blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 3 276 | src_encoding stringclasses 33
values | length_bytes int64 23 9.61M | score float64 2.52 5.28 | int_score int64 3 5 | detected_licenses listlengths 0 44 | license_type stringclasses 2
values | text stringlengths 23 9.43M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
10511c9def3ba54690b1f50ad5ccb4882942b1cd | SQL | drzazga888/s-r-a-c-z | /sql/op_sum_by_user.sql | UTF-8 | 158 | 3.4375 | 3 | [] | no_license | select
op.user_id,
sum(op.part * tr.cost) as kasa
from
operation op
join transaction tr on op.transaction_id = tr.id
group by
op.user_id
; | true |
a0864cd8dcf3c830ced44ba4add940e647cb3fdc | SQL | gobu-github/TP_INTEGRADOR_CRUD | /script_bbdd/bbdd_crud_v3.sql | UTF-8 | 1,267 | 3.5 | 4 | [] | no_license | -- DROP DATABASE IF EXISTS crud_v3;
-- Creacion de la base de datos (crud_bbdd)
CREATE DATABASE crud_v3;
USE crud_v3;
-- Creacion de la tabla usuarios (crud_bbdd)
CREATE TABLE usu_usuarios (
usu_id int(10) unsigned NOT NULL AUTO_INCREMENT,
usu_usuario varchar(45) NOT NULL,
usu_clave varchar(255) NOT NULL,
usu_nombre varchar(200) NOT NULL,
usu_apellido varchar(200) NOT NULL,
PRIMARY KEY (usu_id),
UNIQUE KEY usu_usuario (usu_usuario)
) ENGINE=InnoDB;
-- Insertamos un usuario: nombre de usuario: ejemplo - Clave: 1234 (encriptada)
INSERT INTO usu_usuarios (usu_usuario, usu_clave, usu_nombre, usu_apellido)
VALUES ('ejemplo','$2y$10$MKEZOE1o/HEE2KAgDMBkq.j6kjw0tiu.FGMSKLdi9wU8MMDQIlpFO','Fulano','de Tal');
-- Creacion de la tabla alumno
CREATE TABLE alu_alumnos (
alu_id int(11) NOT NULL AUTO_INCREMENT,
usu_id int(11) unsigned NOT NULL,
alu_dni int(11) NOT NULL,
alu_nombres varchar(20) NOT NULL,
alu_apellidos varchar(30) NOT NULL,
alu_nota int(2) NOT NULL,
PRIMARY KEY (alu_id),
FOREIGN KEY (usu_id) REFERENCES usu_usuarios (usu_id)
)ENGINE=InnoDB;
-- Insertamos un alumno
INSERT INTO alu_alumnos (usu_id, alu_dni, alu_nombres, alu_apellidos, alu_nota) VALUES
('1','30112308', 'Hernán', 'Gobulin', '10'); | true |
c50520b0a13ca5dd4a979f25e74c1552b81e26c8 | SQL | MBTemple/TimeCapsule-public | /TimeCapsule/sql/markers.sql | UTF-8 | 2,521 | 2.984375 | 3 | [
"Apache-2.0"
] | permissive | -- MySQL dump 10.13 Distrib 5.7.29, for Linux (x86_64)
--
-- Host: cis-linux2.temple.edu Database: SP20_4398_tug60038
-- ------------------------------------------------------
-- Server version 5.5.62-0ubuntu0.14.04.1
/*!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 */;
--
-- Table structure for table `Users`
--
--
DROP TABLE IF EXISTS `markers`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `markers` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(60) NOT NULL,
`address` varchar(80) NOT NULL,
`latitude` double(10,6) NOT NULL,
`longitude` double(10,6) NOT NULL,
`description` varchar(250) NOT NULL,
`imageDate` datetime DEFAULT NULL,
`timeSubmitted` timestamp NULL DEFAULT NULL,
`imagePath` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=latin1 COMMENT='contains information about google map markers';
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `markers`
--
LOCK TABLES `markers` WRITE;
/*!40000 ALTER TABLE `markers` DISABLE KEYS */;
INSERT INTO `markers` VALUES (1,'Temple U','Temple University',39.980594,-75.155738,'Temple University description','2020-05-14 00:00:00','2020-03-05 10:01:01',NULL),(2,'Temple U','Temple University',39.980594,-75.155738,'Temple University description','2020-05-20 00:00:00','2020-03-05 10:35:07','');
/*!40000 ALTER TABLE `markers` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!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 */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2020-05-03 18:11:01
| true |
8be7a33bb1f2e793540e5021f279a5684315e200 | SQL | Santhoshg9793/Spring-Boot-Microservices | /employee-service/src/main/resources/data.sql | UTF-8 | 435 | 3.203125 | 3 | [] | no_license | DROP TABLE EMPLOYEE;
DROP SEQUENCE EMPLOYEE_SEQ;
CREATE TABLE EMPLOYEE(EMP_ID int NOT NULL PRIMARY KEY,FIRST_NAME varchar(50),LAST_NAME varchar(50),DOJ DATE);
CREATE SEQUENCE EMPLOYEE_SEQ Start with 1 increment by 1;
DELETE FROM EMPLOYEE;
INSERT INTO EMPLOYEE (EMP_ID,FIRST_NAME,LAST_NAME,DOJ) VALUES
(1,'Santhosh','G',current_date());
INSERT INTO EMPLOYEE (EMP_ID,FIRST_NAME,LAST_NAME,DOJ) VALUES
(2,'JOHN','G',current_date()); | true |
441d878e62fd4795e32b8a4617ce95e47899b5af | SQL | liyijun123/multi-table-query-2019-5-21-3-10-2-585 | /select.sql | UTF-8 | 1,808 | 4.6875 | 5 | [] | no_license | # 1.查询同时存在1课程和2课程的情况
SELECT *
FROM student a, student_course b
WHERE a.id = B.STUDENTID AND B.COURSEID IN ('1', '2');
# 2.查询同时存在1课程和2课程的情况
SELECT *
FROM student a, student_course b
WHERE a.id = B.STUDENTID AND B.COURSEID IN ('1', '2');
# 3.查询平均成绩大于等于60分的同学的学生编号和学生姓名和平均成绩
SELECT a.id, a.name ,CAST(AVG(b.score) AS DECIMAL(10,2)) course_score
FROM student a, student_course b
WHERE A.ID = B.STUDENTID
group BY A.ID,a.`name`
HAVING AVG(b.score)>=60
order by a.id
# 4.查询在student_course表中不存在成绩的学生信息的SQL语句
SELECT *
FROM student a LEFT JOIN student_course b ON A.ID = B.STUDENTID
WHERE B.STUDENTID IS NULL;
# 5.查询所有有成绩的SQL
SELECT *
FROM student a, student_course b
WHERE A.ID = B.STUDENTID;
# 6.查询学过编号为1并且也学过编号为2的课程的同学的信息
SELECT a.*
FROM student a,
student_course b
INNER JOIN student_course c ON B.STUDENTID = C.STUDENTID
WHERE A.ID = B.STUDENTID AND b.COURSEID = '1' AND c.COURSEID = '2';
# 7.检索1课程分数小于60，按分数降序排列的学生信息
SELECT *
FROM student a, student_course b
WHERE A.ID = B.STUDENTID AND (B.COURSEID = '1' AND B.SCORE <= 60)
ORDER BY B.SCORE;
# 8.查询每门课程的平均成绩，结果按平均成绩降序排列，平均成绩相同时，按课程编号升序排列
SELECT A.NAME, A.ID, AVG (SCORE) AS pingjun
FROM course a, student_course b
WHERE A.ID = B.COURSEID
GROUP BY a.id, A.NAME
ORDER BY pingjun;
# 9.查询课程名称为"数学"，且分数低于60的学生姓名和分数
SELECT a.name, B.SCORE
FROM student a, student_course b
WHERE A.ID = B.STUDENTID AND B.COURSEID = '2' AND B.SCORE < 60;
| true |
32e96aef70fa0fd0ed360ce9626fc17cb46043ae | SQL | kincoom1/kincoom_ | /src/main/resources/schema.sql | UTF-8 | 544 | 3.28125 | 3 | [] | no_license | create table send_request
(id bigint not null auto_increment,
create_date datetime,
person bigint,
room varchar(255),
send_user bigint,
token varchar(3) not null,
total_money bigint,
primary key (id),
index(token));
create table send_detail
(id bigint not null auto_increment,
receive_date datetime,
receive_money bigint,
receive_user varchar(255),
state integer not null,
send_request_id bigint,
primary key (id));
alter table send_detail
add constraint FKeyn2o0519cfc5awpsekh7xq74
foreign key (send_request_id) references send_request (id); | true |
a4e2b40c8d1babcf750aae3a20e2f0e7767de0af | SQL | CUBRID/cubrid-testcases | /sql/_23_apricot_qa/_03_i18n/tr_TR/_10_cast_op/cases/003.sql | UTF-8 | 2,266 | 2.828125 | 3 | [
"BSD-3-Clause"
] | permissive | --+ holdcas on;
set names utf8;
set system parameters 'intl_number_lang = tr_TR';
set system parameters 'intl_date_lang = tr_TR';
create class func_03(
datetimetest DATETIME,
datetest date,
timetest time,
timestamptest timestamp
);
insert into func_03 values (DATETIME '2011-05-01 PAZAR 10:11:12.678', DATE '2011-05-01 PAZAR', TIME '10:11:12 AM', TIMESTAMP '2011-05-01 PAZAR 10:11:12');
insert into func_03 values (null,null,null);
--test
select timetest from func_03 order by 1;
--test
select cast(timetest as string) from func_03 order by 1;
--test
select cast(timetest as varchar(25)) from func_03 order by 1;
--test
select cast(timetest as char(25)) from func_03 order by 1;
--test
select cast(timetest as date) from func_03 order by 1;
--test
select cast(timetest as time) from func_03 order by 1;
--test
select cast(timetest as timestamp) from func_03 order by 1;
--test
select cast(timetest as nchar(25)) from func_03 order by 1;
--test
select cast(timetest as nchar varying(25)) from func_03 order by 1;
--test
select cast(set{timetest} as set of timestamp) from func_03 order by 1;
--test
select cast(multiset{timetest} as multiset of timestamp) from func_03 order by 1;
--test
select cast(list{timetest} as list of timestamp) from func_03 order by 1;
--test
select cast(timetest as char(8)) from func_03 order by 1;
--test
select cast(timetest as int) from func_03 order by 1;
--test
select cast(timetest as smallint) from func_03 order by 1;
--test
select cast(timetest as numeric(38,10)) from func_03 order by 1;
--test
select cast(timetest as float) from func_03 order by 1;
--test
select cast(timetest as double) from func_03 order by 1;
--test
select cast(timetest as monetary) from func_03 order by 1;
--test
select cast(timetest as bit(80)) from func_03 order by 1;
--test
select cast(timetest as bit varying(80)) from func_03 order by 1;
--test
select cast(timetest as set of string) from func_03 order by 1;
--test
select cast(timetest as multiset of string) from func_03 order by 1;
--test
select cast(timetest as list of string) from func_03 order by 1;
drop table func_03;
set system parameters 'intl_date_lang = en_US';
set system parameters 'intl_number_lang = en_US';
set names iso88591;
commit;
--+ holdcas off;
| true |
199ba05fcdf360ab3ed5839b1814c53333f5269e | SQL | Paz1506/VotingSystem | /src/main/resources/database/populate.sql | UTF-8 | 1,493 | 3.484375 | 3 | [] | no_license | DELETE FROM dish;
DELETE FROM menu;
DELETE FROM role;
DELETE FROM vote;
DELETE FROM users;
DELETE FROM restaurant;
ALTER SEQUENCE GLOBAL_SEQUENCE
RESTART WITH 10000;
INSERT INTO restaurant (id, name) VALUES
(1, 'Restaurant_1'),
(2, 'Restaurant_2'),
(3, 'Restaurant_3'),
(4, 'Restaurant_4'); --For test findAllRestaurantByCurrentDayWithMenu()
INSERT INTO menu (id, name, date, restaurant_id) VALUES
(5, 'menu_1', now(), 1),
(6, 'menu_2', now(), 1),
(7, 'menu_3', now(), 2),
(8, 'menu_4', now(), 2),
(9, 'menu_5', now(), 3),
(10, 'menu_6', now(), 3),
(11, 'menu_7', '2018-05-19 10:00:00', 4); --For test findAllRestaurantByCurrentDayWithMenu()
INSERT INTO dish (id, name, price, menu_id) VALUES
(12, 'dish_1', 1000, 5),
(13, 'dish_2', 1500, 6),
(14, 'dish_3', 2000, 7),
(15, 'dish_4', 2500, 8),
(16, 'dish_5', 3000, 9),
(17, 'dish_6', 3500, 10),
(18, 'dish_7', 4000, 11); --For test getDishesOfMenuByCurrentDay()
INSERT INTO users (id, name, email, password) VALUES
(19, 'User', 'user@yandex.ru', '1234'),
(20, 'Admin', 'admin@gmail.com', '1234'),
(21, 'User2', 'user2@yandex.ru', '1234'),
(22, 'User3', 'user3@yandex.ru', '1234');
INSERT INTO role (user_id, role) VALUES
(19, 'ROLE_USER'),
(20, 'ROLE_ADMIN'),
(21, 'ROLE_USER'),
(22, 'ROLE_USER');
INSERT INTO vote (id, date_time, user_id, restaurant_id) VALUES
(23, '2018-05-19 10:00:00', 19, 1),
(24, '2018-05-22 10:00:00', 19, 2),
(25, '2018-05-21 10:01:00', 19, 2),
(26, now(), 19, 3);
| true |
881c6119b02357e368cae4a1c21897ed27607898 | SQL | brookjy/storage | /svacation.sql | UTF-8 | 18,797 | 3.0625 | 3 | [
"MIT"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.5.4.1deb2ubuntu2
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Mar 10, 2018 at 04:20 AM
-- Server version: 5.7.21-0ubuntu0.16.04.1
-- PHP Version: 7.0.22-0ubuntu0.16.04.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
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: `svacation`
--
-- --------------------------------------------------------
--
-- Table structure for table `address`
--
CREATE TABLE `address` (
`aid` int(10) NOT NULL,
`address` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`type` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`lat` float NOT NULL,
`lng` float NOT NULL,
`update_at` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `address`
--
INSERT INTO `address` (`aid`, `address`, `type`, `lat`, `lng`, `update_at`) VALUES
(1, 'RIVA 517-7008 River Rd', 'apt', 49.1705, -123.157, '2018-01-30'),
(2, 'Mandarin 767-6288 No.3 Rd', 'apt', 49.22, -123.222, '2018-01-30'),
(3, '9320 Gormond Rd Richmond V7E1N5', 'apt', 49.1446, -123.187, '2018-03-02');
-- --------------------------------------------------------
--
-- Table structure for table `addresscoordinate`
--
CREATE TABLE `addresscoordinate` (
`aid` int(5) NOT NULL,
`address` varchar(64) NOT NULL,
`coordinate` varchar(64) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `addresscoordinate`
--
INSERT INTO `addresscoordinate` (`aid`, `address`, `coordinate`) VALUES
(1, '9320 Gormond Rd Richmond V7E1N5', '{lat: 49.1446514, lng: -123.1871603}'),
(11, 'Ora 602-6200 River Rd', '{lat: 40.2749927, lng: -111.6709053}'),
(12, '6200 River Rd', '{lat: 39.0940505, lng: -84.6869927}'),
(13, '6951 Hollybridge Way', '{lat: 49.1734288, lng: -123.148336}'),
(14, '3331 Bourmond Ave Richmond V7E1A1', '{lat: 49.147778, lng: -123.190864}'),
(15, '3400 Raymond Ave Richmond V7E1A9', '{lat: 49.145671, lng: -123.186885}');
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`aid` int(5) NOT NULL,
`username` varchar(32) NOT NULL,
`password` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`permission` varchar(32) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`aid`, `username`, `password`, `permission`) VALUES
(2, 'brook', 'b79624284645b7cba19d76a417e493fe9e767745d4313fdfc35107c92a5db909', '1/2/3/4/5/6/7/8/9/10'),
(3, 'Chuck', 'cff3e7ca36573093f97c89acc9d314c96450fb7c35c0bd0d5226ed513c7b5b9e', '1/2/3/4/5/6/7/8/9/10'),
(4, 'Todd', 'cff3e7ca36573093f97c89acc9d314c96450fb7c35c0bd0d5226ed513c7b5b9e', '1/2/3/4/5/6/7/8/9'),
(5, 'Carmond', 'cff3e7ca36573093f97c89acc9d314c96450fb7c35c0bd0d5226ed513c7b5b9e', '1/2/3/4/5/6/7/8/9'),
(6, 'Liulaoshi', 'cff3e7ca36573093f97c89acc9d314c96450fb7c35c0bd0d5226ed513c7b5b9e', '1/2/3/4/5/6/7/8/9');
-- --------------------------------------------------------
--
-- Table structure for table `flight_service`
--
CREATE TABLE `flight_service` (
`fid` int(50) NOT NULL,
`serviceToken` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`user` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`time` datetime NOT NULL,
`numCars` int(3) NOT NULL,
`num_ppl` int(5) DEFAULT NULL,
`packages` int(5) DEFAULT NULL,
`additionalNote` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `flight_service`
--
INSERT INTO `flight_service` (`fid`, `serviceToken`, `user`, `time`, `numCars`, `num_ppl`, `packages`, `additionalNote`) VALUES
(5, '19247', '26yshO', '2018-03-06 20:00:00', 1, 1, 1, '测试'),
(6, '89693', 'tCKOvy', '2018-03-11 18:58:00', 1, 1, 2, '陈逵，电话13840454345');
-- --------------------------------------------------------
--
-- Table structure for table `food_service`
--
CREATE TABLE `food_service` (
`sid` int(10) NOT NULL,
`user` varchar(10) COLLATE utf8_bin NOT NULL,
`serviceToken` varchar(10) COLLATE utf8_bin NOT NULL,
`serviceType` varchar(5) COLLATE utf8_bin NOT NULL,
`startDate` date DEFAULT NULL,
`startTime` varchar(5) COLLATE utf8_bin DEFAULT NULL,
`endDate` date DEFAULT NULL,
`endTime` varchar(5) COLLATE utf8_bin DEFAULT NULL,
`num_ppl` int(3) DEFAULT NULL,
`createdAt` datetime NOT NULL,
`display` int(10) NOT NULL DEFAULT '1',
`finish` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `food_service`
--
INSERT INTO `food_service` (`sid`, `user`, `serviceToken`, `serviceType`, `startDate`, `startTime`, `endDate`, `endTime`, `num_ppl`, `createdAt`, `display`, `finish`) VALUES
(29, 'iLOQwq', '84167 ', '孕妈待产餐', '2018-02-01', '早', '2018-04-30', '早', NULL, '2018-03-05 17:20:04', 1, NULL),
(30, 'sKm8LU', '21537 ', '孕妈待产餐', '2018-03-07', '早', '2018-03-09', '早', NULL, '2018-03-05 17:24:16', 1, NULL),
(31, '26yshO', '18962 ', '孕妈月子餐', '2018-03-06', '早', '2018-03-14', '早', NULL, '2018-03-05 20:00:38', 1, NULL),
(32, '26yshO', '58964 ', '孕妈待产餐', '2018-03-06', '中', '2018-03-21', '早', NULL, '2018-03-05 20:00:50', 1, NULL),
(33, '26yshO', '92031 ', '待产餐', '2018-03-06', '晚', '2018-03-28', '早', 1, '2018-03-05 20:01:00', 1, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `history`
--
CREATE TABLE `history` (
`hid` int(10) NOT NULL,
`token` varchar(10) COLLATE utf8_bin NOT NULL,
`serviceType` varchar(10) COLLATE utf8_bin NOT NULL,
`user_id` varchar(10) COLLATE utf8_bin NOT NULL,
`time` datetime NOT NULL,
`activate` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `history`
--
INSERT INTO `history` (`hid`, `token`, `serviceType`, `user_id`, `time`, `activate`) VALUES
(59, '41879', '医疗接送', 'tCKOvy', '2018-03-05 00:00:00', NULL),
(61, '84167', '孕妈待产餐', 'iLOQwq', '2018-03-05 17:20:04', NULL),
(62, '21537', '孕妈待产餐', 'sKm8LU', '2018-03-05 17:24:16', NULL),
(63, '18962', '孕妈月子餐', '26yshO', '2018-03-05 20:00:38', NULL),
(64, '58964', '孕妈待产餐', '26yshO', '2018-03-05 20:00:50', NULL),
(65, '92031', '待产餐', '26yshO', '2018-03-05 20:01:00', NULL),
(66, '66836', '医疗接送', '26yshO', '2018-03-05 00:00:00', NULL),
(67, '94500', '采购服务', '26yshO', '2018-03-05 20:03:18', NULL),
(68, '56326', '住房维修', '26yshO', '2018-03-05 20:03:44', NULL),
(69, '34561', '接送服务', '26yshO', '2018-03-05 00:00:00', NULL),
(70, '91237', '孕产服务', '26yshO', '2018-03-05 00:00:00', NULL),
(71, '19247', '接机送机', '26yshO', '2018-03-05 00:00:00', NULL),
(72, '89693', '接机送机', 'tCKOvy', '2018-03-06 00:00:00', NULL),
(73, '97544', '接送服务', 'tCKOvy', '2018-03-07 00:00:00', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `housekeeping_service`
--
CREATE TABLE `housekeeping_service` (
`hid` int(100) NOT NULL,
`user` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`serviceToken` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`time` date NOT NULL,
`accompany` int(2) NOT NULL,
`maid` int(2) NOT NULL,
`additionalNote` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`finish` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `housekeeping_service`
--
INSERT INTO `housekeeping_service` (`hid`, `user`, `serviceToken`, `time`, `accompany`, `maid`, `additionalNote`, `finish`) VALUES
(2, '26yshO', '91237 ', '2018-04-11', 1, 0, '测试', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `medical_service`
--
CREATE TABLE `medical_service` (
`sid` int(100) NOT NULL,
`user` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`serviceToken` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`medicalServiceType` text CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`time` datetime NOT NULL,
`additional` text CHARACTER SET utf8 COLLATE utf8_bin,
`finish` int(2) DEFAULT NULL,
`times` int(5) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `medical_service`
--
INSERT INTO `medical_service` (`sid`, `user`, `serviceToken`, `medicalServiceType`, `time`, `additional`, `finish`, `times`) VALUES
(10, 'tCKOvy', '41879 ', '王医生', '2018-03-06 10:00:00', '', NULL, NULL),
(11, '26yshO', '66836 ', 'B超', '2018-03-06 20:00:00', '', NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `pickup_service`
--
CREATE TABLE `pickup_service` (
`pid` int(100) NOT NULL,
`user` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`serviceToken` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`date` date NOT NULL,
`time` varchar(20) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`departure` varchar(20) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`destination` varchar(20) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`num_ppl` int(2) DEFAULT NULL,
`additional` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`finish` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `pickup_service`
--
INSERT INTO `pickup_service` (`pid`, `user`, `serviceToken`, `date`, `time`, `departure`, `destination`, `num_ppl`, `additional`, `finish`) VALUES
(4, '26yshO', '34561 ', '2018-03-07', '1:00PM - 1:30PM', '家', '沃尔玛', 1, '', NULL),
(5, 'tCKOvy', '97544 ', '2018-03-12', '10:00AM - 11:30AM', '家', '奥特莱斯', 2, '2个大人', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `purchase_service`
--
CREATE TABLE `purchase_service` (
`pid` int(10) NOT NULL,
`user` varchar(10) COLLATE utf8_bin NOT NULL,
`serviceToken` varchar(10) COLLATE utf8_bin NOT NULL,
`property` varchar(10) COLLATE utf8_bin NOT NULL,
`date` datetime NOT NULL,
`origin_address` varchar(100) COLLATE utf8_bin NOT NULL,
`doujiang` int(5) DEFAULT NULL,
`tiandoujiang` int(5) DEFAULT NULL,
`niunai` int(5) DEFAULT NULL,
`guozhi` int(5) DEFAULT NULL,
`furu` int(5) DEFAULT NULL,
`zhacai` int(5) DEFAULT NULL,
`laoganma` int(5) DEFAULT NULL,
`ganlancai` int(5) DEFAULT NULL,
`xianyadan` int(5) DEFAULT NULL,
`huashengjiang` int(5) DEFAULT NULL,
`caomeijiang` int(5) DEFAULT NULL,
`shengjidan` int(5) DEFAULT NULL,
`maipian` int(5) DEFAULT NULL,
`culiangmianbao` int(5) DEFAULT NULL,
`doushabao` int(5) DEFAULT NULL,
`xiaomantou` int(5) DEFAULT NULL,
`shouzhuabing` int(5) DEFAULT NULL,
`jiaozi` int(5) DEFAULT NULL,
`miantiao` int(5) DEFAULT NULL,
`dami` int(5) DEFAULT NULL,
`xiaomi` int(5) DEFAULT NULL,
`hongdou` int(5) DEFAULT NULL,
`lvdou` int(5) DEFAULT NULL,
`pingguo` int(5) DEFAULT NULL,
`xiangjiao` int(5) DEFAULT NULL,
`chengzi` int(5) DEFAULT NULL,
`guoli` int(5) DEFAULT NULL,
`juzi` int(5) DEFAULT NULL,
`xihongshi` int(5) DEFAULT NULL,
`bocai` int(5) DEFAULT NULL,
`digua` int(5) DEFAULT NULL,
`huanggua` int(5) DEFAULT NULL,
`tudou` int(5) DEFAULT NULL,
`you` int(5) DEFAULT NULL,
`yan` int(5) DEFAULT NULL,
`jiang` int(5) DEFAULT NULL,
`cu` int(5) DEFAULT NULL,
`tang` int(5) DEFAULT NULL,
`locker` int(2) DEFAULT NULL,
`finish` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `purchase_service`
--
INSERT INTO `purchase_service` (`pid`, `user`, `serviceToken`, `property`, `date`, `origin_address`, `doujiang`, `tiandoujiang`, `niunai`, `guozhi`, `furu`, `zhacai`, `laoganma`, `ganlancai`, `xianyadan`, `huashengjiang`, `caomeijiang`, `shengjidan`, `maipian`, `culiangmianbao`, `doushabao`, `xiaomantou`, `shouzhuabing`, `jiaozi`, `miantiao`, `dami`, `xiaomi`, `hongdou`, `lvdou`, `pingguo`, `xiangjiao`, `chengzi`, `guoli`, `juzi`, `xihongshi`, `bocai`, `digua`, `huanggua`, `tudou`, `you`, `yan`, `jiang`, `cu`, `tang`, `locker`, `finish`) VALUES
(6, '26yshO', '94500', 'house', '2018-03-05 20:03:18', '', 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `repair_service`
--
CREATE TABLE `repair_service` (
`rid` int(10) NOT NULL,
`user` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`serviceToken` varchar(10) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`time` datetime NOT NULL,
`repairNote` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`replyNote` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`finish` int(2) DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `repair_service`
--
INSERT INTO `repair_service` (`rid`, `user`, `serviceToken`, `time`, `repairNote`, `replyNote`, `finish`) VALUES
(10, '26yshO', '56326', '2018-03-05 20:03:44', '测试', NULL, 0);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`uid` int(5) NOT NULL,
`username` varchar(10) COLLATE utf8_bin NOT NULL,
`phone` bigint(50) NOT NULL,
`email` varchar(50) COLLATE utf8_bin NOT NULL,
`password` varchar(100) COLLATE utf8_bin NOT NULL,
`weChat` varchar(50) COLLATE utf8_bin NOT NULL,
`timeDeliver` varchar(50) COLLATE utf8_bin NOT NULL,
`create_time` date NOT NULL,
`role` varchar(10) COLLATE utf8_bin DEFAULT NULL,
`salt` varchar(6) COLLATE utf8_bin NOT NULL,
`address` varchar(100) COLLATE utf8_bin DEFAULT NULL,
`flight` int(5) DEFAULT '1',
`flightTotal` int(10) DEFAULT '1',
`special_medical` int(5) DEFAULT '0',
`special_medicalTotal` int(10) DEFAULT '0',
`pickup` int(5) DEFAULT NULL,
`pickupTotal` int(20) DEFAULT NULL,
`medicals` int(5) DEFAULT NULL,
`medicalsTotal` int(20) DEFAULT NULL,
`isActive` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`uid`, `username`, `phone`, `email`, `password`, `weChat`, `timeDeliver`, `create_time`, `role`, `salt`, `address`, `flight`, `flightTotal`, `special_medical`, `special_medicalTotal`, `pickup`, `pickupTotal`, `medicals`, `medicalsTotal`, `isActive`) VALUES
(29, '王加', 7783172586, '409630229@qq.com', 'b952e049925dca0717b5a4e4fa76f348738e506aea7acd5b4abec8dae712a222', 'kukumalu930', '2018-04-07', '2018-02-22', '1', 'hbwsxu', '3331 Bourmond Ave Richmond V7E1A1', 1, 1, 1, 1, 6, 6, 6, 6, 1),
(30, '张亚男', 18640013200, '59367871@qq.com', 'ab47aa567908f8f4da66d2844958dc465c824cd9e2716ba014f68f4b43c47275', '59367871', '2018-04-01', '2018-02-22', '1', 'tCKOvy', '3331 Bourmond Ave Richmond V7E1A1', 1, 2, 1, 1, 6, 7, 6, 7, 1),
(31, '王莉', 2368669966, '2356545203@qq.com', '6ede8d8cdf3750f78f70f47cfb11b45ddaa1fdb947361a1c2d7aa90351627dd2', 'WANGGENGBAO307', '2018-03-23', '2018-03-05', '1', 'iLOQwq', '3331 Bourmond Ave Richmond V7E1A1', 1, 1, 1, 1, 6, 6, 6, 6, 1),
(33, '佟遥', 7783163567, '362477@qq.com', 'a690bd7df3493417cfce10370b8f3c574f280d9807ae60d9a939263030d453fc', '362477', '2018-04-11', '2018-03-06', '1', '2igzLY', '', 1, 1, 1, 1, 6, 6, 6, 6, 1),
(34, '贾莉莉', 7786362799, '49473920@qq.com', 'c891d7991a86def100e58b9b092dd8e0d87aa84c683c5065b58d6d2af23e0c0b', 'Lily115143', '2018-03-21', '2018-03-06', '1', 'xBxBKx', '', 1, 1, 1, 1, 6, 6, 6, 6, 1);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `address`
--
ALTER TABLE `address`
ADD PRIMARY KEY (`aid`);
--
-- Indexes for table `addresscoordinate`
--
ALTER TABLE `addresscoordinate`
ADD PRIMARY KEY (`aid`),
ADD UNIQUE KEY `address` (`address`);
--
-- Indexes for table `admin`
--
ALTER TABLE `admin`
ADD PRIMARY KEY (`aid`);
--
-- Indexes for table `flight_service`
--
ALTER TABLE `flight_service`
ADD PRIMARY KEY (`fid`);
--
-- Indexes for table `food_service`
--
ALTER TABLE `food_service`
ADD PRIMARY KEY (`sid`);
--
-- Indexes for table `history`
--
ALTER TABLE `history`
ADD PRIMARY KEY (`hid`),
ADD UNIQUE KEY `token` (`token`);
--
-- Indexes for table `housekeeping_service`
--
ALTER TABLE `housekeeping_service`
ADD PRIMARY KEY (`hid`);
--
-- Indexes for table `medical_service`
--
ALTER TABLE `medical_service`
ADD PRIMARY KEY (`sid`),
ADD UNIQUE KEY `serviceToken` (`serviceToken`);
--
-- Indexes for table `pickup_service`
--
ALTER TABLE `pickup_service`
ADD PRIMARY KEY (`pid`);
--
-- Indexes for table `purchase_service`
--
ALTER TABLE `purchase_service`
ADD PRIMARY KEY (`pid`);
--
-- Indexes for table `repair_service`
--
ALTER TABLE `repair_service`
ADD PRIMARY KEY (`rid`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`uid`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `address`
--
ALTER TABLE `address`
MODIFY `aid` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `addresscoordinate`
--
ALTER TABLE `addresscoordinate`
MODIFY `aid` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=16;
--
-- AUTO_INCREMENT for table `admin`
--
ALTER TABLE `admin`
MODIFY `aid` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `flight_service`
--
ALTER TABLE `flight_service`
MODIFY `fid` int(50) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `food_service`
--
ALTER TABLE `food_service`
MODIFY `sid` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=34;
--
-- AUTO_INCREMENT for table `history`
--
ALTER TABLE `history`
MODIFY `hid` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=74;
--
-- AUTO_INCREMENT for table `housekeeping_service`
--
ALTER TABLE `housekeeping_service`
MODIFY `hid` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `medical_service`
--
ALTER TABLE `medical_service`
MODIFY `sid` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT for table `pickup_service`
--
ALTER TABLE `pickup_service`
MODIFY `pid` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `purchase_service`
--
ALTER TABLE `purchase_service`
MODIFY `pid` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `repair_service`
--
ALTER TABLE `repair_service`
MODIFY `rid` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `uid` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=36;
/*!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 */;
| true |
f6cdc301fda9586a56814b04f3b050be489f790c | SQL | ansartnl/ALPHA | /db_updates/2012.04.09/14 restriction_ac.sql | UTF-8 | 2,528 | 3.484375 | 3 | [] | no_license | CREATE OR REPLACE
TRIGGER RESTRICTION_AC
AFTER INSERT OR UPDATE OR DELETE ON RESTRICTION FOR EACH ROW
DECLARE
ac_flag NUMBER;
cursorfir zone_pkg.zone_rec_type;
curfir cursorfir%ROWTYPE;
BEGIN
ac_flag := sys_context('CLIENTCONTEXT', 'ARINC_CHANGES_FLAG');
IF ac_flag = 777 THEN
--DELETE
IF DELETING THEN
zone_pkg.get_cur_zone(:old.zone_id, cursorfir);
FETCH cursorfir INTO curfir;
CLOSE cursorfir;
INSERT INTO ARINC_CHANGES(STATEMENT)
VALUES
('DELETE FROM RESTRICTION WHERE ' ||
'NAME ' || NVL2(:old.NAME, '= ''' || :old.NAME || '''', 'IS NULL') || ' AND ' ||
'TYPE = ''' || :old.TYPE || ''' AND ' ||
'DESIGNATION = ''' || :old.DESIGNATION || ''' AND ' ||
'ZONE_ID = (SELECT ID FROM ZONE WHERE ID_NAME = ''' || curfir.ID_NAME || ''' AND TYPE = ''' || curfir.TYPE || ''' AND NAME = ''' || curfir.NAME || ''')'
);
ELSE
zone_pkg.get_cur_zone(:new.zone_id, cursorfir);
FETCH cursorfir INTO curfir;
CLOSE cursorfir;
--INSERT
IF INSERTING THEN
INSERT INTO ARINC_CHANGES(STATEMENT)
VALUES
('INSERT INTO RESTRICTION(NAME, TYPE, DESIGNATION, ZONE_ID, MULTI_CODE, H_MIN, H_MAX, SCHEDULE_MODE) ' ||
'VALUES(' ||
'''' || :new.NAME || ''', ' ||
'''' || :new.TYPE || ''', ' ||
'''' || :new.DESIGNATION || ''', ' ||
'(SELECT ID FROM ZONE WHERE ID_NAME = ''' || curfir.ID_NAME || ''' AND TYPE = ''' || curfir.TYPE || ''' AND NAME = ''' || curfir.NAME || '''), ' ||
'''' || :new.MULTI_CODE || ''', ' ||
'''' || :new.H_MIN || ''', ' ||
'''' || :new.H_MAX || ''', ' ||
'''' || :new.SCHEDULE_MODE || '''' ||
')');
--UPDATE
ELSE
INSERT INTO ARINC_CHANGES(STATEMENT)
VALUES
('UPDATE RESTRICTION SET ' ||
'NAME = ''' || :new.NAME || ''', ' ||
'TYPE = ''' || :new.TYPE || ''', ' ||
'DESIGNATION = ''' || :new.DESIGNATION || ''', ' ||
'MULTI_CODE = ''' || :new.MULTI_CODE || ''', ' ||
'H_MIN = ''' || :new.H_MIN || ''', ' ||
'H_MAX = ''' || :new.H_MAX || ''', ' ||
'SCHEDULE_MODE = ''' || :new.SCHEDULE_MODE || ''' ' ||
'WHERE ' ||
'NAME ' || NVL2(:old.NAME, '= ''' || :old.NAME || '''', 'IS NULL') || ' AND ' ||
'TYPE = ''' || :old.TYPE || ''' AND ' ||
'DESIGNATION = ''' || :old.DESIGNATION || ''' AND ' ||
'ZONE_ID = (SELECT ID FROM ZONE WHERE ID_NAME = ''' || curfir.ID_NAME || ''' AND TYPE = ''' || curfir.TYPE || ''' AND NAME = ''' || curfir.NAME || ''')'
);
END IF;
END IF;
END IF;
END;
/
ALTER TRIGGER RESTRICTION_AC ENABLE;
| true |
795908b208f35f5f3103407f9b250693ba991396 | SQL | leahgean/MarketingAutomationTool | /DBScripts/93_CREATE_TABLE_ContactSearchFields.sql | UTF-8 | 382 | 2.65625 | 3 | [] | no_license | CREATE TABLE ContactSearchFields
(
ID INT IDENTITY,
SEARCHID INT NOT NULL REFERENCES ContactSearch(ID),
ACCOUNTID UNIQUEIDENTIFIER NOT NULL,
CREATEDBY UNIQUEIDENTIFIER NOT NULL,
CREATEDDATE DATETIME NOT NULL DEFAULT(GETDATE()),
SEARCHKEY NVARCHAR(250) NOT NULL,
SEARCHOPERATOR NVARCHAR(20) NOT NULL,
SEARCHVALUE NVARCHAR(MAX) NOT NULL,
SEARCHLOGICALOPERATOR NVARCHAR(5) NOT NULL
)
| true |
f91f7891107be89e69b32d56aae972db1bb0b982 | SQL | 1jgrant/nc-news-backend | /db/query.sql | UTF-8 | 264 | 3.46875 | 3 | [] | no_license | \c nc_news_test
SELECT articles.*, COUNT(comment_id) AS comment_count, COUNT(articles.article_id) AS total_count FROM articles
LEFT JOIN comments ON articles.article_id = comments.article_id
WHERE articles.author = 'rogersop'
GROUP BY articles.article_id
LIMIT 5; | true |
b13ad008886726746d1af7dab3e7c92ddca06ba3 | SQL | masters-info-nantes/DataLeReacteur | /extract/views.sql | UTF-8 | 1,661 | 3.875 | 4 | [] | no_license | -- VIEW opendata_image
-- DROP VIEW IF EXISTS opendata_image;
--
-- CREATE VIEW opendata_image AS
-- SELECT id, name, (CASE WHEN (caption = '') THEN alt ELSE caption END) as comment
-- FROM txp_image;
-- VIEW opendata_venues
-- DROP VIEW IF EXISTS opendata_venues;
--
-- CREATE VIEW opendata_venues AS
-- SELECT ID,venue_name, Category1 as category, Category2 as region, lat, lon, venue_horaire_human_readable, venue_adresse, venue_city, venue_website
-- FROM reacteur_venues
-- WHERE Status >= 4;
-- VIEW opendata_expos
-- DROP VIEW IF EXISTS opendata_expos;
--
-- CREATE VIEW opendata_expos AS
-- SELECT ID, LastMod,Title,Body,Image, Category2 as category, artists, venue_id, expo_url, festival_id, event_date, event_type
-- FROM reacteur_expos_tmp;
-- VIEW opendata_nantes
DROP VIEW IF EXISTS opendata_nantes;
CREATE VIEW opendata_nantes AS
SELECT
e.Title as e_name, e.Body as e_description, e.event_type as e_category, e.artists as e_artists, e.expo_url as e_website, festival.Title as e_festival, (CASE WHEN (e.Category2 = 'festivals') THEN 1 ELSE 0 END) as e_is_festival, e.event_date as e_date,
v.venue_name as v_name, v.Category1 as v_category, v.Category2 as v_region, v.lat as v_latitude, v.lon as v_longitude, v.venue_horaire_human_readable as v_horaires, v.venue_adresse as v_adresse, v.venue_city as v_city, v.venue_website v_website,
i.name as i_name, (CASE WHEN (i.caption = '') THEN i.alt ELSE i.caption END) as i_description
FROM reacteur_expos_tmp e
LEFT JOIN reacteur_expos_tmp festival ON festival.ID = e.festival_id
LEFT JOIN reacteur_venues v ON v.ID = e.venue_id
LEFT JOIN txp_image i ON i.id = e.Image
WHERE v.Status >= 4; | true |
5ba6a7fae656d08ee6849cdfd68a9d7ed0f6441b | SQL | bgatev/TelerikAcademy | /Databases/Lection 5/Task12.sql | UTF-8 | 195 | 3.296875 | 3 | [] | no_license | select Employees.FirstName, Employees.LastName, isnull(empl.FirstName + empl.LastName, '(no manager)') as Manager
from Employees left join Employees empl on Employees.ManagerID = empl.EmployeeID
| true |
75683aa1b817786929ef067eb4e6eb4cc1d8ecbb | SQL | wkorando/restful-people | /create.sql | UTF-8 | 354 | 2.53125 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS Persons (
id IDENTITY PRIMARY KEY auto_increment,
firstName varchar(200),
lastName varchar(200)
);
INSERT INTO Persons (firstName, lastName) values ('Billy', 'Korando');
INSERT INTO Persons (firstName, lastName) values ('Johnny', 'Appleseed');
INSERT INTO Persons (firstName, lastName) values ('Roger', 'Goodell'); | true |
8156db521c44fcb2e0084e1dea23a9ce0ffe2ddf | SQL | jasarsoft/fit-src | /bp2/vjezbe_pdf/bp2_vj07pdf_zadatak08.sql | UTF-8 | 406 | 3.15625 | 3 | [
"MIT"
] | permissive | /*
Vjezbe 7 Zadatak 8
Izmijeniti rezultate testiranja svim kandidatima koji su polagali odabrani test (oznaka testa kao filter).
Svim kandidatima broj osvojenih bodova uvecati za 5.
*/
USE Edin
UPDATE RezultatiTesta
SET OsvojeniBodovi = OsvojeniBodovi + 5
WHERE TestID = (select T.TestID from Testovi AS T where T.Naziv = 'Programiranje 1') AND
OsvojeniBodovi <= 95
SELECT *
FROM RezultatiTesta | true |
e0475148d6dfdfb0891df502ab808e2dfe8c43a5 | SQL | Tanginatushar/corrected-crud01 | /empployskill/employskills.sql | UTF-8 | 1,962 | 2.765625 | 3 | [
"MIT"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.0.10deb1
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Dec 27, 2014 at 06:47 AM
-- Server version: 5.5.40-0ubuntu0.14.04.1
-- PHP Version: 5.5.9-1ubuntu4.5
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
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 utf8 */;
--
-- Database: `employskills`
--
-- --------------------------------------------------------
--
-- Table structure for table `empskilref`
--
CREATE TABLE IF NOT EXISTS `empskilref` (
`ID` int(255) NOT NULL AUTO_INCREMENT,
`comName` varchar(255) NOT NULL,
`comBusiness` varchar(255) NOT NULL,
`address` varchar(255) NOT NULL,
`des` varchar(255) NOT NULL,
`dep` varchar(255) NOT NULL,
`emDu` varchar(255) NOT NULL,
`res` varchar(255) NOT NULL,
`exCat` varchar(255) NOT NULL,
`skilldes` varchar(255) NOT NULL,
`exAct` varchar(255) NOT NULL,
`name` varchar(255) NOT NULL,
`org` varchar(255) NOT NULL,
`add` varchar(255) NOT NULL,
`relation` varchar(255) NOT NULL,
`mobile` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ;
--
-- Dumping data for table `empskilref`
--
INSERT INTO `empskilref` (`ID`, `comName`, `comBusiness`, `address`, `des`, `dep`, `emDu`, `res`, `exCat`, `skilldes`, `exAct`, `name`, `org`, `add`, `relation`, `mobile`, `email`) VALUES
(2, 'sdssds', 'dsds', 's', 's', 'ss', 's', 's', 'ss', 'r', 'f', 'dd', 'd', 'f', 'd', '23', 'rt'),
(3, 'dfg', '', '', 'vc', '', '', '', 'b', '', '', '', 'gdf', '', '', '', '');
/*!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 */;
| true |
79542aa4ac76f3985190071c4faa072195860a6a | SQL | sivanookala1979/getbike | /conf/evolutions/default/29.sql | UTF-8 | 487 | 2.890625 | 3 | [
"Apache-2.0"
] | permissive |
# --- !Ups
create table non_geo_fencing_location (
id bigint not null,
mobile_number varchar(255),
latitude double,
longitude double,
address_area varchar(255),
requested_at timestamp,
constraint pk_non_geo_fencing_location primary key (id)
);
create sequence non_geo_fencing_location_seq;
# --- !Downs | true |
3979658f0e97d334ab70bf0f70091b72d789b700 | SQL | anurag31594/SQL | /Trips and Users.sql | UTF-8 | 3,633 | 4.5 | 4 | [] | no_license | --The Trips table holds all taxi trips. Each trip has a unique Id, while Client_Id and Driver_Id are both foreign keys to the Users_Id at the Users table. Status is an ENUM type of (‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’).
+----+-----------+-----------+---------+--------------------+----------+
| Id | Client_Id | Driver_Id | City_Id | Status |Request_at|
+----+-----------+-----------+---------+--------------------+----------+
| 1 | 1 | 10 | 1 | completed |2013-10-01|
| 2 | 2 | 11 | 1 | cancelled_by_driver|2013-10-01|
| 3 | 3 | 12 | 6 | completed |2013-10-01|
| 4 | 4 | 13 | 6 | cancelled_by_client|2013-10-01|
| 5 | 1 | 10 | 1 | completed |2013-10-02|
| 6 | 2 | 11 | 6 | completed |2013-10-02|
| 7 | 3 | 12 | 6 | completed |2013-10-02|
| 8 | 2 | 12 | 12 | completed |2013-10-03|
| 9 | 3 | 10 | 12 | completed |2013-10-03|
| 10 | 4 | 13 | 12 | cancelled_by_driver|2013-10-03|
+----+-----------+-----------+---------+--------------------+----------+
--The Users table holds all users. Each user has an unique Users_Id, and Role is an ENUM type of (‘client’, ‘driver’, ‘partner’).
+----------+--------+--------+
| Users_Id | Banned | Role |
+----------+--------+--------+
| 1 | No | client |
| 2 | Yes | client |
| 3 | No | client |
| 4 | No | client |
| 10 | No | driver |
| 11 | No | driver |
| 12 | No | driver |
| 13 | No | driver |
+----------+--------+--------+
--Write a SQL query to find the cancellation rate of requests made by unbanned users (both client and driver must be unbanned) between Oct 1, 2013 and Oct 3, 2013. The cancellation rate is computed by dividing the number of canceled (by client or driver) requests made by unbanned users by the total number of requests made by unbanned users.
########################################################################################
select Request_at as "Day" , coalesce(CancellationRate , 0) as "Cancellation Rate"
from
(select Request_at , ROUND((cancelledtotal/total),2) as CancellationRate
from
(select ZT1.Request_at , ZT1.total , ZT2.cancelledtotal
from
(select Request_at , count(*) as total
from
(select T1.Id , T1.Client_Id , T2.Driver_Id , Status , Request_at
from
(select id , Client_Id , Status , Request_at
from Trips
where Client_Id IN (select users_id from Users where Banned = 'No')) as T1
inner join
(select id , Driver_Id
from Trips
where Client_Id IN (select users_id from Users where Banned = 'No')) as T2
on T1.Id = T2.id
where Request_at BETWEEN '2013-10-01' AND '2013-10-03') F1
group by Request_at) as ZT1
left join
(select Request_at , count(*) as cancelledtotal
from
(select T1.Id , T1.Client_Id , T2.Driver_Id , Status , Request_at
from
(select id , Client_Id , Status , Request_at
from Trips
where Client_Id IN (select users_id from Users where Banned = 'No')) as T1
inner join
(select id , Driver_Id
from Trips
where Client_Id IN (select users_id from Users where Banned = 'No')) as T2
on T1.Id = T2.id
where Request_at BETWEEN '2013-10-01' AND '2013-10-03'
and Status = 'cancelled_by_driver' or status = 'cancelled_by_client') F1
group by Request_at) as ZT2
on ZT1.request_at = ZT2.request_at) as YT1
group by Request_at) as MT1 | true |
bf759fb0a87f92a34843b1984f5d4bde4c4b5b4d | SQL | Holo-Development/SQL_Aplicado | /Comercial2AScriptV2.sql | UTF-8 | 6,837 | 3.84375 | 4 | [] | no_license | CREATE TABLE CATEGORIA_CLIENTE(
idCategoriaCliente int not null identity(1,1) primary key,
nombreCategoria varchar(50) not null
);
CREATE TABLE ENCARGADO_COMPRA(
idEncargado int not null identity(1,1) primary key,
runEncargado varchar(15) not null,
nombreEncargado varchar(50) not null,
correo varchar(50) not null,
celular varchar(50) not null
);
CREATE TABLE CLIENTE(
idCliente int not null identity(1,1) primary key,
rutCliente varchar(15) not null,
nombreCliente varchar(50) not null,
direccion varchar(50) not null,
telefono varchar(50),
correo varchar(50) not null,
celular varchar(50) not null,
esCliente char not null,
idEncargado int not null,
idCategoriaCliente int not null,
constraint FK_idEncargado foreign key(idEncargado) references ENCARGADO_COMPRA(idEncargado),
constraint FK_idCategoriaCliente foreign key(idCategoriaCliente) references CATEGORIA_CLIENTE(idCategoriaCliente)
);
CREATE TABLE ENCARGADO_VENTA(
idEncargado int not null identity(1,1) primary key,
runEncargado varchar(15) not null,
nombreEncargado varchar(50) not null,
correo varchar(50) not null,
celular varchar(20) not null
);
CREATE TABLE SUCURSAL
(
idSucursal int not null primary key identity(1,1),
nombreSucursal varchar(10) not null,
direccion varchar(20) not null,
telefono varchar(20) not null,
correo varchar(50) not null,
idEncargado int not null,
constraint fk_encargado foreign key(idEncargado)
references ENCARGADO_VENTA(idEncargado)
)
CREATE TABLE PEDIDO
(
idPedido int primary key identity(1,1) not null,
runPedido varchar(15) not null,
nombrePedido varchar(50) not null,
direccion varchar(50) not null,
fecha date not null,
idSucursal int not null,
encargadoCompraId int not null,
constraint fk_sucursal foreign key(idSucursal) references ENCARGADO_COMPRA(idEncargado),
constraint fk_encargadoCompra foreign key(encargadoCompraId) references ENCARGADO_COMPRA(idEncargado)
)
CREATE TABLE DETALLE_PEDIDO(
cantidad int not null,
detalle int not null,
precioUnitario int not null,
iva int not null,
total int not null,
idPedido int not null,
constraint fk_idPedido foreign key(idPedido) references Pedido(idPedido),
);
CREATE TABLE PROVEEDOR(
idProveedor int not null primary key identity(1,1),
runProveedor varchar(15) not null,
nombreProveedor varchar(50) not null,
direccion varchar(50) not null,
telefono varchar(15),
correo varchar(50) not null,
celular varchar(15) not null,
esCliente char(1) not null
);
CREATE TABLE CATEGORIA_PRODUCTO
(
id_CategoriaProducto int not null primary key identity(1,1),
nombreCategoriaProducto varchar(50) not null,
disponible char(1) not null
)
CREATE TABLE PRODUCTO(
idProducto int not null primary key identity(1,1),
nombreProducto varchar(50) not null,
precioNetoProducto int not null,
ivaProducto int not null,
precioProducto int not null,
disponibilidad char(1) not null,
id_CategoriaProducto int not null,
idProveedor int not null,
idEncargado int not null,
constraint fk_id_CategoriaProducto foreign key(id_CategoriaProducto) references CATEGORIA_PRODUCTO(id_CategoriaProducto),
constraint fk_idProveedor foreign key(idProveedor) references PROVEEDOR(idProveedor),
constraint fk_idEncargadoVenta foreign key(idEncargado) references ENCARGADO_VENTA(idEncargado)
);
CREATE TABLE CATEGORIA_EMPLEADO(
idCategoriaEmpleado int not null primary key identity(1,1),
nombre varchar(50),
descripcion varchar(200)
);
CREATE TABLE EMPLEADO
(
runEmpleado varchar(15) not null primary key,
nombreEmpleado varchar(50) not null,
apellidoPaterno varchar(25) not null,
apellidoMaterno varchar(25) not null,
genero varchar(1) not null,
nacionalidad varchar(30) not null,
fechaContrato date not null,
sueldo int not null,
fechaNacimiento date not null,
esEmpleado char(1) not null,
idCategoriaEmpleado int not null,
idSucursal int not null,
constraint fk_categoria foreign key(idCategoriaEmpleado) references CATEGORIA_EMPLEADO(idCategoriaEmpleado),
constraint fk_sucursal_empleado foreign key(idSucursal) references SUCURSAL(idSucursal)
)
CREATE TABLE GUIA_DE_DESPACHO
(
idGuiaDespacho int not null primary key identity(1,1),
rut varchar(15) not null,
fecha date not null,
nombre varchar(50) not null,
telefono varchar(15) not null,
direccion varchar(50) not null,
comuna varchar(50) not null,
ciudad varchar(50) not null,
runEmpleado varchar(15) not null,
constraint fk_empleado foreign key(runEmpleado) references EMPLEADO(runEmpleado)
)
CREATE TABLE DETALLE_GUIA_DESPACHO
(
Detalle_Guia_Despacho_ID int not null primary key identity(1,1),
cantidad int not null,
detalle varchar(20) not null,
total int not null,
nombreRecepcion varchar(50) not null,
rutRecepcion varchar(15) not null,
fechaDeRecepcion date not null,
id_GuiaDespacho int not null,
constraint fk_guiaDespacho foreign key(id_GuiaDespacho) references GUIA_DE_DESPACHO(idGuiaDespacho)
)
CREATE TABLE DESPACHO
(
idDespacho int not null primary key identity(1,1),
direccionOrigen varchar(50) not null,
direccionDestino varchar(50) not null,
fechaSalida date not null,
fechaLlegada date not null,
idGuiaDespacho int not null,
constraint fk_guiaDespachoDespacho foreign key(idGuiaDespacho) references GUIA_DE_DESPACHO(idGuiaDespacho)
)
CREATE TABLE FACTURA(
idFactura int not null identity(1,1) primary key,
rutFactura varchar(15) not null,
fechaEmision date not null,
fechaVencimiento date not null,
direccion varchar(50) not null,
ciudad varchar(50) not null,
comuna varchar(50) not null,
runEmpleado varchar(15) not null,
constraint FK_rumEmpleado foreign key(runEmpleado) references EMPLEADO(runEmpleado)
);
CREATE TABLE NOTACREDITO
(
notaCredito_ID int primary key identity(1,1) not null,
rut varchar(15) not null,
nombre varchar(50) not null,
direccion varchar(50) not null,
comuna varchar(50) not null,
telefono varchar(15) not null,
numeroFactura int not null,
constraint FK_numeroFactura foreign key(numeroFactura) references FACTURA(idFactura)
)
CREATE TABLE DETALLE_NOTA_CREDITO
(
cantidad int not null,
detalle int not null,
precioUnitario int not null,
total int not null,
subTotal int not null,
iva int not null,
total_2 int,
nombreRecepcion varchar(50),
rutRecepcion varchar(15),
recintoDondeRecibe varchar(50),
fechaDeRecepcion date,
id_notaCredito int not null,
constraint fk_notaCredito foreign key(id_notaCredito)
references NOTACREDITO(notaCredito_ID)
)
CREATE TABLE DETALLE_FACTURA(
cantidad int not null,
detalle int not null,
precioUnitario int not null,
total int not null,
idFactura int not null,
constraint FK_FACTURAS foreign key(idFactura) references FACTURA(idFactura)
);
| true |
8617f8b68bae2a5cff8bfb55cab25fe4a2aefd1a | SQL | Kevlyn1205/EduTech | /Clientes.sql | UTF-8 | 207 | 2.625 | 3 | [] | no_license | Create database Clientes
use Clientes
create table Clientes(
Codigo int identity(1001,1) primary key,
Nombre varchar(35) not null,
Telefono varchar(9),
Email varchar(25)
);
select * from Clientes | true |
e94953edcaf73bedd5ad1a3db173442b77c853b3 | SQL | JavaGCP210907/p0-bgarber0343 | /SQLScripts/inventory_tracker_script.sql | UTF-8 | 1,966 | 3.296875 | 3 | [] | no_license | CREATE TABLE departments (
department_id serial PRIMARY KEY,
department_name TEXT,
department_sales decimal(15,2)
);
CREATE TABLE products (
product_id serial PRIMARY KEY,
product_name TEXT,
product_description TEXT,
price decimal(15, 2),
stock int,
department_id int REFERENCES departments (department_id)
);
INSERT INTO departments (department_name, department_sales)
VALUES ('Kitchen', 5368.33),
('Electronics', 7463.75),
('Power Tools', 3480.21),
('Automotive', 4621.89),
('Lawn Care', 3688.55);
SELECT * FROM departments;
INSERT INTO products (product_name, product_description, price, stock, department_id)
VALUES ('X2R Industrial Refridgerator', 'Large refridgerator perfect for small buisnesses', 2999.99, 20, 1),
('B12 Widescreen Television', '40 inch widescreen TV', 349.99, 35, 2),
('F27 Power Drill', 'Battery powered drill with multiple accessories', 139.99, 23, 3),
('NJ7 Wiper Blades', 'High-end wiper blades garunteed to last', 39.99, 37, 4),
('U25 Lawn Mower', 'Small electric lawn mower with adjustable height', 449.99, 22, 5),
('Y2K Personal Computer', 'Mid-range PC with windows 10 pre-installed', 899.99, 14, 2),
('G99 Table Saw', 'Large table saw with adjustable base', 599.99, 10, 3),
('K88 Battery', 'Car battery for mid-size vehicles', 89.99, 20, 4),
('T65 Weed Whacker', 'Battery powered weed whacker', 194.99, 11, 5),
('OP8 Dishwasher', 'High capacity dishwasher', 999.99, 14, 1),
('P01 Smartphone', 'Modern smartphone with Android OS installed', 249.99, 32, 2),
('M67 Power Washer', 'Standard power washer with adjustable head', 159.99, 8, 3),
('L35 Brakepads', 'Long lasting brakepads for mid-size vehicles', 49.99, 24, 4),
('J14 Leafblower', 'Electric leafblower with spare battery', 199.99, 16, 5);
SELECT * FROM products;
DROP TABLE products;
DROP TABLE departments; | true |
aad74d9a24d8aaeaf6abaeacf0288e0d5fc65fe6 | SQL | crihit/DB_TEAM2 | /phase3-input.sql | UTF-8 | 68,580 | 2.859375 | 3 | [] | no_license | create table category (
major varchar(30) not null,
sub varchar(30) not null,
catid int not null,
primary key (catid));
create table provider (
Pid int not null,
Pname varchar(20) not null,
Plocation varchar(20) not null,
primary key (Pid));
create table item (
Iexp date,
Iprice int not null,
Iname varchar(50) not null,
ItemID int not null,
Iprovider int not null,
Icategory int not null,
primary key (ItemID));
create table customer (
Cusid varchar(20) not null,
Cuspw varchar(20) not null,
Sex char,
Pnumber varchar(15) not null,
Cusname varchar(30) not null,
Age int,
Job varchar(20),
Azip int not null,
Astate varchar(20) not null,
Acity varchar(20) not null,
Astreet varchar(20) not null,
Abuildnum int not null,
Alastadd varchar(30),
primary key (Cusid));
create table cart (
CartID int not null,
Cusid varchar(20) not null,
primary key (CartID));
create table retailer (
RID int not null,
Astate varchar(20) not null,
Alastaddr varchar(30),
primary key (RID));
create table orders (
CartID int not null,
RID int not null,
Odate date not null,
primary key (CartID));
create table putin (
CartID int not null,
ItemID int not null,
Icount int not null,
primary key (CartID, ItemID));
create table stores (
ItemID int not null,
RID int not null,
Icount int not null,
primary key (ItemID, RID));
create table nowcart (
CartID int not null,
Cusid varchar(20) not null,
primary key (Cusid));
INSERT INTO customer VALUES ('admin','admin',NULL,'00000000000','administrator',NULL,NULL,12345,'Ulsan','Bukgu','Yaksu 9-gil',20,'ga-dong 703');
INSERT INTO customer VALUES ('4cha','1234','M','01088714519','kim hyeon hak',21,'student',12345,'Ulsan','Bukgu','Yaksu 9-gil',20,'ga-dong 703');
INSERT INTO customer VALUES ('4ka','9293a','M','01029392747','kim min jae',43,'teacher',12345,'Ulsan','Namgu','sinjung 8-gil',1,NULL);
INSERT INTO customer VALUES ('4ta','8871','F','01038489324','lee sung hwan',18,'student',12345,'Ulsan','Bukgu','dongdae 1-gil',8,NULL);
INSERT INTO customer VALUES ('4pa','haha','M','01027238484','choi byeong uk',25,'student',12333,'Daegu','Bukgu','daehak 2-gil',80,'geungji 126');
INSERT INTO customer VALUES ('1ga','1234','F','01099887766','moon ki hyeon',27,'officer',12333,'Daegu','dalseogu','chicken 9-gil',10,NULL);
INSERT INTO customer VALUES ('1na','4519','F','01012345678','Lee gi young',20,'student',12333,'Daegu','donggu','sincheon 1-gil',3,'201-dong 203');
INSERT INTO customer VALUES ('1da','1234','M','01028274637','Garen',37,'soldier',12444,'Busan','junggu','seomyeon 2-gil',20,'302-dong 1703');
INSERT INTO customer VALUES ('1ra','12rksk','F','01083746788','Galio',23,'mechanic',12444,'Busan','haeundaegu','haeundae 9-gil',38,NULL);
INSERT INTO customer VALUES ('1ma','sdkn','F','01937374848','Gangple',53,'captain',12444,'Busan','Bukgu','nopo 1-gil',2,'101-dong 203');
INSERT INTO customer VALUES ('1ba','1234','M','01099887221','nami',11,'student',12555,'Gwangju','Bukgu','Blue 1-gil',3,NULL);
INSERT INTO customer VALUES ('1sa','7732','M','01023874321','nidalee',43,'officer',12555,'Gwangju','Namgu','Red 3-gil',4,NULL);
INSERT INTO customer VALUES ('1a','3712bab','F','01012341234','notil',21,'student',12555,'Gwangju','Junggu','Yellow 3-gil',2,'3-dong 103');
INSERT INTO customer VALUES ('1za','3284','M','01021324432','nunu',51,'taxi driver',12666,'Daejeon','Bukgu','Purple 3-gil',2,NULL);
INSERT INTO customer VALUES ('1cha','3333','F','01038724123','darius',31,'artist',12666,'Daejeon','Yusunggu','Yusung 9-gil',72,'na-dong 11');
INSERT INTO customer VALUES ('1ka','3848ava','F','01099383777','douglas',25,'doctor',12666,'Daejeon','junggu','Black 3-gil',2,NULL);
INSERT INTO customer VALUES ('1ta','anvn123','M','01023334444','dumpist',43,NULL,12777,'Incheon','Bukgu','Airport 9-gil',20,'101-dong 703');
INSERT INTO customer VALUES ('1pa','vn3i2','M','01923237474','gragas',11,NULL,12777,'Incheon','Bukgu','Airport 9-gil',20,'101-dong 703');
INSERT INTO customer VALUES ('1ha','v9v9','F','01022283888','graves',21,NULL,12777,'Incheon','Bukgu','Airport 9-gil',20,'101-dong 703');
INSERT INTO customer VALUES ('2ga','sfdnv1','M','01038381221','nar',13,NULL,12888,'Seoul','Bukgu','Jongro 2-gil',12,NULL);
INSERT INTO customer VALUES ('2na','5v5d1','F','01099383877','nasus',31,NULL,12888,'Seoul','Gangseogu','Gangseo 3-gil',10,NULL);
INSERT INTO customer VALUES ('2da','v122vd','F','01022219442','nokteon',48,NULL,12888,'Seoul','Gangnamgu','Gangnam 5-gil',5,NULL);
INSERT INTO customer VALUES ('2ra','sdv51','M','01088382389','diana',17,NULL,12999,'Gyeonggi','Suwon','Paldal 9-gil',20,'101-dong 123');
INSERT INTO customer VALUES ('2ma','veee1','F','01077445533','draven',26,NULL,12999,'Gyeonggi','Sungnam','Red 1-gil',1,NULL);
INSERT INTO customer VALUES ('2ba','33355f','F','01066558877','rize',21,NULL,12999,'Gyeonggi','Ansan','Blue 8-gil',20,NULL);
INSERT INTO customer VALUES ('2sa','anvn123','M','01033552211','rahkan',62,NULL,13111,'Gangwon','Sokcho','Yellow 2-gil',32,NULL);
INSERT INTO customer VALUES ('2a','vv5d5w','F','01012355441','rammus',32,NULL,13111,'Gangwon','Taebaek','Green 2-gil',1,NULL);
INSERT INTO customer VALUES ('2za','775785','F','01988714519','lux',21,NULL,13111,'Gangwon','Samcheok','Blue 9-gil',3,'101-dong 203');
INSERT INTO customer VALUES ('2cha','11235','M','01013224565','rumble',38,NULL,13222,'Chungbuk','Jecheon','Red 4-gil',4,'404-dong 1843');
INSERT INTO customer VALUES ('2ka','v1v1887','F','01088415541','reneckton',30,NULL,13222,'Chungbuk','Chungju','Red 1-gil',28,NULL);
INSERT INTO customer VALUES ('2ta','jbmk1','F','01044338855','leona',29,NULL,13222,'Chungbuk','Cheongju','Black 7-gil',36,'203-dong 1203');
INSERT INTO customer VALUES ('2pa','oojn123','M','01065483214','lexai',55,NULL,13333,'Chungnam','Gongju','Mudeom 11-gil',44,NULL);
INSERT INTO customer VALUES ('2ha','48213','F','01055225522','rucian',16,NULL,13333,'Chungnam','Nonsan','Yukgun 1-gil',1,NULL);
INSERT INTO customer VALUES ('3ga','2213894','F','01012345612','rulu',21,NULL,13333,'Chungnam','Asan','Red 2-gil',12,'101-dong 703');
INSERT INTO customer VALUES ('3na','vvd211','M','01074185296','reblanc',37,NULL,13444,'Jeonbuk','Jeonju','Blue 1-gil',2,NULL);
INSERT INTO customer VALUES ('3da','8871451','M','01054641234','leesin',12,NULL,13444,'Jeonbuk','Jeonju','Blue 1-gil',2,NULL);
INSERT INTO customer VALUES ('3ra','bbvdjq','F','01012388521','riven',25,NULL,13444,'Jeonbuk','Gunsan','Where 1-gil',4,'301-dong 1203');
INSERT INTO customer VALUES ('3ma','4v4v1w12','M','01066554488','risandra',43,NULL,13555,'Jeonnam','Naju','Red 9-gil',20,NULL);
INSERT INTO customer VALUES ('3ba','1548v21v','M','01032165488','masteryi',33,NULL,13555,'Jeonnam','Naju','Blue 9-gil',3,'303-dong 101');
INSERT INTO customer VALUES ('3sa','rlagnn','F','01021478963','maokai',66,NULL,13555,'Jeonnam','Yeosu','Expo 2-gil',13,NULL);
INSERT INTO customer VALUES ('3a','v8e51v','M','01055228899','malpaite',43,NULL,13666,'Gyeongbuk','Gyeongju','Bulguksa 9-gil',1,'111-dong 1118');
INSERT INTO customer VALUES ('3za','bbrrre5','F','01065432178','mundo',52,NULL,13666,'Gyeongbuk','Sangju','Daehak 2-gil',20,NULL);
INSERT INTO customer VALUES ('3cha','mminnlan','F','01021534548','misfortune',28,NULL,13666,'Gyeongbuk','Gumi','Gongdan 8-gil',24,NULL);
INSERT INTO customer VALUES ('3ka','123456','M','01012345645','bard',15,NULL,13777,'Gyeongnam','Gimhae','Airport 2-gil',1,'101-dong 703');
INSERT INTO customer VALUES ('3ta','vn3i2','M','01912345611','barus',27,NULL,13777,'Gyeongnam','Gimhae','Airport 9-gil',20,NULL);
INSERT INTO customer VALUES ('3pa','33b211','F','01098774411','vi',40,NULL,13777,'Gyeongnam','Jinju','Naeryuk 2-gil',10,'203-dong 803');
INSERT INTO customer VALUES ('3ha','cacascw',NULL,'01085296374','vayen',NULL,NULL,13777,'Gyeongnam','Jinju','Naeryuk 2-gil',10,'203-dong 803');
INSERT INTO customer VALUES ('4ga','qqaavvddin',NULL,'01065123458','braum',NULL,NULL,12888,'Seoul','Gangseo','Gangseo 2-gil',8,'205-dong 505');
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INSERT INTO stores VALUES (11, 10, 1);
INSERT INTO stores VALUES (12, 10, 1);
INSERT INTO stores VALUES (13, 10, 1);
INSERT INTO stores VALUES (14, 10, 1);
INSERT INTO stores VALUES (15, 10, 1);
INSERT INTO stores VALUES (16, 10, 100);
INSERT INTO stores VALUES (17, 10, 100);
INSERT INTO stores VALUES (18, 10, 100);
INSERT INTO stores VALUES (19, 10, 100);
INSERT INTO stores VALUES (20, 10, 100);
INSERT INTO stores VALUES (21, 10, 100);
INSERT INTO stores VALUES (22, 10, 100);
INSERT INTO stores VALUES (23, 10, 100);
INSERT INTO stores VALUES (24, 10, 100);
INSERT INTO stores VALUES (25, 10, 100);
INSERT INTO stores VALUES (26, 10, 0);
INSERT INTO stores VALUES (27, 10, 0);
INSERT INTO stores VALUES (28, 10, 0);
INSERT INTO stores VALUES (29, 10, 0);
INSERT INTO stores VALUES (30, 10, 0);
INSERT INTO stores VALUES (31, 10, 10);
INSERT INTO stores VALUES (32, 10, 10);
INSERT INTO stores VALUES (33, 10, 10);
INSERT INTO stores VALUES (34, 10, 10);
INSERT INTO stores VALUES (35, 10, 10);
INSERT INTO stores VALUES (36, 10, 10);
INSERT INTO stores VALUES (37, 10, 10);
INSERT INTO stores VALUES (38, 10, 10);
INSERT INTO stores VALUES (39, 10, 10);
INSERT INTO stores VALUES (40, 10, 100);
INSERT INTO stores VALUES (41, 10, 100);
INSERT INTO stores VALUES (42, 10, 100);
INSERT INTO stores VALUES (43, 10, 100);
INSERT INTO stores VALUES (44, 10, 100);
INSERT INTO stores VALUES (45, 10, 100);
INSERT INTO stores VALUES (1, 11, 0);
INSERT INTO stores VALUES (2, 11, 0);
INSERT INTO stores VALUES (3, 11, 0);
INSERT INTO stores VALUES (4, 11, 0);
INSERT INTO stores VALUES (5, 11, 1);
INSERT INTO stores VALUES (6, 11, 1);
INSERT INTO stores VALUES (7, 11, 1);
INSERT INTO stores VALUES (8, 11, 1);
INSERT INTO stores VALUES (9, 11, 1);
INSERT INTO stores VALUES (10, 11, 1);
INSERT INTO stores VALUES (11, 11, 1);
INSERT INTO stores VALUES (12, 11, 1);
INSERT INTO stores VALUES (13, 11, 1);
INSERT INTO stores VALUES (14, 11, 1);
INSERT INTO stores VALUES (15, 11, 1);
INSERT INTO stores VALUES (16, 11, 100);
INSERT INTO stores VALUES (17, 11, 100);
INSERT INTO stores VALUES (18, 11, 100);
INSERT INTO stores VALUES (19, 11, 100);
INSERT INTO stores VALUES (20, 11, 100);
INSERT INTO stores VALUES (21, 11, 100);
INSERT INTO stores VALUES (22, 11, 100);
INSERT INTO stores VALUES (23, 11, 100);
INSERT INTO stores VALUES (24, 11, 100);
INSERT INTO stores VALUES (25, 11, 100);
INSERT INTO stores VALUES (26, 11, 0);
INSERT INTO stores VALUES (27, 11, 0);
INSERT INTO stores VALUES (28, 11, 0);
INSERT INTO stores VALUES (29, 11, 0);
INSERT INTO stores VALUES (30, 11, 0);
INSERT INTO stores VALUES (31, 11, 10);
INSERT INTO stores VALUES (32, 11, 10);
INSERT INTO stores VALUES (33, 11, 10);
INSERT INTO stores VALUES (34, 11, 10);
INSERT INTO stores VALUES (35, 11, 10);
INSERT INTO stores VALUES (36, 11, 10);
INSERT INTO stores VALUES (37, 11, 10);
INSERT INTO stores VALUES (38, 11, 10);
INSERT INTO stores VALUES (39, 11, 10);
INSERT INTO stores VALUES (40, 11, 100);
INSERT INTO stores VALUES (41, 11, 100);
INSERT INTO stores VALUES (42, 11, 100);
INSERT INTO stores VALUES (43, 11, 100);
INSERT INTO stores VALUES (44, 11, 100);
INSERT INTO stores VALUES (45, 11, 100);
INSERT INTO stores VALUES (1, 12, 0);
INSERT INTO stores VALUES (2, 12, 0);
INSERT INTO stores VALUES (3, 12, 0);
INSERT INTO stores VALUES (4, 12, 0);
INSERT INTO stores VALUES (5, 12, 1);
INSERT INTO stores VALUES (6, 12, 1);
INSERT INTO stores VALUES (7, 12, 1);
INSERT INTO stores VALUES (8, 12, 1);
INSERT INTO stores VALUES (9, 12, 1);
INSERT INTO stores VALUES (10, 12, 1);
INSERT INTO stores VALUES (11, 12, 1);
INSERT INTO stores VALUES (12, 12, 1);
INSERT INTO stores VALUES (13, 12, 1);
INSERT INTO stores VALUES (14, 12, 1);
INSERT INTO stores VALUES (15, 12, 1);
INSERT INTO stores VALUES (16, 12, 100);
INSERT INTO stores VALUES (17, 12, 100);
INSERT INTO stores VALUES (18, 12, 100);
INSERT INTO stores VALUES (19, 12, 100);
INSERT INTO stores VALUES (20, 12, 100);
INSERT INTO stores VALUES (21, 12, 100);
INSERT INTO stores VALUES (22, 12, 100);
INSERT INTO stores VALUES (23, 12, 100);
INSERT INTO stores VALUES (24, 12, 100);
INSERT INTO stores VALUES (25, 12, 100);
INSERT INTO stores VALUES (26, 12, 0);
INSERT INTO stores VALUES (27, 12, 0);
INSERT INTO stores VALUES (28, 12, 0);
INSERT INTO stores VALUES (29, 12, 0);
INSERT INTO stores VALUES (30, 12, 0);
INSERT INTO stores VALUES (31, 12, 10);
INSERT INTO stores VALUES (32, 12, 10);
INSERT INTO stores VALUES (33, 12, 10);
INSERT INTO stores VALUES (34, 12, 10);
INSERT INTO stores VALUES (35, 12, 10);
INSERT INTO stores VALUES (36, 12, 10);
INSERT INTO stores VALUES (37, 12, 10);
INSERT INTO stores VALUES (38, 12, 10);
INSERT INTO stores VALUES (39, 12, 10);
INSERT INTO stores VALUES (40, 12, 100);
INSERT INTO stores VALUES (41, 12, 100);
INSERT INTO stores VALUES (42, 12, 100);
INSERT INTO stores VALUES (43, 12, 100);
INSERT INTO stores VALUES (44, 12, 100);
INSERT INTO stores VALUES (45, 12, 100);
INSERT INTO stores VALUES (1, 13, 0);
INSERT INTO stores VALUES (2, 13, 0);
INSERT INTO stores VALUES (3, 13, 0);
INSERT INTO stores VALUES (4, 13, 0);
INSERT INTO stores VALUES (5, 13, 1);
INSERT INTO stores VALUES (6, 13, 1);
INSERT INTO stores VALUES (7, 13, 1);
INSERT INTO stores VALUES (8, 13, 1);
INSERT INTO stores VALUES (9, 13, 1);
INSERT INTO stores VALUES (10, 13, 1);
INSERT INTO stores VALUES (11, 13, 1);
INSERT INTO stores VALUES (12, 13, 1);
INSERT INTO stores VALUES (13, 13, 1);
INSERT INTO stores VALUES (14, 13, 1);
INSERT INTO stores VALUES (15, 13, 1);
INSERT INTO stores VALUES (16, 13, 100);
INSERT INTO stores VALUES (17, 13, 100);
INSERT INTO stores VALUES (18, 13, 100);
INSERT INTO stores VALUES (19, 13, 100);
INSERT INTO stores VALUES (20, 13, 100);
INSERT INTO stores VALUES (21, 13, 100);
INSERT INTO stores VALUES (22, 13, 100);
INSERT INTO stores VALUES (23, 13, 100);
INSERT INTO stores VALUES (24, 13, 100);
INSERT INTO stores VALUES (25, 13, 100);
INSERT INTO stores VALUES (26, 13, 0);
INSERT INTO stores VALUES (27, 13, 0);
INSERT INTO stores VALUES (28, 13, 0);
INSERT INTO stores VALUES (29, 13, 0);
INSERT INTO stores VALUES (30, 13, 0);
INSERT INTO stores VALUES (31, 13, 10);
INSERT INTO stores VALUES (32, 13, 10);
INSERT INTO stores VALUES (33, 13, 10);
INSERT INTO stores VALUES (34, 13, 10);
INSERT INTO stores VALUES (35, 13, 10);
INSERT INTO stores VALUES (36, 13, 10);
INSERT INTO stores VALUES (37, 13, 10);
INSERT INTO stores VALUES (38, 13, 10);
INSERT INTO stores VALUES (39, 13, 10);
INSERT INTO stores VALUES (40, 13, 100);
INSERT INTO stores VALUES (41, 13, 100);
INSERT INTO stores VALUES (42, 13, 100);
INSERT INTO stores VALUES (43, 13, 100);
INSERT INTO stores VALUES (44, 13, 100);
INSERT INTO stores VALUES (45, 13, 100);
INSERT INTO stores VALUES (1, 14, 0);
INSERT INTO stores VALUES (2, 14, 0);
INSERT INTO stores VALUES (3, 14, 0);
INSERT INTO stores VALUES (4, 14, 0);
INSERT INTO stores VALUES (5, 14, 1);
INSERT INTO stores VALUES (6, 14, 1);
INSERT INTO stores VALUES (7, 14, 1);
INSERT INTO stores VALUES (8, 14, 1);
INSERT INTO stores VALUES (9, 14, 1);
INSERT INTO stores VALUES (10, 14, 1);
INSERT INTO stores VALUES (11, 14, 1);
INSERT INTO stores VALUES (12, 14, 1);
INSERT INTO stores VALUES (13, 14, 1);
INSERT INTO stores VALUES (14, 14, 1);
INSERT INTO stores VALUES (15, 14, 1);
INSERT INTO stores VALUES (16, 14, 100);
INSERT INTO stores VALUES (17, 14, 100);
INSERT INTO stores VALUES (18, 14, 100);
INSERT INTO stores VALUES (19, 14, 100);
INSERT INTO stores VALUES (20, 14, 100);
INSERT INTO stores VALUES (21, 14, 100);
INSERT INTO stores VALUES (22, 14, 100);
INSERT INTO stores VALUES (23, 14, 100);
INSERT INTO stores VALUES (24, 14, 100);
INSERT INTO stores VALUES (25, 14, 100);
INSERT INTO stores VALUES (26, 14, 0);
INSERT INTO stores VALUES (27, 14, 0);
INSERT INTO stores VALUES (28, 14, 0);
INSERT INTO stores VALUES (29, 14, 0);
INSERT INTO stores VALUES (30, 14, 0);
INSERT INTO stores VALUES (31, 14, 10);
INSERT INTO stores VALUES (32, 14, 10);
INSERT INTO stores VALUES (33, 14, 10);
INSERT INTO stores VALUES (34, 14, 10);
INSERT INTO stores VALUES (35, 14, 10);
INSERT INTO stores VALUES (36, 14, 10);
INSERT INTO stores VALUES (37, 14, 10);
INSERT INTO stores VALUES (38, 14, 10);
INSERT INTO stores VALUES (39, 14, 10);
INSERT INTO stores VALUES (40, 14, 100);
INSERT INTO stores VALUES (41, 14, 100);
INSERT INTO stores VALUES (42, 14, 100);
INSERT INTO stores VALUES (43, 14, 100);
INSERT INTO stores VALUES (44, 14, 100);
INSERT INTO stores VALUES (45, 14, 100);
INSERT INTO stores VALUES (1, 15, 0);
INSERT INTO stores VALUES (2, 15, 0);
INSERT INTO stores VALUES (3, 15, 0);
INSERT INTO stores VALUES (4, 15, 0);
INSERT INTO stores VALUES (5, 15, 1);
INSERT INTO stores VALUES (6, 15, 1);
INSERT INTO stores VALUES (7, 15, 1);
INSERT INTO stores VALUES (8, 15, 1);
INSERT INTO stores VALUES (9, 15, 1);
INSERT INTO stores VALUES (10, 15, 1);
INSERT INTO stores VALUES (11, 15, 1);
INSERT INTO stores VALUES (12, 15, 1);
INSERT INTO stores VALUES (13, 15, 1);
INSERT INTO stores VALUES (14, 15, 1);
INSERT INTO stores VALUES (15, 15, 1);
INSERT INTO stores VALUES (16, 15, 100);
INSERT INTO stores VALUES (17, 15, 100);
INSERT INTO stores VALUES (18, 15, 100);
INSERT INTO stores VALUES (19, 15, 100);
INSERT INTO stores VALUES (20, 15, 100);
INSERT INTO stores VALUES (21, 15, 100);
INSERT INTO stores VALUES (22, 15, 100);
INSERT INTO stores VALUES (23, 15, 100);
INSERT INTO stores VALUES (24, 15, 100);
INSERT INTO stores VALUES (25, 15, 100);
INSERT INTO stores VALUES (26, 15, 0);
INSERT INTO stores VALUES (27, 15, 0);
INSERT INTO stores VALUES (28, 15, 0);
INSERT INTO stores VALUES (29, 15, 0);
INSERT INTO stores VALUES (30, 15, 0);
INSERT INTO stores VALUES (31, 15, 10);
INSERT INTO stores VALUES (32, 15, 10);
INSERT INTO stores VALUES (33, 15, 10);
INSERT INTO stores VALUES (34, 15, 10);
INSERT INTO stores VALUES (35, 15, 10);
INSERT INTO stores VALUES (36, 15, 10);
INSERT INTO stores VALUES (37, 15, 10);
INSERT INTO stores VALUES (38, 15, 10);
INSERT INTO stores VALUES (39, 15, 10);
INSERT INTO stores VALUES (40, 15, 100);
INSERT INTO stores VALUES (41, 15, 100);
INSERT INTO stores VALUES (42, 15, 100);
INSERT INTO stores VALUES (43, 15, 100);
INSERT INTO stores VALUES (44, 15, 100);
INSERT INTO stores VALUES (45, 15, 100);
INSERT INTO cart VALUES (0, 'admin');
INSERT INTO cart VALUES (1, '1ga');
INSERT INTO cart VALUES (2, '1ga');
INSERT INTO cart VALUES (3, '1ga');
INSERT INTO cart VALUES (4, '1ga');
INSERT INTO cart VALUES (5, '1ga');
INSERT INTO cart VALUES (6, '1ga');
INSERT INTO cart VALUES (7, '1ga');
INSERT INTO cart VALUES (8, '1na');
INSERT INTO cart VALUES (9, '1na');
INSERT INTO cart VALUES (10, '1na');
INSERT INTO cart VALUES (11, '1na');
INSERT INTO cart VALUES (12, '1na');
INSERT INTO cart VALUES (13, '1na');
INSERT INTO cart VALUES (14, '1na');
INSERT INTO cart VALUES (15, '1da');
INSERT INTO cart VALUES (16, '1da');
INSERT INTO cart VALUES (17, '1da');
INSERT INTO cart VALUES (18, '1da');
INSERT INTO cart VALUES (19, '1da');
INSERT INTO cart VALUES (20, '1da');
INSERT INTO cart VALUES (21, '1da');
INSERT INTO cart VALUES (22, '1ra');
INSERT INTO cart VALUES (23, '1ra');
INSERT INTO cart VALUES (24, '1ra');
INSERT INTO cart VALUES (25, '1ra');
INSERT INTO cart VALUES (26, '1ra');
INSERT INTO cart VALUES (27, '1ra');
INSERT INTO cart VALUES (28, '1ra');
INSERT INTO cart VALUES (29, '1ma');
INSERT INTO cart VALUES (30, '1ma');
INSERT INTO cart VALUES (31, '1ma');
INSERT INTO cart VALUES (32, '1ma');
INSERT INTO cart VALUES (33, '1ma');
INSERT INTO cart VALUES (34, '1ma');
INSERT INTO cart VALUES (35, '1ma');
INSERT INTO cart VALUES (36, '1ba');
INSERT INTO cart VALUES (37, '1ba');
INSERT INTO cart VALUES (38, '1ba');
INSERT INTO cart VALUES (39, '1ba');
INSERT INTO cart VALUES (40, '1ba');
INSERT INTO cart VALUES (41, '1ba');
INSERT INTO cart VALUES (42, '1ba');
INSERT INTO cart VALUES (43, '1sa');
INSERT INTO cart VALUES (44, '1sa');
INSERT INTO cart VALUES (45, '1sa');
INSERT INTO cart VALUES (46, '1sa');
INSERT INTO cart VALUES (47, '1sa');
INSERT INTO cart VALUES (48, '1sa');
INSERT INTO cart VALUES (49, '1sa');
INSERT INTO cart VALUES (50, '1a');
INSERT INTO cart VALUES (51, '1a');
INSERT INTO cart VALUES (52, '1a');
INSERT INTO cart VALUES (53, '1a');
INSERT INTO cart VALUES (54, '1a');
INSERT INTO cart VALUES (55, '1a');
INSERT INTO cart VALUES (56, '1a');
INSERT INTO cart VALUES (57, '1za');
INSERT INTO cart VALUES (58, '1za');
INSERT INTO cart VALUES (59, '1za');
INSERT INTO cart VALUES (60, '1za');
INSERT INTO cart VALUES (61, '1za');
INSERT INTO cart VALUES (62, '1za');
INSERT INTO cart VALUES (63, '1za');
INSERT INTO cart VALUES (64, '1cha');
INSERT INTO cart VALUES (65, '1cha');
INSERT INTO cart VALUES (66, '1cha');
INSERT INTO cart VALUES (67, '1cha');
INSERT INTO cart VALUES (68, '1cha');
INSERT INTO cart VALUES (69, '1cha');
INSERT INTO cart VALUES (70, '1cha');
INSERT INTO cart VALUES (71, '1ka');
INSERT INTO cart VALUES (72, '1ka');
INSERT INTO cart VALUES (73, '1ka');
INSERT INTO cart VALUES (74, '1ka');
INSERT INTO cart VALUES (75, '1ka');
INSERT INTO cart VALUES (76, '1ka');
INSERT INTO cart VALUES (77, '1ka');
INSERT INTO cart VALUES (78, '1ta');
INSERT INTO cart VALUES (79, '1ta');
INSERT INTO cart VALUES (80, '1ta');
INSERT INTO cart VALUES (81, '1ta');
INSERT INTO cart VALUES (82, '1ta');
INSERT INTO cart VALUES (83, '1ta');
INSERT INTO cart VALUES (84, '1ta');
INSERT INTO cart VALUES (85, '1pa');
INSERT INTO cart VALUES (86, '1pa');
INSERT INTO cart VALUES (87, '1pa');
INSERT INTO cart VALUES (88, '1pa');
INSERT INTO cart VALUES (89, '1pa');
INSERT INTO cart VALUES (90, '1pa');
INSERT INTO cart VALUES (91, '1pa');
INSERT INTO cart VALUES (92, '1ha');
INSERT INTO cart VALUES (93, '1ha');
INSERT INTO cart VALUES (94, '1ha');
INSERT INTO cart VALUES (95, '1ha');
INSERT INTO cart VALUES (96, '1ha');
INSERT INTO cart VALUES (97, '1ha');
INSERT INTO cart VALUES (98, '1ha');
INSERT INTO cart VALUES (99, '2ga');
INSERT INTO cart VALUES (100, '2ga');
INSERT INTO cart VALUES (101, '2ga');
INSERT INTO cart VALUES (102, '2ga');
INSERT INTO cart VALUES (103, '2ga');
INSERT INTO cart VALUES (104, '2ga');
INSERT INTO cart VALUES (105, '2ga');
INSERT INTO cart VALUES (106, '2na');
INSERT INTO cart VALUES (107, '2da');
INSERT INTO cart VALUES (108, '2ra');
INSERT INTO cart VALUES (109, '2ma');
INSERT INTO cart VALUES (110, '2ba');
INSERT INTO cart VALUES (111, '2sa');
INSERT INTO cart VALUES (112, '2a');
INSERT INTO cart VALUES (113, '2za');
INSERT INTO cart VALUES (114, '2cha');
INSERT INTO cart VALUES (115, '2ka');
INSERT INTO cart VALUES (116, '2ta');
INSERT INTO cart VALUES (117, '2pa');
INSERT INTO cart VALUES (118, '2ha');
INSERT INTO cart VALUES (119, '3ga');
INSERT INTO cart VALUES (120, '3na');
INSERT INTO cart VALUES (121, '3da');
INSERT INTO cart VALUES (122, '3ra');
INSERT INTO cart VALUES (123, '3ma');
INSERT INTO cart VALUES (124, '3ba');
INSERT INTO cart VALUES (125, '3sa');
INSERT INTO cart VALUES (126, '3a');
INSERT INTO cart VALUES (127, '3za');
INSERT INTO cart VALUES (128, '3cha');
INSERT INTO cart VALUES (129, '3ka');
INSERT INTO cart VALUES (130, '3ta');
INSERT INTO cart VALUES (131, '3pa');
INSERT INTO cart VALUES (132, '3ha');
INSERT INTO cart VALUES (133, '4ga');
INSERT INTO cart VALUES (134, '4na');
INSERT INTO cart VALUES (135, '4da');
INSERT INTO cart VALUES (136, '4ra');
INSERT INTO cart VALUES (137, '4ma');
INSERT INTO cart VALUES (138, '4ba');
INSERT INTO cart VALUES (139, '4sa');
INSERT INTO cart VALUES (140, '4a');
INSERT INTO cart VALUES (141, '1ga');
INSERT INTO cart VALUES (142, '1na');
INSERT INTO cart VALUES (143, '1da');
INSERT INTO cart VALUES (144, '1ra');
INSERT INTO cart VALUES (145, '1ma');
INSERT INTO cart VALUES (146, '1ba');
INSERT INTO cart VALUES (147, '1sa');
INSERT INTO cart VALUES (148, '1a');
INSERT INTO cart VALUES (149, '1za');
INSERT INTO cart VALUES (150, '1cha');
# now
INSERT INTO cart VALUES (151, '1ga');
INSERT INTO cart VALUES (152, '1na');
INSERT INTO cart VALUES (153, '1da');
INSERT INTO cart VALUES (154, '1ra');
INSERT INTO cart VALUES (155, '1ma');
INSERT INTO cart VALUES (156, '1ba');
INSERT INTO cart VALUES (157, '1sa');
INSERT INTO cart VALUES (158, '1a');
INSERT INTO cart VALUES (159, '1za');
INSERT INTO cart VALUES (160, '1cha');
INSERT INTO cart VALUES (161, '1ka');
INSERT INTO cart VALUES (162, '1ta');
INSERT INTO cart VALUES (163, '1pa');
INSERT INTO cart VALUES (164, '1ha');
INSERT INTO cart VALUES (165, '2ga');
INSERT INTO cart VALUES (166, '2na');
INSERT INTO cart VALUES (167, '2da');
INSERT INTO cart VALUES (168, '2ra');
INSERT INTO cart VALUES (169, '2ma');
INSERT INTO cart VALUES (170, '2ba');
INSERT INTO cart VALUES (171, '2sa');
INSERT INTO cart VALUES (172, '2a');
INSERT INTO cart VALUES (173, '2za');
INSERT INTO cart VALUES (174, '2cha');
INSERT INTO cart VALUES (175, '2ka');
INSERT INTO cart VALUES (176, '2ta');
INSERT INTO cart VALUES (177, '2pa');
INSERT INTO cart VALUES (178, '2ha');
INSERT INTO cart VALUES (179, '3ga');
INSERT INTO cart VALUES (180, '3na');
INSERT INTO cart VALUES (181, '3da');
INSERT INTO cart VALUES (182, '3ra');
INSERT INTO cart VALUES (183, '3ma');
INSERT INTO cart VALUES (184, '3ba');
INSERT INTO cart VALUES (185, '3sa');
INSERT INTO cart VALUES (186, '3a');
INSERT INTO cart VALUES (187, '3za');
INSERT INTO cart VALUES (188, '3cha');
INSERT INTO cart VALUES (189, '3ka');
INSERT INTO cart VALUES (190, '3ta');
INSERT INTO cart VALUES (191, '3pa');
INSERT INTO cart VALUES (192, '3ha');
INSERT INTO cart VALUES (193, '4ga');
INSERT INTO cart VALUES (194, '4na');
INSERT INTO cart VALUES (195, '4da');
INSERT INTO cart VALUES (196, '4ra');
INSERT INTO cart VALUES (197, '4ma');
INSERT INTO cart VALUES (198, '4ba');
INSERT INTO cart VALUES (199, '4sa');
INSERT INTO cart VALUES (200, '4a');
INSERT INTO cart VALUES (201, '4za');
INSERT INTO cart VALUES (202, '4cha');
INSERT INTO cart VALUES (203, '4ka');
INSERT INTO cart VALUES (204, '4ta');
INSERT INTO cart VALUES (205, '4pa');
INSERT INTO putin VALUES (1,1,1);
INSERT INTO putin VALUES (2,3,2);
INSERT INTO putin VALUES (3,3,1);
INSERT INTO putin VALUES (4,3,2);
INSERT INTO putin VALUES (5,3,1);
INSERT INTO putin VALUES (6,4,2);
INSERT INTO putin VALUES (7,7,1);
INSERT INTO putin VALUES (8,8,2);
INSERT INTO putin VALUES (9,9,1);
INSERT INTO putin VALUES (10,10,2);
INSERT INTO putin VALUES (11,11,1);
INSERT INTO putin VALUES (12,12,2);
INSERT INTO putin VALUES (13,13,1);
INSERT INTO putin VALUES (14,5,2);
INSERT INTO putin VALUES (15,5,1);
INSERT INTO putin VALUES (16,5,2);
INSERT INTO putin VALUES (17,17,1);
INSERT INTO putin VALUES (18,18,2);
INSERT INTO putin VALUES (19,19,1);
INSERT INTO putin VALUES (20,20,2);
INSERT INTO putin VALUES (21,21,1);
INSERT INTO putin VALUES (22,22,2);
INSERT INTO putin VALUES (23,23,1);
INSERT INTO putin VALUES (24,24,2);
INSERT INTO putin VALUES (25,25,1);
INSERT INTO putin VALUES (26,26,2);
INSERT INTO putin VALUES (27,27,1);
INSERT INTO putin VALUES (28,28,2);
INSERT INTO putin VALUES (29,29,1);
INSERT INTO putin VALUES (30,30,2);
INSERT INTO putin VALUES (31,31,1);
INSERT INTO putin VALUES (32,32,2);
INSERT INTO putin VALUES (33,33,1);
INSERT INTO putin VALUES (34,34,2);
INSERT INTO putin VALUES (35,35,1);
INSERT INTO putin VALUES (36,36,2);
INSERT INTO putin VALUES (37,37,1);
INSERT INTO putin VALUES (38,38,2);
INSERT INTO putin VALUES (39,39,1);
INSERT INTO putin VALUES (40,40,2);
INSERT INTO putin VALUES (41,41,1);
INSERT INTO putin VALUES (42,42,2);
INSERT INTO putin VALUES (43,43,1);
INSERT INTO putin VALUES (44,44,2);
INSERT INTO putin VALUES (45,45,1);
INSERT INTO putin VALUES (46,1,1);
INSERT INTO putin VALUES (47,2,2);
INSERT INTO putin VALUES (48,3,1);
INSERT INTO putin VALUES (49,4,2);
INSERT INTO putin VALUES (50,5,1);
INSERT INTO putin VALUES (51,6,2);
INSERT INTO putin VALUES (52,7,1);
INSERT INTO putin VALUES (53,8,2);
INSERT INTO putin VALUES (54,9,1);
INSERT INTO putin VALUES (55,10,2);
INSERT INTO putin VALUES (56,11,1);
INSERT INTO putin VALUES (57,12,2);
INSERT INTO putin VALUES (58,13,1);
INSERT INTO putin VALUES (59,14,2);
INSERT INTO putin VALUES (60,15,1);
INSERT INTO putin VALUES (61,16,2);
INSERT INTO putin VALUES (62,17,1);
INSERT INTO putin VALUES (63,18,2);
INSERT INTO putin VALUES (64,19,1);
INSERT INTO putin VALUES (65,20,2);
INSERT INTO putin VALUES (66,21,1);
INSERT INTO putin VALUES (67,22,2);
INSERT INTO putin VALUES (68,23,1);
INSERT INTO putin VALUES (69,24,2);
INSERT INTO putin VALUES (70,25,1);
INSERT INTO putin VALUES (71,26,2);
INSERT INTO putin VALUES (72,27,1);
INSERT INTO putin VALUES (73,28,2);
INSERT INTO putin VALUES (74,29,1);
INSERT INTO putin VALUES (75,30,2);
INSERT INTO putin VALUES (76,31,1);
INSERT INTO putin VALUES (77,32,2);
INSERT INTO putin VALUES (78,33,1);
INSERT INTO putin VALUES (79,34,2);
INSERT INTO putin VALUES (80,35,1);
INSERT INTO putin VALUES (81,36,2);
INSERT INTO putin VALUES (82,37,1);
INSERT INTO putin VALUES (83,38,2);
INSERT INTO putin VALUES (84,39,1);
INSERT INTO putin VALUES (85,40,2);
INSERT INTO putin VALUES (86,41,1);
INSERT INTO putin VALUES (87,42,2);
INSERT INTO putin VALUES (88,43,1);
INSERT INTO putin VALUES (89,44,2);
INSERT INTO putin VALUES (90,45,1);
INSERT INTO putin VALUES (91,1,1);
INSERT INTO putin VALUES (92,2,2);
INSERT INTO putin VALUES (93,3,1);
INSERT INTO putin VALUES (94,4,2);
INSERT INTO putin VALUES (95,5,1);
INSERT INTO putin VALUES (96,6,2);
INSERT INTO putin VALUES (97,7,1);
INSERT INTO putin VALUES (98,8,2);
INSERT INTO putin VALUES (99,9,1);
INSERT INTO putin VALUES (100,10,2);
INSERT INTO putin VALUES (101,1,1);
INSERT INTO putin VALUES (102,2,2);
INSERT INTO putin VALUES (103,3,1);
INSERT INTO putin VALUES (104,4,2);
INSERT INTO putin VALUES (105,5,1);
INSERT INTO putin VALUES (106,6,2);
INSERT INTO putin VALUES (107,7,1);
INSERT INTO putin VALUES (108,8,2);
INSERT INTO putin VALUES (109,9,1);
INSERT INTO putin VALUES (110,10,2);
INSERT INTO putin VALUES (111,1,1);
INSERT INTO putin VALUES (112,2,2);
INSERT INTO putin VALUES (113,3,1);
INSERT INTO putin VALUES (114,4,2);
INSERT INTO putin VALUES (115,5,1);
INSERT INTO putin VALUES (116,6,2);
INSERT INTO putin VALUES (117,7,1);
INSERT INTO putin VALUES (118,8,2);
INSERT INTO putin VALUES (119,9,1);
INSERT INTO putin VALUES (120,10,2);
INSERT INTO putin VALUES (121,1,1);
INSERT INTO putin VALUES (122,2,2);
INSERT INTO putin VALUES (123,3,1);
INSERT INTO putin VALUES (124,4,2);
INSERT INTO putin VALUES (125,5,1);
INSERT INTO putin VALUES (126,6,2);
INSERT INTO putin VALUES (127,7,1);
INSERT INTO putin VALUES (128,8,2);
INSERT INTO putin VALUES (129,9,1);
INSERT INTO putin VALUES (130,10,2);
INSERT INTO putin VALUES (131,1,1);
INSERT INTO putin VALUES (132,2,2);
INSERT INTO putin VALUES (133,3,1);
INSERT INTO putin VALUES (134,4,2);
INSERT INTO putin VALUES (135,5,1);
INSERT INTO putin VALUES (136,1,1);
INSERT INTO putin VALUES (137,2,2);
INSERT INTO putin VALUES (138,3,1);
INSERT INTO putin VALUES (139,4,2);
INSERT INTO putin VALUES (140,5,1);
INSERT INTO putin VALUES (141,6,2);
INSERT INTO putin VALUES (142,7,1);
INSERT INTO putin VALUES (143,8,2);
INSERT INTO putin VALUES (144,9,1);
INSERT INTO putin VALUES (145,10,2);
INSERT INTO putin VALUES (146,11,1);
INSERT INTO putin VALUES (147,12,2);
INSERT INTO putin VALUES (148,13,1);
INSERT INTO putin VALUES (149,14,2);
INSERT INTO putin VALUES (150,15,1);
# test
INSERT INTO putin VALUES (2,8,1);
INSERT INTO putin VALUES (2,4,1);
INSERT INTO putin VALUES (2,5,1);
INSERT INTO putin VALUES (2,6,1);
INSERT INTO putin VALUES (2,7,1);
INSERT INTO putin VALUES (4,8,1);
INSERT INTO putin VALUES (4,4,1);
INSERT INTO putin VALUES (4,5,1);
INSERT INTO putin VALUES (4,6,1);
INSERT INTO putin VALUES (4,7,1);
INSERT INTO putin VALUES (93,18,1);
INSERT INTO putin VALUES (93,14,1);
INSERT INTO putin VALUES (93,15,1);
INSERT INTO putin VALUES (93,6,1);
INSERT INTO putin VALUES (93,7,1);
INSERT INTO putin VALUES (103,14,1);
INSERT INTO putin VALUES (103,15,1);
INSERT INTO putin VALUES (103,16,1);
INSERT INTO putin VALUES (133,16,1);
INSERT INTO putin VALUES (138,4,1);
# now
INSERT INTO putin VALUES (151,16,2);
INSERT INTO putin VALUES (151,15,2);
INSERT INTO putin VALUES (151,14,2);
INSERT INTO putin VALUES (151,13,2);
INSERT INTO putin VALUES (151,12,2);
INSERT INTO putin VALUES (151,11,2);
INSERT INTO putin VALUES (151,10,2);
INSERT INTO putin VALUES (151,9,2);
INSERT INTO putin VALUES (151,8,2);
INSERT INTO putin VALUES (151,7,2);
INSERT INTO putin VALUES (152,17,1);
INSERT INTO putin VALUES (152,18,1);
INSERT INTO putin VALUES (152,19,1);
INSERT INTO putin VALUES (152,20,1);
INSERT INTO putin VALUES (152,21,1);
INSERT INTO putin VALUES (152,22,1);
INSERT INTO putin VALUES (152,23,1);
INSERT INTO putin VALUES (152,24,1);
INSERT INTO putin VALUES (152,25,1);
INSERT INTO putin VALUES (152,26,1);
INSERT INTO putin VALUES (153,18,2);
INSERT INTO putin VALUES (153,17,2);
INSERT INTO putin VALUES (153,16,2);
INSERT INTO putin VALUES (153,15,2);
INSERT INTO putin VALUES (153,14,2);
INSERT INTO putin VALUES (153,13,2);
INSERT INTO putin VALUES (153,12,2);
INSERT INTO putin VALUES (153,11,2);
INSERT INTO putin VALUES (153,10,2);
INSERT INTO putin VALUES (153,9,2);
INSERT INTO putin VALUES (154,19,1);
INSERT INTO putin VALUES (154,20,1);
INSERT INTO putin VALUES (154,21,1);
INSERT INTO putin VALUES (154,22,1);
INSERT INTO putin VALUES (154,23,1);
INSERT INTO putin VALUES (154,24,1);
INSERT INTO putin VALUES (154,25,1);
INSERT INTO putin VALUES (154,26,1);
INSERT INTO putin VALUES (154,27,1);
INSERT INTO putin VALUES (154,28,1);
INSERT INTO putin VALUES (155,20,2);
INSERT INTO putin VALUES (155,19,2);
INSERT INTO putin VALUES (155,18,2);
INSERT INTO putin VALUES (155,17,2);
INSERT INTO putin VALUES (155,16,2);
INSERT INTO putin VALUES (155,15,2);
INSERT INTO putin VALUES (155,14,2);
INSERT INTO putin VALUES (155,13,2);
INSERT INTO putin VALUES (155,12,2);
INSERT INTO putin VALUES (155,11,2);
INSERT INTO putin VALUES (156,21,1);
INSERT INTO putin VALUES (156,22,1);
INSERT INTO putin VALUES (156,23,1);
INSERT INTO putin VALUES (156,24,1);
INSERT INTO putin VALUES (156,25,1);
INSERT INTO putin VALUES (156,26,1);
INSERT INTO putin VALUES (156,27,1);
INSERT INTO putin VALUES (156,28,1);
INSERT INTO putin VALUES (156,29,1);
INSERT INTO putin VALUES (156,30,1);
INSERT INTO putin VALUES (157,22,2);
INSERT INTO putin VALUES (157,21,2);
INSERT INTO putin VALUES (157,20,2);
INSERT INTO putin VALUES (157,19,2);
INSERT INTO putin VALUES (157,18,2);
INSERT INTO putin VALUES (157,17,2);
INSERT INTO putin VALUES (157,16,2);
INSERT INTO putin VALUES (157,15,2);
INSERT INTO putin VALUES (157,14,2);
INSERT INTO putin VALUES (157,13,2);
INSERT INTO putin VALUES (158,23,1);
INSERT INTO putin VALUES (158,24,1);
INSERT INTO putin VALUES (158,25,1);
INSERT INTO putin VALUES (158,26,1);
INSERT INTO putin VALUES (158,27,1);
INSERT INTO putin VALUES (158,28,1);
INSERT INTO putin VALUES (158,29,1);
INSERT INTO putin VALUES (158,30,1);
INSERT INTO putin VALUES (158,31,1);
INSERT INTO putin VALUES (158,32,1);
INSERT INTO putin VALUES (159,24,2);
INSERT INTO putin VALUES (159,23,2);
INSERT INTO putin VALUES (159,22,2);
INSERT INTO putin VALUES (159,21,2);
INSERT INTO putin VALUES (159,20,2);
INSERT INTO putin VALUES (159,19,2);
INSERT INTO putin VALUES (159,18,2);
INSERT INTO putin VALUES (159,17,2);
INSERT INTO putin VALUES (159,16,2);
INSERT INTO putin VALUES (159,15,2);
INSERT INTO putin VALUES (160,25,1);
INSERT INTO putin VALUES (160,26,1);
INSERT INTO putin VALUES (160,27,1);
INSERT INTO putin VALUES (160,28,1);
INSERT INTO putin VALUES (160,29,1);
INSERT INTO putin VALUES (160,30,1);
INSERT INTO putin VALUES (160,31,1);
INSERT INTO putin VALUES (160,32,1);
INSERT INTO putin VALUES (160,33,1);
INSERT INTO putin VALUES (160,34,1);
INSERT INTO putin VALUES (161,36,2);
INSERT INTO putin VALUES (162,37,1);
INSERT INTO putin VALUES (163,38,2);
INSERT INTO putin VALUES (164,39,1);
INSERT INTO putin VALUES (165,40,2);
INSERT INTO putin VALUES (166,8,1);
INSERT INTO putin VALUES (167,42,2);
INSERT INTO putin VALUES (168,43,1);
INSERT INTO putin VALUES (169,44,2);
INSERT INTO putin VALUES (170,45,1);
INSERT INTO nowcart VALUES (0, 'admin');
INSERT INTO nowcart VALUES (151, '1ga');
INSERT INTO nowcart VALUES (152, '1na');
INSERT INTO nowcart VALUES (153, '1da');
INSERT INTO nowcart VALUES (154, '1ra');
INSERT INTO nowcart VALUES (155, '1ma');
INSERT INTO nowcart VALUES (156, '1ba');
INSERT INTO nowcart VALUES (157, '1sa');
INSERT INTO nowcart VALUES (158, '1a');
INSERT INTO nowcart VALUES (159, '1za');
INSERT INTO nowcart VALUES (160, '1cha');
INSERT INTO nowcart VALUES (161, '1ka');
INSERT INTO nowcart VALUES (162, '1ta');
INSERT INTO nowcart VALUES (163, '1pa');
INSERT INTO nowcart VALUES (164, '1ha');
INSERT INTO nowcart VALUES (165, '2ga');
INSERT INTO nowcart VALUES (166, '2na');
INSERT INTO nowcart VALUES (167, '2da');
INSERT INTO nowcart VALUES (168, '2ra');
INSERT INTO nowcart VALUES (169, '2ma');
INSERT INTO nowcart VALUES (170, '2ba');
INSERT INTO nowcart VALUES (171, '2sa');
INSERT INTO nowcart VALUES (172, '2a');
INSERT INTO nowcart VALUES (173, '2za');
INSERT INTO nowcart VALUES (174, '2cha');
INSERT INTO nowcart VALUES (175, '2ka');
INSERT INTO nowcart VALUES (176, '2ta');
INSERT INTO nowcart VALUES (177, '2pa');
INSERT INTO nowcart VALUES (178, '2ha');
INSERT INTO nowcart VALUES (179, '3ga');
INSERT INTO nowcart VALUES (180, '3na');
INSERT INTO nowcart VALUES (181, '3da');
INSERT INTO nowcart VALUES (182, '3ra');
INSERT INTO nowcart VALUES (183, '3ma');
INSERT INTO nowcart VALUES (184, '3ba');
INSERT INTO nowcart VALUES (185, '3sa');
INSERT INTO nowcart VALUES (186, '3a');
INSERT INTO nowcart VALUES (187, '3za');
INSERT INTO nowcart VALUES (188, '3cha');
INSERT INTO nowcart VALUES (189, '3ka');
INSERT INTO nowcart VALUES (190, '3ta');
INSERT INTO nowcart VALUES (191, '3pa');
INSERT INTO nowcart VALUES (192, '3ha');
INSERT INTO nowcart VALUES (193, '4ga');
INSERT INTO nowcart VALUES (194, '4na');
INSERT INTO nowcart VALUES (195, '4da');
INSERT INTO nowcart VALUES (196, '4ra');
INSERT INTO nowcart VALUES (197, '4ma');
INSERT INTO nowcart VALUES (198, '4ba');
INSERT INTO nowcart VALUES (199, '4sa');
INSERT INTO nowcart VALUES (200, '4a');
INSERT INTO nowcart VALUES (201, '4za');
INSERT INTO nowcart VALUES (202, '4cha');
INSERT INTO nowcart VALUES (203, '4ka');
INSERT INTO nowcart VALUES (204, '4ta');
INSERT INTO nowcart VALUES (205, '4pa');
INSERT INTO orders VALUES (1,1,'2018-10-22');
INSERT INTO orders VALUES (2,2,'2018-10-22');
INSERT INTO orders VALUES (3,3,'2018-10-22');
INSERT INTO orders VALUES (4,4,'2018-10-22');
INSERT INTO orders VALUES (5,4,'2018-10-22');
INSERT INTO orders VALUES (6,4,'2018-10-22');
INSERT INTO orders VALUES (7,4,'2018-09-22');
INSERT INTO orders VALUES (8,8,'2018-09-22');
INSERT INTO orders VALUES (9,9,'2018-09-22');
INSERT INTO orders VALUES (10,10,'2018-09-22');
INSERT INTO orders VALUES (11,11,'2018-09-22');
INSERT INTO orders VALUES (12,12,'2018-09-22');
INSERT INTO orders VALUES (13,13,'2018-08-22');
INSERT INTO orders VALUES (14,14,'2018-08-22');
INSERT INTO orders VALUES (15,2,'2018-08-22');
INSERT INTO orders VALUES (16,1,'2018-08-22');
INSERT INTO orders VALUES (17,1,'2018-08-22');
INSERT INTO orders VALUES (18,1,'2018-08-22');
INSERT INTO orders VALUES (19,4,'2018-07-22');
INSERT INTO orders VALUES (20,5,'2018-07-22');
INSERT INTO orders VALUES (21,6,'2018-07-22');
INSERT INTO orders VALUES (22,7,'2018-07-22');
INSERT INTO orders VALUES (23,8,'2018-07-22');
INSERT INTO orders VALUES (24,9,'2018-07-22');
INSERT INTO orders VALUES (25,10,'2018-07-22');
INSERT INTO orders VALUES (26,11,'2018-06-22');
INSERT INTO orders VALUES (27,12,'2018-06-22');
INSERT INTO orders VALUES (28,13,'2018-06-22');
INSERT INTO orders VALUES (29,14,'2018-06-22');
INSERT INTO orders VALUES (30,15,'2018-06-22');
INSERT INTO orders VALUES (31,1,'2018-06-22');
INSERT INTO orders VALUES (32,2,'2018-05-22');
INSERT INTO orders VALUES (33,3,'2018-05-22');
INSERT INTO orders VALUES (34,4,'2018-05-22');
INSERT INTO orders VALUES (35,5,'2018-05-22');
INSERT INTO orders VALUES (36,6,'2018-05-22');
INSERT INTO orders VALUES (37,7,'2018-05-22');
INSERT INTO orders VALUES (38,8,'2018-04-22');
INSERT INTO orders VALUES (39,9,'2018-04-22');
INSERT INTO orders VALUES (40,10,'2018-04-22');
INSERT INTO orders VALUES (41,11,'2018-04-22');
INSERT INTO orders VALUES (42,12,'2018-04-22');
INSERT INTO orders VALUES (43,13,'2018-04-22');
INSERT INTO orders VALUES (44,14,'2018-04-22');
INSERT INTO orders VALUES (45,15,'2018-04-22');
INSERT INTO orders VALUES (46,1,'2018-03-22');
INSERT INTO orders VALUES (47,2,'2018-03-22');
INSERT INTO orders VALUES (48,3,'2018-03-22');
INSERT INTO orders VALUES (49,4,'2018-03-22');
INSERT INTO orders VALUES (50,5,'2018-03-22');
INSERT INTO orders VALUES (51,6,'2018-03-22');
INSERT INTO orders VALUES (52,7,'2018-03-22');
INSERT INTO orders VALUES (53,8,'2018-02-22');
INSERT INTO orders VALUES (54,9,'2018-02-22');
INSERT INTO orders VALUES (55,10,'2018-02-22');
INSERT INTO orders VALUES (56,11,'2018-02-22');
INSERT INTO orders VALUES (57,12,'2018-02-22');
INSERT INTO orders VALUES (58,13,'2018-02-22');
INSERT INTO orders VALUES (59,14,'2018-01-22');
INSERT INTO orders VALUES (60,15,'2018-01-22');
INSERT INTO orders VALUES (61,1,'2018-01-22');
INSERT INTO orders VALUES (62,2,'2018-01-22');
INSERT INTO orders VALUES (63,3,'2018-01-22');
INSERT INTO orders VALUES (64,4,'2018-01-22');
INSERT INTO orders VALUES (65,5,'2017-12-22');
INSERT INTO orders VALUES (66,6,'2017-12-22');
INSERT INTO orders VALUES (67,7,'2017-12-22');
INSERT INTO orders VALUES (68,8,'2017-12-22');
INSERT INTO orders VALUES (69,9,'2017-12-22');
INSERT INTO orders VALUES (70,10,'2017-12-22');
INSERT INTO orders VALUES (71,11,'2017-11-22');
INSERT INTO orders VALUES (72,12,'2017-11-22');
INSERT INTO orders VALUES (73,13,'2017-11-22');
INSERT INTO orders VALUES (74,14,'2017-11-22');
INSERT INTO orders VALUES (75,15,'2017-11-22');
INSERT INTO orders VALUES (76,1,'2017-11-22');
INSERT INTO orders VALUES (77,2,'2017-11-22');
INSERT INTO orders VALUES (78,3,'2017-10-22');
INSERT INTO orders VALUES (79,4,'2017-10-22');
INSERT INTO orders VALUES (80,5,'2017-10-22');
INSERT INTO orders VALUES (81,6,'2017-10-22');
INSERT INTO orders VALUES (82,7,'2017-10-22');
INSERT INTO orders VALUES (83,8,'2017-10-22');
INSERT INTO orders VALUES (84,9,'2017-09-22');
INSERT INTO orders VALUES (85,10,'2017-09-22');
INSERT INTO orders VALUES (86,11,'2017-09-22');
INSERT INTO orders VALUES (87,12,'2017-09-22');
INSERT INTO orders VALUES (88,13,'2017-09-22');
INSERT INTO orders VALUES (89,14,'2017-09-22');
INSERT INTO orders VALUES (90,15,'2017-08-22');
INSERT INTO orders VALUES (91,1,'2017-08-22');
INSERT INTO orders VALUES (92,2,'2017-08-22');
INSERT INTO orders VALUES (93,3,'2017-08-22');
INSERT INTO orders VALUES (94,4,'2017-08-22');
INSERT INTO orders VALUES (95,5,'2017-08-22');
INSERT INTO orders VALUES (96,6,'2017-07-22');
INSERT INTO orders VALUES (97,7,'2017-07-22');
INSERT INTO orders VALUES (98,8,'2017-07-22');
INSERT INTO orders VALUES (99,9,'2017-07-22');
INSERT INTO orders VALUES (100,10,'2017-07-22');
INSERT INTO orders VALUES (101,11,'2017-07-22');
INSERT INTO orders VALUES (102,12,'2017-07-22');
INSERT INTO orders VALUES (103,13,'2017-06-22');
INSERT INTO orders VALUES (104,14,'2017-06-22');
INSERT INTO orders VALUES (105,15,'2017-06-22');
INSERT INTO orders VALUES (106,1,'2017-06-22');
INSERT INTO orders VALUES (107,2,'2017-06-22');
INSERT INTO orders VALUES (108,3,'2017-06-22');
INSERT INTO orders VALUES (109,4,'2017-05-22');
INSERT INTO orders VALUES (110,5,'2017-05-22');
INSERT INTO orders VALUES (111,6,'2017-05-22');
INSERT INTO orders VALUES (112,7,'2017-05-22');
INSERT INTO orders VALUES (113,8,'2017-05-22');
INSERT INTO orders VALUES (114,9,'2017-05-22');
INSERT INTO orders VALUES (115,10,'2017-04-22');
INSERT INTO orders VALUES (116,11,'2017-04-22');
INSERT INTO orders VALUES (117,12,'2017-04-22');
INSERT INTO orders VALUES (118,13,'2017-04-22');
INSERT INTO orders VALUES (119,14,'2017-04-22');
INSERT INTO orders VALUES (120,15,'2017-04-22');
INSERT INTO orders VALUES (121,1,'2017-03-22');
INSERT INTO orders VALUES (122,2,'2017-03-22');
INSERT INTO orders VALUES (123,3,'2017-03-22');
INSERT INTO orders VALUES (124,4,'2017-03-22');
INSERT INTO orders VALUES (125,5,'2017-03-22');
INSERT INTO orders VALUES (126,6,'2017-03-22');
INSERT INTO orders VALUES (127,7,'2017-03-22');
INSERT INTO orders VALUES (128,8,'2017-02-22');
INSERT INTO orders VALUES (129,9,'2017-02-22');
INSERT INTO orders VALUES (130,10,'2017-02-22');
INSERT INTO orders VALUES (131,11,'2017-02-22');
INSERT INTO orders VALUES (132,12,'2017-02-22');
INSERT INTO orders VALUES (133,13,'2017-02-22');
INSERT INTO orders VALUES (134,14,'2017-01-22');
INSERT INTO orders VALUES (135,15,'2017-01-22');
INSERT INTO orders VALUES (136,1,'2017-01-22');
INSERT INTO orders VALUES (137,2,'2017-01-22');
INSERT INTO orders VALUES (138,3,'2017-01-22');
INSERT INTO orders VALUES (139,4,'2017-01-22');
INSERT INTO orders VALUES (140,5,'2017-12-22');
INSERT INTO orders VALUES (141,6,'2017-12-22');
INSERT INTO orders VALUES (142,8,'2017-12-22');
INSERT INTO orders VALUES (143,8,'2017-12-22');
INSERT INTO orders VALUES (144,9,'2017-12-22');
INSERT INTO orders VALUES (145,10,'2017-12-22');
INSERT INTO orders VALUES (146,10,'2017-11-22');
INSERT INTO orders VALUES (147,10,'2017-11-22');
INSERT INTO orders VALUES (148,10,'2017-11-22');
INSERT INTO orders VALUES (149,9,'2017-11-22');
INSERT INTO orders VALUES (150,9,'2017-11-22');
ALTER TABLE item ADD FOREIGN KEY (Iprovider) REFERENCES provider(Pid);
ALTER TABLE item ADD FOREIGN KEY (Icategory) REFERENCES category(Catid);
ALTER TABLE cart ADD FOREIGN KEY (Cusid) REFERENCES customer(Cusid);
ALTER TABLE orders ADD FOREIGN KEY (CartID) REFERENCES cart(CartID);
ALTER TABLE putin ADD FOREIGN KEY (CartID) REFERENCES cart(CartID);
ALTER TABLE orders ADD FOREIGN KEY (RID) REFERENCES retailer(RID);
ALTER TABLE putin ADD FOREIGN KEY (ItemID) REFERENCES item(ItemID);
ALTER TABLE stores ADD FOREIGN KEY (ItemID) REFERENCES item(ItemID);
ALTER TABLE stores ADD FOREIGN KEY (RID) REFERENCES retailer(RID);
ALTER TABLE nowcart ADD FOREIGN KEY (Cusid) REFERENCES customer(Cusid);
ALTER TABLE nowcart ADD FOREIGN KEY (CartID) REFERENCES cart(CartID);
| true |
ba1efbba1ad6deeaa4c1f13eedff84e600ad65a8 | SQL | jonasmartins-dev/processos | /processos.sql | UTF-8 | 2,608 | 3.859375 | 4 | [] | no_license | CREATE DATABASE IF NOT EXISTS `processos`;
USE `processos`;
CREATE TABLE IF NOT EXISTS `advogados` (
`id_advogado` int(100) NOT NULL AUTO_INCREMENT,
`nome` varchar(200) DEFAULT NULL,
`oab` varchar(100) DEFAULT NULL,
`cpf` varchar(100) DEFAULT NULL,
`email` varchar(200) DEFAULT NULL,
`senha` varchar(255) DEFAULT NULL,
`perfil` enum('Advogado','Gestor') DEFAULT 'Advogado',
`criacao_dt` timestamp NULL DEFAULT current_timestamp(),
`atualizacao_dt` timestamp NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
PRIMARY KEY (`id_advogado`)
) ENGINE=InnoDB;
INSERT INTO `advogados` (`id_advogado`, `nome`, `oab`, `cpf`, `email`, `senha`, `perfil`)
VALUES
(1, 'Gestor', 'Gestor', '02129316522', 'gestor@gestor.com', 'f7ff3c8ea53e68bd308e6deed6a01a98c7886308', 'Gestor');
CREATE TABLE IF NOT EXISTS `clientes` (
`id_cliente` int(100) NOT NULL AUTO_INCREMENT,
`nome` varchar(200) DEFAULT NULL,
`cpf` varchar(100) DEFAULT NULL,
`telefone` varchar(50) DEFAULT NULL,
`nascimento_dt` date DEFAULT NULL,
`criacao_dt` timestamp NULL DEFAULT current_timestamp(),
`atualizacao_dt` timestamp NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
PRIMARY KEY (`id_cliente`)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS `processos` (
`id_processo` int(100) NOT NULL AUTO_INCREMENT,
`num_proc` int(100) DEFAULT NULL,
`area` enum('Administrativo','Civil','Consumidor','Criminal','Eleitoral','Trabalhista','Previdenciário') NOT NULL,
`advogado_id` int(100) DEFAULT NULL,
`cliente_id` int(100) DEFAULT NULL,
`criacao_dt` timestamp NULL DEFAULT current_timestamp(),
`atualizacao_dt` timestamp NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
PRIMARY KEY (`id_processo`),
KEY `FK_advogado` (`advogado_id`),
KEY `FK_cliente` (`cliente_id`),
KEY `num_proc` (`num_proc`),
CONSTRAINT `FK_advogado` FOREIGN KEY (`advogado_id`) REFERENCES `advogados` (`id_advogado`),
CONSTRAINT `FK_cliente` FOREIGN KEY (`cliente_id`) REFERENCES `clientes` (`id_cliente`)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS `movimentacoes` (
`id_movimentacao` int(100) NOT NULL AUTO_INCREMENT,
`descricao` varchar(200) DEFAULT NULL,
`processo_num` int(100) DEFAULT NULL,
`criacao_dt` timestamp NULL DEFAULT current_timestamp(),
`atualizacao_dt` timestamp NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
PRIMARY KEY (`id_movimentacao`),
KEY `FK_processo` (`processo_num`),
CONSTRAINT `FK_processo` FOREIGN KEY (`processo_num`) REFERENCES `processos` (`num_proc`)
) ENGINE=InnoDB; | true |
b04ce69d0de21928621564904cf9992462cc23d4 | SQL | srshin/java | /JavaProject/src/com/encore/day15/day3.sql | UTF-8 | 1,946 | 4.8125 | 5 | [] | no_license | -- subquery
--neena가 근무하는 부서의 이름?
select department_id, first_name
from EMPLOYEES
where first_name = 'Neena';
select department_name
from departments d
where department_id = (
select department_id
from EMPLOYEES
where first_name = 'Neena'
);
select first_name, department_name
from departments d join employees e
on e.first_name = 'Neena' and e.department_id = d.department_id;
select department_name
from departments d
where d.department_id in (
select department_id
from employees
where first_name = 'Steven'
);
select department_name
from departments d join employees e
on d.department_id = e.department_id
and e.first_name = 'Steven'
-- 평균 급여 이상을 받고 있는 직원의 이름
select *
from employees
where salary >= (
select avg(salary)
from employees
)
--최대급여를 받고 있는 직원
select first_name, salary
from employees
where salary = (
select max(salary)
from employees )
--데이비드가 근무하는 부서의 이름 찾기
select department_name
from departments
where department_id in (
select department_id
from employees
where first_name = 'David')
select department_name
from departments
where department_id = any (
select department_id
from employees
where first_name = 'David')
-- 20000보다 커야 함. = and
select first_name, salary
from employees
where salary >= all (15000, 20000)
-- 15000보다 크면 됨. = or
select first_name, salary
from employees
where salary >= any (15000, 20000)
-- 30번 부서의 직원들의 급여보다 많은 급여를 받는 직원들을 조회하라
select *
from employees
where salary > all (
select salary
from employees
where department_id = 30)
select *
from employees
where salary > (
select max(salary)
from employees
where department_id = 30)
select *
from employees
where salary > (
select min (salary)
from employees
where department_id = 30)
| true |
5a3b31462cafcbeeb672622a79edf872bfb36293 | SQL | Ceglee/wharyo | /wharyo/sql/db-model.sql | UTF-8 | 185 | 2.5625 | 3 | [] | no_license | CREATE TYPE layer_type AS ENUM ('DATABASE', 'SHAPEFILE')
CREATE TABLE layer_config (
id INTEGER PRIMARY KEY,
layer_name VARCHAR(255) NOT NULL UNIQUE,
layer_type layer_type NOT NULL
) | true |
a4d0096fa87606c502d596ff866bf89a0ff3387c | SQL | coderdude1/totp_experiment | /Common/src/main/resources/sql/common/V1__CreateUserTable.sql | UTF-8 | 306 | 2.75 | 3 | [] | no_license | CREATE TABLE users (
id serial primary key,
first_name varchar(40),
last_name varchar(50),
email varchar(512)
);
ALTER TABLE users ALTER COLUMN first_name SET NOT NULL;
ALTER TABLE users ALTER COLUMN last_name SET NOT NULL;
ALTER TABLE users ALTER COLUMN email SET NOT NULL; | true |
d21bed0e1f2b25b12361c555cf63f5d244ec44a7 | SQL | vanessahuhn/SQL-queries | /exercice_restaurants/bd_restaurants_corrigee/create_table_restaurant.sql | UTF-8 | 966 | 3.578125 | 4 | [] | no_license | -- Dans la base de données bd_restaurants
USE bd_restaurants;
-- créer une table RESTAURANT qui contient
CREATE TABLE RESTAURANT (
-- le champ idRestaurant qui aura des valeurs de type int, ne pourra pas être NULL et s'auto-incrémente
idRestaurant INT NOT NULL AUTO_INCREMENT,
-- le champ nomRestaurant qui aura des valeurs de type chaîne de caractères de longueur maximale 40
nomRestaurant VARCHAR(40),
-- le champ typeCuisine qui aura des valeurs de type chaîne de caractères de longueur maximale 40
typeCuisine VARCHAR(40),
-- le champ nomProprietaire qui aura des valeurs de type chaîne de caractères de longueur maximale 40
nomProprietaire VARCHAR(40),
-- le champ nombreEmployes qui aura des valeurs de type integer
nombreEmployes INT,
-- le champ nombreSalles qui aura des valeurs de type integer
nombreSalles INT,
-- La clé primaire de cette table sera le champ idRestaurant
PRIMARY KEY(idRestaurant)
); | true |
17236f6daf4947b35b2dd4defdc81ce40313ec92 | SQL | hurd-x0/hotel-reservation | /data/cassandra/003_load_data.cql | UTF-8 | 528 | 2.515625 | 3 | [] | no_license | -- hotel
INSERT INTO hotel (hotel_name, hotel_address)
VALUES ('NH Hotels', 'NH Address');
INSERT INTO hotel (hotel_name, hotel_address)
VALUES ('AC Hotels', 'AC Address');
-- room_by_hotel
INSERT INTO room_by_hotel (hotel_name, room_number, room_description)
VALUES ('NH Hotels', 'NH-R1', 'Standard');
INSERT INTO room_by_hotel (hotel_name, room_number, room_description)
VALUES ('NH Hotels', 'NH-R2', 'Luxury');
INSERT INTO room_by_hotel (hotel_name, room_number, room_description)
VALUES ('AC Hotels', 'AC-R1', 'Standard');
| true |
a55584053c65c5b31e2ef6479e087a3ec4a64977 | SQL | CADSV/ProyectoCAVBases1 | /scriptsDB/view/B_View.sql | UTF-8 | 1,700 | 4.09375 | 4 | [] | no_license | -- REPORTE B: ¿Cuál es el usuario que ha visto más episodios de series originales?
-- Imprimir la información del usuario, de dónde es y la cantidad de episodios vistos.
-- SEGUNDA ENTREGA (LISTO)
CREATE VIEW reporte_B AS
SELECT U.IdUser, U.Username, U.NameUser, U.LastNameUser, U.UserIsSuscribed, Ci.CityName, Co.CountryName, SUM(H.TimesSeen) AS NumEp
FROM User AS U, City As Ci, Country AS Co, HasSeen AS H, Profile AS P, EpisodicContent AS E
WHERE (U.IdCity = Ci.IdCity) AND (Ci.IdCountry = Co.IdCountry) AND (U.IdUser = P.IdUser) AND (P.IdProfile = H.IdProfile) AND (H.IdContent = E.IdContent) AND (E.IsOriginalCont = 1) AND
(U.IdUser = (SELECT PD.IdUser
FROM (SELECT P.IdUser
FROM User as U, City as C, EpisodicContent as E, HasSeen as H, Profile as P
WHERE (U.IdCity = C.IdCity) AND (U.IdUser = P.IdUser) AND (P.IdProfile = H.IdProfile) AND (H.IdContent = E.IdContent) AND (E.IsOriginalCont = 1)) AS PD -- PD: Profiles Data
GROUP BY PD.IdUser
HAVING COUNT(PD.IdUser) = (SELECT MAX(myTable.myCount)
FROM ( SELECT COUNT(PD.IdUser) as myCount
FROM (SELECT P.IdUser
FROM User as U, City as C, EpisodicContent as E, HasSeen as H, Profile as P
WHERE (U.IdCity = C.IdCity) AND (U.IdUser = P.IdUser) AND (P.IdProfile = H.IdProfile) AND (H.IdContent = E.IdContent) AND (E.IsOriginalCont = 1) ) as PD
GROUP BY PD.IdUser) as myTable)) ) ;
| true |
36fb11470053b73cc1fdf21bf872aa9d94c47dfb | SQL | BasileBr/discord_vertefeuille_bot | /src/build.sql | UTF-8 | 2,927 | 3.359375 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS Jobs (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
GuildId bigint NOT NULL,
Job text NOT NULL,
"Name" varchar(100) NOT NULL,
Id SERIAL,
PRIMARY KEY("Name", Job));
CREATE TABLE IF NOT EXISTS JobsAnvils (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
Id integer NOT NULL,
Tier Text NOT NULL,
Bronze boolean NOT NULL,
Gold boolean NOT NULL,
PRIMARY KEY(Id, Tier));
CREATE TABLE IF NOT EXISTS Reputations (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
"Name" varchar(100),
Faction varchar(100),
Level text,
GuildId bigint NOT NULL,
PRIMARY KEY("Name", Faction));
CREATE TABLE IF NOT EXISTS Allegiances (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
"Name" varchar(100),
Allegiance varchar(100),
Level int,
GuildId bigint NOT NULL,
PRIMARY KEY("Name", Allegiance));
CREATE TABLE IF NOT EXISTS Characters (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
GuildId bigint NOT NULL,
Class text NOT NULL,
"Level" SMALLINT,
MainTrait text NOT NULL,
"Name" varchar(100),
PRIMARY KEY ("Name"));
CREATE TABLE IF NOT EXISTS Craftsmanship (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
"Name" varchar(100),
Guild varchar(100),
Level text,
GuildId bigint NOT NULL,
PRIMARY KEY("Name", Guild));
CREATE TABLE IF NOT EXISTS ReportId (
CreatedBy text NOT NULL,
GuildId bigint NOT NULL,
Id bigint NOT NULL,
PRIMARY KEY(GuildId, Id));
CREATE TABLE IF NOT EXISTS AdminId (
CreatedBy text NOT NULL,
GuildId bigint NOT NULL,
Id bigint NOT NULL,
PRIMARY KEY(GuildId, Id));
CREATE TABLE IF NOT EXISTS TwitterAccounts (
CreatedBy text NOT NULL,
Username varchar(100) PRIMARY KEY );
CREATE TABLE IF NOT EXISTS TwitterChannels (
CreatedBy text NOT NULL,
Username varchar(100),
Channel bigint NOT NULL,
Id SERIAL,
PRIMARY KEY (Username, Channel));
CREATE TABLE IF NOT EXISTS TwitterFilters (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
Id integer NOT NULL,
Sentence varchar(300),
PRIMARY KEY(Id, Sentence));
CREATE TABLE IF NOT EXISTS Calendar (
CreatedBy text NOT NULL,
UpdatedBy text NOT NULL,
"Name" varchar(100) NOT NULL,
GuildId bigint NOT NULL,
ChannelId bigint NOT NULL,
"Begin" bigint NOT NULL,
"End" bigint NOT NULL,
Description text NOT NULL,
PRIMARY KEY("Name", "Begin"));
| true |
201f740330b3cb8eb8c12b2ac7ae16b2267826e0 | SQL | StudiesAndMe/backend-exercise | /src/main/resources/db/migration/V1__tasks.sql | UTF-8 | 498 | 2.703125 | 3 | [] | no_license | CREATE TABLE tasks
(
id VARCHAR(36) NOT NULL PRIMARY KEY,
description TEXT NOT NULL,
createdAt TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
modified TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
);
INSERT INTO tasks (id, description) VALUES
('4e404522-1c56-11eb-adc1-0242ac120002', 'demo task 1'),
('5420698d-791d-4edd-9dea-a3dc4947b68a', 'demo task 2'),
('6e9370bf-fa01-4e63-941a-0ecfc451aff7', 'demo task 3'); | true |
33000efe958e8efdb9d142077f9e1f3bf855ca28 | SQL | phantoan/liferay7 | /nabook-model/nabook-model-service/bin/META-INF/sql/indexes.sql | UTF-8 | 2,153 | 3.0625 | 3 | [] | no_license | create unique index IX_4CA39AF5 on nab_Address (userId, primary_);
create index IX_FB65AADE on nab_Address (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_B57750E0 on nab_Address (uuid_[$COLUMN_LENGTH:75$], groupId);
create unique index IX_232133E9 on nab_Book (ISBN[$COLUMN_LENGTH:75$]);
create index IX_FA3548FE on nab_Book (author[$COLUMN_LENGTH:75$]);
create index IX_C1E119F3 on nab_Book (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_34BD8135 on nab_Book (uuid_[$COLUMN_LENGTH:75$], groupId);
create index IX_626A0426 on nab_BookOrder (modifiedDate);
create index IX_99F38255 on nab_BookOrder (userId);
create index IX_5EA3064F on nab_BookOrder (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_1E86D491 on nab_BookOrder (uuid_[$COLUMN_LENGTH:75$], groupId);
create index IX_1BA5195A on nab_Bookstore (companyId);
create unique index IX_CC6836F7 on nab_Bookstore (country[$COLUMN_LENGTH:75$], city[$COLUMN_LENGTH:75$], prefecture[$COLUMN_LENGTH:75$], street[$COLUMN_LENGTH:75$]);
create unique index IX_4CDF434D on nab_Bookstore (name[$COLUMN_LENGTH:75$]);
create unique index IX_C4E8AED0 on nab_Bookstore (phone[$COLUMN_LENGTH:75$]);
create index IX_4E989082 on nab_Bookstore (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_76AF4F84 on nab_Bookstore (uuid_[$COLUMN_LENGTH:75$], groupId);
create unique index IX_816832C8 on nab_Cart (userId, bookId);
create index IX_B41E18AA on nab_Cart (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_FCC8C1AC on nab_Cart (uuid_[$COLUMN_LENGTH:75$], groupId);
create index IX_3C2A190F on nab_OrderItem (bookId);
create unique index IX_C8AABB11 on nab_OrderItem (bookOrderId, bookId);
create index IX_B4CB88F1 on nab_OrderItem (userId);
create index IX_E30879EB on nab_OrderItem (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_D5AC7F2D on nab_OrderItem (uuid_[$COLUMN_LENGTH:75$], groupId);
create unique index IX_3B204AD7 on nab_StockItem (bookId);
create index IX_3F6111B3 on nab_StockItem (uuid_[$COLUMN_LENGTH:75$], companyId);
create unique index IX_6D5868F5 on nab_StockItem (uuid_[$COLUMN_LENGTH:75$], groupId); | true |
6a7093294f0cf3c3f7bccfd0c6f832c2f52bf8b7 | SQL | cckmit/xinfu | /ccms/WebContent/WEB-INF/action/ccms/module/campaign/objob/webflow/node/edit/query.sql | UTF-8 | 1,080 | 2.78125 | 3 | [] | no_license | SELECT
f.tuid
, f.job_id
, f.node_name
, f.node_type
, f.success_quota
, f.paper_id
, f.wait_time
, f.ob_type
, f.is_auto_assign
, f.remark
, f.grab_flag
, f.grab_skip_flag
, f.grab_flag_scope
, te.term_name as paper_name
, f.sms_template_id
, st.template_name as sms_template_name
, f.mms_template_id
, mt.template_name as mms_template_name
, f.email_template_id
, et.template_name as email_template_name
, f.remind_template_id
, rt.template_name as remind_template_name
, f.email_subject
, f.email_send_type
, f.remind_subject
, f.dm_job_id
, dj.job_name as dm_job_name
, f.node_width
, f.node_height
, f.node_x
, f.node_y
, f.limit_dial_count
FROM cs_job_node f
left join t_term te on f.paper_id = te.tuid
left join cc_sms_template st on f.sms_template_id = st.tuid
left join cc_mms_template mt on mt.tuid = cast(f.mms_template_id as char)
left join cc_email_template et on f.email_template_id = et.tuid
left join cc_remind_template rt on f.remind_template_id = rt.tuid
left join cc_dm_job dj on f.dm_job_id = dj.tuid
WHERE f.tuid=${fld:id}
| true |
1cc09e785aa23981af2f02c26e9bc2184a32bf79 | SQL | tsmarkov/MySQL-Basics | /07. Database Programmability/Exercise/Resources-Databases/queries/03. Town Names Starting With.sql | UTF-8 | 250 | 3.203125 | 3 | [] | no_license | DELIMITER $$
CREATE PROCEDURE usp_get_towns_starting_with(name_start VARCHAR(10))
BEGIN
SELECT t.name AS town_name
FROM towns AS t
WHERE t.name LIKE concat(name_start, '%')
ORDER BY town_name;
END
$$
CALL usp_get_towns_starting_with('b'); | true |
c44677378c82d03472082be75d22e468e0235891 | SQL | gsraskar/tajawal | /workflows/spend_consolidation/spend_consolidation_channelwise.sql | UTF-8 | 84,301 | 3.15625 | 3 | [] | no_license | set hive.mv.files.thread=0;
-- Step 1 : Extract required fields from adjust
DROP TABLE IF EXISTS ${hiveDB}.fact_spend_data_channelwise_inter;
CREATE TABLE IF NOT EXISTS ${hiveDB}.fact_spend_data_channelwise_inter as
select
`date` as dim_date_id,
ds.channel_group,
ds.channel,
apps.group_name,
adj.product,
adj.pos,
'app' as device,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end as device_category,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective,
-- spend
-- sum(adj.cost)
0 as spend,
-- bookings, exclude bookings and revenue for channel_groups : Meta, Organic Search, Partnership, Direct, SEO,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- -- case when lower(adj.campaign) not like '%package%' and lower(adj.campaign) not like '%_p_%' then
-- -- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(adj.revenue_events)
-- end
-- end as bookings,
0 as bookings,
-- revenue,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- -- case when lower(adj.campaign) not like '%package%' and lower(adj.campaign) not like '%_p_%' then
-- -- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(adj.revenue)
-- -- end
-- end as revenue,
0 as revenue,
-- installs,
sum(adj.installs) as installs,
-- sessions,
sum(adj.sessions) as sessions,
-- search,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(hotelsearch_events) + sum(flightsearch_events)
-- end
0 as searches,
-- impressions,
sum( case when ds.dim_channel_id in ('8f1e274b7445ec086397b66c03ac86fa', '943d05bfcdc319151ed3a785d6509b8a', '343cb386562b91edeb3a0c6a4473b1c8', '7bcec112f2cab01e170641fa07eeb238') then 0 else adj.impressions end) as impressions,
-- clicks,
sum( case when ds.dim_channel_id in ('8f1e274b7445ec086397b66c03ac86fa', '943d05bfcdc319151ed3a785d6509b8a', '343cb386562b91edeb3a0c6a4473b1c8', '7bcec112f2cab01e170641fa07eeb238') then 0 else adj.clicks end) as clicks
,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(hotelpayment_events) + sum(flightpayment_events)
-- end
0 as payment_visits
,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(hotelpage_events) + sum(flightdetails_events)
-- end
0 as details_visits
,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(hotelguestdetails_events) + sum(flightpax_events)
-- end
0 as traveller_visits
,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(hotelsearch_events) + sum(flightsearch_events)
-- end
0 as uniq_searches
from
tajawal_bi.fact_adjust_data_multi_app_final adj inner join tajawal_bi.dim_spend_adjust_apps apps on adj.app_token = apps.dim_app_id left outer join (select lower(regexp_replace(adjust_network_name, ' ', '')) as adjust_network_name, max(dim_channel_id) as dim_channel_id from tajawal_bi.dim_spend_adjust_network_channels group by lower(regexp_replace(adjust_network_name, ' ', ''))) adjn on lower(regexp_replace(adj.network,' ','')) = lower(regexp_replace(adjn.adjust_network_name, ' ', '')) left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on adjn.dim_channel_id = ds.dim_channel_id
group by
adj.`date`,
ds.channel_group,
ds.channel,
apps.group_name,
adj.product,
adj.pos,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective
;
-- Step 1.1 : Bring bookings and revenue of Meta, Direct, Partnerships, SEO, OrganicSearch for Hotel from Adjust
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
`date` as dim_date_id,
ds.channel_group,
ds.channel,
apps.group_name,
'hotel' as product,
adj.pos,
'app' as device,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end as device_category,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective,
-- spend
sum(hotel_spend) as spend,
-- bookings, exclude bookings and revenue for channel_groups : Meta, Organic Search, Partnership, Direct, SEO,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- then sum(adj.hotel_events)
-- then
sum(adj.revenue_events) - sum(adj.flight_events)
-- else 0.0
-- end
as bookings,
-- revenue,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- then sum(adj.hotel_revenue)
sum(adj.revenue) - sum(adj.flight_revenue)
-- else 0.0
--end
as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
sum(hotelsearch_events) as searches,
-- impressions,
0 as impressions,
-- clicks,
0 as clicks
,sum(hotelpayment_events) as payment_visits
,sum(hotelpage_events) as details_visits
,sum(hotelguestdetails_events) as traveller_visits
, sum(hotelsearch_events) as uniq_searches
from
tajawal_bi.fact_adjust_data_multi_app_final adj inner join tajawal_bi.dim_spend_adjust_apps apps on adj.app_token = apps.dim_app_id inner join (select lower(regexp_replace(adjust_network_name, ' ', '')) as adjust_network_name, max(dim_channel_id) as dim_channel_id from tajawal_bi.dim_spend_adjust_network_channels group by lower(regexp_replace(adjust_network_name, ' ', ''))) adjn on lower(regexp_replace(adj.network,' ','')) = lower(regexp_replace(adjn.adjust_network_name, ' ', '')) inner join
(
select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid
from tajawal_bi.dim_spend_channels
-- where lower(channel_group) like '%meta%' or lower(channel_group) like '%organic%search%' or lower(channel_group) like '%seo%' or lower(channel_group) like '%partnerships%' or lower(channel_group) like '%direct%' or lower(channel_group) like '%crm%'
group by dim_channel_id
) ds on adjn.dim_channel_id = ds.dim_channel_id
group by
adj.`date`,
ds.channel_group,
ds.channel,
apps.group_name,
adj.product,
adj.pos,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective
;
-- Step 1.2 : Bring bookings and revenue of Meta, Direct, Partnerships, SEO, OrganicSearch for Flight from Adjust
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
`date` as dim_date_id,
ds.channel_group,
ds.channel,
apps.group_name,
'flight' as product,
adj.pos,
'app' as device,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end as device_category,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective,
-- spend
sum(flight_spend) as spend,
-- bookings, exclude bookings and revenue for channel_groups : Meta, Organic Search, Partnership, Direct, SEO,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- then
sum(adj.flight_events)
-- else 0.0
-- end
as bookings,
-- revenue,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- then
sum(adj.flight_revenue)
-- else 0.0
-- end
as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
sum(flightsearch_events) as searches,
-- impressions,
0 as impressions,
-- clicks,
0 as clicks
,sum(flightpayment_events) as payment_visits
,sum(flightdetails_events) as details_visits
,sum(flightpax_events) as traveller_visits
, sum(flightsearch_events) as uniq_searches
from
tajawal_bi.fact_adjust_data_multi_app_final adj inner join tajawal_bi.dim_spend_adjust_apps apps on adj.app_token = apps.dim_app_id inner join
(
select lower(regexp_replace(adjust_network_name, ' ', '')) as adjust_network_name, max(dim_channel_id) as dim_channel_id
from tajawal_bi.dim_spend_adjust_network_channels
group by lower(regexp_replace(adjust_network_name, ' ', ''))) adjn on lower(regexp_replace(adj.network,' ','')) = lower(regexp_replace(adjn.adjust_network_name, ' ', '')
) inner join
(
select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid
from tajawal_bi.dim_spend_channels
-- where lower(channel_group) like '%meta%' or lower(channel_group) like '%organic%search%' or lower(channel_group) like '%seo%' or lower(channel_group) like '%partnerships%' or lower(channel_group) like '%direct%' or lower(channel_group) like '%crm%'
group by dim_channel_id
) ds on adjn.dim_channel_id = ds.dim_channel_id
group by
adj.`date`,
ds.channel_group,
ds.channel,
apps.group_name,
adj.product,
adj.pos,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective
;
-- Step 1.3 : Bring bookings and revenue of Meta, Direct, Partnerships, SEO, OrganicSearch for package from Adjust
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
`date` as dim_date_id,
ds.channel_group,
ds.channel,
apps.group_name,
'package' as product,
adj.pos,
'app' as device,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end as device_category,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective,
-- spend
sum(package_spend) as spend,
-- bookings, exclude bookings and revenue for channel_groups : Meta, Organic Search, Partnership, Direct, SEO,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- then
sum(adj.holidays_revenue_events)
-- else 0.0
-- end
as bookings,
-- revenue,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- then
sum(adj.holidays_revenue)
-- else 0.0
-- end
as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
0 as searches,
-- impressions,
0 as impressions,
-- clicks,
0 as clicks
,sum(holidays_payment_events) as payment_visits
,sum(holidays_package_details_events) as details_visits
,sum(holidays_guest_details_events) as traveller_visits
, 0 as uniq_searches
from
tajawal_bi.fact_adjust_data_multi_app_final adj inner join tajawal_bi.dim_spend_adjust_apps apps on adj.app_token = apps.dim_app_id inner join
(
select lower(regexp_replace(adjust_network_name, ' ', '')) as adjust_network_name, max(dim_channel_id) as dim_channel_id
from tajawal_bi.dim_spend_adjust_network_channels
group by lower(regexp_replace(adjust_network_name, ' ', ''))) adjn on lower(regexp_replace(adj.network,' ','')) = lower(regexp_replace(adjn.adjust_network_name, ' ', '')
) inner join
(
select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid
from tajawal_bi.dim_spend_channels
-- where lower(channel_group) like '%meta%' or lower(channel_group) like '%organic%search%' or lower(channel_group) like '%seo%' or lower(channel_group) like '%partnerships%' or lower(channel_group) like '%direct%' or lower(channel_group) like '%crm%'
group by dim_channel_id
) ds on adjn.dim_channel_id = ds.dim_channel_id
group by
adj.`date`,
ds.channel_group,
ds.channel,
apps.group_name,
adj.product,
adj.pos,
case when lower(adj.app_name) like '%ios%' then 'ios' else 'android' end,
adj.language,
ds.paid_unpaid,
adj.brand_nonbrand,
adj.objective
;
-- Step 2 : Combine adjust fields with Social media FB and Twitter
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
date_start as dim_date_id,
ds.channel_group,
ds.channel,
fba.brand as group_name,
fb.product,
fb.pos,
fb.device,
case when lower(fb.device) like '%web%' then case when lower(fb.mobile_os) like '%ios%' or lower(fb.mobile_os) like '%android%' then 'mobile_web' else 'web' end else lower(fb.mobile_os) end as device_category,
-- fb.mobile_os as device_category,
fb.language,
ds.paid_unpaid,
fb.brand_nonbrand,
fb.objective,
-- spend
sum(fb.spend) as spend,
-- bookings,
0 as bookings,
-- revenue,
0 as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
0 as searches,
-- impressions,
sum(fb.impressions) as impressions,
-- clicks,
sum(fb.clicks) as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, 0 as uniq_searches
from
tajawal_bi.fact_facebook_spend fb
left outer join ${hiveDB}.dim_spend_fb_accounts fba on fb.account_id = fba.account_id
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on fb.dim_channel_id = ds.dim_channel_id
where lower(date_start) like '2016%' or lower(date_start) like '2017%' or lower(date_start) like '2018%' or lower(date_start) like '2019%'
group by
date_start,
ds.channel_group,
ds.channel,
fba.brand,
fb.product,
fb.pos,
fb.device,
fb.mobile_os,
fb.language,
ds.paid_unpaid,
fb.brand_nonbrand,
fb.objective
;
-- Step 2.1 : Combine adjust fields with Social media Twitter
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
day_date as dim_date_id,
tw.channel as channel_group,
tw.sub_channel as channel,
tw.group_name as group_name,
product,
pos,
device,
case when device like '%web%'
then
case when lower(tw.mobile_os) like '%ios%' or lower(tw.mobile_os) like '%android%'
then 'mobile_web'
else 'web'
end
else tw.mobile_os
end
as device_category,
language,
ds.paid_unpaid,
tw.brand,
tw.objective,
-- spend
sum(spend) as spend,
-- bookings,
0 as bookings,
-- revenue
0 as revenue,
-- installs
0 as installs,
-- sessions
0 as sessions,
-- search
0 as searches,
-- impressions
sum(impressions) as impressions,
-- clicks,
sum(clicks) as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, 0 as uniq_searches
from tajawal_bi.fact_twitter_data tw
left outer join tajawal_bi.dim_spend_twitter_accounts twa on tw.accountid = twa.dim_account_id
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on tw.dim_channel_id = ds.dim_channel_id
group by
day_date,
tw.channel,
tw.sub_channel,
tw.group_name,
product,
pos,
device,
tw.mobile_os,
language,
ds.paid_unpaid,
tw.brand,
tw.objective
;
-- Step 3 : Take union of adjust app data with GA app and web data
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
gad.gadate as dim_date_id,
ds.channel_group,
ds.channel,
gav.group_name as group_name,
gad.product,
gad.pos,
gav.device,
case when lower(gad.device_category) like '%desktop%' then 'web' else
case when lower(gad.device_category) like '%tablet%' or lower(gad.device_category) like '%mobile%' then 'mobile_web'
else 'na'
end
end as device_category,
gad.language,
ds.paid_unpaid,
gad.brand_nonbrand,
gad.objective,
-- spend
case when lower(ds.channel) like '%trivago%' then 0 else sum( gad.adcost) end as spend,
-- bookings,
0 as bookings,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(case when gad.view_id in ('109503410', '130709589') then gad.transactions else 0 end)
-- end as bookings,
-- revenue,
0 as revenue,
-- case when lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%' then 0.0
-- else
-- sum(case when gad.view_id in ('109503410', '130709589') then gad.transactions_revenue else 0 end)
-- end as revenue,
-- installs,
0 as installs,
-- sessions,
sum(case when gad.view_id in ('109503410', '130709589') then gad.sessions else 0 end) as sessions,
-- search,
0 as searches,
-- impressions,
sum(case when gad.view_id in ('109503410', '130709589') then gad.impressions else 0 end) as impressions,
-- clicks,
sum(case when gad.view_id in ('109503410', '130709589') then gad.adclicks else 0 end) as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, 0 as uniq_searches
from
tajawal_bi.fact_google_analytics_ad gad
left outer join tajawal_bi.dim_spend_ga_views gav on gad.view_id = gav.dim_view_id
left outer join (select lower(regexp_replace(ga_sourcemedium, ' ', '')) as dim_sourcemedium, max(dim_channel_id) as dim_channel_id from tajawal_bi.dim_spend_ga_sourcemedium_channels group by lower(regexp_replace(ga_sourcemedium, ' ', ''))) gasc on lower(regexp_replace(gad.sourcemedium, ' ', '')) = lower(regexp_replace(gasc.dim_sourcemedium, ' ', ''))
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on gasc.dim_channel_id = ds.dim_channel_id
where gad.view_id in ('109503410', '130709589')
group by
gad.gadate,
ds.channel_group,
ds.channel,
gav.group_name,
gad.product,
gad.pos,
gav.device,
case when lower(gad.device_category) like '%desktop%' then 'web' else
case when lower(gad.device_category) like '%tablet%' or lower(gad.device_category) like '%mobile%' then 'mobile_web'
else 'na'
end
end,
gad.language,
ds.paid_unpaid,
gad.brand_nonbrand,
gad.objective;
-- Step 3.1 : Take in bookings and revenue from GA Transactions table
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
Select
fh.dim_bookingdate_id as dim_date_id,
ltrim(rtrim(dsc.channel_group)) as channel_group,
ltrim(rtrim(dsc.channel)) as channel,
gv.group_name,
fh.order_type as product,
-- ds.pos,
case when lower(coalesce(ds.pos, 'na')) = 'null' then 'na' else ds.pos end as pos,
gv.device,
case when lower(fh.device_category) like '%mobile%web%' or lower(fh.device_category) like '%native%app%' then 'mobile_web' else 'web'
end as device_category,
fh.language,
dsc.paid_unpaid,
'na' as brand_nonbrand,
'na' as objective,
sum(case when lower(fga.metric_name) like '%cpa%' then fga.value else case when lower(fga.metric_name) like '%crr%' then fga.value * fh.payment_amount_usd / 100 else fga.value end end) as spend,
count(distinct(fh.id)) as bookings,
sum(fh.payment_amount_usd) as revenue,
0 as installs,
0 as sessions,
0 as searches,
0 as impressions,
0 as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, 0 as uniq_searches
from
(
select id, order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type, ibv as payment_amount_usd, dim_language_id as language, device_category, dim_channel_id
from tajawal_bi.fact_hotel_orders_final
where dim_status_id != 91 and dim_group_id in (1,2)
-- group by order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type
union
select id, order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type, ibv as payment_amount_usd, dim_language as language, device_category, dim_channel_id
from tajawal_bi.fact_flight_orders_final
where dim_status_id != 91 and dim_group_id in (1,2)
union
select id, order_no, dim_group_id, dim_store_id, dim_bookingdate_id, order_type, iov as payment_amount_usd, dim_language_id as language, 'na' as device_category, '-1' as dim_channel_id
from ${hiveDB}.fact_package_orders_final
where dim_status_id != 91 and dim_group_id in (1,2)
-- group by order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type
) fh
inner join tajawal_bi.dim_groups dg on fh.dim_group_id = dg.group_id
---- inner join (
-- select fga.transaction_id, max(fga.view_id) as view_id, max(dsc.channel_group) as channel_group,
-- max(dsc.channel) as channel, max(paid_unpaid) as paid_unpaid
-- from
-- ( select transaction_id, max(sourcemedium) as sourcemedium, max(view_id) as view_id from tajawal_bi.fact_google_analytics_transactions_final where view_id in ('109503410', '130709589') group by transaction_id) fga
-- inner join
-- (
-- select regexp_replace(lower(dsc.ga_sourcemedium), ' ', '') as ga_sourcemedium, max(dsch.channel_group) as channel_group, max(dsch.channel) as channel, max(paid_unpaid) as paid_unpaid, count(*) as total
-- from tajawal_bi.dim_spend_ga_sourcemedium_channels dsc
-- inner join (
-- select * from tajawal_bi.dim_spend_channels ds
-- -- where lower(ds.channel_group) like '%meta%' or lower(ds.channel_group) like '%organic%search%' or lower(ds.channel_group) like '%seo%' or lower(ds.channel_group) like '%partnerships%' or lower(ds.channel_group) like '%direct%' or lower(ds.channel_group) like '%crm%'
-- ) dsch on dsc.dim_channel_id = dsch.dim_channel_id
-- group by regexp_replace(lower(dsc.ga_sourcemedium), ' ', '')
-- ) dsc on regexp_replace(lower(fga.sourcemedium),' ','') = regexp_replace(lower(dsc.ga_sourcemedium),' ','')
-- group by fga.transaction_id
--) fga
inner join (select transaction_id, max(view_id) as view_id, max(metric_name) as metric_name, max(value) as value from tajawal_uat_bi.fact_google_analytics_transactions_final_incr where view_id in ('109503410', '130709589') group by transaction_id) fga
on fh.order_no = fga.transaction_id
left outer join tajawal_bi.dim_spend_channels dsc on fh.dim_channel_id = dsc.dim_channel_id
inner join tajawal_bi.dim_spend_ga_views gv on fga.view_id = gv.dim_view_id
inner join tajawal_bi.dim_store ds on fh.dim_store_id = ds.store_id
Group by
fh.dim_bookingdate_id,
ltrim(rtrim(dsc.channel_group)),
ltrim(rtrim(dsc.channel)),
gv.group_name,
fh.order_type,
-- ds.pos,
case when lower(coalesce(ds.pos, 'na')) = 'null' then 'na' else ds.pos end,
gv.device,
case when lower(fh.device_category) like '%mobile%web%' or lower(fh.device_category) like '%native%app%' then 'mobile_web' else 'web'
end,
fh.language,
dsc.paid_unpaid;
-- Step 4 : Insert data for app searches.
-- INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
-- select
-- gsap.gadate as dim_date_id,
-- ds.channel_group,
-- ds.channel,
-- gav.group_name as group_name,
-- case when lower(gsap.product) like '%hotel%' then 'hotel' else case when lower(gsap.product) like '%flight%' then 'flight' else 'NA' end end as product,
-- case when lower(country) like '%saudi%' or lower(country) like '%sa%' then 'Saudi Arabia' else
-- case when lower(country) like '%arab%em%' or lower(country) like '%uae%' then 'United Arab Emirates' else
-- case when lower(country) like '%kuwait%' then 'Kuwait' else
-- case when lower(country) like '%bahrain%' then 'Bahrain' else 'NA'
-- end
-- end
-- end
-- end as pos,
-- gav.device as device,
-- -- galang as language,
-- case when lower(galang) like '%ar%' then 'ar' else
-- case when lower(galang) like '%en%' then 'en' else 'NA'
-- end
-- end as language,
-- ds.paid_unpaid,
-- -- spend
-- 0 as spend,
-- -- bookings,
-- 0 as bookings,
-- -- revenue,
-- 0 as revenue,
-- -- installs,
-- 0 as installs,
-- -- sessions,
-- 0 as sessions,
-- -- search,
-- sum(total_events) as searches,
-- -- impressions,
-- 0 as impressions,
-- -- clicks,
-- 0 as clicks
-- , 0 as payment_visits
-- , 0 as details_visits
-- , 0 as traveller_visits
-- , sum(uniq_total_events) as uniq_searches
-- from
-- tajawal_bi.fact_google_analytics_search_app gsap
-- left outer join tajawal_bi.dim_spend_ga_views gav on gsap.view_id = gav.dim_view_id
-- left outer join (select lower(regexp_replace(ga_sourcemedium, ' ', '')) as ga_sourcemedium, max(dim_channel_id) as dim_channel_id from tajawal_bi.dim_spend_ga_sourcemedium_channels group by lower(regexp_replace(ga_sourcemedium, ' ', '')) ) gasc on lower(regexp_replace(gsap.sourcemedium, ' ', '')) = lower(regexp_replace(gasc.ga_sourcemedium, ' ', ''))
-- left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on gasc.dim_channel_id = ds.dim_channel_id
-- where lower(gsap.product) like '%hotel%' or lower(gsap.product) like '%flight%'
-- and gsap.view_id not in ('151627485')
-- group by
-- gsap.gadate,
-- ds.channel_group,
-- ds.channel,
-- gav.group_name,
-- gsap.product,
-- galang,
-- country,
-- gav.device,
-- ds.paid_unpaid;
-- Step 5 : Insert data for web searches.
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
gsap.gadate as dim_date_id,
ds.channel_group,
ds.channel,
gav.group_name as group_name,
case when lower(gsap.product) like '%hotel%' then 'hotel' else case when lower(gsap.product) like '%flight%' then 'flight' else 'NA' end end as product,
-- gsap.country as pos,
case when lower(country) like '%saudi%' or lower(country) like '%sa%' then 'Saudi Arabia' else
case when lower(country) like '%arab%em%' or lower(country) like '%uae%' then 'United Arab Emirates' else
case when lower(country) like '%kuwait%' then 'Kuwait' else
case when lower(country) like '%bahrain%' then 'Bahrain' else 'NA'
end
end
end
end as pos,
gav.device as device,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'na'
end
end as device_category,
-- gsap.language,
case when lower(gsap.language) like '%ar%' then 'ar' else
case when lower(gsap.language) like '%en%' then 'en' else 'NA'
end
end as language,
ds.paid_unpaid,
'na' as brand_nonbrand,
'na' as objective,
-- spend
0 as spend,
-- bookings,
0 as bookings,
-- revenue,
0 as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
sum(pageviews) as searches,
-- impressions,
0 as impressions,
-- clicks,
0 as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, sum(uniqpageviews) as uniq_searches
from
tajawal_bi.fact_google_analytics_search_web gsap
left outer join tajawal_bi.dim_spend_ga_views gav on gsap.view_id = gav.dim_view_id
left outer join (select lower(regexp_replace(ga_sourcemedium, ' ', '')) as ga_sourcemedium, max(dim_channel_id) as dim_channel_id from tajawal_bi.dim_spend_ga_sourcemedium_channels group by lower(regexp_replace(ga_sourcemedium, ' ', '')) ) gasc on lower(regexp_replace(gsap.sourcemedium, ' ', '')) = lower(regexp_replace(gasc.ga_sourcemedium, ' ', ''))
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on gasc.dim_channel_id = ds.dim_channel_id
-- where lower(gsap.product) like '%hotel%' or lower(gsap.product) like '%flight%'
where gsap.view_id not in ('151627485')
group by
gsap.gadate,
ds.channel_group,
ds.channel,
gav.group_name,
gsap.product,
gsap.country,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'na'
end
end,
gsap.language,
gav.device,
ds.paid_unpaid;
-- Step 5.1 : Insert data for GA page views
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
gsap.gadate as dim_date_id,
ds.channel_group,
ds.channel,
gav.group_name as group_name,
case when lower(gsap.product) like '%hotel%' then 'hotel' else case when lower(gsap.product) like '%flight%' then 'flight' else 'NA' end end as product,
-- gsap.country as pos,
case when lower(country) like '%saudi%' or lower(country) like '%sa%' then 'Saudi Arabia' else
case when lower(country) like '%arab%em%' or lower(country) like '%uae%' then 'United Arab Emirates' else
case when lower(country) like '%kuwait%' then 'Kuwait' else
case when lower(country) like '%bahrain%' then 'Bahrain' else 'NA'
end
end
end
end as pos,
gav.device as device,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'na'
end
end as device_category,
-- gsap.language,
case when lower(gsap.galang) like '%ar%' then 'ar' else
case when lower(gsap.galang) like '%en%' then 'en' else 'NA'
end
end as language,
ds.paid_unpaid,
'na' as brand_nonbrand,
'na' as objective,
-- spend
0 as spend,
-- bookings,
0 as bookings,
-- revenue,
0 as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
0 as searches,
-- impressions,
0 as impressions,
-- clicks,
0 as clicks
, sum(case when lower(pagetype) like '%payment%' then uniq_pageviews else 0 end) as payment_visits
, sum(case when lower(pagetype) like '%detail%' then uniq_pageviews else 0 end) as details_visits
, sum(case when lower(pagetype) like '%detail%' then uniq_pageviews else 0 end) as traveller_visits
, 0 as uniq_searches
from
tajawal_bi.fact_google_analytics_web_pageviews gsap
left outer join tajawal_bi.dim_spend_ga_views gav on gsap.view_id = gav.dim_view_id
left outer join (select lower(regexp_replace(ga_sourcemedium, ' ', '')) as ga_sourcemedium, max(dim_channel_id) as dim_channel_id from tajawal_bi.dim_spend_ga_sourcemedium_channels group by lower(regexp_replace(ga_sourcemedium, ' ', ''))) gasc on lower(regexp_replace(gsap.sourcemedium, ' ', '')) = lower(regexp_replace(gasc.ga_sourcemedium, ' ', ''))
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on gasc.dim_channel_id = ds.dim_channel_id
-- where lower(gsap.product) like '%hotel%' or lower(gsap.product) like '%flight%'
where gsap.view_id not in ('151627485')
group by
gsap.gadate,
ds.channel_group,
ds.channel,
gav.group_name,
-- gsap.pagetype,
gsap.product,
gsap.country,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'na'
end
end,
gsap.galang,
gav.device,
ds.paid_unpaid;
-- Step 5.2 : Combine criteo data in this
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
dayDate as dim_date_id,
ds.channel_group,
ds.channel,
group_name as group_name,
case when lower(product) like '%hotel%' then 'hotel' else case when lower(product) like '%flight%' then 'flight' else 'NA' end end as product,
-- case when lower(campaignname) like '%package%' or lower(campaignname) like '%\_p\_%' then 'package' else case when lower(product) like '%hotel%' then 'hotel' else case when lower(product) like '%flight%' then 'flight' else 'NA' end end end as product,
coalesce(case when lower(pos) like '%saudi%' or lower(pos) like '%sa%' then 'Saudi Arabia' else
case when lower(pos) like '%arab%em%' or lower(pos) like '%uae%' then 'United Arab Emirates' else
case when lower(pos) like '%kuwait%' then 'Kuwait' else
case when lower(pos) like '%bahrain%' then 'Bahrain' else 'NA'
end
end
end
end, 'NA') as pos,
device as device,
case when device like '%web%'
then
case when lower(cr.mobile_os) like '%ios%' or lower(cr.mobile_os) like '%android%'
then 'mobile_web'
else 'web'
end
else cr.mobile_os
end
as device_category,
case when lower(language) like '%ar%' then 'ar' else
case when lower(language) like '%en%' then 'en' else 'NA'
end
end as language,
ds.paid_unpaid,
'na' as brand_nonbrand,
'na' as objective,
-- spend
sum(cost) as spend,
-- bookings,
0 as bookings,
-- revenue,
0 as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
0 as searches,
-- impressions,
sum(impressions) as impressions,
-- clicks,
sum(click) as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, 0 as uniq_searches
from
tajawal_bi.fact_criteo_data cr
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on cr.dim_channel_id = ds.dim_channel_id
-- where lower(gsap.product) like '%hotel%' or lower(gsap.product) like '%flight%'
group by
dayDate,
ds.channel_group,
ds.channel,
cr.group_name,
-- gsap.pagetype,
product,
-- case when lower(campaignname) like '%package%' or lower(campaignname) like '%\_p\_%' then 'package' else case when lower(product) like '%hotel%' then 'hotel' else case when lower(product) like '%flight%' then 'flight' else 'NA' end end end,
pos,
language,
device,
cr.mobile_os,
ds.paid_unpaid;
-- == Insert Trivago Cost data into spend consolidation
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
q1.dim_bookingdate_id as dim_date_id,
-- q1.dim_channel_id as ,
dsc.channel_group,
dsc.channel,
case when q1.dim_group_id=1 then 'Tajawal' when q1.dim_group_id=2 then 'Almosafer' end as group_name,
'hotel' as product,
q1.pos,
q1.device,
q1.device_category,
q1.language,
dsc.paid_unpaid,
'na' as brand_nonbrand,
'na' as objective,
q2.cost * q1.revenue_ratio as spend,
-- q2.bookings * q1.bookings_ratio as bookings,
0 as bookings,
0 as revenue,
0 as installs,
0 as sessions,
0 as searches,
0 as impressions,
0 as clicks,
0 as payment_visits,
0 as details_visits,
0 as traveller_visits,
0 as uniq_searches
from
(
select
q1.dim_bookingdate_id,
q1.dim_channel_id,
q1.dim_group_id,
q1.pos,
q1.device,
q1.device_category,
q1.language,
q1.bookings,
q1.revenue,
q1.bookings/q2.bookings as bookings_ratio,
q1.revenue/q2.revenue as revenue_ratio
from
(
select count(distinct(id)) bookings,
sum(ibv) as revenue,
case when d.`type` like '%app%' then 'app' else d.`type` end as device,
case when d.`type` like '%app%' then d.mobile_os else device_category end device_category,
case when dim_language_id like '%ar%' then 'ar' when dim_language_id like '%en%' then 'en' end as language,
dim_bookingdate_id,
dim_channel_id,
dim_group_id,
d.pos
from tajawal_bi.fact_hotel_orders_final h
inner join tajawal_bi.dim_store d on h.dim_store_id=d.store_id
group by dim_bookingdate_id, dim_channel_id, dim_group_id, d.pos, d.`type`,
case when d.`type` like '%app%' then d.mobile_os else device_category end,
case when dim_language_id like '%ar%' then 'ar' when dim_language_id like '%en%' then 'en' end
) q1
inner join
(
select
count(distinct(id)) as bookings,
sum(ibv) as revenue,
dim_bookingdate_id,
dim_channel_id,
dim_group_id
from
tajawal_bi.fact_hotel_orders_final
group by dim_bookingdate_id, dim_channel_id, dim_group_id
) q2
on q1.dim_bookingdate_id=q2.dim_bookingdate_id and q1.dim_channel_id=q2.dim_channel_id and q1.dim_group_id=q2.dim_group_id
) q1
inner join
(
select sum(bookings) as bookings, sum(cost) as cost,
day_date, dim_channel_id, group_name
from tajawal_bi.fact_trivago_hotel_data
group by day_date, dim_channel_id, group_name
) q2
on q1.dim_bookingdate_id=q2.day_date and q1.dim_channel_id = q2.dim_channel_id and
case when q1.dim_group_id=1 then 'Tajawal' when q1.dim_group_id=2 then 'Almosafer' end = q2.group_name
left outer join
(
select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel,
max(paid_unpaid) as paid_unpaid
from tajawal_bi.dim_spend_channels
group by dim_channel_id
) dsc on q2.dim_channel_id = dsc.dim_channel_id;
-- Add BING data into spend
INSERT INTO ${hiveDB}.fact_spend_data_channelwise_inter
select
day_Date as dim_date_id,
ds.channel_group,
ds.channel,
group_name as group_name,
case when lower(product) like '%hotel%' then 'hotel'
else case when lower(product) like '%flight%' then 'flight'
else case when lower(product) like '%both%' then 'both'
else case when lower(product) like '%package%' then 'package'
else 'NA' end end end end as product,
coalesce(case when lower(pos) like '%saudi%' or lower(pos) like '%sa%' then 'Saudi Arabia' else
case when lower(pos) like '%arab%em%' or lower(pos) like '%uae%' then 'United Arab Emirates' else
case when lower(pos) like '%kuwait%' then 'Kuwait' else
case when lower(pos) like '%bahrain%' then 'Bahrain' else
case when lower(pos) like '%qatar%' then 'Qatar' else
case when lower(pos) like '%egypt%' then 'Egypt' else
case when lower(pos) like '%oman%' then 'Oman' else 'others'
end
end
end
end
end
end
end, 'NA') as pos,
device as device,
'NA' device_category,
case when lower(language) like '%ar%' then 'ar' else
case when lower(language) like '%en%' then 'en' else 'NA'
end
end as language,
ds.paid_unpaid,
'NA' as brand_nonbrand,
'NA' as objective,
-- spend
sum(spend) as spend,
-- bookings,
0 as bookings,
-- revenue,
0 as revenue,
-- installs,
0 as installs,
-- sessions,
0 as sessions,
-- search,
0 as searches,
-- impressions,
sum(impressions) as impressions,
-- clicks,
sum(clicks) as clicks
, 0 as payment_visits
, 0 as details_visits
, 0 as traveller_visits
, 0 as uniq_searches
from
tajawal_bi.fact_bing_data cr
left outer join (select dim_channel_id, max(channel_group) as channel_group, max(channel) as channel, max(paid_unpaid) as paid_unpaid
from tajawal_bi.dim_spend_channels group by dim_channel_id) ds on cr.dim_channel_id = ds.dim_channel_id
-- where lower(gsap.product) like '%hotel%' or lower(gsap.product) like '%flight%'
group by
day_Date,
ds.channel_group,
ds.channel,
cr.group_name,
-- gsap.pagetype,
product,
pos,
language,
device,
--cr.mobile_os,
ds.paid_unpaid;
-- Step 6 : Combine all toghether
DROP TABLE IF EXISTS ${hiveDB}.fact_spend_data_channelwise_inter2;
-- Step 6 : Combine all toghether
DROP TABLE IF EXISTS ${hiveDB}.fact_spend_data_channelwise_inter2;
CREATE TABLE IF NOT EXISTS ${hiveDB}.fact_spend_data_channelwise_inter2 as
select
dim_date_id,
lower(ltrim(rtrim(channel_group))) as channel_group,
lower(ltrim(rtrim(channel))) as channel,
coalesce(lower(group_name), 'NA') as group_name,
case when lower(product) like '%na%' then 'NA' else lower(product) end as product,
case when lower(pos) like 'uae' then 'United Arab Emirates' else
case when lower(pos) like 'na' then 'others' else
case when lower(pos) like 'saudi arabia' then 'Saudi Arabia' else
case when lower(pos) like 'baharain' then 'Bahrain' else
case when lower(pos) like 'kuwait' then 'Kuwait' else
case when lower(pos) like '%egypt%' then 'Egypt' else
ltrim(rtrim(coalesce(pos, 'others')))
end
end
end
end
end
end as pos,
coalesce(case when lower(device) like '%mobile%' then 'app' else lower(device) end, 'NA') as device,
case when lower(ltrim(rtrim(device_category))) = 'mobile web' then 'mobile_web' else lower(device_category) end as device_category,
case when lower(language) like '%na%' then 'NA' else lower(language) end as language,
case when ltrim(rtrim(lower(coalesce(paid_unpaid, 'other')))) like '' then 'other' else ltrim(rtrim(lower(coalesce(paid_unpaid, 'other')))) end as paid_unpaid
, lower(case when lower(ltrim(rtrim(channel_group))) like '%sem%' then brand_nonbrand else
case when lower(ltrim(rtrim(channel_group))) like '%mobile%network%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%affiliate%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%retargeting%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%social%media%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%meta%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%seo%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%direct%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%crm%' then 'Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%display%' then 'Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%organic%search%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%other%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%re%engagement%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%partnerships%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%uac%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%\\n%' then 'Non Brand' else 'Non Brand'
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end) as brand_nonbrand
,lower(case when lower(ltrim(rtrim(channel_group))) like '%sem%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%mobile%network%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%affiliate%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%retargeting%' then 'Retargeting' else
case when lower(ltrim(rtrim(channel_group))) like '%social%media%' then objective else
case when lower(ltrim(rtrim(channel_group))) like '%meta%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%seo%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%direct%' then 'NA' else
case when lower(ltrim(rtrim(channel_group))) like '%crm%' then 'Retargeting' else
case when lower(ltrim(rtrim(channel_group))) like '%display%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%organic%search%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%other%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%re%engagement%' then 'Retargeting' else
case when lower(ltrim(rtrim(channel_group))) like '%partnerships%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%uac%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%\\n%' then 'Aquisition' else 'Aquisition'
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end) as objective ,
-- spend
case when lower(ltrim(rtrim(channel))) like '%trivago%' then sum(spend) else
sum(case when lower(ltrim(rtrim(channel_group))) like 'meta' then revenue * 0.02 else spend end)
end
as spend,
-- bookings,
sum(bookings) as bookings,
-- revenue,
sum(revenue) as revenue,
-- installs,
sum(installs) as installs,
-- sessions,
sum(sessions) as sessions,
-- search,
sum(searches) as searches,
-- impressions,
sum(impressions) as impressions,
-- clicks,
sum(clicks) as clicks
, sum(payment_visits) as payment_visits
, sum(details_visits) as details_visits
, sum(traveller_visits) as traveller_visits
, sum(uniq_searches) as uniq_searches
from
${hiveDB}.fact_spend_data_channelwise_inter
group by
dim_date_id,
lower(ltrim(rtrim(channel_group))),
lower(ltrim(rtrim(channel))),
coalesce(lower(group_name), 'NA'),
product,
pos,
device,
case when lower(ltrim(rtrim(device_category))) = 'mobile web' then 'mobile_web' else lower(device_category) end,
language,
paid_unpaid,
lower(case when lower(ltrim(rtrim(channel_group))) like '%sem%' then brand_nonbrand else
case when lower(ltrim(rtrim(channel_group))) like '%mobile%network%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%affiliate%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%retargeting%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%social%media%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%meta%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%seo%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%direct%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%crm%' then 'Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%display%' then 'Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%organic%search%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%other%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%re%engagement%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%partnerships%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%uac%' then 'Non Brand' else
case when lower(ltrim(rtrim(channel_group))) like '%\\n%' then 'Non Brand' else 'Non Brand'
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end)
,lower(case when lower(ltrim(rtrim(channel_group))) like '%sem%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%mobile%network%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%affiliate%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%retargeting%' then 'Retargeting' else
case when lower(ltrim(rtrim(channel_group))) like '%social%media%' then objective else
case when lower(ltrim(rtrim(channel_group))) like '%meta%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%seo%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%direct%' then 'NA' else
case when lower(ltrim(rtrim(channel_group))) like '%crm%' then 'Retargeting' else
case when lower(ltrim(rtrim(channel_group))) like '%display%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%organic%search%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%other%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%re%engagement%' then 'Retargeting' else
case when lower(ltrim(rtrim(channel_group))) like '%partnerships%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%uac%' then 'Aquisition' else
case when lower(ltrim(rtrim(channel_group))) like '%\\n%' then 'Aquisition' else 'Aquisition'
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end)
;
drop table if exists ${hiveDB}.fact_spend_data_channelwise;
alter table ${hiveDB}.fact_spend_data_channelwise_inter2 rename to ${hiveDB}.fact_spend_data_channelwise;
-- ===============
-- ===== Create new CRM Table
-- ===============
--===CRM Table data
-- Query 1, Part 1 : Include GA Transactions data into it
Drop table if exists tajawal_bi.inter_fact_crm_spend_consolidation;
Create table if not exists
tajawal_bi.inter_fact_crm_spend_consolidation ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' as
Select
'notarget' as recordtype,
gv.group_name,
fh.dim_bookingdate_id as `booking_date`,
gv.device,
gv.mobile_os,
case when lower(coalesce(ds.pos, 'na')) = 'null' then 'na' else ds.pos end as pos,
fh.order_type as product,
ltrim(rtrim(fga.channel_group)) as channel_group,
ltrim(rtrim(fga.channel)) as channel,
0.0 as revenue_target,
0.0 as booking_target,
0.0 as aov_target,
0.0 as share_of_revenue_target,
count(distinct(fh.order_no)) as bookings,
sum(fh.payment_amount_usd) as revenue,
0.0 as share_of_revenue,
sum(fh.payment_amount_usd) / count(distinct(fh.order_no)) as aov
from
(
select order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type, ibv as payment_amount_usd
from tajawal_bi.fact_hotel_orders_final
where dim_status_id != 91
-- group by order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type
union
select order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type, ibv as payment_amount_usd
from tajawal_bi.fact_flight_orders_final
where dim_status_id != 91
-- group by order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type
) fh
inner join tajawal_bi.dim_groups dg on fh.dim_group_id = dg.group_id
inner join (
select fga.transaction_id, max(fga.view_id) as view_id, max(dsc.channel_group) as channel_group,
max(dsc.channel) as channel
from
( select * from tajawal_bi.fact_google_analytics_transactions_final where view_id in ('109503410', '130709589') ) fga
inner join
(
select dsc.ga_sourcemedium, max(dsch.channel_group) as channel_group, max(dsch.channel) as channel, count(*) as total
from tajawal_bi.dim_spend_ga_sourcemedium_channels dsc
inner join (
select * from tajawal_bi.dim_spend_channels where lower(ltrim(rtrim(channel_group))) = 'crm'
) dsch on dsc.dim_channel_id = dsch.dim_channel_id
group by dsc.ga_sourcemedium
) dsc on regexp_replace(lower(fga.sourcemedium),' ','') = regexp_replace(lower(dsc.ga_sourcemedium),' ','')
group by fga.transaction_id
) fga
on fh.order_no = fga.transaction_id
inner join tajawal_bi.dim_spend_ga_views gv on fga.view_id = gv.dim_view_id
inner join tajawal_bi.dim_store ds on fh.dim_store_id = ds.store_id
Group by
gv.group_name,
fh.dim_bookingdate_id,
gv.device,
gv.mobile_os,
-- ds.pos,
case when lower(coalesce(ds.pos, 'na')) = 'null' then 'na' else ds.pos end,
fh.order_type,
ltrim(rtrim(fga.channel_group)),
ltrim(rtrim(fga.channel));
-- Query 1, Part 2.1 : Include Flight Adjust data into it
insert into
tajawal_bi.inter_fact_crm_spend_consolidation
Select
'notarget' as recordtype,
B.group_name,
A.`date` as `booking_date`,
'app' as device,
case when lower(B.app_name) like 'ios' then 'ios' else
case when lower(B.app_name) like 'android' then 'android' else 'na'
end
end as mobile_os,
A.pos,
'flight' as product,
ltrim(rtrim(ds.channel_group)) as channel_group,
ltrim(rtrim(ds.channel)) as channel,
0.0 as revenue_target,
0.0 as booking_target,
0.0 as aov_target,
0.0 as share_of_revenue_target,
sum(A.flight_events) as bookings,
sum(A.flight_revenue) as revenue,
0.0 as share_of_revenue,
sum(A.flight_revenue) / sum(A.flight_events) as aov
-- select substr(`date`, 1, 6) as month, ds.channel_group, ds.channel, sum(cost), sum(A.revenue_events), sum(revenue)
from
tajawal_bi.fact_adjust_data_multi_app_final A
inner join tajawal_bi.dim_spend_adjust_apps B on lower(ltrim(rtrim(A.app_token))) = lower(ltrim(rtrim(B.dim_app_id)))
inner join (
select lower(regexp_replace(A.adjust_network_name, ' ', '')) as adjust_network_name,
max(channel_group) as channel_group, max(channel) as channel
from tajawal_bi.dim_spend_adjust_network_channels A inner join
tajawal_bi.dim_spend_channels B on A.dim_channel_id = B.dim_channel_id
where lower(ltrim(rtrim(B.channel_group))) = 'crm'
group by lower(regexp_replace(A.adjust_network_name, ' ', ''))
) ds
on lower(regexp_replace(A.network, ' ', '')) = adjust_network_name
-- group by substr(`date`, 1, 6), ds.channel_group, ds.channel order by month, ds.channel_group, ds.channel asc;
group by B.group_name,
A.`date`,
case when lower(B.app_name) like 'ios' then 'ios' else
case when lower(B.app_name) like 'android' then 'android' else 'na'
end
end,
A.pos,
ltrim(rtrim(ds.channel_group)),
ltrim(rtrim(ds.channel));
-- Query 1, Part 2.2 : Include Hotel Adjust data into it
insert into
tajawal_bi.inter_fact_crm_spend_consolidation
Select
'notarget' as recordtype,
B.group_name,
A.`date` as `booking_date`,
'app' as device,
case when lower(B.app_name) like 'ios' then 'ios' else
case when lower(B.app_name) like 'android' then 'android' else 'na'
end
end as mobile_os,
A.pos,
'hotel' as product,
ltrim(rtrim(ds.channel_group)) as channel_group,
ltrim(rtrim(ds.channel)) as channel,
0.0 as revenue_target,
0.0 as booking_target,
0.0 as aov_target,
0.0 as share_of_revenue_target,
-- sum(A.hotel_events) as bookings,
sum(A.revenue_events) - sum(A.flight_events) as bookings,
-- sum(A.hotel_revenue) as revenue,
sum(A.revenue) - sum(A.flight_revenue) as revenue,
0.0 as share_of_revenue,
-- sum(A.hotel_revenue) / sum(A.hotel_events) as aov
(sum(A.revenue) - sum(A.flight_revenue)) / (sum(A.revenue_events) - sum(A.flight_events)) as aov
-- select substr(`date`, 1, 6) as month, ds.channel_group, ds.channel, sum(cost), sum(A.revenue_events), sum(revenue)
from
tajawal_bi.fact_adjust_data_multi_app_final A
inner join tajawal_bi.dim_spend_adjust_apps B on lower(ltrim(rtrim(A.app_token))) = lower(ltrim(rtrim(B.dim_app_id)))
inner join (
select lower(regexp_replace(A.adjust_network_name, ' ', '')) as adjust_network_name,
max(channel_group) as channel_group, max(channel) as channel
from tajawal_bi.dim_spend_adjust_network_channels A inner join
tajawal_bi.dim_spend_channels B on A.dim_channel_id = B.dim_channel_id
where lower(ltrim(rtrim(B.channel_group))) = 'crm'
group by lower(regexp_replace(A.adjust_network_name, ' ', ''))
) ds
on lower(regexp_replace(A.network, ' ', '')) = adjust_network_name
-- group by substr(`date`, 1, 6), ds.channel_group, ds.channel order by month, ds.channel_group, ds.channel asc;
group by B.group_name,
A.`date`,
case when lower(B.app_name) like 'ios' then 'ios' else
case when lower(B.app_name) like 'android' then 'android' else 'na'
end
end,
A.pos,
ltrim(rtrim(ds.channel_group)),
ltrim(rtrim(ds.channel));
-- == Verification query : select substr(booking_date, 1, 6) as month, channel_group, channel, sum(bookings),sum(booking_targets) from tajawal_bi.fact_crm_spend_consolidation group by substr(booking_date, 1, 6), channel_group, channel order by month asc;
-- ===Query 2 : Pre-calculate metrices at pos, device, os level.
Drop table if exists tajawal_bi.inter2_fact_crm_spend_consolidation;
Create table tajawal_bi.inter2_fact_crm_spend_consolidation ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' as
select * from tajawal_bi.inter_fact_crm_spend_consolidation
Union
Select
'target' as recordtype,
group_name,
booking_date,
'all' as device,
'all' as mobile_os,
'all' as pos,
product,
channel_group,
'all' as channel,
0.0 as revenue_target,
0.0 as booking_target,
0.0 as aov_target,
0.0 as share_of_revenue_target,
sum(bookings) as bookings,
sum(revenue) as revenue,
0.0 as share_of_revenue,
sum(revenue) / sum(bookings) as aov
From tajawal_bi.inter_fact_crm_spend_consolidation
Group by
group_name,
booking_date,
product,
channel_group;
Drop table tajawal_bi.inter_fact_crm_spend_consolidation;
Alter table tajawal_bi.inter2_fact_crm_spend_consolidation rename to tajawal_bi.inter_fact_crm_spend_consolidation;
--=======Query 3 : Combine Spend into final table
Drop table if exists tajawal_bi.inter2_fact_crm_spend_consolidation;
Create table tajawal_bi.inter2_fact_crm_spend_consolidation -- ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
as
Select
recordtype,
group_name,
booking_date,
device,
mobile_os,
case when lower(pos) like '%united%' then 'uae' else pos end as pos,
a.product,
channel_group,
a.channel as channel,
COALESCE(dsp.ibv_target,0.0) as ibv_target,
COALESCE(dsp.bookings_target,0.0) as bookings_target,
COALESCE(dsp.ibv_target / dsp.bookings_target, 0.0) as aov_target,
COALESCE(dsp.revenue_share_target,0.0) as share_of_revenue_target,
bookings,
revenue,
share_of_revenue,
aov
From
tajawal_bi.inter_fact_crm_spend_consolidation a
left outer join
(
select dim_date, product, brand, lower(channel) as channel,
-- case when lower(sub_channel) like '%push%' then 'Push'
-- else case when lower(sub_channel) like '%email%' then 'Email'
-- else case when lower(sub_channel) like '%sms%' then 'SMS'
-- else case when lower(sub_channel) like '%insider%' then 'Insider' else 'na' end
-- end
-- end
-- end as sub_channel,
sum(ibv) as ibv_target, sum(bookings_target) as bookings_target, sum(revenue_share_target) as revenue_share_target
from googlesheets.dim_spend_daily_targets
where (lower(product) like '%hotel%' or lower(product) like '%flight%') and lower(channel) like 'crm'
group by dim_date, product, brand, lower(channel)
-- case when lower(sub_channel) like '%push%' then 'Push'
-- else case when lower(sub_channel) like '%email%' then 'Email'
-- else case when lower(sub_channel) like '%sms%' then 'SMS'
-- else case when lower(sub_channel) like '%insider%' then 'Insider' else 'na' end
-- end
-- end
-- end
) dsp
on a.booking_date = dsp.dim_date
and a.product = case when lower(dsp.product) like '%hotel%' then 'hotel' else case when lower(dsp.product) like '%flight%' then 'flight' else 'na' end end
and a.device = 'all' and a.mobile_os = 'all' and a.pos = 'all'
and a.channel = 'all'
and ltrim(rtrim(lower(a.group_name))) = ltrim(rtrim(lower(dsp.brand)))
-- and ltrim(rtrim(lower(a.channel))) = ltrim(rtrim(lower(dsp.sub_channel)))
;
Drop table if exists tajawal_bi.fact_crm_spend_consolidation;
Alter table tajawal_bi.inter2_fact_crm_spend_consolidation rename to tajawal_bi.fact_crm_spend_consolidation;
truncate table tajawal_bi.dim_spend_daily_targets;
insert into tajawal_bi.dim_spend_daily_targets select * from googlesheets.dim_spend_daily_targets;
truncate table tajawal_bi.dim_spend_monthly_targets_final; insert into tajawal_bi.dim_spend_monthly_targets_final select * from googlesheets.dim_spend_monthly_targets_final;
drop table tajawal_bi.fact_per_route_orders_searches;
create table tajawal_bi.fact_per_route_orders_searches ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
as
select case when A.dim_channel_id='\N' then NULL else A.dim_channel_id end as dim_channel_id,
case when lower(A.pos) like '%united%arab%emirates' then 'United Arab Emirates' else
case when lower(A.pos) like '%saudi%arabia%' then 'Saudi Arabia' else
case when lower(A.pos) like '%bahrain%' then 'Bahrain' else
case when lower(A.pos) like '%kuwait%' then 'Kuwait' else 'other' end
end
end
end as pos,
A.device,A.dim_group_id,A.device_category,A.route,A.booking_date,sum(A.orders) as orders,sum(A.revenue) as revenue,sum(A.views) as views,sum(A.uniq_views) as uniq_views
from
(
select
fgatf.dim_channel_id as dim_channel_id,
S2.pos as pos,
case when S1.xplatform = 'android' or S1.xplatform = 'ios' then 'app' else 'web' end as device,
case when S1.dim_group_id=1 then 'tajawal' when S1.dim_group_id=2 then 'almosafer' end as dim_group_id,
S1.device_category as device_category,
S1.route as route,
S1.booking_date as booking_date,
COALESCE(sum(S1.orders),0) as orders,
COALESCE(sum(S1.revenue),0) as revenue,
0 as views,
0 as uniq_views
from (select
order_no,
dim_store_id,
xplatform,
dim_group_id,
device_category,
concat(lower(ltrim(rtrim(dim_origin))),'-',lower(ltrim(rtrim(dim_destination)))) as route,
dim_bookingdate_id as booking_date,
count(distinct(id)) as orders,
sum(ibv) as revenue
from
tajawal_bi.fact_flight_orders_final
group by order_no,dim_store_id,xplatform,dim_group_id,
device_category,concat(lower(ltrim(rtrim(dim_origin))),'-',lower(ltrim(rtrim(dim_destination)))),dim_bookingdate_id) S1
inner join tajawal_bi.dim_store S2
on S1.dim_store_id=S2.store_id
left outer join
(
select transaction_id, max(dim_channel_id) as dim_channel_id
from tajawal_bi.fact_google_analytics_transactions_final
group by transaction_id
)
fgatf
on S1.order_no=fgatf.transaction_id group by fgatf.dim_channel_id ,S2.pos ,case when S1.xplatform = 'android' or S1.xplatform = 'ios' then 'app' else 'web' end ,
S1.dim_group_id , S1.device_category ,
S1.route, S1.booking_date
union all
select
dim_channel_id,
country as pos,
device,
group_name,
devicecategory as device_category,
route,
gadate as booking_date,
0 as orders,
0 as revenue,
COALESCE(sum(views),0) as views,
COALESCE(sum(uniq_views),0) as uniq_views
from
(select
T2.devicecategory as devicecategory,
T1.mobile_os as mobile_os,
T1.group_name as group_name,
T1.device as device,
T2.gadate as gadate,
split(regexp_replace(T2.route,',nearby',''),'~|,')[0] as route,
T2.country as country,
T2.views as views,
T2.uniq_views as uniq_views,
T2.dim_channel_id as dim_channel_id
from
tajawal_bi.dim_spend_ga_views T1
inner join
(
select dim_channel_id,case when devicecategory='tablet' or devicecategory='mobile' then 'mobile_web' else 'web' end as devicecategory,
country,gadate,view_id,lower(ltrim(rtrim(product_detail))) as route ,sum(pageviews) as views,sum(uniqpageviews) as uniq_views
from tajawal_bi.fact_google_analytics_search_web where product like '%flight%' group by dim_channel_id,devicecategory,lower(ltrim(rtrim(product_detail))),gadate,view_id,country
union
select dim_channel_id,'native app' as devicecategory,country,gadate,view_id,lower(ltrim(rtrim(product_detail))) as route ,sum(total_events) as views,sum(uniq_total_events) as uniq_views
from tajawal_bi.fact_google_analytics_search_app_final where product like '%flight%' group by dim_channel_id,lower(ltrim(rtrim(product_detail))),gadate,view_id,country
) T2 on T1.dim_view_id=T2.view_id
) T3
group by T3.dim_channel_id,T3.devicecategory,T3.mobile_os,T3.group_name, T3.device, T3.gadate, T3.route, T3.country
) A group by case when A.dim_channel_id='\N' then NULL else A.dim_channel_id end,A.pos,A.device,A.dim_group_id,A.device_category,A.route,A.booking_date;
-- == New table for funnel
drop table if exists ${hiveDB}.report_tajawal_funnel_inter_inter;
create table if not exists ${hiveDB}.report_tajawal_funnel_inter_inter row format delimited fields terminated by '\t'
as
select
`date` as dim_date,
b.group_name,
'app' as device,
case when lower(a.app_name) like '%ios%' then 'ios' else 'android' end as mobile_os,
pos,
sum(case when lower(product) like '%hotel%' then installs else 0 end) as hotel_installs,
sum(case when lower(product) like '%flight%' then installs else 0 end) as flight_installs,
sum(case when lower(product) like '%hotel%' then sessions else 0 end) as hotel_sessions,
sum(case when lower(product) like '%flight%' then sessions else 0 end) as flight_sessions,
sum(hotelsearch_events) as hotel_searches,
sum(flightsearch_events) as flight_searches,
sum(hotelsearch_events) + sum(flightsearch_events) as totalsearch_events,
sum(hotelpage_events) as hotel_details,
sum(flightdetails_events) as flight_details,
sum(hotelpage_events) + sum(flightdetails_events) as total_details,
sum(hotelguestdetails_events) as hotel_guest_details,
sum(flightpax_events) as flight_guest_details,
sum(hotelguestdetails_events) + sum(flightpax_events) as total_guest_details,
sum(hotelpayment_events) as hotel_payment_events,
sum(flightpayment_events) as flight_payment_events,
sum(hotelpayment_events) + sum(flightpayment_events) as total_payment_events,
-- sum(hotel_events) as hotel_bookings,
sum(revenue_events) - sum(flight_events) as hotel_bookings,
sum(flight_events) as flight_bookings,
-- sum(hotel_events) + sum(flight_events) as total_bookings,
sum(revenue_events) as total_bookings,
-- sum(hotel_revenue) as hotel_ibv,
sum(revenue) - sum(flight_revenue) as hotel_ibv,
sum(flight_revenue) as flight_ibv,
-- sum(hotel_revenue) + sum(flight_revenue) as total_ibv
sum(revenue) as total_ibv
from
tajawal_bi.fact_adjust_data_multi_app_final a inner join tajawal_bi.dim_spend_adjust_apps b
on a.app_token = b.dim_app_id
group by `date`, b.group_name, case when lower(a.app_name) like '%ios%' then 'ios' else 'android' end, pos
union
-- From GA
-- IBV and Bookings
select dim_bookingdate_id as dim_date,
group_name,
device,
mobile_os,
pos,
0 as hotel_installs,
0 as flight_installs,
sum(hotel_sessions) as hotel_sessions,
sum(flight_sessions) as flight_sessions,
sum(hotel_searches) as hotel_searches,
sum(flight_searches) as flight_searches,
sum(hotel_searches) + sum(flight_searches) as total_searches,
sum(hotel_details) as hotel_details,
sum(flight_details) as flight_details,
sum(hotel_details) + sum(flight_details) as total_details,
sum(hotel_guest_details) as hotel_guest_details,
sum(flight_guest_details) as flight_guest_details,
sum(hotel_guest_details) + sum(flight_guest_details) as total_guest_details,
sum(hotel_payment_events) as hotel_payment_events,
sum(flight_payment_events) as flight_payment_events,
sum(hotel_payment_events) + sum(flight_payment_events) as total_payment_events,
sum(hotel_bookings) as hotel_bookings,
sum(flight_bookings) as flight_bookings,
sum(hotel_bookings) + sum(flight_bookings) as total_bookings,
sum(hotel_ibv) as hotel_ibv,
sum(flight_ibv) as flight_ibv,
sum(hotel_ibv) + sum(flight_ibv) as total_ibv
from
(
select
fh.dim_bookingdate_id,
dg.group_name,
'web' as device,
case when lower(fh.device_category) like '%mobile%web%' or lower(fh.device_category) like '%native%app%' then 'mobile_web' else 'web' end as mobile_os,
ds.pos,
0 as hotel_sessions,
0 as flight_sessions,
0 as hotel_searches,
0 as flight_searches,
0 as hotel_details,
0 as flight_details,
0 as hotel_guest_details,
0 as flight_guest_details,
0 as hotel_payment_events,
0 as flight_payment_events,
count(distinct(case when order_type like '%hotel%' then id else null end)) as hotel_bookings,
count(distinct(case when order_type like '%flight%' then id else null end)) as flight_bookings,
sum(case when order_type like '%hotel%' then payment_amount_usd else null end) as hotel_ibv,
sum(case when order_type like '%flight%' then payment_amount_usd else null end) as flight_ibv
from
(
select id, order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type, ibv as payment_amount_usd, dim_language_id as language, device_category
from tajawal_bi.fact_hotel_orders_final
where dim_status_id != 91
-- group by order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type
union
select id, order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type, ibv as payment_amount_usd, dim_language as language, device_category
from tajawal_bi.fact_flight_orders_final
where dim_status_id != 91
-- group by order_no, dim_group_id, dim_store_id, dim_bookingdate_id,order_type
) fh
inner join tajawal_bi.dim_groups dg on fh.dim_group_id = dg.group_id
inner join tajawal_bi.dim_store ds on fh.dim_store_id = ds.store_id
inner join
(
select transaction_id, max(view_id) as view_id
from tajawal_bi.fact_google_analytics_transactions_final
where view_id in ('109503410', '130709589')
group by transaction_id
) gt on fh.order_no = gt.transaction_id
group by
fh.dim_bookingdate_id,
dg.group_name,
case when lower(fh.device_category) like '%mobile%web%' or lower(fh.device_category) like '%native%app%' then 'mobile_web' else 'web' end,
ds.pos
union all
-- payment_visits, detail_visits, traveller_visits
select
gsap.gadate,
gav.group_name,
'web' as device,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'na'
end
end as mobile_os,
case when lower(country) like '%united%arab%emirates' then 'United Arab Emirates' else
case when lower(country) like '%saudi%arabia%' then 'Saudi Arabia' else
case when lower(country) like '%baharain%' then 'Baharain' else
case when lower(country) like '%kuwait%' then 'Kuwait' else 'other' end
end
end
end as pos,
0 as hotel_sessions,
0 as flight_sessions,
0 as hotel_searches,
0 as flight_searches
, sum(case when lower(pagetype) like '%detail%' and lower(product) like '%hotel%' then uniq_pageviews else 0 end) as hotel_details
, sum(case when lower(pagetype) like '%detail%' and lower(product) like '%flight%' then uniq_pageviews else 0 end) as flight_details
, sum(case when lower(pagetype) like '%detail%' and lower(product) like '%hotel%' then uniq_pageviews else 0 end) as hotel_guest_details
, sum(case when lower(pagetype) like '%detail%' and lower(product) like '%flight%' then uniq_pageviews else 0 end) as flight_guest_details
, sum(case when lower(pagetype) like '%payment%' and lower(product) like '%hotel%' then uniq_pageviews else 0 end) as hotel_payment_events
, sum(case when lower(pagetype) like '%payment%' and lower(product) like '%flight%' then uniq_pageviews else 0 end) as flight_payment_events
, 0 as hotel_bookings
, 0 as flight_bookings
, 0 as hotel_ibv
, 0 as flight_ibv
from
tajawal_bi.fact_google_analytics_web_pageviews gsap
left outer join tajawal_bi.dim_spend_ga_views gav on gsap.view_id = gav.dim_view_id
group by
gsap.gadate,
gav.group_name,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'na'
end
end,
case when lower(country) like '%united%arab%emirates' then 'United Arab Emirates' else
case when lower(country) like '%saudi%arabia%' then 'Saudi Arabia' else
case when lower(country) like '%baharain%' then 'Baharain' else
case when lower(country) like '%kuwait%' then 'Kuwait' else 'other' end
end
end
end
union all
-- GA unique searches
select
gsap.gadate as dim_date_id,
gav.group_name,
'web' as device,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'other'
end
end as mobile_os,
case when lower(country) like '%saudi%' or lower(country) like '%sa%' then 'Saudi Arabia' else
case when lower(country) like '%arab%em%' or lower(country) like '%uae%' then 'United Arab Emirates' else
case when lower(country) like '%kuwait%' then 'Kuwait' else
case when lower(country) like '%bahrain%' then 'Bahrain' else 'NA'
end
end
end
end as pos,
0 as hotel_sessions,
0 as flight_sessions,
sum(case when lower(gsap.product) like '%hotel%' then uniqpageviews else 0 end) as hotel_searches,
sum(case when lower(gsap.product) like '%flight%' then uniqpageviews else 0 end) as flight_searches,
0 as hotel_details,
0 as flight_details,
0 as hotel_guest_details,
0 as flight_guest_details,
0 as hotel_payment_events,
0 as flight_payment_events,
0 as hotel_bookings,
0 as flight_bookings,
0 as hotel_ibv,
0 as flight_ibv
from
tajawal_bi.fact_google_analytics_search_web gsap
left outer join tajawal_bi.dim_spend_ga_views gav on gsap.view_id = gav.dim_view_id
group by
gsap.gadate,
gav.group_name,
case when lower(gsap.devicecategory) like '%desktop%' then 'web' else
case when lower(gsap.devicecategory) like '%tablet%' or lower(gsap.devicecategory) like '%mobile%' then 'mobile_web'
else 'other'
end
end,
case when lower(country) like '%saudi%' or lower(country) like '%sa%' then 'Saudi Arabia' else
case when lower(country) like '%arab%em%' or lower(country) like '%uae%' then 'United Arab Emirates' else
case when lower(country) like '%kuwait%' then 'Kuwait' else
case when lower(country) like '%bahrain%' then 'Bahrain' else 'NA'
end
end
end
end
) A
group by
dim_bookingdate_id,
group_name,
device,
mobile_os,
pos;
create table if not exists ${hiveDB}.report_tajawal_funnel_inter_inter2
-- row format delimited fields terminated by '\t'
as
select
dim_date, group_name, device, mobile_os, pos, product,
sum(installs) as installs,
sum(sessions) as sessions,
sum(searches) as searches,
sum(details) as details,
sum(guest_details) as guest_details,
sum(payment_events) as payment_events,
sum(bookings) as bookings,
sum(ibv) as ibv
from
(
select
dim_date, group_name, device, mobile_os, pos, 'hotel' as product,
0 as installs,
0 as sessions,
sum(hotel_searches) as searches,
sum(hotel_details) as details,
sum(hotel_guest_details) as guest_details,
sum(hotel_payment_events) as payment_events,
sum(hotel_bookings) as bookings,
sum(hotel_ibv) as ibv
from
${hiveDB}.report_tajawal_funnel_inter_inter
group by
dim_date, group_name, device, mobile_os, pos
union all
select
dim_date, group_name, device, mobile_os, pos, 'flight' as product,
0 as installs,
0 as sessions,
sum(flight_searches) as searches,
sum(flight_details) as details,
sum(flight_guest_details) as guest_details,
sum(flight_payment_events) as payment_events,
sum(flight_bookings) as bookings,
sum(flight_ibv) as ibv
from
${hiveDB}.report_tajawal_funnel_inter_inter
group by
dim_date, group_name, device, mobile_os, pos
union all
select
`date` as dim_date, b.group_name, 'app' as device,
case when lower(a.app_name) like '%ios%' then 'ios' else 'android' end as mobile_os,
pos,
product,
sum(installs) as installs,
sum(sessions) as sessions,
0 as searches,
0 as details,
0 as guest_details,
0 as payment_events,
0 as bookings,
0 as ibv
from
tajawal_bi.fact_adjust_data_multi_app_final a inner join tajawal_bi.dim_spend_adjust_apps b
on a.app_token = b.dim_app_id
group by `date`, b.group_name, case when lower(a.app_name) like '%ios%' then 'ios' else 'android' end, pos, product
union all
select
gad.gadate as dim_date, gav.group_name, 'web' as device,
case when lower(gad.device_category) like '%desktop%' then 'web' else
case when lower(gad.device_category) like '%tablet%' or lower(gad.device_category) like '%mobile%' then 'mobile_web'
else 'other'
end
end as mobile_os,
pos,
product,
0 as installs,
sum(sessions) as sessions,
0 as searches,
0 as details,
0 as guest_details,
0 as payment_events,
0 as bookings,
0 as ibv
from
tajawal_bi.fact_google_analytics_ad gad
left outer join tajawal_bi.dim_spend_ga_views gav on gad.view_id = gav.dim_view_id
where view_id in ('109503410', '130709589')
group by
gad.gadate,
gav.group_name,
case when lower(gad.device_category) like '%desktop%' then 'web' else
case when lower(gad.device_category) like '%tablet%' or lower(gad.device_category) like '%mobile%' then 'mobile_web'
else 'other'
end
end,
pos,
product
) B
group by dim_date, group_name, device, mobile_os, pos, product;
drop table if exists ${hiveDB}.report_tajawal_funnel;
alter table ${hiveDB}.report_tajawal_funnel_inter_inter2 rename to ${hiveDB}.report_tajawal_funnel;
drop table tajawal_bi.city_mapping_searches_hotel;
create table tajawal_bi.city_mapping_searches_hotel ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
as
select A.city as searches_city, B.city as hotel_city
from
(
select lower(rtrim(ltrim(product_detail))) as city
from
tajawal_bi.fact_google_analytics_search_app
where product like '%hotel%' and lower(rtrim(ltrim(product_detail)))!=''
group by lower(rtrim(ltrim(product_detail)))
union
select lower(rtrim(ltrim(product_detail))) as city
from
tajawal_bi.fact_google_analytics_search_web
where product like '%hotel%' and lower(rtrim(ltrim(product_detail)))!=''
group by lower(rtrim(ltrim(product_detail)))
) A
join
(
select lower(rtrim(ltrim(h.city))) as city,count(distinct(id)) as orders
from
tajawal_bi.dim_hotel h
inner join
tajawal_bi.fact_hotel_orders_final o
on h.dim_hotel_id=o.dim_hotel_id
where lower(rtrim(ltrim(h.city)))!=''
group by lower(rtrim(ltrim(h.city))) order by orders desc limit 1000
) B
where A.city rlike concat('[^a-z]+',B.city,'[^a-z]+');
drop table if exists ${hiveDB}.fact_per_city_orders_searches;
create table ${hiveDB}.fact_per_city_orders_searches ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
as
select u.dim_channel_id,
case when lower(u.pos) like '%united%arab%emirates' then 'United Arab Emirates' else
case when lower(u.pos) like '%saudi%arabia%' then 'Saudi Arabia' else
case when lower(u.pos) like '%bahrain%' then 'Bahrain' else
case when lower(u.pos) like '%kuwait%' then 'Kuwait' else 'other' end
end
end
end as pos,
u.group_name,
u.devicecategory,
u.city,
u.booking_date,
sum(u.orders) as orders,
sum(u.revenue) as revenue,
sum(u.views) as views,
sum(u.uniq_views) as uniq_views
from
(
select
T5.dim_channel_id as dim_channel_id,
T5.pos as pos,
T5.group_name as group_name,
T5.devicecategory as devicecategory,
case when COALESCE(T6.cleaned_city,'')='' then T5.city else T6.cleaned_city end as city,
T5.booking_date as booking_date,
0 as orders,
0 as revenue,
T5.views as views,
T5.uniq_views as uniq_views
from
(
select
T3.dim_channel_id as dim_channel_id,
T3.pos as pos,
T3.group_name as group_name,
T3.devicecategory as devicecategory,
case
when COALESCE(T4.cleaned_city,'')='' and COALESCE(latest.hotel_city,'')='' then T3.city
when COALESCE(T4.cleaned_city,'')!='' then T4.cleaned_city
when COALESCE(latest.hotel_city,'')!='' then latest.hotel_city
else T3.city end as city,
T3.booking_date as booking_date,
T3.views as views,
T3.uniq_views as uniq_views
from
(
select
T2.dim_channel_id as dim_channel_id,
T2.country as pos,
T1.group_name as group_name,
T2.devicecategory as devicecategory,
T2.city as city,
T2.gadate as booking_date,
sum(T2.views) as views,
sum(T2.uniq_views) as uniq_views
from
tajawal_bi.dim_spend_ga_views T1
inner join
(
select dim_channel_id,case when devicecategory='tablet' or devicecategory='mobile' then 'mobile web' else 'web' end as devicecategory,
country,gadate,view_id,lower(ltrim(rtrim(product_detail))) as city ,sum(pageviews) as views,sum(uniqpageviews) as uniq_views
from tajawal_bi.fact_google_analytics_search_web
where product like '%hotel%'
group by dim_channel_id,devicecategory,lower(ltrim(rtrim(product_detail))),gadate,view_id,country
union
select dim_channel_id,'native app' as devicecategory,country,gadate,view_id,lower(ltrim(rtrim(product_detail))) as city ,sum(total_events) as views,sum(uniq_total_events) as uniq_views
from tajawal_bi.fact_google_analytics_search_app_final
where product like '%hotel%'
group by dim_channel_id,lower(ltrim(rtrim(product_detail))),gadate,view_id,country
) T2 on T1.dim_view_id=T2.view_id
group by T2.devicecategory,T1.mobile_os,T1.group_name,T1.device,T2.gadate,T2.city,T2.country,T2.dim_channel_id
) T3
left outer join
( select lower(ltrim(rtrim(search_city))) as search_city,lower(ltrim(rtrim(max(cleaned_city)))) as cleaned_city
from googlesheets.searches_city_cleanup group by lower(ltrim(rtrim(search_city)))
) T4
on T4.search_city=T3.city
left outer join
(
select lower(ltrim(rtrim(searches_city))) as searches_city,lower(ltrim(rtrim(max(hotel_city)))) as hotel_city
from tajawal_bi.city_mapping_searches_hotel
group by lower(ltrim(rtrim(searches_city)))
) latest
on latest.searches_city=T3.city
) T5
left outer join
(
select lower(ltrim(rtrim(city_name))) as city_name,lower(ltrim(rtrim(max(cleaned_city_name)))) as cleaned_city
from googlesheets.dim_hotel_city_cleanup group by lower(ltrim(rtrim(city_name)))
) T6 on T6.city_name=T5.city
union all
--orders
select
S1.dim_channel_id as dim_channel_id,
S2.pos as pos,
case when S1.dim_group_id=1 then 'tajawal' when S1.dim_group_id=2 then 'almosafer' end as group_name,
S1.device_category as devicecategory,
lower(ltrim(rtrim(h.city))) as city,
S1.booking_date as booking_date,
COALESCE(count(distinct(S1.id)),0) as orders,
COALESCE(sum(S1.ibv),0) as revenue,
0 as views,
0 as uniq_views
from (
select
dim_channel_id,
order_no,
dim_store_id,
dim_group_id,
device_category,
dim_hotel_id as dim_hotel_id,
dim_bookingdate_id as booking_date,
id,
ibv
from
tajawal_bi.fact_hotel_orders_final
where dim_group_id=1 or dim_group_id=2
-- group by
-- order_no,
-- dim_store_id,dim_group_id,
-- device_category,dim_hotel_id,dim_bookingdate_id
) S1
left outer join tajawal_bi.dim_hotel h on h.dim_hotel_id=S1.dim_hotel_id
left outer join tajawal_bi.dim_store S2
on S1.dim_store_id=S2.store_id
group by S1.dim_channel_id ,S2.pos ,
S1.dim_group_id , S1.device_category ,
h.city, S1.booking_date ) u
group by u.dim_channel_id,
case when lower(u.pos) like '%united%arab%emirates' then 'United Arab Emirates' else
case when lower(u.pos) like '%saudi%arabia%' then 'Saudi Arabia' else
case when lower(u.pos) like '%bahrain%' then 'Bahrain' else
case when lower(u.pos) like '%kuwait%' then 'Kuwait' else 'other' end
end
end
end,u.group_name,u.devicecategory,u.city,u.booking_date;
| true |
1df0492e6781cf3112a7f677052ec6f32376c292 | SQL | deboprasad-mukh/create-view | /view.sql | UTF-8 | 311 | 3 | 3 | [] | no_license | create view amazon_sales as /*In this example we will create a View named amazon_sales from the table amazon_customers*/
select email,order_id_ /*Add columns you want to see in this view*/
from amazon_customers
where order_year=2019; /*condition*/
select*from amazon_sales; /*check o/p */
| true |
d2af777e077cfa7d5a7278ee61771313561eab1f | SQL | kuzerbaydaulet/Spring-mvc-jasper-integration | /spring-mvc-jasper/db.sql | UTF-8 | 489 | 2.609375 | 3 | [] | no_license | create table emp_master (
emp_code varchar(10),
EmpName varchar(100),
Salary decimal,
Doj date);
-- insert some rows into the table.
insert into emp_master values ("5000","Kumar",4500000,"2004-01-01");
insert into emp_master values ("5001", "Jacob", 4000000, "2002-01-01");
INSERT INTO emp_master VALUES ("5500","Kumar",450000,"2001-01-01");
INSERT INTO emp_master VALUES ("5600","Kumar",450000,"2003-10-28");
INSERT INTO emp_master VALUES ("5700","Kumar",450000,"2002-12-22");
| true |
ff573b22b88039fa4d65b9b00461e9ca5342577a | SQL | luckyagusta/tiketCodingTest | /CodingTest/src/main/java/com/LuckyAndreas/CodingTest/JavaIntermediate/SqlScript/Products.sql | UTF-8 | 426 | 3.171875 | 3 | [] | no_license | -- Table: public."Products"
-- DROP TABLE public."Products";
CREATE TABLE public."Products"
(
"ProductID" numeric NOT NULL,
"ProductName" character varying(50) COLLATE pg_catalog."default",
"UnitPrice" numeric,
"InStock" "char",
CONSTRAINT "Products_pkey" PRIMARY KEY ("ProductID")
)
WITH (
OIDS = FALSE
)
TABLESPACE pg_default;
ALTER TABLE public."Products"
OWNER to postgres; | true |
51fb0bc17f61322b60d2836ca5a847553051c193 | SQL | guilhermehifi2016/bdr | /dump.sql | UTF-8 | 3,543 | 3.28125 | 3 | [] | no_license | -- --------------------------------------------------------
-- Servidor: 127.0.0.1
-- Versão do servidor: 5.5.27 - MySQL Community Server (GPL)
-- OS do Servidor: Win32
-- HeidiSQL Versão: 8.3.0.4694
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!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' */;
-- Copiando estrutura do banco de dados para prova
CREATE DATABASE IF NOT EXISTS `prova` /*!40100 DEFAULT CHARACTER SET utf8 COLLATE utf8_unicode_ci */;
USE `prova`;
-- Copiando estrutura para tabela prova.items
CREATE TABLE IF NOT EXISTS `items` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`description` text COLLATE utf8_unicode_ci NOT NULL,
`item_order` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=30 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- Copiando dados para a tabela prova.items: ~11 rows (aproximadamente)
DELETE FROM `items`;
/*!40000 ALTER TABLE `items` DISABLE KEYS */;
INSERT INTO `items` (`id`, `title`, `description`, `item_order`) VALUES
(1, 'item 1', 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.', 3),
(2, 'item 2', 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.', 1),
(3, 'item 3', 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.', 2),
(4, 'item 4', 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.', 4),
(5, 'item 5', 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.', 6),
(8, 'teste', 'teste', 7),
(9, 'teste', 'teste', 8),
(10, 'teste', 'teste', 5),
(11, 'teste', 'teste', 9),
(12, 'teste', 'teste', 10),
(13, 'teste', 'teste', 11);
/*!40000 ALTER TABLE `items` 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 */;
| true |
e13eec3b86b2811057d87c00c70b203c46b20aae | SQL | yankailong/sy_ykl | /database/gm_tool_1.0.18.sql | UTF-8 | 34,305 | 2.78125 | 3 | [] | no_license | /*
Navicat MySQL Data Transfer
Source Server : 本地
Source Server Version : 50547
Source Host : localhost:3306
Source Database : cishop
Target Server Type : MYSQL
Target Server Version : 50547
File Encoding : 65001
Date: 2018-06-02 18:01:03
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `t_data_send_mail_attachment`
-- ----------------------------
DROP TABLE IF EXISTS `t_data_send_mail_attachment`;
CREATE TABLE `t_data_send_mail_attachment` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
`applyId` int(10) unsigned DEFAULT NULL COMMENT '申请id',
`itemType` int(10) DEFAULT NULL,
`itemId` int(10) unsigned DEFAULT NULL COMMENT '物品id',
`itemCount` int(10) unsigned DEFAULT NULL COMMENT '物品数量',
`type` int(10) DEFAULT NULL COMMENT '0就是不绑定，1就是绑定',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=365 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of t_data_send_mail_attachment
-- ----------------------------
INSERT INTO `t_data_send_mail_attachment` VALUES ('1', '875004', '2', '99999', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('2', '615936', '2', '99999', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('3', '123170', '1', '100', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('4', '65272', '1', '4', '10000000', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('5', '874931', '1', '10000', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('6', '750111', '1', '10000', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('7', '792533', '1', '10000', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('8', '539489', '1', '10000', '1000', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('9', '765903', '1', '10000', '1000', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('10', '704117', '1', '10000', '10000', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('11', '311717', '1', '10', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('12', '985531', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('13', '400135', '1', '308', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('14', '400135', '1', '300', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('15', '608632', '1', '308', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('16', '608632', '1', '300', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('17', '902378', '1', '308', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('18', '902378', '1', '300', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('19', '191893', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('20', '799310', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('21', '799310', '1', '300', '50', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('22', '523196', '1', '301', '88', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('23', '633105', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('24', '193863', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('25', '157950', '1', '308', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('26', '157950', '1', '300', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('27', '102914', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('28', '714590', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('29', '29893', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('30', '287655', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('31', '253842', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('32', '313740', '1', '13', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('33', '167431', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('34', '11979', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('35', '99321', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('36', '136897', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('37', '32102', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('38', '651246', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('39', '248934', '1', '301', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('40', '964866', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('41', '897724', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('42', '867160', '1', '302', '60', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('43', '639226', '1', '302', '40', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('44', '845602', '1', '301', '90', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('45', '704883', '1', '302', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('46', '703047', '1', '302', '40', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('47', '703047', '1', '303', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('48', '641198', '1', '303', '30', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('49', '951651', '1', '302', '40', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('50', '951651', '1', '303', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('51', '973803', '1', '303', '25', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('52', '567339', '1', '303', '50', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('53', '421808', '1', '302', '40', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('54', '421808', '1', '303', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('55', '427077', '1', '303', '50', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('56', '491390', '1', '302', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('57', '491390', '1', '303', '100', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('58', '406532', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('59', '386861', '1', '10', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('60', '276701', '1', '10002', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('61', '874458', '1', '10002', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('62', '763422', '1', '10002', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('63', '353332', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('64', '56294', '1', '10002', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('65', '627681', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('66', '415400', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('67', '852823', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('68', '47134', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('69', '440282', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('70', '202808', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('71', '782198', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('72', '487190', '1', '10002', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('73', '608501', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('74', '415161', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('75', '606065', '1', '13', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('76', '818168', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('77', '136812', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('78', '686888', '1', '10000', '8', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('79', '303969', '1', '10000', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('80', '420200', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('81', '804292', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('82', '104402', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('83', '86177', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('84', '936293', '1', '10000', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('85', '737618', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('86', '937466', '1', '302', '30', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('87', '529637', '1', '10000', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('88', '102845', '1', '10002', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('89', '50213', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('90', '656680', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('91', '505767', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('92', '693331', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('93', '70732', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('94', '945690', '1', '10002', '5', '1');
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INSERT INTO `t_data_send_mail_attachment` VALUES ('321', '59428', '1', '13', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('322', '87915', '1', '10002', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('323', '629505', '1', '10002', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('324', '451380', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('325', '233926', '1', '10000', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('326', '9792', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('327', '110574', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('328', '973640', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('329', '535641', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('330', '960320', '2', '10291', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('331', '531782', '2', '10291', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('332', '310470', '2', '10286', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('333', '578244', '2', '10261', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('334', '652794', '2', '10261', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('335', '573934', '2', '10261', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('336', '571311', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('337', '258842', '1', '10006', '36', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('338', '35227', '2', '10261', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('339', '824825', '1', '13', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('340', '824825', '1', '601', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('341', '630869', '1', '10000', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('342', '630869', '1', '303', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('343', '475883', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('344', '590863', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('345', '116516', '1', '10000', '1', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('346', '446395', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('347', '437324', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('348', '102516', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('349', '989316', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('350', '119945', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('351', '593342', '1', '10000', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('352', '768651', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('353', '185914', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('354', '606164', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('355', '507660', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('356', '471794', '1', '10000', '3', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('357', '191417', '1', '10000', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('358', '718998', '1', '10000', '20', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('359', '965425', '1', '10000', '5', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('360', '202909', '1', '10002', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('361', '478645', '1', '10002', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('362', '98070', '1', '10002', '10', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('363', '117870', '1', '10000', '2', '1');
INSERT INTO `t_data_send_mail_attachment` VALUES ('364', '302925', '1', '10000', '10', '1');
| true |
4d52b87e906778114a6846e06905a4921d4134a2 | SQL | StefanMonovski/MSSQL | /02.DatabasesIntroduction-Exercise/15.HotelDatabase.sql | UTF-8 | 4,619 | 3.65625 | 4 | [] | no_license | CREATE DATABASE Hotel;
CREATE TABLE Employees (
Id INT IDENTITY NOT NULL,
CONSTRAINT PK_EmployeeId PRIMARY KEY (Id),
FirstName VARCHAR(MAX) NOT NULL,
LastName VARCHAR(MAX) NOT NULL,
Title VARCHAR(MAX) NOT NULL,
Notes VARCHAR(MAX),
);
CREATE TABLE Customers (
AccountNumber INT NOT NULL,
CONSTRAINT PK_CustomerAccountNumber PRIMARY KEY (AccountNumber),
FirstName VARCHAR(MAX) NOT NULL,
LastName VARCHAR(MAX) NOT NULL,
PhoneNumber VARCHAR(MAX) NOT NULL,
EmergencyName VARCHAR(MAX) NOT NULL,
EmergencyNumber VARCHAR(MAX) NOT NULL,
Notes VARCHAR(MAX),
);
CREATE TABLE RoomStatus (
RoomStatus VARCHAR(100) NOT NULL,
CONSTRAINT PK_RoomStatus PRIMARY KEY (RoomStatus),
Notes VARCHAR(MAX),
);
CREATE TABLE RoomTypes (
RoomType VARCHAR(100) NOT NULL,
CONSTRAINT PK_RoomType PRIMARY KEY (RoomType),
Notes VARCHAR(MAX),
);
CREATE TABLE BedTypes (
BedType VARCHAR(100) NOT NULL,
CONSTRAINT PK_BedType PRIMARY KEY (BedType),
Notes VARCHAR(MAX),
);
CREATE TABLE Rooms (
RoomNumber INT NOT NULL,
CONSTRAINT PK_RoomNumber PRIMARY KEY (RoomNumber),
RoomType VARCHAR(100) NOT NULL,
CONSTRAINT FK_RoomType FOREIGN KEY (RoomType) REFERENCES RoomTypes(RoomType),
BedType VARCHAR(100) NOT NULL,
CONSTRAINT FK_BedType FOREIGN KEY (BedType) REFERENCES BedTypes(BedType),
Rate DECIMAL NOT NULL,
RoomStatus VARCHAR(100) NOT NULL,
CONSTRAINT FK_RoomStatus FOREIGN KEY (RoomStatus) REFERENCES RoomStatus(RoomStatus),
Notes VARCHAR(MAX),
);
CREATE TABLE Payments (
Id INT IDENTITY NOT NULL,
CONSTRAINT PK_PaymentId PRIMARY KEY (Id),
EmployeeId INT NOT NULL,
CONSTRAINT FK_PaymentEmployeeId FOREIGN KEY (EmployeeId) REFERENCES Employees(Id),
PaymentDate DATE NOT NULL,
AccountNumber INT NOT NULL,
CONSTRAINT FK_PaymentAcountNumber FOREIGN KEY (AccountNumber) REFERENCES Customers(AccountNumber),
FirstDateOccupied DATE NOT NULL,
LastDateOccupied DATE NOT NULL,
TotalDays INT NOT NULL,
AmountCharged DECIMAL NOT NULL,
TaxRate DECIMAL NOT NULL,
TaxAmount DECIMAL NOT NULL,
PaymentTotal DECIMAL NOT NULL,
Notes VARCHAR(MAX),
);
CREATE TABLE Occupancies (
Id INT IDENTITY NOT NULL,
CONSTRAINT PK_OccupancyId PRIMARY KEY (Id),
EmployeeId INT NOT NULL,
CONSTRAINT FK_OccupancyEmployeeId FOREIGN KEY (EmployeeId) REFERENCES Employees(Id),
DateOccupied DATE NOT NULL,
AccountNumber INT NOT NULL,
CONSTRAINT FK_OccupancyAccountNumber FOREIGN KEY (AccountNumber) REFERENCES Customers(AccountNumber),
RoomNumber INT NOT NULL,
RateApplied DECIMAL NOT NULL,
PhoneCharge DECIMAL NOT NULL,
Notes VARCHAR(MAX),
);
INSERT INTO Employees (FirstName, LastName, Title)
VALUES
('Maxim', 'Osborn', 'Front desk'),
('Ira', 'Pearson', 'Adminstrative'),
('Anton', 'Devlin', 'Manager');
INSERT INTO Customers (AccountNumber, FirstName, LastName, PhoneNumber, EmergencyName, EmergencyNumber)
VALUES
(39257, 'Jackson', 'Wheatley', '(243) 611-8834', 'Mary Wheatley', '(501) 803-4953'),
(40285, 'Beatrice', 'Becker', '(501) 803-4953', 'Matt Becker', '(779) 232-6106'),
(18429, 'Nora', 'Hester', '(397) 624-4660', 'Diego Hester', '(266) 325-1688');
INSERT INTO RoomStatus (RoomStatus)
VALUES
('vacant'),
('occupied'),
('out of order');
INSERT INTO RoomTypes (RoomType)
VALUES
('single'),
('double'),
('suite');
INSERT INTO BedTypes (BedType)
VALUES
('twin'),
('standard'),
('queen');
INSERT INTO Rooms (RoomNumber, RoomType, BedType, Rate, RoomStatus)
VALUES
(101, 'single', 'twin', 100.00, 'vacant'),
(201, 'double', 'standard', 150.00, 'occupied'),
(301, 'suite', 'queen', 200.00, 'out of order');
INSERT INTO Payments (EmployeeId, PaymentDate, AccountNumber, FirstDateOccupied, LastDateOccupied,
TotalDays, AmountCharged, TaxRate, TaxAmount, PaymentTotal)
VALUES
(1, '2018-06-15', 39257, '2018-06-13', '2018-06-14', 2, 100.00, 0.20, 20.00, 120.00),
(3, '2019-10-04', 18429, '2019-10-01', '2019-10-03', 3, 150.00, 0.20, 30.00, 180.00),
(2, '2020-05-27', 40285, '2020-05-25', '2020-05-26', 2, 100.00, 0.20, 20.00, 120.00);
INSERT INTO Occupancies (EmployeeId, DateOccupied, AccountNumber, RoomNumber, RateApplied, PhoneCharge)
VALUES
(2, '2021-01-18', 18429, 101, 100.00, 0.00),
(1, '2021-01-19', 39257, 201, 150.00, 5.00),
(3, '2021-01-20', 40285, 101, 100.00, 0.00); | true |
b7c25d47d3f86fc63bf50b2ce10f8989b7125cf1 | SQL | ministryofjustice/offender-risk-profiler | /src/main/resources/db/migration/common/V1_2__prison_supported.sql | UTF-8 | 487 | 3.15625 | 3 | [
"MIT",
"LicenseRef-scancode-free-unknown"
] | permissive | CREATE TABLE PRISON_SUPPORTED
(
PRISON_ID VARCHAR(6) PRIMARY KEY,
START_DATE_TIME TIMESTAMP NOT NULL
);
COMMENT ON TABLE PRISON_SUPPORTED IS 'Records the prisons which have started using risk profiler';
COMMENT ON COLUMN PRISON_SUPPORTED.PRISON_ID IS 'Prison ID (NOMIS column is Agency ID)';
COMMENT ON COLUMN PRISON_SUPPORTED.START_DATE_TIME IS 'Indicates when the prison started using risk profiler';
GRANT SELECT, INSERT, UPDATE ON PRISON_SUPPORTED TO risk_profiler;
| true |
2d954a8b4805f8362a29f95620b3a72834e65711 | SQL | brunopurper/target-trust | /1605849/aula07/views.sql | UTF-8 | 526 | 3.375 | 3 | [] | no_license | USE EMPRESA;
CREATE VIEW FOLHA_PAGAMENTO AS
SELECT NOME, SALARIO
FROM FUNCIONARIOS
ORDER BY NOME;
SELECT * FROM FOLHA_PAGAMENTO ORDER BY SALARIO DESC;
# DROP VIEW FOLHA_PAGAMENTO;
CREATE VIEW CRUZAMENTO AS
SELECT F.NOME, T.NUMERO, D.SIGLA
FROM FUNCIONARIOS AS F
INNER JOIN TELEFONES AS T
ON F.ID_FUNCIONARIO = T.ID_FUNCIONARIO
INNER JOIN DEPARTAMENTOS AS D
ON F.ID_DEPARTAMENTO = D.ID_DEPARTAMENTO;
SELECT * FROM CRUZAMENTO;
DROP VIEW CRUZAMENTO;
SELECT * FROM DEPARTAMENTOS;
| true |
1b3b74386e28edc23821008fbfd647813718aa1b | SQL | A00820449/StayHome | /public/sql-queries/arturo2.sql | UTF-8 | 231 | 3.390625 | 3 | [
"MIT"
] | permissive | /*Desplegar actor, con el número de títulos en los que aparece de forma descendente*/
SELECT Name, COUNT(CatalogNo) FROM Actor_Video
LEFT JOIN Actor
ON Actor_Video.ActorID = Actor.ActorID
GROUP BY Name
ORDER BY COUNT(CatalogNo); | true |
cfc7aee48a1d9ae5949c5e1f036fa3ca2c223688 | SQL | buitoan89/codegym_Buivantoan | /Module_02_db/casestude.sql | UTF-8 | 13,213 | 3.59375 | 4 | [] | no_license | drop database if exists furama_resort_tuan_c10g;
create database furama_resort_tuan_c10g;
use furama_resort_tuan_c10g;
CREATE TABLE ViTri(
IDViTri int,
TenViTri NVARCHAR(45) UNIQUE,
PRIMARY KEY(IDViTri)
);
CREATE TABLE TrinhDo(
IDTrinhDo int Primary key,
TrinhDo NVARCHAR(45) UNIQUE
);
CREATE TABLE Bophan(
IDBoPhan int Primary key,
TenBoPhan NVARCHAR(45) UNIQUE
);
CREATE TABLE NhanVien(
IDNhanVien int Primary key,
HoTen NVARCHAR(45),
IDVitri int,
IDTrinhDo int,
IDBoPhan int,
NgaySinh DATE,
SoCMND NVARCHAR(45) UNIQUE,
Luong DOUBLE(11,3),
SDT NVARCHAR(12) UNIQUE,
Email NVARCHAR(45) UNIQUE,
DiaChi NVARCHAR(45),
FOREIGN KEY(IDViTri) REFERENCES vitri(IDViTri),
FOREIGN KEY(IDTrinhDo) REFERENCES trinhdo(IDTrinhDo),
FOREIGN KEY(IDBoPhan) REFERENCES bophan(IDBoPhan)
);
create table LoaiDichVu(
IDLoaiDichVu int primary key,
TenLoaiDichVu NVARCHAR(45) UNIQUE
);
create table KieuThue(
IDKieuThue int primary key,
TenKieuThue NVARCHAR(45) UNIQUE,
Gia double
);
create table DichVu(
IDDichVu int primary key,
TenDichVu NVARCHAR(45),
DienTich DOUBLE,
SoNguoiToiDa int,
ChiPhiThue DOUBLE(10,3),
IDLoaiDichVu int,
IDKieuThue int,
TieuChuanPhong NVARCHAR(45),
MoTaTienNghi NVARCHAR(45),
DienTichHoBoi DOUBLE,
SoTang int,
TrangThai NVARCHAR(45),
FOREIGN KEY(IDLoaiDichVu) REFERENCES LoaiDichVu(IDLoaiDichVu),
FOREIGN KEY(IDKieuThue) REFERENCES KieuThue(IDKieuThue)
);
create table LoaiKhach(
IDLoaiKhach int primary key,
TenLoaiKhach NVARCHAR(45) UNIQUE
);
create table KhachHang(
IDKhachHang int primary key,
HoTen NVARCHAR(45),
NgaySinh DATE NOT NULL,
GioiTinh NVARCHAR(45),
SoCMND NVARCHAR(45) UNIQUE,
SDT NVARCHAR(45) UNIQUE,
Email NVARCHAR(45) UNIQUE,
IDLoaiKhach int,
DiaChi NVARCHAR(45),
FOREIGN KEY (IDLoaiKhach) REFERENCES LoaiKhach(IDLoaiKhach)
);
CREATE TABLE DichVuDiKem(
IDDichVuDiKem int primary key ,
TenDichVuDiKem NVARCHAR(45) UNIQUE,
Gia double,
DonVi int,
TrangThaiKhaDung NVARCHAR(45)
);
CREATE TABLE HopDong(
IDHopDong int Primary key,
NgayLamHopDong DATE,
NgayKetThuc DATE,
TienDatCoc double,
TongTien double,
IDKhachHang int,
IDDichVu int,
IDNhanVien int,
FOREIGN KEY(IDNhanVien) REFERENCES NhanVien(IDNhanVien),
FOREIGN KEY(IDKhachHang) REFERENCES KhachHang(IDKhachHang),
FOREIGN KEY(IDDichVu) REFERENCES DichVu(IDDichVu)
);
CREATE TABLE HopDongChiTiet(
IDHopDong int,
IDDichVuDiKem int,
SoLuong int,
primary key (IDHopDong,IDDichVuDiKem),
FOREIGN KEY (IDHopDong) REFERENCES HopDong(IDHopDong),
FOREIGN KEY (IDDichVuDiKem) REFERENCES DichVuDiKem(IDDichVuDiKem)
);
insert into ViTri values(1,'Trưởng phòng');
insert into ViTri values(2,'Nhân viên');
insert into TrinhDo values(1,'Đại học');
insert into TrinhDo values(2,'Cao Đẳng');
insert into Bophan values(1,'Hành chính');
insert into Bophan values(2,'Nhân sự');
insert into NhanVien values(1,'Nguyễn Văn Ha', 1,1,1,'1988:01:01','201123451',100000,'0935123451','b1@b.com','Đà Nẵng');
insert into NhanVien values(2,'Nguyễn Văn Toan', 1,1,1,'1988:01:01','201123452',100000,'0935123452','b2@b.com','Đà Nẵng');
insert into NhanVien values(3,'Nguyễn Văn Thanh', 1,1,1,'1988:01:01','201123453',100000,'0935123453','b3@b.com','Đà Nẵng');
insert into NhanVien values(4,'Nguyễn Văn Hoang', 1,1,1,'1988:01:01','201123454',100000,'0935123454','b4@b.com','Đà Nẵng');
insert into NhanVien values(5,'Nguyễn Văn Dung', 1,1,1,'1988:01:01','201123455',100000,'0935123455','b5@b.com','Đà Nẵng');
insert into LoaiDichVu values(1,'Villa');
insert into LoaiDichVu values(2,'House');
insert into LoaiDichVu values(3,'Room');
insert into KieuThue values(1,'Năm',12000000);
insert into KieuThue values(2,'Tháng',1000000);
insert into KieuThue values(3,'Ngày',100000);
insert into KieuThue values(4,'Giờ',10000);
insert into DichVu values(1,'Xuan mai',50,5,5000000,1,1,'Vip','MoTaTienNghi',25,3,'San sang');
insert into DichVu values(2,'Mai Phuong',30,3,3000000,2,2,'Vip','MoTaTienNghi',15,2,'San sang');
insert into DichVu values(3,'Thanh Phong',10,4,1000000,3,3,'Vip','MoTaTienNghi',45,1,'San sang');
insert into DichVu values(4,'Tuan Thanh',10,6,1000000,3,3,'Vip','MoTaTienNghi',55,6,'San sang');
insert into DichVu values(5,'Tuan Thanh 2',10,9,1000000,3,3,'Vip','MoTaTienNghi',105,5,'San sang');
insert into LoaiKhach values(1, 'Diamond');
insert into LoaiKhach values(2, 'Platinium');
insert into LoaiKhach values(3, 'Silver');
insert into LoaiKhach values(4, 'Member');
insert into KhachHang values(1,'Nguyen Van Hoa','1988:01:01', 0 , '201561121', '0935123451','a1@a.com', 1, 'Đà Nẵng');
insert into KhachHang values(2,'Nguyen Van Khanh','1968:01:01', 0 , '201561122', '0935123452','a2@a.com', 2, 'Quảng Ngãi');
insert into KhachHang values(3,'Nguyen Van Toan','1908:01:01', 0 , '201561123', '0935123453','a3@a.com', 3, 'Vinh');
insert into KhachHang values(4,'Nguyen Van Dung','1908:01:01', 0 , '201561124', '0935123454','a4@a.com', 1, 'Quảng Trị');
insert into KhachHang values(5,'Nguyen Van Dung','1908:01:01', 0 , '201561125', '0935123455','a5@a.com', 1, 'Quảng Trị');
insert into DichVuDiKem values(1, 'karaoke', 50000, 1,'Kha dung');
insert into DichVuDiKem values(2, 'nước ngọt', 10000, 1,'Kha dung');
insert into DichVuDiKem values(3, 'Khăn mặt', 5000, 1,'Kha dung');
insert into DichVuDiKem values(4, 'matxa', 50000, 1,'Kha dung');
insert into HopDong values(1,'2019:11:05','2019:11:15',300000,20000000,1,1,1);
insert into HopDong values(2,'2018:11:15','2019:11:25',200000,50000000,2,2,2);
insert into HopDong values(3,'2019:11:15','2019:11:25',300000,30000000,1,1,3);
insert into HopDong values(4,'2018:01:01','2019:11:25',300000,10000000,1,3,4);
insert into HopDong values(5,'2019:02:02','2019:11:25',300000,10000000,1,2,5);
insert into HopDongChiTiet values(1,1,1);
insert into HopDongChiTiet values(1,2,5);
insert into HopDongChiTiet values(1,3,10);
insert into HopDongChiTiet values(2,1,1);
insert into HopDongChiTiet values(2,2,10);
insert into HopDongChiTiet values(2,3,20);
insert into HopDongChiTiet values(3,1,5);
insert into HopDongChiTiet values(4,1,5);
insert into HopDongChiTiet values(5,1,5);
select * from ViTri;
select * from TrinhDo;
select * from BoPhan;
select * from LoaiDichVu;
select * from KieuThue;
select * from DichVu;
select * from LoaiKhach;
select * from KhachHang;
select * from DichVuDiKem;
select * from HopDong;
select * from HopDongChiTiet;
select IDNhanVien,HoTen,IDVitri from NhanVien
where HoTen like "%T%" or HoTen like "%H%" or HoTen like "%K%"
-- them dk
having char_length(nhanvien.HoTen)<15;
select IDKhachHang,HoTen,extract(year from current_date()) - extract(year from NgaySinh ) as "tuoi" from KhachHang
where (extract(year from current_date()) - extract(year from NgaySinh ))
between 18 and 50 and DiaChi= 'Đà Nẵng' ;
select khachhang.HoTen,IDLoaiKhach, count(hopdong.IDKhachHang) from khachhang
inner join hopdong on khachhang.IDKhachHang = hopdong.IDKhachHang
where khachhang.IDLoaiKhach = 1
order by count(hopdong.IDKhachHang);
select khachhang.IDKhachHang, khachhang.HoTen, loaikhach.TenLoaiKhach,hopdong.IDHopDong,dichvu.TenDichVu,
hopdong.NgayLamHopDong,hopdong.NgayKetThuc,(dichvu.ChiPhiThue + (hopdongchitiet.SoLuong*dichvudikem.Gia) ) as "tong tien" from loaidichvu
left join dichvu on dichvu.IDLoaiDichVu = loaidichvu.IDLoaiDichVu
left join hopdong on hopdong.IDDichVu = dichvu.IDDichVu
left join hopdongchitiet on hopdongchitiet.IDHopDong = hopdong.IDHopDong
left join dichvudikem on hopdongchitiet.IDDichVuDiKem = dichvudikem.IDDichVuDiKem
left join khachhang on khachhang.IDKhachHang = hopdong.IDKhachHang
left join loaikhach on khachhang.IDLoaiKhach = loaikhach.IDLoaiKhach;
-- 6. Hiển thị IDDichVu, TenDichVu, DienTich, ChiPhiThue, TenLoaiDichVu của tất cả các loại Dịch vụ chưa từng được Khách hàng thực hiện đặt từ quý 1 của năm 2019 (Quý 1 là tháng 1, 2, 3).;
select dichvu.IDDichVu,dichvu.TenDichVu,dichvu.DienTich,dichvu.ChiPhiThue,loaidichvu.TenLoaiDichVu from dichvu
inner join loaidichvu on dichvu.IDLoaiDichVu = loaidichvu.IDLoaiDichVu
where not exists(select hopdong.IDHopDong from hopdong
where (hopdong.NgayLamHopDong between "2019-01-01" and "2019-03-31") and hopdong.IDDichVu = dichvu.IDDichVu);
-- 7. Hiển thị thông tin IDDichVu, TenDichVu, DienTich, SoNguoiToiDa, ChiPhiThue, TenLoaiDichVu của tất cả các loại dịch vụ đã từng được Khách hàng đặt phòng trong năm 2018 nhưng chưa từng được Khách hàng đặt phòng trong năm 2019.
select dichvu.IDDichVu,dichvu.TenDichVu,dichvu.DienTich,dichvu.ChiPhiThue,loaidichvu.TenLoaiDichVu, dichvu.SoNguoiToiDa from dichvu
inner join loaidichvu on dichvu.IDLoaiDichVu = loaidichvu.IDLoaiDichVu
where exists ( select hopdong.IDDichVu from hopdong
where year(hopdong.NgayLamHopDong) = '2018' and hopdong.IDDichVu = dichvu.IDDichVu )
and not exists ( select hopdong.IDDichVu from hopdong
where year(hopdong.NgayLamHopDong) = '2019' and hopdong.IDDichVu = dichvu.IDDichVu );
-- where year(hopdong.NgayLamHopDong) = '2019' and hopdong.IDDichVu = dichvu.IDDichVu)
-- 8. Hiển thị thông tin HoTenKhachHang có trong hệ thống, với yêu cầu HoThenKhachHang không trùng nhau.
-- Học viên sử dụng theo 3 cách khác nhau để thực hiện yêu cầu trên
-- cach 1
select distinct khachhang.HoTen from khachhang;
-- cach 2
select khachhang.HoTen, count(khachhang.HoTen) as 'dem' from khachhang group by khachhang.HoTen;
-- cach 3
select khachhang.HoTen from khachhang union select khachhang.HoTen from khachhang;
-- 9. Thực hiện thống kê doanh thu theo tháng, nghĩa là tương ứng với mỗi tháng trong năm 2019
-- thì sẽ có bao nhiêu khách hàng thực hiện đặt phòng.
select temp.month,count(month(hopdong.ngaylamhopdong)) as so_khach_hang_dang_ky,sum(hopdong.tongtien) as tong_tien
from
(select 1 as month
union select 2 as month
union select 3 as month
union select 4 as month
union select 5 as month
union select 6 as month
union select 7 as month
union select 8 as month
union select 9 as month
union select 10 as month
union select 11 as month
union select 12 as month) as temp
left join hopdong
on month(hopdong.ngaylamhopdong)=temp.month
left join khachhang
on khachhang.idkhachhang=hopdong.idkhachhang
where year(hopdong.ngaylamhopdong)=2019 or month(hopdong.ngaylamhopdong) is null
group by temp.month
order by temp.month asc;
select hopdong.ngaylamhopdong from hopdong;
select temp.month,hopdong.NgayLamHopDong
from
(select 1 as month
union select 2 as month
union select 3 as month
union select 4 as month
union select 5 as month
union select 6 as month
union select 7 as month
union select 8 as month
union select 9 as month
union select 10 as month
union select 11 as month
union select 12 as month) as temp
left join hopdong
on month(hopdong.ngaylamhopdong)=temp.month;
select temp.month, khachhang.HoTen, count(month(hopdong.ngaylamhopdong)) as so_khach_hang_dang_ky,sum(hopdong.tongtien) as tong_tien
from
(select 1 as month
union select 2 as month
union select 3 as month
union select 4 as month
union select 5 as month
union select 6 as month
union select 7 as month
union select 8 as month
union select 9 as month
union select 10 as month
union select 11 as month
union select 12 as month) as temp
left join hopdong
on month(hopdong.ngaylamhopdong)=temp.month
left join khachhang
on khachhang.idkhachhang=hopdong.idkhachhang
where year(hopdong.ngaylamhopdong)=2019 or month(hopdong.ngaylamhopdong) is null
group by temp.month
order by temp.month asc;
-- 10. Hiển thị thông tin tương ứng với từng Hợp đồng thì đã sử dụng bao nhiêu Dịch vụ đi kèm.
-- Kết quả hiển thị bao gồm IDHopDong, NgayLamHopDong, NgayKetthuc, TienDatCoc,
-- SoLuongDichVuDiKem (được tính dựa trên việc count các IDHopDongChiTiet).
select hopdong.IDHopDong,hopdong.NgayLamHopDong,hopdong.NgayKetThuc,hopdong.TienDatCoc,
hopdongchitiet.IDDichVuDiKem,count(hopdongchitiet.IDDichVuDiKem) as 'soluongdichvudikem'
from hopdong
inner join hopdongchitiet on hopdong.IDHopDong = hopdongchitiet.IDHopDong
group by hopdong.IDHopDong;
-- 11. Hiển thị thông tin các Dịch vụ đi kèm đã được sử dụng bởi những Khách hàng có
-- TenLoaiKhachHang là “Diamond” và có địa chỉ là “Vinh” hoặc “Quảng Ngãi”.
select khachhang.HoTen,dichvudikem.TenDichVuDiKem, loaikhach.TenLoaiKhach, khachhang.DiaChi from loaikhach
inner join khachhang on khachhang.IDLoaiKhach = loaikhach.IDLoaiKhach
inner join hopdong on hopdong.IDKhachHang = khachhang.IDKhachHang
inner join hopdongchitiet on hopdongchitiet.IDHopDong = hopdong.IDHopDong
inner join dichvudikem on dichvudikem.IDDichVuDiKem = hopdongchitiet.IDDichVuDiKem
where loaikhach.TenLoaiKhach = 'Diamond' and khachhang.DiaChi in ('Vinh','Đà Nẵng')
group by khachhang.HoTen
-- inner join loaikhach
-- on khachhang.IDLoaiKhach = loaikhach.IDLoaiKhach
-- inner join hopdong
-- on khachhang.IDKhachHang = hopdong.IDKhachHang
| true |
e0bebabedfc11f9623ace088fc0f82d2a0231189 | SQL | GautierCo/iTongue | /client/src/data/data.sql | UTF-8 | 2,707 | 3.171875 | 3 | [] | no_license |
/* */
truncate "record" RESTART IDENTITY CASCADE;
/* UPDATE "user" SET "is_admin" = true WHERE id = 5; */
/* Add User */
INSERT INTO "user" ("email", "password", "firstname", "lastname", "slug", "bio", "avatar_url", "is_admin")
VALUES ('zou8@zou.zou', 'zouzou', 'zou', 'zou', 'zou-zou8', 'bio', 'https://randomuser.me/api/portraits/men/33.jpg', 'false');
/* Add avatar and bio to user ID */
UPDATE "user"
SET "bio" = 'Lorem, ipsum dolor sit amet consectetur adipisicing elit. Earum suscipit illo velit ✈️'
, "avatar_url" = 'https://ca.slack-edge.com/TUZFANP45-U0102DYQRUL-b7d05e08f84a-512'
WHERE "id" = 5;
UPDATE "user"
SET "password" = '$2b$10$9C/QPCDYCUIlYKFprCOfqe438k8HOrDbcBlzNyYCph6FjzRKDLR36'
WHERE "id" = 5;
UPDATE "user"
SET "is_admin" = 'true'
WHERE "id" = 5;
$2b$10$3MGDWljaoj6UC8yeW5tdz.OFtCwrhiiU7JQtQmxEasdKOD5xQxCsi
$2b$10$cIsQbeXyb4/tKD3a7fSFXuDCwpjJl3ycH41Kdtwb7D6k82Au4OiMO
$2b$10$9C/QPCDYCUIlYKFprCOfqe438k8HOrDbcBlzNyYCph6FjzRKDLR36
UPDATE "language"
SET "code" = 'gb'
WHERE "id" = 2;
/* Add record */
INSERT INTO "record" ("url", "user_id", "translation_id")
VALUES ('https://www.soundhelix.com/examples/mp3/SoundHelix-Song-12.mp3',
'5',
'1');
INSERT INTO "record" ("url", "user_id", "translation_id")
VALUES ('https://www.soundhelix.com/examples/mp3/SoundHelix-Song-13.mp3',
'5',
'2');
INSERT INTO "record" ("url", "user_id", "translation_id")
VALUES ('https://www.soundhelix.com/examples/mp3/SoundHelix-Song-14.mp3', '9', '5'),
('https://www.soundhelix.com/examples/mp3/SoundHelix-Song-15.mp3', '9', '6'),
('https://www.soundhelix.com/examples/mp3/SoundHelix-Song-16.mp3', '9', '7'),
('https://www.soundhelix.com/examples/mp3/SoundHelix-Song-17.mp3', '9', '8');
/* languages */
INSERT INTO "language" ("name", "code")
VALUES ('Français', 'fr'),
('English', 'uk'),
('Espagnol', 'es'),
('Portuguais', 'pt');
/*add language to user ( teacher || learner ) */
INSERT INTO "language_user" ("language_id", "user_id", "role")
VALUES ('1', '5', 'teacher'),
('2', '5', 'teacher'),
('3', '5', 'learner'),
('4', '5', 'learner');
DELETE FROM "language"
WHERE id = 6;
UPDATE "language"
SET "name" = 'Français'
WHERE "id" = 1;
/*
Pour le back :
GET /records :
id
slug
avatarUrl
firstname
lastname
Créer une route qui retourne des stats pour le dashboard genre: (au lieu de faire 4 requests)
Nombre d'utilisateur total
Nombre d'iRecords total
Nombre de traductions total
Nombre de langues total
*/
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41e7493bce0160d1d2c093b94804144d1649c879 | SQL | QiYuanGit/market | /src/main/resources/sql/market2018-02-06.sql | UTF-8 | 199,812 | 2.984375 | 3 | [] | no_license | /*
Navicat MySQL Data Transfer
Source Server : 120.78.87.169
Source Server Version : 50718
Source Host : rm-uf69w5es12e5rv2svo.mysql.rds.aliyuncs.com:3306
Source Database : market
Target Server Type : MYSQL
Target Server Version : 50718
File Encoding : 65001
Date: 2018-02-06 21:04:04
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for cart_item
-- ----------------------------
DROP TABLE IF EXISTS `cart_item`;
CREATE TABLE `cart_item` (
`item_id` varchar(32) NOT NULL COMMENT '购物车项id',
`cart_id` varchar(32) DEFAULT NULL COMMENT '购物车商店分类',
`user_id` bigint(20) NOT NULL COMMENT '用户id',
`shop_id` bigint(20) DEFAULT NULL COMMENT '商铺id',
`shop_name` varchar(64) DEFAULT NULL COMMENT '商铺名',
`product_id` bigint(20) DEFAULT NULL COMMENT '商品id',
`product_quantity` int(11) DEFAULT NULL COMMENT '商品数量',
PRIMARY KEY (`item_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of cart_item
-- ----------------------------
INSERT INTO `cart_item` VALUES ('1517752334332105607', '1517650852377383358', '1', '1515567140661', '商店名称6', '1515575600631', '2');
INSERT INTO `cart_item` VALUES ('1517752692093232896', '1517752692137330957', '2', '1515567149563', '商店名称3', '1515575599578', '3');
-- ----------------------------
-- Table structure for cart_shop
-- ----------------------------
DROP TABLE IF EXISTS `cart_shop`;
CREATE TABLE `cart_shop` (
`cart_id` varchar(32) DEFAULT NULL COMMENT 'id',
`user_id` bigint(20) DEFAULT NULL,
`shop_id` bigint(20) DEFAULT NULL COMMENT '商店id'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='购物车商店分类';
-- ----------------------------
-- Records of cart_shop
-- ----------------------------
INSERT INTO `cart_shop` VALUES ('1517650821322802455', '1', '1515567078469');
INSERT INTO `cart_shop` VALUES ('1517650852377383358', '1', '1515567140661');
INSERT INTO `cart_shop` VALUES ('1517650870325950400', '1', '1515567149563');
INSERT INTO `cart_shop` VALUES ('1517752692137330957', '2', '1515567149563');
-- ----------------------------
-- Table structure for data_dict
-- ----------------------------
DROP TABLE IF EXISTS `data_dict`;
CREATE TABLE `data_dict` (
`dict_id` int(11) NOT NULL,
`dict_key` int(11) DEFAULT NULL,
`dict_value` int(11) DEFAULT NULL,
PRIMARY KEY (`dict_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of data_dict
-- ----------------------------
-- ----------------------------
-- Table structure for group_info
-- ----------------------------
DROP TABLE IF EXISTS `group_info`;
CREATE TABLE `group_info` (
`group_info_id` varchar(16) NOT NULL COMMENT '拼购信息id: yyyymmdd',
`group_num` int(11) NOT NULL COMMENT '拼购限制人数',
`group_date` date DEFAULT NULL COMMENT '对应的日期',
PRIMARY KEY (`group_info_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='拼购信息';
-- ----------------------------
-- Records of group_info
-- ----------------------------
INSERT INTO `group_info` VALUES ('19980909', '10', '1998-09-09');
INSERT INTO `group_info` VALUES ('20180110', '6', '2018-01-10');
INSERT INTO `group_info` VALUES ('20180111', '2', '2018-01-11');
INSERT INTO `group_info` VALUES ('20180112', '5', '2018-01-12');
INSERT INTO `group_info` VALUES ('20180113', '5', '2018-01-13');
INSERT INTO `group_info` VALUES ('20180120', '20', '2018-01-20');
INSERT INTO `group_info` VALUES ('20180121', '5', '2018-01-22');
INSERT INTO `group_info` VALUES ('20201010', '100', '2020-10-10');
-- ----------------------------
-- Table structure for group_member
-- ----------------------------
DROP TABLE IF EXISTS `group_member`;
CREATE TABLE `group_member` (
`member_id` varchar(32) DEFAULT NULL COMMENT '组成员id',
`group_id` varchar(32) DEFAULT NULL COMMENT '组id',
`user_Id` bigint(20) DEFAULT NULL COMMENT '用户id',
`user_name` varchar(30) DEFAULT NULL COMMENT '用户名',
`user_head_path` varchar(100) DEFAULT NULL COMMENT '用户头像',
`order_id` varchar(32) DEFAULT NULL COMMENT '订单id'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='组成员';
-- ----------------------------
-- Records of group_member
-- ----------------------------
INSERT INTO `group_member` VALUES ('1516522975203754565', '1516522975163999654', '1', 'aaa', 'head1.jpg', '1516409765791624065');
INSERT INTO `group_member` VALUES ('1516523924381563177', '1516522975163999654', '2', 'aaa', 'head2.jpg', '1516410337942251662');
INSERT INTO `group_member` VALUES ('1516524048003626494', '1516522975163999654', '3', 'ccc', 'head3.jpg', '1516410411340334846');
INSERT INTO `group_member` VALUES ('1516524200840876191', '1516522975163999654', '4', 'aaa', 'head4.jpg', '1516410428668237892');
INSERT INTO `group_member` VALUES ('1516524865547172642', '1516524865509895578', '1', 'aaa', 'head1.jpg', '1516409765791624065');
INSERT INTO `group_member` VALUES ('1516525250696553840', '1516525125256135108', '1', 'aaa', 'head1.jpg', '1516409765791624065');
INSERT INTO `group_member` VALUES ('1516525540812301319', '1516525266185358755', '1', 'aaa', 'head1.jpg', '1516409765791624065');
INSERT INTO `group_member` VALUES ('1516525596103836801', '1516525579859535525', '1', 'aaa', 'head1.jpg', '1516409765791624065');
INSERT INTO `group_member` VALUES ('1516526089763178020', '1516526089713836206', '1', 'aaa', 'head1.jpg', '1516409765791624065');
INSERT INTO `group_member` VALUES ('1516526812752284661', '1516526812708214989', '1', 'aaa', 'head1.jpg', '1516409765791624065');
-- ----------------------------
-- Table structure for group_product
-- ----------------------------
DROP TABLE IF EXISTS `group_product`;
CREATE TABLE `group_product` (
`product_id` bigint(20) NOT NULL,
`product_name` varchar(64) DEFAULT NULL,
`product_oprice` decimal(10,2) DEFAULT NULL,
`product_nprice` decimal(10,2) DEFAULT NULL,
`product_stock` int(11) DEFAULT NULL,
`product_unit` varchar(64) DEFAULT NULL,
`product_desc` varchar(256) DEFAULT NULL,
`send_price` decimal(10,2) DEFAULT NULL,
`category_id` bigint(20) DEFAULT NULL,
`seller_id` bigint(20) DEFAULT NULL,
PRIMARY KEY (`product_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of group_product
-- ----------------------------
INSERT INTO `group_product` VALUES ('25473687528098376', '商品名称6', '6.50', '6.00', '2', '6商品单位', '商品描述6', '6.00', '1515557064589', null);
INSERT INTO `group_product` VALUES ('47279305344041794', '商品名称10', '10.50', '10.00', '10', '10商品单位', '商品描述10', '10.00', '1515557064589', null);
INSERT INTO `group_product` VALUES ('48673407043913879', '商品名称10', '10.50', '10.00', '10', '10商品单位', '商品描述10', '10.00', '1515557740606', null);
INSERT INTO `group_product` VALUES ('74627227357563760', '商品名称22', '22.50', '22.00', '22', '22商品单位', '商品描述22', '22.00', '1515557723921', null);
INSERT INTO `group_product` VALUES ('139842915329918024', '商品名称21', '21.50', '21.00', '21', '21商品单位', '商品描述21', '21.00', '1515557684767', null);
INSERT INTO `group_product` VALUES ('151471919923023390', '商品名称4', '4.50', '4.00', '4', '4商品单位', '商品描述4', '4.00', '1515557489486', null);
INSERT INTO `group_product` VALUES ('190544316423948386', '商品名称16', '16.50', '16.00', '16', '16商品单位', '商品描述16', '16.00', '1515557258011', null);
INSERT INTO `group_product` VALUES ('293591630214219923', '商品名称8', '8.50', '8.00', '5', '8商品单位', '商品描述8', '8.00', '1515557740606', null);
INSERT INTO `group_product` VALUES ('296852422888279766', '商品名称21', '21.50', '21.00', '19', '21商品单位', '商品描述21', '21.00', '1515557309728', null);
INSERT INTO `group_product` VALUES ('452856141668172957', '商品名称14', '14.50', '14.00', '14', '14商品单位', '商品描述14', '14.00', '1515557723921', null);
INSERT INTO `group_product` VALUES ('525158247574882085', '商品名称26', '26.50', '26.00', '26', '26商品单位', '商品描述26', '26.00', '1515557684767', null);
INSERT INTO `group_product` VALUES ('525875901222634849', '商品名称17', '17.50', '17.00', '17', '17商品单位', '商品描述17', '17.00', '1515557064589', null);
INSERT INTO `group_product` VALUES ('532411074837497705', '商品名称10', '10.50', '10.00', '10', '10商品单位', '商品描述10', '10.00', '1515557723921', null);
INSERT INTO `group_product` VALUES ('559200290927036810', '商品名称22', '22.50', '22.00', '22', '22商品单位', '商品描述22', '22.00', '1515557258011', null);
INSERT INTO `group_product` VALUES ('618278422818933327', '商品名称18', '18.50', '18.00', '18', '18商品单位', '商品描述18', '18.00', '1515557258011', null);
INSERT INTO `group_product` VALUES ('645012869931617910', '商品名称15', '15.50', '15.00', '15', '15商品单位', '商品描述15', '15.00', '1515557489486', null);
INSERT INTO `group_product` VALUES ('665512238062716631', '商品名称15', '15.50', '15.00', '15', '15商品单位', '商品描述15', '15.00', '1515557740606', null);
INSERT INTO `group_product` VALUES ('711628765302901244', '商品名称26', '26.50', '26.00', '26', '26商品单位', '商品描述26', '26.00', '1515557064589', null);
INSERT INTO `group_product` VALUES ('748833288244381119', '商品名称28', '28.50', '28.00', '28', '28商品单位', '商品描述28', '28.00', '1515557684767', null);
INSERT INTO `group_product` VALUES ('770975301003594672', '商品名称14', '14.50', '14.00', '14', '14商品单位', '商品描述14', '14.00', '1515557489486', null);
INSERT INTO `group_product` VALUES ('851023262363828784', '商品名称28', '28.50', '28.00', '28', '28商品单位', '商品描述28', '28.00', '1515557309728', null);
INSERT INTO `group_product` VALUES ('947098884499131631', '商品名称5', '5.50', '5.00', '5', '5商品单位', '商品描述5', '5.00', '1515557723921', null);
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-- ----------------------------
-- Table structure for group_product_picture
-- ----------------------------
DROP TABLE IF EXISTS `group_product_picture`;
CREATE TABLE `group_product_picture` (
`picture_id` bigint(20) NOT NULL,
`picture_path` varchar(512) DEFAULT NULL,
`product_id` bigint(20) DEFAULT NULL,
PRIMARY KEY (`picture_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of group_product_picture
-- ----------------------------
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-- ----------------------------
-- Table structure for order_item
-- ----------------------------
DROP TABLE IF EXISTS `order_item`;
CREATE TABLE `order_item` (
`item_id` varchar(32) NOT NULL COMMENT '订单项id',
`order_id` varchar(32) DEFAULT NULL COMMENT '所属订单号',
`product_id` bigint(20) DEFAULT NULL COMMENT '商品id',
`product_name` varchar(64) DEFAULT NULL COMMENT '商品名',
`product_price` decimal(10,2) DEFAULT NULL COMMENT '商品价格',
`product_quantity` int(11) DEFAULT NULL COMMENT '商品数量',
`product_unit` varchar(10) DEFAULT NULL COMMENT '商品每份的量',
`product_desc` varchar(512) DEFAULT NULL COMMENT '商品描述',
`product_icon` varchar(256) DEFAULT NULL COMMENT '商品图片',
PRIMARY KEY (`item_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of order_item
-- ----------------------------
INSERT INTO `order_item` VALUES ('1517751180930935102', '1517751180886795451', '1515575600631', '商品名称2', '2.00', '5', '2单位', '商品描述2', 'p.png');
INSERT INTO `order_item` VALUES ('1517751181168812010', '1517751181125858572', '1515575599578', '商品名称9', '9.00', '4', '9单位', '商品描述9', 'p.png');
INSERT INTO `order_item` VALUES ('1517752959135483238', '1517752959089720356', '1515575600631', '商品名称2', '2.00', '2', '2单位', '商品描述2', 'p.png');
INSERT INTO `order_item` VALUES ('1517752959376128406', '1517752959326612635', '1515575599578', '商品名称9', '9.00', '3', '9单位', '商品描述9', 'p.png');
INSERT INTO `order_item` VALUES ('1517794992800154932', '1517794992693799586', '25473687528098376', '商品名称6', '6.00', '1', '6商品单位', '商品描述6', null);
INSERT INTO `order_item` VALUES ('1517794992950945405', '1517794992693799586', '25473687528098376', '商品名称6', '6.00', '2', '6商品单位', '商品描述6', null);
INSERT INTO `order_item` VALUES ('1517796415396603137', '1517796415396454005', '25473687528098376', '商品名称6', '6.00', '1', '6商品单位', '商品描述6', null);
INSERT INTO `order_item` VALUES ('1517796631914160515', '1517796631914229367', '25473687528098376', '商品名称6', '6.00', '2', '6商品单位', '商品描述6', null);
INSERT INTO `order_item` VALUES ('1517808873718202581', '1517808873718171259', '293591630214219923', '商品名称8', '8.00', '1', '8商品单位', '商品描述8', null);
INSERT INTO `order_item` VALUES ('1517808873813256496', '1517808873718171259', '296852422888279766', '商品名称21', '21.00', '1', '21商品单位', '商品描述21', null);
INSERT INTO `order_item` VALUES ('1517808884956218801', '1517808884956965817', '293591630214219923', '商品名称8', '8.00', '1', '8商品单位', '商品描述8', null);
INSERT INTO `order_item` VALUES ('1517808939883469249', '1517808939882782363', '293591630214219923', '商品名称8', '8.00', '1', '8商品单位', '商品描述8', null);
INSERT INTO `order_item` VALUES ('1517808939971346876', '1517808939882782363', '296852422888279766', '商品名称21', '21.00', '1', '21商品单位', '商品描述21', null);
-- ----------------------------
-- Table structure for order_master
-- ----------------------------
DROP TABLE IF EXISTS `order_master`;
CREATE TABLE `order_master` (
`order_id` varchar(32) NOT NULL COMMENT '订单id',
`shop_id` bigint(20) DEFAULT NULL COMMENT '店铺id',
`shop_name` varchar(32) DEFAULT NULL COMMENT '店铺名',
`user_id` bigint(20) DEFAULT NULL COMMENT '用户id',
`user_name` varchar(64) DEFAULT NULL COMMENT '用户名',
`user_phone` varchar(16) DEFAULT NULL COMMENT '买家电话',
`user_address` varchar(32) DEFAULT NULL COMMENT '配送地址',
`product_amount` decimal(10,2) DEFAULT NULL,
`send_price` decimal(10,2) DEFAULT NULL,
`order_amount` decimal(10,2) DEFAULT NULL COMMENT '订单总额',
`order_status` tinyint(4) DEFAULT NULL COMMENT '订单状态(0-新下单 1-已完结 2-已取消)',
`pay_status` tinyint(4) DEFAULT NULL COMMENT '支付状态 0-未支付 1-已支付',
`delivery_status` tinyint(4) DEFAULT NULL COMMENT '0-未配送 1-已配送 2-已收货',
`comment_status` tinyint(4) DEFAULT NULL COMMENT '评价状态 0-未评价 1-已评价',
`pay_way` tinyint(4) DEFAULT NULL COMMENT '支付方式',
`pay_acount` varchar(32) DEFAULT NULL COMMENT '支付账号',
`delivery_time` datetime DEFAULT NULL COMMENT '配送时间',
`arrive_time` datetime DEFAULT NULL,
`receive_time` datetime DEFAULT NULL,
`comment_id` bigint(20) DEFAULT NULL COMMENT '评论id',
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
`order_remark` varchar(512) DEFAULT NULL,
PRIMARY KEY (`order_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='订单主表';
-- ----------------------------
-- Records of order_master
-- ----------------------------
INSERT INTO `order_master` VALUES ('1517752959089720356', '1515567140661', '商店名称6', '1', 'aaa', '13420111111', '广东省', '4.00', '6.00', '10.00', '0', '0', '2', '0', null, null, null, '2018-01-21 10:18:15', null, null, '2018-02-04 22:02:39', '2018-02-04 22:02:39', null);
INSERT INTO `order_master` VALUES ('1517752959326612635', '1515567149563', '商店名称3', '1', 'aaa', '13420111111', '广东省', '27.00', '3.00', '30.00', '0', '0', '0', '0', null, null, null, null, null, null, '2018-02-04 22:02:39', '2018-02-04 22:02:39', null);
-- ----------------------------
-- Table structure for pg_cart_item
-- ----------------------------
DROP TABLE IF EXISTS `pg_cart_item`;
CREATE TABLE `pg_cart_item` (
`item_id` varchar(32) NOT NULL,
`user_id` bigint(20) DEFAULT NULL,
`product_id` bigint(20) DEFAULT NULL,
`product_quantity` int(11) DEFAULT NULL,
PRIMARY KEY (`item_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of pg_cart_item
-- ----------------------------
INSERT INTO `pg_cart_item` VALUES ('1517641851681884708', '1', '25473687528098376', '2');
INSERT INTO `pg_cart_item` VALUES ('1517794894272564603', '1', '25473687528098376', '2');
INSERT INTO `pg_cart_item` VALUES ('1517808825290791988', '1', '190544316423948386', '1');
INSERT INTO `pg_cart_item` VALUES ('1517808831958574956', '1', '293591630214219923', '1');
INSERT INTO `pg_cart_item` VALUES ('1517808842537675266', '1', '296852422888279766', '1');
-- ----------------------------
-- Table structure for pg_group
-- ----------------------------
DROP TABLE IF EXISTS `pg_group`;
CREATE TABLE `pg_group` (
`group_id` varchar(32) NOT NULL COMMENT '拼购组id',
`lead_member_id` varchar(32) DEFAULT NULL,
`group_num` int(11) DEFAULT NULL COMMENT '组限定人数',
`group_count` int(11) DEFAULT '0' COMMENT '组现有人数',
`group_status` tinyint(4) DEFAULT '0' COMMENT '组状态0-未完成，1-已完成',
`dead_date` datetime DEFAULT NULL,
`active_status` tinyint(4) DEFAULT '0',
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
PRIMARY KEY (`group_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='拼购组表';
-- ----------------------------
-- Records of pg_group
-- ----------------------------
INSERT INTO `pg_group` VALUES ('1516522975163999654', '1516522975203754565', '3', '3', '1', '2018-01-21 00:00:00', '0', '2018-01-21 16:22:55', '2018-01-21 16:43:17');
INSERT INTO `pg_group` VALUES ('1516524865509895578', '1516524865547172642', '5', '1', '0', '2018-01-21 00:00:00', '0', '2018-01-21 16:54:26', '2018-01-21 16:54:26');
INSERT INTO `pg_group` VALUES ('1516525125256135108', '1516525250696553840', '5', '1', '0', '2018-01-21 00:00:00', '0', '2018-01-21 17:00:51', '2018-01-21 17:00:51');
INSERT INTO `pg_group` VALUES ('1516525266185358755', '1516525540812301319', '5', '1', '0', '2018-01-21 00:00:00', '0', '2018-01-21 17:05:41', '2018-01-21 17:05:41');
INSERT INTO `pg_group` VALUES ('1516525579859535525', '1516525596103836801', '5', '1', '0', '2018-01-21 00:00:00', '0', '2018-01-21 17:06:36', '2018-01-21 17:06:36');
INSERT INTO `pg_group` VALUES ('1516526089713836206', '1516526089763178020', '5', '1', null, '2018-01-22 00:00:00', null, '2018-01-21 17:14:50', '2018-01-21 17:14:50');
INSERT INTO `pg_group` VALUES ('1516526812708214989', '1516526812752284661', '5', '1', null, '2018-01-22 00:00:00', null, '2018-01-21 17:26:53', '2018-01-21 17:26:53');
-- ----------------------------
-- Table structure for pg_order_master
-- ----------------------------
DROP TABLE IF EXISTS `pg_order_master`;
CREATE TABLE `pg_order_master` (
`order_id` varchar(32) NOT NULL COMMENT '订单id',
`group_id` varchar(32) DEFAULT NULL COMMENT '所属拼购组id',
`user_id` bigint(20) DEFAULT NULL COMMENT '用户id',
`user_name` varchar(64) DEFAULT NULL COMMENT '用户名',
`user_phone` varchar(16) DEFAULT NULL COMMENT '买家电话',
`user_address` varchar(32) DEFAULT NULL COMMENT '配送地址',
`order_amount` decimal(10,2) DEFAULT NULL COMMENT '订单总额',
`order_status` tinyint(4) DEFAULT NULL COMMENT '订单状态(0-已下单 1-拼购组成 2-订单取消)',
`pay_status` tinyint(4) DEFAULT NULL COMMENT '支付状态 0-未支付 1-已支付',
`delivery_status` tinyint(4) DEFAULT NULL COMMENT '0-未配送 1-已配送 2-已收货',
`comment_status` tinyint(4) DEFAULT NULL COMMENT '评价状态 0-未评价 1-已评价',
`pay_way` tinyint(4) DEFAULT NULL COMMENT '支付方式',
`pay_acount` varchar(32) DEFAULT NULL COMMENT '支付账号',
`delivery_time` datetime DEFAULT NULL COMMENT '配送时间',
`arrive_time` datetime DEFAULT NULL,
`receive_time` datetime DEFAULT NULL,
`comment_id` bigint(20) DEFAULT NULL COMMENT '评价id',
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',
`order_remark` varchar(512) DEFAULT NULL,
PRIMARY KEY (`order_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='拼购订单表';
-- ----------------------------
-- Records of pg_order_master
-- ----------------------------
INSERT INTO `pg_order_master` VALUES ('1517808873718171259', null, '1', 'aaa', '13420111111', '广东省', '29.00', '0', '0', '0', '0', null, null, null, '2018-01-21 10:18:15', null, null, '2018-02-05 13:34:34', '2018-02-05 13:34:34', null);
INSERT INTO `pg_order_master` VALUES ('1517808884956965817', null, '1', 'aaa', '13420111111', '广东省', '8.00', '2', '0', '2', '0', null, null, null, '2018-01-21 10:18:15', '2018-02-05 16:39:40', null, '2018-02-05 13:34:45', '2018-02-05 13:34:45', null);
INSERT INTO `pg_order_master` VALUES ('1517808939882782363', null, '2', 'aaa', '13420111111', '广东省', '29.00', '3', '0', '1', '0', null, null, null, null, null, null, '2018-02-05 13:35:40', '2018-02-05 13:35:40', null);
-- ----------------------------
-- Table structure for product
-- ----------------------------
DROP TABLE IF EXISTS `product`;
CREATE TABLE `product` (
`product_id` bigint(20) NOT NULL,
`product_name` varchar(64) NOT NULL,
`product_price` decimal(10,2) NOT NULL DEFAULT '0.00',
`product_stock` int(11) NOT NULL DEFAULT '0',
`product_icon` varchar(256) DEFAULT NULL,
`product_desc` varchar(512) DEFAULT NULL,
`product_state` int(11) NOT NULL DEFAULT '0',
`product_note` varchar(256) DEFAULT NULL,
`limit_number` varchar(32) NOT NULL,
`discount_state` int(11) NOT NULL DEFAULT '0',
`discount_price` decimal(10,2) NOT NULL DEFAULT '0.00',
`category_id` bigint(20) NOT NULL,
`shop_id` bigint(20) NOT NULL,
PRIMARY KEY (`product_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of product
-- ----------------------------
INSERT INTO `product` VALUES ('1515575599578', '商品名称9', '9.00', '2', 'p.png', '商品描述9', '1', '商品备注9', '9单位', '0', '0.00', '1515557723921', '1515567149563');
INSERT INTO `product` VALUES ('1515575600631', '商品名称2', '2.00', '93', 'p.png', '商品描述2', '0', '商品备注2', '2单位', '0', '0.00', '1515557064589', '1515567140661');
INSERT INTO `product` VALUES ('1515575603289', '商品名称6', '6.00', '6', 'p.png', '商品描述6', '1', '商品备注6', '6单位', '0', '0.00', '1515557723921', '1515567149563');
INSERT INTO `product` VALUES ('1515575609439', '商品名称4', '4.00', '4', 'p.png', '商品描述4', '1', '商品备注4', '4单位', '0', '0.00', '1515557723921', '1515567082566');
INSERT INTO `product` VALUES ('1515575610405', '商品名称6', '6.00', '6', 'p.png', '商品描述6', '1', '商品备注6', '6单位', '0', '0.00', '1515557309728', '1515567662052');
INSERT INTO `product` VALUES ('1515575612168', '商品名称5', '5.00', '90', 'p.png', '商品描述5', '0', '商品备注5', '5单位', '0', '0.00', '1515557723921', '1515567251796');
INSERT INTO `product` VALUES ('1515575620259', '商品名称3', '3.00', '3', 'p.png', '商品描述3', '1', '商品备注3', '3单位', '0', '0.00', '1515557723921', '1515567548902');
INSERT INTO `product` VALUES ('1515575627581', '商品名称4', '4.00', '2', 'p.png', '商品描述4', '1', '商品备注4', '4单位', '0', '0.00', '1515557684767', '1515567078469');
INSERT INTO `product` VALUES ('1515575629043', '商品名称2', '2.00', '2', 'p.png', '商品描述2', '1', '商品备注2', '2单位', '0', '0.00', '1515557309728', '1515567658402');
INSERT INTO `product` VALUES ('1515575632661', '商品名称3', '3.00', '3', 'p.png', '商品描述3', '1', '商品备注3', '3单位', '0', '0.00', '1515557309728', '1515567662052');
INSERT INTO `product` VALUES ('1515575633007', '商品名称6', '6.00', '6', 'p.png', '商品描述6', '1', '商品备注6', '6单位', '0', '0.00', '1515557954147', '1515567741677');
INSERT INTO `product` VALUES ('1515575637143', '商品名称1', '1.00', '1', 'p.png', '商品描述1', '1', '商品备注1', '1单位', '0', '0.00', '1515557684767', '1515567709725');
INSERT INTO `product` VALUES ('1515575639850', '商品名称4', '4.00', '4', 'p.png', '商品描述4', '1', '商品备注4', '4单位', '0', '0.00', '1515557064589', '1515567627606');
INSERT INTO `product` VALUES ('1515575644292', '商品名称3', '3.00', '3', 'p.png', '商品描述3', '1', '商品备注3', '3单位', '0', '0.00', '1515557740606', '1515567775797');
INSERT INTO `product` VALUES ('1515575648245', '商品名称8', '8.00', '8', 'p.png', '商品描述8', '1', '商品备注8', '8单位', '0', '0.00', '1515557723921', '1515567861735');
INSERT INTO `product` VALUES ('1515575649260', '商品名称4', '4.00', '4', 'p.png', '商品描述4', '1', '商品备注4', '4单位', '0', '0.00', '1515557723921', '1515567033782');
INSERT INTO `product` VALUES ('1515575656695', '商品名称5', '5.00', '5', 'p.png', '商品描述5', '1', '商品备注5', '5单位', '0', '0.00', '1515557723921', '1515567149563');
INSERT INTO `product` VALUES ('1515575658861', '商品名称2', '2.00', '2', 'p.png', '商品描述2', '1', '商品备注2', '2单位', '0', '0.00', '1515557723921', '1515567078469');
INSERT INTO `product` VALUES ('1515575659407', '商品名称1', '1.00', '18', 'p.png', '商品描述1', '1', '商品备注1', '1单位', '0', '0.00', '1515557064589', '1515567672934');
INSERT INTO `product` VALUES ('1515575669671', '商品名称8', '8.00', '8', 'p.png', '商品描述8', '1', '商品备注8', '8单位', '0', '0.00', '1515557309728', '1515567705968');
INSERT INTO `product` VALUES ('1515575677252', '商品名称5', '5.00', '5', 'p.png', '商品描述5', '1', '商品备注5', '5单位', '0', '0.00', '1515557740606', '1515567709725');
INSERT INTO `product` VALUES ('1515575680655', '商品名称6', '6.00', '6', 'p.png', '商品描述6', '1', '商品备注6', '6单位', '1', '0.00', '1515557740606', '1515567033782');
INSERT INTO `product` VALUES ('1515575682568', '商品名称8', '8.00', '8', 'p.png', '商品描述8', '1', '商品备注8', '8单位', '0', '0.00', '1515557684767', '1515567140661');
INSERT INTO `product` VALUES ('1515575683576', '商品名称6', '6.00', '6', 'p.png', '商品描述6', '1', '商品备注6', '6单位', '0', '0.00', '1515557954147', '1515567712883');
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-- ----------------------------
-- Table structure for product_category
-- ----------------------------
DROP TABLE IF EXISTS `product_category`;
CREATE TABLE `product_category` (
`category_id` bigint(20) NOT NULL,
`category_name` varchar(64) NOT NULL,
`category_icon` varchar(512) DEFAULT NULL,
PRIMARY KEY (`category_id`),
UNIQUE KEY `category_name` (`category_name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of product_category
-- ----------------------------
INSERT INTO `product_category` VALUES ('1515557064589', '蔬菜', 'pc1.png');
INSERT INTO `product_category` VALUES ('1515557258011', '肉类', 'pc2.png');
INSERT INTO `product_category` VALUES ('1515557309728', '其他', 'pc3.png');
INSERT INTO `product_category` VALUES ('1515557489486', '海鲜', 'pc4.png');
INSERT INTO `product_category` VALUES ('1515557684767', '干货', 'pc5.png');
INSERT INTO `product_category` VALUES ('1515557723921', '包点牛奶', 'pc6.png');
INSERT INTO `product_category` VALUES ('1515557740606', '调料', 'pc7.png');
INSERT INTO `product_category` VALUES ('1515557954147', '水果', 'pc8.png');
-- ----------------------------
-- Table structure for seller
-- ----------------------------
DROP TABLE IF EXISTS `seller`;
CREATE TABLE `seller` (
`seller_id` bigint(20) NOT NULL,
`seller_name` varchar(64) NOT NULL,
`seller_phone` varchar(11) NOT NULL,
`seller_photo` varchar(255) DEFAULT NULL,
`seller_address` varchar(512) NOT NULL,
`seller_state` int(11) NOT NULL DEFAULT '0',
`idcard_number` varchar(32) NOT NULL,
`idcard_fpicture` varchar(512) NOT NULL,
`idcard_bpicture` varchar(512) NOT NULL,
`create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`seller_id`),
UNIQUE KEY `idcard_number` (`idcard_number`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of seller
-- ----------------------------
INSERT INTO `seller` VALUES ('1515567065078', '卖家名称4', '卖家电话4', '4p.jpg', '卖家地址4', '0', '身份证号4', '4fp.jpg', '4bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567070365', '卖家名称19', '卖家电话19', '19p.jpg', '卖家地址19', '0', '身份证号19', '19fp.jpg', '19bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567157200', '卖家名称2', '卖家电话2', '2p.jpg', '卖家地址2', '0', '身份证号2', '2fp.jpg', '2bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567157476', '卖家名称27', '卖家电话27', '27p.jpg', '卖家地址27', '0', '身份证号27', '27fp.jpg', '27bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567200345', '卖家名称15', '卖家电话15', '15p.jpg', '卖家地址15', '0', '身份证号15', '15fp.jpg', '15bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567240243', '卖家名称21', '卖家电话21', '21p.jpg', '卖家地址21', '0', '身份证号21', '21fp.jpg', '21bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567280397', '卖家名称1', '卖家电话1', '1p.jpg', '卖家地址1', '0', '身份证号1', '1fp.jpg', '1bp.jpg', '2018-01-10 14:48:49', '2018-01-10 14:48:49');
INSERT INTO `seller` VALUES ('1515567323546', '卖家名称11', '卖家电话11', '11p.jpg', '卖家地址11', '0', '身份证号11', '11fp.jpg', '11bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567331356', '卖家名称25', '卖家电话25', '25p.jpg', '卖家地址25', '0', '身份证号25', '25fp.jpg', '25bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567331943', '卖家名称7', '卖家电话7', '7p.jpg', '卖家地址7', '0', '身份证号7', '7fp.jpg', '7bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567342017', '卖家名称28', '卖家电话28', '28p.jpg', '卖家地址28', '0', '身份证号28', '28fp.jpg', '28bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567362730', '卖家名称24', '卖家电话24', '24p.jpg', '卖家地址24', '0', '身份证号24', '24fp.jpg', '24bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567378240', '卖家名称3', '卖家电话3', '3p.jpg', '卖家地址3', '0', '身份证号3', '3fp.jpg', '3bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567399484', '卖家名称18', '卖家电话18', '18p.jpg', '卖家地址18', '0', '身份证号18', '18fp.jpg', '18bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567428946', '卖家名称29', '卖家电话29', '29p.jpg', '卖家地址29', '0', '身份证号29', '29fp.jpg', '29bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567435946', '卖家名称30', '卖家电话30', '30p.jpg', '卖家地址30', '0', '身份证号30', '30fp.jpg', '30bp.jpg', '2018-01-10 14:48:53', '2018-01-10 14:48:53');
INSERT INTO `seller` VALUES ('1515567454772', '卖家名称20', '卖家电话20', '20p.jpg', '卖家地址20', '0', '身份证号20', '20fp.jpg', '20bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567485528', '卖家名称23', '卖家电话23', '23p.jpg', '卖家地址23', '0', '身份证号23', '23fp.jpg', '23bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567525046', '卖家名称13', '卖家电话13', '13p.jpg', '卖家地址13', '0', '身份证号13', '13fp.jpg', '13bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567550083', '卖家名称5', '卖家电话5', '5p.jpg', '卖家地址5', '0', '身份证号5', '5fp.jpg', '5bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567551649', '卖家名称6', '卖家电话6', '6p.jpg', '卖家地址6', '0', '身份证号6', '6fp.jpg', '6bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567603758', '卖家名称26', '卖家电话26', '26p.jpg', '卖家地址26', '0', '身份证号26', '26fp.jpg', '26bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567622023', '卖家名称8', '卖家电话8', '8p.jpg', '卖家地址8', '0', '身份证号8', '8fp.jpg', '8bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567634108', '卖家名称12', '卖家电话12', '12p.jpg', '卖家地址12', '0', '身份证号12', '12fp.jpg', '12bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567645494', '卖家名称22', '卖家电话22', '22p.jpg', '卖家地址22', '0', '身份证号22', '22fp.jpg', '22bp.jpg', '2018-01-10 14:48:52', '2018-01-10 14:48:52');
INSERT INTO `seller` VALUES ('1515567673674', '卖家名称9', '卖家电话9', '9p.jpg', '卖家地址9', '0', '身份证号9', '9fp.jpg', '9bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
INSERT INTO `seller` VALUES ('1515567702126', '卖家名称14', '卖家电话14', '14p.jpg', '卖家地址14', '0', '身份证号14', '14fp.jpg', '14bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567841778', '卖家名称16', '卖家电话16', '16p.jpg', '卖家地址16', '0', '身份证号16', '16fp.jpg', '16bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567857717', '卖家名称17', '卖家电话17', '17p.jpg', '卖家地址17', '0', '身份证号17', '17fp.jpg', '17bp.jpg', '2018-01-10 14:48:51', '2018-01-10 14:48:51');
INSERT INTO `seller` VALUES ('1515567903784', '卖家名称10', '卖家电话10', '10p.jpg', '卖家地址10', '0', '身份证号10', '10fp.jpg', '10bp.jpg', '2018-01-10 14:48:50', '2018-01-10 14:48:50');
-- ----------------------------
-- Table structure for shop
-- ----------------------------
DROP TABLE IF EXISTS `shop`;
CREATE TABLE `shop` (
`shop_id` bigint(20) NOT NULL,
`shop_name` varchar(64) NOT NULL,
`shop_address` varchar(512) NOT NULL,
`shop_phone` varchar(16) NOT NULL,
`shop_sale` int(11) NOT NULL DEFAULT '0',
`shop_desc` varchar(256) DEFAULT NULL,
`shop_grade` int(11) NOT NULL DEFAULT '0',
`shop_state` int(11) NOT NULL DEFAULT '0',
`limit_price` decimal(10,2) NOT NULL DEFAULT '0.00',
`send_price` decimal(10,2) NOT NULL DEFAULT '0.00',
`work_time` time NOT NULL,
`is_recom` tinyint(1) NOT NULL DEFAULT '0',
`recom_order` int(11) NOT NULL DEFAULT '0',
`seller_id` bigint(20) NOT NULL,
PRIMARY KEY (`shop_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of shop
-- ----------------------------
INSERT INTO `shop` VALUES ('1515567033782', '商店名称10', '商店地址10', '商店电话10', '10', '商店描述10', '2', '1', '0.00', '10.00', '14:48:51', '1', '10', '1515567903784');
INSERT INTO `shop` VALUES ('1515567078469', '商店名称9', '商店地址9', '商店电话9', '9', '商店描述9', '1', '0', '0.00', '9.00', '14:48:51', '1', '9', '1515567673674');
INSERT INTO `shop` VALUES ('1515567082566', '商店名称28', '商店地址28', '商店电话28', '28', '商店描述28', '2', '1', '28.00', '28.00', '14:48:53', '0', '28', '1515567342017');
INSERT INTO `shop` VALUES ('1515567089620', '商店名称23', '商店地址23', '商店电话23', '23', '商店描述23', '4', '1', '23.00', '23.00', '14:48:52', '0', '23', '1515567485528');
INSERT INTO `shop` VALUES ('1515567140661', '商店名称6', '商店地址6', '商店电话6', '6', '商店描述6', '3', '1', '4.00', '6.00', '14:48:50', '1', '6', '1515567551649');
INSERT INTO `shop` VALUES ('1515567149563', '商店名称3', '商店地址3', '商店电话3', '3', '商店描述3', '2', '1', '3.00', '3.00', '14:48:50', '1', '3', '1515567378240');
INSERT INTO `shop` VALUES ('1515567152567', '商店名称19', '商店地址19', '商店电话19', '19', '商店描述19', '4', '1', '19.00', '19.00', '14:48:52', '0', '19', '1515567070365');
INSERT INTO `shop` VALUES ('1515567203574', '商店名称27', '商店地址27', '商店电话27', '27', '商店描述27', '1', '1', '0.00', '27.00', '14:48:52', '0', '27', '1515567157476');
INSERT INTO `shop` VALUES ('1515567216824', '商店名称30', '商店地址30', '商店电话30', '30', '商店描述30', '1', '1', '30.00', '30.00', '14:48:53', '0', '30', '1515567435946');
INSERT INTO `shop` VALUES ('1515567225678', '商店名称4', '商店地址4', '商店电话4', '4', '商店描述4', '1', '1', '4.00', '4.00', '14:48:50', '1', '4', '1515567065078');
INSERT INTO `shop` VALUES ('1515567251796', '商店名称24', '商店地址24', '商店电话24', '24', '商店描述24', '4', '1', '24.00', '24.00', '14:48:52', '0', '24', '1515567362730');
INSERT INTO `shop` VALUES ('1515567401926', '商店名称11', '商店地址11', '商店电话11', '11', '商店描述11', '3', '1', '11.00', '11.00', '14:48:51', '0', '11', '1515567323546');
INSERT INTO `shop` VALUES ('1515567449883', '商店名称18', '商店地址18', '商店电话18', '18', '商店描述18', '3', '1', '18.00', '18.00', '14:48:52', '0', '18', '1515567399484');
INSERT INTO `shop` VALUES ('1515567474859', '商店名称7', '商店地址7', '商店电话7', '7', '商店描述7', '0', '1', '7.00', '7.00', '14:48:50', '1', '7', '1515567331943');
INSERT INTO `shop` VALUES ('1515567507305', '商店名称20', '商店地址20', '商店电话20', '20', '商店描述20', '4', '1', '20.00', '20.00', '14:48:52', '0', '20', '1515567454772');
INSERT INTO `shop` VALUES ('1515567548902', '商店名称29', '商店地址29', '商店电话29', '29', '商店描述29', '3', '1', '29.00', '29.00', '14:48:53', '0', '29', '1515567428946');
INSERT INTO `shop` VALUES ('1515567627606', '商店名称1', '商店地址1', '商店电话1', '1', '商店描述1', '3', '1', '1.00', '1.00', '14:48:50', '1', '1', '1515567280397');
INSERT INTO `shop` VALUES ('1515567658402', '商店名称15', '商店地址15', '商店电话15', '15', '商店描述15', '3', '1', '15.00', '15.00', '14:48:51', '0', '15', '1515567200345');
INSERT INTO `shop` VALUES ('1515567662052', '商店名称25', '商店地址25', '商店电话25', '25', '商店描述25', '0', '1', '25.00', '25.00', '14:48:52', '0', '25', '1515567331356');
INSERT INTO `shop` VALUES ('1515567672934', '商店名称5', '商店地址5', '商店电话5', '5', '商店描述5', '3', '1', '5.00', '5.00', '14:48:50', '1', '5', '1515567550083');
INSERT INTO `shop` VALUES ('1515567678473', '商店名称2', '商店地址2', '商店电话2', '2', '商店描述2', '1', '1', '2.00', '2.00', '14:48:50', '1', '2', '1515567157200');
INSERT INTO `shop` VALUES ('1515567705968', '商店名称21', '商店地址21', '商店电话21', '21', '商店描述21', '1', '1', '21.00', '21.00', '14:48:52', '0', '21', '1515567240243');
INSERT INTO `shop` VALUES ('1515567709725', '商店名称16', '商店地址16', '商店电话16', '16', '商店描述16', '2', '0', '1.00', '16.00', '14:48:51', '0', '16', '1515567841778');
INSERT INTO `shop` VALUES ('1515567712883', '商店名称14', '商店地址14', '商店电话14', '14', '商店描述14', '3', '1', '14.00', '14.00', '14:48:51', '0', '14', '1515567702126');
INSERT INTO `shop` VALUES ('1515567741677', '商店名称12', '商店地址12', '商店电话12', '12', '商店描述12', '2', '1', '12.00', '12.00', '14:48:51', '0', '12', '1515567634108');
INSERT INTO `shop` VALUES ('1515567761702', '商店名称17', '商店地址17', '商店电话17', '17', '商店描述17', '2', '1', '17.00', '17.00', '14:48:51', '0', '17', '1515567857717');
INSERT INTO `shop` VALUES ('1515567775797', '商店名称8', '商店地址8', '商店电话8', '8', '商店描述8', '2', '1', '8.00', '8.00', '14:48:50', '1', '8', '1515567622023');
INSERT INTO `shop` VALUES ('1515567851722', '商店名称22', '商店地址22', '商店电话22', '22', '商店描述22', '1', '1', '0.00', '22.00', '14:48:52', '0', '22', '1515567645494');
INSERT INTO `shop` VALUES ('1515567855952', '商店名称26', '商店地址26', '商店电话26', '26', '商店描述26', '0', '1', '26.00', '26.00', '14:48:52', '0', '26', '1515567603758');
INSERT INTO `shop` VALUES ('1515567861735', '商店名称13', '商店地址13', '商店电话13', '13', '商店描述13', '0', '1', '13.00', '13.00', '14:48:51', '0', '13', '1515567525046');
-- ----------------------------
-- Table structure for shop_comment
-- ----------------------------
DROP TABLE IF EXISTS `shop_comment`;
CREATE TABLE `shop_comment` (
`comment_id` bigint(20) NOT NULL,
`comment_grade` int(11) DEFAULT NULL,
`comment_content` varchar(256) DEFAULT NULL,
`comment_picture` varchar(512) DEFAULT NULL,
`shop_id` bigint(20) DEFAULT NULL,
`user_id` bigint(20) DEFAULT NULL,
`order_id` bigint(20) DEFAULT NULL,
PRIMARY KEY (`comment_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of shop_comment
-- ----------------------------
INSERT INTO `shop_comment` VALUES ('1515662906662', '1', '商品评论4', '4.jpg', '1515567203574', '2', null);
INSERT INTO `shop_comment` VALUES ('1515662918591', '3', '商品评论1', '1.jpg', '1515567861735', '2', null);
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INSERT INTO `shop_comment` VALUES ('1515663643061', '2', '商品评论1', '1.jpg', '1515567507305', '3', null);
INSERT INTO `shop_comment` VALUES ('1515663651065', '2', '商品评论5', '5.jpg', '1515567658402', '2', null);
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INSERT INTO `shop_comment` VALUES ('1515663656029', '5', '商品评论3', '3.jpg', '1515567662052', '3', null);
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INSERT INTO `shop_comment` VALUES ('1515663668311', '4', '商品评论2', '2.jpg', '1515567658402', '1', null);
INSERT INTO `shop_comment` VALUES ('1515663670276', '2', '商品评论6', '6.jpg', '1515567741677', '3', null);
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INSERT INTO `shop_comment` VALUES ('1515663694634', '3', '商品评论2', '2.jpg', '1515567149563', '3', null);
INSERT INTO `shop_comment` VALUES ('1515663697297', '1', '商品评论1', '1.jpg', '1515567082566', '3', null);
INSERT INTO `shop_comment` VALUES ('1515663699836', '5', '商品评论6', '6.jpg', '1515567672934', '2', null);
INSERT INTO `shop_comment` VALUES ('1515663700579', '4', '商品评论6', '6.jpg', '1515567851722', '1', null);
INSERT INTO `shop_comment` VALUES ('1515663700924', '5', '商品评论5', '5.jpg', '1515567861735', '3', null);
INSERT INTO `shop_comment` VALUES ('1515663706603', '1', '商品评论4', '4.jpg', '1515567449883', '2', null);
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INSERT INTO `shop_comment` VALUES ('1515663719378', '1', '商品评论3', '3.jpg', '1515567861735', '1', null);
INSERT INTO `shop_comment` VALUES ('1515663720904', '2', '商品评论3', '3.jpg', '1515567225678', '1', null);
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INSERT INTO `shop_comment` VALUES ('1515663795183', '3', '商品评论3', '3.jpg', '1515567152567', '3', null);
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-- ----------------------------
-- Table structure for shop_pcategory
-- ----------------------------
DROP TABLE IF EXISTS `shop_pcategory`;
CREATE TABLE `shop_pcategory` (
`join_id` bigint(20) NOT NULL,
`shop_id` bigint(20) DEFAULT NULL,
`pcategory_id` bigint(20) DEFAULT NULL,
PRIMARY KEY (`join_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of shop_pcategory
-- ----------------------------
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INSERT INTO `shop_pcategory` VALUES ('1515568332790', '1515567225678', '1515557309728');
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INSERT INTO `shop_pcategory` VALUES ('1515568646624', '1515567507305', '1515557684767');
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INSERT INTO `shop_pcategory` VALUES ('1515568651861', '1515567449883', '1515557258011');
INSERT INTO `shop_pcategory` VALUES ('1515568652727', '1515567741677', '1515557258011');
INSERT INTO `shop_pcategory` VALUES ('1515568656233', '1515567658402', '1515557064589');
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INSERT INTO `shop_pcategory` VALUES ('1515568725470', '1515567548902', '1515557309728');
INSERT INTO `shop_pcategory` VALUES ('1515568728878', '1515567089620', '1515557723921');
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INSERT INTO `shop_pcategory` VALUES ('1515568769805', '1515567678473', '1515557740606');
INSERT INTO `shop_pcategory` VALUES ('1515568781443', '1515567078469', '1515557740606');
INSERT INTO `shop_pcategory` VALUES ('1515568781862', '1515567851722', '1515557684767');
INSERT INTO `shop_pcategory` VALUES ('1515568783202', '1515567678473', '1515557258011');
INSERT INTO `shop_pcategory` VALUES ('1515568786610', '1515567741677', '1515557684767');
INSERT INTO `shop_pcategory` VALUES ('1515568794590', '1515567627606', '1515557723921');
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INSERT INTO `shop_pcategory` VALUES ('1515568811284', '1515567216824', '1515557064589');
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INSERT INTO `shop_pcategory` VALUES ('1515568880570', '1515567678473', '1515557489486');
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INSERT INTO `shop_pcategory` VALUES ('1515568919981', '1515567152567', '1515557064589');
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INSERT INTO `shop_pcategory` VALUES ('1515569040979', '1515567033782', '1515557740606');
INSERT INTO `shop_pcategory` VALUES ('1515569042644', '1515567401926', '1515557489486');
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INSERT INTO `shop_pcategory` VALUES ('1515569188814', '1515567712883', '1515557740606');
INSERT INTO `shop_pcategory` VALUES ('1515569191352', '1515567401926', '1515557258011');
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INSERT INTO `shop_pcategory` VALUES ('1515569199452', '1515567082566', '1515557723921');
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-- ----------------------------
-- Table structure for shop_picture
-- ----------------------------
DROP TABLE IF EXISTS `shop_picture`;
CREATE TABLE `shop_picture` (
`picture_id` bigint(20) NOT NULL,
`picture_path` varchar(512) NOT NULL,
`shop_id` bigint(20) NOT NULL,
PRIMARY KEY (`picture_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of shop_picture
-- ----------------------------
INSERT INTO `shop_picture` VALUES ('1515567175160', 's.png', '1515567851722');
INSERT INTO `shop_picture` VALUES ('1515567186890', 's.png', '1515567474859');
INSERT INTO `shop_picture` VALUES ('1515567193349', 's.png', '1515567662052');
INSERT INTO `shop_picture` VALUES ('1515567197860', 's.png', '1515567203574');
INSERT INTO `shop_picture` VALUES ('1515567211210', 's.png', '1515567855952');
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INSERT INTO `shop_picture` VALUES ('1515567212958', 's.png', '1515567078469');
INSERT INTO `shop_picture` VALUES ('1515567215634', 's.png', '1515567627606');
INSERT INTO `shop_picture` VALUES ('1515567219610', 's.png', '1515567078469');
INSERT INTO `shop_picture` VALUES ('1515567227065', 's.png', '1515567548902');
INSERT INTO `shop_picture` VALUES ('1515567228723', 's.png', '1515567761702');
INSERT INTO `shop_picture` VALUES ('1515567229287', 's.png', '1515567851722');
INSERT INTO `shop_picture` VALUES ('1515567231786', 's.png', '1515567149563');
INSERT INTO `shop_picture` VALUES ('1515567234761', 's.png', '1515567855952');
INSERT INTO `shop_picture` VALUES ('1515567238614', 's.png', '1515567449883');
INSERT INTO `shop_picture` VALUES ('1515567247436', 's.png', '1515567225678');
INSERT INTO `shop_picture` VALUES ('1515567267916', 's.png', '1515567709725');
INSERT INTO `shop_picture` VALUES ('1515567268827', 's.png', '1515567861735');
INSERT INTO `shop_picture` VALUES ('1515567281377', 's.png', '1515567203574');
INSERT INTO `shop_picture` VALUES ('1515567297609', 's.png', '1515567078469');
INSERT INTO `shop_picture` VALUES ('1515567302675', 's.png', '1515567672934');
INSERT INTO `shop_picture` VALUES ('1515567309049', 's.png', '1515567140661');
INSERT INTO `shop_picture` VALUES ('1515567310072', 's.png', '1515567474859');
INSERT INTO `shop_picture` VALUES ('1515567336590', 's.png', '1515567507305');
INSERT INTO `shop_picture` VALUES ('1515567336632', 's.png', '1515567678473');
INSERT INTO `shop_picture` VALUES ('1515567344277', 's.png', '1515567627606');
INSERT INTO `shop_picture` VALUES ('1515567345388', 's.png', '1515567140661');
INSERT INTO `shop_picture` VALUES ('1515567349284', 's.png', '1515567627606');
INSERT INTO `shop_picture` VALUES ('1515567349631', 's.png', '1515567705968');
INSERT INTO `shop_picture` VALUES ('1515567366780', 's.png', '1515567712883');
INSERT INTO `shop_picture` VALUES ('1515567387434', 's.png', '1515567225678');
INSERT INTO `shop_picture` VALUES ('1515567397476', 's.png', '1515567449883');
INSERT INTO `shop_picture` VALUES ('1515567406863', 's.png', '1515567507305');
INSERT INTO `shop_picture` VALUES ('1515567412126', 's.png', '1515567082566');
INSERT INTO `shop_picture` VALUES ('1515567415164', 's.png', '1515567033782');
INSERT INTO `shop_picture` VALUES ('1515567437293', 's.png', '1515567861735');
INSERT INTO `shop_picture` VALUES ('1515567444453', 's.png', '1515567662052');
INSERT INTO `shop_picture` VALUES ('1515567462402', 's.png', '1515567658402');
INSERT INTO `shop_picture` VALUES ('1515567478741', 's.png', '1515567149563');
INSERT INTO `shop_picture` VALUES ('1515567480348', 's.png', '1515567216824');
INSERT INTO `shop_picture` VALUES ('1515567484085', 's.png', '1515567082566');
INSERT INTO `shop_picture` VALUES ('1515567486430', 's.png', '1515567401926');
INSERT INTO `shop_picture` VALUES ('1515567492361', 's.png', '1515567775797');
INSERT INTO `shop_picture` VALUES ('1515567505721', 's.png', '1515567507305');
INSERT INTO `shop_picture` VALUES ('1515567511451', 's.png', '1515567678473');
INSERT INTO `shop_picture` VALUES ('1515567520814', 's.png', '1515567251796');
INSERT INTO `shop_picture` VALUES ('1515567520937', 's.png', '1515567855952');
INSERT INTO `shop_picture` VALUES ('1515567526303', 's.png', '1515567548902');
INSERT INTO `shop_picture` VALUES ('1515567538144', 's.png', '1515567251796');
INSERT INTO `shop_picture` VALUES ('1515567553672', 's.png', '1515567672934');
INSERT INTO `shop_picture` VALUES ('1515567567079', 's.png', '1515567203574');
INSERT INTO `shop_picture` VALUES ('1515567614278', 's.png', '1515567089620');
INSERT INTO `shop_picture` VALUES ('1515567627416', 's.png', '1515567658402');
INSERT INTO `shop_picture` VALUES ('1515567630851', 's.png', '1515567089620');
INSERT INTO `shop_picture` VALUES ('1515567646551', 's.png', '1515567712883');
INSERT INTO `shop_picture` VALUES ('1515567647504', 's.png', '1515567251796');
INSERT INTO `shop_picture` VALUES ('1515567661655', 's.png', '1515567225678');
INSERT INTO `shop_picture` VALUES ('1515567672826', 's.png', '1515567705968');
INSERT INTO `shop_picture` VALUES ('1515567693880', 's.png', '1515567474859');
INSERT INTO `shop_picture` VALUES ('1515567697958', 's.png', '1515567761702');
INSERT INTO `shop_picture` VALUES ('1515567702575', 's.png', '1515567449883');
INSERT INTO `shop_picture` VALUES ('1515567746491', 's.png', '1515567851722');
INSERT INTO `shop_picture` VALUES ('1515567757845', 's.png', '1515567741677');
INSERT INTO `shop_picture` VALUES ('1515567764829', 's.png', '1515567712883');
INSERT INTO `shop_picture` VALUES ('1515567774437', 's.png', '1515567705968');
INSERT INTO `shop_picture` VALUES ('1515567788170', 's.png', '1515567662052');
INSERT INTO `shop_picture` VALUES ('1515567788880', 's.png', '1515567775797');
INSERT INTO `shop_picture` VALUES ('1515567794782', 's.png', '1515567089620');
INSERT INTO `shop_picture` VALUES ('1515567798011', 's.png', '1515567140661');
INSERT INTO `shop_picture` VALUES ('1515567801634', 's.png', '1515567861735');
INSERT INTO `shop_picture` VALUES ('1515567845499', 's.png', '1515567152567');
INSERT INTO `shop_picture` VALUES ('1515567852375', 's.png', '1515567152567');
INSERT INTO `shop_picture` VALUES ('1515567879201', 's.png', '1515567401926');
INSERT INTO `shop_picture` VALUES ('1515567883130', 's.png', '1515567152567');
INSERT INTO `shop_picture` VALUES ('1515567889526', 's.png', '1515567401926');
INSERT INTO `shop_picture` VALUES ('1515567895639', 's.png', '1515567216824');
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INSERT INTO `shop_picture` VALUES ('1515567914550', 's.png', '1515567033782');
INSERT INTO `shop_picture` VALUES ('1515567916546', 's.png', '1515567149563');
INSERT INTO `shop_picture` VALUES ('1515567926085', 's.png', '1515567709725');
INSERT INTO `shop_picture` VALUES ('1515567936049', 's.png', '1515567548902');
INSERT INTO `shop_picture` VALUES ('1515567958925', 's.png', '1515567672934');
INSERT INTO `shop_picture` VALUES ('1515567961755', 's.png', '1515567709725');
INSERT INTO `shop_picture` VALUES ('1515567989306', 's.png', '1515567741677');
INSERT INTO `shop_picture` VALUES ('1515567998722', 's.png', '1515567033782');
INSERT INTO `shop_picture` VALUES ('1515568021003', 's.png', '1515567216824');
INSERT INTO `shop_picture` VALUES ('1515568022431', 's.png', '1515567678473');
INSERT INTO `shop_picture` VALUES ('1515568026596', 's.png', '1515567761702');
INSERT INTO `shop_picture` VALUES ('1515568040086', 's.png', '1515567741677');
INSERT INTO `shop_picture` VALUES ('1515568043346', 's.png', '1515567658402');
-- ----------------------------
-- Table structure for user
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`user_id` bigint(20) NOT NULL,
`user_name` varchar(12) COLLATE utf8_bin DEFAULT NULL,
`user_password` varchar(50) COLLATE utf8_bin DEFAULT NULL,
`user_head_path` varchar(100) COLLATE utf8_bin DEFAULT NULL,
`register` timestamp NULL DEFAULT NULL,
`user_phone` varchar(12) COLLATE utf8_bin DEFAULT NULL,
PRIMARY KEY (`user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
-- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES ('1', '用户1', null, 'head1.jpg', null, null);
INSERT INTO `user` VALUES ('2', '用户2', null, 'head2.jpg', null, null);
INSERT INTO `user` VALUES ('3', '用户3', null, 'head3.jpg', null, null);
INSERT INTO `user` VALUES ('4', '用户4', null, 'head4.jpg', null, null);
INSERT INTO `user` VALUES ('1516332510603', 'lisi', 'dc483e80a7a0bd9ef71d8cf973673924', null, null, '18934043766');
-- ----------------------------
-- Table structure for user_address
-- ----------------------------
DROP TABLE IF EXISTS `user_address`;
CREATE TABLE `user_address` (
`address_id` bigint(20) NOT NULL,
`user_address` varchar(250) COLLATE utf8_bin NOT NULL,
`phone` varchar(12) COLLATE utf8_bin NOT NULL,
`user_id` bigint(20) NOT NULL,
`house_number` varchar(50) COLLATE utf8_bin DEFAULT NULL,
`consignee` varchar(30) COLLATE utf8_bin NOT NULL,
`Is_default` tinyint(4) NOT NULL,
PRIMARY KEY (`address_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
-- ----------------------------
-- Records of user_address
-- ----------------------------
INSERT INTO `user_address` VALUES ('1', '广东省', '13420111111', '1', null, '', '0');
INSERT INTO `user_address` VALUES ('1516369022659', '广东海洋大学科技楼1', '18934043756', '1516332510603', '科技楼418', '小豪1', '1');
INSERT INTO `user_address` VALUES ('1516369139742', '广东海洋大学科技楼2', '18934043757', '1516332510603', '科技楼418', '小豪2', '0');
INSERT INTO `user_address` VALUES ('1516369205213', '广东海洋大学科技楼', '18934043755', '1516332510603', '科技楼418', '小豪', '0');
INSERT INTO `user_address` VALUES ('1516369380410', '广东海洋大学科技楼6', '18934043758', '1516332510603', '科技楼418', '小志8', '0');
SET FOREIGN_KEY_CHECKS=1;
| true |
e9cfd2b3df4378d2d5dfb686ab3c38aa82d04b99 | SQL | zeroest/KITRI_ORACLEDB | /ORACLE_DB 정리/CURSOR.sql | UTF-8 | 4,426 | 4.09375 | 4 | [] | no_license |
http://www.gurubee.net/lecture/1064
cursor 사용 : 반복문
1> 오라클 sql 작업 결과 저장 영역 입니다.
2> 프로그래머에 의해 선언되며 이름이 있는 cursor 정의 가능
3> 조회 결과 메모리 저장 영역 접근 참조 포인터
1. 선언 declare ( is 부분)
cursor 커서이름
is
select first_name from employees
where employee_id >= 300;
-----------------
2. 사용 --(begin 부분)
open cursor이름;
loop
fetch cursor명
exit when cursor 내부 조회 데이터 없을 때
...출력...
end loop;
close cursor;
--전체 구성
create proc
is
cursor 커서명
is
select * from departments where ...;
(pk의 경우 유니크 조건이 있어 커서 필요 없다.)
면수명 타입;(fetch 한 데이터를 받을 변수)
...
...
begin
open 커서명;
loop
fetch 커서명 into 변수명1, 변수명2,... ;
exit when 커서명%notfound; (커서의 변수)
dbms_output.put_line(변수1);
dbms_output.put_line(변수2);
end loop;
close 커서명;
end;
/
____________
| |
V ^(no)
declare > open > fetch > empty > close
이름있는 sql cursor활성화 커서의 현재 현재행의 존재 커서가 사용한
영역생성 데이터행을 해당 여부검사 자원을 해제
변수에 넘긴다. 레코드가 없으면
fetch하지 않음
--변수 타입
number 테이블명.컬럼명%type
varchar2 변수명%type
date 테이블명%rowtype -테이블의 모든 컬럼타입 가져온다
boolean
--cursor의 속성값을 저장한 변수들
cursor명%rowcount
cursor명%found
cursor명%notfound
cursor명%isopen
===========================================================
--select employee_id from employees;
create or replace procedure emp_cursor1
is
v_id employees.employee_id%type;
cursor emp_id_cursor
is
select employee_id from employees;
begin
open emp_id_cursor;
loop
fetch emp_id_cursor into v_id;
exit when emp_id_cursor%notfound;
dbms_output.put_line(v_id);
end loop;
close emp_id_cursor;
end;
/
show error
exec emp_cursor1;
------------------------------------
--%rowtype
--select employee_id from employees;
create or replace procedure emp_cursor2
is
v_emp employees%rowtype;
v_cnt number := 0;
cursor emp_id_cursor
is
select * from employees;
begin
open emp_id_cursor;
loop
fetch emp_id_cursor into v_emp;
exit when emp_id_cursor%notfound;
dbms_output.put_line
('사번: '||v_emp.employee_id||
' 이름: '|| v_emp.first_name||
' 급여: '||v_emp.salary);
v_cnt := v_cnt+1;
end loop;
dbms_output.put_line
('레코드 갯수= '|| emp_id_cursor%rowcount);
dbms_output.put_line(v_cnt);
close emp_id_cursor;
if(emp_id_cursor%isopen) then
dbms_output.put_line
('레코드 갯수= '|| emp_id_cursor%rowcount);
end if;
end;
/
show error
exec emp_cursor2;
===================================================================
http://blog.kjslab.com/20
--오라클 프로시저 커서 (CURSOR) 3가지 생성 방법.
1.커서의 내용을 미리 정의 해 놓고 사용하는 방법.
DECLARE
CURSOR C_LIST IS
SELECT MY_ID FROM MY_TABLE WHERE 조건;
BEGIN
FOR I_ID IN C_LIST LOOP
DBMS_OUTPUT.put_line(I_ID);
END LOOP;
END;
비추천
커서의 내용을 정할 때 select 문제 동적으로 parameter가 넘어가야 할 경우 사용이 불가능 하다.
왜냐하면 BEGIN 전에 정의하기 때문이다.
2.커서 변수를 미리 만들어 놓고 불러서 사용하는 방법.
DECLARE
I_ID VARCHAR2(100); -- 변수 정의
C_LIST SYS_REFCURSOR; -- 커서 정의
BEGIN
OPEN C_LIST FOR
SELECT MY_ID
FROM MY_TABLE
WHERE 조건;
LOOP -- LOOP 돌기.
FETCH C_LIST
INTO I_ID; -- 하나씩 변수에 넣기.
EXIT WHEN C_LIST%NOTFOUND; -- 더이상 없으면 끝내기.
DBMS_OUTPUT.put_line(I_ID); -- 출력
END LOOP;
CLOSE C_LIST;
END;
재사용성이 있어서 나름 괜찮음.
커서를 정의 한 뒤 그 때 그 때 커서의 내용을 채우는 방법이다.
3.동적으로 커서를 생성해서 사용하는 방법
DECLARE
BEGIN
FOR C_LIST IN (SELECT MY_ID FROM MY_TABLE WHERE 조건)
LOOP
DBMS_OUTPUT.put_line(C_LIST.I_ID);
END LOOP;
END;
강추~!!
커서를 미리 정의 할 필요도 없고, 변수를 미리 만들어 놓을 필요도 없다.
| true |
2a500fbf89759c60eadf6ae2914c5a9236f4e533 | SQL | agilsmeer/crud-anggota | /database/koperasi.sql | UTF-8 | 1,968 | 3.21875 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.7.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: 22 Agu 2019 pada 18.29
-- Versi Server: 10.1.26-MariaDB
-- PHP Version: 7.1.9
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: `koperasi`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `anggota`
--
CREATE TABLE `anggota` (
`id` int(11) NOT NULL,
`nik` bigint(16) NOT NULL,
`nama` varchar(100) NOT NULL,
`jenis_kelamin` enum('L','P') NOT NULL,
`tanggal_lahir` date NOT NULL,
`image_file` varchar(250) DEFAULT NULL,
`alamat` varchar(250) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `anggota`
--
INSERT INTO `anggota` (`id`, `nik`, `nama`, `jenis_kelamin`, `tanggal_lahir`, `image_file`, `alamat`) VALUES
(1, 3011510004, 'agil', 'L', '1995-10-30', '', 'gresik'),
(4, 3011510005, 'ukhti', 'P', '2000-12-03', '', 'gresik'),
(22, 3011510006, 'tejo', 'L', '1999-08-20', '', 'lamongan'),
(32, 3011510007, 'udin', 'L', '2014-01-28', '', 'tuban'),
(33, 3011510040, 'putri', 'P', '1997-06-10', 'C:\\fakepath\\blur.png', 'bali');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `anggota`
--
ALTER TABLE `anggota`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `nik` (`nik`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `anggota`
--
ALTER TABLE `anggota`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=34;
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 */;
| true |
9a077d950fb53203b773e48bb4711d427a40a863 | SQL | abruce225/DBS_CW1 | /07.sql | UTF-8 | 303 | 3.390625 | 3 | [] | no_license | SELECT course
FROM (SELECT course, Count(type)
FROM (SELECT DISTINCT course,
type
FROM (programmes
JOIN degrees
ON degree = code)) aggTab
GROUP BY course) finTab
WHERE count = 2;
| true |
8e3b7dae397f16b78cc749e4503471f5af66cda7 | SQL | carlosHernandez3101/Proyecto-Web-Tienda-Generica | /src/main/webapp/BD_Usuarios2.0.sql | UTF-8 | 2,829 | 3.65625 | 4 | [] | no_license | create database bd_tienda_generica;
use bd_tienda_generica;
create table usuarios (
usu_numero_cedula numeric(15,0) not null,
usu_nombre_completo varchar(150) not null,
usu_correo_electronico varchar(50) not null,
primary key (usu_numero_cedula)
);
create table cuentas (
usu_numero_cedula numeric(15,0) not null,
cue_nombre_usuario varchar(20) not null,
cue_contrasenia varchar(50) not null,
primary key (cue_nombre_usuario),
constraint fk_numero_cedula_usuario foreign key (usu_numero_cedula)
references usuarios (usu_numero_cedula) on delete cascade on update cascade
);
create table clientes (
cli_numero_cedula numeric(15,0) not null,
cli_nombre_completo varchar (150) not null,
cli_direccion varchar(50) not null,
cli_telefono numeric(10,0) not null,
cli_correo_electronico varchar(50) not null,
primary key (cli_numero_cedula)
);
create table proveedores(
prov_nit numeric(20,0) not null,
prov_nombre varchar(50) not null,
prov_dirrecion varchar(50) not null,
prov_telefono numeric(10,0) not null,
prov_ciudad numeric(20) not null,
primary key(prov_nit)
);
CREATE TABLE productos(
prod_codigo_producto bigint(20) not null,
prod_nombre varchar(50) not null,
prov_nit numeric(20,0) not null,
prov_nit numeric(20) not null,
prod_precio_compra double not null,
prod_iva_compra double not null,
prod_precio_venta double not null,
primary key (prod_codigo_producto),
constraint fk_prov_nit foreign key (prov_nit)
references proveedores (prov_nit) on delete cascade on update cascade
);
create table ventas(
venta_codigo bigint(20) not null auto_increment,
cli_numero_cedula numeric(15,0) not null,
usu_numero_cedula numeric(15,0) not null,
venta_iva double,
venta_total double,
venta_valor double,
primary key(venta_codigo),
constraint fk_cli_numero_cedula foreign key (cli_numero_cedula)
references cliente(cli_numero_cedula),
constraint fk_usu_numero_cedula foreign key (usu_numero_cedula)
references usuarios(usu_numero_cedula)
);
create table detalle_ventas(
det_venta_codigo bigint(20) not null auto_increment,
cantidad_productos int(11),
prod_codigo_producto bigint(20) not null,
venta_codigo bigint(20),
valor_total double,
valor_venta double,
valor_iva double,
primary key(det_venta_codigo),
constraint fk_codigo_producto foreign key (prod_codigo_producto)
references productos(prod_codigo_producto),
constraint fk_codigo_venta foreign key (venta_codigo)
references ventas(venta_codigo)
);
insert into usuarios values (1002958434, 'Carlos Enrique Hernandez Guerra', 'carlosguerra437@gmail.com');
insert into cuenta values(1002958434, 'admininicial', 'admin123456');
| true |
d63813af2f41582e5654e99b45cf241076d45a95 | SQL | appu22/SQL-Projects | /amazon tables/amazon.product_details.sql | UTF-8 | 1,984 | 3.859375 | 4 | [] | no_license | create table AMAZON.Product_Details(
P_ID int ,
P_NAME VARCHAR(15),
P_PRICE double ,
primary key (P_ID)
);
SELECT * FROM AMAZON.Product_Details;
USE AMAZON;
DESC AMAZON.product_details;
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (1,'MOBILE',15000.0);
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (2,'MOBILE MI ',20000.0);
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (5,'MOBILE MI ',6000.0);
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (8,'MOBILE MI ',8000.0);
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (9,'MOBILE MI ',8000.0);
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (3,'MOBILE REALME',1000.0);
insert INTO amazon.product_details (P_ID , P_NAME,P_PRICE) VALUES (4,'MOBILE SAM ' ,25000.0);
-- group
select count(P_ID), P_NAME from amazon.product_details group by P_NAME;
select count(P_ID), P_PRICE from amazon.product_details group by P_PRICE;
SELECT AVG(P_PRICE),P_NAME FROM amazon.product_details group by P_NAME;
SELECT SUM(P_PRICE),P_ID,P_NAME FROM amazon.product_details group by P_NAME HAVING sum(P_PRICE)>9000;
SELECT COUNT(P_ID),P_NAME FROM amazon.product_details group by P_NAME HAVING COUNT(P_ID)>2 order by P_NAME;
CREATE USER 'appu'@'localhost' IDENTIFIED BY 'appu1234';
GRANT ALL PRIVILEGES ON * . * TO 'appu'@'localhost';
SHOW GRANTS FOR 'appu'@'localhost';
-- GRANT ALL PRIVILEGES ON amazon.* TO 'appu'@'localhost';
select * from amazon.product_details where P_PRICE=(select max(P_PRICE) from amazon.product_details) ;
select * from amazon.product_details where P_PRICE between
(select min(P_PRICE)from amazon.product_details ) and (select max(P_PRICE) from amazon.product_details);
select * from amazon.product_details where P_PRICE=(select max(P_PRICE) from amazon.product_details)
and P_PRICE =(select min(P_PRICE) from amazon.product_details);
select max(P_PRICE) from amazon.product_details
group by P_PRICE ;
| true |
ca56075e2d2beb69b0b6e0e5e6ad72b22d9751ad | SQL | DenBlacky808/SQL | /dz_11_course_proj_3.sql | UTF-8 | 7,352 | 4.09375 | 4 | [] | no_license | -- 1. Создайте таблицу logs типа Archive. Пусть при каждом создании записи в таблицах users,
-- catalogs и products в таблицу logs помещается время и дата создания записи, название таблицы,
-- идентификатор первичного ключа и содержимое поля name.
DROP TABLE IF EXISTS logs;
CREATE TABLE logs (
created_at DATETIME NOT NULL,
table_name VARCHAR(45) NOT NULL,
str_id BIGINT(20) NOT NULL,
name_value VARCHAR(45) NOT NULL
) ENGINE = ARCHIVE;
-- TRIGGER users
DROP TRIGGER IF EXISTS watchlog_users;
delimiter //
CREATE TRIGGER watchlog_users AFTER INSERT ON users
FOR EACH ROW
BEGIN
INSERT INTO logs (created_at, table_name, str_id, name_value)
VALUES (NOW(), 'users', NEW.id, NEW.name);
END //
delimiter ;
-- TRIGGER catalogs
DROP TRIGGER IF EXISTS watchlog_catalogs;
delimiter //
CREATE TRIGGER watchlog_catalogs AFTER INSERT ON catalogs
FOR EACH ROW
BEGIN
INSERT INTO logs (created_at, table_name, str_id, name_value)
VALUES (NOW(), 'catalogs', NEW.id, NEW.name);
END //
delimiter ;
-- TRIGGER products
delimiter //
CREATE TRIGGER watchlog_products AFTER INSERT ON products
FOR EACH ROW
BEGIN
INSERT INTO logs (created_at, table_name, str_id, name_value)
VALUES (NOW(), 'products', NEW.id, NEW.name);
END //
delimiter ;
-- Курсовой проект
-- (по желанию) Скрипты создания структуры БД (с первичными ключами, индексами, внешними ключами)
-- Вашего курсового проекта - пункт 3 требований к курсовому проекту.
DROP DATABASE IF EXISTS uni;
CREATE DATABASE uni;
USE uni;
DROP TABLE IF EXISTS tracks;
CREATE TABLE tracks (
id SERIAL PRIMARY KEY, -- SERIAL = BIGINT UNSIGNED NOT NULL AUTO_INCREMENT UNIQUE
aj_id BIGINT UNSIGNED NOT NULL,
storage_id BIGINT UNSIGNED NOT NULL,
bpm INT UNSIGNED,
tonality VARCHAR(100),
chords VARCHAR(100),
track_length VARCHAR(20),
uni_views INT UNSIGNED,
created_at DATETIME DEFAULT NOW(),
updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
daw_name VARCHAR(100),
description TEXT,
all_style VARCHAR(100),
in_sys_at DATETIME DEFAULT NOW(),
all_tags TEXT,
all_mood TEXT
);
DROP TABLE IF EXISTS storage_tracks;
CREATE TABLE storage_tracks (
st_track_id SERIAL PRIMARY KEY,
file_name VARCHAR(100),
track_wav_link TEXT,
size INT UNSIGNED,
downloaded INT UNSIGNED,
proj_file_link TEXT,
samples_link TEXT,
midi_chords_link TEXT,
midi_melody_link TEXT
);
DROP TABLE IF EXISTS aj;
CREATE TABLE aj (
track_aj_id SERIAL PRIMARY KEY,
sales INT UNSIGNED,
aj_tags TEXT,
unique_pageviews INT UNSIGNED,
pageviews INT UNSIGNED,
entrances INT UNSIGNED,
avg_time_on_page VARCHAR(20),
bounce_rate VARCHAR(20),
perc_exits VARCHAR(20),
discount_status ENUM('enable', 'disable', 'used'),
mood TEXT,
price_1 INT UNSIGNED,
price_2 INT UNSIGNED,
price_3 INT UNSIGNED,
price_4 INT UNSIGNED
);
DROP TABLE IF EXISTS pages;
CREATE TABLE pages (
page_id SERIAL PRIMARY KEY,
post_id BIGINT UNSIGNED NOT NULL,
track_id BIGINT UNSIGNED NOT NULL,
media_id BIGINT UNSIGNED NOT NULL,
created_at DATETIME DEFAULT NOW(),
updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
INDEX (post_id),
INDEX (track_id),
INDEX (media_id)
);
DROP TABLE IF EXISTS posts;
CREATE TABLE posts (
id SERIAL PRIMARY KEY,
media_id BIGINT UNSIGNED NOT NULL,
post_text TEXT,
status VARCHAR(100),
theme VARCHAR(100),
INDEX (media_id)
);
DROP TABLE IF EXISTS media;
CREATE TABLE media (
id SERIAL PRIMARY KEY,
info BIGINT UNSIGNED NOT NULL,
videos_link TEXT,
fonts_link TEXT,
pics_link TEXT,
text_in_media TEXT,
INDEX (info)
);
DROP TABLE IF EXISTS messages;
CREATE TABLE messages (
id SERIAL PRIMARY KEY,
from_user_id BIGINT UNSIGNED NOT NULL,
status VARCHAR(100),
created_at DATETIME DEFAULT NOW(),
text_msg TEXT,
INDEX (from_user_id)
);
DROP TABLE IF EXISTS users;
CREATE TABLE users (
user_id SERIAL PRIMARY KEY,
track_id BIGINT UNSIGNED NOT NULL,
aj_push INT UNSIGNED,
name VARCHAR(100),
email VARCHAR(120) UNIQUE,
pass VARCHAR(120),
white_listed CHAR(1),
channel_yt TEXT,
category VARCHAR(100),
INDEX (track_id)
);
DROP TABLE IF EXISTS youtube;
CREATE TABLE youtube (
video_id SERIAL PRIMARY KEY,
track_id BIGINT UNSIGNED NOT NULL,
views BIGINT UNSIGNED NOT NULL,
link_id TEXT,
uni_user_id BIGINT UNSIGNED NOT NULL,
status VARCHAR(100),
advert_status ENUM('enable', 'disable'),
INDEX (uni_user_id),
INDEX (track_id)
);
DROP TABLE IF EXISTS info_data;
CREATE TABLE info_data (
info_id SERIAL PRIMARY KEY,
created_at DATETIME DEFAULT NOW(),
FAQ TEXT,
story TEXT,
license TEXT,
monetizing TEXT,
claim_id TEXT
);
DROP TABLE IF EXISTS patreon;
CREATE TABLE patreon (
pat_id SERIAL PRIMARY KEY,
level_id VARCHAR(100),
uni_user_id BIGINT UNSIGNED NOT NULL,
request_wl ENUM('active', 'non active'),
is_member ENUM('yes', 'no'),
confirm_date DATETIME DEFAULT NOW(),
created_at DATETIME DEFAULT NOW(),
num_supporters BIGINT UNSIGNED NOT NULL,
link_id TEXT,
INDEX (uni_user_id)
);
-- utility
-- ALTER TABLE tracks DROP CONSTRAINT yt_fk1
ALTER TABLE tracks ADD CONSTRAINT st_fk1
FOREIGN KEY (storage_id) REFERENCES storage_tracks(st_track_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE tracks ADD CONSTRAINT aj_fk1
FOREIGN KEY (aj_id) REFERENCES aj(track_aj_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE tracks ADD CONSTRAINT yt_fk1
FOREIGN KEY (id) REFERENCES youtube(track_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE tracks ADD CONSTRAINT usrs_fk1
FOREIGN KEY (id) REFERENCES users(track_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE users ADD CONSTRAINT uni_usrs_fk1
FOREIGN KEY (user_id) REFERENCES youtube(uni_user_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE users ADD CONSTRAINT msgs_fk1
FOREIGN KEY (user_id) REFERENCES messages(from_user_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE users ADD CONSTRAINT patr_usrs_fk1
FOREIGN KEY (user_id) REFERENCES patreon(uni_user_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE tracks ADD CONSTRAINT pgs_fk1
FOREIGN KEY (id) REFERENCES pages(track_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE posts ADD CONSTRAINT pgs_fk2
FOREIGN KEY (id) REFERENCES pages(post_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE media ADD CONSTRAINT pgs_fk3
FOREIGN KEY (id) REFERENCES pages(media_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE media ADD CONSTRAINT psts_fk1
FOREIGN KEY (id) REFERENCES posts(media_id)
ON UPDATE CASCADE ON DELETE CASCADE;
ALTER TABLE info_data ADD CONSTRAINT info_fk1
FOREIGN KEY (info_id) REFERENCES media(info)
ON UPDATE CASCADE ON DELETE CASCADE;
| true |
743c01e5c8732981eb8787dde5a3ca6d9e82c450 | SQL | halflite/modern-servlet-example | /api/db/migration/V2_0_2__create_admin.sql | UTF-8 | 583 | 3.5625 | 4 | [
"MIT"
] | permissive | CREATE TABLE `admin` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`account_id` bigint(20) NOT NULL COMMENT 'アカウントid',
`division` varchar(16) NOT NULL COMMENT '役割',
`modified` timestamp NOT NULL COMMENT '更新日時',
`created` timestamp NOT NULL COMMENT '登録日時',
PRIMARY KEY (`id`),
KEY `division` (`division`),
KEY `created` (`created`),
KEY `account_id` (`account_id`),
CONSTRAINT `admin_ibfk_1` FOREIGN KEY (`account_id`) REFERENCES `account` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='管理者' | true |
6b6b258394e646f38bdc2c0e65c221e074a49821 | SQL | RostislavStoyanov/FMICourses | /databases/databases_project/dataLoad.sql | UTF-8 | 2,709 | 3.1875 | 3 | [] | no_license | set schema 'fn45244';
/* Populate Departments*/
INSERT INTO Department(DepNo,Name,Address)
VALUES (1,'A','Address A'),
(2,'B','Address B'),
(3,'C','Address C');
/* Populate Publisher */
INSERT INTO Publisher(Name,Address)
VALUES ('Pearson','Pearson Address');
/* Populate Person
Random generated strings of length 10 and names */
INSERT INTO Person (PersonalNo, Name)
VALUES ('7327774267','Kiril Aleksandrov'),
('9514780291','Ivana Kaloyanova'),
('7552519423','Thomas Connolly'),
('5868822579','Carolyn Begg'),
('4529605119','Hector Garcia-Molina'),
('3192495355','Jeffrey D. Ullman'),
('6447180207','Jennifer Widom ');
INSERT INTO Person (PersonalNo, Name, Salary, SuperiorPersonalNo, Position, DepNo)
VALUES ('8617995849', 'Daniel Savov', 2000, NULL, 'Head of Library and dep 1', 1),
('5882713514', 'Ognian Ivanov', '1500', '8617995849', 'Head of Dep 2', '2'),
('1109589369', 'Hristo Kirilov', 1500, '8617995849', 'Head of Dep 3', 3),
('2216765139', 'Ludmil Petrov', 1200, '5882713514', 'Librarian', 2),
('4175332818', 'Ralitsa Lyudmilova', 1200, '8617995849', 'Librarian',1),
('0635190360', 'Mihaela Aleksandrova', 1200, '8617995849', 'Librarian',1),
('8713377078', 'Svetlana Andreyeva', 1200, '5882713514', 'Librarian',2),
('1352324154', 'Iliana Andonova', 1200, '1109589369', 'Librarian',3);
/* Populate Reader */
INSERT INTO Reader(ReaderID,RegistrationDate,ExpirationDate)
VALUES (1,'2018-06-18','2019-06-18'),
(2,'2019-02-11','2020-02-11');
/* Populate Registered */
INSERT INTO Registered(PersonalNo,ReaderID)
VALUES ('7327774267',1),
('9514780291',2);
/* Populate Fines */
/* Populate Book */
INSERT INTO Book(ISBN,Title,Pages,Edition,BackType,PublisherID,PublishDate)
VALUES ('9780131873254','Database Systems: The Complete Book',1248,2,'Paperback',1,'2008-06-15'),
('9780132943260','Database Systems: A Practical Approach to Design, Implementation, and Management',1440,6,'Paperback',1,'2014-01-18');
/* Populate WrittenBy*/
INSERT INTO WrittenBy(PersonalNo,ISBN)
VALUES ('4529605119','9780131873254'),
('3192495355','9780131873254'),
('6447180207','9780131873254'),
('7552519423','9780132943260'),
('5868822579','9780132943260');
/* Populate inventory */
INSERT INTO Inventory(SystemNo,ISBN,taken)
VALUES ('1','9780131873254',false),
('2','9780131873254',false),
('3','9780131873254',false),
('4','9780132943260',false),
('5','9780132943260',false),
('6','9780132943260',false);
/* Populate Borrows */
INSERT INTO Borrows(SystemNo,ReaderID,BorrowDate,DueDate,ReturnDate)
VALUES ('1',1,'2018-06-05','2018-06-25','2018-06-13'),
('2',2,'2018-06-05','2018-06-25','2018-06-13'),
('3',1,'2018-06-14','2018-07-03','2018-06-28'),
('4',1,'2018-03-09','2018-03-29','2018-03-21');
/* Populate Location */
INSERT INTO Location(DepNo,SystemNo)
VALUES (1,1),
(1,2),
(2,3),
(1,4),
(3,5); | true |
ff8450c55db98cf78fe6e0e4a509f0d74db2c7f1 | SQL | MarvinJimenez13/SacaLasRetas | /TABLAS/usuarios.sql | UTF-8 | 2,402 | 3.03125 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 4.7.4
-- https://www.phpmyadmin.net/
--
-- Servidor: 127.0.0.1
-- Tiempo de generación: 04-12-2017 a las 07:06:37
-- Versión del servidor: 10.1.28-MariaDB
-- Versión de PHP: 7.1.10
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 */;
--
-- Base de datos: `redsocial`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `usuarios`
--
CREATE TABLE `usuarios` (
`id_use` int(11) NOT NULL,
`nombre` varchar(100) NOT NULL,
`usuario` varchar(100) NOT NULL,
`contrasena` varchar(100) NOT NULL,
`avatar` varchar(200) NOT NULL,
`email` varchar(100) NOT NULL,
`fecha_reg` datetime NOT NULL,
`rango` int(11) NOT NULL,
`descripcion` varchar(1000) NOT NULL,
`edad` varchar(100) NOT NULL,
`tipfut` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `usuarios`
--
INSERT INTO `usuarios` (`id_use`, `nombre`, `usuario`, `contrasena`, `avatar`, `email`, `fecha_reg`, `rango`, `descripcion`, `edad`, `tipfut`) VALUES
(17, 'Marvin Roberto Jimenez Gamboa', 'admin', '1234', 'avatars/17.jpg', 'marvinjiga@hotmail.com', '2017-11-27 00:13:48', 1, 'Soy admin prro', '18', 'Soccer'),
(23, 'Reportero Uno', 'reporterouno', '1234', 'avatars/23.jpg', 'reportero@reportero.com', '2017-11-30 19:08:44', 0, 'Añadir', 'Añadir', 'Añadir'),
(24, 'Reportero Dos', 'reporterodos', '1234', 'avatars/24.jpg', 'reportero2@reportero.com', '2017-11-30 19:11:16', 0, 'Añadir', 'Añadir', 'Añadir'),
(25, 'Usuario Uno', 'usuario', '1234', 'avatars/25.jpg', 'usuario@usuario.com', '2017-11-30 19:11:41', 2, 'Añadir', 'Añadir', 'Añadir');
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `usuarios`
--
ALTER TABLE `usuarios`
ADD PRIMARY KEY (`id_use`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `usuarios`
--
ALTER TABLE `usuarios`
MODIFY `id_use` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=27;
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 */;
| true |
3c08991ea29ba5a11d5d76f84c4bcd63698c5532 | SQL | development2gom/green-tenderos | /tenderos.sql | UTF-8 | 24,596 | 3.0625 | 3 | [
"BSD-3-Clause"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Servidor: 127.0.0.1
-- Tiempo de generación: 29-08-2018 a las 15:51:48
-- Versión del servidor: 10.1.9-MariaDB
-- Versión de PHP: 5.6.15
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
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 */;
--
-- Base de datos: `pepsi-tenderos`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `auth_assignment`
--
CREATE TABLE `auth_assignment` (
`item_name` varchar(64) NOT NULL,
`user_id` int(10) UNSIGNED NOT NULL,
`created_at` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `auth_assignment`
--
INSERT INTO `auth_assignment` (`item_name`, `user_id`, `created_at`) VALUES
('admin', 3, 1531319316),
('super-admin', 1, 1534782944),
('super-admin', 2, 1531317601),
('usuario-normal', 4, 1531319492);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `auth_item`
--
CREATE TABLE `auth_item` (
`name` varchar(64) NOT NULL,
`type` smallint(6) NOT NULL,
`description` text,
`rule_name` varchar(64) DEFAULT NULL,
`data` blob,
`created_at` int(11) DEFAULT NULL,
`updated_at` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `auth_item`
--
INSERT INTO `auth_item` (`name`, `type`, `description`, `rule_name`, `data`, `created_at`, `updated_at`) VALUES
('admin', 1, 'Administrador del sistema', NULL, NULL, NULL, NULL),
('super-admin', 1, 'Super administrador del sistema', NULL, NULL, NULL, NULL),
('usuario-normal', 1, 'Usuario normal', NULL, NULL, NULL, NULL);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `auth_item_child`
--
CREATE TABLE `auth_item_child` (
`parent` varchar(64) NOT NULL,
`child` varchar(64) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `auth_item_child`
--
INSERT INTO `auth_item_child` (`parent`, `child`) VALUES
('super-admin', 'admin');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `auth_rule`
--
CREATE TABLE `auth_rule` (
`name` varchar(64) NOT NULL,
`data` blob,
`created_at` int(11) DEFAULT NULL,
`updated_at` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cat_historial_compras`
--
CREATE TABLE `cat_historial_compras` (
`id_compra` int(11) UNSIGNED NOT NULL,
`fch_compra` datetime NOT NULL,
`fch_registro` datetime NOT NULL,
`txt_clave_tienda` varchar(50) NOT NULL,
`id_tendero` int(11) UNSIGNED NOT NULL,
`num_cajas_compradas` int(11) UNSIGNED NOT NULL,
`b_habilitado` int(11) UNSIGNED NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `cat_historial_compras`
--
INSERT INTO `cat_historial_compras` (`id_compra`, `fch_compra`, `fch_registro`, `txt_clave_tienda`, `id_tendero`, `num_cajas_compradas`, `b_habilitado`) VALUES
(1, '2018-08-21 00:00:00', '2018-08-22 00:00:00', '1t', 1, 5, 1),
(2, '2018-08-22 00:00:00', '2018-08-23 00:00:00', '2t', 2, 3, 1),
(3, '2018-08-23 00:00:00', '2018-08-24 00:00:00', '3t', 3, 6, 1),
(4, '2018-08-24 00:00:00', '2018-08-25 00:00:00', '4t', 4, 8, 1),
(5, '2018-08-25 00:00:00', '2018-08-26 00:00:00', '5t', 5, 2, 1),
(6, '2018-08-26 00:00:00', '2018-08-27 00:00:00', '6t', 6, 1, 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cat_premios`
--
CREATE TABLE `cat_premios` (
`id_premio` int(11) UNSIGNED NOT NULL,
`txt_nombre` varchar(50) NOT NULL,
`num_puntuacion_min` int(11) UNSIGNED NOT NULL DEFAULT '0',
`num_puntuacion_premio` int(11) UNSIGNED NOT NULL DEFAULT '0',
`b_habilitado` int(11) UNSIGNED NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `cat_premios`
--
INSERT INTO `cat_premios` (`id_premio`, `txt_nombre`, `num_puntuacion_min`, `num_puntuacion_premio`, `b_habilitado`) VALUES
(1, 'playera', 40, 120, 1),
(2, 'pantalon', 60, 140, 1),
(3, 'sudadera', 80, 180, 1),
(4, 'gorra', 100, 220, 1),
(5, 'navaja', 120, 240, 1),
(6, 'tennis', 140, 280, 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cat_tenderos`
--
CREATE TABLE `cat_tenderos` (
`id_tendero` int(11) UNSIGNED NOT NULL,
`txt_clave_tienda` varchar(50) NOT NULL,
`txt_nombre` varchar(50) NOT NULL,
`txt_apellido_paterno` varchar(50) NOT NULL,
`txt_apellido_materno` varchar(50) NOT NULL,
`txt_telefono_movil` varchar(50) NOT NULL,
`txt_telefono_casa` varchar(50) DEFAULT NULL,
`txt_correo` varchar(50) DEFAULT NULL,
`txt_password` varchar(50) NOT NULL,
`num_puntos` int(11) UNSIGNED NOT NULL,
`b_habilitado` int(11) UNSIGNED NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `cat_tenderos`
--
INSERT INTO `cat_tenderos` (`id_tendero`, `txt_clave_tienda`, `txt_nombre`, `txt_apellido_paterno`, `txt_apellido_materno`, `txt_telefono_movil`, `txt_telefono_casa`, `txt_correo`, `txt_password`, `num_puntos`, `b_habilitado`) VALUES
(1, '1t', 'eduardo', 'mora', 'lopez', '550000000', '55123456', 'algo@2gom.com', '12345678', 33, 1),
(2, '2t', 'leticia', 'lopez', 'gonzalez', '550000000', '55123456', 'algo@2gom.com', '12345678', 20, 1),
(3, '3t', 'sofia', 'gutierrez', 'mora', '550000000', '55123456', 'algo@2gom.com', '12345678', 15, 1),
(4, '4t', 'lorena', 'montez', 'herrera', '550000000', '55123456', 'algo@2gom.com', '12345678', 40, 1),
(5, '5t', 'lili', 'herrera', 'mendez', '550000000', '55123456', 'algo@2gom.com', '12345678', 53, 1),
(6, '6t', 'lilit', 'gonzalez', 'juarez', '550000000', '55123456', 'algo@2gom.com', '12345678', 21, 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cat_tiendas_registradas`
--
CREATE TABLE `cat_tiendas_registradas` (
`id_tienda` int(11) NOT NULL,
`txt_clave_tienda` varchar(50) NOT NULL,
`b_habilitado` int(1) NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `cat_tiendas_registradas`
--
INSERT INTO `cat_tiendas_registradas` (`id_tienda`, `txt_clave_tienda`, `b_habilitado`) VALUES
(1, '1t', 1),
(2, '2t', 1),
(3, '3t', 1),
(4, '4t', 1),
(5, '5t', 1),
(6, '6t', 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_cat_status_sesiones`
--
CREATE TABLE `mod_usuarios_cat_status_sesiones` (
`id_status` int(10) UNSIGNED NOT NULL,
`txt_nombre` varchar(50) NOT NULL COMMENT 'Estatus de la sesión',
`txt_descripcion` varchar(500) DEFAULT NULL COMMENT 'Descripción del elemento',
`b_habilitado` int(10) UNSIGNED NOT NULL DEFAULT '1' COMMENT 'Booleano para saber si el registro esta habilitado'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_cat_status_usuarios`
--
CREATE TABLE `mod_usuarios_cat_status_usuarios` (
`id_status` int(10) UNSIGNED NOT NULL,
`txt_nombre` varchar(50) NOT NULL COMMENT 'Estatus del usuario',
`txt_descripcion` varchar(500) DEFAULT NULL COMMENT 'Descripción del elemento',
`b_habilitado` int(10) UNSIGNED NOT NULL DEFAULT '1' COMMENT 'Booleano para saber si el registro esta habilitado'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `mod_usuarios_cat_status_usuarios`
--
INSERT INTO `mod_usuarios_cat_status_usuarios` (`id_status`, `txt_nombre`, `txt_descripcion`, `b_habilitado`) VALUES
(1, 'Pendiente', NULL, 1),
(2, 'Activo', NULL, 1),
(3, 'Bloqueado', NULL, 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_cat_tipos_usuarios`
--
CREATE TABLE `mod_usuarios_cat_tipos_usuarios` (
`id_tipo_usuario` int(10) UNSIGNED NOT NULL,
`txt_nombre` varchar(100) NOT NULL,
`txt_descripcion` varchar(500) NOT NULL,
`b_habiliado` int(10) UNSIGNED NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_ent_sesiones`
--
CREATE TABLE `mod_usuarios_ent_sesiones` (
`id_sesion` bigint(20) UNSIGNED NOT NULL,
`id_usuario` int(10) UNSIGNED NOT NULL COMMENT 'Id del usuario que inicio sesión',
`id_status` int(10) UNSIGNED NOT NULL DEFAULT '1' COMMENT 'Status de la sesión',
`fch_creacion` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT 'Fecha en la que el usuario inicio sesión',
`fch_logout` timestamp NULL DEFAULT NULL COMMENT 'Fecha en la que el usuario finalizo la sesión',
`num_minutos_sesion` int(10) UNSIGNED NOT NULL DEFAULT '0' COMMENT 'Minutos que duraro la sesión del usuario',
`txt_ip` varchar(32) NOT NULL COMMENT 'Ip de donde se conecto el usuario',
`txt_ip_logout` varchar(32) DEFAULT NULL COMMENT 'Ip de donde el usuario se desconecto'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_ent_usuarios`
--
CREATE TABLE `mod_usuarios_ent_usuarios` (
`id_usuario` int(11) UNSIGNED NOT NULL,
`id_codigo` int(11) DEFAULT NULL,
`txt_auth_item` varchar(64) NOT NULL,
`txt_token` varchar(100) NOT NULL DEFAULT '0',
`txt_imagen` varchar(200) DEFAULT NULL,
`txt_username` varchar(255) NOT NULL,
`txt_apellido_paterno` varchar(30) DEFAULT NULL,
`txt_apellido_materno` varchar(30) DEFAULT NULL,
`txt_auth_key` varchar(32) NOT NULL,
`txt_password_hash` varchar(255) NOT NULL,
`txt_password_reset_token` varchar(255) DEFAULT NULL,
`txt_email` varchar(255) NOT NULL,
`fch_creacion` timestamp NULL DEFAULT NULL,
`fch_actualizacion` datetime DEFAULT NULL,
`id_status` int(10) UNSIGNED NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `mod_usuarios_ent_usuarios`
--
INSERT INTO `mod_usuarios_ent_usuarios` (`id_usuario`, `id_codigo`, `txt_auth_item`, `txt_token`, `txt_imagen`, `txt_username`, `txt_apellido_paterno`, `txt_apellido_materno`, `txt_auth_key`, `txt_password_hash`, `txt_password_reset_token`, `txt_email`, `fch_creacion`, `fch_actualizacion`, `id_status`) VALUES
(1, NULL, 'super-admin', 'usr7ca3eac6636e602cf7fdf8f65b89446c5a00b2c16e211', NULL, 'Admin', '-', '', 'k-ziUw4tgxv5ntE-63X2degFv_PKOEmX', '$2y$13$KMvq1bXb5pwruaH6sE84hufWjXQV.Vpt0U6Xk48OHD0FIs6ygQPRW', NULL, 'development@2gom.com.mx', '2017-11-08 10:06:42', NULL, 2),
(2, NULL, 'super-admin', 'usrba2aceda4773aa14552cb0966ef671ea5b46075b6ceea', NULL, 'alfonso', 'matias', NULL, 'l6EWAHYjSFomltnGSlNc4Ht64vXvQh2y', '$2y$13$qZtWXktF2pzZULIQY.D2NOaOT/qpGCITNQnMVxPRAKLwwZyMjfM/e', NULL, 'alfonso@2gom.com.mx', '2018-07-12 01:34:20', NULL, 2),
(3, NULL, 'admin', 'usrade99ffeddf5639cbf6926ae0ea9dd115b460dc2ba5f4', NULL, 'arturo', 'matias', NULL, 'dhxlKFdHTyXLQjGdcE0CVqPH0CJVn-JK', '$2y$13$eJ2172wLBzWiOGD/d7b1besDreuKTXoD8PRUjwbpyb7BuGCj5tOc2', NULL, 'mat8909_03@outlook.com', '2018-07-12 02:01:39', NULL, 2),
(4, NULL, 'usuario-normal', 'usr38523049bcb97e54c70834f3323218ca5b4614c36f190', NULL, '', '', NULL, 'F0VphXIPyNUwT_LYplydEZ51mgqvKuvJ', '$2y$13$NKzxA9tR73b8cZ.RXeRh/.5BiwjRlelZ3t94OBR3R8lmtngbn6PJC', NULL, '', '2018-07-12 02:31:32', NULL, 2);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_ent_usuarios_activacion`
--
CREATE TABLE `mod_usuarios_ent_usuarios_activacion` (
`id_usuario_activacion` int(10) UNSIGNED NOT NULL,
`id_usuario` int(10) UNSIGNED NOT NULL,
`txt_token` varchar(60) NOT NULL,
`txt_ip_activacion` varchar(60) DEFAULT NULL,
`fch_creacion` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`fch_activacion` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `mod_usuarios_ent_usuarios_activacion`
--
INSERT INTO `mod_usuarios_ent_usuarios_activacion` (`id_usuario_activacion`, `id_usuario`, `txt_token`, `txt_ip_activacion`, `fch_creacion`, `fch_activacion`) VALUES
(1, 7, 'actf3a153330f3d2c02b06de0c8d89268905a9b3486a19af', NULL, '2018-03-04 12:49:26', NULL),
(2, 8, 'actf3c89630b4d9e05e2b0212c1a666cd315a9b39c531975', NULL, '2018-03-04 13:11:49', NULL),
(3, 9, 'act44b58ae1e5baf9b2f354487c2ed637195a9b3a0697f42', NULL, '2018-03-04 13:12:54', NULL),
(4, 10, 'act19445cbfbe7239942c13c9b6e300b6c05a9b3a34a9282', '::1', '2018-03-04 13:13:40', '2018-03-04 13:14:01'),
(5, 12, 'actc59ccb791fba001b08fe6ad47b4f53515a9b45610d8b5', NULL, '2018-03-04 14:01:21', NULL);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_ent_usuarios_cambio_pass`
--
CREATE TABLE `mod_usuarios_ent_usuarios_cambio_pass` (
`id_usuario_cambio_pass` int(10) UNSIGNED NOT NULL,
`id_usuario` int(10) UNSIGNED NOT NULL,
`txt_token` varchar(60) NOT NULL COMMENT 'Token del registro',
`txt_ip` varchar(20) NOT NULL COMMENT 'Ip del usuario donde pidio el cambio de pass',
`txt_ip_cambio` varchar(20) DEFAULT NULL COMMENT 'Ip del usuario donde cambio el pass',
`fch_creacion` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT 'Fecha de creacion de registro',
`fch_finalizacion` timestamp NULL DEFAULT NULL COMMENT 'Fecha de expiracion de la solicitud de cambio de pass',
`fch_peticion_usada` timestamp NULL DEFAULT NULL COMMENT 'Fecha en la cual se utilizo la peticion',
`b_usado` int(1) UNSIGNED NOT NULL DEFAULT '0' COMMENT 'Booleano para saber si el usuario ha usado la peticion'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `mod_usuarios_ent_usuarios_cambio_pass`
--
INSERT INTO `mod_usuarios_ent_usuarios_cambio_pass` (`id_usuario_cambio_pass`, `id_usuario`, `txt_token`, `txt_ip`, `txt_ip_cambio`, `fch_creacion`, `fch_finalizacion`, `fch_peticion_usada`, `b_usado`) VALUES
(1, 2, 'solde71352f59ba4ec38452ffdfd1ad3c1e5b46078869ebf', '::1', NULL, '2018-07-12 01:35:04', '2018-07-14 01:35:04', NULL, 0),
(2, 2, 'solca35e52d45b49ae86dd559d89308b4205b460ed97bc55', '::1', NULL, '2018-07-12 02:06:17', '2018-07-14 02:06:17', NULL, 0),
(3, 2, 'solc5017774c775d9a7a1860d99c0f0aedf5b460f1b1a5fa', '::1', NULL, '2018-07-12 02:07:23', '2018-07-14 02:07:23', NULL, 0),
(4, 2, 'solb29db243dd16a4cef9ccf90cef51b5f25b460f33b1a28', '::1', NULL, '2018-07-12 02:07:47', '2018-07-14 02:07:47', NULL, 0),
(5, 3, 'sol431a46cb5cc3d0bb7096a331fbf85bc25b46118b1f028', '::1', NULL, '2018-07-12 02:17:47', '2018-07-14 02:17:47', NULL, 0),
(6, 3, 'solef449b44f7d657f747ec7383b8db62bd5b461212a969e', '::1', NULL, '2018-07-12 02:20:02', '2018-07-14 02:20:02', NULL, 0),
(7, 3, 'solff5a13bb3e61d931ab48e50872f376265b4612b91c867', '::1', NULL, '2018-07-12 02:22:49', '2018-07-14 02:22:49', NULL, 0);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `mod_usuarios_ent_usuarios_facebook`
--
CREATE TABLE `mod_usuarios_ent_usuarios_facebook` (
`id_usuario_facebook` int(10) UNSIGNED NOT NULL,
`id_usuario` int(10) UNSIGNED NOT NULL,
`id_facebook` bigint(20) NOT NULL,
`txt_url_photo` bigint(20) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `rel_premio_tendero`
--
CREATE TABLE `rel_premio_tendero` (
`id_premio_tendero` int(11) UNSIGNED NOT NULL,
`txt_clave_tienda` varchar(50) NOT NULL,
`id_premio` int(11) UNSIGNED NOT NULL,
`id_tendero` int(11) UNSIGNED NOT NULL,
`b_visible` int(11) UNSIGNED NOT NULL DEFAULT '1'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `auth_assignment`
--
ALTER TABLE `auth_assignment`
ADD PRIMARY KEY (`item_name`,`user_id`),
ADD KEY `auth_assignment_user_id_idx` (`user_id`);
--
-- Indices de la tabla `auth_item`
--
ALTER TABLE `auth_item`
ADD PRIMARY KEY (`name`),
ADD KEY `rule_name` (`rule_name`),
ADD KEY `type` (`type`);
--
-- Indices de la tabla `auth_item_child`
--
ALTER TABLE `auth_item_child`
ADD PRIMARY KEY (`parent`,`child`),
ADD KEY `child` (`child`);
--
-- Indices de la tabla `auth_rule`
--
ALTER TABLE `auth_rule`
ADD PRIMARY KEY (`name`);
--
-- Indices de la tabla `cat_historial_compras`
--
ALTER TABLE `cat_historial_compras`
ADD PRIMARY KEY (`id_compra`),
ADD UNIQUE KEY `txt_clave_tienda` (`txt_clave_tienda`),
ADD KEY `FK_cat_historial_compras_cat_tenderos` (`id_tendero`);
--
-- Indices de la tabla `cat_premios`
--
ALTER TABLE `cat_premios`
ADD PRIMARY KEY (`id_premio`);
--
-- Indices de la tabla `cat_tenderos`
--
ALTER TABLE `cat_tenderos`
ADD PRIMARY KEY (`id_tendero`),
ADD UNIQUE KEY `txt_clave_tienda` (`txt_clave_tienda`);
--
-- Indices de la tabla `cat_tiendas_registradas`
--
ALTER TABLE `cat_tiendas_registradas`
ADD PRIMARY KEY (`id_tienda`),
ADD UNIQUE KEY `txt_clave_tienda` (`txt_clave_tienda`);
--
-- Indices de la tabla `mod_usuarios_cat_status_sesiones`
--
ALTER TABLE `mod_usuarios_cat_status_sesiones`
ADD PRIMARY KEY (`id_status`);
--
-- Indices de la tabla `mod_usuarios_cat_status_usuarios`
--
ALTER TABLE `mod_usuarios_cat_status_usuarios`
ADD PRIMARY KEY (`id_status`);
--
-- Indices de la tabla `mod_usuarios_cat_tipos_usuarios`
--
ALTER TABLE `mod_usuarios_cat_tipos_usuarios`
ADD PRIMARY KEY (`id_tipo_usuario`);
--
-- Indices de la tabla `mod_usuarios_ent_sesiones`
--
ALTER TABLE `mod_usuarios_ent_sesiones`
ADD PRIMARY KEY (`id_sesion`),
ADD KEY `FK_ent_sesiones_cat_status_sesiones` (`id_status`),
ADD KEY `FK_ent_sesiones_ent_usuarios` (`id_usuario`);
--
-- Indices de la tabla `mod_usuarios_ent_usuarios`
--
ALTER TABLE `mod_usuarios_ent_usuarios`
ADD PRIMARY KEY (`id_usuario`),
ADD UNIQUE KEY `txt_token` (`txt_token`),
ADD UNIQUE KEY `password_reset_token` (`txt_password_reset_token`),
ADD KEY `FK_ent_usuarios_cat_status_usuarios` (`id_status`),
ADD KEY `FK_mod_usuarios_ent_usuarios_auth_item` (`txt_auth_item`);
--
-- Indices de la tabla `mod_usuarios_ent_usuarios_activacion`
--
ALTER TABLE `mod_usuarios_ent_usuarios_activacion`
ADD PRIMARY KEY (`id_usuario_activacion`),
ADD UNIQUE KEY `txt_token` (`txt_token`),
ADD KEY `FK_ent_usuarios_activacion_ent_usuarios` (`id_usuario`);
--
-- Indices de la tabla `mod_usuarios_ent_usuarios_cambio_pass`
--
ALTER TABLE `mod_usuarios_ent_usuarios_cambio_pass`
ADD PRIMARY KEY (`id_usuario_cambio_pass`),
ADD KEY `FK_ent_usuarios_cambio_pass_ent_usuarios` (`id_usuario`);
--
-- Indices de la tabla `mod_usuarios_ent_usuarios_facebook`
--
ALTER TABLE `mod_usuarios_ent_usuarios_facebook`
ADD PRIMARY KEY (`id_usuario_facebook`),
ADD UNIQUE KEY `id_usuario` (`id_usuario`),
ADD UNIQUE KEY `id_facebook` (`id_facebook`);
--
-- Indices de la tabla `rel_premio_tendero`
--
ALTER TABLE `rel_premio_tendero`
ADD PRIMARY KEY (`id_premio_tendero`),
ADD UNIQUE KEY `txt_clave_tienda` (`txt_clave_tienda`),
ADD KEY `FK_rel_premio_tendero_cat_premios` (`id_premio`),
ADD KEY `FK_rel_premio_tendero_cat_tenderos` (`id_tendero`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `cat_historial_compras`
--
ALTER TABLE `cat_historial_compras`
MODIFY `id_compra` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT de la tabla `cat_premios`
--
ALTER TABLE `cat_premios`
MODIFY `id_premio` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT de la tabla `cat_tenderos`
--
ALTER TABLE `cat_tenderos`
MODIFY `id_tendero` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_cat_status_sesiones`
--
ALTER TABLE `mod_usuarios_cat_status_sesiones`
MODIFY `id_status` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_cat_status_usuarios`
--
ALTER TABLE `mod_usuarios_cat_status_usuarios`
MODIFY `id_status` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_cat_tipos_usuarios`
--
ALTER TABLE `mod_usuarios_cat_tipos_usuarios`
MODIFY `id_tipo_usuario` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_ent_sesiones`
--
ALTER TABLE `mod_usuarios_ent_sesiones`
MODIFY `id_sesion` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_ent_usuarios`
--
ALTER TABLE `mod_usuarios_ent_usuarios`
MODIFY `id_usuario` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_ent_usuarios_activacion`
--
ALTER TABLE `mod_usuarios_ent_usuarios_activacion`
MODIFY `id_usuario_activacion` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_ent_usuarios_cambio_pass`
--
ALTER TABLE `mod_usuarios_ent_usuarios_cambio_pass`
MODIFY `id_usuario_cambio_pass` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT de la tabla `mod_usuarios_ent_usuarios_facebook`
--
ALTER TABLE `mod_usuarios_ent_usuarios_facebook`
MODIFY `id_usuario_facebook` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `rel_premio_tendero`
--
ALTER TABLE `rel_premio_tendero`
MODIFY `id_premio_tendero` int(11) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- Restricciones para tablas volcadas
--
--
-- Filtros para la tabla `auth_assignment`
--
ALTER TABLE `auth_assignment`
ADD CONSTRAINT `FK_auth_assignment_mod_usuarios_ent_usuarios` FOREIGN KEY (`user_id`) REFERENCES `mod_usuarios_ent_usuarios` (`id_usuario`),
ADD CONSTRAINT `auth_assignment_ibfk_1` FOREIGN KEY (`item_name`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Filtros para la tabla `auth_item`
--
ALTER TABLE `auth_item`
ADD CONSTRAINT `auth_item_ibfk_1` FOREIGN KEY (`rule_name`) REFERENCES `auth_rule` (`name`) ON DELETE SET NULL ON UPDATE CASCADE;
--
-- Filtros para la tabla `auth_item_child`
--
ALTER TABLE `auth_item_child`
ADD CONSTRAINT `auth_item_child_ibfk_1` FOREIGN KEY (`parent`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `auth_item_child_ibfk_2` FOREIGN KEY (`child`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Filtros para la tabla `cat_historial_compras`
--
ALTER TABLE `cat_historial_compras`
ADD CONSTRAINT `FK_cat_historial_compras_cat_tenderos` FOREIGN KEY (`id_tendero`) REFERENCES `cat_tenderos` (`id_tendero`),
ADD CONSTRAINT `FK_cat_historial_compras_cat_tiendas_registradas` FOREIGN KEY (`txt_clave_tienda`) REFERENCES `cat_tiendas_registradas` (`txt_clave_tienda`);
--
-- Filtros para la tabla `cat_tenderos`
--
ALTER TABLE `cat_tenderos`
ADD CONSTRAINT `FK_cat_tenderos_cat_tiendas_registradas` FOREIGN KEY (`txt_clave_tienda`) REFERENCES `cat_tiendas_registradas` (`txt_clave_tienda`);
--
-- Filtros para la tabla `mod_usuarios_ent_sesiones`
--
ALTER TABLE `mod_usuarios_ent_sesiones`
ADD CONSTRAINT `FK_ent_sesiones_cat_status_sesiones` FOREIGN KEY (`id_status`) REFERENCES `mod_usuarios_cat_status_sesiones` (`id_status`),
ADD CONSTRAINT `FK_ent_sesiones_ent_usuarios` FOREIGN KEY (`id_usuario`) REFERENCES `mod_usuarios_ent_usuarios` (`id_usuario`) ON DELETE CASCADE;
--
-- Filtros para la tabla `mod_usuarios_ent_usuarios`
--
ALTER TABLE `mod_usuarios_ent_usuarios`
ADD CONSTRAINT `FK_ent_usuarios_cat_status_usuarios` FOREIGN KEY (`id_status`) REFERENCES `mod_usuarios_cat_status_usuarios` (`id_status`) ON DELETE CASCADE,
ADD CONSTRAINT `FK_mod_usuarios_ent_usuarios_auth_item` FOREIGN KEY (`txt_auth_item`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Filtros para la tabla `rel_premio_tendero`
--
ALTER TABLE `rel_premio_tendero`
ADD CONSTRAINT `FK_rel_premio_tendero_cat_premios` FOREIGN KEY (`id_premio`) REFERENCES `cat_premios` (`id_premio`),
ADD CONSTRAINT `FK_rel_premio_tendero_cat_tenderos` FOREIGN KEY (`id_tendero`) REFERENCES `cat_tenderos` (`id_tendero`),
ADD CONSTRAINT `FK_rel_premio_tendero_cat_tiendas_registradas` FOREIGN KEY (`txt_clave_tienda`) REFERENCES `cat_tiendas_registradas` (`txt_clave_tienda`);
/*!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 */;
| true |
70db0a53872b5b6e0ac793d7d7169fd6fca05634 | SQL | layeh/CWSF-Statistics | /sql/03-regions.sql | UTF-8 | 8,192 | 2.59375 | 3 | [] | no_license | BEGIN TRANSACTION;
INSERT INTO regions(id, name) VALUES(1, "Other");
INSERT INTO regions(id, name) VALUES(2, "Annapolis Valley");
INSERT INTO regions(id, name) VALUES(3, "Central Newfoundland");
INSERT INTO regions(id, name) VALUES(4, "Chignecto Central West");
INSERT INTO regions(id, name) VALUES(5, "Chignecto East");
INSERT INTO regions(id, name) VALUES(6, "Eastern Newfoundland");
INSERT INTO regions(id, name) VALUES(8, "New Brunswick");
INSERT INTO regions(id, name) VALUES(9, "Prince Edward Island");
INSERT INTO regions(id, name) VALUES(10, "South Shore");
INSERT INTO regions(id, name) VALUES(11, "Strait");
INSERT INTO regions(id, name) VALUES(12, "Tri-County");
INSERT INTO regions(id, name) VALUES(13, "Western Newfoundland");
INSERT INTO regions(id, name) VALUES(15, "Beaufort-Delta");
INSERT INTO regions(id, name) VALUES(16, "Carlton Trail");
INSERT INTO regions(id, name) VALUES(17, "Fransaskoise");
INSERT INTO regions(id, name) VALUES(19, "Kivalliq");
INSERT INTO regions(id, name) VALUES(20, "Leader");
INSERT INTO regions(id, name) VALUES(21, "Manitoba Schools Science Symposium");
INSERT INTO regions(id, name) VALUES(22, "Northern Manitoba");
INSERT INTO regions(id, name) VALUES(23, "Northern Saskatchewan");
INSERT INTO regions(id, name) VALUES(24, "Northwest Saskatchewan");
INSERT INTO regions(id, name) VALUES(25, "Parkland");
INSERT INTO regions(id, name) VALUES(26, "Prince Albert & Northeast Saskatchewan");
INSERT INTO regions(id, name) VALUES(27, "Qu'Appelle Valley");
INSERT INTO regions(id, name) VALUES(28, "Regina");
INSERT INTO regions(id, name) VALUES(29, "River East Transcona");
INSERT INTO regions(id, name) VALUES(30, "Sahtu");
INSERT INTO regions(id, name) VALUES(31, "Saskatoon");
INSERT INTO regions(id, name) VALUES(32, "Southeast Saskatchewan");
INSERT INTO regions(id, name) VALUES(33, "St. James-Assiniboia");
INSERT INTO regions(id, name) VALUES(34, "Saskatchewan Chinook");
INSERT INTO regions(id, name) VALUES(35, "Western Manitoba");
INSERT INTO regions(id, name) VALUES(36, "Winnipeg Schools");
INSERT INTO regions(id, name) VALUES(38, "Algoma Rotary");
INSERT INTO regions(id, name) VALUES(39, "East Parry Sound");
INSERT INTO regions(id, name) VALUES(40, "Frontenac, Lennox & Addington");
INSERT INTO regions(id, name) VALUES(41, "North Bay");
INSERT INTO regions(id, name) VALUES(42, "North Channel");
INSERT INTO regions(id, name) VALUES(43, "Northwestern Ontario");
INSERT INTO regions(id, name) VALUES(44, "Ottawa");
INSERT INTO regions(id, name) VALUES(45, "Peterborough");
INSERT INTO regions(id, name) VALUES(46, "Quinte");
INSERT INTO regions(id, name) VALUES(47, "Renfrew County");
INSERT INTO regions(id, name) VALUES(48, "Rideau-St. Lawrence");
INSERT INTO regions(id, name) VALUES(49, "Sudbury");
INSERT INTO regions(id, name) VALUES(50, "Sunset Country");
INSERT INTO regions(id, name) VALUES(51, "Timmins");
INSERT INTO regions(id, name) VALUES(52, "United Counties");
INSERT INTO regions(id, name) VALUES(53, "Avon Maitland-Huron Perth");
INSERT INTO regions(id, name) VALUES(54, "Bay Area");
INSERT INTO regions(id, name) VALUES(55, "Bluewater");
INSERT INTO regions(id, name) VALUES(56, "Chatham-Kent");
INSERT INTO regions(id, name) VALUES(58, "Lambton County");
INSERT INTO regions(id, name) VALUES(59, "London District");
INSERT INTO regions(id, name) VALUES(60, "Niagara");
INSERT INTO regions(id, name) VALUES(61, "Peel");
INSERT INTO regions(id, name) VALUES(62, "Simcoe County");
INSERT INTO regions(id, name) VALUES(63, "Toronto");
INSERT INTO regions(id, name) VALUES(64, "Victoria County");
INSERT INTO regions(id, name) VALUES(65, "Waterloo-Wellington");
INSERT INTO regions(id, name) VALUES(66, "Windsor");
INSERT INTO regions(id, name) VALUES(67, "York");
INSERT INTO regions(id, name) VALUES(68, "Abitibi-Témiscamingue");
INSERT INTO regions(id, name) VALUES(69, "Côte-Nord");
INSERT INTO regions(id, name) VALUES(70, "Est du Québec");
INSERT INTO regions(id, name) VALUES(71, "Estrie");
INSERT INTO regions(id, name) VALUES(72, "Mauricie, Centre-du-Québec");
INSERT INTO regions(id, name) VALUES(73, "Montérégie");
INSERT INTO regions(id, name) VALUES(74, "Montreal");
INSERT INTO regions(id, name) VALUES(75, "Montréal CLS");
INSERT INTO regions(id, name) VALUES(76, "Outaouais");
INSERT INTO regions(id, name) VALUES(77, "Québec et Chaudière-Appalaches");
INSERT INTO regions(id, name) VALUES(78, "Rive-Nord");
INSERT INTO regions(id, name) VALUES(79, "Saguenay-Lac Saint-Jean");
INSERT INTO regions(id, name) VALUES(80, "Alberta Central East");
INSERT INTO regions(id, name) VALUES(81, "Calgary Youth");
INSERT INTO regions(id, name) VALUES(82, "Cariboo Mainline");
INSERT INTO regions(id, name) VALUES(83, "Central Alberta");
INSERT INTO regions(id, name) VALUES(84, "Central Interior British Columbia");
INSERT INTO regions(id, name) VALUES(85, "Central Okanagan");
INSERT INTO regions(id, name) VALUES(86, "Chinook Country");
INSERT INTO regions(id, name) VALUES(87, "East Kootenay");
INSERT INTO regions(id, name) VALUES(88, "Edmonton");
INSERT INTO regions(id, name) VALUES(89, "Fraser Valley");
INSERT INTO regions(id, name) VALUES(90, "Greater Vancouver");
INSERT INTO regions(id, name) VALUES(91, "Kiwanis Southeast Alberta");
INSERT INTO regions(id, name) VALUES(93, "North Okanagan/Shuswap");
INSERT INTO regions(id, name) VALUES(94, "Northern British Columbia");
INSERT INTO regions(id, name) VALUES(95, "Northern Vancouver Island");
INSERT INTO regions(id, name) VALUES(96, "Pacific Northwest");
INSERT INTO regions(id, name) VALUES(97, "Peace Country");
INSERT INTO regions(id, name) VALUES(98, "Vancouver Island");
INSERT INTO regions(id, name) VALUES(99, "West Kootenay & Boundary");
INSERT INTO regions(id, name) VALUES(100, "Yukon/Stikine");
INSERT INTO regions(id, name) VALUES(101, "Australia");
INSERT INTO regions(id, name) VALUES(104, "Sweden");
INSERT INTO regions(id, name) VALUES(105, "Taiwan, R.O.C.");
INSERT INTO regions(id, name) VALUES(106, "CDLS - Province du Québec");
INSERT INTO regions(id, name) VALUES(107, "Cape Breton");
INSERT INTO regions(id, name) VALUES(110, "Kitikmeot");
INSERT INTO regions(id, name) VALUES(111, "Manitoba First Nations");
INSERT INTO regions(id, name) VALUES(112, "Qikiqtani");
INSERT INTO regions(id, name) VALUES(113, "Durham");
INSERT INTO regions(id, name) VALUES(114, "Halifax");
INSERT INTO regions(id, name) VALUES(115, "Lethbridge");
INSERT INTO regions(id, name) VALUES(116, "Yellowknife");
INSERT INTO regions(id, name) VALUES(117, "Conseil scolaire acadien provincial");
INSERT INTO regions(id, name) VALUES(118, "Mi'kma'q First Nation");
INSERT INTO regions(id, name) VALUES(119, "Aboriginal Québec Autochtone");
INSERT INTO regions(id, name) VALUES(120, "Labrador");
INSERT INTO regions(id, name) VALUES(121, "South Fraser");
INSERT INTO regions(id, name) VALUES(122, "Wood Buffalo");
INSERT INTO regions(id, name) VALUES(123, "Canadian Rockies");
INSERT INTO regions(id, name) VALUES(124, "Fundy");
INSERT INTO regions(id, name) VALUES(125, "River Valley");
INSERT INTO regions(id, name) VALUES(126, "Chaleur");
INSERT INTO regions(id, name) VALUES(127, "Mexico");
INSERT INTO regions(id, name) VALUES(128, "Prairie Valley");
INSERT INTO regions(id, name) VALUES(129, "Districts francophones du Nouveau-Brunswick");
INSERT INTO regions(id, name) VALUES(130, "Chignecto West");
INSERT INTO regions(id, name) VALUES(131, "Saskatchewan First Nations");
INSERT INTO regions(id, name) VALUES(132, "Kawartha");
INSERT INTO regions(id, name) VALUES(133, "Southeast Alberta");
INSERT INTO regions(id, name) VALUES(134, "Thames Valley");
INSERT INTO regions(id, name) VALUES(136, "Frontier Schools");
INSERT INTO regions(id, name) VALUES(137, "4-H Canada");
INSERT INTO regions(id, name) VALUES(138, "South Slave");
INSERT INTO regions(id, name) VALUES(139, "India");
INSERT INTO regions(id, name) VALUES(140, "Turkey");
INSERT INTO regions(id, name) VALUES(141, "St. Maarten");
INSERT INTO regions(id, name) VALUES(142, "Réseau Technoscience");
INSERT INTO regions(id, name) VALUES(143, "Island Lakes");
INSERT INTO regions(id, name) VALUES(144, "Bison");
INSERT INTO regions(id, name) VALUES(145, "Montréal RM");
COMMIT;
| true |
c9a2fb4fccfed4f844da6e02977f543e0fb8a493 | SQL | Savareen/time-management | /src/main/resources/db/migration/V1__create_users.sql | UTF-8 | 238 | 2.609375 | 3 | [] | no_license | create table users (
id BIGINT NOT NULL PRIMARY KEY,
email VARCHAR(50) NOT NULL UNIQUE,
password VARCHAR(250) NOT NULL,
role VARCHAR(50) NOT NULL,
user_type VARCHAR(50) NOT NULL
);
CREATE SEQUENCE user_sequence as BIGINT INCREMENT 1; | true |
9330d2989df94d8c28c9b34edfb4de276bc1ac18 | SQL | ClickHouse/ClickHouse | /tests/queries/0_stateless/01318_map_add_map_subtract.sql | UTF-8 | 3,615 | 3.265625 | 3 | [
"BSL-1.0",
"Apache-2.0"
] | permissive | drop table if exists map_test;
create table map_test engine=TinyLog() as (select ([1, number], [toInt32(2),2]) as map from numbers(1, 10));
-- mapAdd
select mapAdd([1], [1]); -- { serverError 43 }
select mapAdd(([1], [1])); -- { serverError 42 }
select mapAdd(([1], [1]), map) from map_test; -- { serverError 43 }
select mapAdd(([toUInt64(1)], [1]), map) from map_test; -- { serverError 43 }
select mapAdd(([toUInt64(1), 2], [toInt32(1)]), map) from map_test; -- {serverError 42 }
select mapAdd(([toUInt64(1)], [toInt32(1)]), map) from map_test;
select mapAdd(cast(map, 'Tuple(Array(UInt8), Array(UInt8))'), ([1], [1]), ([2],[2]) ) from map_test;
-- cleanup
drop table map_test;
-- check types
select mapAdd(([toUInt8(1), 2], [1, 1]), ([toUInt8(1), 2], [1, 1])) as res, toTypeName(res);
select mapAdd(([toUInt16(1), 2], [toUInt16(1), 1]), ([toUInt16(1), 2], [toUInt16(1), 1])) as res, toTypeName(res);
select mapAdd(([toUInt32(1), 2], [toUInt32(1), 1]), ([toUInt32(1), 2], [toUInt32(1), 1])) as res, toTypeName(res);
select mapAdd(([toUInt64(1), 2], [toUInt64(1), 1]), ([toUInt64(1), 2], [toUInt64(1), 1])) as res, toTypeName(res);
select mapAdd(([toInt8(1), 2], [toInt8(1), 1]), ([toInt8(1), 2], [toInt8(1), 1])) as res, toTypeName(res);
select mapAdd(([toInt16(1), 2], [toInt16(1), 1]), ([toInt16(1), 2], [toInt16(1), 1])) as res, toTypeName(res);
select mapAdd(([toInt32(1), 2], [toInt32(1), 1]), ([toInt32(1), 2], [toInt32(1), 1])) as res, toTypeName(res);
select mapAdd(([toInt64(1), 2], [toInt64(1), 1]), ([toInt64(1), 2], [toInt64(1), 1])) as res, toTypeName(res);
select mapAdd(([1, 2], [toFloat32(1.1), 1]), ([1, 2], [2.2, 1])) as res, toTypeName(res);
select mapAdd(([1, 2], [toFloat64(1.1), 1]), ([1, 2], [2.2, 1])) as res, toTypeName(res);
select mapAdd(([toFloat32(1), 2], [toFloat64(1.1), 1]), ([toFloat32(1), 2], [2.2, 1])) as res, toTypeName(res); -- { serverError 43 }
select mapAdd(([1, 2], [toFloat64(1.1), 1]), ([1, 2], [1, 1])) as res, toTypeName(res); -- { serverError 43 }
select mapAdd((['a', 'b'], [1, 1]), ([key], [1])) from values('key String', ('b'), ('c'), ('d'));
select mapAdd((cast(['a', 'b'], 'Array(FixedString(1))'), [1, 1]), ([key], [1])) as res, toTypeName(res) from values('key FixedString(1)', ('b'), ('c'), ('d'));
select mapAdd((cast(['a', 'b'], 'Array(LowCardinality(String))'), [1, 1]), ([key], [1])) from values('key String', ('b'), ('c'), ('d'));
select mapAdd((key, val), (key, val)) as res, toTypeName(res) from values ('key Array(Enum16(\'a\'=1, \'b\'=2)), val Array(Int16)', (['a'], [1]), (['b'], [1]));
select mapAdd((key, val), (key, val)) as res, toTypeName(res) from values ('key Array(Enum8(\'a\'=1, \'b\'=2)), val Array(Int16)', (['a'], [1]), (['b'], [1]));
select mapAdd((key, val), (key, val)) as res, toTypeName(res) from values ('key Array(UUID), val Array(Int32)', (['00000000-89ab-cdef-0123-456789abcdef'], [1]), (['11111111-89ab-cdef-0123-456789abcdef'], [2]));
-- mapSubtract, same rules as mapAdd
select mapSubtract(([toUInt8(1), 2], [1, 1]), ([toUInt8(1), 2], [1, 1])) as res, toTypeName(res);
select mapSubtract(([toUInt8(1), 2], [1, 1]), ([toUInt8(1), 2], [2, 2])) as res, toTypeName(res); -- overflow
select mapSubtract(([toUInt8(1), 2], [toInt32(1), 1]), ([toUInt8(1), 2], [toInt16(2), 2])) as res, toTypeName(res);
select mapSubtract(([1, 2], [toFloat32(1.1), 1]), ([1, 2], [2.2, 1])) as res, toTypeName(res);
select mapSubtract(([toUInt8(1), 2], [toInt32(1), 1]), ([toUInt8(1), 2], [toInt16(2), 2])) as res, toTypeName(res);
select mapSubtract(([toUInt8(3)], [toInt32(1)]), ([toUInt8(1), 2], [toInt32(2), 2])) as res, toTypeName(res);
| true |
599874ce00bf6000cba5bfb0684be715c8e5fab0 | SQL | erda-project/erda | /pkg/database/sqlparser/testdata/320-1.sql | UTF-8 | 1,778 | 3.515625 | 4 | [
"Apache-2.0"
] | permissive | -- 3.20 模型变更
-- SLA 相关模型
-- SLA 表
CREATE TABLE IF NOT EXISTS dice_api_slas
(
id BIGINT UNSIGNED AUTO_INCREMENT PRIMARY KEY COMMENT 'primary key',
created_at DATETIME COMMENT 'create time',
updated_at DATETIME COMMENT 'update time',
creator_id VARCHAR(191) COMMENT 'creator id',
updater_id VARCHAR(191) COMMENT 'creator id',
name VARCHAR(191) COMMENT 'SLA name',
`desc` VARCHAR(1024) COMMENT 'description',
approval VARCHAR(16) COMMENT 'auto, manual',
access_id bigint COMMENT 'access id'
);
-- SLA Limit 表
CREATE TABLE IF NOT EXISTS dice_api_sla_limits
(
id BIGINT UNSIGNED AUTO_INCREMENT PRIMARY KEY COMMENT 'primary key',
created_at DATETIME COMMENT 'create time',
updated_at DATETIME COMMENT 'update time',
creator_id VARCHAR(191) COMMENT 'creator id',
updater_id VARCHAR(191) COMMENT 'creator id',
sla_id BIGINT COMMENT 'SLA model id',
`limit` BIGINT COMMENT 'request limit',
unit VARCHAR(16) COMMENT 's: second, m: minute, h: hour, d: day'
);
-- 其他表修改
ALTER TABLE dice_api_access
ADD default_sla_id BIGINT COMMENT 'default SLA id';
ALTER TABLE dice_api_contracts
ADD cur_sla_id BIGINT COMMENT 'contract current SLA id',
ADD request_sla_id BIGINT COMMENT 'contract request SLA',
ADD sla_committed_at DATETIME COMMENT 'current SLA committed time';
ALTER TABLE dice_api_asset_versions
ADD deprecated BOOL DEFAULT FALSE COMMENT 'is the asset version deprecated';
ALTER TABLE dice_api_clients
ADD display_name VARCHAR(191) COMMENT 'client display name';
UPDATE dice_api_clients
SET display_name = name;
UPDATE dice_api_access
SET authentication = 'key-auth'
WHERE authentication = 'api-key'; | true |
dee37552040c151c3c78eb8967e7c780d5527307 | SQL | yingchauhuang/rsit | /db/Merge_Event.sql | UTF-8 | 2,272 | 3.609375 | 4 | [] | no_license | Update XQ.TW003 Set Market='T1',STK_CD=trim(SYMBOL);
Update XQ.TW003
set Market=(select Market from XQ.TW001 WHERE XQ.TW003.STK_CD=XQ.TW001.STK_CD )
where XQ.TW003.STK_CD in (select STK_CD from XQ.TW001 where STK_CD is not null);
whenever sqlerror exit 100
MERGE INTO SYSTEX.FSK984 D
USING (SELECT STK_CD,to_CHAR(tDate,'YYYYMMDD') as START_DATE,to_CHAR(tDate,'YYYYMMDD') as END_DATE,'1' as WARN_TYPE,EVENT as WARN_REA from XQ.HK003 where Type='EV000110') S
ON (D.STK_CD = S.STK_CD AND D.START_DATE=S.START_DATE)
WHEN MATCHED THEN UPDATE SET D.UPD_USER='XQ',D.UPD_DATE=to_char(SYSDATE,'YYYYMMDD'),D.UPD_TIME=to_char(SYSDATE,'HHMMSS'),D.WARN_REA=S.WARN_REA
WHEN NOT MATCHED THEN INSERT (D.STK_CD,D.START_DATE,D.END_DATE,D.WARN_TYPE,D.UPD_USER,D.UPD_DATE,D.UPD_TIME,D.WARN_REA) VALUES (S.STK_CD, S.START_DATE,S.END_DATE,S.WARN_TYPE,'XQ',to_char(SYSDATE,'YYYYMMDD'),to_char(SYSDATE,'HHMMSS'),S.WARN_REA);
commit;
whenever sqlerror exit 100
MERGE INTO SYSTEX.FSK984 D
USING (SELECT STK_CD,to_CHAR(tDate,'YYYYMMDD') as START_DATE,to_CHAR(tDate,'YYYYMMDD') as END_DATE,TYPE as WARN_TYPE,EVENT as WARN_REA from XQ.TW003 where TYPE='1') S
ON (D.STK_CD = S.STK_CD AND D.START_DATE=S.START_DATE)
WHEN MATCHED THEN UPDATE SET D.UPD_USER='XQ',D.UPD_DATE=to_char(SYSDATE,'YYYYMMDD'),D.UPD_TIME=to_char(SYSDATE,'HHMMSS'),D.WARN_REA=S.WARN_REA
WHEN NOT MATCHED THEN INSERT (D.STK_CD,D.START_DATE,D.END_DATE,D.WARN_TYPE,D.UPD_USER,D.UPD_DATE,D.UPD_TIME,D.WARN_REA) VALUES (S.STK_CD, S.START_DATE,S.END_DATE,S.WARN_TYPE,'XQ',to_char(SYSDATE,'YYYYMMDD'),to_char(SYSDATE,'HHMMSS'),S.WARN_REA);
commit;
MERGE INTO SYSTEX.FSK984 D
USING (SELECT STK_CD,to_CHAR(tDate,'YYYYMMDD') as START_DATE,to_CHAR(tDate,'YYYYMMDD') as END_DATE,TYPE as WARN_TYPE,EVENT as WARN_REA from XQ.TW003 where TYPE='2') S
ON (D.STK_CD = S.STK_CD AND D.START_DATE=S.START_DATE)
WHEN MATCHED THEN UPDATE SET D.UPD_USER='XQ',D.UPD_DATE=to_char(SYSDATE,'YYYYMMDD'),D.UPD_TIME=to_char(SYSDATE,'HHMMSS'),D.WARN_REA=S.WARN_REA
WHEN NOT MATCHED THEN INSERT (D.STK_CD,D.START_DATE,D.END_DATE,D.WARN_TYPE,D.UPD_USER,D.UPD_DATE,D.UPD_TIME,D.WARN_REA) VALUES (S.STK_CD, S.START_DATE,S.END_DATE,S.WARN_TYPE,'XQ',to_char(SYSDATE,'YYYYMMDD'),to_char(SYSDATE,'HHMMSS'),S.WARN_REA);
commit;
exit;
| true |
c68805be2c38b53ce03bd097a517fabcaba5f9d5 | SQL | JaimieMurdock/lastfm | /sql/migration/03-annotations.sql | UTF-8 | 853 | 3.65625 | 4 | [] | no_license | SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='TRADITIONAL';
DELETE `lastfm_annotations`
FROM `lastfm_annotations`
LEFT OUTER JOIN `lastfm_extended_user_info`
ON `lastfm_extended_user_info`.`user_id` =
`lastfm_annotations`.`user_id`
WHERE `lastfm_extended_user_info`.`user_id` is NULL;
ALTER TABLE `crawler_lastfm`.`lastfm_annotations`
ADD CONSTRAINT `fk_lastfm_annotations_lastfm_extended_user_info1`
FOREIGN KEY (`user_id` )
REFERENCES `crawler_lastfm`.`lastfm_extended_user_info` (`user_id` )
ON DELETE NO ACTION
ON UPDATE NO ACTION
, ADD PRIMARY KEY (`user_id`, `item_url`, `tag_name`) ;
SET SQL_MODE=@OLD_SQL_MODE;
SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS;
SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
| true |
9c40e32652ab0b0fa3996cd48d1da04a485c6680 | SQL | denysantos/projetos_ds | /assets/sql/classificados_mvc_20181019_DDL.sql | UTF-8 | 1,716 | 3.25 | 3 | [] | no_license | /*
* DB Script Tool
* MySQL - 2018-10-19 22:52:24
*
*/
CREATE DATABASE IF NOT EXISTS `classificados_mvc`
DEFAULT CHARACTER SET utf8
DEFAULT COLLATE utf8_general_ci;
USE `classificados_mvc`;
/*
* usuarios
* 2018-10-19 00:15:40
*/
DROP TABLE IF EXISTS `usuarios`;
CREATE TABLE IF NOT EXISTS `usuarios` (
`id` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`nome` VARCHAR(100) COLLATE utf8_general_ci NOT NULL,
`senha` VARCHAR(32) COLLATE utf8_general_ci NOT NULL,
`email` VARCHAR(100) COLLATE utf8_general_ci NOT NULL,
`telefone` VARCHAR(30) COLLATE utf8_general_ci,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_general_ci AUTO_INCREMENT=1 ;
/*
* categoria
* 2018-10-19 00:15:50
*/
DROP TABLE IF EXISTS `categoria`;
CREATE TABLE IF NOT EXISTS `categoria` (
`id` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`nome` VARCHAR(100) COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_general_ci AUTO_INCREMENT=1 ;
/*
* anuncios
* 2018-10-19 00:15:57
*/
DROP TABLE IF EXISTS `anuncios`;
CREATE TABLE IF NOT EXISTS `anuncios` (
`id` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`id_usuario` INTEGER(10),
`id_categoria` INTEGER(10),
`titulo` VARCHAR(100) COLLATE utf8_general_ci,
`descricao` TEXT(10),
`valor` NUMERIC(10,0),
`estado` INTEGER(10),
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_general_ci AUTO_INCREMENT=1 ;
ALTER TABLE `anuncios` ADD CONSTRAINT fk_anuncioUsuario FOREIGN KEY (`id_usuario`) REFERENCES usuarios(`id`);
ALTER TABLE `anuncios` ADD CONSTRAINT fk_anuncioCategoria FOREIGN KEY (`id_categoria`) REFERENCES categoria(`id`); | true |
c299173928b30ec65928bcb94beb42605b3a8000 | SQL | CCI-MOC/reporting | /docker-images/init-db/src/db/hardware_inventory/constraints/service_fk.sql | UTF-8 | 190 | 2.984375 | 3 | [] | no_license |
ALTER TABLE hardware_inventory ADD CONSTRAINT service_hardware_inventory_fk
FOREIGN KEY (service_id)
REFERENCES service (service_id)
ON DELETE NO ACTION
ON UPDATE NO ACTION
NOT DEFERRABLE;
| true |
b5ddd51ce8f25095b9163b167404d993af3ee757 | SQL | anticmarija/webshop | /webshop.sql | UTF-8 | 13,453 | 2.828125 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 4.6.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Oct 30, 2017 at 11:13 AM
-- Server version: 5.7.14
-- PHP Version: 5.6.25
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
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: `webshop`
--
-- --------------------------------------------------------
--
-- Table structure for table `cart_item`
--
CREATE TABLE `cart_item` (
`item_id` int(11) NOT NULL,
`product_id` int(11) NOT NULL,
`user_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `category`
--
CREATE TABLE `category` (
`category_id` int(11) NOT NULL,
`category_name` varchar(30) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `category`
--
INSERT INTO `category` (`category_id`, `category_name`) VALUES
(1, 'LIPS'),
(2, 'EYES'),
(3, 'FACE'),
(4, 'TOOLS');
-- --------------------------------------------------------
--
-- Table structure for table `orders`
--
CREATE TABLE `orders` (
`order_id` int(11) NOT NULL,
`email` varchar(30) NOT NULL,
`address` varchar(50) NOT NULL,
`total` int(11) NOT NULL,
`user_id` int(11) DEFAULT NULL,
`CreatedOn` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `orders`
--
INSERT INTO `orders` (`order_id`, `email`, `address`, `total`, `user_id`, `CreatedOn`) VALUES
(8, 'maja@gmail.com', 'aaa', 50, 0, '2017-09-10 14:47:02'),
(9, 'pera@pera', 'pera', 50, 0, '2017-09-10 14:47:02'),
(10, 'laza@laza', 'aa', 50, 0, '2017-09-10 14:47:02'),
(11, 'laza@laza', 'aaa', 50, 0, '2017-09-10 14:47:02'),
(12, 'mja@la', 'a', 50, 0, '2017-09-10 14:47:02'),
(13, 'laza@laza', 'aaa', 50, 0, '2017-09-10 14:47:02'),
(14, 'majaantic994@gmail.com', 'kill bill', 50, 0, '2017-09-10 14:47:02'),
(15, 'laza@laza', 'zaza', 50, 0, '2017-09-10 14:47:02'),
(16, 'aza@aza', 'aaa', 50, 0, '2017-09-10 14:47:02'),
(17, 'majaantic994@gmail.com', 'aa', 50, 0, '2017-09-10 14:47:02'),
(18, 'maja@bb', 'cc', 110, 1, '2017-09-10 14:47:02'),
(19, 'la@com', 'nnn', 10, NULL, '2017-09-10 14:47:02'),
(20, 'maja@bb', 'Mije Kovacevica', 100, 1, '2017-09-11 11:16:03');
-- --------------------------------------------------------
--
-- Table structure for table `order_item`
--
CREATE TABLE `order_item` (
`order_item_id` int(11) NOT NULL,
`product_id` int(11) NOT NULL,
`order_id` int(11) NOT NULL,
`quantity` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `order_item`
--
INSERT INTO `order_item` (`order_item_id`, `product_id`, `order_id`, `quantity`) VALUES
(5, 1, 8, 3),
(20, 14, 14, 14),
(37, 5, 19, 1),
(38, 5, 8, 2),
(39, 2, 18, 3),
(40, 1, 18, 3),
(42, 9, 20, 2),
(43, 1, 20, 2);
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`product_id` int(11) NOT NULL,
`name` varchar(50) DEFAULT NULL,
`price` double DEFAULT NULL,
`short_desc` varchar(50) DEFAULT NULL,
`long_desc` varchar(150) DEFAULT NULL,
`sale` tinyint(1) NOT NULL DEFAULT '0',
`salePrice` double DEFAULT NULL,
`subcategory_id` int(11) DEFAULT NULL,
`image` varchar(50) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`product_id`, `name`, `price`, `short_desc`, `long_desc`, `sale`, `salePrice`, `subcategory_id`, `image`) VALUES
(1, 'Red Lips', 50, 'Enhance natural lip color beautifully!', 'Beautiful lipstick which is subtle enhancing natural lip color. This lipstick is paraben-free, fragrance free, allergen-free, and gluten free.', 1, 40, 1, 'images/product1.jpg'),
(2, 'Nude lips', 55, 'A neutral, pale beige with a hint of pink!', 'beautiful lipstick which is subtle enhancing natural lip color. This lipstick is paraben-free, fragrance free, allergen-free, and gluten free.', 0, 0, 1, 'images/product2.jpg'),
(3, 'Pink lipgloss', 75, 'High-impact metallic color!', 'Wrap your lips in high-impact metallic color!', 1, 60, 2, 'images/product3.jpg'),
(4, 'Red Lip Pencil', 12, 'Works with warm, rich berry lipsticks.', 'Red Lip Pencil is a rich berry pink color. Incredibly creamy and super smooth, this lip crayon will enhance lipsticks with berry undertones.', 0, 0, 3, 'images/product4.jpg'),
(5, 'Neutral Lip Pencil', 10, 'Suitable for lipsticks with pink undertones.', 'Neutral Lip Pencil is a subtle, salmon pink color. Incredibly creamy and super smooth, this lip crayon will enhance lip color.', 0, 0, 3, 'images/product5.jpg'),
(6, 'Warm Palette', 75, 'Highly pigmented and easy-to-blend formula!', 'Highly pigmented and easy-to-blend formula. The palette comes with a dual-side soft bristle brush for easy application.', 0, 0, 4, 'images/product6.jpg'),
(7, 'Cold Palette', 35, 'An eyeshadow palette with highly pigmented mattes.', 'For maximum payoff, use your finger to apply the creamy metals. Do not apply with an eyeshadow brush.', 0, 0, 4, 'images/product7.jpg'),
(9, 'Super Curling Mascara', 20, 'It\'s a roller for lashes!', 'The eye - opening Hook \'n\' Roll brush grabs, separates, lifts, and curls...while the instant curve - setting formula holds for 12 hours.', 0, 0, 6, 'images/product9.jpg'),
(10, 'Brush Set', 100, 'When it comes to flawless application!', 'Buff, blend, line and define with our Makeup Brush Set. For flawless aplication and perfect look!', 0, 0, 5, 'images/product10.jpg'),
(11, 'Light/Medium Foundation', 45, 'A new 24-Hour, full-coverage foundation!', 'Foundation that instantly blurs pores and fines lines and provides uninterrupted flawless wear that looks and feels just applied, all-day', 0, 0, 7, 'images/product11.jpg'),
(12, 'Dark Foundation', 45, 'A lightweight liquid foundation!', 'A lightweight liquid foundation that achieves a radiant, silky finish. Enjoy your flawless skin!', 0, 0, 7, 'images/product12.jpg'),
(13, 'Translucent Concealer', 35, 'Ideal for all skin types!', 'An award-winning concealer that provides medium-to-full, buildable coverage and corrects, contours, highlights, and perfects.', 0, 0, 8, 'images/product13.jpg'),
(14, 'Neutral Beige Powder', 70, 'A breakthrough multiuse formula', 'A breakthrough multiuse formula that can be applied as a foundation or setting powder.', 0, 0, 9, 'images/product14.jpg'),
(15, 'Golden Beige Powder', 70, 'Silky powder with a touch of sheer coverage.', ' cult-favorite and award-winning, silky powder with a touch of sheer coverage to set makeup for lasting wear.', 0, 0, 9, 'images/product15.jpg');
-- --------------------------------------------------------
--
-- Table structure for table `reviews`
--
CREATE TABLE `reviews` (
`review_id` int(11) NOT NULL,
`stars` int(11) NOT NULL,
`body` varchar(100) NOT NULL,
`author` varchar(100) NOT NULL,
`product_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `reviews`
--
INSERT INTO `reviews` (`review_id`, `stars`, `body`, `author`, `product_id`) VALUES
(1, 5, 'Great product!', 'maja@gmail.com', 1),
(2, 4, 'Nice!', 'jelena@gmail.com', 2),
(3, 3, 'Not so good!', 'pera@pera.co', 1),
(4, 2, 'Baaaaad!!', 'jela@gmail.com', 5),
(6, 1, 'amazing lipstick!!!', 'user@gmail.com', 1),
(7, 3, 'bla bla', 'maja', 1),
(8, 2, 'nice', 'maja@gmail.com', 5),
(9, 3, 'cool', 'user@user', 3),
(11, 5, 'Awesome!', 'maja@gmail.com', 10),
(12, 4, 'Easy to blend with!', 'jelena@gmail.com', 10),
(13, 5, 'Feels really soft on your skin...', 'dragana@gmail.com', 10);
-- --------------------------------------------------------
--
-- Table structure for table `subcategory`
--
CREATE TABLE `subcategory` (
`subcategory_id` int(11) NOT NULL,
`subcategory_name` varchar(30) NOT NULL,
`category_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `subcategory`
--
INSERT INTO `subcategory` (`subcategory_id`, `subcategory_name`, `category_id`) VALUES
(1, 'Lipstick', 1),
(2, 'Lipgloss', 1),
(3, 'Lip pencils', 1),
(4, 'Eye shadows', 2),
(5, 'Brushes', 4),
(6, 'Mascaras', 2),
(7, 'Foundation', 3),
(8, 'Concealer', 3),
(9, 'Powder', 3);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`user_id` int(11) NOT NULL,
`email` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`isAdmin` tinyint(1) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`user_id`, `email`, `password`, `isAdmin`) VALUES
(1, 'maja@gmail.com', 'maja', 0),
(20, 'admin@admin', 'admin', 1),
(22, '', '', 0);
-- --------------------------------------------------------
--
-- Table structure for table `wishlist_item`
--
CREATE TABLE `wishlist_item` (
`product_id` int(11) NOT NULL,
`user_id` int(11) NOT NULL,
`item_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `wishlist_item`
--
INSERT INTO `wishlist_item` (`product_id`, `user_id`, `item_id`) VALUES
(3, 1, 21),
(1, 1, 22),
(2, 1, 23);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `cart_item`
--
ALTER TABLE `cart_item`
ADD PRIMARY KEY (`item_id`),
ADD KEY `product` (`product_id`),
ADD KEY `user_id` (`user_id`);
--
-- Indexes for table `category`
--
ALTER TABLE `category`
ADD PRIMARY KEY (`category_id`);
--
-- Indexes for table `orders`
--
ALTER TABLE `orders`
ADD PRIMARY KEY (`order_id`),
ADD KEY `user_id` (`user_id`);
--
-- Indexes for table `order_item`
--
ALTER TABLE `order_item`
ADD PRIMARY KEY (`order_item_id`),
ADD KEY `product_id` (`product_id`),
ADD KEY `order_id` (`order_id`);
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`product_id`),
ADD KEY `subcategory_id` (`subcategory_id`);
--
-- Indexes for table `reviews`
--
ALTER TABLE `reviews`
ADD PRIMARY KEY (`review_id`),
ADD KEY `product_id` (`product_id`);
--
-- Indexes for table `subcategory`
--
ALTER TABLE `subcategory`
ADD PRIMARY KEY (`subcategory_id`),
ADD KEY `category_id` (`category_id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`user_id`);
--
-- Indexes for table `wishlist_item`
--
ALTER TABLE `wishlist_item`
ADD PRIMARY KEY (`item_id`),
ADD KEY `product_id` (`product_id`),
ADD KEY `user_id` (`user_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `cart_item`
--
ALTER TABLE `cart_item`
MODIFY `item_id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `category`
--
ALTER TABLE `category`
MODIFY `category_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `order_item`
--
ALTER TABLE `order_item`
MODIFY `order_item_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=44;
--
-- AUTO_INCREMENT for table `products`
--
ALTER TABLE `products`
MODIFY `product_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=16;
--
-- AUTO_INCREMENT for table `reviews`
--
ALTER TABLE `reviews`
MODIFY `review_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=14;
--
-- AUTO_INCREMENT for table `subcategory`
--
ALTER TABLE `subcategory`
MODIFY `subcategory_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `user_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=23;
--
-- AUTO_INCREMENT for table `wishlist_item`
--
ALTER TABLE `wishlist_item`
MODIFY `item_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=24;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `cart_item`
--
ALTER TABLE `cart_item`
ADD CONSTRAINT `cart_item_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`),
ADD CONSTRAINT `cart_item_ibfk_2` FOREIGN KEY (`user_id`) REFERENCES `users` (`user_id`);
--
-- Constraints for table `order_item`
--
ALTER TABLE `order_item`
ADD CONSTRAINT `order_item_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON UPDATE CASCADE,
ADD CONSTRAINT `order_item_ibfk_2` FOREIGN KEY (`order_id`) REFERENCES `orders` (`order_id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `products`
--
ALTER TABLE `products`
ADD CONSTRAINT `products_ibfk_1` FOREIGN KEY (`subcategory_id`) REFERENCES `subcategory` (`subcategory_id`) ON UPDATE CASCADE;
--
-- Constraints for table `reviews`
--
ALTER TABLE `reviews`
ADD CONSTRAINT `reviews_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `subcategory`
--
ALTER TABLE `subcategory`
ADD CONSTRAINT `subcategory_ibfk_1` FOREIGN KEY (`category_id`) REFERENCES `category` (`category_id`) ON UPDATE CASCADE;
--
-- Constraints for table `wishlist_item`
--
ALTER TABLE `wishlist_item`
ADD CONSTRAINT `wishlist_item_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `wishlist_item_ibfk_2` FOREIGN KEY (`user_id`) REFERENCES `users` (`user_id`) ON DELETE CASCADE ON UPDATE CASCADE;
/*!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 */;
| true |
00af6bc5251e047b7d39dd35fd8c43c89b9b3570 | SQL | noaoh/RegisterAPIDataDefinition | /Transaction.sql | UTF-8 | 433 | 3.1875 | 3 | [] | no_license | CREATE TABLE transaction (
id uuid NOT NULL DEFAULT gen_random_uuid(),
quantity int NOT NULL DEFAULT(1),
totalcost float(25) NOT NULL DEFAULT(0.00),
createdon timestamp without time zone NOT NULL DEFAULT now(),
product uuid,
employee uuid,
CONSTRAINT transaction_pkey PRIMARY KEY (id, product),
FOREIGN KEY (product) REFERENCES product(id),
FOREIGN KEY (employee) REFERENCES employee(id)
) WITH (
OIDS=FALSE
);
| true |
b534887b7b781f7c2f9f0550de39f72de53c2f0b | SQL | hongzihan/newtest | /sql.sql | UTF-8 | 9,945 | 3.421875 | 3 | [] | no_license | -- ----------------------------
-- Table structure for tb_user
-- ----------------------------
DROP TABLE IF EXISTS `tb_item`;
CREATE TABLE `tb_item` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`keyname` varchar(255) DEFAULT NULL,
`username` varchar(255) DEFAULT NULL,
`count` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1000 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of tb_user
-- ----------------------------
INSERT INTO `tb_item` VALUES ('1', '金箍棒', '小小白', '1');
INSERT INTO `tb_item` VALUES ('2', '无敌金箍棒', '大大白', '2');
-- ----------------------------
-- Table structure for tb_user
-- ----------------------------
DROP TABLE IF EXISTS `count_item`;
CREATE TABLE `count_item` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`keyname` varchar(255) DEFAULT NULL,
`count` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of tb_user
-- ----------------------------
INSERT INTO `count_item` VALUES (0, '羊哒迪奥', '1');
INSERT INTO `count_item` VALUES (0, '无敌羊哒迪奥', '2');
DROP TABLE IF EXISTS `drop_item`;
CREATE TABLE `drop_item` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`keyname` varchar(255) NOT NULL,
`itemname` varchar(255) NOT NULL,
`count` int(11) NOT NULL,
`zoneid` varchar(63) not null,
`dateTime` varchar(63) not null,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
INSERT INTO `drop_item` VALUES (0, '羊哒迪奥', "杨大吊", '1');
DROP TABLE IF EXISTS `crud_st_item`;
CREATE TABLE `crud_st_item` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`zoneid` varchar(255) DEFAULT NULL,
`playername` varchar(255) DEFAULT NULL,
`keyname` varchar(255) DEFAULT NULL,
`count` int(11) DEFAULT NULL,
`type` int(1) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
INSERT INTO `crud_st_item` VALUES (0, '530868', "小小白", '积分券10', 1, 1);
DROP TABLE IF EXISTS `web_action`;
CREATE TABLE `web_action` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`zoneid` varchar(255) NOT NULL,
`actiontype` int(11) NOT NULL,
`actiondata` varchar(5095) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
-- 神途角色表
DROP TABLE IF EXISTS `st_role`;
CREATE TABLE `st_role` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`zone_id` varchar(255) NOT NULL,
`zone_name` varchar(255) NOT NULL,
`account` varchar(255) NOT NULL,
`role_name` varchar(255) NOT NULL,
`role_id` varchar(255) NOT NULL,
`role_level` varchar(255) NOT NULL,
`job` varchar(255) NOT NULL,
`gender` varchar(255) NOT NULL,
`charge_yb` varchar(255) NOT NULL,
`cur_yb` varchar(255) NOT NULL,
`cur_gold` varchar(255) NOT NULL,
`last_record_date` datetime(0) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `charge`;
CREATE TABLE `charge` (
`id` bigint(25) NOT NULL AUTO_INCREMENT,
`username` varchar(63) NOT NULL,
`accountName` varchar(63) NOT NULL,
`zoneName` varchar(63) NOT NULL,
`chargeNum` int(15) NOT NULL,
`dateTime` varchar(63) NOT NULL,
`chargeCount` int(15) DEFAULT NULL,
PRIMARY KEY (`id`),
unique key AK_nq_username (username)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
INSERT INTO `user` VALUES (0, 'root', "123456", '1601790617@qq.com', 199807);
-- 权限五表
DROP TABLE IF EXISTS `user`;
create table user(
`id` bigint(25) NOT NULL PRIMARY KEY AUTO_INCREMENT,
`username` VARCHAR(20) NOT NULL ,
`password` VARCHAR(127) NOT NULL ,
`nickname` VARCHAR(20) NOT NULL,
`corepwd` int(11) NOT NULL,
unique key AK_nq_username (username)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
-- alter table `user` change password password varchar(127) not null;
DROP TABLE IF EXISTS `role`;
create table role(
id bigint(25) NOT NULL PRIMARY KEY AUTO_INCREMENT,
rolename VARCHAR(127) NOT NULL,
roledesc VARCHAR(127),
unique key AK_nq_rolename (rolename)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
-- alter table `role` change rolename rolename varchar(127) not null;
-- alter table `role` change roledesc roledesc varchar(127) not null;
DROP TABLE IF EXISTS `permission`;
create table permission(
id bigint(25) NOT NULL PRIMARY KEY AUTO_INCREMENT,
modelname VARCHAR(255) NOT NULL ,
permission VARCHAR(127) NOT NULL,
unique key AK_nq_modelname (modelname)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `user_role`;
create table user_role(
uid bigint(25) NOT NULL ,
rid bigint(25) NOT NULL ,
PRIMARY KEY (`uid`, `rid`),
CONSTRAINT `fk-uid-ur` FOREIGN KEY (`uid`) REFERENCES `user` (`id`),
CONSTRAINT `fk-rid-ur` FOREIGN KEY (`rid`) REFERENCES `role` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `role_permission`;
create table role_permission(
rid bigint(25) NOT NULL,
pid bigint(25) NOT NULL,
PRIMARY KEY (`rid`, `pid`),
CONSTRAINT `fk-rid-rp` FOREIGN KEY (`rid`) REFERENCES `role` (`id`),
CONSTRAINT `fk-pid-rp` FOREIGN KEY (`pid`) REFERENCES `permission` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `chat_record`;
create table chat_record(
id bigint(25) NOT NULL PRIMARY KEY AUTO_INCREMENT,
zone_name VARCHAR(63) NOT NULL,
date_time datetime(63) NOT NULL,
content VARCHAR(63) NOT NULL,
username VARCHAR(63) NOT NULL,
channel_name VARCHAR(63) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `config`;
create table config(
id bigint(25) NOT NULL PRIMARY KEY AUTO_INCREMENT,
config_name VARCHAR(63) NOT NULL,
config_value VARCHAR(4095) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `poe_item_price`;
create table poe_item_price(
id bigint(25) NOT NULL PRIMARY KEY AUTO_INCREMENT,
item_name VARCHAR(255) NOT NULL,
item_type VARCHAR(255),
item_cur_price VARCHAR(255),
item_desc VARCHAR(255),
item_record_time VARCHAR(255),
item_filters VARCHAR(5095)
) ENGINE=InnoDB AUTO_INCREMENT 1 DEFAULT CHARSET=utf8;
-- alter table permission change modelname modelname varchar(200) not null;
-- alter table permission change permission permission varchar(100) not null;
INSERT INTO `user` VALUES (2, 'root', "123456", '张三', 199807);
INSERT INTO `role` VALUES (2, 'super manager', 'max permission');
INSERT INTO `permission` VALUES (2, '/index', '首页');
INSERT INTO `user_role` VALUES (2, 2, 2);
INSERT INTO `role_permission` VALUES (2, 2, 2);
INSERT INTO `permission` VALUES (3, '/saveActionData_item', '保存物品操作');
INSERT INTO `role_permission` VALUES (3, 2, 3);
INSERT INTO `permission` VALUES (4, '/saveActionData_item', 'index');
INSERT INTO `role_permission` VALUES (4, 2, 4);
INSERT INTO `permission` VALUES (5, '/saveActionData_item', 'form-common');
INSERT INTO `role_permission` VALUES (5, 2, 5);
INSERT INTO `permission` VALUES (0, '/webAction/saveActionData_item', 'saveActionData_item');
INSERT INTO `permission` VALUES (0, '/webAction/saveActionData_mail', 'saveActionData_mail');
INSERT INTO `permission` VALUES (0, '/webAction/saveActionData_var', 'saveActionData_var');
INSERT INTO `role_permission` values (1, 2);
INSERT INTO `role_permission` values (1, 3);
INSERT INTO `role_permission` values (1, 4);
INSERT INTO `role_permission` values (1, 5);
INSERT INTO `role_permission` values (1, 6);
INSERT INTO `role_permission` values (1, 7);
INSERT INTO `role_permission` values (2, 1);
INSERT INTO `role_permission` values (2, 2);
select p1.*,p2.*,p3.* from user p1, role p2, permission p3;
select p1.*,p2.*,p3.* from user p1
INNER JOIN user_role ur on p1.id = ur.uid
INNER JOIN role p2 on p2.id = ur.rid
INNER JOIN role_permission rp on p2.id = rp.rid
INNER JOIN permission p3 on p3.id = rp.pid
where p1.username = 'root';
delete p1,p2,p3 from user p1
INNER JOIN user_role ur on p1.id = ur.uid
INNER JOIN role p2 on p2.id = ur.rid
INNER JOIN role_permission rp on p2.id = rp.rid
INNER JOIN permission p3 on p3.id = rp.pid
where p1.username = 'root';
-- INSERT INTO p1,p2,p3,ur,rp from user p1
-- INNER JOIN user_role ur on p1.id = ur.uid
-- INNER JOIN role p2 on p2.id = ur.rid
-- INNER JOIN role_permission rp on p2.id = rp.rid
-- INNER JOIN permission p3 on p3.id = rp.pid
-- VALUES (2, 'root', "123456", '张三', 199807,
-- 2, 'super manager', 'max permission',
-- 2, '/index', '首页',
-- 2, 2, 2,
-- 2, 2, 2)
-- 为monster_die表添加自动删除2天前的数据
-- 创建存储过程
DELIMITER //
CREATE PROCEDURE autodel()
BEGIN
delete From monster_die where DATE(dietime) <= DATE(DATE_SUB(NOW(),INTERVAL 2 day));
delete From drop_item where DATE(dateTime) <= DATE(DATE_SUB(NOW(),INTERVAL 10 day));
delete From drop_item where DATE(dateTime) <= DATE(DATE_SUB(NOW(),INTERVAL 5 day)) AND count > 1;
delete From chat_record where DATE(date_time) <= DATE(DATE_SUB(NOW(),INTERVAL 2 day));
END
//
DELIMITER ;
-- 创建事件
CREATE EVENT `event_auto_del_memorydata`
ON SCHEDULE EVERY 1 DAY STARTS '2020-09-03 16:00:00'
ON COMPLETION NOT PRESERVE ENABLE DO CALL autodel();
--开启事件计划（调度器）4种方法。键值1或者ON表示开启；0或者OFF表示关闭：
SET GLOBAL event_scheduler = 1;
SET @@global.event_scheduler = 1;
SET GLOBAL event_scheduler = ON;
SET @@global.event_scheduler = ON;
--查看当前是否已开启事件计划（调度器）3种方法：
SHOW VARIABLES LIKE 'event_scheduler';
SELECT @@event_scheduler;
SHOW PROCESSLIST;
--事件开启与关闭：
ALTER EVENT event_auto_del_memorydata ON COMPLETION PRESERVE ENABLE; --开启某事件
ALTER EVENT event_auto_del_memorydata ON COMPLETION PRESERVE DISABLE; --关闭某事件
--删除存储过程：
DROP PROCEDURE pro_clear_data;
DROP PROCEDURE autodel;
--删除Event:
DROP EVENT IF EXISTS event_time_clear_data1
DROP EVENT IF EXISTS event_auto_del_memorydata | true |
88c7315c82f6163517e022ff53a8015818e8e72d | SQL | Migu3lR/Web-Anapoima-Natura | /booking/app/config/updates/update_2015_03_30_00_00_00.sql | UTF-8 | 414 | 2.828125 | 3 | [] | no_license |
START TRANSACTION;
ALTER TABLE `bookings` CHANGE `status` `status` ENUM( 'confirmed', 'cancelled', 'pending', 'not_confirmed' ) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT 'pending';
ALTER TABLE `bookings` DROP `currency` ;
ALTER TABLE `bookings_rooms` ADD `price` DECIMAL( 9, 2 ) UNSIGNED NULL ;
ALTER TABLE `bookings_rooms_temp` ADD `price` DECIMAL( 9, 2 ) UNSIGNED NULL ;
COMMIT; | true |
5f06c5e8e1c51c82f476176832cfba29db73106b | SQL | seosooseong/oraclesource | /system1104.sql | UHC | 1,268 | 3.671875 | 4 | [] | no_license | -- scott (scott) ȣ(tiger) ϱ
alter user scott identified by tiger account unlock;
-- hr (hr) ȣ(12345) ϱ
alter user hr identified by 12345 account unlock;
--ο (ο Ű ) TEST / 12345
CREATE USER TEST IDENTIFIED BY 12345;
--1. "Ѻο!" ( ο)
grant create session to test;
--2. ۾ ִ ο
GRANT CONNECT, RESOURCE TO TEST;
-------------------------------------------------------------------------------
--TEST2 (ƹ )
CREATE USER TEST2 IDENTIFIED BY 12345;
--Ѻο
GRANT CREATE SESSION TO TEST2;
GRANT CONNECT, RESOURCE TO TEST2;
GRANT CREATE table TO TEST2;
--
REVOKE CREATE table from TEST2;
--йȣ
ALTER USER TEST2 IDENTIFIED BY 00000;
-- (ڰ ü ƹ͵ )
DROP USER TEST2;
--ڿ ü (̺, ε, ..)
DROP USER TEST2 cascade;
--201110
--
CREATE USER JAVADB IDENTIFIED BY 12345;
GRANT CONNECT, RESOURCE TO JAVADB;
| true |
7de82c02274ce1d42b2bdba4d5014e3f894fe41f | SQL | surprise777/DBMS2019 | /p1/q4.sql | UTF-8 | 1,370 | 3.875 | 4 | [] | no_license | SET search_path TO parlgov;
/* Get cabinet_sequence */
CREATE TABLE cabinet_sequence AS
SELECT country_id, id, start_date, end_date FROM
(SELECT START_PART.country_id, START_PART.id, START_PART.start_date, END_PART.start_date AS end_date FROM
(SELECT country_id, id, start_date, previous_cabinet_id FROM cabinet) AS END_PART FULL OUTER JOIN
(SELECT country_id, id, start_date FROM cabinet) AS START_PART
ON END_PART.previous_cabinet_id = START_PART.id and START_PART.country_id = END_PART.country_id) AS foo
WHERE foo.id IS NOT NULL;
/* Find the pm party of each cabinet */
CREATE TABLE pm_party AS
SELECT cabinet_sequence.country_id, cabinet_sequence.id AS cabinet_id, start_date, end_date, party_id FROM
cabinet_sequence LEFT JOIN
(SELECT cabinet_id, party_id FROM cabinet_party
WHERE pm = 't') AS pm_party
ON cabinet_sequence.id = pm_party.cabinet_id;
/* Add country name and party name infomation */
CREATE TABLE q4 AS
SELECT country_info.name AS countryName, country_info.cabinet_id AS cabinetId, country_info.start_date AS startDate,
country_info.end_date AS endDate, party.name AS pmParty FROM
(SELECT pm_party.*, country.name
FROM pm_party, country
WHERE pm_party.country_id = country.id) AS country_info LEFT JOIN party
ON country_info.party_id = party.id;
/* Clean the environment and drop all unnecessary tables */
DROP TABLE cabinet_sequence, pm_party;
| true |
4dd6eb26adfcef5d79694d7f09aebf744b4bf7de | SQL | 18089396a47/Server | /src/main/db/chat.sql | UTF-8 | 3,128 | 3.125 | 3 | [] | no_license | -- MySQL dump 10.13 Distrib 5.6.24, for Win64 (x86_64)
--
-- Host: localhost Database: chat
-- ------------------------------------------------------
-- Server version 5.6.24-log
/*!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' */;
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`text` varchar(255) DEFAULT NULL,
`date` date DEFAULT NULL,
`user_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `user_id` (`user_id`),
CONSTRAINT `messages_ibfk_1` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8;
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PRIMARY KEY (`id`)
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| true |
85e6289a5625fec0fd64d79f0cd7be98ffd07321 | SQL | Marto86/MSSQL-EntityFramework | /MSSQL/HACKERRANK/Binary Tree Nodes.sql | UTF-8 | 246 | 4.125 | 4 | [] | no_license | SELECT CAST(N AS NVARCHAR(10)) + ' ' +
CASE
WHEN P IS NULL THEN 'Root'
WHEN N IN (SELECT DISTINCT P
FROM BST) THEN 'Inner'
ELSE 'Leaf'
END
FROM BST AS b
ORDER BY N | true |
21fc52f7f7419de684c28f5017b984a3508f3412 | SQL | nhabbash/search-form-devops | /db/script/init.sql | UTF-8 | 6,504 | 3.5 | 4 | [] | no_license | CREATE TABLE IF NOT EXISTS articles (
id int,
title text NOT NULL,
author text NULL,
description text NULL,
PRIMARY KEY(id)
);
INSERT INTO articles VALUES
(1, 'Example', 'Federico Bottoni', 'Example of a scientific article.'),
(2, 'Testing ', 'Nassim Habbash', 'Another example of a scientific article.'),
(3, 'Example42', 'Federico Bottoni', 'I want to buy a onesie… but know it won’t suit me.
I would rather be a bird than a fish.
She did her best to help him.
If I don’t like something, I’ll stay away from it.
Let me help you with your baggage.
She folded her handkerchief neatly.
If you like tuna and tomato sauce- try combining the two. It’s really not as bad as it sounds.
Two seats were vacant.
He didn’t want to go to the dentist, yet he went anyway.
We have a lot of rain in June.
My Mum tries to be cool by saying that she likes all the same things that I do.
We have never been to Asia, nor have we visited Africa.
Tom got a small piece of pie.
Wow, does that work?
The lake is a long way from here.
She did not cheat on the test, for it was not the right thing to do.
I really want to go to work, but I am too sick to drive.
Rock music approaches at high velocity.
He said he was not there yesterday; however, many people saw him there.
The book is in front of the table.
If the Easter Bunny and the Tooth Fairy had babies would they take your teeth and leave chocolate for you?
It was getting dark, and we weren’t there yet.
Last Friday in three week’s time I saw a spotted striped blue worm shake hands with a legless lizard.
He ran out of money, so he had to stop playing poker.
Writing a list of random sentences is harder than I initially thought it would be.
They got there early, and they got really good seats.
She borrowed the book from him many years ago and has not yet returned it.
I currently have 4 windows open up… and I don’t know why.
He turned in the research paper on Friday; otherwise, he would have not passed the class.
Italy is my favorite country; in fact, I plan to spend two weeks there next year.'),
(4, 'Example82', 'Nassim Habbash', 'A purple pig and a green donkey flew a kite in the middle of the night and ended up sunburnt.
He ran out of money, so he had to stop playing poker.
Last Friday in three week’s time I saw a spotted striped blue worm shake hands with a legless lizard.
Italy is my favorite country; in fact, I plan to spend two weeks there next year.
She borrowed the book from him many years ago and has not yet returned it.
Where do random thoughts come from?
I was very proud of my nickname throughout high school but today- I couldn’t be any different to what my nickname was.
I will never be this young again. Ever. Oh damn… I just got older.
It was getting dark, and we weren’t there yet.
When I was little I had a car door slammed shut on my hand. I still remember it quite vividly.
The old apple revels in its authority.
Should we start class now, or should we wait for everyone to get here?
He turned in the research paper on Friday; otherwise, he would have not passed the class.
Writing a list of random sentences is harder than I initially thought it would be.
The shooter says goodbye to his love.
What was the person thinking when they discovered cow’s milk was fine for human consumption… and why did they do it in the first place!?
She did her best to help him.
I currently have 4 windows open up… and I don’t know why.
Sometimes, all you need to do is completely make an ass of yourself and laugh it off to realise that life isn’t so bad after all.
I checked to make sure that he was still alive.
The stranger officiates the meal.
I hear that Nancy is very pretty.
I am never at home on Sundays.
The sky is clear; the stars are twinkling.
Wednesday is hump day, but has anyone asked the camel if he’s happy about it?
If the Easter Bunny and the Tooth Fairy had babies would they take your teeth and leave chocolate for you?
Everyone was busy, so I went to the movie alone.
Check back tomorrow; I will see if the book has arrived.
The quick brown fox jumps over the lazy dog.
A glittering gem is not enough.'),
(5, 'Test another article', 'Foo bar author', 'We need to rent a room for our party.
She borrowed the book from him many years ago and has not yet returned it.
She did not cheat on the test, for it was not the right thing to do.
Joe made the sugar cookies; Susan decorated them.
The quick brown fox jumps over the lazy dog.
There were white out conditions in the town; subsequently, the roads were impassable.
Someone I know recently combined Maple Syrup & buttered Popcorn thinking it would taste like caramel popcorn. It didn’t and they don’t recommend anyone else do it either.
She advised him to come back at once.
She wrote him a long letter, but he did not read it.
The clock within this blog and the clock on my laptop are 1 hour different from each other.
We have never been to Asia, nor have we visited Africa.
Is it free?
I want more detailed information.
Wow, does that work?
Let me help you with your baggage.
Christmas is coming.
I am never at home on Sundays.
Two seats were vacant.
Yeah, I think it is a good environment for learning English.
I think I will buy the red car, or I will lease the blue one.
Do not step on the broken glass.
Rock music approaches at high velocity.
I love eating toasted cheese and tuna sandwiches.
She did her best to help him.
The river stole the gods.
Should we start class now, or should we wait for everyone to get here?
Sometimes, all you need to do is completely make an ass of yourself and laugh it off to realise that life isn’t so bad after all.
The book is in front of the table.
He told us a very exciting adventure story.
Last Friday in three week’s time I saw a spotted striped blue worm shake hands with a legless lizard.'); | true |
ae56a34386e3dcb677f903ddd6d18aab1460c584 | SQL | econne01/econey-investing | /src/app/schema.sql | UTF-8 | 697 | 2.953125 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS stocks (
date date not null,
ticker text not null,
volume real not null,
price real not null
);
CREATE TABLE IF NOT EXISTS results_year (
ticker text not null,
year smallint not null,
revenue real null,
interest real null,
net_income real null
);
CREATE UNIQUE INDEX IF NOT EXISTS IDX_Ticker_Year ON results_year (ticker, year);
CREATE TABLE IF NOT EXISTS macro_jobs (
year smallint not null,
month smallint not null,
series_key varchar(13) not null,
series_prefix varchar(2) not null,
adjusted varchar(1) not null,
supersector varchar(2) not null,
industry varchar(6) not null,
datatype varchar(2) not null,
value real not null
);
| true |
04536ff0e5ce8d19d0d7d1295ca67d2934669254 | SQL | yerkeboolan/DB_2018Spring | /Labs/Lab[6].sql | UTF-8 | 1,614 | 4.25 | 4 | [] | no_license | create table locations (
location_id serial primary key,
street_address varchar(25),
postal_code varchar(12),
city varchar(30),
state_province varchar(12)
);
create table departments (
department_id serial primary key,
department_name varchar(50) unique,
budget integer,
location_id integer references locations
);
create table employees (
employee_id serial primary key,
first_name varchar(50),
last_name varchar(50),
email varchar(50),
phone_number varchar(20),
salary integer,
manager_id integer references employees,
department_id integer references departments
);
create table job_grades (
grade char(1),
lowest_salary integer,
highest_salary integer
);
3) SELECT E.first_name,E.last_name,
D.department_name, L.city, L.state_province
FROM employees E
JOIN departments D
ON E.department_id = D.department_id
JOIN locations L
ON D.location_id = L.location_id;
4) SELECT E.first_name, E.last_name, E.salary, J.grade_level
FROM employees E
JOIN job_grades J
ON E.salary BETWEEN J.lowest_sal AND J.highest_sal;
5) select t1.first_name, t1.last_name, t1.salary, t2.employee_id
from employees as t1 inner join employees as t2 using (employee_salary) where employees.employee_id = 120
6) SELECT E.first_name AS "Employee Name",
M.first_name AS "Manager"
FROM employees E
JOIN employees M
ON E.manager_id = M.employee_id;
7) select employees.first_name, employees.last_name, departments.department_id, departments.department_name
inner join departments on department_id is null or department_id is not null | true |
7837ef66c8808ba2a5b1e45616d1192a4a985af0 | SQL | A-DiRusso/DigitalCrafts-Developer-in-Res | /todo-app-2019/schema.sql | UTF-8 | 264 | 3.125 | 3 | [] | no_license | create table users (
id serial PRIMARY key,
displayname VARCHAR(100),
username VARCHAR(100)
);
create table tasks (
id serial PRIMARY key,
priority integer,
task VARCHAR(100),
status boolean DEFAULT false,
user_id integer REFERENCES users(id)
);
| true |
1385d76dcc5a01826f0dc6752d9e11112bbc2455 | SQL | vijitdesilva/sql-challenge | /EmployeeSQL/Query.sql | UTF-8 | 3,016 | 4.625 | 5 | [] | no_license | --List the following details of each employee: employee number, last name, first name, sex, and salary.
SELECT employees.emp_no AS "employee number",
employees.last_name AS "last name",
employees.first_name AS "first name",
employees.sex, salaries.salary
FROM employees
JOIN salaries
ON(employees.emp_no= salaries.emp_no);
--List first name, last name, and hire date for employees who were hired in 1986.
SELECT employees.emp_no AS "employee number",
employees.last_name AS "last name",
employees.hire_date AS "hire date"
FROM employees
WHERE employees.hire_date
between '1986-01-01' and '1986-12-31';
--List the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name.
SELECT departments.dept_no AS "department number",
departments.dept_name AS "department name",
dept_manager.emp_no AS "manager employee number",
employees.last_name AS "last name",
employees.first_name AS "first name"
FROM employees
JOIN dept_manager
ON(employees.emp_no = dept_manager.emp_no)
JOIN departments
ON(departments.dept_no = dept_manager.dept_no);
--List the department of each employee with the following information: employee number, last name, first name, and department name.
SELECT employees.emp_no AS "employee number",
employees.last_name AS "last name",
employees.first_name AS "first name",
departments.dept_name AS "department"
FROM employees
JOIN dept_emp
ON(dept_emp.emp_no = employees.emp_no)
JOIN departments
ON(departments.dept_no = dept_emp.dept_no);
--List first name, last name, and sex for employees whose first name is "Hercules" and last names begin with "B."
SELECT employees.last_name AS "last name",
employees.first_name AS "first name",
employees.sex AS "Gender"
FROM employees
WHERE first_name = 'Hercules'AND last_name LIKE 'B%';
--List all employees in the Sales department, including their employee number, last name, first name, and department name.
SELECT employees.emp_no AS "employee number",
employees.last_name AS "last name",
employees.first_name AS "first name",
departments.dept_name AS "department"
FROM employees
JOIN dept_emp
ON(dept_emp.emp_no = employees.emp_no)
JOIN departments
ON(departments.dept_no = dept_emp.dept_no)
WHERE dept_name = 'Sales';
--List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name.
SELECT employees.emp_no,
employees.last_name AS "last name",
employees.first_name AS "first name",
departments.dept_name AS "department"
FROM employees
JOIN dept_emp
ON(dept_emp.emp_no = employees.emp_no)
JOIN departments
ON(departments.dept_no = dept_emp.dept_no)
WHERE dept_name = 'Sales' OR dept_name = 'Development';
--In descending order, list the frequency count of employee last names, i.e., how many employees share each last name.
SELECT last_name AS "last name",
COUNT(last_name) AS "Frequency count"
FROM employees
GROUP BY last_name
ORDER BY "Frequency count" DESC; | true |
64f402810aa3dc41d8e7e5e381a4682b57ae2afb | SQL | Cheep2Workshop/Proj_web | /cmd/sql/7_orderalter.up.sql | UTF-8 | 190 | 2.734375 | 3 | [] | no_license | ALTER TABLE `order_details`
ADD COLUMN `order_id` BIGINT,
ADD FOREIGN KEY(`order_id`) REFERENCES `orders`(`id`);
ALTER TABLE `orders`
ADD FOREIGN KEY (`user_id`) REFERENCES `users`(`id`);
| true |
1da17c534d4edc7253ae440ddf3c274a47613b03 | SQL | mohamedhaouali/scratch | /hireo.sql | UTF-8 | 20,273 | 2.765625 | 3 | [
"MIT"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.8.3
-- https://www.phpmyadmin.net/
--
-- Hôte : 127.0.0.1
-- Généré le : mar. 12 nov. 2019 à 12:39
-- Version du serveur : 10.1.37-MariaDB
-- Version de PHP : 7.2.12
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 */;
--
-- Base de données : `hireo`
--
-- --------------------------------------------------------
--
-- Structure de la table `comments`
--
CREATE TABLE `comments` (
`id` bigint(20) UNSIGNED NOT NULL,
`content` text COLLATE utf8mb4_unicode_ci NOT NULL,
`user_id` bigint(20) UNSIGNED NOT NULL,
`commentable_id` int(11) NOT NULL,
`commentable_type` varchar(191) 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;
--
-- Déchargement des données de la table `comments`
--
INSERT INTO `comments` (`id`, `content`, `user_id`, `commentable_id`, `commentable_type`, `created_at`, `updated_at`) VALUES
(16, 'bonjour', 11, 4, 'App\\Services', '2019-10-29 12:26:46', '2019-10-29 12:26:46'),
(17, 'bonjour lobna', 11, 16, 'App\\Comment', '2019-10-29 12:27:24', '2019-10-29 12:27:24'),
(18, 'winek cv !!', 11, 4, 'App\\Services', '2019-10-29 12:27:32', '2019-10-29 12:27:32'),
(19, 'bonjour', 10, 6, 'App\\Services', '2019-10-29 14:05:25', '2019-10-29 14:05:25');
-- --------------------------------------------------------
--
-- Structure de la table `details_users`
--
CREATE TABLE `details_users` (
`id` bigint(20) UNSIGNED NOT NULL,
`id_users` int(11) NOT NULL,
`photo_profil` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`tel1` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`tel2` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`fax` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`ville` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`adress` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`cp` int(11) DEFAULT NULL,
`poste` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`typeinfluencer` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`urlfb` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`urlinstagram` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`presentation` varchar(191) 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;
--
-- Déchargement des données de la table `details_users`
--
INSERT INTO `details_users` (`id`, `id_users`, `photo_profil`, `tel1`, `tel2`, `fax`, `ville`, `adress`, `cp`, `poste`, `typeinfluencer`, `urlfb`, `urlinstagram`, `presentation`, `created_at`, `updated_at`) VALUES
(1, 1, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2019-10-24 11:16:00', '2019-10-24 11:16:00'),
(5, 7, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2019-10-28 08:59:40', '2019-10-28 08:59:40'),
(6, 8, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2019-10-28 09:04:37', '2019-10-28 09:04:37'),
(8, 10, '296055_Monji-Slim-tof.png', NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'facebook', NULL, NULL, '\"', '2019-10-28 13:53:12', '2019-10-29 13:29:08'),
(9, 11, '461248_helmi ayedi.jpg', NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'facebook', 'https://www.facebook.com/mosaiquefm/', 'https://www.instagram.com/cristiano/', '\" \"', '2019-10-29 12:09:49', '2019-10-30 12:47:56');
-- --------------------------------------------------------
--
-- Structure de la table `messages`
--
CREATE TABLE `messages` (
`id` bigint(20) UNSIGNED NOT NULL,
`from` bigint(20) NOT NULL,
`to` bigint(20) NOT NULL,
`message` text COLLATE utf8mb4_unicode_ci NOT NULL,
`is_read` tinyint(4) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Structure de la table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Déchargement des données de la table `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_09_23_124550_create_details_users_table', 1),
(4, '2019_09_24_133326_create_services_table', 1),
(5, '2019_09_24_134008_create_mots_table', 1),
(6, '2019_10_17_093423_create_sousservices_table', 1),
(7, '2019_10_17_143355_create_servicesproposes_table', 1),
(8, '2019_10_21_143256_create_messages_table', 1),
(9, '2019_10_24_125401_create_comments_table', 2),
(10, '2019_10_24_144011_create_notifications_table', 3);
-- --------------------------------------------------------
--
-- Structure de la table `mots`
--
CREATE TABLE `mots` (
`id` bigint(20) UNSIGNED NOT NULL,
`id_offre` int(11) DEFAULT NULL,
`tags` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`id_user` varchar(191) 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;
--
-- Déchargement des données de la table `mots`
--
INSERT INTO `mots` (`id`, `id_offre`, `tags`, `id_user`, `created_at`, `updated_at`) VALUES
(1, 2, 'Développement', '1', '2019-10-24 11:21:03', '2019-10-24 11:21:03'),
(2, 3, 'Publicté', '4', '2019-10-24 12:37:50', '2019-10-24 12:37:50'),
(3, 4, 'santé', '1', '2019-10-25 11:18:13', '2019-10-25 11:18:13'),
(4, 5, 'FrontEnd', '11', '2019-10-29 12:36:10', '2019-10-29 12:36:10'),
(5, 5, NULL, '11', '2019-10-29 12:36:10', '2019-10-29 12:36:10'),
(6, 6, 'FrontEnd', '10', '2019-10-29 14:02:43', '2019-10-29 14:02:43'),
(7, 7, 'Développement', '11', '2019-10-30 08:36:16', '2019-10-30 08:36:16'),
(8, 8, 'Développement', '11', '2019-10-30 08:51:17', '2019-10-30 08:51:17'),
(9, 9, 'Développement', '11', '2019-10-30 09:40:01', '2019-10-30 09:40:01'),
(10, 10, 'eee', '11', '2019-10-30 11:07:10', '2019-10-30 11:07:10'),
(11, 11, '1111', '11', '2019-10-30 11:10:47', '2019-10-30 11:10:47'),
(12, 12, 'dddd', '11', '2019-10-30 11:14:55', '2019-10-30 11:14:55'),
(13, 13, 'med', '11', '2019-10-30 11:16:56', '2019-10-30 11:16:56'),
(14, 14, 'eee', '11', '2019-10-30 11:28:38', '2019-10-30 11:28:38');
-- --------------------------------------------------------
--
-- Structure de la table `notifications`
--
CREATE TABLE `notifications` (
`id` char(36) COLLATE utf8mb4_unicode_ci NOT NULL,
`type` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`notifiable_type` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`notifiable_id` bigint(20) UNSIGNED NOT NULL,
`data` text COLLATE utf8mb4_unicode_ci NOT NULL,
`read_at` timestamp NULL DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Déchargement des données de la table `notifications`
--
INSERT INTO `notifications` (`id`, `type`, `notifiable_type`, `notifiable_id`, `data`, `read_at`, `created_at`, `updated_at`) VALUES
('1f206d97-bf38-4b60-ad6a-bfadf7e53571', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"Pieter Parker\",\"serviceTitle\":\"sant\\u00e9\",\"serviceId\":4}', '2019-10-25 11:20:43', '2019-10-25 11:19:39', '2019-10-25 11:20:43'),
('2bd3f441-9be4-46cf-8f49-2b9ec8cd4401', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"mohamedRejab\",\"serviceTitle\":\"loisir\",\"serviceId\":2}', '2019-10-07 23:00:00', '2019-10-24 14:27:02', '2019-10-24 14:27:02'),
('447e604b-ecbf-45a9-a24c-4dfd5e94eaf1', 'App\\Notifications\\NewCommentPosted', 'App\\User', 10, '{\"user\":\"med\",\"serviceTitle\":\"D\\u00e9veloppement Angular\",\"serviceId\":6}', '2019-10-29 02:05:44', '2019-10-29 14:05:25', '2019-10-29 14:05:44'),
('463d1f49-d72b-4c04-a3af-d32f45da24c6', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"mohamedRejab\",\"serviceTitle\":\"loisir\",\"serviceId\":2}', '2019-10-25 11:18:22', '2019-10-25 07:02:08', '2019-10-25 11:18:22'),
('53f0acae-b02f-46cc-9c12-9a6163c49dda', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"Pieter Parker\",\"serviceTitle\":\"loisir\",\"serviceId\":2}', '2019-10-25 06:59:56', '2019-10-24 13:54:31', '2019-10-25 06:59:56'),
('62901eaa-e30b-4c85-b036-c60320b06fdb', 'App\\Notifications\\NewCommentPosted', 'App\\User', 4, '{\"user\":\"mohamedRejab\",\"serviceTitle\":\"Publicit\\u00e9\",\"serviceId\":3}', '2019-10-25 07:08:53', '2019-10-25 07:03:47', '2019-10-25 07:08:53'),
('73ae8414-72bf-4578-94f8-722e09c50c11', 'App\\Notifications\\NewCommentPosted', 'App\\User', 4, '{\"user\":\"mohamedRejab\",\"serviceTitle\":\"Publicit\\u00e9\",\"serviceId\":3}', '2019-10-25 07:08:44', '2019-10-25 07:01:41', '2019-10-25 07:08:44'),
('74707cc3-9417-4d2e-839a-761b4b596db5', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"amrilobna\",\"serviceTitle\":\"sant\\u00e9\",\"serviceId\":4}', NULL, '2019-10-29 12:27:32', '2019-10-29 12:27:32'),
('7ec67284-ecaa-407e-85dd-75e2f01de66b', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"mohamedRejab\",\"serviceTitle\":\"loisir\",\"serviceId\":2}', '2019-10-25 06:57:30', '2019-10-25 06:46:11', '2019-10-25 06:57:30'),
('b2f55b02-c28f-4eac-ba20-2c74a00fe66b', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"amrilobna\",\"serviceTitle\":\"sant\\u00e9\",\"serviceId\":4}', NULL, '2019-10-29 12:26:46', '2019-10-29 12:26:46'),
('e75382a8-1cc9-4c0f-af95-553a2187f481', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"mohamedRejab\",\"serviceTitle\":\"loisir\",\"serviceId\":2}', '2019-10-25 07:00:51', '2019-10-25 07:00:47', '2019-10-25 07:00:51'),
('fcc210fe-9dbb-42ce-84e2-338e11bb940c', 'App\\Notifications\\NewCommentPosted', 'App\\User', 1, '{\"user\":\"Pieter Parker\",\"serviceTitle\":\"loisir\",\"serviceId\":2}', '2019-10-25 11:20:53', '2019-10-25 11:20:00', '2019-10-25 11:20:53');
-- --------------------------------------------------------
--
-- Structure de la table `password_resets`
--
CREATE TABLE `password_resets` (
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Structure de la table `services`
--
CREATE TABLE `services` (
`id` bigint(20) UNSIGNED NOT NULL,
`user_id` bigint(20) UNSIGNED NOT NULL,
`titre` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`type` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`localisation` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`description` text COLLATE utf8mb4_unicode_ci,
`salaire_min` int(11) DEFAULT NULL,
`salaire_max` int(11) DEFAULT NULL,
`document` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`sous_services` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`noms_services` varchar(191) 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;
--
-- Déchargement des données de la table `services`
--
INSERT INTO `services` (`id`, `user_id`, `titre`, `type`, `localisation`, `description`, `salaire_min`, `salaire_max`, `document`, `sous_services`, `noms_services`, `created_at`, `updated_at`) VALUES
(2, 1, 'loisir', 'Facebook', 'sfax', 'text text text', 1111, 20000, '', '2', '1', '2019-10-24 11:21:03', '2019-10-24 11:21:03'),
(4, 1, 'santé', 'Facebook', 'sfax', 'bla bla bla', 400, 1700, '', '7', '3', '2019-10-25 11:18:13', '2019-10-25 11:18:13'),
(6, 10, 'Développement Angular', NULL, 'tunis', 'Full Time Developpement', 1700, 2200, '', '1', '1', '2019-10-29 14:02:43', '2019-10-29 14:02:43'),
(9, 11, 'Développement Angular', NULL, 'tunis', 'Dev', 400, 1700, '', '2', '1', '2019-10-30 09:40:01', '2019-10-30 09:40:01'),
(10, 11, 'vue js', NULL, 'tunis', 'eeeee', 1111, 2222, '', '5', '2', '2019-10-30 11:07:10', '2019-10-30 11:07:10'),
(11, 11, '3D unity', NULL, 'sfax', '3D unity game video', 400, 750, '', '4', '2', '2019-10-30 11:10:47', '2019-10-30 12:36:07'),
(13, 11, 'medina', NULL, 'tunis', NULL, 1200, 1400, '', '3', '2', '2019-10-30 11:16:56', '2019-10-30 12:35:14'),
(14, 11, 'mmm', NULL, 'tunis', NULL, 1400, 1700, '', '5', '2', '2019-10-30 11:28:38', '2019-10-30 12:24:38');
-- --------------------------------------------------------
--
-- Structure de la table `servicesproposes`
--
CREATE TABLE `servicesproposes` (
`id` bigint(20) UNSIGNED NOT NULL,
`nomservice` varchar(191) 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;
--
-- Déchargement des données de la table `servicesproposes`
--
INSERT INTO `servicesproposes` (`id`, `nomservice`, `created_at`, `updated_at`) VALUES
(1, 'Développement', NULL, NULL),
(2, 'Multimedia', NULL, NULL),
(3, 'Publicité', NULL, NULL),
(4, 'Autre', NULL, NULL);
-- --------------------------------------------------------
--
-- Structure de la table `sousservices`
--
CREATE TABLE `sousservices` (
`id` bigint(20) UNSIGNED NOT NULL,
`nomsousservices` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`id_service` int(11) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Déchargement des données de la table `sousservices`
--
INSERT INTO `sousservices` (`id`, `nomsousservices`, `id_service`, `created_at`, `updated_at`) VALUES
(1, 'React', 1, NULL, NULL),
(2, 'Angular', 1, NULL, NULL),
(3, 'Montage Video', 2, NULL, NULL),
(4, 'Photoshop', 2, NULL, NULL),
(5, 'Ilustrator', 2, NULL, NULL),
(7, 'Sur Facebook', 3, NULL, NULL),
(8, 'Sur Instagram', 3, NULL, NULL),
(9, 'Autre', 4, NULL, NULL),
(10, 'Les Deux', 3, NULL, NULL);
-- --------------------------------------------------------
--
-- Structure de la table `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`avatar` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`email` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`password` varchar(60) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`provider` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`provider_id` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`token` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`etat` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`email_verified_at` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT 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;
--
-- Déchargement des données de la table `users`
--
INSERT INTO `users` (`id`, `name`, `avatar`, `email`, `password`, `provider`, `provider_id`, `token`, `etat`, `email_verified_at`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'mohamedRejab', 'https://via.placeholder.com/150', 'mohamedhaoili@gmail.com', '$2y$10$mB4bdTafY2HOxU2GyfOpJe8CZ3Z49LrquvkbqVY3adTyPrFXojeqS', NULL, NULL, 'eZSO1sxhV5Hu6vYwqiwUoYFq66O0lW3RgsqIkBXWtgwU28P249iIiwYiAeQk', 'verifier', NULL, NULL, '2019-10-24 11:16:00', '2019-10-24 11:16:16'),
(7, 'med', 'https://via.placeholder.com/150', 'mohamed.haouali1@gmail.com', '$2y$10$1NvCW4OyW9wIzsgKjeVy/uq3JFYgBsPeHKJoPBxM9ffkHoGASabeW', NULL, NULL, '69b8dEtShRNpxRPBIrXEZfVDXMp1w4yIfcyQDejhafz5I82lsevRmHcudPAv', 'non verifier', NULL, NULL, '2019-10-28 08:59:40', '2019-10-28 08:59:40'),
(8, 'mohamedRejab', 'https://via.placeholder.com/150', 'mohamed.rejab003@gmail.com', '$2y$10$T1Ro9FB1kRjqrh7KmojAHeRfLo5fzJPpSRmP0H6HJUfpLP3b9QULa', NULL, NULL, 'RkGAs6RGwj6HYLfibC2H5nd4vu7LusAxfmwWSCloR9aKGgG5iQOFgLrqJ88w', 'verifier', NULL, NULL, '2019-10-28 09:04:37', '2019-10-28 09:09:03'),
(10, 'med', 'https://via.placeholder.com/150', 'giga466@hotmail.com', '$2y$10$2//7vTjfVRInHFD/2p0.QuDIHsdMGHzDvRVAo0eM2QQutiA9YD62m', NULL, NULL, 'OmVhYoat8EsOTxZZW6NmcGgejsorI8XiDaZbskwD5J835h3Ausu1Coa3Qnv8', 'verifier', NULL, NULL, '2019-10-28 13:53:12', '2019-10-29 13:26:07'),
(11, 'amrilobna', 'https://via.placeholder.com/150', 'amrilobna1@gmail.com', '$2y$10$5qlRYGMOFv3y7YZ4iK4gX.n1z3vdq9Lb8446Se2PHoiZtX20dMceS', NULL, NULL, 'V9NWUoOteXhYJgtWdRG9p14GYA1Q2L7jFDY5MGcu727ryYMy1sIxSJv5U4rb', 'verifier', NULL, NULL, '2019-10-29 12:09:49', '2019-10-29 12:11:09');
--
-- Index pour les tables déchargées
--
--
-- Index pour la table `comments`
--
ALTER TABLE `comments`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `details_users`
--
ALTER TABLE `details_users`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `messages`
--
ALTER TABLE `messages`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `mots`
--
ALTER TABLE `mots`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `notifications`
--
ALTER TABLE `notifications`
ADD PRIMARY KEY (`id`),
ADD KEY `notifications_notifiable_type_notifiable_id_index` (`notifiable_type`,`notifiable_id`);
--
-- Index pour la table `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Index pour la table `services`
--
ALTER TABLE `services`
ADD PRIMARY KEY (`id`),
ADD KEY `services_user_id_foreign` (`user_id`);
--
-- Index pour la table `servicesproposes`
--
ALTER TABLE `servicesproposes`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `sousservices`
--
ALTER TABLE `sousservices`
ADD PRIMARY KEY (`id`);
--
-- Index pour la table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT pour les tables déchargées
--
--
-- AUTO_INCREMENT pour la table `comments`
--
ALTER TABLE `comments`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=20;
--
-- AUTO_INCREMENT pour la table `details_users`
--
ALTER TABLE `details_users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT pour la table `messages`
--
ALTER TABLE `messages`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT pour la table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
--
-- AUTO_INCREMENT pour la table `mots`
--
ALTER TABLE `mots`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=15;
--
-- AUTO_INCREMENT pour la table `services`
--
ALTER TABLE `services`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=15;
--
-- AUTO_INCREMENT pour la table `servicesproposes`
--
ALTER TABLE `servicesproposes`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT pour la table `sousservices`
--
ALTER TABLE `sousservices`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
--
-- AUTO_INCREMENT pour la table `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- Contraintes pour les tables déchargées
--
--
-- Contraintes pour la table `services`
--
ALTER TABLE `services`
ADD CONSTRAINT `services_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`);
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 */;
| true |
1416de690c086425e35dfc81084d1c77207c542d | SQL | nitrajka/paymentsAPI | /queries.sql | UTF-8 | 301 | 3.09375 | 3 | [
"MIT"
] | permissive | -- name: GetPayment :one
SELECT * FROM payments
WHERE id = $1;
-- name: GetPayments :many
SELECT * FROM payments;
-- name: CreatePayment :one
INSERT INTO payments (amount, description, sender, datetime)
VALUES ($1, $2, $3, $4) RETURNING *;
-- name: GetBalance :one
SELECT sum(amount) FROM payments; | true |
0269ce2745610e632df6dcbe281c6adb95662cab | SQL | henuliyanying/partySys | /party.sql | UTF-8 | 152,370 | 2.859375 | 3 | [] | no_license | /*
Navicat MySQL Data Transfer
Source Server : mysql 5.7
Source Server Version : 50731
Source Host : localhost:3306
Source Database : party
Target Server Type : MYSQL
Target Server Version : 50731
File Encoding : 65001
Date: 2021-03-30 10:51:43
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for learn
-- ----------------------------
DROP TABLE IF EXISTS `learn`;
CREATE TABLE `learn` (
`learnSer` int(255) DEFAULT NULL,
`leaSteam` text
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of learn
-- ----------------------------
INSERT INTO `learn` VALUES ('1', '党的十九大精神的灵魂和主线是:习近平新时代中国特色社会主义思想。');
INSERT INTO `learn` VALUES ('2', '党的十九大把习近平新时代中国特色社会主义思想确立为党必须长期坚持的指导思想并写进党章，实现了党的指导思想的与时俱进。');
INSERT INTO `learn` VALUES ('3', '近平新时代中国特色社会主义思想的历史地位是：是对马克思列宁主义、毛泽东思想、邓小平理论、“三个代表”重要思想、科学发展观的继承和发展，是马克思主义中国化最新成果，是党和人民实践经验和集体智慧的结晶，是中国特色社会主义理论体系的重要组成部分，是全党全国人民为实现中华民族伟大复兴而奋斗的行动指南。');
INSERT INTO `learn` VALUES ('4', '“两个维护”是指坚决维护习近平总书记党中央的核心、全党的核心地位，坚决维护党中央权威和集中统一领导。');
INSERT INTO `learn` VALUES ('5', '“四个意识”即:政治意识、大局意识、核心意识、看齐意识。');
INSERT INTO `learn` VALUES ('6', '“四个自信”即：中国特色社会主义道路自信、理论自信、制度自信、文化自信。');
INSERT INTO `learn` VALUES ('7', '习近平总书记强调的三个“一以贯之”是指：坚持和发展中国特色社会主义要一以贯之，推进党的建设新的伟大工程要一以贯之,增强忧患意识、防范风险挑战要一以贯之。');
INSERT INTO `learn` VALUES ('8', '坚持和发展中国特色社会主义是改革开放以来党的全部理论和实践的主题，是当代中国发展进步的根本方向。');
INSERT INTO `learn` VALUES ('9', '近代以来中华民族最伟大的梦想是：实现中华民族伟大复兴。');
INSERT INTO `learn` VALUES ('10', '中国梦的本质是国家富强、民族振兴、人民幸福。');
INSERT INTO `learn` VALUES ('11', '实现中国梦必须走中国道路，必须弘扬中国精神，必须凝聚中国力量。');
INSERT INTO `learn` VALUES ('12', '中国共产党的领导是中国特色社会主义最本质的特征，是中国特色社会主义制度的最大优势。');
INSERT INTO `learn` VALUES ('13', '经过长期的努力，中国特色社会主义进入了新时代，这是我国发展新的历史方位。');
INSERT INTO `learn` VALUES ('14', '我国社会主要矛盾已经转化为人民日益增长的美好生活需要和不平衡不充分的发展之间的矛盾。');
INSERT INTO `learn` VALUES ('15', '我国社会主要矛盾的变化，没有改变我们对我国社会主义所处历史阶段的判断，我国仍处于并将长期处于社会主义初级阶段的基本国情没有变，我国是世界最大发展中国家的国际地位没有变。');
INSERT INTO `learn` VALUES ('16', '党的十九大的主题是：不忘初心，牢记使命，高举中国特色社会主义伟大旗帜，决胜全面建成小康社会，夺取新时代中国特色社会主义伟大胜利，为实现中华民族伟大复兴的中国梦不懈奋斗。');
INSERT INTO `learn` VALUES ('17', '党的十九大报告强调的“四个伟大”是指:伟大斗争、伟大工程、伟大事业、伟大梦想。其中起决定性作用的是党的建设新的伟大工程。');
INSERT INTO `learn` VALUES ('18', '人民立场是党的根本政治立场。');
INSERT INTO `learn` VALUES ('19', '中国共产党人的初心和使命是：为中国人民谋幸福，为中华民族谋复兴。');
INSERT INTO `learn` VALUES ('20', '为什么人的问题，是检验一个政党、一个政权性质的试金石。');
INSERT INTO `learn` VALUES ('21', '人民对美好生活的向往就是我们的奋斗目标。');
INSERT INTO `learn` VALUES ('22', '我们党是代表最广大人民利益的政党，一切工作的成败得失必然要由人民群众来检验，以人民拥护不拥护、赞成不赞成、高兴不高兴、答应不答应作为根本标准。');
INSERT INTO `learn` VALUES ('23', '保障和改善民生要抓住人民最关心最直接最现实的利益问题，既要尽力而为，又要量力而行，一件事情接着一件事情办，一年接着一年干。');
INSERT INTO `learn` VALUES ('24', '习近平总书记指出，中国人民是具有伟大创造精神的人民,具有伟大奋斗精神的人民,具有伟大团结精神的人民,具有伟大梦想精神的人民。');
INSERT INTO `learn` VALUES ('25', '从党的十九大到党的二十大，是“两个一百年”奋斗目标的历史交汇期。我们既要全面建成小康社会、实现第一个百年奋斗目标，又要乘势而上开启全面建设社会主义现代化国家新征程，向第二个百年奋斗目标进军。');
INSERT INTO `learn` VALUES ('26', '国家治理体系和治理能力是一个国家的制度和制度执行能力的集中体现。');
INSERT INTO `learn` VALUES ('27', '发展是解决我国一切问题的基础和关键，发展必须是科学发展，必须坚定不移贯彻创新、协调、绿色、开放、共享的发展理念。');
INSERT INTO `learn` VALUES ('28', '创新是引领发展的第一动力，协调是持续健康发展的内在要求，绿色是永续发展的必要条件，开放是国家繁荣发展的必由之路，共享是中国特色社会主义的本质要求。');
INSERT INTO `learn` VALUES ('29', '“五位一体”总体布局是指:经济建设、政治建设、文化建设、社会建设、生态文明建设。');
INSERT INTO `learn` VALUES ('30', '“四个全面”战略布局是指：全面建设社会主义现代化国家、全面深化改革、全面依法治国、全面从严治党。');
INSERT INTO `learn` VALUES ('31', '全面从严治党基础在全面，关键在严，要害在治。“全面”就是管全党、治全党，面向全体党员和党组织，覆盖党的建设各个领域、各个方面、各个部门，重点是抓住领导干部这个“关键少数”。“严”就是真管真严、敢管敢严、长管长严。“治”就是从党中央到省市县党委，从中央部委、国家机关部门党组（党委）到基层党支部，都要肩负起主体责任，党委书记要把抓好党建当作分内之事、必须担当的责任；各级纪委要担负起监督责任，敢于瞪眼黑脸，敢于执纪问责。');
INSERT INTO `learn` VALUES ('32', '改革开放是决定当代中国命运的关键一招,也是决定实现“两个一百年”奋斗目标、实现中华民族伟大复兴的关键一招。');
INSERT INTO `learn` VALUES ('33', '改革必须坚持正确方向，既不走封闭僵化的老路、也不走改旗易帜的邪路。');
INSERT INTO `learn` VALUES ('34', '全面建成小康社会决胜期的“三大攻坚战”是指：坚决打好防范化解重大风险、精准脱贫、污染防治的攻坚战。');
INSERT INTO `learn` VALUES ('35', '我国经济已由高速增长阶段转向高质量发展阶段，正处在转变发展方式、优化经济结构、转换增长动力的攻关期，建设现代化经济体系是跨越关口的迫切要求和我国发展的战略目标。');
INSERT INTO `learn` VALUES ('36', '高质量发展集中体现了坚持以提高发展质量和效益为中心，是为了更好满足人民日益增长的美好生活需要的发展，是体现新发展理念的发展。');
INSERT INTO `learn` VALUES ('37', '推进供给侧结构性改革是当前和今后一个时期经济发展和经济工作的主线。');
INSERT INTO `learn` VALUES ('38', '当前和今后一个时期，我国经济发展面临的问题,供给和需求两侧都有，但矛盾的主要方面在供给侧。');
INSERT INTO `learn` VALUES ('39', '供给侧结构性改革的“三去一降一补”是指：去产能、去库存、去杠杆、降成本、补短板。');
INSERT INTO `learn` VALUES ('40', '党的十九大强调，要使市场在资源配置中起决定性作用，更好发挥政府作用。');
INSERT INTO `learn` VALUES ('41', '八个明确回答了新时代我们要坚持和发展什么样的中国特色社会主义。（1）明确坚持和发展中国特色社会主义，总任务是实现社会主义现代化和中华民族伟大复兴，在全面建成小康社会的基础上，分两步走在本世纪中叶建成富强民主文明和谐美丽的社会主义现代化强国；（2）明确新时代我国社会主要矛盾是人民日益增长的美好生活需要和不平衡不充分的发展之间的矛盾，必须坚持以人民为中心的发展思想，不断促进人的全面发展、全体人民共同富裕；（3）明确中国特色社会主义事业总体布局是“五位一体”、战略布局是“四个全面”，强调坚定道路自信、理论自信、制度自信、文化自信；（4）明确全面深化改革总目标是完善和发展中国特色社会主义制度、推进国家治理体系和治理能力现代化；（5）明确全面推进依法治国总目标是建设中国特色社会主义法治体系、建设社会主义法治国家；（6）明确党在新时代的强军目标是建设一支听党指挥、能打胜仗、作风优良的人民军队，把人民军队建设成为世界一流军队；（7）明确中国特色大国外交要推动构建新型国际关系，推动构建人类命运共同体；（8）明确中国特色社会主义最本质的特征是中国共产党领导，中国特色社会主义最大优势是中国共产党领导，党是最高政治领导力量，提出新时代党的建设总要求，突出政治建设在党的建设中的重要地位。');
INSERT INTO `learn` VALUES ('42', '十四个坚持（习近平新时代中国特色社会主义思想的基本方略）（1）坚持党对一切工作的领导；（2）坚持以人民为中心；（3）坚持全面深化改革；（4）坚持新发展理念；（5）坚持人民当家作主；（6）坚持全面依法治国；（7）坚持社会主义核心价值体系；（8）坚持在发展中保障和改善民生；（9）坚持人与自然和谐共生；（10）坚持总体国家安全观；（11）坚持党对人民军队的绝对领导；（12）坚持“一国两制”和推进祖国统一；（13）坚持推动构建人类命运共同体；（14）坚持全面从严治党。');
INSERT INTO `learn` VALUES ('43', '五大文明是指：物质文明、政治文明、精神文明、社会文明、生态文明');
INSERT INTO `learn` VALUES ('44', '“一带一路”是指：丝绸之路经济带和21世纪海上丝绸之路。要着力把“一带一路”建成和平之路、繁荣之路、开放之路、创新之路、文明之路。');
INSERT INTO `learn` VALUES ('45', '全面开放是实现国家繁荣富强的根本出路。');
INSERT INTO `learn` VALUES ('46', '乡村振兴战略的总要求是：产业兴旺、生态宜居、乡风文明、治理有效、生活富裕。');
INSERT INTO `learn` VALUES ('47', '走中国特色社会主义政治发展道路，必须坚持党的领导、人民当家作主、依法治国的有机统一。');
INSERT INTO `learn` VALUES ('48', '社会主义民主政治的本质特征是人民当家作主。');
INSERT INTO `learn` VALUES ('49', '中国实行工人阶级领导的、以工农联盟为基础的人民民主专政的国体，实行人民代表大会制度的政体，实行中国共产党领导的多党合作和政治协商制度,实行民族区域自治制度,实行基层群众自治制度，具有鲜明的中国特色。');
INSERT INTO `learn` VALUES ('50', '中国共产党同各民主党派实行长期共存、互相监督、肝胆相照、荣辱与共的基本方针。');
INSERT INTO `learn` VALUES ('51', '全面深化改革的总目标是完善和发展中国特色社会主义制度，推进国家治理体系和治理能力现代化。');
INSERT INTO `learn` VALUES ('52', '全面推进依法治国的总目标是：建设中国特色社会主义法治体系，建设社会主义法治国家。');
INSERT INTO `learn` VALUES ('53', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好政治安全、国土安全、经济安全、社会安全、网络安全、外部安全等重点领域的国家安全工作。');
INSERT INTO `learn` VALUES ('54', '习近平总书记指出，经济建设是党的中心工作，意识形态工作是党的一项极端重要的工作。');
INSERT INTO `learn` VALUES ('55', '历史和现实反复证明，能否做好意识形态工作，事关党的前途命运，事关国家长治久安，事关民族凝聚力和向心力。');
INSERT INTO `learn` VALUES ('56', '加强意识形态阵地建设和管理，要认真贯彻主管主办和属地管理原则，切实做到守土有责、守土负责、守土尽责，决不给错误思想观点提供传播渠道。');
INSERT INTO `learn` VALUES ('57', '党员要强化党的意识和组织观念，自觉做到思想上认同组织、政治上依靠组织、工作上服从组织、感情上信赖组织。');
INSERT INTO `learn` VALUES ('58', '互联网已经成为意识形态斗争的主战场、主阵地、最前沿,网络意识形态工作是意识形态工作的重中之重。');
INSERT INTO `learn` VALUES ('59', '习近平总书记指出，对人民内部矛盾，要善于运用法治、民主、协商的办法进行处理。');
INSERT INTO `learn` VALUES ('60', '勇于自我革命，从严管党治党，是我们党最鲜明的品格。');
INSERT INTO `learn` VALUES ('61', '党面临的“四大考验”是：执政考验、改革开放考验、市场经济考验、外部环境考验。');
INSERT INTO `learn` VALUES ('62', '党面临的“四种危险”是：精神懈怠的危险、能力不足的危险、脱离群众的危险、消极腐败的危险。');
INSERT INTO `learn` VALUES ('63', '我们党只有勇于直面问题，不断增强党自我净化、自我完善、自我革新、自我提高的能力,才能确保党拥有旺盛的生命力和强大的战斗力。');
INSERT INTO `learn` VALUES ('64', '改进党的领导方式。着眼于党把方向、谋大局、定政策、促改革，强化战略思维、创新思维、辩证思维、法治思维、底线思维，正确制定和坚决执行党的路线方针政策，不断增强党的政治领导力、思想引领力、群众组织力、社会号召力。');
INSERT INTO `learn` VALUES ('65', '我们党既要政治过硬，也要本领高强，要增强学习本领、政治领导本领、改革创新本领、科学发展本领、依法执政本领、群众工作本领、狠抓落实本领、驾驭风险本领。');
INSERT INTO `learn` VALUES ('66', '党的十九大报告指出，要增强政治领导本领,坚持战略思维、创新思维、辩证思维、法治思维、底线思维,科学制定和坚决执行党的路线方针政策，把党总揽全局、协调各方落到实处。');
INSERT INTO `learn` VALUES ('67', '领导干部要做尊法学法守法用法的模范。');
INSERT INTO `learn` VALUES ('68', '习近平总书记要求党的高级干部必须做到信念过硬、政治过硬、责任过硬、能力过硬、作风过硬。');
INSERT INTO `learn` VALUES ('69', '实现全面建成小康社会奋斗目标，实现中华民族伟大复兴的中国梦，关键在于培养造就一支具有铁一般信仰、铁一般信念、铁一般纪律、铁一般担当的干部队伍。');
INSERT INTO `learn` VALUES ('70', '新时期好干部标准是：信念坚定、为民服务、勤政务实、敢于担当、清正廉洁。');
INSERT INTO `learn` VALUES ('71', '群众路线始终是党的生命线和根本工作路线，是我们党永葆青春活力和战斗力的重要传家宝。');
INSERT INTO `learn` VALUES ('72', '先进性和纯洁性是马克思主义政党的本质属性。');
INSERT INTO `learn` VALUES ('73', '新时代我国法治建设的指导方针是:科学立法、严格执法、公正司法、全民守法。');
INSERT INTO `learn` VALUES ('74', '发展中国特色社会主义文化，要坚定文化自信，增强文化自觉,坚持走中国特色社会主义文化发展道路，激发全民族文化创新创造活力，建设社会主义文化强国。');
INSERT INTO `learn` VALUES ('75', '建设社会主义生态文明，要树立尊重自然、顺应自然、保护自然的生态文明理念，增强绿水青山就是金山银山的意识，坚持节约资源和保护环境的基本国策，坚持节约优先、保护优先、自然恢复为主的方针，坚持生产发展、生活富裕、生态良好的文明发展道路。');
INSERT INTO `learn` VALUES ('76', '构建人类命运共同体重要战略思想，是习近平总书记着眼人类发展和世界前途提出的中国理念、中国方案。');
INSERT INTO `learn` VALUES ('77', '党的十九大报告提出，要坚定实施科教兴国战略、人才强国战略、创新驱动发展战略、乡村振兴战略、区域协调发展战略、可持续发展战略、军民融合发展战略。');
INSERT INTO `learn` VALUES ('78', '党的建设总体布局是：全面推进党的政治建设、思想建设、组织建设、作风建设、纪律建设，把制度建设贯穿其中，深入推进反腐败斗争。');
INSERT INTO `learn` VALUES ('79', '新时代党的建设的主线是：加强党的长期执政能力建设、先进性和纯洁性建设。');
INSERT INTO `learn` VALUES ('80', '党的根本性建设是党的政治建设，决定党的建设方向和效果。');
INSERT INTO `learn` VALUES ('81', '坚持党中央权威和集中统一领导是党的政治建设的首要任务。');
INSERT INTO `learn` VALUES ('82', '把党的政治建设摆在首位，必须做到坚决防止和反对个人主义、分散主义、自由主义、本位主义、好人主义，坚决防止和反对宗派主义、圈子文化，码头文化，坚决反对搞两面派、做两面人。');
INSERT INTO `learn` VALUES ('83', '党的作风建设的核心问题是保持党同人民群众的血肉联系。');
INSERT INTO `learn` VALUES ('84', '党的“三大优良作风”是：理论联系实际、密切联系群众、批评与自我批评。');
INSERT INTO `learn` VALUES ('85', '“两学一做”学习教育，指的是“学党章党规、学系列讲话，做合格党员”学习教育。');
INSERT INTO `learn` VALUES ('86', '“三严三实”是指：严以修身、严以用权、严以律己，谋事要实、创业要实、做人要实。');
INSERT INTO `learn` VALUES ('87', '新时代党的组织路线：全面贯彻新时代中国特色社会主义思想，以组织体系建设为重点，着力培养忠诚干净担当的高素质干部。');
INSERT INTO `learn` VALUES ('88', '干部选拔任用 “凡提四必”，即讨论决定前，对拟提拔或进一步使用人选的干部档案必审、个人有关事项报告必核、纪检监察机关意见必听、线索具体的信访举报必查，坚决防止“带病提拔”。');
INSERT INTO `learn` VALUES ('89', '习近平总书记强调，全党同志要加强党性锻炼，不断提高政治觉悟和政治能力，把对党忠诚、为党分忧、为党尽职、为民造福作为根本政治担当，永葆共产党人政治本色。');
INSERT INTO `learn` VALUES ('90', '习近平指出，培养什么人，是教育的首要问题。');
INSERT INTO `learn` VALUES ('91', '习近平在全国教育大会上强调，加强党对教育工作的全面领导，是办好教育的根本保证。');
INSERT INTO `learn` VALUES ('92', '习近平在学校思想政治理论课教师座谈会上强调，办好思想政治理论课，最根本的是要全面贯彻党的教育方针，解决好培养什么人、怎样培养人、为谁培养人这个根本问题。');
INSERT INTO `learn` VALUES ('93', '新时代全国高等学校本科教育工作会议指出，我们将把回归常识、回归本分、回归初心、回归梦想作为高校改革发展的基本遵循，激励学生刻苦读书学习，引导教师潜心教书育人，努力培养德智体美全面发展的社会主义建设者和接班人，加快建设高等教育强国。');
INSERT INTO `learn` VALUES ('94', '我们将努力建设高素质教师队伍，把师德师风作为教师素质评价的第一标准，引导教师以德立身、以德立学、以德施教，更好担当起学生健康成长指导者和引路人的责任。');
INSERT INTO `learn` VALUES ('95', '习近平强调，做好新形势下宣传思想工作，必须自觉承担起举旗帜、聚民心、育新人、兴文化、展形象的使命任务。');
INSERT INTO `learn` VALUES ('96', '习近平强调，做好党的新闻舆论工作，事关旗帜和道路，事关贯彻落实党的理论和路线方针政策，事关顺利推进党和国家各项事业，事关全党全国各族人民凝聚力和向心力，事关党和国家前途命运。');
INSERT INTO `learn` VALUES ('97', '领导干部要带头学理论、强信念，筑牢信仰之基，补足精神之钙，把稳思想之舵。');
INSERT INTO `learn` VALUES ('98', '我国宗教的主要特征是：宗教具有长期性、群众性、民族性、国际性、复杂性。');
INSERT INTO `learn` VALUES ('99', '分两步走在本世纪中叶建成社会主义现代化强国的战略安排是什么？\n\n答：第一个阶段，从2020年到2035年，在全面建成小康社会的基础上，再奋斗15年，基本实现社会主义现代化；第二个阶段，从2035年到本世纪中叶，在基本实现现代化的基础上，再奋斗15年，把我国建成富强民主文明和谐美丽的社会主义现代化强国。');
INSERT INTO `learn` VALUES ('100', '“两不愁三保障”是指不愁吃、不愁穿，义务教育、基本医疗、住房安全有保障。');
INSERT INTO `learn` VALUES ('101', '社会主义核心价值观的内容是：富强、民主、文明、和谐，自由、平等、公正、法治，爱国、敬业、诚信、友善。');
INSERT INTO `learn` VALUES ('102', '贯穿习近平新时代中国特色社会主义思想的科学思想方法和工作方法有：坚持实事求是；坚持战略定力；坚持问题导向;坚持全面协调;坚持底线思维;坚持调查研究;坚持抓铁有痕；坚持历史担当。');
INSERT INTO `learn` VALUES ('103', '党章是最根本的党内法规，是管党治党的总规矩。');
INSERT INTO `learn` VALUES ('104', '党政军民学,东西南北中,党是领导一切的。');
INSERT INTO `learn` VALUES ('105', '中国共产党的宗旨是:全心全意为人民服务。');
INSERT INTO `learn` VALUES ('106', '中国共产党是中国工人阶级的先锋队，同时是中国人民和中华民族的先锋队，是中国特色社会主义事业的领导核心，代表中国先进生产力的发展要求，代表中国先进文化的前进方向，代表中国最广大人民的根本利益。');
INSERT INTO `learn` VALUES ('107', '党的最高理想和最终目标是实现共产主义。');
INSERT INTO `learn` VALUES ('108', '旗帜鲜明讲政治是我们党作为马克思主义政党的根本要求。');
INSERT INTO `learn` VALUES ('109', '中国共产党以马克思列宁主义、毛泽东思想、邓小平理论、“三个代表”重要思想、科学发展观、习近平新时代中国特色社会主义思想作为自己的行动指南。');
INSERT INTO `learn` VALUES ('110', '改革开放以来我们取得一切成绩和进步的根本原因，归结起来就是:开辟了中国特色社会主义道路,形成了中国特色社会主义理论体系，确立了中国特色社会主义制度,发展了中国特色社会主义文化。');
INSERT INTO `learn` VALUES ('111', '党的三大历史任务是：推进现代化建设、完成祖国统一、维护世界和平与促进共同发展。');
INSERT INTO `learn` VALUES ('112', '在新世纪新时代，经济和社会发展的战略目标是:到建党一百年时，全面建成小康社会;到新中国成立一百年时，全面建成社会主义现代化强国。');
INSERT INTO `learn` VALUES ('113', '严守“四条底线”：法律底线、纪律底线、政策底线、道德底线。');
INSERT INTO `learn` VALUES ('114', '合格党员的“四讲四有”是指：讲政治、有信念，讲规矩、有纪律，讲道德、有品行，讲奉献、有作为。');
INSERT INTO `learn` VALUES ('115', '党员要做到的“四个合格”是指：政治合格、执行纪律合格、品德合格、发挥作用合格。');
INSERT INTO `learn` VALUES ('116', '四个自我是指：自我净化、自我完善、自我革新、自我提高。');
INSERT INTO `learn` VALUES ('117', '党的“六大纪律”包括：政治经律、组织经律、廉洁纪律、群众纪律、工作纪律、生活纪律。');
INSERT INTO `learn` VALUES ('118', '《党章》强调，要牢牢掌握意识形态工作领导权，不断巩固马克思主义在意识形态领域的指导地位，巩固全党全国人民团结奋斗的共同思想基础。');
INSERT INTO `learn` VALUES ('119', '党的根本组织原则是民主集中制。');
INSERT INTO `learn` VALUES ('120', '民主集中制是民主基础上的集中和集中指导下的民主相结合，它既是党的根本组织原则，也是群众路线在党的生活中的运用。');
INSERT INTO `learn` VALUES ('121', '我们党的最大政治优势是密切联系群众，党执政后的最大危险是脱离群众。');
INSERT INTO `learn` VALUES ('122', '党风问题、党同人民群众联系问题是关系党生死存亡的问题。');
INSERT INTO `learn` VALUES ('123', '深入推进党风廉政建设和反腐败斗争，要以零容忍态度惩治腐败，构建不敢腐、不能腐、不想腐的有效机制。');
INSERT INTO `learn` VALUES ('124', '坚持“三会一课”制度，党员必须参加党员大会、党小组会和上党课，党支部要定期召开支部委员会会议。');
INSERT INTO `learn` VALUES ('125', '党员如果没有正当理由，连续六个月不参加党的组织生活，或不交纳党费，或不做党所分配的工作，就被认为是自行脱党。');
INSERT INTO `learn` VALUES ('126', '党的基层委员会、总支部委员会、支部委员会每届任期三年至五年。');
INSERT INTO `learn` VALUES ('127', '政治纪律是党最根本、最重要的纪律，遵守党的政治纪律是遵守党的全部纪律的基础。');
INSERT INTO `learn` VALUES ('128', '落实党风廉政建设责任制，党委负主体责任，纪委负监督责任。');
INSERT INTO `learn` VALUES ('129', '“四风问题”是指:形式主义、官僚主义、享乐主义、奢靡之风。');
INSERT INTO `learn` VALUES ('130', '党的纪律主要包括:政治纪律、组织纪律、廉洁纪律、群众纪律、工作纪律、生活纪律。');
INSERT INTO `learn` VALUES ('131', '《中国共产党纪律处分条例》强调，要重点查处党的十八大以来不收敛、不收手，问题线索反映集中、群众反映强烈，政治问题和经济问题交织的腐败案件，违反中央八项规定精神的问题。');
INSERT INTO `learn` VALUES ('132', '党的纪律处分工作应当坚持的原则有:坚持党要管党、全面从严治党；党纪面前一律平等；实事求是;民主集中制;惩前毖后、治病救人。');
INSERT INTO `learn` VALUES ('133', '对党员的纪律处分有五种:警告、严重警告、撤销党内职务、留党察看、开除党籍。');
INSERT INTO `learn` VALUES ('134', '“三型”政党是指：建设学习型、服务型、创新型的马克思主义执政党。');
INSERT INTO `learn` VALUES ('135', '四个铁一般是指：铁一般信仰、铁一般信念、铁一般纪律、铁一般担当。');
INSERT INTO `learn` VALUES ('136', '坚定理想信念是开展党内政治生活的首要任务。');
INSERT INTO `learn` VALUES ('137', '党员受到警告处分一年内、受到严重警告处分一年半内，不得在党内提升职务和向党外组织推荐担任高于其原任职务的党外职务。');
INSERT INTO `learn` VALUES ('138', '党务公开应当遵循的原则是：坚持正确方向、坚持发扬民主、坚持积极稳妥、坚持依规依法。');
INSERT INTO `learn` VALUES ('139', '党内监督的重点对象是党的领导机关和领导干部特别是主要领导干部。');
INSERT INTO `learn` VALUES ('140', '领导干部应当按规定如实报告个人有关事项，及时报告个人及家庭重大情况,事先请示报告离开岗位或者工作所在地等。');
INSERT INTO `learn` VALUES ('141', '党的问责工作应当坚持的原则是：依规依纪、实事求是，失责必问、问责必严，惩前毖后、治病救人，分级负责、层层落实责任。');
INSERT INTO `learn` VALUES ('142', '遵守党的政治纪律和政治规矩最为核心的是坚持党的领导，坚持党的基本理论、基本路线、基本方略，同党中央保持一致，自觉维护党中央权威。');
INSERT INTO `learn` VALUES ('143', '民主生活会应当遵循“团结-批评-团结”的方针，贯彻整风精神，充分发扬民主，开展积极健康的思想斗争,增强党内政治生活的政治性、时代性、原则性、战斗性。');
INSERT INTO `learn` VALUES ('144', '各级党委党组要把中心组学习列入重要议事日程，纳入党建工作责任制，纳入意识形态工作责任制。');
INSERT INTO `learn` VALUES ('145', '各级党委党组对本级中心组学习负主体责任，对本地区本部门本单位的中心组学习负领导责任。');
INSERT INTO `learn` VALUES ('146', '党的“四条路线”是指：政治路线、思想路线、组织路线、群众路线。');
INSERT INTO `learn` VALUES ('147', '党的群众路线是：一切为了群众，一切依靠群众，从群众中来，到群众中去，把党的正确主张变为群众的自觉行动。');
INSERT INTO `learn` VALUES ('148', '党的干部是党的事业的骨干，是人民的公仆，要做到忠诚干净担当。');
INSERT INTO `learn` VALUES ('149', '党章规定的各项纪律都必须严格遵守和执行，而最首要、最核心的就是要严格遵守和执行党的政治纪律。');
INSERT INTO `learn` VALUES ('150', '党内政治生活基本规范：以实事求是、理论联系实际、密切联系群众、批评与自我批评、民主集中制、严明党的纪律为主要内容。');
INSERT INTO `learn` VALUES ('151', '党的思想路线是什么？\n\n答：一切从实际出发，理论联系实际，实事求是，在实践中检验真理和发展真理。其精髓是：解放思想、实事求是、与时俱进，其实质和核心是：实事求是。');
INSERT INTO `learn` VALUES ('152', '党的民主集中制的“四个服从”是什么？\n\n答：党员个人服从党的组织，少数服从多数，下级组织服从上级组织,全党各个组织和全体党员服从党的全国代表大会和中央委员会。');
INSERT INTO `learn` VALUES ('153', '入党誓词是什么？\n\n答：我志愿加入中国共产党，拥护党的纲领，遵守党的章程，履行党员义务，执行党的决定，严守党的纪律，保守党的秘密，对党忠诚，积极工作，为共产主义奋斗终身，随时准备为党和人民牺牲一切，永不叛党。');
INSERT INTO `learn` VALUES ('154', '改进工作作风、密切联系群众的“八项规定”是什么？\n\n答：改进调查研究、精简会议活动、精简文件简报、规范出访活动、改进警卫工作、改进新闻报道、严格文稿发表、厉行勤俭节约。');
INSERT INTO `learn` VALUES ('155', '“三个代表”重要思想的本质是立党为公、执政为民。');
INSERT INTO `learn` VALUES ('156', '党委(党组)成员根据工作分工，按照“一岗双责”要求,抓好分管部门、单位的意识形态工作,对职责范围内的意识形态工作负领导责任。');
INSERT INTO `learn` VALUES ('157', '各级党委(党组)要建立健全意识形态领域问题每季度分析研判机制。每年至少在党内通报一次意识形态领域情况，统一思想认识，明确工作方向。各级党委(党组)每半年要向上级党委专题汇报一次意识形态工作。');
INSERT INTO `learn` VALUES ('158', '科学发展观的核心是以人为本。');
INSERT INTO `learn` VALUES ('159', '四大考验指的是长期执政考验、改革开放考验、市场经济考验、外部环境考验。');
INSERT INTO `learn` VALUES ('160', '四大危险是指精神懈怠危险、能力不足危险、脱离群众危险、消极腐败危险。');
INSERT INTO `learn` VALUES ('161', '八项规定包括：改进调查研究、精简会议活动、精简文件简报、规范出访活动、改进警卫工作、改进新闻报道、严格文稿发表、厉行勤俭节约。');
INSERT INTO `learn` VALUES ('162', '民主集中制 16 字原则：集体领导、民主集中、个别酝酿、会议决定。');
INSERT INTO `learn` VALUES ('163', '党风廉政建设“一岗双责”是指：各级干部在履行本职岗位管理职责的同时，还要对所在单位和分管工作领域的党风廉政建设负责。通俗地说，就是“一个岗位，两种责任”，每位干部既要干事，还不能出事，一手抓发展，一手抓廉政，“两手抓、两手都要硬”。');
INSERT INTO `learn` VALUES ('164', '七项组织生活制度包括：会议制度、党日制度、党课制度、报告工作制度、民主生活制度、党员汇报制度、民主评议党员制度。');
INSERT INTO `learn` VALUES ('165', '三重一大制度包括：重大事项决策、重要干部任免、重大项目投资决策、大额资金使用。');
INSERT INTO `learn` VALUES ('166', '四项基本原则：坚持社会主义道路、坚持人民民主专政、坚持中国共产党的领导、坚持马克思列宁主义毛泽东思想。');
INSERT INTO `learn` VALUES ('167', '在民主推荐、民主测评、组织考察和党内选举中搞拉票、助选等非组织活动的，给予警告或者严重警告。');
INSERT INTO `learn` VALUES ('168', '坚持正确选人用人导向，是严肃党内政治生活的组织保证。');
INSERT INTO `learn` VALUES ('169', '党的基层委员会由党员大会或党员代表大会选举产生，每届任期一般为3年至5年。');
INSERT INTO `learn` VALUES ('170', '在党员教育工作中，要深入学习领会习近平新时代中国特色社会主义思想的核心要义、基本精神、实践要求，增强政治自觉、理论自信和情感融入。');
INSERT INTO `learn` VALUES ('171', '倡导社会关爱风尚，弘扬志愿者精神是指弘扬奉献、友爱、互助、进步。');
INSERT INTO `learn` VALUES ('172', '社会主义荣辱观以“八荣八耻”为主要内容。');
INSERT INTO `learn` VALUES ('173', '《中国共产党问责条例》规定，受到问责的党的领导干部应当向问责决定机关写出书面检讨，并在民主生活会或者其他党的会议上作出深刻检查。');
INSERT INTO `learn` VALUES ('174', '党的领导核心作用主要体现为总揽全局、协调各方。');
INSERT INTO `learn` VALUES ('175', '《党章》规定，发展党员，必须把政治标准放在首位，必须经过党的支部，坚持个别吸收的原则。');
INSERT INTO `learn` VALUES ('176', '《中国共产党廉洁自律准则》第四条，坚持吃苦在前、享受在后、甘于奉献，反映了廉洁的高线。');
INSERT INTO `learn` VALUES ('177', '留党察看期间，受处分党员不享有表决权、选举权、被选举权。');
INSERT INTO `learn` VALUES ('178', '根据《党委（党组）落实全面从严治党主体责任规定》，地方党委应将党的建设与经济社会发展同谋划、同部署、同推进、同考核，加强对本地区全面从严治党各项工作的领导。');
INSERT INTO `learn` VALUES ('179', '中国共产党领导全国各族人民，经过长期的反对帝国主义、封建主义、官僚资本主义的革命斗争，取得了新民主主义革命的胜利。');
INSERT INTO `learn` VALUES ('180', '建设社会主义生态文明，要坚持节约优先、保护优先、自然恢复为主的方针。');
INSERT INTO `learn` VALUES ('181', '严格区分和正确处理敌我矛盾和人民内部矛盾这两种不同性质的矛盾。');
INSERT INTO `learn` VALUES ('182', '《中国共产党党和国家机关基层组织工作条例》指出，各级党委（党组）要切实履行全面从严治党主体责任，把机关党的建设摆在重要位置来抓，推动机关党的建设始终走在前、作表率。');
INSERT INTO `learn` VALUES ('183', '《关于加强和改进中央和国家机关党的建设的意见》指出，中央和国家机关要坚定不移向党中央看齐、向党的理论和路线方针政策看齐、向党中央决策部署看齐，自觉在思想上政治上组织上行动上同以习近平同志为核心的党中央保持一致。');
INSERT INTO `learn` VALUES ('184', '三个表率、一个模范：2019年7月9日，习近平总书记在中央和国家机关党的建设工作会议上要求，全面提高中央和国家机关党的建设质量，在深入学习贯彻新时代中国特色社会主义思想上作表率，在始终同党中央保持高度一致上作表率，在坚决贯彻落实党中央各项决策部署上作表率，建设让党中央放心、让人民群众满意的模范机关。');
INSERT INTO `learn` VALUES ('185', '“四强”党支部：2019年，中央和国家机关工委提出，深入贯彻落实习近平总书记在中央和国家机关党的建设工作会议上重要讲话精神，在中央和国家机关建设“政治功能强、支部班子强、党员队伍强、作用发挥强”的“四强”党支部。');
INSERT INTO `learn` VALUES ('186', '一体推进“三不”：2019年1月11日，习近平总书记在十九届中央纪委三次全会上作出论述，“深化标本兼治，夯实治本基础，一体推进不敢腐、不能腐、不想腐。”是对新时代党风廉政建设和反腐败斗争规律的深刻把握，也是对新时代全面从严治党提出的明确要求。');
INSERT INTO `learn` VALUES ('187', '两个责任：党的十八届中央委员会第三次全体会议提出，落实党风廉政建设责任制，党委负主体责任，纪委负监督责任。');
INSERT INTO `learn` VALUES ('188', '一岗双责：领导干部既要对所在岗位应当承担的具体业务工作负责，又要对所在岗位应当承担的党风廉政建设负责。');
INSERT INTO `learn` VALUES ('189', '请示报告制度：请示报告制度是我们党的一项重要政治纪律、组织纪律、工作纪律，是执行民主集中制的有效工作机制。中国共产党重大事项请示报告条例（自2019年1月31日起施行）规定，党组织应当将重大事项请示报告工作情况作为履行全面从严治党政治责任的重要内容，对下级党组织及其主要负责同志进行考核评价。');
INSERT INTO `learn` VALUES ('190', '“四不两直”工作方法：不发通知、不打招呼、不听汇报、不用陪同接待，直奔基层、直插现场。');
INSERT INTO `learn` VALUES ('191', '领导干部报告个人有关事项“两项法规”：中央办公厅、国务院办公厅印发的《领导干部报告个人有关事项规定》《领导干部个人有关事项报告查核结果处理办法》。');
INSERT INTO `learn` VALUES ('192', '机关党的建设“三级四岗”责任清单：党委（党组）责任清单、机关党委责任清单、党支部责任清单，党组（党委）书记责任清单、机关党委书记责任清单、机关党委专职副书记责任清单、党支部书记责任清单。');
INSERT INTO `learn` VALUES ('193', '五比五不比：省委书记王国生在2018年6月29日至30日召开的省委十届六次全会上提出“五比五不比”要求，即：比谁对中央精神吃得更透、把得更准，不比谁会开得最快、材料报得最早；比谁的增长点多，不比谁的“亮点”多；比谁的工作抓手多、载体实、方法新，不比谁的口号响、表态多；比领导班子整体合力，不只比个人能力；比攻坚克难的战斗力、解决矛盾的执行力，不比轰轰烈烈的大场面，以领导方式、思维方式、工作方式的转变推动中央精神的贯彻落实。');
INSERT INTO `learn` VALUES ('194', '五转五带头：省委书记王国生在2019年4月28日至30日召开的省委十届九次全会上提出“五转五带头”要求，即：转学风、转政绩观、转权责观、转领导方式、转工作方法；带头把学习习近平新时代中国特色社会主义思想和党的十九大精神引向深入，带头树立正确政绩观，带头转变思维方式、工作方式，带头树立良好形象，带头为基层松绑减负。');
INSERT INTO `learn` VALUES ('195', '三个导向、三抓、三种能力：省委书记王国生在2021年3月16日召开的党委（党组）书记抓基层党建工作述职评议会议上提出，要强化抓好党建是本职、不抓党建是失职、抓不好党建是不称职的理念，树牢基层导向、问题导向、责任导向，始终坚持抓在平时、用在战时，紧扣中心工作，紧贴基层实际，扛牢责任主动抓，聚焦问题具体抓，提高标准创新抓，不断提高基层干部讲政治、抓落实的能力，贯彻新发展理念、推动乡村振兴的能力，联系服务群众、创新社会治理的能力。');
INSERT INTO `learn` VALUES ('196', '五比一争：比忠诚、比学习、比担当、比作风、比实绩,争当中原出彩先锋。');
INSERT INTO `learn` VALUES ('197', '模范机关：以营造“三个氛围”为主题，着力打造政治忠诚、组织过硬、务实清廉、争先出彩的模范机关。');
INSERT INTO `learn` VALUES ('198', '五种学习方式：平时抓紧自学、以会代训领学、进党校高校讲课、沉到基层宣讲、在交流中互学。');
INSERT INTO `learn` VALUES ('199', '“四史”：党史、新中国史、改革开放史、社会主义发展史。');
INSERT INTO `learn` VALUES ('200', ' 第一个中文全译本《共产党宣言》是陈望道翻译，1920年8月由上海社会主义研究社出版。');
INSERT INTO `learn` VALUES ('201', '1919年，李大钊在《新青年》杂志发表了《我的马克思主义观》一文，系统地介绍了马克思主义的唯物史观、政治经济学和科学社会主义的基本原理。');
INSERT INTO `learn` VALUES ('202', '中国共产党第一次全国代表大会1921年7月23日举行，会场设在上海法租界望志路106号（今兴业路76号）。最后一天的会议转移到浙江嘉兴南湖的游船上举行。');
INSERT INTO `learn` VALUES ('203', '在中国共产党第一次全国代表大会上陈独秀被选为中央局书记。');
INSERT INTO `learn` VALUES ('204', '中国共产党第一次全国代表大会的中心议题是正式建立中国共产党。');
INSERT INTO `learn` VALUES ('205', '红船精神：开天辟地、敢为人先。');
INSERT INTO `learn` VALUES ('206', '党的二大于1922年7月16日至23日，在上海召开。');
INSERT INTO `learn` VALUES ('207', '七一五“分共”事件，标志着第一次国共合作全面破裂、大革命最后失败。');
INSERT INTO `learn` VALUES ('208', '南昌起义打响了武装反抗国民党反动派的第一枪，标志着中国共产党独立领导革命战争、创建人民军队和武装夺取政权的开始。');
INSERT INTO `learn` VALUES ('209', ' 中国共产党创立的第一块农村革命根据地是井冈山革命根据地。1927年10月，毛泽东率领湘赣边界秋收起义部队到达江西宁冈，开始了创建井冈山革命根据地的斗争。');
INSERT INTO `learn` VALUES ('210', '三湾改编从组织上确立了党对军队的绝对领导,为建立一支无产阶级领导下的新型人民军队奠定了基础。');
INSERT INTO `learn` VALUES ('211', '八七会议1927年8月7日在湖北汉口召开。“政权是由枪杆子中取得的”这一论断是毛泽东在“八七会议”上提出来的。');
INSERT INTO `learn` VALUES ('212', '1928年6月18日至7月11日,中国共产党第六次全国代表大会在莫斯科郊外的五一村召开。');
INSERT INTO `learn` VALUES ('213', '红军长征1934年10月起至1936年10月止。');
INSERT INTO `learn` VALUES ('214', '1935年1月15日至17日，遵义会议召开。遵义会议的主要内容：批判了博古、李德等人错误的政治路线和军事路线，肯定了毛泽东的军事作战基本原则，改组了党和红军的领导，实际上确立了毛泽东在党和红军中的领导地位。');
INSERT INTO `learn` VALUES ('215', '1935年12月17日召开的瓦窑堡会议的内容是：会议着重讨论了全国政治形势和党的策略路线、军事战略，确立了建立抗日民族统一战线的新策略，并相应地调整了各项具体政策。会议通过《中央关于军事战略问题的决议》和《中央关于目前政治形势与党的任务决议》。');
INSERT INTO `learn` VALUES ('216', '1936年10月，红四、红二方面军先后同红一方面军在甘肃会宁、静宁将台堡会师，胜利地结束了长征。');
INSERT INTO `learn` VALUES ('217', '1936年12月12日西安事变发生。标志着中国由国内战争走向抗日民族解放战争的转折点的事件是西安事变的和平解决。');
INSERT INTO `learn` VALUES ('218', '1937年7月7日,卢沟桥事变爆发,全国抗日战争由此开始。');
INSERT INTO `learn` VALUES ('219', '1942年,中国共产党在全党范围内进行了一次整风运动,其主要任务是反对主观主义以整顿学风,反对宗派主义以整顿党风,反对党八股以整顿文风。');
INSERT INTO `learn` VALUES ('220', '延安整风运动的基本方针是“惩前毖后、治病救人”。');
INSERT INTO `learn` VALUES ('221', '皖南事变：1941年1月4日，新四军军部及所属的支队9000多人由云岭出发北移。6日，行至安徽泾县茂林时，遭到国民党军队8万多人的伏击。新四军奋战七昼夜，弹尽粮绝，除2000余人突围外，大部分被俘或牺牲。');
INSERT INTO `learn` VALUES ('222', '1945年4月23日至6月11日，党的七大在延安举行。这次会议将毛泽东思想作为党的指导思想写入党章。党的七大提出的党的任务是：放手发动群众，壮大人民力量，领导人民打败日本侵略者，解放全国人民，建立一个独立、自由、民主、统一、富强的新中国。');
INSERT INTO `learn` VALUES ('223', '“毛泽东思想”这一概念的提出者是王稼祥。');
INSERT INTO `learn` VALUES ('224', '党的七大提出的党的三大作风是：理论和实践相结合的作风、和人民群众紧密联系在一起的作风、自我批评的作风。');
INSERT INTO `learn` VALUES ('225', '抗日战争是近百年来中国人民反对外国侵略者所取得的第一次完全胜利的民族解放战争。');
INSERT INTO `learn` VALUES ('226', '解放战争中的三大战役：辽沈战役、淮海战役、平津战役。历时最长、规模最大、歼敌数量最多的是淮海战役。');
INSERT INTO `learn` VALUES ('227', '1949年3月,中共中央在西北坡召开七届二中全会,毛泽东在会上向全党同志提出了著名的“两个务必”思想。会议着重讨论党的工作重心实行战略转移，即从乡村转到城市的问题。');
INSERT INTO `learn` VALUES ('228', '“两个务必”是：务必继续保持谦虚、谨慎、不骄、不躁的作风，务必继续保持艰苦奋斗的作风。');
INSERT INTO `learn` VALUES ('229', '在解放区的土地改革运动中颁布的土地法案是《中国土地法大纲》。');
INSERT INTO `learn` VALUES ('230', '解放战争时期,人民解放军进行战略决战的三大战役是辽沈、淮海、平津战役。');
INSERT INTO `learn` VALUES ('231', '新中国开展的“三反”运动是指反贪污、反浪费、反官僚主义。');
INSERT INTO `learn` VALUES ('232', '“五反”运动：反对行贿、反对偷税漏税、反对盗骗国家财产、反对偷工减料、反对盗窃国家经济情报。');
INSERT INTO `learn` VALUES ('233', '1954年9月，第一届全国人民代表大会第一次会议在北京举行。会议的召开，标志着人民代表大会制度作为新中国的根本政治制度正式确立。');
INSERT INTO `learn` VALUES ('234', '1956年9月15日至27日在北京政协礼堂召开的中国共产党第八次全国代表大会是新中国成立之后召开的第一个全国代表大会。党的八大，正确分析了社会主义社会制度基本建立之后国内外形势和国内主要矛盾的变化，强调社会主义改造基本完成后，党和国家面临的最重要的任务是保护和发展生产力。');
INSERT INTO `learn` VALUES ('235', '我国社会主义初级阶段开始于1956年。');
INSERT INTO `learn` VALUES ('236', '1958年5月，党的八大二次会议正式提出“鼓足干劲、力争上游、多快好省地建设社会主义”的总路线。会后，以片面追求工农业生产和建设的高速度，大幅度地提高和修改计划指标为标志的“大跃进”运动在全国范围内开展起来。');
INSERT INTO `learn` VALUES ('237', '20世纪60年代被誉为“党的好干部”的是：焦裕禄。');
INSERT INTO `learn` VALUES ('238', '全国开展“向雷锋同志学习”的热潮始于1963年。');
INSERT INTO `learn` VALUES ('239', '1964年10月16日，在中国西部的罗布泊试验基地成功爆炸第一颗原子弹，有力地打破了超级大国的核垄断和核讹诈，提高了我国的国际地位。');
INSERT INTO `learn` VALUES ('240', '1964年12月至1965年1月，三届全国人大一次会议举行。这次会议提出了实现四个现代化的任务。');
INSERT INTO `learn` VALUES ('241', '1977年高考制度得到恢复，全国高校重新通过统一考试招收新生。');
INSERT INTO `learn` VALUES ('242', '1978年5月11日，《光明日报》发表题为《实践是检验真理的唯一标准》特约评论员文章。由此，一场关于真理标准问题的大讨论在全国展开。');
INSERT INTO `learn` VALUES ('243', '1978年12月13日，邓小平在中央工作会议上发表的《解放思想，实事求是，团结一致向前看》的讲话，受到与会者热烈拥护，实际上成为随后召开的十一届三中全会的主题报告。');
INSERT INTO `learn` VALUES ('244', '1978年12月召开的党的十一届三中全会，是新中国成立以来党的历史上具有深远意义的伟大转折。这次会议确定把全党的工作重点转移到社会主义现代化建设上来。标志着我国进入改革开放新时期。');
INSERT INTO `learn` VALUES ('245', '党的十一届六中全会通过的《关于建国以来党的若干历史问题的决议》 ,标志着党胜利地完成了指导思想上的拨乱反正。');
INSERT INTO `learn` VALUES ('246', '党的十四大作出三项具有深远意义的决策:一是抓住机遇,加快发展;二是明确我国经济体制改革的目标是建立社会主义市场经济体制;三是提出用邓小平建设有中国特色社会主义理论武装全党。');
INSERT INTO `learn` VALUES ('247', '党在社会主义初级阶段的基本路线是：领导和团结全国各族人民，以经济建设为中心，坚持四项基本原则，坚持改革开放，自力更生，艰苦创业，为把我国建设成为富强、民主、文明、和谐、美丽的社会主义现代化强国而奋斗。');
INSERT INTO `learn` VALUES ('248', '邓小平提出的四项基本原则是：坚持社会主义道路，坚持无产阶级专政即人民民主专政，坚持共产党的领导，坚持马列主义、毛泽东思想。');
INSERT INTO `learn` VALUES ('249', '党的十一届五中全会通过了《关于党内政治生活的若干准则》。');
INSERT INTO `learn` VALUES ('250', '1981年6月，党的十一届六中全会通过《关于建国以来党的若干历史问题的决议》，标志着党在指导思想上的拨乱反正胜利完成。');
INSERT INTO `learn` VALUES ('251', '1982年9月，邓小平在党的十二大开幕词中明确提出：“把马克思主义的普遍真理同我国的具体实际结合起来，走自己的道路，建设有中国特色的社会主义”。');
INSERT INTO `learn` VALUES ('252', '1984年10月20日，党的十二届三中全会通过的《关于经济体制改革的决定》，标志着我国经济体制改革的重点从农村转向城市。');
INSERT INTO `learn` VALUES ('253', '1987年召开的党的十三大提出并系统论述了社会主义初级阶段理论。');
INSERT INTO `learn` VALUES ('254', '1997年7月1日,香港回归祖国,标志着邓小平“一国两制”构想获得巨大成功。');
INSERT INTO `learn` VALUES ('255', '1999年12月20日，中国政府恢复对澳门行使主权，中华人民共和国澳门特别行政区成立，结束了葡萄牙共和国统治澳门的历史。');
INSERT INTO `learn` VALUES ('256', '把习近平新时代中国特色社会主义思想确立为我们党的行动指南，这是党的十九大的一个重大历史贡献。习近平新时代中国特色社会主义思想回答了新时代坚持和发展什么样的中国特色社会主义、怎样坚持和发展中国特色社会主义这个重大课题。');
INSERT INTO `learn` VALUES ('257', '十九大党章增写了必须坚持以人民为中心的发展思想。');
INSERT INTO `learn` VALUES ('258', '2020年1月8日，习近平总书记在“不忘初心、牢记使命”主题教育总结大会上强调，强大的政党是在自我革命中锻造出来的。回顾党的历史，我们党总是在推动社会革命的同时，勇于推动自我革命，始终坚持真理、修正错误，敢于正视问题、克服缺点，勇于刮骨疗毒、去腐生肌。');
INSERT INTO `learn` VALUES ('259', '党的十九届五中全会召开的时间：2020年10月26至29日。');
INSERT INTO `learn` VALUES ('260', '为什么说党的十九届五中全会是一次具有全局性、历史性意义的重要会议？\n\n答：这次全会是我们党在全面建成小康社会胜利在望、全面建设社会主义现代化国家新征程即将开启的重要历史时刻召开的一次十分重要的会议，是在我国将进入新发展阶段、实现中华民族伟大复兴正处于关键时期召开的一次具有全局性、历史性意义的会议。\n');
INSERT INTO `learn` VALUES ('261', '全会最重要的成果，就是审议通过了《中共中央关于制定国民经济和社会发展第十四个五年规划和二〇三五年远景目标的建议》。规划《建议》是开启全面建设社会主义现代化国家新征程、向第二个百年奋斗目标进军的纲领性文件，是今后5年乃至更长时期我国经济社会发展的行动指南。');
INSERT INTO `learn` VALUES ('262', '党的十九届五中全会提出，全面建成小康社会、实现第一个百年奋斗目标之后，我们要乘势而上开启全面建设社会主义现代化国家新征程、向第二个百年奋斗目标进军，这标志着我国进入了一个新发展阶段。');
INSERT INTO `learn` VALUES ('263', '党的十九届五中全会提出，综合分析国内外形势，当前和今后一个时期，我国发展仍然处于重要战略机遇期，但机遇和挑战都有新的发展变化。');
INSERT INTO `learn` VALUES ('264', '“十四五”时期经济社会发展的指导思想是：高举中国特色社会主义伟大旗帜，深入贯彻党的十九大和十九届二中、三中、四中、五中全会精神，坚持以马克思列宁主义、毛泽东思想、邓小平理论、“三个代表”重要思想、科学发展观、习近平新时代中国特色社会主义思想为指导。');
INSERT INTO `learn` VALUES ('265', '“十四五”时期经济社会发展必须遵循的原则是：坚持党的全面领导，坚持以人民为中心，坚持新发展理念，坚持深化改革开放，坚持系统观念。');
INSERT INTO `learn` VALUES ('266', '“十四五”时期经济社会发展的主要目标。一是经济发展取得新成效；二是改革开放迈出新步伐；三是社会文明程度得到新提高；四是生态文明建设实现新进步；五是民生福祉达到新水平；六是国家治理效能得到新提升。');
INSERT INTO `learn` VALUES ('267', '党的十九届五中全会提出，坚持马克思主义在意识形态领域的指导地位，坚定文化自信，坚持以社会主义核心价值观引领文化建设，加强社会主义精神文明建设，围绕举旗帜、聚民心、育新人、兴文化、展形象的使命任务，促进满足人民文化需求和增强人民精神力量相统一，推进社会主义文化强国建设。');
INSERT INTO `learn` VALUES ('268', '党的十九届五中全会提出，形成强大国内市场，构建新发展格局。坚持扩大内需这个战略基点，加快培育完整内需体系，把实施扩大内需战略同深化供给侧结构性改革有机结合起来，以创新驱动、高质量供给引领和创造新需求。');
INSERT INTO `learn` VALUES ('269', '习近平总书记要求河南着力打好哪“四张牌”？\n\n答：以发展优势产业为主导推进产业结构优化升级，以构建自主创新体系为主导推进创新驱动发展，以强化基础能力建设为主导推进培育发展新优势，以人为核心推进新型城镇化。');
INSERT INTO `learn` VALUES ('270', '习近平总书记强调的县域治理“三起来”是指什么？\n\n答：把强县和富民统一起来，把改革和发展结合起来，把城镇和乡村贯通起来。');
INSERT INTO `learn` VALUES ('271', '习近平总书记强调的乡镇工作“三结合”是指什么？\n\n答：把改进作风和增强党性结合起来，把为群众办事和提高群众工作能力结合起来，把抓发展和抓党建结合起来，以实实在在的成效取信于民。');
INSERT INTO `learn` VALUES ('272', '习近平总书记指出，河南农业农村工作重点要抓粮食生产、现代农业建设、城乡一体化建设。');
INSERT INTO `learn` VALUES ('273', '习近平总书记指出，粮食生产是河南的一大优势，也是河南的一张王牌。这张王牌任何时候都不能丢。突破粮食生产瓶颈，根本在耕地、命脉在水利、出路在科技、动力在政策。');
INSERT INTO `learn` VALUES ('274', '在构建自主创新体系为主导推进创新驱动发展方面，习近平总书记指出，要坚持实施创新驱动发展战略，坚持需求导向、问题导向，努力推进科技创新、企业创新、产品创新、市场创新，向创新要活力，向创新要动力，向创新要出路，向创新要效益。');
INSERT INTO `learn` VALUES ('275', '在强化基础能力建设为主导推进培育发展新优势方面，习近平总书记指出，要突出重点、弥补短板、强化弱项，加强交通、信息、能源、生态环境等重大基础设施建设，以基础设施互联互通为纽带，推动局部优势向综合优势转变。');
INSERT INTO `learn` VALUES ('276', '习近平总书记指出，在以人为核心推进新型城镇化方面，要把培育产业放在推进新型城镇化工作的首位，注重解决进城农民就业问题。');
INSERT INTO `learn` VALUES ('277', '习近平总书记在郑州调研过程中多次指出，河南要建成连通境内外、辐射东中西的物流通道枢纽，为丝绸之路经济带建设多作贡献；勉励河南要朝着“买全球、卖全球”的战略目标迈进。');
INSERT INTO `learn` VALUES ('278', '习近平总书记指出，作风建设关键要在抓常、抓细、抓长上下功夫。');
INSERT INTO `learn` VALUES ('279', '习近平总书记要求要学习焦裕禄同志的“三股劲”是：对群众的亲劲、抓工作的韧劲、干事业的拼劲。');
INSERT INTO `learn` VALUES ('280', '习近平总书记指出，要强化党组织和党员的角色意识和政治担当意识,使爱党、忧党、兴党、护党成为各级党组织和广大党员的自觉行动。');
INSERT INTO `learn` VALUES ('281', '习近平总书记指出，亲民爱民、艰苦奋斗、科学求实、迎难而上、无私奉献的焦裕禄精神,过去是、现在是、将来仍然是我们党的宝贵精神财富,永远不会过时。');
INSERT INTO `learn` VALUES ('282', '习近平总书记在兰考县委常委扩大会议上指出，要特别学习弘扬焦裕禄同志“心中装着全体人民，唯独没有他自己”的公仆情怀;凡事探求就里、“吃别人嚼过的馍没味道”的求实作风;“敢教日月换新天”、“革命者要在困难面前逞英雄”的奋斗精神;艰苦朴素、廉洁奉公、“任何时候都不搞特殊化”的道德情操。');
INSERT INTO `learn` VALUES ('283', '2017年6月14日，习近平总书记在会见卢森堡首相贝泰尔时指出，要深化双方在“一带一路”建设框架内金融和产能等合作，中方支持建设郑州一卢森堡“空中丝绸之路”。');
INSERT INTO `learn` VALUES ('284', '习近平总书记在调研指导河南工作时提出的“四个着力”是什么？\n答：着力推动经济持续健康发展，着力做好农业农村农民工作，着力保障和改善民生，着力建设德才兼备的高素质执政骨干队伍。\n');
INSERT INTO `learn` VALUES ('285', '习近平总书记在中央办公厅回访河南的调研报告上作出的重要批示的内容是什么？\n\n答：河南各级党组织要把作风转变的好势头保持下去，强化管党治党意识，在加强基层组织建设，发挥党组织战斗堡垒作用和共产党员先锋模范作用，提高基层干部带领群众致富、做好群众工作的能力上下功夫，下力气解决污染政治生态的各种问题，积极探索加强和改进党的作风建设规律，形成从严治党的长效机制。');
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INSERT INTO `question` VALUES ('1', '习近平总书记要求党的高级干部必须做到信念过硬、#过硬、责任过硬、能力过硬、作风过硬。', '政治', 'A');
INSERT INTO `question` VALUES ('5', '乡村振兴战略的总要求是：产业兴旺、生态宜居、#、治理有效、生活富裕。', '乡风文明', 'A');
INSERT INTO `question` VALUES ('3', '中国共产党同各民主党派实行长期共存、互相监督、#、荣辱与共的基本方针。', '肝胆相照', 'A');
INSERT INTO `question` VALUES ('4', '实现中国梦必须走中国道路，必须弘扬#，必须凝聚中国力量。', '中国精神', 'A');
INSERT INTO `question` VALUES ('2', '党的十九大精神的灵魂和主线是:#。', '习近平新时代中国特色社会主义思想', 'A');
INSERT INTO `question` VALUES ('6', '发展是解决我国一切问题的基础和关键，发展必须是科学发展，必须坚定不移贯彻创新、协调、#、开放、共享的发展理念。', '绿色', 'A');
INSERT INTO `question` VALUES ('7', '高质量发展集中体现了坚持以提高#和效益为中心，是为了更好满足人民日益增长的美好生活需要的发展，是体现新发展理念的发展。', '发展质量', 'A');
INSERT INTO `question` VALUES ('8', '走中国特色社会主义政治发展道路，必须坚持#、人民当家作主、依法治国的有机统一。', '党的领导', 'A');
INSERT INTO `question` VALUES ('9', '我们党只有勇于直面问题，不断增强党自我净化、自我完善、#、自我提高的能力,才能确保党拥有旺盛的生命力和强大的战斗力。', '自我革新', 'A');
INSERT INTO `question` VALUES ('10', '坚持#和集中统一领导是党的政治建设的首要任务。', '党中央权威', 'A');
INSERT INTO `question` VALUES ('11', '推进#结构性改革是当前和今后一个时期经济发展和经济工作的主线。', '供给侧', 'A');
INSERT INTO `question` VALUES ('12', '“一带一路”是指：丝绸之路经济带和#。要着力把“一带一路”建成和平之路、繁荣之路、开放之路、创新之路、文明之路。', '21世纪海上丝绸之路', 'A');
INSERT INTO `question` VALUES ('13', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好政治安全、国土安全、#安全、社会安全、网络安全、外部安全等重点领域的国家安全工作。', '经济', 'A');
INSERT INTO `question` VALUES ('14', '保障和改善民生要抓住人民最关心最直接最现实的利益问题，既要#，又要量力而行，一件事情接着一件事情办，一年接着一年干。', '尽力而为', 'A');
INSERT INTO `question` VALUES ('15', '党面临的“四种危险”是：精神懈怠的危险、#的危险、脱离群众的危险、消极腐败的危险。', '能力不足', 'A');
INSERT INTO `question` VALUES ('16', '新时代党的建设的主线是：加强党的#能力建设、先进性和纯洁性建设。', '长期执政', 'A');
INSERT INTO `question` VALUES ('17', '乡村振兴战略的总要求是：产业兴旺、生态宜居、乡风文明、治理有效、#。', '生活富裕', 'A');
INSERT INTO `question` VALUES ('18', '党面临的“四种危险”是：精神懈怠的危险、能力不足的危险、#的危险、消极腐败的危险。', '脱离群众', 'A');
INSERT INTO `question` VALUES ('19', '近代以来中华民族最伟大的梦想是：实现#。', '中华民族伟大复兴', 'A');
INSERT INTO `question` VALUES ('20', '#是决定当代中国命运的关键一招,也是决定实现“两个一百年”奋斗目标、实现中华民族伟大复兴的关键一招。', '改革开放', 'A');
INSERT INTO `question` VALUES ('21', '“四个自信”即：中国特色社会主义道路自信、理论自信、制度自信、#。', '文化自信', 'A');
INSERT INTO `question` VALUES ('22', '五大文明是指：物质文明、政治文明、精神文明、社会文明、#文明', '生态', 'A');
INSERT INTO `question` VALUES ('23', '“四个意识”即:政治意识、大局意识、核心意识、#。', '看齐意识', 'A');
INSERT INTO `question` VALUES ('24', '我国社会主要矛盾已经转化为人民日益增长的美好生活需要和#的发展之间的矛盾。', '不平衡不充分', 'A');
INSERT INTO `question` VALUES ('25', '习近平总书记强调的三个“一以贯之”是指：坚持和发展中国特色社会主义要一以贯之，推进党的建设新的伟大工程要一以贯之,增强忧患意识、#要一以贯之。', '防范风险挑战', 'A');
INSERT INTO `question` VALUES ('26', '“四个自信”即：中国特色社会主义#、理论自信、制度自信、文化自信。', '道路自信', 'A');
INSERT INTO `question` VALUES ('27', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好政治安全、国土安全、经济安全、社会安全、#安全、外部安全等重点领域的国家安全工作。', '网络', 'A');
INSERT INTO `question` VALUES ('28', '中国共产党同各民主党派实行长期共存、互相监督、肝胆相照、#的基本方针。', '荣辱与共', 'A');
INSERT INTO `question` VALUES ('29', '党的十九大把#确立为党必须长期坚持的指导思想并写进党章，实现了党的指导思想的与时俱进。', '习近平新时代中国特色社会主义思想', 'A');
INSERT INTO `question` VALUES ('30', '我们党既要政治过硬，也要本领高强，要增强学习本领、#本领、改革创新本领、科学发展本领、依法执政本领、群众工作本领、狠抓落实本领、驾驭风险本领。', '政治领导', 'A');
INSERT INTO `question` VALUES ('31', '“五位一体”总体布局是指:经济建设、政治建设、文化建设、社会建设、#建设。', '生态文明', 'A');
INSERT INTO `question` VALUES ('32', '习近平总书记指出，中国人民是具有伟大创造精神的人民,具有伟大奋斗精神的人民,具有#精神的人民,具有伟大梦想精神的人民。', '伟大团结', 'A');
INSERT INTO `question` VALUES ('33', '历史和现实反复证明，能否做好意识形态工作，事关党的前途命运，事关#，事关民族凝聚力和向心力。', '国家长治久安', 'A');
INSERT INTO `question` VALUES ('34', '新时代我国法治建设的指导方针是:#、严格执法、公正司法、全民守法。', '科学立法', 'A');
INSERT INTO `question` VALUES ('35', '#已经成为意识形态斗争的主战场、主阵地、最前沿,网络意识形态工作是意识形态工作的重中之重。', '互联网', 'A');
INSERT INTO `question` VALUES ('36', '供给侧结构性改革的“三去一降一补”是指：去#、去库存、去杠杆、降成本、补短板。', '产能', 'A');
INSERT INTO `question` VALUES ('37', '经过长期的努力，中国特色社会主义进入了#，这是我国发展新的历史方位。', '新时代', 'A');
INSERT INTO `question` VALUES ('38', '“两个维护”是指坚决维护习近平总书记#的核心、全党的核心地位，坚决维护党中央权威和集中统一领导。', '党中央', 'A');
INSERT INTO `question` VALUES ('39', '我国社会主要矛盾的变化，没有改变我们对我国社会主义所处历史阶段的判断，我国仍处于并将长期处于社会主义初级阶段的基本国情没有变，我国是世界最大#的国际地位没有变。', '发展中国家', 'A');
INSERT INTO `question` VALUES ('40', '近平新时代中国特色社会主义思想的历史地位是：是对马克思列宁主义、毛泽东思想、邓小平理论、“三个代表”重要思想、#的继承和发展，是马克思主义中国化最新成果，是党和人民实践经验和集体智慧的结晶，是中国特色社会主义理论体系的重要组成部分，是全党全国人民为实现中华民族伟大复兴而奋斗的行动指南。', '科学发展观', 'A');
INSERT INTO `question` VALUES ('41', '习近平总书记指出，中国人民是具有伟大创造精神的人民,具有伟大奋斗精神的人民,具有伟大团结精神的人民,具有#精神的人民。', '伟大梦想', 'A');
INSERT INTO `question` VALUES ('42', '供给侧结构性改革的“三去一降一补”是指：去产能、去#、去杠杆、降成本、补短板。', '库存', 'A');
INSERT INTO `question` VALUES ('43', '实现全面建成小康社会奋斗目标，实现中华民族伟大复兴的中国梦，关键在于培养造就一支具有铁一般信仰、铁一般信念、铁一般纪律、铁一般#的干部队伍。', '担当', 'A');
INSERT INTO `question` VALUES ('44', '改进党的领导方式。着眼于党把方向、谋大局、定政策、促改革，强化战略思维、创新思维、辩证思维、法治思维、底线思维，正确制定和坚决执行党的路线方针政策，不断增强党的#、思想引领力、群众组织力、社会号召力。', '政治领导力', 'A');
INSERT INTO `question` VALUES ('45', '领导干部要带头学理论、强信念，筑牢信仰之基，#，把稳思想之舵。', '补足精神之钙', 'A');
INSERT INTO `question` VALUES ('46', '创新是引领发展的第一动力，协调是持续健康发展的内在要求，绿色是永续发展的必要条件，开放是国家繁荣发展的必由之路，共享是中国特色社会主义的本质要求。', '', 'A');
INSERT INTO `question` VALUES ('47', '中国共产党同各民主党派实行长期共存、#、肝胆相照、荣辱与共的基本方针。', '互相监督', 'A');
INSERT INTO `question` VALUES ('48', '“一带一路”是指：#和21世纪海上丝绸之路。要着力把“一带一路”建成和平之路、繁荣之路、开放之路、创新之路、文明之路。', '丝绸之路经济带', 'A');
INSERT INTO `question` VALUES ('49', '“五位一体”总体布局是指:经济建设、政治建设、#建设、社会建设、生态文明建设。', '文化', 'A');
INSERT INTO `question` VALUES ('50', '近平新时代中国特色社会主义思想的历史地位是：是对马克思列宁主义、#、邓小平理论、“三个代表”重要思想、科学发展观的继承和发展，是马克思主义中国化最新成果，是党和人民实践经验和集体智慧的结晶，是中国特色社会主义理论体系的重要组成部分，是全党全国人民为实现中华民族伟大复兴而奋斗的行动指南。', '毛泽东思想', 'A');
INSERT INTO `question` VALUES ('51', '实现全面建成小康社会奋斗目标，实现中华民族伟大复兴的中国梦，关键在于培养造就一支具有铁一般#、铁一般信念、铁一般纪律、铁一般担当的干部队伍。', '信仰', 'A');
INSERT INTO `question` VALUES ('52', '全面建成小康社会决胜期的“三大攻坚战”是指：坚决打好防范化解重大风险、精准脱贫、#的攻坚战。', '污染防治', 'A');
INSERT INTO `question` VALUES ('53', '党的“三大优良作风”是：理论联系实际、#、批评与自我批评。', '密切联系群众', 'A');
INSERT INTO `question` VALUES ('54', '走中国特色社会主义政治发展道路，必须坚持党的领导、人民当家作主、#的有机统一。', '依法治国', 'A');
INSERT INTO `question` VALUES ('55', '党的十九大的主题是：不忘初心，牢记使命，高举中国特色社会主义伟大旗帜，决胜全面建成#，夺取新时代中国特色社会主义伟大胜利，为实现中华民族伟大复兴的中国梦不懈奋斗。', '小康社会', 'A');
INSERT INTO `question` VALUES ('56', '我们党是代表最广大人民利益的政党，一切工作的成败得失必然要由人民群众来检验，以人民#、赞成不赞成、高兴不高兴、答应不答应作为根本标准。', '拥护不拥护', 'A');
INSERT INTO `question` VALUES ('57', '习近平总书记要求党的高级干部必须做到信念过硬、政治过硬、责任过硬、能力过硬、#过硬。', '作风', 'A');
INSERT INTO `question` VALUES ('58', '习近平总书记指出，中国人民是具有#精神的人民,具有伟大奋斗精神的人民,具有伟大团结精神的人民,具有伟大梦想精神的人民。', '伟大创造', 'A');
INSERT INTO `question` VALUES ('59', '党员要强化党的意识和组织观念，自觉做到思想上认同组织、政治上依靠组织、工作上服从组织、#组织。', '感情上信赖', 'A');
INSERT INTO `question` VALUES ('60', '党的“三大优良作风”是：#、密切联系群众、批评与自我批评。', '理论联系实际', 'A');
INSERT INTO `question` VALUES ('61', '中国共产党人的初心和使命是：为#谋幸福，为中华民族谋复兴。', '中国人民', 'A');
INSERT INTO `question` VALUES ('62', '改革必须坚持正确方向，既不走#的老路、也不走改旗易帜的邪路。', '封闭僵化', 'A');
INSERT INTO `question` VALUES ('63', '“五位一体”总体布局是指:经济建设、#建设、文化建设、社会建设、生态文明建设。', '政治', 'A');
INSERT INTO `question` VALUES ('64', '党面临的“四大考验”是：执政考验、改革开放考验、市场经济考验、#考验。', '外部环境', 'A');
INSERT INTO `question` VALUES ('65', '中国梦的本质是国家富强、#、人民幸福。', '民族振兴', 'A');
INSERT INTO `question` VALUES ('66', '中国实行工人阶级领导的、以工农联盟为基础的人民民主专政的国体，实行#制度的政体，实行中国共产党领导的多党合作和政治协商制度,实行民族区域自治制度,实行基层群众自治制度，具有鲜明的中国特色。', '人民代表大会', 'A');
INSERT INTO `question` VALUES ('67', '习近平指出，#，是教育的首要问题。', '培养什么人', 'A');
INSERT INTO `question` VALUES ('68', '实现全面建成小康社会奋斗目标，实现中华民族伟大复兴的中国梦，关键在于培养造就一支具有铁一般信仰、铁一般#、铁一般纪律、铁一般担当的干部队伍。', '信念', 'A');
INSERT INTO `question` VALUES ('69', '#的领导是中国特色社会主义最本质的特征，是中国特色社会主义制度的最大优势。', '中国共产党', 'A');
INSERT INTO `question` VALUES ('70', '供给侧结构性改革的“三去一降一补”是指：去产能、去库存、去#、降成本、补短板。', '杠杆', 'A');
INSERT INTO `question` VALUES ('71', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好政治安全、国土安全、经济安全、#安全、网络安全、外部安全等重点领域的国家安全工作。', '社会', 'A');
INSERT INTO `question` VALUES ('72', '我国社会主要矛盾的变化，没有改变我们对我国社会主义所处历史阶段的判断，我国仍处于并将长期处于社会主义#的基本国情没有变，我国是世界最大发展中国家的国际地位没有变。', '初级阶段', 'A');
INSERT INTO `question` VALUES ('73', '全面深化改革的总目标是#中国特色社会主义制度，推进国家治理体系和治理能力现代化。', '完善和发展', 'A');
INSERT INTO `question` VALUES ('74', '党面临的“四种危险”是：精神懈怠的危险、能力不足的危险、脱离群众的危险、#的危险。', '消极腐败', 'A');
INSERT INTO `question` VALUES ('75', '“四个意识”即:政治意识、大局意识、#、看齐意识。', '核心意识', 'A');
INSERT INTO `question` VALUES ('76', '党的根本性建设是党的#建设，决定党的建设方向和效果。', '政治', 'A');
INSERT INTO `question` VALUES ('77', '习近平在学校思想政治理论课教师座谈会上强调，办好思想政治理论课，最根本的是要全面贯彻党的教育方针，解决好培养什么人、怎样培养人、#这个根本问题。', '为谁培养人', 'A');
INSERT INTO `question` VALUES ('78', '新时代党的组织路线：全面贯彻#，以组织体系建设为重点，着力培养忠诚干净担当的高素质干部。', '新时代中国特色社会主义思想', 'A');
INSERT INTO `question` VALUES ('79', '五大文明是指：物质文明、政治文明、#文明、社会文明、生态文明', '精神', 'A');
INSERT INTO `question` VALUES ('80', '党面临的“四大考验”是：执政考验、改革开放考验、#考验、外部环境考验。', '市场经济', 'A');
INSERT INTO `question` VALUES ('81', '改革必须坚持正确方向，既不走封闭僵化的老路、也不走#的邪路。', '改旗易帜', 'A');
INSERT INTO `question` VALUES ('82', '“四个自信”即：中国特色社会主义道路自信、理论自信、#、文化自信。', '制度自信', 'A');
INSERT INTO `question` VALUES ('83', '习近平总书记强调，全党同志要加强党性锻炼，不断提高政治觉悟和政治能力，把#、为党分忧、为党尽职、为民造福作为根本政治担当，永葆共产党人政治本色。', '对党忠诚', 'A');
INSERT INTO `question` VALUES ('84', '实现中国梦必须#，必须弘扬中国精神，必须凝聚中国力量。', '走中国道路', 'A');
INSERT INTO `question` VALUES ('85', '全面推进依法治国的总目标是：建设中国特色社会主义法治体系，建设#国家。', '社会主义法治', 'A');
INSERT INTO `question` VALUES ('86', '“四个自信”即：中国特色社会主义道路自信、#、制度自信、文化自信。', '理论自信', 'A');
INSERT INTO `question` VALUES ('87', '我国宗教的主要特征是：宗教具有#、群众性、民族性、国际性、复杂性。', '长期性', 'A');
INSERT INTO `question` VALUES ('88', '党的十九大报告提出，要坚定实施#战略、人才强国战略、创新驱动发展战略、乡村振兴战略、区域协调发展战略、可持续发展战略、军民融合发展战略。', '科教兴国', 'A');
INSERT INTO `question` VALUES ('89', '中国梦的本质是国家富强、民族振兴、#。', '人民幸福', 'A');
INSERT INTO `question` VALUES ('90', '乡村振兴战略的总要求是：#、生态宜居、乡风文明、治理有效、生活富裕。', '产业兴旺', 'A');
INSERT INTO `question` VALUES ('91', '改进党的领导方式。着眼于党把方向、谋大局、定政策、促改革，强化战略思维、创新思维、辩证思维、法治思维、#，正确制定和坚决执行党的路线方针政策，不断增强党的政治领导力、思想引领力、群众组织力、社会号召力。', '底线思维', 'A');
INSERT INTO `question` VALUES ('92', '“四个全面”战略布局是指：全面建设社会主义现代化国家、全面深化改革、全面#、全面从严治党。', '依法治国', 'A');
INSERT INTO `question` VALUES ('93', '习近平总书记要求党的高级干部必须做到信念过硬、政治过硬、责任过硬、#过硬、作风过硬。', '能力', 'A');
INSERT INTO `question` VALUES ('94', '党的十九大报告强调的“四个伟大”是指:伟大斗争、伟大工程、伟大#、伟大梦想。其中起决定性作用的是党的建设新的伟大工程。', '事业', 'A');
INSERT INTO `question` VALUES ('95', '从党的十九大到党的二十大，是“两个一百年”奋斗目标的历史交汇期。我们既要全面建成小康社会、实现第一个百年奋斗目标，又要乘势而上开启全面建设#现代化国家新征程，向第二个百年奋斗目标进军。', '社会主义', 'A');
INSERT INTO `question` VALUES ('96', '习近平总书记指出，中国人民是具有伟大创造精神的人民,具有#精神的人民,具有伟大团结精神的人民,具有伟大梦想精神的人民。', '伟大奋斗', 'A');
INSERT INTO `question` VALUES ('97', '新时期好干部标准是：信念坚定、#、勤政务实、敢于担当、清正廉洁。', '为民服务', 'A');
INSERT INTO `question` VALUES ('98', '我们党既要政治过硬，也要本领高强，要增强学习本领、政治领导本领、改革创新本领、#本领、依法执政本领、群众工作本领、狠抓落实本领、驾驭风险本领。', '科学发展', 'A');
INSERT INTO `question` VALUES ('99', '“两个维护”是指坚决维护习近平总书记党中央的核心、全党的核心地位，坚决维护党中央权威和#。', '集中统一领导', 'A');
INSERT INTO `question` VALUES ('100', '#和纯洁性是马克思主义政党的本质属性。', '先进性', 'A');
INSERT INTO `question` VALUES ('101', '改进党的领导方式。着眼于党把方向、谋大局、定政策、促改革，强化战略思维、创新思维、辩证思维、法治思维、底线思维，正确制定和坚决执行党的路线方针政策，不断增强党的政治领导力、思想引领力、#、社会号召力。', '群众组织力', 'A');
INSERT INTO `question` VALUES ('102', '习近平总书记指出，经济建设是党的中心工作，#工作是党的一项极端重要的工作。', '意识形态', 'A');
INSERT INTO `question` VALUES ('103', '历史和现实反复证明，能否做好意识形态工作，事关党的前途命运，事关国家长治久安，事关民族凝聚力和#。', '向心力', 'A');
INSERT INTO `question` VALUES ('104', '“五位一体”总体布局是指:#建设、政治建设、文化建设、社会建设、生态文明建设。', '经济', 'A');
INSERT INTO `question` VALUES ('105', '我国社会主要矛盾已经转化为人民日益增长的#和不平衡不充分的发展之间的矛盾。', '美好生活需要', 'A');
INSERT INTO `question` VALUES ('106', '“两学一做”学习教育，指的是“#、学系列讲话，做合格党员”学习教育。', '学党章党规', 'A');
INSERT INTO `question` VALUES ('107', '中国共产党同各民主党派实行#、互相监督、肝胆相照、荣辱与共的基本方针。', '长期共存', 'A');
INSERT INTO `question` VALUES ('108', '“三严三实”是指：严以修身、#、严以律己，谋事要实、创业要实、做人要实。', '严以用权', 'A');
INSERT INTO `question` VALUES ('109', '五大文明是指：物质文明、#文明、精神文明、社会文明、生态文明', '政治', 'A');
INSERT INTO `question` VALUES ('110', '历史和现实反复证明，能否做好意识形态工作，事关#，事关国家长治久安，事关民族凝聚力和向心力。', '党的前途命运', 'A');
INSERT INTO `question` VALUES ('111', '中国实行工人阶级领导的、以工农联盟为基础的人民民主专政的国体，实行人民代表大会制度的政体，实行#领导的多党合作和政治协商制度,实行民族区域自治制度,实行基层群众自治制度，具有鲜明的中国特色。', '中国共产党', 'A');
INSERT INTO `question` VALUES ('112', '习近平总书记强调的三个“一以贯之”是指：坚持和发展中国特色社会主义要一以贯之，推进党的建设新的#要一以贯之,增强忧患意识、防范风险挑战要一以贯之。', '伟大工程', 'A');
INSERT INTO `question` VALUES ('113', '干部选拔任用 “凡提四必”，即讨论决定前，对拟提拔或进一步使用人选的干部档案必审、#报告必核、纪检监察机关意见必听、线索具体的信访举报必查，坚决防止“带病提拔”。', '个人有关事项', 'A');
INSERT INTO `question` VALUES ('114', '建设社会主义生态文明，要树立尊重自然、顺应自然、保护自然的生态文明理念，增强绿水青山就是#的意识，坚持节约资源和保护环境的基本国策，坚持节约优先、保护优先、自然恢复为主的方针，坚持生产发展、生活富裕、生态良好的文明发展道路。', '金山银山', 'A');
INSERT INTO `question` VALUES ('115', '勇于自我革命，#，是我们党最鲜明的品格。', '从严管党治党', 'A');
INSERT INTO `question` VALUES ('116', '党面临的“四大考验”是：执政考验、#考验、市场经济考验、外部环境考验。', '改革开放', 'A');
INSERT INTO `question` VALUES ('117', '中国共产党人的初心和使命是：为中国人民谋幸福，为中华民族谋#。', '复兴', 'A');
INSERT INTO `question` VALUES ('118', '党的十九大报告强调的“四个伟大”是指:伟大斗争、伟大#、伟大事业、伟大梦想。其中起决定性作用的是党的建设新的伟大工程。', '工程', 'A');
INSERT INTO `question` VALUES ('119', '习近平总书记要求党的高级干部必须做到#过硬、政治过硬、责任过硬、能力过硬、作风过硬。', '信念', 'A');
INSERT INTO `question` VALUES ('120', '党的十九大的主题是：不忘初心，牢记使命，高举#伟大旗帜，决胜全面建成小康社会，夺取新时代中国特色社会主义伟大胜利，为实现中华民族伟大复兴的中国梦不懈奋斗。', '中国特色社会主义', 'A');
INSERT INTO `question` VALUES ('121', '坚持和发展#是改革开放以来党的全部理论和实践的主题，是当代中国发展进步的根本方向。', '中国特色社会主义', 'A');
INSERT INTO `question` VALUES ('122', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好#安全、国土安全、经济安全、社会安全、网络安全、外部安全等重点领域的国家安全工作。', '政治', 'A');
INSERT INTO `question` VALUES ('123', '乡村振兴战略的总要求是：产业兴旺、生态宜居、乡风文明、#、生活富裕。', '治理有效', 'A');
INSERT INTO `question` VALUES ('124', '发展是解决我国一切问题的基础和关键，发展必须是科学发展，必须坚定不移贯彻创新、#、绿色、开放、共享的发展理念。', '协调', 'A');
INSERT INTO `question` VALUES ('125', '全面深化改革的总目标是完善和发展中国特色社会主义制度，推进#和治理能力现代化。', '国家治理体系', 'A');
INSERT INTO `question` VALUES ('126', '全面建成小康社会决胜期的“三大攻坚战”是指：坚决打好防范化解重大风险、#、污染防治的攻坚战。', '精准脱贫', 'A');
INSERT INTO `question` VALUES ('127', '党员要强化党的意识和组织观念，自觉做到思想上认同组织、政治上依靠组织、#组织、感情上信赖组织。', '工作上服从', 'A');
INSERT INTO `question` VALUES ('128', '构建#重要战略思想，是习近平总书记着眼人类发展和世界前途提出的中国理念、中国方案。', '人类命运共同体', 'A');
INSERT INTO `question` VALUES ('129', '人民对#的向往就是我们的奋斗目标。', '美好生活', 'A');
INSERT INTO `question` VALUES ('130', '党的十九大的主题是：不忘初心，牢记使命，高举中国特色社会主义伟大旗帜，决胜全面建成小康社会，夺取新时代中国特色社会主义伟大胜利，为实现#的中国梦不懈奋斗。', '中华民族伟大复兴', 'A');
INSERT INTO `question` VALUES ('131', '五大文明是指：#文明、政治文明、精神文明、社会文明、生态文明', '物质', 'A');
INSERT INTO `question` VALUES ('132', '实现中国梦必须走中国道路，必须弘扬中国精神，必须凝聚#。', '中国力量', 'A');
INSERT INTO `question` VALUES ('133', '#始终是党的生命线和根本工作路线，是我们党永葆青春活力和战斗力的重要传家宝。', '群众路线', 'A');
INSERT INTO `question` VALUES ('134', '党面临的“四大考验”是：#考验、改革开放考验、市场经济考验、外部环境考验。', '执政', 'A');
INSERT INTO `question` VALUES ('135', '五大文明是指：物质文明、政治文明、精神文明、#文明、生态文明', '社会', 'A');
INSERT INTO `question` VALUES ('136', '全面建成小康社会决胜期的“三大攻坚战”是指：坚决打好#、精准脱贫、污染防治的攻坚战。', '防范化解重大风险', 'A');
INSERT INTO `question` VALUES ('137', '习近平强调，做好新形势下宣传思想工作，必须自觉承担起举旗帜、#、育新人、兴文化、展形象的使命任务。', '聚民心', 'A');
INSERT INTO `question` VALUES ('138', '发展是解决我国一切问题的基础和关键，发展必须是科学发展，必须坚定不移贯彻创新、协调、绿色、#、共享的发展理念。', '开放', 'A');
INSERT INTO `question` VALUES ('139', '社会主义核心价值观的内容是：富强、民主、文明、和谐，自由、#、公正、法治，爱国、敬业、诚信、友善。', '平等', 'A');
INSERT INTO `question` VALUES ('140', '党的十九大强调，要使市场在资源配置中起决定性作用，更好发挥#作用。', '政府', 'A');
INSERT INTO `question` VALUES ('141', '中国实行#领导的、以工农联盟为基础的人民民主专政的国体，实行人民代表大会制度的政体，实行中国共产党领导的多党合作和政治协商制度,实行民族区域自治制度,实行基层群众自治制度，具有鲜明的中国特色。', '工人阶级', 'A');
INSERT INTO `question` VALUES ('142', '发展是解决我国一切问题的基础和关键，发展必须是科学发展，必须坚定不移贯彻#、协调、绿色、开放、共享的发展理念。', '创新', 'A');
INSERT INTO `question` VALUES ('143', '改革必须坚持#，既不走封闭僵化的老路、也不走改旗易帜的邪路。', '正确方向', 'A');
INSERT INTO `question` VALUES ('144', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好政治安全、#安全、经济安全、社会安全、网络安全、外部安全等重点领域的国家安全工作。', '国土', 'A');
INSERT INTO `question` VALUES ('145', '走中国特色社会主义政治发展道路，必须坚持党的领导、#、依法治国的有机统一。', '人民当家作主', 'A');
INSERT INTO `question` VALUES ('146', '党员要强化党的意识和组织观念，自觉做到思想上认同组织、#组织、工作上服从组织、感情上信赖组织。', '政治上依靠', 'A');
INSERT INTO `question` VALUES ('147', '“四个意识”即:#、大局意识、核心意识、看齐意识。', '政治意识', 'A');
INSERT INTO `question` VALUES ('148', '中国梦的本质是#、民族振兴、人民幸福。', '国家富强', 'A');
INSERT INTO `question` VALUES ('149', '党的十九大报告强调的“四个伟大”是指:伟大#、伟大工程、伟大事业、伟大梦想。其中起决定性作用的是党的建设新的伟大工程。', '斗争', 'A');
INSERT INTO `question` VALUES ('150', '中国实行工人阶级领导的、以#为基础的人民民主专政的国体，实行人民代表大会制度的政体，实行中国共产党领导的多党合作和政治协商制度,实行民族区域自治制度,实行基层群众自治制度，具有鲜明的中国特色。', '工农联盟', 'A');
INSERT INTO `question` VALUES ('151', '我国经济已由高速增长阶段转向#阶段，正处在转变发展方式、优化经济结构、转换增长动力的攻关期，建设现代化经济体系是跨越关口的迫切要求和我国发展的战略目标。', '高质量发展', 'A');
INSERT INTO `question` VALUES ('152', '“四个意识”即:政治意识、#、核心意识、看齐意识。', '大局意识', 'A');
INSERT INTO `question` VALUES ('153', '当前和今后一个时期，全面贯彻落实总体国家安全观，要着重抓好政治安全、国土安全、经济安全、社会安全、网络安全、#安全等重点领域的国家安全工作。', '外部', 'A');
INSERT INTO `question` VALUES ('154', '#是党的根本政治立场。', '人民立场', 'A');
INSERT INTO `question` VALUES ('155', '乡村振兴战略的总要求是：产业兴旺、#、乡风文明、治理有效、生活富裕。', '生态宜居', 'A');
INSERT INTO `question` VALUES ('156', '发展是解决我国一切问题的基础和关键，发展必须是科学发展，必须坚定不移贯彻创新、协调、绿色、开放、#的发展理念。', '共享', 'A');
INSERT INTO `question` VALUES ('157', '党的建设总体布局是：全面推进党的#、思想建设、组织建设、作风建设、纪律建设，把制度建设贯穿其中，深入推进反腐败斗争。', '政治建设', 'A');
INSERT INTO `question` VALUES ('158', '把党的政治建设摆在首位，必须做到坚决防止和反对#、分散主义、自由主义、本位主义、好人主义，坚决防止和反对宗派主义、圈子文化，码头文化，坚决反对搞两面派、做两面人。', '个人主义', 'A');
INSERT INTO `question` VALUES ('159', '“两不愁三保障”是指不愁吃、不愁穿，#、基本医疗、住房安全有保障。', '义务教育', 'A');
INSERT INTO `question` VALUES ('160', '党的十九大强调，要使#在资源配置中起决定性作用，更好发挥政府作用。', '市场', 'A');
INSERT INTO `question` VALUES ('161', '习近平总书记要求党的高级干部必须做到信念过硬、政治过硬、#过硬、能力过硬、作风过硬。', '责任', 'A');
INSERT INTO `question` VALUES ('162', '习近平总书记强调的三个“一以贯之”是指：坚持和发展#要一以贯之，推进党的建设新的伟大工程要一以贯之,增强忧患意识、防范风险挑战要一以贯之。', '中国特色社会主义', 'A');
INSERT INTO `question` VALUES ('163', '党员要强化党的意识和组织观念，自觉做到#组织、政治上依靠组织、工作上服从组织、感情上信赖组织。', '思想上认同', 'A');
INSERT INTO `question` VALUES ('164', '“四个全面”战略布局是指：全面建设社会主义现代化国家、全面#、全面依法治国、全面从严治党。', '深化改革', 'A');
INSERT INTO `question` VALUES ('165', '新时代全国高等学校本科教育工作会议指出，我们将把#、回归本分、回归初心、回归梦想作为高校改革发展的基本遵循，激励学生刻苦读书学习，引导教师潜心教书育人，努力培养德智体美全面发展的社会主义建设者和接班人，加快建设高等教育强国。', '回归常识', 'A');
INSERT INTO `question` VALUES ('166', '改进党的领导方式。着眼于党把方向、谋大局、定政策、促改革，强化#、创新思维、辩证思维、法治思维、底线思维，正确制定和坚决执行党的路线方针政策，不断增强党的政治领导力、思想引领力、群众组织力、社会号召力。', '战略思维', 'A');
INSERT INTO `question` VALUES ('167', '国家治理体系和#是一个国家的制度和制度执行能力的集中体现。', '治理能力', 'A');
INSERT INTO `question` VALUES ('168', '“四个全面”战略布局是指：全面建设社会主义现代化国家、全面深化改革、全面依法治国、全面#。', '从严治党', 'A');
INSERT INTO `question` VALUES ('169', '我们将努力建设高素质教师队伍，把#作为教师素质评价的第一标准，引导教师以德立身、以德立学、以德施教，更好担当起学生健康成长指导者和引路人的责任。', '师德师风', 'A');
INSERT INTO `question` VALUES ('170', '供给侧结构性改革的“三去一降一补”是指：去产能、去库存、去杠杆、降成本、补#。', '短板', 'A');
INSERT INTO `question` VALUES ('171', '加强意识形态阵地建设和管理，要认真贯彻主管主办和#原则，切实做到守土有责、守土负责、守土尽责，决不给错误思想观点提供传播渠道。', '属地管理', 'A');
INSERT INTO `question` VALUES ('172', '#是实现国家繁荣富强的根本出路。', '全面开放', 'A');
INSERT INTO `question` VALUES ('173', '党的十九大报告强调的“四个伟大”是指:伟大斗争、伟大工程、伟大事业、伟大#。其中起决定性作用的是党的建设新的伟大工程。', '梦想', 'A');
INSERT INTO `question` VALUES ('174', '“四个全面”战略布局是指：全面建设#、全面深化改革、全面依法治国、全面从严治党。', '社会主义现代化国家', 'A');
INSERT INTO `question` VALUES ('175', '习近平在全国教育大会上强调，加强党对教育工作的#，是办好教育的根本保证。', '全面领导', 'A');
INSERT INTO `question` VALUES ('176', '当前和今后一个时期，我国经济发展面临的问题,供给和需求两侧都有，但矛盾的主要方面在#。', '供给侧', 'A');
INSERT INTO `question` VALUES ('177', '党的十九大报告指出，要增强政治领导本领,坚持战略思维、创新思维、#、法治思维、底线思维,科学制定和坚决执行党的路线方针政策，把党总揽全局、协调各方落到实处。', '辩证思维', 'A');
INSERT INTO `question` VALUES ('178', '“五位一体”总体布局是指:经济建设、政治建设、文化建设、#建设、生态文明建设。', '社会', 'A');
INSERT INTO `question` VALUES ('179', '#的问题，是检验一个政党、一个政权性质的试金石。', '为什么人', 'A');
INSERT INTO `question` VALUES ('180', '从党的十九大到党的二十大，是“两个一百年”奋斗目标的历史交汇期。我们既要全面建成#、实现第一个百年奋斗目标，又要乘势而上开启全面建设社会主义现代化国家新征程，向第二个百年奋斗目标进军。', '小康社会', 'A');
INSERT INTO `question` VALUES ('181', '党的作风建设的核心问题是保持党同#的血肉联系。', '人民群众', 'A');
INSERT INTO `question` VALUES ('182', '党面临的“四种危险”是：#的危险、能力不足的危险、脱离群众的危险、消极腐败的危险。', '精神懈怠', 'A');
INSERT INTO `question` VALUES ('183', '供给侧结构性改革的“三去一降一补”是指：去产能、去库存、去杠杆、降#、补短板。', '成本', 'A');
INSERT INTO `question` VALUES ('184', '社会主义民主政治的本质特征是#。', '人民当家作主', 'A');
INSERT INTO `question` VALUES ('185', '习近平总书记指出，对人民内部矛盾，要善于运用#、民主、协商的办法进行处理。', '法治', 'A');
INSERT INTO `question` VALUES ('186', '习近平强调，做好党的新闻舆论工作，事关#，事关贯彻落实党的理论和路线方针政策，事关顺利推进党和国家各项事业，事关全党全国各族人民凝聚力和向心力，事关党和国家前途命运。', '旗帜和道路', 'A');
INSERT INTO `question` VALUES ('187', '贯穿习近平新时代中国特色社会主义思想的科学思想方法和工作方法有：坚持实事求是；#；坚持问题导向;坚持全面协调;坚持底线思维;坚持调查研究;坚持抓铁有痕；坚持历史担当。', '坚持战略定力', 'A');
INSERT INTO `question` VALUES ('188', '坚持正确#导向，是严肃党内政治生活的组织保证。', '选人用人', 'B');
INSERT INTO `question` VALUES ('189', '#是最根本的党内法规，是管党治党的总规矩。', '党章', 'B');
INSERT INTO `question` VALUES ('190', '科学发展观的核心是#。', '以人为本', 'B');
INSERT INTO `question` VALUES ('191', '“毛泽东思想”这一概念的提出者是#。', '王稼祥', 'B');
INSERT INTO `question` VALUES ('192', '在新世纪新时代，经济和社会发展的战略目标是:到建党一百年时，全面建成小康社会;到新中国成立一百年时，全面建成#。', '社会主义现代化强国', 'B');
INSERT INTO `question` VALUES ('193', '根据《党委（党组）落实全面从严治党主体责任规定》，地方党委应将党的建设与#发展同谋划、同部署、同推进、同考核，加强对本地区全面从严治党各项工作的领导。', '经济社会', 'B');
INSERT INTO `question` VALUES ('194', '#纪律是党最根本、最重要的纪律，遵守党的政治纪律是遵守党的全部纪律的基础。', '政治', 'B');
INSERT INTO `question` VALUES ('195', '改革开放以来我们取得一切成绩和进步的根本原因，归结起来就是:开辟了#道路,形成了中国特色社会主义理论体系，确立了中国特色社会主义制度,发展了中国特色社会主义文化。', '中国特色社会主义', 'B');
INSERT INTO `question` VALUES ('196', '1945年4月23日至6月11日，党的七大在#举行。这次会议将毛泽东思想作为党的指导思想写入党章。党的七大提出的党的任务是：放手发动群众，壮大人民力量，领导人民打败日本侵略者，解放全国人民，建立一个独立、自由、民主、统一、富强的新中国。', '延安', 'B');
INSERT INTO `question` VALUES ('197', '1964年10月16日，在中国西部的#试验基地成功爆炸第一颗原子弹，有力地打破了超级大国的核垄断和核讹诈，提高了我国的国际地位。', '罗布泊', 'B');
INSERT INTO `question` VALUES ('198', '三重一大制度包括：重大问题决策、重要干部任免、#、大额资金使用。', '重大项目投资决策', 'B');
INSERT INTO `question` VALUES ('199', '“两个务必”是：务必继续保持谦虚、谨慎、不骄、不躁的作风，务必继续保持#的作风。', '艰苦奋斗', 'B');
INSERT INTO `question` VALUES ('200', '《中国共产党问责条例》规定，受到问责的党的领导干部应当向#写出书面检讨，并在民主生活会或者其他党的会议上作出深刻检查。', '问责决定机关', 'B');
INSERT INTO `question` VALUES ('201', '中国共产党是#的先锋队，同时是中国人民和中华民族的先锋队，是中国特色社会主义事业的领导核心，代表中国先进生产力的发展要求，代表中国先进文化的前进方向，代表中国最广大人民的根本利益。', '中国工人阶级', 'B');
INSERT INTO `question` VALUES ('202', '党的纪律主要包括:政治纪律、组织纪律、#纪律、群众纪律、工作纪律、生活纪律。', '廉洁', 'B');
INSERT INTO `question` VALUES ('203', '党风问题、党同#联系问题是关系党生死存亡的问题。', '人民群众', 'B');
INSERT INTO `question` VALUES ('204', '党内政治生活基本规范：以实事求是、理论联系实际、密切联系群众、#、民主集中制、严明党的纪律为主要内容。', '批评与自我批评', 'B');
INSERT INTO `question` VALUES ('205', '1997年7月1日,香港回归祖国,标志着邓小平“#”构想获得巨大成功。', '一国两制', 'B');
INSERT INTO `question` VALUES ('206', '建设社会主义生态文明，要坚持节约优先、保护优先、#为主的方针。', '自然恢复', 'B');
INSERT INTO `question` VALUES ('207', '中国共产党以马克思列宁主义、毛泽东思想、邓小平理论、“三个代表”重要思想、科学发展观、#作为自己的行动指南。', '习近平新时代中国特色社会主义思想', 'B');
INSERT INTO `question` VALUES ('208', '党内监督的重点对象是党的#和领导干部特别是主要领导干部。', '领导机关', 'B');
INSERT INTO `question` VALUES ('209', '“五反”运动：反对#、反对偷税漏税、反对盗骗国家财产、反对偷工减料、反对盗窃国家经济情报。', '行贿', 'B');
INSERT INTO `question` VALUES ('210', '#打响了武装反抗国民党反动派的第一枪，标志着中国共产党独立领导革命战争、创建人民军队和武装夺取政权的开始。', '南昌起义', 'B');
INSERT INTO `question` VALUES ('211', '党的“六大纪律”包括：政治经律、组织经律、#、群众纪律、工作纪律、生活纪律。', '廉洁纪律', 'B');
INSERT INTO `question` VALUES ('212', '党的基层委员会由#大会或党员代表大会选举产生，每届任期一般为3年至5年。', '党员', 'B');
INSERT INTO `question` VALUES ('213', '党的“四条路线”是指：政治路线、#路线、组织路线、群众路线。', '思想', 'B');
INSERT INTO `question` VALUES ('214', '#年9月15日至27日在北京政协礼堂召开的中国共产党第八次全国代表大会是新中国成立之后召开的第一个全国代表大会。党的八大，正确分析了社会主义社会制度基本建立之后国内外形势和国内主要矛盾的变化，强调社会主义改造基本完成后，党和国家面临的最重要的任务是保护和发展生产力。', '1956', 'B');
INSERT INTO `question` VALUES ('215', '《中国共产党纪律处分条例》强调，要重点查处党的十八大以来不收敛、不收手，问题线索反映集中、群众反映强烈，政治问题和经济问题交织的腐败案件，违反中央#精神的问题。', '八项规定', 'B');
INSERT INTO `question` VALUES ('216', '1919年，李大钊在《新青年》杂志发表了《#》一文，系统地介绍了马克思主义的唯物史观、政治经济学和科学社会主义的基本原理。', '我的马克思主义观', 'B');
INSERT INTO `question` VALUES ('217', '党的根本组织原则是#。', '民主集中制', 'B');
INSERT INTO `question` VALUES ('218', '1981年6月，党的十一届#中全会通过《关于建国以来党的若干历史问题的决议》，标志着党在指导思想上的拨乱反正胜利完成。', '六', 'B');
INSERT INTO `question` VALUES ('219', '党员受到警告处分一年内、受到#处分一年半内，不得在党内提升职务和向党外组织推荐担任高于其原任职务的党外职务。', '严重警告', 'B');
INSERT INTO `question` VALUES ('220', '1935年1月15日至17日，遵义会议召开。遵义会议的主要内容：批判了博古、李德等人错误的政治路线和军事路线，肯定了毛泽东的军事作战基本原则，改组了党和红军的领导，实际上确立了#在党和红军中的领导地位。', '毛泽东', 'B');
INSERT INTO `question` VALUES ('221', '《中国共产党党和国家机关基层组织工作条例》指出，各级党委（党组）要切实履行全面从严治党#责任，把机关党的建设摆在重要位置来抓，推动机关党的建设始终走在前、作表率。', '主体', 'B');
INSERT INTO `question` VALUES ('222', '中国共产党第#次全国代表大会的中心议题是正式建立中国共产党。', '一', 'B');
INSERT INTO `question` VALUES ('223', '党的最高理想和最终目标是#。', '实现共产主义', 'B');
INSERT INTO `question` VALUES ('224', '留党察看期间，受处分党员不享有#权、选举权、被选举权。', '表决', 'B');
INSERT INTO `question` VALUES ('225', '党的民主集中制的“四个服从”主要包括：党员个人服从党的组织，#，下级组织服从上级组织,全党各个组织和全体党员服从党的全国代表大会和中央委员会。', '少数服从多数', 'B');
INSERT INTO `question` VALUES ('226', '解放战争中的三大战役：辽沈战役、淮海战役、#。历时最长、规模最大、歼敌数量最多的是淮海战役。', '平津战役', 'B');
INSERT INTO `question` VALUES ('227', '四个自我是指：自我净化、自我完善、#、自我提高。', '自我革新', 'B');
INSERT INTO `question` VALUES ('228', '1982年9月，#在党的十二大开幕词中明确提出：“把马克思主义的普遍真理同我国的具体实际结合起来，走自己的道路，建设有中国特色的社会主义”。', '邓小平', 'B');
INSERT INTO `question` VALUES ('229', '#是我们党作为马克思主义政党的根本要求。', '旗帜鲜明讲政治', 'B');
INSERT INTO `question` VALUES ('230', '在党员教育工作中，要深入学习领会习近平新时代中国特色社会主义思想的核心要义、基本精神、实践要求，增强#、理论自信和情感融入。', '政治自觉', 'B');
INSERT INTO `question` VALUES ('231', '党的二大于1922年7月16日至23日，在#召开。', '上海', 'B');
INSERT INTO `question` VALUES ('232', '1935年12月17日召开的#会议的内容是：会议着重讨论了全国政治形势和党的策略路线、军事战略，确立了建立抗日民族统一战线的新策略，并相应地调整了各项具体政策。会议通过《中央关于军事战略问题的决议》和《中央关于目前政治形势与党的任务决议》。', '瓦窑堡', 'B');
INSERT INTO `question` VALUES ('233', '对党员的纪律处分有五种:警告、严重警告、撤销党内职务、#、开除党籍。', '留党察看', 'B');
INSERT INTO `question` VALUES ('234', '四个铁一般是指：铁一般信仰、铁一般信念、铁一般#、铁一般担当。', '纪律', 'B');
INSERT INTO `question` VALUES ('235', '党在社会主义初级阶段的基本路线是：领导和团结全国各族人民，以经济建设为中心，坚持#，坚持改革开放，自力更生，艰苦创业，为把我国建设成为富强、民主、文明、和谐、美丽的社会主义现代化强国而奋斗。', '四项基本原则', 'B');
INSERT INTO `question` VALUES ('236', '1978年12月召开的党的十一届三中全会，是新中国成立以来党的历史上具有深远意义的伟大转折。这次会议确定把全党的工作重点转移到社会主义现代化建设上来。标志着我国进入#新时期。', '改革开放', 'B');
INSERT INTO `question` VALUES ('237', '党务公开应当遵循的原则是：坚持#、坚持发扬民主、坚持积极稳妥、坚持依规依法。', '正确方向', 'B');
INSERT INTO `question` VALUES ('238', '1949年3月,中共中央在#召开七届二中全会,毛泽东在会上向全党同志提出了著名的“两个务必”思想。会议着重讨论党的工作重心实行战略转移，即从乡村转到城市的问题。', '西北坡', 'B');
INSERT INTO `question` VALUES ('239', ' 第一个中文全译本《共产党宣言》是#翻译，1920年8月由上海社会主义研究社出版。', '陈望道', 'B');
INSERT INTO `question` VALUES ('240', '在中国共产党第一次全国代表大会上#被选为中央局书记。', '陈独秀', 'B');
INSERT INTO `question` VALUES ('241', '2020年1月8日，习近平总书记在“不忘初心、牢记使命”主题教育总结大会上强调，强大的政党是在自我革命中锻造出来的。回顾党的历史，我们党总是在推动社会革命的同时，勇于推动#，始终坚持真理、修正错误，敢于正视问题、克服缺点，勇于刮骨疗毒、去腐生肌。', '自我革命', 'B');
INSERT INTO `question` VALUES ('242', '深入推进党风廉政建设和反腐败斗争，要以#态度惩治腐败，构建不敢腐、不能腐、不想腐的有效机制。', '零容忍', 'B');
INSERT INTO `question` VALUES ('243', '党的群众路线是：一切为了群众，一切#群众，从群众中来，到群众中去，把党的正确主张变为群众的自觉行动。', '依靠', 'B');
INSERT INTO `question` VALUES ('244', '1928年6月18日至7月11日,中国共产党第#次全国代表大会在莫斯科郊外的五一村召开。', '六', 'B');
INSERT INTO `question` VALUES ('245', '合格党员的“四讲四有”是指：讲政治、有信念，#、有纪律，讲道德、有品行，讲奉献、有作为。', '讲规矩', 'B');
INSERT INTO `question` VALUES ('246', '落实党风廉政建设责任制，党委负主体责任，#负监督责任。', '纪委', 'B');
INSERT INTO `question` VALUES ('247', '1978年12月13日，邓小平在中央工作会议上发表的《#，实事求是，团结一致向前看》的讲话，受到与会者热烈拥护，实际上成为随后召开的十一届三中全会的主题报告。', '解放思想', 'B');
INSERT INTO `question` VALUES ('248', '社会主义荣辱观以“#”为主要内容。', '八荣八耻', 'B');
INSERT INTO `question` VALUES ('249', '各级党委党组要把中心组学习列入重要议事日程，纳入#工作责任制，纳入意识形态工作责任制。', '党建', 'B');
INSERT INTO `question` VALUES ('250', '八项规定包括：改进调查研究、精简会议活动、精简文件简报、规范出访活动、改进警卫工作、改进新闻报道、严格文稿发表、#。', '厉行勤俭节约', 'B');
INSERT INTO `question` VALUES ('251', '党的问责工作应当坚持的原则是：#、实事求是，失责必问、问责必严，惩前毖后、治病救人，分级负责、层层落实责任。', '依规依纪', 'B');
INSERT INTO `question` VALUES ('252', '民主集中制 16 字原则：集体领导、民主集中、个别酝酿、#。', '会议决定', 'B');
INSERT INTO `question` VALUES ('253', '党的七大提出的党的三大作风是：理论和实践相结合的作风、和人民群众紧密联系在一起的作风、#的作风。', '自我批评', 'B');
INSERT INTO `question` VALUES ('254', '1936年10月，红四、红二方面军先后同红一方面军在甘肃#、静宁将台堡会师，胜利地结束了长征。', '会宁', 'B');
INSERT INTO `question` VALUES ('255', '1958年5月，党的八大二次会议正式提出“鼓足干劲、力争上游、多快好省地建设社会主义”的总路线。会后，以片面追求工农业生产和建设的高速度，大幅度地提高和修改计划指标为标志的“#”运动在全国范围内开展起来。', '大跃进', 'B');
INSERT INTO `question` VALUES ('256', '1987年召开的党的十三大提出并系统论述了#理论。', '社会主义初级阶段', 'B');
INSERT INTO `question` VALUES ('257', '党员如果没有正当理由，连续#个月不参加党的组织生活，或不交纳党费，或不做党所分配的工作，就被认为是自行脱党。', '六', 'B');
INSERT INTO `question` VALUES ('258', '红船精神：开天辟地、#。', '敢为人先', 'B');
INSERT INTO `question` VALUES ('259', '#年12月20日，中国政府恢复对澳门行使主权，中华人民共和国澳门特别行政区成立，结束了葡萄牙共和国统治澳门的历史。', '1999', 'B');
INSERT INTO `question` VALUES ('260', '倡导社会关爱风尚，弘扬志愿者精神是指弘扬奉献、友爱、互助、#。', '进步', 'B');
INSERT INTO `question` VALUES ('261', '党的领导核心作用主要体现为#、协调各方。', '总揽全局', 'B');
INSERT INTO `question` VALUES ('262', '领导干部应当按规定如实报告#，及时报告个人及家庭重大情况,事先请示报告离开岗位或者工作所在地等。', '个人有关事项', 'B');
INSERT INTO `question` VALUES ('263', '中国共产党的宗旨是:#。', '全心全意为人民服务', 'B');
INSERT INTO `question` VALUES ('264', '#从组织上确立了党对军队的绝对领导,为建立一支无产阶级领导下的新型人民军队奠定了基础。', '三湾改编', 'B');
INSERT INTO `question` VALUES ('265', '《中国共产党廉洁自律准则》第四条，坚持吃苦在前、享受在后、#，反映了廉洁的高线。', '甘于奉献', 'B');
INSERT INTO `question` VALUES ('266', '邓小平提出的四项基本原则是：坚持#，坚持无产阶级专政即人民民主专政，坚持共产党的领导，坚持马列主义、毛泽东思想。', '社会主义道路', 'B');
INSERT INTO `question` VALUES ('267', '《党章》强调，要牢牢掌握意识形态工作领导权，不断巩固#在意识形态领域的指导地位，巩固全党全国人民团结奋斗的共同思想基础。', '马克思主义', 'B');
INSERT INTO `question` VALUES ('268', '中国共产党领导全国各族人民，经过长期的反对帝国主义、封建主义、官僚资本主义的革命斗争，取得了#革命的胜利。', '新民主主义', 'B');
INSERT INTO `question` VALUES ('269', '在民主推荐、民主测评、组织考察和党内选举中搞拉票、助选等非组织活动的，给予警告或者#。', '严重警告', 'B');
INSERT INTO `question` VALUES ('270', '四大考验指的是#考验、改革开放考验、市场经济考验、外部环境考验。', '执政', 'B');
INSERT INTO `question` VALUES ('271', '“四史”：党史、新中国史、改革开放史、#。', '社会主义发展史', 'B');
INSERT INTO `question` VALUES ('272', '严守“四条底线”：法律底线、#、政策底线、道德底线。', '纪律底线', 'B');
INSERT INTO `question` VALUES ('273', '各级党委党组对本级中心组学习负#责任，对本地区本部门本单位的中心组学习负领导责任。', '主体', 'B');
INSERT INTO `question` VALUES ('274', '党的十四大作出三项具有深远意义的决策:一是抓住机遇,加快发展;二是明确我国经济体制改革的目标是建立#经济体制;三是提出用邓小平建设有中国特色社会主义理论武装全党。', '社会主义市场', 'B');
INSERT INTO `question` VALUES ('275', '1927年8月7日在湖北汉口召开#。“政权是由枪杆子中取得的”这一论断是毛泽东在“八七会议”上提出来的。', '八七会议', 'B');
INSERT INTO `question` VALUES ('276', '党的“四条路线”是指：政治路线、思想路线、#路线、群众路线。', '组织', 'B');
INSERT INTO `question` VALUES ('277', '党章规定的各项纪律都必须严格遵守和执行，而最首要、最核心的就是要严格遵守和执行党的#。', '政治纪律', 'B');
INSERT INTO `question` VALUES ('278', '“四风问题”是指:形式主义、#主义、享乐主义、奢靡之风。', '官僚', 'B');
INSERT INTO `question` VALUES ('279', ' 中国共产党创立的第一块农村革命根据地是#革命根据地。1927年10月，毛泽东率领湘赣边界秋收起义部队到达江西宁冈，开始了创建井冈山革命根据地的斗争。', '井冈山', 'B');
INSERT INTO `question` VALUES ('280', '1978年5月11日，《光明日报》发表题为《#》特约评论员文章。由此，一场关于真理标准问题的大讨论在全国展开。', '实践是检验真理的唯一标准', 'B');
INSERT INTO `question` VALUES ('281', '四项基本原则：坚持社会主义道路、坚持#、坚持中国共产党的领导、坚持马克思列宁主义毛泽东思想。', '人民民主专政', 'B');
INSERT INTO `question` VALUES ('282', '1942年,中国共产党在全党范围内进行了一次整风运动,其主要任务是反对主观主义以整顿学风,反对宗派主义以整顿#,反对党八股以整顿文风。', '党风', 'B');
INSERT INTO `question` VALUES ('283', '党委(党组)成员根据工作分工，按照“一岗双责”要求,抓好分管部门、单位的意识形态工作,对职责范围内的#工作负领导责任。', '意识形态', 'B');
INSERT INTO `question` VALUES ('284', '党的“四条路线”是指：政治路线、思想路线、组织路线、#路线。', '群众', 'B');
INSERT INTO `question` VALUES ('285', '#是近百年来中国人民反对外国侵略者所取得的第一次完全胜利的民族解放战争。', '抗日战争', 'B');
INSERT INTO `question` VALUES ('286', '《关于加强和改进中央和国家机关党的建设的意见》指出，中央和国家机关要坚定不移向党中央看齐、向党的理论和路线方针政策看齐、向#看齐，自觉在思想上政治上组织上行动上同以习近平同志为核心的党中央保持一致。', '党中央决策部署', 'B');
INSERT INTO `question` VALUES ('287', '#年高考制度得到恢复，全国高校重新通过统一考试招收新生。', '1977', 'B');
INSERT INTO `question` VALUES ('288', '1937年7月7日,#爆发,全国抗日战争由此开始。', '卢沟桥事变', 'B');
INSERT INTO `question` VALUES ('289', '遵守党的政治纪律和政治规矩最为核心的是坚持#，坚持党的基本理论、基本路线、基本方略，同党中央保持一致，自觉维护党中央权威。', '党的领导', 'B');
INSERT INTO `question` VALUES ('290', '七项组织生活制度包括：会议制度、党日制度、党课制度、报告工作制度、民主生活制度、党员汇报制度、#制度。', '民主评议党员', 'B');
INSERT INTO `question` VALUES ('291', '党的干部是党的事业的骨干，是人民的公仆，要做到忠诚#。', '干净担当', 'B');
INSERT INTO `question` VALUES ('292', '党风廉政建设“一岗双责”是指：各级干部在履行本职岗位管理职责的同时，还要对所在单位和分管工作领域的党风廉政建设负责。通俗地说，就是“一个岗位，两种责任”，每位干部既要干事，还不能出事，一手抓发展，一手抓#，“两手抓、两手都要硬”。', '廉政', 'B');
INSERT INTO `question` VALUES ('293', '在解放区的土地改革运动中颁布的土地法案是《#》。', '中国土地法大纲', 'B');
INSERT INTO `question` VALUES ('294', '20世纪60年代被誉为“党的好干部”的是：#。', '焦裕禄', 'B');
INSERT INTO `question` VALUES ('295', '延安整风运动的基本方针是“惩前毖后、#”。', '治病救人', 'B');
INSERT INTO `question` VALUES ('296', '党的问责工作应当坚持的原则是：依规依纪、实事求是，#、问责必严，惩前毖后、治病救人，分级负责、层层落实责任。', '失责必问', 'B');
INSERT INTO `question` VALUES ('297', '改进工作作风、密切联系群众的“八项规定”由：改进调查研究、#、精简文件简报、规范出访活动、改进警卫工作、改进新闻报道、严格文稿发表、厉行勤俭节约。', '精简会议活动', 'B');
INSERT INTO `question` VALUES ('298', '严格区分和正确处理敌我矛盾和#矛盾这两种不同性质的矛盾。', '人民内部', 'B');
INSERT INTO `question` VALUES ('299', '四大危险是指精神懈怠危险、能力不足危险、#危险、消极腐败危险。', '脱离群众', 'B');
INSERT INTO `question` VALUES ('300', '十九大党章增写了必须#的发展思想。', '坚持以人民为中心', 'B');
INSERT INTO `question` VALUES ('301', '七一五“#”事件，标志着第一次国共合作全面破裂、大革命最后失败。', '分共', 'B');
INSERT INTO `question` VALUES ('302', '1964年12月至1965年1月，三届全国人大一次会议举行。这次会议提出了实现#的任务。', '四个现代化', 'B');
INSERT INTO `question` VALUES ('303', '把习近平新时代中国特色社会主义思想确立为我们党的#，这是党的十九大的一个重大历史贡献。习近平新时代中国特色社会主义思想回答了新时代坚持和发展什么样的中国特色社会主义、怎样坚持和发展中国特色社会主义这个重大课题。', '行动指南', 'B');
INSERT INTO `question` VALUES ('304', '民主生活会应当遵循“团结-批评-团结”的方针，贯彻#精神，充分发扬民主，开展积极健康的思想斗争,增强党内政治生活的政治性、时代性、原则性、战斗性。', '整风', 'B');
INSERT INTO `question` VALUES ('305', '新中国开展的“三反”运动是指反贪污、反浪费、反#。', '官僚主义', 'B');
INSERT INTO `question` VALUES ('306', '全国开展“向雷锋同志学习”的热潮始于#年。', '1963', 'B');
INSERT INTO `question` VALUES ('307', '1984年10月20日，党的十二届三中全会通过的《关于#的决定》，标志着我国经济体制改革的重点从农村转向城市。', '经济体制改革', 'B');
INSERT INTO `question` VALUES ('308', '遵守党的政治纪律和政治规矩最为核心的是坚持党的领导，坚持党的基本理论、基本路线、基本方略，同党中央保持一致，自觉维护#。', '党中央权威', 'B');
INSERT INTO `question` VALUES ('309', '党员要做到的“四个合格”是指：政治合格、#合格、品德合格、发挥作用合格。', '执行纪律', 'B');
INSERT INTO `question` VALUES ('310', '坚定#是开展党内政治生活的首要任务。', '理想信念', 'B');
INSERT INTO `question` VALUES ('311', '党的纪律处分工作应当坚持的原则有:坚持#、全面从严治党；党纪面前一律平等；实事求是;民主集中制;惩前毖后、治病救人。', '党要管党', 'B');
INSERT INTO `question` VALUES ('312', '“三个代表”重要思想的本质是立党为公、#。', '执政为民', 'B');
INSERT INTO `question` VALUES ('313', '皖南事变：#年1月4日，新四军军部及所属的支队9000多人由云岭出发北移。6日，行至安徽泾县茂林时，遭到国民党军队8万多人的伏击。新四军奋战七昼夜，弹尽粮绝，除2000余人突围外，大部分被俘或牺牲。', '1941', 'B');
INSERT INTO `question` VALUES ('314', '#年9月，第一届全国人民代表大会第一次会议在北京举行。会议的召开，标志着人民代表大会制度作为新中国的根本政治制度正式确立。', '1954', 'B');
INSERT INTO `question` VALUES ('315', '#是民主基础上的集中和集中指导下的民主相结合，它既是党的根本组织原则，也是群众路线在党的生活中的运用。', '民主集中制', 'B');
INSERT INTO `question` VALUES ('316', '党的基层委员会、总支部委员会、支部委员会每届任期#至五年。', '三年', 'B');
INSERT INTO `question` VALUES ('317', '坚持“三会一课”制度，党员必须参加党员大会、#和上党课，党支部要定期召开支部委员会会议。', '党小组会', 'B');
INSERT INTO `question` VALUES ('318', '《党章》规定，发展党员，必须把政治标准放在首位，必须经过党的支部，坚持#的原则。', '个别吸收', 'B');
INSERT INTO `question` VALUES ('319', '我国社会主义初级阶段开始于#年。', '1956', 'B');
INSERT INTO `question` VALUES ('320', '“三型”政党是指：建设#、服务型、创新型的马克思主义执政党。', '学习型', 'B');
INSERT INTO `question` VALUES ('321', '标志着中国由国内战争走向抗日民族解放战争的转折点的事件是#的和平解决。', '西安事变', 'B');
INSERT INTO `question` VALUES ('322', '党的十一届#中全会通过了《关于党内政治生活的若干准则》。', '五', 'B');
INSERT INTO `question` VALUES ('323', '各级党委(党组)要建立健全意识形态领域问题每#分析研判机制。每年至少在党内通报一次意识形态领域情况，统一思想认识，明确工作方向。各级党委(党组)每半年要向上级党委专题汇报一次意识形态工作。', '季度', 'B');
INSERT INTO `question` VALUES ('324', '党的十一届六中全会通过的《关于建国以来党的若干历史问题的决议》 ,标志着党胜利地完成了#上的拨乱反正。', '指导思想', 'B');
INSERT INTO `question` VALUES ('325', '党的“四条路线”是指：#路线、思想路线、组织路线、群众路线。', '政治', 'B');
INSERT INTO `question` VALUES ('326', '我们党的最大政治优势是密切联系群众，党执政后的最大危险是#。', '脱离群众', 'B');
INSERT INTO `question` VALUES ('327', '中国共产党第一次全国代表大会#年7月23日举行，会场设在上海法租界望志路106号（今兴业路76号）。最后一天的会议转移到浙江嘉兴南湖的游船上举行。', '1921', 'B');
INSERT INTO `question` VALUES ('328', '党政军民学,东西南北中,#。', '党是领导一切的', 'B');
INSERT INTO `question` VALUES ('329', '解放战争时期,人民解放军进行战略决战的三大战役是辽沈战役、#战役、平津战役。', '淮海', 'B');
INSERT INTO `question` VALUES ('330', '党的三大历史任务是：推进现代化建设、#、维护世界和平与促进共同发展。', '完成祖国统一', 'B');
INSERT INTO `question` VALUES ('331', '红军长征#年10月起至1936年10月止。', '1934', 'B');
INSERT INTO `question` VALUES ('332', '习近平总书记指出，作风建设关键要在抓常、抓细、#上下功夫。', '抓长', 'C');
INSERT INTO `question` VALUES ('333', '习近平总书记要求要学习焦裕禄同志的“三股劲”是：对群众的亲劲、抓工作的韧劲、#。', '干事业的拼劲', 'C');
INSERT INTO `question` VALUES ('334', '习近平总书记在兰考县委常委扩大会议上指出，要特别学习弘扬#同志“心中装着全体人民，唯独没有他自己”的公仆情怀;凡事探求就里、“吃别人嚼过的馍没味道”的求实作风;“敢教日月换新天”、“革命者要在困难面前逞英雄”的奋斗精神;艰苦朴素、廉洁奉公、“任何时候都不搞特殊化”的道德情操。', '焦裕禄', 'C');
INSERT INTO `question` VALUES ('335', '2017年6月14日，习近平总书记在会见卢森堡首相贝泰尔时指出，要深化双方在“一带一路”建设框架内金融和产能等合作，中方支持建设郑州一卢森堡“#之路”。', '空中丝绸', 'C');
INSERT INTO `question` VALUES ('336', '习近平总书记要求河南着力打好的“四张牌”有：以发展优势产业为主导推进产业结构优化升级，以构建自主创新体系为主导推进创新驱动发展，以强化基础能力建设为主导推进培育发展新优势，以#推进新型城镇化。', '人为核心', 'C');
INSERT INTO `question` VALUES ('337', '“十四五”时期经济社会发展必须遵循的原则是：坚持#，坚持以人民为中心，坚持新发展理念，坚持深化改革开放，坚持系统观念。', '党的全面领导', 'C');
INSERT INTO `question` VALUES ('338', '党的十九届五中全会提出，综合分析国内外形势，当前和今后一个时期，我国发展仍然处于#机遇期，但机遇和挑战都有新的发展变化。', '重要战略', 'C');
INSERT INTO `question` VALUES ('339', '在构建自主创新体系为主导推进创新驱动发展方面，习近平总书记指出，要坚持实施#发展战略，坚持需求导向、问题导向，努力推进科技创新、企业创新、产品创新、市场创新，向创新要活力，向创新要动力，向创新要出路，向创新要效益。', '创新驱动', 'C');
INSERT INTO `question` VALUES ('340', '在强化基础能力建设为主导推进培育发展新优势方面，习近平总书记指出，要突出重点、弥补短板、强化弱项，加强交通、信息、能源、生态环境等重大基础设施建设，以#互联互通为纽带，推动局部优势向综合优势转变。', '基础设施', 'C');
INSERT INTO `question` VALUES ('341', '习近平总书记指出，河南农业农村工作重点要抓#、现代农业建设、城乡一体化建设。', '粮食生产', 'C');
INSERT INTO `question` VALUES ('342', '习近平总书记指出，在以人为核心推进新型城镇化方面，要把培育产业放在推进新型城镇化工作的首位，注重解决#就业问题。', '进城农民', 'C');
INSERT INTO `question` VALUES ('343', '习近平总书记强调的乡镇工作“三结合”是指：把改进作风和增强党性结合起来，把为群众办事和提高群众工作能力结合起来，把抓发展和#结合起来，以实实在在的成效取信于民。', '抓党建', 'C');
INSERT INTO `question` VALUES ('344', '党的十九届五中全会提出，全面建成小康社会、实现第一个百年奋斗目标之后，我们要乘势而上开启全面建设社会主义现代化国家新征程、向第二个百年奋斗目标进军，这标志着我国进入了一个#阶段。', '新发展', 'C');
INSERT INTO `question` VALUES ('345', '党的十九届五中全会提出，坚持#在意识形态领域的指导地位，坚定文化自信，坚持以社会主义核心价值观引领文化建设，加强社会主义精神文明建设，围绕举旗帜、聚民心、育新人、兴文化、展形象的使命任务，促进满足人民文化需求和增强人民精神力量相统一，推进社会主义文化强国建设。', '马克思主义', 'C');
INSERT INTO `question` VALUES ('346', '“十四五”时期经济社会发展的主要目标。一是经济发展取得新成效；二是改革开放迈出新步伐；三是社会文明程度得到新提高；四是生态文明建设实现新进步；五是民生福祉达到新水平；六是#效能得到新提升。', '国家治理', 'C');
INSERT INTO `question` VALUES ('347', '习近平总书记指出，#是河南的一大优势，也是河南的一张王牌。这张王牌任何时候都不能丢。突破粮食生产瓶颈，根本在耕地、命脉在水利、出路在科技、动力在政策。', '粮食生产', 'C');
INSERT INTO `question` VALUES ('348', '习近平总书记指出，亲民爱民、艰苦奋斗、科学求实、迎难而上、无私奉献的#精神,过去是、现在是、将来仍然是我们党的宝贵精神财富,永远不会过时。', '焦裕禄', 'C');
INSERT INTO `question` VALUES ('349', '“十四五”时期经济社会发展的指导思想是：高举中国特色社会主义伟大旗帜，深入贯彻党的十九大和十九届二中、三中、四中、五中全会精神，坚持以马克思列宁主义、毛泽东思想、邓小平理论、“三个代表”重要思想、#、习近平新时代中国特色社会主义思想为指导。', '科学发展观', 'C');
INSERT INTO `question` VALUES ('350', '习近平总书记强调的县域治理“三起来”是指：把强县和富民统一起来，把改革和发展结合起来，把#贯通起来。', '城镇和乡村', 'C');
INSERT INTO `question` VALUES ('351', '习近平总书记指出，要强化党组织和党员的角色意识和#意识,使爱党、忧党、兴党、护党成为各级党组织和广大党员的自觉行动。', '政治担当', 'C');
INSERT INTO `question` VALUES ('352', '党的十九届五中全会提出，形成强大国内市场，构建新发展格局。坚持扩大内需这个战略基点，加快培育完整内需体系，把实施扩大内需战略同深化供给侧结构性改革有机结合起来，以创新驱动、#引领和创造新需求。', '高质量供给', 'C');
INSERT INTO `question` VALUES ('353', '党的十九届五中全会召开的时间：#年10月26至29日。', '2020', 'C');
INSERT INTO `question` VALUES ('354', '习近平总书记在郑州调研过程中多次指出，河南要建成连通境内外、辐射东中西的物流通道枢纽，为丝绸之路经济带建设多作贡献；勉励河南要朝着“#、卖全球”的战略目标迈进。', '买全球', 'C');
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-- ----------------------------
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INSERT INTO `student` VALUES ('20211040006', '李 庆', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040007', '赵 璐', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040008', '陈 静', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040009', '阮 征', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040010', '李胜利', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040011', '王 辉', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040012', '魏国强', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040013', '郎明现', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040014', '王红航', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040015', '曲 涛', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040016', '刘帅武', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040017', '席 畅', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040018', '曾小平', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040019', '杨长春', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040020', '周 垚', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040021', '吕志刚', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040022', '乔敬伟', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040023', '孔德高', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040024', '黄振涛', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040025', '乔保军', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040026', '白鑫刚', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040027', '杜泽兵', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040028', '蒋笃君', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040029', '樊新生', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040030', '张志增', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040031', '杨 波', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040032', '朱四倍', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040033', '陆志国', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040034', '毛艳丽', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040035', '王新武', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040036', '陈 华', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040037', '雷振山', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040038', '任经辉', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040039', '万 军', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040040', '赵 阳', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040041', '张巍远', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040042', '白 洋', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040043', '张四化', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040044', '王亚楠', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040045', '孙素娟', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040046', '郭 伟', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040047', '王麟乐', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040048', '赵丰丰', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20211040049', '王松宽', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20120129009', '韩越桥', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('20120111005', '李远宏', '1', '0', '0', '1', '188', '332');
INSERT INTO `student` VALUES ('12345678910', '测试1', '5', '150', '32', '25', '330', '336');
| true |
ed4ce757bcce8f87e773381eed6df0d6211887a0 | SQL | pronull/springbootdemo | /myspringboot/dao/src/main/resources/sql/v1.0.1.sql | UTF-8 | 1,501 | 3.015625 | 3 | [] | no_license | use myDB;
CREATE TABLE `user` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增ID',
`name` varchar(12) DEFAULT '' COMMENT '名称',
`age` int(3) unsigned DEFAULT 0 COMMENT '年龄',
`height` decimal(3,2) unsigned DEFAULT 0.00 COMMENT '身高',
`weight` decimal(3,2) DEFAULT 0.00 COMMENT '重量',
`telephone` varchar(36) DEFAULT '' COMMENT '电话',
`qq` int(10) DEFAULT 0 COMMENT 'qq',
`create_time` varchar(36) DEFAULT '' COMMENT '创建时间',
`user_account` varchar(36) DEFAULT '' COMMENT '帐号',
`user_password` varchar(36) DEFAULT '' COMMENT '密码',
`email` varchar(36) DEFAULT '' COMMENT 'email',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COMMENT='测试';
drop table if exists `music`;
CREATE TABLE `music` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增ID',
`music_id` varchar(36) DEFAULT 0 COMMENT 'musicId',
`music_name` varchar(36) DEFAULT '' COMMENT 'musicName',
`music_author` varchar(36) DEFAULT '' COMMENT 'author',
`music_collection` varchar(36) DEFAULT '' COMMENT 'Collection',
`music_file_address` varchar(512) DEFAULT '' COMMENT 'address',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COMMENT='music';
INSERT INTO `user`( `name` , age , height , weight , telephone , qq , create_time , user_account , user_password , email) VALUES( '王老吉' , 10 , 1.23 , 1.25 , '182223333' , 231456789 , CURDATE() , 'admin' , '123456' , '123@qq.com');
| true |
3cc10912b26eceb4d7ef3167b1049c4bc999cbda | SQL | NickolaiWinther/FancyClothes | /fancyclothes.sql | UTF-8 | 5,556 | 3.359375 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 4.8.5
-- https://www.phpmyadmin.net/
--
-- Vært: 127.0.0.1
-- Genereringstid: 28. 06 2019 kl. 09:25:48
-- Serverversion: 10.1.40-MariaDB
-- PHP-version: 7.3.5
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: `fancyclothes`
--
-- --------------------------------------------------------
--
-- Struktur-dump for tabellen `categories`
--
CREATE TABLE `categories` (
`categoryId` int(5) NOT NULL,
`name` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Data dump for tabellen `categories`
--
INSERT INTO `categories` (`categoryId`, `name`) VALUES
(1, 'Bukser'),
(2, 'Jakker'),
(3, 'Skjorter'),
(4, 'Strik'),
(5, 'T-shirts og tanktops'),
(6, 'Tasker'),
(7, 'Sko');
-- --------------------------------------------------------
--
-- Struktur-dump for tabellen `products`
--
CREATE TABLE `products` (
`productId` int(5) NOT NULL,
`heading` varchar(100) NOT NULL,
`imgSrc` varchar(100) NOT NULL,
`imgAlt` varchar(200) NOT NULL,
`timestamp` int(10) NOT NULL,
`content` varchar(5000) NOT NULL,
`userId` int(5) NOT NULL,
`stars` int(1) NOT NULL,
`categoryId` int(5) NOT NULL,
`price` double(10,2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Data dump for tabellen `products`
--
INSERT INTO `products` (`productId`, `heading`, `imgSrc`, `imgAlt`, `timestamp`, `content`, `userId`, `stars`, `categoryId`, `price`) VALUES
(1, 'Herre Skjorte', 'herre-skjorte.jpg', 'blå herreskjorte', 1561453017, 'Blå herre skjorte Lorem ipsum dolor, sit amet consectetur adipisicing elit. Delectus molestiae commodi laborum praesentium deserunt, nostrum doloribus similique quam, nisi facere, error omnis nam rem? Distinctio reiciendis quos fuga modi. Sunt.', 1, 4, 3, 340.00),
(2, 'Brune arbejdssko', 'arbejdssko.jpg', 'Brune arbejdssko', 1561456141, 'Brune arbejdssko Lorem ipsum, dolor sit amet consectetur adipisicing elit. Debitis autem officia sed voluptatem, neque possimus repudiandae voluptatibus. Commodi consectetur magni earum! Veniam odit id quisquam iste voluptates tempora sapiente optio.', 1, 2, 7, 190.00),
(3, 'Læderjakke', 'læderjakke.jpg', 'Læderjakke', 1561456209, 'Læderjakke Lorem ipsum dolor sit amet, consectetur adipisicing elit. Laudantium ipsa maxime inventore rem odit repellat doloribus delectus vitae sit quae excepturi suscipit sed porro ipsum recusandae cupiditate, dicta voluptatibus asperiores!', 1, 4, 2, 230.00),
(4, 'Højhælede sko', 'højhælede-sko.jpg', 'Højhælede sko', 1561553361, 'Højhølede sko Lorem ipsum dolor sit amet consectetur, adipisicing elit. Temporibus voluptates nam consectetur illum nulla fugiat cum accusantium itaque modi error! Ad provident eligendi ea. Laudantium incidunt ad cum vero facilis?', 1, 4, 7, 370.00),
(6, 'Hvid dameskjorte', 'dame-skjorte.jpg', 'Hvid dameskjorte', 1561553580, 'Hvid dameskjorte Lorem ipsum dolor sit amet consectetur adipisicing elit. Fuga eos necessitatibus labore vitae non, sunt, excepturi nisi illo laboriosam, iusto earum minus? Fuga eos, odio sapiente qui labore iure dignissimos.', 2, 1, 3, 430.00),
(7, 'strik', 'strikketrøje.jpg', 'Strik', 1561630183, 'trik', 1, 3, 4, 0.00);
-- --------------------------------------------------------
--
-- Struktur-dump for tabellen `users`
--
CREATE TABLE `users` (
`userId` int(5) NOT NULL,
`username` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`accessLevel` int(1) NOT NULL,
`email` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Data dump for tabellen `users`
--
INSERT INTO `users` (`userId`, `username`, `password`, `accessLevel`, `email`) VALUES
(1, 'Nickolai', 'nickolai', 1, 'nickolai@mail.dk'),
(2, 'Level2', 'level2', 2, 'level2@mail.dk'),
(3, 'Level3', 'level3', 3, 'level3@mail.dk'),
(7, 'level3-1', '123', 3, 'level3-1@mail.dk'),
(8, 'level2-1', 'level2-1', 3, 'Level2-1@mail.dk'),
(9, 'level2-2', 'level2-2', 3, 'Level2-2@email.dk');
--
-- Begrænsninger for dumpede tabeller
--
--
-- Indeks for tabel `categories`
--
ALTER TABLE `categories`
ADD PRIMARY KEY (`categoryId`);
--
-- Indeks for tabel `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`productId`),
ADD KEY `userId` (`userId`),
ADD KEY `categoryId` (`categoryId`);
--
-- Indeks for tabel `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`userId`);
--
-- Brug ikke AUTO_INCREMENT for slettede tabeller
--
--
-- Tilføj AUTO_INCREMENT i tabel `categories`
--
ALTER TABLE `categories`
MODIFY `categoryId` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- Tilføj AUTO_INCREMENT i tabel `products`
--
ALTER TABLE `products`
MODIFY `productId` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- Tilføj AUTO_INCREMENT i tabel `users`
--
ALTER TABLE `users`
MODIFY `userId` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- Begrænsninger for dumpede tabeller
--
--
-- Begrænsninger for tabel `products`
--
ALTER TABLE `products`
ADD CONSTRAINT `products_ibfk_1` FOREIGN KEY (`categoryId`) REFERENCES `categories` (`categoryId`),
ADD CONSTRAINT `products_ibfk_2` FOREIGN KEY (`userId`) REFERENCES `users` (`userId`);
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 */;
| true |
43051dbdfc154e9f8cf6fca4f3af98e4bbe2801e | SQL | hippobyte/ClarityPPM | /Departments/bucio_group_mapping.sql | UTF-8 | 807 | 3.25 | 3 | [] | no_license | SELECT D.DEPARTCODE, D.DESCRIPTION, G.GROUP_NAME BUCIO_GROUP, L3.NAME DEPARTMENT_NAME
FROM DEPARTMENTS D,
ODF_CA_DEPARTMENT DD,
OBS_UNITS_V O,
(SELECT * FROM CMN_SEC_GROUPS_V WHERE LANGUAGE_CODE = 'en') G,
(SELECT UNIT_ID, UNIQUE_NAME, NAME
FROM WARM01.OBS_UNITS_V
WHERE DEPTH = 1 AND UNIT_MODE = 'OBS_UNIT_AND_ANCESTORS') L1,
(SELECT UNIT_ID, UNIQUE_NAME, NAME
FROM WARM01.OBS_UNITS_V
WHERE DEPTH = 3 AND UNIT_MODE = 'OBS_UNIT_AND_ANCESTORS') L3
WHERE D.ID = DD.ID
AND D.OBS_UNIT_ID = O.LINKED_UNIT_ID
AND D.OBS_UNIT_ID = L1.UNIT_ID
AND D.OBS_UNIT_ID = L3.UNIT_ID
AND DD.BUCIO_GROUP = G.ID(+)
AND L1.UNIQUE_NAME = 'cid_external'
AND O.DEPTH = 5
AND O.UNIT_MODE = 'OBS_UNIT_ONLY' | true |
1e24c737b96940a0cdf41df69ba339451b377aaa | SQL | XianFeng-GitHubPortfolio/SQLZoo | /7b. JOIN quiz 2.sql | UTF-8 | 2,068 | 4.53125 | 5 | [] | no_license | -- 1. Select the statement which lists the unfortunate directors of the movies which have caused financial loses (gross < budget).
SELECT
name
FROM
actor INNER JOIN movie ON actor.id = director
WHERE
gross < budget;
-- 2. Select the correct example of JOINing three tables.
SELECT
*
FROM
actor JOIN casting ON actor.id = actorid
JOIN
movie ON movie.id = movieid;
-- 3. Select the statement that shows the list of actors called 'John' by order of number of movies in which they acted.
SELECT
name, COUNT(movieid)
FROM
casting JOIN actor ON actorid=actor.id
WHERE
name LIKE 'John %'
GROUP BY
name
ORDER BY
2 DESC
-- The ORDER BY @ DESC simply means to order the results by the second coloumn, which in this case is COUNT(movieid),
-- in descending order.
4. Select the result that would be obtained from the following code:
SELECT
title
FROM
movie JOIN casting ON (movieid=movie.id)
JOIN actor ON (actorid=actor.id)
WHERE name='Paul Hogan' AND ord = 1;
-- Table-B
-- "Crocodile" Dundee
-- Crocodile Dundee in Los Angeles
-- Flipper
-- Lightning Jack
5. Select the statement that lists all the actors that starred in movies directed by Ridley Scott who has id 351.
SELECT
name
FROM
movie JOIN casting ON movie.id = movieid
JOIN actor ON actor.id = actorid
WHERE
ord = 1 AND director = 351
-- 6. There are two sensible ways to connect movie and actor. They are:
-- - link the director column in movies with the primary key in actor
-- - connect the primary keys of movie and actor via the casting table
-- 7. Select the result that would be obtained from the following code:
SELECT
title, yr
FROM
movie, casting, actor
WHERE
name='Robert De Niro' AND movieid=movie.id AND actorid=actor.id AND ord = 3
-- Table-B
-- A Bronx Tale | 1993
-- Bang the Drum Slowly | 1973
-- Limitless | 2011
-- In this question, we joined the three tables in the database via the WHERE clause. This was
-- supposedly the old syntax for joining tables in SQL.
| true |
e03586fb95fea553681a76684100dd0d651b9cea | SQL | BancoDatosNaturaleza/Listas_IEPNB | /Sentencias_SQL/Sentencias_LC/LC_IFN_ImportanciaDanio.sql | UTF-8 | 553 | 2.515625 | 3 | [] | no_license | CREATE TABLE "LC_IFN_IMPORTANCIADANIO"
( "ID_IMPORTDANIO" NUMBER(1) NOT NULL,
"NB_IMPORTDANIO" VARCHAR2(20) NULL,
CONSTRAINT "PK_LC_IFN_IMPORTANCIADANIO" PRIMARY KEY ("ID_IMPORTDANIO")
)
;
/*Insert "LC_IFN_IMPORTANCIADANIO"*/
Insert into LC_IFN_IMPORTANCIADANIO
(ID_IMPORTDANIO,NB_IMPORTDANIO)
values
('1','Pequeña');
Insert into LC_IFN_IMPORTANCIADANIO
(ID_IMPORTDANIO,NB_IMPORTDANIO)
values
('2','Mediana');
Insert into LC_IFN_IMPORTANCIADANIO
(ID_IMPORTDANIO,NB_IMPORTDANIO)
values
('3','Grande'); | true |
62e0fc5bf20f9f3f88ff6e38f28bb9386470880e | SQL | mslisa/MIDS-W205 | /exercise_1/transforming/hospitals.sql | UTF-8 | 402 | 3 | 3 | [] | no_license | DROP TABLE IF EXISTS hospitals;
CREATE TABLE hospitals
ROW FORMAT DELIMITED
STORED AS TEXTFILE
AS
SELECT
ProviderID providerID
,HospitalName hospitalName
,Address address
,City city
,State state
,ZIPCode zip
,CountyName county
,PhoneNumber phone
,HospitalType hospitalType
,HospitalOwnership hospitalOwner
,EmergencyServices emergency
FROM hospitals_temp
SORT BY providerID; | true |
cb9567d271dcfc433dbc87c838873dd616e010f8 | SQL | yunhy97/SQL-Study | /JSP관련 SQL 1_1.sql | UHC | 1,761 | 4.15625 | 4 | [] | no_license | --ֱ
--åȣ 5° å ȸϱ
select num, book_no, book_title,book_writer, book_price
from (select row_number() over(order by book_no desc) num , book_no, book_title,book_writer, book_price
from sample_books)
where num <=5 ;
select book_no, book_title,book_writer, book_price
from (select book_no, book_title,book_writer, book_price
from sample_books
order by book_no desc)
where rownum <=5 ;
--ֱ
-- 5° ڱ ȸϱ
select num,user_id, user_name, user_email, user_registered_date
from(select row_number() over(order by user_registered_date desc) num, user_id, user_name, user_email, user_registered_date
from sample_book_users)
where num <=5;
select user_id, user_name, user_email, user_registered_date
from(select user_id, user_name, user_email, user_registered_date
from sample_book_users
order by user_registered_date desc)
where rownum <=5;
select book_no, book_title, book_writer, book_publisher, book_point, book_price,
(select count(*) from sample_book_reviews where book_no = A.book_no) review_cnt,
book_price, book_discount_price, book_likes, book_stock
from sample_books A
where book_no= 10010;
select A.review_no, B.user_name, A.review_point, A.review_content, a.review_registered_date
from sample_book_reviews A, sample_book_users B
where A.user_id = B.user_id
and A.book_no = 10004;
select book_no, book_title, book_writer, book_genre, book_publisher, book_price, book_discount_price, book_registered, book_stock, book_point, book_likes
from sample_books;
delete from sample_books
where book_no=10020;
commit; | true |
83a8c6e7a5e6d05570d0194cd160433cfeed5c02 | SQL | ProfDema/uam | /pam/examples/anon_data/group_0085/a2.sql | UTF-8 | 3,956 | 4.125 | 4 | [] | no_license | -- Add below your SQL statements.
-- You can create intermediate views (as needed). Remember to drop these views after you have populated the result tables.
-- You can use the "\i a2.sql" command in psql to execute the SQL commands in this file.
SET search_path TO A2;
-- Query 1 statements
CREATE VIEW mytable AS
SELECT C1.cid AS cuid, C1.cname AS cuname, C2.cid AS refid, C2.cname AS refname, R.custid, R.custref
FROM customer C1, customer C2, referral R
WHERE C1.cid = R.custref AND C2.cid = R.custid;
INSERT INTO QUERY1
(SELECT cuid, cuname, refid, refname
FROM mytable
ORDER BY cuname ASC);
DROP VIEW mytable;
-- Query 2 statements
CREATE VIEW stock_orders AS SELECT o.oid as oid, o.pid as pid, s.wid as wid, o.quantity as ordqty, s.quantity as stockqty FROM orders AS o JOIN stock AS s ON o.pid = s.pid WHERE o.status='O';
INSERT INTO QUERY2 (SELECT * FROM stock_orders WHERE ordqty > stockqty);
DROP VIEW stock_orders;
-- Query 3 statements
CREATE VIEW sales AS
SELECT cid, SUM(price*quantity) AS totalsales
FROM orders
WHERE status = 'S'
GROUP BY cid;
CREATE VIEW custSales AS
SELECT cid, cname, totalsales
FROM customer NATURAL JOIN sales;
INSERT INTO QUERY3
(SELECT cid AS cuid, cname AS cuname, totalsales
FROM custSales
ORDER BY totalsales DESC);
DROP VIEW custSales;
DROP VIEW sales;
-- Query 4 statements
CREATE VIEW sales AS SELECT * FROM product NATURAL JOIN orders WHERE status = 'S';
CREATE VIEW costs AS SELECT pid, pname, sum(cost * quantity) AS totalcost FROM sales GROUP BY (pid, pname);
INSERT INTO QUERY4 (SELECT * FROM costs ORDER BY totalcost ASC);
DROP VIEW costs;
DROP VIEW sales;
-- Query 5 statements
CREATE VIEW prods AS
SELECT pid, pname, introdate
FROM product
WHERE pid NOT IN (SELECT pid FROM orders);
INSERT INTO Query5
(SELECT *
FROM prods
ORDER BY pname ASC);
DROP VIEW prods;
-- Query 6 statements
CREATE VIEW customer_orders AS SELECT * FROM customer WHERE cid NOT IN (SELECT cid FROM orders);
INSERT INTO QUERY6 (SELECT cid, cname, lid as locname FROM customer_orders ORDER BY cname ASC);
DROP VIEW customer_orders;
-- Query 7 statements
CREATE VIEW tableA AS
SELECT CAST(((to_char(odate,'yyyy')::text)||to_char(odate,'mm')::text) AS integer) AS period,
SUM(quantity*price) AS sales, SUM(quantity*cost) AS cost
FROM product NATURAL JOIN orders
GROUP BY period;
INSERT INTO QUERY7
(SELECT *
FROM tableA
ORDER BY period ASC);
DROP VIEW tableA;
-- Query 8 statements
CREATE VIEW referrals AS SELECT * FROM customer NATURAL JOIN referral WHERE customer.cid = referral.custid;
CREATE VIEW sales as SELECT referrals.cid, referrals.cname, sum(commission*quantity*price)
FROM referrals JOIN orders ON referrals.custref = orders.cid
GROUP BY(cname, referrals.cid);
INSERT INTO QUERY8 (SELECT * FROM sales ORDER BY cname ASC);
DROP VIEW sales;
DROP VIEW referrals;
-- Query 9 statements
CREATE VIEW salesTable AS
SELECT pid, SUM(quantity*price) AS sales
FROM orders
WHERE status = 'S'
GROUP BY pid;
CREATE VIEW prods AS
SELECT pid, introdate AS date, sales AS totalsales
FROM product NATURAL JOIN salesTable
WHERE introdate <= '2015-12-31';
INSERT INTO QUERY9
(SELECT *
FROM prods
ORDER BY date ASC);
DROP VIEW prods;
DROP VIEW salesTable;
-- Query 10 statements
CREATE VIEW warehouseSales AS
SELECT shipwid AS wid, sum(price*quantity) AS sales
FROM orders
WHERE status = 'S'
GROUP BY shipwid;
CREATE VIEW loc AS
SELECT lid, lname, wid
FROM location NATURAL LEFT OUTER JOIN warehouse;
CREATE VIEW locSales AS
SELECT lid, lname, coalesce(sales, 0) AS sales
FROM loc NATURAL LEFT OUTER JOIN warehouseSales;
INSERT INTO QUERY10
(SELECT lid, lname, SUM(sales) AS totalsales
FROM locSales
GROUP BY (lid, lname)
ORDER BY lname ASC);
DROP VIEW locSales;
DROP VIEW loc;
DROP VIEW warehouseSales;
| true |
29dda1ad5c0635f7d887e398b5afcd03719dce93 | SQL | BourdonAlexis/Depot-Git | /Eval sql/Exercice 2 - 4 - Liste des clients Français ayant plus de 10 commandes.sql | UTF-8 | 247 | 3.96875 | 4 | [] | no_license | SELECT CompanyName AS 'Client', COUNT(orders.CustomerID) AS 'Nombres de commandes'
FROM customers
JOIN orders
ON customers.CustomerID = orders.CustomerID
WHERE customers.Country = 'France'
GROUP BY CompanyName
HAVING COUNT(orders.CustomerID) > 10; | true |
4df9da7d75e7e92fb679e44a768afd49fcdaa9fb | SQL | Git-PedroNeri/syslog-api | /src/main/resources/db/migration/V003__create-table-entrega.sql | UTF-8 | 529 | 2.96875 | 3 | [] | no_license | create table if not exists entrega (
id bigint auto_increment,
cliente_id bigint not null,
taxa decimal (10,2) not null,
status varchar(20) not null,
dt_pedido datetime not null,
dt_finalizacao datetime,
destinatario_nome varchar(60) not null,
destinatario_logradouro varchar(255) not null,
destinatario_numero varchar(30) not null,
destinatario_complemento varchar(60) not null,
destinatario_bairro varchar(30)not null,
destinatario_cep varchar(15) not null,
primary key (id),
foreign key (cliente_id) references cliente (id)
); | true |
7f7835324a8e377597d2ecbb4cdeca5bce4a5bf6 | SQL | nixsala/Motor-Ride-SSD- | /WebContent/MySQLdatabase/motorbike_bike.sql | UTF-8 | 3,255 | 2.984375 | 3 | [] | no_license | CREATE DATABASE IF NOT EXISTS `motorbike` /*!40100 DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci */ /*!80016 DEFAULT ENCRYPTION='N' */;
USE `motorbike`;
-- MySQL dump 10.13 Distrib 8.0.20, for Win64 (x86_64)
--
-- Host: localhost Database: motorbike
-- ------------------------------------------------------
-- Server version 8.0.20
/*!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 */;
/*!50503 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 */;
--
-- Table structure for table `bike`
--
DROP TABLE IF EXISTS `bike`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!50503 SET character_set_client = utf8mb4 */;
CREATE TABLE `bike` (
`bikeid` int NOT NULL,
`availabledays` int DEFAULT NULL,
`price` varchar(255) DEFAULT NULL,
`bikenumber` varchar(255) DEFAULT NULL,
`biketype` varchar(255) DEFAULT NULL,
`bikename` varchar(255) DEFAULT NULL,
`bikebrand` varchar(255) DEFAULT NULL,
`bikeplace` varchar(255) DEFAULT NULL,
`description` varchar(255) DEFAULT NULL,
`distanceallowed` varchar(255) DEFAULT NULL,
PRIMARY KEY (`bikeid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `bike`
--
LOCK TABLES `bike` WRITE;
/*!40000 ALTER TABLE `bike` DISABLE KEYS */;
INSERT INTO `bike` VALUES (1,4,'2300','BBM 2754','fat bike','Honda CBR 250R','Honda','JAffna','Nice to ride','200KM'),(2,4,'800','BSU 9009','ladies bike','Honda Dio XR','Honda','Jaffna','Nice to ride and neat condition','100KM'),(3,2,'2400','BMU 0009','naked sport bike','KTM Dio XR','KTM','Nelliady','Nice to ride and neat condition','300KM'),(4,5,'2200','BEE 0781','naked sport','Pulser NS200','Bajaj','Poinr Pedro','Nice to ride and neat condition','400KM'),(5,1,'2400','BSU 4039','sport bike','Pulser RS200','Bajaj','Koopai','Nice to ride and neat condition','3000KM'),(6,2,'2500','BDQ 0012','scopper','Royal Enfeild Classic 350','Royal Enfeild','Jaffna','Nice to ride and neat condition','100KM'),(7,7,'2500','BMS 1006','Sport','Yamaha R15','Yamaha','Jaffna','Nice to ride and neat condition','300KM'),(8,3,'900','BDM 8929','ladies bike','Yamaha fasino','Yamaha','Jaffna','Nice to ride and neat condition','100KM');
/*!40000 ALTER TABLE `bike` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!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 */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2020-05-15 8:04:05
| true |
7dba5363514818b3d7b8a3f5ca4e5697b5c05111 | SQL | Aman100/Distribution-Management-System | /src/main/java/com/dms/script.sql | UTF-8 | 3,627 | 3.3125 | 3 | [] | no_license | CREATE TABLE retailer_sales_report
(
c_id INT,
r_id INT,
FOREIGN KEY(r_id) references retailer(r_id),
FOREIGN KEY(c_id) references customer(c_id),
simcards_sold INT,
recharge_coupons_sold INT,
e_topups_sold INT
);
CREATE TABLE sim_cards
(
sim_id INT PRIMARY KEY AUTO_INCREMENT,
sim_name varchar(25) UNIQUE NOT NULL,
price INT NOT NULL,
description varchar(100) NOT NULL
);
CREATE TABLE retailer_inventory
(
r_id INT,
sim_id INT,
rc_id INT,
et_id INT,
FOREIGN KEY(r_id) references retailer(r_id),
FOREIGN KEY(sim_id) references sim_cards(sim_id),
FOREIGN KEY(rc_id) references recharge_coupons(rc_id),
FOREIGN KEY(et_id) references E_topups(et_id),
sim_quantity INT NOT NULL,
recharge_coupons_quantity INT NOT NULL,
E_topups_quantity INT NOT NULL
);
CREATE TABLE distributor_inventory
(
d_id INT,
sim_id INT,
rc_id INT,
et_id INT,
FOREIGN KEY(d_id) references distributor(d_id),
FOREIGN KEY(sim_id) references sim_cards(sim_id),
FOREIGN KEY(rc_id) references recharge_coupons(rc_id),
FOREIGN KEY(et_id) references E_topups(et_id),
sim_quantity INT NOT NULL,
recharge_coupons_quantity INT NOT NULL,
E_topups_quantity INT NOT NULL
);
CREATE TABLE E_topups
(
et_id INT PRIMARY KEY AUTO_INCREMENT,
et_name varchar(45) NOT NULL,
price INT NOT NULL,
et_description varchar(100)
);
CREATE TABLE recharge_coupons
(
rc_id INT PRIMARY KEY AUTO_INCREMENT,
rc_name varchar(45) NOT NULL,
price INT NOT NULL,
rc_description varchar(100)
);
CREATE TABLE retailer
(
r_id INT PRIMARY KEY AUTO_INCREMENT,
r_name varchar(30) NOT NULL,
area varchar(20) NOT NULL,
address varchar(50) NOT NULL
);
CREATE TABLE distributor
(
d_id INT PRIMARY KEY AUTO_INCREMENT,
d_name varchar(30) NOT NULL,
area varchar(20) NOT NULL,
address varchar(50) NOT NULL
);
CREATE TABLE retailer_distributor_mapping
(
r_id INT,
d_id INT,
FOREIGN KEY(r_id) references retailer_inventory(r_id),
FOREIGN KEY(d_id) references distributor_inventory(d_id)
);
CREATE TABLE distributor_sales_report
(
r_id INT,
d_id INT,
FOREIGN KEY(r_id) references distributor(d_id),
FOREIGN KEY(r_id) references retailer(r_id),
simcards_sold INT,
recharge_coupons_sold INT,
e_topups_sold INT
);
CREATE TABLE retailer_purchase_report
(
d_id INT,
r_id INT,
FOREIGN KEY(d_id) references retailer(r_id),
FOREIGN KEY(d_id) references distributor(d_id),
simcards_purchased INT,
recharge_coupons_purchased INT,
e_topups_purchased INT
);
CREATE TABLE customer
(
c_id INT PRIMARY KEY AUTO_INCREMENT,
c_name varchar(30) NOT NULL
);
insert into distributor(d_name,area,address) values('razorpay','ujjain','addr1');
insert into distributor(d_name,area,address) values('cartecop','ujjain','addr2');
insert into distributor(d_name,area,address) values('dotcorp','indore','addr3');
insert into distributor(d_name,area,address) values('caretech','bhopal','addr4');
insert into distributor(d_name,area,address) values('netmax','jabalpur','addr5');
insert into sim_cards(sim_name,price,description) values('AIRTEL',50,'Talktime unlimited 1 month');
insert into sim_cards(sim_name,price,description) values('JIO',90,'Talktime unlimited 1 month and 20GB NET');
insert into recharge_coupons(rc_name,price,rc_description) values('AIRTEL',10,'1 GB NET');
insert into recharge_coupons(rc_name,price,rc_description) values('JIO',20,'3 GB NET');
insert into E_topups(et_name,price,et_description) values('AIRTEL',79,'6 GB INTERNET WILL BE ADD ON CURRENT PLAN');
insert into E_topups(et_name,price,et_description) values('JIO',89,'9 GB INTERNET WILL BE ADD ON CURRENT PLAN');
| true |
5867a3292cbf6a9441cb015a045f615cf1d0c16b | SQL | Naveen-8451/5303-Database-NaveenSheela | /sql_query.sql | UTF-8 | 4,419 | 3.6875 | 4 | [] | no_license |
### Title : Sql Flight Assignment
### Naveen Kumar Sheela
### Question 1
Print a passenger list for flight 3 on 4-1
SQL:
```
select name from passengers join pass_ticketed
on passengers.passid=pass_ticketed.passid where pass_ticketed.fltno=3
and pass_ticketed.date='4-1'
```
### Answer:
```
SELECT name
FROM pilots
JOIN pilot_assignments
JOIN aircraft_assignments ON pilot_assignments.fltno = aircraft_assignments.fltno
AND pilot_assignments.pilotid = pilots.pilotid
WHERE aircraft_assignments.acno = 'N35A'
SQL:
```
### Question 2
Print a passenger list for flight 5 on 4-2
select name from passengers join pass_ticketed
on passengers.passid=pass_ticketed.passid where pass_ticketed.fltno=5
and pass_ticketed.date='4-2'
```
### Answer:
SQL:
```
### Question 3
Print a list of all overbooked flights.
```
### Answer:
SQL:
```
### Question 4
Print a list of passengers with more than one ticket.
select name,count(name) from passengers join pass_ticketed
on passengers.passid=pass_ticketed.passid GROUP BY passengers.passid
HAVING COUNT( * ) >1
```
### Answer:
SQL:
```
### Question 5
Print a list of passengers with more than one ticket on the same day.
SELECT name
FROM passengers
JOIN pass_ticketed ON passengers.passid = pass_ticketed.passid
GROUP BY passengers.passid
HAVING COUNT( passengers.passid )>1
```
### Answer:
SQL:
```
### Question 6
Print a list of flights that use aircraft N173WY.
select distinct flights.fltno from flights join aircraft_assignments on
flights.fltno=aircraft_assignments.fltno where aircraft_assignments.acno='N173WY'
```
### Answer:
SQL:
```
### Question 7
Print a list of pilots who fly on April 1.
select name from pilots
join pilot_assignments on pilots.pilotid=pilot_assignments.pilotid
where pilot_assignments.date = '4-1'
```
### Answer:
SQL:
```
### Question 8
Print a list of pilots who fly on both days.
select name from pilots
join pilot_assignments on pilots.pilotid=pilot_assignments.pilotid
where pilot_assignments.date = '4-1' or pilot_assignments.date = '4-2'
```
### Answer:
SQL:
```
### Question 9
Print a list of pilots who have two flights on the same day.
```
### Answer:
SQL:
```
### Question 10
Print a List of flights that do not have a complete crew.
```
### Answer:
SQL:
```
### Question 11
Print of list of flights where destination is DFW.
SELECT distinct fltno from flights where destination='DFW'
```
### Answer:
SQL:
```
### Question 12
Print a list of flights where origin or destination is LAX
SELECT fltno from flights where origin='LAX' or destination='LAX'
```
### Answer:
SQL:
```
### Question 13
Print the origin and destination of flights with passenger equals Duck, Donald or Wayne, John.
select distinct origin,destination from flights join passengers
join pass_ticketed on flights.fltno=pass_ticketed.fltno
and passengers.passid=pass_ticketed.passid
where passengers.name='Duck, Donald' or passengers.name='Wayne, John'
```
### Answer:
SQL:
```
### Question 14
Print a list of flight numbers and origins.
SELECT distinct fltno,origin from flights
```
### Answer:
SQL:
```
### Question 15
Print a list of aircraft types from equipment assigned where pilot number=1030.
select distinct type from aircraft join aircraft_assignments
join pilot_assignments on aircraft.acno=aircraft_assignments.acno and
aircraft_assignments.fltno=pilot_assignments.fltno where
pilot_assignments.pilotid=1030
```
### Answer:
SQL:
```
### Question 16
Print a list of pilots who fly with at least two other pilots.
```
### Answer:
SQL:
```
### Question 17
Print a list of pilots who fly only one type of plane.
select name from pilots join pilot_assignments
on pilots.pilotid=pilot_assignments.pilotid
group by pilots.name having count(pilot_assignments.pilotid)=1
```
### Answer:
SQL:
```
### Question 18
Print a list of passengers booked on flights assigned to pilot=1030.
select distinct name,passengers.passid from passengers
join pass_ticketed join pilot_assignments on passengers.passid=
pass_ticketed.passid and pass_ticketed.fltno = pilot_assignments.fltno
where pilot_assignments.pilotid=1030
```
### Answer:
SQL:
```
### Question 19
Print a list of pilots assigned to fly plane=N35A.
SELECT name
FROM pilots
JOIN pilot_assignments
JOIN aircraft_assignments ON pilot_assignments.fltno = aircraft_assignments.fltno
AND pilot_assignments.pilotid = pilots.pilotid
WHERE aircraft_assignments.acno = 'N35A'
```
### Answer:
| true |
9ad61baea73598751ae0cfde8e91b1f16feac00e | SQL | IrohTwelve/SQLqueries | /SQLQuery17(done).sql | UTF-8 | 217 | 4.1875 | 4 | [] | no_license | SELECT ContactName, COUNT(OrderID) AS OrdersFromFrance
FROM Orders INNER JOIN Customers
ON Orders.CustomerID = Customers.CustomerID
WHERE Customers.Country LIKE 'France'
GROUP BY ContactName
HAVING COUNT(OrderID) > 1 | true |
aabbf0b4d5d193ab3357263342d19739d68bd4f0 | SQL | ujjwalsinghdev/database_sql | /2_CRUD.sql | UTF-8 | 1,120 | 3.859375 | 4 | [] | no_license | CREATE database cats;
USE cats;
create table cats
(
cat_id INT NOT NULL auto_increment,
name VARCHAR(100),
breed VARCHAR(100),
age INT,
PRIMARY KEY (cat_id)
);
DESC cats;
INSERT INTO cats(name,breed,age)
VALUES ('Ringo','Tabby',4),
('Cindy','Maine Coon',10),
('Dumbledore','Maine Coon',11),
('Egg','Persian',4),
('Misty','Tabby',13),
('George Michael','Ragdoli',9),
('Jackson','Sphynx',7);
SELECT name FROM cats;
SELECT age FROM cats;
SELECT name,age FROM cats;
SELECT breed,name,age FROM cats;
SELECT * FROM cats WHERE age=4;
SELECT * FROM cats WHERE name='egg';
SELECT cat_id FROM cats;
SELECT name, breed FROM cats;
SELECT * FROM cats WHERE breed='tabby';
SELECT * FROM cats WHERE cat_id=age;
SELECT name AS cat_name FROM cats WHERE cat_id=age;
UPDATE cats SET breed='Shorthair' WHERE breed='Tabby';
UPDATE cats SET age=14
WHERE name='Misty'
UPDATE cats SET name="Jack" WHERE name='Jackson';
UPDATE cats SET breed='British Shorthair' WHERE name="Ringo";
UPDATE cats SET age=12 WHERE breed='Maine Coon';
DELETE FROM cats WHERE age=4;
DELETE FROM cats WHERE age=cat_id;
SELECT * FROM cats;
DELETE FROM cats;
| true |
9615e6e7bc13f650226dbd58bf3150fbbd5f7f89 | SQL | radtek/abs3 | /sql/mmfo/bars/ForeignKey/tamozhdoc.sql | UTF-8 | 2,140 | 3.078125 | 3 | [] | no_license |
PROMPT =====================================================================================
PROMPT *** Run *** ========== Scripts /Sql/Bars/ForeignKey/TAMOZHDOC.sql =========*** Run **
PROMPT =====================================================================================
PROMPT *** Create constraint FK_TAMOZHDOC_CONTRACTS ***
begin
execute immediate '
ALTER TABLE BARS.TAMOZHDOC ADD CONSTRAINT FK_TAMOZHDOC_CONTRACTS FOREIGN KEY (ID)
REFERENCES BARS.CONTRACTS (ID) ENABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT *** Create constraint FK_TAMOZHDOC_TOPCONTRACTS ***
begin
execute immediate '
ALTER TABLE BARS.TAMOZHDOC ADD CONSTRAINT FK_TAMOZHDOC_TOPCONTRACTS FOREIGN KEY (PID)
REFERENCES BARS.TOP_CONTRACTS (PID) ENABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT *** Create constraint FK_TAMOZHDOC_TAMOZHDOCREESTR ***
begin
execute immediate '
ALTER TABLE BARS.TAMOZHDOC ADD CONSTRAINT FK_TAMOZHDOC_TAMOZHDOCREESTR FOREIGN KEY (IDR)
REFERENCES BARS.TAMOZHDOC_REESTR (IDR) ENABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT *** Create constraint FK_TAMOZHDOC_CUSTOMER ***
begin
execute immediate '
ALTER TABLE BARS.TAMOZHDOC ADD CONSTRAINT FK_TAMOZHDOC_CUSTOMER FOREIGN KEY (RNK)
REFERENCES BARS.CUSTOMER (RNK) ENABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT =====================================================================================
PROMPT *** End *** ========== Scripts /Sql/Bars/ForeignKey/TAMOZHDOC.sql =========*** End **
PROMPT =====================================================================================
| true |
444f31fae84f8b92df5e71360b00fd85d1dd1687 | SQL | mrsprut/ASPNET-AKL-CONTENT-TOTE | /AKL-CONTENT-TOTE/init.sql | UTF-8 | 1,444 | 2.671875 | 3 | [] | no_license | USE [Fake_SAP]
CREATE TABLE [AKL_CONTENT_TOTE] (
[id] INT IDENTITY PRIMARY KEY NOT NULL,
[vlenr] CHAR(20) NOT NULL,
[aufnr] CHAR(12) NOT NULL,
[matnr] CHAR(18) NOT NULL,
[charg] CHAR(10) NOT NULL,
[menge_aufnr] DECIMAL(16, 3) NULL,
[menge_source] DECIMAL(16, 3) NULL,
[menge_target] DECIMAL(16, 3) NULL,
[meins] CHAR(3) NULL DEFAULT 'PC',
[type_counting] CHAR(1) NULL, -- M/W/S
[workstation] CHAR(4) NULL
CHECK(
[workstation] = '01'
OR [workstation] = '02'
OR [workstation] = '03'
OR [workstation] = '04'
OR [workstation] = '05'
OR [workstation] = '06'
OR [workstation] = '07'
OR [workstation] = '08'
OR [workstation] = '09'
OR [workstation] = '10'
OR [workstation] = '11'
OR [workstation] = '12'
OR [workstation] = '13'
OR [workstation] = '14'
OR [workstation] = '15'
OR [workstation] = '16'
OR [workstation] = '17'
OR [workstation] = '18'
), -- 01 to 18
[pms_user] CHAR(12) NULL,
[pms_date] DATE NULL,
[pms_time] TIME NULL
);
SELECT * FROM [AKL_CONTENT_TOTE];
INSERT INTO [AKL_CONTENT_TOTE] ([vlenr], [aufnr], [matnr], [charg], [menge_aufnr], [menge_source],
[menge_target], [meins], [type_counting], [workstation],
[pms_user], [pms_date], [pms_time])
VALUES ('vlenr10', 'aufnr10', 'matnr10', 'charg10', 101.999, 102.999,
103.999, NULL, 'S', '05',
'user1', '12-07-2021', '15:20:00'); | true |
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