text
stringlengths 1
1.05M
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|---|
-- Danske
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ENDPOINT_OAUTH2', 'https://sandbox-obp-api.danskebank.com/sandbox-open-banking/private/oauth2/token', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ENDPOINT_DOMESTIC_CONSENT', 'https://sandbox-obp-api.danskebank.com/sandbox-open-banking/v3.1/pisp/domestic-payment-consents', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ENDPOINT_AUTHORIZE', 'https://sandbox-obp-auth.danskebank.com/sandbox-open-banking/private/oauth2/authorize', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ENDPOINT_DOMESTIC_PAYMENT', 'https://sandbox.hsbc.com/psd2/obie/v3.1/domestic-payments', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ENDPOINT_ACCOUNT_ACCESS_CONSENT', 'https://sandbox-obp-api.danskebank.com/sandbox-open-banking/v3.1/aisp/account-access-consents', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ENDPOINT_ACCOUNTS', 'https://sandbox-obp-api.danskebank.com/sandbox-open-banking/v3.1/aisp/accounts', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('FAPI_FINANCIAL_ID', '', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('CLIENT_ID', '', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('AUD', 'https://sandbox-obp-api.danskebank.com/sandbox-open-banking/private', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('ISS', '', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('TOKEN_ENDPOINT_AUTH_METHOD', 'tls_client_auth', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('AUTHENTICATION_TOKEN', '', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('REDIRECT_URL', 'https://openbanking.skyplainsoft.com/callback', 'danske');
INSERT INTO config_table(config_name, config_value, aspsp_id) VALUES ('APPLICATION_TYPE', 'web', 'danske');
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DROP TABLE POSSIBLE_ANSWER;
|
ALTER TYPE building_type ADD VALUE 'present_a';
ALTER TYPE building_type ADD VALUE 'present_b';
ALTER TYPE task_type ADD VALUE 'collect_reward';
-- If you must use another version of pg than paddlers main, then it might not be possible to run above code in a transaction.
-- This is an example for the be a workaround that has been used before updating pg.
-- INSERT INTO pg_enum (enumtypid, enumlabel, enumsortorder)
-- SELECT 'building_type'::regtype::oid, 'present_a',
-- ( SELECT MAX(enumsortorder) + 1 FROM pg_enum WHERE enumtypid = 'building_type'::regtype );
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/*
Navicat MySQL Data Transfer
Source Server : 10.36.33.60
Source Server Version : 50725
Source Host : localhost:3306
Source Database : kongx_for_java
Target Server Type : MYSQL
Target Server Version : 50725
File Encoding : 65001
Date: 2020-10-12 12:00:11
*/
SET FOREIGN_KEY_CHECKS=0;
CREATE DATABASE IF NOT EXISTS kongx_serve DEFAULT CHARACTER SET = utf8mb4;
Use kongx_serve;
-- ----------------------------
-- Table structure for kongx_operation_log
-- ----------------------------
DROP TABLE IF EXISTS `kongx_operation_log`;
CREATE TABLE `kongx_operation_log` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`userId` varchar(64) DEFAULT NULL,
`profile` varchar(32) DEFAULT NULL,
`creator` varchar(255) DEFAULT NULL,
`operation_type` varchar(255) DEFAULT NULL,
`content` json DEFAULT NULL,
`target` varchar(255) DEFAULT NULL,
`create_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
`remark` varchar(2048) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `idx_target_hash` (`target`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=54 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of kongx_operation_log
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_server_config
-- ----------------------------
DROP TABLE IF EXISTS `kongx_server_config`;
CREATE TABLE `kongx_server_config` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`config_key` varchar(255) DEFAULT NULL,
`config_value` text,
`config_type` varchar(255) DEFAULT NULL COMMENT '参数类型',
`comment` varchar(2048) DEFAULT NULL,
`create_at` timestamp NULL DEFAULT NULL,
`creator` varchar(255) DEFAULT NULL,
`modifier` varchar(255) DEFAULT NULL,
`modify_at` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `unique_config_key` (`config_key`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=22 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of kongx_server_config
-- ----------------------------
INSERT INTO `kongx_server_config` VALUES ('1', 'super_admin', 'admin', 'system', '超级管理员', '2019-12-12 16:34:07', 'admin', null, '2019-12-12 16:33:58.156');
INSERT INTO `kongx_server_config` VALUES ('6', 'envs', '[\n {\n \"name\": \"开发环境\",\n \"code\": \"dev\",\n \"deployType\": \"beta\",\n \"profiles\": [\n {\n \"profile\":\"f\",\n \"code\":\"betaf\"\n }\n ]\n },\n {\n \"name\": \"测试环境\",\n \"code\": \"beta\",\n \"deployType\": \"beta\",\n \"profiles\": [\n {\n \"profile\":\"a\",\n \"code\":\"betaa\"\n }]\n }]\n', 'system', '环境列表，默认支持', '2019-12-16 17:06:27', null, null, '2019-12-16 16:37:53.122');
INSERT INTO `kongx_server_config` VALUES ('7', 'envs_extension', '[]', 'extension', '环境列表的扩展配置', '2019-12-16 16:09:21', null, null, '2019-12-16 16:08:59.814');
INSERT INTO `kongx_server_config` VALUES ('12', 'auth_server_code', 'auth_server', null, '用户中心的访问地址代码', '2020-01-14 10:53:09', null, null, null);
INSERT INTO `kongx_server_config` VALUES ('13', 'default_domains', '[\"examples.com\",\"a.examples.com\"]', null, '默认的网关域名列表', '2020-01-19 11:43:34', null, null, '2020-01-19 11:43:45.75');
INSERT INTO `kongx_server_config` VALUES ('20', 'config_type', '[{\"label\":\"内置参数\",\"value\":\"system\"},{\"label\":\"扩展参数\",\"value\":\"extension\"}]', 'system', '系统内置参数', '2020-04-09 16:36:52', null, null, '2020-04-09 19:19:56.202');
INSERT INTO `kongx_server_config` VALUES ('21', 'config_type_extension', '[{\"label\":\"其它参数\",\"value\":\"other\"}]', 'extension', '扩展参数类型', '2020-04-09 19:31:05', null, null, '2020-04-09 19:31:05.433');
-- ----------------------------
-- Table structure for kongx_sync_config
-- ----------------------------
DROP TABLE IF EXISTS `kongx_sync_config`;
CREATE TABLE `kongx_sync_config` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`sync_no` varchar(255) DEFAULT NULL,
`services` json DEFAULT NULL,
`dest_clients` json DEFAULT NULL,
`comment` varchar(4000) DEFAULT NULL,
`status` varchar(255) DEFAULT NULL,
`creator` varchar(255) DEFAULT NULL,
`create_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
`data_type` varchar(255) DEFAULT NULL,
`policy` varchar(255) DEFAULT NULL,
`src_client` json DEFAULT NULL,
`log_type` int(11) DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of kongx_sync_config
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_sync_log
-- ----------------------------
DROP TABLE IF EXISTS `kongx_sync_log`;
CREATE TABLE `kongx_sync_log` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`sync_no` varchar(255) DEFAULT NULL,
`service` varchar(255) DEFAULT NULL,
`src_client` varchar(255) DEFAULT NULL,
`dest_client` varchar(255) DEFAULT NULL,
`creator` varchar(255) DEFAULT NULL,
`create_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
`status` varchar(255) DEFAULT NULL,
`content` json DEFAULT NULL,
`comment` varchar(2048) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of kongx_sync_log
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_system_function
-- ----------------------------
DROP TABLE IF EXISTS `kongx_system_function`;
CREATE TABLE `kongx_system_function` (
`id` int(64) NOT NULL AUTO_INCREMENT,
`parent_id` bigint(20) DEFAULT NULL COMMENT '父ID',
`code` varchar(64) DEFAULT NULL COMMENT '编码',
`name` varchar(64) NOT NULL COMMENT '菜单名称',
`menu_icon` varchar(512) DEFAULT NULL COMMENT '图标icon',
`visit_view` varchar(2048) DEFAULT NULL COMMENT '访问视图',
`visit_path` varchar(1024) DEFAULT NULL COMMENT '访问路径',
`use_yn` varchar(6) NOT NULL DEFAULT 'y' COMMENT '是否可用n-不可用，y-可用',
`menu_type` varchar(20) NOT NULL DEFAULT 'menu' COMMENT '菜单类型(menu=菜单,point=功能点)',
`application_code` varchar(64) NOT NULL DEFAULT 'kongx' COMMENT '所属系统code',
`sort_order` int(11) DEFAULT '0' COMMENT '排序，小的在前面',
PRIMARY KEY (`id`),
KEY `nh_parentid` (`parent_id`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=60 DEFAULT CHARSET=utf8mb4 COMMENT='系统菜单表';
-- ----------------------------
-- Records of kongx_system_function
-- ----------------------------
INSERT INTO `kongx_system_function` VALUES ('1', '-1', '', '首页', 'icon-shouye', 'page/wel', '/home', 'y', 'menu', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('4', '5', '', 'Kong Shell', 'icon-shell', 'views/gateway/shell/index', 'shell', 'y', 'menu', 'kongx', '7');
INSERT INTO `kongx_system_function` VALUES ('5', '-1', null, 'Gateway', 'icon-gateway', '', '/gateway', 'y', 'menu', 'kongx', '4');
INSERT INTO `kongx_system_function` VALUES ('6', '5', '', 'Upstreams', 'icon-gateway', 'views/gateway/upstream/index', 'upstream', 'y', 'menu', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('7', '5', null, 'Services', 'icon-services', 'views/gateway/service/index', 'service', 'y', 'menu', 'kongx', '3');
INSERT INTO `kongx_system_function` VALUES ('8', '5', '', 'Routes', 'icon-route', 'views/gateway/routing/index', 'routing', 'y', 'menu', 'kongx', '4');
INSERT INTO `kongx_system_function` VALUES ('9', '5', '', 'Plugins', 'icon-plugin', 'views/gateway/plugin/index', 'plugin', 'y', 'menu', 'kongx', '5');
INSERT INTO `kongx_system_function` VALUES ('10', '-1', '', '系统管理', 'icon-system', '', '/system', 'y', 'menu', 'kongx', '6');
INSERT INTO `kongx_system_function` VALUES ('11', '10', null, '用户管理', 'icon-yonghuguanli', 'views/admin/user/index', 'user', 'y', 'menu', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('12', '10', null, '角色管理', 'icon-quanxianguanli', 'views/admin/role/index', 'role', 'y', 'menu', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('13', '10', null, '菜单管理', 'icon-caidanguanli', 'views/admin/menu/index', 'menu', 'y', 'menu', 'kongx', '4');
INSERT INTO `kongx_system_function` VALUES ('14', '-1', null, '参数管理', 'icon-canshuguanli', '', '/operating', 'y', 'menu', 'kongx', '7');
INSERT INTO `kongx_system_function` VALUES ('15', '14', null, '环境管理', 'icon-huanjingguanli', 'views/operating/env/index', 'envs', 'y', 'menu', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('16', '14', null, '系统参数', 'icon-xitongcanshu', 'views/operating/params/index', 'params', 'y', 'menu', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('17', '-1', null, '日志管理', 'icon-rizhiguanli1', '', '/audit', 'y', 'menu', 'kongx', '8');
INSERT INTO `kongx_system_function` VALUES ('18', '17', '', '同步日志', 'icon-sync', 'views/operating/synclog/index', 'synclog', 'y', 'menu', 'kongx', '3');
INSERT INTO `kongx_system_function` VALUES ('19', '17', null, '操作日志', 'icon-log', 'views/operating/log/index', 'operationlog', 'y', 'menu', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('20', '6', 'upstream_add', '新增上游代理', '', '', '', 'y', 'point', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('21', '6', 'upstream_update', '修改上游代理', '', '', '', 'y', 'point', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('22', '6', 'upstream_delete', '删除上游代理', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('23', '7', 'service_add', '新增服务', '', '', '', 'y', 'point', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('24', '7', 'service_update', '修改服务', '', '', '', 'y', 'point', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('25', '7', 'service_delete', '删除服务', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('26', '7', 'service_sync', '同步服务', '', '', '', 'y', 'point', 'kongx', '4');
INSERT INTO `kongx_system_function` VALUES ('27', '8', 'route_update', '更新路由', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('28', '8', 'route_delete', '删除路由', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('29', '9', 'plugin_update', '更新插件', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('30', '9', 'plugin_delete', '删除插件', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('31', '9', 'plugin_add', '新增插件', '', '', '', 'y', 'point', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('32', '11', 'user_authority', '用户授权', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('33', '13', 'menu_add', '新建菜单', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('34', '13', 'menu_delete', '删除菜单', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('35', '13', 'menu_update', '修改菜单', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('36', '12', 'role_add', '新建角色', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('37', '12', 'role_update', '修改角色', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('38', '12', 'role_config', '配置权限', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('39', '7', 'service_view', '查看服务', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('40', '6', 'upstream_view', '查看上游代理', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('41', '8', 'route_view', '查看路由', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('42', '9', 'plugin_view', '查看插件', '', '', '', 'y', 'point', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('43', '11', 'user_view', '查看用户列表', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('44', '13', 'menu_view', '查看菜单', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('45', '12', 'role_view', '查看角色', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('46', '16', 'params_view', '查看系统参数', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('47', '10', null, '用户组管理', 'icon-yonghuzuguanli', 'views/admin/usergroup/index', 'group', 'y', 'menu', 'kongx', '3');
INSERT INTO `kongx_system_function` VALUES ('48', '47', 'usergroup_add', '新增用户组', '', '', '', 'y', 'point', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('49', '47', 'usergroup_update', '修改用户组', '', '', '', 'y', 'point', 'kongx', '2');
INSERT INTO `kongx_system_function` VALUES ('50', '47', 'usergroup_delete', '删除用户组', '', '', '', 'y', 'point', 'kongx', '3');
INSERT INTO `kongx_system_function` VALUES ('51', '47', 'usergroup_view', '查看用户组', '', '', '', 'y', 'point', 'kongx', '1');
INSERT INTO `kongx_system_function` VALUES ('52', '47', 'usergroup_config', '用户组配置', '', '', '', 'y', 'point', 'kongx', '4');
INSERT INTO `kongx_system_function` VALUES ('53', '5', '', 'Consumers', 'icon-consumer', 'views/gateway/consumer/index', '', 'y', 'menu', 'kongx', '6');
INSERT INTO `kongx_system_function` VALUES ('54', '53', 'consumer_view', 'view consumers', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('55', '16', 'params_add', '新增参数', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('56', '16', 'params_update', '修改参数', '', '', '', 'y', 'point', 'kongx', '999');
INSERT INTO `kongx_system_function` VALUES ('58', '15', 'manage_env', '环境维护', '', '', '', 'y', 'point', 'kongx', '999');
-- ----------------------------
-- Table structure for kongx_system_profile
-- ----------------------------
DROP TABLE IF EXISTS `kongx_system_profile`;
CREATE TABLE `kongx_system_profile` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`profile_code` varchar(255) DEFAULT NULL COMMENT '环境编码',
`name` varchar(255) DEFAULT NULL,
`env` varchar(255) DEFAULT NULL COMMENT '所属环境',
`deploy_type` varchar(255) DEFAULT NULL COMMENT '部署类型',
`ab` varchar(255) DEFAULT NULL COMMENT '简称',
`version` varchar(255) DEFAULT '' COMMENT 'kong版本号',
`url` varchar(255) DEFAULT NULL,
`extensions` varchar(4000) DEFAULT NULL,
`create_at` timestamp NULL DEFAULT NULL,
`profile` varchar(255) DEFAULT NULL,
`creator` varchar(255) DEFAULT NULL,
`remark` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `uh_profile_code` (`profile_code`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=42 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of kongx_system_profile
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_system_role
-- ----------------------------
DROP TABLE IF EXISTS `kongx_system_role`;
CREATE TABLE `kongx_system_role` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`code` varchar(64) DEFAULT NULL COMMENT '角色编码',
`name` varchar(64) DEFAULT NULL COMMENT '角色名称',
`role_type` varchar(32) DEFAULT NULL COMMENT '角色类型: roleType 菜单角色，数据权限角色',
`sort_order` bigint(20) DEFAULT NULL COMMENT '排序',
`use_yn` varchar(6) DEFAULT NULL COMMENT '是否可用n-不可用，y-可用',
`remark` varchar(1024) DEFAULT NULL COMMENT '备注',
`create_at` timestamp NULL DEFAULT NULL,
`creator` varchar(255) CHARACTER SET utf8 DEFAULT NULL,
`modifier` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '修改人',
`modify_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COMMENT='系统角色表';
-- ----------------------------
-- Records of kongx_system_role
-- ----------------------------
INSERT INTO `kongx_system_role` VALUES ('1', 'super_admin', '超级管理员', 'menu', null, 'y', null, '2020-05-11 16:00:00', 'admin', 'admin', '2020-09-28 15:05:49');
INSERT INTO `kongx_system_role` VALUES ('2', 'domestic_consumer', '普通用户', 'menu', null, 'y', null, '2020-05-09 16:42:53', 'admin', 'admin', '2020-09-28 15:05:51');
-- ----------------------------
-- Table structure for kongx_system_role_function
-- ----------------------------
DROP TABLE IF EXISTS `kongx_system_role_function`;
CREATE TABLE `kongx_system_role_function` (
`id` int(64) NOT NULL AUTO_INCREMENT,
`role_id` bigint(20) DEFAULT NULL COMMENT '角色Id',
`half_checked` varchar(11) DEFAULT 'y' COMMENT '是否半选中',
`function_id` bigint(20) DEFAULT NULL COMMENT '菜单id',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=351 DEFAULT CHARSET=utf8mb4 ROW_FORMAT=DYNAMIC COMMENT='系统角色与菜单关系表';
-- ----------------------------
-- Table structure for kongx_system_user_role
-- ----------------------------
DROP TABLE IF EXISTS `kongx_system_user_role`;
CREATE TABLE `kongx_system_user_role` (
`id` int(64) NOT NULL AUTO_INCREMENT,
`user_id` varchar(64) DEFAULT NULL COMMENT '用户Id',
`role_id` bigint(20) DEFAULT NULL COMMENT '角色id',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='用户与角色关系表';
-- ----------------------------
-- Records of kongx_system_user_role
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_user_group
-- ----------------------------
DROP TABLE IF EXISTS `kongx_user_group`;
CREATE TABLE `kongx_user_group` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(1024) DEFAULT NULL COMMENT '用户组名称',
`use_yn` varchar(255) DEFAULT NULL COMMENT '是否可用',
`create_at` timestamp NULL DEFAULT NULL COMMENT '创建时间',
`creator` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '创建人',
`modifier` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '修改人',
`modify_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
`remark` varchar(255) DEFAULT NULL COMMENT '备注',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8mb4 COMMENT='用户组';
-- ----------------------------
-- Records of kongx_user_group
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_user_group_role
-- ----------------------------
DROP TABLE IF EXISTS `kongx_user_group_role`;
CREATE TABLE `kongx_user_group_role` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`group_id` int(11) NOT NULL COMMENT '用户组ID',
`role_id` int(11) NOT NULL COMMENT '角色ID',
`profile` varchar(255) NOT NULL COMMENT '所属环境',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='用户组与角色关系表';
-- ----------------------------
-- Records of kongx_user_group_role
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_user_group_user
-- ----------------------------
DROP TABLE IF EXISTS `kongx_user_group_user`;
CREATE TABLE `kongx_user_group_user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`group_id` int(11) NOT NULL COMMENT '用户组ID',
`user_id` varchar(255) NOT NULL COMMENT '用户ID',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='用户组与用户的关系表';
-- ----------------------------
-- Records of kongx_user_group_user
-- ----------------------------
-- ----------------------------
-- Table structure for kongx_user_info
-- ----------------------------
DROP TABLE IF EXISTS `kongx_user_info`;
CREATE TABLE `kongx_user_info` (
`user_id` varchar(50) NOT NULL COMMENT '用户Id',
`name` varchar(50) NOT NULL COMMENT '用户名',
`email` varchar(50) DEFAULT '' COMMENT '邮箱',
`mobile` varchar(50) DEFAULT NULL COMMENT '手机号',
`password` varchar(255) NOT NULL,
`status` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '状态',
`creator` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '创建人',
`create_at` timestamp NULL DEFAULT NULL COMMENT '创建时间',
PRIMARY KEY (`user_id`),
KEY `mobile` (`mobile`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='用户表';
-- ----------------------------
-- Records of kongx_user_info
-- ----------------------------
INSERT INTO `kongx_user_info` VALUES ('admin', 'admin', '', '', '60029c3f5fdb5f1291362f52f7251702507ebc5b', 'activate', 'admin', '2020-09-10 18:21:38');
-- ----------------------------
-- Records of kongx_system_role_function super_admin的权限信息
-- ----------------------------
insert into kongx_system_role_function(role_id,half_checked,function_id)
select '1' role_id,'n' half_checked,'-1' as function_id
union all
select '1' role_id,'n' half_checked,id as function_id from kongx_system_function;
-- ----------------------------
-- Records of kongx_system_role_function 初始化domestic_consumer权限信息
-- ----------------------------
insert into kongx_system_role_function(role_id,half_checked,function_id)
select '2' role_id,'y' half_checked,'-1' as function_id
union
select '2' role_id,'y' half_checked,id as function_id from kongx_system_function where name in ('Gateway','Upstreams','Services','Routes','Plugins','Kong Shell','Consumers','Certificates','日志管理')
union
select '2' role_id,'n' half_checked,id as function_id from kongx_system_function where code in ('service_view','upstream_view','route_view','plugin_view','consumer_view','certificate_view')
union
select '2' role_id,'n' half_checked,id as function_id from kongx_system_function where name='操作日志'
|
CREATE TABLE IF NOT EXISTS cargo (
id BIGSERIAL NOT NULL PRIMARY KEY,
cid text NOT NULL UNIQUE,
account text NOT NULL,
timestamp INTEGER NOT NULL DEFAULT EXTRACT(EPOCH FROM NOW()),
mkarr text[] NOT NULL,
mkroot text NOT NULL DEFAULT '0',
blocknum text NOT NULL DEFAULT '0',
done boolean NOT NULL DEFAULT FALSE
);
|
Modification de données
On va utiliser la commande UPDATE pour modifier des données déjà enregistrée.
UPDATE nom_table
SET col1 = val1 [, col2 = val2, ...]
[WHERE ...];
Attention à bien préciser la clause WHERE qui permet de localiser la ligne dans laquelle vous voulez modifier une valeur. Sans elle, toutes les lignes de la colonne concernée seront modifiées ! Nous reparlerons de WHERE plus en détails juste après.
Prenons comme exemple une table qui représente notre collection de films. Cette table contient quatre colonnes : une colonne id, titre, description, format. Si on veut modifier le titre du film “avatar”, voici la requête qu’il faut :
UPDATE films
SET titre = 'Avatar 2'
WHERE titre = 'avatar';
Évidemment, on peut modifier plusieurs ligne à la fois. Mettons que l’on veuille préciser dans la description le format des films en mp4 :
UPDATE films
SET description = 'Ce film a été encodé en mp4'
WHERE format = 'mp4';
Automatiquement, toutes les descriptions des films ayant pour format mp4 seront changées. Vous comprenez donc surement l’utilité du WHERE, qui ajoute une condition. Sans cette condition, toutes les lignes sont concernées !
|
--
-- PostgreSQL database cluster dump
--
SET default_transaction_read_only = off;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
--
-- Drop databases
--
DROP DATABASE gerpro_dev;
--
-- Drop roles
--
DROP ROLE postgres;
--
-- Roles
--
CREATE ROLE postgres;
ALTER ROLE postgres WITH SUPERUSER INHERIT CREATEROLE CREATEDB LOGIN REPLICATION BYPASSRLS PASSWORD 'md5a3556571e93b0d20722ba62be61e8c2d';
ALTER ROLE postgres SET "TimeZone" TO '+03:00';
--
-- Database creation
--
CREATE DATABASE gerpro_dev WITH TEMPLATE = template0 OWNER = postgres CONNECTION LIMIT = 25;
REVOKE CONNECT,TEMPORARY ON DATABASE template1 FROM PUBLIC;
GRANT CONNECT ON DATABASE template1 TO PUBLIC;
\connect gerpro_dev
SET default_transaction_read_only = off;
--
-- PostgreSQL database dump
--
-- Dumped from database version 9.6.3
-- Dumped by pg_dump version 9.6.3
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET row_security = off;
--
-- Name: tests; Type: SCHEMA; Schema: -; Owner: postgres
--
CREATE SCHEMA tests;
ALTER SCHEMA tests OWNER TO postgres;
--
-- Name: plpgsql; Type: EXTENSION; Schema: -; Owner:
--
CREATE EXTENSION IF NOT EXISTS plpgsql WITH SCHEMA pg_catalog;
--
-- Name: EXTENSION plpgsql; Type: COMMENT; Schema: -; Owner:
--
COMMENT ON EXTENSION plpgsql IS 'PL/pgSQL procedural language';
SET search_path = public, pg_catalog;
--
-- Name: before_update_updated_at(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION before_update_updated_at() RETURNS trigger
LANGUAGE plpgsql
AS $$
BEGIN
new.updated_at = now();
RETURN new;
END;
$$;
ALTER FUNCTION public.before_update_updated_at() OWNER TO postgres;
--
-- Name: clock_now(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION clock_now() RETURNS timestamp without time zone
LANGUAGE plpgsql
AS $$
DECLARE
clock_mocked_at TIMESTAMP;
BEGIN
SELECT INTO clock_mocked_at key_value::TIMESTAMP FROM parameters WHERE category_name = 'Tests' AND key_name = 'clock_mocked_at';
IF clock_mocked_at ISNULL OR
NOT (select description = 'DevelopmentDB' from pg_shdescription join pg_database on objoid = pg_database.oid where datname = current_database()) THEN
RETURN clock_timestamp();
END IF;
RAISE NOTICE '============ NECESSARIO MUDAR O COMMENT DO BANCO PARA DevelopmentDB para retornar o clock mockado para o IP %', inet_server_addr()::TEXT;
RETURN clock_mocked_at;
END;
$$;
ALTER FUNCTION public.clock_now() OWNER TO postgres;
--
-- Name: execution_queue_delete_after_update_executed_sets_true(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION execution_queue_delete_after_update_executed_sets_true() RETURNS trigger
LANGUAGE plpgsql
AS $$
BEGIN
IF NEW.executed THEN
DELETE FROM execution_queue WHERE id = NEW.id;
END IF;
RETURN new;
END;
$$;
ALTER FUNCTION public.execution_queue_delete_after_update_executed_sets_true() OWNER TO postgres;
--
-- Name: execution_queue_to_json(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION execution_queue_to_json() RETURNS json
LANGUAGE plpgsql
AS $$
BEGIN
RETURN execution_queue_to_json(false);
END
$$;
ALTER FUNCTION public.execution_queue_to_json() OWNER TO postgres;
--
-- Name: execution_queue_to_json(boolean); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION execution_queue_to_json(humanized boolean) RETURNS json
LANGUAGE plpgsql
AS $$
DECLARE
execution_queue_json JSON;
notifications_json JSON;
BEGIN
-- Funcoes row_to_json usada para converter uma tupla inteira para JSON,
-- array_agg para fazer agregacao de varias tuplas numa soh e
-- array_to_json que converte o resultado de tudo isso para JSON
-- sao as que fazem o milagre
SELECT INTO execution_queue_json array_to_json(array_agg(row_to_json(eqj, humanized))) AS execution_queue
FROM ( SELECT eq.id, eq.task_check_id, eq.next_execution,
tc.name AS task_check_name, tc.description AS task_check_description, pl.name AS place_name, us.name, us.email, us.mobile_message,
( SELECT array_to_json(array_agg(row_to_json(nj, humanized))) AS notifications
FROM ( SELECT ns.notification_type_id, pm.key_name AS notifications_type_name
FROM notifications ns
INNER JOIN parameters pm ON ns.notification_type_id = pm.id
INNER JOIN task_checks tc ON ns.task_check_id = tc.id
WHERE tc.id = eq.task_check_id
) nj
) AS notifications
FROM execution_queue eq
INNER JOIN task_checks tc ON eq.task_check_id = tc.id
INNER JOIN places pl ON tc.place_id = pl.id
INNER JOIN users us ON tc.user_checker_id = us.id
) eqj;
RETURN execution_queue_json;
END
$$;
ALTER FUNCTION public.execution_queue_to_json(humanized boolean) OWNER TO postgres;
--
-- Name: execution_queue_to_json(boolean, boolean); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION execution_queue_to_json(humanized boolean, text_json boolean) RETURNS text
LANGUAGE plpgsql
AS $$
BEGIN
RETURN execution_queue_to_json(humanized)::TEXT;
END
$$;
ALTER FUNCTION public.execution_queue_to_json(humanized boolean, text_json boolean) OWNER TO postgres;
--
-- Name: insert_into_execution_queue(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue() RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
ts_inserted INTEGER; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
BEGIN
ts_inserted = 0;
ts_inserted = ts_inserted + ( insert_into_execution_queue_one_time() );
ts_inserted = ts_inserted + ( insert_into_execution_queue_daily() );
ts_inserted = ts_inserted + ( insert_into_execution_queue_weekly() );
ts_inserted = ts_inserted + ( insert_into_execution_queue_monthly() );
ts_inserted = ts_inserted + ( insert_into_execution_queue_yearly() );
RETURN ts_inserted; -- Quantidades de linhas inseridas na tabela execution_queue
END
$$;
ALTER FUNCTION public.insert_into_execution_queue() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_daily(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_daily() RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
task_check_to_insert RECORD; -- Usada no loop FOR para inserir na tabela execution_queue
inserted INTEGER; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
moment TIMESTAMP; -- Momento atual + 5 minutos que eh o momento para a proxima execucao
today DATE; -- Data do momento atual
BEGIN
moment = date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
today = moment::DATE;
inserted = 0;
FOR task_check_to_insert IN
SELECT tc.id,
--- dt.hour || ':' || dt.minute AS horario,
--- ns.notification_type_id,
--- ns.pre_notify_days, ns.pre_notify_hours, ns.pre_notify_minutes, tc.repeats_every,
-- Periodicidade value e name
--- pm.key_value AS periodicity_key_value, pm.key_name AS periodicity_key_name,
-- Inicio de todas as notificacoes
--- tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') AS inicio_de_todas_as_notificacoes,
-- Fim de todas as notificacoes
--- tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) AS fim_de_todas_as_notificacoes,
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) AS momento_de_iniciar_notiicacao,
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) ) * interval '1 minute' ) AS momento_de_finalizar_notiicacao,
-- Minutos passados desde o inicio das notificacoes
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER AS minutos_passados_desde_o_inicio_das_notificacoes,
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- AS minutos_passados_desde_o_inicio_das_notificacoes_a_cada_5_min,
-- Notificar Agora
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
--- ( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- ) % greatest(1, ns.notify_again_every) = 0
--- AS notificar_agora,
-- Dias do mes em que ocorrera a verificacao da tarefa
--- date_part('DAY', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'),
-- Dentro da periodicidade?
--( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 day' ) ) AS dias_desde_a_primeira_notificacao, -- Está no dia de notificar (considerando os dias para comecar a notificar)
-- Proxima notificacao em YYYY-MM-DD hh:mm:ss
-- Momento de iniciar a notificacao +
( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' )
) +
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) * interval '1 minute'
AS next_execution
FROM task_checks tc
INNER JOIN days_times dt ON tc.id = dt.task_check_id
INNER JOIN notifications ns ON tc.id = ns.task_check_id
INNER JOIN parameters pm ON tc.periodicity_id = pm.id
WHERE tc.active AND
-- Periodicidade DIARIO
pm.category_name = 'periodicidades' AND pm.key_name = 'diario' AND
-- Inicio de todas as notificacoes eh menor que o momento atual
tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') <= moment AND -- Inicia antes de hoje ou hoje (considerando os dias, horas e minutos para comecar a notificar)
-- Fim de todas as notificacoes eh maior que o momento atual
( tc.ends_at ISNULL OR tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) >= moment ) AND -- Nao finaliza hoje (ou depois considerando dias horas e minutos para notificar)
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh menor ou igual que a hora atual? (ja iniciou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) <= moment AND
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh maior ou igual que a hora atual? (ainda nao terminou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) ) * interval '1 minute' ) >= moment AND
-- Notificar Agora? (Estah no momento de notificar a cada x minutos?)
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) % greatest(1, ns.notify_again_every) = 0 AND
-- Dentro da periodicidade?
( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 day' ) ) % greatest(1,tc.repeats_every) = 0 -- Está no dia de notificar (considerando os dias para comecar a notificar)
LOOP
IF ( SELECT count(*) FROM execution_queue WHERE task_check_id = task_check_to_insert.id AND next_execution = task_check_to_insert.next_execution ) = 0 THEN
-- Nao existe na fila de execucao ainda entao INSERE
INSERT INTO execution_queue (task_check_id, next_execution) VALUES (task_check_to_insert.id, task_check_to_insert.next_execution);
inserted = inserted + 1;
END IF;
END LOOP;
RETURN inserted; -- Quantidades de linhas inseridas na tabela execution_queue
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_daily() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_daily_test(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_daily_test() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[2]; -- Hora para o Teste
days_time_minute_to_test INTEGER[2]; -- Minuto para o Teste
task_check_id_test INTEGER[2]; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
moment TIMESTAMP; -- Momento atual + 5 ou 10 minutos que eh o momento para a proxima execucao (arredondado de 5 em 5 minutos)
inserteds INTEGER[2]; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
inserted INTEGER; -- Serah armazenado no array inserteds
BEGIN
PERFORM set_clock_now('2017-08-27T16:55:00'); -- Faz mock do relogio
start_time_test := clock_now();
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'diario';
-- RAISE NOTICE 'place_id_test = %', place_id_test;
-- RAISE NOTICE 'periodicity_id_test = %', periodicity_id_test;
date_test := clock_now()::DATE;
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[1] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[1] := date_part('minute', moment)::INTEGER;
-- RAISE NOTICE 'date_test = %, days_time_hour_to_test = %, days_time_minute_to_test = %', date_test, days_time_hour_to_test, days_time_minute_to_test;
task_check_test :=
'{ "name": "Teste 1 - SEM ANTECEDECIA E SEM RENOTIFICACAO",
"description": "Teste de tarefa diaria 1.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[1] := tc_id;
moment := date_trunc('minute', clock_now()) + interval '15 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[2] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[2] := date_part('minute', moment)::INTEGER;
task_check_test :=
'{ "name": "Teste 2 - COM ANTECEDECIA E COM RENOTIFICACAO",
"description": "Teste de tarefa diaria 2.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[2] || ', "minute": ' || days_time_minute_to_test[2] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 10, "notify_again_every": 5 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[2] := tc_id;
-- RAISE NOTICE 'task_check_id_test = %', task_check_id_test;
--PERFORM set_clock_now('2017-08-27T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(1);
PERFORM set_clock_now('2017-08-27T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_daily();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 10 minutos antes...', 5;
PERFORM set_clock_now('2017-08-27T17:00:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_daily();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 5 minutos antes...', 5;
PERFORM set_clock_now('2017-08-27T17:05:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_daily();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir do momento da ultima notificacao...', 5;
PERFORM set_clock_now('2017-08-27T17:10:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_daily();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
PERFORM set_clock_now('2017-08-27T17:15:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_daily();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[1];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[2];
DELETE FROM task_checks WHERE id = task_check_id_test[1];
DELETE FROM task_checks WHERE id = task_check_id_test[2];
DELETE FROM places WHERE id = place_id_test;
RAISE NOTICE 'clock_now(): %', clock_now();
end_time_test := clock_now();
PERFORM set_clock_now(NULL); -- Desfaz mock do relogio
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'insert_into_execution_queue_daily()'::VARCHAR(64) AS function_name,
(inserteds[1] = 1 AND inserteds[2] = 3) AS test_passed,
('Esperados: inserteds[1] = 1, inserteds[2] = 3' || E'\n' || 'Retornados: inserteds[1] = ' || inserteds[1] || ', inserteds[2] = ' || inserteds[2] )::TEXT AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_daily_test() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_monthly(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_monthly() RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
task_check_to_insert RECORD; -- Usada no loop FOR para inserir na tabela execution_queue
inserted INTEGER; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
moment TIMESTAMP; -- Momento atual + 5 minutos que eh o momento para a proxima execucao
today DATE; -- Data do momento atual
BEGIN
moment = date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
today = moment::DATE;
inserted = 0;
FOR task_check_to_insert IN
SELECT tc.id,
--- dt.hour || ':' || dt.minute AS horario,
--- ns.notification_type_id,
--- ns.pre_notify_days, ns.pre_notify_hours, ns.pre_notify_minutes, tc.repeats_every,
-- Periodicidade value e name
--- pm.key_value AS periodicity_key_value, pm.key_name AS periodicity_key_name,
-- Meses desde que comecou
--- ( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 month' ) ) AS months_from_starts_at,
-- Inicio de todas as notificacoes
--- tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') AS inicio_de_todas_as_notificacoes,
-- Fim de todas as notificacoes
--- tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) AS fim_de_todas_as_notificacoes,
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) AS momento_de_iniciar_notiicacao,
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) ) * interval '1 minute' ) AS momento_de_finalizar_notiicacao,
-- Minutos passados desde o inicio das notificacoes
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER AS minutos_passados_desde_o_inicio_das_notificacoes,
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- AS minutos_passados_desde_o_inicio_das_notificacoes_a_cada_5_min,
-- Notificar Agora
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
--- ( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- ) % greatest(1, ns.notify_again_every) = 0
--- AS notificar_agora,
-- Dias do mes em que ocorrera a verificacao da tarefa
--- date_part('DAY', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'),
-- Proxima notificacao em YYYY-MM-DD hh:mm:ss
-- Momento de iniciar a notificacao +
( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' )
) +
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) * interval '1 minute'
AS next_execution
FROM task_checks tc
INNER JOIN months_days md ON tc.id = md.task_check_id
INNER JOIN days_times dt ON tc.id = dt.task_check_id
INNER JOIN notifications ns ON tc.id = ns.task_check_id
INNER JOIN parameters pm ON tc.periodicity_id = pm.id
WHERE tc.active AND
-- Periodicidade DIARIO
pm.category_name = 'periodicidades' AND pm.key_name = 'mensal' AND
-- Inicio de todas as notificacoes eh menor que o momento atual
tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') <= moment AND -- Inicia antes de hoje ou hoje (considerando os dias, horas e minutos para comecar a notificar)
-- Fim de todas as notificacoes eh maior que o momento atual
( tc.ends_at ISNULL OR tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) >= moment ) AND -- Nao finaliza hoje (ou depois considerando dias horas e minutos para notificar)
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh menor ou igual que a hora atual? (ja iniciou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) <= moment AND
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh maior ou igual que a hora atual? (ainda nao terminou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) ) * interval '1 minute' ) >= moment AND
-- Notificar Agora? (Estah no momento de notificar a cada x minutos?)
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) % greatest(1, ns.notify_again_every) = 0 AND
-- Dias do mes em que ocorrera a verificacao da tarefa
md.month_day = date_part('DAY', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') AND -- Hoje eh dia de notificar (considerando os dias para comecar a notificar)
-- Dentro da periodicidade?
( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 month' ) ) % greatest(1,tc.repeats_every) = 0 -- Está no mês de notificar (considerando os dias para comecar a notificar)
LOOP
IF ( SELECT count(*) FROM execution_queue WHERE task_check_id = task_check_to_insert.id AND next_execution = task_check_to_insert.next_execution ) = 0 THEN
-- Nao existe na fila de execucao ainda entao INSERE
INSERT INTO execution_queue (task_check_id, next_execution) VALUES (task_check_to_insert.id, task_check_to_insert.next_execution);
inserted = inserted + 1;
END IF;
END LOOP;
RETURN inserted; -- Quantidades de linhas inseridas na tabela execution_queue
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_monthly() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_monthly_test(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_monthly_test() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[2]; -- Hora para o Teste
days_time_minute_to_test INTEGER[2]; -- Minuto para o Teste
task_check_id_test INTEGER[2]; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
moment TIMESTAMP; -- Momento atual + 5 ou 10 minutos que eh o momento para a proxima execucao (arredondado de 5 em 5 minutos)
inserteds INTEGER[2]; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
inserted INTEGER; -- Serah armazenado no array inserteds
BEGIN
PERFORM set_clock_now('2017-08-28T16:55:00'); -- Faz mock do relogio
start_time_test := clock_now();
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'mensal';
RAISE NOTICE 'place_id_test = %', place_id_test;
RAISE NOTICE 'periodicity_id_test = %', periodicity_id_test;
date_test := clock_now()::DATE;
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[1] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[1] := date_part('minute', moment)::INTEGER;
RAISE NOTICE 'date_test = %, days_time_hour_to_test = %, days_time_minute_to_test = %', date_test, days_time_hour_to_test, days_time_minute_to_test;
task_check_test :=
'{ "name": "Teste 1 - SEM ANTECEDECIA E SEM RENOTIFICACAO",
"description": "Teste de tarefa diaria 1.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"months_days": [ {"month_day": 28} ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[1] := tc_id;
moment := date_trunc('minute', clock_now()) + interval '15 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[2] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[2] := date_part('minute', moment)::INTEGER;
task_check_test :=
'{ "name": "Teste 2 - COM ANTECEDECIA E COM RENOTIFICACAO",
"description": "Teste de tarefa diaria 2.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[2] || ', "minute": ' || days_time_minute_to_test[2] || ' } ],
"months_days": [ {"month_day": 28} ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 10, "notify_again_every": 5 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[2] := tc_id;
-- RAISE NOTICE 'task_check_id_test = %', task_check_id_test;
--PERFORM set_clock_now('2017-08-28T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(1);
PERFORM set_clock_now('2017-08-28T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_monthly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 10 minutos antes...', 5;
PERFORM set_clock_now('2017-08-28T17:00:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_monthly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 5 minutos antes...', 5;
PERFORM set_clock_now('2017-08-28T17:05:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_monthly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir do momento da ultima notificacao...', 5;
PERFORM set_clock_now('2017-08-28T17:10:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_monthly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
PERFORM set_clock_now('2017-08-28T17:15:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_monthly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[1];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[2];
DELETE FROM task_checks WHERE id = task_check_id_test[1];
DELETE FROM task_checks WHERE id = task_check_id_test[2];
DELETE FROM places WHERE id = place_id_test;
RAISE NOTICE 'clock_now(): %', clock_now();
end_time_test := clock_now();
PERFORM set_clock_now(NULL); -- Desfaz mock do relogio
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'insert_into_execution_queue_monthly()'::VARCHAR(64) AS function_name,
(inserteds[1] = 1 AND inserteds[2] = 3) AS test_passed,
('Esperados: inserteds[1] = 1, inserteds[2] = 3' || E'\n' || 'Retornados: inserteds[1] = ' || inserteds[1] || ', inserteds[2] = ' || inserteds[2] )::TEXT AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_monthly_test() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_one_time(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_one_time() RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
task_check_to_insert RECORD; -- Usada no loop FOR para inserir na tabela execution_queue
inserted INTEGER; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
moment TIMESTAMP; -- Momento atual + 5 minutos que eh o momento para a proxima execucao
today DATE; -- Data do momento atual
BEGIN
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
today := moment::DATE;
inserted := 0;
FOR task_check_to_insert IN
SELECT tc.id,
--- dt.hour || ':' || dt.minute AS horario,
--- ns.notification_type_id,
--- ns.pre_notify_days, ns.pre_notify_hours, ns.pre_notify_minutes, tc.repeats_every,
-- Periodicidade value e name
--- pm.key_value AS periodicity_key_value, pm.key_name AS periodicity_key_name,
-- Inicio de todas as notificacoes
--- tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') AS inicio_de_todas_as_notificacoes,
-- Fim de todas as notificacoes
--- tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) AS fim_de_todas_as_notificacoes,
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) AS momento_de_iniciar_notiicacao,
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) ) * interval '1 minute' ) AS momento_de_finalizar_notiicacao,
-- Minutos passados desde o inicio das notificacoes
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER AS minutos_passados_desde_o_inicio_das_notificacoes,
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- AS minutos_passados_desde_o_inicio_das_notificacoes_a_cada_5_min,
-- Notificar Agora
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % maior(1,repetir a cada x minutos) = 0
--- ( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- ) % greatest(1,ns.notify_again_every) = 0
--- AS notificar_agora,
-- Dias do mes em que ocorrera a verificacao da tarefa
--- date_part('DAY', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'),
-- Proxima notificacao em YYYY-MM-DD hh:mm:ss
-- Momento de iniciar a notificacao +
( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' )
) +
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) * interval '1 minute'
AS next_execution
FROM task_checks tc
INNER JOIN days_times dt ON tc.id = dt.task_check_id
INNER JOIN notifications ns ON tc.id = ns.task_check_id
INNER JOIN parameters pm ON tc.periodicity_id = pm.id
WHERE tc.active AND
-- Periodicidade unica_vez
pm.category_name = 'periodicidades' AND pm.key_name = 'unica_vez' AND
-- Inicio de todas as notificacoes eh menor que o momento atual
tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') <= moment AND -- Inicia antes de hoje ou hoje (considerando os dias, horas e minutos para comecar a notificar)
-- Fim de todas as notificacoes eh maior que o momento atual
( tc.ends_at ISNULL OR tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) >= moment ) AND -- Nao finaliza hoje (ou depois considerando dias horas e minutos para notificar)
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh menor ou igual que a hora atual? (ja iniciou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) <= moment AND
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh maior ou igual que a hora atual? (ainda nao terminou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) ) * interval '1 minute' ) >= moment AND
-- Notificar Agora? (Estah no momento de notificar a cada x minutos?)
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % maior(1,repetir a cada x minutos) = 0
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) % greatest(1,ns.notify_again_every) = 0 AND
-- Dentro da periodicidade?
( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 month' ) ) % greatest(1,tc.repeats_every) = 0 -- Está no mês de notificar (considerando os dias para comecar a notificar)
LOOP
IF ( SELECT count(*) FROM execution_queue WHERE task_check_id = task_check_to_insert.id AND next_execution = task_check_to_insert.next_execution ) = 0 THEN
-- Nao existe na fila de execucao ainda entao INSERE
INSERT INTO execution_queue (task_check_id, next_execution) VALUES (task_check_to_insert.id, task_check_to_insert.next_execution);
inserted = inserted + 1;
END IF;
END LOOP;
RETURN inserted; -- Quantidades de linhas inseridas na tabela execution_queue
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_one_time() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_one_time_test(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_one_time_test() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[2]; -- Hora para o Teste
days_time_minute_to_test INTEGER[2]; -- Minuto para o Teste
task_check_id_test INTEGER[2]; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
moment TIMESTAMP; -- Momento atual + 5 ou 10 minutos que eh o momento para a proxima execucao (arredondado de 5 em 5 minutos)
inserteds INTEGER[2]; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
inserted INTEGER; -- Serah armazenado no array inserteds
BEGIN
PERFORM set_clock_now('2017-08-27T16:55:00'); -- Faz mock do relogio
start_time_test := clock_now();
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'unica_vez';
-- RAISE NOTICE 'place_id_test = %', place_id_test;
-- RAISE NOTICE 'periodicity_id_test = %', periodicity_id_test;
date_test := clock_now()::DATE;
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[1] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[1] := date_part('minute', moment)::INTEGER;
-- RAISE NOTICE 'date_test = %, days_time_hour_to_test = %, days_time_minute_to_test = %', date_test, days_time_hour_to_test, days_time_minute_to_test;
task_check_test :=
'{ "name": "Teste 1 - SEM ANTECEDECIA E SEM RENOTIFICACAO",
"description": "Teste de tarefa unica 1 que serah inserida na fila uma unica vez.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
-- RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[1] := tc_id;
moment := date_trunc('minute', clock_now()) + interval '15 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[2] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[2] := date_part('minute', moment)::INTEGER;
task_check_test :=
'{ "name": "Teste 2 - COM ANTECEDECIA E COM RENOTIFICACAO",
"description": "Teste de tarefa unica 2 que serah inserida na fila uma unica vez.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[2] || ', "minute": ' || days_time_minute_to_test[2] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 10, "notify_again_every": 5 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[2] := tc_id;
-- RAISE NOTICE 'task_check_id_test = %', task_check_id_test;
--PERFORM set_clock_now('2017-08-27T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(1);
PERFORM set_clock_now('2017-08-27T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_one_time();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 10 minutos antes...', 5;
PERFORM set_clock_now('2017-08-27T17:00:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_one_time();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 5 minutos antes...', 5;
PERFORM set_clock_now('2017-08-27T17:05:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_one_time();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir do momento da ultima notificacao...', 5;
PERFORM set_clock_now('2017-08-27T17:10:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_one_time();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
PERFORM set_clock_now('2017-08-27T17:15:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_one_time();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[1];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[2];
DELETE FROM task_checks WHERE id = task_check_id_test[1];
DELETE FROM task_checks WHERE id = task_check_id_test[2];
DELETE FROM places WHERE id = place_id_test;
RAISE NOTICE 'clock_now(): %', clock_now();
end_time_test := clock_now();
PERFORM set_clock_now(NULL); -- Desfaz mock do relogio
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'insert_into_execution_queue_one_time()'::VARCHAR(64) AS function_name,
(inserteds[1] = 1 AND inserteds[2] = 3) AS test_passed,
('Esperados: inserteds[1] = 1, inserteds[2] = 3' || E'\n' || 'Retornados: inserteds[1] = ' || inserteds[1] || ', inserteds[2] = ' || inserteds[2] )::TEXT AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_one_time_test() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_weekly(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_weekly() RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
task_check_to_insert RECORD; -- Usada no loop FOR para inserir na tabela execution_queue
inserted INTEGER; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
moment TIMESTAMP; -- Momento atual + 5 minutos que eh o momento para a proxima execucao
today DATE; -- Data do momento atual
BEGIN
moment = date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
today = moment::DATE;
inserted = 0;
FOR task_check_to_insert IN
SELECT tc.id,
--- dt.hour || ':' || dt.minute AS horario,
--- ns.notification_type_id,
--- ns.pre_notify_days, ns.pre_notify_hours, ns.pre_notify_minutes, tc.repeats_every,
-- Inicio de todas as notificacoes
--- tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') AS inicio_de_todas_as_notificacoes,
-- Fim de todas as notificacoes
--- tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) AS fim_de_todas_as_notificacoes,
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) AS momento_de_iniciar_notiicacao,
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) ) * interval '1 minute' ) AS momento_de_finalizar_notiicacao,
-- Minutos passados desde o inicio das notificacoes
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER AS minutos_passados_desde_o_inicio_das_notificacoes,
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- AS minutos_passados_desde_o_inicio_das_notificacoes_a_cada_5_min,
-- Notificar Agora
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
--- ( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- ) % greatest(1, ns.notify_again_every) = 0
--- AS notificar_agora,
-- Proxima notificacao em YYYY-MM-DD hh:mm:ss
-- Momento de iniciar a notificacao +
( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' )
) +
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) * interval '1 minute'
AS next_execution
-- Semanas desde que comecou
-- , ( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 week' ) ) AS semanas -- Está na semana de notificar (considerando os dias para comecar a notificar)
FROM task_checks tc
INNER JOIN weeks_days wd ON tc.id = wd.task_check_id
INNER JOIN days_times dt ON tc.id = dt.task_check_id
INNER JOIN notifications ns ON tc.id = ns.task_check_id
INNER JOIN parameters pm ON tc.periodicity_id = pm.id
WHERE tc.active AND
-- Periodicidade SEMANAL
pm.category_name = 'periodicidades' AND pm.key_name = 'semanal' AND
-- Inicio de todas as notificacoes eh menor que o momento atual
tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') <= moment AND -- Inicia antes de hoje ou hoje (considerando os dias, horas e minutos para comecar a notificar)
-- Fim de todas as notificacoes eh maior que o momento atual
( tc.ends_at ISNULL OR tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) >= moment ) AND -- Nao finaliza hoje (ou depois considerando dias horas e minutos para notificar)
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh menor ou igual que a hora atual? (ja iniciou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) <= moment AND
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh maior ou igual que a hora atual? (ainda nao terminou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) ) * interval '1 minute' ) >= moment AND
-- Notificar Agora? (Estah no momento de notificar a cada x minutos?)
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) % greatest(1, ns.notify_again_every) = 0 AND
-- Dias da semana em que ocorrera a verificacao da tarefa
( (wd.sunday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 0) OR -- Hoje eh domingo, pede cachimbo, e estah marcado para execucao aos domingos (considerando os dias para comecar a notificar)
(wd.monday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 1) OR -- idem segunda
(wd.tuesday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 2) OR -- idem terca
(wd.wednesday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 3) OR -- idem quarta
(wd.thursday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 4) OR -- idem quimta
(wd.friday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 5) OR -- idem sexta
(wd.saturday AND date_part('DOW', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') = 6) -- idem sabado
) AND
-- Dentro da periodicidade?
( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 week' ) ) % greatest(1,tc.repeats_every) = 0 -- Está na semana de notificar (considerando os dias para comecar a notificar)
LOOP
IF ( SELECT count(*) FROM execution_queue WHERE task_check_id = task_check_to_insert.id AND next_execution = task_check_to_insert.next_execution ) = 0 THEN
-- Nao existe na fila de execucao ainda entao INSERE
INSERT INTO execution_queue (task_check_id, next_execution) VALUES (task_check_to_insert.id, task_check_to_insert.next_execution);
inserted = inserted + 1;
END IF;
END LOOP;
RETURN inserted; -- Quantidades de linhas inseridas na tabela execution_queue
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_weekly() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_weekly_test(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_weekly_test() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[2]; -- Hora para o Teste
days_time_minute_to_test INTEGER[2]; -- Minuto para o Teste
task_check_id_test INTEGER[2]; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
moment TIMESTAMP; -- Momento atual + 5 ou 10 minutos que eh o momento para a proxima execucao (arredondado de 5 em 5 minutos)
inserteds INTEGER[2]; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
inserted INTEGER; -- Serah armazenado no array inserteds
BEGIN
PERFORM set_clock_now('2017-08-28T16:55:00'); -- Faz mock do relogio
start_time_test := clock_now();
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'semanal';
RAISE NOTICE 'place_id_test = %', place_id_test;
RAISE NOTICE 'periodicity_id_test = %', periodicity_id_test;
date_test := clock_now()::DATE;
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[1] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[1] := date_part('minute', moment)::INTEGER;
RAISE NOTICE 'date_test = %, days_time_hour_to_test = %, days_time_minute_to_test = %', date_test, days_time_hour_to_test, days_time_minute_to_test;
task_check_test :=
'{ "name": "Teste 1 - SEM ANTECEDECIA E SEM RENOTIFICACAO",
"description": "Teste de tarefa diaria 1.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"weeks_days": { "sunday": false, "monday": true, "tuesday": true, "wednesday": true, "thursday": true, "friday": true, "saturday": false },
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[1] := tc_id;
moment := date_trunc('minute', clock_now()) + interval '15 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[2] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[2] := date_part('minute', moment)::INTEGER;
task_check_test :=
'{ "name": "Teste 2 - COM ANTECEDECIA E COM RENOTIFICACAO",
"description": "Teste de tarefa diaria 2.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[2] || ', "minute": ' || days_time_minute_to_test[2] || ' } ],
"weeks_days": { "sunday": false, "monday": true, "tuesday": true, "wednesday": true, "thursday": true, "friday": true, "saturday": false },
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 10, "notify_again_every": 5 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[2] := tc_id;
-- RAISE NOTICE 'task_check_id_test = %', task_check_id_test;
--PERFORM set_clock_now('2017-08-28T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(1);
PERFORM set_clock_now('2017-08-28T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_weekly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 10 minutos antes...', 5;
PERFORM set_clock_now('2017-08-28T17:00:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_weekly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 5 minutos antes...', 5;
PERFORM set_clock_now('2017-08-28T17:05:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_weekly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir do momento da ultima notificacao...', 5;
PERFORM set_clock_now('2017-08-28T17:10:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_weekly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
PERFORM set_clock_now('2017-08-28T17:15:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_weekly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[1];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[2];
DELETE FROM task_checks WHERE id = task_check_id_test[1];
DELETE FROM task_checks WHERE id = task_check_id_test[2];
DELETE FROM places WHERE id = place_id_test;
RAISE NOTICE 'clock_now(): %', clock_now();
end_time_test := clock_now();
PERFORM set_clock_now(NULL); -- Desfaz mock do relogio
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'insert_into_execution_queue_weekly()'::VARCHAR(64) AS function_name,
(inserteds[1] = 1 AND inserteds[2] = 3) AS test_passed,
('Esperados: inserteds[1] = 1, inserteds[2] = 3' || E'\n' || 'Retornados: inserteds[1] = ' || inserteds[1] || ', inserteds[2] = ' || inserteds[2] )::TEXT AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_weekly_test() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_yearly(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_yearly() RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
task_check_to_insert RECORD; -- Usada no loop FOR para inserir na tabela execution_queue
inserted INTEGER; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
moment TIMESTAMP; -- Momento atual + 5 minutos que eh o momento para a proxima execucao
today DATE; -- Data do momento atual
BEGIN
moment = date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
today = moment::DATE;
inserted = 0;
FOR task_check_to_insert IN
SELECT tc.id,
--- dt.hour || ':' || dt.minute AS horario,
--- ns.notification_type_id,
--- ns.pre_notify_days, ns.pre_notify_hours, ns.pre_notify_minutes, tc.repeats_every,
-- Periodicidade value e name
--- pm.key_value AS periodicity_key_value, pm.key_name AS periodicity_key_name,
-- Inicio de todas as notificacoes
--- tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') AS inicio_de_todas_as_notificacoes,
-- Fim de todas as notificacoes
--- tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) AS fim_de_todas_as_notificacoes,
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) AS momento_de_iniciar_notiicacao,
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
--- today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) ) * interval '1 minute' ) AS momento_de_finalizar_notiicacao,
-- Minutos passados desde o inicio das notificacoes
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER AS minutos_passados_desde_o_inicio_das_notificacoes,
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- AS minutos_passados_desde_o_inicio_das_notificacoes_a_cada_5_min,
-- Notificar Agora
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
--- ( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
--- ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
--- (dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
--- ) % greatest(1, ns.notify_again_every) = 0
--- AS notificar_agora,
-- Dias do mes em que ocorrera a verificacao da tarefa
--- date_part('DAY', moment + (ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'),
-- Dentro da periodicidade?
--- ( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 year' ) ) AS anos_desde_a_primeira_notificacao, -- Está no dia de notificar (considerando os dias para comecar a notificar)
-- Proxima notificacao em YYYY-MM-DD hh:mm:ss
-- Momento de iniciar a notificacao +
( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' )
) +
-- Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) * interval '1 minute'
AS next_execution
FROM task_checks tc
INNER JOIN days_times dt ON tc.id = dt.task_check_id
INNER JOIN notifications ns ON tc.id = ns.task_check_id
INNER JOIN parameters pm ON tc.periodicity_id = pm.id
WHERE tc.active AND
-- Periodicidade ANUAL
pm.category_name = 'periodicidades' AND pm.key_name = 'anual' AND
-- Inicio de todas as notificacoes eh menor que o momento atual
tc.starts_at + (SELECT min(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) - ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute') <= moment AND -- Inicia antes de hoje ou hoje (considerando os dias, horas e minutos para comecar a notificar)
-- Fim de todas as notificacoes eh maior que o momento atual
( tc.ends_at ISNULL OR tc.ends_at + (SELECT max(hour*60+minute) * interval '1 minute' FROM days_times WHERE task_check_id = tc.id) >= moment ) AND -- Nao finaliza hoje (ou depois considerando dias horas e minutos para notificar)
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh menor ou igual que a hora atual? (ja iniciou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) <= moment AND
-- Momento de finalizar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa - dias e horas e minutos antes para comecar a notificar
-- eh maior ou igual que a hora atual? (ainda nao terminou o periodo de notificacao)
today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) ) * interval '1 minute' ) >= moment AND
-- Notificar Agora? (Estah no momento de notificar a cada x minutos?)
--(Minutos passados desde o inicio das notificacoes arredondado a cada 5 minutos) % (repetir a cada x minutos) = 0
( ( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER -
( extract('epoch' FROM ( moment - ( today + ( ( ( CASE WHEN extract('hour' FROM moment)*60 + extract('minute' FROM moment) > dt.hour*60 + dt.minute THEN 1*24*60 ELSE 0 END ) +
(dt.hour*60 + dt.minute) - (ns.pre_notify_days*24*60 + ns.pre_notify_hours*60 + ns.pre_notify_minutes) ) * interval '1 minute' ) ) ) ) / 60)::INTEGER % 5
) % greatest(1, ns.notify_again_every) = 0 AND
-- Dentro da periodicidade?
( SELECT count(*) - 1 FROM generate_series(tc.starts_at, moment + ((ns.pre_notify_days * 24 * 60 + ns.pre_notify_hours * 60 + ns.pre_notify_minutes) * interval '1 minute'), '1 year' ) ) % greatest(1,tc.repeats_every) = 0 -- Está no dia de notificar (considerando os dias para comecar a notificar)
LOOP
IF ( SELECT count(*) FROM execution_queue WHERE task_check_id = task_check_to_insert.id AND next_execution = task_check_to_insert.next_execution ) = 0 THEN
-- Nao existe na fila de execucao ainda entao INSERE
INSERT INTO execution_queue (task_check_id, next_execution) VALUES (task_check_to_insert.id, task_check_to_insert.next_execution);
inserted = inserted + 1;
END IF;
END LOOP;
RETURN inserted; -- Quantidades de linhas inseridas na tabela execution_queue
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_yearly() OWNER TO postgres;
--
-- Name: insert_into_execution_queue_yearly_test(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_into_execution_queue_yearly_test() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[2]; -- Hora para o Teste
days_time_minute_to_test INTEGER[2]; -- Minuto para o Teste
task_check_id_test INTEGER[2]; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
moment TIMESTAMP; -- Momento atual + 5 ou 10 minutos que eh o momento para a proxima execucao (arredondado de 5 em 5 minutos)
inserteds INTEGER[2]; -- Quantidade de linhas inseridas na tabela execution_queue e que serah retornada pela funcao
inserted INTEGER; -- Serah armazenado no array inserteds
BEGIN
PERFORM set_clock_now('2017-08-28T16:55:00'); -- Faz mock do relogio
start_time_test := clock_now();
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'anual';
RAISE NOTICE 'place_id_test = %', place_id_test;
RAISE NOTICE 'periodicity_id_test = %', periodicity_id_test;
date_test := clock_now()::DATE;
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[1] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[1] := date_part('minute', moment)::INTEGER;
RAISE NOTICE 'date_test = %, days_time_hour_to_test = %, days_time_minute_to_test = %', date_test, days_time_hour_to_test, days_time_minute_to_test;
task_check_test :=
'{ "name": "Teste 1 - SEM ANTECEDECIA E SEM RENOTIFICACAO E NO MESMO ANO",
"description": "Teste de tarefa anual 1.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[1] := tc_id;
moment := date_trunc('minute', clock_now()) + interval '15 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
days_time_hour_to_test[2] := date_part('hour', moment)::INTEGER;
days_time_minute_to_test[2] := date_part('minute', moment)::INTEGER;
task_check_test :=
'{ "name": "Teste 2 - COM ANTECEDECIA E COM RENOTIFICACAO E NO MESMO ANO",
"description": "Teste de tarefa anual 2.",
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[2] || ', "minute": ' || days_time_minute_to_test[2] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 10, "notify_again_every": 5 } ]
}';
RAISE NOTICE 'task_check_test = %', task_check_test;
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test[2] := tc_id;
-- RAISE NOTICE 'task_check_id_test = %', task_check_id_test;
--PERFORM set_clock_now('2017-08-28T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(1);
PERFORM set_clock_now('2017-08-28T16:55:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_yearly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 10 minutos antes...', 5;
PERFORM set_clock_now('2017-08-28T17:00:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_yearly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir de 5 minutos antes...', 5;
PERFORM set_clock_now('2017-08-28T17:05:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_yearly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
RAISE NOTICE 'Aguardando % minutos a partir do momento da ultima notificacao...', 5;
PERFORM set_clock_now('2017-08-28T17:10:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_yearly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
PERFORM set_clock_now('2017-08-28T17:15:01'); -- Faz mock do relogio ou PERFORM pg_sleep(5 * 60);
PERFORM insert_into_execution_queue_yearly();
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[1];
inserteds[1] := inserted;
SELECT INTO inserted COUNT(id) FROM execution_queue WHERE task_check_id = task_check_id_test[2];
inserteds[2] := inserted;
RAISE NOTICE 'Inseridos na fila com o id da tarefa 1: %', inserteds[1];
RAISE NOTICE 'Inseridos na fila com o id da tarefa 2: %', inserteds[2];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[1];
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test[2];
DELETE FROM task_checks WHERE id = task_check_id_test[1];
DELETE FROM task_checks WHERE id = task_check_id_test[2];
DELETE FROM places WHERE id = place_id_test;
RAISE NOTICE 'clock_now(): %', clock_now();
end_time_test := clock_now();
PERFORM set_clock_now(NULL); -- Desfaz mock do relogio
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'insert_into_execution_queue_yearly()'::VARCHAR(64) AS function_name,
(inserteds[1] = 1 AND inserteds[2] = 3) AS test_passed,
('Esperados: inserteds[1] = 1, inserteds[2] = 3' || E'\n' || 'Retornados: inserteds[1] = ' || inserteds[1] || ', inserteds[2] = ' || inserteds[2] )::TEXT AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION public.insert_into_execution_queue_yearly_test() OWNER TO postgres;
--
-- Name: insert_taskcheckjson(json); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_taskcheckjson(in_json_text json) RETURNS integer
LANGUAGE plpgsql
AS $$
-- Insere na tabela task_check e em suas tabelas relacionadas a partir de uma string JSON.
-- Exemplo:
-- SELECT insert_taskcheckjson(
-- '{ "name": "Conferir sabonete líquido do banheiro feminino",
-- "description": "Conferir se foi completado até a tampa o sabone líquido do banheiro feminino.",
-- "place_id": 1,
-- "user_checker_id": 2,
-- "periodicity_id": 3,
-- "starts_at": "2017-05-24",
-- "ends_at": null,
-- "repeats_every": 1,
-- "updated_by_user_id": 1,
-- "weeks_days": { "sunday": false, "monday": true, "tuesday": true, "wednesday": true, "thursday": true, "friday": true, "saturday": false },
-- "days_times": [ { "hour": 7, "minute": 40 }, {"hour": 13, "minute": 30 } ],
-- "notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 1, "pre_notify_minutes": 30, "notify_again_every": 10 } ]
-- }' );
DECLARE
returning_id INTEGER; -- id da tabela task_cheks retornado apos o INSERT
returning_ubui INTEGER; -- updated_by_user_id da verificacao da tabela task_cheks retornado apos o INSERT
weeks_days_text JSON; -- dias da semana para a tarefa (caso estejam presentes no parametro in_json_text)
months_days_text JSON; -- dias do mes para a verificacao da tarefa (caso estejam presentes no parametro in_json_text)
days_times_text JSON; -- horas do dia para verificacao da tarefa.
notifications_text JSON; -- notificacoes para a tarefa.
periodicity_id_integer INTEGER; -- id da parameters (periodicidade)
BEGIN
-- Verifica se foi passado um valor NULL como parametro
IF in_json_text ISNULL THEN
RAISE EXCEPTION 'Funcao insert_taskcheckjson(in_json_text JSON) nao aceita valor NULL como parametro.' ;
END IF;
-- coleta as subpartes das tarefas nas variaveis
weeks_days_text := in_json_text::json->'weeks_days';
months_days_text := in_json_text::json->'months_days';
days_times_text := in_json_text::json->'days_times';
notifications_text := in_json_text::json->'notifications';
periodicity_id_integer := ( in_json_text::json->'periodicity_id' )::TEXT::INTEGER;
-- Validacoes necessarias
IF periodicity_id_integer IN ( SELECT id FROM parameters WHERE category_name = 'periodicidades' AND key_name NOT IN ('semanal', 'mensal') ) THEN
-- Nao eh semanal e nem mensal
IF (NOT (weeks_days_text ISNULL OR months_days_text ISNULL)) THEN
-- Existencia de valor para "weeks_days" ou "months_days" nao permitidas para tuplas nao semanais e nao mensais
RAISE EXCEPTION 'Dias da semana (weeks_days) e dias do mes nao permitidos para checagens de tarefas (task_checks) nao semanais e nao mensais' ;
END IF;
ELSE
IF (weeks_days_text ISNULL) AND (months_days_text ISNULL) THEN
-- Existencia de apenas 1 valor para "weeks_days" ou apenas 1 "months_days"
RAISE EXCEPTION 'Dias da semana (weeks_days) ou dias do mes necessarios' ;
ELSE
IF (weeks_days_text ISNULL) THEN
IF (NOT (json_typeof(months_days_text)::TEXT = 'array')) OR (json_array_length(months_days_text)::INTEGER = 0) THEN
-- Existencia de apenas 1 valor para "months_days"
RAISE EXCEPTION 'Dias do mes (months_days) deve ser um array JSON com 1 ou mais elementos necessariamente.' ;
END IF;
ELSE
IF (json_typeof(weeks_days_text)::TEXT = 'array') THEN
-- Existencia de apenas 1 valor para "week_days"
RAISE EXCEPTION 'Eh permitido apenas uma tupla para dias da semana (weeks_days) e nao um array de tuplas.' ;
END IF;
END IF;
END IF;
END IF;
IF (days_times_text ISNULL) OR
(NOT (json_typeof(days_times_text)::TEXT = 'array')) OR
(json_array_length(days_times_text)::INTEGER = 0) THEN
-- Existencia de 1 ou mais valores para days_times (array)
RAISE EXCEPTION 'Horas do dia (days_times) deve ser um array JSON com 1 ou mais elementos necessariamente.' ;
END IF;
IF (notifications_text ISNULL) OR
(NOT (json_typeof(notifications_text)::TEXT = 'array')) OR
(json_array_length(notifications_text)::INTEGER = 0) THEN
-- Existencia de 1 ou mais valores para notifications (array)
RAISE EXCEPTION 'Notificacoes (notidications) deve ser um array JSON com 1 ou mais elementos necessariamente.' ;
END IF;
-- Insere em task_cheks
INSERT INTO task_checks
(name, description, place_id, user_checker_id, periodicity_id, starts_at, ends_at, repeats_every, updated_by_user_id)
SELECT * from json_to_record(in_json_text) AS task_checks_columns(name TEXT, description TEXT, place_id INT, user_checker_id INT, periodicity_id INT, starts_at TIMESTAMP, ends_at TIMESTAMP, repeats_every INT, updated_by_user_id INT)
RETURNING id, updated_by_user_id
INTO returning_id, returning_ubui;
IF NOT (weeks_days_text) ISNULL THEN
-- Insere na tabela weeks_days (dias na semana)
INSERT INTO weeks_days (task_check_id, sunday, monday, tuesday, wednesday, thursday, friday, saturday, updated_by_user_id)
VALUES ( returning_id, (weeks_days_text->'sunday')::TEXT::BOOLEAN, (weeks_days_text->'monday')::TEXT::BOOLEAN,
(weeks_days_text->'tuesday')::TEXT::BOOLEAN, (weeks_days_text->'wednesday')::TEXT::BOOLEAN,
(weeks_days_text->'thursday')::TEXT::BOOLEAN, (weeks_days_text->'friday')::TEXT::BOOLEAN,
(weeks_days_text->'saturday')::TEXT::BOOLEAN,
returning_ubui );
END IF;
IF NOT (months_days_text ISNULL) THEN
-- Insere na tabela months_days (dias no mes)
FOR i IN 0..((json_array_length(months_days_text)::INTEGER)-1) LOOP
INSERT INTO months_days (task_check_id, month_day, updated_by_user_id)
VALUES ( returning_id, ((months_days_text->i)->'month_day')::TEXT::INTEGER, returning_ubui );
END LOOP;
END IF;
IF NOT (days_times_text ISNULL) THEN
-- Insere na tabela days_times (horas no dia)
FOR i IN 0..((json_array_length(days_times_text)::INTEGER)-1) LOOP
INSERT INTO days_times (task_check_id, hour, minute, updated_by_user_id)
VALUES ( returning_id, ((days_times_text->i)->'hour')::TEXT::INTEGER, ((days_times_text->i)->'minute')::TEXT::INTEGER,
returning_ubui );
END LOOP;
END IF;
IF NOT (days_times_text ISNULL) THEN
-- Insere na tabela notifications (notificacoes)
FOR i IN 0..((json_array_length(notifications_text)::INTEGER)-1) LOOP
INSERT INTO notifications (task_check_id, notification_type_id, pre_notify_days, pre_notify_hours, pre_notify_minutes,
notify_again_every, updated_by_user_id)
VALUES ( returning_id, ((notifications_text->i)->'notification_type_id')::TEXT::INTEGER,
((notifications_text->i)->'pre_notify_days')::TEXT::INTEGER,
((notifications_text->i)->'pre_notify_hours')::TEXT::INTEGER,
((notifications_text->i)->'pre_notify_minutes')::TEXT::INTEGER,
((notifications_text->i)->'notify_again_every')::TEXT::INTEGER,
returning_ubui );
END LOOP;
END IF;
RETURN returning_id;
END;
$$;
ALTER FUNCTION public.insert_taskcheckjson(in_json_text json) OWNER TO postgres;
--
-- Name: insert_taskcheckjson(text); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION insert_taskcheckjson(in_json_text text) RETURNS integer
LANGUAGE plpgsql
AS $$
DECLARE
returning_id INTEGER;
BEGIN
returning_id := ( SELECT insert_taskcheckjson(in_json_text::JSON) );
RETURN returning_id;
END;
$$;
ALTER FUNCTION public.insert_taskcheckjson(in_json_text text) OWNER TO postgres;
--
-- Name: log_it(); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION log_it() RETURNS trigger
LANGUAGE plpgsql
AS $$
DECLARE
old_json TEXT; -- Valor antigo da tupla em formato JSON como TEXT
current_row RECORD; -- Valor a ser considerado para obter o JSON, a primary_key e o updated_by_user_id (NEW para INSERT, OLD para UPDATE e DELETE)
flags RECORD; -- Flags para indicar o que serah ou nao auditado (INSERT, UPDATE, DELETE)
primary_key TEXT; -- Valor da chave primaria (normalmente ID ou outro valor para algumas tabelas especificas)
BEGIN
IF TG_OP = 'INSERT' THEN
old_json := NULL; -- Nao armazena valores anteriores quando eh feito um INSERT
ELSE
old_json := to_json(OLD)::TEXT; -- Valores anteriores em formato JSON como TEXT das colunas da tupla auditada
END IF;
IF TG_OP = 'INSERT' OR TG_OP = 'UPDATE' THEN
current_row := NEW; -- Considera os valores novos das colunas da tupla auditada para obter posteriormente o updated_by_user_id
ELSE
current_row := OLD; -- Considera os valores antigos das colunas da tupla auditada para obter posteriormente o updated_by_user_id
END IF;
SELECT INTO flags insert_auditing, update_auditing, delete_auditing FROM audition_tables WHERE table_name = TG_TABLE_NAME::TEXT;
IF (TG_OP = 'INSERT' AND flags.insert_auditing) OR
(TG_OP = 'UPDATE' AND flags.update_auditing) OR
(TG_OP = 'DELETE' AND (flags.delete_auditing ISNULL OR flags.delete_auditing)) THEN
-- Avaliacao do parametro de chave primaria para tabelas que nao usam a coluna ID
IF TG_TABLE_NAME = 'audition_tables' THEN
primary_key := current_row.table_name; -- table_name eh chave primaria da tabela audition_tables
-- ELSIF TG_TABLE_NAME = 'outra_tabela_qualquer_que_nao_use_id_como_chave_primaria' THEN
-- primary_key := expressao_que_represente_a_chave_primaria_ta_tabela;
ELSE
primary_key := current_row.id::TEXT; -- considera o valor da coluna id para armazenamento na primary_key da auditoria
END IF;
IF (SELECT count(*) > 0 AS present FROM information_schema.columns WHERE table_name = TG_TABLE_NAME::TEXT AND column_name = 'updated_by_user_id' ) THEN -- Considera a existencia da coluna updated_by_user_id na tabela auditada
IF current_row.updated_by_user_id ISNULL THEN
-- Coluna updated_by_user_id estah com valor NULL
INSERT INTO auditions
( table_name, primary_key, operation, old_values )
VALUES ( TG_TABLE_NAME::TEXT, primary_key, substring(TG_OP::TEXT from 1 for 1), old_json );
ELSE
-- Coluna updated_by_user_id nao existe na tabela auditada
INSERT INTO auditions
( table_name, primary_key, operation, old_values, updated_by_user_id )
VALUES ( TG_TABLE_NAME::TEXT, primary_key, substring(TG_OP::TEXT from 1 for 1), old_json, current_row.updated_by_user_id );
END IF;
ELSE
-- Sem a coluna updated_by_user_id
INSERT INTO auditions
( table_name, primary_key, operation, old_values )
VALUES ( TG_TABLE_NAME::TEXT, primary_key, substring(TG_OP::TEXT from 1 for 1), old_json );
END IF;
END IF;
RETURN current_row;
END;
$$;
ALTER FUNCTION public.log_it() OWNER TO postgres;
--
-- Name: next_executions_as_json(integer); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION next_executions_as_json(task_check_user_checker_id integer) RETURNS json
LANGUAGE plpgsql
AS $$
DECLARE
next_executions_json JSON;
BEGIN
-- Funcoes row_to_json usada para converter uma tupla inteira para JSON,
-- array_agg para fazer agregacao de varias tuplas numa soh e
-- array_to_json que converte o resultado de tudo isso para JSON
-- sao as que fazem o milagre
SELECT INTO next_executions_json array_to_json(array_agg(row_to_json(row, false)))
FROM (
SELECT tc.id, tc.name, tc.description, pl.name AS place_name, tc.starts_at, pm.key_name, tc.repeats_every,
CASE
WHEN pm.key_value = '3' THEN -- Semanal
( SELECT array_to_json(array_agg(row_to_json(row_wd, false)))
FROM ( SELECT wd.sunday, wd.monday, wd.tuesday, wd.wednesday, wd.thursday, wd.friday, wd.saturday
FROM weeks_days wd WHERE wd.task_check_id = tc.id
) row_wd
)
WHEN pm.key_value = '4' THEN -- Mensal
( SELECT array_to_json(array_agg(row_to_json(row_md, false)))
FROM ( SELECT md.month_day FROM months_days md WHERE md.task_check_id = tc.id ORDER BY md.month_day ) row_md
)
ELSE -- Outros
'[]'::JSON
END AS period,
( SELECT array_to_json(array_agg(row_to_json(row_dt, true))) FROM ( SELECT dt.hour, dt.minute FROM days_times dt WHERE dt.task_check_id = tc.id ORDER BY dt.hour, dt.minute ) row_dt ) AS days_times,
query_task_check_next_execution(tc.id) AS next_execution
FROM task_checks tc
INNER JOIN places pl ON tc.place_id = pl.id
INNER JOIN parameters pm ON tc.periodicity_id = pm.id
WHERE tc.user_checker_id = task_check_user_checker_id AND tc.active AND query_task_check_next_execution(tc.id) IS NOT NULL
ORDER BY next_execution
) row;
RETURN next_executions_json;
END
$$;
ALTER FUNCTION public.next_executions_as_json(task_check_user_checker_id integer) OWNER TO postgres;
--
-- Name: query_task_check_next_execution(integer); Type: FUNCTION; Schema: public; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution(tc_id integer) RETURNS timestamp without time zone
LANGUAGE plpgsql
AS $$
DECLARE
task_check_to_query task_checks%ROWTYPE; -- Usada no loop FOR para inserir na tabela execution_queue
periodicity INTEGER; -- Periodicidade: 1=Unica Vez, 2=Diaria, 3=Semanal, 4=Mensal, 5=Anual
moment TIMESTAMP; -- Momento atual + 5 minutos que eh o momento para a proxima execucao
today DATE; -- Data do momento atual
next_date DATE; -- Data da proxima vez da checagem da tarefa
next_time TIMESTAMP; -- Data e Hora da proxima vez da checagem da tarefa
min_time INTEGER; -- Menor hora + minuto do dia para checagem da tarefa
max_time INTEGER; -- Maior hora + minuto do dia para checagem da tarefa
starts_at_first_week_day DATE; -- Domingo da semana de starts_at
next_date_first_week_day DATE; -- Domingo da semana da proxima verificacao de tarefa
current_first_week_day DATE; -- Primeiro dia da semana atual
weeks_since_first INTEGER; -- Semanas desde a primeira
weeks_to_next_date INTEGER; -- Contagem de semanas ate a proxima checagem de tarefa
task_check_weeks_days TEXT; -- Dias da semana nos quais a tarefa deve ser verificada
week_day INTEGER; -- Dia da semana (usada para indicar o dia da semana que deverah ser a proxima verificacao da tarefa)
starts_at_first_month_day DATE; -- Primeiro dia do mes em que comecou
current_first_month_day DATE; -- Primeiro dia do mes atual
months_since_first INTEGER; -- Meses desde o primeiro
months_to_next_date INTEGER; -- Contagem de meses ate a proxima checagem de tarefa
next_date_first_month_day DATE; -- Primeiro dia do mes da proxima execucao
task_check_month_day INTEGER; -- Dia da proxima checagem de tarefa
years_since_first INTEGER; -- Anos desde que comecou
years_to_next_date INTEGER; -- Contagem de anos ate a proxima checagem de tarefa
BEGIN
moment := date_trunc('minute', clock_now()) + interval '5 minutes' - ( ( extract('minute' FROM date_trunc('minute', clock_now()) + interval '5 minutes')::INTEGER % 5 ) * interval '1 minute' );
today := moment::DATE;
next_time := NULL;
SELECT INTO task_check_to_query
tc.*
FROM task_checks tc
WHERE tc.id = tc_id;
SELECT INTO periodicity
p.key_value::INTEGER AS periodicity_key
FROM parameters p
WHERE p.id = task_check_to_query.periodicity_id;
-- EM TODOS OS CASOS ABAIXO LEVA EM CONSIDERACAO repeats_every (repetir a cada dia, semana, mes ou ano)
IF task_check_to_query.ends_at < today THEN
-- Ja encerrou, retorna NULL
RETURN NULL;
END IF;
CASE periodicity
WHEN 1 THEN
-- Checagem da tarefa uma unica vez.
IF task_check_to_query.starts_at < today THEN
-- Ja encerrou, retorna NULL
RETURN NULL;
END IF;
next_date := task_check_to_query.starts_at; -- Proxima checagem eh as mesma data de inicio da checagem da tarefa
WHEN 2 THEN
-- Checagem da tarefa for diaria.
next_date := task_check_to_query.starts_at +
(
task_check_to_query.repeats_every *
ceil( (clock_now()::DATE - task_check_to_query.starts_at)::FLOAT / task_check_to_query.repeats_every )::INTEGER
);
WHEN 3 THEN
-- Checagem da tarefa for Semanal, considera o se o dia da semana de next_date estah nos dias da semana marcados para fazer a checagem da tarefa.
-- Se nao estiver, considera o proximo dia da semana subsequente a next_date, levando em consideracao que poderah ser na proxima semana.
starts_at_first_week_day := task_check_to_query.starts_at -
extract('dow' FROM task_check_to_query.starts_at)::INTEGER; -- Primeiro dia da semana em que comecou
current_first_week_day := clock_now()::DATE - extract('dow' FROM clock_now())::INTEGER; -- Primeiro dia da semana atual
weeks_since_first := (current_first_week_day - starts_at_first_week_day)::FLOAT / 7; -- Semanas desde a primeira
weeks_to_next_date := ceil( ( (current_first_week_day - starts_at_first_week_day)::FLOAT /
(7 * task_check_to_query.repeats_every)::FLOAT
)
)::INTEGER * task_check_to_query.repeats_every; -- Contagem de semanas ate a proxima checagem de tarefa
next_date_first_week_day := starts_at_first_week_day + weeks_to_next_date * 7; -- Primeiro dia da semana da proxima execucao
-- Dias da semana nos quais a tarefa deve ser verificada (1 para SIM e 0 para NAO).
SELECT INTO task_check_weeks_days
'' || sunday::INTEGER || monday::INTEGER || tuesday::INTEGER || wednesday::INTEGER || thursday::INTEGER || friday::INTEGER || saturday::INTEGER
FROM weeks_days
WHERE task_check_id = tc_id;
week_day := extract('dow' FROM clock_now()) + 1;
WHILE week_day < 7 LOOP
IF substring(task_check_weeks_days FROM week_day FOR 1) = '1' THEN
EXIT;
END IF;
week_day := week_day + 1;
END LOOP;
IF substring(task_check_weeks_days FROM week_day FOR 1) != '1' THEN -- Procurou ateh o sabado e nao encontrou nada
next_date_first_week_day := next_date_first_week_day + task_check_to_query.repeats_every * 7; -- Primeiro dia da semana da proxima execucao ajustado para mais um periodo
week_day := 1; -- Volta o dia para o domingo (primeiro dia da semana semana)
-- Passou do sabado entao comeca do domingo ateh encontrar o proximo dia
WHILE week_day < extract('dow' FROM clock_now()) + 1 LOOP
IF substring(task_check_weeks_days FROM week_day FOR 1) = '1' THEN
EXIT;
END IF;
week_day := week_day + 1;
END LOOP;
END IF;
IF substring(task_check_weeks_days FROM week_day FOR 1) != '1' THEN -- Procurou ateh o sabado e nao encontrou nada entao retornarah NULL
RETURN NULL;
END IF;
next_date := next_date_first_week_day + week_day - 1;
WHEN 4 THEN
-- Se a checagem da tarefa for Mensal, considera o se o dia do mes de next_date estah nos dias do mes marcados para fazer a checagem da tarefa.
-- Se nao estiver, considera o proximo dia do mes subsequente a next_date, levando em consideracao que poderah ser no proximo mes.
starts_at_first_month_day := task_check_to_query.starts_at -
extract('day' FROM task_check_to_query.starts_at)::INTEGER + 1; -- Primeiro dia do mes em que comecou
current_first_month_day := clock_now()::DATE - extract('day' FROM clock_now())::INTEGER + 1; -- Primeiro dia do mes atual
months_since_first := extract('years' FROM age(current_first_month_day, starts_at_first_month_day))::INTEGER * 12 +
extract('months' FROM age(current_first_month_day, starts_at_first_month_day))::INTEGER; -- Meses desde o primeiro
months_to_next_date := ceil( ( months_since_first::FLOAT /
(task_check_to_query.repeats_every)::FLOAT
)
)::INTEGER * task_check_to_query.repeats_every; -- Contagem de meses ate a proxima checagem de tarefa
next_date_first_month_day := starts_at_first_month_day + ( months_to_next_date * interval '1 month' ); -- Primeiro dia do mes da proxima execucao
-- Dia do mes no qual a tarefa deve ser verificada
SELECT INTO task_check_month_day month_day
FROM months_days
WHERE task_check_id = tc_id AND
month_day >= extract('day' FROM CASE WHEN next_date_first_month_day < today THEN today ELSE next_date_first_month_day END)::INTEGER
ORDER BY 1
LIMIT 1;
IF task_check_month_day ISNULL THEN
SELECT INTO task_check_month_day month_day
FROM months_days
WHERE task_check_id = tc_id
ORDER BY 1
LIMIT 1;
next_date_first_month_day := next_date_first_month_day + 1 * interval '1 month';
END IF;
next_date := next_date_first_month_day + task_check_month_day - 1;
WHEN 5 THEN
-- Se a checagem da tarefa for Anual, considera o se o dia e o mes do ano de next_date eh igual ao dia e mes do ano para fazer a checagem da tarefa.
-- Se nao estiver, considera o proximo dia e mes subsequente a next_date, levando em consideracao que poderah ser no proximo ano.
IF task_check_to_query.starts_at > clock_now()::DATE THEN
next_date := task_check_to_query.starts_at;
ELSE
years_since_first := extract('years' FROM age(clock_now()::DATE, task_check_to_query.starts_at))::INTEGER; -- Anos desde que comecou
years_to_next_date := ceil( ( years_since_first::FLOAT /
(task_check_to_query.repeats_every)::FLOAT
)
)::INTEGER * task_check_to_query.repeats_every + 1; -- Contagem de anos ate a proxima checagem de tarefa
next_date := task_check_to_query.starts_at + years_to_next_date * interval '1 year';
END IF;
RAISE NOTICE '------------------------------- task_check_to_query.starts_at = % years_since_first = % years_to_next_date = % next_date = %',
task_check_to_query.starts_at, years_since_first, years_to_next_date, next_date;
END CASE;
-- Seleciona a hora da proxima execucao
-- Momento de iniciar a notificacao: Dia atual + Se(passou da hora? 1 dia, 0 dia) + hora e minuto da verificacao da tarefa
-- Menor e maior hora e minutos do dia para checagem da tarefa
SELECT INTO min_time, max_time min(dt.hour * 60 + dt.minute) AS min_time, max(dt.hour * 60 + dt.minute) AS max_time
FROM days_times dt
WHERE dt.task_check_id = tc_id;
IF next_date = today THEN
-- O dia da proxima checagem de tarefa eh hoje
IF moment > today + min_time * (interval '1 minute') THEN
-- Ja passou da menor hora + minuto do dia
IF moment > today + max_time * (interval '1 minute') THEN
-- Ja passou da maior hora + minuto do dia entao considera o proximo dia + a menor (hora + minuto)
next_time := next_date +
task_check_to_query.repeats_every *
( CASE periodicity
WHEN 1 THEN -- Unica vez
NULL
WHEN 2 THEN -- Diario
1 * (interval '1 day')
WHEN 3 THEN -- Semanal
1 * (interval '7 day')
WHEN 4 THEN -- Mensal
1 * interval '1 month'
WHEN 5 THEN -- Anual
1 * interval '1 year'
END
) +
min_time * (interval '1 minute');
ELSE
-- Nao passou da maior hora + minuto do dia entao considera o a menor (hora + minuto)
next_time := next_date + max_time * interval '1 minute';
END IF;
ELSE
next_time := next_date + min_time * interval '1 minute';
END IF;
ELSE
next_time := next_date + min_time * interval '1 minute';
END IF;
RETURN next_time; -- Data e hora da proxima vez da checagem de tarefa
END
$$;
ALTER FUNCTION public.query_task_check_next_execution(tc_id integer) OWNER TO postgres;
SET search_path = tests, pg_catalog;
--
-- Name: next_executions_as_json_test_001(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION next_executions_as_json_test_001() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
start_time_test TIMESTAMP;
end_time_test TIMESTAMP;
returned BOOLEAN;
BEGIN
start_time_test := clock_now();
returned := (SELECT (COUNT(*) > 0) AS elements FROM json_array_elements(next_executions_as_json(2)));
end_time_test := clock_now();
--------------------- Retorna os resultados dos testes ---------------------
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'next_executions_as_json(checker_user_id BOOLEAN)'::VARCHAR(64) AS function_name,
(returned)
AS test_passed,
( E'Teste 001\n'||
E'SELECT COUNT(*) > 0 from json_array_elements(next_executions_as_json(2))\n' ||
'Esperados: true' || E'\n' ||
'Retornados: ' || coalesce(returned || '', '<NULL>' ))::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.next_executions_as_json_test_001() OWNER TO postgres;
--
-- Name: query_task_check_next_execution_test_001(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution_test_001() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
start_date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[1]; -- Hora para o Teste
days_time_minute_to_test INTEGER[1]; -- Minuto para o Teste
task_check_id_test INTEGER; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
moment_to_test TEXT; -- Momento em que eh ajustado o mock do relogio para executar o teste (simula o momento atual)
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
task_check_name TEXT; -- Nome da checagem de tarefa testada
task_check_description TEXT; -- Descricao da checagem de tarefa testada
next_execution_expected TIMESTAMP; -- Momentos esperados das proximas execucoes
next_execution TIMESTAMP; -- Momentos das proximas execucoes
BEGIN
days_time_hour_to_test := array[ NULL, NULL, NULL ];
days_time_minute_to_test := array[ NULL, NULL, NULL ];
-- Local que serah usado para todos os testes
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
BEGIN
--------------------------- Teste 1 - Unica vez e jah passou da data da checagem ---------------------------
PERFORM tests.set_clock_now('2018-01-02T09:52:00'); -- Faz mock do relogio
start_time_test := clock_now();
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'unica_vez';
start_date_test := clock_now()::DATE - interval '1 days';
task_check_name = '"Teste 1 - Unica vez e jah passou da data da checagem"';
task_check_description = '"Retornarah NULL para a proxima checagem"';
days_time_hour_to_test[1] := 10;
days_time_minute_to_test[1] := 0;
next_execution_expected := NULL;
task_check_test :=
'{ "name": ' || task_check_name || ',
"description": ' || task_check_description || ',
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || start_date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test := tc_id;
PERFORM tests.set_clock_now('2018-01-04T09:52:00'); -- Faz mock do relogio para passar da data de checagem e retornar NULL
-- Pega a proxima execucao e guarda na next_execution
next_execution = query_task_check_next_execution(task_check_id_test);
END;
BEGIN
---------------------- Exclui tuplas criadas para testes -----------------------
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test;
DELETE FROM task_checks WHERE id = task_check_id_test;
DELETE FROM places WHERE id = place_id_test;
END;
end_time_test := clock_now();
PERFORM tests.set_clock_now(NULL); -- Desfaz mock do relogio
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'query_task_check_next_execution()'::VARCHAR(64) AS function_name,
(coalesce(date_trunc('second',next_execution) || '', '<NULL>') = coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>'))
AS test_passed,
( task_check_name || E'\n' || task_check_description || E'\n' ||
'Esperado: next_execution_expected = ' || coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>') || E'\n' ||
'Retornado: next_execution = ' || coalesce(date_trunc('second',next_execution) || '', '<NULL>') )::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.query_task_check_next_execution_test_001() OWNER TO postgres;
--
-- Name: query_task_check_next_execution_test_002(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution_test_002() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
start_date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[]; -- Hora para o Teste
days_time_minute_to_test INTEGER[]; -- Minuto para o Teste
task_check_id_test INTEGER; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
moment_to_test TEXT; -- Momento em que eh ajustado o mock do relogio para executar o teste (simula o momento atual)
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
task_check_name TEXT; -- Nome da checagem de tarefa testada
task_check_description TEXT; -- Descricao da checagem de tarefa testada
next_execution_expected TIMESTAMP; -- Momentos esperados das proximas execucoes
next_execution TIMESTAMP; -- Momentos das proximas execucoes
BEGIN
days_time_hour_to_test := array[ NULL, NULL, NULL ];
days_time_minute_to_test := array[ NULL, NULL, NULL ];
-- Local que serah usado para todos os testes
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
BEGIN
--------------------------- Teste 2 - Diaria e comeca hoje as 10:00:00 ---------------------------
PERFORM tests.set_clock_now('2018-01-13T09:37:00'); -- Faz mock do relogio
start_time_test := clock_now();
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'diario';
start_date_test := clock_now()::DATE;
task_check_name = '"Teste 2 - Diaria e comeca hoje as 10:00:00"';
task_check_description = '"Retornarah 2018-01-13T10:00:00 para a proxima checagem"';
days_time_hour_to_test[1] := 10;
days_time_minute_to_test[1] := 0;
next_execution_expected := clock_now()::DATE + interval '10 hours';
task_check_test :=
'{ "name": ' || task_check_name || ',
"description": ' || task_check_description || ',
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || start_date_test || '",
"ends_at": null,
"repeats_every": 1,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test := tc_id;
-- Pega a proxima execucao e guarda na next_execution[1]
next_execution = query_task_check_next_execution(task_check_id_test);
END;
BEGIN
---------------------- Exclui tuplas criadas para testes -----------------------
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test;
DELETE FROM task_checks WHERE id = task_check_id_test;
DELETE FROM places WHERE id = place_id_test;
END;
end_time_test := clock_now();
PERFORM tests.set_clock_now(NULL); -- Desfaz mock do relogio
--------------------- Retorna os resultados dos testes ---------------------
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'query_task_check_next_execution()'::VARCHAR(64) AS function_name,
(coalesce(date_trunc('second',next_execution) || '', '<NULL>') = coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>'))
AS test_passed,
( task_check_name || E'\n' || task_check_description || E'\n' ||
'Esperados: next_execution_expected = ' || coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>') || E'\n' ||
'Retornados: next_execution = ' || coalesce(date_trunc('second',next_execution) || '', '<NULL>') )::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.query_task_check_next_execution_test_002() OWNER TO postgres;
--
-- Name: query_task_check_next_execution_test_003(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution_test_003() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
start_date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[]; -- Hora para o Teste
days_time_minute_to_test INTEGER[]; -- Minuto para o Teste
task_check_id_test INTEGER; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
moment_to_test TEXT; -- Momento em que eh ajustado o mock do relogio para executar o teste (simula o momento atual)
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
task_check_name TEXT; -- Nome da checagem de tarefa testada
task_check_description TEXT; -- Descricao da checagem de tarefa testada
next_execution_expected TIMESTAMP; -- Momentos esperados das proximas execucoes
next_execution TIMESTAMP; -- Momentos das proximas execucoes
BEGIN
days_time_hour_to_test := array[ NULL, NULL, NULL ];
days_time_minute_to_test := array[ NULL, NULL, NULL ];
-- Local que serah usado para todos os testes
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
BEGIN
--------------------------- Teste 3 - Semanal a cada 2 sabados e comecou sabado passado, nos horarios das 7:30:00 ou 13:40:00 ---------------------------
PERFORM tests.set_clock_now('2018-01-13T10:22:00'); -- Faz mock do relogio
start_time_test := clock_now();
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'semanal';
start_date_test := clock_now()::DATE;
moment_to_test := '2018-01-27T14:29:00';
task_check_name = '"Teste 3 - Semanal a cada 2 sabados"';
task_check_description = '"comecou sabado passado, ' || start_date_test || ' nos horarios das 7:30:00 ou 13:40:00 e o momento atual eh ' || moment_to_test || '"';
days_time_hour_to_test[1] := 7;
days_time_minute_to_test[1] := 30;
days_time_hour_to_test[2] := 13;
days_time_minute_to_test[2] := 40;
next_execution_expected := '2018-02-10T07:30:00';
task_check_test :=
'{ "name": ' || task_check_name || ',
"description": ' || task_check_description || ',
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || start_date_test || '",
"ends_at": null,
"repeats_every": 2,
"weeks_days": { "sunday": false, "monday": false, "tuesday": false, "wednesday": false, "thursday": false, "friday": false, "saturday": true },
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' },
{ "hour": ' || days_time_hour_to_test[2] || ', "minute": ' || days_time_minute_to_test[2] || ' }
],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test := tc_id;
-- Pega a proxima execucao e guarda na next_executions[1]
PERFORM tests.set_clock_now(moment_to_test); -- Faz mock do relogio para 12 dias depois que a tarefa foi cadastrada
next_execution := query_task_check_next_execution(task_check_id_test);
END;
BEGIN
---------------------- Exclui tuplas criadas para testes -----------------------
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test;
DELETE FROM task_checks WHERE id = task_check_id_test;
DELETE FROM places WHERE id = place_id_test;
END;
end_time_test := clock_now();
PERFORM tests.set_clock_now(NULL); -- Desfaz mock do relogio
--------------------- Retorna os resultados dos testes ---------------------
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'query_task_check_next_execution()'::VARCHAR(64) AS function_name,
(coalesce(date_trunc('second',next_execution) || '', '<NULL>') = coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>'))
AS test_passed,
( task_check_name || E'\n' || task_check_description || E'\n' ||
'Esperados: next_execution_expected = ' || coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>') || E'\n' ||
'Retornados: next_execution = ' || coalesce(date_trunc('second',next_execution) || '', '<NULL>') )::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.query_task_check_next_execution_test_003() OWNER TO postgres;
--
-- Name: query_task_check_next_execution_test_004(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution_test_004() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
start_date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[]; -- Hora para o Teste
days_time_minute_to_test INTEGER[]; -- Minuto para o Teste
task_check_id_test INTEGER; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
moment_to_test TEXT; -- Momento em que eh ajustado o mock do relogio para executar o teste (simula o momento atual)
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
task_check_name TEXT; -- Nome da checagem de tarefa testada
task_check_description TEXT; -- Descricao da checagem de tarefa testada
next_execution_expected TIMESTAMP; -- Momentos esperados das proximas execucoes
next_execution TIMESTAMP; -- Momentos das proximas execucoes
BEGIN
days_time_hour_to_test := array[ NULL ];
days_time_minute_to_test := array[ NULL ];
-- Local que serah usado para todos os testes
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
BEGIN
--------------------------- Teste 4 - Mensal a cada 2 meses e comecou 2018-01-13 passado, no horario das 9:30:00 ---------------------------
PERFORM tests.set_clock_now('2018-01-13T10:22:00'); -- Faz mock do relogio
start_time_test := clock_now();
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'mensal';
start_date_test := clock_now()::DATE;
moment_to_test := '2018-01-27T14:29:00';
task_check_name = '"Teste 4 - Mensal todos dias 5 e 20"';
task_check_description = '"comecou sabado passado, ' || start_date_test || '. Todos dias 5 e 20 no horario das 9:30 e o momento atual eh ' || moment_to_test || '"';
days_time_hour_to_test[1] := 9;
days_time_minute_to_test[1] := 30;
next_execution_expected := '2018-02-05T09:30:00';
task_check_test :=
'{ "name": ' || task_check_name || ',
"description": ' || task_check_description || ',
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || start_date_test || '",
"ends_at": null,
"repeats_every": 2,
"months_days": [ {"month_day": 5}, {"month_day": 20} ],
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test := tc_id;
-- Pega a proxima execucao e guarda na next_executions[1]
PERFORM tests.set_clock_now(moment_to_test); -- Faz mock do relogio para 12 dias depois que a tarefa foi cadastrada
next_execution := query_task_check_next_execution(task_check_id_test);
END;
BEGIN
---------------------- Exclui tuplas criadas para testes -----------------------
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test;
DELETE FROM task_checks WHERE id = task_check_id_test;
DELETE FROM places WHERE id = place_id_test;
END;
end_time_test := clock_now();
PERFORM tests.set_clock_now(NULL); -- Desfaz mock do relogio
--------------------- Retorna os resultados dos testes ---------------------
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'query_task_check_next_execution()'::VARCHAR(64) AS function_name,
(coalesce(date_trunc('second',next_execution) || '', '<NULL>') = coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>'))
AS test_passed,
( task_check_name || E'\n' || task_check_description || E'\n' ||
'Esperados: next_execution_expected = ' || coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>') || E'\n' ||
'Retornados: next_execution = ' || coalesce(date_trunc('second',next_execution) || '', '<NULL>') )::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.query_task_check_next_execution_test_004() OWNER TO postgres;
--
-- Name: query_task_check_next_execution_test_005(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution_test_005() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
start_date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[]; -- Hora para o Teste
days_time_minute_to_test INTEGER[]; -- Minuto para o Teste
task_check_id_test INTEGER; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
moment_to_test TEXT; -- Momento em que eh ajustado o mock do relogio para executar o teste (simula o momento atual)
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
task_check_name TEXT; -- Nome da checagem de tarefa testada
task_check_description TEXT; -- Descricao da checagem de tarefa testada
next_execution_expected TIMESTAMP; -- Momentos esperados das proximas execucoes
next_execution TIMESTAMP; -- Momentos das proximas execucoes
BEGIN
days_time_hour_to_test := array[ NULL ];
days_time_minute_to_test := array[ NULL ];
-- Local que serah usado para todos os testes
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
BEGIN
--------------------------- Teste 005 - Anual a cada 1 ano e comecou 2018-02-02, no horario das 9:30:00 ---------------------------
PERFORM tests.set_clock_now('2018-01-13T10:22:00'); -- Faz mock do relogio
start_time_test := clock_now();
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'anual';
start_date_test := '2018-02-02'::DATE;
moment_to_test := '2018-01-27T14:29:00';
task_check_name = '"Teste 005 - Anual todo dia 2 de Fevereiro"';
task_check_description = '"comecou em ' || start_date_test || '. Todos dias 2 de Fevereiro no horario das 9:30 e o momento atual eh ' || moment_to_test || '"';
days_time_hour_to_test[1] := 9;
days_time_minute_to_test[1] := 30;
next_execution_expected := '2018-02-02T09:30:00';
task_check_test :=
'{ "name": ' || task_check_name || ',
"description": ' || task_check_description || ',
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || start_date_test || '",
"ends_at": null,
"repeats_every": 2,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test := tc_id;
-- Pega a proxima execucao e guarda na next_executions[1]
PERFORM tests.set_clock_now(moment_to_test); -- Faz mock do relogio para 12 dias depois que a tarefa foi cadastrada
next_execution := query_task_check_next_execution(task_check_id_test);
END;
BEGIN
---------------------- Exclui tuplas criadas para testes -----------------------
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test;
DELETE FROM task_checks WHERE id = task_check_id_test;
DELETE FROM places WHERE id = place_id_test;
END;
end_time_test := clock_now();
PERFORM tests.set_clock_now(NULL); -- Desfaz mock do relogio
--------------------- Retorna os resultados dos testes ---------------------
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'query_task_check_next_execution()'::VARCHAR(64) AS function_name,
(coalesce(date_trunc('second',next_execution) || '', '<NULL>') = coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>'))
AS test_passed,
( task_check_name || E'\n' || task_check_description || E'\n' ||
'Esperados: next_execution_expected = ' || coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>') || E'\n' ||
'Retornados: next_execution = ' || coalesce(date_trunc('second',next_execution) || '', '<NULL>') )::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.query_task_check_next_execution_test_005() OWNER TO postgres;
--
-- Name: query_task_check_next_execution_test_006(); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION query_task_check_next_execution_test_006() RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
DECLARE
place_id_test INTEGER; -- id do local para usar nos testes
periodicity_id_test INTEGER; -- id da periodicidade usada nos testes
start_date_test DATE; -- Data para o teste
days_time_hour_to_test INTEGER[]; -- Hora para o Teste
days_time_minute_to_test INTEGER[]; -- Minuto para o Teste
task_check_id_test INTEGER; -- array com os id da verificacao de tarefa que serah testada
tc_id INTEGER; -- id que será armazenado em task_check_id_test
start_time_test TIMESTAMP; -- Momento de inicio do teste
end_time_test TIMESTAMP; -- Momento de fim do teste
moment_to_test TEXT; -- Momento em que eh ajustado o mock do relogio para executar o teste (simula o momento atual)
task_check_test TEXT; -- String JSON com a tarefa a ser inserida e testada
task_check_name TEXT; -- Nome da checagem de tarefa testada
task_check_description TEXT; -- Descricao da checagem de tarefa testada
next_execution_expected TIMESTAMP; -- Momentos esperados das proximas execucoes
next_execution TIMESTAMP; -- Momentos das proximas execucoes
BEGIN
days_time_hour_to_test := array[ NULL ];
days_time_minute_to_test := array[ NULL ];
-- Local que serah usado para todos os testes
INSERT INTO places (company_id, name, updated_by_user_id) VALUES (1, 'Local apenas para testes das funcoes do banco de dados', 1) RETURNING id INTO place_id_test;
BEGIN
--------------------------- Teste 6 - Anual a cada 1 ano e comecou 2017-07-29, no horario das 12:00:00 ---------------------------
PERFORM tests.set_clock_now('2017-01-13T10:22:00'); -- Faz mock do relogio
start_time_test := clock_now();
SELECT INTO periodicity_id_test id FROM parameters WHERE category_name = 'periodicidades' AND key_name = 'anual';
start_date_test := '2017-07-29'::DATE;
moment_to_test := '2018-02-13T11:23:00';
task_check_name = '"Teste 006 - Anual todo dia 29 de Julho"';
task_check_description = '"comecou em ' || start_date_test || '. Todos dias 29 de Julho no horario das 12:00 e o momento atual eh ' || moment_to_test || '"';
days_time_hour_to_test[1] := 12;
days_time_minute_to_test[1] := 0;
next_execution_expected := '2018-07-29T12:00:00';
task_check_test :=
'{ "name": ' || task_check_name || ',
"description": ' || task_check_description || ',
"place_id": ' || place_id_test || ',
"user_checker_id": 2,
"periodicity_id": ' || periodicity_id_test || ',
"starts_at": "' || start_date_test || '",
"ends_at": null,
"repeats_every": 2,
"updated_by_user_id": 1,
"days_times": [ { "hour": ' || days_time_hour_to_test[1] || ', "minute": ' || days_time_minute_to_test[1] || ' } ],
"notifications": [ { "notification_type_id": 19, "pre_notify_days": 0, "pre_notify_hours": 0, "pre_notify_minutes": 0, "notify_again_every": 0 } ]
}';
SELECT INTO tc_id insert_taskcheckjson(task_check_test);
task_check_id_test := tc_id;
-- Pega a proxima execucao e guarda na next_executions[1]
PERFORM tests.set_clock_now(moment_to_test); -- Faz mock do relogio para 12 dias depois que a tarefa foi cadastrada
next_execution := query_task_check_next_execution(task_check_id_test);
END;
BEGIN
---------------------- Exclui tuplas criadas para testes -----------------------
DELETE FROM execution_queue WHERE task_check_id = task_check_id_test;
DELETE FROM task_checks WHERE id = task_check_id_test;
DELETE FROM places WHERE id = place_id_test;
END;
end_time_test := clock_now();
PERFORM tests.set_clock_now(NULL); -- Desfaz mock do relogio
--------------------- Retorna os resultados dos testes ---------------------
RETURN QUERY
(
SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT 'query_task_check_next_execution()'::VARCHAR(64) AS function_name,
(coalesce(date_trunc('second',next_execution) || '', '<NULL>') = coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>'))
AS test_passed,
( task_check_name || E'\n' || task_check_description || E'\n' ||
'Esperados: next_execution_expected = ' || coalesce(date_trunc('second', next_execution_expected) || '', '<NULL>') || E'\n' ||
'Retornados: next_execution = ' || coalesce(date_trunc('second',next_execution) || '', '<NULL>') )::TEXT
AS details,
end_time_test - start_time_test AS running_time
) t
);
END
$$;
ALTER FUNCTION tests.query_task_check_next_execution_test_006() OWNER TO postgres;
--
-- Name: set_clock_now(text); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION set_clock_now(time_to_clock text) RETURNS void
LANGUAGE plpgsql
AS $$
BEGIN
-- Para usar essa funcao eh necessario criar um parametro que indica que o banco de dados eh o de desenvolvimento com a instrucao abaixo:
-- INSERT INTO parameters (category_name, key_name, key_type, key_value, updated_by_user_id) VALUES ('Tests', 'DevelopmentDB', 'BOOLEAN', 'true', 1);
IF ( SELECT count(id) FROM parameters WHERE category_name = 'Tests' AND key_name = 'DevelopmentDB' AND key_value = 'true' ) = 0 THEN
RAISE EXCEPTION E'\n======================================================
\n Banco de dados atual nao eh o de desenvolvimento.
\n Proibido o uso de tests.set_clock_now().
\n Use a instrucao abaixo para assumir que o banco de dados eh de desenvolvimento:
\n INSERT INTO parameters (category_name, key_name, key_type, key_value, updated_by_user_id) VALUES (\'Tests\', \'DevelopmentDB\', \'BOOLEAN\', \'true\', 1);
\n======================================================
';
END IF;
IF time_to_clock ISNULL THEN
DELETE FROM parameters WHERE category_name = 'Tests' AND key_name = 'clock_mocked_at';
ELSE
IF ( SELECT count(id) FROM parameters WHERE category_name = 'Tests' AND key_name = 'clock_mocked_at' ) = 0 THEN
INSERT INTO parameters (category_name, key_name, key_type, key_value, updated_by_user_id) VALUES ('Tests', 'clock_mocked_at', 'TIMESTAMP', time_to_clock, 1);
ELSE
UPDATE parameters SET key_value = time_to_clock WHERE category_name = 'Tests' AND key_name = 'clock_mocked_at';
END IF;
END IF;
END;
$$;
ALTER FUNCTION tests.set_clock_now(time_to_clock text) OWNER TO postgres;
--
-- Name: test_all(boolean, text); Type: FUNCTION; Schema: tests; Owner: postgres
--
CREATE FUNCTION test_all(only_fails boolean, also_function_name text) RETURNS TABLE(function_name character varying, test_passed boolean, details text, running_time interval)
LANGUAGE plpgsql
AS $$
BEGIN
RETURN QUERY
(
( SELECT t.function_name, t.test_passed, t.details, t.running_time
FROM ( SELECT * FROM tests.query_task_check_next_execution_test_001()
UNION SELECT * FROM tests.query_task_check_next_execution_test_002()
UNION SELECT * FROM tests.query_task_check_next_execution_test_003()
UNION SELECT * FROM tests.query_task_check_next_execution_test_004()
UNION SELECT * FROM tests.query_task_check_next_execution_test_005()
UNION SELECT * FROM tests.query_task_check_next_execution_test_006()
UNION SELECT * FROM tests.next_executions_as_json_test_001()
) t
WHERE ( NOT coalesce(only_fails, false) OR NOT t.test_passed ) OR
( CASE WHEN coalesce(also_function_name, '') = '' THEN NULL ELSE t.function_name LIKE '%' || also_function_name ||'%' END )
ORDER BY function_name, details
)
);
END
$$;
ALTER FUNCTION tests.test_all(only_fails boolean, also_function_name text) OWNER TO postgres;
SET search_path = public, pg_catalog;
SET default_tablespace = '';
SET default_with_oids = false;
--
-- Name: audition_tables; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE audition_tables (
table_name character varying(64) NOT NULL,
insert_auditing boolean DEFAULT false NOT NULL,
update_auditing boolean DEFAULT false NOT NULL,
delete_auditing boolean DEFAULT true NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL
);
ALTER TABLE audition_tables OWNER TO postgres;
--
-- Name: TABLE audition_tables; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE audition_tables IS 'tabelas a serem auditadas e quais quais operacoes geram auditoria (INSERT, UPDATE, DELETE).';
--
-- Name: COLUMN audition_tables.table_name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN audition_tables.table_name IS 'nome da tabela a ser auditada.';
--
-- Name: COLUMN audition_tables.insert_auditing; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN audition_tables.insert_auditing IS 'Se true, faz a auditoria durante a operacao INSERT.';
--
-- Name: COLUMN audition_tables.update_auditing; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN audition_tables.update_auditing IS 'Se true, faz a auditoria durante a operacao UPDATE.';
--
-- Name: COLUMN audition_tables.delete_auditing; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN audition_tables.delete_auditing IS 'Se true, faz a auditoria durante a operacao DELETE.
Unica operacao a ter valor padrao true.';
--
-- Name: auditions; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE auditions (
id integer NOT NULL,
table_name character varying(64) NOT NULL,
operation character(1) NOT NULL,
primary_key character varying(250) NOT NULL,
old_values text,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer
);
ALTER TABLE auditions OWNER TO postgres;
--
-- Name: COLUMN auditions.table_name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN auditions.table_name IS 'nome da tabela a ser auditada.';
--
-- Name: COLUMN auditions.operation; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN auditions.operation IS 'Operacao: I=INSERT, U=UPDATE, D=DELETE.';
--
-- Name: COLUMN auditions.primary_key; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN auditions.primary_key IS 'Valor da chave primaria (normalmente o id, mas tambem pode ser valores concatenados de chaves primarias compostas).';
--
-- Name: COLUMN auditions.old_values; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN auditions.old_values IS 'Valores das colunas expresso em JSON.
Nulo para inclusao.
Valores antigos da tupla para atualizacao.
Valores atuais da tupla para exclusao.';
--
-- Name: COLUMN auditions.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN auditions.updated_by_user_id IS 'id do usuario que fez a operacao';
--
-- Name: auditions_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE auditions_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE auditions_id_seq OWNER TO postgres;
--
-- Name: auditions_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE auditions_id_seq OWNED BY auditions.id;
--
-- Name: companies; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE companies (
id integer NOT NULL,
name character varying(60) NOT NULL,
nick_name character varying(60) NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer
);
ALTER TABLE companies OWNER TO postgres;
--
-- Name: COLUMN companies.name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN companies.name IS 'Nome ou Razão Social da Empresa';
--
-- Name: COLUMN companies.nick_name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN companies.nick_name IS 'Apelido ou Nome Fantasia da Empresa.';
--
-- Name: COLUMN companies.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN companies.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN companies.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN companies.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN companies.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN companies.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: companies_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE companies_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE companies_id_seq OWNER TO postgres;
--
-- Name: companies_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE companies_id_seq OWNED BY companies.id;
--
-- Name: days_times; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE days_times (
id integer NOT NULL,
task_check_id integer NOT NULL,
hour numeric(2,0) NOT NULL,
minute numeric(2,0) NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL,
CONSTRAINT day_times_minute_divisible_by_5 CHECK (((minute % (5)::numeric) = (0)::numeric))
);
ALTER TABLE days_times OWNER TO postgres;
--
-- Name: TABLE days_times; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE days_times IS 'Horários do dia.';
--
-- Name: COLUMN days_times.hour; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN days_times.hour IS 'Hora do dia';
--
-- Name: COLUMN days_times.minute; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN days_times.minute IS 'Minuto da Hora do dia.';
--
-- Name: COLUMN days_times.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN days_times.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN days_times.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN days_times.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN days_times.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN days_times.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: days_times_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE days_times_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE days_times_id_seq OWNER TO postgres;
--
-- Name: days_times_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE days_times_id_seq OWNED BY days_times.id;
--
-- Name: execution_queue; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE execution_queue (
id integer NOT NULL,
task_check_id integer NOT NULL,
executed boolean DEFAULT false NOT NULL,
next_execution timestamp without time zone NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL
);
ALTER TABLE execution_queue OWNER TO postgres;
--
-- Name: TABLE execution_queue; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE execution_queue IS 'Fila para execucao de envio de notificacoes.';
--
-- Name: COLUMN execution_queue.executed; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN execution_queue.executed IS 'Quando o valor for mudado para true, a tupla serah copiada para a tabela auditings e entao excluida.';
--
-- Name: COLUMN execution_queue.next_execution; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN execution_queue.next_execution IS 'Data e hora para a proxima execucao de envio de notificacoes.';
--
-- Name: execution_queue_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE execution_queue_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE execution_queue_id_seq OWNER TO postgres;
--
-- Name: execution_queue_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE execution_queue_id_seq OWNED BY execution_queue.id;
--
-- Name: migrations; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE migrations (
db_version character varying(250) NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL
);
ALTER TABLE migrations OWNER TO postgres;
--
-- Name: TABLE migrations; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE migrations IS 'Quando a estrutura do banco muda as se adicionar, modificar ou excluir uma relacao, deverah ficar registrado nessa tabela.';
--
-- Name: COLUMN migrations.db_version; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN migrations.db_version IS 'Versao em uso para o banco de dados.';
--
-- Name: COLUMN migrations.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN migrations.created_at IS 'Data e hora em que foi feita a mudança para esta versao.';
--
-- Name: months_days; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE months_days (
id integer NOT NULL,
task_check_id integer NOT NULL,
month_day integer NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL
);
ALTER TABLE months_days OWNER TO postgres;
--
-- Name: TABLE months_days; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE months_days IS 'Dias do mês em que a tarefa será conferida.';
--
-- Name: COLUMN months_days.month_day; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN months_days.month_day IS 'Dias de 1 a 31.';
--
-- Name: COLUMN months_days.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN months_days.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN months_days.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN months_days.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN months_days.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN months_days.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: months_days_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE months_days_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE months_days_id_seq OWNER TO postgres;
--
-- Name: months_days_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE months_days_id_seq OWNED BY months_days.id;
--
-- Name: notifications; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE notifications (
id integer NOT NULL,
task_check_id integer NOT NULL,
notification_type_id integer NOT NULL,
pre_notify_days integer DEFAULT 0 NOT NULL,
pre_notify_hours integer DEFAULT 0 NOT NULL,
pre_notify_minutes integer DEFAULT 10 NOT NULL,
notify_again_every integer DEFAULT 5 NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL,
CONSTRAINT notifications_notify_again_every_divisible_by_5 CHECK (((notify_again_every % 5) = 0)),
CONSTRAINT notifications_pre_notify_minutes_divisible_by_5 CHECK (((pre_notify_minutes % 5) = 0))
);
ALTER TABLE notifications OWNER TO postgres;
--
-- Name: COLUMN notifications.pre_notify_days; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.pre_notify_days IS 'Avisar com antecedência de x dias.';
--
-- Name: COLUMN notifications.pre_notify_hours; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.pre_notify_hours IS 'Avisar com antecedência de x horas.';
--
-- Name: COLUMN notifications.pre_notify_minutes; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.pre_notify_minutes IS 'IMPORTANTE: MULTIPLOS DE 5 MINUTOS. Avisar com antecedência de x minutos.';
--
-- Name: COLUMN notifications.notify_again_every; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.notify_again_every IS 'Notificar novamente a cada x minutos.';
--
-- Name: COLUMN notifications.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN notifications.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN notifications.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN notifications.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: notifications_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE notifications_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE notifications_id_seq OWNER TO postgres;
--
-- Name: notifications_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE notifications_id_seq OWNED BY notifications.id;
--
-- Name: parameters; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE parameters (
id integer NOT NULL,
category_name character varying(60) NOT NULL,
key_name character varying(60) NOT NULL,
key_type character varying(32) NOT NULL,
key_value text NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL
);
ALTER TABLE parameters OWNER TO postgres;
--
-- Name: TABLE parameters; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE parameters IS 'Chaves e valores para a categoria Periodicidade:
Única vez = 1
Diário = 2
Semanal = 3
Mensal = 4
Anual = 5
-----------
Chaves e valores para a categoria Meses:
Janeiro = 1
Fevereiro = 2
Março = 3
Abril = 4
Maio = 5
Junho = 6
Julho = 7
Agosto = 8
Setembro = 9
Outubro = 10
Novembro = 11
Dezembro = 12
---------------
Chaves e valores para a categoria Tipo_Notificacao:
Aviso_Impresso = 1
E-mail = 2
Mensagem_Movel = 3
Aviso_Pop_Up = 4
---------------------
Chaves e valores para a categoria Unidades_Tempo:
Minuto = 1
Hora = 2
Dia = 3
Semana = 4
Mês = 5
Ano = 6
---------------------';
--
-- Name: COLUMN parameters.category_name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.category_name IS 'Nome da categoria do parâmetro, por exemplo: Periodicidade';
--
-- Name: COLUMN parameters.key_name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.key_name IS 'Nome da chave do parâmetro. Por exemplo: Diária';
--
-- Name: COLUMN parameters.key_type; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.key_type IS 'Tipo do valor do parâmetro. Por exemplo: String, Integer, Float, Boolean, Date, Timestamp, Binary, JSON.';
--
-- Name: COLUMN parameters.key_value; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.key_value IS 'Valor do parâmetro. Sempre gravado como string, porém respeitando o tipo definido na coluna chave_tipo (key_type). Por exemplo para a chave Diária o valor será definido como 2 (ver comentário da coluna periodicidade_id na tabela tarefa_conferencias).';
--
-- Name: COLUMN parameters.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN parameters.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN parameters.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN parameters.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: parameters_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE parameters_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE parameters_id_seq OWNER TO postgres;
--
-- Name: parameters_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE parameters_id_seq OWNED BY parameters.id;
--
-- Name: places; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE places (
id integer NOT NULL,
company_id integer NOT NULL,
name character varying(60) NOT NULL,
description text,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL
);
ALTER TABLE places OWNER TO postgres;
--
-- Name: COLUMN places.name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN places.name IS 'Nome do local dentro da empresa.';
--
-- Name: COLUMN places.description; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN places.description IS 'Descrição do local dentro da empresa.';
--
-- Name: COLUMN places.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN places.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN places.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN places.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN places.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN places.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: places_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE places_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE places_id_seq OWNER TO postgres;
--
-- Name: places_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE places_id_seq OWNED BY places.id;
--
-- Name: seeds; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE seeds (
seed_version character varying(250) NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL
);
ALTER TABLE seeds OWNER TO postgres;
--
-- Name: TABLE seeds; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE seeds IS 'Quando o banco de dados eh populado, ficarah registrado aqui nessa tabela.';
--
-- Name: COLUMN seeds.seed_version; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN seeds.seed_version IS 'Versao de quando populou o banco de dados.';
--
-- Name: COLUMN seeds.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN seeds.created_at IS 'Data e hora em que foi feita a mudança para esta versao.';
--
-- Name: task_checks; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE task_checks (
id integer NOT NULL,
name character varying(60) NOT NULL,
description text,
place_id integer NOT NULL,
user_checker_id integer NOT NULL,
periodicity_id integer NOT NULL,
starts_at date NOT NULL,
ends_at date,
repeats_every integer DEFAULT 0 NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL,
active boolean DEFAULT true NOT NULL
);
ALTER TABLE task_checks OWNER TO postgres;
--
-- Name: TABLE task_checks; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE task_checks IS 'Cadastro de tarefas a serem conferidas.';
--
-- Name: COLUMN task_checks.name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.name IS 'Nome da Tarefa a ser conferida (What).';
--
-- Name: COLUMN task_checks.description; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.description IS 'Descrição detalhada da tarefa a ser conferida (Why).';
--
-- Name: COLUMN task_checks.place_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.place_id IS 'Local (Where) onde a tarefa será conferida.';
--
-- Name: COLUMN task_checks.user_checker_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.user_checker_id IS 'Usuário conferente (Who) que checará se a tarefa foi executada ou não.';
--
-- Name: COLUMN task_checks.periodicity_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.periodicity_id IS 'Periodicidade da Tarefa buscada na tabela parametros (parameters) para a categoria (cotegory_name) Periodicidades:
1. Única vez
2. Diário
3. Semanal
4. Mensal
5. Anual';
--
-- Name: COLUMN task_checks.starts_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.starts_at IS 'Data de início da verificação da tarefa.';
--
-- Name: COLUMN task_checks.ends_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.ends_at IS 'Data em que termina. NULL para NÃO termina.';
--
-- Name: COLUMN task_checks.repeats_every; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.repeats_every IS 'Repetir a cada x dias, semanas etc.';
--
-- Name: COLUMN task_checks.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN task_checks.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN task_checks.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN task_checks.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: task_checks_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE task_checks_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE task_checks_id_seq OWNER TO postgres;
--
-- Name: task_checks_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE task_checks_id_seq OWNED BY task_checks.id;
--
-- Name: teste; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE teste (
id integer,
nome character varying(2000)
);
ALTER TABLE teste OWNER TO postgres;
--
-- Name: users; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE users (
id integer NOT NULL,
user_name character varying(20) NOT NULL,
password character varying(255) NOT NULL,
name character varying(60) NOT NULL,
email character varying(255),
mobile_message character varying(20),
cpf character varying(20) NOT NULL,
administrator boolean DEFAULT false NOT NULL,
company_id integer NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer
);
ALTER TABLE users OWNER TO postgres;
--
-- Name: COLUMN users.user_name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.user_name IS 'Nome do usuário sem espaços e com preenchimento obrigatoriamente em minúsculas permitindo também números e underline. [a-z0-9_]{20}';
--
-- Name: COLUMN users.password; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.password IS 'Senha criptografada.';
--
-- Name: COLUMN users.name; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.name IS 'Nome inteiro da pessoa.';
--
-- Name: COLUMN users.email; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.email IS 'Preenchimento obrigadorio para o caso de ser usuário administrador (administrator = true).';
--
-- Name: COLUMN users.cpf; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.cpf IS 'CPF do usuário.';
--
-- Name: COLUMN users.administrator; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.administrator IS 'true se o usuário for um dos administradores da empresa.';
--
-- Name: COLUMN users.company_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.company_id IS 'Usado como chave estrangeira para a tabela copanies (empresas).';
--
-- Name: COLUMN users.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN users.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN users.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN users.updated_by_user_id IS 'Usuário que alterou os dados da tupla pela última vez, podendo ficar nulo.';
--
-- Name: users_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE users_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE users_id_seq OWNER TO postgres;
--
-- Name: users_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE users_id_seq OWNED BY users.id;
--
-- Name: weeks_days; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE weeks_days (
id integer NOT NULL,
task_check_id integer NOT NULL,
sunday boolean DEFAULT false NOT NULL,
monday boolean DEFAULT false NOT NULL,
tuesday boolean DEFAULT false NOT NULL,
wednesday boolean DEFAULT false NOT NULL,
thursday boolean DEFAULT false NOT NULL,
friday boolean DEFAULT false NOT NULL,
saturday boolean DEFAULT false NOT NULL,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now() NOT NULL,
updated_by_user_id integer NOT NULL
);
ALTER TABLE weeks_days OWNER TO postgres;
--
-- Name: TABLE weeks_days; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON TABLE weeks_days IS 'Dias da semana em que a tarefa será checada.';
--
-- Name: COLUMN weeks_days.created_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN weeks_days.created_at IS 'Data e hora da criação.';
--
-- Name: COLUMN weeks_days.updated_at; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN weeks_days.updated_at IS 'Data e hora da última modificação.';
--
-- Name: COLUMN weeks_days.updated_by_user_id; Type: COMMENT; Schema: public; Owner: postgres
--
COMMENT ON COLUMN weeks_days.updated_by_user_id IS 'Usuário que fez a útlima modificação empresa.';
--
-- Name: weeks_days_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE weeks_days_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE weeks_days_id_seq OWNER TO postgres;
--
-- Name: weeks_days_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE weeks_days_id_seq OWNED BY weeks_days.id;
--
-- Name: auditions id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY auditions ALTER COLUMN id SET DEFAULT nextval('auditions_id_seq'::regclass);
--
-- Name: companies id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY companies ALTER COLUMN id SET DEFAULT nextval('companies_id_seq'::regclass);
--
-- Name: days_times id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY days_times ALTER COLUMN id SET DEFAULT nextval('days_times_id_seq'::regclass);
--
-- Name: execution_queue id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY execution_queue ALTER COLUMN id SET DEFAULT nextval('execution_queue_id_seq'::regclass);
--
-- Name: months_days id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY months_days ALTER COLUMN id SET DEFAULT nextval('months_days_id_seq'::regclass);
--
-- Name: notifications id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY notifications ALTER COLUMN id SET DEFAULT nextval('notifications_id_seq'::regclass);
--
-- Name: parameters id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY parameters ALTER COLUMN id SET DEFAULT nextval('parameters_id_seq'::regclass);
--
-- Name: places id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY places ALTER COLUMN id SET DEFAULT nextval('places_id_seq'::regclass);
--
-- Name: task_checks id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY task_checks ALTER COLUMN id SET DEFAULT nextval('task_checks_id_seq'::regclass);
--
-- Name: users id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users ALTER COLUMN id SET DEFAULT nextval('users_id_seq'::regclass);
--
-- Name: weeks_days id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY weeks_days ALTER COLUMN id SET DEFAULT nextval('weeks_days_id_seq'::regclass);
--
-- Data for Name: audition_tables; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY audition_tables (table_name, insert_auditing, update_auditing, delete_auditing, created_at, updated_at) FROM stdin;
audition_tables t t t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
companies t t t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
days_times f f t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
execution_queue t t t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
months_days f f t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
notifications f f t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
parameters t t t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
places t t t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
task_checks f f t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
users t t t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
weeks_days f f t 2017-08-11 23:17:41.983774 2017-08-11 23:17:41.983774
\.
--
-- Data for Name: auditions; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY auditions (id, table_name, operation, primary_key, old_values, created_at, updated_by_user_id) FROM stdin;
1 audition_tables I audition_tables \N 2017-08-11 23:17:41.983774 \N
2 audition_tables I companies \N 2017-08-11 23:17:41.983774 \N
3 audition_tables I days_times \N 2017-08-11 23:17:41.983774 \N
4 audition_tables I execution_queue \N 2017-08-11 23:17:41.983774 \N
5 audition_tables I months_days \N 2017-08-11 23:17:41.983774 \N
6 audition_tables I notifications \N 2017-08-11 23:17:41.983774 \N
7 audition_tables I parameters \N 2017-08-11 23:17:41.983774 \N
8 audition_tables I places \N 2017-08-11 23:17:41.983774 \N
9 audition_tables I task_checks \N 2017-08-11 23:17:41.983774 \N
10 audition_tables I users \N 2017-08-11 23:17:41.983774 \N
11 audition_tables I weeks_days \N 2017-08-11 23:17:41.983774 \N
12 companies I 1 \N 2017-08-19 09:19:13.457107 \N
13 users I 1 \N 2017-08-19 09:19:13.457107 \N
14 users U 1 {"id":1,"user_name":"luisfernandoweb","password":"b0c36fd6b5254cbf5665d7e414fd0ee2","name":"Luís Fernando","email":"luisfernandoweb@gmail.com","mobile_message":"+5519994230576","cpf":"13742083880","administrator":true,"company_id":1,"created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-08-19T09:19:13.457107","updated_by_user_id":null} 2017-08-19 09:19:13.457107 1
15 companies U 1 {"id":1,"name":"Empresa Testes Ltda","nick_name":"Empresa Testes, A Melhor","created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-08-19T09:19:13.457107","updated_by_user_id":null} 2017-08-19 09:19:13.457107 1
16 parameters I 1 \N 2017-08-19 09:19:17.796554 1
17 parameters I 2 \N 2017-08-19 09:19:17.796554 1
18 parameters I 3 \N 2017-08-19 09:19:17.796554 1
19 parameters I 4 \N 2017-08-19 09:19:17.796554 1
20 parameters I 5 \N 2017-08-19 09:19:17.796554 1
21 parameters I 6 \N 2017-08-19 09:19:17.796554 1
22 parameters I 7 \N 2017-08-19 09:19:17.796554 1
23 parameters I 8 \N 2017-08-19 09:19:17.796554 1
24 parameters I 9 \N 2017-08-19 09:19:17.796554 1
25 parameters I 10 \N 2017-08-19 09:19:17.796554 1
26 parameters I 11 \N 2017-08-19 09:19:17.796554 1
27 parameters I 12 \N 2017-08-19 09:19:17.796554 1
28 parameters I 13 \N 2017-08-19 09:19:17.796554 1
29 parameters I 14 \N 2017-08-19 09:19:17.796554 1
30 parameters I 15 \N 2017-08-19 09:19:17.796554 1
31 parameters I 16 \N 2017-08-19 09:19:17.796554 1
32 parameters I 17 \N 2017-08-19 09:19:17.796554 1
33 parameters I 18 \N 2017-08-19 09:19:17.796554 1
34 parameters I 19 \N 2017-08-19 09:19:17.796554 1
35 parameters I 20 \N 2017-08-19 09:19:17.796554 1
36 parameters I 21 \N 2017-08-19 09:19:17.796554 1
37 parameters I 22 \N 2017-08-19 09:19:17.796554 1
38 parameters I 23 \N 2017-08-19 09:19:17.796554 1
39 parameters I 24 \N 2017-08-19 09:19:17.796554 1
40 parameters I 25 \N 2017-08-19 09:19:17.796554 1
41 parameters I 26 \N 2017-08-19 09:19:17.796554 1
42 parameters I 27 \N 2017-08-19 09:19:17.796554 1
43 places I 1 \N 2017-08-19 09:19:23.066624 1
44 users I 2 \N 2017-08-19 09:19:33.252524 1
45 users I 3 \N 2017-08-19 09:19:33.252524 1
46 places I 2 \N 2017-08-19 09:19:53.338071 1
47 companies I 2 \N 2017-09-02 14:08:01.3612 1
48 companies U 1 {"id":1,"name":"Empresa Testes Ltda","nick_name":"Empresa Testes, A Melhor","created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-08-19T09:19:13.457107","updated_by_user_id":1} 2017-09-02 14:08:35.547188 1
49 companies U 2 {"id":2,"name":"XPTO Company Co.","nick_name":"XPTO","created_at":"2017-09-02T14:08:01.3612","updated_at":"2017-09-02T14:08:01.3612","updated_by_user_id":1} 2017-09-02 14:08:42.216391 1
50 companies U 1 {"id":1,"name":"XPTO Company Co.","nick_name":"XPTO","created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-09-02T14:08:35.547188","updated_by_user_id":1} 2017-09-02 14:08:47.184627 1
51 companies U 1 {"id":1,"name":"XPTO Company Co.","nick_name":"XPTO","created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-09-02T14:08:47.184627","updated_by_user_id":1} 2017-09-02 14:10:22.847006 1
52 companies U 1 {"id":1,"name":"XPTO Company Co.","nick_name":"Empresa Testes","created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-09-02T14:10:22.847006","updated_by_user_id":1} 2017-09-02 14:10:54.542025 1
53 companies U 1 {"id":1,"name":"XPTO Company Co.","nick_name":"Empresa Testes A Melhor","created_at":"2017-08-19T09:19:13.457107","updated_at":"2017-09-02T14:10:54.542025","updated_by_user_id":1} 2017-09-02 14:11:03.164708 1
54 places U 2 {"id":2,"company_id":1,"name":"Recepção","description":null,"created_at":"2017-08-19T09:19:53.338071","updated_at":"2017-08-19T09:19:53.338071","updated_by_user_id":1} 2017-09-23 10:12:01.891692 1
55 places U 2 {"id":2,"company_id":1,"name":"Recepção","description":null,"created_at":"2017-08-19T09:19:53.338071","updated_at":"2017-09-23T10:12:01.891692","updated_by_user_id":1} 2017-09-23 10:12:12.2759 1
56 places U 2 {"id":2,"company_id":1,"name":"Recepção","description":"","created_at":"2017-08-19T09:19:53.338071","updated_at":"2017-09-23T10:12:12.2759","updated_by_user_id":1} 2017-09-23 10:12:22.316121 1
\.
--
-- Name: auditions_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('auditions_id_seq', 56, true);
--
-- Data for Name: companies; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY companies (id, name, nick_name, created_at, updated_at, updated_by_user_id) FROM stdin;
2 XPTO Company Co. XPTO 2017-09-02 14:08:01.3612 2017-09-02 14:08:42.216391 1
1 Empresa Testes Empresa Testes A Melhor 2017-08-19 09:19:13.457107 2017-09-02 14:11:03.164708 1
\.
--
-- Name: companies_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('companies_id_seq', 2, true);
--
-- Data for Name: days_times; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY days_times (id, task_check_id, hour, minute, created_at, updated_at, updated_by_user_id) FROM stdin;
1 1 7 40 2017-08-19 09:19:39.312127 2017-08-19 09:19:39.312127 1
2 1 13 30 2017-08-19 09:19:39.312127 2017-08-19 09:19:39.312127 1
3 2 7 40 2017-08-19 09:19:53.338071 2017-08-19 09:19:53.338071 1
4 2 13 30 2017-08-19 09:19:53.338071 2017-08-19 09:19:53.338071 1
5 3 12 0 2017-08-19 09:20:14.353154 2017-08-19 09:20:14.353154 1
6 3 13 30 2017-08-19 09:20:14.353154 2017-08-19 09:20:14.353154 1
7 4 15 20 2017-08-19 09:20:31.076926 2017-08-19 09:20:31.076926 1
8 4 21 30 2017-08-19 09:20:31.076926 2017-08-19 09:20:31.076926 1
9 5 10 20 2017-08-19 09:20:35.159311 2017-08-19 09:20:35.159311 1
10 5 16 30 2017-08-19 09:20:35.159311 2017-08-19 09:20:35.159311 1
11 6 9 30 2017-09-02 10:19:32.568313 2017-09-02 10:19:32.568313 1
\.
--
-- Name: days_times_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('days_times_id_seq', 11, true);
--
-- Data for Name: execution_queue; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY execution_queue (id, task_check_id, executed, next_execution, created_at) FROM stdin;
\.
--
-- Name: execution_queue_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('execution_queue_id_seq', 1, false);
--
-- Data for Name: migrations; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY migrations (db_version, created_at) FROM stdin;
00000_create_database_relations 2017-08-11 23:16:58.565739
00001_create_trigger_before_update_updated_at 2017-08-11 23:17:10.794901
00002_define_constraint_for_columns_uniques 2017-08-11 23:17:15.448516
00003_alter_bytea_to_text 2017-08-11 23:17:19.313996
00004_set_default_created_at_and_updated_at 2017-08-11 23:17:24.171184
00005_create_function_insert_place_json 2017-08-11 23:17:28.147879
00006_create_function_insert_task_check_json 2017-08-11 23:17:32.998365
00007_create_trigger_log_auditions 2017-08-11 23:17:37.792098
00008_add_trigger_log_it_to_tables 2017-08-11 23:17:41.983774
00009_create_trigger_execution_queue_delete_after_update_executed_sets_true 2017-08-11 23:17:46.530374
00010_create_function_insert_into_execution_queue 2017-08-11 23:17:56.631965
00011_create_function_insert_task_check_json_text 2017-08-11 23:18:01.049882
00012_replace_constraints_to_cascade_for_delete_on_references_task_checks 2017-08-11 23:18:04.813366
00013_create_function_insert_into_execution_queue_monthly 2017-08-11 23:18:08.686094
00014_create_function_insert_into_execution_queue_weekly 2017-08-11 23:18:12.721452
00015_replace_function_insert_task_check_json 2017-08-11 23:18:16.197579
00016_create_function_insert_into_execution_queue_one_time 2017-08-11 23:18:20.851776
00017_create_function_insert_into_execution_queue_daily 2017-08-11 23:18:26.102802
00018_create_function_insert_into_execution_queue_yearly 2017-08-11 23:18:32.871248
00019_replace_function_insert_into_execution_queue 2017-08-11 23:18:37.644506
00020_replace_function_insert_task_check_json 2017-08-11 23:18:42.428161
00021_drop_function_insert_place_json 2017-08-11 23:18:47.978386
00022_create_function_execution_queue_to_json 2017-08-19 11:58:45.499121
00023_add_check_5_in_5_minutes_to_time_columns 2017-08-19 11:58:49.872285
00024_set_timezone_to_brasilia 2017-08-19 11:59:57.272934
00025_create_function_clock_now_and_set_clock_now 2017-09-02 09:39:42.120421
00026_replace_function_insert_into_execution_queue_one_time 2017-09-02 09:40:16.933035
00027_create_function_insert_into_execution_queue_time_test 2017-09-02 09:40:23.20916
00028_add_constraint_notifications_notify_again_every_divisible_by_5 2017-09-02 09:40:26.915948
00029_replace_function_insert_into_execution_queue_daily 2017-09-02 09:40:32.181312
00030_create_function_insert_into_execution_queue_daily_test 2017-09-02 09:40:37.424387
00031_replace_function_insert_into_execution_queue_weekly 2017-09-02 12:45:39.596571
00032_create_function_insert_into_execution_queue_weekly_test 2017-09-02 12:45:44.682972
00033_replace_function_insert_into_execution_queue_monthly 2017-09-09 09:07:02.779022
00034_create_function_insert_into_execution_queue_monthly_test 2017-09-09 09:07:10.299673
00035_replace_function_insert_into_execution_queue_yearly 2017-09-23 08:26:16.615437
00036_create_function_insert_into_execution_queue_yearly_test 2017-09-23 08:26:24.658594
00037_replace_function_clock_now 2018-02-24 10:25:31.225345
00038_create_schema_tests 2018-02-24 10:25:37.338917
00039_move_set_clock_now_to_tests_schema 2018-02-24 10:25:40.751474
00040_create_function_query_task_check_next_execution 2018-02-24 10:25:44.441314
00041_create_function_tests.query_task_check_next_execution_test_001 2018-02-24 10:25:48.901986
00042_create_function_tests.query_task_check_next_execution_test_002 2018-02-24 10:25:52.814062
00043_create_function_tests.query_task_check_next_execution_test_003 2018-02-24 10:25:57.425501
00044_create_function_tests.query_task_check_next_execution_test_004 2018-02-24 10:26:01.44406
00045_create_function_tests.query_task_check_next_execution_test_005 2018-02-24 10:26:05.02758
00046_create_funcion_tests.test_all 2018-02-24 10:26:08.495432
00047_create_funcion_next_executions_as_json 2018-02-24 10:26:12.304457
00048_create_function_tests.query_task_check_next_execution_test_006 2018-02-24 10:26:15.510111
00049_replace_function_query_task_check_next_execution 2018-02-24 10:26:18.244681
00050_create_function_next_executions_as_json_test_001 2018-02-24 10:26:21.248469
00051_replace_funcion_tests.test_all 2018-02-24 10:26:25.044464
\.
--
-- Data for Name: months_days; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY months_days (id, task_check_id, month_day, created_at, updated_at, updated_by_user_id) FROM stdin;
1 2 7 2017-08-19 09:19:53.338071 2017-08-19 09:19:53.338071 1
2 2 22 2017-08-19 09:19:53.338071 2017-08-19 09:19:53.338071 1
\.
--
-- Name: months_days_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('months_days_id_seq', 2, true);
--
-- Data for Name: notifications; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY notifications (id, task_check_id, notification_type_id, pre_notify_days, pre_notify_hours, pre_notify_minutes, notify_again_every, created_at, updated_at, updated_by_user_id) FROM stdin;
1 1 19 0 1 30 10 2017-08-19 09:19:39.312127 2017-08-19 09:19:39.312127 1
2 2 19 0 1 30 10 2017-08-19 09:19:53.338071 2017-08-19 09:19:53.338071 1
3 3 19 0 0 10 10 2017-08-19 09:20:14.353154 2017-08-19 09:20:14.353154 1
4 4 19 0 0 15 5 2017-08-19 09:20:31.076926 2017-08-19 09:20:31.076926 1
5 5 19 0 0 15 5 2017-08-19 09:20:35.159311 2017-08-19 09:20:35.159311 1
6 6 19 0 0 5 5 2017-09-02 10:19:32.568313 2017-09-02 10:19:32.568313 1
\.
--
-- Name: notifications_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('notifications_id_seq', 6, true);
--
-- Data for Name: parameters; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY parameters (id, category_name, key_name, key_type, key_value, created_at, updated_at, updated_by_user_id) FROM stdin;
1 periodicidades unica_vez integer 1 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
2 periodicidades diario integer 2 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
3 periodicidades semanal integer 3 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
4 periodicidades mensal integer 4 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
5 periodicidades anual integer 5 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
6 meses janeiro integer 1 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
7 meses fevereiro integer 2 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
8 meses marco integer 3 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
9 meses abril integer 4 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
10 meses maio integer 5 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
11 meses junho integer 6 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
12 meses julho integer 7 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
13 meses agosto integer 8 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
14 meses setembro integer 9 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
15 meses outubro integer 10 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
16 meses novembro integer 11 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
17 meses dezembro integer 12 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
18 tipos_notificacoes aviso_impresso integer 1 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
19 tipos_notificacoes e-mail integer 2 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
20 tipos_notificacoes mensagem_movel integer 3 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
21 tipos_notificacoes aviso_pop_up integer 4 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
22 unidades_tempo minuto integer 1 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
23 unidades_tempo hora integer 2 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
24 unidades_tempo dia integer 3 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
25 unidades_tempo semana integer 4 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
26 unidades_tempo mes integer 5 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
27 unidades_tempo ano integer 6 2017-08-19 09:19:17.796554 2017-08-19 09:19:17.796554 1
\.
--
-- Name: parameters_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('parameters_id_seq', 27, true);
--
-- Data for Name: places; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY places (id, company_id, name, description, created_at, updated_at, updated_by_user_id) FROM stdin;
1 1 Banheiro Feminino Banheiro Feminino no Térreo. 2017-08-19 09:19:23.066624 2017-08-19 09:19:23.066624 1
2 1 Recepção \N 2017-08-19 09:19:53.338071 2017-09-23 10:12:22.316121 1
\.
--
-- Name: places_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('places_id_seq', 2, true);
--
-- Data for Name: seeds; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY seeds (seed_version, created_at) FROM stdin;
00001_create_company_and_user 2017-08-19 09:19:13.457107
00002_create_parameters 2017-08-19 09:19:17.796554
00003_create_place_banheiro_feminino 2017-08-19 09:19:23.066624
00004_create_users_fernando_silva_and_luis_fernando_lftec 2017-08-19 09:19:33.252524
00005_create_task_check_conferir_banheiro_feminino 2017-08-19 09:19:39.312127
\.
--
-- Data for Name: task_checks; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY task_checks (id, name, description, place_id, user_checker_id, periodicity_id, starts_at, ends_at, repeats_every, created_at, updated_at, updated_by_user_id, active) FROM stdin;
1 Conferir sabonete líquido do banheiro feminino Conferir se foi completado até a tampa o sabone líquido do banheiro feminino. 1 2 3 2017-05-24 \N 1 2017-08-19 09:19:39.312127 2017-08-19 09:19:39.312127 1 t
2 Conferir relógio de força Conferir marcação de consumo de energia elétrica 2 vezes por mês. 2 2 4 2017-07-09 \N 1 2017-08-19 09:19:53.338071 2017-08-19 09:19:53.338071 1 t
3 Conferir se compraram um aquecedor de ambiente Conferir se compraram um aquecedor de ambiente da marca Delonghi modelo DCH 5090 de 127V. 2 2 1 2017-07-29 \N 1 2017-08-19 09:20:14.353154 2017-08-19 09:20:14.353154 1 t
4 Verificar se o Backup foi feito automaticamente \N 2 2 2 2017-07-29 \N 1 2017-08-19 09:20:31.076926 2017-08-19 09:20:31.076926 1 t
5 Verificar se a escala de ferias Verificar se a escala de ferias dos funcionarios estah pronta e correta. 2 2 5 2016-07-29 \N 1 2017-08-19 09:20:35.159311 2017-08-19 09:20:35.159311 1 t
6 testes Funções DEV 2 Testes Funções Diário 1 2 1 2017-07-01 \N 1 2017-09-02 10:19:32.568313 2017-09-02 10:19:32.568313 1 t
\.
--
-- Name: task_checks_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('task_checks_id_seq', 6, true);
--
-- Data for Name: teste; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY teste (id, nome) FROM stdin;
\.
--
-- Data for Name: users; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY users (id, user_name, password, name, email, mobile_message, cpf, administrator, company_id, created_at, updated_at, updated_by_user_id) FROM stdin;
1 luisfernandoweb b0c36fd6b5254cbf5665d7e414fd0ee2 Luís Fernando luisfernandoweb@gmail.com +5519994230576 13742083880 t 1 2017-08-19 09:19:13.457107 2017-08-19 09:19:13.457107 1
2 fsilvapucci b0c36fd6b5254cbf5665d7e414fd0ee2 Fernando Silva fsilvapucci@gmail.com +553599915534 42231452588 f 1 2017-08-19 09:19:33.252524 2017-08-19 09:19:33.252524 1
3 adm.lftec b0c36fd6b5254cbf5665d7e414fd0ee2 Luís Fernando LFTEC adm.lftec@gmail.com +551981387022 47673425548 f 1 2017-08-19 09:19:33.252524 2017-08-19 09:19:33.252524 1
\.
--
-- Name: users_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('users_id_seq', 3, true);
--
-- Data for Name: weeks_days; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY weeks_days (id, task_check_id, sunday, monday, tuesday, wednesday, thursday, friday, saturday, created_at, updated_at, updated_by_user_id) FROM stdin;
1 1 f t t t t t f 2017-08-19 09:19:39.312127 2017-08-19 09:19:39.312127 1
2 6 t t t t t t t 2017-09-02 10:19:32.568313 2017-09-02 10:19:32.568313 1
\.
--
-- Name: weeks_days_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('weeks_days_id_seq', 2, true);
--
-- Name: auditions auditions_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY auditions
ADD CONSTRAINT auditions_pkey PRIMARY KEY (id);
--
-- Name: audition_tables auditions_tables_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY audition_tables
ADD CONSTRAINT auditions_tables_pkey PRIMARY KEY (table_name);
--
-- Name: companies companies_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY companies
ADD CONSTRAINT companies_pkey PRIMARY KEY (id);
--
-- Name: days_times days_times_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY days_times
ADD CONSTRAINT days_times_pkey PRIMARY KEY (id);
--
-- Name: days_times days_times_task_check_id_hour_uk; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY days_times
ADD CONSTRAINT days_times_task_check_id_hour_uk UNIQUE (task_check_id, hour);
--
-- Name: migrations db_version; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY migrations
ADD CONSTRAINT db_version PRIMARY KEY (db_version);
--
-- Name: execution_queue execution_queue_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY execution_queue
ADD CONSTRAINT execution_queue_pkey PRIMARY KEY (id);
--
-- Name: months_days months_days_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY months_days
ADD CONSTRAINT months_days_pkey PRIMARY KEY (id);
--
-- Name: months_days months_days_task_check_id_month_day_uk; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY months_days
ADD CONSTRAINT months_days_task_check_id_month_day_uk UNIQUE (task_check_id, month_day);
--
-- Name: notifications notification_id; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY notifications
ADD CONSTRAINT notification_id PRIMARY KEY (id);
--
-- Name: parameters parameters_category_name_key_name_uk; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY parameters
ADD CONSTRAINT parameters_category_name_key_name_uk UNIQUE (category_name, key_name);
--
-- Name: parameters parameters_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY parameters
ADD CONSTRAINT parameters_pkey PRIMARY KEY (id);
--
-- Name: places places_company_id_name_uk; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY places
ADD CONSTRAINT places_company_id_name_uk UNIQUE (company_id, name);
--
-- Name: places places_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY places
ADD CONSTRAINT places_pkey PRIMARY KEY (id);
--
-- Name: seeds seed_version; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY seeds
ADD CONSTRAINT seed_version PRIMARY KEY (seed_version);
--
-- Name: task_checks task_checks_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY task_checks
ADD CONSTRAINT task_checks_pkey PRIMARY KEY (id);
--
-- Name: users users_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users
ADD CONSTRAINT users_pkey PRIMARY KEY (id);
--
-- Name: users users_user_name_uk; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users
ADD CONSTRAINT users_user_name_uk UNIQUE (user_name);
--
-- Name: weeks_days weeks_days_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY weeks_days
ADD CONSTRAINT weeks_days_pkey PRIMARY KEY (id);
--
-- Name: weeks_days weeks_days_task_check_id; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY weeks_days
ADD CONSTRAINT weeks_days_task_check_id UNIQUE (task_check_id);
--
-- Name: auditions_updated_by_user_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX auditions_updated_by_user_id ON auditions USING btree (updated_by_user_id);
--
-- Name: auditorias_created_at; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX auditorias_created_at ON auditions USING btree (created_at);
--
-- Name: auditorias_primary_key; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX auditorias_primary_key ON auditions USING btree (primary_key);
--
-- Name: days_times_idx; Type: INDEX; Schema: public; Owner: postgres
--
CREATE UNIQUE INDEX days_times_idx ON days_times USING btree (task_check_id, hour, minute);
--
-- Name: execucao_fila_next_execution; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX execucao_fila_next_execution ON execution_queue USING btree (next_execution);
--
-- Name: months_days_idx; Type: INDEX; Schema: public; Owner: postgres
--
CREATE UNIQUE INDEX months_days_idx ON months_days USING btree (task_check_id, month_day);
--
-- Name: task_checks_ends_at; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX task_checks_ends_at ON task_checks USING btree (ends_at);
--
-- Name: task_checks_name; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX task_checks_name ON task_checks USING btree (name);
--
-- Name: task_checks_starts_at; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX task_checks_starts_at ON task_checks USING btree (starts_at);
--
-- Name: task_checks_updated_by_user_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX task_checks_updated_by_user_id ON task_checks USING btree (updated_by_user_id);
--
-- Name: task_checks_user_checker_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX task_checks_user_checker_id ON task_checks USING btree (user_checker_id);
--
-- Name: weeks_days_idx; Type: INDEX; Schema: public; Owner: postgres
--
CREATE UNIQUE INDEX weeks_days_idx ON weeks_days USING btree (task_check_id);
--
-- Name: audition_tables audition_tables_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER audition_tables_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON audition_tables FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: audition_tables audition_tables_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER audition_tables_before_update_updated_at BEFORE UPDATE ON audition_tables FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: companies companies_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER companies_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON companies FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: companies companies_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER companies_before_update_updated_at BEFORE UPDATE ON companies FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: days_times days_times_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER days_times_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON days_times FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: days_times days_times_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER days_times_update_updated_at BEFORE UPDATE ON days_times FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: execution_queue execution_queue_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER execution_queue_audition_trigger AFTER DELETE ON execution_queue FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: execution_queue execution_queue_delete_after_update_executed_sets_true; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER execution_queue_delete_after_update_executed_sets_true AFTER UPDATE ON execution_queue FOR EACH ROW EXECUTE PROCEDURE execution_queue_delete_after_update_executed_sets_true();
--
-- Name: months_days months_days_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER months_days_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON months_days FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: months_days months_days_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER months_days_before_update_updated_at BEFORE UPDATE ON months_days FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: notifications notifications_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER notifications_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON notifications FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: notifications notifications_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER notifications_before_update_updated_at BEFORE UPDATE ON notifications FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: parameters parameters_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER parameters_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON parameters FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: parameters parameters_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER parameters_before_update_updated_at BEFORE UPDATE ON parameters FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: places places_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER places_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON places FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: places places_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER places_before_update_updated_at BEFORE UPDATE ON places FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: task_checks task_checks_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER task_checks_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON task_checks FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: task_checks task_checks_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER task_checks_before_update_updated_at BEFORE UPDATE ON task_checks FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: users users_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER users_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON users FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: users users_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER users_before_update_updated_at BEFORE UPDATE ON users FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: weeks_days weeks_days_audition_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER weeks_days_audition_trigger AFTER INSERT OR DELETE OR UPDATE ON weeks_days FOR EACH ROW EXECUTE PROCEDURE log_it();
--
-- Name: weeks_days weeks_days_before_update_updated_at; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER weeks_days_before_update_updated_at BEFORE UPDATE ON weeks_days FOR EACH ROW EXECUTE PROCEDURE before_update_updated_at();
--
-- Name: places companies_places_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY places
ADD CONSTRAINT companies_places_fk FOREIGN KEY (company_id) REFERENCES companies(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: users companies_users_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users
ADD CONSTRAINT companies_users_fk FOREIGN KEY (company_id) REFERENCES companies(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: notifications parameters_notifications_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY notifications
ADD CONSTRAINT parameters_notifications_fk FOREIGN KEY (notification_type_id) REFERENCES parameters(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: task_checks parameters_periodicity_task_checks_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY task_checks
ADD CONSTRAINT parameters_periodicity_task_checks_fk FOREIGN KEY (periodicity_id) REFERENCES parameters(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: task_checks places_task_checks_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY task_checks
ADD CONSTRAINT places_task_checks_fk FOREIGN KEY (place_id) REFERENCES places(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: days_times task_checks_days_times_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY days_times
ADD CONSTRAINT task_checks_days_times_fk FOREIGN KEY (task_check_id) REFERENCES task_checks(id) ON UPDATE RESTRICT ON DELETE CASCADE;
--
-- Name: execution_queue task_checks_execution_queue_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY execution_queue
ADD CONSTRAINT task_checks_execution_queue_fk FOREIGN KEY (task_check_id) REFERENCES task_checks(id) ON UPDATE RESTRICT ON DELETE CASCADE;
--
-- Name: months_days task_checks_months_days_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY months_days
ADD CONSTRAINT task_checks_months_days_fk FOREIGN KEY (task_check_id) REFERENCES task_checks(id) ON UPDATE RESTRICT ON DELETE CASCADE;
--
-- Name: notifications task_checks_notifications_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY notifications
ADD CONSTRAINT task_checks_notifications_fk FOREIGN KEY (task_check_id) REFERENCES task_checks(id) ON UPDATE RESTRICT ON DELETE CASCADE;
--
-- Name: weeks_days task_checks_weeks_days_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY weeks_days
ADD CONSTRAINT task_checks_weeks_days_fk FOREIGN KEY (task_check_id) REFERENCES task_checks(id) ON UPDATE RESTRICT ON DELETE CASCADE;
--
-- Name: companies users_companies_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY companies
ADD CONSTRAINT users_companies_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: days_times users_days_times_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY days_times
ADD CONSTRAINT users_days_times_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: months_days users_months_days_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY months_days
ADD CONSTRAINT users_months_days_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: notifications users_notifications_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY notifications
ADD CONSTRAINT users_notifications_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: parameters users_periodicities_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY parameters
ADD CONSTRAINT users_periodicities_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: places users_places_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY places
ADD CONSTRAINT users_places_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: places users_places_fk1; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY places
ADD CONSTRAINT users_places_fk1 FOREIGN KEY (updated_by_user_id) REFERENCES users(id);
--
-- Name: task_checks users_task_checks_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY task_checks
ADD CONSTRAINT users_task_checks_fk FOREIGN KEY (user_checker_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: task_checks users_task_checks_fk1; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY task_checks
ADD CONSTRAINT users_task_checks_fk1 FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- Name: weeks_days users_weeks_days_fk; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY weeks_days
ADD CONSTRAINT users_weeks_days_fk FOREIGN KEY (updated_by_user_id) REFERENCES users(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
--
-- PostgreSQL database dump complete
--
\connect postgres
SET default_transaction_read_only = off;
--
-- PostgreSQL database dump
--
-- Dumped from database version 9.6.3
-- Dumped by pg_dump version 9.6.3
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET row_security = off;
--
-- Name: postgres; Type: COMMENT; Schema: -; Owner: postgres
--
COMMENT ON DATABASE postgres IS 'default administrative connection database';
--
-- Name: plpgsql; Type: EXTENSION; Schema: -; Owner:
--
CREATE EXTENSION IF NOT EXISTS plpgsql WITH SCHEMA pg_catalog;
--
-- Name: EXTENSION plpgsql; Type: COMMENT; Schema: -; Owner:
--
COMMENT ON EXTENSION plpgsql IS 'PL/pgSQL procedural language';
--
-- PostgreSQL database dump complete
--
\connect template1
SET default_transaction_read_only = off;
--
-- PostgreSQL database dump
--
-- Dumped from database version 9.6.3
-- Dumped by pg_dump version 9.6.3
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET row_security = off;
--
-- Name: template1; Type: COMMENT; Schema: -; Owner: postgres
--
COMMENT ON DATABASE template1 IS 'default template for new databases';
--
-- Name: plpgsql; Type: EXTENSION; Schema: -; Owner:
--
CREATE EXTENSION IF NOT EXISTS plpgsql WITH SCHEMA pg_catalog;
--
-- Name: EXTENSION plpgsql; Type: COMMENT; Schema: -; Owner:
--
COMMENT ON EXTENSION plpgsql IS 'PL/pgSQL procedural language';
--
-- PostgreSQL database dump complete
--
--
-- PostgreSQL database cluster dump complete
--
|
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].Contacts(
[Id] [int] NOT NULL,
[Name] [nvarchar](255)
CONSTRAINT [PK_Contacts] PRIMARY KEY CLUSTERED
(
[Id] ASC
) WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
|
-- phpMyAdmin SQL Dump
-- version 5.1.0
-- https://www.phpmyadmin.net/
--
-- Host: localhost
-- Generation Time: Jun 02, 2021 at 07:22 PM
-- Server version: 10.4.18-MariaDB
-- PHP Version: 7.4.18
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `youtube_codeigniter3_agencywebsite`
--
-- --------------------------------------------------------
--
-- Table structure for table `portfolios`
--
CREATE TABLE `portfolios` (
`id` int(11) NOT NULL,
`cat_id` int(11) NOT NULL,
`project_name` varchar(255) NOT NULL,
`project_desc` text NOT NULL,
`client_name` varchar(200) NOT NULL,
`project_date` int(11) NOT NULL,
`project_link` text NOT NULL,
`sort_order` int(11) NOT NULL,
`status` int(11) NOT NULL,
`timestamp` int(11) NOT NULL,
`mod_timestamp` int(11) NOT NULL,
`etms` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `portfolio_categories`
--
CREATE TABLE `portfolio_categories` (
`id` int(11) NOT NULL,
`cat_name` varchar(255) NOT NULL,
`sort_order` int(11) NOT NULL,
`status` int(11) NOT NULL,
`timestamp` int(11) NOT NULL,
`mod_timestamp` int(11) NOT NULL,
`etms` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `portfolio_media`
--
CREATE TABLE `portfolio_media` (
`id` int(11) NOT NULL,
`pid` int(11) NOT NULL,
`media_type` varchar(5) NOT NULL COMMENT 'IMG = Image, VID = Video',
`media_content` text NOT NULL,
`sort_order` int(11) NOT NULL,
`status` int(11) NOT NULL,
`timestamp` int(11) NOT NULL,
`mod_timestamp` int(11) NOT NULL,
`etms` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `team`
--
CREATE TABLE `team` (
`id` int(11) NOT NULL,
`full_name` varchar(255) NOT NULL,
`designation` varchar(255) NOT NULL,
`fb_link` text NOT NULL,
`ln_link` text NOT NULL,
`tw_link` text NOT NULL,
`about_me` text NOT NULL,
`profile_photo` text NOT NULL,
`sort_order` int(11) NOT NULL,
`status` int(11) NOT NULL,
`timestamp` int(11) NOT NULL,
`mod_timestamp` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `team`
--
INSERT INTO `team` (`id`, `full_name`, `designation`, `fb_link`, `ln_link`, `tw_link`, `about_me`, `profile_photo`, `sort_order`, `status`, `timestamp`, `mod_timestamp`) VALUES
(2, 'Dhananjay Vaidya', 'Founder', 'http://facebook.com/abc', 'https://linkedin.com/abc', 'https://twitter.com/tec', 'about dhananjay', 'uploads/teams/check.png', 0, 1, 1621326786, 1621910197),
(3, 'Demo user', 'demo', 'mddm', 'mdmdm', 'mdmmd', 'mdmd', 'uploads/teams/logo.png', 0, 1, 1621327018, 1621327018);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` int(11) NOT NULL,
`first_name` varchar(255) NOT NULL,
`last_name` varchar(255) NOT NULL,
`email_id` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL,
`role` varchar(20) NOT NULL,
`account_status` int(11) NOT NULL,
`timestamp` int(11) NOT NULL,
`mod_timestamp` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `first_name`, `last_name`, `email_id`, `password`, `role`, `account_status`, `timestamp`, `mod_timestamp`) VALUES
(1, 'Admin', 'Admin', 'admin@demo.com', '40bd001563085fc35165329ea1ff5c5ecbdbbeef', 'SUADMIN', 1, 1621300243, 1621300243);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `portfolios`
--
ALTER TABLE `portfolios`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `portfolio_categories`
--
ALTER TABLE `portfolio_categories`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `portfolio_media`
--
ALTER TABLE `portfolio_media`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `team`
--
ALTER TABLE `team`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `email_id` (`email_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `portfolios`
--
ALTER TABLE `portfolios`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `portfolio_categories`
--
ALTER TABLE `portfolio_categories`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `portfolio_media`
--
ALTER TABLE `portfolio_media`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `team`
--
ALTER TABLE `team`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
select t1."user_id", t1."auth_token", t2."username"
from "t_auth_token" as t1 join "t_user" as t2 on t1."user_id" = t2."id"
order by 3, 1, 2;
|
-- start_ignore
SET gp_create_table_random_default_distribution=off;
-- end_ignore
alter table pg2_co_table_for_alter_a0 set tablespace pg2_co_ts2_a0;
|
--
-- Star Schema Design
--
CREATE DATABASE dwm_exp2_star;
CREATE TABLE `sales` (
time_id INT,
item_id INT,
location_id INT,
branch_id INT,
sale_id INT PRIMARY KEY AUTO_INCREMENT,
total_items_sold INT,
total_sale_amt INT,
total_discount INT,
CONSTRAINT FK_SalesTime FOREIGN KEY (`time_id`) REFERENCES `time`(`time_id`),
CONSTRAINT FK_SalesItem FOREIGN KEY (`item_id`) REFERENCES `item`(`item_id`),
CONSTRAINT FK_SalesLocation FOREIGN KEY (`location_id`) REFERENCES `location`(`location_id`),
CONSTRAINT FK_SalesBranch FOREIGN KEY (`branch_id`) REFERENCES `branch`(`branch_id`)
);
CREATE TABLE `time` (
time_id INT PRIMARY KEY AUTO_INCREMENT,
day INT,
month INT,
year INT,
quarter TINYINT
);
CREATE TABLE `item` (
item_id INT PRIMARY KEY AUTO_INCREMENT,
brand VARCHAR(50),
name VARCHAR(50),
category VARCHAR(50),
price INT,
discounted_price INT
);
CREATE TABLE `location` (
location_id INT PRIMARY KEY AUTO_INCREMENT,
country VARCHAR(50),
state VARCHAR(50),
city VARCHAR(50),
district VARCHAR(50)
);
CREATE TABLE `branch` (
branch_id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(100),
address VARCHAR(100)
);
--
-- Snowflake Schema Design
--
CREATE DATABASE dwm_exp2_snowflake;
CREATE TABLE `sales` (
time_id INT,
item_id INT,
location_id INT,
branch_id INT,
sale_id INT PRIMARY KEY AUTO_INCREMENT,
total_items_sold INT,
total_sale_amt INT,
total_discount INT,
CONSTRAINT FK_SalesTime FOREIGN KEY (`time_id`) REFERENCES `time`(`time_id`),
CONSTRAINT FK_SalesItem FOREIGN KEY (`item_id`) REFERENCES `item`(`item_id`),
CONSTRAINT FK_SalesLocation FOREIGN KEY (`location_id`) REFERENCES `location`(`location_id`),
CONSTRAINT FK_SalesBranch FOREIGN KEY (`branch_id`) REFERENCES `branch`(`branch_id`)
);
CREATE TABLE `time` (
time_id INT PRIMARY KEY AUTO_INCREMENT,
day INT,
month INT,
year INT,
quarter TINYINT
);
CREATE TABLE `brand` (
brand_id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(100)
);
CREATE TABLE `category` (
category_id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(100),
code INT
);
CREATE TABLE `item` (
item_id INT PRIMARY KEY AUTO_INCREMENT,
brand_id INT,
name VARCHAR(50),
category_id INT,
price INT,
discounted_price INT,
CONSTRAINT FK_ItemCategory FOREIGN KEY (`category_id`) REFERENCES `category`(`category_id`),
CONSTRAINT FK_ItemBrand FOREIGN KEY (`brand_id`) REFERENCES `brand`(`brand_id`)
);
CREATE TABLE `country` (
country_id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(50),
code INT
);
CREATE TABLE `location` (
location_id INT PRIMARY KEY AUTO_INCREMENT,
country_id INT,
state VARCHAR(50),
city VARCHAR(50),
district VARCHAR(50),
CONSTRAINT FK_LocationCountry FOREIGN KEY (`country_id`) REFERENCES `country`(`country_id`)
);
CREATE TABLE `branch` (
branch_id INT PRIMARY KEY AUTO_INCREMENT,
name INT,
address VARCHAR(100)
);
|
--needs column/column filter, left join
-- CREATE VIEW replying_comments_for_count AS \
-- '"SELECT read_ribbons.user_id, read_ribbons.story_id, comments.id \
-- FROM read_ribbons \
-- JOIN stories ON (read_ribbons.story_id = stories.id) \
-- JOIN comments ON (read_ribbons.story_id = comments.story_id) \
-- LEFT JOIN comments AS parent_comments \
-- ON (comments.parent_comment_id = parent_comments.id) \
-- WHERE read_ribbons.is_following = 1 \
-- AND comments.user_id != read_ribbons.user_id \
-- AND comments.is_deleted = 0 \
-- AND comments.is_moderated = 0 \
-- AND ( comments.upvotes - comments.downvotes ) >= 0 \
-- AND read_ribbons.updated_at < comments.created_at \
-- AND ( \
-- ( \
-- parent_comments.user_id = read_ribbons.user_id \
-- AND \
-- ( parent_comments.upvotes - parent_comments.downvotes ) >= 0 \
-- ) \
-- OR \
-- ( \
-- parent_comments.id IS NULL \
-- AND \
-- stories.user_id = read_ribbons.user_id \
-- ) \
-- )"';
@CREATE VIEW q1 AS '"SELECT 1 AS `one` FROM users WHERE users.PII_username = ?"';
@CREATE VIEW q2 AS '"SELECT 1 AS `one` FROM stories WHERE stories.short_id = ?"';
@CREATE VIEW q3 AS '"SELECT tags.* FROM tags WHERE tags.inactive = 0 AND tags.tag = ?"';
--needs support for `key` column names (backticks to escape keywords)
@CREATE VIEW q4 AS '"SELECT keystores.* FROM keystores WHERE keystores.keyX = ?"';
@CREATE VIEW q5 AS '"SELECT votes.* FROM votes WHERE votes.OWNER_user_id = ? AND votes.story_id = ? AND votes.comment_id IS NULL"';
CREATE VIEW q6 AS '"SELECT comments.upvotes, comments.downvotes FROM comments JOIN stories ON comments.story_id = stories.id WHERE comments.story_id = ? AND comments.user_id != stories.user_id"';
@CREATE VIEW q7 AS '"SELECT stories.* FROM stories WHERE stories.short_id = ?"';
@CREATE VIEW q8 AS '"SELECT users.* FROM users WHERE users.id = ?"';
@CREATE VIEW q9 AS '"SELECT 1 AS `one`, short_id FROM comments WHERE comments.short_id = ?"';
@CREATE VIEW q10 AS '"SELECT votes.* FROM votes WHERE votes.OWNER_user_id = ? AND votes.story_id = ? AND votes.comment_id = ?"';
CREATE VIEW q11 AS '"SELECT stories.id FROM stories WHERE stories.merged_story_id = ?"';
CREATE VIEW q12 AS '"SELECT comments.*, comments.upvotes - comments.downvotes AS saldo FROM comments WHERE comments.story_id = ? ORDER BY saldo ASC, confidence DESC"';
CREATE VIEW q13 AS '"SELECT tags.* FROM tags INNER JOIN taggings ON tags.id = taggings.tag_id WHERE taggings.story_id = ?"';
@CREATE VIEW q14 AS '"SELECT comments.* FROM comments WHERE comments.story_id = ? AND comments.short_id = ?"';
@CREATE VIEW q15 AS '"SELECT read_ribbons.* FROM read_ribbons WHERE read_ribbons.user_id = ? AND read_ribbons.story_id = ?"';
--rewrote net_votes as arith expr in the WHERE clause
CREATE VIEW q16 AS '"SELECT stories.* FROM stories WHERE stories.merged_story_id IS NULL AND stories.is_expired = 0 AND stories.upvotes - stories.downvotes >= 0 ORDER BY hotness ASC LIMIT 51"';
CREATE VIEW q17 AS '"SELECT votes.* FROM votes WHERE votes.comment_id = ?"';
@CREATE VIEW q18 AS '"SELECT hidden_stories.story_id FROM hidden_stories WHERE hidden_stories.user_id = ?"';
@CREATE VIEW q19 AS '"SELECT users.* FROM users WHERE users.PII_username = ?"';
@CREATE VIEW q20 AS '"SELECT hidden_stories.* FROM hidden_stories WHERE hidden_stories.user_id = ? AND hidden_stories.story_id = ?"';
@CREATE VIEW q21 AS '"SELECT tag_filters.* FROM tag_filters WHERE tag_filters.user_id = ?"';
CREATE VIEW q22 AS '"SELECT tags.id, count(*) AS `count` FROM tags INNER JOIN taggings ON tags.id = taggings.tag_id INNER JOIN stories ON taggings.story_id = stories.id WHERE tags.inactive = 0 AND stories.user_id = ? GROUP BY tags.id ORDER BY `count` DESC LIMIT 1"';
@CREATE VIEW q23 AS '"SELECT taggings.story_id FROM taggings WHERE taggings.story_id = ?"';
@CREATE VIEW q24 AS '"SELECT saved_stories.* FROM saved_stories WHERE saved_stories.user_id = ? AND saved_stories.story_id = ?"';
CREATE VIEW q25 AS '"SELECT suggested_titles.* FROM suggested_titles WHERE suggested_titles.story_id = ?"';
CREATE VIEW q26 AS '"SELECT taggings.* FROM taggings WHERE taggings.story_id = ?"';
CREATE VIEW q27 AS '"SELECT 1 AS `one` FROM hats WHERE hats.OWNER_user_id = ? LIMIT 1"';
CREATE VIEW q28 AS '"SELECT suggested_taggings.* FROM suggested_taggings WHERE suggested_taggings.story_id = ?"';
CREATE VIEW q29 AS '"SELECT tags.* FROM tags WHERE tags.id = ?"';
CREATE VIEW q30 AS '"SELECT comments.* FROM comments WHERE comments.is_deleted = 0 AND comments.is_moderated = 0 ORDER BY id DESC LIMIT 40"';
@CREATE VIEW q31 AS '"SELECT 1 FROM hidden_stories WHERE hidden_stories.user_id = ? AND hidden_stories.story_id = ?"';
CREATE VIEW q32 AS '"SELECT stories.* FROM stories WHERE stories.id = ?"';
@CREATE VIEW q33 AS '"SELECT votes.* FROM votes WHERE votes.OWNER_user_id = ? AND votes.comment_id = ?"';
@CREATE VIEW q34 AS '"SELECT comments.* FROM comments WHERE comments.short_id = ?"';
CREATE VIEW q35 AS '"SELECT stories.* FROM stories WHERE stories.merged_story_id IS NULL AND stories.is_expired = 0 AND stories.upvotes - stories.downvotes <= 5 ORDER BY id DESC LIMIT 51"';
--needs the big matview
CREATE VIEW q36 AS '"SELECT COUNT(*) FROM replying_comments_for_count WHERE replying_comments_for_count.user_id = ?"';
@CREATE VIEW q37 AS '"SELECT users.* FROM users WHERE users.id = ?"';
|
INSERT INTO met_column VALUES('1','关于我们','about','','0','0','1','0','0','0','1','','','','','1','0','1','','2','0','','','0','cn','','0','0');
INSERT INTO met_column VALUES('2','新闻资讯','news','','0','0','2','1','0','0','1','','','','','0','','1','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('3','产品展示','product','','0','0','3','2','0','0','1','','','','','1','0','1','','1','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('4','公司动态','news','','2','0','2','1','0','0','2','','','','','0','','2','','3','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('5','业界资讯','news','','2','0','2','2','0','0','0','','','','','0','','2','','4','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('6','饰品珠宝','product','','3','0','3','1','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('7','数码家电','product','','3','0','3','2','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('8','家具建材','product','','3','0','3','3','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('9','交通工具','product','','3','0','3','4','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('12','图书音像','product','','3','0','3','7','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('14','流行饰品','product','','6','0','3','0','0','0','0','','','','','0','','3','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('15','太阳镜','product','','6','0','3','0','0','0','0','','','','','0','','3','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('16','品牌手表','product','','6','0','3','0','0','0','0','','','','','0','','3','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('17','太阳镜','product','','6','0','3','0','0','0','0','','','','','0','','3','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('18','Zippo/烟具','product','','6','0','3','0','0','0','0','','','','','0','','3','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('19','公司简介','about','','1','0','1','1','0','0','0','','','<div>
<span style=\"line-height: 2;\"><img alt=\"\" src=\"web_metinfo_urlupload/images/20120716_133022.gif\" style=\"width: 200px; height: 200px; margin: 15px; float: right;\" /> 我们专注于网络信息化及网络营销领域，通过整合团队专业的市场营销理念与网络技术为客户提供优质的网络营销服务。</span></div>
<div>
</div>
<div>
我们的主要业务包括：网站系统开发、网站建设、网站推广、空间域名以及网络营销策划与运行。</div>
<div>
</div>
<div>
我们主打产品——MetInfo企业网站管理系统采用PHP+Mysql架构，全站内置了SEO搜索引擎优化机制，支持用户自定义界面语言，拥有企业网站常用的模块功能（企业简介模块、新闻模块、产品模块、下载模块、图片模块、招聘模块、在线留言、反馈系统、在线交流、友情链接、会员与权限管理）。强大灵活的后台管理功能、静态页面生成功能、个性化模块添加功能、不同栏目自定义FLASH样式功能等可为企业打造出大气漂亮且具有营销力的精品网站。</div>
<div>
</div>
<div>
我们秉承“为合作伙伴创造价值”的核心价值观，并以“诚实、宽容、创新、服务”为企业精神，通过自主创新和真诚合作为电子商务及信息服务行业创造价值。</div>
<div>
</div>
<div>
<span style=\"line-height: 2;\"> </span><strong><span style=\"font-size: 13px\">关于“为合作伙伴创造价值”</span></strong></div>
<div>
我们认为客户、供应商、公司股东、公司员工等一切和自身有合作关系的单位和个人都是自己的合作伙伴，并只有通过努力为合作伙伴创造价值，才能体现自身的价值并获得发展和成功。</div>
<div>
</div>
<div>
<span style=\"line-height: 2;\"> </span><strong><span style=\"font-size: 13px\">关于“诚实、宽容、创新、服务”</span></strong></div>
<div>
我们认为诚信是一切合作的基础，宽容是解决问题的前提，创新是发展事业的利器，服务是创造价值的根本。</div>
','','1','0','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('31','在线反馈','feedback','','1','0','8','3','0','0','2','','','','','0','','2','','0','0','','','1','cn','','1','0');
INSERT INTO met_column VALUES('22','联系我们','about','联系方式','1','0','1','11','0','0','1','','','<div>
<strong><span style=\"font-size:14px;\"><img alt=\"\" src=\"web_metinfo_urlupload/images/20131228_153538.jpg\" style=\"width: 245px; height: 230px; float: left; margin: 10px 30px;\" /></span></strong></div>
<div>
</div>
<div>
<strong><span style=\"font-size:14px;\">某某有限公司</span></strong></div>
<div>
地址：XX市XX区XXX号XXX栋XXX房</div>
<div>
电话：0000-888888 13300000000</div>
<div>
Q Q：000000 000000 000000</div>
<div>
邮编：000000</div>
<div>
邮箱：admin@admin.cn</div>
<div>
网址：www.000000.cn</div>
','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('25','在线留言','message','','1','0','7','2','0','0','2','','','','','0','','2','','0','0','','','1','cn','','1','0');
INSERT INTO met_column VALUES('32','下载中心','download','','0','0','4','3','0','0','1','','','','','0','','1','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('33','客户案例','case','','0','0','5','4','0','0','1','','','','','0','','1','','6','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('34','软件下载','download','','32','0','4','0','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('35','文件下载','download','','32','0','4','0','0','0','0','','','','','0','','2','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('36','招贤纳士','job','','0','0','6','5','0','0','1','','','','','0','','1','','5','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('37','友情链接','link','','0','0','9','6','0','0','2','','','','','0','','1','','7','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('38','会员中心','member','','0','0','10','7','0','0','2','','','','','0','','1','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('39','站内搜索','search','','0','0','11','8','0','0','2','','','','','0','','1','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('40','网站地图','sitemap','','0','0','12','9','0','0','2','','','','','0','','1','','0','0','','','1','cn','','0','0');
INSERT INTO met_column VALUES('41','网站管理','','','0','0','0','10','0','1','2','','','','','0','','1','web_metinfo_urladmin/','0','0','','','1','cn','','0','0');
INSERT INTO met_config VALUES('374','metconfig_fd_content','','','25','0','cn');
INSERT INTO met_config VALUES('373','metconfig_fd_title','','','25','0','cn');
INSERT INTO met_config VALUES('372','metconfig_fd_back','1','','25','0','cn');
INSERT INTO met_config VALUES('371','metconfig_fd_to','','','25','0','cn');
INSERT INTO met_config VALUES('370','metconfig_fd_type','1','','25','0','cn');
INSERT INTO met_config VALUES('369','metconfig_fd_email','','','25','0','cn');
INSERT INTO met_config VALUES('368','metconfig_fd_word','','','25','0','cn');
INSERT INTO met_config VALUES('367','metconfig_fd_time','120','','25','0','cn');
INSERT INTO met_config VALUES('375','metconfig_fd_ok','1','','25','0','cn');
INSERT INTO met_config VALUES('440','metconfig_fd_class','4','','31','0','cn');
INSERT INTO met_config VALUES('441','metconfig_fd_ok','1','','31','0','cn');
INSERT INTO met_config VALUES('438','metconfig_fd_content','','','31','0','cn');
INSERT INTO met_config VALUES('439','metconfig_fdtable','在线反馈','','31','0','cn');
INSERT INTO met_config VALUES('437','metconfig_fd_title','','','31','0','cn');
INSERT INTO met_config VALUES('436','metconfig_fd_email','7','','31','0','cn');
INSERT INTO met_config VALUES('435','metconfig_fd_back','','','31','0','cn');
INSERT INTO met_config VALUES('434','metconfig_fd_to','','','31','0','cn');
INSERT INTO met_config VALUES('433','metconfig_fd_type','1','','31','0','cn');
INSERT INTO met_config VALUES('432','metconfig_fd_word','','','31','0','cn');
INSERT INTO met_config VALUES('431','metconfig_fd_time','1','','31','0','cn');
INSERT INTO met_config VALUES('442','flash_10000','3|980|90|1','1|350','0','10000','cn');
INSERT INTO met_config VALUES('443','flash_10001','1|980|245|2','1|350','0','10001','cn');
INSERT INTO met_config VALUES('444','flash_1','3|980|90|1','1|350','0','1','cn');
INSERT INTO met_config VALUES('445','flash_14','3|980|90|1','1|350','0','14','cn');
INSERT INTO met_config VALUES('446','flash_15','3|980|90|1','1|350','0','15','cn');
INSERT INTO met_config VALUES('447','flash_16','3|980|90|1','1|350','0','16','cn');
INSERT INTO met_config VALUES('448','flash_17','3|980|90|1','1|350','0','17','cn');
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INSERT INTO met_job VALUES('5','电子商务专员','10','长沙市','面议','2012-07-16','0','<p><strong><span style=\"font-size:14px;\">主要工作内容：</span></strong>负责MetInfo企业网站管理系统在线销售工作，向客户提供迅速、准确、周到的服务。</p><div><strong><span style=\"font-size:14px;\">岗位要求：</span></strong></div><ol><li><span style=\"font-size:14px;\">熟悉互联网销售与推广；</span></li><li><span style=\"font-size:14px;\">能熟练操作网站管理系统后台，了解基本的建站知识；</span></li><li><span style=\"font-size:14px;\">能敏锐把握网站建设行业市场动向，善于把握客户心理；</span></li><li><span style=\"font-size:14px;\">沟通能力强，勤奋耐劳，办事认真严谨细致；</span></li><li><span style=\"font-size:14px;\">具有较强的学习能力，愿意同公司共同发展；</span></li><li><span style=\"font-size:14px;\">有网站建设相关产品工作经验者优先，电子商务、市场营销等相关专业优先。</span></li></ol>','0','0','0','0','','','cn','1');
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INSERT INTO met_news VALUES('1','为什么企业要建多国语言网站？','','','许多关键字搜索引擎，尤其是Google，在多语言开发方面能力优异。拥有多语言页面的网站能够最大限度的保障您的网站能够被众多搜索引擎检索并展示','<p><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>互联网在不断发展壮大，已成为企业和个人寻求生意机会，对商品、服务和信息进行了解的首选方式。从站在增强一个企业竞争优势的角度看，建设一个多语言网站是不断增加客户数量的前提和提高销售的高效手段。</p><div>随着国际化进程的不断加快，多语言网站将成为企业和组织必不可少的一部分。</div><div> </div><div><span style=\"font-size:14px;\"><strong> 多语言网站帮助企业面对众多的非英语国家互联网用户</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>随着时间变化，非英语国家互联网用户的比例已不断在攀升。相比以前由讲英语的用户控制互联网的局面已产生了根本改变。尼尔森集团(一个美国互联网研究咨询公司)在05年3月谈到：国外互联网市场是“将要成熟的果子”，只要你愿意付出较少的努力就能够得到巨大的收获。结果显示，互联网的增长在美国、德国、英国和瑞典趋于缓慢，在其他国家例如法国，香港、意大利和日本则增长显着。</div><div>尼尔森的一位高级分析员阐述：“最容易得到的机会是在这个国家的互联网使用习惯和用户(或站点)关系被确立之前。在当前成长阶段培养的客户将成为未来忠诚客户的基础。”多语言网站是企业有效的营销工具有能力对多数互联网用户用他们自己的语言进行沟通，这不仅仅意味着销售的增加，更可贵的是在当地市场建立起有关您的品牌、服务和产品的知晓。</div><div>建设多语言网站是一个非常伟大的计划，因为它很可能是企业进行市场营销，抓住新的用户，建立与新的客户关系和赋予企业品牌一个国际形象的最有效方式。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站能为企业带来新的顾客</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>通过把您的多语言网站暴露在各个国家，地区潜在的顾客面前，自然而然地您会获得这些本国语用户的注意。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站能够为企业增加销售</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>在网站上每增加一种语言都有可能潜在的提高一倍的销售额。即便只把网站建成只包含有西班牙语，法语，德语和意大利语这四种世界主要语言的网站，其销售额也有可能潜在的提升4倍。这是一种较少见的方式利用如此小的投资获得如此大的效果。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站能够传达以顾客为中心的服务意识</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>您的多语言网站显示出您为顾客思考。您以顾客为中心的思想及关爱顾客的努力将得到顾客的感激，因为您的这份额外的工作，他们将会更多的倾向于惠顾您的企业。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站能够获得更多的信任</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>许多通过互联网执行的交易往往由于彼此并不熟悉相互的语言而产生不同文化间的信任问题。提供给顾客多语言的选择帮助他们感到安全，确切地清楚他们在如何交易，与谁交易。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站帮助克服文化上的敏感</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>一个经过恰当设计的多语言网站，通过使用目标市场的本土语能够克服潜在的文化障碍。因为多语言网站自动为客户创造了“文化舒适区”，使他们能够自如地导航，了解网站信息，并与您展开互动。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站能够有效打击竞争者</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>获得竞争优势需要在当今的环境中跳出思维的框架。许多企业试图把自己与竞争者区别出来。观察您的竞争者，如果他们有多语种网站为什么您没有呢？假若他们没有，为什么不在他们之前主导这个市场首先建立你公司的品牌呢？</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong><span style=\"font-size:14px;\"><strong>多语言网站展示企业的国际性风范</strong></span></div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>一个多语种网站展示您的思想，经营及国际性的业务流程。国际性企业形象及行业领导地位由此树立多语言网站帮助面向不同地域国家的查寻引擎，搜索引擎会带着人们来到您的站点。然而在一些国家和地区有他们自己受欢迎的搜索引擎，主要是这些搜索引擎依据母语的使用习惯来工作，适应了人们的需要，所以获得了成功。这类搜索引擎引擎是开启本地市场的钥匙，除此之外，除非他们能够使用一种特定的语言(比如英语)否则很难找到您。</div><div> </div><div><strong style=\"font-size: 14px; line-height: 28px;\"> </strong>另外，许多关键字搜索引擎，尤其是Google，在多语言开发方面能力优异。拥有多语言页面的网站能够最大限度的保障您的网站能够被众多搜索引擎检索并展示。事务总是在不断地转移和变化。当前多语言网站仍处在早期阶段，许多跨国公司使用多语言网站来巩固其国际地位。然而，接下来的影响将自然地发生，多语言网站将成为互联网存在的主要部分。不管企业是选择现在或将来，这都是网站建设的唯一选择。</div>','2','4','0','0','0','0','','','1','admin','9','2013-12-26 16:40:11','2012-07-16 10:05:40','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('5','MetInfo企业建站系统有何优势？','','','价格更低：网站建设公司自行开发系统，一般的开发成本都会在千元以上，就算网站建设公司使用自己已经开发的系统建站，客户的一些个性化需要也需要二次开发','<div> <strong>价格更低：</strong>网站建设公司自行开发系统，一般的开发成本都会在千元以上，就算网站建设公司使用自己已经开发的系统建站，客户的一些个性化需要也需要二次开发，而使用MetInfo企业网站管理系统能满足绝大多数企业网站的功能需求，且成本非常低，甚至为零；</div><div> </div><div> <strong>功能更完善、系统更安全：</strong>MetInfo企业网站管理系统已经经过众多用户(2012年3月份已经超过10万安装量)、多种运行环境的测试，并在不断完善和升级之中，从而促使系统功能会不断完善，运行更稳定与安全；</div><div> </div><div> <strong>网站更具有营销力：</strong>借助MetInfo企业网站管理系统内置的SEO优化机制及静态页面生成功能等，使网站更容易被推广、更容易被搜索引擎收录、更容易提升关键词排名；</div><div> </div><div> <strong>完善的技术支持服务：</strong>根据用户所选服务等级，米拓官方提供论坛商业用户技术支持、QQ\\MSN、Email、电话等多种技术支持，且不会因为建站公司的转型而导致代码无人维护与升级；</div><div> </div><div> <strong>交流更便捷：</strong>MetInfo企业网站管理系统100%开源，拥有庞大用户群，用户可以在官方技术论坛及通过其他方式进行相互交流；</div><div> </div><div> <strong>更容易更换网站风格：</strong>使用MetInfo企业网站管理系统建站，配合优秀的前台模板，可以让前台所见的内容全部通过后台控制，从而使用户管理网站轻松自如；当企业想更换一种网站风格时，与网站公司自行开发的系统需要重新开发设计不同的是，企业只需要重新设计网站风格，而无须重新添加数据和开发网站后台；</div><div> </div>','2','4','0','0','0','0','','','1','admin','6','2013-12-26 16:37:55','2012-07-16 10:52:38','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('6','企业用网站进行网络宣传的优势','','','从价格方面考虑，与报纸杂志或电视宣传相比，目前网络宣传费用还是较为低廉的。获得同等的宣传效应，网络宣传的有效千人成本远远低于传统宣传媒体。','<div><strong><span style=\"font-size:14px;\"> 网络宣传是多维宣传 </span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>传统媒体是二维的，而网络宣传则是多维的，它能将文字、图像和声音有机的组合在一起，传递多感官的信息，让顾客如身临其境般感受商品或服务。使消费者能亲身体验产品、服务与品牌。这种图、文、声、像相结合的宣传形式，增强了网络宣传的实效。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传拥有最有活力的消费群体</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>互联网用户70.54%集中在经济较为发达地区，64%家庭人均月收入高于1000元，85.8%年龄在18岁到35岁之间，83%受过大学以上教育。因此，网络宣传的目标群体是目前社会上层次最高、收入最高、消费能力最高的最具活力的消费群体。这一群体的消费总额往往大于其他消费层次之和。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传制作成本低，速度快，更改灵活</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>网络宣传制作周期短，即使在较短的周期进行投放，也可以根据客户的需求很快完成制作，而传统宣传制作成本高，投放周期固定。另外，在传统媒体上做宣传发布后很难更改即使可以改动往往也须付出很大的经济代价。而在互联网上做宣传能够按照客户需要及时变更宣传内容。这样，经营决策的变化就能及时实施和推广。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传具有交互性和纵深性</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>交互性强是互联网络媒体的最大的优势，它不同于传统媒体的信息单向传播，而是信息互动传播。通过链接，用户只需简单地点击鼠标，就可以从厂商的相关站点中得到更多、更详尽的信息。另外，用户可以通过网络直接填写并提交在线表单信息，厂商可以随时得到宝贵的用户反馈信息，进一步减少了用户和宣传客户之间的距离。同时，网络宣传可以提供进一步的产品查询需求。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传能进行完善的统计</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>"无法衡量的东西就无法管理。"网络宣传通过及时和精确的统计机制，使用户能够直接对信息的发布进行在线监控。而传统的信息发布形式只能通过并不精确的收视率、发行量等来统计投放的受众数量。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传可以跟踪和衡量宣传的效果</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>用户能通过Internet即时衡量宣传的效果。通过监视宣传的浏览量、点击率等指标，用户可以统计出多少人看到了发布的信息，其中有多少人对发布的信息感兴趣进而进一步了解了信息的详细信息。因此，较之其他任何宣传，网络宣传使用户能够更好地跟踪受众的反应，及时了解用户和潜在用户的情况。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传的投放更具有针对性</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>通过提供众多的免费服务，网站一般都能建立完整的用户数据库，包括用户的地域分布、年龄、性别、收入、职业、婚姻状况、爱好等。这些资料可帮助用户分析市场与受众，根据信息发布目标受众的特点，有针对性地进行信息发布，并根据用户特点作定点投放和跟踪分析，对投放效果作出客观准确的评价。</div><div>另外，网络宣传还可以提供有针对性的内容环境。不同的网站或者是同一网站不同的频道所提供的服务是不同质且具有很强的类分别的，这就为密切迎合用户的兴趣提供了可能。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传的受众关注度高</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>据资料显示，电视并不能集中人的注意力，电视观众40%的人同时在阅读，21%的人同时在做家务，13%的人在吃喝，12%的人在玩赏它物，10%在烹饪，9%在写作，8%在打电话。而网上用户55%在使用计算机时不做任何它事，只有6%同时在打电话，只有5%在吃喝，只有4%在写作。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传缩短了媒体投放的进程</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>用户在传统媒体上进行市场推广一般要经过三个阶段：市场开发期、市场巩固期和市场维持期。在这三个阶段中，厂商要首先获取注意力，创立品牌知名度；在消费者获得品牌的初步信息后，推广更为详细的产品信息。然后是建立和消费者之间较为牢固的联系，以建立品牌忠诚。而互联网将这三个阶段合并在一次信息发布中实现：消费者看到网络宣传，点击后获得详细信息，并填写用户资料或直接参与用户的市场活动甚至直接在网上实施购买行为。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><span style=\"font-size:14px;\"><strong>网络宣传传播范围广、不受时空限制</strong></span></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>通过国际互联网络，网络宣传可以将信息24小时不间断地传播到世界的每一个角落。只要具备上网条件，任何人，在任何地点都可以阅读。这是传统媒体无法达到的。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传具有可重复性和可检索性</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>网络宣传可以将文字、声音、画面完美地结合之后供用户主动检索，重复观看。而与之相比电视宣传却是让用户被动地接受宣传内容。如果错过宣传时间，就不能再得到发布信息。另外，显而易见，较之网络宣传的检索平面宣传的检索要费时、费事的多。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传具有价格优势</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>从价格方面考虑，与报纸杂志或电视宣传相比，目前网络宣传费用还是较为低廉的。获得同等的宣传效应，网络宣传的有效千人成本远远低于传统宣传媒体。一个宣传主页一年的费用大致为几千元人民币，而且主页内容可以随企业经营决策的变更随时改变，这是传统宣传媒体不可想像的。网络宣传将成为企业市场推广必不可少的高效途径。</div>','2','5','0','0','0','0','','','1','admin','29','2013-12-26 16:36:04','2012-07-16 11:16:01','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('7','什么是伪静态？伪静态有何作用?','','','伪静态是相对真实静态来讲的，真实静态会生成一个html或htm后缀的文件，访客能够访问到真实存在的静态页面，而伪静态则没有生成实体静态页面文件','<div> 伪静态是相对真实静态来讲的，真实静态会生成一个html或htm后缀的文件，访客能够访问到真实存在的静态页面，而伪静态则没有生成实体静态页面文件，而仅仅是以.html一类的静态页面形式,但其实是用PHP程序动态脚本来处理的，这就是伪静态。</div><div> </div><div><span style=\"line-height: 2;\"> </span><strong><span style=\"font-size:14px;\">静态页面的优缺点：</span></strong></div><div> 真实静态通常是为了更好的缓解服务器压力，和增强搜索引擎的友好面，所以都将网页内容生成静态页面。但最大缺陷是每次在网站后台修改网页内容都需要重新生成静态页面，无法实时显示更新的内容，而久之网站内容多了，占用的空间大小以及每次生成静态页面所耗费的服务器资源也不容小觑（有出现内容过多且一次性生成静态页面而导致服务器奔溃的案例）。</div><div> </div><div><span style=\"line-height: 2;\"> </span><strong><span style=\"font-size:14px;\">伪静态有什么作用？</span></strong></div><div> 有的朋友为了实时的显示一些信息，或者还想运用动态脚本解决一些问题，不能用静态的方式来展示网站内容，但是这就损失了对搜索引擎的友好面，怎么样在两者之间找个中间方法呢？这就产生了伪静态技术。</div><div> </div><div><span style=\"line-height: 2;\"> </span><strong><span style=\"font-size:14px;\">伪静态有什么不足？</span></strong></div><div> 由于伪静态是用正则判断需要跳转到的页面而不是真实页面地址，分辨到底显示哪个页面的责任也由直接指定转由服务器CPU来判断了，所以CPU占有量的上升，确实是伪静态最大的弊病。</div><div> </div><div><span style=\"font-size:12px;\">MetInfo建议：</span></div><ol><li>企业网站一般都可以开启伪静态，因为企业站点访问量一般不大，伪静态对CPU的影响也较小，如果访问量大也可以升级服务器来解决。</li><li>根据空间访问速度来选择，如国外空间建议开真实静态，而国内空间访问应该较快，基本都可以选择开启伪静态。</li><li>伪静态与真实静态只可选择一个，因为URL格式不一样，频繁更换会让搜索引擎摸不着北，站点上线后选择其中一种就应该坚持下去。</li></ol>','2','5','0','0','0','0','','','0','admin','4','2013-12-26 16:35:07','2012-07-16 12:52:55','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('8','如何充分发挥MetInfo的SEO功能','','','MetInfo企业网站管理系统以SEO功能完善而著称，但是很多建站的朋友却忽略了网站的真正价值，完全没有考虑网站的优化推广，从而让网站仅仅是一个摆设','<div> MetInfo企业网站管理系统以SEO功能完善而著称，但是很多建站的朋友却忽略了网站的真正价值，完全没有考虑网站的优化推广，从而让网站仅仅是一个摆设，使用MetInfo建站需要从以下几个方面来设置网站的SEO功能。</div><div> </div><div><strong> 一、SEO参数设置</strong></div><div> 网站标题关键词：这是整个网站SEO的核心，搜索引擎将以此为重要依据对你的网站进行排名，关键词的选择应该充分考虑客户的搜索习惯、自身的产品和服务以及竞争对手的情况，在分析关键词的冷热程度时可以参考百度指数；而关键词首次设定之后，最好不要变动，以免造成排名波动及网站降权。</div><div> 网站关键词：主要是给搜索引擎区分网页关键词排名提供参考，并不意味你此处设置了关键词就能排到搜索结果里面去。</div><div> 网站描述：网站描述一般显示在搜索引擎结果中的网页（首页）描述部分，主要用于向浏览者介绍网站大体情况，吸引浏览者点击。</div><div> 头部优化文字：如果模板支持，一般建议使用HTML strong 标签加粗网站关键词，以增强优化效果，当然也可以用做网站的促销推广信息发布。</div><div> 图片默认ALT、超链接默认Title、友情链接本站名称：一般填写全站核心关键词即可。</div><div> 网站底部优化文字：如果模板支持，一般建议使用HTML strong 标签加粗网站关键词，以增强优化效果。</div><div> </div><div><strong> 二、静态页面</strong></div><div> 一般建议开启全站静态页面，这样更利于搜索引擎收录；</div><div> 静态页面类型可以根据自己的喜好选择任意一种；</div><div> 内容页面名称和列表页面名称推荐采用文件夹名称形式，尤其是英文网站；</div><div> 在添加一级栏目时，尽量按照栏目属性设置文件夹名称，如常见问答，设为FAQ等。</div><div> </div><div><strong> 三、热门标签</strong></div><div> 热门标签的作用主要是增加内链，建议用户将网站关键词设置为热门标签</div><div> </div><div><strong> 四、内容页面的关键词和简短描述</strong></div><div> 建议用在添加网站内容时尽量添加每篇内容和栏目的关键词和简短描述，以便搜索引擎更好的收录</div><div> </div><div><strong> 五、友情链接</strong></div><div> 尽可能争取同行相关网站的互相友情链接</div><div> </div><div> 当然网站优化推广不仅仅是以上设置就可以完成的，网站系统仅仅是个基础， 用户应该有规律的添加网站内容并到互联网上大量推广网站，这样才能使网站访问量增大，同时提升关键词在搜索引擎中的排名。</div><div> </div><div> 更多有关网站SEO优化问题，欢迎到官方论坛发帖探讨：http://bbs.metinfo.cn/forum-20-1.html</div>','2','5','0','0','0','0','','','0','admin','9','2013-12-26 16:32:41','2012-07-16 13:01:11','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('9','企业网站应该多长时间备份一次？','','','企业网站的信息量一般比较少，使用MetInfo企业网站管理系统让网站备份操作非常简单，我们建议用户没有必要经常去备份网站，一般只需要做到一下几点即可','<div> 企业网站的信息量一般比较少，使用MetInfo企业网站管理系统让网站备份操作非常简单，我们建议用户没有必要经常去备份网站，一般只需要做到一下几点即可：</div><div> </div><ol><li>网站初次安装、初次配置、添加基本内容可以备份数据库及整站打包下载到本地；</li><li>网站运行中可以更加信息的更新频率1-3个月备份一次数据库；</li><li>如果你的网站图片特别多，且担心空间不稳定，你可以选择1-2个月备份一次网站上传文件。</li></ol><div> </div><div> 注意：当将备份文件下载到本地后，为了节省空间，建议删除服务器上的备份文件。</div>','2','5','0','0','0','0','','','1','admin','17','2013-12-26 16:32:17','2012-07-16 13:08:32','0','1','','cn','0','1','');
INSERT INTO met_news VALUES('10','如何选择网站关键词?','','','考虑用户搜索习惯，而并非企业名称或产品名称，尤其是对于一种新的产品，当市场还没有人知道的时候，自然不会有人去搜索这个关键词，因此选','<div> 网站关键词是SEO优化的核心，关键词的选择将直接影响网站优化推广效果及网站的价值，选择关键词应该注意一下几点：</div><div> </div><div> <strong>考虑用户搜索习惯</strong>，而并非企业名称或产品名称，尤其是对于一种新的产品，当市场还没有人知道的时候，自然不会有人去搜索这个关键词，因此选择关键词首先就应该去分析你的目标群体会在搜索引擎中搜索哪些关键词，而你应该选择那些与你的产品相关并能为你的销售带来帮助的关键词。</div><div> </div><div> 中小企业<strong>切忌不要将自己的公司名称</strong>或品牌作为主要关键词，因为在你的目标群体中，很多人是没有听说过你的公司和品牌的，小企业做产品，对于中小企业来说，客户一般都是通过产品和服务来了解你的公司和品牌的，因此，网站关键词如果设置为公司名称，则不能达到良好的营销效果。</div><div> </div><div> <strong> 关键词不宜过长</strong>，太长的关键词很少会有人搜索；点击量不宜太热，点击量太大搜索的人越多那么竞争也就会越激烈；同时关键词也不能太冷门，冷门关键词排到第一位也不会有多少人搜索访问，具体可以参考“百度指数”中的关键词访问量。</div><div> </div><div> 碰到热门关键词时，<strong>最好在关键词前面或后面加上地域限制</strong>，譬如“塑钢门窗”，这个关键词竞争是非常激烈，但是“长沙塑钢门窗”就比较好做了，而且如果你做的是有地域限制的业务，那么其他地方搜索到你的网站也没有多大意义。</div><div> </div><div> <strong>标题关键词应该控制在1-3个之间</strong>，除非第四个以后的关键词是比较冷门的，否则在标题中添加多个关键词是没有任何意义的，反而会影响主关键词的排名。</div><div> </div>','2','5','0','0','0','0','','','0','admin','6','2013-12-26 16:29:24','2012-07-16 13:15:45','0','1','网站关键词','cn','0','1','');
INSERT INTO met_news VALUES('21','企业用网站进行网络宣传的优势','','','从价格方面考虑，与报纸杂志或电视宣传相比，目前网络宣传费用还是较为低廉的。获得同等的宣传效应，网络宣传的有效千人成本远远低于传统宣传媒体。','<div><strong><span style=\"font-size:14px;\"> 网络宣传是多维宣传 </span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>传统媒体是二维的，而网络宣传则是多维的，它能将文字、图像和声音有机的组合在一起，传递多感官的信息，让顾客如身临其境般感受商品或服务。使消费者能亲身体验产品、服务与品牌。这种图、文、声、像相结合的宣传形式，增强了网络宣传的实效。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传拥有最有活力的消费群体</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>互联网用户70.54%集中在经济较为发达地区，64%家庭人均月收入高于1000元，85.8%年龄在18岁到35岁之间，83%受过大学以上教育。因此，网络宣传的目标群体是目前社会上层次最高、收入最高、消费能力最高的最具活力的消费群体。这一群体的消费总额往往大于其他消费层次之和。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传制作成本低，速度快，更改灵活</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>网络宣传制作周期短，即使在较短的周期进行投放，也可以根据客户的需求很快完成制作，而传统宣传制作成本高，投放周期固定。另外，在传统媒体上做宣传发布后很难更改即使可以改动往往也须付出很大的经济代价。而在互联网上做宣传能够按照客户需要及时变更宣传内容。这样，经营决策的变化就能及时实施和推广。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传具有交互性和纵深性</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>交互性强是互联网络媒体的最大的优势，它不同于传统媒体的信息单向传播，而是信息互动传播。通过链接，用户只需简单地点击鼠标，就可以从厂商的相关站点中得到更多、更详尽的信息。另外，用户可以通过网络直接填写并提交在线表单信息，厂商可以随时得到宝贵的用户反馈信息，进一步减少了用户和宣传客户之间的距离。同时，网络宣传可以提供进一步的产品查询需求。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传能进行完善的统计</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>"无法衡量的东西就无法管理。"网络宣传通过及时和精确的统计机制，使用户能够直接对信息的发布进行在线监控。而传统的信息发布形式只能通过并不精确的收视率、发行量等来统计投放的受众数量。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传可以跟踪和衡量宣传的效果</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>用户能通过Internet即时衡量宣传的效果。通过监视宣传的浏览量、点击率等指标，用户可以统计出多少人看到了发布的信息，其中有多少人对发布的信息感兴趣进而进一步了解了信息的详细信息。因此，较之其他任何宣传，网络宣传使用户能够更好地跟踪受众的反应，及时了解用户和潜在用户的情况。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传的投放更具有针对性</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>通过提供众多的免费服务，网站一般都能建立完整的用户数据库，包括用户的地域分布、年龄、性别、收入、职业、婚姻状况、爱好等。这些资料可帮助用户分析市场与受众，根据信息发布目标受众的特点，有针对性地进行信息发布，并根据用户特点作定点投放和跟踪分析，对投放效果作出客观准确的评价。</div><div>另外，网络宣传还可以提供有针对性的内容环境。不同的网站或者是同一网站不同的频道所提供的服务是不同质且具有很强的类分别的，这就为密切迎合用户的兴趣提供了可能。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传的受众关注度高</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>据资料显示，电视并不能集中人的注意力，电视观众40%的人同时在阅读，21%的人同时在做家务，13%的人在吃喝，12%的人在玩赏它物，10%在烹饪，9%在写作，8%在打电话。而网上用户55%在使用计算机时不做任何它事，只有6%同时在打电话，只有5%在吃喝，只有4%在写作。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传缩短了媒体投放的进程</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>用户在传统媒体上进行市场推广一般要经过三个阶段：市场开发期、市场巩固期和市场维持期。在这三个阶段中，厂商要首先获取注意力，创立品牌知名度；在消费者获得品牌的初步信息后，推广更为详细的产品信息。然后是建立和消费者之间较为牢固的联系，以建立品牌忠诚。而互联网将这三个阶段合并在一次信息发布中实现：消费者看到网络宣传，点击后获得详细信息，并填写用户资料或直接参与用户的市场活动甚至直接在网上实施购买行为。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><span style=\"font-size:14px;\"><strong>网络宣传传播范围广、不受时空限制</strong></span></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>通过国际互联网络，网络宣传可以将信息24小时不间断地传播到世界的每一个角落。只要具备上网条件，任何人，在任何地点都可以阅读。这是传统媒体无法达到的。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传具有可重复性和可检索性</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>网络宣传可以将文字、声音、画面完美地结合之后供用户主动检索，重复观看。而与之相比电视宣传却是让用户被动地接受宣传内容。如果错过宣传时间，就不能再得到发布信息。另外，显而易见，较之网络宣传的检索平面宣传的检索要费时、费事的多。</div><div> </div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong><strong><span style=\"font-size:14px;\">网络宣传具有价格优势</span></strong></div><div><strong style=\"line-height: 2;\"><span style=\"font-size: 14px;\"> </span></strong>从价格方面考虑，与报纸杂志或电视宣传相比，目前网络宣传费用还是较为低廉的。获得同等的宣传效应，网络宣传的有效千人成本远远低于传统宣传媒体。一个宣传主页一年的费用大致为几千元人民币，而且主页内容可以随企业经营决策的变更随时改变，这是传统宣传媒体不可想像的。网络宣传将成为企业市场推广必不可少的高效途径。</div>','2','4','0','0','0','0','','','1','admin','29','2013-12-26 16:36:04','2012-07-16 11:16:01','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('22','什么是伪静态？伪静态有何作用?','','','伪静态是相对真实静态来讲的，真实静态会生成一个html或htm后缀的文件，访客能够访问到真实存在的静态页面，而伪静态则没有生成实体静态页面文件','<div> 伪静态是相对真实静态来讲的，真实静态会生成一个html或htm后缀的文件，访客能够访问到真实存在的静态页面，而伪静态则没有生成实体静态页面文件，而仅仅是以.html一类的静态页面形式,但其实是用PHP程序动态脚本来处理的，这就是伪静态。</div><div> </div><div><span style=\"line-height: 2;\"> </span><strong><span style=\"font-size:14px;\">静态页面的优缺点：</span></strong></div><div> 真实静态通常是为了更好的缓解服务器压力，和增强搜索引擎的友好面，所以都将网页内容生成静态页面。但最大缺陷是每次在网站后台修改网页内容都需要重新生成静态页面，无法实时显示更新的内容，而久之网站内容多了，占用的空间大小以及每次生成静态页面所耗费的服务器资源也不容小觑（有出现内容过多且一次性生成静态页面而导致服务器奔溃的案例）。</div><div> </div><div><span style=\"line-height: 2;\"> </span><strong><span style=\"font-size:14px;\">伪静态有什么作用？</span></strong></div><div> 有的朋友为了实时的显示一些信息，或者还想运用动态脚本解决一些问题，不能用静态的方式来展示网站内容，但是这就损失了对搜索引擎的友好面，怎么样在两者之间找个中间方法呢？这就产生了伪静态技术。</div><div> </div><div><span style=\"line-height: 2;\"> </span><strong><span style=\"font-size:14px;\">伪静态有什么不足？</span></strong></div><div> 由于伪静态是用正则判断需要跳转到的页面而不是真实页面地址，分辨到底显示哪个页面的责任也由直接指定转由服务器CPU来判断了，所以CPU占有量的上升，确实是伪静态最大的弊病。</div><div> </div><div><span style=\"font-size:12px;\">MetInfo建议：</span></div><ol><li>企业网站一般都可以开启伪静态，因为企业站点访问量一般不大，伪静态对CPU的影响也较小，如果访问量大也可以升级服务器来解决。</li><li>根据空间访问速度来选择，如国外空间建议开真实静态，而国内空间访问应该较快，基本都可以选择开启伪静态。</li><li>伪静态与真实静态只可选择一个，因为URL格式不一样，频繁更换会让搜索引擎摸不着北，站点上线后选择其中一种就应该坚持下去。</li></ol>','2','4','0','0','0','0','','','0','admin','4','2013-12-26 16:35:07','2012-07-16 12:52:55','0','0','','cn','0','1','');
INSERT INTO met_news VALUES('23','如何充分发挥MetInfo的SEO功能','','','MetInfo企业网站管理系统以SEO功能完善而著称，但是很多建站的朋友却忽略了网站的真正价值，完全没有考虑网站的优化推广，从而让网站仅仅是一个摆设','<div> MetInfo企业网站管理系统以SEO功能完善而著称，但是很多建站的朋友却忽略了网站的真正价值，完全没有考虑网站的优化推广，从而让网站仅仅是一个摆设，使用MetInfo建站需要从以下几个方面来设置网站的SEO功能。</div><div> </div><div><strong> 一、SEO参数设置</strong></div><div> 网站标题关键词：这是整个网站SEO的核心，搜索引擎将以此为重要依据对你的网站进行排名，关键词的选择应该充分考虑客户的搜索习惯、自身的产品和服务以及竞争对手的情况，在分析关键词的冷热程度时可以参考百度指数；而关键词首次设定之后，最好不要变动，以免造成排名波动及网站降权。</div><div> 网站关键词：主要是给搜索引擎区分网页关键词排名提供参考，并不意味你此处设置了关键词就能排到搜索结果里面去。</div><div> 网站描述：网站描述一般显示在搜索引擎结果中的网页（首页）描述部分，主要用于向浏览者介绍网站大体情况，吸引浏览者点击。</div><div> 头部优化文字：如果模板支持，一般建议使用HTML strong 标签加粗网站关键词，以增强优化效果，当然也可以用做网站的促销推广信息发布。</div><div> 图片默认ALT、超链接默认Title、友情链接本站名称：一般填写全站核心关键词即可。</div><div> 网站底部优化文字：如果模板支持，一般建议使用HTML strong 标签加粗网站关键词，以增强优化效果。</div><div> </div><div><strong> 二、静态页面</strong></div><div> 一般建议开启全站静态页面，这样更利于搜索引擎收录；</div><div> 静态页面类型可以根据自己的喜好选择任意一种；</div><div> 内容页面名称和列表页面名称推荐采用文件夹名称形式，尤其是英文网站；</div><div> 在添加一级栏目时，尽量按照栏目属性设置文件夹名称，如常见问答，设为FAQ等。</div><div> </div><div><strong> 三、热门标签</strong></div><div> 热门标签的作用主要是增加内链，建议用户将网站关键词设置为热门标签</div><div> </div><div><strong> 四、内容页面的关键词和简短描述</strong></div><div> 建议用在添加网站内容时尽量添加每篇内容和栏目的关键词和简短描述，以便搜索引擎更好的收录</div><div> </div><div><strong> 五、友情链接</strong></div><div> 尽可能争取同行相关网站的互相友情链接</div><div> </div><div> 当然网站优化推广不仅仅是以上设置就可以完成的，网站系统仅仅是个基础， 用户应该有规律的添加网站内容并到互联网上大量推广网站，这样才能使网站访问量增大，同时提升关键词在搜索引擎中的排名。</div><div> </div><div> 更多有关网站SEO优化问题，欢迎到官方论坛发帖探讨：http://bbs.metinfo.cn/forum-20-1.html</div>','2','4','0','0','0','0','','','0','admin','9','2013-12-26 16:32:41','2012-07-16 13:01:11','0','0','','cn','0','1','');
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INSERT INTO met_product VALUES('1','示例产品五','','','由于本店工厂直销，当中省去了各级代理，省去店租，把最大的利润全反给买家，现在此款商品零利润特价销售。','<ul class=\"attributes-list\" style=\"margin-top: 10px; margin-right: 0px; margin-bottom: 10px; margin-left: 0px; padding-top: 10px; padding-right: 15px; padding-bottom: 10px; padding-left: 15px; list-style-type: none; list-style-position: initial; list-style-image: initial; zoom: 1; clear: both; font-family: tahoma, arial, 宋体; line-height: 18px; \"><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 银饰\">链子材质: 银饰</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 925银\">银饰分类: 925银</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 扭片链\">链子样式: 扭片链</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 银饰\">坠子材质: 银饰</li><li style=\"margin-top: 0px; margin-right: 20px; 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text-overflow: ellipsis; \" title=\" （小吊坠）紫钻链长45CM现货 （小吊坠）紫钻链长40CM现货 （小吊坠）白钻链长45CM现货 （小吊坠）白钻链长40CM现货 （大吊坠）紫钻链长45CM现货 （大吊坠）紫钻链长40CM现货 （大吊坠）白钻链长45CM现货 （大吊坠）白钻链长40CM现货\">颜色分类: （小吊坠）紫钻链长45CM现货 （小吊坠）紫钻链长40CM现货 （小吊坠）白钻链长45CM现货 （小吊坠）白钻链长40CM现货 （大吊坠）紫钻链长45CM现货 （大吊坠）紫钻链长40CM现货 （大吊坠）白钻链长45CM现货 （大吊坠）白钻链长40CM现货</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 其它形状/图案\">形状/图案: 其它形状/图案</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 日韩\">风格: 日韩</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 纯银镶嵌宝石\">是否镶嵌: 纯银镶嵌宝石</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 是\">是否带坠: 是</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 否\">是否多层: 否</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 女\">适用人群: 女</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 现货\">是否现货: 现货</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 21cm-50cm\">链周长: 21cm-50cm</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 全新\">成色: 全新</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 新鲜出炉\">新奇特: 新鲜出炉</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 740\">货号: 740</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 101-200元\">价格区间: 101-200元</li></ul>','3','6','14','','0','0','0','../upload/201207/1342360923.jpg','../upload/201207/thumb/1342360923.jpg','图1*../upload/201207/1342361453.jpg|图2*../upload/201207/1342361225.jpg|图3*../upload/201207/1342361059.jpg','1','20','2012-08-20 00:10:49','2012-07-15 21:52:11','admin','0','0','示例产品1','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('2','示例产品三','','','iPad 让你随心所欲。它是你的网络浏览器、你的收件箱、你最喜爱的小说，更是你实现足不出户，即可与远方好友面对面交谈的方式。它让你常做和不常做的事变得更智能、更直观，而且乐趣无穷。','<div><strong>迅速浏览</strong></div><div>高速 WLAN 或蜂窝网络数据连接，加上 A5X 芯片的四核图形处理功能，让网页载入或重新载入瞬间完成。</div><div> </div><div><strong>专心阅读</strong></div><div>只需轻点阅读器图标，杂乱信息即刻消失，让你只看到文章。没有足够的时间阅读？你可以将文章链接加入你的阅读列表，稍后再看。</div><div> </div><div><strong>分享网站</strong></div><div>如果你看到有趣的网页，并希望与人分享，对你来说轻而易举即可完成。只需轻点一下，即可打开菜单，用电子邮件将网页链接发出。</div><div> </div><div><strong>Safari 和 iCloud</strong></div><div>iCloud 让你所有设备上的阅读列表和书签都自动保持更新。因此在一部设备上中断的操作，可以在另一设备上继续进行。</div>','3','7','0','','0','0','0','../upload/201207/1342404144.jpg','../upload/201207/thumb/1342404144.jpg','','1','10','2012-08-20 00:11:02','2012-07-16 09:47:43','admin','0','0','ipad','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('3','示例产品七','','','','','3','8','0','','0','0','0','../upload/201207/1342404422.jpg','../upload/201207/thumb/1342404422.jpg','','1','9','2012-08-20 00:11:36','2012-07-16 09:56:45','admin','0','0','','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('4','示例产品四','','','','<p> </p><ul class=\"attributes-list\" style=\"margin-top: 10px; margin-right: 0px; margin-bottom: 10px; margin-left: 0px; padding-top: 10px; padding-right: 15px; padding-bottom: 10px; padding-left: 15px; list-style-type: none; list-style-position: initial; list-style-image: initial; overflow-x: hidden; overflow-y: hidden; zoom: 1; clear: both; border-top-width: 1px; border-right-width: 1px; border-bottom-width: 1px; border-left-width: 1px; border-top-style: solid; border-right-style: solid; border-bottom-style: solid; border-left-style: solid; border-top-color: rgb(230, 230, 230); border-right-color: rgb(230, 230, 230); border-bottom-color: rgb(230, 230, 230); border-left-color: rgb(230, 230, 230); color: rgb(64, 64, 64); font-family: tahoma, arial, 宋体; line-height: 18px; \"><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" TOYOTA/丰田\">品牌: TOYOTA/丰田</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 黑色 白色\">颜色分类: 黑色 白色</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 国产\">车辆产地: 国产</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 手自一体\">变速箱: 手自一体</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 三厢轿车\">整车类别: 三厢轿车</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 2L\">汽车排量: 2L</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 15万-20万\">汽车价格: 15万-20万</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 直列分布（L）\">发动机类型: 直列分布（L）</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 4档\">档位: 4档</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 4缸\">缸数: 4缸</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 16气门\">气门数: 16气门</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 汽车类型\">动力类型: 汽车类型</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 其它\">上市时间: 其它</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 丰田凯美瑞\">适合车型: 丰田凯美瑞</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" TOYOTA/丰田\">适用车系: TOYOTA/丰田</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 广东\">新车二手车销售区域: 广东</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 30天提车\">提车周期: 30天提车</li></ul>','3','9','0','','0','0','0','../upload/201207/1342405015.jpg','../upload/201207/thumb/1342405015.jpg','','1','17','2012-07-16 10:01:04','2012-07-16 10:01:04','admin','0','0','','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('13','示例产品八','','','','<p> </p><ul class=\"attributes-list\" style=\"margin-top: 10px; margin-right: 0px; margin-bottom: 10px; margin-left: 0px; padding-top: 10px; padding-right: 15px; padding-bottom: 10px; padding-left: 15px; list-style-type: none; list-style-position: initial; list-style-image: initial; overflow-x: hidden; overflow-y: hidden; zoom: 1; clear: both; border-top-width: 1px; border-right-width: 1px; border-bottom-width: 1px; border-left-width: 1px; border-top-style: solid; border-right-style: solid; border-bottom-style: solid; border-left-style: solid; border-top-color: rgb(230, 230, 230); border-right-color: rgb(230, 230, 230); border-bottom-color: rgb(230, 230, 230); border-left-color: rgb(230, 230, 230); color: rgb(64, 64, 64); font-family: tahoma, arial, 宋体; line-height: 18px; \"><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" TOYOTA/丰田\">品牌: TOYOTA/丰田</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 黑色 白色\">颜色分类: 黑色 白色</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 国产\">车辆产地: 国产</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 手自一体\">变速箱: 手自一体</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 三厢轿车\">整车类别: 三厢轿车</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 2L\">汽车排量: 2L</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 15万-20万\">汽车价格: 15万-20万</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 直列分布（L）\">发动机类型: 直列分布（L）</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 4档\">档位: 4档</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 4缸\">缸数: 4缸</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 16气门\">气门数: 16气门</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 汽车类型\">动力类型: 汽车类型</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 其它\">上市时间: 其它</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 丰田凯美瑞\">适合车型: 丰田凯美瑞</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" TOYOTA/丰田\">适用车系: TOYOTA/丰田</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 广东\">新车二手车销售区域: 广东</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 30天提车\">提车周期: 30天提车</li></ul>','3','8','0','','0','0','0','../upload/201207/1342405015.jpg','../upload/201207/thumb/1342405015.jpg','','1','20','2013-12-28 16:37:20','2012-07-16 10:01:04','admin','0','0','','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('14','示例产品六','','','','','3','8','0','|-3-6-14-|-3-6-16-|-3-12-0-|','0','0','0','../upload/201207/1342404422.jpg','../upload/201207/thumb/1342404422.jpg','','1','10','2013-12-28 16:39:31','2012-07-16 09:56:45','admin','0','0','','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('15','示例产品二','','','iPad 让你随心所欲。它是你的网络浏览器、你的收件箱、你最喜爱的小说，更是你实现足不出户，即可与远方好友面对面交谈的方式。它让你常做和不常做的事变得更智能、更直观，而且乐趣无穷。','<div><strong>迅速浏览</strong></div><div>高速 WLAN 或蜂窝网络数据连接，加上 A5X 芯片的四核图形处理功能，让网页载入或重新载入瞬间完成。</div><div> </div><div><strong>专心阅读</strong></div><div>只需轻点阅读器图标，杂乱信息即刻消失，让你只看到文章。没有足够的时间阅读？你可以将文章链接加入你的阅读列表，稍后再看。</div><div> </div><div><strong>分享网站</strong></div><div>如果你看到有趣的网页，并希望与人分享，对你来说轻而易举即可完成。只需轻点一下，即可打开菜单，用电子邮件将网页链接发出。</div><div> </div><div><strong>Safari 和 iCloud</strong></div><div>iCloud 让你所有设备上的阅读列表和书签都自动保持更新。因此在一部设备上中断的操作，可以在另一设备上继续进行。</div>','3','8','0','','0','0','0','../upload/201207/1342404144.jpg','../upload/201207/thumb/1342404144.jpg','','1','10','2012-07-16 09:52:00','2012-07-16 09:47:43','admin','0','0','','cn','','','','','','','','','','0','1','');
INSERT INTO met_product VALUES('16','示例产品一','','','由于本店工厂直销，当中省去了各级代理，省去店租，把最大的利润全反给买家，现在此款商品零利润特价销售。','<ul class=\"attributes-list\" style=\"margin-top: 10px; margin-right: 0px; margin-bottom: 10px; margin-left: 0px; padding-top: 10px; padding-right: 15px; padding-bottom: 10px; padding-left: 15px; list-style-type: none; list-style-position: initial; list-style-image: initial; zoom: 1; clear: both; font-family: tahoma, arial, 宋体; line-height: 18px; \"><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 银饰\">链子材质: 银饰</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 925银\">银饰分类: 925银</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 扭片链\">链子样式: 扭片链</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 银饰\">坠子材质: 银饰</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 艾念\">品牌: 艾念</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 无\">延长链: 无</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" （小吊坠）紫钻链长45CM现货 （小吊坠）紫钻链长40CM现货 （小吊坠）白钻链长45CM现货 （小吊坠）白钻链长40CM现货 （大吊坠）紫钻链长45CM现货 （大吊坠）紫钻链长40CM现货 （大吊坠）白钻链长45CM现货 （大吊坠）白钻链长40CM现货\">颜色分类: （小吊坠）紫钻链长45CM现货 （小吊坠）紫钻链长40CM现货 （小吊坠）白钻链长45CM现货 （小吊坠）白钻链长40CM现货 （大吊坠）紫钻链长45CM现货 （大吊坠）紫钻链长40CM现货 （大吊坠）白钻链长45CM现货 （大吊坠）白钻链长40CM现货</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 其它形状/图案\">形状/图案: 其它形状/图案</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 日韩\">风格: 日韩</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 纯银镶嵌宝石\">是否镶嵌: 纯银镶嵌宝石</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 是\">是否带坠: 是</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 否\">是否多层: 否</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 女\">适用人群: 女</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 现货\">是否现货: 现货</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 21cm-50cm\">链周长: 21cm-50cm</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 全新\">成色: 全新</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 新鲜出炉\">新奇特: 新鲜出炉</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 740\">货号: 740</li><li style=\"margin-top: 0px; margin-right: 20px; margin-bottom: 0px; margin-left: 0px; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; display: inline; float: left; width: 206px; height: 24px; overflow-x: hidden; overflow-y: hidden; text-indent: 5px; line-height: 24px; white-space: nowrap; text-overflow: ellipsis; \" title=\" 101-200元\">价格区间: 101-200元</li></ul>','3','8','0','','0','0','0','../upload/201207/1342360923.jpg','../upload/201207/thumb/1342360923.jpg','图1*../upload/201207/1342361453.jpg|图2*../upload/201207/1342361225.jpg|图3*../upload/201207/1342361059.jpg','1','17','2012-07-15 22:06:09','2012-07-15 21:52:11','admin','0','0','','cn','','','','','','','','','','0','1','');
|
DROP TABLE phone_calls
|
CREATE DATABASE numismatics;
CREATE TABLE table1 (att_double DOUBLE PRIMARY KEY);
|
Replace into template_master (template_id, template_name, template, updated_by, created_by, updated_date, template_type_id) VALUES
('02fb1cb5-138c-11eb-9b1e-f48e38ab9348', 'jws-welcome', '<div>
<h1>Welcome to <@resourceBundleWithDefault "projectName" "JQuiver"/></h1>
<#if loggedInUser == true >
Welcome ${userName}
<a href="tsms/users">Users</a>
<a href="tsms/destinations">Destinations</a>
<#else>
<a href="/cf/register">Register here</a>
<a href="/cf/login">Login here</a>
</#if>
</div>
','aar.dev@trigyn.com','aar.dev@trigyn.com',now(), 2);
Replace into template_master (template_id, template_name, template, updated_by, created_by, updated_date, template_type_id) VALUES
('0c7acdf9-138c-11eb-9b1e-f48e38ab9348', 'jws-login', '
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="">
<meta name="author" content="">
<title>Please sign in</title>
<@templateWithoutParams "jws-common-css-js"/>
<script>
function showHidePassword(thisObj){
var element = $(thisObj).parent().find("input[name=''password'']");
if (element.prop("type") === "password") {
element.prop("type","text");
$(thisObj).find("i").removeClass("fa-eye");
$(thisObj).find("i").addClass("fa-eye-slash");
$("#password").focus();
} else {
element.prop("type","password");
$(thisObj).find("i").removeClass("fa-eye-slash");
$(thisObj).find("i").addClass("fa-eye");
$("#password").focus();
}
}
$(function(){
$("#reloadCaptcha").click(function(event){
$("#imgCaptcha").attr("src", $("#imgCaptcha").attr("src")+"#");
});
});
</script>
</head>
<body>
<div class="container">
<div class="row">
<div class="col-7">
<div class="loginbg"><img src="/webjars/1.0/images/LoginBg.jpg"></div>
</div>
<div class="col-5">
<h2 class="form-signin-heading text-center">Welcome To <span class="cm-logotext"><@resourceBundleWithDefault "projectName" "JQuiver"/></span>
</h2>
<#if authenticationType == "2">
<div>
<form class="form-signin" method="post" action="/cf/login" autocomplete="off">
<#if queryString?? && queryString == "error">
<#if exceptionMessage?? >
<div class="alert alert-danger" role="alert">${exceptionMessage}</div>
<#else>
<div class="alert alert-danger" role="alert">Bad Credentials</div>
</#if>
<#elseif queryString?? && queryString == "logout">
<div class="alert alert-success" role="alert">You have been signed out</div>
</#if>
<#if resetPasswordSuccess??>
<div class="alert alert-success" role="alert">${resetPasswordSuccess} </div>
</#if>
<p class="divdeform">
<label for="username" class="formlablename">Email</label>
<span class="formicosn"><i class="fa fa-user" aria-hidden="true"></i></span>
<input type="email" id="email" name="email" class="form-control" placeholder="Enter Your Email" required autofocus>
</p>
<#if !enableGoogleAuthenticator >
<p class="divdeform">
<label for="password" class="formlablename">Password</label>
<span class="formicosn"><i class="fa fa-unlock-alt" aria-hidden="true"></i></span>
<input type="password" id="password" name="password" class="form-control" placeholder="Enter Your Password" required>
<span class="passview" onclick="showHidePassword(this);"><i class="fa fa-eye" aria-hidden="true"></i></span>
</p>
<#if enableCaptcha >
<p>
<img id="imgCaptcha" name="imgCaptcha" src="/cf/captcha/loginCaptcha">
<span id="reloadCaptcha"><i class="fa fa-refresh" aria-hidden="true"></i></span>
<label for="captcha" class="sr-only">Enter Captcha</label>
<input type="text" id="captcha" name="captcha" class="form-control" placeholder="Enter Captcha" required autofocus >
</p>
</#if>
<span class="remebermeblock">
<input type="checkbox" name="remember-me" id="remember-me"> <label for="remember-me">Remember Me</label>
</span>
<span class="forgotpassword">
<a href="/cf/resetPasswordPage">Forgot password?</a>
</span>
<#else>
<p class="divdeform">
<label for="password" class="formlablename">Enter TOTP</label>
<input type="text" id="password" name="password" class="form-control" placeholder="Enter TOTP" required autofocus >
</p>
<span class="remebermeblock">
<input type="checkbox" name="remember-me" id="remember-me"> <label for="remember-me">Remeber Me</label>
</span>
<span class="forgotpassword">
<a href="/cf/configureTOTP">Not Configured? Click here</a>
</span>
</#if>
<button class="btn btn-lg btn-primary btn-block" type="submit">Sign in</button>
<#if enableRegistration?? && enableRegistration?string("yes", "no") == "yes" >
<p class="registerlink">New User?
<a href="/cf/register"> Click here to register</a>
</p>
</#if>
</form>
</div>
<#elseif authenticationType == "4">
<#if client?? && client == "office365" >
<div class="block-wrap">
<div>
<a class="btn-microsoft" href="/oauth2/authorization/office365">
<div class="ms-content">
<div class="logo">
<img src="/webjars/1.0/images/jc-microsoft.svg">
</div>
<p>Sign in with Microsoft</p>
</div>
</a>
</div>
<#elseif client?? && client == "google" >
<div class="block-wrap">
<div>
<a class="btn-google" href="/oauth2/authorization/google">
<div class="google-content">
<div class="logo">
<img src="/webjars/1.0/images/jc-google.svg">
</div>
<p>Sign in with Google</p>
</div>
</a>
</div>
</div>
<#elseif client?? && client == "facebook" >
<div class="block-wrap">
<div>
<a class="btn-fb" href="/oauth2/authorization/facebook">
<div class="fb-content">
<div class="logo">
<img src="/webjars/1.0/images/jc-facebook.svg">
</div>
<p>Sign in with Facebook</p>
</div>
</a>
</div>
</div>
</#if>
</div>
</#if>
</div>
</div>
</div>
</body></html>','aar.dev@trigyn.com','aar.dev@trigyn.com',now(), 2);
|
DROP DATABASE IF EXISTS hr_db;
CREATE DATABASE hr_db;
USE hr_db;
CREATE TABLE departments(
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(30) NOT NULL UNIQUE
);
CREATE TABLE jobroles(
id INT AUTO_INCREMENT PRIMARY KEY,
title VARCHAR(30),
salary DECIMAL(10,2),
department_id INT,
FOREIGN KEY (department_id) REFERENCES departments(id) ON DELETE SET NULL
);
CREATE TABLE employees(
id INT AUTO_INCREMENT PRIMARY KEY,
first_name VARCHAR(30),
last_name VARCHAR(30),
role_id INT,
manager_id INT DEFAULT NULL,
FOREIGN KEY (role_id) REFERENCES jobroles(id),
CONSTRAINT selfkey FOREIGN KEY (manager_id) REFERENCES employees(id) ON DELETE SET NULL
);
|
DELETE FROM {{schema | sqlsafe}}.reporting_gcp_compute_summary_by_project_p
WHERE usage_start >= {{start_date}}::date
AND usage_start <= {{end_date}}::date
AND source_uuid = {{source_uuid}}
AND invoice_month = {{invoice_month}}
;
INSERT INTO {{schema | sqlsafe}}.reporting_gcp_compute_summary_by_project_p (
id,
usage_start,
usage_end,
instance_type,
usage_amount,
unit,
unblended_cost,
markup_cost,
currency,
project_id,
project_name,
account_id,
source_uuid,
invoice_month,
credit_amount
)
SELECT uuid_generate_v4() as id,
usage_start,
usage_start as usage_end,
instance_type,
sum(usage_amount) as usage_amount,
MAX(unit) AS unit,
SUM(unblended_cost) AS unblended_cost,
SUM(markup_cost) AS markup_cost,
MAX(currency) AS currency,
project_id,
project_name,
account_id,
max(source_uuid::text)::uuid as source_uuid,
invoice_month,
SUM(credit_amount) AS credit_amount
FROM {{schema | sqlsafe}}.reporting_gcpcostentrylineitem_daily_summary
WHERE usage_start >= {{start_date}}::date
AND usage_start <= {{end_date}}::date
AND source_uuid = {{source_uuid}}
AND invoice_month = {{invoice_month}}
GROUP BY usage_start, instance_type, project_id, project_name, account_id, invoice_month
;
|
version https://git-lfs.github.com/spec/v1
oid sha256:06405bf930b71ea60ddd74d6f00be9f7c05c12dd98218e5ae431565ae29cbb6e
size 2199
|
# Host: localhost (Version 5.5.5-10.1.38-MariaDB)
# Date: 2019-05-06 21:00:38
# Generator: MySQL-Front 6.1 (Build 1.26)
#
# Structure for table "ap_absensi"
#
DROP TABLE IF EXISTS `ap_absensi`;
CREATE TABLE `ap_absensi` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`agenda_id` int(11) DEFAULT NULL,
`code` varchar(10) DEFAULT NULL,
`status` tinyint(1) DEFAULT '0',
`user_id` int(11) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
#
# Data for table "ap_absensi"
#
#
# Structure for table "ap_agenda"
#
DROP TABLE IF EXISTS `ap_agenda`;
CREATE TABLE `ap_agenda` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`nama` varchar(60) DEFAULT NULL,
`deskripsi` varchar(255) DEFAULT NULL,
`lokasi` varchar(50) DEFAULT NULL,
`tanggal` datetime DEFAULT '0000-00-00 00:00:00',
`status` tinyint(1) DEFAULT '1',
`user_created` int(11) DEFAULT NULL,
`user_updated` int(11) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=latin1;
#
# Data for table "ap_agenda"
#
INSERT INTO `ap_agenda` VALUES (1,'Agenda Minggu Ini',NULL,'Jakarta','2019-04-10 00:00:00',1,1,NULL,'2019-04-05 23:32:08',NULL),(2,'Pesta Kantor',NULL,'Gaharu','2019-04-24 00:00:00',1,1,NULL,'2019-04-05 23:32:26',NULL),(4,'Peringatan 17 Agustus','<p>Membawa baju merah</p><p>menyantikan lagu indonesia raya</p><p>makan sate kambing</p>','Gaharu','2019-04-22 00:00:00',1,1,NULL,'2019-04-09 21:27:21',NULL);
#
# Structure for table "ap_commitment"
#
DROP TABLE IF EXISTS `ap_commitment`;
CREATE TABLE `ap_commitment` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) DEFAULT NULL,
`name` varchar(50) DEFAULT NULL,
`company` varchar(60) DEFAULT NULL,
`confirmed` tinyint(1) DEFAULT NULL,
`time` varchar(60) DEFAULT NULL,
`note` varchar(100) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`update_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=28 DEFAULT CHARSET=latin1;
#
# Data for table "ap_commitment"
#
INSERT INTO `ap_commitment` VALUES (2,1,'Aditya Pratama','AQN',1,'Weekdays after office hour','Note','2019-04-11 10:51:55',NULL),(3,2,'Adtiya Pratama','AQN',0,'Weekdays','No','2019-05-05 15:49:14',NULL),(4,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(5,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(6,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(7,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(8,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(9,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(10,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(11,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(12,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(13,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(14,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(15,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 16:28:29',NULL),(16,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(17,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(18,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(19,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(20,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(21,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(22,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(23,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(24,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(25,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(26,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:24',NULL),(27,NULL,'Adit','AQN',1,'Weekend',NULL,'2019-05-05 17:02:25',NULL);
#
# Structure for table "ap_users"
#
DROP TABLE IF EXISTS `ap_users`;
CREATE TABLE `ap_users` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`email` varchar(50) NOT NULL DEFAULT '',
`name` varchar(60) DEFAULT NULL,
`session` varchar(255) DEFAULT NULL,
`password` varchar(35) NOT NULL DEFAULT '',
`role` enum('admin','komite','member') DEFAULT NULL,
`status` tinyint(1) DEFAULT '0',
`created_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=latin1;
#
# Data for table "ap_users"
#
INSERT INTO `ap_users` VALUES (1,'admin@admin.com','admin','d94c8e00212ffa0751d24352dc2b7976','21232f297a57a5a743894a0e4a801fc3','admin',1,'2019-03-28 14:07:43','2019-05-06 20:40:05'),(2,'komite@komite.com','komite','4ce27ca1a8f2669f337f7797a623c07e','ea6068f0e761c6f07f80d58dfde5c00b','komite',1,'2019-04-05 22:05:47','2019-05-06 20:39:55'),(3,'member@member.com','member','9014324e091435463974b0be4c7ca196','aa08769cdcb26674c6706093503ff0a3','member',1,'2019-04-05 22:07:00','2019-04-05 22:07:19');
|
-- TO CREATE/POPULATE DATABASE, GO TO ROOT PROJECT FOLDER
-- dropdb ling; createdb ling; psql ling -af create.sql
-- psql ling -af load.sql
CREATE TABLE Authors
(name VARCHAR(256) NOT NULL,
-- birthdate INTEGER CHECK(birthdate < date_part('year', current_date)),
PRIMARY KEY(name));
CREATE TABLE Books
(uid INTEGER NOT NULL PRIMARY KEY,
title VARCHAR(256) NOT NULL,
author VARCHAR(256) NOT NULL REFERENCES Authors(name),
words_per_sentence INTEGER NOT NULL,
num_words INTEGER NOT NULL);
CREATE FUNCTION GetAuthorStats(queried_author VARCHAR(256))
RETURNS TABLE(author VARCHAR(256), avg_words_per_sentence NUMERIC(10, 1), avg_num_words INTEGER, books_written BIGINT) AS $$
BEGIN
RETURN QUERY SELECT Books.author, CAST(AVG(Books.words_per_sentence) AS DECIMAL(10, 1)), CAST(AVG(Books.num_words) AS INTEGER), COUNT(Books.title) FROM Books WHERE Books.author = queried_author GROUP BY Books.author;
END;
$$ LANGUAGE plpgsql;
|
SELECT password,mail,user_id FROM public."User" WHERE user_id=/* user.getUserId() */'U1';
|
-- original: corrupt8.test
-- credit: http://www.sqlite.org/src/tree?ci=trunk&name=test
PRAGMA auto_vacuum=1;
PRAGMA page_size=1024;
CREATE TABLE t1(x);
INSERT INTO t1(x) VALUES(1);
INSERT INTO t1(x) VALUES(2);
INSERT INTO t1(x) SELECT x+2 FROM t1;
INSERT INTO t1(x) SELECT x+4 FROM t1;
INSERT INTO t1(x) SELECT x+8 FROM t1;
INSERT INTO t1(x) SELECT x+16 FROM t1;
INSERT INTO t1(x) SELECT x+32 FROM t1;
INSERT INTO t1(x) SELECT x+64 FROM t1;
INSERT INTO t1(x) SELECT x+128 FROM t1;
INSERT INTO t1(x) SELECT x+256 FROM t1;
CREATE TABLE t2(a,b);
INSERT INTO t2 SELECT x, x*x FROM t1
;PRAGMA integrity_check
;PRAGMA integrity_check
;PRAGMA integrity_check
;PRAGMA integrity_check;
|
-- file:tstypes.sql ln:104 expect:true
SELECT 'supeznova supernova'::tsvector @@ 'super'::tsquery AS "false"
|
-- 菜单SQL
INSERT INTO `sys_menu` (`parent_id`, `name`, `url`, `perms`, `type`, `icon`, `order_num`)
VALUES ('1', 'spu信息介绍', 'product/spuinfodesc', NULL, '1', 'config', '6');
-- 按钮父菜单ID
set @parentId = @@identity;
-- 菜单对应按钮SQL
INSERT INTO `sys_menu` (`parent_id`, `name`, `url`, `perms`, `type`, `icon`, `order_num`)
SELECT @parentId, '查看', null, 'product:spuinfodesc:list,product:spuinfodesc:info', '2', null, '6';
INSERT INTO `sys_menu` (`parent_id`, `name`, `url`, `perms`, `type`, `icon`, `order_num`)
SELECT @parentId, '新增', null, 'product:spuinfodesc:save', '2', null, '6';
INSERT INTO `sys_menu` (`parent_id`, `name`, `url`, `perms`, `type`, `icon`, `order_num`)
SELECT @parentId, '修改', null, 'product:spuinfodesc:update', '2', null, '6';
INSERT INTO `sys_menu` (`parent_id`, `name`, `url`, `perms`, `type`, `icon`, `order_num`)
SELECT @parentId, '删除', null, 'product:spuinfodesc:delete', '2', null, '6';
|
USE osmt_db;
SET NAMES utf8mb3;
SET character_set_client = utf8mb3;
-- Stored procedure for CREATE INDEX IF NOT EXIST
DELIMITER $$
DROP PROCEDURE IF EXISTS `osmt_db`.`createIndexIfNotExist` $$
CREATE PROCEDURE `osmt_db`.`createIndexIfNotExist` (tableName VARCHAR(128), in indexName VARCHAR(128), in indexColumns VARCHAR(128))
BEGIN
IF((SELECT COUNT(*) AS index_exists FROM information_schema.statistics WHERE TABLE_SCHEMA = DATABASE() AND table_name = tableName AND index_name = indexName) = 0) THEN
SET @sqlCommand = CONCAT('CREATE INDEX ' , indexName, ' ON ', tableName, '(', indexColumns , ')');
PREPARE _preparedStatement FROM @sqlCommand;
EXECUTE _preparedStatement;
END IF;
END $$
DELIMITER ;
--
-- Table structure for table `AuditLog`
--
CREATE TABLE IF NOT EXISTS `AuditLog`
(
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`creationDate` datetime(6) NOT NULL,
`user` varchar(256) NOT NULL,
`operationType` varchar(128) NOT NULL,
`tableName` varchar(128) NOT NULL,
`entityId` bigint(20) NOT NULL,
`changedFields` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE = InnoDB
AUTO_INCREMENT = 5;
--
-- Table structure for table `JobCode`
--
CREATE TABLE IF NOT EXISTS `JobCode`
(
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`creationDate` datetime(6) NOT NULL,
`updateDate` datetime(6) NOT NULL,
`code` varchar(128) NOT NULL,
`name` varchar(1024) DEFAULT NULL,
`major` varchar(1024) DEFAULT NULL,
`minor` varchar(1024) DEFAULT NULL,
`broad` varchar(1024) DEFAULT NULL,
`detailed` varchar(1024) DEFAULT NULL,
`description` text,
`framework` varchar(1024) DEFAULT NULL,
`url` varchar(1024) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `idx_JobCode_code` (`code`)
) ENGINE = InnoDB;
--
-- Table structure for table `Keyword`
--
CREATE TABLE IF NOT EXISTS `Keyword`
(
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`creationDate` datetime(6) NOT NULL,
`updateDate` datetime(6) NOT NULL,
`value` varchar(768),
`uri` varchar(768),
`keyword_type_enum` enum ('Category','Keyword','Standard','Certification','Alignment','Employer','Author') NOT NULL,
KEY `idx_Keyword_value` (`keyword_type_enum`, `value`),
KEY `idx_Keyword_uri` (`keyword_type_enum`, `uri`),
PRIMARY KEY (`id`)
) ENGINE = InnoDB;
CREATE TABLE IF NOT EXISTS `PublishStatus`
(
`id` bigint(20) NOT NULL,
`name` varchar(64) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE = InnoDB
AUTO_INCREMENT = 1;
--
-- Dumping data for table `PublishStatus`
--
LOCK TABLES `PublishStatus` WRITE;
/*!40000 ALTER TABLE `PublishStatus`
DISABLE KEYS */;
INSERT IGNORE INTO `PublishStatus`
VALUES (0, 'Unpublished'),
(1, 'Published'),
(2, 'Archived');
/*!40000 ALTER TABLE `PublishStatus`
ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `RichSkillDescriptor`xf
--
CREATE TABLE IF NOT EXISTS `RichSkillDescriptor`
(
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`creationDate` datetime(6) NOT NULL,
`updateDate` datetime(6) NOT NULL,
`uuid` varchar(36) NOT NULL,
`name` text NOT NULL,
`statement` text NOT NULL,
`cat_id` bigint(20) DEFAULT NULL,
`publish_status_id` bigint(20) NOT NULL,
`author_id` bigint(20) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `RichSkillDescriptor_uuid_unique` (`uuid`),
KEY `fk_RichSkillDescriptor_cat_id_id` (`cat_id`),
KEY `fk_RichSkillDescriptor_author_id_id` (`author_id`),
KEY `fk_RichSkillDescriptor_publish_status_id_id` (`publish_status_id`),
CONSTRAINT `fk_RichSkillDescriptor_cat_id_id` FOREIGN KEY (`cat_id`) REFERENCES `Keyword` (`id`) ON DELETE RESTRICT ON UPDATE CASCADE,
CONSTRAINT `fk_RichSkillDescriptor_author_id_id` FOREIGN KEY (`author_id`) REFERENCES `Keyword` (`id`) ON DELETE RESTRICT ON UPDATE CASCADE,
CONSTRAINT `fk_RichSkillDescriptor_publish_status_id_id` FOREIGN KEY (`publish_status_id`) REFERENCES `PublishStatus` (`id`) ON DELETE RESTRICT ON UPDATE CASCADE
) ENGINE = InnoDB
AUTO_INCREMENT = 3;
--
-- Table structure for table `RichSkillJobCodes`
--
CREATE TABLE IF NOT EXISTS `RichSkillJobCodes`
(
`richskill_id` bigint(20) NOT NULL,
`jobcode_id` bigint(20) NOT NULL,
PRIMARY KEY (`richskill_id`, `jobcode_id`),
KEY `fk_RichSkillKeywords_richskill_id_id` (`richskill_id`),
KEY `fk_RichSkillJobCodes_jobcode_id_id` (`jobcode_id`),
CONSTRAINT `fk_RichSkillJobCodes_jobcode_id_id` FOREIGN KEY (`jobcode_id`) REFERENCES `JobCode` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `fk_RichSkillJobCodes_richskill_id_id` FOREIGN KEY (`richskill_id`) REFERENCES `RichSkillDescriptor` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE = InnoDB;
--
-- Table structure for table `RichSkillKeywords`
--
CREATE TABLE IF NOT EXISTS `RichSkillKeywords`
(
`richskill_id` bigint(20) NOT NULL,
`keyword_id` bigint(20) NOT NULL,
PRIMARY KEY (`richskill_id`, `keyword_id`),
KEY `fk_RichSkillKeywords_richskill_id_id` (`richskill_id`),
KEY `fk_RichSkillKeywords_keyword_id_id` (`keyword_id`),
CONSTRAINT `fk_RichSkillKeywords_keyword_id_id` FOREIGN KEY (`keyword_id`) REFERENCES `Keyword` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `fk_RichSkillKeywords_richskill_id_id` FOREIGN KEY (`richskill_id`) REFERENCES `RichSkillDescriptor` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE = InnoDB;
CREATE TABLE IF NOT EXISTS `Collection`
(
`id` BIGINT(20) AUTO_INCREMENT PRIMARY KEY,
`creationDate` DATETIME(6) NOT NULL,
`updateDate` DATETIME(6) NOT NULL,
`uuid` VARCHAR(36) NOT NULL,
`name` TEXT NOT NULL,
`author_id` BIGINT NULL,
CONSTRAINT fk_Collection_author_id_id
FOREIGN KEY (author_id) REFERENCES Keyword (id) ON DELETE RESTRICT ON UPDATE CASCADE
) ENGINE = InnoDB;
CREATE TABLE IF NOT EXISTS CollectionSkills
(
collection_id BIGINT(20) NOT NULL,
skill_id BIGINT(20) NOT NULL,
CONSTRAINT PK_CollectionSkills_c_rs PRIMARY KEY (collection_id, skill_id),
CONSTRAINT fk_CollectionSkills_collection_id_id FOREIGN KEY (collection_id) REFERENCES Collection (id) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT fk_CollectionSkills_skill_id_id FOREIGN KEY (skill_id) REFERENCES RichSkillDescriptor (id) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE = InnoDB;
CALL createIndexIfNotExist('CollectionSkills', 'CollectionSkills_collection_id', 'collection_id');
CALL createIndexIfNotExist('CollectionSkills', 'CollectionSkills_skill_id', 'skill_id');
#CREATE INDEX CollectionSkills_collection_id ON CollectionSkills (collection_id);
#CREATE INDEX CollectionSkills_skill_id ON CollectionSkills (skill_id);
|
insert into positions(person, organization, title, start_date, start_date_precision, end_date, end_date_precision, urls, notes, employment_type, cause_area) values
('Michelle Graham', 'Wild Animal Initiative', 'Researcher', '2019-03-01', 'month', '2019-07-01', 'month', 'https://web.archive.org/web/20190428232757if_/https://www.wildanimalinitiative.org/about https://www.linkedin.com/in/michellegraham2/', NULL, NULL, 'Animal welfare')
,('Michelle Graham', 'Wild Animal Initiative', 'Executive Director', '2019-07-01', 'month', NULL, NULL, 'https://web.archive.org/web/20191010204226if_/https://www.wildanimalinitiative.org/who-we-are https://www.linkedin.com/in/michellegraham2/ https://www.wildanimalinitiative.org/about-us', NULL, NULL, 'Animal welfare')
,('Cameron Meyer Shorb', 'Wild Animal Initiative', 'Deputy Director', '2019-07-01', 'month', NULL, NULL, 'https://web.archive.org/web/20191010204226if_/https://www.wildanimalinitiative.org/who-we-are https://www.linkedin.com/in/cameron-meyer-shorb/ https://www.wildanimalinitiative.org/about-us', NULL, NULL, 'Animal welfare')
,('Stien van der Ploeg', 'Wild Animal Initiative', 'Special Projects Advisor', '2020-07-01', 'month', '2021-03-01', 'month', 'https://web.archive.org/web/20201227124714/https://www.wildanimalinitiative.org/about-us https://www.linkedin.com/in/stienvanderploeg/', NULL, NULL, 'Animal welfare')
,('Stien van der Ploeg', 'Wild Animal Initiative', 'Board Treasurer', '2021-03-01', 'month', NULL, NULL, 'https://www.linkedin.com/in/stienvanderploeg/', NULL, NULL, 'Animal welfare')
,('James Faville', 'Wild Animal Initiative', 'Strategic Planning Intern', '2020-06-01', 'month', NULL, NULL, 'https://www.linkedin.com/in/james-faville/ https://www.wildanimalinitiative.org/about-us', NULL, 'Intern', 'Animal welfare')
,('Suzanne Van Arsdale', 'Wild Animal Initiative', 'Biotechnology Legal Fellow', '2020-07-01', 'month', NULL, NULL, 'https://www.linkedin.com/in/svanarsdale/ https://www.wildanimalinitiative.org/about-us', NULL, NULL, 'Animal welfare')
,('Luke Hecht', 'Wild Animal Initiative', 'Researcher', '2019-04-01', 'month', NULL, NULL, 'https://web.archive.org/web/20190423035053if_/https://www.wildanimalinitiative.org/about https://www.linkedin.com/in/lbbhecht/?originalSubdomain=uk', NULL, NULL, 'Animal welfare')
,('Jane Capozzelli', 'Wild Animal Initiative', 'Researcher', '2019-01-01', 'year', NULL, NULL, 'https://web.archive.org/web/20191021070726if_/https://www.wildanimalinitiative.org/who-we-are', NULL, NULL, 'Animal welfare')
,('Simon Eckerström Liedholm', 'Wild Animal Initiative', 'Postdoctoral Research Fellow', '2019-01-01', 'Year', NULL, NULL, 'https://web.archive.org/web/20191010204226if_/https://www.wildanimalinitiative.org/who-we-are https://www.linkedin.com/in/simon-eckerstrom-577464106/', NULL, NULL, 'Animal welfare')
,('Hollis Howe', 'Wild Animal Initiative', 'Research Communications Specialist', '2019-01-01', 'month', NULL, NULL, 'https://web.archive.org/web/20190125192248/https://www.wildanimalinitiative.org/about https://www.linkedin.com/in/hollis-howe-667953160/', NULL, NULL, 'Animal welfare')
,('Abraham Rowe', 'Wild Animal Initiative', 'Executive Director', '2019-01-01', NULL, '2019-01-01', 'year', 'https://web.archive.org/web/20190125192248/https://www.wildanimalinitiative.org/about', NULL, NULL, 'Animal welfare')
,('Chloë Cudaback', 'Wild Animal Initiative', 'Communications & Outreach Manager', '2019-01-01', 'month', '2019-06-01', 'month', 'https://web.archive.org/web/20190125192248/https://www.wildanimalinitiative.org/about https://www.linkedin.com/in/chloecudaback/', NULL, NULL, 'Animal welfare')
,('Maia Laperle', 'Wild Animal Initiative', 'Podcast Producer & Host', '2019-01-01', 'month', '2020-01-01', 'month', 'https://web.archive.org/web/20190125192248/https://www.wildanimalinitiative.org/about', NULL, NULL, 'Animal welfare')
,('Cole Helsell', 'Wild Animal Initiative', 'Advisory Board', '2019-01-01', NULL, '2019-01-01', 'year', 'https://web.archive.org/web/20190125192248/https://www.wildanimalinitiative.org/about', NULL, 'Advisor', 'Animal welfare')
,('Flor Serna', 'Wild Animal Initiative', 'Advisory Board', '2019-05-01', 'month', '2020-10-01', 'month', 'https://web.archive.org/web/20190125192248/https://www.wildanimalinitiative.org/about https://www.linkedin.com/in/florserna/', NULL, 'Advisor', 'Animal welfare')
|
-- distribution linkrot binned by year without shakemap
with m as (
select response_id, round((online->>'status')::text::int, -2) as status_code
from metadata_completeness,
json_array_elements(distributions->'online') online
), a as (
select extract(year from metadata_age) as the_year,
count(id) as responses_per_year
from responses
where metadata_age is not null and host != 'earthquake.usgs.gov'
group by the_year
)
select a.the_year, m.status_code, count(m.status_code) as num_per_status
from responses r join m on m.response_id = r.id
join a on a.the_year = extract(year from r.metadata_age)
where r.metadata_age is not null
group by a.the_year, m.status_code
order by a.the_year, m.status_code ASC;
|
SELECT x FROM (SELECT arrayJoin(['Hello', 'Goodbye']) AS x, [1, 2, 3] AS arr) ARRAY JOIN arr
|
begin;
select plan(3);
\i tests/test_support/base-docs-setup.sql
select load_single_document(
(select id from public_api.document_type where name = 'legislation.gov.uk'),
'/demo_data/revisions/618_v2.xml'
);
select set_eq($$
select revision_number,latest from public_api.document where pk = '/uksi/2002/618'
$$,
$$
values (0,false),(1,true)
$$);
select throws_ok($$
delete from public_api.document where pk = '/uksi/2002/618' and latest is false;
$$);
delete from public_api.document where pk = '/uksi/2002/618' and latest is true;
select set_eq($$
select revision_number,latest from public_api.document where pk = '/uksi/2002/618'
$$,
$$
values (0,true)
$$);
rollback;
|
-- salesdb
/* QUESTION 1
Perform an anti-join that returns the SalesIDs of customers with no middle name
*/
/* QUESTION 2
Perform an anti-join of your choosing on any other dataset.
Describe what the result of the query represents (in plain English).
*/
/* QUESTION 3
Return the Employee First name and last name, as one column, of employees who have sold a "Hex Nut". There should be no repetitions. Alias the resulting column as "full_name".
You are encouraged to inspect the appropriate table before creating the query. This query could take quite long to run if you select unnecessary columns
*/
/* QUESTION 4
The police are investigating your business, looking for an alleged theif. The only thing they know about the suspect is that they have no middle name but have bought something at your shop.
The police are requesting a list of all your customers (first name, middle initial and last name), as a single column. Fill in the NULL values with an initial of your choosing to avoid anyone being arested.
Rename the column so the police aren't suspicious.
*/
/* QUESTION 5
The police have noticed that one middle initial occurs much more frequently then the others and are questioning if you have tampered with the records.
You apologise profusely and blame it on a technical problem. Build another query that emulates a more natural distribution of middle initials (use CASE WHEN and/or IF)
*/
-- carcinogenesis
/* QUESTION 6
Recall the simple query we did using IF. It created a column with the values we specified (much like COALESCE).
Now, inspect the canc table. Create a query that describes a drug based on its class. Ie if its in class 1 it should say "yes" and if 0 it should say "no". Alias the column with a name of your choosing
*/
-- walmart
/* QUESTION 7
What days of the week has the sun risen at 7am (correct to 1 min)? Use CAST(expression AS datatype).
Can you execute the query without using CAST()?
*/
/* QUESTION 8
How many days have passed since each of these sunrises were recorded?
*/
/* QUESTION 9
On what days of the week did these sunrises happen? Create a view with a query that allows you to answer this question. Give it a unique name.
*/
/* QUESTION 10
Does any day of the week occur more often than the rest? Use the view created in Q9 to help you determine what the mode(s) is/are.
*/
|
BEGIN;
-- Application: authority
-- Model: Permission
ALTER TABLE "authority_permission"
ADD "date_requested" timestamp with time zone;
ALTER TABLE "authority_permission"
ADD "approved" boolean;
ALTER TABLE "authority_permission"
ADD "date_approved" timestamp with time zone;
UPDATE "authority_permission"
SET "approved" = True;
UPDATE "authority_permission"
SET "date_approved" = NOW();
COMMIT;
|
-- This file contains SQL statements that will be executed before the build script.
|
-- phpMyAdmin SQL Dump
-- version 5.0.3
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 29, 2021 at 03:09 PM
-- Server version: 10.4.14-MariaDB
-- PHP Version: 7.2.34
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `db_psb_pgri`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`id` int(11) NOT NULL,
`username` varchar(20) NOT NULL,
`password` varchar(20) NOT NULL,
`recover` varchar(20) DEFAULT NULL,
`keterangan` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`id`, `username`, `password`, `recover`, `keterangan`) VALUES
(1, 'admin32', 'admin32', NULL, '');
-- --------------------------------------------------------
--
-- Table structure for table `setting`
--
CREATE TABLE `setting` (
`id` int(11) NOT NULL,
`tgl_pendaftaran` date NOT NULL,
`tlp_operator` varchar(50) NOT NULL,
`tanggal` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `setting`
--
INSERT INTO `setting` (`id`, `tgl_pendaftaran`, `tlp_operator`, `tanggal`) VALUES
(1, '2018-03-19', '088888888', '2018-02-14');
-- --------------------------------------------------------
--
-- Table structure for table `tb_admin`
--
CREATE TABLE `tb_admin` (
`id` int(11) NOT NULL,
`email_admin` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tb_admin`
--
INSERT INTO `tb_admin` (`id`, `email_admin`, `password`) VALUES
(0, 'admin32', 'a0ec99b64a6cb5129ec685b0c49cca44');
-- --------------------------------------------------------
--
-- Table structure for table `tb_akun`
--
CREATE TABLE `tb_akun` (
`id` int(11) NOT NULL,
`nama_lengkap` varchar(255) NOT NULL,
`email_akun` varchar(255) NOT NULL,
`password_akun` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tb_akun`
--
INSERT INTO `tb_akun` (`id`, `nama_lengkap`, `email_akun`, `password_akun`) VALUES
(1, 'Heri Prastio', 'heri.prastio56@gmail.com', '$2y$10$DGEnI1ieqBFAAQLEzJCSHeprepMq1AQ5jkpQWORb5vB7Apfv8rAFi'),
(2, 'Android', 'android@gmail.com', '$2y$10$7CokPtTau9I1rCw2wCeRYelVHxaGbF1cBvk42pPOVJBDS8TKtICgS'),
(3, 'akun', 'akun@gmail.com', '$2y$10$YNt1qW8RiGRD0TA/Q3FmkebNsmXOqZ5DvRup4q6CWJGzKU1LM9num');
-- --------------------------------------------------------
--
-- Table structure for table `tb_calon_siswa`
--
CREATE TABLE `tb_calon_siswa` (
`user_id` int(11) NOT NULL,
`user_email` varchar(50) NOT NULL,
`user_password` varchar(50) NOT NULL,
`nama_lengkap` varchar(255) NOT NULL,
`tanggal_lahir` date DEFAULT NULL,
`tempat_lahir` varchar(255) NOT NULL,
`jenis_kelamin` varchar(10) NOT NULL,
`agama` varchar(20) NOT NULL,
`alamat` text NOT NULL,
`nama_ibu_kandung` varchar(255) NOT NULL,
`nama_ayah_kandung` varchar(255) NOT NULL,
`pekerjaan_ibu` varchar(255) NOT NULL,
`pekerjaan_ayah` varchar(255) NOT NULL,
`penghasilan_ayah` decimal(10,0) NOT NULL,
`penghasilan_ibu` decimal(10,0) NOT NULL,
`sd_asal` text NOT NULL,
`un_total` varchar(5) NOT NULL,
`foto_calon_siswa` varchar(255) NOT NULL,
`tanggal` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tb_calon_siswa`
--
INSERT INTO `tb_calon_siswa` (`user_id`, `user_email`, `user_password`, `nama_lengkap`, `tanggal_lahir`, `tempat_lahir`, `jenis_kelamin`, `agama`, `alamat`, `nama_ibu_kandung`, `nama_ayah_kandung`, `pekerjaan_ibu`, `pekerjaan_ayah`, `penghasilan_ayah`, `penghasilan_ibu`, `sd_asal`, `un_total`, `foto_calon_siswa`, `tanggal`) VALUES
(5, 'heri.prastio56@gmail.com', '827ccb0eea8a706c4c34a16891f84e7b', '', NULL, '', '', '', '', '', '', '', '', '0', '0', '', '', '', '0000-00-00'),
(7, '', '', 'RI Tes', '1995-09-22', 'Jakarta', '1', '1', 'Tes', 'Tes', 'Abc', 'Def', 'KA', '0', '0', 'San Fras', '', '75HUTRI7.jpg', '2021-01-29'),
(8, '', '', 'Akun PSB', '2021-01-28', 'Jakarta', 'Laki-laki', 'Islam', 'JL. TES', 'Tes', 'tes', 'Tis', 'Tes', '0', '0', 'JL. TES TEXT', '80.00', 'logopgrismpmini2.png', '2021-01-29');
-- --------------------------------------------------------
--
-- Table structure for table `tb_date`
--
CREATE TABLE `tb_date` (
`id` int(11) NOT NULL,
`date` date NOT NULL,
`foto` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tb_date`
--
INSERT INTO `tb_date` (`id`, `date`, `foto`) VALUES
(1, '1997-02-22', '');
-- --------------------------------------------------------
--
-- Table structure for table `tb_informasi`
--
CREATE TABLE `tb_informasi` (
`id` int(11) NOT NULL,
`judul_pengumuman` varchar(255) NOT NULL,
`isi_pengumuman` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tb_informasi`
--
INSERT INTO `tb_informasi` (`id`, `judul_pengumuman`, `isi_pengumuman`) VALUES
(1, 'Informasi Petunjuk Pendaftaran PSB Tahun 2020', '<li class=\"font-weight-bold\">Peserta mendaftar pendaftaran siswa baru melalui portal dashboard siswa</li> <li class=\"font-weight-bold\">Pendaftaran siswa baru melalui secara online</li> <li class=\"font-weight-bold\">Jika sudah mendaftar calon siswa pilih menu print, lalu cetak print bukti pendaftaran siswa</li>');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tb_admin`
--
ALTER TABLE `tb_admin`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tb_akun`
--
ALTER TABLE `tb_akun`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tb_calon_siswa`
--
ALTER TABLE `tb_calon_siswa`
ADD PRIMARY KEY (`user_id`);
--
-- Indexes for table `tb_date`
--
ALTER TABLE `tb_date`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tb_informasi`
--
ALTER TABLE `tb_informasi`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `tb_akun`
--
ALTER TABLE `tb_akun`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `tb_calon_siswa`
--
ALTER TABLE `tb_calon_siswa`
MODIFY `user_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `tb_date`
--
ALTER TABLE `tb_date`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `tb_informasi`
--
ALTER TABLE `tb_informasi`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
create table ACT_HI_PROCINST (
ID_ varchar(64) not null,
PROC_INST_ID_ varchar(64) not null,
BUSINESS_KEY_ varchar(255),
PROC_DEF_ID_ varchar(64) not null,
START_TIME_ timestamp not null,
END_TIME_ timestamp,
DURATION_ bigint,
START_USER_ID_ varchar(255),
START_ACT_ID_ varchar(255),
END_ACT_ID_ varchar(255),
SUPER_PROCESS_INSTANCE_ID_ varchar(64),
DELETE_REASON_ varchar(4000),
TENANT_ID_ varchar(255) default '',
NAME_ varchar(255),
primary key (ID_)
);
alter table ACT_HI_PROCINST add constraint PROC_INST_ID_ unique(PROC_INST_ID_);
create table ACT_HI_ACTINST (
ID_ varchar(64) not null,
PROC_DEF_ID_ varchar(64) not null,
PROC_INST_ID_ varchar(64) not null,
EXECUTION_ID_ varchar(64) not null,
ACT_ID_ varchar(255) not null,
TASK_ID_ varchar(64),
CALL_PROC_INST_ID_ varchar(64),
ACT_NAME_ varchar(255),
ACT_TYPE_ varchar(255) not null,
OWNER_ varchar(64),
ASSIGNEE_ varchar(255),
START_TIME_ timestamp not null,
END_TIME_ timestamp,
DURATION_ bigint,
TENANT_ID_ varchar(255) default '',
primary key (ID_)
);
create table ACT_HI_TASKINST (
ID_ varchar(64) not null,
PROC_DEF_ID_ varchar(64),
TASK_DEF_KEY_ varchar(255),
PROC_INST_ID_ varchar(64),
EXECUTION_ID_ varchar(64),
NAME_ varchar(255),
PARENT_TASK_ID_ varchar(64),
DESCRIPTION_ varchar(4000),
OWNER_ varchar(255),
ASSIGNEE_ varchar(255),
START_TIME_ timestamp not null,
CLAIM_TIME_ timestamp,
END_TIME_ timestamp,
DURATION_ bigint,
DELETE_REASON_ varchar(4000),
PRIORITY_ integer,
DUE_DATE_ timestamp,
FORM_KEY_ varchar(255),
CATEGORY_ varchar(255),
TENANT_ID_ varchar(255) default '',
primary key (ID_)
);
create table ACT_HI_VARINST (
ID_ varchar(64) not null,
PROC_INST_ID_ varchar(64),
EXECUTION_ID_ varchar(64),
TASK_ID_ varchar(64),
NAME_ varchar(255) not null,
VAR_TYPE_ varchar(100),
REV_ integer,
BYTEARRAY_ID_ varchar(64),
DOUBLE_ double precision,
LONG_ bigint,
TEXT_ varchar(4000),
TEXT2_ varchar(4000),
CREATE_TIME_ timestamp,
LAST_UPDATED_TIME_ timestamp,
primary key (ID_)
);
create table ACT_HI_DETAIL (
ID_ varchar(64) not null,
TYPE_ varchar(255) not null,
PROC_INST_ID_ varchar(64),
EXECUTION_ID_ varchar(64),
TASK_ID_ varchar(64),
ACT_INST_ID_ varchar(64),
NAME_ varchar(255) not null,
VAR_TYPE_ varchar(255),
REV_ integer,
TIME_ timestamp not null,
BYTEARRAY_ID_ varchar(64),
DOUBLE_ double precision,
LONG_ bigint,
TEXT_ varchar(4000),
TEXT2_ varchar(4000),
primary key (ID_)
);
create table ACT_HI_COMMENT (
ID_ varchar(64) not null,
TYPE_ varchar(255),
TIME_ timestamp not null,
USER_ID_ varchar(255),
TASK_ID_ varchar(64),
PROC_INST_ID_ varchar(64),
ACTION_ varchar(255),
MESSAGE_ varchar(4000),
FULL_MSG_ BLOB,
primary key (ID_)
);
create table ACT_HI_ATTACHMENT (
ID_ varchar(64) not null,
REV_ integer,
USER_ID_ varchar(255),
NAME_ varchar(255),
DESCRIPTION_ varchar(4000),
TYPE_ varchar(255),
TASK_ID_ varchar(64),
PROC_INST_ID_ varchar(64),
URL_ varchar(4000),
CONTENT_ID_ varchar(64),
TIME_ timestamp,
primary key (ID_)
);
create table ACT_HI_IDENTITYLINK (
ID_ varchar(64) not null,
GROUP_ID_ varchar(255),
TYPE_ varchar(255),
USER_ID_ varchar(255),
TASK_ID_ varchar(64),
PROC_INST_ID_ varchar(64),
primary key (ID_)
);
create index ACT_IDX_HI_PRO_INST_END on ACT_HI_PROCINST(END_TIME_);
create index ACT_IDX_HI_PRO_I_BUSKEY on ACT_HI_PROCINST(BUSINESS_KEY_);
create index ACT_IDX_HI_ACT_INST_START on ACT_HI_ACTINST(START_TIME_);
create index ACT_IDX_HI_ACT_INST_END on ACT_HI_ACTINST(END_TIME_);
create index ACT_IDX_HI_DETAIL_PROC_INST on ACT_HI_DETAIL(PROC_INST_ID_);
create index ACT_IDX_HI_DETAIL_ACT_INST on ACT_HI_DETAIL(ACT_INST_ID_);
create index ACT_IDX_HI_DETAIL_TIME on ACT_HI_DETAIL(TIME_);
create index ACT_IDX_HI_DETAIL_NAME on ACT_HI_DETAIL(NAME_);
create index ACT_IDX_HI_DETAIL_TASK_ID on ACT_HI_DETAIL(TASK_ID_);
create index ACT_IDX_HI_PROCVAR_PROC_INST on ACT_HI_VARINST(PROC_INST_ID_);
create index ACT_IDX_HI_PROCVAR_NAME_TYPE on ACT_HI_VARINST(NAME_, VAR_TYPE_);
create index ACT_IDX_HI_PROCVAR_TASK_ID on ACT_HI_VARINST(TASK_ID_);
create index ACT_IDX_HI_ACT_INST_PROCINST on ACT_HI_ACTINST(PROC_INST_ID_, ACT_ID_);
create index ACT_IDX_HI_ACT_INST_EXEC on ACT_HI_ACTINST(EXECUTION_ID_, ACT_ID_);
create index ACT_IDX_HI_IDENT_LNK_USER on ACT_HI_IDENTITYLINK(USER_ID_);
create index ACT_IDX_HI_IDENT_LNK_TASK on ACT_HI_IDENTITYLINK(TASK_ID_);
create index ACT_IDX_HI_IDENT_LNK_PROCINST on ACT_HI_IDENTITYLINK(PROC_INST_ID_);
|
-- 建立索引成本
COST OF INDEXES
- 增加数据库的大小（它需要和表一起保存）
- 每次增删改数据时，MySQL会自动更新索引，会影响当前操作的效率
-- 我们只需要给特别重要的查询添加索引(数据量大，但频繁检索)
-- 不要在设计表的时候就创建好索引，不要以表来创建索引、要以查询内容来创建
-- 在内部：索引通常是以二叉树的方式保存的
-- 创建索引
#检索时对比了多大的数据量
EXPLAIN SELECT customer_id FROM customers WHERE state='US';
CREATE INDEX idx_state ON customers(state);
EXPLAIN SELECT customer_id FROM customers WHERE state='US';
--查看索引
SHOW INDEXES IN customers;
只要给表添加了主键，引擎自动会对主键加索引、聚合索引(主键索引) clustered INDEX
ANALYZE TABLE customers;
每张表只能有一个聚合索引
其他的索引是，从属索引 secondary indexes
外码也会自动加索引
如果索引的列为 CHAR VARCHAR TEXT BLOB,索引就会占用大量的磁盘空间、并且性能表现也不好
-- 解决方案，对数据部分内容建立索引
CREATE INDEX idx_lastname ON customers (last_name(20))
--怎样挑选一个不错的值
SELECT
COUNT(DISTINCT LEFT(last_name,1)),
COUNT(DISTINCT LEFT(last_name,5)),
COUNT(DISTINCT LEFT(last_name,10))
FROM customers;
-- 全文索引 索引类型
问题
USE sql_blog;
SELECT *
FROM posts
WHERE title LIKE '%rect%' OR body LIKE '%rect%';
数据量大的时候将会非常慢
-- 创建全文索引
CREATE FULLTEXT INDEX idx_title_body ON posts(title,body);
-- 使用全文索引
SELECT *
FROM posts
WHERE MATCH(title,body) AGAINST('rect');
-- MATCH(title,body) AGAINST('rect -redux +form' IN BOOLEAN MODE) 含rect但不含redux 含form
-- 组合索引
EXPLAIN SELECT customer_id FROM customers
WHERE state='CA' AND points>1000;
CREATE INDEX idx_state_points ON customers(state,points);
-- 删除索引
DROP INDEX idx_state ON customers;
--组合索引的顺序问题
-- 将最常用的列放到最前面
--ＵＳＥ ＩＮＤＥＸ
ＳＥＬＥＣＴ ｃｕｓｔｏｍｅｒ＿ｉｄ
ＦＲＯＭ ｃｕｓｔｏｍｅｒｓ
ＵＳＥ ＩＮＤＥＸ（ｉｄｘ＿ｓｔａｔｅ＿ｌａｓｔｎａｍｅ）
ＷＨＥＲＥ ｓｔａｔｅ ＬＩＫＥ ＇Ａ％＇ ＡＮＤ ｌａｓｔ＿ｎａｍｅ ＬＩＫＥ ＇Ａ％＇；
--有时候这样写效率会更好
ＳＥＬＥＣＴ *
ＦＲＯＭ ｃｕｓｔｏｍｅｒｓ
ＷＨＥＲＥ ｓｔａｔｅ ＬＩＫＥ ＇Ａ％＇
UNION
ＳＥＬＥＣＴ *
ＦＲＯＭ ｃｕｓｔｏｍｅｒｓ
WHERE ｌａｓｔ＿ｎａｍｅ ＬＩＫＥ ＇Ａ％＇；
--防止建立相同的索引
(A,B,C) == (A,B,C)
(A,C,B) != (A,B,C)
--防止建立无用索引
建立了(A,B)
再建立(A) (A)为无用索引
|
--
-- Licensed to the Apache Software Foundation (ASF) under one
-- or more contributor license agreements. See the NOTICE file
-- distributed with this work for additional information
-- regarding copyright ownership. The ASF licenses this file
-- to you under the Apache License, Version 2.0 (the
-- "License"); you may not use this file except in compliance
-- with the License. You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing,
-- software distributed under the License is distributed on an
-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-- KIND, either express or implied. See the License for the
-- specific language governing permissions and limitations
-- under the License.
--
-- code inserts
INSERT INTO `m_code` (`code_name`, `is_system_defined`) VALUES ('STATE',1);
INSERT INTO `m_code` (`code_name`, `is_system_defined`) VALUES ('COUNTRY',1);
INSERT INTO `m_code` (`code_name`, `is_system_defined`) VALUES ('ADDRESS_TYPE',1);
-- configuration
INSERT INTO `c_configuration` (`name`, `value`, `date_value`, `enabled`, `is_trap_door`, `description`) VALUES ('Enable-Address', NULL, NULL, 0, 0, NULL);
-- add address table
CREATE TABLE `m_address` (
`id` BIGINT NOT NULL AUTO_INCREMENT,
`street` VARCHAR(100) NULL DEFAULT NULL,
`address_line_1` VARCHAR(100) NULL DEFAULT NULL,
`address_line_2` VARCHAR(100) NULL DEFAULT NULL,
`address_line_3` VARCHAR(100) NULL DEFAULT NULL,
`town_village` VARCHAR(100) NULL DEFAULT NULL,
`city` VARCHAR(100) NULL DEFAULT NULL,
`county_district` VARCHAR(100) NULL DEFAULT NULL,
`state_province_id` INT NULL DEFAULT NULL,
`country_id` INT NULL DEFAULT NULL,
`postal_code` VARCHAR(10) NULL DEFAULT NULL,
`latitude` DECIMAL(10,8) NULL DEFAULT '0.00000000',
`longitude` DECIMAL(10,8) NULL DEFAULT '0.00000000',
`created_by` VARCHAR(100) NULL DEFAULT NULL,
`created_on` DATE NULL DEFAULT NULL,
`updated_by` VARCHAR(100) NULL DEFAULT NULL,
`updated_on` DATE NULL DEFAULT NULL,
PRIMARY KEY (`id`),
INDEX `address_fields_codefk1` (`state_province_id`),
INDEX `address_fields_codefk2` (`country_id`),
CONSTRAINT `address_fields_codefk1` FOREIGN KEY (`state_province_id`) REFERENCES `m_code_value` (`id`),
CONSTRAINT `address_fields_codefk2` FOREIGN KEY (`country_id`) REFERENCES `m_code_value` (`id`)
)
ENGINE=InnoDB
AUTO_INCREMENT=1
;
-- entity address table
CREATE TABLE `m_client_address` (
`id` BIGINT NOT NULL AUTO_INCREMENT,
`client_id` BIGINT NOT NULL DEFAULT '0',
`address_id` BIGINT NOT NULL DEFAULT '0',
`address_type_id` INT NOT NULL DEFAULT '0',
`is_active` TINYINT NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
INDEX `addressIdFk` (`address_id`),
INDEX `address_codefk` (`address_type_id`),
INDEX `clientaddressfk` (`client_id`),
CONSTRAINT `address_codefk` FOREIGN KEY (`address_type_id`) REFERENCES `m_code_value` (`id`),
CONSTRAINT `clientaddressfk` FOREIGN KEY (`client_id`) REFERENCES `m_client` (`id`)
)
ENGINE=InnoDB
AUTO_INCREMENT=1
;
-- field configuration
CREATE TABLE `m_field_configuration` (
`id` BIGINT NOT NULL AUTO_INCREMENT,
`entity` VARCHAR(100) NOT NULL,
`subentity` VARCHAR(100) NOT NULL,
`field` VARCHAR(100) NOT NULL,
`is_enabled` TINYINT NOT NULL,
`is_mandatory` TINYINT NOT NULL,
`validation_regex` VARCHAR(50) NULL DEFAULT NULL,
PRIMARY KEY (`id`)
)
ENGINE=InnoDB
AUTO_INCREMENT=1
;
INSERT INTO `m_field_configuration` ( `entity`, `subentity`, `field`, `is_enabled`, `is_mandatory`, `validation_regex`) VALUES
('ADDRESS', 'CLIENT', 'addressType', 1, 0, ''),
('ADDRESS', 'CLIENT', 'street', 1, 1, ''),
('ADDRESS', 'CLIENT', 'addressLine1', 1, 0, ''),
('ADDRESS', 'CLIENT', 'addressLine2', 1, 0, ''),
('ADDRESS', 'CLIENT', 'addressLine3', 1, 0, ''),
('ADDRESS', 'CLIENT', 'townVillage', 0, 0, ''),
('ADDRESS', 'CLIENT', 'city', 1, 0, ''),
('ADDRESS', 'CLIENT', 'countyDistrict', 0, 0, ''),
('ADDRESS', 'CLIENT', 'stateProvinceId', 1, 0, ''),
('ADDRESS', 'CLIENT', 'countryId', 1, 0, ''),
('ADDRESS', 'CLIENT', 'postalCode', 1, 0, ''),
('ADDRESS', 'CLIENT', 'latitude', 0, 0, ''),
('ADDRESS', 'CLIENT', 'longitude', 0, 0, ''),
('ADDRESS', 'CLIENT', 'createdBy', 1, 0, ''),
('ADDRESS', 'CLIENT', 'createdOn', 1, 0, ''),
('ADDRESS', 'CLIENT', 'updatedBy', 1, 0, ''),
('ADDRESS', 'CLIENT', 'updatedOn', 1, 0, ''),
('ADDRESS', 'CLIENT', 'isActive', 1, 0, '');
-- inserts for permission
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'CREATE_ADDRESS', 'ADDRESS', 'CREATE', 0);
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'CREATE_ADDRESS_CHECKER', 'ADDRESS', 'CREATE_CHECKER', 1);
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'UPDATE_ADDRESS', 'ADDRESS', 'UPDATE', 0);
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'UPDATE_ADDRESS_CHECKER', 'ADDRESS', 'UPDATE_CHECKER', 1);
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'READ_ADDRESS', 'ADDRESS', 'READ', 0);
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'DELETE_ADDRESS', 'ADDRESS', 'DELETE', 0);
INSERT INTO `m_permission` (`grouping`, `code`, `entity_name`, `action_name`, `can_maker_checker`) VALUES ('portfolio', 'DELETE_ADDRESS_CHECKER', 'ADDRESS', 'DELETE_CHECKER', 1);
|
# --- !Ups
ALTER TABLE attendance_week add constraint u_attendance_week unique(person_id, monday);
ALTER TABLE attendance_day add constraint u_attendance_day unique(person_id, day);
# --- !Downs
alter table attendance_week drop constraint u_attendance_week;
alter table attendance_day drop constraint u_attendance_day;
|
--
-- CLUSTER
--
CREATE TABLE clstr_tst_s (rf_a SERIAL PRIMARY KEY,
b INT) DISTRIBUTED BY (rf_a);
CREATE TABLE clstr_tst (a SERIAL PRIMARY KEY,
b INT,
c TEXT,
d TEXT,
CONSTRAINT clstr_tst_con FOREIGN KEY (b) REFERENCES clstr_tst_s)
DISTRIBUTED BY (a);
CREATE INDEX clstr_tst_b ON clstr_tst (b);
CREATE INDEX clstr_tst_c ON clstr_tst (c);
CREATE INDEX clstr_tst_c_b ON clstr_tst (c,b);
CREATE INDEX clstr_tst_b_c ON clstr_tst (b,c);
INSERT INTO clstr_tst_s (b) VALUES (0);
INSERT INTO clstr_tst_s (b) SELECT b FROM clstr_tst_s;
INSERT INTO clstr_tst_s (b) SELECT b FROM clstr_tst_s;
INSERT INTO clstr_tst_s (b) SELECT b FROM clstr_tst_s;
INSERT INTO clstr_tst_s (b) SELECT b FROM clstr_tst_s;
INSERT INTO clstr_tst_s (b) SELECT b FROM clstr_tst_s;
CREATE TABLE clstr_tst_inh () INHERITS (clstr_tst);
INSERT INTO clstr_tst (b, c) VALUES (11, 'once');
INSERT INTO clstr_tst (b, c) VALUES (10, 'diez');
INSERT INTO clstr_tst (b, c) VALUES (31, 'treinta y uno');
INSERT INTO clstr_tst (b, c) VALUES (22, 'veintidos');
INSERT INTO clstr_tst (b, c) VALUES (3, 'tres');
INSERT INTO clstr_tst (b, c) VALUES (20, 'veinte');
INSERT INTO clstr_tst (b, c) VALUES (23, 'veintitres');
INSERT INTO clstr_tst (b, c) VALUES (21, 'veintiuno');
INSERT INTO clstr_tst (b, c) VALUES (4, 'cuatro');
INSERT INTO clstr_tst (b, c) VALUES (14, 'catorce');
INSERT INTO clstr_tst (b, c) VALUES (2, 'dos');
INSERT INTO clstr_tst (b, c) VALUES (18, 'dieciocho');
INSERT INTO clstr_tst (b, c) VALUES (27, 'veintisiete');
INSERT INTO clstr_tst (b, c) VALUES (25, 'veinticinco');
INSERT INTO clstr_tst (b, c) VALUES (13, 'trece');
INSERT INTO clstr_tst (b, c) VALUES (28, 'veintiocho');
INSERT INTO clstr_tst (b, c) VALUES (32, 'treinta y dos');
INSERT INTO clstr_tst (b, c) VALUES (5, 'cinco');
INSERT INTO clstr_tst (b, c) VALUES (29, 'veintinueve');
INSERT INTO clstr_tst (b, c) VALUES (1, 'uno');
INSERT INTO clstr_tst (b, c) VALUES (24, 'veinticuatro');
INSERT INTO clstr_tst (b, c) VALUES (30, 'treinta');
INSERT INTO clstr_tst (b, c) VALUES (12, 'doce');
INSERT INTO clstr_tst (b, c) VALUES (17, 'diecisiete');
INSERT INTO clstr_tst (b, c) VALUES (9, 'nueve');
INSERT INTO clstr_tst (b, c) VALUES (19, 'diecinueve');
INSERT INTO clstr_tst (b, c) VALUES (26, 'veintiseis');
INSERT INTO clstr_tst (b, c) VALUES (15, 'quince');
INSERT INTO clstr_tst (b, c) VALUES (7, 'siete');
INSERT INTO clstr_tst (b, c) VALUES (16, 'dieciseis');
INSERT INTO clstr_tst (b, c) VALUES (8, 'ocho');
-- This entry is needed to test that TOASTED values are copied correctly.
INSERT INTO clstr_tst (b, c, d) VALUES (6, 'seis', repeat('xyzzy', 100000));
CLUSTER clstr_tst_c ON clstr_tst;
SELECT a,b,c,substring(d for 30), length(d) from clstr_tst;
SELECT a,b,c,substring(d for 30), length(d) from clstr_tst ORDER BY a;
SELECT a,b,c,substring(d for 30), length(d) from clstr_tst ORDER BY b;
SELECT a,b,c,substring(d for 30), length(d) from clstr_tst ORDER BY c;
-- Verify that inheritance link still works
INSERT INTO clstr_tst_inh VALUES (0, 100, 'in child table');
SELECT a,b,c,substring(d for 30), length(d) from clstr_tst;
-- Verify that foreign key link still works
INSERT INTO clstr_tst (b, c) VALUES (1111, 'this should fail');
SELECT conname FROM pg_constraint WHERE conrelid = 'clstr_tst'::regclass
ORDER BY 1;
SELECT relname, relkind,
EXISTS(SELECT 1 FROM pg_class WHERE oid = c.reltoastrelid) AS hastoast
FROM pg_class c WHERE relname LIKE 'clstr_tst%' ORDER BY relname;
-- Verify that indisclustered is correctly set
SELECT pg_class.relname FROM pg_index, pg_class, pg_class AS pg_class_2
WHERE pg_class.oid=indexrelid
AND indrelid=pg_class_2.oid
AND pg_class_2.relname = 'clstr_tst'
AND indisclustered;
-- Try changing indisclustered
ALTER TABLE clstr_tst CLUSTER ON clstr_tst_b_c;
SELECT pg_class.relname FROM pg_index, pg_class, pg_class AS pg_class_2
WHERE pg_class.oid=indexrelid
AND indrelid=pg_class_2.oid
AND pg_class_2.relname = 'clstr_tst'
AND indisclustered;
-- Try turning off all clustering
ALTER TABLE clstr_tst SET WITHOUT CLUSTER;
SELECT pg_class.relname FROM pg_index, pg_class, pg_class AS pg_class_2
WHERE pg_class.oid=indexrelid
AND indrelid=pg_class_2.oid
AND pg_class_2.relname = 'clstr_tst'
AND indisclustered;
-- Verify that clustering all tables does in fact cluster the right ones
CREATE USER regress_clstr_user;
CREATE TABLE clstr_1 (a INT PRIMARY KEY);
CREATE TABLE clstr_2 (a INT PRIMARY KEY);
CREATE TABLE clstr_3 (a INT PRIMARY KEY);
ALTER TABLE clstr_1 OWNER TO regress_clstr_user;
ALTER TABLE clstr_3 OWNER TO regress_clstr_user;
GRANT SELECT ON clstr_2 TO regress_clstr_user;
INSERT INTO clstr_1 VALUES (2);
INSERT INTO clstr_1 VALUES (1);
INSERT INTO clstr_2 VALUES (2);
INSERT INTO clstr_2 VALUES (1);
INSERT INTO clstr_3 VALUES (2);
INSERT INTO clstr_3 VALUES (1);
-- "CLUSTER <tablename>" on a table that hasn't been clustered
CLUSTER clstr_2;
CLUSTER clstr_1_pkey ON clstr_1;
CLUSTER clstr_2 USING clstr_2_pkey;
SELECT * FROM clstr_1 UNION ALL
SELECT * FROM clstr_2 UNION ALL
SELECT * FROM clstr_3;
-- revert to the original state
DELETE FROM clstr_1;
DELETE FROM clstr_2;
DELETE FROM clstr_3;
INSERT INTO clstr_1 VALUES (2);
INSERT INTO clstr_1 VALUES (1);
INSERT INTO clstr_2 VALUES (2);
INSERT INTO clstr_2 VALUES (1);
INSERT INTO clstr_3 VALUES (2);
INSERT INTO clstr_3 VALUES (1);
-- this user can only cluster clstr_1 and clstr_3, but the latter
-- has not been clustered
SET SESSION AUTHORIZATION regress_clstr_user;
CLUSTER;
SELECT * FROM clstr_1 UNION ALL
SELECT * FROM clstr_2 UNION ALL
SELECT * FROM clstr_3;
-- cluster a single table using the indisclustered bit previously set
DELETE FROM clstr_1;
INSERT INTO clstr_1 VALUES (2);
INSERT INTO clstr_1 VALUES (1);
CLUSTER clstr_1;
SELECT * FROM clstr_1;
-- Test MVCC-safety of cluster. There isn't much we can do to verify the
-- results with a single backend...
CREATE TABLE clustertest (key int, distkey int) DISTRIBUTED BY (distkey);
CREATE INDEX clustertest_pkey ON clustertest (key);
INSERT INTO clustertest VALUES (10, 1);
INSERT INTO clustertest VALUES (20, 2);
INSERT INTO clustertest VALUES (30, 1);
INSERT INTO clustertest VALUES (40, 2);
INSERT INTO clustertest VALUES (50, 3);
-- Use a transaction so that updates are not committed when CLUSTER sees 'em
BEGIN;
-- Test update where the old row version is found first in the scan
UPDATE clustertest SET key = 100 WHERE key = 10;
-- Test update where the new row version is found first in the scan
UPDATE clustertest SET key = 35 WHERE key = 40;
-- Test longer update chain
UPDATE clustertest SET key = 60 WHERE key = 50;
UPDATE clustertest SET key = 70 WHERE key = 60;
UPDATE clustertest SET key = 80 WHERE key = 70;
SELECT key FROM clustertest;
CLUSTER clustertest_pkey ON clustertest;
SELECT key FROM clustertest;
COMMIT;
SELECT key FROM clustertest;
-- check that temp tables can be clustered
create temp table clstr_temp (col1 int primary key, col2 text);
insert into clstr_temp values (2, 'two'), (1, 'one');
cluster clstr_temp using clstr_temp_pkey;
select * from clstr_temp;
drop table clstr_temp;
RESET SESSION AUTHORIZATION;
-- Test CLUSTER with external tuplesorting
-- The tests assume that the rows come out in the physical order, as
-- sorted by CLUSTER. In GPDB, add a dummy column to force all the rows to go
-- to the same segment, otherwise the rows come out in random order from the
-- segments.
create table clstr_4 as select 1 as dummy, * from tenk1 distributed by (dummy);
create index cluster_sort on clstr_4 (hundred, thousand, tenthous);
-- ensure we don't use the index in CLUSTER nor the checking SELECTs
set enable_indexscan = off;
-- Use external sort that only ever uses quicksort to sort runs:
set maintenance_work_mem = '1MB';
set replacement_sort_tuples = 0;
cluster clstr_4 using cluster_sort;
select * from
(select hundred, lag(hundred) over () as lhundred,
thousand, lag(thousand) over () as lthousand,
tenthous, lag(tenthous) over () as ltenthous from clstr_4) ss
where row(hundred, thousand, tenthous) <= row(lhundred, lthousand, ltenthous);
-- Replacement selection will now be forced. It should only produce a single
-- run, due to the fact that input is found to be presorted:
set replacement_sort_tuples = 150000;
cluster clstr_4 using cluster_sort;
select * from
(select hundred, lag(hundred) over () as lhundred,
thousand, lag(thousand) over () as lthousand,
tenthous, lag(tenthous) over () as ltenthous from clstr_4) ss
where row(hundred, thousand, tenthous) <= row(lhundred, lthousand, ltenthous);
reset enable_indexscan;
reset maintenance_work_mem;
reset replacement_sort_tuples;
-- Test CLUSTER with append optimized storage
CREATE TABLE ao_table(
id int,
fname text,
lname text,
address1 text,
address2 text,
city text,
state text,
zip text)
WITH (appendonly=true)
DISTRIBUTED BY (id);
INSERT INTO ao_table (id, fname, lname, address1, address2, city, state, zip)
SELECT i, 'Jon_' || i, 'Roberts_' || i, i || ' Main Street', 'Apartment ' || i, 'New York', 'NY', i::text
FROM generate_series(1, 10000) AS i;
CREATE INDEX ON ao_table (id);
BEGIN;
CLUSTER ao_table USING ao_table_id_idx;
ABORT;
CLUSTER ao_table USING ao_table_id_idx;
SELECT * FROM ao_table WHERE id = 10;
DROP TABLE ao_table;
-- Test CLUSTER with append optimized columnar storage
CREATE TABLE ao_table(
id int,
fname text,
lname text,
address1 text,
address2 text,
city text,
state text,
zip text)
WITH (appendonly=true, orientation=column)
DISTRIBUTED BY (id);
INSERT INTO ao_table (id, fname, lname, address1, address2, city, state, zip)
SELECT i, 'Jon_' || i, 'Roberts_' || i, i || ' Main Street', 'Apartment ' || i, 'New York', 'NY', i::text
FROM generate_series(1, 10000) AS i;
CREATE INDEX ON ao_table (id);
BEGIN;
CLUSTER ao_table USING ao_table_id_idx;
ABORT;
CLUSTER ao_table USING ao_table_id_idx;
SELECT * FROM ao_table WHERE id = 10;
DROP TABLE ao_table;
-- clean up
DROP TABLE clustertest;
DROP TABLE clstr_1;
DROP TABLE clstr_2;
DROP TABLE clstr_3;
DROP TABLE clstr_4;
DROP USER regress_clstr_user;
-- Test transactional safety of CLUSTER against heap
CREATE TABLE foo (a int, b varchar, c int) DISTRIBUTED BY (a);
INSERT INTO foo SELECT i, 'initial insert' || i, i FROM generate_series(1,10000)i;
CREATE index ifoo on foo using btree (b);
-- execute cluster in a transaction but don't commit the transaction
BEGIN;
CLUSTER foo USING ifoo;
ABORT;
-- try cluster again
CLUSTER foo USING ifoo;
DROP TABLE foo;
|
create table usuarios (
id serial not null,
nombre varchar(100) not null,
correo varchar(100) not null,
primary key (id)
);
create table reservas (
id serial not null,
codigo varchar(15) not null,
pelicula varchar(100) not null,
fecha_creacion date not null,
hora_creacion time not null,
fecha_reserva date not null,
hora_reserva time not null,
no_puesto numeric not null,
tarifa Double precision not null,
id_usuario_fk integer,
primary key (id),
constraint fk_usuario
foreign key (id_usuario_fk)
references usuarios(id)
)
|
-- Begin the transaction
BEGIN;
CREATE OR REPLACE FUNCTION normalize_raw_visit() RETURNS TRIGGER AS
$normalize_raw_visit$
DECLARE
upserted_protocol_ids INT[];
upserted_peer_id INT;
upserted_session_id INT;
new_multi_addresses_ids INT[];
upserted_multi_addresses_set_id INT;
upserted_protocols_set_id INT;
upserted_agent_version_id INT;
BEGIN
SELECT upsert_protocols(NEW.protocols, NEW.created_at) INTO upserted_protocol_ids;
SELECT upsert_protocol_set_id(NEW.protocol_ids || upserted_protocol_ids) INTO upserted_protocols_set_id;
SELECT upsert_agent_version(NEW.agent_version, NEW.created_at) INTO upserted_agent_version_id;
SELECT upsert_peer(NEW.peer_multi_hash, coalesce(upserted_agent_version_id, NEW.agent_version_id), upserted_protocols_set_id, NEW.created_at) INTO upserted_peer_id;
-- update the currently active session
IF NEW.error IS NULL THEN
INSERT INTO sessions (peer_id,
first_successful_dial,
last_successful_dial,
first_failed_dial,
next_dial_attempt,
successful_dials,
finished,
created_at,
updated_at)
VALUES (upserted_peer_id, NEW.visit_ended_at, NEW.visit_ended_at, '1970-01-01',
NEW.visit_ended_at + '30s'::interval, 1, false, NOW(), NOW())
ON CONFLICT ON CONSTRAINT uq_peer_id_first_failed_dial DO UPDATE
SET last_successful_dial = EXCLUDED.last_successful_dial,
successful_dials = sessions.successful_dials + 1,
updated_at = EXCLUDED.updated_at,
next_dial_attempt =
CASE
WHEN 0.5 *
(EXCLUDED.last_successful_dial - sessions.first_successful_dial) <
'30s'::interval THEN
EXCLUDED.last_successful_dial + '30s'::interval
WHEN 0.5 *
(EXCLUDED.last_successful_dial - sessions.first_successful_dial) >
'15m'::interval THEN
EXCLUDED.last_successful_dial + '15m'::interval
ELSE
EXCLUDED.last_successful_dial +
0.5 *
(EXCLUDED.last_successful_dial - sessions.first_successful_dial)
END
RETURNING id INTO upserted_session_id;
ELSE
UPDATE sessions
SET first_failed_dial = NEW.visit_started_at,
min_duration = last_successful_dial - first_successful_dial,
max_duration = NEW.visit_started_at - first_successful_dial,
finished = true,
updated_at = NOW(),
next_dial_attempt = null,
finish_reason = NEW.error
WHERE peer_id = upserted_peer_id
AND finished = false
RETURNING id INTO upserted_session_id;
END IF;
-- UPSERT MULTI ADDRESSES
WITH multi_addresses_ids_table AS (
INSERT INTO multi_addresses (maddr, updated_at, created_at)
SELECT DISTINCT unnest(NEW.multi_addresses), NEW.created_at, NEW.created_at -- the DISTINCT is the FIX
ORDER BY 1
ON CONFLICT (maddr) DO UPDATE SET updated_at = excluded.updated_at
RETURNING id)
SELECT sort(array_agg(mai.id)) multi_addresses_ids
FROM multi_addresses_ids_table mai
INTO new_multi_addresses_ids;
IF new_multi_addresses_ids IS NOT NULL THEN
SELECT id
FROM multi_addresses_sets mas
WHERE mas.multi_address_ids = new_multi_addresses_ids
INTO upserted_multi_addresses_set_id;
IF upserted_multi_addresses_set_id IS NULL THEN
INSERT
INTO multi_addresses_sets (multi_address_ids, updated_at, created_at) (SELECT new_multi_addresses_ids, NOW(), NOW())
RETURNING id INTO upserted_multi_addresses_set_id;
END IF;
END IF;
-- remove current association multi addresses and properties to peers
DELETE FROM peers_x_multi_addresses WHERE peer_id = upserted_peer_id;
-- Add multi address association
INSERT INTO peers_x_multi_addresses (peer_id, multi_address_id)
SELECT upserted_peer_id, ma.id
FROM multi_addresses ma
WHERE maddr = ANY (NEW.multi_addresses);
-- Now we're able to create the normalized visit instance
INSERT
INTO visits (peer_id,
crawl_id,
session_id,
dial_duration,
connect_duration,
crawl_duration,
visit_started_at,
visit_ended_at,
updated_at,
created_at,
type,
error,
agent_version_id,
protocols_set_id,
multi_addresses_set_id)
VALUES (upserted_peer_id,
NEW.crawl_id,
upserted_session_id,
NEW.dial_duration,
NEW.connect_duration,
NEW.crawl_duration,
NEW.visit_started_at,
NEW.visit_ended_at,
NEW.created_at,
NEW.created_at,
NEW.type,
NEW.error,
coalesce(upserted_agent_version_id, NEW.agent_version_id),
upserted_protocols_set_id,
upserted_multi_addresses_set_id);
DELETE FROM raw_visits WHERE id = NEW.id;
RETURN NEW;
END;
$normalize_raw_visit$ LANGUAGE plpgsql;
DROP TRIGGER insert_raw_visit ON raw_visits;
CREATE TRIGGER "insert_raw_visit"
AFTER INSERT
ON "raw_visits"
FOR EACH ROW
EXECUTE PROCEDURE normalize_raw_visit();
-- End the transaction
COMMIT;
|
-- file:create_table_like.sql ln:26 expect:true
/* Single entry with value 'text' */
ALTER TABLE inhx add constraint foo CHECK (xx = 'text')
|
UPDATE complex_field
SET field_type_id = (SELECT id FROM field_type WHERE reference = 'Date' AND version = 1 AND jurisdiction_id IS NULL)
WHERE complex_field_type_id = (SELECT id FROM field_type WHERE reference = 'SearchParty' AND version = 1 AND jurisdiction_id IS NULL)
AND reference = 'DateOfBirth'
|
--TEST: No error returns when setting an invalid default value to a timestamp column using 'ALTER COLUMN ... SET DEFAULT' statement
create table t_numeric (s short, i integer, b bigint, n numeric, f float, d double, m monetary);
create table t_datetime (d date, t time, ts timestamp, dt datetime);
create table t_bits (b bit(20), bv bit varying);
create table t_chars (c char(10), vc varchar);
--test alter table ... alter column ... set default ... on numeric data types
alter table t_numeric alter column s set default 'aaa';
alter table t_numeric alter column s set default '2012-12-10';
alter table t_numeric alter column s set default '15';
alter table t_numeric alter column s set default 15;
alter table t_numeric alter column s set default 40000;
alter table t_numeric alter column i set default 'aaa';
alter table t_numeric alter column i set default '2012-12-10';
alter table t_numeric alter column i set default '15';
alter table t_numeric alter column i set default 15;
alter table t_numeric alter column i set default 2200000000;
alter table t_numeric alter column b set default 'aaa';
alter table t_numeric alter column b set default '2012-12-10';
alter table t_numeric alter column b set default '15';
alter table t_numeric alter column b set default 15;
alter table t_numeric alter column b set default 10000000000000000000;
alter table t_numeric alter column n set default 'aaa';
alter table t_numeric alter column n set default '2012-12-10';
alter table t_numeric alter column n set default '15';
alter table t_numeric alter column n set default 15;
alter table t_numeric alter column n set default 15.132;
alter table t_numeric alter column n set default 9999999999999999999.99;
alter table t_numeric alter column f set default 'aaa';
alter table t_numeric alter column f set default '2012-12-10';
alter table t_numeric alter column f set default '15';
alter table t_numeric alter column f set default 15;
alter table t_numeric alter column f set default 15.132;
alter table t_numeric alter column f set default 12e+12;
alter table t_numeric alter column f set default 4e+39;
alter table t_numeric alter column d set default 'aaa';
alter table t_numeric alter column d set default '2012-12-10';
alter table t_numeric alter column d set default '15';
alter table t_numeric alter column d set default 15;
alter table t_numeric alter column d set default 15.132;
alter table t_numeric alter column d set default 12e+12;
--######### CUBRID BUG CUBRIDSUS-7720 ##########
--alter table t_numeric alter column d set default 2e+309;
alter table t_numeric alter column m set default 'aaa';
alter table t_numeric alter column m set default '2012-12-10';
alter table t_numeric alter column m set default '15';
alter table t_numeric alter column m set default 15;
alter table t_numeric alter column m set default 15.132;
alter table t_numeric alter column m set default 12e+12;
alter table t_numeric alter column m set default 4e+39;
--######### CUBRID BUG CUBRIDSUS-7720 ##########
--alter table t_numeric alter column m set default 2e+309;
show columns in t_numeric;
--test alter table ... alter column ... set default ... on datetime data types
alter table t_datetime alter column d set default 'aaa';
alter table t_datetime alter column d set default '2012-12-10';
alter table t_datetime alter column d set default '12/10/2012';
desc t_datetime;
alter table t_datetime alter column d set default '00:00:00';
alter table t_datetime alter column d set default '01:15:45 PM 2008-10-31';
alter table t_datetime alter column d set default '15';
alter table t_datetime alter column d set default 15;
alter table t_datetime alter column t set default 'aaa';
alter table t_datetime alter column t set default '2012-12-10';
alter table t_datetime alter column t set default '12/10/2012';
alter table t_datetime alter column t set default '00:00:00';
desc t_datetime;
alter table t_datetime alter column t set default '01:15:45 PM 2008-10-31';
desc t_datetime;
alter table t_datetime alter column t set default '15';
alter table t_datetime alter column t set default 15;
alter table t_datetime alter column ts set default 'aaa';
alter table t_datetime alter column ts set default '2012-12-10';
alter table t_datetime alter column ts set default '12/10/2012';
desc t_datetime;
alter table t_datetime alter column ts set default '00:00:00';
alter table t_datetime alter column ts set default '01:15:45 PM 2008-10-31';
desc t_datetime;
alter table t_datetime alter column ts set default '15';
alter table t_datetime alter column ts set default 15;
alter table t_datetime alter column dt set default 'aaa';
alter table t_datetime alter column dt set default '2012-12-10';
alter table t_datetime alter column dt set default '12/10/2012';
alter table t_datetime alter column dt set default '00:00:00';
alter table t_datetime alter column dt set default '01:15:45 PM 2008-10-31';
alter table t_datetime alter column dt set default '15';
alter table t_datetime alter column dt set default 15;
desc t_datetime;
--test alter table ... alter column ... set default ... on bit data types
alter table t_bits alter column b set default B'1';
alter table t_bits alter column b set default 0b1;
desc t_bits;
alter table t_bits alter column b set default B'1010';
alter table t_bits alter column b set default 0xAA;
alter table t_bits alter column b set default X'aaa';
alter table t_bits alter column b set default '2012-12-10';
alter table t_bits alter column b set default 15;
alter table t_bits alter column bv set default B'1';
alter table t_bits alter column bv set default 0b1;
alter table t_bits alter column bv set default B'1010';
desc t_bits;
alter table t_bits alter column bv set default 0xAA;
desc t_bits;
alter table t_bits alter column bv set default X'aaa';
alter table t_bits alter column bv set default '2012-12-10';
alter table t_bits alter column bv set default 15;
--test alter table ... alter column ... set default ... on char data types
alter table t_chars alter column c set default 'aaa';
desc t_chars;
alter table t_chars alter column c set default 'a';
alter table t_chars alter column c set default '2012-12-10';
alter table t_chars alter column c set default '15';
alter table t_chars alter column c set default 15;
alter table t_chars alter column vc set default 'aaa';
alter table t_chars alter column vc set default 'a';
alter table t_chars alter column vc set default '2012-12-10';
desc t_chars;
alter table t_chars alter column vc set default '15';
desc t_chars;
alter table t_chars alter column vc set default 15;
drop table t_numeric, t_datetime, t_bits, t_chars;
|
DROP TABLE IF EXISTS characters;
CREATE TABLE characters(
id SERIAL PRIMARY KEY,
image TEXT,
name VARCHAR(255),
patronus VARCHAR(255),
alive VARCHAR(255)
)
|
-- CreateTable
CREATE TABLE `MmOverseerEpochStates` (
`height` VARCHAR(255) NOT NULL,
`deposit_rate` VARCHAR(255) NOT NULL,
`prev_aterra_supply` VARCHAR(255) NOT NULL,
`prev_exchange_rate` VARCHAR(255) NOT NULL,
`prev_interest_buffer` VARCHAR(255) NOT NULL,
`last_executed_height` BIGINT UNSIGNED NOT NULL,
`createdAt` DATETIME(0) NOT NULL,
`updatedAt` DATETIME(0) NOT NULL,
PRIMARY KEY (`last_executed_height`)
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
|
-- phpMyAdmin SQL Dump
-- version 4.9.0.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Waktu pembuatan: 14 Nov 2020 pada 03.54
-- Versi server: 10.3.16-MariaDB
-- Versi PHP: 7.3.7
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `db_toko`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `barang`
--
CREATE TABLE `barang` (
`id` bigint(20) UNSIGNED NOT NULL,
`kd_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`nama_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`merek` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`distributor` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`tanggal_masuk` date NOT NULL,
`harga_barang` int(11) NOT NULL,
`stok_barang` int(11) NOT NULL,
`keterangan` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `cetakbarang`
--
CREATE TABLE `cetakbarang` (
`id` bigint(20) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `dashboard`
--
CREATE TABLE `dashboard` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `distributor`
--
CREATE TABLE `distributor` (
`id` bigint(20) UNSIGNED NOT NULL,
`kd_distributor` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`distributor` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`alamat` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`no_telepon` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `failed_jobs`
--
CREATE TABLE `failed_jobs` (
`id` bigint(20) UNSIGNED NOT NULL,
`connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
`queue` text COLLATE utf8mb4_unicode_ci NOT NULL,
`payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`failed_at` timestamp NOT NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `laporanbarang`
--
CREATE TABLE `laporanbarang` (
`id` bigint(20) UNSIGNED NOT NULL,
`kd_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`nama_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`stok_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`merek` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`tanggal_masuk` date NOT NULL,
`harga_barang` int(11) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `laporantransaksi`
--
CREATE TABLE `laporantransaksi` (
`id` bigint(20) UNSIGNED NOT NULL,
`kd_transaksi` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`nama_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`jumlah_beli` int(11) NOT NULL,
`total_harga` int(11) DEFAULT NULL,
`tanggal_beli` date NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `merek`
--
CREATE TABLE `merek` (
`id` bigint(20) UNSIGNED NOT NULL,
`kd_merek` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`merek` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2014_10_12_100000_create_password_resets_table', 1),
(3, '2019_08_19_000000_create_failed_jobs_table', 1),
(4, '2020_11_06_052419_create_barang_table', 1),
(5, '2020_11_06_054009_create_merek_table', 1),
(6, '2020_11_06_054626_create_distributor_table', 1),
(7, '2020_11_06_054858_create_transaksi_table', 1),
(8, '2020_11_06_055738_create_user_table', 1),
(9, '2020_11_06_211905_create_dashboard_table', 2),
(10, '2020_11_09_093638_create_laporanbarang_table', 3),
(11, '2020_11_09_094209_create_laporantransaksi_table', 4),
(12, '2020_11_09_103347_create_laporanbarang_table', 5),
(13, '2020_11_10_072007_create_cetakbarang_table', 6),
(14, '2020_11_10_200556_create_laporantransaksi_table', 7),
(15, '2020_11_12_060116_create_laporanbarang_table', 8),
(16, '2020_11_12_060133_create_laporantransaksi_table', 8),
(17, '2020_11_13_040311_create_transaksi_table', 9);
-- --------------------------------------------------------
--
-- Struktur dari tabel `password_resets`
--
CREATE TABLE `password_resets` (
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `transaksi`
--
CREATE TABLE `transaksi` (
`id` bigint(20) UNSIGNED NOT NULL,
`kd_transaksi` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`nama_barang` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`user` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`jumlah_beli` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`total_harga` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`tanggal_beli` date NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Trigger `transaksi`
--
DELIMITER $$
CREATE TRIGGER `transaksi_barang` AFTER INSERT ON `transaksi` FOR EACH ROW BEGIN
UPDATE barang SET stok_barang=stok_barang-NEW.jumlah_beli
WHERE id=NEW.nama_barang;
END
$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Struktur dari tabel `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`role` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `users`
--
INSERT INTO `users` (`id`, `name`, `email`, `role`, `email_verified_at`, `password`, `remember_token`, `created_at`, `updated_at`) VALUES
(2, 'admin', 'admin@gmail.com', 'admin', NULL, '$2y$10$equL2UduGnWAYPOcSUZeT.LDfO.VkLdDe1R1w7lJtRlcNtWMvspjq', '5khezcabVGj1FAxr9YsUAIUN2TxjfTQPdW4XIiAEia2mLaoQBUeIvZBzmQ9m', '2020-11-06 14:01:30', '2020-11-06 14:01:30'),
(4, 'kasir', 'kasir@gmail.com', 'kasir', NULL, '$2y$10$ss7631un54qb3WUbjRPb/.zhSG8UGmQKtK0bRVyGB3WhzvIIMggqS', 'a51YJeKJojLY8vXq5vF3y6ng89Pr01wDOMfGFeuMO5wcvoro3mQZczuwMCzd', '2020-11-06 14:06:53', '2020-11-06 14:06:53'),
(5, 'manager', 'manager@gmail.com', 'manager', NULL, '$2y$10$wo2PL10ZYUUHreFRmB8XoetmuCCCYFtGrSQEmsjhLTMAFd4G/04iy', 'YYgsa1yqnZaym354DqFqIqmLT4r6PwvEQffSjMaAic8IfIvD0KIWSRdTl8LX', '2020-11-06 16:01:19', '2020-11-06 16:01:19');
--
-- Indexes for dumped tables
--
--
-- Indeks untuk tabel `barang`
--
ALTER TABLE `barang`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `cetakbarang`
--
ALTER TABLE `cetakbarang`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `dashboard`
--
ALTER TABLE `dashboard`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `distributor`
--
ALTER TABLE `distributor`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `failed_jobs`
--
ALTER TABLE `failed_jobs`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `laporanbarang`
--
ALTER TABLE `laporanbarang`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `laporantransaksi`
--
ALTER TABLE `laporantransaksi`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `merek`
--
ALTER TABLE `merek`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Indeks untuk tabel `transaksi`
--
ALTER TABLE `transaksi`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `email` (`email`);
--
-- AUTO_INCREMENT untuk tabel yang dibuang
--
--
-- AUTO_INCREMENT untuk tabel `barang`
--
ALTER TABLE `barang`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `cetakbarang`
--
ALTER TABLE `cetakbarang`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `dashboard`
--
ALTER TABLE `dashboard`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `distributor`
--
ALTER TABLE `distributor`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `failed_jobs`
--
ALTER TABLE `failed_jobs`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `laporanbarang`
--
ALTER TABLE `laporanbarang`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `laporantransaksi`
--
ALTER TABLE `laporantransaksi`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `merek`
--
ALTER TABLE `merek`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT untuk tabel `transaksi`
--
ALTER TABLE `transaksi`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
SELECT "Provider_8"."nppes_provider_street1" AS "nppes_provider_street1" FROM "Provider_8" WHERE (("Provider_8"."nppes_provider_city" = 'GREENVILLE') AND ("Provider_8"."nppes_provider_state" = 'RI') AND ("Provider_8"."provider_type" = 'Internal Medicine')) GROUP BY 1;
|
prompt --application/shared_components/user_interface/templates/page/wizard_modal_dialog
begin
-- Manifest
-- TEMPLATE: WIZARD_MODAL_DIALOG
-- Manifest End
wwv_flow_api.component_begin (
p_version_yyyy_mm_dd=>'2020.03.31'
,p_release=>'20.1.0.00.13'
,p_default_workspace_id=>2400405578329584
,p_default_application_id=>984337
,p_default_id_offset=>0
,p_default_owner=>'MT_NDBRUIJN'
);
wwv_flow_api.create_template(
p_id=>wwv_flow_api.id(12495620021366880299)
,p_theme_id=>42
,p_name=>'Wizard Modal Dialog'
,p_internal_name=>'WIZARD_MODAL_DIALOG'
,p_is_popup=>true
,p_javascript_code_onload=>'apex.theme42.initializePage.wizardModal();'
,p_header_template=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<!DOCTYPE html>',
'<html class="no-js #RTL_CLASS# page-&APP_PAGE_ID. app-&APP_ALIAS." lang="&BROWSER_LANGUAGE." #TEXT_DIRECTION#>',
'<head>',
' <meta http-equiv="x-ua-compatible" content="IE=edge" />',
' <meta charset="utf-8">',
' <title>#TITLE#</title>',
' #APEX_CSS#',
' #THEME_CSS#',
' #TEMPLATE_CSS#',
' #THEME_STYLE_CSS#',
' #APPLICATION_CSS#',
' #PAGE_CSS#',
' #FAVICONS#',
' #HEAD#',
' <meta name="viewport" content="width=device-width, initial-scale=1.0" />',
'</head>',
'<body class="t-Dialog-page t-Dialog-page--wizard #DIALOG_CSS_CLASSES# #PAGE_CSS_CLASSES#" #TEXT_DIRECTION# #ONLOAD#>',
'#FORM_OPEN#'))
,p_box=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<div class="t-Dialog" role="dialog" aria-label="#TITLE#">',
' <div class="t-Dialog-header">#REGION_POSITION_01#</div>',
' <div class="t-Dialog-bodyWrapperOut">',
' <div class="t-Dialog-bodyWrapperIn">',
' <div class="t-Dialog-body" role="main">#SUCCESS_MESSAGE##NOTIFICATION_MESSAGE##GLOBAL_NOTIFICATION##BODY#</div>',
' </div>',
' </div>',
' <div class="t-Dialog-footer">#REGION_POSITION_03#</div>',
'</div>'))
,p_footer_template=>wwv_flow_string.join(wwv_flow_t_varchar2(
'#FORM_CLOSE#',
'#DEVELOPER_TOOLBAR#',
'#APEX_JAVASCRIPT#',
'#GENERATED_CSS#',
'#THEME_JAVASCRIPT#',
'#TEMPLATE_JAVASCRIPT#',
'#APPLICATION_JAVASCRIPT#',
'#PAGE_JAVASCRIPT# ',
'#GENERATED_JAVASCRIPT#',
'</body>',
'</html>'))
,p_success_message=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<div class="t-Body-alert">',
' <div class="t-Alert t-Alert--defaultIcons t-Alert--success t-Alert--horizontal t-Alert--page t-Alert--colorBG" id="t_Alert_Success" role="alert">',
' <div class="t-Alert-wrap">',
' <div class="t-Alert-icon">',
' <span class="t-Icon"></span>',
' </div>',
' <div class="t-Alert-content">',
' <div class="t-Alert-header">',
' <h2 class="t-Alert-title">#SUCCESS_MESSAGE#</h2>',
' </div>',
' </div>',
' <div class="t-Alert-buttons">',
' <button class="t-Button t-Button--noUI t-Button--icon t-Button--closeAlert" onclick="apex.jQuery(''#t_Alert_Success'').remove();" type="button" title="#CLOSE_NOTIFICATION#"><span class="t-Icon icon-close"></span></button>',
' </div>',
' </div>',
' </div>',
'</div>'))
,p_notification_message=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<div class="t-Body-alert">',
' <div class="t-Alert t-Alert--defaultIcons t-Alert--warning t-Alert--horizontal t-Alert--page t-Alert--colorBG" id="t_Alert_Notification" role="alert">',
' <div class="t-Alert-wrap">',
' <div class="t-Alert-icon">',
' <span class="t-Icon"></span>',
' </div>',
' <div class="t-Alert-content">',
' <div class="t-Alert-body">#MESSAGE#</div>',
' </div>',
' <div class="t-Alert-buttons">',
' <button class="t-Button t-Button--noUI t-Button--icon t-Button--closeAlert" onclick="apex.jQuery(''#t_Alert_Notification'').remove();" type="button" title="#CLOSE_NOTIFICATION#"><span class="t-Icon icon-close"></span></button>',
' </div>',
' </div>',
' </div>',
'</div>'))
,p_region_table_cattributes=>' summary="" cellpadding="0" border="0" cellspacing="0" width="100%"'
,p_theme_class_id=>3
,p_error_page_template=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<div class="t-Alert t-Alert--danger t-Alert--wizard t-Alert--defaultIcons">',
' <div class="t-Alert-wrap">',
' <div class="t-Alert-icon">',
' <span class="t-Icon"></span>',
' </div>',
' <div class="t-Alert-content">',
' <div class="t-Alert-body">',
' <h3>#MESSAGE#</h3>',
' <p>#ADDITIONAL_INFO#</p>',
' <div class="t-Alert-inset">#TECHNICAL_INFO#</div>',
' </div>',
' </div>',
' <div class="t-Alert-buttons">',
' <button onclick="#BACK_LINK#" class="t-Button t-Button--hot w50p t-Button--large" type="button">#OK#</button>',
' </div>',
' </div>',
'</div>'))
,p_grid_type=>'FIXED'
,p_grid_max_columns=>12
,p_grid_always_use_max_columns=>true
,p_grid_has_column_span=>true
,p_grid_always_emit=>true
,p_grid_emit_empty_leading_cols=>true
,p_grid_emit_empty_trail_cols=>false
,p_grid_default_label_col_span=>2
,p_grid_template=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<div class="container">',
'#ROWS#',
'</div>'))
,p_grid_row_template=>wwv_flow_string.join(wwv_flow_t_varchar2(
'<div class="row">',
'#COLUMNS#',
'</div>'))
,p_grid_column_template=>'<div class="col col-#COLUMN_SPAN_NUMBER# #CSS_CLASSES#" #ATTRIBUTES#>#CONTENT#</div>'
,p_grid_first_column_attributes=>'alpha'
,p_grid_last_column_attributes=>'omega'
,p_dialog_js_init_code=>'apex.navigation.dialog(#PAGE_URL#,{title:#TITLE#,height:#DIALOG_HEIGHT#,width:#DIALOG_WIDTH#,maxWidth:#DIALOG_MAX_WIDTH#,modal:#IS_MODAL#,dialog:#DIALOG#,#DIALOG_ATTRIBUTES#},''t-Dialog-page--wizard ''+#DIALOG_CSS_CLASSES#,#TRIGGERING_ELEMENT#);'
,p_dialog_js_close_code=>'apex.navigation.dialog.close(#IS_MODAL#,#TARGET#);'
,p_dialog_js_cancel_code=>'apex.navigation.dialog.cancel(#IS_MODAL#);'
,p_dialog_height=>'auto'
,p_dialog_width=>'720'
,p_dialog_max_width=>'960'
,p_dialog_browser_frame=>'MODAL'
,p_reference_id=>2120348229686426515
);
wwv_flow_api.create_page_tmpl_display_point(
p_id=>wwv_flow_api.id(88393979340008814)
,p_page_template_id=>wwv_flow_api.id(12495620021366880299)
,p_name=>'Wizard Body'
,p_placeholder=>'BODY'
,p_has_grid_support=>true
,p_glv_new_row=>true
,p_max_fixed_grid_columns=>12
);
wwv_flow_api.create_page_tmpl_display_point(
p_id=>wwv_flow_api.id(88394524330008814)
,p_page_template_id=>wwv_flow_api.id(12495620021366880299)
,p_name=>'Wizard Progress Bar'
,p_placeholder=>'REGION_POSITION_01'
,p_has_grid_support=>false
,p_glv_new_row=>true
);
wwv_flow_api.create_page_tmpl_display_point(
p_id=>wwv_flow_api.id(88394995347008814)
,p_page_template_id=>wwv_flow_api.id(12495620021366880299)
,p_name=>'Wizard Buttons'
,p_placeholder=>'REGION_POSITION_03'
,p_has_grid_support=>false
,p_glv_new_row=>true
);
wwv_flow_api.component_end;
end;
/
|
--- ultimos censos por pais
create view view_poblacion as
select p.nombre, u.ultimo_censo, c.poblacion as poblacion_censo, p.poblacion_estimada from
(select p.idpais, max(c.anio) as ultimo_censo from censos as c
inner join paises as p
on c.idpais = p.idpais
group by p.idpais) as u
inner join paises as p
on p.idpais = u.idpais
inner join censos as c
on c.idpais = u.idpais and c.anio = u.ultimo_censo
--select * from view_poblacion
|
-- file:groupingsets.sql ln:123 expect:true
select t1.a, t2.b, sum(t1.v), count(*) from gstest_empty t1, gstest_empty t2
group by grouping sets ((t1.a,t2.b),())
|
-- @testpoint:openGauss保留关键字natural同时作为表名和列名带引号，并进行dml操作,natural列的值最终显示为1000
drop table if exists "natural";
create table "natural"(
c_id int, c_int int, c_integer integer, c_bool int, c_boolean int, c_bigint integer,
c_real real, c_double real,
c_decimal decimal(38), c_number number(38), c_numeric numeric(38),
c_char char(50) default null, c_varchar varchar(20), c_varchar2 varchar2(4000),
c_date date, c_datetime date, c_timestamp timestamp,
"natural" varchar(100) default 'natural'
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PARTITION BY RANGE (c_integer)
(
partition P_20180121 values less than (0),
partition P_20190122 values less than (50000),
partition P_20200123 values less than (100000),
partition P_max values less than (maxvalue)
);
--插入数据
insert into "natural"(c_id,"natural") values(1,'hello');
insert into "natural"(c_id,"natural") values(2,'china');
--更新表数据
update "natural" set "natural"=1000 where "natural"='hello';
--清理表数据
delete from "natural" where "natural"='china';
--查看表数据
select "natural" from "natural" where "natural"!='hello' order by "natural";
--清理环境
drop table "natural";
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SELECT mx+10, pqr FROM v6, v8 WHERE xyz>2;
|
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(1, 1, 'Что такое квартари?', 'about', 'Что такое квартари?', NULL, '<p><strong>Квартари</strong> - это удивительный сервис, позволяющий забронировать квартиру на короткий срок: На один или несколько дней.</p>\r\n\r\n<p>В чем основная фишка Квартари, почему им удобно пользоваться? </p>\r\n\r\n<p> </p>\r\n\r\n<p>На карте вы видите два типа квартир: Одна часть из них отмечены синеньким значком, вторая - желтым.</p>\r\n\r\n<p>Синий значок - обозначает квартиру, которую, вы можете арендовать как обычно, внеся залог на месте, непосредственно при заселении.</p>\r\n\r\n<p>Желтый значок - это квартира, арендовать и попасть в которую можно за 1 минуту. Вы сможете оплатить проживание и внести залог с пластиковой карты онлайн.</p>\r\n\r\n<p> </p>\r\n\r\n<p><strong>В чем-то это похоже на бронирование номеров в отелях. Но у нашего сервиса есть несколько преимуществ:</strong></p>\r\n\r\n<p>- Значительно более низкая стоимость квартир, по сравнению с номерами в отеле.</p>\r\n\r\n<p>- Выше уровень сервиса. Все квартиры в идеальном состоянии и оборудованы бытовой техникой.</p>\r\n\r\n<p>- Идеальный вариант, если вы путешествуете с семьей и детьми и вам нужна кухня в квартире.</p>\r\n\r\n<p>- Единое стилевое решение. Все наши квартиры выполнены в едином стиле, поддерживаются в идеальном состоянии.</p>\r\n\r\n<p> </p>\r\n\r\n<p><strong>В чем отличия Квартари от других сервисов бронирования квартир?</strong></p>\r\n\r\n<p>- Мы гарантируем актуальность информации на нашем сайте. Если на сайте указано, что квартира свободна, значит она свободна и вы можете в нее заселиться хоть сейчас!</p>\r\n\r\n<p>- Надежность: За последний год у нас остановилось более 2000 постояльцев, получивших только приятные впечатления от Квартари.</p>\r\n\r\n<p>- Мы сами обслуживаем наши квартиры: Прибираем, моем, чистим, ремонтируем. Мы знаем каждый гвоздик в наших квартирах и поддерживаем их в идеальном состоянии!</p>\r\n', '2018-06-24 14:58:53'),
(3, 1, 'Вопросы и ответы', 'faq', 'Частые вопросы', NULL, '<p><strong>Как мне забронировать квартиру?</strong></p>\r\n\r\n<p>Выберите квартиру, которая вам понравилась. Введите дату начала аренды, дату окончания аренды, контактные данные (имя, телефон). Нажмите "Забронировать". После этого, вам перезвонит наш оператор, подтвердить бронирование и можно считать, что дело в шляпе - квартира ждет вас!</p>\r\n\r\n<p><strong>Что требуется для того, чтобы арендовать у вас квартиру?</strong></p>\r\n\r\n<p>Вам потребуется Документ, удостоверяющий личность (Паспорт) + залог и оплата времени проживания.</p>\r\n\r\n<p><strong>Вы публикуете где-то сведения о том, что у вас останавливался?</strong></p>\r\n\r\n<p>Мы никогда не раскрываем сведения о наших постояльцах. Мы уважаем наших жильцов и соблюдаем полную конфиденциальность.</p>\r\n\r\n<p><strong>Можно ли арендовать квартиру на 1 час?</strong></p>\r\n\r\n<p>Нет. Аренда на 1 час невозможна. Минимальный срок - сутки.</p>\r\n\r\n<p><strong>Можно ли арендовать квартиру на неделю?</strong></p>\r\n\r\n<p>Можно.</p>\r\n\r\n<p><strong>А фотографии у вас настоящие?</strong></p>\r\n\r\n<p>Все фотографии полностью соответствуют действительности.</p>\r\n', '2018-06-24 15:00:23'),
(4, 1, 'Сдавайте квартиры!', 'rent', 'Сдавайте квартиры!', NULL, '<p>Сдавать свою недвижимость с помощью проекта "Квартари" - одно удовольствие! Все делается в 3 простых шага:</p>\r\n\r\n<ol>\r\n <li>Зарегистрируйтесь. Достаточно минимальных контактных данных: имя и телефон.</li>\r\n <li>Добавьте квартиру. <a href="/realty/create">Удобная форма</a> поможет вам в этом!</li>\r\n <li>Ожидайте уведомлений о бронировании и получайте прибыль!</li>\r\n</ol>\r\n\r\n<p>Конечно же, весь процесс чуть сложнее, чем здесь описано, но для этого у нас есть менеджеры, с которыми можно пообщаться как в электронном в виде, так и позвонить по телефону, указанному вверху и внизу сайта. Можно смело задавать любые вопросы, наши операторы всегда рады помочь вам.</p>\r\n\r\n<p> </p>\r\n\r\n<p>Всю работу с системой "Квартари" мы постарались сделать максимально дружелюбной и интуитивно понятной. Основной ваш инструмент, как владельца квартиры - это <a href="/realty/clientrealty">список ваших квартир</a>. Там вы можете посмотреть график занятости вашей недвижимости и контактные данные арендаторов.</p>\r\n\r\n<p> </p>\r\n\r\n<p>Мы постоянно дорабатываем систему для вашего удобства и будем рады всевозможным пожеланиям и предложениям. Их, кстати, удобно отправлять через форму внизу.</p>\r\n\r\n<p>Желаем успехов!</p>\r\n\r\n<p> </p>\r\n', '2018-06-29 10:14:48'),
(6, 1, 'Выгодные предложения', 'moneygreat', 'Выгодные предложения при работе с Квартари!', NULL, '<p>Это ведь так замечательно, когда можно совмещать приятное с полезным!</p>\r\n\r\n<p>Квартари - это удивительный проект, в котором вы видите реальные варианты квартир в нужном вам городе.</p>\r\n\r\n<p>Нет ничего проще найти отличную квартиру в шаговой доступности от метро.</p>\r\n\r\n<p> </p>\r\n\r\n<p>Задержались допоздна у друзей? Откройте Квартари и посмотрите - возможно в этом районе есть свободная квартира?</p>\r\n\r\n<p>Приехали гости и хотят остаться на ночь? Забудьте про раскладушку - просто арендуйте для них отличную квартиру в соседнем доме.</p>\r\n\r\n<p>Пригласили на свадьбу, но предлагают спать в бане? Не беда. Просто зайдите на Квартари, а дальше вы уже знаете.</p>\r\n\r\n<p>Для любого случая у нас найдется подходящее предложение.</p>\r\n\r\n<p> </p>\r\n\r\n<p>Пожалуй, вы не сможете найти лучшего предложения! Цены - блеск!</p>\r\n\r\n<p>В среднем, <strong>наши цены на 30% ниже</strong>, чем суточное размещение в гостиничных номерах региона.</p>\r\n\r\n<p>Мы строго подходим к вопросу содержания и выбора недвижимости. Попасть в Квартари может не любая квартира, а только та, что соответствует ряду критерием.</p>\r\n\r\n<p>Каждая квартира обслуживается нашими собственными сотрудниками - горничными и администраторами. Мы прикладываем максимум усилий, чтобы вы проводили время в наших квартирах легко, непринужденно и не в чем не нуждались.</p>\r\n\r\n<p>Мы намеренно отсекаем часть неподходящих помещений-квартир и других вариантов, оставляя лишь лучшие, чтобы наши клиенты получали позитивные эмоции от провождения времени с Квартари!</p>\r\n', '2018-06-29 10:25:26'),
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(51, '/upload/2018/06/30/21/kosmonavtov_na_9_mest_kosmonavtov_4_9900_30_35_3', 21, 3, 'kosmonavtov na 9 mest kosmonavtov 4 9900 30 35 3', '2018-06-30 18:06:36'),
(52, '/upload/2018/06/30/22/vap_oligino_8_1_30_35_1', 22, 1, 'vap oligino 8 1 30 35 1', '2018-06-30 18:08:36'),
(53, '/upload/2018/06/30/22/vap_oligino_8_1_30_35_2', 22, 2, 'vap oligino 8 1 30 35 2', '2018-06-30 18:08:36'),
(54, '/upload/2018/06/30/23/oligino_oligino_2_1_30_56_1', 23, 1, 'oligino oligino 2 1 30 56 1', '2018-06-30 18:09:56');
/*!40000 ALTER TABLE `kv_image` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_migration
CREATE TABLE IF NOT EXISTS `kv_migration` (
`version` varchar(180) COLLATE utf8_unicode_ci NOT NULL,
`apply_time` int(11) DEFAULT NULL,
PRIMARY KEY (`version`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_migration: ~22 rows (приблизительно)
/*!40000 ALTER TABLE `kv_migration` DISABLE KEYS */;
INSERT INTO `kv_migration` (`version`, `apply_time`) VALUES
('m000000_000000_base', 1529354389),
('m130524_201442_init', 1529354392),
('m180618_203545_create_cache_table', 1529354418),
('m180624_115217_create_article_table', 1529841406),
('m180624_135425_create_country_table', 1529850358),
('m180624_135652_create_city_table', 1529850358),
('m180624_140344_create_type_housing_table', 1529850358),
('m180624_140947_create_device_service_table', 1529850358),
('m180624_141350_create_currency_table', 1529850397),
('m180624_141354_create_service_table', 1529850397),
('m180624_141356_create_status_table', 1529851533),
('m180624_141358_create_term_table', 1530258565),
('m180624_143217_create_realty_table', 1529851786),
('m180624_150314_create_image_table', 1529852999),
('m180624_151624_create_realty_view_table', 1529853837),
('m180624_152526_create_realty_service_table', 1529854488),
('m180624_152547_create_realty_device_service_table', 1529854489),
('m180629_074527_create_site_settings_table', 1530258565),
('m180629_075405_create_realty_term_table', 1530259577),
('m180708_161630_create_reservation_table', 1531068732),
('m180711_160303_create_user_address_table', 1531325787),
('m180711_161126_update_reservation_table', 1531325787),
('m180711_185207_create_reservation_addresses_table', 1531335232);
/*!40000 ALTER TABLE `kv_migration` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_realty
CREATE TABLE IF NOT EXISTS `kv_realty` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`url` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`status_id` int(11) unsigned NOT NULL,
`user_id` int(11) unsigned NOT NULL,
`country_id` int(11) unsigned NOT NULL,
`city_id` int(11) unsigned NOT NULL,
`type_housing_id` int(11) unsigned NOT NULL,
`places` int(11) NOT NULL,
`street` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`house` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`housing` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`apartment` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`footage` int(11) NOT NULL,
`number_rooms` int(11) NOT NULL,
`pledge` int(11) DEFAULT NULL,
`price` int(11) NOT NULL,
`created` timestamp NOT NULL DEFAULT current_timestamp(),
`updated` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`description` text COLLATE utf8_unicode_ci NOT NULL,
`laws` text COLLATE utf8_unicode_ci DEFAULT NULL,
`longitude` decimal(11,8) DEFAULT NULL,
`latitude` decimal(11,8) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `url` (`url`),
KEY `status_id` (`status_id`),
KEY `user_id` (`user_id`),
KEY `country_id` (`country_id`),
KEY `city_id` (`city_id`),
KEY `type_housing_id` (`type_housing_id`),
KEY `created` (`created`),
KEY `updated` (`updated`),
CONSTRAINT `city_id` FOREIGN KEY (`city_id`) REFERENCES `kv_city` (`id`) ON UPDATE CASCADE,
CONSTRAINT `country_id` FOREIGN KEY (`country_id`) REFERENCES `kv_country` (`id`) ON UPDATE CASCADE,
CONSTRAINT `status_id` FOREIGN KEY (`status_id`) REFERENCES `kv_status` (`id`) ON UPDATE CASCADE,
CONSTRAINT `type_housing_id` FOREIGN KEY (`type_housing_id`) REFERENCES `kv_type_housing` (`id`) ON UPDATE CASCADE,
CONSTRAINT `user_id` FOREIGN KEY (`user_id`) REFERENCES `kv_user` (`id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=24 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_realty: ~16 rows (приблизительно)
/*!40000 ALTER TABLE `kv_realty` DISABLE KEYS */;
INSERT INTO `kv_realty` (`id`, `url`, `status_id`, `user_id`, `country_id`, `city_id`, `type_housing_id`, `places`, `street`, `house`, `housing`, `apartment`, `footage`, `number_rooms`, `pledge`, `price`, `created`, `updated`, `title`, `description`, `laws`, `longitude`, `latitude`) VALUES
(7, 'f-1-1-28', 1, 1, 1, 1, 1, 1, 'f', '1', '', '', 1, 1, 1, 1, '2018-06-28 16:25:29', '2018-06-28 16:25:29', 'f', 'f', '', NULL, NULL),
(8, 's-1-1-28', 1, 1, 1, 1, 1, 2, 's', '2', '2', '2', 2, 2, 0, 1000, '2018-06-28 16:31:47', '2018-06-28 16:31:47', 's', 's', 's', NULL, NULL),
(9, 'odnushka-nedaleko-ot-metro-1-1-28', 2, 1, 1, 1, 1, 3, 'Комендантский просп.', '17', '1', '', 40, 1, 0, 2500, '2018-06-28 21:09:42', '2018-06-28 22:28:00', 'Однушка недалеко от метро', 'Отличная просторная квартира в 1 минуте ходьбы от метро. Рядом торговые центры, аптеки, все, что только может понадобиться и даже нотариус!\r\n2 комфортных спальных места, но может разместиться до 4 человек.', '1. Заселение не раньше 12 часов\r\n2. Запрещено курить в квартире\r\n3. Шуметь можно, но в рамках законодательства\r\n4. При любых поломках и неисправностях сразу же связаться с компанией Квартари', 30.25740800, 60.00807400),
(10, 'm-pionerskaja-kolomjazhskij-prospekt-1600-28', 2, 1, 1, 2, 1, 4, 'Коломяжский проспект', '15', '1', '43', 45, 2, 5000, 1600, '2018-06-28 21:14:49', '2018-06-28 22:28:01', 'м. Пионерская', 'Квартира', 'Стандарт', 30.25740800, 60.00807400),
(11, 'udobnyj-dom-kolomjazh-1385-28-50', 2, 1, 1, 1, 2, 1, 'Коломяж', '3', '1', '', 60, 3, 0, 1385, '2018-06-28 21:16:50', '2018-06-28 22:28:01', 'Удобный дом', '1к.кв. Коломяжский проспект 15/2', 'Стандартные', 30.25740800, 60.00807400),
(12, '1k-kv-komendantskij-prospekt-171-komendantskij-prospekt-1600-28-02', 2, 1, 1, 1, 1, 2, 'Комендантский проспект', '', '', '', 25, 1, 7000, 1600, '2018-06-28 21:19:02', '2018-06-28 22:28:02', '1к.кв. Комендантский проспект 17/1', 'Квартира', 'Стандарт', 30.25740800, 60.00807400),
(13, 'odnushka-nedaleko-ot-metro-komendantskij-prospekt-1600-28-49', 2, 1, 1, 1, 1, 2, 'Комендантский проспект', '', '', '', 40, 1, 10000, 1600, '2018-06-28 21:20:49', '2018-06-28 22:28:02', 'Однушка недалеко от метро', 'Отличная просторная квартира в 1 минуте ходьбы от метро. Рядом торговые центры, аптеки, все, что только может понадобиться и даже нотариус!\r\n2 комфортных спальных места, но может разместиться до 4 человек.', '1. Заселение не раньше 12 часов\r\n2. Запрещено курить в квартире\r\n3. Шуметь можно, но в рамках законодательства\r\n4. При любых поломках и неисправностях сразу же связаться с компанией Квартари', 30.25740800, 60.00807400),
(14, 'odnushka-nedaleko-ot-metro-komendantskij-prosp-18-1600-28-19', 2, 1, 1, 1, 1, 3, 'Комендантский просп.', '18', '', '', 50, 2, 14000, 1600, '2018-06-28 21:23:19', '2018-06-28 22:28:03', 'Однушка недалеко от метро', 'Отличная просторная квартира в 1 минуте ходьбы от метро. Рядом торговые центры, аптеки, все, что только может понадобиться и даже нотариус!\r\n2 комфортных спальных места, но может разместиться до 4 человек.', '', 30.25740800, 60.00807400),
(15, 'sdf-komendantskij-prosp-12-5-28-38', 2, 1, 1, 1, 1, 5, 'Комендантский просп', '12', '1', '1', 10, 1, 0, 5, '2018-06-28 22:24:38', '2018-06-28 22:28:11', 'sdf', 'sdf', 'sgdf', 30.25740800, 60.00807400),
(16, 'yvryapr-akademika-haritona-2-1600-28-14', 2, 1, 1, 1, 1, 2, 'Академика Харитона', '2', '1', '', 40, 2, 0, 1600, '2018-06-28 22:26:14', '2018-06-28 22:28:13', 'ыврыапр', 'ырывпапырпар', 'ырпыа\r\nывапыв\r\nпыва', 30.24280060, 60.04812870),
(17, 'prostaja-3-h-spalka-stroitelej-5-1600-29-33', 2, 1, 1, 1, 1, 3, 'Строителей', '5', '', '', 60, 2, 10000, 1600, '2018-06-29 12:06:33', '2018-06-29 13:32:23', 'Простая 3-х спалка', 'Простая 3-х спалка удобная чистая', '', 29.97890810, 60.04347490),
(19, 'tekst-opisanija-stroitelej-1-2000-29-55', 2, 1, 1, 1, 1, 2, 'Строителей', '1', '', '', 20, 1, 5000, 2000, '2018-06-29 12:09:55', '2018-06-29 13:32:25', 'текст описания', 'некой что то там)', '', 30.51800580, 59.91888770),
(20, 'kvartira-na-kosmonavtov-kosmonavtov-9-40000-29-54', 2, 1, 1, 2, 1, 5, 'Космонавтов', '9', '', '', 250, 4, 100000, 40000, '2018-06-29 13:31:54', '2018-06-29 13:32:27', 'Квартира на космонавтов', 'Некое описание квартиры', '', 37.65727940, 55.82191430),
(21, 'kosmonavtov-na-9-mest-kosmonavtov-4-9900-30-35', 2, 1, 1, 1, 1, 9, 'Космонавтов', '4', '', '', 9, 1, 100000, 9900, '2018-06-30 18:06:35', '2018-06-30 18:10:07', 'космонавтов на 9 мест', 'Описание на 9 мест', 'Правила на 9 мест', 30.34734240, 59.86365290),
(22, 'vap-oligino-8-1-30-35', 1, 1, 1, 1, 1, 6, 'Ольгино', '8', '', '', 10, 1, 1, 1, '2018-06-30 18:08:35', '2018-06-30 18:08:35', 'вап', 'впывапыап', '', 30.27854110, 59.97423000),
(23, 'oligino-oligino-2-1-30-56', 1, 1, 1, 1, 2, 1, 'Ольгино', '2', '1', '', 1, 1, 1, 1, '2018-06-30 18:09:56', '2018-06-30 18:09:56', 'Ольгино', 'Ольгино', 'Ольгино', 30.21318290, 60.00249670);
/*!40000 ALTER TABLE `kv_realty` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_realty_device_service
CREATE TABLE IF NOT EXISTS `kv_realty_device_service` (
`realty_id` int(11) unsigned NOT NULL,
`device_service_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`realty_id`,`device_service_id`),
KEY `realty_id` (`realty_id`),
KEY `device_service_id` (`device_service_id`),
CONSTRAINT `fk_rds_device_service_id` FOREIGN KEY (`device_service_id`) REFERENCES `kv_device_service` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `fk_rds_realty_id` FOREIGN KEY (`realty_id`) REFERENCES `kv_realty` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_realty_device_service: ~40 rows (приблизительно)
/*!40000 ALTER TABLE `kv_realty_device_service` DISABLE KEYS */;
INSERT INTO `kv_realty_device_service` (`realty_id`, `device_service_id`) VALUES
(7, 1),
(7, 2),
(7, 3),
(7, 4),
(8, 1),
(9, 1),
(9, 2),
(9, 3),
(9, 4),
(9, 5),
(9, 6),
(9, 7),
(9, 8),
(10, 1),
(10, 2),
(10, 3),
(11, 1),
(12, 5),
(12, 6),
(13, 6),
(13, 7),
(13, 8),
(14, 1),
(14, 2),
(15, 1),
(16, 2),
(16, 3),
(17, 2),
(17, 3),
(19, 1),
(19, 2),
(19, 3),
(20, 1),
(20, 2),
(20, 3),
(21, 1),
(21, 2),
(22, 2),
(23, 1),
(23, 2);
/*!40000 ALTER TABLE `kv_realty_device_service` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_realty_service
CREATE TABLE IF NOT EXISTS `kv_realty_service` (
`realty_id` int(11) unsigned NOT NULL,
`service_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`realty_id`,`service_id`),
KEY `realty_id` (`realty_id`),
KEY `service_id` (`service_id`),
CONSTRAINT `fk_realty_id` FOREIGN KEY (`realty_id`) REFERENCES `kv_realty` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `fk_service_id` FOREIGN KEY (`service_id`) REFERENCES `kv_service` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_realty_service: ~10 rows (приблизительно)
/*!40000 ALTER TABLE `kv_realty_service` DISABLE KEYS */;
INSERT INTO `kv_realty_service` (`realty_id`, `service_id`) VALUES
(7, 4),
(8, 1),
(9, 1),
(9, 2),
(9, 3),
(9, 4),
(11, 1),
(12, 2),
(14, 2),
(17, 1),
(19, 1),
(22, 4),
(23, 4);
/*!40000 ALTER TABLE `kv_realty_service` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_realty_term
CREATE TABLE IF NOT EXISTS `kv_realty_term` (
`realty_id` int(11) unsigned NOT NULL,
`term_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`realty_id`,`term_id`),
KEY `realty_id` (`realty_id`),
KEY `term_id` (`term_id`),
CONSTRAINT `fk_rt_realty_id` FOREIGN KEY (`realty_id`) REFERENCES `kv_realty` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `fk_rt_term_id` FOREIGN KEY (`term_id`) REFERENCES `kv_term` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_realty_term: ~7 rows (приблизительно)
/*!40000 ALTER TABLE `kv_realty_term` DISABLE KEYS */;
INSERT INTO `kv_realty_term` (`realty_id`, `term_id`) VALUES
(19, 1),
(19, 3),
(20, 3),
(21, 1),
(22, 1),
(22, 3),
(23, 1);
/*!40000 ALTER TABLE `kv_realty_term` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_realty_view
CREATE TABLE IF NOT EXISTS `kv_realty_view` (
`id` int(11) unsigned NOT NULL,
`views` int(11) unsigned NOT NULL DEFAULT 0,
`created` timestamp NOT NULL DEFAULT current_timestamp(),
`updated` int(11) unsigned NOT NULL DEFAULT 0,
UNIQUE KEY `id` (`id`),
KEY `updated` (`updated`),
CONSTRAINT `id` FOREIGN KEY (`id`) REFERENCES `kv_realty` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_realty_view: ~16 rows (приблизительно)
/*!40000 ALTER TABLE `kv_realty_view` DISABLE KEYS */;
INSERT INTO `kv_realty_view` (`id`, `views`, `created`, `updated`) VALUES
(7, 1, '2018-06-28 16:25:30', 1530192330),
(8, 1, '2018-06-28 16:31:48', 1530192708),
(9, 1, '2018-06-28 21:09:43', 1530209383),
(10, 1, '2018-06-28 21:14:50', 1530209690),
(11, 1, '2018-06-28 21:16:51', 1530209811),
(12, 1, '2018-06-28 21:19:03', 1530209943),
(13, 1, '2018-06-28 21:20:50', 1530210050),
(14, 1, '2018-06-28 21:23:19', 1530210199),
(15, 1, '2018-06-28 22:24:39', 1530213879),
(16, 1, '2018-06-28 22:26:15', 1530213975),
(17, 1, '2018-06-29 12:06:33', 1530263193),
(19, 1, '2018-06-29 12:10:01', 1530263401),
(20, 1, '2018-06-29 13:31:54', 1530268314),
(21, 1, '2018-06-30 18:06:36', 1530371196),
(22, 1, '2018-06-30 18:08:36', 1530371316),
(23, 1, '2018-06-30 18:09:56', 1530371396);
/*!40000 ALTER TABLE `kv_realty_view` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_reservation
CREATE TABLE IF NOT EXISTS `kv_reservation` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(11) unsigned NOT NULL,
`realty_id` int(11) unsigned NOT NULL,
`status` int(11) unsigned NOT NULL,
`phone` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`date_from` date NOT NULL DEFAULT current_timestamp(),
`date_to` date NOT NULL DEFAULT '0000-00-00',
`arrival_date` date DEFAULT NULL,
`comment` text COLLATE utf8_unicode_ci DEFAULT NULL,
`comment_admin` text COLLATE utf8_unicode_ci DEFAULT NULL,
`address_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`id`),
KEY `user_id` (`user_id`),
KEY `realty_id` (`realty_id`),
KEY `status` (`status`),
KEY `start` (`date_from`),
KEY `stop` (`date_to`),
KEY `address_id` (`address_id`),
CONSTRAINT `fk_rs_realty_id` FOREIGN KEY (`realty_id`) REFERENCES `kv_realty` (`id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_reservation: ~1 rows (приблизительно)
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INSERT INTO `kv_reservation` (`id`, `user_id`, `realty_id`, `status`, `phone`, `name`, `email`, `date_from`, `date_to`, `arrival_date`, `comment`, `comment_admin`, `address_id`) VALUES
(1, 1, 20, 1, '+7(111)111-11-11', 'coma', 'comaw@i.ua', '2018-07-11', '2018-07-19', NULL, 'fhf', '', 1);
/*!40000 ALTER TABLE `kv_reservation` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_reservation_addresses
CREATE TABLE IF NOT EXISTS `kv_reservation_addresses` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`reservation_id` int(11) unsigned NOT NULL,
`fio` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`date_birth` date NOT NULL,
`place_birth` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`passport_number` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`information` varchar(4000) COLLATE utf8_unicode_ci DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `reservation_id` (`reservation_id`),
CONSTRAINT `fk_ra_reservation_id` FOREIGN KEY (`reservation_id`) REFERENCES `kv_reservation` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_reservation_addresses: ~2 rows (приблизительно)
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INSERT INTO `kv_reservation_addresses` (`id`, `reservation_id`, `fio`, `date_birth`, `place_birth`, `passport_number`, `information`) VALUES
(1, 1, 'test2', '2018-07-12', 'sdfsdfsdf', 'ewtsdgs', 'test1'),
(2, 1, 'test2', '2018-07-12', 'sdfsdfsdf', 'ewtsdgs', 'test1');
/*!40000 ALTER TABLE `kv_reservation_addresses` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_service
CREATE TABLE IF NOT EXISTS `kv_service` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`position` int(11) NOT NULL DEFAULT 0,
`price` int(11) NOT NULL DEFAULT 0,
`currency_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`),
KEY `position` (`position`),
KEY `currency_id` (`currency_id`),
CONSTRAINT `currency` FOREIGN KEY (`currency_id`) REFERENCES `kv_currency` (`id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_service: ~4 rows (приблизительно)
/*!40000 ALTER TABLE `kv_service` DISABLE KEYS */;
INSERT INTO `kv_service` (`id`, `name`, `position`, `price`, `currency_id`) VALUES
(1, 'Уборка ', 0, 400, 1),
(2, 'Встреча гостей', 0, 150, 1),
(3, 'Выезд гостей', 0, 150, 1),
(4, 'Гостиничный набор', 0, 150, 1);
/*!40000 ALTER TABLE `kv_service` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_site_settings
CREATE TABLE IF NOT EXISTS `kv_site_settings` (
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`value` text COLLATE utf8_unicode_ci DEFAULT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
PRIMARY KEY (`name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_site_settings: ~2 rows (приблизительно)
/*!40000 ALTER TABLE `kv_site_settings` DISABLE KEYS */;
INSERT INTO `kv_site_settings` (`name`, `value`, `title`) VALUES
('site_address', 'Санкт-Петербург\r\nРоссия', 'Адрес'),
('site_email', 'info@kvartari.ru', 'E-mail'),
('site_phone', '+7 (800) 555-23-27', 'Телефон');
/*!40000 ALTER TABLE `kv_site_settings` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_status
CREATE TABLE IF NOT EXISTS `kv_status` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_status: ~4 rows (приблизительно)
/*!40000 ALTER TABLE `kv_status` DISABLE KEYS */;
INSERT INTO `kv_status` (`id`, `name`) VALUES
(2, 'Активно'),
(4, 'Бан'),
(1, 'Новае обьявление'),
(3, 'Отказано');
/*!40000 ALTER TABLE `kv_status` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_term
CREATE TABLE IF NOT EXISTS `kv_term` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_term: ~1 rows (приблизительно)
/*!40000 ALTER TABLE `kv_term` DISABLE KEYS */;
INSERT INTO `kv_term` (`id`, `name`) VALUES
(3, 'Без детей'),
(1, 'Без домашних животных'),
(4, 'Без посредников');
/*!40000 ALTER TABLE `kv_term` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_type_housing
CREATE TABLE IF NOT EXISTS `kv_type_housing` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`position` int(11) NOT NULL DEFAULT 0,
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`),
KEY `position` (`position`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_type_housing: ~2 rows (приблизительно)
/*!40000 ALTER TABLE `kv_type_housing` DISABLE KEYS */;
INSERT INTO `kv_type_housing` (`id`, `name`, `position`) VALUES
(1, 'Квартира', 0),
(2, 'Дом', 1),
(3, 'Склад', 3);
/*!40000 ALTER TABLE `kv_type_housing` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_user
CREATE TABLE IF NOT EXISTS `kv_user` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`username` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`phone` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`role` set('tenant','owner','admin') COLLATE utf8_unicode_ci NOT NULL DEFAULT 'tenant',
`auth_key` varchar(32) COLLATE utf8_unicode_ci NOT NULL,
`password_hash` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password_reset_token` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`status` smallint(6) NOT NULL DEFAULT 10,
`created_at` int(11) NOT NULL,
`updated_at` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `username` (`username`),
UNIQUE KEY `email` (`email`),
UNIQUE KEY `phone` (`phone`),
UNIQUE KEY `password_reset_token` (`password_reset_token`),
KEY `status` (`status`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_user: ~1 rows (приблизительно)
/*!40000 ALTER TABLE `kv_user` DISABLE KEYS */;
INSERT INTO `kv_user` (`id`, `username`, `phone`, `role`, `auth_key`, `password_hash`, `password_reset_token`, `email`, `status`, `created_at`, `updated_at`) VALUES
(1, 'coma', '+7(111)111-11-11', 'admin', 'Vlc23qFyum8hVs-Wg4P6sVcsvS5cHmv7', '$2y$13$dLTUAWbNGtgpz/B2GfJvf.h9mpEbFQdYC5WpCS21MPfHGTBXcjhju', NULL, 'comaw@i.ua', 10, 1529834989, 1529840319);
/*!40000 ALTER TABLE `kv_user` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.kv_user_address
CREATE TABLE IF NOT EXISTS `kv_user_address` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(11) unsigned NOT NULL,
`type` int(1) unsigned NOT NULL DEFAULT 1,
`fio` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`date_birth` date NOT NULL,
`place_birth` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`passport_number` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`information` varchar(4000) COLLATE utf8_unicode_ci DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `user_id` (`user_id`),
KEY `type` (`type`),
CONSTRAINT `fk_ua_user_id` FOREIGN KEY (`user_id`) REFERENCES `kv_user` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.kv_user_address: ~1 rows (приблизительно)
/*!40000 ALTER TABLE `kv_user_address` DISABLE KEYS */;
INSERT INTO `kv_user_address` (`id`, `user_id`, `type`, `fio`, `date_birth`, `place_birth`, `passport_number`, `information`) VALUES
(1, 1, 1, 'Сергей', '2018-07-12', 'ываы ываыа', 'пвапываыва', 'ывппа');
/*!40000 ALTER TABLE `kv_user_address` ENABLE KEYS */;
-- Дамп структуры для таблица kvartari.test
CREATE TABLE IF NOT EXISTS `test` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`role` set('tenant','owner','admin') COLLATE utf8_unicode_ci NOT NULL DEFAULT 'tenant',
`data` longblob DEFAULT NULL,
`t` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
`address_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Дамп данных таблицы kvartari.test: ~0 rows (приблизительно)
/*!40000 ALTER TABLE `test` DISABLE KEYS */;
/*!40000 ALTER TABLE `test` ENABLE KEYS */;
/*!40101 SET SQL_MODE=IFNULL(@OLD_SQL_MODE, '') */;
/*!40014 SET FOREIGN_KEY_CHECKS=IF(@OLD_FOREIGN_KEY_CHECKS IS NULL, 1, @OLD_FOREIGN_KEY_CHECKS) */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
|
-- Revert morzod:user from mysql
BEGIN;
revoke select, insert, update, delete on table user from 'morzod'@'localhost';
drop table user;
COMMIT;
|
/* Copied from ado-mysql.sql*/
/* File generated automatically by dynamo */
/* Entity types */
CREATE TABLE entity_type (
/* the entity type identifier */
`id` INTEGER AUTO_INCREMENT,
/* the entity type name (table name) */
`name` VARCHAR(127) UNIQUE NOT NULL,
PRIMARY KEY (`id`)
);
/* Sequence generator */
CREATE TABLE sequence (
/* the sequence name */
`name` VARCHAR(127) NOT NULL,
/* the sequence record version */
`version` int ,
/* the sequence value */
`value` BIGINT ,
/* the sequence block size */
`block_size` BIGINT ,
PRIMARY KEY (`name`)
);
INSERT INTO entity_type (name) VALUES
("entity_type")
,("sequence")
;
/* Copied from awa-mysql.sql*/
/* File generated automatically by dynamo */
/* */
CREATE TABLE awa_message (
/* the message identifier */
`id` BIGINT NOT NULL,
/* the message creation date */
`create_date` DATETIME NOT NULL,
/* the message priority */
`priority` INTEGER NOT NULL,
/* the message count */
`count` INTEGER NOT NULL,
/* the message parameters */
`parameters` VARCHAR(255) BINARY NOT NULL,
/* the server identifier which processes the message */
`server_id` INTEGER NOT NULL,
/* the task identfier on the server which processes the message */
`task_id` INTEGER NOT NULL,
/* the message status */
`status` TINYINT NOT NULL,
/* the message processing date */
`processing_date` DATETIME ,
/* */
`version` INTEGER NOT NULL,
/* the entity identifier to which this event is associated. */
`entity_id` BIGINT NOT NULL,
/* the entity type of the entity identifier to which this event is associated. */
`entity_type` INTEGER NOT NULL,
/* the date and time when the event was finished to be processed. */
`finish_date` DATETIME ,
/* */
`queue_id` BIGINT NOT NULL,
/* the message type */
`message_type_id` BIGINT NOT NULL,
/* the optional user who triggered the event message creation */
`user_id` BIGINT ,
/* the optional user session that triggered the message creation */
`session_id` BIGINT ,
PRIMARY KEY (`id`)
);
/* */
CREATE TABLE awa_message_type (
/* */
`id` BIGINT NOT NULL,
/* the message type name */
`name` VARCHAR(255) BINARY NOT NULL,
PRIMARY KEY (`id`)
);
/* The message queue tracks the event messages that must be dispatched by
a given server. */
CREATE TABLE awa_queue (
/* */
`id` BIGINT NOT NULL,
/* */
`server_id` INTEGER NOT NULL,
/* the message queue name */
`name` VARCHAR(255) BINARY NOT NULL,
PRIMARY KEY (`id`)
);
/* The ACL table records permissions which are granted for a user to access a given database entity. */
CREATE TABLE awa_acl (
/* the ACL identifier */
`id` BIGINT NOT NULL,
/* the entity identifier to which the ACL applies */
`entity_id` BIGINT NOT NULL,
/* the writeable flag */
`writeable` TINYINT NOT NULL,
/* */
`user_id` BIGINT NOT NULL,
/* the entity type concerned by the ACL. */
`entity_type` INTEGER NOT NULL,
PRIMARY KEY (`id`)
);
/* */
CREATE TABLE awa_access_key (
/* the secure access key. */
`access_key` VARCHAR(255) BINARY NOT NULL,
/* the access key expiration date. */
`expire_date` DATE NOT NULL,
/* the access key identifier. */
`id` BIGINT NOT NULL,
/* */
`version` INTEGER NOT NULL,
/* */
`user_id` BIGINT NOT NULL,
PRIMARY KEY (`id`)
);
/* The Email entity defines the user email addresses.
The user has a primary email address that is obtained
from the registration process (either through a form
submission or through OpenID authentication). */
CREATE TABLE awa_email (
/* the email address. */
`email` VARCHAR(255) BINARY NOT NULL,
/* the last mail delivery status (if known). */
`status` TINYINT NOT NULL,
/* the date when the last email error was detected. */
`last_error_date` DATETIME NOT NULL,
/* */
`version` INTEGER NOT NULL,
/* the email primary key. */
`id` BIGINT NOT NULL,
/* the user. */
`user_id` BIGINT NOT NULL,
PRIMARY KEY (`id`)
);
/* */
CREATE TABLE awa_session (
/* */
`start_date` DATETIME NOT NULL,
/* */
`end_date` DATETIME ,
/* */
`ip_address` VARCHAR(255) BINARY NOT NULL,
/* */
`stype` TINYINT NOT NULL,
/* */
`version` INTEGER NOT NULL,
/* */
`server_id` INTEGER NOT NULL,
/* */
`id` BIGINT NOT NULL,
/* */
`auth_id` BIGINT ,
/* */
`user_id` BIGINT NOT NULL,
PRIMARY KEY (`id`)
);
/* The User entity represents a user that can access and use the application.
*/
CREATE TABLE awa_user (
/* the user first name. */
`first_name` VARCHAR(255) BINARY NOT NULL,
/* the user last name. */
`last_name` VARCHAR(255) BINARY NOT NULL,
/* the user password hash. */
`password` VARCHAR(255) BINARY NOT NULL,
/* the user OpenID identifier. */
`open_id` VARCHAR(255) BINARY NOT NULL,
/* the user country. */
`country` VARCHAR(255) BINARY NOT NULL,
/* the user display name. */
`name` VARCHAR(255) BINARY NOT NULL,
/* version number. */
`version` INTEGER NOT NULL,
/* the user identifier. */
`id` BIGINT NOT NULL,
/* */
`email_id` BIGINT NOT NULL,
PRIMARY KEY (`id`)
);
INSERT INTO entity_type (name) VALUES
("awa_message")
,("awa_message_type")
,("awa_queue")
,("awa_acl")
,("awa_access_key")
,("awa_email")
,("awa_session")
,("awa_user")
;
/* Copied from awa-changelogs-mysql.sql*/
/* File generated automatically by dynamo */
/* */
CREATE TABLE awa_changelog (
/* the changelog identifier. */
`id` BIGINT NOT NULL,
/* the changelog date. */
`date` DATETIME NOT NULL,
/* the changelog text. */
`text` VARCHAR(255) BINARY NOT NULL,
/* the optional entity to which the changelog is associated. */
`for_entity_id` BIGINT NOT NULL,
/* */
`user_id` BIGINT NOT NULL,
/* */
`entity_type` INTEGER NOT NULL,
PRIMARY KEY (`id`)
);
INSERT INTO entity_type (name) VALUES
("awa_changelog")
;
|
--$Id: geocode_address.sql 12912 2014-08-23 05:22:13Z robe $
--DROP FUNCTION IF EXISTS geocode_address(norm_addy, integer , geometry);
CREATE OR REPLACE FUNCTION geocode_address(IN parsed norm_addy, max_results integer DEFAULT 10, restrict_geom geometry DEFAULT NULL, OUT addy norm_addy, OUT geomout geometry, OUT rating integer)
RETURNS SETOF record AS
$$
DECLARE
results RECORD;
zip_info RECORD;
stmt VARCHAR;
in_statefp VARCHAR;
exact_street boolean := false;
var_debug boolean := get_geocode_setting('debug_geocode_address')::boolean;
var_sql text := '';
var_n integer := 0;
var_restrict_geom geometry := NULL;
var_bfilter text := null;
var_bestrating integer := NULL;
BEGIN
IF parsed.streetName IS NULL THEN
-- A street name must be given. Think about it.
RETURN;
END IF;
ADDY.internal := parsed.internal;
IF parsed.stateAbbrev IS NOT NULL THEN
in_statefp := statefp FROM state_lookup As s WHERE s.abbrev = parsed.stateAbbrev;
END IF;
IF in_statefp IS NULL THEN
--if state is not provided or was bogus, just pick the first where the zip is present
in_statefp := statefp FROM zip_lookup_base WHERE zip = substring(parsed.zip,1,5) LIMIT 1;
END IF;
IF restrict_geom IS NOT NULL THEN
IF ST_SRID(restrict_geom) < 1 OR ST_SRID(restrict_geom) = 4236 THEN
-- basically has no srid or if wgs84 close enough to NAD 83 -- assume same as data
var_restrict_geom = ST_SetSRID(restrict_geom,4269);
ELSE
--transform and snap
var_restrict_geom = ST_SnapToGrid(ST_Transform(restrict_geom, 4269), 0.000001);
END IF;
END IF;
var_bfilter := ' SELECT zcta5ce FROM zcta5 AS zc
WHERE zc.statefp = ' || quote_nullable(in_statefp) || '
AND ST_Intersects(zc.the_geom, ' || quote_literal(var_restrict_geom::text) || '::geometry) ' ;
SELECT NULL::varchar[] As zip INTO zip_info;
IF parsed.zip IS NOT NULL THEN
-- Create an array of 5 zips containing 2 before and 2 after our target if our streetName is longer
IF length(parsed.streetName) > 7 THEN
SELECT zip_range(parsed.zip, -2, 2) As zip INTO zip_info;
ELSE
-- If our street name is short, we'll run into many false positives so reduce our zip window a bit
SELECT zip_range(parsed.zip, -1, 1) As zip INTO zip_info;
END IF;
--This signals bad zip input, only use the range if it falls in the place zip range
IF length(parsed.zip) != 5 AND parsed.location IS NOT NULL THEN
stmt := 'SELECT ARRAY(SELECT DISTINCT zip
FROM zip_lookup_base AS z
WHERE z.statefp = $1
AND z.zip = ANY($3) AND lower(z.city) LIKE lower($2) || ''%''::text ' || COALESCE(' AND z.zip IN(' || var_bfilter || ')', '') || ')::varchar[] AS zip ORDER BY zip' ;
EXECUTE stmt INTO zip_info USING in_statefp, parsed.location, zip_info.zip;
IF var_debug THEN
RAISE NOTICE 'Bad zip newzip range: %', quote_nullable(zip_info.zip);
END IF;
IF array_upper(zip_info.zip,1) = 0 OR array_upper(zip_info.zip,1) IS NULL THEN
-- zips do not fall in city ignore them
IF var_debug THEN
RAISE NOTICE 'Ignore new zip range that is bad too: %', quote_nullable(zip_info.zip);
END IF;
zip_info.zip = NULL::varchar[];
END IF;
END IF;
END IF;
IF zip_info.zip IS NULL THEN
-- If no good zips just include all for the location
-- We do a like instead of absolute check since tiger sometimes tacks things like Town at end of places
stmt := 'SELECT ARRAY(SELECT DISTINCT zip
FROM zip_lookup_base AS z
WHERE z.statefp = $1
AND lower(z.city) LIKE lower($2) || ''%''::text ' || COALESCE(' AND z.zip IN(' || var_bfilter || ')', '') || ')::varchar[] AS zip ORDER BY zip' ;
EXECUTE stmt INTO zip_info USING in_statefp, parsed.location;
IF var_debug THEN
RAISE NOTICE 'Zip range based on only considering city: %', quote_nullable(zip_info.zip);
END IF;
END IF;
-- Brute force -- try to find perfect matches and exit if we have one
-- we first pull all the names in zip and rank by if zip matches input zip and streetname matches street
stmt := 'WITH a AS
( SELECT *
FROM (SELECT f.*, ad.side, ad.zip, ad.fromhn, ad.tohn,
RANK() OVER(ORDER BY ' || CASE WHEN parsed.zip > '' THEN ' diff_zip(ad.zip,$7) + ' ELSE '' END
||' CASE WHEN lower(f.name) = lower($2) THEN 0 ELSE levenshtein_ignore_case(f.name, lower($2) ) END +
levenshtein_ignore_case(f.fullname, lower($2 || '' '' || COALESCE($4,'''')) )
+ CASE WHEN (greatest_hn(ad.fromhn,ad.tohn) % 2)::integer = ($1 % 2)::integer THEN 0 ELSE 1 END
+ CASE WHEN $1::integer BETWEEN least_hn(ad.fromhn,ad.tohn) AND greatest_hn(ad.fromhn, ad.tohn)
THEN 0 ELSE 4 END
+ CASE WHEN lower($4) = lower(f.suftypabrv) OR lower($4) = lower(f.pretypabrv) THEN 0 ELSE 1 END
+ rate_attributes($5, f.predirabrv,'
|| ' $2, f.name , $4,'
|| ' suftypabrv , $6,'
|| ' sufdirabrv, prequalabr)
)
As rank
FROM featnames As f INNER JOIN addr As ad ON (f.tlid = ad.tlid)
WHERE $10 = f.statefp AND $10 = ad.statefp
'
|| CASE WHEN length(parsed.streetName) > 5 THEN ' AND (lower(f.fullname) LIKE (COALESCE($5 || '' '','''') || lower($2) || ''%'')::text OR lower(f.name) = lower($2) OR soundex(f.name) = soundex($2) ) ' ELSE ' AND lower(f.name) = lower($2) ' END
|| CASE WHEN zip_info.zip IS NOT NULL THEN ' AND ( ad.zip = ANY($9::varchar[]) ) ' ELSE '' END
|| ' ) AS foo ORDER BY rank LIMIT ' || max_results*3 || ' )
SELECT * FROM (
SELECT DISTINCT ON (sub.predirabrv,sub.fename,COALESCE(sub.suftypabrv, sub.pretypabrv) ,sub.sufdirabrv,sub.place,s.stusps,sub.zip)'
|| ' sub.predirabrv as fedirp,'
|| ' sub.fename,'
|| ' COALESCE(sub.suftypabrv, sub.pretypabrv) as fetype,'
|| ' sub.sufdirabrv as fedirs,'
|| ' sub.place ,'
|| ' s.stusps as state,'
|| ' sub.zip as zip,'
|| ' interpolate_from_address($1, sub.fromhn,'
|| ' sub.tohn, sub.the_geom, sub.side) as address_geom,'
|| ' sub.sub_rating + '
|| CASE WHEN parsed.zip > '' THEN ' least(coalesce(diff_zip($7 , sub.zip),0), 10)::integer '
ELSE '1' END::text
|| ' + coalesce(levenshtein_ignore_case($3, sub.place),5)'
|| ' as sub_rating,'
|| ' sub.exact_address as exact_address, sub.tohn, sub.fromhn '
|| ' FROM ('
|| ' SELECT tlid, predirabrv, COALESCE(b.prequalabr || '' '','''' ) || b.name As fename, suftypabrv, sufdirabrv, fromhn, tohn,
side, zip, rate_attributes($5, predirabrv,'
|| ' $2, b.name , $4,'
|| ' suftypabrv , $6,'
|| ' sufdirabrv, prequalabr) + '
|| ' CASE '
|| ' WHEN $1::integer IS NULL OR b.fromhn IS NULL THEN 20'
|| ' WHEN $1::integer >= least_hn(b.fromhn, b.tohn) '
|| ' AND $1::integer <= greatest_hn(b.fromhn,b.tohn)'
|| ' AND ($1::integer % 2) = (to_number(b.fromhn,''99999999'') % 2)::integer'
|| ' THEN 0'
|| ' WHEN $1::integer >= least_hn(b.fromhn,b.tohn)'
|| ' AND $1::integer <= greatest_hn(b.fromhn,b.tohn)'
|| ' THEN 2'
|| ' ELSE'
|| ' ((1.0 - '
|| '(least_hn($1::text,least_hn(b.fromhn,b.tohn)::text)::numeric /'
|| ' (greatest(1,greatest_hn($1::text,greatest_hn(b.fromhn,b.tohn)::text))) )'
|| ') * 5)::integer + 5'
|| ' END'
|| ' as sub_rating,$1::integer >= least_hn(b.fromhn,b.tohn) '
|| ' AND $1::integer <= greatest_hn(b.fromhn,b.tohn) '
|| ' AND ($1 % 2)::numeric::integer = (to_number(b.fromhn,''99999999'') % 2)'
|| ' as exact_address, b.name, b.prequalabr, b.pretypabrv, b.tfidr, b.tfidl, b.the_geom, b.place '
|| ' FROM
(SELECT a.tlid, a.fullname, a.name, a.predirabrv, a.suftypabrv, a.sufdirabrv, a.prequalabr, a.pretypabrv,
b.the_geom, tfidr, tfidl,
a.side ,
a.fromhn,
a.tohn,
a.zip,
p.name as place
FROM a INNER JOIN edges As b ON (a.statefp = b.statefp AND a.tlid = b.tlid '
|| ')
INNER JOIN faces AS f ON ($10 = f.statefp AND ( (b.tfidl = f.tfid AND a.side = ''L'') OR (b.tfidr = f.tfid AND a.side = ''R'' ) ))
INNER JOIN place p ON ($10 = p.statefp AND f.placefp = p.placefp '
|| CASE WHEN parsed.location > '' AND zip_info.zip IS NULL THEN ' AND ( lower(p.name) LIKE (lower($3::text) || ''%'') ) ' ELSE '' END
|| ')
WHERE a.statefp = $10 AND b.statefp = $10 '
|| CASE WHEN var_restrict_geom IS NOT NULL THEN ' AND ST_Intersects(b.the_geom, $8::geometry) ' ELSE '' END
|| '
) As b
ORDER BY 10 , 11 DESC
LIMIT 20
) AS sub
JOIN state s ON ($10 = s.statefp)
ORDER BY 1,2,3,4,5,6,7,9
LIMIT 20) As foo ORDER BY sub_rating, exact_address DESC LIMIT ' || max_results*10 ;
IF var_debug THEN
RAISE NOTICE 'stmt: %',
replace(replace( replace(
replace(
replace(replace( replace(replace(replace(replace(stmt, '$10', quote_nullable(in_statefp) ), '$2',quote_nullable(parsed.streetName)),'$3',
quote_nullable(parsed.location)), '$4', quote_nullable(parsed.streetTypeAbbrev) ),
'$5', quote_nullable(parsed.preDirAbbrev) ),
'$6', quote_nullable(parsed.postDirAbbrev) ),
'$7', quote_nullable(parsed.zip) ),
'$8', quote_nullable(var_restrict_geom::text) ),
'$9', quote_nullable(zip_info.zip) ), '$1', quote_nullable(parsed.address) );
--RAISE NOTICE 'PREPARE query_base_geo(integer, varchar,varchar,varchar,varchar,varchar,varchar,geometry,varchar[]) As %', stmt;
--RAISE NOTICE 'EXECUTE query_base_geo(%,%,%,%,%,%,%,%,%); ', parsed.address,quote_nullable(parsed.streetName), quote_nullable(parsed.location), quote_nullable(parsed.streetTypeAbbrev), quote_nullable(parsed.preDirAbbrev), quote_nullable(parsed.postDirAbbrev), quote_nullable(parsed.zip), quote_nullable(var_restrict_geom::text), quote_nullable(zip_info.zip);
--RAISE NOTICE 'DEALLOCATE query_base_geo;';
END IF;
FOR results IN EXECUTE stmt USING parsed.address,parsed.streetName, parsed.location, parsed.streetTypeAbbrev, parsed.preDirAbbrev, parsed.postDirAbbrev, parsed.zip, var_restrict_geom, zip_info.zip, in_statefp LOOP
-- If we found a match with an exact street, then don't bother
-- trying to do non-exact matches
exact_street := true;
IF results.exact_address THEN
ADDY.address := parsed.address;
ELSE
ADDY.address := CASE WHEN parsed.address > to_number(results.tohn,'99999999') AND parsed.address > to_number(results.fromhn, '99999999') THEN greatest_hn(results.fromhn, results.tohn)::integer
ELSE least_hn(results.fromhn, results.tohn)::integer END ;
END IF;
ADDY.preDirAbbrev := results.fedirp;
ADDY.streetName := results.fename;
ADDY.streetTypeAbbrev := results.fetype;
ADDY.postDirAbbrev := results.fedirs;
ADDY.location := results.place;
ADDY.stateAbbrev := results.state;
ADDY.zip := results.zip;
ADDY.parsed := TRUE;
GEOMOUT := results.address_geom;
RATING := results.sub_rating;
var_n := var_n + 1;
IF var_bestrating IS NULL THEN
var_bestrating := RATING; /** the first record to come is our best rating we will ever get **/
END IF;
-- Only consider matches with decent ratings
IF RATING < 90 THEN
RETURN NEXT;
END IF;
-- If we get an exact match, then just return that
IF RATING = 0 THEN
RETURN;
END IF;
IF var_n >= max_results AND RATING < 10 THEN --we have exceeded our desired limit and rating is not horrible
RETURN;
END IF;
END LOOP;
IF var_bestrating < 30 THEN --if we already have a match with a rating of 30 or less, its unlikely we can do any better
RETURN;
END IF;
-- There are a couple of different things to try, from the highest preference and falling back
-- to lower-preference options.
-- We start out with zip-code matching, where the zip code could possibly be in more than one
-- state. We loop through each state its in.
-- Next, we try to find the location in our side-table, which is based off of the 'place' data exact first then sounds like
-- Next, we look up the location/city and use the zip code which is returned from that
-- Finally, if we didn't get a zip code or a city match, we fall back to just a location/street
-- lookup to try and find *something* useful.
-- In the end, we *have* to find a statefp, one way or another.
var_sql :=
' SELECT statefp,location,a.zip,exact,min(pref) FROM
(SELECT zip_state.statefp as statefp,$1 as location, true As exact, ARRAY[zip_state.zip] as zip,1 as pref
FROM zip_state WHERE zip_state.zip = $2
AND (' || quote_nullable(in_statefp) || ' IS NULL OR zip_state.statefp = ' || quote_nullable(in_statefp) || ')
' || COALESCE(' AND zip_state.zip IN(' || var_bfilter || ')', '') ||
' UNION SELECT zip_state_loc.statefp,zip_state_loc.place As location,false As exact, array_agg(zip_state_loc.zip) AS zip,1 + abs(COALESCE(diff_zip(max(zip), $2),0) - COALESCE(diff_zip(min(zip), $2),0)) As pref
FROM zip_state_loc
WHERE zip_state_loc.statefp = ' || quote_nullable(in_statefp) || '
AND lower($1) = lower(zip_state_loc.place) ' || COALESCE(' AND zip_state_loc.zip IN(' || var_bfilter || ')', '') ||
' GROUP BY zip_state_loc.statefp,zip_state_loc.place
UNION SELECT zip_state_loc.statefp,zip_state_loc.place As location,false As exact, array_agg(zip_state_loc.zip),3
FROM zip_state_loc
WHERE zip_state_loc.statefp = ' || quote_nullable(in_statefp) || '
AND soundex($1) = soundex(zip_state_loc.place)
GROUP BY zip_state_loc.statefp,zip_state_loc.place
UNION SELECT zip_lookup_base.statefp,zip_lookup_base.city As location,false As exact, array_agg(zip_lookup_base.zip),4
FROM zip_lookup_base
WHERE zip_lookup_base.statefp = ' || quote_nullable(in_statefp) || '
AND (soundex($1) = soundex(zip_lookup_base.city) OR soundex($1) = soundex(zip_lookup_base.county))
GROUP BY zip_lookup_base.statefp,zip_lookup_base.city
UNION SELECT ' || quote_nullable(in_statefp) || ' As statefp,$1 As location,false As exact,NULL, 5) as a '
' WHERE a.statefp IS NOT NULL
GROUP BY statefp,location,a.zip,exact, pref ORDER BY exact desc, pref, zip';
/** FOR zip_info IN SELECT statefp,location,zip,exact,min(pref) FROM
(SELECT zip_state.statefp as statefp,parsed.location as location, true As exact, ARRAY[zip_state.zip] as zip,1 as pref
FROM zip_state WHERE zip_state.zip = parsed.zip
AND (in_statefp IS NULL OR zip_state.statefp = in_statefp)
UNION SELECT zip_state_loc.statefp,parsed.location,false As exact, array_agg(zip_state_loc.zip),2 + diff_zip(zip[1], parsed.zip)
FROM zip_state_loc
WHERE zip_state_loc.statefp = in_statefp
AND lower(parsed.location) = lower(zip_state_loc.place)
GROUP BY zip_state_loc.statefp,parsed.location
UNION SELECT zip_state_loc.statefp,parsed.location,false As exact, array_agg(zip_state_loc.zip),3
FROM zip_state_loc
WHERE zip_state_loc.statefp = in_statefp
AND soundex(parsed.location) = soundex(zip_state_loc.place)
GROUP BY zip_state_loc.statefp,parsed.location
UNION SELECT zip_lookup_base.statefp,parsed.location,false As exact, array_agg(zip_lookup_base.zip),4
FROM zip_lookup_base
WHERE zip_lookup_base.statefp = in_statefp
AND (soundex(parsed.location) = soundex(zip_lookup_base.city) OR soundex(parsed.location) = soundex(zip_lookup_base.county))
GROUP BY zip_lookup_base.statefp,parsed.location
UNION SELECT in_statefp,parsed.location,false As exact,NULL, 5) as a
--JOIN (VALUES (true),(false)) as b(exact) on TRUE
WHERE statefp IS NOT NULL
GROUP BY statefp,location,zip,exact, pref ORDER BY exact desc, pref, zip **/
FOR zip_info IN EXECUTE var_sql USING parsed.location, parsed.zip LOOP
-- For zip distance metric we consider both the distance of zip based on numeric as well aa levenshtein
-- We use the prequalabr (these are like Old, that may or may not appear in front of the street name)
-- We also treat pretypabr as fetype since in normalize we treat these as streetypes and highways usually have the type here
-- In pprint_addy we changed to put it in front if it is a is_hw type
stmt := 'SELECT DISTINCT ON (sub.predirabrv,sub.fename,COALESCE(sub.suftypabrv, sub.pretypabrv) ,sub.sufdirabrv,coalesce(p.name,zip.city,cs.name,co.name),s.stusps,sub.zip)'
|| ' sub.predirabrv as fedirp,'
|| ' sub.fename,'
|| ' COALESCE(sub.suftypabrv, sub.pretypabrv) as fetype,'
|| ' sub.sufdirabrv as fedirs,'
|| ' coalesce(p.name,zip.city,cs.name,co.name)::varchar as place,'
|| ' s.stusps as state,'
|| ' sub.zip as zip,'
|| ' interpolate_from_address($1, sub.fromhn,'
|| ' sub.tohn, e.the_geom, sub.side) as address_geom,'
|| ' sub.sub_rating + '
|| CASE WHEN parsed.zip > '' THEN ' least((coalesce(diff_zip($7 , sub.zip),0) *1.00/2)::integer, coalesce(levenshtein_ignore_case($7, sub.zip),0) ) '
ELSE '3' END::text
|| ' + coalesce(least(levenshtein_ignore_case($3, coalesce(p.name,zip.city,cs.name,co.name)), levenshtein_ignore_case($3, coalesce(cs.name,co.name))),5)'
|| ' as sub_rating,'
|| ' sub.exact_address as exact_address '
|| ' FROM ('
|| ' SELECT a.tlid, predirabrv, COALESCE(a.prequalabr || '' '','''' ) || a.name As fename, suftypabrv, sufdirabrv, fromhn, tohn,
side, a.statefp, zip, rate_attributes($5, a.predirabrv,'
|| ' $2, a.name , $4,'
|| ' a.suftypabrv , $6,'
|| ' a.sufdirabrv, a.prequalabr) + '
|| ' CASE '
|| ' WHEN $1::integer IS NULL OR b.fromhn IS NULL THEN 20'
|| ' WHEN $1::integer >= least_hn(b.fromhn, b.tohn) '
|| ' AND $1::integer <= greatest_hn(b.fromhn,b.tohn)'
|| ' AND ($1::integer % 2) = (to_number(b.fromhn,''99999999'') % 2)::integer'
|| ' THEN 0'
|| ' WHEN $1::integer >= least_hn(b.fromhn,b.tohn)'
|| ' AND $1::integer <= greatest_hn(b.fromhn,b.tohn)'
|| ' THEN 2'
|| ' ELSE'
|| ' ((1.0 - '
|| '(least_hn($1::text,least_hn(b.fromhn,b.tohn)::text)::numeric /'
|| ' greatest(1,greatest_hn($1::text,greatest_hn(b.fromhn,b.tohn)::text)))'
|| ') * 5)::integer + 5'
|| ' END'
|| ' as sub_rating,$1::integer >= least_hn(b.fromhn,b.tohn) '
|| ' AND $1::integer <= greatest_hn(b.fromhn,b.tohn) '
|| ' AND ($1 % 2)::numeric::integer = (to_number(b.fromhn,''99999999'') % 2)'
|| ' as exact_address, a.name, a.prequalabr, a.pretypabrv '
|| ' FROM featnames a join addr b ON (a.tlid = b.tlid AND a.statefp = b.statefp )'
|| ' WHERE'
|| ' a.statefp = ' || quote_literal(zip_info.statefp) || ' AND a.mtfcc LIKE ''S%'' '
|| coalesce(' AND b.zip IN (''' || array_to_string(zip_info.zip,''',''') || ''') ','')
|| CASE WHEN zip_info.exact
THEN ' AND ( lower($2) = lower(a.name) OR ( a.prequalabr > '''' AND trim(lower($2), lower(a.prequalabr) || '' '') = lower(a.name) ) OR numeric_streets_equal($2, a.name) ) '
ELSE ' AND ( soundex($2) = soundex(a.name) OR ( (length($2) > 15 or (length($2) > 7 AND a.prequalabr > '''') ) AND lower(a.fullname) LIKE lower(substring($2,1,15)) || ''%'' ) OR numeric_streets_equal($2, a.name) ) '
END
|| ' ORDER BY 11'
|| ' LIMIT 20'
|| ' ) AS sub'
|| ' JOIN edges e ON (' || quote_literal(zip_info.statefp) || ' = e.statefp AND sub.tlid = e.tlid AND e.mtfcc LIKE ''S%'' '
|| CASE WHEN var_restrict_geom IS NOT NULL THEN ' AND ST_Intersects(e.the_geom, $8) ' ELSE '' END || ') '
|| ' JOIN state s ON (' || quote_literal(zip_info.statefp) || ' = s.statefp)'
|| ' JOIN faces f ON (' || quote_literal(zip_info.statefp) || ' = f.statefp AND (e.tfidl = f.tfid OR e.tfidr = f.tfid))'
|| ' LEFT JOIN zip_lookup_base zip ON (sub.zip = zip.zip AND zip.statefp=' || quote_literal(zip_info.statefp) || ')'
|| ' LEFT JOIN place p ON (' || quote_literal(zip_info.statefp) || ' = p.statefp AND f.placefp = p.placefp)'
|| ' LEFT JOIN county co ON (' || quote_literal(zip_info.statefp) || ' = co.statefp AND f.countyfp = co.countyfp)'
|| ' LEFT JOIN cousub cs ON (' || quote_literal(zip_info.statefp) || ' = cs.statefp AND cs.cosbidfp = sub.statefp || co.countyfp || f.cousubfp)'
|| ' WHERE'
|| ' ( (sub.side = ''L'' and e.tfidl = f.tfid) OR (sub.side = ''R'' and e.tfidr = f.tfid) ) '
|| ' ORDER BY 1,2,3,4,5,6,7,9'
|| ' LIMIT 10'
;
IF var_debug THEN
RAISE NOTICE '%', stmt;
RAISE NOTICE 'PREPARE query_base_geo(integer, varchar,varchar,varchar,varchar,varchar,varchar,geometry) As %', stmt;
RAISE NOTICE 'EXECUTE query_base_geo(%,%,%,%,%,%,%,%); ', parsed.address,quote_nullable(parsed.streetName), quote_nullable(parsed.location), quote_nullable(parsed.streetTypeAbbrev), quote_nullable(parsed.preDirAbbrev), quote_nullable(parsed.postDirAbbrev), quote_nullable(parsed.zip), quote_nullable(var_restrict_geom::text);
RAISE NOTICE 'DEALLOCATE query_base_geo;';
END IF;
-- If we got an exact street match then when we hit the non-exact
-- set of tests, just drop out.
IF NOT zip_info.exact AND exact_street THEN
RETURN;
END IF;
FOR results IN EXECUTE stmt USING parsed.address,parsed.streetName, parsed.location, parsed.streetTypeAbbrev, parsed.preDirAbbrev, parsed.postDirAbbrev, parsed.zip, var_restrict_geom LOOP
-- If we found a match with an exact street, then don't bother
-- trying to do non-exact matches
IF zip_info.exact THEN
exact_street := true;
END IF;
IF results.exact_address THEN
ADDY.address := parsed.address;
ELSE
ADDY.address := NULL;
END IF;
ADDY.preDirAbbrev := results.fedirp;
ADDY.streetName := results.fename;
ADDY.streetTypeAbbrev := results.fetype;
ADDY.postDirAbbrev := results.fedirs;
ADDY.location := results.place;
ADDY.stateAbbrev := results.state;
ADDY.zip := results.zip;
ADDY.parsed := TRUE;
GEOMOUT := results.address_geom;
RATING := results.sub_rating;
var_n := var_n + 1;
-- If our ratings go above 99 exit because its a really bad match
IF RATING > 99 THEN
RETURN;
END IF;
RETURN NEXT;
-- If we get an exact match, then just return that
IF RATING = 0 THEN
RETURN;
END IF;
END LOOP;
IF var_n > max_results THEN --we have exceeded our desired limit
RETURN;
END IF;
END LOOP;
RETURN;
END;
$$
LANGUAGE 'plpgsql' STABLE COST 1000 ROWS 50;
ALTER FUNCTION geocode_address(IN norm_addy, IN integer, IN geometry) SET join_collapse_limit='2';
|
INSERT INTO encounter_type (name, description, creator, date_created, uuid) VALUES ('ADMISSION', 'ADMISSION encounter', 1, curdate(), uuid());
|
create database test;
use database test;
create table T1 (
id long not null,
i1 int,
f1 float,
d1 double,
s1 string(100) not null,
primary key(id)
);
create table T2 (
id long,
i2 int,
f2 float,
d2 double,
s2 string(50) not null,
primary key (id)
);
create table T3 (
id long,
i3 int,
f3 float,
d3 double,
s3 string(50),
primary key (id)
);
insert into T1 values (1, 1, 1.0, 1.0, "1");
insert into T1 values (2, 2, 2.0, 2.0, "2");
insert into T1 values (3, 3, 3.0, 3.0, "3");
insert into T1 values (4, 4, 4.0, 4.0, "4");
insert into T1 values (5, 5, 5.0, 5.0, "5");
insert into T1 values (6, 6, 6.0, 6.0, "6");
insert into T1 values (7, 7, 7.0, 7.0, "7");
insert into T1 values (8, 8, 8.0, 8.0, "8");
insert into T1 values (9, 9, 9.0, 9.0, "9");
insert into T1 values (10, 10, 10.0, 10.0, "10");
insert into T1 values (11, 11, 11.0, 11.0, "11");
insert into T1 values (12, 12, 12.0, 12.0, "12");
insert into T1 values (13, 13, 13.0, 13.0, "13");
insert into T1 values (14, 14, 14.0, 14.0, "14");
insert into T1 values (15, 15, 15.0, 15.0, "15");
insert into T1 values (16, 16, 16.0, 16.0, "16");
insert into T1 values (17, 17, 17.0, 17.0, "17");
insert into T1 values (18, 18, 18.0, 18.0, "18");
insert into T1 values (19, 19, 19.0, 19.0, "19");
insert into T1 values (20, 20, 20.0, 20.0, "20");
insert into T1 values (21, null, 0.0, 0.0, "0");
insert into T1 values (22, 0, null, 0.0, "0");
insert into T1 values (23, 0, 0.0, null, "0");
insert into T2 values (1, 1, 1.0, 1.0, "1");
insert into T2 values (2, 2, 2.0, 2.0, "2");
insert into T2 values (3, 3, 3.0, 3.0, "3");
insert into T2 values (4, 4, 4.0, 4.0, "4");
insert into T2 values (5, 5, 5.0, 5.0, "5");
insert into T2 values (6, 6, 6.0, 6.0, "6");
insert into T2 values (7, 7, 7.0, 7.0, "7");
insert into T2 values (8, 8, 8.0, 8.0, "8");
insert into T2 values (9, 9, 9.0, 9.0, "9");
insert into T2 values (10, 10, 10.0, 10.0, "10");
insert into T2 values (11, 11, 11.0, 11.0, "11");
insert into T2 values (12, 12, 12.0, 12.0, "12");
insert into T2 values (13, 13, 13.0, 13.0, "13");
insert into T2 values (14, 14, 14.0, 14.0, "14");
insert into T2 values (15, 15, 15.0, 15.0, "15");
insert into T2 values (16, 16, 16.0, 16.0, "16");
insert into T2 values (17, 17, 17.0, 17.0, "17");
insert into T2 values (18, 18, 18.0, 18.0, "18");
insert into T2 values (19, 19, 19.0, 19.0, "19");
insert into T2 values (20, 20, 20.0, 20.0, "20");
insert into T2 values (21, null, 0.0, 0.0, "0");
insert into T2 values (22, 0, null, 0.0, "0");
insert into T2 values (23, 0, 0.0, null, "0");
insert into T3 values (1, 1, 1.0, 1.0, "1");
insert into T3 values (2, 2, 2.0, 2.0, "2");
insert into T3 values (3, 3, 3.0, 3.0, "3");
insert into T3 values (4, 4, 4.0, 4.0, "4");
insert into T3 values (5, 5, 5.0, 5.0, "5");
select * from T1 join T2 on T1.id = T2.id;
select * from T1 join T2 on T1.id < T2.id where T2.id < 10;
select * from T2 join T1 on T1.id <> T2.id where T1.i1 is null and T2.f2 is null;
select * from T2 join T1 on T1.id <> T2.id where T1.i1 < 3 and T2.id = 4;
select * from T1 join T2 on T1.id = T2.id join T3 on T3.id = T2.id;
drop database test;
|
{%- materialization view, default -%}
{%- set identifier = model['alias'] -%}
{%- set tmp_identifier = identifier + '__dbt_tmp' -%}
{%- set backup_identifier = identifier + '__dbt_backup' -%}
{%- set non_destructive_mode = (flags.NON_DESTRUCTIVE == True) -%}
{%- set existing_relations = adapter.list_relations(schema=schema) -%}
{%- set old_relation = adapter.get_relation(relations_list=existing_relations,
schema=schema, identifier=identifier) -%}
{%- set target_relation = api.Relation.create(identifier=identifier, schema=schema,
type='view') -%}
{%- set intermediate_relation = api.Relation.create(identifier=tmp_identifier,
schema=schema, type='view') -%}
{%- set backup_relation = api.Relation.create(identifier=backup_identifier,
schema=schema, type='view') -%}
{%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}
{%- set has_transactional_hooks = (hooks | selectattr('transaction', 'equalto', True) | list | length) > 0 %}
{%- set should_ignore = non_destructive_mode and exists_as_view %}
{{ run_hooks(pre_hooks, inside_transaction=False) }}
-- drop the temp relations if they exists for some reason
{{ adapter.drop_relation(intermediate_relation) }}
{{ adapter.drop_relation(backup_relation) }}
-- `BEGIN` happens here:
{{ run_hooks(pre_hooks, inside_transaction=True) }}
-- build model
{% if should_ignore -%}
{#
-- Materializations need to a statement with name='main'.
-- We could issue a no-op query here (like `select 1`), but that's wasteful. Instead:
-- 1) write the sql contents out to the compiled dirs
-- 2) return a status and result to the caller
#}
{% call noop_statement('main', status="PASS", res=None) -%}
-- Not running : non-destructive mode
{{ sql }}
{%- endcall %}
{%- else -%}
{% call statement('main') -%}
{{ create_view_as(intermediate_relation, sql) }}
{%- endcall %}
{%- endif %}
{{ run_hooks(post_hooks, inside_transaction=True) }}
-- cleanup
{% if not should_ignore -%}
-- move the existing view out of the way
{% if exists_as_view %}
{{ adapter.rename_relation(target_relation, backup_relation) }}
{% endif %}
{{ adapter.rename_relation(intermediate_relation, target_relation) }}
{%- endif %}
{#
-- Don't commit in non-destructive mode _unless_ there are in-transaction hooks
-- TODO : Figure out some other way of doing this that isn't as fragile
#}
{% if has_transactional_hooks or not should_ignore %}
{{ adapter.commit() }}
{{ drop_relation_if_exists(backup_relation) }}
{% endif %}
{{ run_hooks(post_hooks, inside_transaction=False) }}
{%- endmaterialization -%}
|
-- start_ignore
create schema sql_partition_401_450;
set search_path to sql_partition_401_450;
-- end_ignore
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_float;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_float
(
col1 float,
col2 float,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_float VALUES(2.00,2.00,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_float DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_float VALUES(2.00,2.00,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_float ADD COLUMN col5 float DEFAULT 2.00;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_float SELECT 2.00,2.00,'c',2.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_float SET col5 = 1.00 WHERE col2 = 2.00 AND col1 = 2.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float WHERE col5 = 1.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_float ADD PARTITION partfour start(30.00) end(40.00);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_float ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_float SELECT 35.00,35.00,'d',35.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_float SET col5 = 1.00 WHERE col2 = 35.00 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_float SET col2 = 1.00 WHERE col2 = 35.00 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float WHERE col5 = 1.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_float ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_int;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int
(
col1 int,
col2 int,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(10001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10001) end(20001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20001) end(30001));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int VALUES(20000,20000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int VALUES(20000,20000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int ADD COLUMN col5 int DEFAULT 20000;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int SELECT 20000,20000,'c',20000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int SET col5 = 10000 WHERE col2 = 20000 AND col1 = 20000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int WHERE col5 = 10000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int ADD PARTITION partfour start(30001) end(40001);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int SELECT 35000,35000,'d',35000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int SET col5 = 10000 WHERE col2 = 35000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int SET col2 = 10000 WHERE col2 = 35000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int WHERE col5 = 10000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_int4;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int4
(
col1 int4,
col2 int4,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(100000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(100000001) end(200000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(200000001) end(300000001));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int4 VALUES(20000000,20000000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int4 VALUES(20000000,20000000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ADD COLUMN col5 int4 DEFAULT 20000000;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int4 SELECT 20000000,20000000,'c',20000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 SET col5 = 10000000 WHERE col2 = 20000000 AND col1 = 20000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 WHERE col5 = 10000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ADD PARTITION partfour start(300000001) end(400000001);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int4 SELECT 35000000,35000000,'d',35000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 SET col5 = 10000000 WHERE col2 = 35000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int4 SET col2 = 10000000 WHERE col2 = 35000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 WHERE col5 = 10000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int4 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_int8;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int8
(
col1 int8,
col2 int8,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(1000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(1000000000000000001) end(2000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(2000000000000000001) end(3000000000000000001));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int8 VALUES(2000000000000000000,2000000000000000000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int8 VALUES(2000000000000000000,2000000000000000000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ADD COLUMN col5 int8 DEFAULT 2000000000000000000;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int8 SELECT 2000000000000000000,2000000000000000000,'c',2000000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 SET col5 = 1000000000000000000 WHERE col2 = 2000000000000000000 AND col1 = 2000000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 WHERE col5 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ADD PARTITION partfour start(3000000000000000001) end(4000000000000000001);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_int8 SELECT 3500000000000000000,3500000000000000000,'d',3500000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 SET col5 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_int8 SET col2 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 WHERE col5 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_int8 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_interval;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_interval
(
col1 interval,
col2 interval,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('1 sec') end('1 min') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('1 min') end('1 hour') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('1 hour') end('12 hours'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_interval VALUES('1 hour','1 hour','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_interval DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_interval VALUES('1 hour','1 hour','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_interval ADD COLUMN col5 interval DEFAULT '1 hour';
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_interval SELECT '1 hour','1 hour','c','1 hour';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_interval SET col5 = '12 hours' WHERE col2 = '1 hour' AND col1 = '1 hour';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval WHERE col5 = '12 hours';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_interval ADD PARTITION partfour start('12 hours') end('1 day') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_interval ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_interval SELECT '14 hours','14 hours','d','14 hours';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_interval SET col5 = '12 hours' WHERE col2 = '14 hours' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_interval SET col2 = '12 hours' WHERE col2 = '14 hours' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval WHERE col5 = '12 hours';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_interval ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_numeric;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric
(
col1 numeric,
col2 numeric,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.000000) end(10.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.000000) end(20.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.000000) end(30.000000));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_numeric VALUES(2.000000,2.000000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_numeric VALUES(2.000000,2.000000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ADD COLUMN col5 numeric DEFAULT 2.000000;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_numeric SELECT 2.000000,2.000000,'c',2.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric SET col5 = 1.000000 WHERE col2 = 2.000000 AND col1 = 2.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric WHERE col5 = 1.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ADD PARTITION partfour start(30.000000) end(40.000000) inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_numeric SELECT 35.000000,35.000000,'d',35.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric SET col5 = 1.000000 WHERE col2 = 35.000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_numeric SET col2 = 1.000000 WHERE col2 = 35.000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric WHERE col5 = 1.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_numeric ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_text;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_text
(
col1 text,
col2 text,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY LIST(col2)(partition partone VALUES('abcdefghijklmnop') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo VALUES('qrstuvwxyz') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree VALUES('ghi'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_text VALUES('abcdefghijklmnop','abcdefghijklmnop','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_text DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_text VALUES('abcdefghijklmnop','abcdefghijklmnop','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_text ADD COLUMN col5 text DEFAULT 'abcdefghijklmnop';
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_text SELECT 'abcdefghijklmnop','abcdefghijklmnop','c','abcdefghijklmnop';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_text SET col5 = 'qrstuvwxyz' WHERE col2 = 'abcdefghijklmnop' AND col1 = 'abcdefghijklmnop';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text WHERE col5 = 'qrstuvwxyz';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_text ADD PARTITION partfour VALUES('xyz');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_text ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_text SELECT 'xyz','xyz','d','xyz';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_text SET col5 = 'qrstuvwxyz' WHERE col2 = 'xyz' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_text SET col2 = 'qrstuvwxyz' WHERE col2 = 'xyz' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text WHERE col5 = 'qrstuvwxyz';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_text ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_time;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_time
(
col1 time,
col2 time,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('12:00:00') end('18:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('18:00:00') end('24:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('0:00:00') end('11:00:00'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_time VALUES('12:00:00','12:00:00','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_time DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_time VALUES('12:00:00','12:00:00','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_time ADD COLUMN col5 time DEFAULT '12:00:00';
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_time SELECT '12:00:00','12:00:00','c','12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_time SET col5 = '1:00:00' WHERE col2 = '12:00:00' AND col1 = '12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time WHERE col5 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_time ADD PARTITION partfour start('11:00:00') end('12:00:00');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_time ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_time SELECT '11:30:00','11:30:00','d','11:30:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_time SET col5 = '1:00:00' WHERE col2 = '11:30:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_time SET col2 = '1:00:00' WHERE col2 = '11:30:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time WHERE col5 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_time ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp
(
col1 timestamp,
col2 timestamp,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00') end('2013-12-31 12:00:00') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00') end('2014-01-01 12:00:00') inclusive WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-02 12:00:00') end('2014-02-01 12:00:00'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp VALUES('2013-12-31 12:00:00','2013-12-31 12:00:00','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp VALUES('2013-12-31 12:00:00','2013-12-31 12:00:00','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ADD COLUMN col5 timestamp DEFAULT '2013-12-31 12:00:00';
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp SELECT '2013-12-31 12:00:00','2013-12-31 12:00:00','c','2013-12-31 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp SET col5 = '2014-01-01 12:00:00' WHERE col2 = '2013-12-31 12:00:00' AND col1 = '2013-12-31 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp WHERE col5 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ADD PARTITION partfour start('2014-02-01 12:00:00') end('2014-03-01 12:00:00') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp SELECT '2014-02-10 12:00:00','2014-02-10 12:00:00','d','2014-02-10 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp SET col5 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp SET col2 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp WHERE col5 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamp ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz
(
col1 timestamptz,
col2 timestamptz,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00 PST') end('2013-12-31 12:00:00 PST') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00 PST') end('2014-01-01 12:00:00 PST') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01 12:00:00 PST') end('2014-02-01 12:00:00 PST'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz VALUES('2013-12-31 12:00:00 PST','2013-12-31 12:00:00 PST','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz VALUES('2013-12-31 12:00:00 PST','2013-12-31 12:00:00 PST','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ADD COLUMN col5 timestamptz DEFAULT '2013-12-31 12:00:00 PST';
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz SELECT '2013-12-31 12:00:00 PST','2013-12-31 12:00:00 PST','c','2013-12-31 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz SET col5 = '2014-01-01 12:00:00 PST' WHERE col2 = '2013-12-31 12:00:00 PST' AND col1 = '2013-12-31 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz WHERE col5 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ADD PARTITION partfour start('2014-02-01 12:00:00 PST') end('2014-03-01 12:00:00 PST') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz SELECT '2014-02-10 12:00:00 PST','2014-02-10 12:00:00 PST','d','2014-02-10 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz SET col5 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz SET col2 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz WHERE col5 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_dml_timestamptz ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char
(
col1 char,
col2 char,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY LIST(col2)(partition partone VALUES('a','b','c','d','e','f','g','h') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo VALUES('i','j','k','l','m','n','o','p') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree VALUES('q','r','s','t','u','v','w','x'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char VALUES('g','g','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char VALUES('g','g','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ADD COLUMN col5 char DEFAULT 'g';
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_char;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_char on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char SELECT 'g','g','c','g';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char SET col5 = 'a' WHERE col2 = 'g' AND col1 = 'g';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char WHERE col5 = 'a';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ADD PARTITION partfour VALUES('y','z','-');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char SELECT 'z','z','d','z';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char SET col5 = 'a' WHERE col2 = 'z' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char SET col2 = 'a' WHERE col2 = 'z' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char WHERE col5 = 'a';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_char ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date
(
col1 date,
col2 date,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01') end('2013-12-31') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31') end('2014-01-01') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01') end('2014-02-01'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date VALUES('2013-12-30','2013-12-30','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date VALUES('2013-12-30','2013-12-30','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ADD COLUMN col5 date DEFAULT '2013-12-30';
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_date;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_date on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date SELECT '2013-12-30','2013-12-30','c','2013-12-30';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date SET col5 = '2014-01-01' WHERE col2 = '2013-12-30' AND col1 = '2013-12-30';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date WHERE col5 = '2014-01-01';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ADD PARTITION partfour start('2014-02-01') end('2014-03-01') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date SELECT '2014-02-10','2014-02-10','d','2014-02-10';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date SET col5 = '2014-01-01' WHERE col2 = '2014-02-10' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date SET col2 = '2014-01-01' WHERE col2 = '2014-02-10' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date WHERE col5 = '2014-01-01';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_date ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal
(
col1 decimal,
col2 decimal,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal VALUES(2.00,2.00,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal VALUES(2.00,2.00,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ADD COLUMN col5 decimal DEFAULT 2.00;
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_decimal;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_decimal on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal SELECT 2.00,2.00,'c',2.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal SET col5 = 1.00 WHERE col2 = 2.00 AND col1 = 2.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal WHERE col5 = 1.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ADD PARTITION partfour start(30.00) end(40.00) inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal SELECT 35.00,35.00,'d',35.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal SET col5 = 1.00 WHERE col2 = 35.00 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal SET col2 = 1.00 WHERE col2 = 35.00 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal WHERE col5 = 1.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_decimal ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float
(
col1 float,
col2 float,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float VALUES(2.00,2.00,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float VALUES(2.00,2.00,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ADD COLUMN col5 float DEFAULT 2.00;
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_float;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_float on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float SELECT 2.00,2.00,'c',2.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float SET col5 = 1.00 WHERE col2 = 2.00 AND col1 = 2.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float WHERE col5 = 1.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ADD PARTITION partfour start(30.00) end(40.00);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float SELECT 35.00,35.00,'d',35.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float SET col5 = 1.00 WHERE col2 = 35.00 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float SET col2 = 1.00 WHERE col2 = 35.00 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float WHERE col5 = 1.00;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_float ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int
(
col1 int,
col2 int,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(10001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10001) end(20001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20001) end(30001));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int VALUES(10000,10000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int VALUES(10000,10000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ADD COLUMN col5 int DEFAULT 10000;
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_int;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_int on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int SELECT 10000,10000,'c',10000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int SET col5 = 20000 WHERE col2 = 10000 AND col1 = 10000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int WHERE col5 = 20000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ADD PARTITION partfour start(30001) end(40001);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int SELECT 35000,35000,'d',35000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int SET col5 = 20000 WHERE col2 = 35000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int SET col2 = 20000 WHERE col2 = 35000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int WHERE col5 = 20000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4
(
col1 int4,
col2 int4,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(100000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(100000001) end(200000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(200000001) end(300000001));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 VALUES(20000000,20000000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 VALUES(20000000,20000000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ADD COLUMN col5 int4 DEFAULT 20000000;
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_int4;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_int4 on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 SELECT 20000000,20000000,'c',20000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 SET col5 = 10000000 WHERE col2 = 20000000 AND col1 = 20000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 WHERE col5 = 10000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ADD PARTITION partfour start(300000001) end(400000001);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 SELECT 350000000,350000000,'d',350000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 SET col5 = 10000000 WHERE col2 = 350000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 SET col2 = 10000000 WHERE col2 = 350000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 WHERE col5 = 10000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int4 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8
(
col1 int8,
col2 int8,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(1000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(1000000000000000001) end(2000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(2000000000000000001) end(3000000000000000001));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 VALUES(200000000000000000,200000000000000000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 VALUES(200000000000000000,200000000000000000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ADD COLUMN col5 int8 DEFAULT 200000000000000000;
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_int8;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_int8 on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 SELECT 200000000000000000,200000000000000000,'c',200000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 SET col5 = 1000000000000000000 WHERE col2 = 200000000000000000 AND col1 = 200000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 WHERE col5 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ADD PARTITION partfour start(3000000000000000001) end(4000000000000000001);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 SELECT 3500000000000000000,3500000000000000000,'d',3500000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 SET col5 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 SET col2 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 WHERE col5 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_int8 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval
(
col1 interval,
col2 interval,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('1 sec') end('1 min') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('1 min') end('1 hour') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('1 hour') end('12 hours'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval VALUES('10 secs','10 secs','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval VALUES('10 secs','10 secs','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ADD COLUMN col5 interval DEFAULT '10 secs';
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_interval;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_interval on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval SELECT '10 secs','10 secs','c','10 secs';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval SET col5 = '11 hours' WHERE col2 = '10 secs' AND col1 = '10 secs';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval WHERE col5 = '11 hours';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ADD PARTITION partfour start('12 hours') end('1 day') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval SELECT '14 hours','14 hours','d','14 hours';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval SET col5 = '11 hours' WHERE col2 = '14 hours' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval SET col2 = '11 hours' WHERE col2 = '14 hours' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval WHERE col5 = '11 hours';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_interval ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric
(
col1 numeric,
col2 numeric,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.000000) end(10.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.000000) end(20.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.000000) end(30.000000));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric VALUES(2.000000,2.000000,'a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric VALUES(2.000000,2.000000,'b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ADD COLUMN col5 numeric DEFAULT 2.000000;
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_numeric;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_numeric on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric SELECT 2.000000,2.000000,'c',2.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric SET col5 = 1.000000 WHERE col2 = 2.000000 AND col1 = 2.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric WHERE col5 = 1.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ADD PARTITION partfour start(30.000000) end(40.000000) inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric SELECT 35.000000,35.000000,'d',35.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric SET col5 = 1.000000 WHERE col2 = 35.000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric SET col2 = 1.000000 WHERE col2 = 35.000000 AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric WHERE col5 = 1.000000;
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_numeric ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time
(
col1 time,
col2 time,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('12:00:00') end('18:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('18:00:00') end('24:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('0:00:00') end('11:00:00'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time VALUES('12:00:00','12:00:00','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time VALUES('12:00:00','12:00:00','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ADD COLUMN col5 time DEFAULT '12:00:00';
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_time;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_time on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time SELECT '12:00:00','12:00:00','c','12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time SET col5 = '1:00:00' WHERE col2 = '12:00:00' AND col1 = '12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time WHERE col5 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ADD PARTITION partfour start('11:00:00') end('12:00:00');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time SELECT '11:30:00','11:30:00','d','11:30:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time SET col5 = '1:00:00' WHERE col2 = '11:30:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time SET col2 = '1:00:00' WHERE col2 = '11:30:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time WHERE col5 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_time ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp
(
col1 timestamp,
col2 timestamp,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00') end('2013-12-31 12:00:00') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00') end('2014-01-01 12:00:00') inclusive WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-02 12:00:00') end('2014-02-01 12:00:00'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp VALUES('2013-12-30 12:00:00','2013-12-30 12:00:00','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp VALUES('2013-12-30 12:00:00','2013-12-30 12:00:00','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ADD COLUMN col5 timestamp DEFAULT '2013-12-30 12:00:00';
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_timestamp;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_timestamp on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp SELECT '2013-12-30 12:00:00','2013-12-30 12:00:00','c','2013-12-30 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp SET col5 = '2014-01-01 12:00:00' WHERE col2 = '2013-12-30 12:00:00' AND col1 = '2013-12-30 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp WHERE col5 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ADD PARTITION partfour start('2014-02-01 12:00:00') end('2014-03-01 12:00:00') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp SELECT '2014-02-10 12:00:00','2014-02-10 12:00:00','d','2014-02-10 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp SET col5 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp SET col2 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp WHERE col5 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamp ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz;
CREATE TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz
(
col1 timestamptz,
col2 timestamptz,
col3 char,
col4 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00 PST') end('2013-12-31 12:00:00 PST') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00 PST') end('2014-01-01 12:00:00 PST') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01 12:00:00 PST') end('2014-02-01 12:00:00 PST'));
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz VALUES('2013-12-30 12:00:00 PST','2013-12-30 12:00:00 PST','a',0);
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz DROP COLUMN col4;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz VALUES('2013-12-30 12:00:00 PST','2013-12-30 12:00:00 PST','b');
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ADD COLUMN col5 timestamptz DEFAULT '2013-12-30 12:00:00 PST';
DROP INDEX IF EXISTS mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_timestamptz;
CREATE INDEX mpp21090_pttab_dropcol_addcol_addpt_idx_dml_idx_timestamptz on mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz(col5);
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz SELECT '2013-12-30 12:00:00 PST','2013-12-30 12:00:00 PST','c','2013-12-30 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz SET col5 = '2014-01-01 12:00:00 PST' WHERE col2 = '2013-12-30 12:00:00 PST' AND col1 = '2013-12-30 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz WHERE col5 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ADD PARTITION partfour start('2014-02-01 12:00:00 PST') end('2014-03-01 12:00:00 PST') inclusive;
ALTER TABLE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ADD DEFAULT partition def;
INSERT INTO mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz SELECT '2014-02-10 12:00:00 PST','2014-02-10 12:00:00 PST','d','2014-02-10 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz SET col5 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz SET col2 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col3 ='d';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz WHERE col5 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropcol_addcol_addpt_idx_dml_timestamptz ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_char;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_char
(
col1 char,
col2 char,
col3 char,
col4 char,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY LIST(col2)(partition partone VALUES('a','b','c','d','e','f','g','h') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo VALUES('i','j','k','l','m','n','o','p') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree VALUES('q','r','s','t','u','v','w','x'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_char VALUES('x','x','a','x',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_char DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_char ADD PARTITION partfour VALUES('y','z','-');
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_char SELECT 'z','b','z', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_char ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_char SET col4 = '-' WHERE col2 = 'z' AND col4 = 'z';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_char ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_char SET col2 = '-' WHERE col2 = 'z' AND col4 = '-';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_char ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_char WHERE col2 = '-';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_char ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_date;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_date
(
col1 date,
col2 date,
col3 char,
col4 date,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01') end('2013-12-31') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31') end('2014-01-01') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01') end('2014-02-01'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_date VALUES('2013-12-31','2013-12-31','a','2013-12-31',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_date DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_date ADD PARTITION partfour start('2014-02-01') end('2014-03-01') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_date SELECT '2014-02-10','b','2014-02-10', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_date ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_date SET col4 = '2014-01-01' WHERE col2 = '2014-02-10' AND col4 = '2014-02-10';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_date ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_date SET col2 = '2014-01-01' WHERE col2 = '2014-02-10' AND col4 = '2014-01-01';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_date ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_date WHERE col2 = '2014-01-01';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_date ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_decimal;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_decimal
(
col1 decimal,
col2 decimal,
col3 char,
col4 decimal,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_decimal VALUES(2.00,2.00,'a',2.00,0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_decimal DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_decimal ADD PARTITION partfour start(30.00) end(40.00) inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_decimal SELECT 35.00,'b',35.00, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_decimal ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_decimal SET col4 = 1.00 WHERE col2 = 35.00 AND col4 = 35.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_decimal ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_decimal SET col2 = 1.00 WHERE col2 = 35.00 AND col4 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_decimal ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_decimal WHERE col2 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_decimal ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_float;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_float
(
col1 float,
col2 float,
col3 char,
col4 float,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_float VALUES(2.00,2.00,'a',2.00,0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_float DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_float ADD PARTITION partfour start(30.00) end(40.00);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_float SELECT 35.00,'b',35.00, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_float ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_float SET col4 = 1.00 WHERE col2 = 35.00 AND col4 = 35.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_float ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_float SET col2 = 1.00 WHERE col2 = 35.00 AND col4 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_float ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_float WHERE col2 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_float ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_char;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_char
(
col1 char,
col2 char,
col3 char,
col4 char,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY LIST(col2)(partition partone VALUES('a','b','c','d','e','f','g','h') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo VALUES('i','j','k','l','m','n','o','p') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree VALUES('q','r','s','t','u','v','w','x'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_char VALUES('g','g','a','g',0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_char;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_char on mpp21090_pttab_dropfirstcol_addpt_index_char(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_char DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_char ADD PARTITION partfour VALUES('y','z','-');
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_char SELECT 'z','b','z', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_char ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_char SET col4 = 'a' WHERE col2 = 'z' AND col4 = 'z';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_char ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_char SET col2 = 'a' WHERE col2 = 'z' AND col4 = 'a';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_char ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_char WHERE col2 = 'a';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_char ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_date;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_date
(
col1 date,
col2 date,
col3 char,
col4 date,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01') end('2013-12-31') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31') end('2014-01-01') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01') end('2014-02-01'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_date VALUES('2013-12-30','2013-12-30','a','2013-12-30',0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_date;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_date on mpp21090_pttab_dropfirstcol_addpt_index_date(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_date DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_date ADD PARTITION partfour start('2014-02-01') end('2014-03-01') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_date SELECT '2014-02-10','b','2014-02-10', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_date ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_date SET col4 = '2014-01-01' WHERE col2 = '2014-02-10' AND col4 = '2014-02-10';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_date ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_date SET col2 = '2014-01-01' WHERE col2 = '2014-02-10' AND col4 = '2014-01-01';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_date ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_date WHERE col2 = '2014-01-01';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_date ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_decimal;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_decimal
(
col1 decimal,
col2 decimal,
col3 char,
col4 decimal,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_decimal VALUES(2.00,2.00,'a',2.00,0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_decimal;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_decimal on mpp21090_pttab_dropfirstcol_addpt_index_decimal(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_decimal DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_decimal ADD PARTITION partfour start(30.00) end(40.00) inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_decimal SELECT 35.00,'b',35.00, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_decimal ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_decimal SET col4 = 1.00 WHERE col2 = 35.00 AND col4 = 35.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_decimal ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_decimal SET col2 = 1.00 WHERE col2 = 35.00 AND col4 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_decimal ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_decimal WHERE col2 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_decimal ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_float;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_float
(
col1 float,
col2 float,
col3 char,
col4 float,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_float VALUES(2.00,2.00,'a',2.00,0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_float;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_float on mpp21090_pttab_dropfirstcol_addpt_index_float(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_float DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_float ADD PARTITION partfour start(30.00) end(40.00);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_float SELECT 35.00,'b',35.00, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_float ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_float SET col4 = 1.00 WHERE col2 = 35.00 AND col4 = 35.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_float ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_float SET col2 = 1.00 WHERE col2 = 35.00 AND col4 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_float ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_float WHERE col2 = 1.00;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_float ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_int;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_int
(
col1 int,
col2 int,
col3 char,
col4 int,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(10001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10001) end(20001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20001) end(30001));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_int VALUES(10000,10000,'a',10000,0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_int;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_int on mpp21090_pttab_dropfirstcol_addpt_index_int(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_int DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_int ADD PARTITION partfour start(30001) end(40001);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_int SELECT 35000,'b',35000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_int SET col4 = 20000 WHERE col2 = 35000 AND col4 = 35000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_int SET col2 = 20000 WHERE col2 = 35000 AND col4 = 20000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_int WHERE col2 = 20000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_int4;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_int4
(
col1 int4,
col2 int4,
col3 char,
col4 int4,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(100000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(100000001) end(200000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(200000001) end(300000001));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_int4 VALUES(20000000,20000000,'a',20000000,0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_int4;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_int4 on mpp21090_pttab_dropfirstcol_addpt_index_int4(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_int4 DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_int4 ADD PARTITION partfour start(300000001) end(400000001);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_int4 SELECT 350000000,'b',350000000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int4 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_int4 SET col4 = 10000000 WHERE col2 = 350000000 AND col4 = 350000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int4 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_int4 SET col2 = 10000000 WHERE col2 = 350000000 AND col4 = 10000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int4 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_int4 WHERE col2 = 10000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int4 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_int8;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_int8
(
col1 int8,
col2 int8,
col3 char,
col4 int8,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(1000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(1000000000000000001) end(2000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(2000000000000000001) end(3000000000000000001));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_int8 VALUES(200000000000000000,200000000000000000,'a',200000000000000000,0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_int8;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_int8 on mpp21090_pttab_dropfirstcol_addpt_index_int8(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_int8 DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_int8 ADD PARTITION partfour start(3000000000000000001) end(4000000000000000001);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_int8 SELECT 3500000000000000000,'b',3500000000000000000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int8 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_int8 SET col4 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col4 = 3500000000000000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int8 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_int8 SET col2 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col4 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int8 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_int8 WHERE col2 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_int8 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_interval;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_interval
(
col1 interval,
col2 interval,
col3 char,
col4 interval,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('1 sec') end('1 min') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('1 min') end('1 hour') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('1 hour') end('12 hours'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_interval VALUES('10 secs','10 secs','a','10 secs',0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_interval;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_interval on mpp21090_pttab_dropfirstcol_addpt_index_interval(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_interval DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_interval ADD PARTITION partfour start('12 hours') end('1 day') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_interval SELECT '14 hours','b','14 hours', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_interval ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_interval SET col4 = '11 hours' WHERE col2 = '14 hours' AND col4 = '14 hours';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_interval ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_interval SET col2 = '11 hours' WHERE col2 = '14 hours' AND col4 = '11 hours';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_interval ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_interval WHERE col2 = '11 hours';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_interval ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_numeric;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_numeric
(
col1 numeric,
col2 numeric,
col3 char,
col4 numeric,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.000000) end(10.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.000000) end(20.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.000000) end(30.000000));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_numeric VALUES(2.000000,2.000000,'a',2.000000,0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_numeric;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_numeric on mpp21090_pttab_dropfirstcol_addpt_index_numeric(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_numeric DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_numeric ADD PARTITION partfour start(30.000000) end(40.000000) inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_numeric SELECT 35.000000,'b',35.000000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_numeric ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_numeric SET col4 = 1.000000 WHERE col2 = 35.000000 AND col4 = 35.000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_numeric ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_numeric SET col2 = 1.000000 WHERE col2 = 35.000000 AND col4 = 1.000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_numeric ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_numeric WHERE col2 = 1.000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_numeric ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_time;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_time
(
col1 time,
col2 time,
col3 char,
col4 time,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('12:00:00') end('18:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('18:00:00') end('24:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('0:00:00') end('11:00:00'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_time VALUES('12:00:00','12:00:00','a','12:00:00',0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_time;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_time on mpp21090_pttab_dropfirstcol_addpt_index_time(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_time DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_time ADD PARTITION partfour start('11:00:00') end('12:00:00');
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_time SELECT '11:30:00','b','11:30:00', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_time ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_time SET col4 = '1:00:00' WHERE col2 = '11:30:00' AND col4 = '11:30:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_time ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_time SET col2 = '1:00:00' WHERE col2 = '11:30:00' AND col4 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_time ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_time WHERE col2 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_time ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_timestamp;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_timestamp
(
col1 timestamp,
col2 timestamp,
col3 char,
col4 timestamp,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00') end('2013-12-31 12:00:00') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00') end('2014-01-01 12:00:00') inclusive WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-02 12:00:00') end('2014-02-01 12:00:00'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_timestamp VALUES('2013-12-30 12:00:00','2013-12-30 12:00:00','a','2013-12-30 12:00:00',0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_timestamp;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_timestamp on mpp21090_pttab_dropfirstcol_addpt_index_timestamp(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_timestamp DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_timestamp ADD PARTITION partfour start('2014-02-01 12:00:00') end('2014-03-01 12:00:00') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_timestamp SELECT '2014-02-10 12:00:00','b','2014-02-10 12:00:00', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamp ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_timestamp SET col4 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col4 = '2014-02-10 12:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamp ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_timestamp SET col2 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col4 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamp ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamp WHERE col2 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamp ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_timestamptz;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_index_timestamptz
(
col1 timestamptz,
col2 timestamptz,
col3 char,
col4 timestamptz,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00 PST') end('2013-12-31 12:00:00 PST') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00 PST') end('2014-01-01 12:00:00 PST') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01 12:00:00 PST') end('2014-02-01 12:00:00 PST'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_timestamptz VALUES('2013-12-30 12:00:00 PST','2013-12-30 12:00:00 PST','a','2013-12-30 12:00:00 PST',0);
DROP INDEX IF EXISTS mpp21090_pttab_dropfirstcol_addpt_index_idx_timestamptz;
CREATE INDEX mpp21090_pttab_dropfirstcol_addpt_index_idx_timestamptz on mpp21090_pttab_dropfirstcol_addpt_index_timestamptz(col2);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_timestamptz DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_index_timestamptz ADD PARTITION partfour start('2014-02-01 12:00:00 PST') end('2014-03-01 12:00:00 PST') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_index_timestamptz SELECT '2014-02-10 12:00:00 PST','b','2014-02-10 12:00:00 PST', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamptz ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_timestamptz SET col4 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col4 = '2014-02-10 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamptz ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_index_timestamptz SET col2 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col4 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamptz ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamptz WHERE col2 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_index_timestamptz ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_int;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_int
(
col1 int,
col2 int,
col3 char,
col4 int,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(10001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10001) end(20001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20001) end(30001));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_int VALUES(20000,20000,'a',20000,0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_int DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_int ADD PARTITION partfour start(30001) end(40001);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_int SELECT 35000,'b',35000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_int SET col4 = 10000 WHERE col2 = 35000 AND col4 = 35000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_int SET col2 = 10000 WHERE col2 = 35000 AND col4 = 10000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_int WHERE col2 = 10000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_int4;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_int4
(
col1 int4,
col2 int4,
col3 char,
col4 int4,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(100000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(100000001) end(200000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(200000001) end(300000001));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_int4 VALUES(20000000,20000000,'a',20000000,0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_int4 DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_int4 ADD PARTITION partfour start(300000001) end(400000001);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_int4 SELECT 35000000,'b',35000000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int4 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_int4 SET col4 = 10000000 WHERE col2 = 35000000 AND col4 = 35000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int4 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_int4 SET col2 = 10000000 WHERE col2 = 35000000 AND col4 = 10000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int4 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_int4 WHERE col2 = 10000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int4 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_int8;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_int8
(
col1 int8,
col2 int8,
col3 char,
col4 int8,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1) end(1000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(1000000000000000001) end(2000000000000000001) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(2000000000000000001) end(3000000000000000001));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_int8 VALUES(2000000000000000000,2000000000000000000,'a',2000000000000000000,0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_int8 DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_int8 ADD PARTITION partfour start(3000000000000000001) end(4000000000000000001);
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_int8 SELECT 3500000000000000000,'b',3500000000000000000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int8 ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_int8 SET col4 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col4 = 3500000000000000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int8 ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_int8 SET col2 = 1000000000000000000 WHERE col2 = 3500000000000000000 AND col4 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int8 ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_int8 WHERE col2 = 1000000000000000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_int8 ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_interval;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_interval
(
col1 interval,
col2 interval,
col3 char,
col4 interval,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('1 sec') end('1 min') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('1 min') end('1 hour') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('1 hour') end('12 hours'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_interval VALUES('1 hour','1 hour','a','1 hour',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_interval DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_interval ADD PARTITION partfour start('12 hours') end('1 day') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_interval SELECT '14 hours','b','14 hours', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_interval ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_interval SET col4 = '12 hours' WHERE col2 = '14 hours' AND col4 = '14 hours';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_interval ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_interval SET col2 = '12 hours' WHERE col2 = '14 hours' AND col4 = '12 hours';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_interval ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_interval WHERE col2 = '12 hours';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_interval ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_numeric;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_numeric
(
col1 numeric,
col2 numeric,
col3 char,
col4 numeric,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.000000) end(10.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.000000) end(20.000000) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.000000) end(30.000000));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_numeric VALUES(2.000000,2.000000,'a',2.000000,0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_numeric DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_numeric ADD PARTITION partfour start(30.000000) end(40.000000) inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_numeric SELECT 35.000000,'b',35.000000, 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_numeric ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_numeric SET col4 = 1.000000 WHERE col2 = 35.000000 AND col4 = 35.000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_numeric ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_numeric SET col2 = 1.000000 WHERE col2 = 35.000000 AND col4 = 1.000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_numeric ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_numeric WHERE col2 = 1.000000;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_numeric ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_text;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_text
(
col1 text,
col2 text,
col3 char,
col4 text,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY LIST(col2)(partition partone VALUES('abcdefghijklmnop') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo VALUES('qrstuvwxyz') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree VALUES('ghi'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_text VALUES('abcdefghijklmnop','abcdefghijklmnop','a','abcdefghijklmnop',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_text DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_text ADD PARTITION partfour VALUES('xyz');
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_text SELECT 'xyz','b','xyz', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_text ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_text SET col4 = 'qrstuvwxyz' WHERE col2 = 'xyz' AND col4 = 'xyz';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_text ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_text SET col2 = 'qrstuvwxyz' WHERE col2 = 'xyz' AND col4 = 'qrstuvwxyz';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_text ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_text WHERE col2 = 'qrstuvwxyz';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_text ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_time;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_time
(
col1 time,
col2 time,
col3 char,
col4 time,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('12:00:00') end('18:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('18:00:00') end('24:00:00') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('0:00:00') end('11:00:00'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_time VALUES('12:00:00','12:00:00','a','12:00:00',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_time DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_time ADD PARTITION partfour start('11:00:00') end('12:00:00');
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_time SELECT '11:30:00','b','11:30:00', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_time ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_time SET col4 = '1:00:00' WHERE col2 = '11:30:00' AND col4 = '11:30:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_time ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_time SET col2 = '1:00:00' WHERE col2 = '11:30:00' AND col4 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_time ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_time WHERE col2 = '1:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_time ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_timestamp;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_timestamp
(
col1 timestamp,
col2 timestamp,
col3 char,
col4 timestamp,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00') end('2013-12-31 12:00:00') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00') end('2014-01-01 12:00:00') inclusive WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-02 12:00:00') end('2014-02-01 12:00:00'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_timestamp VALUES('2013-12-31 12:00:00','2013-12-31 12:00:00','a','2013-12-31 12:00:00',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_timestamp DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_timestamp ADD PARTITION partfour start('2014-02-01 12:00:00') end('2014-03-01 12:00:00') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_timestamp SELECT '2014-02-10 12:00:00','b','2014-02-10 12:00:00', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamp ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_timestamp SET col4 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col4 = '2014-02-10 12:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamp ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_timestamp SET col2 = '2014-01-01 12:00:00' WHERE col2 = '2014-02-10 12:00:00' AND col4 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamp ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_timestamp WHERE col2 = '2014-01-01 12:00:00';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamp ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_dropfirstcol_addpt_timestamptz;
CREATE TABLE mpp21090_pttab_dropfirstcol_addpt_timestamptz
(
col1 timestamptz,
col2 timestamptz,
col3 char,
col4 timestamptz,
col5 int
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01 12:00:00 PST') end('2013-12-31 12:00:00 PST') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31 12:00:00 PST') end('2014-01-01 12:00:00 PST') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01 12:00:00 PST') end('2014-02-01 12:00:00 PST'));
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_timestamptz VALUES('2013-12-31 12:00:00 PST','2013-12-31 12:00:00 PST','a','2013-12-31 12:00:00 PST',0);
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_timestamptz DROP COLUMN col1;
ALTER TABLE mpp21090_pttab_dropfirstcol_addpt_timestamptz ADD PARTITION partfour start('2014-02-01 12:00:00 PST') end('2014-03-01 12:00:00 PST') inclusive;
INSERT INTO mpp21090_pttab_dropfirstcol_addpt_timestamptz SELECT '2014-02-10 12:00:00 PST','b','2014-02-10 12:00:00 PST', 1;
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamptz ORDER BY 1,2,3;
UPDATE mpp21090_pttab_dropfirstcol_addpt_timestamptz SET col4 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col4 = '2014-02-10 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamptz ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_dropfirstcol_addpt_timestamptz SET col2 = '2014-01-01 12:00:00 PST' WHERE col2 = '2014-02-10 12:00:00 PST' AND col4 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamptz ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_dropfirstcol_addpt_timestamptz WHERE col2 = '2014-01-01 12:00:00 PST';
SELECT * FROM mpp21090_pttab_dropfirstcol_addpt_timestamptz ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_droplastcol_addpt_char;
CREATE TABLE mpp21090_pttab_droplastcol_addpt_char
(
col1 char,
col2 char,
col3 char,
col4 int,
col5 char
)
DISTRIBUTED by (col1)
PARTITION BY LIST(col2)(partition partone VALUES('a','b','c','d','e','f','g','h') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo VALUES('i','j','k','l','m','n','o','p') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree VALUES('q','r','s','t','u','v','w','x'));
INSERT INTO mpp21090_pttab_droplastcol_addpt_char VALUES('x','x','a',0,'x');
ALTER TABLE mpp21090_pttab_droplastcol_addpt_char DROP COLUMN col5;
ALTER TABLE mpp21090_pttab_droplastcol_addpt_char ADD PARTITION partfour VALUES('y','z','-');
INSERT INTO mpp21090_pttab_droplastcol_addpt_char SELECT 'z','z','b',1;
SELECT * FROM mpp21090_pttab_droplastcol_addpt_char ORDER BY 1,2,3;
-- Update distribution key
UPDATE mpp21090_pttab_droplastcol_addpt_char SET col1 = '-' WHERE col2 = 'z' AND col1 = 'z';
SELECT * FROM mpp21090_pttab_droplastcol_addpt_char ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_droplastcol_addpt_char SET col2 = '-' WHERE col2 = 'z' AND col1 = '-';
SELECT * FROM mpp21090_pttab_droplastcol_addpt_char ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_droplastcol_addpt_char WHERE col2 = '-';
SELECT * FROM mpp21090_pttab_droplastcol_addpt_char ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_droplastcol_addpt_date;
CREATE TABLE mpp21090_pttab_droplastcol_addpt_date
(
col1 date,
col2 date,
col3 char,
col4 int,
col5 date
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start('2013-12-01') end('2013-12-31') WITH(APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start('2013-12-31') end('2014-01-01') WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start('2014-01-01') end('2014-02-01'));
INSERT INTO mpp21090_pttab_droplastcol_addpt_date VALUES('2013-12-31','2013-12-31','a',0,'2013-12-31');
ALTER TABLE mpp21090_pttab_droplastcol_addpt_date DROP COLUMN col5;
ALTER TABLE mpp21090_pttab_droplastcol_addpt_date ADD PARTITION partfour start('2014-02-01') end('2014-03-01') inclusive;
INSERT INTO mpp21090_pttab_droplastcol_addpt_date SELECT '2014-02-10','2014-02-10','b',1;
SELECT * FROM mpp21090_pttab_droplastcol_addpt_date ORDER BY 1,2,3;
-- Update distribution key
UPDATE mpp21090_pttab_droplastcol_addpt_date SET col1 = '2014-01-01' WHERE col2 = '2014-02-10' AND col1 = '2014-02-10';
SELECT * FROM mpp21090_pttab_droplastcol_addpt_date ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_droplastcol_addpt_date SET col2 = '2014-01-01' WHERE col2 = '2014-02-10' AND col1 = '2014-01-01';
SELECT * FROM mpp21090_pttab_droplastcol_addpt_date ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_droplastcol_addpt_date WHERE col2 = '2014-01-01';
SELECT * FROM mpp21090_pttab_droplastcol_addpt_date ORDER BY 1,2,3;
-- @author prabhd
-- @created 2014-04-01 12:00:00
-- @modified 2012-04-01 12:00:00
-- @tags dml MPP-21090 ORCA
-- @optimizer_mode on
-- @description Tests for MPP-21090
\echo --start_ignore
\echo --end_ignore
DROP TABLE IF EXISTS mpp21090_pttab_droplastcol_addpt_decimal;
CREATE TABLE mpp21090_pttab_droplastcol_addpt_decimal
(
col1 decimal,
col2 decimal,
col3 char,
col4 int,
col5 decimal
)
DISTRIBUTED by (col1)
PARTITION BY RANGE(col2)(partition partone start(1.00) end(10.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=column),partition parttwo start(10.00) end(20.00) WITH (APPENDONLY=true, COMPRESSLEVEL=5, ORIENTATION=row),partition partthree start(20.00) end(30.00));
INSERT INTO mpp21090_pttab_droplastcol_addpt_decimal VALUES(2.00,2.00,'a',0,2.00);
ALTER TABLE mpp21090_pttab_droplastcol_addpt_decimal DROP COLUMN col5;
ALTER TABLE mpp21090_pttab_droplastcol_addpt_decimal ADD PARTITION partfour start(30.00) end(40.00) inclusive;
INSERT INTO mpp21090_pttab_droplastcol_addpt_decimal SELECT 35.00,35.00,'b',1;
SELECT * FROM mpp21090_pttab_droplastcol_addpt_decimal ORDER BY 1,2,3;
-- Update distribution key
UPDATE mpp21090_pttab_droplastcol_addpt_decimal SET col1 = 1.00 WHERE col2 = 35.00 AND col1 = 35.00;
SELECT * FROM mpp21090_pttab_droplastcol_addpt_decimal ORDER BY 1,2,3;
-- Update partition key
UPDATE mpp21090_pttab_droplastcol_addpt_decimal SET col2 = 1.00 WHERE col2 = 35.00 AND col1 = 1.00;
SELECT * FROM mpp21090_pttab_droplastcol_addpt_decimal ORDER BY 1,2,3;
DELETE FROM mpp21090_pttab_droplastcol_addpt_decimal WHERE col2 = 1.00;
SELECT * FROM mpp21090_pttab_droplastcol_addpt_decimal ORDER BY 1,2,3;
-- start_ignore
drop schema sql_partition_401_450 cascade;
-- end_ignore
|
CREATE TABLE IF NOT EXISTS `xzqb_user_twitter` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`site_id` int(11) NOT NULL,
`reg_time` int(11) NOT NULL DEFAULT '0',
`mod_time` int(11) NOT NULL DEFAULT '0',
`reg_user` int(11) NOT NULL DEFAULT '0',
`mod_user` int(11) NOT NULL DEFAULT '0',
`user_id` int(11) NOT NULL,
`access_token` varchar(64) NOT NULL,
`access_token_secret` varchar(64) NOT NULL,
`twitter_id` bigint(20) NOT NULL,
`screen_name` varchar(64) NOT NULL,
PRIMARY KEY (`id`),
KEY `site_id` (`site_id`),
KEY `user_id` (`user_id`),
KEY `twitter_id` (`twitter_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ;
|
DROP TABLE m_user;
DROP SEQUENCE IF EXISTS m_user_seq;
DROP INDEX IF EXISTS m_user_deleted_at;
|
INSERT INTO `categories` (`categories_id`, `categories_image`, `categories_icon`, `parent_id`, `sort_order`, `date_added`, `last_modified`, `categories_slug`, `categories_status`, `created_at`, `updated_at`) VALUES ('-1', '120', '120', '0', NULL, NULL, NULL, 'uncategorized', '1', NULL, NULL);
INSERT INTO `categories_description` (`categories_description_id`, `categories_id`, `language_id`, `categories_name`, `categories_description`) VALUES (NULL, '-1', '1', 'uncategorized', 'uncategorized'), (NULL, '-1', '2', 'uncategorized', 'uncategorized');
ALTER TABLE `products` CHANGE `products_weight` `products_weight` VARCHAR(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NULL DEFAULT NULL;
|
CREATE OR REPLACE FUNCTION prj.CzyKierunekNaWydziale(nazwa_kierunku VARCHAR(64), id_w INTEGER)
RETURNS BOOLEAN AS
$$
BEGIN
RETURN (SELECT EXISTS
(SELECT *
FROM prj.wydzial_kierunek
JOIN prj.kierunek KI USING (id_kierunek)
WHERE nazwa_kierunku = ki.nazwa
AND id_w = id_wydzial));
END
$$
LANGUAGE 'plpgsql';
CREATE OR REPLACE FUNCTION prj.WydzialBezKierunku (nazwa_k VARCHAR(64))
RETURNS TABLE (id_wydzial INTEGER, nazwa VARCHAR, skrot_nazwy VARCHAR) AS
$$
BEGIN
RETURN QUERY
SELECT wy.id_wydzial, wy.nazwa, wy.skrot_nazwy
FROM prj.wydzial WY
WHERE (SELECT * FROM prj.CzyKierunekNaWydziale(nazwa_k, wy.id_wydzial)) = False
ORDER BY 1;
END
$$
LANGUAGE 'plpgsql';
|
-- We need an existing table in the database to test the creation of the
-- Flyway history table with the correct baseline version set.
CREATE TABLE IF NOT EXISTS fake_existing_tbl;
|
-- file:create_index.sql ln:314 expect:true
SELECT * FROM point_tbl WHERE f1 IS NULL
|
-- @testpoint:openGauss关键字Including(非保留),作为列名带双引号，Including大小写混合，建表成功
drop table if exists Explain_test;
create table Explain_test(
c_id int, c_int int, c_integer integer, c_bool int, c_boolean int, c_bigint integer,
c_real real, c_double real,
c_decimal decimal(38), c_number number(38), c_numeric numeric(38),
c_char char(50) default null, c_varchar varchar(20), c_varchar2 varchar2(4000),
c_date date, c_datetime date, c_timestamp timestamp,
"Including" char(50)
)
PARTITION BY RANGE (c_integer)
(
partition P_20180121 values less than (0),
partition P_20190122 values less than (50000),
partition P_20200123 values less than (100000),
partition P_max values less than (maxvalue)
);
select * from Explain_test;
drop table Explain_test;
--openGauss关键字Including(非保留),作为列名带双引号，Including大小写匹配，建表成功
drop table if exists Explain_test;
create table Explain_test(
c_id int, c_int int, c_integer integer, c_bool int, c_boolean int, c_bigint integer,
c_real real, c_double real,
c_decimal decimal(38), c_number number(38), c_numeric numeric(38),
c_char char(50) default null, c_varchar varchar(20), c_varchar2 varchar2(4000),
c_date date, c_datetime date, c_timestamp timestamp,
"Including" char(50)
)
PARTITION BY RANGE (c_integer)
(
partition P_20180121 values less than (0),
partition P_20190122 values less than (50000),
partition P_20200123 values less than (100000),
partition P_max values less than (maxvalue)
);
select * from Explain_test;
drop table Explain_test;
|
CREATE DATABASE photos;
BEGIN;
CREATE USER photo WITH
LOGIN
SUPERUSER
INHERIT
NOCREATEDB
CREATEROLE
NOREPLICATION
PASSWORD 'password';
ALTER ROLE photo SET client_encoding TO 'utf8';
ALTER ROLE photo SET default_transaction_isolation TO 'read committed';
ALTER ROLE photo SET timezone TO 'UTC';
GRANT ALL PRIVILEGES ON DATABASE photos TO photo;
CREATE ROLE administrators;
CREATE ROLE authenticated;
CREATE ROLE unauthenticated;
CREATE ROLE anonymous;
GRANT authenticated, unauthenticated TO administrators;
GRANT unauthenticated TO anonymous;
GRANT SELECT ON pg_authid TO PUBLIC;
COMMIT;
|
-- ***************************************************************************
-- File: 2_50.sql
--
-- Developed By TUSC
--
-- Disclaimer: Neither Osborne/McGraw-Hill, TUSC, nor the author warrant
-- that this source code is error-free. If any errors are
-- found in this source code, please report them to TUSC at
-- (630)960-2909 ext 1011 or trezzoj@tusc.com.
-- ***************************************************************************
SPOOL 2_50.lis
-- Displays the literal text 'LOGIN Execution' to the screen
PROMPT LOGIN Execution
-- Changes the default SQL*Plus editor
DEFINE_EDITOR=c:\pfe\pfe32.exe
-- Changes the default Oracle DATE display
ALTER SESSION SET nls_date_format='mm/dd/yyyy';
-- Changes the default temporary file to edit
SET EDITFILE "PLUSTEMP.SQL"
-- Sets feedback to display the number of records returned if > 1
SET FEEDBACK 1
-- Sets the size of the page to 23, which will only display the
-- title and column headers every 23 records of output
set pagesize 23
-- Sets pause on, so scrolling will pause every page
set pause ON
-- Sets the pause message to say 'More...'
set pause "More..."
-- Enables DBMS_OUTPUT so all DBMS_OUTPUT.PUT_LINE statements will
-- display in SQL*Plus (the buffer is set to the maximum and
-- wrapping will not break words)
set serveroutput ON size 1000000 format WORD_WRAPPED
-- Sets timing on, so every SQL statement executed returns a timing
set timing ON
SPOOL OFF
|
INSERT INTO ProjectLearner (employeeId, projectId, isInvitation, isAccepted) VALUES
(1001 , 10001 ,'true' ,'false') ,
(1002 , 10002 ,'false' ,'false') ,
(1003 , 10003 ,'true' ,'false') ,
(1004 , 10004 ,'false' ,'false') ,
(1005 , 10005 ,'true' ,'false') ,
(1006 , 10006 ,'false' ,'true') ,
(1007 , 10007 ,'true' ,'false') ,
(1008 , 10008 ,'false' ,'true') ,
(1009 , 10009 ,'false' ,'true') ,
(1010 , 10010 ,'true' ,'false') ;
--1001 employee ID starts
--10001 PRoject ID starts
|
-- PAGES
UPDATE `sys_objects_page` SET `layout_id`='12' WHERE `object`='bx_videos_view_entry' AND `layout_id`='10';
UPDATE `sys_pages_blocks` SET `cell_id`='2', `active`='0' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_video' AND `cell_id`='1';
UPDATE `sys_pages_blocks` SET `cell_id`='2' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_text' AND `cell_id`='1';
UPDATE `sys_pages_blocks` SET `order`='3' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_author' AND `order`='0';
UPDATE `sys_pages_blocks` SET `cell_id`='3' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_context' AND `cell_id`='2';
UPDATE `sys_pages_blocks` SET `order`='2' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_info' AND `order`='1';
UPDATE `sys_pages_blocks` SET `cell_id`='2', `order`='2' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_all_actions' AND `cell_id`='4' AND `order`='0';
UPDATE `sys_pages_blocks` SET `cell_id`='2' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_comments' AND `cell_id`='4';
UPDATE `sys_pages_blocks` SET `cell_id`='3', `order`='3' WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_entry_location' AND `cell_id`='4' AND `order`='5';
UPDATE `sys_pages_blocks` SET `active`='0', `order`='0' WHERE `object`='bx_videos_view_entry' AND `title` IN ('_bx_videos_page_block_title_entry_rating', '_bx_videos_page_block_title_entry_actions', '_bx_videos_page_block_title_entry_social_sharing', '_bx_videos_page_block_title_entry_attachments');
DELETE FROM `sys_pages_blocks` WHERE `object`='bx_videos_view_entry' AND `title`='_bx_videos_page_block_title_featured_entries_view_extended';
INSERT INTO `sys_pages_blocks`(`object`, `cell_id`, `module`, `title_system`, `title`, `designbox_id`, `visible_for_levels`, `type`, `content`, `deletable`, `copyable`, `active`, `order`) VALUES
('bx_videos_view_entry', 3, 'bx_videos', '', '_bx_videos_page_block_title_featured_entries_view_extended', 11, 2147483647, 'service', 'a:3:{s:6:"module";s:9:"bx_videos";s:6:"method";s:15:"browse_featured";s:6:"params";a:1:{i:0;s:8:"extended";}}', 0, 0, 1, 4);
UPDATE `sys_pages_blocks` SET `content`='a:3:{s:6:\"module\";s:9:\"bx_videos\";s:6:\"method\";s:14:\"browse_popular\";s:6:\"params\";a:3:{s:9:\"unit_view\";s:8:\"showcase\";s:13:\"empty_message\";b:0;s:13:\"ajax_paginate\";b:0;}}' WHERE `module`='bx_videos' AND `title`='_bx_videos_page_block_title_popular_entries_view_showcase';
-- MENUS
DELETE FROM `sys_objects_menu` WHERE `object`='bx_videos_view_actions';
INSERT INTO `sys_objects_menu`(`object`, `title`, `set_name`, `module`, `template_id`, `deletable`, `active`, `override_class_name`, `override_class_file`) VALUES
('bx_videos_view_actions', '_sys_menu_title_view_actions', 'bx_videos_view_actions', 'bx_videos', 15, 0, 1, 'BxVideosMenuViewActions', 'modules/boonex/videos/classes/BxVideosMenuViewActions.php');
DELETE FROM `sys_menu_sets` WHERE `set_name`='bx_videos_view_actions';
INSERT INTO `sys_menu_sets`(`set_name`, `module`, `title`, `deletable`) VALUES
('bx_videos_view_actions', 'bx_videos', '_sys_menu_set_title_view_actions', 0);
DELETE FROM `sys_menu_items` WHERE `set_name`='bx_videos_view_actions';
INSERT INTO `sys_menu_items`(`set_name`, `module`, `name`, `title_system`, `title`, `link`, `onclick`, `target`, `icon`, `addon`, `submenu_object`, `submenu_popup`, `visible_for_levels`, `active`, `copyable`, `order`) VALUES
('bx_videos_view_actions', 'bx_videos', 'edit-video', '_bx_videos_menu_item_title_system_edit_entry', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 10),
('bx_videos_view_actions', 'bx_videos', 'delete-video', '_bx_videos_menu_item_title_system_delete_entry', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 20),
('bx_videos_view_actions', 'bx_videos', 'comment', '_sys_menu_item_title_system_va_comment', '', '', '', '', '', '', '', 0, 2147483647, 0, 0, 200),
('bx_videos_view_actions', 'bx_videos', 'view', '_sys_menu_item_title_system_va_view', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 210),
('bx_videos_view_actions', 'bx_videos', 'vote', '_sys_menu_item_title_system_va_vote', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 220),
('bx_videos_view_actions', 'bx_videos', 'score', '_sys_menu_item_title_system_va_score', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 230),
('bx_videos_view_actions', 'bx_videos', 'favorite', '_sys_menu_item_title_system_va_favorite', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 240),
('bx_videos_view_actions', 'bx_videos', 'feature', '_sys_menu_item_title_system_va_feature', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 250),
('bx_videos_view_actions', 'bx_videos', 'repost', '_sys_menu_item_title_system_va_repost', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 260),
('bx_videos_view_actions', 'bx_videos', 'report', '_sys_menu_item_title_system_va_report', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 270),
('bx_videos_view_actions', 'bx_videos', 'social-sharing-facebook', '_sys_menu_item_title_system_social_sharing_facebook', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 300),
('bx_videos_view_actions', 'bx_videos', 'social-sharing-googleplus', '_sys_menu_item_title_system_social_sharing_googleplus', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 310),
('bx_videos_view_actions', 'bx_videos', 'social-sharing-twitter', '_sys_menu_item_title_system_social_sharing_twitter', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 320),
('bx_videos_view_actions', 'bx_videos', 'social-sharing-pinterest', '_sys_menu_item_title_system_social_sharing_pinterest', '', '', '', '', '', '', '', 0, 2147483647, 1, 0, 330),
('bx_videos_view_actions', 'bx_videos', 'more-auto', '_sys_menu_item_title_system_va_more_auto', '_sys_menu_item_title_va_more_auto', 'javascript:void(0)', '', '', 'ellipsis-v', '', '', 0, 2147483647, 1, 0, 9999);
|
SET @sName = 'bx_lucid';
-- SETTINGS
SET @iSystemCategoryId = (SELECT `id` FROM `sys_options_categories` WHERE `name`='system' LIMIT 1);
SET @iSystemCategoryOrder = (SELECT IFNULL(MAX(`order`), 0) FROM `sys_options` WHERE `category_id`=@iSystemCategoryId LIMIT 1);
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iSystemCategoryId, CONCAT(@sName, '_site_logo_aspect_ratio'), '', '', 'digit', '', '', '', @iSystemCategoryOrder + 1);
INSERT INTO `sys_options_types`(`group`, `name`, `caption`, `icon`, `order`) VALUES
('templates', @sName, '_bx_lucid_stg_cpt_type', 'bx_lucid@modules/boonex/lucid/|std-icon.svg', 2);
SET @iTypeId = LAST_INSERT_ID();
-- SETTINGS: Lucid template System
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_system'), '_bx_lucid_stg_cpt_category_system', 10);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_switcher_title'), '_bx_lucid_stg_cpt_option_switcher_name', 'Lucid', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_default_mix'), '_bx_lucid_stg_cpt_option_default_mix', '', 'select', 'a:2:{s:6:"module";s:8:"bx_lucid";s:6:"method";s:23:"get_options_default_mix";}', '', '', 10);
-- SETTINGS: Lucid template Styles General
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_general'), '_bx_lucid_stg_cpt_category_styles_general', 20);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_general_item_bg_color_hover'), '_bx_lucid_stg_cpt_option_general_item_bg_color_hover', 'rgba(210, 230, 250, 0.2)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_general_item_bg_color_active'), '_bx_lucid_stg_cpt_option_general_item_bg_color_active', 'rgba(210, 230, 250, 0.4)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_general_item_bg_color_disabled'), '_bx_lucid_stg_cpt_option_general_item_bg_color_disabled', 'rgba(221, 221, 221, 1.0)', 'rgba', '', '', '', 3);
-- SETTINGS: Lucid template Styles Header
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_header'), '_bx_lucid_stg_cpt_category_styles_header', 30);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_header_height'), '_bx_lucid_stg_cpt_option_header_height', '3.5rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_header_content_padding'), '_bx_lucid_stg_cpt_option_header_content_padding', '0px', 'digit', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_header_bg_color'), '_bx_lucid_stg_cpt_option_header_bg_color', 'rgba(76, 103, 159, 1.0)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_header_bg_image'), '_bx_lucid_stg_cpt_option_header_bg_image', '', 'image', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_header_bg_image_repeat'), '_bx_lucid_stg_cpt_option_header_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_header_bg_image_size'), '_bx_lucid_stg_cpt_option_header_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_site_logo'), '_bx_lucid_stg_cpt_option_site_logo', '', 'image', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_site_logo_alt'), '_bx_lucid_stg_cpt_option_site_logo_alt', '', 'text', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_header_border_color'), '_bx_lucid_stg_cpt_option_header_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_header_border_size'), '_bx_lucid_stg_cpt_option_header_border_size', '1px', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_header_shadow'), '_bx_lucid_stg_cpt_option_header_shadow', 'none', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_header_icon_color'), '_bx_lucid_stg_cpt_option_header_icon_color', 'rgba(255, 255, 255, 0.8)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_header_icon_color_hover'), '_bx_lucid_stg_cpt_option_header_icon_color_hover', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_header_link_color'), '_bx_lucid_stg_cpt_option_header_link_color', 'rgba(215, 235, 255, 1)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_header_link_color_hover'), '_bx_lucid_stg_cpt_option_header_link_color_hover', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 15);
-- SETTINGS: Lucid template Styles Footer
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_footer'), '_bx_lucid_stg_cpt_category_styles_footer', 40);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_footer_bg_color'), '_bx_lucid_stg_cpt_option_footer_bg_color', 'rgba(40, 60, 80, 0.0)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_footer_bg_image'), '_bx_lucid_stg_cpt_option_footer_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_footer_bg_image_repeat'), '_bx_lucid_stg_cpt_option_footer_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_footer_bg_image_size'), '_bx_lucid_stg_cpt_option_footer_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_footer_content_padding'), '_bx_lucid_stg_cpt_option_footer_content_padding', '1rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_footer_border_color'), '_bx_lucid_stg_cpt_option_footer_border_color', 'rgba(40, 60, 80, 0.1)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_footer_border_size'), '_bx_lucid_stg_cpt_option_footer_border_size', '1px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_footer_shadow'), '_bx_lucid_stg_cpt_option_footer_shadow', 'none', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_footer_font_color'), '_bx_lucid_stg_cpt_option_footer_font_color', 'rgba(40, 60, 80, 1)', 'rgba', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_footer_icon_color'), '_bx_lucid_stg_cpt_option_footer_icon_color', 'rgba(30, 140, 240, 1)', 'rgba', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_footer_icon_color_hover'), '_bx_lucid_stg_cpt_option_footer_icon_color_hover', 'rgba(10, 120, 220, 1)', 'rgba', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_footer_link_color'), '_bx_lucid_stg_cpt_option_footer_link_color', 'rgba(30, 140, 240, 1)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_footer_link_color_hover'), '_bx_lucid_stg_cpt_option_footer_link_color_hover', 'rgba(10, 120, 220, 1)', 'rgba', '', '', '', 13);
-- SETTINGS: Lucid template Styles Body
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_body'), '_bx_lucid_stg_cpt_category_styles_body', 50);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_body_bg_color'), '_bx_lucid_stg_cpt_option_body_bg_color', 'rgb(230, 240, 250)', 'rgb', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_body_bg_image'), '_bx_lucid_stg_cpt_option_body_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_body_bg_image_repeat'), '_bx_lucid_stg_cpt_option_body_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_body_bg_image_size'), '_bx_lucid_stg_cpt_option_body_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_page_width'), '_bx_lucid_stg_cpt_option_page_width', '1280', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_body_icon_color'), '_bx_lucid_stg_cpt_option_body_icon_color', 'rgba(30, 150, 250, 0.9)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_body_icon_color_hover'), '_bx_lucid_stg_cpt_option_body_icon_color_hover', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_body_link_color'), '_bx_lucid_stg_cpt_option_body_link_color', 'rgba(30, 150, 250, 0.9)', 'rgba', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_body_link_color_hover'), '_bx_lucid_stg_cpt_option_body_link_color_hover', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 9);
-- SETTINGS: Lucid template Styles Cover
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_cover'), '_bx_lucid_stg_cpt_category_styles_cover', 55);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_cover_height'), '_bx_lucid_stg_cpt_option_cover_height', '30vh', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_cover_bg_color'), '_bx_lucid_stg_cpt_option_cover_bg_color', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_cover_content_padding'), '_bx_lucid_stg_cpt_option_cover_content_padding', '2rem 3rem 2rem 3rem', 'digit', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_cover_border_color'), '_bx_lucid_stg_cpt_option_cover_border_color', 'rgba(208, 208, 208, 0)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_cover_border_size'), '_bx_lucid_stg_cpt_option_cover_border_size', '0px', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_cover_border_radius'), '_bx_lucid_stg_cpt_option_cover_border_radius', '0px', 'digit', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_cover_shadow'), '_bx_lucid_stg_cpt_option_cover_shadow', 'none', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_cover_icon_border_color'), '_bx_lucid_stg_cpt_option_cover_icon_border_color', 'rgba(208, 208, 208, 1)', 'rgba', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_cover_icon_border_size'), '_bx_lucid_stg_cpt_option_cover_icon_border_size', '1px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_cover_icon_border_radius'), '_bx_lucid_stg_cpt_option_cover_icon_border_radius', '3px', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_cover_icon_shadow'), '_bx_lucid_stg_cpt_option_cover_icon_shadow', 'none', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_cover_text_align'), '_bx_lucid_stg_cpt_option_cover_text_align', 'center', 'select', 'left,center,right', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_cover_text_shadow'), '_bx_lucid_stg_cpt_option_cover_text_shadow', '0px 1px 3px rgba(0, 0, 0, .3)', 'digit', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_cover_font_family'), '_bx_lucid_stg_cpt_option_cover_font_family', 'Arial, sans-serif', 'digit', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_cover_font_size'), '_bx_lucid_stg_cpt_option_cover_font_size', '2.0rem', 'digit', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_cover_font_color'), '_bx_lucid_stg_cpt_option_cover_font_color', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_cover_font_weight'), '_bx_lucid_stg_cpt_option_cover_font_weight', '700', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Block
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_block'), '_bx_lucid_stg_cpt_category_styles_block', 60);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_block_bg_color'), '_bx_lucid_stg_cpt_option_block_bg_color', 'rgba(245, 250, 255, 0.9)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_block_bg_image'), '_bx_lucid_stg_cpt_option_block_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_block_bg_image_repeat'), '_bx_lucid_stg_cpt_option_block_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_block_bg_image_size'), '_bx_lucid_stg_cpt_option_block_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_block_content_padding'), '_bx_lucid_stg_cpt_option_block_content_padding', '1rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_block_border_color'), '_bx_lucid_stg_cpt_option_block_border_color', 'rgba(0, 0, 0, 0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_block_border_size'), '_bx_lucid_stg_cpt_option_block_border_size', '0px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_block_border_radius'), '_bx_lucid_stg_cpt_option_block_border_radius', '3px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_block_shadow'), '_bx_lucid_stg_cpt_option_block_shadow', '0px 1px 2px 0px rgba(0, 0, 0, 0.05)', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_block_title_bg_color'), '_bx_lucid_stg_cpt_option_block_title_bg_color', 'rgba(255, 255, 255, 0)', 'rgba', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_block_title_padding'), '_bx_lucid_stg_cpt_option_block_title_padding', '0.75rem 1.0rem 0.75rem 1.0rem', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_block_title_border_color'), '_bx_lucid_stg_cpt_option_block_title_border_color', 'rgba(0, 0, 0, 0)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_block_title_border_size'), '_bx_lucid_stg_cpt_option_block_title_border_size', '0px', 'digit', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_block_title_border_radius'), '_bx_lucid_stg_cpt_option_block_title_border_radius', '0px', 'digit', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_block_title_font_family'), '_bx_lucid_stg_cpt_option_block_title_font_family', 'Arial, sans-serif', 'digit', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_block_title_font_size'), '_bx_lucid_stg_cpt_option_block_title_font_size', '1rem', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_block_title_font_color'), '_bx_lucid_stg_cpt_option_block_title_font_color', 'rgba(40, 50, 60, 0.8)', 'rgba', '', '', '', 17),
(@iCategoryId, CONCAT(@sName, '_block_title_font_weight'), '_bx_lucid_stg_cpt_option_block_title_font_weight', '700', 'digit', '', '', '', 18),
(@iCategoryId, CONCAT(@sName, '_block_title_div_height'), '_bx_lucid_stg_cpt_option_block_title_div_height', '0px', 'digit', '', '', '', 19),
(@iCategoryId, CONCAT(@sName, '_block_title_div_bg_color'), '_bx_lucid_stg_cpt_option_block_title_div_bg_color', 'rgba(40, 60, 80, 0)', 'rgba', '', '', '', 20);
-- SETTINGS: Lucid template Styles Card
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_card'), '_bx_lucid_stg_cpt_category_styles_card', 70);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_card_bg_color'), '_bx_lucid_stg_cpt_option_card_bg_color', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_card_bg_color_hover'), '_bx_lucid_stg_cpt_option_card_bg_color_hover', 'rgba(255, 255, 255, 0.5)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_card_bg_image'), '_bx_lucid_stg_cpt_option_card_bg_image', '', 'image', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_card_bg_image_repeat'), '_bx_lucid_stg_cpt_option_card_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_card_bg_image_attachment'), '_bx_lucid_stg_cpt_option_card_bg_image_attachment', 'scroll', 'select', 'fixed,scroll,local', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_card_bg_image_size'), '_bx_lucid_stg_cpt_option_card_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_card_content_padding'), '_bx_lucid_stg_cpt_option_card_content_padding', '1rem', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_card_border_color'), '_bx_lucid_stg_cpt_option_card_border_color', 'rgba(0, 0, 0, 0.1)', 'rgba', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_card_border_size'), '_bx_lucid_stg_cpt_option_card_border_size', '1px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_card_border_radius'), '_bx_lucid_stg_cpt_option_card_border_radius', '3px', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_card_shadow'), '_bx_lucid_stg_cpt_option_card_shadow', '0px 1px 3px 0px rgba(0, 0, 0, 0.05)', 'digit', '', '', '', 11);
-- SETTINGS: Lucid template Styles Popups
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_popup'), '_bx_lucid_stg_cpt_category_styles_popup', 80);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_popup_bg_color'), '_bx_lucid_stg_cpt_option_popup_bg_color', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_popup_bg_image'), '_bx_lucid_stg_cpt_option_popup_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_popup_bg_image_repeat'), '_bx_lucid_stg_cpt_option_popup_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_popup_bg_image_size'), '_bx_lucid_stg_cpt_option_popup_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_popup_content_padding'), '_bx_lucid_stg_cpt_option_popup_content_padding', '1.25rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_popup_border_color'), '_bx_lucid_stg_cpt_option_popup_border_color', 'rgba(0, 0, 0, 0.2)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_popup_border_size'), '_bx_lucid_stg_cpt_option_popup_border_size', '1px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_popup_border_radius'), '_bx_lucid_stg_cpt_option_popup_border_radius', '3px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_popup_shadow'), '_bx_lucid_stg_cpt_option_popup_shadow', '0px 1px 5px 0px rgba(0, 0, 0, 0.05)', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_popup_title_bg_color'), '_bx_lucid_stg_cpt_option_popup_title_bg_color', 'rgba(230, 240, 250, 0.9)', 'rgba', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_popup_title_padding'), '_bx_lucid_stg_cpt_option_popup_title_padding', '1.25rem', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_popup_title_font_family'), '_bx_lucid_stg_cpt_option_popup_title_font_family', 'Arial, sans-serif', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_popup_title_font_size'), '_bx_lucid_stg_cpt_option_popup_title_font_size', '1rem', 'digit', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_popup_title_font_color'), '_bx_lucid_stg_cpt_option_popup_title_font_color', 'rgba(40, 50, 60, 0.9)', 'rgba', '', '', '', 14);
-- SETTINGS: Lucid template Styles Main Menu
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_menu_main'), '_bx_lucid_stg_cpt_category_styles_menu_main', 90);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_menu_main_bg_color'), '_bx_lucid_stg_cpt_option_menu_main_bg_color', 'rgba(248, 249, 252, 1.0)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_menu_main_bg_image'), '_bx_lucid_stg_cpt_option_menu_main_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_menu_main_bg_image_repeat'), '_bx_lucid_stg_cpt_option_menu_main_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_menu_main_bg_image_size'), '_bx_lucid_stg_cpt_option_menu_main_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_menu_main_content_padding'), '_bx_lucid_stg_cpt_option_menu_main_content_padding', '0px', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_menu_main_border_color'), '_bx_lucid_stg_cpt_option_menu_main_border_color', 'rgba(0, 0, 0, 0.1)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_menu_main_border_size'), '_bx_lucid_stg_cpt_option_menu_main_border_size', '0px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_menu_main_shadow'), '_bx_lucid_stg_cpt_option_menu_main_shadow', 'none', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_menu_main_align_items'), '_bx_lucid_stg_cpt_option_menu_main_align_items', 'left', 'select', 'left,center,right', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_family'), '_bx_lucid_stg_cpt_option_menu_main_font_family', 'Arial, sans-serif', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_size'), '_bx_lucid_stg_cpt_option_menu_main_font_size', '1rem', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_color'), '_bx_lucid_stg_cpt_option_menu_main_font_color', 'rgba(255, 255, 255, 0.8)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_color_hover'), '_bx_lucid_stg_cpt_option_menu_main_font_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_color_active'), '_bx_lucid_stg_cpt_option_menu_main_font_color_active', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_shadow'), '_bx_lucid_stg_cpt_option_menu_main_font_shadow', 'none', 'digit', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_menu_main_font_weight'), '_bx_lucid_stg_cpt_option_menu_main_font_weight', '400', 'digit', '', '', '', 16);
-- SETTINGS: Lucid template Styles Account Menu
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_menu_account'), '_bx_lucid_stg_cpt_category_styles_menu_account', 95);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_menu_account_bg_color'), '_bx_lucid_stg_cpt_option_menu_account_bg_color', 'rgba(248, 249, 252, 1.0)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_menu_account_bg_image'), '_bx_lucid_stg_cpt_option_menu_account_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_menu_account_bg_image_repeat'), '_bx_lucid_stg_cpt_option_menu_account_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_menu_account_bg_image_size'), '_bx_lucid_stg_cpt_option_menu_account_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_menu_account_content_padding'), '_bx_lucid_stg_cpt_option_menu_account_content_padding', '1.25rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_menu_account_border_color'), '_bx_lucid_stg_cpt_option_menu_account_border_color', 'rgba(0, 0, 0, 0.1)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_menu_account_border_size'), '_bx_lucid_stg_cpt_option_menu_account_border_size', '0px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_menu_account_shadow'), '_bx_lucid_stg_cpt_option_menu_account_shadow', 'none', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_family'), '_bx_lucid_stg_cpt_option_menu_account_font_family', 'Arial, sans-serif', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_size'), '_bx_lucid_stg_cpt_option_menu_account_font_size', '1rem', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_color'), '_bx_lucid_stg_cpt_option_menu_account_font_color', 'rgba(76, 103, 159, 0.8)', 'rgba', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_color_hover'), '_bx_lucid_stg_cpt_option_menu_account_font_color_hover', 'rgba(76, 103, 159, 1.0)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_color_active'), '_bx_lucid_stg_cpt_option_menu_account_font_color_active', 'rgba(76, 103, 159, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_shadow'), '_bx_lucid_stg_cpt_option_menu_account_font_shadow', 'none', 'digit', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_menu_account_font_weight'), '_bx_lucid_stg_cpt_option_menu_account_font_weight', '400', 'digit', '', '', '', 15);
-- SETTINGS: Lucid template Styles Add Menu
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_menu_add'), '_bx_lucid_stg_cpt_category_styles_menu_add', 97);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_menu_add_bg_color'), '_bx_lucid_stg_cpt_option_menu_add_bg_color', 'rgba(248, 249, 252, 1.0)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_menu_add_bg_image'), '_bx_lucid_stg_cpt_option_menu_add_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_menu_add_bg_image_repeat'), '_bx_lucid_stg_cpt_option_menu_add_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_menu_add_bg_image_size'), '_bx_lucid_stg_cpt_option_menu_add_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_menu_add_content_padding'), '_bx_lucid_stg_cpt_option_menu_add_content_padding', '1.25rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_menu_add_border_color'), '_bx_lucid_stg_cpt_option_menu_add_border_color', 'rgba(0, 0, 0, 0.1)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_menu_add_border_size'), '_bx_lucid_stg_cpt_option_menu_add_border_size', '0px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_menu_add_shadow'), '_bx_lucid_stg_cpt_option_menu_add_shadow', 'none', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_family'), '_bx_lucid_stg_cpt_option_menu_add_font_family', 'Arial, sans-serif', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_size'), '_bx_lucid_stg_cpt_option_menu_add_font_size', '1rem', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_color'), '_bx_lucid_stg_cpt_option_menu_add_font_color', 'rgba(76, 103, 159, 0.8)', 'rgba', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_color_hover'), '_bx_lucid_stg_cpt_option_menu_add_font_color_hover', 'rgba(76, 103, 159, 1.0)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_color_active'), '_bx_lucid_stg_cpt_option_menu_add_font_color_active', 'rgba(76, 103, 159, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_shadow'), '_bx_lucid_stg_cpt_option_menu_add_font_shadow', 'none', 'digit', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_menu_add_font_weight'), '_bx_lucid_stg_cpt_option_menu_add_font_weight', '400', 'digit', '', '', '', 15);
-- SETTINGS: Lucid template Styles Page Menu
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_menu_page'), '_bx_lucid_stg_cpt_category_styles_menu_page', 100);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_menu_page_bg_color'), '_bx_lucid_stg_cpt_option_menu_page_bg_color', 'rgba(255, 255, 255, 0.9)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_menu_page_bg_image'), '_bx_lucid_stg_cpt_option_menu_page_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_menu_page_bg_image_repeat'), '_bx_lucid_stg_cpt_option_menu_page_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_menu_page_bg_image_size'), '_bx_lucid_stg_cpt_option_menu_page_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_menu_page_content_padding'), '_bx_lucid_stg_cpt_option_menu_page_content_padding', '0.3rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_menu_page_border_color'), '_bx_lucid_stg_cpt_option_menu_page_border_color', 'rgba(0, 0, 0, 0.1)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_menu_page_border_size'), '_bx_lucid_stg_cpt_option_menu_page_border_size', '1px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_menu_page_shadow'), '_bx_lucid_stg_cpt_option_menu_page_shadow', 'none', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_family'), '_bx_lucid_stg_cpt_option_menu_page_font_family', 'Arial, sans-serif', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_size'), '_bx_lucid_stg_cpt_option_menu_page_font_size', '1rem', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_color'), '_bx_lucid_stg_cpt_option_menu_page_font_color', 'rgba(40, 50, 60, 0.8)', 'rgba', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_color_hover'), '_bx_lucid_stg_cpt_option_menu_page_font_color_hover', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_color_active'), '_bx_lucid_stg_cpt_option_menu_page_font_color_active', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_shadow'), '_bx_lucid_stg_cpt_option_menu_page_font_shadow', 'none', 'digit', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_menu_page_font_weight'), '_bx_lucid_stg_cpt_option_menu_page_font_weight', '400', 'digit', '', '', '', 15);
-- SETTINGS: Lucid template Styles Slide Menus
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_menu_slide'), '_bx_lucid_stg_cpt_category_styles_menu_slide', 110);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_menu_slide_bg_color'), '_bx_lucid_stg_cpt_option_menu_slide_bg_color', 'rgba(255, 255, 255, 0.9)', 'rgba', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_menu_slide_bg_image'), '_bx_lucid_stg_cpt_option_menu_slide_bg_image', '', 'image', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_menu_slide_bg_image_repeat'), '_bx_lucid_stg_cpt_option_menu_slide_bg_image_repeat', 'no-repeat', 'select', 'no-repeat,repeat,repeat-x,repeat-y', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_menu_slide_bg_image_size'), '_bx_lucid_stg_cpt_option_menu_slide_bg_image_size', 'cover', 'select', 'auto,cover,contain', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_menu_slide_content_padding'), '_bx_lucid_stg_cpt_option_menu_slide_content_padding', '1.25rem', 'digit', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_menu_slide_border_color'), '_bx_lucid_stg_cpt_option_menu_slide_border_color', 'rgba(0, 0, 0, 0.1)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_menu_slide_border_size'), '_bx_lucid_stg_cpt_option_menu_slide_border_size', '1px 0px 1px 0px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_menu_slide_shadow'), '_bx_lucid_stg_cpt_option_menu_slide_shadow', 'none', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_family'), '_bx_lucid_stg_cpt_option_menu_slide_font_family', 'Arial, sans-serif', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_size'), '_bx_lucid_stg_cpt_option_menu_slide_font_size', '1.0rem', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_color'), '_bx_lucid_stg_cpt_option_menu_slide_font_color', 'rgba(40, 50, 60, 0.8)', 'rgba', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_color_hover'), '_bx_lucid_stg_cpt_option_menu_slide_font_color_hover', 'rgba(40, 50, 60, 0.9)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_color_active'), '_bx_lucid_stg_cpt_option_menu_slide_font_color_active', 'rgba(20, 30, 40, 1)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_shadow'), '_bx_lucid_stg_cpt_option_menu_slide_font_shadow', 'none', 'digit', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_menu_slide_font_weight'), '_bx_lucid_stg_cpt_option_menu_slide_font_weight', '400', 'digit', '', '', '', 15);
-- SETTINGS: Lucid template Styles Forms
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_form'), '_bx_lucid_stg_cpt_category_styles_form', 120);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_form_input_height'), '_bx_lucid_stg_cpt_option_form_input_height', '2rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_form_input_bg_color'), '_bx_lucid_stg_cpt_option_form_input_bg_color', 'rgba(255, 255, 255, 0.8)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_form_input_bg_color_active'), '_bx_lucid_stg_cpt_option_form_input_bg_color_active', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_form_input_border_color'), '_bx_lucid_stg_cpt_option_form_input_border_color', 'rgba(40, 60, 80, 0.5)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_form_input_border_color_active'), '_bx_lucid_stg_cpt_option_form_input_border_color_active', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_form_input_border_size'), '_bx_lucid_stg_cpt_option_form_input_border_size', '1px', 'digit', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_form_input_border_radius'), '_bx_lucid_stg_cpt_option_form_input_border_radius', '3px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_form_input_shadow'), '_bx_lucid_stg_cpt_option_form_input_shadow', 'inset 0px 0px 2px 1px rgba(0,0,0,0.15)', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_form_input_font_family'), '_bx_lucid_stg_cpt_option_form_input_font_family', 'Arial, sans-serif', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_form_input_font_size'), '_bx_lucid_stg_cpt_option_form_input_font_size', '1rem', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_form_input_font_color'), '_bx_lucid_stg_cpt_option_form_input_font_color', 'rgba(20, 30, 40, 1)', 'rgba', '', '', '', 11);
-- SETTINGS: Lucid template Styles Large Buttons
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_large_button'), '_bx_lucid_stg_cpt_category_styles_large_button', 130);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_button_lg_height'), '_bx_lucid_stg_cpt_option_button_height', '2rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_button_lg_bg_color'), '_bx_lucid_stg_cpt_option_button_bg_color', 'rgba(228, 233, 242, 1.0)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_button_lg_bg_color_hover'), '_bx_lucid_stg_cpt_option_button_bg_color_hover', 'rgba(197, 206, 224, 1)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_button_lg_bg_color_click'), '_bx_lucid_stg_cpt_option_button_bg_color_click', 'rgba(197, 206, 224, 1)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_button_lg_border_color'), '_bx_lucid_stg_cpt_option_button_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_button_lg_border_color_hover'), '_bx_lucid_stg_cpt_option_button_border_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_button_lg_border_color_click'), '_bx_lucid_stg_cpt_option_button_border_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_lg_border_size'), '_bx_lucid_stg_cpt_option_button_border_size', '0px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_lg_border_radius'), '_bx_lucid_stg_cpt_option_button_border_radius', '4px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_button_lg_shadow'), '_bx_lucid_stg_cpt_option_button_shadow', '0px 0px 0px 1px rgba(0,0,0,0.0)', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_family'), '_bx_lucid_stg_cpt_option_button_font_family', 'Arial, sans-serif', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_size'), '_bx_lucid_stg_cpt_option_button_font_size', '1rem', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_color'), '_bx_lucid_stg_cpt_option_button_font_color', 'rgba(46, 56, 86, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_color_hover'), '_bx_lucid_stg_cpt_option_button_font_color_hover', 'rgba(46, 56, 86, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_color_click'), '_bx_lucid_stg_cpt_option_button_font_color_click', 'rgba(51, 102, 255, 1.0)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_shadow'), '_bx_lucid_stg_cpt_option_button_font_shadow', 'none', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_button_lg_font_weight'), '_bx_lucid_stg_cpt_option_button_font_weight', '700', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Large Primary Buttons
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_large_button_primary'), '_bx_lucid_stg_cpt_category_styles_large_button_primary', 131);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_button_lgp_height'), '_bx_lucid_stg_cpt_option_button_height', '2rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_button_lgp_bg_color'), '_bx_lucid_stg_cpt_option_button_bg_color', 'rgba(51, 102, 255, 1.0)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_button_lgp_bg_color_hover'), '_bx_lucid_stg_cpt_option_button_bg_color_hover', 'rgba(0, 87, 194, 1.0)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_button_lgp_bg_color_click'), '_bx_lucid_stg_cpt_option_button_bg_color_click', 'rgba(0, 87, 194, 1.0)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_button_lgp_border_color'), '_bx_lucid_stg_cpt_option_button_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_button_lgp_border_color_hover'), '_bx_lucid_stg_cpt_option_button_border_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_button_lgp_border_color_click'), '_bx_lucid_stg_cpt_option_button_border_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_button_lgp_border_size'), '_bx_lucid_stg_cpt_option_button_border_size', '0px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_lgp_border_radius'), '_bx_lucid_stg_cpt_option_button_border_radius', '4px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_button_lgp_shadow'), '_bx_lucid_stg_cpt_option_button_shadow', '0px 0px 0px 1px rgba(0,0,0,0.0)', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_family'), '_bx_lucid_stg_cpt_option_button_font_family', 'Arial, sans-serif', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_size'), '_bx_lucid_stg_cpt_option_button_font_size', '1rem', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_color'), '_bx_lucid_stg_cpt_option_button_font_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_color_hover'), '_bx_lucid_stg_cpt_option_button_font_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_color_click'), '_bx_lucid_stg_cpt_option_button_font_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_shadow'), '_bx_lucid_stg_cpt_option_button_font_shadow', 'none', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_button_lgp_font_weight'), '_bx_lucid_stg_cpt_option_button_font_weight', '700', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Normal Buttons
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_button'), '_bx_lucid_stg_cpt_category_styles_button', 135);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_button_nl_height'), '_bx_lucid_stg_cpt_option_button_height', '2rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_button_nl_bg_color'), '_bx_lucid_stg_cpt_option_button_bg_color', 'rgba(228, 233, 242, 1.0)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_button_nl_bg_color_hover'), '_bx_lucid_stg_cpt_option_button_bg_color_hover', 'rgba(197, 206, 224, 1)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_button_nl_bg_color_click'), '_bx_lucid_stg_cpt_option_button_bg_color_click', 'rgba(197, 206, 224, 1)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_button_nl_border_color'), '_bx_lucid_stg_cpt_option_button_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_button_nl_border_color_hover'), '_bx_lucid_stg_cpt_option_button_border_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_button_nl_border_color_click'), '_bx_lucid_stg_cpt_option_button_border_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_button_nl_border_size'), '_bx_lucid_stg_cpt_option_button_border_size', '0px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_nl_border_radius'), '_bx_lucid_stg_cpt_option_button_border_radius', '4px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_button_nl_shadow'), '_bx_lucid_stg_cpt_option_button_shadow', '0px 0px 0px 1px rgba(0,0,0,0.0)', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_family'), '_bx_lucid_stg_cpt_option_button_font_family', 'Arial, sans-serif', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_size'), '_bx_lucid_stg_cpt_option_button_font_size', '0.75rem', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_color'), '_bx_lucid_stg_cpt_option_button_font_color', 'rgba(46, 56, 86, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_color_hover'), '_bx_lucid_stg_cpt_option_button_font_color_hover', 'rgba(46, 56, 86, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_color_click'), '_bx_lucid_stg_cpt_option_button_font_color_click', 'rgba(51, 102, 255, 1.0)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_shadow'), '_bx_lucid_stg_cpt_option_button_font_shadow', 'none', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_button_nl_font_weight'), '_bx_lucid_stg_cpt_option_button_font_weight', '700', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Large Primary Buttons
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_button_primary'), '_bx_lucid_stg_cpt_category_styles_button_primary', 136);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_button_nlp_height'), '_bx_lucid_stg_cpt_option_button_height', '2rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_button_nlp_bg_color'), '_bx_lucid_stg_cpt_option_button_bg_color', 'rgba(51, 102, 255, 1.0)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_button_nlp_bg_color_hover'), '_bx_lucid_stg_cpt_option_button_bg_color_hover', 'rgba(0, 87, 194, 1.0)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_button_nlp_bg_color_click'), '_bx_lucid_stg_cpt_option_button_bg_color_click', 'rgba(0, 87, 194, 1.0)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_button_nlp_border_color'), '_bx_lucid_stg_cpt_option_button_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_button_nlp_border_color_hover'), '_bx_lucid_stg_cpt_option_button_border_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_button_nlp_border_color_click'), '_bx_lucid_stg_cpt_option_button_border_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_button_nlp_border_size'), '_bx_lucid_stg_cpt_option_button_border_size', '0px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_nlp_border_radius'), '_bx_lucid_stg_cpt_option_button_border_radius', '4px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_button_nlp_shadow'), '_bx_lucid_stg_cpt_option_button_shadow', '0px 0px 0px 1px rgba(0,0,0,0.0)', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_family'), '_bx_lucid_stg_cpt_option_button_font_family', 'Arial, sans-serif', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_size'), '_bx_lucid_stg_cpt_option_button_font_size', '1rem', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_color'), '_bx_lucid_stg_cpt_option_button_font_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_color_hover'), '_bx_lucid_stg_cpt_option_button_font_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_color_click'), '_bx_lucid_stg_cpt_option_button_font_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_shadow'), '_bx_lucid_stg_cpt_option_button_font_shadow', 'none', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_button_nlp_font_weight'), '_bx_lucid_stg_cpt_option_button_font_weight', '700', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Small Buttons
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_small_button'), '_bx_lucid_stg_cpt_category_styles_small_button', 140);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_button_sm_height'), '_bx_lucid_stg_cpt_option_button_height', '1.75rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_button_sm_bg_color'), '_bx_lucid_stg_cpt_option_button_bg_color', 'rgba(228, 233, 242, 1.0)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_button_sm_bg_color_hover'), '_bx_lucid_stg_cpt_option_button_bg_color_hover', 'rgba(197, 206, 224, 1)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_button_sm_bg_color_click'), '_bx_lucid_stg_cpt_option_button_bg_color_click', 'rgba(197, 206, 224, 1)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_button_sm_border_color'), '_bx_lucid_stg_cpt_option_button_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_button_sm_border_color_hover'), '_bx_lucid_stg_cpt_option_button_border_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_button_sm_border_color_click'), '_bx_lucid_stg_cpt_option_button_border_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_button_sm_border_size'), '_bx_lucid_stg_cpt_option_button_border_size', '0px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_sm_border_radius'), '_bx_lucid_stg_cpt_option_button_border_radius', '4px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_button_sm_shadow'), '_bx_lucid_stg_cpt_option_button_shadow', '0px 0px 0px 1px rgba(0,0,0,0)', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_family'), '_bx_lucid_stg_cpt_option_button_font_family', 'Arial, sans-serif', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_size'), '_bx_lucid_stg_cpt_option_button_font_size', '0.75rem', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_color'), '_bx_lucid_stg_cpt_option_button_font_color', 'rgba(46, 56, 86, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_color_hover'), '_bx_lucid_stg_cpt_option_button_font_color_hover', 'rgba(46, 56, 86, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_color_click'), '_bx_lucid_stg_cpt_option_button_font_color_click', 'rgba(51, 102, 255, 1.0)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_shadow'), '_bx_lucid_stg_cpt_option_button_font_shadow', 'none', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_button_sm_font_weight'), '_bx_lucid_stg_cpt_option_button_font_weight', '400', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Small Primary Buttons
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_small_button_primary'), '_bx_lucid_stg_cpt_category_styles_small_button_primary', 141);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_button_smp_height'), '_bx_lucid_stg_cpt_option_button_height', '1.75rem', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_button_smp_bg_color'), '_bx_lucid_stg_cpt_option_button_bg_color', 'rgba(51, 102, 255, 1.0)', 'rgba', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_button_smp_bg_color_hover'), '_bx_lucid_stg_cpt_option_button_bg_color_hover', 'rgba(0, 87, 194, 1.0)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_button_smp_bg_color_click'), '_bx_lucid_stg_cpt_option_button_bg_color_click', 'rgba(0, 87, 194, 1.0)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_button_smp_border_color'), '_bx_lucid_stg_cpt_option_button_border_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_button_smp_border_color_hover'), '_bx_lucid_stg_cpt_option_button_border_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_button_smp_border_color_click'), '_bx_lucid_stg_cpt_option_button_border_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_button_smp_border_size'), '_bx_lucid_stg_cpt_option_button_border_size', '0px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_button_smp_border_radius'), '_bx_lucid_stg_cpt_option_button_border_radius', '4px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_button_smp_shadow'), '_bx_lucid_stg_cpt_option_button_shadow', '0px 0px 0px 1px rgba(0,0,0,0)', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_family'), '_bx_lucid_stg_cpt_option_button_font_family', 'Arial, sans-serif', 'digit', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_size'), '_bx_lucid_stg_cpt_option_button_font_size', '0.75rem', 'digit', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_color'), '_bx_lucid_stg_cpt_option_button_font_color', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_color_hover'), '_bx_lucid_stg_cpt_option_button_font_color_hover', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_color_click'), '_bx_lucid_stg_cpt_option_button_font_color_click', 'rgba(255, 255, 255, 1.0)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_shadow'), '_bx_lucid_stg_cpt_option_button_font_shadow', 'none', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_button_smp_font_weight'), '_bx_lucid_stg_cpt_option_button_font_weight', '400', 'digit', '', '', '', 17);
-- SETTINGS: Lucid template Styles Font
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_font'), '_bx_lucid_stg_cpt_category_styles_font', 150);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_font_family'), '_bx_lucid_stg_cpt_option_font_family', 'Arial, sans-serif', 'digit', '', '', '', 1),
(@iCategoryId, CONCAT(@sName, '_font_size_default'), '_bx_lucid_stg_cpt_option_font_size_default', '16px', 'digit', '', '', '', 2),
(@iCategoryId, CONCAT(@sName, '_font_color_default'), '_bx_lucid_stg_cpt_option_font_color_default', 'rgba(40, 50, 60, 0.9)', 'rgba', '', '', '', 3),
(@iCategoryId, CONCAT(@sName, '_font_color_grayed'), '_bx_lucid_stg_cpt_option_font_color_grayed', 'rgba(40, 50, 60, 0.5)', 'rgba', '', '', '', 4),
(@iCategoryId, CONCAT(@sName, '_font_color_contrasted'), '_bx_lucid_stg_cpt_option_font_color_contrasted', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 5),
(@iCategoryId, CONCAT(@sName, '_font_size_small'), '_bx_lucid_stg_cpt_option_font_size_small', '12px', 'digit', '', '', '', 6),
(@iCategoryId, CONCAT(@sName, '_font_size_middle'), '_bx_lucid_stg_cpt_option_font_size_middle', '14px', 'digit', '', '', '', 7),
(@iCategoryId, CONCAT(@sName, '_font_size_large'), '_bx_lucid_stg_cpt_option_font_size_large', '20px', 'digit', '', '', '', 8),
(@iCategoryId, CONCAT(@sName, '_font_size_h1'), '_bx_lucid_stg_cpt_option_font_size_h1', '32px', 'digit', '', '', '', 9),
(@iCategoryId, CONCAT(@sName, '_font_weight_h1'), '_bx_lucid_stg_cpt_option_font_weight_h1', '700', 'digit', '', '', '', 10),
(@iCategoryId, CONCAT(@sName, '_font_color_default_h1'), '_bx_lucid_stg_cpt_option_font_color_default_h1', 'rgba(40, 50, 60, 1)', 'rgba', '', '', '', 11),
(@iCategoryId, CONCAT(@sName, '_font_color_grayed_h1'), '_bx_lucid_stg_cpt_option_font_color_grayed_h1', 'rgba(40, 50, 60, 0.5)', 'rgba', '', '', '', 12),
(@iCategoryId, CONCAT(@sName, '_font_color_contrasted_h1'), '_bx_lucid_stg_cpt_option_font_color_contrasted_h1', 'rgba(255, 255, 255, 0.9)', 'rgba', '', '', '', 13),
(@iCategoryId, CONCAT(@sName, '_font_color_link_h1'), '_bx_lucid_stg_cpt_option_font_color_link_h1', 'rgba(30, 150, 250, 0.9)', 'rgba', '', '', '', 14),
(@iCategoryId, CONCAT(@sName, '_font_color_link_h1_hover'), '_bx_lucid_stg_cpt_option_font_color_link_h1_hover', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 15),
(@iCategoryId, CONCAT(@sName, '_font_size_h2'), '_bx_lucid_stg_cpt_option_font_size_h2', '28px', 'digit', '', '', '', 16),
(@iCategoryId, CONCAT(@sName, '_font_weight_h2'), '_bx_lucid_stg_cpt_option_font_weight_h2', '700', 'digit', '', '', '', 17),
(@iCategoryId, CONCAT(@sName, '_font_color_default_h2'), '_bx_lucid_stg_cpt_option_font_color_default_h2', 'rgba(40, 60, 80, 0.9)', 'rgba', '', '', '', 18),
(@iCategoryId, CONCAT(@sName, '_font_color_grayed_h2'), '_bx_lucid_stg_cpt_option_font_color_grayed_h2', 'rgba(40, 60, 80, 0.5)', 'rgba', '', '', '', 19),
(@iCategoryId, CONCAT(@sName, '_font_color_contrasted_h2'), '_bx_lucid_stg_cpt_option_font_color_contrasted_h2', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 20),
(@iCategoryId, CONCAT(@sName, '_font_color_link_h2'), '_bx_lucid_stg_cpt_option_font_color_link_h2', 'rgba(30, 150, 250, 0.9)', 'rgba', '', '', '', 21),
(@iCategoryId, CONCAT(@sName, '_font_color_link_h2_hover'), '_bx_lucid_stg_cpt_option_font_color_link_h2_hover', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 22),
(@iCategoryId, CONCAT(@sName, '_font_size_h3'), '_bx_lucid_stg_cpt_option_font_size_h3', '24px', 'digit', '', '', '', 23),
(@iCategoryId, CONCAT(@sName, '_font_weight_h3'), '_bx_lucid_stg_cpt_option_font_weight_h3', '500', 'digit', '', '', '', 24),
(@iCategoryId, CONCAT(@sName, '_font_color_default_h3'), '_bx_lucid_stg_cpt_option_font_color_default_h3', 'rgba(40, 60, 80, 0.9)', 'rgba', '', '', '', 25),
(@iCategoryId, CONCAT(@sName, '_font_color_grayed_h3'), '_bx_lucid_stg_cpt_option_font_color_grayed_h3', 'rgba(40, 60, 80, 0.5)', 'rgba', '', '', '', 26),
(@iCategoryId, CONCAT(@sName, '_font_color_contrasted_h3'), '_bx_lucid_stg_cpt_option_font_color_contrasted_h3', 'rgba(255, 255, 255, 1)', 'rgba', '', '', '', 27),
(@iCategoryId, CONCAT(@sName, '_font_color_link_h3'), '_bx_lucid_stg_cpt_option_font_color_link_h3', 'rgba(30, 150, 250, 0.9)', 'rgba', '', '', '', 28),
(@iCategoryId, CONCAT(@sName, '_font_color_link_h3_hover'), '_bx_lucid_stg_cpt_option_font_color_link_h3_hover', 'rgba(30, 150, 250, 1)', 'rgba', '', '', '', 29);
-- SETTINGS: Lucid template Custom Styles
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_styles_custom'), '_bx_lucid_stg_cpt_category_styles_custom', 160);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_styles_custom'), '_bx_lucid_stg_cpt_option_styles_custom', 'div.bx-market-unit-cover div.bx-base-text-unit-no-thumb {\r\n border-width: 0px;\r\n}', 'text', '', '', '', 1);
-- SETTINGS: Lucid template Viewport Tablet
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_viewport_tablet'), '_bx_lucid_stg_cpt_category_viewport_tablet', 170);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_vpt_font_size_scale'), '_bx_lucid_stg_cpt_option_vpt_font_size_scale', '100%', 'digit', '', '', '', 1);
-- SETTINGS: Lucid template Viewport Mobile
INSERT INTO `sys_options_categories`(`type_id`, `name`, `caption`, `order`) VALUES
(@iTypeId, CONCAT(@sName, '_viewport_mobile'), '_bx_lucid_stg_cpt_category_viewport_mobile', 180);
SET @iCategoryId = LAST_INSERT_ID();
INSERT INTO `sys_options`(`category_id`, `name`, `caption`, `value`, `type`, `extra`, `check`, `check_error`, `order`) VALUES
(@iCategoryId, CONCAT(@sName, '_vpm_font_size_scale'), '_bx_lucid_stg_cpt_option_vpm_font_size_scale', '87.5%', 'digit', '', '', '', 1);
-- MIXES
INSERT INTO `sys_options_mixes` (`type`, `category`, `name`, `title`, `active`, `editable`) VALUES
(@sName, '', 'Light-Mix', 'Light Mix', 1, 0);
SET @iMixId = LAST_INSERT_ID();
UPDATE `sys_options` SET `value`=@iMixId WHERE `name`=CONCAT(@sName, '_default_mix');
INSERT INTO `sys_options_mixes2options` (`option`, `mix_id`, `value`) VALUES
('bx_lucid_card_bg_image_attachment', @iMixId, 'scroll'),
('bx_lucid_card_bg_color_hover', @iMixId, 'rgba(255, 255, 255, 0.5)'),
('bx_lucid_font_color_contrasted_h3', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_font_color_grayed_h3', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_font_color_link_h3', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_font_size_h3', @iMixId, '24px'),
('bx_lucid_font_color_default_h3', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_font_color_link_h2_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_font_weight_h3', @iMixId, '600'),
('bx_lucid_font_color_contrasted_h2', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_font_color_grayed_h2', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_font_color_link_h2', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_font_color_default_h2', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_font_color_contrasted_h1', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_font_weight_h2', @iMixId, '600'),
('bx_lucid_font_color_link_h1', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_font_size_h2', @iMixId, '28px'),
('bx_lucid_font_color_default_h1', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_font_color_grayed_h1', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_font_weight_h1', @iMixId, '800'),
('bx_lucid_font_size_small', @iMixId, '12px'),
('bx_lucid_font_size_h1', @iMixId, '32px'),
('bx_lucid_font_size_middle', @iMixId, '14px'),
('bx_lucid_font_size_large', @iMixId, '20px'),
('bx_lucid_font_color_contrasted', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_font_color_default', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_font_color_grayed', @iMixId, 'rgba(140, 140, 140, 1)'),
('bx_lucid_font_size_default', @iMixId, '16px'),
('bx_lucid_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_form_input_font_color', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_form_input_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_form_input_border_color_active', @iMixId, 'rgba(24, 144, 255, 1)'),
('bx_lucid_form_input_shadow', @iMixId, '0px 1px 3px 0px rgba(0, 0, 0, 0)'),
('bx_lucid_form_input_font_size', @iMixId, '1rem'),
('bx_lucid_form_input_bg_color_active', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_form_input_border_size', @iMixId, '1px'),
('bx_lucid_menu_slide_font_color_active', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_menu_slide_font_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_form_input_border_color', @iMixId, 'rgba(50, 100, 180, 0.2)'),
('bx_lucid_form_input_bg_color', @iMixId, 'rgba(255, 255, 255, 0.9)'),
('bx_lucid_form_input_height', @iMixId, '2.5rem'),
('bx_lucid_menu_slide_font_shadow', @iMixId, 'none'),
('bx_lucid_menu_slide_font_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_menu_slide_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_menu_slide_font_weight', @iMixId, '600'),
('bx_lucid_menu_slide_font_size', @iMixId, '0.875rem'),
('bx_lucid_menu_slide_border_color', @iMixId, 'rgba(20, 80, 100, 0.2)'),
('bx_lucid_menu_slide_border_size', @iMixId, '1px'),
('bx_lucid_menu_slide_shadow', @iMixId, '0px 4px 12px 0px rgba(0, 0, 0, 0.1)'),
('bx_lucid_menu_slide_bg_color', @iMixId, 'rgba(255, 255, 255, 0.9)'),
('bx_lucid_menu_slide_content_padding', @iMixId, '1rem'),
('bx_lucid_menu_slide_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_menu_slide_bg_image_size', @iMixId, 'cover'),
('bx_lucid_menu_page_font_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_menu_page_font_weight', @iMixId, '600'),
('bx_lucid_menu_page_font_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_menu_page_font_shadow', @iMixId, 'none'),
('bx_lucid_menu_page_font_color_active', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_menu_page_font_size', @iMixId, '0.875rem'),
('bx_lucid_menu_page_shadow', @iMixId, 'none'),
('bx_lucid_menu_page_border_size', @iMixId, '0px'),
('bx_lucid_menu_page_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_menu_page_border_color', @iMixId, 'rgba(0, 0, 0, 0.1)'),
('bx_lucid_menu_page_content_padding', @iMixId, '0px'),
('bx_lucid_menu_page_bg_image_size', @iMixId, 'cover'),
('bx_lucid_menu_page_bg_color', @iMixId, 'rgba(0, 0, 0, 0)'),
('bx_lucid_menu_page_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_menu_add_font_color_active', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_menu_add_font_shadow', @iMixId, 'none'),
('bx_lucid_menu_add_font_weight', @iMixId, '600'),
('bx_lucid_menu_add_font_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_menu_add_font_size', @iMixId, '0.875rem'),
('bx_lucid_menu_add_font_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_menu_add_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_menu_add_shadow', @iMixId, '0px 4px 12px 0px rgba(0, 0, 0, 0.2)'),
('bx_lucid_menu_add_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_menu_add_bg_image_size', @iMixId, 'cover'),
('bx_lucid_menu_add_border_size', @iMixId, '1px'),
('bx_lucid_menu_add_border_color', @iMixId, 'rgba(20, 80, 100, 0.05)'),
('bx_lucid_menu_add_content_padding', @iMixId, '1rem'),
('bx_lucid_menu_account_font_color_active', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_menu_add_bg_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_menu_account_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_menu_account_font_weight', @iMixId, '600'),
('bx_lucid_menu_account_font_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_menu_account_border_color', @iMixId, 'rgba(20, 80, 100, 0.2)'),
('bx_lucid_menu_account_font_shadow', @iMixId, 'none'),
('bx_lucid_menu_account_border_size', @iMixId, '1px'),
('bx_lucid_menu_account_font_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_menu_account_content_padding', @iMixId, '1rem'),
('bx_lucid_menu_account_font_size', @iMixId, '1.0rem'),
('bx_lucid_menu_account_shadow', @iMixId, '0px 4px 12px 0px rgba(0, 0, 0, 0.2)'),
('bx_lucid_menu_account_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_menu_account_bg_image_size', @iMixId, 'cover'),
('bx_lucid_menu_main_font_weight', @iMixId, '600'),
('bx_lucid_menu_account_bg_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_menu_main_font_shadow', @iMixId, 'none'),
('bx_lucid_menu_main_font_color_active', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_menu_main_font_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_menu_main_border_size', @iMixId, '0px'),
('bx_lucid_menu_main_font_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_menu_main_font_size', @iMixId, '1.0rem'),
('bx_lucid_menu_main_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_menu_main_shadow', @iMixId, 'none'),
('bx_lucid_menu_main_border_color', @iMixId, 'rgba(0, 0, 0, 0)'),
('bx_lucid_menu_main_content_padding', @iMixId, '0px'),
('bx_lucid_menu_main_bg_image_size', @iMixId, 'cover'),
('bx_lucid_menu_main_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_menu_main_bg_color', @iMixId, 'rgba(0, 0, 0, 0)'),
('bx_lucid_popup_title_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_popup_title_font_size', @iMixId, '1rem'),
('bx_lucid_popup_title_font_color', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_popup_shadow', @iMixId, '0px 4px 12px 0px rgba(0, 0, 0, 0.2)'),
('bx_lucid_popup_title_bg_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_popup_border_size', @iMixId, '1px'),
('bx_lucid_popup_border_color', @iMixId, 'rgba(20, 80, 100, 0.2)'),
('bx_lucid_popup_title_padding', @iMixId, '1rem'),
('bx_lucid_popup_content_padding', @iMixId, '1rem 1rem'),
('bx_lucid_popup_border_radius', @iMixId, '8px'),
('bx_lucid_popup_bg_image_size', @iMixId, 'cover'),
('bx_lucid_popup_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_card_content_padding', @iMixId, '1rem'),
('bx_lucid_popup_bg_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_card_shadow', @iMixId, '0px 2px 6px 0px rgba(0, 0, 0, 0.05)'),
('bx_lucid_vpt_font_size_scale', @iMixId, '100%'),
('bx_lucid_card_border_radius', @iMixId, '8px'),
('bx_lucid_vpm_font_size_scale', @iMixId, '100%'),
('bx_lucid_card_border_size', @iMixId, '1px'),
('bx_lucid_card_border_color', @iMixId, 'rgba(20, 80, 100, 0.1)'),
('bx_lucid_styles_custom', @iMixId, 'div.bx-market-unit-cover div.bx-base-text-unit-no-thumb {\r\n border-width: 0px;\r\n}\r\n.bx-menu-object-UNA-Submenu {\r\nline-height: 3rem;\r\n height: 2.5rem;\r\n}\r\nbody .bx-menu-object-UNA-Submenu .sys-icon {\r\nvertical-align:bottom;\r\n}\r\n\r\n/*--- Menus ---*/\r\n.bx-popup .bx-menu-ver li,\r\n.bx-popup .bx-menu-custom-ver li,\r\n.bx-menu-floating-blocks li {\r\nborder-radius: 0.25rem;\r\nfont-size: 0.875rem;\r\nfont-weight: 600;\r\n}\r\n\r\n.bx-popup .bx-menu-ver li a,\r\n.bx-popup .bx-menu-ver li a .sys-icon,\r\n.bx-popup .bx-menu-custom-ver li a,\r\n.bx-popup .bx-menu-custom-ver li a .sys-icon,\r\n.bx-menu-floating-blocks li a,\r\n.bx-menu-floating-blocks li a .sys-icon:not(.sys-colored) {\r\ncolor: rgba(60, 80, 90, 0.8);\r\n}\r\n.bx-menu-floating-blocks li a:hover,\r\n.bx-menu-floating-blocks li a:hover .sys-icon,\r\n.bx-popup .bx-menu-ver li a:hover,\r\n.bx-popup .bx-menu-ver li a:hover .sys-icon,\r\n.bx-popup .bx-menu-custom-ver li a:hover,\r\n.bx-popup .bx-menu-custom-ver li a:hover .sys-icon,\r\n.bx-menu-custom.bx-menu-custom-hor.bx-menu-more-auto .bx-menu-submenu-more-auto .bx-menu-item a:hover {\r\ncolor: rgba(64, 169, 255, 1);\r\n}\r\n\r\n/*--- Auto More Menus ---*/\r\n.bx-menu-main-submenu.bx-menu-more-auto .bx-menu-submenu-more-auto .bx-menu-item .bx-btn,\r\n.bx-menu-custom.bx-menu-custom-hor.bx-menu-more-auto .bx-menu-submenu-more-auto .bx-menu-item a,\r\n.bx-menu-custom.bx-menu-custom-hor.bx-menu-more-auto .bx-menu-submenu-more-auto .bx-menu-item .bx-btn {\r\nfont-weight: 600;\r\ncolor: rgba(60, 80, 90, 0.8);\r\n}\r\n\r\n/*--- Froala ---*/\r\n.bx-form-value .bx-form-input-wrapper-textarea.bx-form-input-wrapper-html .fr-box.gray-theme{\r\n -webkit-box-sizing: border-box;\r\n -moz-box-sizing: border-box;\r\n -ms-box-sizing: border-box;\r\n box-sizing: border-box;\r\n border: 1px solid rgba(50, 100, 180, 0.2);\r\n-webkit-border-radius: 4px;\r\n -moz-border-radius: 4px;\r\n border-radius: 4px;\r\nbackground-clip: padding-box;\r\nbackground-color: rgba(255, 255, 255, 0.9);\r\n -webkit-box-shadow: 0px 1px 3px 0px rgba(0, 0, 0, 0);\r\n -moz-box-shadow: 0px 1px 3px 0px rgba(0, 0, 0, 0);\r\n box-shadow: 0px 1px 3px 0px rgba(0, 0, 0, 0);\r\n}\r\n.bx-form-input-wrapper-textarea:not(.fr-fullscreen-wrapper) .fr-box.fr-basic .fr-toolbar,\r\n.bx-form-input-wrapper-textarea:not(.fr-fullscreen-wrapper) .fr-box.fr-basic .fr-wrapper,\r\n.bx-form-input-wrapper-textarea:not(.fr-fullscreen-wrapper) .fr-box.fr-basic .second-toolbar {\r\nborder-width: 0;\r\nbackground-color: transparent;\r\n}\r\n'),
('bx_lucid_font_color_link_h3_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_block_title_div_bg_color', @iMixId, 'rgba(20, 80, 100, 0.1)'),
('bx_lucid_card_bg_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_card_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_card_bg_image_size', @iMixId, 'cover'),
('bx_lucid_block_title_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_block_title_div_height', @iMixId, '1px'),
('bx_lucid_block_title_border_radius', @iMixId, '0px'),
('bx_lucid_block_title_border_size', @iMixId, '0px'),
('bx_lucid_block_title_font_color', @iMixId, 'rgba(38, 38, 38, 1)'),
('bx_lucid_block_title_font_weight', @iMixId, '700'),
('bx_lucid_block_title_bg_color', @iMixId, 'rgba(255, 255, 255, 0)'),
('bx_lucid_block_shadow', @iMixId, '0px 2px 6px 0px rgba(0, 0, 0, 0.05)'),
('bx_lucid_block_border_size', @iMixId, '1px'),
('bx_lucid_block_title_padding', @iMixId, '0.75rem 1.0rem 0.75rem 1.0rem'),
('bx_lucid_block_border_radius', @iMixId, '8px'),
('bx_lucid_block_title_font_size', @iMixId, '1.25rem'),
('bx_lucid_block_title_border_color', @iMixId, 'rgba(0, 0, 0, 0)'),
('bx_lucid_block_border_color', @iMixId, 'rgba(20, 80, 100, 0.1)'),
('bx_lucid_cover_font_size', @iMixId, '2.0rem'),
('bx_lucid_block_content_padding', @iMixId, '1rem'),
('bx_lucid_cover_font_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_cover_font_family', @iMixId, '''Source Sans Pro'', -apple-system, BlinkMacSystemFont, ''Segoe UI'', Roboto, Helvetica, Arial, sans-serif'),
('bx_lucid_block_bg_image_size', @iMixId, 'cover'),
('bx_lucid_block_bg_color', @iMixId, 'rgba(255, 255, 255, 0.8)'),
('bx_lucid_cover_font_weight', @iMixId, '800'),
('bx_lucid_block_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_cover_icon_shadow', @iMixId, 'none'),
('bx_lucid_cover_text_shadow', @iMixId, '0px 1px 3px rgba(0, 0, 0, .3)'),
('bx_lucid_cover_border_radius', @iMixId, '8px'),
('bx_lucid_cover_icon_border_color', @iMixId, 'rgba(208, 208, 208, 1)'),
('bx_lucid_cover_icon_border_size', @iMixId, '1px'),
('bx_lucid_cover_icon_border_radius', @iMixId, '3px'),
('bx_lucid_cover_text_align', @iMixId, 'center'),
('bx_lucid_cover_border_size', @iMixId, '0px'),
('bx_lucid_cover_border_color', @iMixId, 'rgba(208, 208, 208, 0)'),
('bx_lucid_cover_shadow', @iMixId, 'none'),
('bx_lucid_cover_content_padding', @iMixId, '2rem 3rem 2rem 3rem'),
('bx_lucid_cover_height', @iMixId, '8rem'),
('bx_lucid_body_icon_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_body_link_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_cover_bg_color', @iMixId, 'rgba(255, 255, 255, 1)'),
('bx_lucid_body_link_color', @iMixId, 'rgba(24, 144, 255, 1)'),
('bx_lucid_font_color_link_h1_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_page_width', @iMixId, '1280px'),
('bx_lucid_body_icon_color', @iMixId, 'rgba(24, 144, 255, 1)'),
('bx_lucid_body_bg_image_size', @iMixId, 'cover'),
('bx_lucid_body_bg_color', @iMixId, 'rgb(230, 240, 250)'),
('bx_lucid_body_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_footer_icon_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_footer_link_color_hover', @iMixId, 'rgba(64, 169, 255, 1)'),
('bx_lucid_footer_link_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_footer_border_size', @iMixId, '1px'),
('bx_lucid_footer_content_padding', @iMixId, '1rem'),
('bx_lucid_footer_border_color', @iMixId, 'rgba(40, 60, 80, 0.1)'),
('bx_lucid_footer_font_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_footer_icon_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_footer_shadow', @iMixId, 'none'),
('bx_lucid_footer_bg_color', @iMixId, 'rgba(40, 60, 80, 0)'),
('bx_lucid_footer_bg_image_size', @iMixId, 'cover'),
('bx_lucid_footer_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_header_shadow', @iMixId, '0px 0px 4px 0px rgba(0, 0, 0, 0.1)'),
('bx_lucid_header_icon_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_header_border_size', @iMixId, '0px'),
('bx_lucid_header_link_color', @iMixId, 'rgba(89, 89, 89, 1)'),
('bx_lucid_header_icon_color_hover', @iMixId, 'rgba(24, 144, 255, 1)'),
('bx_lucid_site_logo_alt', @iMixId, ''),
('bx_lucid_header_link_color_hover', @iMixId, 'rgba(24, 144, 255, 1)'),
('bx_lucid_header_border_color', @iMixId, 'rgba(245, 245, 245, 1)'),
('bx_lucid_header_bg_image_size', @iMixId, 'cover'),
('bx_lucid_header_bg_image_repeat', @iMixId, 'no-repeat'),
('bx_lucid_header_bg_color', @iMixId, 'rgba(255, 255, 255, 0.95)'),
('bx_lucid_general_item_bg_color_active', @iMixId, 'rgba(235, 240, 245, 1)'),
('bx_lucid_general_item_bg_color_disabled', @iMixId, 'rgba(230, 230, 230, 1)'),
('bx_lucid_header_content_padding', @iMixId, '0'),
('bx_lucid_header_height', @iMixId, '3.5rem'),
('bx_lucid_form_input_border_radius', @iMixId, '4px'),
('bx_lucid_general_item_bg_color_hover', @iMixId, 'rgba(235, 240, 245, 0.8)'),
('bx_lucid_menu_main_align_items', @iMixId, 'left');
-- STUDIO PAGE & WIDGET
INSERT INTO `sys_std_pages`(`index`, `name`, `header`, `caption`, `icon`) VALUES
(3, @sName, '', '', 'bx_lucid@modules/boonex/lucid/|std-icon.svg');
SET @iPageId = LAST_INSERT_ID();
SET @iParentPageId = (SELECT `id` FROM `sys_std_pages` WHERE `name`='home');
SET @iParentPageOrder = (SELECT MAX(`order`) FROM `sys_std_pages_widgets` WHERE `page_id`=@iParentPageId);
INSERT INTO `sys_std_widgets`(`page_id`, `module`, `type`, `url`, `click`, `icon`, `caption`, `cnt_notices`, `cnt_actions`) VALUES
(@iPageId, @sName, 'appearance', CONCAT('{url_studio}design.php?name=', @sName), '', 'bx_lucid@modules/boonex/lucid/|std-icon.svg', '_bx_lucid_wgt_cpt', '', 'a:4:{s:6:"module";s:6:"system";s:6:"method";s:11:"get_actions";s:6:"params";a:0:{}s:5:"class";s:18:"TemplStudioDesigns";}');
INSERT INTO `sys_std_pages_widgets`(`page_id`, `widget_id`, `order`) VALUES
(@iParentPageId, LAST_INSERT_ID(), @iParentPageOrder + 1);
|
SET ANSI_NULLS ON;
SET ANSI_PADDING ON;
SET ANSI_WARNINGS ON;
SET ANSI_NULL_DFLT_ON ON;
SET CONCAT_NULL_YIELDS_NULL ON;
SET QUOTED_IDENTIFIER ON;
go
-- =============================================
-- Pre Setup - Remove table from previous installation
-- =============================================
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA='smgt' AND TABLE_NAME='ssas_jobs' AND TABLE_TYPE='BASE TABLE')
DROP TABLE smgt.ssas_jobs;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_set_process_flag' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_set_process_flag;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_validate_schema' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_validate_schema;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_get_current_record_counts' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_get_current_record_counts;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_check_record_counts_changed' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_check_record_counts_changed;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_finish_job' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_finish_job;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_start_job' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_start_job;
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA='smgt' AND ROUTINE_NAME='sp_reset_job' AND ROUTINE_TYPE='PROCEDURE')
DROP PROCEDURE [smgt].sp_reset_job;
GO
-- =============================================
-- Pre Setup - Insert Configuration Values
-- =============================================
DELETE
FROM smgt.[configuration]
WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS'
GO
INSERT smgt.[configuration] (configuration_group, configuration_subgroup, [name], [value], [visible])
VALUES ( N'SolutionTemplate', N'SSAS', N'ProcessOnNextSchedule', N'0', 0),
( N'SolutionTemplate', N'SSAS', N'Timeout', N'4', 0),
( N'SolutionTemplate', N'SSAS', N'ValidateSchema', N'1', 0),
( N'SolutionTemplate', N'SSAS', N'CheckRowCounts', N'1', 0),
( N'SolutionTemplate', N'SSAS', N'CheckProcessFlag', N'0', 0);
GO
-- =============================================
-- SSAS tables
-- =============================================
CREATE TABLE smgt.ssas_jobs
(
id INT IDENTITY(1, 1) NOT NULL,
startTime DateTime NOT NULL,
endTime DateTime NULL,
statusMessage nvarchar(MAX),
lastCount INT,
CONSTRAINT id_pk PRIMARY KEY (id)
);
go
-- =============================================
-- SSAS stored procs
-- =============================================
-- set process flag
CREATE PROCEDURE smgt.sp_set_process_flag
@process_flag nvarchar = '1'
AS
BEGIN
SET NOCOUNT ON;
UPDATE [smgt].[configuration]
SET [value]=@process_flag
WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS' AND [name]='ProcessOnNextSchedule';
END
GO
-- SSAS validate schema
CREATE PROCEDURE smgt.sp_validate_schema AS
BEGIN
SET NOCOUNT ON;
DECLARE @tables NVARCHAR(MAX);
SELECT @tables = REPLACE([value],' ','')
FROM [smgt].[configuration]
WHERE configuration_group = 'SolutionTemplate'
AND configuration_subgroup = 'StandardConfiguration'
AND name = 'Tables';
DECLARE @returnValue INT;
SELECT @returnValue = Count(*)
FROM INFORMATION_SCHEMA.TABLES
WHERE ( table_schema = 'dbo' AND
table_name COLLATE SQL_Latin1_General_CP1_CI_AS IN (
SELECT [value] COLLATE SQL_Latin1_General_CP1_CI_AS FROM STRING_SPLIT(@tables,',') WHERE RTRIM([value])<>'' ));
if(@returnValue = 9)
BEGIN
RETURN 1;
END;
RETURN 0;
END;
go
-- Get Record Counts
CREATE PROCEDURE smgt.sp_get_current_record_counts AS
BEGIN
SET NOCOUNT ON;
DECLARE @returnValue INT = 0;
DECLARE @stmt AS NVARCHAR(500), @p1 AS VARCHAR(100)
DECLARE @cr CURSOR;
DECLARE @tables NVARCHAR(MAX);
SELECT @tables = REPLACE([value],' ','')
FROM [smgt].[configuration]
WHERE configuration_group = 'SolutionTemplate'
AND configuration_subgroup = 'StandardConfiguration'
AND name = 'Tables';
SET @cr = CURSOR FAST_FORWARD FOR
SELECT [value] COLLATE SQL_Latin1_General_CP1_CI_AS FROM STRING_SPLIT(@tables,',') WHERE RTRIM([value])<>''
OPEN @cr;
FETCH NEXT FROM @cr INTO @p1;
WHILE @@FETCH_STATUS = 0
BEGIN
DECLARE @retValue INT=0;
SET @stmt = 'SELECT @var = COUNT(*) FROM dbo.' + QuoteName(@p1);
DECLARE @ParmDefinition NVARCHAR(500) = N'@var int OUTPUT';
EXECUTE sp_executesql @stmt, @ParmDefinition, @var = @retValue OUTPUT;
SET @returnValue = @returnValue + @retValue;
FETCH NEXT FROM @cr INTO @p1;
END;
CLOSE @cr;
DEALLOCATE @cr;
RETURN @returnValue;
END;
go
-- get record counts
CREATE PROCEDURE smgt.sp_check_record_counts_changed AS
BEGIN
SET NOCOUNT ON;
DECLARE @newRowCount INT;
DECLARE @oldRowCount INT;
EXECUTE @newRowCount = smgt.sp_get_current_record_counts;
SELECT TOP 1 @oldRowCount = [lastCount]
FROM smgt.[ssas_jobs]
WHERE [statusMessage] = 'Success'
ORDER BY startTime DESC;
IF @newRowCount = @oldRowCount
RETURN 0;
ELSE
RETURN 1;
END;
go
-- finish job
CREATE PROCEDURE [smgt].[sp_finish_job]
@jobid INT,
@jobMessage NVARCHAR(MAX)
AS
BEGIN
SET NOCOUNT ON;
DECLARE @newRowCount INT;
EXECUTE @newRowCount = smgt.sp_get_current_record_counts;
IF @jobMessage = 'Success'
UPDATE [smgt].[ssas_jobs]
SET [endTime]=GETDATE(), [statusMessage]=@jobMessage, [lastCount]=@newRowCount
WHERE [id] = @jobid;
ELSE
UPDATE [smgt].[ssas_jobs]
SET [endTime]=GETDATE(), [statusMessage]=@jobMessage
WHERE [id] = @jobid;
END;
GO
-- timeout jobs
CREATE PROCEDURE smgt.sp_reset_job
AS
BEGIN
SET NOCOUNT ON;
UPDATE smgt.[ssas_jobs]
SET [statusMessage]='Timed Out',
[endTime]=GetDate()
WHERE endTime is NULL AND
DATEPART(HOUR, getdate() - startTime) >=
(SELECT [value] FROM smgt.[configuration] WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS' AND [name]='Timeout')
DELETE
FROM smgt.[ssas_jobs]
WHERE DATEPART(DAY, getdate() - startTime) >= 30
END;
GO
-- start job
CREATE PROCEDURE smgt.sp_start_job
AS
BEGIN
SET NOCOUNT ON;
DECLARE @validateSchema INT;
DECLARE @checkRowCounts INT;
DECLARE @checkProcessFlag INT;
DECLARE @id INT;
DECLARE @checksPassed INT;
DECLARE @errorMessage NVARCHAR(MAX);
SET @errorMessage = '';
SET @checksPassed = 1;
SELECT @validateSchema = [value]
FROM smgt.[configuration]
WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS' AND [name]='ValidateSchema';
SELECT @checkRowCounts = [value]
FROM smgt.[configuration]
WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS' AND [name]='CheckRowCounts';
SELECT @checkProcessFlag = [value]
FROM smgt.[configuration]
WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS' AND [name]='CheckProcessFlag';
EXEC smgt.sp_reset_job
INSERT smgt.[ssas_jobs] (startTime, statusMessage)
VALUES ( GETDATE(), 'Running');
SELECT @id = SCOPE_IDENTITY();
DECLARE @validateSchemaResult INT = 0;
if(@validateSchema = 1)
BEGIN
EXECUTE @validateSchemaResult = smgt.sp_validate_schema;
if(@validateSchemaResult = 0)
BEGIN
SET @errorMessage = @errorMessage + 'Validate Schema unsuccessful. ';
SET @checksPassed = 0;
END
END;
if(@validateSchema = 1 AND @validateSchemaResult = 1 AND @checkRowCounts = 1)
BEGIN
DECLARE @checkRowCountsResult INT;
EXECUTE @checkRowCountsResult = smgt.sp_check_record_counts_changed;
if(@checkRowCountsResult = 0)
BEGIN
SET @errorMessage = @errorMessage + 'Record Counts unchanged. ';
SET @checksPassed = 0;
END
END;
if(@checkProcessFlag = 1)
BEGIN
DECLARE @checkProcessFlagResult INT;
SELECT @checkProcessFlagResult = [value]
FROM smgt.[configuration]
WHERE [configuration_group] = 'SolutionTemplate' AND [configuration_subgroup]='SSAS' AND [name]='ProcessOnNextSchedule'
if(@checkProcessFlagResult = 0)
BEGIN
SET @errorMessage = @errorMessage + 'Process flag not set to 1. ';
SET @checksPassed = 0;
END
END;
DECLARE @getLastJobs INT;
SELECT @checkProcessFlagResult = count(*)
FROM smgt.[ssas_jobs]
WHERE [endTime] is NULL
if(@checkProcessFlagResult > 1)
BEGIN
SET @errorMessage = @errorMessage + 'Job currently Running. ';
SET @checksPassed = 0;
END;
IF(@checksPassed = 0)
BEGIN
EXEC [smgt].[sp_finish_job] @jobid= @id, @jobMessage= @errorMessage
return 0;
END
EXEC [smgt].[sp_set_process_flag] @process_flag = '0'
RETURN @id;
END;
GO
|
select 1 as id, current_date as updated_at
union all
select 2 as id, current_date as updated_at
union all
select 3 as id, current_date as updated_at
union all
select 4 as id, current_date as updated_at
|
/*
This software has been released under the MIT license:
Copyright (c) 2009 Jonas Krogsboell
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
/* Base64 binary support */
set serveroutput on;
DECLARE
obj pljson_list;
binarydata BLOB := utl_raw.cast_to_raw('ABC');
getback BLOB;
BEGIN
obj := pljson_ext.base64(binarydata);
obj.print;
getback := pljson_ext.base64(obj);
dbms_output.put_line(utl_raw.cast_to_varchar2(getback));
END;
/
DECLARE
obj pljson_value;
binarydata BLOB := utl_raw.cast_to_raw('ABC');
getback BLOB;
BEGIN
obj := pljson_ext.encode(binarydata);
obj.print;
getback := pljson_ext.decode(obj);
dbms_output.put_line(utl_raw.cast_to_varchar2(getback));
END;
/
|
INSERT INTO atcoder(name, start_time, end_time, range)
VALUES
('AtCoder Beginner Contest 999', '2021-12-30 21:00:00 +09', '2021-12-30 22:40:00 +09', ' ~ 1999'),
('AtCoder Regular Contest 999', '2021-12-31 21:00:00 +09', '2022-1-1 0:0:0 +09', ' - ');
|
CREATE TABLE users (
email VARCHAR(100) NOT NULL PRIMARY KEY,
hash VARCHAR(122) NOT NULL, --argon hash
created_at TIMESTAMP NOT NULL
);
|
{{ config( materialized='incremental', unique_key='model_execution_id' ) }}
with models as (
select *
from {{ ref('dim_dbt__models') }}
),
model_executions as (
select *
from {{ ref('int_dbt__model_executions') }}
),
run_results as (
select *
from {{ ref('fct_dbt__run_results') }}
),
model_executions_incremental as (
select model_executions.*
from model_executions
-- Inner join with run results to enforce consistency and avoid race conditions.
-- https://github.com/brooklyn-data/dbt_artifacts/issues/75
inner join run_results on
model_executions.artifact_run_id = run_results.artifact_run_id
{% if is_incremental() %}
-- this filter will only be applied on an incremental run
where model_executions.artifact_generated_at > (select max(artifact_generated_at) from {{ this }})
{% endif %}
),
model_executions_with_materialization as (
select
model_executions_incremental.*,
models.model_materialization,
models.model_schema,
models.name
from model_executions_incremental
left join models on
(
model_executions_incremental.command_invocation_id = models.command_invocation_id
or model_executions_incremental.dbt_cloud_run_id = models.dbt_cloud_run_id
)
and model_executions_incremental.node_id = models.node_id
),
fields as (
select
model_execution_id,
command_invocation_id,
dbt_cloud_run_id,
artifact_run_id,
artifact_generated_at,
was_full_refresh,
node_id,
thread_id,
status,
compile_started_at,
query_completed_at,
total_node_runtime,
rows_affected,
model_materialization,
model_schema,
name
from model_executions_with_materialization
)
select * from fields
|
create table appointment(
id uuid not null,
appointment_time timestamp with time zone not null,
duration_in_minutes int not null,
created_at timestamp with time zone not null,
created_by_id text not null,
attended attended,
additional_attendance_information text,
attendance_submitted_at timestamp with time zone,
attendance_behaviour text,
notifyppof_attendance_behaviour boolean,
attendance_behaviour_submitted_at timestamp with time zone,
appointment_feedback_submitted_at timestamp with time zone,
appointment_feedback_submitted_by_id text,
delius_appointment_id bigint,
constraint pk_appt_id primary key (id),
constraint fk_appt_to_created_by foreign key (created_by_id) references auth_user,
constraint fk_feedback_submitted_by foreign key (appointment_feedback_submitted_by_id) references auth_user
);
|
CREATE TABLE pessoas (id INTEGER, nome VARCHAR(50) );
|
ALTER TABLE `hubrsskeys`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
MODIFY `addon_id` int(10) unsigned DEFAULT NULL,
MODIFY `created` date NOT NULL,
DROP FOREIGN KEY `hubrsskeys_ibfk_1`, /* (`user_id`) REFERENCES `users` (`id`),*/
DROP FOREIGN KEY `hubrsskeys_ibfk_2`, /* (`addon_id`) REFERENCES `addons` (`id`) ON DELETE CASCADE*/
ADD CONSTRAINT `hubrsskeys_addon_id_ce909c47_fk_addons_id` FOREIGN KEY (`addon_id`) REFERENCES `addons` (`id`),
ADD CONSTRAINT `hubrsskeys_user_id_4a5b5b26_fk_users_id` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`);
|
CREATE TABLE IF NOT EXISTS `user` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`device_id` varchar(64) NOT NULL,
`android_id` varchar(20) DEFAULT NULL,
`cellphone` char(11) DEFAULT NULL,
`nickname` varchar(32) NOT NULL,
`gender` char(1) NOT NULL,
`avatar_url` varchar(255) DEFAULT NULL,
`score` int(11) DEFAULT NULL,
`created_date` datetime NOT NULL,
`modified_date` datetime NOT NULL,
PRIMARY KEY (`id`),
KEY `device_id_idx` (`device_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE IF NOT EXISTS `bubble` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`parent_id` bigint(20) DEFAULT NULL,
`parent_bubble_id` bigint(20) DEFAULT NULL,
`author_id` bigint(20) NOT NULL,
`content` varchar(255) NOT NULL,
`emoji_marker` int(11) DEFAULT NULL,
`reply_num` int(11) DEFAULT NULL,
`score` int(11) DEFAULT NULL,
`timestamp` datetime DEFAULT NULL,
`last_reply_time` datetime DEFAULT NULL,
`latitude` double DEFAULT NULL,
`longitude` double DEFAULT NULL,
`distance` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `fk_parent_bubble` (`parent_bubble_id`),
KEY `fk_parent` (`parent_id`),
KEY `fk_user` (`author_id`),
KEY `idx_loc_time` (`latitude`,`longitude`,`timestamp`),
CONSTRAINT `fk_parent` FOREIGN KEY (`parent_id`) REFERENCES `bubble` (`id`) ON UPDATE CASCADE,
CONSTRAINT `fk_parent_bubble` FOREIGN KEY (`parent_bubble_id`) REFERENCES `bubble` (`id`) ON UPDATE CASCADE,
CONSTRAINT `fk_user` FOREIGN KEY (`author_id`) REFERENCES `user` (`id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=10181 DEFAULT CHARSET=utf8;
CREATE TABLE IF NOT EXISTS `feedback` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`content` varchar(255) NOT NULL,
`email` varchar(255) DEFAULT NULL,
`cellphone` varchar(255) DEFAULT NULL,
`created_date` datetime NOT NULL,
`modified_date` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE IF NOT EXISTS `report` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`bubble_id` bigint(20) NOT NULL,
`category` int(11) NOT NULL,
`content` varchar(255) DEFAULT NULL,
`created_date` datetime NOT NULL,
`modified_date` datetime NOT NULL,
PRIMARY KEY (`id`),
KEY `fk_bubble` (`bubble_id`),
CONSTRAINT `fk_bubble` FOREIGN KEY (`bubble_id`) REFERENCES `bubble` (`id`) ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
|
select (select distinct Salary from employee order by salary desc limit 1 offset 1) as SecondHighestSalary;
|
SELECT e.id,
e.name AS employeeName,
e.title AS title
FROM hr.employeesWithMissing AS e
WHERE e.title = 'Dev Mgr'
|
-- CreateTable
CREATE TABLE `Answer` (
`id` INTEGER NOT NULL AUTO_INCREMENT,
`question_id` INTEGER NOT NULL,
`option_id` INTEGER NOT NULL,
UNIQUE INDEX `Answer_question_id_key`(`question_id`),
UNIQUE INDEX `Answer_option_id_key`(`option_id`),
PRIMARY KEY (`id`)
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
-- AddForeignKey
ALTER TABLE `Answer` ADD CONSTRAINT `Answer_question_id_fkey` FOREIGN KEY (`question_id`) REFERENCES `Question`(`id`) ON DELETE RESTRICT ON UPDATE CASCADE;
-- AddForeignKey
ALTER TABLE `Answer` ADD CONSTRAINT `Answer_option_id_fkey` FOREIGN KEY (`option_id`) REFERENCES `Option`(`id`) ON DELETE RESTRICT ON UPDATE CASCADE;
|
-- MySQL dump 10.11
--
-- Host: localhost Database: wackopicko
-- ------------------------------------------------------
-- Server version 5.0.67-0ubuntu6
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
CREATE DATABASE IF NOT EXISTS `wackopicko`;
CREATE USER 'wackopicko'@'%' IDENTIFIED BY 'webvuln!@#';
GRANT USAGE ON * . * TO 'wackopicko'@'%' IDENTIFIED BY 'webvuln!@#' WITH MAX_QUERIES_PER_HOUR 0 MAX_CONNECTIONS_PER_HOUR 0 MAX_UPDATES_PER_HOUR 0 MAX_USER_CONNECTIONS 0 ;
GRANT SELECT , INSERT , UPDATE , DELETE , CREATE , DROP , INDEX , ALTER , CREATE TEMPORARY TABLES , CREATE VIEW , SHOW VIEW , CREATE ROUTINE, ALTER ROUTINE, EXECUTE ON `wackopicko` . * TO 'wackopicko'@'%';
--
-- Table structure for table `admin`
--
USE `wackopicko`;
DROP TABLE IF EXISTS `admin`;
SET @saved_cs_client = @@character_set_client;
SET character_set_client = utf8;
CREATE TABLE `admin` (
`id` int(10) unsigned NOT NULL auto_increment,
`login` varchar(50) NOT NULL,
`password` char(40) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=6 DEFAULT CHARSET=utf8;
SET character_set_client = @saved_cs_client;
--
-- Dumping data for table `admin`
--
LOCK TABLES `admin` WRITE;
/*!40000 ALTER TABLE `admin` DISABLE KEYS */;
INSERT INTO `admin` VALUES (1,'admin','d033e22ae348aeb5660fc2140aec35850c4da997'),(2,'adamd','c533607326f2b815a7c23701be52989dac8bdbb1'),(3,'admin','d033e22ae348aeb5660fc2140aec35850c4da997'),(4,'adam','0ace61762d02afdf98f793d98c37edf696b675b2'),(5,'bob','42a9037223cdbfe0c49ef0032f0a1f3392af3fe3');
/*!40000 ALTER TABLE `admin` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `admin_session`
--
DROP TABLE IF EXISTS `admin_session`;
SET @saved_cs_client = @@character_set_client;
SET character_set_client = utf8;
CREATE TABLE `admin_session` (
`id` int(11) NOT NULL auto_increment,
`admin_id` int(11) NOT NULL,
`created_on` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
SET character_set_client = @saved_cs_client;
--
-- Dumping data for table `admin_session`
--
LOCK TABLES `admin_session` WRITE;
/*!40000 ALTER TABLE `admin_session` DISABLE KEYS */;
INSERT INTO `admin_session` VALUES (2,1,'2009-01-21 17:41:59');
/*!40000 ALTER TABLE `admin_session` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `cart`
--
DROP TABLE IF EXISTS `cart`;
SET @saved_cs_client = @@character_set_client;
SET character_set_client = utf8;
CREATE TABLE `cart` (
`id` int(11) NOT NULL auto_increment,
`user_id` int(11) NOT NULL,
`created_on` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
SET character_set_client = @saved_cs_client;
--
-- Dumping data for table `cart`
--
LOCK TABLES `cart` WRITE;
/*!40000 ALTER TABLE `cart` DISABLE KEYS */;
/*!40000 ALTER TABLE `cart` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `cart_coupons`
--
DROP TABLE IF EXISTS `cart_coupons`;
SET @saved_cs_client = @@character_set_client;
SET character_set_client = utf8;
CREATE TABLE `cart_coupons` (
`cart_id` int(11) NOT NULL,
`coupon_id` int(11) NOT NULL,
KEY `cart_id` (`cart_id`,`coupon_id`)
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`id` int(11) NOT NULL auto_increment,
`cart_id` int(11) NOT NULL,
`picture_id` int(11) NOT NULL,
PRIMARY KEY (`id`)
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-- Table structure for table `comments`
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SET character_set_client = utf8;
CREATE TABLE `comments` (
`id` int(10) unsigned NOT NULL auto_increment,
`text` varchar(500) NOT NULL,
`user_id` int(11) NOT NULL,
`picture_id` int(11) NOT NULL,
`created_on` datetime NOT NULL,
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`id` int(11) NOT NULL auto_increment,
`text` varchar(500) NOT NULL,
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`orig_filename` varchar(255) NOT NULL,
`new_filename` varchar(255) NOT NULL,
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`id` int(11) NOT NULL auto_increment,
`code` varchar(10) NOT NULL,
`discount` int(11) NOT NULL,
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-- Table structure for table `guestbook`
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CREATE TABLE `guestbook` (
`id` int(11) NOT NULL auto_increment,
`name` varchar(100) NOT NULL,
`comment` varchar(500) NOT NULL,
`created_on` datetime NOT NULL,
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CREATE TABLE `pictures` (
`id` int(10) unsigned NOT NULL auto_increment,
`title` varchar(200) NOT NULL,
`width` int(11) NOT NULL,
`height` int(11) NOT NULL,
`tag` varchar(100) NOT NULL,
`filename` varchar(100) NOT NULL,
`price` int(11) NOT NULL,
`high_quality` varchar(250) NOT NULL,
`created_on` datetime NOT NULL,
`user_id` int(11) NOT NULL,
PRIMARY KEY (`id`)
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`id` int(10) unsigned NOT NULL auto_increment,
`login` varchar(50) NOT NULL,
`firstname` varchar(50) NOT NULL,
`lastname` varchar(200) NOT NULL,
`password` char(40) NOT NULL,
`salt` char(4) NOT NULL,
`tradebux` int(11) NOT NULL,
`created_on` datetime NOT NULL,
`last_login_on` datetime NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `login` (`login`)
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-- Dump completed on 2009-02-18 23:11:29
|
SELECT * FROM prop_addr_hist_stg where PROP_ADDR_ID = 3438
order by EVENT_DATE desc;
SELECT * FROM mls_prop_fact where PROP_ADDR_ID = 1062;
select * from prop_addr_fact where PROP_ADDR_ID = 1062;
select PROP_ADDR_ID, EVENT_DATE, MAX(PRICE) / MIN(PRICE) ratio
FROM prop_addr_hist_stg
group by PROP_ADDR_ID, EVENT_DATE
HAVING ratio > 2.0;
SELECT PROP_ADDR_ID, MAX(PRICE / PRICE_SQFT) / MIN(PRICE / PRICE_SQFT) ratio
FROM prop_addr_hist_stg
group by PROP_ADDR_ID
HAVING ratio > 5;
select * from prop_addr_hist_stg;
INSERT INTO prop_addr_hist (PROP_ADDR_ID, EVENT_DATE, EVENT_ID, PRICE, PRICE_SQFT)
SELECT PROP_ADDR_ID, EVENT_DATE, lkp.EVENT_ID, MAX(PRICE) PRICE, PRICE_SQFT
from prop_addr_hist_stg stg JOIN
event_type_lkp lkp ON stg.EVENT = lkp.EVENT
GROUP BY PROP_ADDR_ID, EVENT_DATE, lkp.EVENT_ID
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DELETE FROM areatrigger_scripts WHERE entry=4591;
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CREATE TABLE IF NOT EXISTS `ww_categories` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`ordering` int(11) NOT NULL,
`params` text COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=3 ;
INSERT INTO ww_categories (`id`, `title`, `ordering`, `params`) VALUES
(1, 'Foo', 1, ''),
(2, 'Bar', 2, '');
CREATE TABLE IF NOT EXISTS `ww_flower` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`catid` int(11) NOT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`meaning` text COLLATE utf8_unicode_ci NOT NULL,
`ordering` int(11) NOT NULL,
`state` tinyint(1) NOT NULL,
`params` text COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=86 ;
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(2, 2, 'Amaryllis', 'dramatic', 2, 0, ''),
(3, 1, 'Anemone', 'fragile', 3, 0, ''),
(4, 1, 'Apple Blossom', 'promis', 4, 1, ''),
(5, 2, 'Aster', 'contentment', 5, 1, ''),
(6, 2, 'Azalea', 'abundance', 6, 0, ''),
(7, 1, 'Baby''s Breath', 'festivity', 7, 1, ''),
(8, 2, 'Bachelor Button', 'anticipation', 8, 0, ''),
(9, 2, 'Begonia', 'deep thoughts', 9, 0, ''),
(10, 2, 'Black-Eyed Susan', 'encouragement', 10, 0, ''),
(11, 1, 'Camellia', 'graciousness', 11, 1, ''),
(12, 1, 'Carnation', '', 12, 1, ''),
(13, 1, 'pink', 'gratitude', 13, 1, ''),
(14, 1, 'red', 'flashy', 14, 1, ''),
(15, 1, 'striped', 'refusal', 15, 1, ''),
(16, 1, 'white', 'remembrance', 16, 1, ''),
(17, 1, 'yellow', 'cheerful', 17, 1, ''),
(18, 1, 'Chrysanthemum', '', 18, 0, ''),
(19, 2, 'bronze', 'excitement', 19, 1, ''),
(20, 1, 'white', 'truth', 20, 0, ''),
(21, 1, 'red', 'sharing', 21, 1, ''),
(22, 1, 'yellow', 'secret admirer', 22, 0, ''),
(23, 1, 'Cosmos', 'peaceful', 23, 0, ''),
(24, 1, 'Crocus', 'foresight', 24, 0, ''),
(25, 1, 'Daffodil', 'chivalry', 25, 1, ''),
(26, 2, 'Delphinium', 'boldness', 26, 0, ''),
(27, 2, 'Daisy', 'innocence', 27, 0, ''),
(28, 1, 'Freesia', 'spirited', 28, 0, ''),
(29, 2, 'Forget-Me-Not', 'remember me forever', 29, 1, ''),
(30, 2, 'Gardenia', 'joy', 30, 1, ''),
(31, 2, 'Geranium', 'comfort', 31, 1, ''),
(32, 2, 'Ginger', 'proud', 32, 1, ''),
(33, 2, 'Gladiolus', 'strength of character', 33, 0, ''),
(34, 1, 'Heather', 'solitude', 34, 1, ''),
(35, 2, 'Hibiscus', 'delicate beauty', 35, 0, ''),
(36, 1, 'Holly', 'domestic happiness', 36, 1, ''),
(37, 1, 'Hyacinth', 'sincerity', 37, 0, ''),
(38, 1, 'Hydrangea', 'perseverance', 38, 1, ''),
(39, 2, 'Iris', 'inspiration', 39, 0, ''),
(40, 1, 'Ivy', 'fidelity', 40, 0, ''),
(41, 1, 'Jasmine', 'grace and elegance', 41, 0, ''),
(42, 1, 'Larkspur', 'beautiful spirit', 42, 0, ''),
(43, 1, 'Lavender', 'distrust', 43, 0, ''),
(44, 1, 'Lilac', 'first love', 44, 1, ''),
(45, 1, 'Lily', '', 45, 0, ''),
(46, 1, 'Calla', 'regal', 46, 1, ''),
(47, 1, 'Casablanca', 'celebration', 47, 1, ''),
(48, 2, 'Day', 'enthusiasm', 48, 1, ''),
(49, 1, 'Stargazer', 'ambition', 49, 0, ''),
(50, 1, 'Lisianthus', 'calming', 50, 1, ''),
(51, 2, 'Magnolia', 'dignity', 51, 0, ''),
(52, 1, 'Marigold', 'desire for riches', 52, 0, ''),
(53, 1, 'Nasturtium', 'patriotism', 53, 0, ''),
(54, 2, 'Orange Blossom', 'fertility', 54, 1, ''),
(55, 1, 'Orchid', 'delicate beauty', 55, 0, ''),
(56, 2, 'Pansy', 'loving thoughts', 56, 0, ''),
(57, 1, 'Passion flower', 'passion', 57, 1, ''),
(58, 2, 'Peony', 'healing', 58, 1, ''),
(59, 2, 'Poppy', 'consolation', 59, 0, ''),
(60, 1, 'Queen Anne''s Lace', 'delicate femininity', 60, 0, ''),
(61, 1, 'Ranunculus', 'radiant', 61, 1, ''),
(62, 1, 'Rhododendron', 'beware', 62, 0, ''),
(63, 1, 'Rose', '', 63, 1, ''),
(64, 2, 'pink', 'admiration/appreciation', 64, 0, ''),
(65, 2, 'red', 'passionate love', 65, 1, ''),
(66, 1, 'red & white', 'unity', 66, 1, ''),
(67, 1, 'white', 'purity', 67, 1, ''),
(68, 1, 'yellow', 'friendship', 68, 1, ''),
(69, 2, 'Snapdragon', 'presumptuous', 69, 1, ''),
(70, 1, 'Star of Bethlehem', 'hope', 70, 1, ''),
(71, 1, 'Stephanotis', 'good luck', 71, 1, ''),
(72, 2, 'Statice', 'success', 72, 1, ''),
(73, 2, 'Sunflower', 'adoration', 73, 0, ''),
(74, 1, 'Sweetpea', 'shyness', 74, 1, ''),
(75, 2, 'Tuberose', 'pleasure', 75, 1, ''),
(76, 1, 'Tulip', '', 76, 1, ''),
(77, 2, 'pink', 'caring', 77, 1, ''),
(78, 1, 'purple', 'royalty', 78, 0, ''),
(79, 1, 'red', 'declaration of love', 79, 1, ''),
(80, 1, 'white', 'forgiveness', 80, 0, ''),
(81, 1, 'yellow', 'hopelessly in love', 81, 0, ''),
(82, 2, 'Violet', 'faithfulness', 82, 1, ''),
(83, 2, 'Wisteria', 'steadfast', 83, 0, ''),
(84, 1, 'Yarrow', 'good health', 84, 1, ''),
(85, 2, 'Zinnia', 'thoughts of friends', 85, 1, '');
CREATE TABLE `articles` (
`id` int(11) UNSIGNED NOT NULL COMMENT 'Primary Key',
`category_id` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT 'Category ID',
`title` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Title',
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`params` text COLLATE utf8mb4_unicode_ci NOT NULL COMMENT 'Params'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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(1, 2, 'Corrupti illum.', 'https://picsum.photos/800/600?image=618', 'Ullam aliquid et dignissimos explicabo modi quam. Autem esse non et ut non est nihil id. Maxime placeat quod in et est dolorem. Eum quasi quam delectus alias minus. In voluptatem quidem eum non voluptatem officia reiciendis commodi. Assumenda illo aut sunt ex commodi in reiciendis.', 1, '2009-05-14 17:45:24', 4, '{"show_title":true}'),
(2, 2, 'Ut occaecati consectetur.', 'https://picsum.photos/800/600?image=692', 'Ut in architecto cupiditate qui eligendi sequi cupiditate autem. Distinctio corrupti suscipit et sint atque quaerat. Molestiae tenetur aut nobis eius dolor id quasi incidunt. Laborum qui sint dolores molestiae deleniti quaerat. Alias deleniti beatae architecto aut voluptatem reprehenderit nisi fuga. Suscipit atque eius dolorem facere. Totam hic mollitia omnis et laboriosam.', 1, '1995-11-26 01:17:07', 2, ''),
(3, 2, 'Architecto modi aut.', 'https://picsum.photos/800/600?image=43', 'Qui sunt eaque minus aut. Sint at qui est ut. Est rem commodi et nostrum eos. Fuga eaque ut et veniam. Minus tempore quasi ut ut.', 1, '1977-06-29 16:15:18', 3, ''),
(4, 2, 'Beatae minus.', 'https://picsum.photos/800/600?image=461', 'Animi voluptatem qui ab eligendi officia eius. Qui repudiandae tenetur corrupti unde atque at. Qui ab vitae incidunt sed quidem omnis. Cupiditate est quae reprehenderit enim consequatur sit.', 0, '1971-02-28 03:39:32', 1, ''),
(5, 2, 'Aperiam at.', 'https://picsum.photos/800/600?image=943', 'Sunt nostrum praesentium qui beatae quia ut asperiores non. Velit aut voluptatem dolorem voluptates quia. Ducimus est et qui aut similique. Eos quidem et officiis iusto a aut ea. Ducimus rerum dolores facilis. Ut iste molestiae quis placeat. Possimus dolor perferendis ut est nulla hic omnis.', 1, '2003-11-03 04:17:58', 2, ''),
(6, 3, 'Enim officia unde.', 'https://picsum.photos/800/600?image=393', 'Et occaecati ipsa qui dolorem neque. Ea sed adipisci voluptatem. Error tenetur unde dolorem aliquid. Eveniet maiores aut numquam voluptatem. Ea nobis autem libero dolores reprehenderit minima voluptatem. Est minima architecto earum totam cum.', 1, '1993-12-22 09:57:17', 4, ''),
(7, 3, 'Labore qui asperiores.', 'https://picsum.photos/800/600?image=527', 'Dicta aut ex sed accusantium consequatur tempore. Ut sequi dicta cum eum fuga. Cumque quo repudiandae aut autem iusto quia aut culpa. Accusamus vitae vel quo ullam. Impedit debitis aut est quaerat sit. Eos ipsum deserunt labore aliquid quibusdam eos quos. Voluptatem nostrum earum et expedita quos aspernatur temporibus.', 0, '1976-11-08 17:40:13', 2, ''),
(8, 3, 'Quo reprehenderit voluptas.', 'https://picsum.photos/800/600?image=392', 'Recusandae culpa minima rerum harum numquam neque. Quod deserunt at quia fugit libero officiis. Mollitia voluptas dolor libero dignissimos. Ut sed cupiditate ut esse est consequatur. Omnis soluta dolores repudiandae dolor culpa. Nihil odit error quis esse qui recusandae.', 1, '2017-12-24 02:31:03', 2, ''),
(9, 3, 'Dolorem cum earum.', 'https://picsum.photos/800/600?image=90', 'Ut aliquam est eos nam. Quo consequatur possimus in delectus dicta. Quis minima ut et est reprehenderit. Et minus quidem accusantium omnis voluptatem tenetur. Accusantium culpa aperiam vel.', 1, '2008-08-02 16:37:57', 2, ''),
(10, 3, 'Ut excepturi et.', 'https://picsum.photos/800/600?image=1043', 'Eaque blanditiis iste eligendi consequatur veritatis non consequuntur saepe. Dolorum molestiae nihil iste. Debitis nobis ducimus itaque quidem quis necessitatibus et. Velit vel velit dolores blanditiis amet consequatur. Ut eos quo distinctio est.', 0, '2008-04-26 13:58:14', 2, ''),
(11, 4, 'Sit iusto.', 'https://picsum.photos/800/600?image=203', 'Autem accusantium distinctio sit exercitationem. Pariatur alias aut ut ut et nostrum. Quam ducimus eaque totam et. Ad et esse voluptates dolorum harum eum quidem quae. Nesciunt ut aut eligendi. Quo omnis repellendus necessitatibus saepe. Pariatur sit et similique.', 0, '2015-07-15 15:40:08', 3, ''),
(12, 4, 'Iste temporibus aut.', 'https://picsum.photos/800/600?image=300', 'Iste ut ut fuga hic aut numquam. Dolorum harum dicta nihil mollitia exercitationem placeat odio. In perspiciatis omnis quibusdam sint veritatis facere qui. Suscipit quam pariatur reiciendis quia tempore nostrum.', 1, '1994-05-18 15:13:35', 1, ''),
(13, 4, 'Atque nobis autem.', 'https://picsum.photos/800/600?image=493', 'Explicabo fugit ipsa quo quasi reiciendis assumenda mollitia. Quaerat inventore ipsum voluptatum alias est laboriosam iste. Voluptatem rerum voluptatem quam quas. Omnis unde qui consequatur voluptatibus sint magnam atque. Velit nihil quo corporis facere qui et ratione.', 1, '1985-12-03 17:44:15', 4, ''),
(14, 4, 'Autem corrupti sit.', 'https://picsum.photos/800/600?image=326', 'Et impedit officiis aut perferendis. Perspiciatis molestias natus reiciendis voluptates in. Voluptas ratione voluptas enim doloremque eveniet. Vitae nulla non aut.', 1, '1995-09-30 13:23:36', 4, ''),
(15, 4, 'Vel nisi est.', 'https://picsum.photos/800/600?image=53', 'Possimus asperiores voluptatem aut architecto at possimus. Magni non similique nostrum pariatur aliquam nobis. Dolor voluptatem praesentium tempora dolores suscipit. Consequuntur officiis sunt molestiae veritatis commodi aut aliquam.', 1, '1987-02-21 23:45:37', 2, '');
CREATE TABLE `comments` (
`id` int(11) UNSIGNED NOT NULL COMMENT 'Primary Key',
`target_id` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT 'Target ID',
`user_id` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT 'User ID',
`type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Type',
`content` text COLLATE utf8mb4_unicode_ci NOT NULL COMMENT 'Content',
`created` datetime NOT NULL DEFAULT '1000-01-01 00:00:00' COMMENT 'Created Date',
`created_by` int(11) UNSIGNED NOT NULL DEFAULT 0 COMMENT 'Author'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `comments` (`id`, `target_id`, `user_id`, `type`, `content`, `created`, `created_by`) VALUES
(1, 1, 1, 'article', 'Doloribus magnam quae et sunt. Cupiditate fugit laudantium possimus cupiditate vel. Perferendis qui natus eos corrupti. Aut voluptatibus quidem enim. Ut dolorum et et commodi incidunt minus magnam. Earum deserunt et dolore.', '2013-04-16 02:38:50', 2),
(2, 1, 1, 'article', 'At dolor dignissimos consequatur aperiam facilis numquam sit numquam. Beatae nam totam voluptatem distinctio quo corporis. Doloremque fugit ut vero rerum. Qui facilis at nesciunt ut.', '2009-03-28 16:28:10', 2),
(3, 1, 1, 'article', 'Praesentium est corporis dolores ipsum voluptas consectetur doloribus. Et nesciunt fuga quos dolorum. Molestiae sint vero voluptatem dolores repudiandae. Itaque quo aut ullam pariatur ea dolorum itaque. Facilis optio nisi sit nihil ea laborum. Aut qui consequatur animi velit unde repellendus. Sit delectus quis distinctio unde odio nobis sed aut.', '2000-08-27 03:39:10', 4),
(4, 2, 4, 'article', 'Atque ab delectus dolorum rerum suscipit rerum sed voluptatem. Reiciendis repudiandae ab voluptatem dolor libero dolor enim. Ipsa dolor voluptatum maxime et libero exercitationem sint. Rerum laboriosam alias explicabo sapiente. Iusto quis eius excepturi dolorem et. Quas velit deleniti atque hic expedita veritatis qui molestiae.', '1980-11-02 14:56:44', 3),
(5, 2, 3, 'article', 'Et quisquam sint aut qui soluta dolorum. Accusantium et at magni vero quod expedita totam beatae. Modi esse rem velit perspiciatis consequatur ut rerum qui. Placeat in aperiam aut atque assumenda. Sequi nihil deserunt repellendus et a amet pariatur. Ad odit maiores natus provident molestiae qui. Voluptas error unde eum.', '1971-02-21 08:48:22', 2),
(6, 2, 1, 'article', 'Facilis commodi qui quae magnam sit beatae ea. Autem quod nulla culpa excepturi et. Occaecati error pariatur inventore. Eos perferendis et optio debitis architecto quod in. Est et est quis facere ut facilis. Repudiandae eligendi laborum et sapiente nulla dolorem blanditiis.', '2015-05-20 13:35:24', 1),
(7, 3, 2, 'article', 'Dolore quia hic fugit reprehenderit autem. Quae voluptatum harum fugiat impedit voluptatem. Fugiat laudantium sit soluta. Odit laboriosam similique praesentium eaque repudiandae. Repellendus velit placeat est. Aperiam rerum libero est error.', '2004-10-04 03:52:48', 4),
(8, 3, 2, 'article', 'Explicabo repudiandae minima qui facere omnis illo illo corporis. Minus quidem eum reprehenderit aut quam voluptatum nostrum ad. Accusamus eligendi id veritatis. Sapiente voluptate impedit et qui ut est. Velit sed iure maxime similique expedita. Pariatur rerum non provident. Enim voluptate cum reiciendis excepturi omnis cupiditate culpa.', '2018-01-23 23:31:26', 4),
(9, 3, 4, 'article', 'Recusandae voluptatem provident voluptatem necessitatibus et illum dolores. Corrupti aspernatur debitis quia voluptatem nisi atque. Sit vitae et vel doloremque aut dolores rem. Cum quis amet ut magnam harum harum adipisci.', '2006-06-15 09:47:42', 2),
(10, 4, 2, 'article', 'Est qui eos omnis distinctio voluptates eaque ratione. Quasi dignissimos assumenda aspernatur delectus quis. Magnam itaque nihil quasi laudantium in ut. Earum quam itaque autem est temporibus. Enim perferendis officiis voluptate quas est.', '1998-01-01 06:28:25', 1),
(11, 4, 3, 'article', 'Debitis et blanditiis ipsam quo quisquam. Explicabo totam odio voluptate. Voluptate illo maiores iure autem. Reprehenderit a optio expedita pariatur velit necessitatibus distinctio. Explicabo omnis consequuntur dolorum voluptatem ipsa. Exercitationem laborum fugit quia nihil atque quaerat nobis eos.', '1997-01-26 18:55:02', 3),
(12, 4, 2, 'article', 'Sint repellendus esse non porro quod sunt amet et. Aut ipsum nihil explicabo sed molestiae excepturi. In excepturi ducimus molestiae fuga. Repellat corrupti nam temporibus ratione enim cumque voluptatem. Corporis repudiandae ut et facilis a. Doloribus magnam nemo magnam praesentium saepe ipsum quo quibusdam. Iure alias incidunt atque blanditiis beatae architecto adipisci itaque.', '1993-07-10 13:51:49', 2),
(13, 5, 1, 'article', 'Eligendi repudiandae quo sed et. Ducimus libero hic ut quos quia ducimus eum tempora. Doloribus aliquam libero doloribus modi at. Doloremque sint et a est eligendi consectetur dolores. Possimus qui ea eum. Qui praesentium ipsum temporibus. Corporis consequatur ipsa sed nesciunt.', '1993-07-19 23:54:58', 1),
(14, 5, 2, 'article', 'Voluptatibus repellendus autem rerum fugiat quas. Tenetur dolores est itaque rerum ab et inventore modi. Quia error aspernatur maxime nesciunt at. A mollitia laborum tempora a deleniti enim provident.', '2002-03-16 11:57:58', 4),
(15, 5, 2, 'article', 'Itaque debitis et natus modi. Qui dolores quis assumenda qui. Consequatur sint voluptatibus nobis. Voluptatem eos corrupti omnis dolores. Ut odit saepe aspernatur similique non sit. Quam qui beatae suscipit libero voluptatibus ducimus illum quisquam.', '1973-07-19 00:00:23', 4),
(16, 6, 1, 'article', 'Qui illum nisi quasi cumque labore rerum quae assumenda. Voluptatem fuga atque et omnis laboriosam mollitia. Qui aut aut ut voluptatibus aliquid ducimus modi accusamus. Eum dolor dolorem inventore ullam. Ratione voluptatibus odio distinctio eos ea ut. Voluptatem perferendis placeat qui sed deserunt. Deleniti asperiores repellendus ab eos veritatis ad voluptates rerum.', '1998-04-22 09:41:36', 3),
(17, 6, 1, 'article', 'Est rerum est quam quasi. Nulla dicta aut blanditiis et qui quidem. Hic voluptas voluptas unde impedit maiores. Voluptates ex eos sint. Aut voluptatem voluptatibus repellendus aliquam aut.', '1993-02-24 21:59:13', 1),
(18, 6, 2, 'article', 'Corrupti eum non nostrum officiis aliquam voluptatem adipisci. Id reprehenderit exercitationem quidem consequuntur ipsam. Corporis natus aut ipsa commodi velit laudantium vel. Sed sequi qui placeat aliquid dolorem repudiandae. Possimus consequuntur beatae quidem eos. Qui ut quae et aperiam est quia accusantium dolores.', '2008-11-02 23:07:42', 4),
(19, 7, 1, 'article', 'Quas aut nisi id ipsam. Quia omnis dolor quos aut ullam fugiat. Atque maxime ut magnam dolor itaque. Fugiat doloremque aperiam atque iusto rerum. Incidunt est rerum illo labore magni enim. Dolorum excepturi aut et ipsa blanditiis fuga voluptatibus.', '2010-08-28 22:59:14', 4),
(20, 7, 1, 'article', 'Consequatur est laudantium ratione. Culpa molestias et molestiae delectus. Ad odit quia nesciunt possimus velit. Doloribus sed omnis iusto occaecati saepe est dolor corporis. Veniam pariatur id reiciendis aut dolor est. Ex porro possimus eius quis quod.', '2013-03-05 13:30:03', 4),
(21, 7, 2, 'article', 'Nobis consequuntur voluptatibus non optio. Neque fugiat facere autem quaerat est ratione. Voluptate neque dolore deleniti doloribus voluptate facilis. Qui laboriosam unde soluta iste animi totam voluptatem. Et tenetur vitae perspiciatis ipsa quia alias. Recusandae voluptas in ipsum qui nobis. Dolorem in corporis voluptates aut et.', '1991-08-10 06:36:25', 2),
(22, 8, 4, 'article', 'Beatae ex provident est. Earum quod vitae temporibus est. Nam explicabo qui rerum necessitatibus. Voluptate corrupti earum quia nam. Maxime eligendi aperiam qui deserunt excepturi et in. Et facere magnam molestiae aspernatur nostrum.', '2020-02-28 09:49:03', 3),
(23, 8, 4, 'article', 'Sed sunt itaque alias. Illum eveniet nobis temporibus deleniti. Quod sit quae et inventore. Repellat nulla facere reprehenderit vel qui ad. Ea consequatur eos cupiditate soluta corrupti dolore.', '1994-12-27 14:33:03', 3),
(24, 8, 4, 'article', 'Itaque dolores repellendus voluptas sed impedit. Ut qui accusamus sed excepturi velit voluptatem. Harum magnam quae eos ut cum. Minima voluptate quia quia aliquid fugiat eligendi. Blanditiis aut et aut sunt vel laboriosam.', '1988-01-07 04:01:57', 1),
(25, 9, 4, 'article', 'Magni numquam nihil sint deleniti deserunt et. Similique eaque suscipit voluptatem sit animi et minus. Hic qui provident dolore modi dolorem quos unde. Facere id voluptate aperiam. Dolorem rerum rem quia sit pariatur. Rem et at ut sunt molestiae quaerat consequuntur et. Sunt nostrum quia voluptatem impedit asperiores.', '2009-09-30 22:16:27', 3),
(26, 9, 3, 'article', 'Quae rerum placeat asperiores aperiam optio. Beatae perspiciatis numquam corporis aut nihil ratione sapiente. Vel pariatur esse delectus aspernatur et nemo. Et et non consequatur perferendis et asperiores ullam. Explicabo similique enim cum dolore sapiente. Commodi doloribus qui aut similique vel iusto aut.', '2009-03-25 02:35:15', 1),
(27, 9, 3, 'article', 'Quaerat dolore et sed et voluptate. Ipsam labore quam natus aut sit eum consectetur aperiam. Quidem voluptatum veniam et in non ad delectus. Rem nihil et architecto unde itaque voluptatum qui. Facere rem itaque laboriosam ipsum maxime. Eum voluptatem ut ut molestiae eos et. Odio quaerat nulla rerum eos.', '1991-02-10 16:12:11', 4),
(28, 10, 3, 'article', 'Repudiandae perspiciatis ut incidunt voluptatum. Impedit quas et animi unde consequatur molestiae sint. Dolor facilis dolor ea eligendi officia qui. Itaque dolorum fuga accusantium quis. Rerum nisi consequatur corrupti eaque consequatur iusto dolores. Id dolores doloremque omnis ut blanditiis impedit quam.', '1972-06-30 20:46:51', 4),
(29, 10, 2, 'article', 'Commodi vel aut aut qui vel rerum quia. Illum animi natus et eum. Rerum et dignissimos distinctio aut mollitia dolorem eos in. Ipsa temporibus animi consectetur dicta. Magni et mollitia tempore cum. Illum ratione sapiente fuga vel eius molestiae.', '2015-02-21 19:18:31', 1),
(30, 10, 2, 'article', 'Accusamus saepe distinctio vel expedita impedit ab. Voluptatem suscipit et ex corrupti. Inventore ut porro repellat quo magni nesciunt. Aliquid enim modi labore qui error est. Cumque possimus aut corporis amet aperiam nam est. Veritatis quas fugiat aliquid qui consequatur ut. Est vel est deserunt aliquid quia dolores.', '2001-09-22 22:35:14', 1),
(31, 11, 4, 'article', 'Odit odio quia ea incidunt nihil totam sunt. Incidunt sit reprehenderit ut non corporis ad consectetur. Dolor repellendus odit asperiores. Beatae illum quis corrupti blanditiis magni possimus.', '1991-07-15 15:31:55', 3),
(32, 11, 3, 'article', 'Perspiciatis dignissimos occaecati ex occaecati fuga nobis. Nihil quae temporibus voluptatem. Odit ut et et inventore. Id quia minima voluptatibus sed. Quia rem rem labore et aut recusandae. Earum dolorum maiores ea cum officia eum quae et.', '2005-04-19 17:45:15', 1),
(33, 11, 2, 'article', 'Voluptate non beatae modi quo molestiae similique enim. Facere a velit repudiandae eum error voluptate. Dolores reprehenderit ducimus nesciunt nemo voluptas minima dolore. Quis quo aut quaerat.', '2015-11-25 17:25:41', 1),
(34, 12, 1, 'article', 'Expedita minima est non ea quis occaecati expedita. Soluta sunt nisi ab similique qui minus. Corrupti fuga quibusdam ea. Saepe deserunt maxime quas aperiam labore.', '2020-09-03 23:00:50', 3),
(35, 12, 2, 'article', 'Optio rerum voluptates quae placeat expedita aperiam eaque. Voluptate eaque est quidem omnis voluptas repudiandae dolor esse. Aut et et quas repudiandae. Blanditiis autem quis debitis sit itaque. Est porro sunt nulla sit perferendis dignissimos voluptatem.', '1971-10-21 15:14:38', 4),
(36, 12, 2, 'article', 'Eligendi et culpa molestiae magni maxime fugiat. Reiciendis labore qui reiciendis est nihil. Adipisci ut sunt pariatur odio fuga sit. Cupiditate aut nam harum sunt hic error aperiam autem. Sed iste recusandae qui delectus et at aut veniam. Earum ratione consectetur iste consequuntur quaerat.', '1977-06-05 07:16:51', 4),
(37, 13, 2, 'article', 'Soluta tempora molestias perspiciatis et similique voluptates qui. Sequi nesciunt omnis explicabo qui consequatur aliquam corporis nisi. Voluptatem minus nemo tempore in est est. Asperiores hic sunt eaque officia ullam. Nesciunt optio reiciendis tempore omnis repellat. Voluptas voluptate dicta totam repudiandae praesentium modi quia. Accusantium dolorem animi voluptatem nam autem adipisci quaerat.', '1981-10-30 09:49:55', 1),
(38, 13, 3, 'article', 'Nam ut maxime quia deleniti ut accusantium. Vel nostrum reiciendis quis. Non eos eius et similique rerum quidem quidem. Sit eum recusandae quam unde nobis quisquam esse. Consectetur ex excepturi debitis sed veniam est quam qui. Ut perspiciatis alias temporibus vel reiciendis vel.', '1971-01-13 02:02:57', 1),
(39, 13, 1, 'article', 'Ut sed excepturi incidunt ab unde voluptatem molestias ut. Velit consequatur voluptatem magnam aperiam eos. Veniam molestiae neque enim. Mollitia est perferendis aperiam nostrum ex.', '2018-08-09 08:20:17', 2),
(40, 14, 1, 'article', 'Voluptatem rerum sit animi voluptatem alias dolores rerum veritatis. Voluptates natus eius omnis ut in rerum et. Laudantium deleniti dolore reiciendis minus. Ratione est et omnis corporis et perferendis.', '2004-10-20 14:37:37', 3),
(41, 14, 1, 'article', 'Quia est sequi sit nisi iste nisi nam. Consequatur hic qui fugit inventore laborum. Dignissimos aperiam ducimus in eius autem. Quidem eos et necessitatibus hic qui. Voluptatem earum commodi enim aut. Sapiente eius magnam deserunt quia labore officia. Corporis veniam illo est quis voluptatem.', '1983-05-17 17:17:04', 4),
(42, 14, 2, 'article', 'Qui quia voluptatem consequatur provident. Velit ut cumque cumque quisquam quo totam nihil. Reiciendis ut corrupti et non porro. Omnis quis accusamus enim mollitia corporis ex est. Quia ea aut consequatur adipisci. Non amet aliquam harum minus est qui amet.', '1974-10-01 17:57:04', 3),
(43, 15, 4, 'article', 'Sit error sapiente rem qui accusamus excepturi voluptatem. Neque qui cum nihil expedita in repudiandae. Id beatae deleniti excepturi. Ipsum et deserunt sed provident inventore doloremque voluptas eius. Non magni quasi sed quia. Et qui nobis vitae architecto corrupti atque voluptates.', '1974-08-27 07:12:46', 3),
(44, 15, 2, 'article', 'Assumenda rerum esse nostrum amet. Itaque optio rerum vel ullam. Delectus dicta saepe sint consequuntur. Nobis sed velit incidunt blanditiis. Magnam blanditiis aut qui alias dolorem et maiores.', '1987-02-01 12:08:43', 2),
(45, 15, 3, 'article', 'Quo et reprehenderit alias debitis. Ullam eum repellendus repellat qui non pariatur iste. Odit molestiae magnam non delectus dolorum qui sed. Libero eum veritatis provident. Minus voluptas expedita est quas. Esse architecto nisi qui quisquam est. Omnis et ut ad consequuntur totam.', '2009-08-19 07:50:11', 2);
CREATE TABLE `users` (
`id` int(11) UNSIGNED NOT NULL COMMENT 'Primary Key',
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Full Name',
`username` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Login name',
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Email',
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Password',
`avatar` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT 'Avatar',
`registered` datetime NOT NULL DEFAULT '1000-01-01 00:00:00' COMMENT 'Register Time',
`params` text COLLATE utf8mb4_unicode_ci NOT NULL COMMENT 'Params'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `users` (`id`, `name`, `username`, `email`, `password`, `avatar`, `registered`, `params`) VALUES
(1, 'Simular', 'admin', 'test@simular.no', '$2y$10$Grpvuil3S6CLdzNUXjLq8ejctq3JZAnjWHxy2qISH4xbSWBXI39uy', 'https://avatars0.githubusercontent.com/u/13175487', '2020-02-25 21:20:29', ''),
(2, 'Nels Robel', 'rohan.stefan', 'vmohr@example.org', '$2y$10$wL/yzrNr5lSJJGym1XL0HOu6hi.QDOuU8uEqNhm46S9hKz7BKvB0y', 'https://i.pravatar.cc/600?u=16023ad83146845.88910210', '2020-10-26 11:37:50', ''),
(3, 'Diana Swaniawski', 'jannie.wuckert', 'clovis.berge@example.org', '$2y$10$wL/yzrNr5lSJJGym1XL0HOu6hi.QDOuU8uEqNhm46S9hKz7BKvB0y', 'https://i.pravatar.cc/600?u=26023ad83150355.41567515', '2021-01-13 18:19:53', ''),
(4, 'Warren Kessler', 'alyson40', 'nadia.shanahan@example.org', '$2y$10$wL/yzrNr5lSJJGym1XL0HOu6hi.QDOuU8uEqNhm46S9hKz7BKvB0y', 'https://i.pravatar.cc/600?u=36023ad83154c90.20043323', '2020-09-18 09:05:24', '');
ALTER TABLE `articles`
ADD PRIMARY KEY (`id`);
ALTER TABLE `comments`
ADD PRIMARY KEY (`id`);
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD KEY `idx_users_username` (`username`(150)),
ADD KEY `idx_users_email` (`email`(150));
ALTER TABLE `articles`
MODIFY `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'Primary Key', AUTO_INCREMENT=16;
ALTER TABLE `comments`
MODIFY `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'Primary Key', AUTO_INCREMENT=46;
ALTER TABLE `users`
MODIFY `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'Primary Key', AUTO_INCREMENT=5;
COMMIT;
|
CREATE TABLE [dbo].[NX 6-1-11 1] (
[TitleCode] VARCHAR (50) NULL,
[Title Name] VARCHAR (50) NULL,
[EffectiveDate] VARCHAR (50) NULL,
[NumSalarySteps] VARCHAR (50) NULL,
[BargainingCode] VARCHAR (50) NULL,
[Step] VARCHAR (50) NULL,
[Annual] VARCHAR (50) NULL,
[Montly] VARCHAR (50) NULL,
[Hourly] VARCHAR (50) NULL
);
|
DROP DATABASE IF EXISTS mtg;
CREATE DATABASE mtg;
\c mtg;
DROP TABLE IF EXISTS users CASCADE;
CREATE TABLE users(
user_id SERIAL,
username TEXT NOT NULL,
password TEXT NOT NULL,
PRIMARY KEY(user_id)
);
INSERT INTO users (user_id,username,password) VALUES (2,'dan','$2b$12$36EKImw626h4xG/DHEU4QeTklFoXWB.RMXv9SBEvYPE4UrlUX0Equ');
INSERT INTO users (user_id,username,password) VALUES (3,'Alex','$2b$12$itK2aMPdXT20hMCyJNcqo.nimwNbQy6dn64JNWXO4xi4pnfVPurJa');
INSERT INTO users (user_id,username,password) VALUES (8,'test','$2b$12$dgJN3Hxu7FrBCzePRvdKGO.xwRb7SkE2B.K/erE4xDDslYPn1Pf6i');
DROP TABLE IF EXISTS deck CASCADE;
CREATE TABLE deck(
deck_id SERIAL,
name TEXT NOT NULL,
user_id INT NOT NULL,
FOREIGN KEY (user_id) REFERENCES users(user_id),
PRIMARY KEY(deck_id)
);
INSERT INTO deck (deck_id,name,user_id) VALUES (1,'My First Deck',2);
INSERT INTO deck (deck_id,name,user_id) VALUES (4,'My Second Deck',2);
DROP TABLE IF EXISTS deck_card CASCADE;
CREATE TABLE deck_card(
card_id SERIAL,
deck_id INT NOT NULL,
api_id INT NOT NULL,
card_name TEXT NOT NULL,
image_url TEXT NOT NULL,
FOREIGN KEY(deck_id) REFERENCES deck(deck_id)
);
INSERT INTO deck_card (card_id,deck_id,api_id,card_name,image_url) VALUES (2,1,1234,'Water Elemental','http://gatherer.wizards.com/Handlers/Image.ashx?multiverseid=1234&type=card');
INSERT INTO deck_card (card_id,deck_id,api_id,card_name,image_url) VALUES (3,1,5678,'Intrepid Hero','http://gatherer.wizards.com/Handlers/Image.ashx?multiverseid=5678&type=card');
DROP TABLE IF EXISTS rating CASCADE;
CREATE TABLE rating(
rating_id SERIAL,
deck_id INT NOT NULL,
score INT NOT NULL,
FOREIGN KEY(deck_id) REFERENCES deck(deck_id)
);
|
-- 1. Read the notes about this table.
-- Observe the result of running this SQL command to show the
-- name, continent and population of all countries.
SELECT name, continent, population FROM world;
-- 2. How to use WHERE to filter records.
-- Show the name for the countries that have a population of
-- at least 200 million. 200 million is 200000000, there are eight zeros.
SELECT name FROM world WHERE population >= 200000000;
-- 3. Give the name and the per capita GDP for those countries
-- with a population of at least 200 million.
SELECT name, gdp/population FROM world WHERE population >= 200000000;
-- 4. Show the name and population in millions for the countries of
-- the continent 'South America'.
-- Divide the population by 1000000 to get population in millions.
SELECT name, population/1000000 FROM world WHERE continent='South America';
-- 5. Show the name and population for France, Germany, Italy.
SELECT name, population FROM world WHERE name in ('France', 'Germany', 'Italy')
-- 6. Show the countries which have a name that includes the word 'United'.
SELECT name FROM world WHERE name LIKE '%United%';
-- 7. Two ways to be big: A country is big if it has an area of more than
-- 3 million sq km or it has a population of more than 250 million.
-- Show the countries that are big by area or big by population.
-- Show name, population and area.
SELECT name, population, area FROM world
WHERE area >= 3000000 OR population > 250000000;
-- 8. Exclusive OR (XOR). Show the countries that are big by area (more than 3 million)
-- or big by population (more than 250 million) but not both. Show name, population and area.
SELECT name, population, area FROM world
WHERE area >= 3000000 XOR population > 250000000;
-- 9. Show the name and population in millions and the GDP in billions
-- for the countries of the continent 'South America'.
-- Use the ROUND function to show the values to two decimal places.
SELECT name, round(population/1000000, 2), round(gdp/1000000000, 2)
FROM world WHERE continent='South America';
-- 10. Show the name and per-capita GDP for those countries with a GDP of at least
-- one trillion (1000000000000; that is 12 zeros). Round this value to the nearest 1000.
SELECT name, round(gdp/population, -3)
FROM world WHERE gdp >= 1000000000000;
-- 11. Greece has capital Athens.
-- Each of the strings 'Greece', and 'Athens' has 6 characters.
-- Show the name and capital where the name and the capital have the same number of characters.
SELECT name, capital FROM world WHERE LENGTH(name)=LENGTH(capital);
-- 12. The capital of Sweden is Stockholm. Both words start with the letter 'S'.
-- Show the name and the capital where the first letters of each match.
--Don't include countries where the name and the capital are the same word.
SELECT name, capital FROM world
WHERE LEFT(name,1)=LEFT(capital,1) AND name<>capital;
-- 13. Equatorial Guinea and Dominican Republic have all of the vowels (a e i o u) in the name.
-- They don't count because they have more than one word in the name.
-- Find the country that has all the vowels and no spaces in its name.
SELECT name FROM world WHERE name LIKE '%a%' AND name LIKE '%e%'
AND name LIKE '%i%' AND name LIKE '%o%'
AND name LIKE '%u%' AND name NOT LIKE '% %';
|
-- 创建数据表
CREATE TABLE IF NOT EXISTS "T_status" (
"userId" text NOT NULL,
"statusId" integer NOT NULL,
"status" text,
"createTime" TEXT DEFAULT (datetime('now', 'localtime')),
PRIMARY KEY("userId","statusId")
);
|
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