text stringlengths 6 9.38M |
|---|
-- Populate real tables from meta (IM v1)
INSERT IGNORE INTO map_node
(node, concept, draft)
SELECT DISTINCT m.node, c.dbid, false
FROM map_node_meta m
JOIN concept c ON c.id = m.concept;
--
INSERT IGNORE INTO map_context
(provider, `system`, `schema`, `table`, `column`, node, draft)
SELECT prv.dbid, sys.dbid, `schema`, `table`, `column`, n.id, false
FROM map_context_meta m
JOIN map_node n ON n.node = m.node
JOIN concept prv ON prv.id = m.provider
JOIN concept sys ON sys.id = m.system;
--
INSERT IGNORE INTO map_value_node
(node, code_scheme, `function`)
SELECT DISTINCT n.id, c.dbid, 'Regex()'
FROM map_node_regex_meta m
JOIN map_node n ON n.node = m.node
JOIN concept c ON c.id = m.scheme;
--
INSERT IGNORE INTO map_value_node
(node, code_scheme, `function`)
SELECT DISTINCT n.id, c.dbid, 'Lookup()'
FROM map_node_value_meta m
JOIN map_node n ON n.node = m.node
JOIN concept c ON c.id = m.scheme;
--
REPLACE INTO map_value_node
(node, code_scheme, `function`)
SELECT n.id, c.dbid, m.function
FROM map_function_value_meta m
JOIN map_node n ON n.node = m.node
JOIN concept c ON c.id = m.scheme;
--
REPLACE INTO map_value_node_lookup
(value_node, value, concept, draft)
SELECT v.id, m.value, c.dbid, false
FROM map_node_value_meta m
JOIN map_node n ON n.node = m.node
JOIN map_value_node v ON v.node = n.id
JOIN concept s ON s.dbid = v.code_scheme AND s.id = m.scheme
JOIN concept c ON c.id = m.concept;
--
REPLACE INTO map_value_node_regex
(value_node, value, regex, priority, concept)
SELECT v.id, m.value, m.regex, m.priority, c.dbid
FROM map_node_regex_meta m
JOIN map_node n ON n.node = m.node
JOIN map_value_node v ON v.node = n.id
JOIN concept s ON s.dbid = v.code_scheme AND s.id = m.scheme
JOIN concept c ON c.id = m.concept;
|
-- phpMyAdmin SQL Dump
-- version 4.1.12
-- http://www.phpmyadmin.net
--
-- Хост: 127.0.0.1
-- Время создания: Дек 26 2015 г., 14:09
-- Версия сервера: 5.6.16
-- Версия PHP: 5.5.11
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 */;
--
-- База данных: `electrika`
--
-- --------------------------------------------------------
--
-- Структура таблицы `catalog`
--
CREATE TABLE IF NOT EXISTS `catalog` (
`id` int(6) NOT NULL AUTO_INCREMENT,
`parent_id` int(6) NOT NULL,
`name` varchar(50) NOT NULL,
`url` varchar(50) NOT NULL,
`description` text NOT NULL,
`priority` int(2) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=13 ;
--
-- Дамп данных таблицы `catalog`
--
INSERT INTO `catalog` (`id`, `parent_id`, `name`, `url`, `description`, `priority`) VALUES
(1, 0, 'Кабель и провод', 'kabel-i-provod', 'Мы продаём самые свежие кабеля в Минске', 0),
(2, 0, 'Розетки и выключатели', 'rozetki-i-vykljuchateli', 'Мы продаём самые свежие кабеля в Минске', 0),
(3, 0, 'Корпуса металлические, боксы', 'korpusa-metallicheskie-i-boksy', 'Мы продаём самые свежие кабеля в Минске', 0),
(4, 0, 'Коробки распределительные', 'korobki-raspredelitelnye-raspajachnye', 'Мы продаём самые свежие кабеля в Минске', 0),
(5, 0, 'Модульное оборудование', 'modulnoe-oborudovanie', 'Мы продаём самые свежие кабеля в Минске', 0),
(6, 0, 'Светотехника', 'svetotehnika', 'Мы продаём самые свежие кабеля в Минске', 0),
(7, 0, 'Силовые разёмы', 'silovye-razjomy', 'Мы продаём самые свежие кабеля в Минске', 0),
(8, 0, 'Счётчики', 'schjotchiki', 'Мы продаём самые свежие кабеля в Минске', 0),
(9, 0, 'Стабилизаторы напряжения', 'stabilizatory-naprjazhenija', 'Мы продаём самые свежие кабеля в Минске', 0),
(10, 0, 'Системы для прокладки кабеля', 'sistemy-dlja-prokladki-kabelja', 'Мы продаём самые свежие кабеля в Минске', 0),
(11, 0, 'Аксесуары для монтажа', 'aksesuary-dlja-montazha', 'Мы продаём самые свежие кабеля в Минске', 0),
(12, 0, 'Труба ПНД', 'truba-pnd', 'Мы продаём самые свежие кабеля в Минске', 0);
-- --------------------------------------------------------
--
-- Структура таблицы `ph_exchange_rates`
--
CREATE TABLE IF NOT EXISTS `ph_exchange_rates` (
`currency` int(11) NOT NULL,
`name` varchar(20) NOT NULL,
`value` float NOT NULL,
PRIMARY KEY (`currency`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `ph_exchange_rates`
--
INSERT INTO `ph_exchange_rates` (`currency`, `name`, `value`) VALUES
(1, 'BYR', 1),
(2, 'USD', 18345),
(3, 'RUB', 257.67);
-- --------------------------------------------------------
--
-- Структура таблицы `ph_user`
--
CREATE TABLE IF NOT EXISTS `ph_user` (
`id` int(6) NOT NULL AUTO_INCREMENT,
`login` varchar(30) NOT NULL,
`password` varchar(32) NOT NULL,
`name` varchar(50) NOT NULL,
`role` int(4) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=2 ;
--
-- Дамп данных таблицы `ph_user`
--
INSERT INTO `ph_user` (`id`, `login`, `password`, `name`, `role`) VALUES
(1, 'admin', '57a0dcf0dcbd9050f8bc9919f11f111e', 'admin', 2);
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE TEMPORARY TABLE twitter_user (
user_id bigint NOT NULL PRIMARY KEY,
user_name varchar(20) NOT NULL,
created_on timestamp NOT NULL,
);
CREATE TEMPORARY TABLE mentions (
tweet_id bigint NOT NULL PRIMARY KEY,
created_on timestamp NOT NULL,
text varchar(160) NOT NULL,
user_name varchar(20) NOT NULL
);
|
SET foreign_key_checks = 0;
drop table if exists employee;
drop table if exists phone_number_employee;
drop table if exists receptionist;
drop table if exists doctor;
drop table if exists nurse;
drop table if exists client;
drop table if exists phone_number_client;
drop table if exists permanent_doctor;
drop table if exists trainee_doctor;
drop table if exists supervision_report;
drop table if exists appointment;
drop table if exists consultation;
drop table if exists consultation_assistant;
drop table if exists diagnostic_code;
drop table if exists diagnostic_code_relation;
drop table if exists consultation_diagnostic;
drop table if exists medication;
drop table if exists prescription;
drop table if exists _procedure;
drop table if exists procedure_in_consultation;
drop table if exists procedure_radiology;
drop table if exists teeth;
drop table if exists procedure_charting;
SET foreign_key_checks = 1;
create table employee
(VAT char(10),
_name varchar(255),
birth_date char(10),-- ex.:YYYY-MM-DD
street varchar(50),
city varchar(50),
zip varchar(50),
IBAN char(10),
salary numeric(7,2), -- 7 dígitos (total), 2 depois da virgula
primary key (VAT),
check(salary > 0),
unique(IBAN));
-- IC: All employees are either receptionists, nurses or doctors
create table phone_number_employee
(VAT char(10),
phone integer,
primary key(VAT, phone),
foreign key(VAT) references employee(VAT) on delete cascade);
create table receptionist
(VAT char(10),
primary key(VAT),
foreign key(VAT) references employee(VAT) on delete cascade);
create table doctor
(VAT char(10),
specialization varchar(255),
biography varchar(255),
e_mail varchar(255),
primary key(VAT),
foreign key(VAT) references employee(VAT) on delete cascade,
unique(e_mail));
-- IC: All doctors are either trainees or permanent
create table nurse
(VAT char(10),
primary key(VAT),
foreign key(VAT) references employee(VAT) on delete cascade);
create table client
(VAT char(10),
_name varchar(255),
birth_date char(10),
street varchar(255),
city varchar(255),
zip varchar(255),
gender char(1),-- ex.:M/F
age integer,
primary key(VAT),
check(age > 0));
-- IC: age derived from birth_date
create table phone_number_client
(VAT char(10),
phone integer,
primary key(VAT, phone),
foreign key(VAT) references client(VAT) on delete cascade);
create table permanent_doctor
(VAT char(10),
years integer,
primary key(VAT),
foreign key(VAT) references doctor(VAT) on delete cascade);
create table trainee_doctor
(VAT char(10),
supervisor char(10),
primary key(VAT),
foreign key(VAT) references doctor(VAT) on delete cascade,
foreign key(supervisor) references permanent_doctor(VAT) on delete cascade);
create table supervision_report
(VAT char(10),
date_timestamp char(20),-- ex.:YYYY-MM-DD HH:MM:SS
_description varchar(255),
evaluation integer,
primary key(VAT, date_timestamp),
foreign key(VAT) references trainee_doctor(VAT) on delete cascade,
check(evaluation between 1 and 5));
create table appointment
(VAT_doctor char(10),
date_timestamp char(20),
_description varchar(255),
VAT_client char(10),
primary key(VAT_doctor, date_timestamp),
foreign key(VAT_doctor) references doctor(VAT) on delete cascade,
foreign key(VAT_client) references client(VAT) on delete cascade);
create table consultation
(VAT_doctor char(10),
date_timestamp char(20),
SOAP_S varchar(255),
SOAP_O varchar(255),
SOAP_A varchar(255),
SOAP_P varchar(255),
primary key(VAT_doctor, date_timestamp),
foreign key(VAT_doctor, date_timestamp) references appointment(VAT_doctor, date_timestamp) on delete cascade);
-- IC: Consultations are always assigned to at least one assistant nurse
create table consultation_assistant
(VAT_doctor char(10),
date_timestamp char(20),
VAT_nurse char(10),
primary key(VAT_doctor, date_timestamp, VAT_nurse),
foreign key(VAT_doctor, date_timestamp) references consultation(VAT_doctor, date_timestamp) on delete cascade,
foreign key(VAT_nurse) references nurse(VAT) on delete cascade);
create table diagnostic_code
(ID char(10),
_description varchar(255),
primary key(ID));
create table diagnostic_code_relation
(ID1 char(10),
ID2 char(10),
_type varchar(255),
primary key(ID1, ID2),
foreign key(ID1) references diagnostic_code(ID) on delete cascade,
foreign key(ID2) references diagnostic_code(ID) on delete cascade);
create table consultation_diagnostic
(VAT_doctor char(10),
date_timestamp char(20),
ID char(10),
primary key(VAT_doctor, date_timestamp, ID),
foreign key(VAT_doctor, date_timestamp) references consultation(VAT_doctor, date_timestamp) on delete cascade,
foreign key(ID) references diagnostic_code(ID) on delete cascade);
create table medication
(_name varchar(255),
lab varchar(255),
primary key(_name, lab));
create table prescription
(_name varchar(255),
lab varchar(255),
VAT_doctor char(10),
date_timestamp char(20),
ID char(10),
dosage varchar(255),-- ex.:8h-8h
_description varchar(255),
primary key(_name, lab, VAT_doctor, date_timestamp, ID),
foreign key(_name, lab) references medication(_name, lab) on delete cascade,
foreign key(VAT_doctor, date_timestamp, ID) references consultation_diagnostic(VAT_doctor, date_timestamp, ID) on delete cascade);
create table _procedure
(_name varchar(255),
_type varchar(255),
primary key(_name));
create table procedure_in_consultation
(_name varchar(255),
VAT_doctor char(10),
date_timestamp char(20),
_description varchar(255),
primary key(_name, VAT_doctor, date_timestamp),
foreign key(_name) references _procedure(_name) on delete cascade,
foreign key(VAT_doctor, date_timestamp) references consultation(VAT_doctor, date_timestamp) on delete cascade);
create table procedure_radiology
(_name varchar(255),
_file varchar(255),
VAT_doctor char(10),
date_timestamp char(20),
primary key(_name, _file, VAT_doctor, date_timestamp),
foreign key(_name, VAT_doctor, date_timestamp) references procedure_in_consultation(_name, VAT_doctor, date_timestamp) on delete cascade);
create table teeth
(quadrant integer, -- 1-4
_number integer,-- 1-8
_name varchar(255),
primary key(quadrant, _number));
create table procedure_charting
(_name varchar(255),
VAT char(10),
date_timestamp char(20),
quadrant integer,
_number integer,
_desc varchar(255),
measure numeric(3,1), -- 3 digiost no total, 1 depois da virgula
primary key(_name, VAT, date_timestamp, quadrant, _number),
foreign key(_name, VAT, date_timestamp) references procedure_in_consultation(_name, VAT_doctor, date_timestamp) on delete cascade,
foreign key(quadrant, _number) references teeth(quadrant, _number) on delete cascade);
insert into employee values('25001', 'Jane Sweettooth', '1978-09-30', 'Castanheiras Street', 'Lisboa','1100-300', '1234', 1000.90);-- doutor
insert into employee values('15101', 'André Fernandes', '1978-06-07', 'Técnico Avenue', 'Lisboa', '1110-450', '5323', 2000.00);-- doutor
insert into employee values('10120', 'Jorge Goodenough', '1938-05-12', 'Cinzeiro Street', 'Lisboa','1100-320', '4321', 1000.10);-- doutor
insert into employee values('11982', 'Deolinda de Villa Mar', '1967-09-06', 'Grande Campo Street', 'Lisboa','1100-270', '6979', 1000.01);-- doutor
insert into employee values('12309', 'Ermelinda Boavida', '1945-12-17', 'Cinco Batalhas Street', 'Lisboa', '1110-150', '5901', 2000.89);-- enferm
insert into employee values('13490', 'Zacarias Fernandes', '1950-02-3', 'Janelas Street', 'Lisboa', '1110-260', '6501', 2000.12);-- enferm
insert into employee values('15574', 'Joaquim Ahmad', '1965-03-14', 'Linhas de ferro Street', 'Lisboa','1100-100', '0912', 1000.11);-- recep
insert into employee values('16347', 'Maria Peixeira', '1980-01-02', 'Rés-do-chão Street', 'Lisboa', '1200-230', '6832', 2000.09);-- recep
insert into employee values('11900', 'Jacki Chan', '1980-01-02', 'Rés-do-chão Street', 'Lisboa', '1200-230', '6831', 2000.09);-- doctor
insert into phone_number_employee values('25001', 1000);
insert into phone_number_employee values('15101', 1001);
insert into phone_number_employee values('10120', 1002);
insert into phone_number_employee values('11982', 1003);
insert into phone_number_employee values('12309', 1004);
insert into phone_number_employee values('13490', 1005);
insert into phone_number_employee values('15574', 1006);
insert into phone_number_employee values('16347', 1007);
insert into phone_number_employee values('11900', 1008);
insert into doctor values('25001', 'Anesthesiology', 'this is Janes biography', 'janesweettoth@gmail.com');-- permanent
insert into doctor values('15101', 'Pediatric dentistry', 'this is Andres biography','andrefernandes@gmail.com');-- permanent
insert into doctor values('10120', 'Dental public health', 'this is Jorges biography','goodenough@gmail.com');-- trainee
insert into doctor values('11982', 'Implant dentistry','this is Deolindas biography', 'marvilla@gmail.com');-- trainee
insert into doctor values('11900', 'Implant dentistry','this is Jackie Chan', 'jackjack@gmail.com');-- trainee
insert into receptionist values('15574');
insert into receptionist values('16347');
insert into nurse values('12309');
insert into nurse values('13490');
insert into client values('14001', 'Rafael Silva', '1989-12-21', 'Seixal Street', 'Lisbon', '1305-400', 'M', 30);
insert into client values('14002', 'João Tavares', '1998-12-31', 'Buenos Aires Street', 'Lisbon', '1200-632', 'M', 20);
insert into client values('14003', 'Maria Barracosa', '1999-07-18', 'Poeta Bocage Street', 'Lisbon', '1100-020', 'F', 20);
insert into client values('14004', 'Benedita Alves', '2000-04-18', 'Liberty Avenue', 'Lisbon', '1400-270', 'F', 19);
insert into client values('14005', 'Rosa Mota', '1962-05-31', 'Mota Rosa Street', 'Setubal', '1800-032', 'F', 57);
insert into client values('14006', 'Eusébio Ferreira', '1952-06-07', 'Fernando Pessoa Street', 'Lisbon', '2725-300', 'M', 67);
insert into client values('14007', 'Maria Coluna', '1997-03-13', 'Miguel Torga Street', 'Lisbon', '2725-300', 'F', 22);
insert into client values('14008', 'Adalberto Correia', '1979-08-17', 'Lagos Street', 'Lisbon', '2725-300', 'M', 40);
insert into client values('14009', 'Pedro Martin', '1998-12-07', 'Lumiar Street', 'Lisbon', '1020-780', 'M', 20);
insert into client values('14010', 'Xavier Dias', '1998-02-24', 'Almada Negreiros Street', 'Sintra', '1300-590', 'M', 21);
insert into client values('14011', 'Maria José', '2001-12-23', 'Alves Redol Street', 'Lisbon', '2725-300', 'F', 17);
insert into client values('14014', 'Madalena Ramos', '2001-12-27', 'Campo Grande Street', 'Lisbon', '1700-360', 'F', 17);
insert into client values('14012', 'José Maria Turras', '1998-10-04', 'Marinha Street', 'Lisbon', '1200-400', 'M', 21);
insert into client values('14013', 'Bruce Wayne', '1988-12-08', 'Wayne building Street', 'Lisbon', '1225-300', 'M', 31);
insert into phone_number_client values('14001', 2001);
insert into phone_number_client values('14002', 2002);
insert into phone_number_client values('14003', 2003);
insert into phone_number_client values('14004', 2004);
insert into phone_number_client values('14005', 2005);
insert into phone_number_client values('14006', 2006);
insert into phone_number_client values('14007', 2007);
insert into phone_number_client values('14008', 2008);
insert into phone_number_client values('14009', 2009);
insert into phone_number_client values('14010', 2010);
insert into phone_number_client values('14011', 2011);
insert into phone_number_client values('14012', 2012);
insert into phone_number_client values('14013', 2013);
insert into permanent_doctor values('25001', 10);
insert into permanent_doctor values('15101', 17);
insert into trainee_doctor values('11982', '15101');
insert into trainee_doctor values('10120', '25001');
insert into supervision_report values('11982', '2019-09-04 14:15:03', 'Very good!', 4);
insert into supervision_report values('10120', '2019-10-04 00:10:03', 'Something plus insufficient', 4);
insert into supervision_report values('11982', '2019-11-04 14:15:03', 'Very bad!', 1);
insert into supervision_report values('10120', '2019-12-04 00:10:03', 'Insufficient plus something', 2);
insert into appointment values('25001', '2019-01-01 01:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-02 02:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-03 03:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-04 04:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-05 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-06 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-07 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-08 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-09 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-10 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-11 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-12 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-13 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-14 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-15 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-16 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-17 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-18 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-19 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-20 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-21 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-22 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-23 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-24 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-25 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-26 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-27 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-28 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-29 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-30 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-01-31 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-01 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-02 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-03 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-04 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-05 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-06 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-07 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-08 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-09 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-10 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-11 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-12 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-13 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-14 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-15 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-16 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-17 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-18 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-19 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-20 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-21 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-22 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-23 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-24 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-25 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-26 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-27 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-02-28 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-01 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-02 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-03 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-04 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-05 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-06 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-07 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-08 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-09 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-10 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-11 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-12 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-13 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-14 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-15 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-16 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-17 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-18 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-19 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-20 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-21 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-22 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-23 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-24 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-25 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-26 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-27 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-28 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-29 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-30 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-03-31 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-01 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-02 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-03 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-04 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-05 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-06 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-07 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-08 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-09 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-10 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-11 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-12 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-13 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-14 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-15 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-16 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-17 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-18 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-19 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-20 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-21 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-22 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-23 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-24 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-25 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-26 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-27 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-04-28 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-11-04 16:00:00', 'There is nothing more practical than a good practical theory', '14010');
insert into appointment values('25001', '2019-11-04 17:00:00', 'Madness is like gravity, all it needs is a little push!', '14001');
insert into appointment values('15101', '2019-11-05 17:25:00', 'Madness is like ...', '14007');
insert into appointment values('10120', '2019-11-04 16:30:00', 'There is nothing more...', '14010');
insert into appointment values('11982', '2019-11-05 12:25:00', 'My madness....', '14003');-- não ocorre
insert into appointment values('25001', '2019-12-05 16:05:00', 'My madness....', '14009');
insert into appointment values('25001', '2019-12-14 13:05:00', 'My madness....', '14013');
insert into appointment values('25001', '2019-12-15 19:05:00', 'My madness....', '14005');-- não ocorre
insert into appointment values('25001', '2019-12-14 13:35:00', 'txt', '14005');
insert into appointment values('25001', '2019-12-14 14:35:00', 'txt', '14005');
insert into appointment values('25001', '2019-12-06 16:05:00', 'txt', '14013');
insert into appointment values('25001', '2019-12-15 13:05:00', 'txt', '14013');
insert into appointment values('25001', '2019-12-07 16:05:00', 'txt', '14009');
insert into appointment values('25001', '2019-12-16 13:05:00', 'txt', '14009');
insert into appointment values('10120', '2019-11-01 16:30:00', 'under 18', '14014');
insert into appointment values('10120', '2019-11-02 16:30:00', 'under 18', '14011');
insert into consultation values('25001', '2019-04-02 16:00:00', 'This is my s-soap', 'This is my o-soap', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-04-25 16:00:00', 'This is my s-soap', 'This is my o-soap', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('10120', '2019-11-04 16:30:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-11-04 16:00:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-11-04 17:00:00', 'This is my s-soap', 'This is my o-soap', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('15101', '2019-11-05 17:25:00', 'This is my s-soap', 'periodontitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-05 16:05:00', 'This is my s-soap', 'This is my o-soap', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-14 13:05:00', 'This is my s-soap', 'gingivitis and periodontitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-14 13:35:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-14 14:35:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-06 16:05:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-15 13:05:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-07 16:05:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('25001', '2019-12-16 13:05:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('10120', '2019-11-01 16:30:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation values('10120', '2019-11-02 16:30:00', 'This is my s-soap', 'gingivitis', 'This is my a-soap', 'This is my p-soap');
insert into consultation_assistant values('25001', '2019-04-02 16:00:00', '13490');
insert into consultation_assistant values('25001', '2019-04-25 16:00:00', '13490');
insert into consultation_assistant values('10120', '2019-11-04 16:30:00', '12309');
insert into consultation_assistant values('25001', '2019-11-04 16:00:00', '12309');
insert into consultation_assistant values('25001', '2019-11-04 17:00:00', '13490');
insert into consultation_assistant values('15101', '2019-11-05 17:25:00', '12309');
insert into consultation_assistant values('25001', '2019-12-05 16:05:00', '12309');
insert into consultation_assistant values('25001', '2019-12-14 13:05:00', '13490');
insert into consultation_assistant values('10120', '2019-11-01 16:30:00', '12309');
insert into consultation_assistant values('10120', '2019-11-02 16:30:00', '13490');
insert into diagnostic_code values('301', 'You are going to die');
insert into diagnostic_code values('302', 'You only have 3 more... 2, 1, 0...');
insert into diagnostic_code values('321', 'This is gingivitis');
insert into diagnostic_code values('334', 'Hi, I am not ingivitis');
insert into diagnostic_code values('322', 'There are dental cavities!');
insert into diagnostic_code values('333', 'Dental cavities and other things');
insert into diagnostic_code values('354', 'Infectious disease');
insert into diagnostic_code values('344', 'Infectious disease and dental cavities');
insert into diagnostic_code_relation values('321', '334', 'Includes');
insert into diagnostic_code_relation values('301', '302', 'Includes');
insert into consultation_diagnostic values('10120', '2019-11-04 16:30:00', '334');
insert into consultation_diagnostic values('25001', '2019-11-04 16:00:00', '301');
insert into consultation_diagnostic values('25001', '2019-11-04 17:00:00', '301');
insert into consultation_diagnostic values('15101', '2019-11-05 17:25:00', '321');
insert into consultation_diagnostic values('25001', '2019-12-14 13:05:00', '322');
insert into consultation_diagnostic values('25001', '2019-12-14 13:35:00', '302');
insert into consultation_diagnostic values('25001', '2019-12-06 16:05:00', '302');
insert into consultation_diagnostic values('25001', '2019-12-06 16:05:00', '333');
insert into consultation_diagnostic values('25001', '2019-12-15 13:05:00', '333');
insert into consultation_diagnostic values('25001', '2019-12-07 16:05:00', '354');
insert into consultation_diagnostic values('25001', '2019-12-16 13:05:00', '344');
insert into consultation_diagnostic values('10120', '2019-11-02 16:30:00', '302');
insert into consultation_diagnostic values('10120', '2019-11-01 16:30:00', '354');
insert into consultation_diagnostic values('10120', '2019-11-01 16:30:00', '333');-- mesma consulta que de cima
insert into medication values('Ben-u-ron', 'Júlio de Matos LAB');
insert into medication values('Brufen', 'Chemistry LAB');
insert into medication values('Xanax', 'Chemistry LAB');
insert into medication values('Aerius', 'MSD LAB');
insert into medication values('Advil liqui-gel', 'SIBD LAB');
insert into medication values('Green Tea', 'Homemade LAB');
insert into prescription values('Xanax', 'Chemistry LAB', '25001', '2019-11-04 16:00:00', '301', '8h-8h', 'Be careful with overdoses...');
insert into prescription values('Brufen', 'Chemistry LAB', '25001', '2019-11-04 17:00:00', '301', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Ben-u-ron', 'Júlio de Matos LAB', '15101', '2019-11-05 17:25:00', '321', '6h-6h', 'Be careful with overdoses...');
insert into prescription values('Brufen', 'Chemistry LAB', '25001', '2019-12-06 16:05:00', '302', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Brufen', 'Chemistry LAB', '25001', '2019-12-14 13:05:00', '322', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Aerius', 'MSD LAB', '25001', '2019-12-06 16:05:00', '333', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Advil liqui-gel', 'SIBD LAB', '25001', '2019-12-15 13:05:00', '333', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Aerius', 'MSD LAB', '25001', '2019-12-07 16:05:00', '354', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Green Tea', 'Homemade LAB', '25001', '2019-12-16 13:05:00', '344', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Green Tea', 'Homemade LAB', '10120', '2019-11-01 16:30:00', '354', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Aerius', 'MSD LAB', '10120', '2019-11-01 16:30:00', '333', '12h-12h', 'Be careful with overdoses...');
insert into prescription values('Aerius', 'MSD LAB', '10120', '2019-11-02 16:30:00', '302', '12h-12h', 'Be careful with overdoses...');
insert into _procedure values('Tooth extraction', 'Extraction');
insert into _procedure values('Maxillary molar periapical radiograph', 'Radiography exam');
insert into _procedure values('Root canal treatments', 'Cirurgy');
insert into _procedure values('Dental charting', 'Dental evaluation');
insert into _procedure values('Tooth whitening', 'Tooth clean'); -- unico
insert into procedure_in_consultation values('Tooth whitening', '25001', '2019-04-02 16:00:00', 'Converting black to white!'); -- unico
insert into procedure_in_consultation values('Tooth whitening', '25001', '2019-04-25 16:00:00', 'Converting black to white!'); -- unico
insert into procedure_in_consultation values('Maxillary molar periapical radiograph', '10120', '2019-11-04 16:30:00', 'Not a maxillar! It is a...');
insert into procedure_in_consultation values('Dental charting', '10120', '2019-11-04 16:30:00', 'Not a maxillar! It is a...');
insert into procedure_in_consultation values('Maxillary molar periapical radiograph', '25001', '2019-11-04 16:00:00', 'Good maxillar!');
insert into procedure_in_consultation values('Maxillary molar periapical radiograph', '25001', '2019-11-04 17:00:00', 'Good maxillar!');
insert into procedure_in_consultation values('Root canal treatments', '15101', '2019-11-05 17:25:00', 'What a root!');
insert into procedure_in_consultation values('Tooth extraction', '25001', '2019-12-05 16:05:00', 'Not so great teeth!');
insert into procedure_in_consultation values('Dental charting', '25001', '2019-12-14 13:05:00', 'Great teeth!');
insert into procedure_in_consultation values('Tooth extraction', '10120', '2019-11-01 16:30:00', 'Not so great teeth!');
insert into procedure_in_consultation values('Dental charting', '10120', '2019-11-02 16:30:00', 'Great teeth!');
insert into procedure_radiology values('Maxillary molar periapical radiograph', 'thisfile0', '10120', '2019-11-04 16:30:00');
insert into procedure_radiology values('Maxillary molar periapical radiograph', 'thisfile1', '25001', '2019-11-04 16:00:00');
insert into procedure_radiology values('Maxillary molar periapical radiograph', 'thisfile2', '25001', '2019-11-04 17:00:00');
insert into teeth values(1, 1, 'Central incisor');
insert into teeth values(1, 2, 'Lateral incisor');
insert into teeth values(1, 3, 'Canine');
insert into teeth values(1, 4, 'First premolar');
insert into teeth values(1, 5, 'Second premolar');
insert into teeth values(1, 6, 'First molar');
insert into teeth values(1, 7, 'Second molar');
insert into teeth values(1, 8, 'Third molar');
insert into teeth values(2, 1, 'Central incisor');
insert into teeth values(2, 2, 'Lateral incisor');
insert into teeth values(2, 3, 'Canine');
insert into teeth values(2, 4, 'First premolar');
insert into teeth values(2, 5, 'Second premolar');
insert into teeth values(2, 6, 'First molar');
insert into teeth values(2, 7, 'Second molar');
insert into teeth values(2, 8, 'Third molar');
insert into teeth values(3, 1, 'Central incisor');
insert into teeth values(3, 2, 'Lateral incisor');
insert into teeth values(3, 3, 'Canine');
insert into teeth values(3, 4, 'First premolar');
insert into teeth values(3, 5, 'Second premolar');
insert into teeth values(3, 6, 'First molar');
insert into teeth values(3, 7, 'Second molar');
insert into teeth values(3, 8, 'Third molar');
insert into teeth values(4, 1, 'Central incisor');
insert into teeth values(4, 2, 'Lateral incisor');
insert into teeth values(4, 3, 'Canine');
insert into teeth values(4, 4, 'First premolar');
insert into teeth values(4, 5, 'Second premolar');
insert into teeth values(4, 6, 'First molar');
insert into teeth values(4, 7, 'Second molar');
insert into teeth values(4, 8, 'Third molar');
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 1, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 2, 'Is it a mollar?', 3.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 3, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 4, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 5, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 6, 'Is it a mollar?', 5.6);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 7, 'Is it a mollar?', 4.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 1, 8, 'Is it a mollar?', 4.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 1, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 2, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 3, 'Is it a mollar?', 8.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 4, 'Is it a mollar?', 5.9);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 5, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 6, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 7, 'Is it a mollar?', 8.3);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 2, 8, 'Is it a mollar?', 4.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 1, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 2, 'Is it a mollar?', 6.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 3, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 4, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 5, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 6, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 7, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 3, 8, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 1, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 2, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 3, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 4, 'Is it a mollar?', 7.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 5, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 6, 'Is it a mollar?', 6.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 7, 'Is it a mollar?', 2.1);
insert into procedure_charting values('Dental charting', '10120', '2019-11-04 16:30:00', 4, 8, 'Is it a mollar?', 5.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 1,'Damn good teeth you´ve got there sir!', 3.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 2,'Damn good teeth you´ve got there sir!', 2.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 3,'Damn good teeth you´ve got there sir!', 1.3);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 4,'Damn good teeth you´ve got there sir!', 0.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 5,'Damn good teeth you´ve got there sir!', 1.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 6,'Damn good teeth you´ve got there sir!', 2.0);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 7,'Damn good teeth you´ve got there sir!', 3.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 1, 8,'Damn good teeth you´ve got there sir!', 2.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 1,'Damn good teeth you´ve got there sir!', 1.3);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 2,'Damn good teeth you´ve got there sir!', 0.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 3,'Damn good teeth you´ve got there sir!', 1.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 4,'Damn good teeth you´ve got there sir!', 2.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 5,'Damn good teeth you´ve got there sir!', 3.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 6,'Damn good teeth you´ve got there sir!', 2.3);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 7,'Damn good teeth you´ve got there sir!', 1.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 2, 8,'Damn good teeth you´ve got there sir!', 0.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 1,'Damn good teeth you´ve got there sir!', 1.0);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 2,'Damn good teeth you´ve got there sir!', 2.0);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 3,'Damn good teeth you´ve got there sir!', 3.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 4,'Damn good teeth you´ve got there sir!', 2.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 5,'Damn good teeth you´ve got there sir!', 1.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 6,'Damn good teeth you´ve got there sir!', 0.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 7,'Damn good teeth you´ve got there sir!', 1.3);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 3, 8,'Damn good teeth you´ve got there sir!', 2.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 1,'Damn good teeth you´ve got there sir!', 3.0);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 2,'Damn good teeth you´ve got there sir!', 2.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 3,'Damn good teeth you´ve got there sir!', 1.3);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 4,'Damn good teeth you´ve got there sir!', 0.2);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 5,'Damn good teeth you´ve got there sir!', 1.1);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 6,'Damn good teeth you´ve got there sir!', 2.0);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 7,'Damn good teeth you´ve got there sir!', 3.3);
insert into procedure_charting values('Dental charting', '25001', '2019-12-14 13:05:00', 4, 8,'Damn good teeth you´ve got there sir!', 2.2);
|
drop table BURI_STATE_USER;
|
-- phpMyAdmin SQL Dump
-- version 5.0.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jul 14, 2021 at 07:27 PM
-- Server version: 10.4.17-MariaDB
-- PHP Version: 8.0.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `phpmotors`
--
-- --------------------------------------------------------
--
-- Table structure for table `carclassification`
--
CREATE TABLE `carclassification` (
`classificationId` int(11) NOT NULL,
`classificationName` varchar(30) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `carclassification`
--
INSERT INTO `carclassification` (`classificationId`, `classificationName`) VALUES
(1, 'SUV'),
(2, 'Classic'),
(3, 'Sports'),
(4, 'Trucks'),
(5, 'Used');
-- --------------------------------------------------------
--
-- Table structure for table `clients`
--
CREATE TABLE `clients` (
`clientId` int(10) UNSIGNED NOT NULL,
`clientFirstname` varchar(15) NOT NULL,
`clientLastname` varchar(25) NOT NULL,
`clientEmail` varchar(40) NOT NULL,
`clientPassword` varchar(255) NOT NULL,
`clientLevel` enum('1','2','3') NOT NULL DEFAULT '1',
`comment` text DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `clients`
--
INSERT INTO `clients` (`clientId`, `clientFirstname`, `clientLastname`, `clientEmail`, `clientPassword`, `clientLevel`, `comment`) VALUES
(7, 'Eli', 'Bear', 'ekb327@gmail.com', '$2y$10$jvM2jtV7uqrD5dQQ4eMoOedG6A5.paXECpD5bO3MDcoZAQUaCqlLi', '1', NULL),
(8, 'Eli', 'Bear', 'Tony@gmail.com', '$2y$10$14ZcKp.hRWy3AZ.v8QNyfe3tkDzZmOx8KrN.DU7RS2nYeGa6u3taO', '1', NULL),
(9, 'Eli', 'Bear', 'ekb32@gmail.com', '$2y$10$02uM8Ls7cKVge8YkPyD/dezDsXFtRWoca9S17JD9MPXy86Lss2fSq', '1', NULL),
(10, 'Eli', 'Bear', 'ekb3@gmail.com', '$2y$10$O3K1Fa4BGhxV8clzIH9jz.EFdhyfAuwvlUGHphygAnsf8RA2VJ.tm', '1', NULL),
(11, 'Eli', 'Bear', 'ekb@gmail.com', '$2y$10$DFLGMhy8Jtq.JY12DQL3wu4sj9r2zZOcqx/AknNaYrdW8kPOYOreG', '1', NULL),
(12, 'Admin', 'User', 'admin@cse340.net', '$2y$10$Yxt11Bsp1hkzezcrAYr3DOKKg5raiUai3fx5y05fu/IoAlqt8/wQa', '3', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `images`
--
CREATE TABLE `images` (
`imgId` int(10) UNSIGNED NOT NULL,
`invId` int(10) UNSIGNED NOT NULL,
`ImgName` varchar(100) CHARACTER SET latin1 NOT NULL,
`imgPath` varchar(150) CHARACTER SET latin1 NOT NULL,
`imgDate` timestamp NOT NULL DEFAULT current_timestamp(),
`imgPrimary` tinyint(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `images`
--
INSERT INTO `images` (`imgId`, `invId`, `ImgName`, `imgPath`, `imgDate`, `imgPrimary`) VALUES
(20, 4, 'monster-truck.jpg', '/phpmotors/images/vehicles/monster-truck.jpg', '2021-06-30 17:01:41', 1),
(21, 4, 'monster-truck-tn.jpg', '/phpmotors/images/vehicles/monster-truck-tn.jpg', '2021-06-30 17:01:41', 1),
(22, 3, 'adventador.jpg', '/phpmotors/images/vehicles/adventador.jpg', '2021-06-30 17:02:20', 1),
(23, 3, 'adventador-tn.jpg', '/phpmotors/images/vehicles/adventador-tn.jpg', '2021-06-30 17:02:20', 1),
(24, 5, 'ms.jpg', '/phpmotors/images/vehicles/ms.jpg', '2021-06-30 17:02:34', 1),
(25, 5, 'ms-tn.jpg', '/phpmotors/images/vehicles/ms-tn.jpg', '2021-06-30 17:02:34', 1),
(28, 7, 'mystery-van.jpg', '/phpmotors/images/vehicles/mystery-van.jpg', '2021-06-30 17:03:20', 1),
(29, 7, 'mystery-van-tn.jpg', '/phpmotors/images/vehicles/mystery-van-tn.jpg', '2021-06-30 17:03:20', 1),
(30, 8, 'fire-truck.jpg', '/phpmotors/images/vehicles/fire-truck.jpg', '2021-06-30 17:03:34', 1),
(31, 8, 'fire-truck-tn.jpg', '/phpmotors/images/vehicles/fire-truck-tn.jpg', '2021-06-30 17:03:34', 1),
(32, 9, 'crown-vic.jpg', '/phpmotors/images/vehicles/crown-vic.jpg', '2021-06-30 17:04:02', 1),
(33, 9, 'crown-vic-tn.jpg', '/phpmotors/images/vehicles/crown-vic-tn.jpg', '2021-06-30 17:04:02', 1),
(34, 11, 'escalade.jpg', '/phpmotors/images/vehicles/escalade.jpg', '2021-06-30 17:04:25', 1),
(35, 11, 'escalade-tn.jpg', '/phpmotors/images/vehicles/escalade-tn.jpg', '2021-06-30 17:04:25', 1),
(36, 12, 'hummer.jpg', '/phpmotors/images/vehicles/hummer.jpg', '2021-06-30 17:04:40', 1),
(37, 12, 'hummer-tn.jpg', '/phpmotors/images/vehicles/hummer-tn.jpg', '2021-06-30 17:04:40', 1),
(38, 13, 'aerocar.jpg', '/phpmotors/images/vehicles/aerocar.jpg', '2021-06-30 17:04:51', 1),
(39, 13, 'aerocar-tn.jpg', '/phpmotors/images/vehicles/aerocar-tn.jpg', '2021-06-30 17:04:51', 1),
(42, 14, 'van.jpg', '/phpmotors/images/vehicles/van.jpg', '2021-06-30 17:05:38', 1),
(43, 14, 'van-tn.jpg', '/phpmotors/images/vehicles/van-tn.jpg', '2021-06-30 17:05:38', 1),
(60, 59, 'delorean.jpg', '/phpmotors/images/vehicles/delorean.jpg', '2021-06-30 17:46:28', 1),
(61, 59, 'delorean-tn.jpg', '/phpmotors/images/vehicles/delorean-tn.jpg', '2021-06-30 17:46:28', 1),
(62, 7, 'van-2-tn.jpg', '/phpmotors/images/vehicles/mystery-machine2-tn.jpg', '2021-06-30 17:58:43', 0),
(67, 12, 'hummer2-tn.jpg', '/phpmotors/images/vehicles/hummer2-tn.jpg', '2021-06-30 18:02:36', 0),
(68, 15, 'dog.jpg', '/phpmotors/images/vehicles/dog.jpg', '2021-06-30 19:24:50', 1),
(69, 15, 'dog-tn.jpg', '/phpmotors/images/vehicles/dog-tn.jpg', '2021-06-30 19:24:50', 1),
(96, 6, 'bat.jpg', '/phpmotors/images/vehicles/bat.jpg', '2021-07-01 22:20:30', 1),
(97, 6, 'bat-tn.jpg', '/phpmotors/images/vehicles/bat-tn.jpg', '2021-07-01 22:20:30', 1),
(99, 6, 'bat2-tn.jpg', '/phpmotors/images/vehicles/bat2-tn.jpg', '2021-07-01 22:20:40', 0),
(100, 2, 'model-t.jpg', '/phpmotors/images/vehicles/model-t.jpg', '2021-07-01 22:28:01', 1),
(101, 2, 'model-t-tn.jpg', '/phpmotors/images/vehicles/model-t-tn.jpg', '2021-07-01 22:28:01', 1);
-- --------------------------------------------------------
--
-- Table structure for table `inventory`
--
CREATE TABLE `inventory` (
`invId` int(10) UNSIGNED NOT NULL,
`invMake` varchar(30) NOT NULL,
`invModel` varchar(30) NOT NULL,
`invDescription` text NOT NULL,
`invImage` varchar(50) NOT NULL,
`invThumbnail` varchar(50) NOT NULL,
`invPrice` decimal(10,0) NOT NULL,
`invStock` smallint(6) NOT NULL,
`invColor` varchar(20) NOT NULL,
`classificationId` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `inventory`
--
INSERT INTO `inventory` (`invId`, `invMake`, `invModel`, `invDescription`, `invImage`, `invThumbnail`, `invPrice`, `invStock`, `invColor`, `classificationId`) VALUES
(2, 'Ford', 'Model T', 'The Ford Model T can be a bit tricky to drive. It was the first car to be put into production. You can get it in any color you want as long as it's black.', '/phpmotors/images/vehicles/model-t.jpg', '/phpmotors/images/vehicles/model-t-tn.jpg', '30000', 2, 'Black', 2),
(3, 'Lamborghini', 'Adventador', 'This V-12 engine packs a punch in this sporty car. Make sure you wear your seatbelt and obey all traffic laws. ', '/phpmotors/images/vehicles/adventador.jpg', '/phpmotors/images/vehicles/adventador-tn.jpg', '417650', 1, 'Blue', 3),
(4, 'Monster', 'Truck', 'Most trucks are for working, this one is for fun. this beast comes with 60in tires giving you tracktions needed to jump and roll in the mud.', '/phpmotors/images/vehicles/monster-truck.jpg', '/phpmotors/images/vehicles/monster-truck-tn.jpg', '150000', 3, 'purple', 4),
(5, 'Mechanic', 'Special', 'Not sure where this car came from. however with a little tlc it will run as good a new.', '/phpmotors/images/vehicles/ms.jpg', '/phpmotors/images/vehicles/ms-tn.jpg', '100', 200, 'Rust', 5),
(6, 'Batmobile', 'Custom', 'Ever want to be a super hero? now you can with the batmobile. This car allows you to switch to bike mode allowing you to easily maneuver through trafic during rush hour.', '/phpmotors/images/vehicles/batmobile.jpg', '/phpmotors/images/vehicles/batmobile-tn.jpg', '65000', 2, 'Black', 3),
(7, 'Mystery', 'Machine', 'Scooby and the gang always found luck in solving their mysteries because of there 4 wheel drive Mystery Machine. This Van will help you do whatever job you are required to with a success rate of 100%.', '/phpmotors/images/vehicles/mystery-van.jpg', '/phpmotors/images/vehicles/mystery-van-tn.jpg', '10000', 12, 'Green', 1),
(8, 'Spartan', 'Fire Truck', 'Emergencies happen often. Be prepared with this Spartan fire truck. Comes complete with 1000 ft. of hose and a 1000 gallon tank.', '/phpmotors/images/vehicles/fire-truck.jpg', '/phpmotors/images/vehicles/fire-truck-tn.jpg', '50000', 2, 'Red', 4),
(9, 'Ford', 'Crown Victoria', 'After the police force updated their fleet these cars are now available to the public! These cars come equiped with the siren which is convenient for college students running late to class.', '/phpmotors/images/vehicles/crown-vic.jpg', '/phpmotors/images/vehicles/crown-vic-tn.jpg', '10000', 5, 'White', 5),
(11, 'Cadilac', 'Escalade', 'This stylin car is great for any occasion from going to the beach to meeting the president. The luxurious inside makes this car a home away from home.', '/phpmotors/images/vehicles/escalade.jpg', '/phpmotors/images/vehicles/escalade-tn.jpg', '75195', 4, 'Black', 1),
(12, 'GM', 'Hummer', 'Do you have 6 kids and like to go offroading? The Hummer gives you the small interiors with an engine to get you out of any muddy or rocky situation.', '/phpmotors/images/vehicles/hummer.jpg', '/phpmotors/images/vehicles/hummer-tn.jpg', '58800', 5, 'Yellow', 5),
(13, 'Aerocar International', 'Aerocar', 'Are you sick of rushhour trafic? This car converts into an airplane to get you where you are going fast. Only 6 of these were made, get them while they last!', '/phpmotors/images/vehicles/aerocar.jpg', '/phpmotors/images/vehicles/aerocar-tn.jpg', '1000000', 6, 'Red', 2),
(14, 'FBI', 'Survalence Van', 'do you like police shows? You\'ll feel right at home driving this van, come complete with survalence equipments for and extra fee of $2,000 a month. ', '/phpmotors/images/vehicles/van.jpg', '/phpmotors/images/vehicles/van-tn.jpg', '20000', 1, 'Green', 1),
(15, 'Dog ', 'Car', 'Do you like dogs? Well this car is for you straight from the 90s from Aspen, Colorado we have the orginal Dog Car complete with fluffy ears. ', '/phpmotors/images/vehicles/dog.jpg', '/phpmotors/images/vehicles/dog-tn.jpg', '35000', 1, 'Brown', 2),
(59, 'DMC', 'DeLorean', 'BACK -to the future.', '/phpmotors/images/vehicles/delorean.jpg', '/phpmotors/images/vehicles/delorean-tn.jpg', '67000', 1, 'Grey', 2);
-- --------------------------------------------------------
--
-- Table structure for table `reviews`
--
CREATE TABLE `reviews` (
`reviewId` int(10) UNSIGNED NOT NULL,
`reviewText` text CHARACTER SET latin1 NOT NULL,
`reviewDate` timestamp NOT NULL DEFAULT current_timestamp(),
`invId` int(10) UNSIGNED NOT NULL,
`clientId` int(10) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `reviews`
--
INSERT INTO `reviews` (`reviewId`, `reviewText`, `reviewDate`, `invId`, `clientId`) VALUES
(108, 'new review', '2021-07-09 17:26:40', 2, 10),
(109, 'A newer review', '2021-07-09 17:28:01', 2, 10),
(110, 'The newest Review', '2021-07-09 17:52:21', 2, 10),
(111, 'This one is a very neat car!', '2021-07-09 18:14:32', 2, 12),
(113, 'one mores', '2021-07-09 18:23:23', 2, 12),
(114, 'A new review', '2021-07-09 18:23:38', 13, 12),
(115, 'the issues', '2021-07-10 15:58:32', 2, 12),
(123, 'One more review', '2021-07-10 15:58:47', 2, 12),
(144, 'okays', '2021-07-14 19:42:25', 13, 12),
(145, 'This is the best yellow I have ever seen, trust me.', '2021-07-14 08:02:42', 13, 10);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `carclassification`
--
ALTER TABLE `carclassification`
ADD PRIMARY KEY (`classificationId`);
--
-- Indexes for table `clients`
--
ALTER TABLE `clients`
ADD PRIMARY KEY (`clientId`),
ADD UNIQUE KEY `clientEmail` (`clientEmail`);
--
-- Indexes for table `images`
--
ALTER TABLE `images`
ADD PRIMARY KEY (`imgId`),
ADD KEY `FK_inv_images` (`invId`);
--
-- Indexes for table `inventory`
--
ALTER TABLE `inventory`
ADD PRIMARY KEY (`invId`),
ADD KEY `classificationId` (`classificationId`);
--
-- Indexes for table `reviews`
--
ALTER TABLE `reviews`
ADD PRIMARY KEY (`reviewId`),
ADD KEY `FK_reviews_clients` (`clientId`),
ADD KEY `FK_reviews_inventory` (`invId`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `carclassification`
--
ALTER TABLE `carclassification`
MODIFY `classificationId` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=79;
--
-- AUTO_INCREMENT for table `clients`
--
ALTER TABLE `clients`
MODIFY `clientId` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT for table `images`
--
ALTER TABLE `images`
MODIFY `imgId` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=102;
--
-- AUTO_INCREMENT for table `inventory`
--
ALTER TABLE `inventory`
MODIFY `invId` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=60;
--
-- AUTO_INCREMENT for table `reviews`
--
ALTER TABLE `reviews`
MODIFY `reviewId` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=146;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `images`
--
ALTER TABLE `images`
ADD CONSTRAINT `FK_inv_images` FOREIGN KEY (`invId`) REFERENCES `inventory` (`invId`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `inventory`
--
ALTER TABLE `inventory`
ADD CONSTRAINT `inventory_ibfk_1` FOREIGN KEY (`classificationId`) REFERENCES `carclassification` (`classificationId`);
--
-- Constraints for table `reviews`
--
ALTER TABLE `reviews`
ADD CONSTRAINT `FK_reviews_clients` FOREIGN KEY (`clientId`) REFERENCES `clients` (`clientId`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `FK_reviews_inventory` FOREIGN KEY (`invId`) REFERENCES `inventory` (`invId`) ON DELETE CASCADE ON UPDATE CASCADE;
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 */;
|
BEGIN TRANSACTION;
UPDATE corporate SET eps = 0.2375 WHERE year =1996 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.2525 WHERE year =1996 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.26 WHERE year =1996 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.27 WHERE year =1996 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.285 WHERE year =1997 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.29 WHERE year =1997 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.3775 WHERE year =1997 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.285 WHERE year =1997 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.315 WHERE year =1998 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.33 WHERE year =1998 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.34 WHERE year =1998 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.335 WHERE year =1998 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.345 WHERE year =1999 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.365 WHERE year =1999 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.375 WHERE year =1999 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.38 WHERE year =1999 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.395 WHERE year =2000 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.44 WHERE year =2000 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.525 WHERE year =2000 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.475 WHERE year =2000 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.485 WHERE year =2001 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.51 WHERE year =2001 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.525 WHERE year =2001 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.54 WHERE year =2001 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.025 WHERE year =2002 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.565 WHERE year =2002 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.535 WHERE year =2002 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.555 WHERE year =2002 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.56 WHERE year =2003 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.57 WHERE year =2003 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.61 WHERE year =2003 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.64 WHERE year =2003 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.68 WHERE year =2004 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.77 WHERE year =2004 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.72 WHERE year =2004 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.7 WHERE year =2004 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.78 WHERE year =2005 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.82 WHERE year =2005 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.78 WHERE year =2005 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.81 WHERE year =2005 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.85 WHERE year =2006 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.9 WHERE year =2006 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.94 WHERE year =2006 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.9 WHERE year =2006 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.02 WHERE year =2007 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.04 WHERE year =2007 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.03 WHERE year =2007 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.95 WHERE year =2007 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.83 WHERE year =2008 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.97 WHERE year =2008 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.99 WHERE year =2008 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.28 WHERE year =2008 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.8 WHERE year =2009 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.81 WHERE year =2009 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.87 WHERE year =2009 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.84 WHERE year =2009 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.92 WHERE year =2010 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.02 WHERE year =2010 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 0.98 WHERE year =2010 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1 WHERE year =2010 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.08 WHERE year =2011 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.36 WHERE year =2011 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.11 WHERE year =2011 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.08 WHERE year =2011 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.23 WHERE year =2012 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.18 WHERE year =2012 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.7 WHERE year =2012 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.2 WHERE year =2012 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.27 WHERE year =2013 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.24 WHERE year =2013 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.38 WHERE year =2013 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.31 WHERE year =2013 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.33 WHERE year =2014 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.4 WHERE year =2014 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.86 WHERE year =2014 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.1 WHERE year =2014 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.36 WHERE year =2015 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.43 WHERE year =2015 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.46 WHERE year =2015 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.46 WHERE year =2015 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.44 WHERE year =2016 AND month = 1 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.24 WHERE year =2016 AND month = 4 AND day = 30 AND ticker = "BNS";
UPDATE corporate SET eps = 1.55 WHERE year =2016 AND month = 7 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 1.58 WHERE year =2016 AND month = 10 AND day = 31 AND ticker = "BNS";
UPDATE corporate SET eps = 0.53 WHERE year =1996 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.5 WHERE year =1996 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.545 WHERE year =1996 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.53 WHERE year =1996 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.585 WHERE year =1997 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.565 WHERE year =1997 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.67 WHERE year =1997 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.525 WHERE year =1997 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.645 WHERE year =1998 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.67 WHERE year =1998 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.66 WHERE year =1998 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.385 WHERE year =1998 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.625 WHERE year =1999 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.63 WHERE year =1999 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.69 WHERE year =1999 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.435 WHERE year =1999 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.84 WHERE year =2000 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.88 WHERE year =2000 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.705 WHERE year =2000 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.88 WHERE year =2000 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.37 WHERE year =2001 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.565 WHERE year =2001 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.85 WHERE year =2001 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.03 WHERE year =2001 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.73 WHERE year =2002 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.57 WHERE year =2002 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.66 WHERE year =2002 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.77 WHERE year =2002 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.77 WHERE year =2003 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.78 WHERE year =2003 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.97 WHERE year =2003 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.99 WHERE year =2003 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.06 WHERE year =2004 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.2 WHERE year =2004 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.3 WHERE year =2004 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.08 WHERE year =2004 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.18 WHERE year =2005 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.19 WHERE year =2005 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.07 WHERE year =2005 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.3 WHERE year =2005 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.19 WHERE year =2006 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.28 WHERE year =2006 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.41 WHERE year =2006 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.37 WHERE year =2006 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.68 WHERE year =2007 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.31 WHERE year =2007 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.3 WHERE year =2007 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.89 WHERE year =2007 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.48 WHERE year =2008 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.25 WHERE year =2008 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1 WHERE year =2008 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.06 WHERE year =2008 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.39 WHERE year =2009 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.61 WHERE year =2009 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 0.97 WHERE year =2009 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.12 WHERE year =2009 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.12 WHERE year =2010 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.27 WHERE year =2010 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.13 WHERE year =2010 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.25 WHERE year =2010 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.31 WHERE year =2011 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.35 WHERE year =2011 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.28 WHERE year =2011 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.35 WHERE year =2011 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.43 WHERE year =2012 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.45 WHERE year =2012 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.49 WHERE year =2012 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.59 WHERE year =2012 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.52 WHERE year =2013 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.46 WHERE year =2013 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.69 WHERE year =2013 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.62 WHERE year =2013 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.58 WHERE year =2014 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.61 WHERE year =2014 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.68 WHERE year =2014 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.57 WHERE year =2014 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.47 WHERE year =2015 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.49 WHERE year =2015 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.81 WHERE year =2015 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.83 WHERE year =2015 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.59 WHERE year =2016 AND month = 1 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 1.46 WHERE year =2016 AND month = 4 AND day = 30 AND ticker = "BMO";
UPDATE corporate SET eps = 1.87 WHERE year =2016 AND month = 7 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 2.03 WHERE year =2016 AND month = 10 AND day = 31 AND ticker = "BMO";
UPDATE corporate SET eps = 0.28125 WHERE year =1999 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.37875 WHERE year =1999 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.37125 WHERE year =1999 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.39375 WHERE year =1999 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.47625 WHERE year =2000 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.4425 WHERE year =2000 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.42 WHERE year =2000 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.465 WHERE year =2000 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.54 WHERE year =2001 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.42375 WHERE year =2001 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.49125 WHERE year =2001 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.5775 WHERE year =2001 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.04125 WHERE year =2002 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.5025 WHERE year =2002 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.54 WHERE year =2002 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.44625 WHERE year =2002 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.4425 WHERE year =2003 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.58125 WHERE year =2003 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.48 WHERE year =2003 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.48375 WHERE year =2003 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.28875 WHERE year =2004 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.44625 WHERE year =2004 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.48 WHERE year =2004 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.49125 WHERE year =2004 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.265 WHERE year =2005 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.375 WHERE year =2005 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.375 WHERE year =2005 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.3975 WHERE year =2005 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.17 WHERE year =2006 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.345 WHERE year =2006 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.2375 WHERE year =2006 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.2425 WHERE year =2006 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.32 WHERE year =2007 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.51 WHERE year =2007 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.485 WHERE year =2007 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.85 WHERE year =2007 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.32 WHERE year =2008 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.48 WHERE year =2008 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.585 WHERE year =2008 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.61 WHERE year =2008 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.455 WHERE year =2009 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.415 WHERE year =2009 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.49 WHERE year =2009 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.62 WHERE year =2009 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.54 WHERE year =2010 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.57 WHERE year =2010 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.6 WHERE year =2010 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.545 WHERE year =2010 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.73 WHERE year =2011 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.595 WHERE year =2011 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.735 WHERE year =2011 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.665 WHERE year =2011 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.88 WHERE year =2012 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.72 WHERE year =2012 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.765 WHERE year =2012 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.71 WHERE year =2012 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.65 WHERE year =2013 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.85 WHERE year =2013 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.84 WHERE year =2013 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 0.76 WHERE year =2013 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.75 WHERE year =2014 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 1.03 WHERE year =2014 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 1.04 WHERE year =2014 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 1.04 WHERE year =2014 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.87 WHERE year =2015 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 1.1 WHERE year =2015 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 1.26 WHERE year =2015 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 1.19 WHERE year =2015 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 1.01 WHERE year =2016 AND month = 3 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 1.1 WHERE year =2016 AND month = 6 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 1.26 WHERE year =2016 AND month = 9 AND day = 30 AND ticker = "CNR";
UPDATE corporate SET eps = 1.33 WHERE year =2016 AND month = 12 AND day = 31 AND ticker = "CNR";
UPDATE corporate SET eps = 0.64 WHERE year =2002 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.22 WHERE year =2003 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.57 WHERE year =2003 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.1 WHERE year =2003 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.15 WHERE year =2003 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.53 WHERE year =2004 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.11 WHERE year =2004 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.81 WHERE year =2004 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.49 WHERE year =2004 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.79 WHERE year =2005 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.29 WHERE year =2005 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.87 WHERE year =2005 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.69 WHERE year =2005 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.39 WHERE year =2006 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.05 WHERE year =2006 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.93 WHERE year =2006 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.83 WHERE year =2006 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.66 WHERE year =2007 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.43 WHERE year =2007 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 2.23 WHERE year =2007 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.59 WHERE year =2007 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.01 WHERE year =2008 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.12 WHERE year =2008 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.3 WHERE year =2008 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.37 WHERE year =2008 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.81 WHERE year =2009 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.25 WHERE year =2009 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.87 WHERE year =2009 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.6 WHERE year =2009 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.99 WHERE year =2010 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.17 WHERE year =2010 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.1 WHERE year =2010 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.2 WHERE year =2010 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.76 WHERE year =2011 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.1 WHERE year =2011 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.31 WHERE year =2011 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.83 WHERE year =2011 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 0.6 WHERE year =2012 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.31 WHERE year =2012 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.08 WHERE year =2012 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.25 WHERE year =2012 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.44 WHERE year =2013 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 1.85 WHERE year =2013 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.47 WHERE year =2013 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.45 WHERE year =2013 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.13 WHERE year =2014 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.33 WHERE year =2014 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 2.66 WHERE year =2014 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 1.94 WHERE year =2014 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.38 WHERE year =2015 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.05 WHERE year =2015 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 2.09 WHERE year =2015 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 3.51 WHERE year =2015 AND month = 12 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.15 WHERE year =2016 AND month = 3 AND day = 31 AND ticker = "CP";
UPDATE corporate SET eps = 2.34 WHERE year =2016 AND month = 6 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 2.63 WHERE year =2016 AND month = 9 AND day = 30 AND ticker = "CP";
UPDATE corporate SET eps = 0.1075 WHERE year =1997 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.255 WHERE year =1998 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.0675 WHERE year =1998 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = -0.015 WHERE year =1998 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1175 WHERE year =1998 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.295 WHERE year =1999 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.06 WHERE year =1999 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.005 WHERE year =1999 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1175 WHERE year =1999 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.295 WHERE year =2000 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.06 WHERE year =2000 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.005 WHERE year =2000 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1325 WHERE year =2000 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.43 WHERE year =2001 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1025 WHERE year =2001 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.0625 WHERE year =2001 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1775 WHERE year =2001 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.685 WHERE year =2002 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = -0.0075 WHERE year =2002 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.045 WHERE year =2002 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1575 WHERE year =2002 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.675 WHERE year =2003 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.135 WHERE year =2003 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.04 WHERE year =2003 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.085 WHERE year =2003 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.185 WHERE year =2004 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.135 WHERE year =2004 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.0775 WHERE year =2004 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.165 WHERE year =2004 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.135 WHERE year =2005 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.1 WHERE year =2005 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.26 WHERE year =2005 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.28 WHERE year =2005 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.235 WHERE year =2006 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.14 WHERE year =2006 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.25 WHERE year =2006 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.325 WHERE year =2006 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.205 WHERE year =2007 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.11 WHERE year =2007 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.35 WHERE year =2007 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.35 WHERE year =2007 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.915 WHERE year =2008 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.205 WHERE year =2008 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.36 WHERE year =2008 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.77 WHERE year =2008 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.54 WHERE year =2009 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.415 WHERE year =2009 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.405 WHERE year =2009 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.465 WHERE year =2009 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.185 WHERE year =2010 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.21 WHERE year =2010 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.435 WHERE year =2010 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.49 WHERE year =2010 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.4 WHERE year =2011 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = -0.01 WHERE year =2011 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.21 WHERE year =2011 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.35 WHERE year =2011 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.01 WHERE year =2012 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.24 WHERE year =2012 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.19 WHERE year =2012 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.32 WHERE year =2012 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.05 WHERE year =2013 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.52 WHERE year =2013 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = -0.33 WHERE year =2013 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.48 WHERE year =2013 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.92 WHERE year =2014 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = -0.1 WHERE year =2014 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.11 WHERE year =2014 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = -0.46 WHERE year =2014 AND month = 12 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = 0.67 WHERE year =2015 AND month = 3 AND day = 31 AND ticker = "ENB";
UPDATE corporate SET eps = -0.72 WHERE year =2015 AND month = 6 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.44 WHERE year =2015 AND month = 9 AND day = 30 AND ticker = "ENB";
UPDATE corporate SET eps = 0.3 WHERE year =1998 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.28 WHERE year =1999 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.28 WHERE year =1999 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.22 WHERE year =1999 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.33 WHERE year =1999 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.28 WHERE year =2000 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.33 WHERE year =2000 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.34 WHERE year =2000 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.35 WHERE year =2000 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.22 WHERE year =2001 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.33 WHERE year =2001 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.4 WHERE year =2001 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.39 WHERE year =2001 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.43 WHERE year =2002 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.36 WHERE year =2002 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.37 WHERE year =2002 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.4 WHERE year =2002 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.51 WHERE year =2003 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.42 WHERE year =2003 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.43 WHERE year =2003 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.38 WHERE year =2003 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.5 WHERE year =2004 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.8 WHERE year =2004 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.44 WHERE year =2004 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.48 WHERE year =2004 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.41 WHERE year =2005 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.88 WHERE year =2005 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.72 WHERE year =2005 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.56 WHERE year =2005 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.5 WHERE year =2006 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.6 WHERE year =2006 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.55 WHERE year =2006 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.52 WHERE year =2006 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.48 WHERE year =2007 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.6 WHERE year =2007 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.7 WHERE year =2007 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.83 WHERE year =2007 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.58 WHERE year =2008 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.67 WHERE year =2008 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.47 WHERE year =2008 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.54 WHERE year =2008 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.5 WHERE year =2009 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.5 WHERE year =2009 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.56 WHERE year =2009 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.43 WHERE year =2009 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.41 WHERE year =2010 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.54 WHERE year =2010 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.39 WHERE year =2010 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.59 WHERE year =2010 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.5 WHERE year =2011 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.55 WHERE year =2011 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.53 WHERE year =2011 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.5 WHERE year =2011 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.39 WHERE year =2012 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.52 WHERE year =2012 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.43 WHERE year =2012 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.63 WHERE year =2012 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.52 WHERE year =2013 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.68 WHERE year =2013 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.59 WHERE year =2013 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.58 WHERE year =2013 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.59 WHERE year =2014 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.64 WHERE year =2014 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.65 WHERE year =2014 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.55 WHERE year =2014 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.6 WHERE year =2015 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.57 WHERE year =2015 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = -3.47 WHERE year =2015 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.36 WHERE year =2015 AND month = 12 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = 0.52 WHERE year =2016 AND month = 3 AND day = 31 AND ticker = "TRP";
UPDATE corporate SET eps = -0.17 WHERE year =2016 AND month = 6 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = -0.43 WHERE year =2016 AND month = 9 AND day = 30 AND ticker = "TRP";
UPDATE corporate SET eps = 0.284 WHERE year =2001 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.319 WHERE year =2001 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.258 WHERE year =2001 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.348 WHERE year =2001 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.350 WHERE year =2002 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.360 WHERE year =2002 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.340 WHERE year =2002 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.387 WHERE year =2002 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.365 WHERE year =2003 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.415 WHERE year =2003 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.425 WHERE year =2003 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.46 WHERE year =2003 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.46 WHERE year =2004 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.465 WHERE year =2004 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.44 WHERE year =2004 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.465 WHERE year =2004 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.5 WHERE year =2005 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.52 WHERE year =2005 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.47 WHERE year =2005 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.57 WHERE year =2005 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.6 WHERE year =2006 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.61 WHERE year =2006 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.62 WHERE year =2006 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.71 WHERE year =2006 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.63 WHERE year =2007 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.72 WHERE year =2007 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.7 WHERE year =2007 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.76 WHERE year =2007 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.57 WHERE year =2008 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.67 WHERE year =2008 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.34 WHERE year =2008 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = -1.24 WHERE year =2008 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = -0.67 WHERE year =2009 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 1.09 WHERE year =2009 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = -0.12 WHERE year =2009 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.51 WHERE year =2009 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.64 WHERE year =2010 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = -1.36 WHERE year =2010 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = -0.55 WHERE year =2010 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 1 WHERE year =2010 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.54 WHERE year =2011 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.26 WHERE year =2011 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = -0.73 WHERE year =2011 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = -0.05 WHERE year =2011 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.66 WHERE year =2012 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = -0.18 WHERE year =2012 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = -0.14 WHERE year =2012 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.56 WHERE year =2012 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.28 WHERE year =2013 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.12 WHERE year =2013 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.54 WHERE year =2013 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.69 WHERE year =2013 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.42 WHERE year =2014 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.49 WHERE year =2014 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.58 WHERE year =2014 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.33 WHERE year =2014 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.36 WHERE year =2015 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.29 WHERE year =2015 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.3 WHERE year =2015 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.11 WHERE year =2015 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.51 WHERE year =2016 AND month = 3 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.34 WHERE year =2016 AND month = 6 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.55 WHERE year =2016 AND month = 9 AND day = 30 AND ticker = "MFC";
UPDATE corporate SET eps = 0.01 WHERE year =2016 AND month = 12 AND day = 31 AND ticker = "MFC";
UPDATE corporate SET eps = 0.56 WHERE year =2003 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.6 WHERE year =2003 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.65 WHERE year =2003 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.69 WHERE year =2003 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.73 WHERE year =2004 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.74 WHERE year =2004 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.82 WHERE year =2005 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.93 WHERE year =2006 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.86 WHERE year =2007 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 1.04 WHERE year =2007 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 1 WHERE year =2007 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.98 WHERE year =2007 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.93 WHERE year =2008 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.91 WHERE year =2008 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 1 WHERE year =2008 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = -1.24 WHERE year =2008 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = -0.34 WHERE year =2009 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 1.05 WHERE year =2009 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = -0.25 WHERE year =2009 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.52 WHERE year =2009 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.72 WHERE year =2010 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 1.19 WHERE year =2010 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.79 WHERE year =2010 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.88 WHERE year =2010 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.72 WHERE year =2011 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 1.19 WHERE year =2011 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.79 WHERE year =2011 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.88 WHERE year =2011 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.72 WHERE year =2012 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 1.19 WHERE year =2012 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.79 WHERE year =2012 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.88 WHERE year =2012 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.68 WHERE year =2013 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.65 WHERE year =2013 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.53 WHERE year =2013 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.94 WHERE year =2013 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.66 WHERE year =2014 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.7 WHERE year =2014 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.71 WHERE year =2014 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.82 WHERE year =2014 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.72 WHERE year =2015 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 1.19 WHERE year =2015 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.79 WHERE year =2015 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 0.88 WHERE year =2015 AND month = 12 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.88 WHERE year =2016 AND month = 3 AND day = 31 AND ticker = "SLF";
UPDATE corporate SET eps = 0.78 WHERE year =2016 AND month = 6 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 1.2 WHERE year =2016 AND month = 9 AND day = 30 AND ticker = "SLF";
UPDATE corporate SET eps = 1.19 WHERE year =2016 AND month = 12 AND day = 31 AND ticker = "SLF";
COMMIT TRANSACTION;
|
DROP DATABASE IF EXISTS `cafe`; # Usunięcie potencjalnie istniejącej bazy danych
CREATE DATABASE `cafe`; # Utworzenie nowej bazy danych
USE `cafe`; # Wybranie interesującej nas bazy, umożliwi to wykonywanie na niej wszelkich operacji
# Tworzenie tabel
DROP TABLE IF EXISTS `Employee`; # Usunięcie potencjalnie istniejącej tabeli
CREATE TABLE `Employee` ( # Utworzenie nowej tabeli
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`pesel number` varchar (11) UNIQUE,
`name` varchar (25) NOT NULL,
`surname` varchar (25) NOT NULL,
`sex` enum ('M', 'F') NOT NULL,
`birth date` date NOT NULL,
`city of residence` varchar (35) NOT NULL,
`street address` varchar (40) NOT NULL,
`apartment number` varchar (5) NOT NULL,
`phone number` varchar (12) NOT NULL
);
DROP TABLE IF EXISTS `Employment`;
CREATE TABLE `Employment` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`job` enum ('manager', 'cook', 'waiter') NOT NULL,
`hourly wage` decimal (5, 2) NOT NULL,
`date of employment` date NOT NULL,
`estate id` int NOT NULL
);
DROP TABLE IF EXISTS `Estate`;
CREATE TABLE `Estate` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`manager` int NOT NULL UNIQUE,
`city` varchar (35) NOT NULL,
`street address` varchar (40) NOT NULL,
`postcode` varchar (6) NOT NULL,
`phone number` varchar (12) NOT NULL
);
DROP TABLE IF EXISTS `Reservation`;
CREATE TABLE `Reservation` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`reservation start` timestamp NOT NULL,
`reservation finished` boolean NOT NULL DEFAULT false,
`table id` int NOT NULL
);
DROP TABLE IF EXISTS `Table`;
CREATE TABLE `Table` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`spots number` int NOT NULL,
`estate id` int NOT NULL
);
DROP TABLE IF EXISTS `Settlement`;
CREATE TABLE `Settlement` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`employment id` int NOT NULL,
`shift start` timestamp NOT NULL,
`shift end` timestamp NOT NULL
);
DROP TABLE IF EXISTS `Bill`;
CREATE TABLE `Bill` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`purchase type` enum ('at location', 'takeaway') NOT NULL DEFAULT "at location",
`payment method` enum ('cash', 'card') NOT NULL,
`purchase time` timestamp NOT NULL
);
DROP TABLE IF EXISTS `Bill order`;
CREATE TABLE `Bill order` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`bill id` int NOT NULL,
`menu item id` int NOT NULL,
`quantity` int NOT NULL
);
DROP TABLE IF EXISTS `Menu`;
CREATE TABLE `Menu` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`name` varchar (25) NOT NULL,
`category` enum ('drink', 'appetizer', 'dessert') NOT NULL,
`price` decimal (5, 2) NOT NULL,
`available` boolean NOT NULL DEFAULT true
);
DROP TABLE IF EXISTS `Ingredients list`;
CREATE TABLE `Ingredients list` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`menu item id` int NOT NULL,
`ingredient id` int NOT NULL
);
DROP TABLE IF EXISTS `Ingredient`;
CREATE TABLE `Ingredient` (
`id` int PRIMARY KEY NOT NULL UNIQUE AUTO_INCREMENT,
`name` varchar (25) NOT NULL
);
# Tworzenie relacji
ALTER TABLE # Modyfikacja tabeli poprzez nawiązanie relacji
`Employment`
ADD FOREIGN KEY (`id`)
REFERENCES `Employee` (`id`),
ADD FOREIGN KEY (`estate id`)
REFERENCES `Estate` (`id`);
ALTER TABLE
`Estate`
ADD FOREIGN KEY (`manager`)
REFERENCES `Employee` (`id`);
ALTER TABLE
`Reservation`
ADD FOREIGN KEY (`table id`)
REFERENCES `Table` (`id`);
ALTER TABLE
`Table`
ADD FOREIGN KEY (`estate id`)
REFERENCES `Estate` (`id`);
ALTER TABLE
`Settlement`
ADD FOREIGN KEY (`employment id`)
REFERENCES `Employment` (`id`);
ALTER TABLE
`Bill order`
ADD FOREIGN KEY (`bill id`)
REFERENCES `Bill` (`id`),
ADD FOREIGN KEY (`menu item id`)
REFERENCES `Menu` (`id`);
ALTER TABLE
`Ingredients list`
ADD FOREIGN KEY (`menu item id`)
REFERENCES `Menu` (`id`),
ADD FOREIGN KEY (`ingredient id`)
REFERENCES `Ingredient` (`id`);
# Dodawanie rekordów
INSERT INTO # Dodanie rekordów do tabeli z wyszczególnionymi polami
`Employee` (`pesel number`, `name`, `surname`, `sex`, `birth date`, `city of residence`, `street address`, `apartment number`, `phone number`)
VALUES
(99110139100, 'Zofia', 'Michalik', 'F', '1999-11-01', 'Kraków', 'Gołaśka 10', '23', '+48789070572'),
(85050502348, 'Wiktoria', 'Przybylska', 'F', '1985-05-05', 'Lublin', 'Lipowa 10', '8', '+48792557494'),
(93061564259, 'Jan', 'Czerwiński', 'M', '1993-06-15', 'Warszawa', 'Goworowska 6', '13', '+48608724642'),
(85112613733, 'Stanisław', 'Nowak', 'M', '1985-11-26', 'Poznań', 'Nowogrodzka 4', '7a', '+48885074505'),
(97122622656, 'Wojciech', 'Dudek', 'M', '1997-12-26', 'Kraków', 'Stefana Garczyńskiego 19', '10', '+48509840582'),
(92063021942, 'Małgorzata', 'Górska', 'F', '1992-06-30', 'Gdańsk', 'Sochaczewska 16', '25', '+48791610857'),
(90101208447, 'Patrycja', 'Malinowska', 'F', '1990-10-12', 'Warszawa', 'Kurhan 8', '5', '+48797764730'),
(84072787870, 'Tadeusz', 'Ostrowski', 'M', '1984-07-27', 'Poznań', 'Podgórze 10', '23b', '+48600806538'),
(96102353100, 'Dominika', 'Mazurek', 'F', '1996-10-23', 'Gdańsk', 'Michała Glinki 35', '8', '+48883050649'),
(92030189220, 'Zuzanna', 'Mazur', 'F', '1992-03-01', 'Gdynia', 'Kapitańska 2', '9c', '+48694377631'),
(91082939593, 'Hubert', 'Sawicki', 'M', '1991-08-29', 'Warszawa', 'Krypska 15', '1', '+48533825461'),
(91070680414, 'Krystian', 'Jaworski', 'M', '1991-07-06', 'Lublin', '3 Maja 33', '14', '+48505375408'),
(89061247076, 'Michał', 'Piasecki', 'M', '1989-06-12', 'Gdańsk', 'Józefa Kotarbińskiego 6', '1', '+48604677643'),
(97122048331, 'Oliwier', 'Karpiński', 'M', '1997-12-20', 'Warszawa', 'Wytworna 35', '7', '+48725551266'),
(97090968493, 'Szymon', 'Jarosz', 'M', '1997-09-09', 'Kraków', 'Murarska 22', '11', '+48507984706'),
(98061712769, 'Anna', 'Marciniak', 'F', '1998-06-17', 'Lublin', 'Lotnicza 5', '2', '+48697992577'),
(86051912385, 'Zuzanna', 'Makowska', 'F', '1986-05-19', 'Warszawa', 'Adolfa Dygasińskiego 20', '12', '+48696399861'),
(81070145477, 'Michał', 'Witkowski', 'M', '1981-07-01', 'Świdnik', 'Racławicka 13', '19', '+48506620062'),
(88050170722, 'Hanna', 'Wiśniewska', 'F', '1988-05-01', 'Kraków', 'Widna 24', '13', '+48792169523'),
(86021901579, 'Kacper', 'Kamiński', 'M', '1986-02-19', 'Warszawa', 'Antoniego Ponikowskiego 4', '2', '+48883113942'),
(97011996473, 'Stanisław', 'Pietrzak', 'M', '1997-01-19', 'Warszawa', 'Królowej Aldony 18', '25', '+48729851383'),
(99090157905, 'Gabriela', 'Jaworska', 'F', '1999-09-01', 'Gdańsk', 'Strajku Dokerów 27', '14', '+48667857396'),
(96102721091, 'Wiktor', 'Barański', 'M', '1996-10-27', 'Warszawa', 'Pilicka 4', '12', '+48502075833'),
(99040787129, 'Weronika', 'Wilk', 'F', '1999-04-07', 'Lublin', 'Łęczyńska 17', '24', '+48782737439'),
(87040176959, 'Maciej', 'Żak', 'M', '1987-04-01', 'Warszawa', 'Głubczycka 6', '20', '+48666079458'),
(88073183101, 'Julia', 'Bukowska', 'F', '1988-07-31', 'Gdynia', 'Wacława Sieroszewskiego 24', '14', '+48606093341'),
(87042059720, 'Maria', 'Wesołowska', 'F', '1987-04-20', 'Kraków', 'Bagrowa 29', '23', '+48733139605'),
(86042432669, 'Aleksandra', 'Stankiewicz', 'F', '1986-04-24', 'Poznań', 'Barzyńskiego 16', '23', '+48501029363'),
(93102524026, 'Oliwia', 'Wójtowicz', 'F', '1993-10-25', 'Lublin', 'Strzelecka 23', '14b', '+48737519089'),
(92010527103, 'Natalia', 'Woźniak', 'F', '1992-01-05', 'Kraków', 'Słupska 26', '16', '+48666930158');
INSERT INTO
`Estate` (`manager`, `city`, `street address`, `postcode`, `phone number`)
VALUES
(1, 'Lublin', 'Idziego Radziszewskiego 16', '20-031', '+48707026624'),
(4, 'Lublin', 'Krakowskie Przedmieście 4', '20-002', '+48698253087'),
(7, 'Warszawa', 'plac Thomasa Woodrowa Wilsona 2', '01-615', '+48764230974'),
(10, 'Kraków', 'plac Szczepański 2', '31-011', '+48750945082'),
(13, 'Poznań', 'Krysiewicza 6', '61-825', '+48936501845'),
(16, 'Kraków', 'Rakowicka 17', '31-511', '+48942375933'),
(19, 'Gdańsk', 'Szafarnia 6', '80-755', '+48572405435'),
(22, 'Warszawa', 'Żelazna 32', '00-832', '+48567249614'),
(25, 'Warszawa', 'aleja Wyzwolenia 18', '00-570', '+48593647246'),
(28, 'Sopot', 'Powstańców Warszawy 10', '81-718', '+48924724073');
INSERT INTO
`Employment` (`job`, `hourly wage`, `date of employment`, `estate id`)
VALUES
('cook', 32, '2015-01-06', 6),
('manager', 51, '2015-02-02', 1),
('cook', 25, '2015-08-11', 9),
('waiter', 11, '2015-08-30', 5),
('manager', 51, '2015-09-05', 4),
('manager', 54, '2015-09-12', 7),
('cook', 33, '2015-09-20', 8),
('cook', 26, '2015-11-08', 5),
('waiter', 17, '2016-03-28', 7),
('cook', 33, '2016-03-30', 7),
('waiter', 14, '2016-03-08', 3),
('cook', 27, '2016-04-19', 1),
('cook', 26, '2016-04-20', 10),
('manager', 56, '2016-06-14', 8),
('cook', 30, '2016-07-14', 4),
('waiter', 12, '2016-07-27', 2),
('waiter', 10, '2016-09-17', 9),
('waiter', 11, '2016-10-03', 1),
('waiter', 12, '2016-11-24', 4),
('manager', 55, '2016-11-28', 9),
('cook', 28, '2016-12-12', 3),
('waiter', 14, '2017-01-06', 10),
('manager', 52, '2017-03-10', 3),
('cook', 31, '2017-04-12', 2),
('waiter', 18, '2017-04-28', 8),
('manager', 57, '2017-05-18', 10),
('manager', 50, '2017-06-29', 6),
('manager', 54, '2017-07-25', 5),
('manager', 51, '2017-10-10', 2),
('waiter', 14, '2017-10-27', 6);
INSERT INTO
`Settlement` (`employment id`, `shift start`, `shift end`)
VALUES
(7, '2020-05-01 07:43:09', '2020-05-01 16:18:01'),
(21, '2020-05-01 08:45:49', '2020-05-01 18:13:33'),
(28, '2020-05-01 07:50:05', '2020-05-01 16:15:25'),
(22, '2020-05-02 07:47:35', '2020-05-02 16:14:59'),
(30, '2020-05-03 08:48:14', '2020-05-03 18:10:48'),
(12, '2020-05-03 08:49:10', '2020-05-03 18:12:30'),
(15, '2020-05-03 08:50:01', '2020-05-03 18:15:30'),
(29, '2020-05-04 08:42:13', '2020-05-04 18:18:18'),
(6, '2020-05-05 08:44:57', '2020-05-05 18:16:17'),
(22, '2020-05-05 07:47:21', '2020-05-05 16:10:23'),
(1, '2020-05-06 07:43:10', '2020-05-06 16:15:46'),
(8, '2020-05-06 08:43:51', '2020-05-06 18:11:39'),
(2, '2020-05-06 08:45:49', '2020-05-06 18:10:57'),
(2, '2020-05-06 08:46:22', '2020-05-06 18:10:36'),
(4, '2020-05-07 07:45:59', '2020-05-07 16:17:43'),
(29, '2020-05-08 08:43:32', '2020-05-08 18:18:07'),
(23, '2020-05-08 08:45:41', '2020-05-08 18:14:52'),
(15, '2020-05-08 08:46:13', '2020-05-08 18:15:23'),
(18, '2020-05-08 08:46:30', '2020-05-08 18:10:48'),
(11, '2020-05-08 08:49:21', '2020-05-08 18:16:47'),
(10, '2020-05-09 07:47:22', '2020-05-09 16:10:09'),
(9, '2020-05-09 08:48:12', '2020-05-09 18:13:21'),
(10, '2020-05-10 07:42:45', '2020-05-10 16:17:16'),
(4, '2020-05-10 07:48:32', '2020-05-10 16:13:44'),
(13, '2020-05-10 07:48:55', '2020-05-10 16:12:43'),
(23, '2020-05-10 08:49:54', '2020-05-10 18:12:47'),
(26, '2020-05-10 08:50:03', '2020-05-10 18:17:07'),
(3, '2020-05-11 08:45:41', '2020-05-11 18:17:45'),
(24, '2020-05-11 08:48:51', '2020-05-11 18:16:55'),
(30, '2020-05-11 08:48:52', '2020-05-11 18:13:07'),
(11, '2020-05-12 08:45:11', '2020-05-12 18:14:55'),
(25, '2020-05-13 07:46:54', '2020-05-13 16:13:01'),
(9, '2020-05-13 08:48:22', '2020-05-13 18:17:41'),
(21, '2020-06-01 08:42:01', '2020-06-01 18:16:56'),
(24, '2020-06-01 08:43:27', '2020-06-01 18:12:53'),
(8, '2020-06-01 08:43:32', '2020-06-01 18:11:09'),
(20, '2020-06-01 08:44:05', '2020-06-01 18:10:12'),
(12, '2020-06-02 08:42:10', '2020-06-02 18:12:24'),
(26, '2020-06-02 08:47:28', '2020-06-02 18:17:07'),
(14, '2020-06-02 08:50:47', '2020-06-02 18:10:27'),
(20, '2020-06-03 08:49:04', '2020-06-03 18:10:03'),
(25, '2020-06-04 07:50:42', '2020-06-04 16:11:29'),
(1, '2020-06-05 07:46:02', '2020-06-05 16:11:14'),
(5, '2020-06-05 08:46:06', '2020-06-05 18:11:44'),
(13, '2020-06-05 07:48:29', '2020-06-05 16:12:24'),
(7, '2020-06-06 07:43:08', '2020-06-06 16:18:10'),
(14, '2020-06-06 08:43:14', '2020-06-06 18:16:30'),
(5, '2020-06-07 08:46:07', '2020-06-07 18:10:55'),
(18, '2020-06-08 08:45:54', '2020-06-08 18:15:46'),
(17, '2020-06-08 08:48:14', '2020-06-08 18:12:26'),
(3, '2020-06-08 08:50:20', '2020-06-08 18:17:40'),
(6, '2020-06-09 08:46:55', '2020-06-09 18:14:29'),
(27, '2020-06-10 08:42:02', '2020-06-10 18:12:30'),
(16, '2020-06-11 07:42:09', '2020-06-11 16:13:31'),
(28, '2020-06-11 07:42:50', '2020-06-11 16:13:57'),
(19, '2020-06-13 07:43:05', '2020-06-13 16:12:13'),
(19, '2020-06-13 07:43:55', '2020-06-13 16:10:46'),
(16, '2020-06-13 07:49:02', '2020-06-13 16:14:28'),
(27, '2020-06-13 08:47:01', '2020-06-13 18:14:07'),
(17, '2020-06-13 08:48:25', '2020-06-13 18:16:20');
INSERT INTO
`Table` (`spots number`, `estate id`)
VALUES
(2, 1),
(3, 1),
(4, 1),
(2, 2),
(3, 2),
(4, 2),
(2, 3),
(3, 3),
(4, 3),
(2, 4),
(3, 4),
(4, 4),
(2, 5),
(3, 5),
(4, 5),
(2, 6),
(3, 6),
(4, 6),
(2, 7),
(3, 7),
(4, 7),
(2, 8),
(3, 8),
(4, 8),
(2, 9),
(3, 9),
(4, 9),
(2, 10),
(3, 10),
(4, 10);
INSERT INTO
`Reservation` (`reservation start`, `table id`)
VALUES
('2020-05-01 13:00:00', 6),
('2020-05-03 10:00:00', 6),
('2020-05-04 10:30:00', 10),
('2020-05-04 15:00:00', 8),
('2020-05-04 15:00:00', 4),
('2020-05-06 11:30:00', 13),
('2020-05-07 13:00:00', 23),
('2020-05-08 12:00:00', 28),
('2020-05-11 12:30:00', 29),
('2020-05-11 14:00:00', 11),
('2020-05-12 13:00:00', 30),
('2020-05-13 10:30:00', 17),
('2020-05-13 15:00:00', 22),
('2020-06-04 11:30:00', 13),
('2020-06-04 13:00:00', 2),
('2020-06-05 12:00:00', 30),
('2020-06-07 10:00:00', 12),
('2020-06-07 11:00:00', 16),
('2020-06-07 11:00:00', 11),
('2020-06-07 13:00:00', 29),
('2020-06-07 13:30:00', 22),
('2020-06-08 11:30:00', 5),
('2020-06-08 14:00:00', 21),
('2020-06-11 10:00:00', 15),
('2020-06-12 12:00:00', 1),
('2020-06-12 14:00:00', 3),
('2020-06-12 15:00:00', 5),
('2020-06-13 12:30:00', 7),
('2020-06-21 10:00:00', 10),
('2020-06-27 16:30:00', 19);
INSERT INTO
`Menu` (`name`, `category`, `price`)
VALUES
('Latte', 1, 11.40),
('Americano', 1, 11.40),
('Cappuccino', 1, 14.40),
('Frappe', 1, 14.40),
('Espresso', 1, 14.40),
('Sałatka grecka', 2, 24.20),
('Sałatka nicejska', 2, 24.20),
('Sałatka Cezar', 2, 26.20),
('Sałatka Caprese', 2, 26.20),
('Sałatka Coleslaw', 2, 22.20),
('Tiramisu', 3, 16.90),
('Panna Cotta', 3, 16.90),
('Crème brûlée', 3, 22.90),
('Poire belle Hélène', 3, 24.90),
('Pastéis de Belém', 3, 24.90);
INSERT INTO
`Ingredient` (`name`)
VALUES
('nabiał'),
('gluten'),
('mięso');
INSERT INTO
`Ingredients list` (`menu item id`, `ingredient id`)
VALUES
(1, 1),
(2, 1),
(3, 1),
(4, 1),
(6, 1),
(7, 1),
(7, 2),
(8, 1),
(8, 2),
(8, 3),
(9, 1),
(10, 1),
(10, 2),
(11, 1),
(11, 2),
(12, 1),
(13, 1),
(14, 2),
(15, 2);
INSERT INTO
`Bill` (`purchase type`, `payment method`, `purchase time`)
VALUES
('at location', 'card', '2020-05-04 12:30:16'),
('at location', 'cash', '2020-05-04 12:54:18'),
('at location', 'cash', '2020-05-05 10:57:45'),
('at location', 'card', '2020-05-08 12:02:10'),
('takeaway', 'cash', '2020-05-12 10:39:18'),
('at location', 'card', '2020-06-02 15:25:03'),
('at location', 'card', '2020-06-03 16:17:55'),
('at location', 'card', '2020-06-03 17:08:21'),
('at location', 'cash', '2020-06-04 14:46:10'),
('takeaway', 'card', '2020-06-05 11:45:03'),
('at location', 'cash', '2020-06-05 15:23:58'),
('takeaway', 'card', '2020-06-06 15:38:10'),
('takeaway', 'card', '2020-06-08 11:38:45'),
('at location', 'card', '2020-06-12 11:44:52'),
('at location', 'cash', '2020-06-13 17:17:53');
INSERT INTO
`Bill order` (`bill id`, `menu item id`, `quantity`)
VALUES
(1, 14, 2),
(1, 15, 2),
(2, 11, 2),
(2, 6, 3),
(3, 2, 1),
(4, 1, 1),
(5, 1, 2),
(6, 7, 2),
(6, 5, 2),
(7, 13, 1),
(8, 15, 1),
(8, 5, 1),
(8, 8, 1),
(9, 8, 3),
(10, 6, 2),
(11, 5, 1),
(11, 12, 1),
(11, 8, 1),
(11, 7, 2),
(12, 4, 1),
(13, 9, 1),
(13, 14, 1),
(14, 14, 2),
(14, 1, 1),
(15, 2, 1);
# Uaktualnienia danych
UPDATE # Modyfikacja rekordów tabeli, określa niedostępność trzeciej pozycji z menu
`Menu`
SET `available` = false
WHERE `id` = 3;
UPDATE # Określa niedostępność dziesiątej pozycji z menu
`Menu`
SET `available` = false
WHERE `id` = 10;
SET SQL_SAFE_UPDATES = 0; # Dezaktywacja trybu bezpiecznego narzucającego konieczność odwołania się do klucza przy klauzuli "WHERE"
UPDATE # Potwierdza zakończenie rezerwacji starszych niż doba
`Reservation`
SET `reservation finished` = true
WHERE `reservation finished` = false AND `reservation start` < SUBDATE(NOW(), 1);
SET SQL_SAFE_UPDATES = 1; # Aktywacja trybu bezpiecznego
# Projekcje
SELECT # Zwraca czas rezerwacji oraz ich stan
`reservation start`,
`reservation finished`
FROM `Reservation`;
SELECT # Zwraca podstawowe dane pozycji z menu wraz z jej dostępnością
`name`,
`category`,
`price`,
`available`
FROM `Menu`;
SELECT # Zwraca dane osobowe i dane kontaktowe pracowników
CONCAT(`name`, ' ', `surname`) AS 'employee',
`city of residence`,
`street address`,
`apartment number`,
`phone number`
FROM `Employee`;
SELECT # Zwraca dane kontaktowe poszczególnych lokali
`city`,
`street address`,
`postcode`,
`phone number`
FROM `Estate`;
SELECT # Zwraca średnią cenę pozycji z menu względem jej kategorii
`category`,
ROUND(AVG(`price`), 2) AS 'price'
FROM `Menu`
GROUP BY `category`
ORDER BY `category`;
SELECT # Zwraca średnią stawkę godzinową w zależności od wykonywanego zawodu
`job`,
ROUND(AVG(`hourly wage`), 2) AS 'hourly wage'
FROM `Employment`
GROUP BY `job`
ORDER BY `job`;
SELECT # Zwraca ilość stolików ze względu na ilość miejsc
`spots number`,
COUNT(id) AS 'tables number'
FROM `Table`
GROUP BY `spots number`;
SELECT # Zwraca ilość zamówień ze względu na ich typ
`purchase type`,
COUNT(`id`) AS 'quantity'
FROM `Bill`
GROUP BY `purchase type`
ORDER BY `purchase type`;
SELECT # Zwraca ilość zamówień ze względu na typ płatności
`payment method`,
COUNT(`id`) AS 'quantity'
FROM `Bill`
GROUP BY `payment method`
ORDER BY `payment method`;
SELECT # Zwraca średnią ilość pozycji z menu na jedno zamówienie
ROUND(SUM(`quantity`) / COUNT(DISTINCT `bill id`), 2) AS 'orders'
FROM `Bill order`;
# Selekcje
SELECT # Zwraca rachunki zamówień na miejscu
*
FROM `Bill`
WHERE `purchase type` = 'at location';
SELECT # Zwraca rachunki zamówień na wynos
*
FROM `Bill`
WHERE `purchase type` = 'takeaway';
SELECT # Zwraca rachunki zamówień opłaconych kartą
*
FROM `Bill`
WHERE `payment method` = 'card';
SELECT # Zwraca rachunki zamówień opłaconych gotówką
*
FROM `Bill`
WHERE `payment method` = 'cash';
SELECT # Zwraca dostępne pozycje z menu
*
FROM `Menu`
WHERE `available` = true;
SELECT # Zwraca niedostępne pozycje z menu
*
FROM `Menu`
WHERE `available` = false;
SELECT # Zwraca napoje z menu
*
FROM `Menu`
WHERE `category` = 'drink';
SELECT # Zwraca przystawki z menu
*
FROM `Menu`
WHERE `category` = 'appetizer';
SELECT # Zwraca desery z menu
*
FROM `Menu`
WHERE `category` = 'dessert';
SELECT # Zwraca niezakończone rezerwacje
*
FROM `Reservation`
WHERE `reservation finished` = false;
# Zapytania łączące dwie tabele
SELECT # Zwraca wartości rachunków
SUM(`Menu`.`price` * `Bill order`.`quantity`) AS 'price'
FROM (`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
GROUP BY `Bill order`.`bill id`
ORDER BY SUM(`Menu`.`price` * `Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość zamówień danych napojów
`Menu`.`name`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM (`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
WHERE `Menu`.`category` = 'drink'
GROUP BY `Menu`.`name`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość zamówień danych przystawek
`Menu`.`name`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM (`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
WHERE `Menu`.`category` = 'appetizer'
GROUP BY `Menu`.`name`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość zamówień danych deserów
`Menu`.`name`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM (`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
WHERE `Menu`.`category` = 'dessert'
GROUP BY `Menu`.`name`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość zamówień z zeszłego miesiąca ze względu na typ zamówienia
`Bill`.`purchase type`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM (`Bill order`
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Bill`.`purchase type`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość zamówień z zeszłego miesiąca ze względu na metodę płatności
`Bill`.`payment method`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM (`Bill order`
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Bill`.`payment method`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca wartość wynagrodzeń należnych za poprzedni miesiąc ze względu na wykonywany zawód
`Employment`.`job`,
ROUND(SUM((TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) * `Employment`.`hourly wage`), 2) as 'payment'
FROM (`Employment`
INNER JOIN `Settlement` ON `Employment`.`id` = `Settlement`.`employment id`)
WHERE MONTH(`Settlement`.`shift start`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Employment`.`job`
ORDER BY ROUND(SUM((TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) * `Employment`.`hourly wage`), 2) DESC;
SELECT # Zwraca ilość godzin przepracowanych w poprzednim miesiącu ze względu na wykonywany zawód
`Employment`.`job`,
SUM(TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) AS `hours`
FROM (`Employment`
INNER JOIN `Settlement` ON `Employment`.`id` = `Settlement`.`employment id`)
WHERE MONTH(`Settlement`.`shift start`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Employment`.`job`
ORDER BY SUM(TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) DESC;
SELECT # Zwraca liczbę rezerwacji z poprzedniego miesiąca ze względu na ilość miejsc
`Table`.`spots number`,
COUNT(`Reservation`.`id`) AS 'quantity'
FROM (`Table`
INNER JOIN `Reservation` ON `Table`.`id` = `Reservation`.`table id`)
WHERE MONTH(`Reservation`.`reservation start`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Table`.`spots number`
ORDER BY COUNT(`Reservation`.`id`) DESC;
SELECT # Zwraca liczbę rezerwacji z poprzedniego miesiąca ze względu na lokal
`Table`.`estate id`,
COUNT(`Reservation`.`id`) AS 'quantity'
FROM (`Table`
INNER JOIN `Reservation` ON `Table`.`id` = `Reservation`.`table id`)
WHERE MONTH(`Reservation`.`reservation start`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Table`.`estate id`
ORDER BY COUNT(`Reservation`.`id`) DESC;
# Zapytania łączące trzy tabele
SELECT # Zwraca wartości rachunków z zeszłego miesiąca
SUM(`Menu`.`price` * `Bill order`.`quantity`) AS 'price'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Bill`.`id`
ORDER BY SUM(`Menu`.`price` * `Bill order`.`quantity`) DESC;
SELECT # Zwraca wartości rachunków z zeszłego miesiąca ze względu na typ zamówienia
`Bill`.`purchase type`,
SUM(`Menu`.`price` * `Bill order`.`quantity`) AS 'price'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Bill`.`purchase type`
ORDER BY SUM(`Menu`.`price` * `Bill order`.`quantity`) DESC;
SELECT # Zwraca wartości rachunków z zeszłego miesiąca ze względu na metodę płatności
`Bill`.`payment method`,
SUM(`Menu`.`price` * `Bill order`.`quantity`) AS 'price'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Bill`.`payment method`
ORDER BY SUM(`Menu`.`price` * `Bill order`.`quantity`) DESC;
SELECT # Zwraca wartość zamówień z zeszłego miesiąca ze względu na ich kategorię
`Menu`.`category`,
SUM(`Menu`.`price`) as 'price'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Menu`.`category`
ORDER BY SUM(`Menu`.`price`) DESC;
SELECT # Zwraca ilości zamówień z zeszłego miesiąca ze względu na ich kategorię
`Menu`.`category`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Menu`.`category`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość danych napojów zamówionych w poprzednim miesiącu
`Menu`.`name`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE `Menu`.`category` = 'drink' AND MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Menu`.`name`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość danych przystawek zamówionych w poprzednim miesiącu
`Menu`.`name`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE `Menu`.`category` = 'appetizer' AND MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Menu`.`name`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca ilość danych deserów zamówionych w poprzednim miesiącu
`Menu`.`name`,
SUM(`Bill order`.`quantity`) AS 'quantity'
FROM ((`Bill order`
INNER JOIN `Menu` ON `Bill order`.`menu item id` = `Menu`.`id`)
INNER JOIN `Bill` ON `Bill order`.`bill id` = `Bill`.`id`)
WHERE `Menu`.`category` = 'dessert' AND MONTH(`Bill`.`purchase time`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Menu`.`name`
ORDER BY SUM(`Bill order`.`quantity`) DESC;
SELECT # Zwraca dane osobowe, wykonywany zawód oraz ilość godzin przepracowanych w zeszłym miesiącu
CONCAT(`Employee`.`name`, ' ', `Employee`.`surname`) AS 'employee',
`Employment`.`job`,
SUM(TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) AS `hours`
FROM ((`Employment`
INNER JOIN `Settlement` ON `Employment`.`id` = `Settlement`.`employment id`)
INNER JOIN `Employee` ON `Employment`.`id` = `Employee`.`id`)
WHERE MONTH(`Settlement`.`shift start`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Employee`.`id`
ORDER BY SUM(TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) DESC;
SELECT # Zwraca dane osobowe, stawkę godzinową, ilość godzin przepracowanych w zeszłym miesiącu oraz wynagrodzenie należne za poprzedni miesiąc
CONCAT(`Employee`.`name`, ' ', `Employee`.`surname`) AS 'employee',
`Employment`.`hourly wage`,
SUM(TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) AS `hours`,
ROUND(SUM((TIMESTAMPDIFF(SECOND, `Settlement`.`shift start`, `Settlement`.`shift end`) / 3600) * `Employment`.`hourly wage`), 2) as 'payment'
FROM ((`Employment`
INNER JOIN `Settlement` ON `Employment`.`id` = `Settlement`.`employment id`)
INNER JOIN `Employee` ON `Employment`.`id` = `Employee`.`id`)
WHERE MONTH(`Settlement`.`shift start`) = MONTH(CURRENT_DATE()) - 1
GROUP BY `Employee`.`id`
ORDER BY `Employment`.`job`;
|
/* Testing drop server with data */
SELECT * FROM profile.drop_server('local');
DROP EXTENSION pg_profile;
DROP EXTENSION pg_stat_kcache;
DROP EXTENSION pg_stat_statements;
DROP EXTENSION dblink;
DROP SCHEMA profile;
DROP SCHEMA dblink;
DROP SCHEMA statements;
DROP SCHEMA kcache;
|
SELECT wd.DepositGroup,
wd.IsDepositExpired,
AVG(wd.DepositInterest) AS [AverageInterest]
FROM WizzardDeposits AS wd
WHERE wd.DepositStartDate > '01/01/1985'
GROUP BY wd.DepositGroup,
wd.IsDepositExpired
ORDER BY wd.DepositGroup DESC,
wd.IsDepositExpired |
/*
Navicat MySQL Data Transfer
Source Server : 连接1
Source Server Version : 80019
Source Host : localhost:3306
Source Database : demo1_login
Target Server Type : MYSQL
Target Server Version : 80019
File Encoding : 65001
Date: 2020-02-16 15:01:53
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `user`
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` int unsigned NOT NULL AUTO_INCREMENT,
`account` int NOT NULL,
`password` varchar(18) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`name` varchar(40) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT 'name',
`age` int DEFAULT '0',
`sex` int DEFAULT '1' COMMENT '1 = man,0 = woman',
`avatar` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT 'tou Xiang',
`signature` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT 'no words' COMMENT 'word',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=12 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES ('1', '1141517977', 'jiweihao', '季炜浩', '19', '1', 'C:\\Users\\Administrator\\Desktop\\20200216140415', '无');
INSERT INTO `user` VALUES ('11', '123', 'as', 'ex', '12', '1', null, 'asdf');
|
CREATE DATABASE IF NOT EXISTS `test_db` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;
USE `test_db`;
DROP TABLE IF EXISTS `role`;
CREATE TABLE `role` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '角色id',
`rolename` varchar(20) NOT NULL COMMENT '角色名称',
`description` varchar(50) DEFAULT NULL COMMENT '备注信息',
PRIMARY KEY (`id`),
UNIQUE KEY `rolename` (`rolename`)
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COMMENT='角色表';
DROP TABLE IF EXISTS `permission`;
CREATE TABLE `permission` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '权限id',
`agid` int(11) NOT NULL COMMENT '权限组id',
`name` varchar(20) NOT NULL COMMENT '权限名',
`description` varchar(50) DEFAULT NULL COMMENT '备注',
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COMMENT='权限表';
DROP TABLE IF EXISTS `authgroup`;
CREATE TABLE `authgroup` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '权限组表id',
`groupname` varchar(20) NOT NULL COMMENT '组名',
`description` varchar(20) DEFAULT NULL COMMENT '组描述',
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COMMENT='权限组表';
DROP TABLE IF EXISTS `role_agroup`;
CREATE TABLE `role_agroup` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '关联表id',
`rid` int(11) NOT NULL COMMENT '角色id',
`agid` int(11) NOT NULL COMMENT '权限组id',
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COMMENT='角色权限组关联表';
INSERT INTO `role` VALUES
('1', 'admin', '管理员'),
('2', 'externald', '外部用户'),
('3', 'internal', '内部用户');
INSERT INTO `authgroup` VALUES
('1', 'admin', '管理员权限组'),
('2', 'output', '导出权限组'),
('3', 'upload', '上传权限组'),
('4', 'modify', '修改权限组'),
('5', 'getinfo', '查看权限组'),
('6', 'general', '通用权限组');
INSERT INTO `role_agroup`(`rid`,`agid`) VALUES
('1', '1'),
('1', '2'),
('1', '3'),
('1', '4'),
('1', '5'),
('2', '4'),
('2', '5'),
('3', '2'),
('3', '3'),
('3', '4'),
('3', '5');
# 管理员权限组
# 导出权限组
# 上传权限组
# 修改权限组
# 查看权限组
# 通用权限组
|
-- Create a table named "users" with the following columns:
-- fullname (string)
-- username (string) unique, max length = 15
-- email (string) primary key
-- password (string)
-- created_at (timestamp) default to current timestamp
--
-- Write your query below:
CREATE TABLE IF NOT EXISTS users (
fullname varchar (50) NOT NULL,
username varchar (15) NOT NULL UNIQUE,
email varchar (40) PRIMARY KEY NOT NULL,
password varchar (40) NOT NULL,
created_at timestamp DEFAULT now()
); |
/*
Fysiek ontwerp v0.3
Secundaire indexen referentie Implementatiemodel v0.5
*/
-- PRODUCT
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Product_type_code en/ of Product_name. */
CREATE INDEX idx_Product_type_code
ON product (Product_type_code ASC);
CREATE INDEX idx_Product_name
ON product (Product_name ASC);
-- MEDEWERKERS
/* Afgezien van de PK is de verwachting dat er veel gezochat zal gaan worden
op Country_code en/ of Postcode. */
CREATE INDEX idx_Country_code
ON Sales_Branche (Country_code ASC);
CREATE INDEX idx_Postal_zone
ON Sales_Branche (Postal_zone ASC);
/* Om de SP controleerBonusGehaald vlot te kunnen laten verlopen wordt
er een index gemaakt op Werknemer_id. */
CREATE INDEX idx_Werknemer_id
ON Bonus (Werknemer_id ASC);
/* Afgezien van de PK en ook om de SP controleerBonusGehaald vlot te
kunnen laten verlopen is er een index gemaakt op Sales_target. */
CREATE INDEX idx_Sales_target
ON Sales_target (Sales_target ASC);
/* Afgezien van de PK en ook om de SP controleerSalarisMetManager vlot te
kunnen laten verlopen is er een index gemaakt op Salaris en op Manager. */
CREATE INDEX idx_Salaris
ON werknemer (Salaris ASC);
CREATE INDEX idx_Manager
ON werknemer (Manager ASC);
-- HRM
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Werkervaring. */
CREATE INDEX idx_Werkervaring
ON Werknemer_CV (Werkervaring ASC);
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Naam. */
CREATE INDEX idx_Naam
ON Cursus (Naam ASC);
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Werknemer_id. */
CREATE INDEX idx_Werknemer_id
ON Training (Werknemer_id ASC);
-- ORDERS
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Werknemer_id. */
CREATE INDEX idx_Werknemer_id
ON Order_header (Werknemer_id ASC);
/* Afgezien van de PK en ook om de SP controleerBonusGehaald vlot te
kunnen laten verlopen hoort er een index gemaakt te worden op
Order_number en op Product_number. */
CREATE INDEX idx_Order_number
ON Order_details (Order_number ASC);
CREATE INDEX idx_Product_number
ON Order_details (Product_number ASC);
-- CUSTOMER
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Klant_naam. */
CREATE INDEX idx_Klant_naam
ON Klant (Klant_naam ASC);
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Klant_type. */
CREATE INDEX idx_Klant_type
ON Klant (Klant_type ASC);
-- VOORRAAD EN LOGISTIEK
/* Afgezien van de PK is de verwachting dat er veel gezocht zal gaan worden
op Product_number en op Inventory_levels. */
CREATE INDEX idx_Product_number
ON Inventory_levels (Product_number ASC);
CREATE INDEX idx_Inventory_count
ON Inventory_levels (Inventory_count ASC);
|
create index mc_sha1 on media_content(sha1_checksum(40));
|
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Nov 07, 2020 at 11:26 PM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.4.5
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `toko`
--
-- --------------------------------------------------------
--
-- Table structure for table `barangs`
--
CREATE TABLE `barangs` (
`id` bigint(20) UNSIGNED NOT NULL,
`user_id` int(11) NOT NULL,
`kategori_produk` text COLLATE utf8mb4_unicode_ci NOT NULL,
`nama_barang` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`gambar` text COLLATE utf8mb4_unicode_ci NOT NULL,
`harga` int(11) NOT NULL,
`stok` int(11) NOT NULL,
`keterangan` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`is_active` int(11) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `barangs`
--
INSERT INTO `barangs` (`id`, `user_id`, `kategori_produk`, `nama_barang`, `gambar`, `harga`, `stok`, `keterangan`, `is_active`, `created_at`, `updated_at`) VALUES
(1, 1, 'Produk Website', 'Toko Online Hijau', 'green.jpg', 400000, 9, 'Toko Online berwarna hijau dengan fitur checkout langsung ke whatasapp', 0, NULL, '2020-11-06 08:39:25'),
(2, 1, 'Produk Website', 'Toko Online Ungu', 'ungu.jpg', 500000, 7, 'Toko Online berwarna ungu dengan fitur checkout langsung ke whatasapp', 0, NULL, '2020-11-07 10:13:58'),
(3, 1, 'Produk Website', 'Toko Online Orange', 'orange.jpg', 350000, 7, 'Toko Online berwarna orange dengan fitur checkout langsung ke whatasapp', 1, NULL, NULL),
(4, 1, 'Kosmetik Wajah', 'Lipstik Natural', 'IMG-20200112-WA0015.jpg', 100000, 9, 'Lipstik Natural Lembab Merah Merona', 1, '2020-11-06 09:06:05', '2020-11-06 09:08:40'),
(5, 1, 'Kosmetik Wajah', 'Lipstik Delima', 'IMG-20200112-WA0027.jpg', 115000, 6, 'Lipstik merah delima tampil percaya diri', 1, '2020-11-06 09:11:58', '2020-11-06 09:11:58'),
(6, 1, 'Kosmetik Wajah', 'Lipstik Pelangi', 'IMG-20200112-WA0028.jpg', 112000, 5, 'Lipstik pelangi terang bercahaya di bibir', 1, '2020-11-06 09:15:11', '2020-11-06 09:15:11'),
(7, 1, 'Skincare Wajah', 'Masker Mudmask', 'IMG_20190102_204403.jpg', 300000, 9, 'Masker pembasmi jerawat di wajah', 1, '2020-11-06 10:15:50', '2020-11-07 01:24:45'),
(8, 1, 'Skincare Wajah', 'Serum RJ', 'IMG_20181205_075240.jpg', 100000, 4, 'Bikin Wajah glowing seketika', 1, '2020-11-07 00:42:23', '2020-11-07 09:12:52'),
(9, 1, 'Skincare Wajah', 'Pembersih Wajah', 'masker.jpg', 400000, 9, 'Masker pembersih wajah lengkap', 1, '2020-11-07 01:13:33', '2020-11-07 10:02:28');
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for 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),
(4, '2019_11_14_012711_create_pesanans_table', 1),
(5, '2019_11_14_012822_create_pesanan_details_table', 1),
(6, '2019_11_14_012420_create_barangs_table', 2);
-- --------------------------------------------------------
--
-- Table structure for table `password_resets`
--
CREATE TABLE `password_resets` (
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `pesanans`
--
CREATE TABLE `pesanans` (
`id` bigint(20) UNSIGNED NOT NULL,
`user_id` int(11) NOT NULL,
`tanggal` date NOT NULL,
`status` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`kode` int(11) NOT NULL,
`jumlah_harga` int(11) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `pesanans`
--
INSERT INTO `pesanans` (`id`, `user_id`, `tanggal`, `status`, `kode`, `jumlah_harga`, `created_at`, `updated_at`) VALUES
(1, 1, '2020-11-05', '1', 382, 300000, '2020-11-05 01:00:16', '2020-11-05 01:01:20'),
(2, 1, '2020-11-05', '1', 998, 500000, '2020-11-05 01:11:22', '2020-11-05 01:11:39'),
(3, 1, '2020-11-05', '1', 521, 300000, '2020-11-05 01:14:08', '2020-11-05 01:14:12'),
(4, 1, '2020-11-05', '1', 439, 300000, '2020-11-05 01:16:00', '2020-11-05 01:18:22'),
(5, 1, '2020-11-05', '1', 774, 400000, '2020-11-05 01:30:44', '2020-11-05 01:31:00'),
(6, 1, '2020-11-05', '1', 617, 300000, '2020-11-05 02:09:58', '2020-11-05 02:10:05'),
(7, 1, '2020-11-05', '1', 224, 1000000, '2020-11-05 06:37:34', '2020-11-05 06:37:42'),
(8, 1, '2020-11-05', '1', 326, 500000, '2020-11-05 06:58:04', '2020-11-05 06:58:10'),
(9, 1, '2020-11-05', '1', 273, 500000, '2020-11-05 07:00:01', '2020-11-05 07:00:08'),
(10, 1, '2020-11-05', '1', 561, 500000, '2020-11-05 07:02:09', '2020-11-05 07:02:13'),
(11, 1, '2020-11-05', '1', 624, 400000, '2020-11-05 07:11:09', '2020-11-05 07:11:14'),
(12, 1, '2020-11-05', '1', 773, 500000, '2020-11-05 07:35:03', '2020-11-05 07:35:10'),
(13, 1, '2020-11-06', '1', 743, 400000, '2020-11-06 08:39:21', '2020-11-06 08:39:25'),
(14, 1, '2020-11-06', '1', 965, 100000, '2020-11-06 09:08:34', '2020-11-06 09:08:39'),
(15, 1, '2020-11-07', '1', 800, 300000, '2020-11-07 01:24:41', '2020-11-07 01:24:45'),
(16, 1, '2020-11-07', '1', 427, 100000, '2020-11-07 09:12:38', '2020-11-07 09:12:52'),
(17, 1, '2020-11-07', '1', 125, 400000, '2020-11-07 10:02:21', '2020-11-07 10:02:28'),
(18, 1, '2020-11-07', '1', 213, 1000000, '2020-11-07 10:13:47', '2020-11-07 10:13:58');
-- --------------------------------------------------------
--
-- Table structure for table `pesanan_details`
--
CREATE TABLE `pesanan_details` (
`id` bigint(20) UNSIGNED NOT NULL,
`barang_id` int(11) NOT NULL,
`pesanan_id` int(11) NOT NULL,
`jumlah` int(11) NOT NULL,
`jumlah_harga` int(11) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `pesanan_details`
--
INSERT INTO `pesanan_details` (`id`, `barang_id`, `pesanan_id`, `jumlah`, `jumlah_harga`, `created_at`, `updated_at`) VALUES
(1, 3, 1, 1, 300000, '2020-11-05 01:00:16', '2020-11-05 01:00:16'),
(2, 1, 2, 1, 500000, '2020-11-05 01:11:22', '2020-11-05 01:11:22'),
(3, 3, 3, 1, 300000, '2020-11-05 01:14:08', '2020-11-05 01:14:08'),
(4, 3, 4, 1, 300000, '2020-11-05 01:16:00', '2020-11-05 01:16:00'),
(5, 2, 5, 1, 400000, '2020-11-05 01:30:44', '2020-11-05 01:30:44'),
(6, 3, 6, 1, 300000, '2020-11-05 02:09:58', '2020-11-05 02:09:58'),
(7, 1, 7, 2, 1000000, '2020-11-05 06:37:34', '2020-11-05 06:37:34'),
(8, 1, 8, 1, 500000, '2020-11-05 06:58:04', '2020-11-05 06:58:04'),
(9, 1, 9, 1, 500000, '2020-11-05 07:00:01', '2020-11-05 07:00:01'),
(10, 1, 10, 1, 500000, '2020-11-05 07:02:09', '2020-11-05 07:02:09'),
(11, 2, 11, 1, 400000, '2020-11-05 07:11:09', '2020-11-05 07:11:09'),
(12, 1, 12, 1, 500000, '2020-11-05 07:35:03', '2020-11-05 07:35:03'),
(13, 1, 13, 1, 400000, '2020-11-06 08:39:21', '2020-11-06 08:39:21'),
(14, 4, 14, 1, 100000, '2020-11-06 09:08:34', '2020-11-06 09:08:34'),
(15, 7, 15, 1, 300000, '2020-11-07 01:24:41', '2020-11-07 01:24:41'),
(16, 8, 16, 1, 100000, '2020-11-07 09:12:38', '2020-11-07 09:12:38'),
(17, 9, 17, 1, 400000, '2020-11-07 10:02:21', '2020-11-07 10:02:21'),
(18, 2, 18, 2, 1000000, '2020-11-07 10:13:47', '2020-11-07 10:13:47');
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`alamat` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`nohp` varchar(255) 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;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `name`, `email`, `email_verified_at`, `password`, `alamat`, `nohp`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'Encep Nurdin', 'encepnurdin185@gmail.com', NULL, '$2y$10$EZC/gYkWr5uA5HO/SSFtOuTpsdynOdXbkBq30TOrKWhaH85k2bihG', 'Bandar Harapan Terbanggi Besar Lampung tengah', '085789400334', NULL, '2020-11-05 00:40:19', '2020-11-05 01:01:10'),
(2, 'Ari Susanti', 'shantijafra@gmail.com', NULL, '$2y$10$9Ufpi9O1/4Fj1FQUgF7jcOvGKJ4N9LZV38X8uoSEKwzYmSAYYSgz2', NULL, NULL, NULL, '2020-11-06 10:37:53', '2020-11-06 10:37:53'),
(3, 'Encep Nurdin n', 'encepnurdin053@gmail.com', NULL, '$2y$10$EdI1BkbcIuzzhfwO.gLdReNsjTPlyesCJ3x/bt2P.Y42dun7B4n8O', NULL, NULL, NULL, '2020-11-07 10:01:07', '2020-11-07 10:01:07');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `barangs`
--
ALTER TABLE `barangs`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Indexes for table `pesanans`
--
ALTER TABLE `pesanans`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `pesanan_details`
--
ALTER TABLE `pesanan_details`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_email_unique` (`email`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `barangs`
--
ALTER TABLE `barangs`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `pesanans`
--
ALTER TABLE `pesanans`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=19;
--
-- AUTO_INCREMENT for table `pesanan_details`
--
ALTER TABLE `pesanan_details`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=19;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
Create database faculty;
use faculty;
create user 'admin'@'%' IDENTIFIED BY 'admin123';
create user 'system'@'%' IDENTIFIED BY 'system123';
create user 'john'@'%' IDENTIFIED BY 'passw0rd';
GRANT ALL PRIVILEGES ON faculty. * TO 'admin'@'%';
GRANT ALL PRIVILEGES ON faculty. * TO 'system'@'%';
GRANT ALL PRIVILEGES ON faculty. * TO 'john'@'%';
grant all on faculty.* to faculty@'%' IDENTIFIED BY 'ifaculty';
CREATE TABLE IF NOT EXISTS `download` (
`id` int(4) NOT NULL AUTO_INCREMENT,
`image_name` varchar(225) NOT NULL,
`location` varchar(225) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=6 ;
--
-- Dumping data for table `download`
--
INSERT INTO `download` (`id`, `image_name`, `location`) VALUES
(1, 'Marine ford', 'images/marine.jpg'),
(2, 'Luffy fourth gear', 'images/Gear_Four_luffy.jpg'),
(3, 'Newgate Vs Teach', 'images/Newgate_Vs_Teach.jpg'),
(4, 'straw-hat crew', 'images/straw_hat_crew.jpg'),
(5, 'Whitebeard luffy ace ', 'images/Whitebeard_luffy_ace.jpg');
create table `faculty`.`users` (
`id` int(11) not NULL AUTO_INCREMENT ,
`username` varchar(30) NOT NULL ,
`password` varchar(128) NOT NULL ,
PRIMARY KEY ( `id` ) ,
UNIQUE KEY `username` ( `username` ) )
ENGINE = MYISAM DEFAULT CHARSET = utf8;
insert into `users`(`username`,`password`) values ('admin','sysadmin');
insert into `users`(`username`,`password`) values ('saffro','tsunami2007');
insert into `users`(`username`,`password`) values ('guildi','qwert12345');
insert into `users`(`username`,`password`) values ('milli_2192','kissmelove');
insert into `users`(`username`,`password`) values ('adamjo','jafrriejones');
insert into `users`(`username`,`password`) values ('sibble','notAhacker');
INSTALL PLUGIN server_audit SONAME 'server_audit.so';
SET PASSWORD FOR 'root'@'%' = PASSWORD('n0tActualD13');
flush privileges;
|
DELIMITER $$
USE `cci_gh_go_dev`$$
DROP PROCEDURE IF EXISTS `SPFieldStaffWQTypeAggregate`$$
CREATE DEFINER=`madhavi`@`%` PROCEDURE `SPFieldStaffWQTypeAggregate`()
BEGIN
DECLARE fs_done INT DEFAULT 0;
DECLARE goId INT;
DECLARE cciId CURSOR FOR
SELECT fieldStaffGoId FROM FieldStaff;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET fs_done = 1;
TRUNCATE TABLE `FieldStaffWorkQueueTypeAggregate`;
ALTER TABLE `FieldStaffWorkQueueTypeAggregate` AUTO_INCREMENT = 1;
OPEN cciId;
get_goId : LOOP
FETCH cciId INTO goId;
IF fs_done = 1 THEN
LEAVE get_goId;
END IF;
BLOCK_DepPgm: BEGIN
DECLARE pgm_done INT DEFAULT 0;
DECLARE pgmId INT;
DECLARE depPgmId CURSOR FOR
SELECT lookupDepartmentProgramId FROM LookupDepartmentPrograms WHERE lookupDepartmentProgramId IN (1,2,3);
DECLARE CONTINUE HANDLER FOR NOT FOUND SET pgm_done = 1;
OPEN depPgmId;
get_pgmId : LOOP
FETCH depPgmId INTO pgmId;
IF pgm_done = 1 THEN
LEAVE get_pgmId;
END IF;
BLOCK_Type: BEGIN
DECLARE t_done INT DEFAULT 0;
DECLARE tId INT;
DECLARE typeId CURSOR FOR
SELECT `fieldStaffWQTypeId` FROM `FieldStaffWorkQueueType`;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET t_done = 1;
OPEN typeId;
get_typeId : LOOP
FETCH typeId INTO tId;
IF t_done = 1 THEN
LEAVE get_typeId;
END IF;
INSERT INTO `FieldStaffWorkQueueTypeAggregate` (`fieldStaffWQTypeId`,`fieldStaffWQTypeName`,`fieldStaffGoId`,`lookupDepartmentProgramId`,`fieldStaffWQTypeAggregate`,`modifiedDate`)
SELECT IFNULL((SELECT `fieldStaffWQTypeId` FROM `FieldStaffWorkQueue` WHERE `fieldStaffWQTypeId`= tId AND `fieldStaffGoId` = goId AND lookupDepartmentProgramId = pgmId GROUP BY `fieldStaffWQTypeId`),tId),
(SELECT `fieldStaffWQTypeName` FROM `FieldStaffWorkQueueType` WHERE `fieldStaffWQTypeId` = tId),
IFNULL((SELECT `fieldStaffGoId` FROM `FieldStaffWorkQueue` WHERE `fieldStaffWQTypeId` = tId AND `fieldStaffGoId` = goId AND lookupDepartmentProgramId = pgmId GROUP BY `fieldStaffGoId`),goId),
IFNULL((SELECT lookupDepartmentProgramId FROM `FieldStaffWorkQueue` WHERE `fieldStaffWQTypeId` = tId AND `fieldStaffGoId` = goId AND lookupDepartmentProgramId = pgmId GROUP BY lookupDepartmentProgramId),pgmId),
(SELECT COUNT(`fieldStaffWQTypeId`) FROM `FieldStaffWorkQueue` WHERE `fieldStaffWQTypeId` = tId AND `fieldStaffGoId` = goId AND lookupDepartmentProgramId = pgmId),
CURRENT_TIMESTAMP;
END LOOP get_typeId;
CLOSE typeId;
END BLOCK_Type;
END LOOP get_pgmId;
CLOSE depPgmId;
END BLOCK_DepPgm;
END LOOP get_goId;
CLOSE cciId;
END$$
DELIMITER ; |
CREATE DATABASE IF NOT EXISTS blog_samples;
USE blog_samples;
--
-- Table structure for table `customers`
--
CREATE TABLE IF NOT EXISTS `tblciudades` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL,
PRIMARY KEY (`id`)
);
--
-- Dumping data for table `tblciudades`
--
INSERT INTO `tblciudades` (`id`, `name`) VALUES
(1 , 'Bogota'),
(2, 'Cali'),
(3, 'Cartagena'); |
create table funcionarios (
id int not null auto_increment primary key,
nome varchar(30) NOT NULL,
nascimento date,
sexo enum ('M','F', 'Outro'),
peso decimal(5,2),
altura decimal(3,2),
dia_cadastro TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
nacionalidade varchar(20) DEFAULT 'Brasil'
);
#mostra id no fim
#COMANDOS DDL (DATA DEFINITION LANGUAGEM, CREATE, DROP, ALTES, RENAME)
#COMANDOS DDL (DATA DEFINITION LAGUAGEM, 1 ,2 ,3 , 4)
describe funcionarios;
alter table funcionarios modify column nome char (255);
alter table funcionarios add column historico char (50) after name;
alter table funcionarios add column historico char (50);
alter table funcionarios drop column historico;
rename table funcionarios to colaboradores;
show tables; |
SELECT A.ProductoID,
A.Descripcion,
B.Unidad
FROM TB_Producto AS A
LEFT JOIN TB_Unidades AS B ON A.UnidadID=B.UnidadID;
|
DROP DATABASE godrive;
DROP DATABASE godrive_test;
|
CREATE TABLE R ( A int, B int ) FROM FILE 'test/r.dat' USING CSV;
CREATE TABLE S ( B int, C int ) FROM FILE 'test/s.dat' USING CSV;
CREATE TABLE T ( C int, D int ) FROM FILE 'test/t.dat' USING CSV;
SELECT R.A, T.D FROM R, S, T WHERE (R.B = S.B) AND (T.C < S.C); |
-- Using input parameters with stored procedures
-- Add an input parameter requires the use of an input variable
-- We add the input parameter BEFORE the AS keyword...
-- We can provide a default value for the input parameter...
-- If a parameter is not provided when GetPhone is called,
-- the default value is called
-- We will modify the WHERE clause to use LIKE and new variable
ALTER PROC GetPhone
@lastname varchar(50)='%' --Note that the default value is optional
AS
select p.LastName + ', ' + p.FirstName Name, pp.PhoneNumber
from person.person p
join
person.PersonPhone pp
on
p.BusinessEntityID=pp.BusinessEntityID
where LastName LIKE @lastname
--Hightlight 'GetPhone' and include the input parameter, then execute
--The result of the code in the stored procedure will be returned
GetPhone 'Jones'
--What about more than one input parameter?
ALTER PROC GetPhone
@lastname varchar(50),
@firstname varchar(50)
AS
select p.LastName + ', ' + p.FirstName Name, pp.PhoneNumber
from person.person p
join
person.PersonPhone pp
on
p.BusinessEntityID=pp.BusinessEntityID
where LastName=@lastname and FirstName=@firstname
GetPhone 'Adams', 'Alex' |
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1:3306
-- Generation Time: Nov 13, 2020 at 03:13 AM
-- Server version: 5.7.31
-- PHP Version: 7.3.21
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `messages`
--
-- --------------------------------------------------------
--
-- Table structure for table `item`
--
DROP TABLE IF EXISTS `item`;
CREATE TABLE IF NOT EXISTS `item` (
`message` text NOT NULL,
`user` varchar(128) NOT NULL,
`created` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`id` int(11) NOT NULL AUTO_INCREMENT,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=114 DEFAULT CHARSET=utf8;
--
-- Dumping data for table `item`
--
INSERT INTO `item` (`message`, `user`, `created`, `id`) VALUES
('d', 'jake', '2020-11-02 21:55:57', 107),
('d', 'jake', '2020-11-02 21:55:56', 106);
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 */;
|
/* イベントテーブルマスタ */
CREATE TABLE IF NOT EXISTS event_tbl (
event_id INTEGER PRIMARY KEY AUTO_INCREMENT,
event_name VARCHAR(30) NOT NULL,
event_day DATE NOT NULL,
event_detail VARCHAR(50)
);
/* 参加者テーブルマスタ */
/* 参加イベントについては、イベントテーブルのIDを参照する */
CREATE TABLE IF NOT EXISTS member_tbl (
member_id INTEGER PRIMARY KEY AUTO_INCREMENT,
member_event_id INTEGER NOT NULL,
member_name VARCHAR(20) NOT NULL,
FOREIGN KEY(member_event_id) REFERENCES event_tbl(event_id)
ON DELETE SET NULL
); |
-----------SQL语句
库之间操作 select
表之间的操作 alter
修改表
alter table studennts add name varchar(20) not null
往表中添加字符---1.数据类型(int bit(0,1) decimal(5,2) varchar, enum())
gender enum('男','女','人妖','保密')
2. not null 3.default 4. primary key auto_increment
-------------------------------------------------------------------------
-----------SQL查询：
1.给表/字段起别名
关键词 as distinct(去重)
给表起名
select s.* from students as s;
给字段起名
select name as "姓名"， age as "年龄" from students;
去重复数据
select distinct gender from students;
--查询指定行数据 limit(num-1, num-1) like 显示2-4行信息
select * from student limit 1,3;
--SQL中查询当前年份
select date_format(now(),'%Y')---显示目前年份
--查询年龄22~26岁的学生信息 但表中没有age这一栏 **重点
select id,(select date_format(now(),'%Y'))-birth as age
,adderss from student
where 2017-birth>=22 and 2017-birth<=26;
2.条件查询 where + 条件
比较运算符: <, >, >=, <=, !=
select * from students where age>=18;
逻辑运算符: and, or, not
select * from students where age>=18 and gender=1;
模糊查询： like, %--替换任意个 , _----替换一个
"a%"---以a开始的数据
"%a%"--含有a字符的数据
"__" 查询有2个字的数据
"__%" 查询至少有2个字的数据
select * from students where name like "a%"; --以a开始的
范围查询: in, not in, between， is null or is not null,
where 主 in 子 查询
--找出班级表中对应的名字
select * from classes where id in (select cls_id from students);
select * from students where age between 18 and 24;
排序: order by 字段, asc 升序，desc 降序
select * from students where (age between 18 and 24) and gender=1 order by age asc;
3.聚合函数 (分组数据可搭配使用)
关键词: count(*), sum, min, max, avg, round(avg(age), 2)--保留小数位两位
select count(*) from students where gender=1;
select min(age) from students;
4.分组
关键词 group by 分组， group_concat(...) 对应...的数据， having
select * from students group by id; ----"only for id"
select gender from students group by gender; ---按性别分组
select count(*),age from students group by age;---按年龄分组并计算数量
select group_concat(age), gender from students group by gender;--性别分组中显示对应年龄数据
分组仅分组数据，在显示其他信息
---按性别分组后，组中人数大于2的人的姓名
select group_concat(name)from students group by gender having count(*)>2;
-----按性别分组后，组中人数大于2的人的姓名 ---显示性别
select group_concat(name),gender from students group by gender having count(*)>2;
----总结: ???
5.分页
关键词: limit--限制查询的数据
limit(页数, count)----某页---显示数据个数
limit((页数-1)*2, 每页数据个数)
select * from students limit 8, 3;
6.连接查询
关键词: --inner join ....on,--内链接查询--左连接查询--右连接查询
select * from studnets inner join classes;
--按要求显示姓名,班级
select s.name, c.name from students as s inner join classes as c on s.cls_id=c.id;
select s.*, c.name from students as s inner join classes as c on s.cls_id=c.id;
select s.*, c.name from students as s inner join classes as c on s.cls_id=c.id order by c.name;
--left join
---查询每位学生对应的班级信息
select * from students left join classes on students.cls_id=classes.id;
select * from students left join classes on students.cls_id=classes.id
having classes.id is null;---等于右连接查询的数据
1.排序 asc desc
2.order by
3.having classes.id is null;
4.-- select ... from xxx as s left join xxx as c on..... where .....
-- select ... from xxx as s left join xxx as c on..... having .....
7.子查询
select * from students where age=(select max(age) from students where gender=2);
--------------------------------------8.补充 重点
1.group.concat(name) ,分组后该项目中的人数
2.任何字段都可以分组
3.什么时候需要多个表？
----当同一个数据表中的数据需要使用多次的时候就inner join多个表(不要怕慢慢拼)
--今日作业中题目查询参加计算机和英语考试的信息
select stu.* from student as stu
inner join score as s1 inner join score as s2 on s1.stu_id = s2.stu_id
and stu.id = s1.stu_id and stu.id = s2.stu_id and s1.c_name = '计算机' and s2.c_name = '英语';
--查询姓名like 王 or 张中， on(like where) + 条件 最后在and 拼接数据
select * from student as s inner join score as c --on-- (name like"张%" or name like "王%") and c.stu_id=s.id;
--SQL中查询当前年份 ---给数据起名字
select date_format(now(),'%Y')---显示目前年份
--查询年龄22~26岁的学生信息 但表中没有age这一栏 **重点
select id,(select date_format(now(),'%Y'))-birth as age
,adderss from student
where 2017-birth>=22 and 2017-birth<=26;
ambiguous 不明确的 模棱两可的
-------------------------------------------------------------------------------------------
SQL----day03
1.种类中价格最高的数据
select cate_name, max(price) from goods group by cate_name;
最高价格:
select * from goods
inner join
(select cate_name, max(price) as max_price from goods group by cate_name) as max_price_good on
goods.cate_name=max_price_good.cate_name and goods.price=max_price_good.price.max_price;
分表
1.创建表 --cate_name=cate_id
create table if not exists goods_cates(
id int unsigned primary key auto_increment,
name varchar(40) not null);
create table if not exists goods_cates(
id int unsigned primary key auto_increment,
name varchar(40) not null);
2.将原表中种类提取出来
select cate_name from goods group by cate_name;
3.将查询的表放入goods_cates表中合成一张表 !!!
insert into goods_cates(name) (select cate_name from goods group by cate_name);
4.连接两张表
select * from goods inner join goods_cates on goods.cate_name=goods_cates.name;
5.更新取出最后的表格--最后修改字段
update (goods inner join goods_cates on goods.cate_name=goods_cates.name) set goods.cate_name=goods_cates.id;
2.1
create table if not exists goods_brands(
id int unsigned primary key auto_increment,
brands varchar(40) not null);
select brand_name from goods group by brand_name;
insert into goods_brands(brands) (select brand_name from goods group by brand_name);
select * from goods inner join goods_brands on goods.brand_name=goods_brands.brands;
update (goods inner join goods_brands on goods.brand_name=goods_brands.brands) set goods.brand_name=goods_brands.id;
----------视图 事物 索引-------------
1.创建视图
create view v_students as
select s.id,s.name,s.age, c.name as cs_name from students as s
inner join students as c on s.id=c.id;
删除视图表 drop view v_xxx
2.事物
针对突然中断的交易，不允许两步骤间数据传输的一致性，
-- 索引最主要解决的问题
-- 当数据非常庞大时,并且这些数据不需要经常修改,为了加快查询速度,我们会使用索引
1.查看索引 show index from 表名
2.创建索引 create index 索引名称 on 表名(字段(长度))
create index title_index on title_test(title(10));
3.删除索引 drop index xxx
set profiling=1;----开启运行时间监测
show profiles;-----查看执行的时间
----------------test
create table student1(
id int unsigned unique primary key auto_increment not null,
name varchar(40),
age int,
high decimal(5,2),
gender enum("男","女","中性"),
is_show bit default 1);
反扒验证码
|
WITH floor_plans_ranked AS
(SELECT
floor_plans.location,
floor_plans.name,
floor_plans.beds,
floor_plans.baths,
floor_plans.sqft,
floor_plans.created_at,
rank() OVER
(PARTITION BY
floor_plans.location,
floor_plans.name,
floor_plans.beds,
floor_plans.baths,
floor_plans.sqft
ORDER BY
floor_plans.created_at) AS daterank
FROM floor_plans),
joined AS
(SELECT
pp.location,
al.unitname,
al.unitnum,
al.floor,
al.rent,
fp.sqft,
fp.beds,
fp.sqft::numeric / al.rent AS sqft_per_dollar,
fp.baths,
al.movein,
pp.created_at AS fetched_at,
CASE
WHEN rank() OVER (PARTITION BY pp.location, al.unitname ORDER BY pp.created_at DESC) = 1 THEN 1
ELSE 0
END AS current
FROM apartment_listings al
LEFT JOIN page_pulls pp ON al.page_pull_id = pp.id
LEFT JOIN floor_plans_ranked fp ON pp.location::text = fp.location::text AND al.unitname::text = fp.name::text
WHERE fp.daterank = 1),
ranked AS
(SELECT
joined.location,
joined.unitname,
joined.unitnum,
joined.floor,
joined.rent,
joined.sqft,
joined.beds,
joined.sqft_per_dollar,
joined.baths,
joined.movein,
joined.fetched_at,
joined.current,
rank() OVER
(PARTITION BY
joined.location,
joined.unitname,
joined.rent,
joined.movein
ORDER BY
joined.fetched_at DESC,
uuid_generate_v4()) AS drank
FROM joined)
SELECT
ranked.location,
ranked.unitname,
ranked.unitnum,
ranked.floor,
ranked.rent,
ranked.sqft,
ranked.beds,
ranked.sqft_per_dollar,
ranked.baths,
ranked.movein,
ranked.fetched_at,
ranked.current,
ranked.drank
FROM ranked
WHERE ranked.drank = 1
ORDER BY ranked.location, ranked.unitname, ranked.unitnum, ranked.rent;
|
/*
11. Visualizar todos los cargos de los vendedores y el número de los vendedores que hay en cada cargo
*/
SELECT cargo, COUNT(id) FROM vendedores GROUP BY cargo; |
SELECT
m.dept_no, m.emp_no, d.dept_name
FROM
dept_manager_dup m
RIGHT JOIN
departments_dup d ON m.dept_no = d.dept_no
ORDER BY dept_no; |
CREATE TABLE mobile_operations
(
id serial NOT NULL,
description text,
url text NOT NULL,
created_at timestamp without time zone NOT NULL DEFAULT now(),
updated_at timestamp without time zone,
CONSTRAINT mobile_operations_pkey PRIMARY KEY (id)
)
WITH (
OIDS=FALSE
);
ALTER TABLE mobile_operations
OWNER TO momo;
INSERT INTO mobile_operations (description, url) VALUES ('Inicio de sesión', 'mobile/auth/signin');
INSERT INTO mobile_operations (description, url) VALUES ('Chequear sesión', 'mobile/auth/check');
INSERT INTO mobile_operations (description, url) VALUES ('Cerrar sesión', 'mobile/auth/signout');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar motivos de no compra', 'mobile/salesman/sync/reasons');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar entidades financieras', 'mobile/salesman/sync/entities');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar productos', 'mobile/salesman/sync/products');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar datos del vendedor', 'mobile/salesman/sync/salesman');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar clientes del vendedor', 'mobile/salesman/sync/clients');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar circuitos del vendedor', 'mobile/salesman/sync/circuits');
INSERT INTO mobile_operations (description, url) VALUES ('Sincronizar stock del vendedor', 'mobile/salesman/sync/stock');
INSERT INTO mobile_operations (description, url) VALUES ('Venta normal', 'mobile/salesman/sale');
INSERT INTO mobile_operations (description, url) VALUES ('Marcar punto como no compra', 'mobile/salesman/nosale');
INSERT INTO mobile_operations (description, url) VALUES ('Depósito', 'mobile/salesman/deposit');
INSERT INTO mobile_operations (description, url) VALUES ('Obtener monto a depositar', 'mobile/salesman/deposit/amount');
INSERT INTO mobile_operations (description, url) VALUES ('Venta billetera', 'mobile/salesman/emoney/sale');
INSERT INTO mobile_operations (description, url) VALUES ('Obtener deuda bancaria del PDV', 'mobile/salesman/credit/amount');
INSERT INTO mobile_operations (description, url) VALUES ('Pagar deudad bancaria del PDV', 'mobile/salesman/credit/payment');
INSERT INTO mobile_operations (description, url) VALUES ('Georeferenciar PDV', 'mobile/salesman/geolocate-pdv'); |
#1.创建表person
CREATE TABLE person (id INT PRIMARY KEY AUTO_INCREMENT ,pname VARCHAR(10),gender CHAR(2),rel VARCHAR(5));
#2.给person表插入数据
INSERT INTO person VALUES (NULL,"周润发","男","三姑父"),(NULL,"蔡依林","女","二姨"),(NULL,"成龙","男","大舅"),(NULL,"特朗普","男","侄子"),(NULL,"默克尔","女","外甥女");
SELECT * FROM person;
#3.创建表trade
CREATE TABLE trade (d INT PRIMARY KEY AUTO_INCREMENT,t_time DATE,t_money DOUBLE,t_type VARCHAR(5),pid INT);
#4.给trade表插入数据
INSERT INTO trade VALUES(NULL,"2018-02-14",1000,"微信",1),(NULL,"2018-02-15",300,"现金",2),(NULL,"2018-02-15",1500,"支付宝",3),(NULL,"2018-02-15",-20,"支付宝",4),(NULL,"2018-02-16",-600,"现金",5);
SELECT * FROM trade;
#新增数据
INSERT INTO person VALUES(NULL,"刘德华","男","四姨父"),(NULL,"普金","男","老丈人");
新增数据
INSERT INTO trade VALUES(NULL,"2018-02-19",150,"微信",6),(NULL,"2018-02-20",80,"现金",7);
#5.统计从2018年春节到现在的收益多少红包
SELECT SUM(t_money) FROM trade WHERE t_time >= "2018-02-15";
#6.查询从2018年春节到现在收红包大于100元的所有女性亲戚的名字和对应的红包金额
SELECT p.pname,t.t_money FROM trade t JOIN person p ON t.pid = p.id WHERE p.gender = "女" AND t.t_money > 100 AND t.t_time >= 2018-02-15;
#7.查询统计现金,支付宝,微信三个平台分别收到的红包金额
SELECT t_type,SUM(t_money) FROM trade WHERE t_ money > 0 GROUP BY t;
#权限管理
#三张主表 用户表 角色表 权限表
#两个关系 用户角色关系表 角色权限关系表
#创建用户表
CREATE TABLE USER(id INT PRIMARY KEY AUTO_INCREMENT,ename VARCHAR(10),age INT);
#插入用户数据
INSERT INTO USER VALUES(NULL,"测试1",20),(NULL,"测试2",21),(NULL,"测试3",22),(NULL,"测试3",23);
#创建角色表
CREATE TABLE role(id INT PRIMARY KEY AUTO_INCREMENT,rname VARCHAR(10),create_time TIMESTAMP);
#插入角色数据
INSERT INTO role VALUES(NULL,"管理员",NOW()),(NULL,"店小二",NOW()),(NULL,"用户",NOW());
#创建用户角色
CREATE TABLE user_role(id INT PRIMARY KEY AUTO_INCREMENT,user_id INT,role_id INT);
#插入用户角色数据
INSERT INTO user_role VALUES(NULL,1,3),(NULL,2,1),(NULL,3,3),(NULL,4,2);
SELECT u.*,r.*,e.* FROM USER u JOIN user_role r ON u.id = r.user_id JOIN role e ON e.id = role.id;
#查询出用户以及它所对应的角色
SELECT |
-- phpMyAdmin SQL Dump
-- version 5.0.4
-- https://www.phpmyadmin.net/
--
-- Servidor: 127.0.0.1
-- Tiempo de generación: 21-02-2021 a las 23:40:27
-- Versión del servidor: 10.4.17-MariaDB
-- Versión de PHP: 8.0.2
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
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/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Base de datos: `clientes`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cliente`
--
CREATE TABLE `cliente` (
`idcliente` int(11) NOT NULL,
`nombres` varchar(50) NOT NULL,
`apellidos` varchar(50) NOT NULL,
`genero` varchar(10) NOT NULL,
`edad` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Volcado de datos para la tabla `cliente`
--
INSERT INTO `cliente` (`idcliente`, `nombres`, `apellidos`, `genero`, `edad`) VALUES
(1, 'julia patricia', 'perez maldonado', 'femenino', 18),
(2, 'martha maria', 'ahumada torres', 'femenino', 20),
(3, 'carlos david', 'peña barrios', 'masculino', 21),
(4, 'veronica juliana', 'martinez escorcia', 'femenino', 23),
(5, 'ronald stive', 'ramires dominguez', 'masculino', 19),
(6, 'alfonso aldair', 'rodriguez chacon', 'masculino', 25),
(7, 'jennifer lorena', 'vergara santos', 'femenino', 24),
(8, 'loraine esther', 'olivera santana', 'femenino', 21),
(9, 'isaias david', 'hoyos hernandez', 'masculino', 18),
(10, 'juan carlos', 'barrios mesa', 'masculino', 19);
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `cliente`
--
ALTER TABLE `cliente`
ADD PRIMARY KEY (`idcliente`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `cliente`
--
ALTER TABLE `cliente`
MODIFY `idcliente` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
COMMIT;
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-- MySQL dump 10.13 Distrib 8.0.15, for Win64 (x86_64)
--
-- Host: localhost Database: kalorik
-- ------------------------------------------------------
-- Server version 8.0.15
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
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SET NAMES utf8 ;
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--
-- Table structure for table `estadisticas_usuario`
--
DROP TABLE IF EXISTS `estadisticas_usuario`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
SET character_set_client = utf8mb4 ;
CREATE TABLE `estadisticas_usuario` (
`id_usuario` int(11) DEFAULT NULL,
`id_maquina` int(11) DEFAULT NULL,
`tiempo` int(11) DEFAULT NULL,
`calorias` int(11) DEFAULT NULL,
`fecha` date DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
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--
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INSERT INTO `estadisticas_usuario` VALUES (1,47,14,547,'2019-07-18'),(3,12,11,591,'2019-11-17'),(1,19,50,116,'2019-01-28'),(1,14,13,397,'2019-07-05'),(2,46,47,937,'2019-02-06'),(1,28,5,505,'2019-02-15'),(2,20,19,705,'2019-05-10'),(2,48,14,71,'2019-08-13'),(3,30,5,828,'2019-02-24'),(3,44,59,248,'2019-04-13'),(3,39,27,732,'2019-08-21'),(2,47,29,47,'2019-08-22'),(2,23,0,515,'2019-11-11'),(3,26,2,857,'2019-03-20'),(1,30,13,603,'2019-02-01'),(2,25,40,219,'2019-01-07'),(3,29,37,494,'2019-06-13'),(1,39,38,339,'2019-03-05'),(3,44,51,262,'2019-04-08');
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-- Dump completed on 2019-06-01 13:21:58
|
drop table Person;
drop table Relative;
drop table Patient;
drop table HealthProfessionals;
drop table PatientsRelatives;
drop table HealthProfessionals;
drop table Department;
drop table WorksIn;
drop table Reminders;
drop table Messages;
drop table Notes;
drop table Results;
drop table Questionnaire;
drop table QuestionnaireReply;
drop table Test_Results;
/*Person and ther relation */
/*----------------------------------------------------------------------------------------------------*/
create table Person(
cpr varchar(10),
name varchar(100),
History varchar(100),
Phone_number varchar(8),
Address varchar(400),
primary key(cpr)
);
insert into Person values('2503902323','Emil Henriksen','Hjerteproblemer','34343434','Danmark');
insert into Person values('2503902324','Emma Henriksen','Hjerteproblemer','24242424','Danmark');
insert into Person values('1311951114','Amalje Lærke','noget er galt','11442233','Torstensgade 487');
insert into Person values('2506883113','Anders Kalseen','notat','46534238','Torstensgade 48');
insert into Person values('3101502232','Ludvig Jortsen','galt','11442233','Torstensgade 47');
CREATE TABLE Relative (
person_cpr VARCHAR(10) not null REFERENCES Person(cpr),
PRIMARY KEY(person_cpr)
);
insert into Relative values('2503902324');
CREATE TABLE Patient (
person_cpr VARCHAR(10) not null REFERENCES Person(cpr),
PRIMARY KEY(person_cpr)
);
insert into Patient values('2503902323');
CREATE TABLE HealthProfessionals (
person_cpr VARCHAR(10) not null REFERENCES Person(cpr),
Role varchar(100),
PRIMARY KEY(person_cpr)
);
insert into HealthProfessionals values('1311951114','læge');
insert into HealthProfessionals values('2506883113','hudlæge');
insert into HealthProfessionals values('3101502232','mavetarmkiror');
create table PatientsRelatives(
Patients_cpr varchar(10) not null REFERENCES Person(cpr),
Relatives_cpr varchar(10) not null REFERENCES Person(cpr),
primary key(Patients_cpr, Relatives_cpr)
);
insert into PatientsRelatives values('2503902323','2503902324');
create table PatientsHealthProfessionals(
Patients_cpr varchar(10) not null REFERENCES Person(cpr),
HealthProfessionals_cpr varchar(10) not null REFERENCES Person(cpr),
primary key(Patients_cpr, HealthProfessionals_cpr)
);
insert into PatientsHealthProfessionals values('2503902323','1311951114');
insert into PatientsHealthProfessionals values('2503902323','2506883113');
/*Department Health Professionals Works In */
/*----------------------------------------------------------------------------------------------------*/
create table Department(
Address varchar(100),
Specialty varchar(10),
primary key(Address)
);
insert into Department values('lægevej 6','hud');
insert into Department values('sygevej 32','Huspital');
insert into Department values('FindVej 02','øjne');
create table WorksIn(
Department_Address varchar(100) not null REFERENCES Department(Address),
HealthProfessionals_cpr varchar(10) not null REFERENCES Person(cpr),
primary key(Department_Address,HealthProfessionals_cpr)
);
insert into WorksIn values('lægevej 6','2506883113');
insert into WorksIn values('sygevej 32','1311951114');
insert into WorksIn values('sygevej 32','3101502232');
/*Health Professionals Provides*/
/*----------------------------------------------------------------------------------------------------*/
create table Reminders(
som_Text varchar(500),
som_time varchar(14),
Address varchar(100),
Regarding varchar(50),
Patients_cpr varchar(10),
HealthProfessionals_cpr varchar(10),
primary key(som_time,Patients_cp)
);
insert into Reminders values('Husk at vaske føderne','02/05/20:12.30','lægevej 6','fodvorter','2503902323','2506883113');
insert into Reminders values('Husk at have spist','02/05/20:13.30','sygevej 32','blodprøver','2503902323','1311951114');
create table Messages(
Patients_cpr varchar(10),
som_Text varchar(500),
som_time varchar(14),
Regarding varchar(50),
id int,
HealthProfessionals_cpr varchar(10),
primary key(id)
);
insert into Messages values('2503902323','der er problemer med prøven den skal tages igen','02/03/20:13.30','blodprøversvar',1,'1311951114');
create table Notes(
Patients_cpr varchar(10),
som_Text varchar(500),
id int,
HealthProfessionals_cpr varchar(10),
primary key(id)
);
insert into Notes values('2503902323','pertienter er bjeg, det virker som jern mangel',2,'1311951114');
create table Results(
Patients_cpr varchar(10),
HealthProfessionals_cpr varchar(10),
some_Date date,
id int,
note varchar(500),
primary key(id)
);
insert into Results values('2503902323','1311951114','25/01/2020',3,'');
insert into Results values('2503902323','1311951114','23/01/2020',6,'');
insert into Results values('2503902323','1311951114','25/01/2020',5,'Gå til egen læge');
insert into Results values('2503902324','1311951114','25/01/2020',10,'Gå til egen læge');
/*Test result number
/*----------------------------------------------------------------------------------------------------*/
create table Test_Results(
IDX int,
id int,
num int,
description varchar(50),
type varchar(50),
primary key(IDX)
);
insert into Test_Results values(1,3,500,'mmol','Blod');
insert into Test_Results values(2,6,240,'gram','Vitamin A');
insert into Test_Results values(3,5,420,'mmol','Vitamin A');
insert into Test_Results values(4,6,420,'gram','Blod');
/*Questionnaire and the replay*/
/*----------------------------------------------------------------------------------------------------*/
create table Questionnaire(
Questions varchar(500),
idx int,
primary key(idx)
);
insert into Questionnaire values('ondt i rykken,opkast,mangel på abetit',1);
insert into Questionnaire values('Smærter i hovet, dorlig onde, utilstrakelig',2);
insert into Questionnaire values('trat,sur,glad',3);
create table QuestionnaireReply(
Answer varchar(500),
idx int,
cpr varchar(10),
primary key(idx,cpr)
);
insert into QuestionnaireReply values('5,ja,enig',2,'2503902323');
insert into QuestionnaireReply values('3,4,2',3,'2503902323');
|
CREATE EXTENSION IF NOT EXISTS pgcrypto;
-- Table: public.moths
-- drop if it exists
DROP TABLE IF EXISTS public.moths;
CREATE TABLE public.moths
(
id uuid NOT NULL DEFAULT gen_random_uuid(),
species text,
wingspan double precision,
weight double precision,
last_spotted json,
PRIMARY KEY (id)
)
WITH (
OIDS = FALSE
);
ALTER TABLE moths
OWNER to "postgres";
|
CREATE TABLE CUSTOMER (
id bigserial NOT NULL,
first_name varchar(50) NOT NULL,
last_name varchar(50) NOT NULL,
PRIMARY KEY (id)
); |
select
avg(b.count_of_alerts)::int as alert_count,
avg(person_not_found_count)::int as person_not_found_count,
avg(b.count_of_person_found)::int as person_found_count
from (
select
--date_trunc('month', a.datetime_opened),
COUNT(distinct a.alert) as count_of_alerts,
SUM(CASE WHEN a.outcome_internal in ('person not found - site could not be located', 'person not found - site not accessible', 'person not found - person looked for', 'person not looked for - street activity/begging location') THEN 1 ELSE 0 END) as person_not_found_count,
SUM(CASE WHEN a.outcome_internal in ('person found - engaging with services', 'person found - no entitlement to local services', 'person found - reconnected to services in another area', 'person found - street activity/begging', 'person found - referred to emergency services', 'person found - taken to shelter', 'person found - unwilling to engage', 'person not found - person no longer rough sleeping', 'person not looked for - person already known') and a.date_closed < a.datetime_opened + interval '1w' THEN 1 ELSE 0 END) as count_of_person_found
from semantic.alerts_with_features a
WHERE a.datetime_opened::date >= '2017-12-21'
AND a.datetime_opened::date <= '2018-01-21'
--AND a.region = 'london'
--GROUP BY date_trunc('month', a.datetime_opened)
) b;
--select * from semantic.alerts_with_features_no_outliers limit 10
--select * alert from semantic.alerts
-- select distinct a.alert, a.score, b.datetime_opened, b.date_closed, b.outcome_internal, a.label, case when a.label = 1 then 1 else 0 end from results.predictions a
-- inner join semantic.alerts_with_features b on a.alert = b.alert
-- where model in (
-- select model from results.experiments
-- where experiment = 2 and fold = 2 and param_config = 14 order by model desc limit 1
-- ) and label = 1 order by score desc
|
SELECT id_institucion, COUNT(*)
FROM unc_esq_voluntario.voluntario
GROUP BY id_institucion; |
SELECT A.Tipo,
A.CategoriaNombre,
A.Fecha,
A.FechaVencimiento,
A.ComprobanteNombre,
A.Documento,
A.RazonSocial,
iif(A.MonedaID="01",A.Total,null) as Soles,
iif(A.MonedaID="02",A.Total,null) as Dolares,
A.SituacionVenta,
A.Pendiente
FROM VF_Compras A |
-- --------------------------------------------------------
-- Host: 127.0.0.1
-- Server version: 5.5.20-log - MySQL Community Server (GPL)
-- Server OS: Win64
-- HeidiSQL version: 7.0.0.4053
-- Date/time: 2013-04-14 15:39:02
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!40014 SET FOREIGN_KEY_CHECKS=0 */;
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`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(10) DEFAULT NULL,
`activity` varchar(150) DEFAULT NULL,
`check` text,
PRIMARY KEY (`id`)
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CREATE TABLE IF NOT EXISTS `uc_configuration` (
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`name` varchar(150) NOT NULL,
`value` varchar(150) NOT NULL,
PRIMARY KEY (`id`)
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(4, 'activation', 'false'),
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`state_id` int(10) unsigned DEFAULT NULL,
PRIMARY KEY (`id`)
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DROP TABLE IF EXISTS `uc_pages`;
CREATE TABLE IF NOT EXISTS `uc_pages` (
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`private` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
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PRIMARY KEY (`id`)
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`id` int(11) NOT NULL AUTO_INCREMENT,
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`display_name` varchar(50) NOT NULL,
`password` varchar(225) NOT NULL,
`email` varchar(150) NOT NULL,
`activation_token` varchar(225) NOT NULL,
`last_activation_request` int(11) NOT NULL,
`lost_password_request` tinyint(1) NOT NULL,
`active` tinyint(1) NOT NULL,
`title` varchar(150) NOT NULL,
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`sign_up_stamp` int(11) NOT NULL,
`last_sign_in_stamp` int(11) NOT NULL,
PRIMARY KEY (`id`)
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(19, 'mentor100', 'Mentor100', 'e83c398b2121d99f7ead9f01dab9b4e4d5f91a8968d7d0521ae91e58d3734b41b', 'mentor100@gmail.com', '710b4ab61417bd2494b9049f5317293d', 1365907619, 0, 1, 'New Member', 0, 1365907619, 1365907672),
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(9, 12, 'wer', NULL, '2013-04-11 17:54:27', NULL, NULL, NULL, 4),
(10, 19, 'Mentor100', '52526', '2013-04-14 10:49:24', NULL, NULL, NULL, 13),
(11, 20, 'Mentor110', '435435', '2013-04-14 10:49:25', NULL, NULL, NULL, 9),
(12, 16, 'Fggrt', '', '2013-04-02 00:00:00', '', '', '', 16),
(13, 18, 'sdfregrtg', NULL, NULL, NULL, NULL, NULL, NULL),
(14, 21, 'Abu Bakar', '3465768', '1990-04-10 00:00:00', '56765867', 'dfzbfgbf', 'gfntd', 10);
/*!40000 ALTER TABLE `uc_user_biodata` ENABLE KEYS */;
-- Dumping structure for table fyp2013.uc_user_data
DROP TABLE IF EXISTS `uc_user_data`;
CREATE TABLE IF NOT EXISTS `uc_user_data` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(10) DEFAULT NULL,
`type` varchar(100) DEFAULT NULL,
`content` text,
PRIMARY KEY (`id`),
KEY `user_id` (`user_id`),
KEY `type` (`type`)
) ENGINE=InnoDB AUTO_INCREMENT=21 DEFAULT CHARSET=utf8;
-- Dumping data for table fyp2013.uc_user_data: ~16 rows (approximately)
/*!40000 ALTER TABLE `uc_user_data` DISABLE KEYS */;
INSERT INTO `uc_user_data` (`id`, `user_id`, `type`, `content`) VALUES
(1, 1, 'user_profile', '{"biodata":"Fahmi Bin Fuad","education":"fdvrfg","expertise":"trgtr","development":"erger","membership":"esok lusa"}'),
(2, 1, 'user_biodata', '{"fullname":"Fahmi Fuad","ic_no":"","dob":"","email":"","no_phone":"","address":"","city":"","state":""}'),
(3, 1, 'user_education', '{"primary":{"sksd":"1997","ibn abbas":"2000"},"secondary":{"matri":"2003","ibn khaldun":"2006"},"high":{"mmu":{"year":"2008","course":"software"},"usm":{"year":"2014","course":"master"}}}'),
(4, 1, 'user_skills', '{"hard":["1","2","3"],"soft":["a","b","c"]}'),
(5, 9, 'user_biodata', '{"fullname":"","ic_no":"","dob":"","email":"xcvxcvxc","no_phone":"","address":"","city":"","state":"Johor"}'),
(6, 13, 'user_biodata', '{"fullname":"Radhi Rahman","ic_no":"38965","dob":"03\\/17\\/1993","email":"radhi@khalid.org","no_phone":"983465","address":"jalan ampang","city":"ipoh","state":"Perak"}'),
(7, 13, 'user_education', '{"primary":{"gfe":"546"},"secondary":{"fhjyj":"5675"},"high":{"thr":{"year":"6867","course":"tjyujry"}}}'),
(8, 13, 'user_skills', '{"hard":["trh","ujy"],"soft":["he","lioyhn"]}'),
(10, 13, 'user_reading', '["budaya membaca","terlihat di sana","bagus sangat2","dvdf","day after tomorrow"]'),
(11, 14, 'user_reading', '["membaca","terbaiklah","hurm"]'),
(12, 14, 'user_event', '["say you","seriously?"]'),
(13, 13, 'user_event', '["skema 2012"]'),
(14, 11, 'user_reading', '["Leadership by John C. Maxwell","Leadership"]'),
(15, 17, 'user_skills', '{"Hard":{"22":"Videography"},"Soft":{"24":"Facilitating groups"}}'),
(16, 9, 'user_skills', '{"Hard":{"25":"Graphic Design","26":"Videography"},"Soft":[]}'),
(17, 9, 'user_event', '["Leadership Camp"]'),
(18, 21, 'user_biodata', '{"fullname":"Abu Bakar","ic_no":"3465768","dob":"04\\/13\\/1993","email":"abu@gmail.com","no_phone":"23546657","address":"sdfgrdgrtg","city":"Tronoh","state":"Perak"}'),
(19, 8, 'user_reading', '["Maza Ya\'ni","Milestones"]'),
(20, 8, 'user_event', '["Baitul Muslim","Baitul Muslim 2"]');
/*!40000 ALTER TABLE `uc_user_data` ENABLE KEYS */;
-- Dumping structure for table fyp2013.uc_user_education
DROP TABLE IF EXISTS `uc_user_education`;
CREATE TABLE IF NOT EXISTS `uc_user_education` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`type` enum('Primary','Secondary','Higher') DEFAULT NULL,
`edu_place` varchar(255) DEFAULT NULL,
`year` int(10) DEFAULT NULL,
`course` varchar(255) DEFAULT '0',
`user_id` int(10) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=latin1;
-- Dumping data for table fyp2013.uc_user_education: ~14 rows (approximately)
/*!40000 ALTER TABLE `uc_user_education` DISABLE KEYS */;
INSERT INTO `uc_user_education` (`id`, `type`, `edu_place`, `year`, `course`, `user_id`) VALUES
(1, 'Primary', 'SKJ', 2001, '', 9),
(2, 'Secondary', 'SMKJ', 2007, '', 9),
(3, 'Higher', '12', 2012, 'ICT', 9),
(4, 'Primary', 'SKSB', 2001, '', 17),
(5, 'Secondary', 'SMKSB', 2007, '', 17),
(6, 'Higher', '17', 2012, 'EE', 17),
(7, 'Primary', 'SKT', 2002, '0', 11),
(8, 'Secondary', 'SMKT', 2008, '0', 11),
(9, 'Higher', '16', 2013, 'Medic', 11),
(10, 'Higher', '6', 2011, '0', 7),
(11, 'Higher', '2', 2010, '0', 8),
(12, 'Higher', '7', 2012, '0', 8),
(13, 'Primary', 'SK2', 2003, '', 9),
(14, 'Secondary', 'SMKJ2', 2010, '', 9);
/*!40000 ALTER TABLE `uc_user_education` ENABLE KEYS */;
-- Dumping structure for table fyp2013.uc_user_permission_matches
DROP TABLE IF EXISTS `uc_user_permission_matches`;
CREATE TABLE IF NOT EXISTS `uc_user_permission_matches` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) NOT NULL,
`permission_id` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=26 DEFAULT CHARSET=utf8;
-- Dumping data for table fyp2013.uc_user_permission_matches: ~17 rows (approximately)
/*!40000 ALTER TABLE `uc_user_permission_matches` DISABLE KEYS */;
INSERT INTO `uc_user_permission_matches` (`id`, `user_id`, `permission_id`) VALUES
(1, 1, 2),
(5, 2, 3),
(8, 6, 3),
(9, 7, 1),
(10, 8, 1),
(13, 9, 1),
(14, 10, 3),
(15, 11, 1),
(16, 12, 3),
(17, 13, 1),
(18, 14, 1),
(19, 15, 2),
(20, 16, 3),
(21, 17, 1),
(22, 18, 3),
(23, 19, 3),
(24, 20, 3),
(25, 21, 3);
/*!40000 ALTER TABLE `uc_user_permission_matches` ENABLE KEYS */;
-- Dumping structure for table fyp2013.uc_user_skills
DROP TABLE IF EXISTS `uc_user_skills`;
CREATE TABLE IF NOT EXISTS `uc_user_skills` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(10) DEFAULT NULL,
`type` enum('Hard','Soft') DEFAULT NULL,
`skill_name` varchar(100) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=28 DEFAULT CHARSET=latin1;
-- Dumping data for table fyp2013.uc_user_skills: ~5 rows (approximately)
/*!40000 ALTER TABLE `uc_user_skills` DISABLE KEYS */;
INSERT INTO `uc_user_skills` (`id`, `user_id`, `type`, `skill_name`) VALUES
(22, 17, 'Hard', 'Videography'),
(24, 17, 'Soft', 'Facilitating groups'),
(25, 9, 'Hard', 'Graphic Design'),
(26, 9, 'Hard', 'Videography'),
(27, 9, 'Hard', 'Video Editing');
/*!40000 ALTER TABLE `uc_user_skills` ENABLE KEYS */;
-- Dumping structure for table fyp2013.uc_zones
DROP TABLE IF EXISTS `uc_zones`;
CREATE TABLE IF NOT EXISTS `uc_zones` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`zone` varchar(100) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=latin1;
-- Dumping data for table fyp2013.uc_zones: ~6 rows (approximately)
/*!40000 ALTER TABLE `uc_zones` DISABLE KEYS */;
INSERT INTO `uc_zones` (`id`, `zone`) VALUES
(1, 'Northern'),
(2, 'Central'),
(3, 'Eastern'),
(4, 'Southern'),
(5, 'Sabah'),
(6, 'Sarawak');
/*!40000 ALTER TABLE `uc_zones` ENABLE KEYS */;
/*!40014 SET FOREIGN_KEY_CHECKS=1 */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
|
SET NAMES UTF-8;
CREATE DATABASE `!hostname` DEFAULT CHARACTER SET utf8 COLLATE utf8_bin;
GRANT ALL PRIVILEGES ON '!hostname'.* TO '!user'@'!db_host' IDENTIFIED BY '!pass'; |
DROP TABLE IF EXISTS fasting_tracker; |
SELECT COUNT(DISTINCT UserID)
FROM ml10m_ratings;
-- 69878
SELECT MAX(UserID)
FROM ml10m_ratings;
-- 71567 !!!
SELECT COUNT(DISTINCT MovieID)
FROM ml10m_ratings;
-- 10677
SELECT MAX(MovieID)
FROM ml10m_ratings;
-- 65133 !!!
SELECT COUNT(*)
FROM ml10m_ratings;
-- 10000054
DROP TABLE ml10m_users;
CREATE TABLE ml10m_users (user_id INTEGER PRIMARY KEY AUTOINCREMENT, user_id_ml INTEGER);
INSERT INTO ml10m_users(user_id_ml) SELECT DISTINCT UserID FROM ml10m_ratings ORDER BY UserID;
DROP TABLE ml10m_movies;
CREATE TABLE ml10m_movies (movie_id INTEGER PRIMARY KEY AUTOINCREMENT, movie_id_ml INTEGER);
INSERT INTO ml10m_movies(movie_id_ml) SELECT DISTINCT MovieID FROM ml10m_ratings ORDER BY MovieID;
CREATE TABLE ml10m_ratings_corrected AS
SELECT
u.user_id AS UserID,
m.movie_id AS MovieID,
r.Rating,
r."Timestamp"
FROM
ml10m_ratings r
LEFT JOIN ml10m_users AS u
ON r.UserID = u.user_id_ml
LEFT JOIN ml10m_movies AS m
ON r.MovieID = m.movie_id_ml
;
SELECT COUNT(DISTINCT UserID)
FROM ml10m_ratings_corrected;
-- 69878
SELECT MAX(UserID)
FROM ml10m_ratings_corrected;
-- 69878 ok
SELECT COUNT(DISTINCT MovieID)
FROM ml10m_ratings_corrected;
-- 10677
SELECT MAX(MovieID)
FROM ml10m_ratings_corrected;
-- 10677 ok
SELECT COUNT(*)
FROM ml10m_ratings_corrected;
-- 10000054
DROP TABLE ml10m_ratings;
DROP TABLE ml10m_users;
DROP TABLE ml10m_movies;
DROP TABLE ml10m_ratings_corrected;
VACUUM;
|
CREATE TABLE difference_requests
(
id INTEGER ,
n INTEGER NOT NULL ,
created INTEGER NOT NULL ,
occurrences INTEGER NOT NULL ,
PRIMARY KEY (id ASC)
);
CREATE INDEX idx_n ON difference_requests(n);
|
INSERT INTO CREDIT_RATE VALUES
('A', 0.75, 'more than ten reservations recently');
INSERT INTO CREDIT_RATE VALUES
('B', 0.50, ' ');
INSERT INTO CREDIT_RATE VALUES
('C', 0.25, ' ');
INSERT INTO CREDIT_RATE VALUES
('D', 0.10, ' ');
INSERT INTO CREDIT_RATE VALUES
('E', 0.05, ' ');
INSERT INTO CREDIT_RATE VALUES
('F', 1.00, ' ');
|
create extension if not exists postgis;
drop schema if exists p cascade;
create schema p;
create table p.gis_debug (
id serial primary key,
geog geography,
geog_point geography(point),
geog_linestr geography(linestring),
geog_poly geography(polygon),
geog_multipoint geography(multipoint),
geog_multilinestr geography(multilinestring),
geog_multipoly geography(multipolygon),
geog_geometrycollection geography(geometrycollection),
geog_pointm geography(pointm),
geog_linestrm geography(linestringm),
geog_polym geography(polygonm),
geog_multipointm geography(multipointm),
geog_multilinestrm geography(multilinestringm),
geog_multipolym geography(multipolygonm),
geog_geometrycollectionm geography(geometrycollectionm),
-- geog_pointz geography(point),
-- geog_linestrz geography(linestring),
-- geog_polyz geography(polygon),
-- geog_multipointz geography(multipoint),
-- geog_multilinestrz geography(multilinestring),
-- geog_multipolyz geography(multipolygon),
-- geog_geometrycollectionz geography(geometrycollection),
-- geog_pointmz geography(pointm),
-- geog_linestrmz geography(linestringm),
-- geog_polymz geography(polygonm),
-- geog_multipointmz geography(multipointm),
-- geog_multilinestrmz geography(multilinestringm),
-- geog_multipolymz geography(multipolygonm),
-- geog_geometrycollectionmz geography(geometrycollectionm),
geom geometry,
geom_point geometry(point),
geom_linestr geometry(linestring),
geom_poly geometry(polygon),
geom_multipoint geometry(multipoint),
geom_multilinestr geometry(multilinestring),
geom_multipoly geometry(multipolygon),
geom_geometrycollection geometry(geometrycollection),
geom_pointm geometry(pointm),
geom_linestrm geometry(linestringm),
geom_polym geometry(polygonm),
geom_multipointm geometry(multipointm),
geom_multilinestrm geometry(multilinestringm),
geom_multipolym geometry(multipolygonm),
geom_geometrycollectionm geometry(geometrycollectionm)
-- geom_pointz geometry(point),
-- geom_linestrz geometry(linestring),
-- geom_polyz geometry(polygon),
-- geom_multipointz geometry(multipoint),
-- geom_multilinestrz geometry(multilinestring),
-- geom_multipolyz geometry(multipolygon),
-- geom_geometrycollectionz geometry(geometrycollection),
-- geom_pointmz geometry(pointm),
-- geom_linestrmz geometry(linestringm),
-- geom_polymz geometry(polygonm),
-- geom_multipointmz geometry(multipointm),
-- geom_multilinestrmz geometry(multilinestringm),
-- geom_multipolymz geometry(multipolygonm),
-- geom_geometrycollectionmz geometry(geometrycollectionm),
); |
-- phpMyAdmin SQL Dump
-- version 4.0.4.1
-- http://www.phpmyadmin.net
--
-- 主机: 127.0.0.1:3307
-- 生成日期: 2016 年 10 月 31 日 07:36
-- 服务器版本: 5.5.32
-- PHP 版本: 5.4.16
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 */;
--
-- 数据库: `yii2advanced`
--
CREATE DATABASE IF NOT EXISTS `yii2advanced` DEFAULT CHARACTER SET latin1 COLLATE latin1_swedish_ci;
USE `yii2advanced`;
-- --------------------------------------------------------
--
-- 表的结构 `admin`
--
CREATE TABLE IF NOT EXISTS `admin` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`auth_key` varchar(32) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`password_hash` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`password_reset_token` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`email` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`status` smallint(6) NOT NULL DEFAULT '10',
`created_at` int(11) NOT NULL,
`updated_at` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `username` (`username`),
UNIQUE KEY `email` (`email`),
UNIQUE KEY `password_reset_token` (`password_reset_token`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=2 ;
--
-- 转存表中的数据 `admin`
--
INSERT INTO `admin` (`id`, `username`, `auth_key`, `password_hash`, `password_reset_token`, `email`, `status`, `created_at`, `updated_at`) VALUES
(1, 'admin', 'LXrvt90YotlQ06dtlqjUC0W_J-HB1qia', '$2y$13$FoeFwg19.l4SSUkUmh5.mel9VZGjN2MYIjLaFkGLfcti2lMTetqlm', NULL, 'test1@test.com', 10, 1474964047, 1474964047);
-- --------------------------------------------------------
--
-- 表的结构 `category`
--
CREATE TABLE IF NOT EXISTS `category` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) NOT NULL,
`level` smallint(6) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=7 ;
--
-- 转存表中的数据 `category`
--
INSERT INTO `category` (`id`, `name`, `level`) VALUES
(3, '洗车', 1),
(4, '修车', 1),
(5, '轮胎', 2),
(6, '保养', 2);
-- --------------------------------------------------------
--
-- 表的结构 `item`
--
CREATE TABLE IF NOT EXISTS `item` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`category_id` int(11) DEFAULT NULL,
`title` varchar(255) CHARACTER SET utf8 NOT NULL,
`content` text CHARACTER SET utf8,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci AUTO_INCREMENT=4 ;
--
-- 转存表中的数据 `item`
--
INSERT INTO `item` (`id`, `category_id`, `title`, `content`) VALUES
(1, 5, 'www', ''),
(3, 5, '米其林轮胎', '米其林轮胎');
-- --------------------------------------------------------
--
-- 表的结构 `migration`
--
CREATE TABLE IF NOT EXISTS `migration` (
`version` varchar(180) NOT NULL,
`apply_time` int(11) DEFAULT NULL,
PRIMARY KEY (`version`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- 转存表中的数据 `migration`
--
INSERT INTO `migration` (`version`, `apply_time`) VALUES
('m000000_000000_base', 1474962837),
('m130524_201442_init', 1474962840),
('m160926_084846_create_shop_table', 1474962840),
('m160926_090347_create_category_table', 1475027177),
('m160926_090435_create_shop_category_table', 1475027177),
('m160927_075459_create_item_table', 1475027177);
-- --------------------------------------------------------
--
-- 表的结构 `shop`
--
CREATE TABLE IF NOT EXISTS `shop` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(255) NOT NULL,
`content` text,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=5 ;
--
-- 转存表中的数据 `shop`
--
INSERT INTO `shop` (`id`, `title`, `content`) VALUES
(2, '金华金峰汽车修洗店', '金华金峰汽车修洗店'),
(3, '金华快修汽车修洗店', '金华快修汽车修洗店'),
(4, '东阳美丽修洗店', '东阳美丽修洗店');
-- --------------------------------------------------------
--
-- 表的结构 `shop_category`
--
CREATE TABLE IF NOT EXISTS `shop_category` (
`shop_id` int(11) NOT NULL DEFAULT '0',
`category_id` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`shop_id`,`category_id`),
KEY `FK_category_shop` (`category_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- 转存表中的数据 `shop_category`
--
INSERT INTO `shop_category` (`shop_id`, `category_id`) VALUES
(2, 3),
(3, 3),
(4, 3),
(2, 4),
(3, 4),
(4, 4);
-- --------------------------------------------------------
--
-- 表的结构 `user`
--
CREATE TABLE IF NOT EXISTS `user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`auth_key` varchar(32) COLLATE utf8_unicode_ci NOT NULL,
`password_hash` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password_reset_token` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`status` smallint(6) NOT NULL DEFAULT '10',
`created_at` int(11) NOT NULL,
`updated_at` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `username` (`username`),
UNIQUE KEY `email` (`email`),
UNIQUE KEY `password_reset_token` (`password_reset_token`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=2 ;
--
-- 转存表中的数据 `user`
--
INSERT INTO `user` (`id`, `username`, `auth_key`, `password_hash`, `password_reset_token`, `email`, `status`, `created_at`, `updated_at`) VALUES
(1, 'test1', 'LXrvt90YotlQ06dtlqjUC0W_J-HB1qia', '$2y$13$FoeFwg19.l4SSUkUmh5.mel9VZGjN2MYIjLaFkGLfcti2lMTetqlm', NULL, 'test1@test.com', 10, 1474964047, 1474964047);
--
-- 限制导出的表
--
--
-- 限制表 `shop_category`
--
ALTER TABLE `shop_category`
ADD CONSTRAINT `FK_category_shop` FOREIGN KEY (`category_id`) REFERENCES `category` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `FK_shop_category` FOREIGN KEY (`shop_id`) REFERENCES `shop` (`id`) ON DELETE 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 */;
|
ALTER TABLE SONGS_ARTISTS
ADD COLUMN SONGS bigint references SONGS (id),
ADD COLUMN ARTISTS bigint references ARTISTS (id);
UPDATE SONGS_ARTISTS set SONGS = SONG;
UPDATE SONGS_ARTISTS set ARTISTS = ARTIST;
ALTER TABLE SONGS_ARTISTS DROP CONSTRAINT songs_artists_pkey;
ALTER TABLE SONGS_ARTISTS ADD CONSTRAINT songs_artists_pkey PRIMARY KEY (songs, artists);
ALTER TABLE SONGS_ARTISTS DROP CONSTRAINT songs_artists_song_fkey;
ALTER TABLE SONGS_ARTISTS DROP CONSTRAINT songs_artists_artist_fkey;
ALTER TABLE SONGS_ARTISTS ALTER COLUMN SONG DROP NOT NULL;
ALTER TABLE SONGS_ARTISTS ALTER COLUMN ARTIST DROP NOT NULL;
ALTER TABLE SONGS_ARTISTS ALTER COLUMN SONGS SET NOT NULL;
ALTER TABLE SONGS_ARTISTS ALTER COLUMN ARTISTS SET NOT NULL; |
DROP TABLE IF EXISTS `profiles`;
CREATE TABLE IF NOT EXISTS `profiles` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`fullName` varchar(255) NOT NULL,
`instaId` varchar(255) NOT NULL,
`twitter` varchar(255) DEFAULT NULL,
`email` varchar(255) DEFAULT NULL,
`createdAt` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updatedAt` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`Id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
INSERT INTO profiles (fullName,instaId)
VALUES
('lisabeyu','lisabeyu'),
('cyruskind','cyruskind'),
('_lindseymallon','_lindseymallon'),
('ardilladeneys','ardilladeneys'); |
-- phpMyAdmin SQL Dump
-- version 4.8.5
-- https://www.phpmyadmin.net/
--
-- Servidor: localhost
-- Tiempo de generación: 09-10-2019 a las 12:29:14
-- Versión del servidor: 5.7.27
-- Versión de PHP: 7.3.10-1+0~20191008.45+debian9~1.gbp365209
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: `square1`
--
-- --------------------------------------------------------
--
-- Volcado de datos para la tabla `categories`
--
INSERT INTO `categories` (`id`, `name`, `created_at`, `updated_at`) VALUES
(1, 'small_appliances', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(2, 'dishwashers', '2019-10-08 13:45:08', '2019-10-08 13:45:08');
-- --------------------------------------------------------
--
-- Volcado de datos para la tabla `images`
--
INSERT INTO `images` (`id`, `name`, `created_at`, `updated_at`) VALUES
(1, 'product_img', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(2, 'warranty_img', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(3, 'brand_img', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(4, 'sales_img', '2019-10-08 13:45:08', '2019-10-08 13:45:08');
-- --------------------------------------------------------
-- Volcado de datos para la tabla `image_product`
--
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-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `migrations`
--
-- Volcado de datos para la tabla `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2014_10_12_100000_create_password_resets_table', 1),
(3, '2019_08_19_000000_create_failed_jobs_table', 1),
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(7, '2019_10_01_203223_create_product_wishlist_table', 1),
(8, '2019_10_06_233015_update_products_table', 1),
(9, '2019_10_07_151054_create_properties_table', 1),
(10, '2019_10_07_152716_create_product_property_table', 1),
(11, '2019_10_07_153051_create_images_table', 1),
(12, '2019_10_07_153111_create_images_product_table', 1),
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-- --------------------------------------------------------
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `products`
--
--
-- Volcado de datos para la tabla `products`
--
INSERT INTO `products` (`id`, `category_id`, `name`, `created_at`, `updated_at`, `price`, `coin`, `rrp`) VALUES
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(21, 1, 'Dyson Pure Cool Tower Air Purifier 310128-01', '2019-10-08 13:42:26', '2019-10-08 13:42:26', '549.95', '€', NULL),
(22, 1, 'Montpellier 900W Black Built-in Combination Microwave MWBIC74B', '2019-10-08 13:42:26', '2019-10-08 13:42:26', '499.95', '€', NULL),
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(24, 1, 'Krups Espresseria Black Automatic Bean To Cup Coffee Machine EA8005 ', '2019-10-08 13:42:27', '2019-10-08 13:42:27', '479.95', '€', NULL),
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(39, 1, 'Dimplex 1000W Stainless Steel Freestanding Commercial Microwave 751078', '2019-10-08 13:42:31', '2019-10-08 13:42:31', '379.95', '€', NULL),
(40, 1, 'Sage Nespresso Creatista Plus Brushed Stainless Steel Coffee Machine BNE800BSS', '2019-10-08 13:42:31', '2019-10-08 13:42:31', '379.95', '€', '449.95'),
(41, 1, 'Dyson Pure Cool Me™ Air Purifier and Fan 275898-01 ', '2019-10-08 13:42:31', '2019-10-08 13:42:31', '349.95', '€', NULL),
(42, 1, 'Culina 900W 44L Built-In Combination Microwave UB45CMS.1**', '2019-10-08 13:42:31', '2019-10-08 13:42:31', '349.95', '€', '499.95'),
(43, 1, 'Braun CareStlye 3 2400w Steam Generator Iron Black IS3046BK', '2019-10-08 13:42:32', '2019-10-08 13:42:32', '314.95', '€', NULL),
(44, 1, 'Mira Sport 9.8kW White Electric Shower 1.1746.003', '2019-10-08 13:42:32', '2019-10-08 13:42:32', '299.95', '€', NULL),
(45, 1, 'Dyson Desk Fan White AM06', '2019-10-08 13:42:33', '2019-10-08 13:42:33', '289.95', '€', '299.95'),
(46, 1, 'Bosch Silver/White CreationLine Kitchen Machine Food Stand Mixer MUM58200GB', '2019-10-08 13:42:33', '2019-10-08 13:42:33', '279.95', '€', NULL),
(47, 1, 'Mira Vigour Thermostatic White Power Shower 1.1532.353', '2019-10-08 13:42:33', '2019-10-08 13:42:33', '279.95', '€', NULL),
(48, 1, 'Sage Silver Smart Grinder Pro Automatic Coffee Grinder BCG820BSSUK', '2019-10-08 13:42:33', '2019-10-08 13:42:33', '249.95', '€', NULL),
(49, 1, 'Aqualisa Thermostatic Mixer Dual Flow Shower AQ150', '2019-10-08 13:42:34', '2019-10-08 13:42:34', '249.95', '€', NULL),
(50, 1, 'Krups Nespresso 1710W Citiz And Milk Coffee Machine XN760B40', '2019-10-08 13:42:34', '2019-10-08 13:42:34', '244.95', '€', NULL),
(51, 1, 'Krups Nespresso by Nespresso 1710W Citiz and Milk Coffee Machine XN760540', '2019-10-08 13:42:34', '2019-10-08 13:42:34', '244.95', '€', NULL),
(52, 1, 'Sage 1300W Silver The Fresh & Furious Blender SBL620', '2019-10-08 13:42:35', '2019-10-08 13:42:35', '239.95', '€', NULL),
(53, 1, 'Lavazza Desea Brown Walnut Coffee Machine 18000289', '2019-10-08 13:42:35', '2019-10-08 13:42:35', '229.95', '€', NULL),
(54, 1, 'HoMedics Gel Shiatsu Back Massager with Heat and Remote GSM800HGB', '2019-10-08 13:42:35', '2019-10-08 13:42:35', '229.95', '€', NULL),
(55, 1, 'Lavazza Desea Cream Coffee Machine 18000288', '2019-10-08 13:42:35', '2019-10-08 13:42:35', '229.95', '€', NULL),
(56, 1, 'Lavazza Desea Black Coffee Machine 18000290', '2019-10-08 13:42:36', '2019-10-08 13:42:36', '229.95', '€', NULL),
(57, 1, 'Segway Ninebot External Battery N2GBAT190', '2019-10-08 13:42:36', '2019-10-08 13:42:36', '219.95', '€', NULL),
(58, 1, '7bar Pro Express Care Anti-Scale High Pressure Steam Generator Iron', '2019-10-08 13:42:36', '2019-10-08 13:42:36', '219.95', '€', NULL),
(59, 1, 'Sage Nutri Juicer Cold Silver Juicer BJE430SIL', '2019-10-08 13:42:36', '2019-10-08 13:42:36', '219.95', '€', NULL),
(60, 1, 'Bosch 900 W Turquoise Kitchen Machine MUM54D00GB', '2019-10-08 13:42:37', '2019-10-08 13:42:37', '219.95', '€', NULL),
(61, 1, 'De\'Longhi Nespresso Lattissima One Brown Coffee Machine EN500.BW**', '2019-10-08 13:42:37', '2019-10-08 13:42:37', '214.95', '€', '249.95'),
(62, 1, 'Sage Dose Control Pro Silver Burr Coffee Grinder BCG600SIL', '2019-10-08 13:42:37', '2019-10-08 13:42:37', '199.95', '€', NULL),
(63, 1, 'Toshiba Portable CDMP3 Wireless Boombox', '2019-10-08 13:42:37', '2019-10-08 13:42:37', '199.95', '€', NULL),
(64, 1, 'Tefal 2200W Blue Steam Generator Iron GV6840G0', '2019-10-08 13:42:37', '2019-10-08 13:42:37', '199.95', '€', '249.95'),
(65, 1, 'Tristar 1000W White Kitchen Mixer with Detachable Stainless Steel Bowl MX4184**', '2019-10-08 13:42:38', '2019-10-08 13:42:38', '199.95', '€', NULL),
(66, 1, 'Roadstar Wooden Tower Hifi System and Bluetooth Speaker ROATSPK-990', '2019-10-08 13:42:38', '2019-10-08 13:42:38', '199.95', '€', NULL),
(67, 1, 'Roadstar 800w Portable PA Sound System ROADJ-880', '2019-10-08 13:42:38', '2019-10-08 13:42:38', '199.95', '€', NULL),
(68, 1, 'De\'Longhi Tasciugo AriaDry 10L Dehumidifier DX10', '2019-10-08 13:42:38', '2019-10-08 13:42:38', '189.95', '€', NULL),
(69, 1, 'Master 1500W Red Food Processor with Glass Jug and Steel Bowl KM811RED', '2019-10-08 13:42:39', '2019-10-08 13:42:39', '189.95', '€', NULL),
(70, 1, 'Roadstar Wooden HiFi System ROAHRA-1782', '2019-10-08 13:42:39', '2019-10-08 13:42:39', '189.95', '€', NULL),
(71, 1, 'Philips 20w Black Mini Stereo BTM2660/12**', '2019-10-08 13:42:39', '2019-10-08 13:42:39', '189.95', '€', NULL),
(72, 1, 'Goodmans Karaoke Machine XB23CDG', '2019-10-08 13:42:39', '2019-10-08 13:42:39', '184.95', '€', NULL),
(73, 1, 'Philips Micro Music System (70 W Output Power, Playback of CD-MP3, USB, FM) Black MCM2350/12', '2019-10-08 13:42:39', '2019-10-08 13:42:39', '179.95', '€', NULL),
(74, 1, 'Pifco 10L White Portable Dehumidifier P44018', '2019-10-08 13:42:40', '2019-10-08 13:42:40', '179.95', '€', NULL),
(75, 1, 'Severin Double Tabletop Induction Hob S71031', '2019-10-08 13:42:40', '2019-10-08 13:42:40', '179.95', '€', '219.95'),
(76, 1, 'Tefal Blue Instant Control Garment Steamer IS8360G0', '2019-10-08 13:42:40', '2019-10-08 13:42:40', '169.95', '€', NULL),
(77, 1, 'Akai Bluetooth Portable Music Case Speaker with 15\" Woofer AKBT900', '2019-10-08 13:42:40', '2019-10-08 13:42:40', '169.95', '€', NULL),
(78, 1, 'Philips 2600W 1.8L Detachable Water Tank Steam Generator Iron GC8715/20', '2019-10-08 13:42:41', '2019-10-08 13:42:41', '169.95', '€', NULL),
(79, 1, 'TCP Smart WiFi Doorbell with Motion Sensor TCPDOOR', '2019-10-08 13:42:41', '2019-10-08 13:42:41', '169.95', '€', NULL),
(80, 1, 'GoXtreme Black Hawk 4K Action Camera 20132', '2019-10-08 13:42:41', '2019-10-08 13:42:41', '169.95', '€', NULL),
(81, 1, 'HoMedics Sonic Hair Remover and Silicone Cleanser Bundle Pack IPL-HH190BND-GB', '2019-10-08 13:42:41', '2019-10-08 13:42:41', '165.95', '€', NULL),
(82, 1, 'Bosch 2400w Steam Generator Iron TDS2140GB', '2019-10-08 13:42:41', '2019-10-08 13:42:41', '164.95', '€', NULL),
(83, 1, 'Tenda 3 Pack Wi-Fi Mesh System TENDA-MW3-3PK', '2019-10-08 13:42:42', '2019-10-08 13:42:42', '159.99', '€', NULL),
(84, 1, 'Severin Brushed Stainless Steel Kettle & Toaster & Coffee Maker Set S79804', '2019-10-08 13:42:42', '2019-10-08 13:42:42', '159.95', '€', NULL),
(85, 1, 'Samsung 900W 28L Combination Microwave Black MC28H5013AK', '2019-10-08 13:42:42', '2019-10-08 13:42:42', '159.95', '€', '199.95'),
(86, 1, 'Lavazza A Modo Mio Jolie & Milk White Coffee Machine 18000230', '2019-10-08 13:42:42', '2019-10-08 13:42:42', '159.95', '€', NULL),
(87, 1, 'Soehnle Airfresh Hygro 500 Humidifier S268093', '2019-10-08 13:42:43', '2019-10-08 13:42:43', '159.95', '€', '189.95'),
(88, 1, 'Lavazza A Modo Mio Jolie & Milk Black Coffee Machine 18000216', '2019-10-08 13:42:43', '2019-10-08 13:42:43', '159.95', '€', NULL),
(89, 1, 'Lavazza A Modo Mio Idola Greige Coffee Machine 18000279', '2019-10-08 13:42:43', '2019-10-08 13:42:43', '159.95', '€', NULL),
(90, 1, 'Warmlite 2000W Log Effect Stove Fire WL46015', '2019-10-08 13:42:43', '2019-10-08 13:42:43', '159.95', '€', NULL),
(91, 1, 'Akai Red Bluetooth Speaker AKBT90 SP', '2019-10-08 13:42:44', '2019-10-08 13:42:44', '159.95', '€', NULL),
(92, 1, 'Lavazza A Modo Mio Idola Black Coffee Machine 18000280', '2019-10-08 13:42:44', '2019-10-08 13:42:44', '159.95', '€', '179.95'),
(93, 1, 'Severin Bean to Cup Coffee Maker Stainless Steel S74810', '2019-10-08 13:42:44', '2019-10-08 13:42:44', '159.95', '€', '199.95'),
(94, 1, 'Qualtex 35L Stainless Steel Water Urn Bolier EXSMIS884', '2019-10-08 13:42:44', '2019-10-08 13:42:44', '159.95', '€', NULL),
(95, 1, 'Lavazza A Modo Mio Idola Red Coffee Machine 18000281', '2019-10-08 13:42:45', '2019-10-08 13:42:45', '159.95', '€', NULL),
(96, 1, 'Brabantia Bo Pedal Bin 11/23L Platinum 121203', '2019-10-08 13:42:45', '2019-10-08 13:42:45', '149.95', '€', NULL),
(97, 1, 'Sage Kinetix Twist Brushed Aluminium Blender With Citrus Cone BBL405BAL', '2019-10-08 13:42:45', '2019-10-08 13:42:45', '149.95', '€', NULL),
(98, 1, 'Itek 5-in-1 Classic Music System I60019', '2019-10-08 13:42:45', '2019-10-08 13:42:45', '149.95', '€', NULL),
(99, 1, 'Montpellier 1200W 21L White Freestanding Combination Microwave MCM21SSC', '2019-10-08 13:42:46', '2019-10-08 13:42:46', '149.95', '€', NULL),
(100, 1, 'Dimplex 2500 Watt Oil Free Column Radiator OFRC25NTIB ', '2019-10-08 13:42:46', '2019-10-08 13:42:46', '149.95', '€', NULL),
(101, 1, 'Beurer White Air Humidifier LB88', '2019-10-08 13:42:46', '2019-10-08 13:42:46', '149.95', '€', NULL),
(102, 1, 'Philips Series 7000 Wet & Dry Electric Shaver S7370/12', '2019-10-08 13:42:46', '2019-10-08 13:42:46', '149.95', '€', '169.95'),
(103, 1, 'Livall Bluetooth Enabled Smart Helmet Graphite Black WBLBH51 MGB', '2019-10-08 13:42:47', '2019-10-08 13:42:47', '149.95', '€', NULL),
(104, 1, 'Culina 800W 20L Stainless Steel Built-In Microwave BM20SS**', '2019-10-08 13:42:47', '2019-10-08 13:42:47', '149.95', '€', NULL),
(105, 1, 'Lavazza A Modo Mio White Minu Caffe Latte LM600**', '2019-10-08 13:42:47', '2019-10-08 13:42:47', '149.95', '€', NULL),
(106, 1, 'Russell Hobbs 800W 23L Silver Freestanding Microwave RHM2362S', '2019-10-08 13:42:47', '2019-10-08 13:42:47', '143.95', '€', NULL),
(107, 1, 'Dimplex 23L 900W White Freestanding Microwave 980537', '2019-10-08 13:42:48', '2019-10-08 13:42:48', '139.95', '€', NULL),
(108, 1, 'GoXtreme Barracuda Underwater Action Camera 20144', '2019-10-08 13:42:48', '2019-10-08 13:42:48', '139.95', '€', NULL),
(109, 1, 'Ovation 6.8L 1400W Black Air Fryer with Rotisserie Function OVAHT206', '2019-10-08 13:42:48', '2019-10-08 13:42:48', '139.95', '€', NULL),
(110, 1, 'BaByliss 2200w 3Q Professional Hair Dryer 5665U', '2019-10-08 13:42:48', '2019-10-08 13:42:48', '139.95', '€', NULL),
(111, 1, 'HoMedics TotalClean Air Purifier AP-25A-GB', '2019-10-08 13:42:49', '2019-10-08 13:42:49', '139.95', '€', '164.95'),
(112, 1, 'Swan 26L 104 Cup Stainless Steel Catering Urn SWU26L', '2019-10-08 13:42:49', '2019-10-08 13:42:49', '139.95', '€', NULL),
(113, 1, 'Sabichi 300W 5 Speed White Electric Food Stand Mixer 166081**', '2019-10-08 13:42:49', '2019-10-08 13:42:49', '129.95', '€', NULL),
(114, 1, 'Sage Soft Top Luxe 1.7L Brushed Stainless Steel Kettle BKE735BSS', '2019-10-08 13:42:49', '2019-10-08 13:42:49', '129.95', '€', NULL),
(115, 1, 'Sage the Soft Top® Silver Luxe Kettle BKE735SHY', '2019-10-08 13:42:50', '2019-10-08 13:42:50', '129.95', '€', NULL),
(116, 1, 'Lavazza A Modo Mio Fantasia Cream Cappuccino Latte Coffee Machine LM7000', '2019-10-08 13:42:50', '2019-10-08 13:42:50', '129.95', '€', '189.95'),
(117, 1, 'Russell Hobbs 800W 20L Heritage Cream Freestanding Microwave RHM2064C', '2019-10-08 13:42:50', '2019-10-08 13:42:50', '129.95', '€', NULL),
(118, 1, 'Sage Soft Top Luxe 1.7L Black Truffle Kettle SKE735BTR', '2019-10-08 13:42:50', '2019-10-08 13:42:50', '129.95', '€', NULL),
(119, 1, 'Philips PerfectCare Ceramic Plate Steam Iron GC5060/02', '2019-10-08 13:42:51', '2019-10-08 13:42:51', '129.95', '€', NULL),
(120, 1, 'Tristar 3.2L Black Crispy Fryer FR6990 ', '2019-10-08 13:42:51', '2019-10-08 13:42:51', '129.95', '€', '139.95'),
(121, 1, 'Master 260W 10L Dehumidifier DEU10', '2019-10-08 13:42:51', '2019-10-08 13:42:51', '129.95', '€', NULL),
(122, 1, 'Panasonic Micro Stereo System With Bluetooth SCPM250EBS', '2019-10-08 13:42:51', '2019-10-08 13:42:51', '129.95', '€', NULL),
(123, 1, 'Sage Toast Select Luxe Brushed Stainless Steel 2 Slice Toaster BTA735BSS', '2019-10-08 13:42:52', '2019-10-08 13:42:52', '129.95', '€', NULL),
(124, 1, 'Sage Toast Select Luxe Smoked Hickory 2 Slice Toaster STA735SHY', '2019-10-08 13:42:52', '2019-10-08 13:42:52', '129.95', '€', NULL),
(125, 1, 'Sage 2 Slice Black Select Luxe Truffle Toaster STA735BTR', '2019-10-08 13:42:52', '2019-10-08 13:42:52', '129.95', '€', NULL),
(126, 1, 'Qualtex 20L Stainless Steel Water Urn Bolier EXSMIS883', '2019-10-08 13:42:53', '2019-10-08 13:42:53', '125.95', '€', NULL),
(127, 1, 'Krups Nespresso Citiz Pod Coffee Machine Silver XN741B40', '2019-10-08 13:42:53', '2019-10-08 13:42:53', '119.95', '€', NULL),
(128, 1, 'Kenwood 800W kMix Blender BLX52', '2019-10-08 13:42:53', '2019-10-08 13:42:53', '119.95', '€', NULL),
(129, 1, 'Ovation 3.2L 1500W Black Air Fryer OVAHT208', '2019-10-08 13:42:53', '2019-10-08 13:42:53', '119.95', '€', NULL),
(130, 1, 'Karcher SP5 Submersible Dirty Water Pump 1.645-513.0', '2019-10-08 13:42:54', '2019-10-08 13:42:54', '119.95', '€', NULL),
(131, 1, 'Severin 1000W 20L Cream Freestanding Combination Microwave MW7892', '2019-10-08 13:42:54', '2019-10-08 13:42:54', '119.95', '€', '129.95'),
(132, 1, 'Lavazza A Modo Mio Jolie Plus Gunmetal Grey Coffee Machine 18000128', '2019-10-08 13:42:54', '2019-10-08 13:42:54', '119.95', '€', NULL),
(133, 1, 'Severin 1000W 20L Red Freestanding Combination Microwave MW7893', '2019-10-08 13:42:54', '2019-10-08 13:42:54', '119.95', '€', '129.95'),
(134, 1, 'Beurer Video Baby Monitor BY77', '2019-10-08 13:42:55', '2019-10-08 13:42:55', '119.95', '€', NULL),
(135, 1, 'Swan 20L 80 Cup Stainless Steel Catering Urn SWU20L', '2019-10-08 13:42:55', '2019-10-08 13:42:55', '119.95', '€', NULL),
(136, 1, 'Sage The Perfect Press™ Sandwich Toaster SSG600BSS', '2019-10-08 13:42:55', '2019-10-08 13:42:55', '119.95', '€', NULL),
(137, 1, 'Livall Bluetooth Enabled Smart Helmet Black WBLBH51TSG', '2019-10-08 13:42:56', '2019-10-08 13:42:56', '119.95', '€', NULL),
(138, 1, 'Akai 700W 20L Digital Black Microwave A24006**', '2019-10-08 13:42:56', '2019-10-08 13:42:56', '119.95', '€', NULL),
(139, 1, 'Akai Bluetooth Portable Speaker with Light AKBT300B', '2019-10-08 13:42:56', '2019-10-08 13:42:56', '119.95', '€', NULL),
(140, 1, 'Brabantia Touch Bin 30L Brilliant Steel 115325', '2019-10-08 13:42:56', '2019-10-08 13:42:56', '119.95', '€', NULL),
(141, 1, 'Sage The Bit More Silver 4 Slice Toaster BTA730UK', '2019-10-08 13:42:56', '2019-10-08 13:42:56', '119.95', '€', NULL),
(142, 1, 'Brabantia Touch Bin 30L White 115141', '2019-10-08 13:42:57', '2019-10-08 13:42:57', '109.95', '€', NULL),
(143, 1, 'Lavazza A Modo Mio Fantasia Black Cappuccino Latte Coffee Machine LM7000', '2019-10-08 13:42:57', '2019-10-08 13:42:57', '109.95', '€', '189.95'),
(144, 1, 'Delonghi Avvolta 4 Slice Toaster CTA4003R', '2019-10-08 13:42:57', '2019-10-08 13:42:57', '109.95', '€', NULL),
(145, 1, 'Tower 800W 20L Black & Rose Gold Manual 6 Power Setting Solo Microwave T24020', '2019-10-08 13:42:58', '2019-10-08 13:42:58', '109.95', '€', NULL),
(146, 1, 'Tower 3600w Stainless Steel Dual Deep Fat Fryer 2 x 3L Baskets T17007', '2019-10-08 13:42:58', '2019-10-08 13:42:58', '109.95', '€', NULL),
(147, 1, 'Severin 600W Bread Maker S73990', '2019-10-08 13:42:58', '2019-10-08 13:42:58', '109.95', '€', NULL),
(148, 1, 'Krups Nespresso 1260W Citiz Pod Coffee Machine Cherry Red XN740540', '2019-10-08 13:42:59', '2019-10-08 13:42:59', '109.95', '€', '139.95'),
(149, 1, 'Toshiba True Wireless Earbuds with Voice Control', '2019-10-08 13:42:59', '2019-10-08 13:42:59', '102.95', '€', NULL),
(150, 1, 'Severin 29L Preserving and Hot Beverage Boiler S73653', '2019-10-08 13:43:00', '2019-10-08 13:43:00', '99.95', '€', '139.95'),
(151, 1, 'Daewoo 800w 20L Cream Freestanding Microwave KOR9LBKCR', '2019-10-08 13:43:00', '2019-10-08 13:43:00', '99.95', '€', NULL),
(152, 1, 'Philips Sonicare AirFloss Pink Rechargeable Power Flosser HX8222/02', '2019-10-08 13:43:00', '2019-10-08 13:43:00', '99.95', '€', NULL),
(153, 1, 'Daewoo 23L 800W Cream Retro Design Microwave KOR8A9CR', '2019-10-08 13:43:01', '2019-10-08 13:43:01', '99.95', '€', '109.95'),
(154, 1, 'Brabantia 1240mm x 380mm Ice Water Cover Ironing Board with Steam Iron Rest 310102', '2019-10-08 13:43:01', '2019-10-08 13:43:01', '99.95', '€', NULL),
(155, 1, 'Mira Beat White/Chrome Shower Fittings Kit 2.1703.015', '2019-10-08 13:43:01', '2019-10-08 13:43:01', '99.95', '€', NULL),
(156, 1, 'Sage Boss To Go Brushed Aluminium Blender BPB550BAL', '2019-10-08 13:43:01', '2019-10-08 13:43:01', '99.95', '€', '159.95'),
(157, 1, 'Akai 10\" Portable DVD Player A51006', '2019-10-08 13:43:02', '2019-10-08 13:43:02', '99.95', '€', '109.95'),
(158, 1, 'Daewoo 800w 20L Blue Freestanding Microwave KOR9LBKBLR', '2019-10-08 13:43:02', '2019-10-08 13:43:02', '99.95', '€', NULL),
(159, 1, 'Blue Diamond Black Mobile Gas Heater with Irish Jumbo Regulator AKHMGH', '2019-10-08 13:43:02', '2019-10-08 13:43:02', '99.95', '€', NULL),
(160, 1, 'Qualtex 9L Stainless Steel Water Urn Bolier EXSMIS882', '2019-10-08 13:43:02', '2019-10-08 13:43:02', '99.95', '€', NULL),
(161, 1, 'Daewoo 800w 20L White Freestanding Microwave KOR9LBKWR', '2019-10-08 13:43:03', '2019-10-08 13:43:03', '99.95', '€', NULL),
(162, 1, 'Daewoo 800w 20L Red Freestanding Microwave KOR9LBKRR', '2019-10-08 13:43:03', '2019-10-08 13:43:03', '99.95', '€', NULL),
(163, 1, 'Daewoo 4.1kW Portable Calor Gas Heater With Hose & Regulator HEA1490', '2019-10-08 13:43:04', '2019-10-08 13:43:04', '99.95', '€', NULL),
(164, 1, 'Nespresso Essenza Mini Black 19bar, 0.6Ltr', '2019-10-08 13:43:04', '2019-10-08 13:43:04', '99.95', '€', NULL),
(165, 1, 'Daewoo 23L 800W Gloss Red Retro Design Freestanding Microwave KOR8A9RR', '2019-10-08 13:43:04', '2019-10-08 13:43:04', '99.95', '€', '109.95'),
(166, 1, 'Swan 10L 40 Cup Stainless Steel Catering Urn SWU10L', '2019-10-08 13:43:05', '2019-10-08 13:43:05', '99.95', '€', NULL),
(167, 1, 'Montpellier 700W 20L White Solo Freestanding Microwave MMW22WS', '2019-10-08 13:43:05', '2019-10-08 13:43:05', '99.95', '€', NULL),
(168, 1, 'Tower 3.2L Black Rapid Air Fryer T17005', '2019-10-08 13:43:05', '2019-10-08 13:43:05', '96.95', '€', NULL),
(169, 1, 'George Foreman 7 Portion Red Pizza Plate Grill 24640', '2019-10-08 13:43:05', '2019-10-08 13:43:05', '95.95', '€', '99.95'),
(170, 1, 'Remington Hyperflex Aqua Plus Rotary Electric Shaver XR1350', '2019-10-08 13:43:06', '2019-10-08 13:43:06', '94.95', '€', NULL),
(171, 1, 'Severin 500ml Induction Milk Frother S73582', '2019-10-08 13:43:06', '2019-10-08 13:43:06', '94.95', '€', NULL),
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(257, 1, 'Tefal Convenient 6Ltr Stainless Steel Steamer with 60min timer autooff', '2019-10-08 13:43:29', '2019-10-08 13:43:29', '59.95', '€', NULL),
(258, 1, 'Tefal Jamie Oliver Grill Shark Tooth Premium Cast Aluminium Induction Pan E2114173', '2019-10-08 13:43:29', '2019-10-08 13:43:29', '59.95', '€', NULL),
(259, 1, 'Beko 2800W Pink High Pressure Steam Iron SPM7128P', '2019-10-08 13:43:29', '2019-10-08 13:43:29', '59.95', '€', NULL),
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(262, 1, 'DeLonghi 2kw Ceramic Fan Heater DCH6031', '2019-10-08 13:43:30', '2019-10-08 13:43:30', '59.95', '€', NULL),
(263, 1, 'Ariete Vintage 2 Slice Toaster Cream ARI015513', '2019-10-08 13:43:30', '2019-10-08 13:43:30', '59.95', '€', NULL),
(264, 1, 'Braun 600w MultiQuick 5 Baby Hand Blender MQ523', '2019-10-08 13:43:30', '2019-10-08 13:43:30', '59.95', '€', NULL),
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(267, 1, 'EI Electronics 10-Year Carbon Monoxide Detector FS207D', '2019-10-08 13:43:31', '2019-10-08 13:43:31', '59.95', '€', NULL),
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(270, 1, 'DeLonghi Avvolta 1.7L Red 2000w Kettle KBA3001R', '2019-10-08 13:43:32', '2019-10-08 13:43:32', '59.95', '€', NULL),
(271, 1, 'Bosch 2650w White/Grey Steam Iron TDA3017GB', '2019-10-08 13:43:32', '2019-10-08 13:43:32', '59.95', '€', NULL),
(272, 1, 'Ariete Vintage 1.7L 2000w Cream Jug Kettle ARI286903', '2019-10-08 13:43:32', '2019-10-08 13:43:32', '59.95', '€', NULL),
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(276, 1, 'Severin XXL Crêpe and Pancake Maker S72197', '2019-10-08 13:43:33', '2019-10-08 13:43:33', '56.95', '€', '69.95'),
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(278, 1, 'Beurer Heart Rate Monitor with Finger Sensor PM18', '2019-10-08 13:43:34', '2019-10-08 13:43:34', '54.95', '€', NULL),
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(291, 1, 'Lava BrightSounds 2 Mustard Portable Bluetooth Speaker with LED Light 9450', '2019-10-08 13:43:37', '2019-10-08 13:43:37', '49.95', '€', NULL),
(292, 1, 'Lava BrightSounds 2 Teal Portable Bluetooth Speaker with LED Light 9440', '2019-10-08 13:43:37', '2019-10-08 13:43:37', '49.95', '€', NULL),
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(298, 1, 'Lava BrightSounds 2 Blue Portable Bluetooth Speaker with LED Light 9430', '2019-10-08 13:43:39', '2019-10-08 13:43:39', '49.95', '€', NULL),
(299, 1, 'TCP Smart WiFi Motion Sensor TCPPIR', '2019-10-08 13:43:39', '2019-10-08 13:43:39', '49.95', '€', NULL),
(300, 1, 'TCP Smart Dimmable WiFi LED Tape Light TCPSTRIP', '2019-10-08 13:43:40', '2019-10-08 13:43:40', '49.95', '€', NULL),
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(303, 1, 'Remington Quick Cut Clipper HC4250', '2019-10-08 13:43:40', '2019-10-08 13:43:40', '49.95', '€', '59.95'),
(304, 1, 'Winterwarm 1.5KW Oil Radiator Thermostat WWR15', '2019-10-08 13:43:41', '2019-10-08 13:43:41', '49.95', '€', NULL),
(305, 1, 'Remington Dual Foil Electric Shaver F4800', '2019-10-08 13:43:41', '2019-10-08 13:43:41', '49.95', '€', NULL),
(306, 1, 'Remington PowerSeries Aqua Plus Rotary Shaver PR1350', '2019-10-08 13:43:41', '2019-10-08 13:43:41', '49.95', '€', '59.95'),
(307, 1, 'Tower Black Ceramic Coated Electric Sauté Pan T14010', '2019-10-08 13:43:41', '2019-10-08 13:43:41', '49.95', '€', NULL),
(308, 1, 'DeLonghi 1800w Retro Ceramic Fan Heater HFX30C18.IW', '2019-10-08 13:43:42', '2019-10-08 13:43:42', '49.95', '€', NULL),
(309, 1, 'Akai Lava Bluetooth Speaker With Light AKBTB', '2019-10-08 13:43:42', '2019-10-08 13:43:42', '49.95', '€', NULL),
(310, 1, 'Tower 2000W 180 Degree Silver Panini Grill T27011', '2019-10-08 13:43:42', '2019-10-08 13:43:42', '49.95', '€', NULL),
(311, 1, 'Beurer Digital Baby Monitor BY33', '2019-10-08 13:43:43', '2019-10-08 13:43:43', '49.95', '€', NULL),
(312, 1, 'Remington 2000w Blue Retro Hair Dryer Gift Set D4110OB', '2019-10-08 13:43:43', '2019-10-08 13:43:43', '49.95', '€', '59.95'),
(313, 1, 'DeLonghi Brillante 4 Slice Red Toaster CTJ4003R', '2019-10-08 13:43:43', '2019-10-08 13:43:43', '49.95', '€', NULL),
(314, 1, 'Bosch 1.7L 3100w Black Cordless Kettle TWK6A033GB', '2019-10-08 13:43:43', '2019-10-08 13:43:43', '49.95', '€', NULL),
(315, 1, 'Severin 500ml Stainless Steel Juicer S73566', '2019-10-08 13:43:44', '2019-10-08 13:43:44', '49.95', '€', '69.95'),
(316, 1, 'Soehnle Ravenna Aroma Diffuser S268026', '2019-10-08 13:43:44', '2019-10-08 13:43:44', '49.95', '€', '59.95'),
(317, 1, 'Coby 3-IN-1 Bluetooth Combo Pack CMB-104-WHT', '2019-10-08 13:43:44', '2019-10-08 13:43:44', '49.95', '€', NULL),
(318, 1, 'Tower 3 Tray Food Warmer & Buffet Server T16021', '2019-10-08 13:43:44', '2019-10-08 13:43:44', '49.95', '€', NULL),
(319, 1, 'Tower 12 Plates Electric Plate Warmer With Cool Touch T19015', '2019-10-08 13:43:45', '2019-10-08 13:43:45', '49.95', '€', NULL),
(320, 1, 'Warmlite 2000W Bar Heater WL42008', '2019-10-08 13:43:45', '2019-10-08 13:43:45', '49.95', '€', NULL),
(321, 1, 'Philips 400W 1500ml Blender HR210601', '2019-10-08 13:43:45', '2019-10-08 13:43:45', '49.95', '€', NULL),
(322, 1, 'Kenwood 2 Slice Scene Toaster TTM440', '2019-10-08 13:43:45', '2019-10-08 13:43:45', '49.95', '€', NULL),
(323, 1, 'Braun Multiquick 3 Handblender MQ325', '2019-10-08 13:43:46', '2019-10-08 13:43:46', '49.95', '€', NULL),
(324, 1, 'Brita Maxtra+ Universal Water Cartridge Refill (12 Pack) S1330', '2019-10-08 13:43:46', '2019-10-08 13:43:46', '49.95', '€', '64.95'),
(325, 1, 'Mira Logic 1.75m Metal Hose 2.1605.139', '2019-10-08 13:43:46', '2019-10-08 13:43:46', '49.95', '€', NULL),
(326, 1, 'Severin Double Tabletop Electric Hob S71014', '2019-10-08 13:43:46', '2019-10-08 13:43:46', '49.95', '€', '69.95'),
(327, 1, 'Severin Stainless Steel Fondue Set S72400', '2019-10-08 13:43:47', '2019-10-08 13:43:47', '49.95', '€', '69.95'),
(328, 1, 'Lava BrightSounds 2 Pink Portable Bluetooth Speaker with LED Light 9460', '2019-10-08 13:43:47', '2019-10-08 13:43:47', '49.95', '€', NULL),
(329, 1, 'Severin Black 4 Cup Espresso Maker S75978', '2019-10-08 13:43:47', '2019-10-08 13:43:47', '49.95', '€', '69.95'),
(330, 1, 'Soehnle Valencia Aroma Diffuser S268025', '2019-10-08 13:43:48', '2019-10-08 13:43:48', '47.95', '€', NULL),
(331, 1, 'Daewoo 2000W White Turbo Convector Heater HEA1137', '2019-10-08 13:43:48', '2019-10-08 13:43:48', '45.95', '€', NULL),
(332, 1, 'Tristar 3L Fryer large capacity TRIFR-6935', '2019-10-08 13:43:48', '2019-10-08 13:43:48', '45.95', '€', '49.95'),
(333, 1, 'Beurer White Nutritional Analysis Scale 70905', '2019-10-08 13:43:48', '2019-10-08 13:43:48', '45.95', '€', NULL),
(334, 1, 'Philips LivingColors Mini Black LED Table Lamp 7001930/PU', '2019-10-08 13:43:49', '2019-10-08 13:43:49', '45.95', '€', NULL),
(335, 1, 'Philips LivingColors Mini White LED Table Lamp 7001931PU', '2019-10-08 13:43:49', '2019-10-08 13:43:49', '45.95', '€', NULL),
(336, 1, 'One For All HD Bluetooth Music Receiver SV1820', '2019-10-08 13:43:49', '2019-10-08 13:43:49', '45.95', '€', NULL),
(337, 1, 'Beko 1000W White Sense Filter Coffee Machine CFM6151W', '2019-10-08 13:43:49', '2019-10-08 13:43:49', '45.95', '€', NULL),
(338, 1, 'Russell Hobbs 4 Slice Textures White Premium Toaster 21650', '2019-10-08 13:43:49', '2019-10-08 13:43:49', '45.95', '€', NULL),
(339, 1, 'Prem-I-Air 18\" Chrome Floor Fan EH1868 / EH1864', '2019-10-08 13:43:50', '2019-10-08 13:43:50', '45.95', '€', NULL),
(340, 1, 'Severin 1.7L Glass Jug Kettle S73475', '2019-10-08 13:43:50', '2019-10-08 13:43:50', '44.95', '€', '59.95'),
(341, 1, 'Dimplex 3000W Electric Flat Fan Heater DXFF30TSN', '2019-10-08 13:43:50', '2019-10-08 13:43:50', '44.95', '€', NULL),
(342, 1, 'Severin Black Kettle and Toaster Set S79801', '2019-10-08 13:43:51', '2019-10-08 13:43:51', '44.95', '€', '59.95'),
(343, 1, 'Severin 3L Rice Cooker and Steamer Stainless Steel S72425', '2019-10-08 13:43:51', '2019-10-08 13:43:51', '44.95', '€', '59.95'),
(344, 1, 'Severin Black Toaster Oven S72052', '2019-10-08 13:43:51', '2019-10-08 13:43:51', '44.95', '€', '59.95'),
(345, 1, 'Soehnle Chest Belt Connect 100 HR with Bluetooth S268103', '2019-10-08 13:43:52', '2019-10-08 13:43:52', '44.95', '€', NULL),
(346, 1, 'BaByliss Smooth Dry Air Styler 2772U', '2019-10-08 13:43:52', '2019-10-08 13:43:52', '44.95', '€', NULL),
(347, 1, 'Ei Electronics Fire Blanket & Extinguisher EI1006', '2019-10-08 13:43:52', '2019-10-08 13:43:52', '44.95', '€', NULL),
(348, 1, 'Russell Hobbs 1.5L Stainless Steel Dome Kettle 23900', '2019-10-08 13:43:52', '2019-10-08 13:43:52', '44.95', '€', '49.95'),
(349, 1, 'Severin White Kettle and Toaster Set S79800', '2019-10-08 13:43:52', '2019-10-08 13:43:52', '44.95', '€', '54.95'),
(350, 1, 'Bosch 1.7L 3100w White Cordless Kettle TWK6A031GB', '2019-10-08 13:43:53', '2019-10-08 13:43:53', '44.95', '€', NULL),
(351, 1, 'Elgento Black Non-Stick Electric Frying Pan E14024', '2019-10-08 13:43:53', '2019-10-08 13:43:53', '44.95', '€', NULL),
(352, 1, 'Remington Durablade Wet & Dry Electric Hybrid Razor MB010', '2019-10-08 13:43:53', '2019-10-08 13:43:53', '43.95', '€', '49.95'),
(353, 1, 'Russell Hobbs 2.5L 1800w Black Deep Fryer 24570', '2019-10-08 13:43:53', '2019-10-08 13:43:53', '43.95', '€', '59.95'),
(354, 1, 'Gimi Roy Ironing Board 1220mmx380mm EXSIRNROY', '2019-10-08 13:43:54', '2019-10-08 13:43:54', '42.95', '€', NULL),
(355, 1, 'StayWarm Luxury King Size Electric Underblanket EXSEBKING', '2019-10-08 13:43:54', '2019-10-08 13:43:54', '42.95', '€', NULL),
(356, 1, 'Akai Red Retro Bluetooth Speaker with Rechargeable Battery A58052R', '2019-10-08 13:43:54', '2019-10-08 13:43:54', '42.95', '€', NULL),
(357, 1, 'Beurer BM 49 Speaking Blood Pressure Monitor 656.29', '2019-10-08 13:43:54', '2019-10-08 13:43:54', '41.95', '€', NULL),
(358, 1, 'Akai Cream Retro Bluetooth Speaker with Rechargeable Battery A58052C', '2019-10-08 13:43:55', '2019-10-08 13:43:55', '40.95', '€', '42.95'),
(359, 1, 'Warmlite Kingsize Electric Blanket WN49003', '2019-10-08 13:43:55', '2019-10-08 13:43:55', '39.95', '€', NULL),
(360, 1, 'Delonghi Coffee/Spice Grinder KG49', '2019-10-08 13:43:55', '2019-10-08 13:43:55', '39.95', '€', NULL),
(361, 1, 'Tristar 155mm & 185mm White Electric Double Hob TRIKP-6245', '2019-10-08 13:43:56', '2019-10-08 13:43:56', '39.95', '€', NULL),
(362, 1, '1.8Ltr Cool Touch Rice Cooker', '2019-10-08 13:43:56', '2019-10-08 13:43:56', '39.95', '€', NULL),
(363, 1, 'Russell Hobbs Colours Plus 2 Slice Cream Toaster 23334', '2019-10-08 13:43:56', '2019-10-08 13:43:56', '39.95', '€', NULL),
(364, 1, 'Braun PurEase 2200W White 2 Slice Toaster HT3000WH', '2019-10-08 13:43:56', '2019-10-08 13:43:56', '39.95', '€', NULL),
(365, 1, 'GoXtreme MX200 Black HD Action Camera 56101', '2019-10-08 13:43:57', '2019-10-08 13:43:57', '39.95', '€', NULL),
(366, 1, 'Severin 300W Mix & Go Smoothie Maker S73735', '2019-10-08 13:43:57', '2019-10-08 13:43:57', '39.95', '€', NULL),
(367, 1, 'Severin Jug Kettle Flame Red S73417', '2019-10-08 13:43:57', '2019-10-08 13:43:57', '39.95', '€', NULL),
(368, 1, 'Bosch 400W Hand Mixer MFQ3630DGB', '2019-10-08 13:43:57', '2019-10-08 13:43:57', '39.95', '€', NULL),
(369, 1, 'Beurer BM 35 Blood Pressure Monitor 65409', '2019-10-08 13:43:58', '2019-10-08 13:43:58', '39.95', '€', NULL),
(370, 1, 'Lloytron Stay Warm 2000W White Electric Convection Heater F2403WH', '2019-10-08 13:43:58', '2019-10-08 13:43:58', '39.95', '€', NULL),
(371, 1, 'Tefal Jamie Oliver 280mm Stainless Steel Everyday Wok E7631914', '2019-10-08 13:43:58', '2019-10-08 13:43:58', '39.95', '€', NULL),
(372, 1, 'Akai Black Portable Boombox with Bluetooth CD106BT', '2019-10-08 13:43:58', '2019-10-08 13:43:58', '39.95', '€', NULL),
(373, 1, 'Tower 3.5L Slow Cooker Stainless Steel T16010', '2019-10-08 13:43:59', '2019-10-08 13:43:59', '39.95', '€', NULL),
(374, 1, 'Bosch 400W White Red Hand Mixer MFQ36300GB', '2019-10-08 13:43:59', '2019-10-08 13:43:59', '39.95', '€', NULL),
(375, 1, 'Beurer Hair Straightner with Ceramic Coated Plates 591.22', '2019-10-08 13:43:59', '2019-10-08 13:43:59', '39.95', '€', NULL),
(376, 1, 'Russell Hobbs 4 Slice Sandwich Toaster 24550', '2019-10-08 13:44:00', '2019-10-08 13:44:00', '39.95', '€', NULL);
INSERT INTO `products` (`id`, `category_id`, `name`, `created_at`, `updated_at`, `price`, `coin`, `rrp`) VALUES
(377, 1, 'Mira Logic 1.25m Plastic Hose 2.1605.167', '2019-10-08 13:44:00', '2019-10-08 13:44:00', '39.95', '€', NULL),
(378, 1, 'Tower 4 Slice Black Toaster T20010', '2019-10-08 13:44:00', '2019-10-08 13:44:00', '39.95', '€', NULL),
(379, 1, 'Tower 1.7L 2200W Titanium Matt Jug Kettle T10025', '2019-10-08 13:44:00', '2019-10-08 13:44:00', '39.95', '€', NULL),
(380, 1, 'BaByliss PowerGlide Titanium Hair Clipper 7448TU', '2019-10-08 13:44:00', '2019-10-08 13:44:00', '39.95', '€', NULL),
(381, 1, 'Beko Sense 2 Slice White Toaster TAM6202W', '2019-10-08 13:44:01', '2019-10-08 13:44:01', '39.95', '€', NULL),
(382, 1, 'Ovation Genius Smoothie Maker & Blender OVAHT225', '2019-10-08 13:44:01', '2019-10-08 13:44:01', '39.95', '€', NULL),
(383, 1, 'Kenwood 300W Smoothie Maker SB055', '2019-10-08 13:44:01', '2019-10-08 13:44:01', '39.95', '€', NULL),
(384, 1, 'Russell Hobbs Legacy 2 Slice Toaster Cream 21292', '2019-10-08 13:44:01', '2019-10-08 13:44:01', '39.95', '€', NULL),
(385, 1, 'Elgento 2.5L White Rice Cooker and Steamer E19020', '2019-10-08 13:44:02', '2019-10-08 13:44:02', '39.95', '€', NULL),
(386, 1, 'Tefal Jamie Oliver 240mm Stainless Steel Mediterranean Frypan E7630414', '2019-10-08 13:44:02', '2019-10-08 13:44:02', '39.95', '€', NULL),
(387, 1, 'Severin Brushed Stainles Steel 10-Cup Coffee Maker S74312**', '2019-10-08 13:44:03', '2019-10-08 13:44:03', '39.95', '€', NULL),
(388, 1, 'Tower 2-Slice Titanium Matt Toaster T20021', '2019-10-08 13:44:03', '2019-10-08 13:44:03', '39.95', '€', NULL),
(389, 1, 'Nedis 15W Wireless Bluetooth Speaker Gun Metal Grey EXSBT1002GY', '2019-10-08 13:44:03', '2019-10-08 13:44:03', '39.95', '€', NULL),
(390, 1, 'Beko Sense 2 Slice Black Toaster TAM6202B', '2019-10-08 13:44:03', '2019-10-08 13:44:03', '39.95', '€', NULL),
(391, 1, 'TCP Smart WiFi Downlight TCPDWN', '2019-10-08 13:44:03', '2019-10-08 13:44:03', '39.95', '€', NULL),
(392, 1, 'Beurer Triple Ionic 2200w AC Hairdryer 591.25 / 15', '2019-10-08 13:44:04', '2019-10-08 13:44:04', '39.95', '€', '42.95'),
(393, 1, 'Severin Metallic Red 2 Slice Toaster S72217', '2019-10-08 13:44:04', '2019-10-08 13:44:04', '39.95', '€', NULL),
(394, 1, 'Universal Stacking Kit EXSMWP5001', '2019-10-08 13:44:05', '2019-10-08 13:44:05', '39.95', '€', NULL),
(395, 1, 'Severin 30cm Non-Stick Crêpe Maker S72198', '2019-10-08 13:44:05', '2019-10-08 13:44:05', '39.95', '€', '49.95'),
(396, 1, 'Kenwood 650W 2000ml Blender BLP400WH', '2019-10-08 13:44:05', '2019-10-08 13:44:05', '39.95', '€', NULL),
(397, 1, 'Braun PurEase 1.7L 3000W White Kettle WK3110WH', '2019-10-08 13:44:05', '2019-10-08 13:44:05', '39.95', '€', NULL),
(398, 1, 'Severin Travel Bundle Set S79805', '2019-10-08 13:44:06', '2019-10-08 13:44:06', '39.95', '€', NULL),
(399, 1, 'Beldray Double Electric Under Blanket EH1285', '2019-10-08 13:44:06', '2019-10-08 13:44:06', '39.95', '€', NULL),
(400, 1, 'Beko 4 Slice White Toaster TAM4341W', '2019-10-08 13:44:06', '2019-10-08 13:44:06', '39.95', '€', NULL),
(401, 1, 'HoMedics Dimming Mirror MIR-SR820', '2019-10-08 13:44:06', '2019-10-08 13:44:06', '38.95', '€', '54.95'),
(402, 1, 'Russell Hobbs 2 Slice Buckingham Stainless Steel Toaster 20740', '2019-10-08 13:44:06', '2019-10-08 13:44:06', '38.95', '€', '44.95'),
(403, 1, 'Philips Clock Radio & Universal Smart Phone Charger AJ3200/05', '2019-10-08 13:44:07', '2019-10-08 13:44:07', '35.95', '€', NULL),
(404, 1, 'One For All Automatic Smart HDMI Switch SV1630', '2019-10-08 13:44:07', '2019-10-08 13:44:07', '34.95', '€', NULL),
(405, 1, 'Severin Single Tabletop Electric Hob S71091', '2019-10-08 13:44:07', '2019-10-08 13:44:07', '34.95', '€', NULL),
(406, 1, 'Sage Temp Control Milk Jug BES003UK', '2019-10-08 13:44:08', '2019-10-08 13:44:08', '34.95', '€', NULL),
(407, 1, 'Coby White Bluetooth Wireless Headphones w/Mic CHBT-706-WHT', '2019-10-08 13:44:08', '2019-10-08 13:44:08', '34.95', '€', NULL),
(408, 1, 'Coby Red Bluetooth Wireless Headphones w/Mic CHBT-706RD', '2019-10-08 13:44:08', '2019-10-08 13:44:08', '34.95', '€', NULL),
(409, 1, 'Beurer EcoLogic Single Electric Underblanket 303.35', '2019-10-08 13:44:08', '2019-10-08 13:44:08', '34.95', '€', NULL),
(410, 1, 'Tower 3 Tier Stainless Steel Steamer T21001', '2019-10-08 13:44:09', '2019-10-08 13:44:09', '34.95', '€', NULL),
(411, 1, 'Dimplex 2000W Electric Fan Heater DXUF20TN', '2019-10-08 13:44:09', '2019-10-08 13:44:09', '34.95', '€', NULL),
(412, 1, 'Akai Bluetooth Tube Speaker AKBT55', '2019-10-08 13:44:09', '2019-10-08 13:44:09', '34.95', '€', NULL),
(413, 1, 'Akai DVD Player with USB & MP4 AKDV01', '2019-10-08 13:44:09', '2019-10-08 13:44:09', '34.95', '€', NULL),
(414, 1, 'Morphy Richards Chroma 2 Slice Toaster 221107', '2019-10-08 13:44:10', '2019-10-08 13:44:10', '34.95', '€', NULL),
(415, 1, 'Akai Bluetooth Speaker and Lamp AKBT65', '2019-10-08 13:44:10', '2019-10-08 13:44:10', '34.95', '€', NULL),
(416, 1, 'Philips 2200w EasySpeed Steam Iron GC2046/20', '2019-10-08 13:44:10', '2019-10-08 13:44:10', '34.95', '€', NULL),
(417, 1, 'Severin 1L 2200w Stainless Steel Jug Kettle S73496', '2019-10-08 13:44:10', '2019-10-08 13:44:10', '34.95', '€', NULL),
(418, 1, 'Tefal White Collection Mini Pro Chopper MQ714140', '2019-10-08 13:44:11', '2019-10-08 13:44:11', '34.95', '€', '36.95'),
(419, 1, 'Angel Eye Carbon Monoxide Detector EXSMISCARBON', '2019-10-08 13:44:11', '2019-10-08 13:44:11', '34.47', '€', NULL),
(420, 1, 'EI Electronics Fire Safety Kit FS1006', '2019-10-08 13:44:11', '2019-10-08 13:44:11', '33.95', '€', '39.95'),
(421, 1, 'Brabantia 30 Piece Matt Steel Coffee Capsule Dispenser With Removable Cup 418709', '2019-10-08 13:44:11', '2019-10-08 13:44:11', '33.95', '€', NULL),
(422, 1, 'Brabantia Pedal Bin 5L White 112065', '2019-10-08 13:44:12', '2019-10-08 13:44:12', '32.95', '€', NULL),
(423, 1, 'Brabantia 600mm x100mm Ivory Sleeve Ironing Board 102400', '2019-10-08 13:44:12', '2019-10-08 13:44:12', '32.95', '€', '39.95'),
(424, 1, 'Brabantia Pedal Bin 5L Brilliant Steel 112621', '2019-10-08 13:44:12', '2019-10-08 13:44:12', '32.95', '€', NULL),
(425, 1, 'StayWarm Luxury Double Electric Underblanket EXSEBDOUBLE', '2019-10-08 13:44:12', '2019-10-08 13:44:12', '31.95', '€', NULL),
(426, 1, 'Beurer HC 25 Travel Hairdryer 591.23', '2019-10-08 13:44:13', '2019-10-08 13:44:13', '29.95', '€', NULL),
(427, 1, 'Philips Bodygroom Series 1000 With Skin Protector BG105/10', '2019-10-08 13:44:13', '2019-10-08 13:44:13', '29.95', '€', NULL),
(428, 1, 'Blue Diamond White Double Electric Underblanket 1200mm x 1300mm AKHEBD', '2019-10-08 13:44:13', '2019-10-08 13:44:13', '29.95', '€', NULL),
(429, 1, 'Mira Beat Single Spray Shower Head 2.1703.009', '2019-10-08 13:44:13', '2019-10-08 13:44:13', '29.95', '€', NULL),
(430, 1, 'Itek HD Car Dash Camera I67001**', '2019-10-08 13:44:14', '2019-10-08 13:44:14', '29.95', '€', NULL),
(431, 1, 'Severin 2400W White/Blue Steam Iron S73256', '2019-10-08 13:44:14', '2019-10-08 13:44:14', '29.95', '€', NULL),
(432, 1, 'Tower 300W Stainless Steel Hand Mixer T12016', '2019-10-08 13:44:14', '2019-10-08 13:44:14', '29.95', '€', NULL),
(433, 1, 'Beko 3000W 1.7L New Line Kettle WKM4322W', '2019-10-08 13:44:14', '2019-10-08 13:44:14', '29.95', '€', NULL),
(434, 1, 'Crock Pot 2.4L Slow Cooker Black CSC046', '2019-10-08 13:44:15', '2019-10-08 13:44:15', '29.95', '€', NULL),
(435, 1, 'Philips 2 Slice Daily Collection White Toaster HD2595/01', '2019-10-08 13:44:15', '2019-10-08 13:44:15', '29.95', '€', NULL),
(436, 1, 'Kenwood Hand Mixer HM520', '2019-10-08 13:44:15', '2019-10-08 13:44:15', '29.95', '€', '34.95'),
(437, 1, 'Tefal Jamie Oliver 200mm Stainless Steel Mediterranean Frypan E7630214', '2019-10-08 13:44:15', '2019-10-08 13:44:15', '29.95', '€', NULL),
(438, 1, 'Framar Metalstir 1140mm x 330mm Ironing Board TSU154191', '2019-10-08 13:44:16', '2019-10-08 13:44:16', '29.95', '€', NULL),
(439, 1, 'Beko 2400W Steam Iron SIM6124', '2019-10-08 13:44:16', '2019-10-08 13:44:16', '29.95', '€', '39.95'),
(440, 1, 'TCP Smart WiFi LED GU10 Light Bulb TCPGU10', '2019-10-08 13:44:16', '2019-10-08 13:44:16', '29.95', '€', NULL),
(441, 1, 'TCP Smart WiFi LED Filament Bulb TCPE27FIL', '2019-10-08 13:44:17', '2019-10-08 13:44:17', '29.95', '€', NULL),
(442, 1, 'TCP Smart WiFi LED Filament Light Bulb TCPB22FIL', '2019-10-08 13:44:17', '2019-10-08 13:44:17', '29.95', '€', NULL),
(443, 1, 'Beurer HT 50 Hot Air Brush 591.26', '2019-10-08 13:44:17', '2019-10-08 13:44:17', '29.95', '€', NULL),
(444, 1, 'Russell Hobbs 1.7L White Textures Kettle 21270', '2019-10-08 13:44:17', '2019-10-08 13:44:17', '29.95', '€', NULL),
(445, 1, 'Carbon Monoxide Alarm FS204', '2019-10-08 13:44:18', '2019-10-08 13:44:18', '29.95', '€', NULL),
(446, 1, '350W Hand blender with Metal foot', '2019-10-08 13:44:18', '2019-10-08 13:44:18', '29.95', '€', NULL),
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(584, 1, 'Akai 2000W White Fan Heater AKH2KWUFH', '2019-10-08 13:44:53', '2019-10-08 13:44:53', '12.95', '€', NULL),
(585, 1, 'Brita Universal Filter Disc (3 Pack) S1310', '2019-10-08 13:44:53', '2019-10-08 13:44:53', '12.95', '€', '14.95'),
(586, 1, 'Goobay High Speed HDMI 2 Metre Cable Black 45943', '2019-10-08 13:44:53', '2019-10-08 13:44:53', '12.95', '€', NULL),
(587, 1, 'PowerMaster 4 Way Extension Lead with Individual Switches 2 Metre EXSFLX4G2MSWIND', '2019-10-08 13:44:53', '2019-10-08 13:44:53', '12.95', '€', NULL),
(588, 1, 'PowerMaster 4 Way Surge Protected Extension Lead 2 Metre EXSFLX9451', '2019-10-08 13:44:54', '2019-10-08 13:44:54', '12.95', '€', NULL),
(589, 1, 'Smoke Alarm With Silencer FS100S', '2019-10-08 13:44:54', '2019-10-08 13:44:54', '12.95', '€', '14.95'),
(590, 1, 'Brabantia Tasty Colours Large Cutting Board in Mint 109126', '2019-10-08 13:44:54', '2019-10-08 13:44:54', '11.95', '€', NULL),
(591, 1, 'Brabantia Silicone Ironing Pad 105401', '2019-10-08 13:44:54', '2019-10-08 13:44:54', '11.95', '€', NULL),
(592, 1, 'PowerMaster Single Socket Extension Lead 5 Metre EXSFLX1G5M**', '2019-10-08 13:44:54', '2019-10-08 13:44:54', '11.95', '€', NULL),
(593, 1, 'Brabantia 1100mm x 300mm Botanical Ironing Board Cover 118760', '2019-10-08 13:44:55', '2019-10-08 13:44:55', '11.95', '€', NULL),
(594, 1, 'Goobay Dual USB Charging Power Adapter 45259', '2019-10-08 13:44:55', '2019-10-08 13:44:55', '10.95', '€', NULL),
(595, 1, 'Brabantia White Ironing Board Cover Replacement Felt Pad 196423', '2019-10-08 13:44:55', '2019-10-08 13:44:55', '10.95', '€', NULL),
(596, 1, 'Brabantia Tasty Colours Fine Grater in Red 110108', '2019-10-08 13:44:55', '2019-10-08 13:44:55', '10.95', '€', NULL),
(597, 1, 'Brabantia Tasty Colours Coarse Grater in Mint 110122', '2019-10-08 13:44:56', '2019-10-08 13:44:56', '10.95', '€', NULL),
(598, 1, 'Brabantia Tasty Colours Colander in Mint 110061', '2019-10-08 13:44:56', '2019-10-08 13:44:56', '10.95', '€', NULL),
(599, 1, 'Coby Metallic Silver Stereo Earbuds with Built-in Microphone CVE-128SL', '2019-10-08 13:44:56', '2019-10-08 13:44:56', '9.95', '€', NULL),
(600, 1, 'Coby Metallic Red Stereo Earbuds with Built-in Microphone CVE-128RD', '2019-10-08 13:44:56', '2019-10-08 13:44:56', '9.95', '€', NULL),
(601, 1, 'First Alert Smoke Alarm JEGJV161', '2019-10-08 13:44:56', '2019-10-08 13:44:56', '9.95', '€', NULL),
(602, 1, 'Prima Chrome 1 Mode Shower Head 82026139', '2019-10-08 13:44:57', '2019-10-08 13:44:57', '9.95', '€', '14.95'),
(603, 1, 'Minky Easy Fit Elastic Ironing Board Cover PP23002000**', '2019-10-08 13:44:57', '2019-10-08 13:44:57', '9.95', '€', NULL),
(604, 1, 'PowerMaster 6 Way Extension Lead 2 Metre EXSFLX6G2M', '2019-10-08 13:44:57', '2019-10-08 13:44:57', '9.95', '€', NULL),
(605, 1, 'Qualtex Packed 2.5m Washing Machine/Dishwasher Blue Inlet Hose EXSFWH21BULK', '2019-10-08 13:44:57', '2019-10-08 13:44:57', '9.95', '€', NULL),
(606, 1, 'Goobay 1 Metre USB-C to USB 2.0 Cable Black 62091', '2019-10-08 13:44:58', '2019-10-08 13:44:58', '9.95', '€', NULL),
(607, 1, 'Brabantia Soft Touch Clothes Hangers Set of 3 105548', '2019-10-08 13:44:58', '2019-10-08 13:44:58', '8.95', '€', NULL),
(608, 1, 'Brabantia Tasty Colours Utility Knife in Green 108020', '2019-10-08 13:44:58', '2019-10-08 13:44:58', '8.95', '€', NULL),
(609, 1, 'PowerMaster Fused Night Light with Spare Bulb EXSACCNIGHT', '2019-10-08 13:44:58', '2019-10-08 13:44:58', '7.95', '€', NULL),
(610, 1, 'Brabantia Tasty Colours Kitchen Scissors in Mint 117022', '2019-10-08 13:44:58', '2019-10-08 13:44:58', '7.95', '€', NULL),
(611, 1, 'Brabantia Tasty Colours Herb Scissors in Green 106620', '2019-10-08 13:44:59', '2019-10-08 13:44:59', '7.95', '€', NULL),
(612, 1, 'Brabantia Tasty Colours Medium Cutting Board in Red 109102', '2019-10-08 13:44:59', '2019-10-08 13:44:59', '7.95', '€', NULL),
(613, 1, 'Brabantia Tasty Colours Paring Knife in Yellow 108006', '2019-10-08 13:44:59', '2019-10-08 13:44:59', '7.95', '€', NULL),
(614, 1, 'PowerMaster 24HR Plug In Timer JEGJK215', '2019-10-08 13:44:59', '2019-10-08 13:44:59', '7.95', '€', NULL),
(615, 1, 'Lavazza Coffee Machine Descaler 18400049', '2019-10-08 13:45:00', '2019-10-08 13:45:00', '7.95', '€', NULL),
(616, 1, 'Qualtex Packed 1.5m Washing Machine/Dishwasher Blue Inlet Hose EXSFWH19', '2019-10-08 13:45:00', '2019-10-08 13:45:00', '7.50', '€', NULL),
(617, 1, 'Lavazza A Modo Mio Intenso Capsules 8602', '2019-10-08 13:45:00', '2019-10-08 13:45:00', '6.95', '€', NULL),
(618, 1, 'Furex 250ml Kettle Descaler EXSMISFUREXBULK', '2019-10-08 13:45:00', '2019-10-08 13:45:00', '6.95', '€', NULL),
(619, 1, 'Brita 0.6L Purple Fill & Go Active Bottle S1202', '2019-10-08 13:45:00', '2019-10-08 13:45:00', '6.95', '€', '9.95'),
(620, 1, 'Brita 0.6L Lime Fill & Go Active Bottle S1201', '2019-10-08 13:45:01', '2019-10-08 13:45:01', '6.95', '€', '9.95'),
(621, 1, 'Pifco 4 Way Extension Lead 2 Metre EXSFLX4G2M', '2019-10-08 13:45:01', '2019-10-08 13:45:01', '6.95', '€', NULL),
(622, 1, 'SodaStream 440ml Classic Lemonade Flavouring Syrup 1024259440', '2019-10-08 13:45:01', '2019-10-08 13:45:01', '6.95', '€', NULL),
(623, 1, 'SodaStream 440ml Classic Cola Flavouring Syrup 1424220440', '2019-10-08 13:45:01', '2019-10-08 13:45:01', '6.95', '€', NULL),
(624, 1, 'Lavazza A Modo Mio Soave Coffee Capsules', '2019-10-08 13:45:02', '2019-10-08 13:45:02', '6.95', '€', NULL),
(625, 1, 'Lavazza A Modo Mio Lungo Lieve Coffee Capsules 8645', '2019-10-08 13:45:02', '2019-10-08 13:45:02', '6.95', '€', NULL),
(626, 1, 'Lavazza A Modo Mio Passionale Capsules 8600', '2019-10-08 13:45:02', '2019-10-08 13:45:02', '6.95', '€', NULL),
(627, 1, 'Brabantia White Bra Wash Bag 105463', '2019-10-08 13:45:02', '2019-10-08 13:45:02', '6.95', '€', NULL),
(628, 1, 'Brita 0.6L Blue Fill & Go Active Bottle S1200', '2019-10-08 13:45:02', '2019-10-08 13:45:02', '6.95', '€', '9.95'),
(629, 1, 'Lavazza A Modo Mio Crema E Gusto Coffee Capsules 8869', '2019-10-08 13:45:03', '2019-10-08 13:45:03', '6.95', '€', NULL),
(630, 1, 'Lavazza A Modo Mio Delizioso Capsules 8601', '2019-10-08 13:45:03', '2019-10-08 13:45:03', '6.95', '€', NULL),
(631, 1, 'Brita 0.6L Pink Fill & Go Active Bottle S1199', '2019-10-08 13:45:03', '2019-10-08 13:45:03', '6.95', '€', '9.95'),
(632, 1, 'Lavazza A Modo Mio Qualita Oro Coffee Capsules 8867', '2019-10-08 13:45:03', '2019-10-08 13:45:03', '5.95', '€', NULL),
(633, 1, 'Lavazza A Modo Mio Tierra Peru Coffee Capsules 8785', '2019-10-08 13:45:04', '2019-10-08 13:45:04', '5.95', '€', NULL),
(634, 1, 'Brabantia Tasty Colours Small Cutting Board in Yellow 109089', '2019-10-08 13:45:04', '2019-10-08 13:45:04', '5.95', '€', NULL),
(635, 1, 'Lavazza A Modo Mio Tierra Brazil Coffee Capsules 8784', '2019-10-08 13:45:04', '2019-10-08 13:45:04', '5.95', '€', NULL),
(636, 1, 'Lavazza A Modo Mio Magia Coffee Capsules 8881', '2019-10-08 13:45:04', '2019-10-08 13:45:04', '5.95', '€', NULL),
(637, 1, 'Lavazza A Modo Mio Divino Capsules 8605**', '2019-10-08 13:45:05', '2019-10-08 13:45:05', '5.95', '€', '7.95'),
(638, 1, 'Lavazza A Modo Mio Tierra Bio Coffee Capsules 8882', '2019-10-08 13:45:05', '2019-10-08 13:45:05', '5.95', '€', NULL),
(639, 1, 'Lavazza A Modo Mio Divino Coffee Capsules 8817', '2019-10-08 13:45:05', '2019-10-08 13:45:05', '5.95', '€', NULL),
(640, 1, 'Brabantia Dark Grey Clothes Brush 105340', '2019-10-08 13:45:05', '2019-10-08 13:45:05', '5.95', '€', NULL),
(641, 1, 'Brabantia 400mm x 600mm Ironing Cloth 105487', '2019-10-08 13:45:05', '2019-10-08 13:45:05', '5.95', '€', NULL),
(642, 1, 'Opal Washing Machine and Dishwasher Descaler EXSOPL02', '2019-10-08 13:45:05', '2019-10-08 13:45:05', '5.95', '€', NULL),
(643, 1, 'Duracell Plus Power AA Batteries 4 Pack EXSBATDLR6', '2019-10-08 13:45:06', '2019-10-08 13:45:06', '4.95', '€', NULL),
(644, 1, 'Qualtex Blanking Nut for Dishwasher/Washing Machine EXSPLG44', '2019-10-08 13:45:06', '2019-10-08 13:45:06', '4.95', '€', NULL),
(645, 1, 'Goobay 1 Metre CAT6 Patch Cable U/UTP 72628', '2019-10-08 13:45:06', '2019-10-08 13:45:06', '4.95', '€', NULL),
(646, 1, 'Duracell Plus Power C Batteries 2 Pack EXSBATDLR14', '2019-10-08 13:45:07', '2019-10-08 13:45:07', '4.95', '€', NULL),
(647, 1, 'Duracell Plus Power 9V Battery EXSBATDPP3ALK', '2019-10-08 13:45:07', '2019-10-08 13:45:07', '4.95', '€', NULL),
(648, 1, 'Duracell Plus Power AAA Batteries 4 Pack EXSBATDLRO3', '2019-10-08 13:45:07', '2019-10-08 13:45:07', '4.95', '€', NULL),
(649, 1, 'Lavazza Compostable Eco Caps Nespresso Compatible Capsules | Espresso Bio-Organic 8252', '2019-10-08 13:45:07', '2019-10-08 13:45:07', '3.95', '€', NULL),
(650, 1, 'Lavazza Compostable Eco Caps Nespresso Compatible Capsules | Espresso Deciso 8251', '2019-10-08 13:45:07', '2019-10-08 13:45:07', '3.95', '€', NULL),
(651, 1, 'Lavazza Compostable Eco Caps Nespresso Compatible Capsules | Espresso Armonico 8250', '2019-10-08 13:45:07', '2019-10-08 13:45:07', '3.95', '€', NULL),
(652, 2, 'Montpellier 12 Place Setting Black Freestanding 12L Dishwasher DW1254K', '2019-10-08 13:45:08', '2019-10-08 13:45:08', '239.95', '€', '329.95'),
(653, 2, 'Montpellier 10 Place Settings Integrated Slimline Dishwasher MDI450-2', '2019-10-08 13:45:08', '2019-10-08 13:45:08', '239.95', '€', '299.95'),
(654, 2, 'Montpellier 12 Place Settings White Integrated Dishwasher MDI600', '2019-10-08 13:45:08', '2019-10-08 13:45:08', '259.95', '€', '299.95'),
(655, 2, 'Montpellier 12 Place Setting Silver Freestanding 12L Dishwasher DW1254S', '2019-10-08 13:45:09', '2019-10-08 13:45:09', '269.95', '€', NULL),
(656, 2, 'Montpellier 12 Place Settings White Semi-Integrated Dishwasher MDI650W', '2019-10-08 13:45:09', '2019-10-08 13:45:09', '279.95', '€', '329.95'),
(657, 2, 'Montpellier 12 Place Settings White Integrated 12L Dishwasher MDI700', '2019-10-08 13:45:09', '2019-10-08 13:45:09', '279.95', '€', '369.95'),
(658, 2, 'Gorenje 16 Place Settings Integrated Dishwasher GV66260UK', '2019-10-08 13:45:10', '2019-10-08 13:45:10', '280.00', '€', NULL),
(659, 2, 'Hotpoint 10 Place Settings 11.5L White Freestanding Slimline Dishwasher HSFE1B19UK', '2019-10-08 13:45:10', '2019-10-08 13:45:10', '289.95', '€', '349.95'),
(660, 2, 'Indesit Ecotime 13 Place Settings Integrated Dishwasher DIF 04B1 UK', '2019-10-08 13:45:10', '2019-10-08 13:45:10', '299.95', '€', '329.95'),
(661, 2, 'Montpellier 10 Place Settings Slimline Integrated 10.5L Dishwasher MDI450**', '2019-10-08 13:45:11', '2019-10-08 13:45:11', '299.95', '€', NULL),
(662, 2, 'Indesit 13 Place Settings White Freestanding Dishwasher DFG 15B1 UK', '2019-10-08 13:45:11', '2019-10-08 13:45:11', '299.99', '€', '319.95'),
(663, 2, 'Hotpoint 13 Place Settings Black Freestanding Dishwasher FDFEX 11011 K', '2019-10-08 13:45:11', '2019-10-08 13:45:11', '319.95', '€', '399.95'),
(664, 2, 'Bosch Slimline 9 Place Setting White Freestanding Dishwasher SPS24CW00G', '2019-10-08 13:45:11', '2019-10-08 13:45:11', '319.95', '€', '429.95'),
(665, 2, 'Montpellier 12 Place Settings Stainless Steel Semi-Integrated 9L Dishwasher MDI650X', '2019-10-08 13:45:12', '2019-10-08 13:45:12', '319.95', '€', '369.95'),
(666, 2, 'Montpellier 12 Place Settings Black Semi-Integrated Dishwasher MDI650K', '2019-10-08 13:45:12', '2019-10-08 13:45:12', '339.95', '€', NULL),
(667, 2, 'Montpellier 10 Place Setting Integrated Slimline Dishwasher MDI500', '2019-10-08 13:45:12', '2019-10-08 13:45:12', '349.95', '€', '369.95'),
(668, 2, 'Hotpoint Aquarius 15 Place Settings Semi-Integrated Dishwasher HBC 2B19 X UK', '2019-10-08 13:45:13', '2019-10-08 13:45:13', '349.95', '€', '459.95'),
(669, 2, 'Bosch 9 Place Setting Black Integrated Slimline Dishwasher SPV25CX00G', '2019-10-08 13:45:13', '2019-10-08 13:45:13', '349.95', '€', '419.95'),
(670, 2, 'Whirlpool 14 Place Setting White Freestanding Dishwasher WFC 3C24 P', '2019-10-08 13:45:13', '2019-10-08 13:45:13', '349.99', '€', '449.95'),
(671, 2, 'Bosch 12 Place Setting Black Semi-Integrated 9.5L Dishwasher SMI50C16GB', '2019-10-08 13:45:14', '2019-10-08 13:45:14', '399.95', '€', '529.95'),
(672, 2, 'Hotpoint Aquarius 13 Place Settings Semi-Integrated Dishwasher HBC 2B19 UK', '2019-10-08 13:45:14', '2019-10-08 13:45:14', '399.95', '€', NULL),
(673, 2, 'Bosch Serie 4 6 Place Settings Freestanding Table Top Dishwasher SKS62E22EU', '2019-10-08 13:45:14', '2019-10-08 13:45:14', '429.95', '€', '519.95'),
(674, 2, 'Samsung 14 Place Setting White Freestanding Dishwasher DW60M6050FW/EU', '2019-10-08 13:45:14', '2019-10-08 13:45:14', '449.95', '€', '599.95'),
(675, 2, 'Samsung 14 Place Settings Integrated Dishwasher with Waterfall Technology DW60M9550BB/EU', '2019-10-08 13:45:15', '2019-10-08 13:45:15', '999.95', '€', '1,299.95');
-- --------------------------------------------------------
--
-- Volcado de datos para la tabla `product_property`
--
INSERT INTO `product_property` (`id`, `content`, `product_id`, `property_id`) VALUES
(1, 'Sage', 1, 1),
(2, '2 Years', 1, 2),
(3, 'Bean to Cup', 1, 3),
(4, '2.5L', 1, 4),
(5, 'Sage', 2, 1),
(6, '2 Years', 2, 2),
(7, 'Bean to Cup', 2, 3),
(8, '2.5L', 2, 4),
(9, 'Sage', 3, 1),
(10, '2 Years', 3, 2),
(11, 'Bean to Cup', 3, 3),
(12, '2L', 3, 4),
(13, 'Samsung', 4, 1),
(14, '800W', 4, 5),
(15, '50L', 4, 4),
(16, 'Combination Microwave', 4, 3),
(17, 'APPLE', 5, 1),
(18, 'iPad Pro', 5, 3),
(19, 'Space Grey', 5, 6),
(20, '1 Year', 5, 2),
(21, 'Delonghi', 6, 1),
(22, '195mm', 6, 7),
(23, '340mm', 6, 8),
(24, '477mm', 6, 9),
(25, 'Delonghi', 7, 1),
(26, 'Silver', 7, 6),
(27, '195mm', 7, 7),
(28, '340mm', 7, 8),
(29, 'Delonghi', 8, 1),
(30, 'White', 8, 6),
(31, '260mm', 8, 7),
(32, '360mm', 8, 8),
(33, 'Samsung', 9, 1),
(34, '900W', 9, 5),
(35, 'Built In', 9, 10),
(36, 'Integrated Microwave', 9, 3),
(37, 'De\'Longhi', 10, 1),
(38, 'White', 10, 6),
(39, '348mm', 10, 7),
(40, '236mm', 10, 8),
(41, 'Sage', 11, 1),
(42, '2L', 11, 4),
(43, '2 Years', 11, 2),
(44, 'Bean to Cup', 11, 3),
(45, 'Montpellier', 12, 1),
(46, '427mm', 12, 8),
(47, '5 Years', 12, 2),
(48, 'Silver', 12, 6),
(49, 'Whirlpool', 13, 1),
(50, 'Built In', 13, 10),
(51, 'Combination Microwave', 13, 3),
(52, '40L', 13, 4),
(53, 'Montpellier', 14, 1),
(54, '427mm', 14, 8),
(55, '5 Years', 14, 2),
(56, 'Stainless Steel', 14, 6),
(57, 'Montpellier', 15, 1),
(58, '427mm', 15, 8),
(59, '5 Years', 15, 2),
(60, 'Stainless Steel', 15, 6),
(61, 'Dyson', 16, 1),
(62, 'Fan/Heater', 16, 3),
(63, '2 Years', 16, 2),
(64, '248mm', 16, 7),
(65, 'Montpellier', 17, 1),
(66, 'Chrome', 17, 6),
(67, '427mm', 17, 8),
(68, '5 Years', 17, 2),
(69, 'Sage', 18, 1),
(70, 'Silver', 18, 6),
(71, '2 Years', 18, 2),
(72, 'Food Processor', 18, 3),
(73, 'Culina', 19, 1),
(74, 'Built In', 19, 10),
(75, 'Black', 19, 6),
(76, '525mm', 19, 7),
(77, 'White', 20, 6),
(78, 'Dyson', 20, 1),
(79, 'Humidifier', 20, 3),
(80, '2 Years', 20, 2),
(81, 'Dyson', 21, 1),
(82, '1054mm', 21, 8),
(83, '223mm', 21, 7),
(84, '223mm', 21, 9),
(85, 'Montpellier', 22, 1),
(86, 'Built In', 22, 10),
(87, 'Black', 22, 6),
(88, '595mm', 22, 7),
(89, 'Montpellier', 23, 1),
(90, 'Chrome', 23, 6),
(91, '273mm', 23, 8),
(92, '5 Years', 23, 2),
(93, 'Krups', 24, 1),
(94, 'Black', 24, 6),
(95, 'Bean to Cup', 24, 3),
(96, '1.8L', 24, 4),
(97, 'White', 25, 6),
(98, 'Dyson', 25, 1),
(99, '2 Years', 25, 2),
(100, 'Fan/Heater', 25, 3),
(101, 'Integrated', 26, 10),
(102, 'Samsung', 26, 1),
(103, 'Stainless Steel', 26, 6),
(104, 'Combination Microwave', 26, 3),
(105, 'Dyson', 27, 1),
(106, '352mm', 27, 7),
(107, '691mm', 27, 8),
(108, '223mm', 27, 9),
(109, 'Sage', 28, 1),
(110, 'Espresso Machine', 28, 3),
(111, '1.9L', 28, 4),
(112, '2 Years', 28, 2),
(113, '1.8L', 29, 4),
(114, '2 Years', 29, 2),
(115, 'Krups', 29, 1),
(116, 'Black', 29, 6),
(117, 'Integrated Microwave', 30, 3),
(118, 'Built In', 30, 10),
(119, '22L', 30, 4),
(120, 'Black', 30, 6),
(121, 'Sage', 31, 1),
(122, '2L', 31, 4),
(123, '1500W', 31, 5),
(124, 'Juicer', 31, 3),
(125, 'White', 32, 6),
(126, 'Dyson', 32, 1),
(127, 'Tower Fan', 32, 3),
(128, '2 Years', 32, 2),
(129, 'Sage', 33, 1),
(130, '1.8L', 33, 4),
(131, 'Coffee Maker', 33, 3),
(132, '1 Year', 33, 2),
(133, 'Sage', 34, 1),
(134, '2 Years', 34, 2),
(135, 'Pod Coffee Machine', 34, 3),
(136, '1.5L', 34, 4),
(137, 'Sage', 35, 1),
(138, '2 Years', 35, 2),
(139, 'Pod Coffee Machine', 35, 3),
(140, '1.5L', 35, 4),
(141, 'Sage', 36, 1),
(142, '2 Years', 36, 2),
(143, 'Pod Coffee Machine', 36, 3),
(144, '1.5L', 36, 4),
(145, 'Zyco', 37, 1),
(146, 'Freestanding', 37, 10),
(147, 'Silver', 37, 6),
(148, '580mm', 37, 7),
(149, 'Sage', 38, 1),
(150, '2 Years', 38, 2),
(151, 'Pod Coffee Machine', 38, 3),
(152, '1.5L', 38, 4),
(153, 'Dimplex', 39, 1),
(154, 'Stainless Steel', 39, 6),
(155, 'Commercial Microwave', 39, 3),
(156, '25L', 39, 4),
(157, 'Sage', 40, 1),
(158, '2 Years', 40, 2),
(159, 'Pod Coffee Machine', 40, 3),
(160, '1.5L', 40, 4),
(161, 'Dyson', 41, 1),
(162, 'Fan/Purifier', 41, 3),
(163, '2 Years', 41, 2),
(164, '254mm', 41, 7),
(165, 'Culina', 42, 1),
(166, 'Built In', 42, 10),
(167, 'Stainless Steel', 42, 6),
(168, '595mm', 42, 7),
(169, 'Braun', 43, 1),
(170, 'Black', 43, 6),
(171, '1 Year', 43, 2),
(172, 'Steam Generator Iron', 43, 3),
(173, 'Mira', 44, 1),
(174, 'Electric', 44, 3),
(175, 'White', 44, 6),
(176, 'A', 44, 11),
(177, 'White', 45, 6),
(178, 'Dyson', 45, 1),
(179, 'Desk Fan', 45, 3),
(180, '2 Years', 45, 2),
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(784, 'Bluetooth speaker', 202, 3),
(785, '2 x 30W', 202, 5),
(786, 'VQ', 203, 1),
(787, '1 Year', 203, 2),
(788, 'Retro Radio', 203, 3),
(789, '5W', 203, 5),
(790, 'Oil Free', 204, 3),
(791, '700W', 204, 5),
(792, 'Dimplex', 204, 1),
(793, 'White', 204, 6),
(794, 'George Foreman', 205, 1),
(795, 'Black', 205, 6),
(796, 'Health Grill and Griddle', 205, 3),
(797, '2 Years', 205, 2),
(798, 'Dimplex', 206, 1),
(799, 'Oil Filled Radiator', 206, 3),
(800, '1500W', 206, 5),
(801, 'White', 206, 6),
(802, 'Lavazza', 207, 1),
(803, '2 Years', 207, 2),
(804, 'Pod Coffee Machine', 207, 3),
(805, '0.6L', 207, 4),
(806, 'Akai', 208, 1),
(807, 'Black', 208, 6),
(808, 'HiFi Bluetooth System', 208, 3),
(809, '3 years', 208, 2),
(810, 'Remington', 209, 1),
(811, 'White', 209, 6),
(812, '1 Year', 209, 2),
(813, 'Electric Razor', 209, 3),
(814, 'Tower', 210, 1),
(815, 'Black', 210, 6),
(816, '800W', 210, 5),
(817, '1.7L', 210, 4),
(818, 'Soehnle', 211, 1),
(819, 'Blood Pressure Monitor', 211, 3),
(820, 'Bosch', 212, 1),
(821, '393mm', 212, 8),
(822, '62mm', 212, 7),
(823, '55mm', 212, 9),
(824, 'Nescafe', 213, 1),
(825, 'Black', 213, 6),
(826, '2 Years', 213, 2),
(827, '0.8L', 213, 4),
(828, 'Samsung', 214, 1),
(829, 'Stacking Kit', 214, 3),
(830, 'White', 214, 6),
(831, '605mm', 214, 7),
(832, 'Severin', 215, 1),
(833, 'Black', 215, 6),
(834, '2 Years', 215, 2),
(835, 'Bundle Set', 215, 3),
(836, 'Severin', 216, 1),
(837, 'White', 216, 6),
(838, '2 Years', 216, 2),
(839, 'Bundle Set', 216, 3),
(840, 'Severin', 217, 1),
(841, 'White', 217, 6),
(842, '2 Years', 217, 2),
(843, 'Bundle Set', 217, 3),
(844, 'Severin', 218, 1),
(845, 'Black', 218, 6),
(846, '2 Years', 218, 2),
(847, 'Bundle Set', 218, 3),
(848, 'Beko', 219, 1),
(849, '1 Year', 219, 2),
(850, '3100W', 219, 5),
(851, '0.35L', 219, 4),
(852, 'Steam Iron', 220, 3),
(853, '2400W', 220, 5),
(854, '0.3L', 220, 4),
(855, 'Purple', 220, 6),
(856, 'Cream', 221, 6),
(857, '3 years', 221, 2),
(858, 'Monogram By Beurer', 221, 1),
(859, 'Electric Overblanket', 221, 3),
(860, 'Akai', 222, 1),
(861, 'Black', 222, 6),
(862, 'CD Player/Radio', 222, 3),
(863, '3 years', 222, 2),
(864, 'Russell Hobbs', 223, 1),
(865, 'White', 223, 6),
(866, '1 Year', 223, 2),
(867, '700W', 223, 5),
(868, 'Kitvision', 224, 1),
(869, 'Black', 224, 6),
(870, 'Action Camera', 224, 3),
(871, '1 Year', 224, 2),
(872, 'Steam Iron', 225, 3),
(873, '2800w', 225, 5),
(874, '0.35L', 225, 4),
(875, 'Blue', 225, 6),
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(877, 'Black', 226, 6),
(878, '1100W', 226, 5),
(879, '1.5L', 226, 4),
(880, 'Master', 227, 1),
(881, 'Steam Generator Iron', 227, 3),
(882, '2000W', 227, 5),
(883, '1 Year', 227, 2),
(884, 'Lavazza', 228, 1),
(885, 'Black', 228, 6),
(886, 'Milk Frother', 228, 3),
(887, '2 Years', 228, 2),
(888, 'Philips', 229, 1),
(889, 'Electric Toothbrush', 229, 3),
(890, '2 Years', 229, 2),
(891, 'Ovation', 230, 1),
(892, '800W', 230, 5),
(893, '1.6L', 230, 4),
(894, 'Stainless Steel', 230, 6),
(895, 'Kenwood', 231, 1),
(896, 'Red', 231, 6),
(897, '2', 231, 12),
(898, '2300w', 231, 5),
(899, 'TEFAL', 232, 1),
(900, 'Grey', 232, 6),
(901, '300mm', 232, 7),
(902, '1 Year', 232, 2),
(903, 'Akai', 233, 1),
(904, '10W', 233, 5),
(905, '1 Year', 233, 2),
(906, 'Beurer', 234, 1),
(907, 'White', 234, 6),
(908, 'Gimi', 235, 1),
(909, 'Ironing Board', 235, 3),
(910, 'Jug Kettle', 236, 3),
(911, 'Delonghi', 236, 1),
(912, 'White', 236, 6),
(913, '1 Year', 236, 2),
(914, 'Kenwood', 237, 1),
(915, '1.7L', 237, 4),
(916, 'Jug Kettle', 237, 3),
(917, 'Red', 237, 6),
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(919, 'Severin', 238, 1),
(920, 'Silver', 238, 6),
(921, '2 Years', 238, 2),
(922, 'Russell Hobbs', 239, 1),
(923, 'Toaster', 239, 3),
(924, '4', 239, 12),
(925, 'Stainless Steel', 239, 15),
(926, 'Lavazza', 240, 1),
(927, '180ml', 240, 4),
(928, 'Milk Frother', 240, 3),
(929, 'White', 240, 6),
(930, 'Lavazza', 241, 1),
(931, '180ml', 241, 4),
(932, 'Milk Frother', 241, 3),
(933, 'Red', 241, 6),
(934, 'Steam Iron', 242, 3),
(935, '2400W', 242, 5),
(936, '0.4L', 242, 4),
(937, 'Grey/blue', 242, 6),
(938, 'Steam Iron', 243, 3),
(939, '2,400w', 243, 5),
(940, '400ml', 243, 4),
(941, 'White', 243, 6),
(942, 'HoMedics', 244, 1),
(943, '2 Years', 244, 2),
(944, 'Massage Pillow', 244, 3),
(945, 'Severin', 245, 1),
(946, '1.5L', 245, 4),
(947, '1800W', 245, 5),
(948, '2', 245, 12),
(949, 'Soehnle', 246, 1),
(950, 'Silver', 246, 6),
(951, '3 years', 246, 2),
(952, 'Glass', 246, 15),
(953, 'Morphy Richards', 247, 1),
(954, '4', 247, 12),
(955, '1 Year', 247, 2),
(956, 'Red', 247, 6),
(957, 'Severin', 248, 1),
(958, 'White', 248, 6),
(959, '2 Years', 248, 2),
(960, 'Bundle Pack', 248, 3),
(961, 'White', 249, 6),
(962, 'Pifco', 249, 1),
(963, 'Under Blanket', 249, 3),
(964, '60W', 249, 5),
(965, 'Morphy Richards', 250, 1),
(966, '4', 250, 12),
(967, '1 Year', 250, 2),
(968, 'Silver', 250, 6),
(969, 'Morphy Richards', 251, 1),
(970, 'Black', 251, 6),
(971, '1 Year', 251, 2),
(972, '3000W', 251, 5),
(973, 'Tower', 252, 1),
(974, 'Stainless Steel', 252, 6),
(975, '1000W', 252, 5),
(976, '1.6L', 252, 4),
(977, 'Braun', 253, 1),
(978, 'Black', 253, 6),
(979, 'Electric Razor', 253, 3),
(980, 'White', 254, 6),
(981, 'Pifco', 254, 1),
(982, 'Under Blanket', 254, 3),
(983, 'Gimi', 255, 1),
(984, 'Ironing Board', 255, 3),
(985, 'TCP Smart', 256, 1),
(986, 'Motion Sensor Camera', 256, 3),
(987, 'White', 256, 6),
(988, '2 Years', 256, 2),
(989, 'TEFAL', 257, 1),
(990, 'White', 257, 6),
(991, 'Steamer', 257, 3),
(992, '260 mm', 257, 9),
(993, 'TEFAL', 258, 1),
(994, 'Black', 258, 6),
(995, '290mm', 258, 7),
(996, '240mm', 258, 8),
(997, 'Beko', 259, 1),
(998, 'Steam Iron', 259, 3),
(999, '1 Year', 259, 2),
(1000, '0.35L', 259, 4),
(1001, 'Remington', 260, 1),
(1002, 'Champagne', 260, 6),
(1003, '4 years', 260, 2),
(1004, 'Hair Curler', 260, 3),
(1005, 'TEFAL', 261, 1),
(1006, 'Stainless Steel', 261, 6),
(1007, '250mm', 261, 7),
(1008, 'Delonghi', 262, 1),
(1009, 'White', 262, 6),
(1010, '227mm', 262, 7),
(1011, '265mm', 262, 8),
(1012, 'Ariete', 263, 1),
(1013, 'Cream', 263, 6),
(1014, '810w', 263, 5),
(1015, '2', 263, 12),
(1016, 'Braun', 264, 1),
(1017, 'Hand Blender', 264, 3),
(1018, '600W', 264, 5),
(1019, 'Grey', 264, 6),
(1020, 'Lavazza', 265, 1),
(1021, '2 Years', 265, 2),
(1022, 'Pod Coffee Machine', 265, 3),
(1023, '0.6L', 265, 4),
(1024, 'TEFAL', 266, 1),
(1025, 'Steam Iron', 266, 3),
(1026, '270ml', 266, 4),
(1027, '2400W', 266, 5),
(1028, 'EI Electronics', 267, 1),
(1029, 'Carbon Monoxide Detector', 267, 3),
(1030, 'White', 267, 6),
(1031, '2 Years', 267, 2),
(1032, 'White', 268, 6),
(1033, '3 years', 268, 2),
(1034, 'Electric Underblanket', 268, 3),
(1035, 'Monogram By Beurer', 268, 1),
(1036, 'Russell Hobbs', 269, 1),
(1037, 'White', 269, 6),
(1038, '1 Year', 269, 2),
(1039, '500w', 269, 5),
(1040, 'Jug Kettle', 270, 3),
(1041, 'Delonghi', 270, 1),
(1042, 'Red', 270, 6),
(1043, '1 Year', 270, 2),
(1044, 'Bosch', 271, 1),
(1045, 'White', 271, 6),
(1046, 'Steam Iron', 271, 3),
(1047, '2650w', 271, 5),
(1048, 'Ariete', 272, 1),
(1049, 'Cream', 272, 6),
(1050, 'Jug Kettle', 272, 3),
(1051, '2 Years', 272, 2),
(1052, 'Ariete', 273, 1),
(1053, 'Cream', 273, 6),
(1054, 'Dome Kettle', 273, 3),
(1055, '2 Years', 273, 2),
(1056, 'Oil Filled Radiator', 274, 3),
(1057, '1200W', 274, 5),
(1058, 'Warmlite', 274, 1),
(1059, 'White', 274, 6),
(1060, 'Soehnle', 275, 1),
(1061, 'Blood Pressure Monitor', 275, 3),
(1062, 'Severin', 276, 1),
(1063, 'Stainless Steel', 276, 6),
(1064, '2 Years', 276, 2),
(1065, 'Pancake Maker', 276, 3),
(1066, 'Soehnle', 277, 1),
(1067, 'Silver', 277, 6),
(1068, '3 years', 277, 2),
(1069, 'Glass', 277, 15),
(1070, 'Beurer', 278, 1),
(1071, 'Grey', 278, 6),
(1072, 'Heart Rate Monitor', 278, 3),
(1073, '3 years', 278, 2),
(1074, 'Delonghi', 279, 1),
(1075, 'Cream', 279, 6),
(1076, 'Toaster', 279, 3),
(1077, 'Severin', 280, 1),
(1078, 'Black', 280, 6),
(1079, 'Jug Kettle', 280, 3),
(1080, 'Remington', 281, 1),
(1081, '2 Years', 281, 2),
(1082, 'Electric Razor', 281, 3),
(1083, 'Blue', 281, 6),
(1084, 'Braun', 282, 1),
(1085, 'Black', 282, 6),
(1086, 'Soup Blender', 282, 3),
(1087, 'HoMedics', 283, 1),
(1088, 'Pink', 283, 6),
(1089, '2 Years', 283, 2),
(1090, 'Facial Steamer', 283, 3),
(1091, 'Beurer', 284, 1),
(1092, 'White', 284, 6),
(1093, 'Nebulizer', 284, 3),
(1094, 'Soehnle', 285, 1),
(1095, 'Silver', 285, 6),
(1096, '3 years', 285, 2),
(1097, 'Glass', 285, 15),
(1098, 'Beurer', 286, 1),
(1099, 'Kitchen Scales', 286, 3),
(1100, '5kg', 286, 4),
(1101, 'White', 286, 6),
(1102, 'Ovation', 287, 1),
(1103, 'Hand Blender', 287, 3),
(1104, 'Black', 287, 6),
(1105, '3 years', 287, 2),
(1106, 'Delonghi', 288, 1),
(1107, '1600W', 288, 5),
(1108, '4', 288, 12),
(1109, 'Cream', 288, 6),
(1110, 'Philips', 289, 1),
(1111, 'Pink', 289, 6),
(1112, '2 Years', 289, 2),
(1113, 'Steam Iron', 289, 3),
(1114, 'Severin', 290, 1),
(1115, 'Toaster', 290, 3),
(1116, '1400w', 290, 5),
(1117, '4', 290, 12),
(1118, 'Lava', 291, 1),
(1119, 'Bluetooth speaker', 291, 3),
(1120, '5W', 291, 5),
(1121, 'White', 291, 6),
(1122, 'Lava', 292, 1),
(1123, 'Teal', 292, 6),
(1124, 'Bluetooth speaker', 292, 3),
(1125, '5W', 292, 5),
(1126, 'Russell Hobbs', 293, 1),
(1127, 'Health Grill', 293, 3),
(1128, 'Black', 293, 6),
(1129, 'Steam Iron', 294, 3),
(1130, '2400W', 294, 5),
(1131, '300ml', 294, 4),
(1132, 'Blue', 294, 6),
(1133, 'Bosch', 295, 1),
(1134, '1090w', 295, 5),
(1135, '2', 295, 12),
(1136, 'Silver', 295, 6),
(1137, 'Master', 296, 1),
(1138, 'Stainless Steel', 296, 6),
(1139, '1 Year', 296, 2),
(1140, 'Grill', 296, 3),
(1141, 'Tower', 297, 1),
(1142, 'Black', 297, 6),
(1143, '1 Year', 297, 2),
(1144, 'Air Fryer', 297, 3),
(1145, 'Lava', 298, 1),
(1146, 'Blue', 298, 6),
(1147, 'Bluetooth speaker', 298, 3),
(1148, '5W', 298, 5),
(1149, 'TCP Smart', 299, 1),
(1150, 'WiFi Motion Sensor', 299, 3),
(1151, 'White', 299, 6),
(1152, '2 Years', 299, 2),
(1153, 'TCP Smart', 300, 1),
(1154, 'WiFi Tape Light', 300, 3),
(1155, 'Multicoloured', 300, 6),
(1156, 'Electric Underblanket', 301, 3),
(1157, 'Cream', 301, 6),
(1158, '3 years', 301, 2),
(1159, 'Monogram By Beurer', 301, 1),
(1160, 'Tristar', 302, 1),
(1161, 'Stainless Steel', 302, 6),
(1162, 'Fryer', 302, 3),
(1163, '1 Year', 302, 2),
(1164, 'Remington', 303, 1),
(1165, 'Silver', 303, 6),
(1166, '3 years', 303, 2),
(1167, 'Winterwarm', 304, 1),
(1168, 'White', 304, 6),
(1169, 'Oil radiator', 304, 3),
(1170, 'Remington', 305, 1),
(1171, 'Black', 305, 6),
(1172, '2 Years', 305, 2),
(1173, 'Electric Razor', 305, 3),
(1174, 'Remington', 306, 1),
(1175, 'Black', 306, 6),
(1176, '2 Years', 306, 2),
(1177, 'Tower', 307, 1),
(1178, 'Black', 307, 6),
(1179, 'Sauté Pan', 307, 3),
(1180, 'Delonghi', 308, 1),
(1181, 'White', 308, 6),
(1182, '191mm', 308, 7),
(1183, '279mm', 308, 8),
(1184, 'Akai', 309, 1),
(1185, 'Bluetooth speaker', 309, 3),
(1186, '3w', 309, 5),
(1187, '1 Year', 309, 2),
(1188, 'Tower', 310, 1),
(1189, 'Silver', 310, 6),
(1190, 'Grill', 310, 3),
(1191, '2 Years', 310, 2),
(1192, 'Beurer', 311, 1),
(1193, 'Grey', 311, 6),
(1194, 'Baby Monitor', 311, 3),
(1195, 'Remington', 312, 1),
(1196, 'Hair Dryer', 312, 3),
(1197, 'Blue', 312, 6),
(1198, '2 Years', 312, 2),
(1199, 'Delonghi', 313, 1),
(1200, '4', 313, 12),
(1201, '1 Year', 313, 2),
(1202, 'Red', 313, 6),
(1203, 'Bosch', 314, 1),
(1204, '1.7L', 314, 4),
(1205, '3100W', 314, 5),
(1206, 'Black', 314, 6),
(1207, 'Severin', 315, 1),
(1208, 'Stainless Steel', 315, 6),
(1209, '2 Years', 315, 2),
(1210, 'Juicer', 315, 3),
(1211, 'Soehnle', 316, 1),
(1212, 'Aroma Diffuser', 316, 3),
(1213, 'Coby', 317, 1),
(1214, 'Combo Pack', 317, 3),
(1215, 'White', 317, 6),
(1216, 'Tower', 318, 1),
(1217, 'Stainless Steel', 318, 6),
(1218, 'Buffet Server', 318, 3),
(1219, '1 Year', 318, 2),
(1220, 'Tower', 319, 1),
(1221, 'Plate Warmer', 319, 3),
(1222, '1 Year', 319, 2),
(1223, 'Black', 319, 6),
(1224, 'White', 320, 6),
(1225, 'Warmlite', 320, 1),
(1226, 'Ceramic Heater', 320, 3),
(1227, 'C', 320, 11),
(1228, 'Philips', 321, 1),
(1229, 'White', 321, 6),
(1230, '2 Years', 321, 2),
(1231, 'Blender', 321, 3),
(1232, 'Kenwood', 322, 1),
(1233, '2', 322, 12),
(1234, '1 Year', 322, 2),
(1235, 'Stainless Steel', 322, 6),
(1236, 'Braun', 323, 1),
(1237, 'Hand Blender', 323, 16),
(1238, '550w', 323, 5),
(1239, 'White', 323, 6),
(1240, 'Brita', 324, 1),
(1241, 'Water Filter Cartridge', 324, 3),
(1242, '30 Days', 324, 2),
(1243, 'Mira', 325, 1),
(1244, 'Shower Hose', 325, 3),
(1245, 'Chrome', 325, 6),
(1246, 'Severin', 326, 1),
(1247, 'Tabletop', 326, 10),
(1248, '460mm', 326, 7),
(1249, '77mm', 326, 8),
(1250, 'Severin', 327, 1),
(1251, 'Stainless Steel', 327, 6),
(1252, '2 Years', 327, 2),
(1253, 'Fondue Set', 327, 3),
(1254, 'Lava', 328, 1),
(1255, 'Pink', 328, 6),
(1256, 'Bluetooth speaker', 328, 3),
(1257, '5W', 328, 5),
(1258, 'Severin', 329, 1),
(1259, 'Black', 329, 6),
(1260, '2 Years', 329, 2),
(1261, 'Espresso Maker', 329, 3),
(1262, 'Soehnle', 330, 1),
(1263, 'Aroma Diffuser', 330, 3),
(1264, 'Daewoo', 331, 1),
(1265, 'White', 331, 6),
(1266, '2000W', 331, 5),
(1267, '675mm', 331, 7),
(1268, 'Tristar', 332, 1),
(1269, 'Stainless Steel', 332, 6),
(1270, '2000W', 332, 5),
(1271, '3L', 332, 4),
(1272, 'Beurer', 333, 1),
(1273, 'Kitchen Scales', 333, 3),
(1274, 'Plastic', 333, 15),
(1275, '5 Years', 333, 2),
(1276, 'Philips', 334, 1),
(1277, 'Black', 334, 6),
(1278, '142mm', 334, 8),
(1279, '150mm', 334, 7),
(1280, 'Philips', 335, 1),
(1281, 'White', 335, 6),
(1282, '142mm', 335, 8),
(1283, '150mm', 335, 7),
(1284, 'One For All', 336, 1),
(1285, 'White', 336, 6),
(1286, 'Bluetooth Receiver', 336, 3),
(1287, '2 Years', 336, 2),
(1288, 'Beko', 337, 1),
(1289, 'Coffe Maker', 337, 3),
(1290, '1.8L', 337, 4),
(1291, '1 Year', 337, 2),
(1292, 'Russell Hobbs', 338, 1),
(1293, '4', 338, 12),
(1294, '2 Years', 338, 2),
(1295, 'White', 338, 6),
(1296, 'Prem I Air', 339, 1),
(1297, 'Floor Fan', 339, 3),
(1298, '560mm', 339, 7),
(1299, '215mm', 339, 9),
(1300, 'Severin', 340, 1),
(1301, 'Stainless Steel', 340, 6),
(1302, '2 Years', 340, 2),
(1303, 'Jug Kettle', 340, 3),
(1304, 'White', 341, 6),
(1305, 'Dimplex', 341, 1),
(1306, 'Electric Fan Heater', 341, 3),
(1307, '3000W', 341, 5),
(1308, 'Severin', 342, 1),
(1309, 'Black', 342, 6),
(1310, '2 Years', 342, 2),
(1311, '1.7L', 342, 4),
(1312, 'Severin', 343, 1),
(1313, 'Rice Cooker', 343, 3),
(1314, 'Stainless Steel', 343, 6),
(1315, '2 Years', 343, 2),
(1316, 'Severin', 344, 1),
(1317, 'Tabletop', 344, 10),
(1318, 'Black', 344, 6),
(1319, '358mm', 344, 7),
(1320, 'Soehnle', 345, 1),
(1321, 'Black', 345, 6),
(1322, 'Chest Belt', 345, 3),
(1323, 'BaByliss', 346, 1),
(1324, 'Black', 346, 6),
(1325, '3 years', 346, 2),
(1326, 'Hot Air Styler', 346, 3),
(1327, 'El Shannon', 347, 1),
(1328, 'Fire Blanket & Extinguisher', 347, 3),
(1329, 'Dome Kettle', 348, 3),
(1330, 'Russell Hobbs', 348, 1),
(1331, 'Stainless Steel', 348, 6),
(1332, '1 Year', 348, 2),
(1333, 'Severin', 349, 1),
(1334, 'White', 349, 6),
(1335, '2 Years', 349, 2),
(1336, '1.7L', 349, 4),
(1337, 'Bosch', 350, 1),
(1338, '1.7L', 350, 4),
(1339, '3100W', 350, 5),
(1340, 'White', 350, 6),
(1341, 'Elgento', 351, 1),
(1342, 'Black', 351, 6),
(1343, '2 Years', 351, 2),
(1344, 'Electric', 351, 14),
(1345, 'Remington', 352, 1),
(1346, 'Orange', 352, 6),
(1347, '2 Years', 352, 2),
(1348, 'Electric Razor', 352, 3),
(1349, 'Russell Hobbs', 353, 1),
(1350, 'Black', 353, 6),
(1351, '1800W', 353, 5),
(1352, '2.5L', 353, 4),
(1353, 'Gimi', 354, 1),
(1354, 'Ironing Board', 354, 3),
(1355, 'StayWarm', 355, 1),
(1356, 'White', 355, 6),
(1357, '1200mm', 355, 7),
(1358, '1300mm', 355, 9),
(1359, 'Akai', 356, 1),
(1360, 'Red', 356, 6),
(1361, '3 years', 356, 2),
(1362, 'Bluetooth speaker', 356, 3),
(1363, 'Beurer', 357, 1),
(1364, 'Blood Pressure Monitor', 357, 3),
(1365, 'White', 357, 6),
(1366, '5 Years', 357, 2),
(1367, 'Akai', 358, 1),
(1368, 'Cream', 358, 6),
(1369, '3 years', 358, 2),
(1370, 'Bluetooth speaker', 358, 3),
(1371, 'White', 359, 6),
(1372, 'Warmlite', 359, 1),
(1373, 'Under Blanket', 359, 3),
(1374, '1 Year', 360, 2),
(1375, 'Delonghi', 360, 1),
(1376, 'Black', 360, 6),
(1377, 'Coffee Grinder', 360, 3),
(1378, 'Tristar', 361, 1),
(1379, 'White', 361, 6),
(1380, 'Mini Hob', 361, 3),
(1381, '2 Years', 361, 2),
(1382, 'TEFAL', 362, 1),
(1383, 'Black', 362, 6),
(1384, 'Rice Cooker', 362, 3),
(1385, '1.8 L', 362, 4),
(1386, 'Russell Hobbs', 363, 1),
(1387, '2', 363, 12),
(1388, '1 Year', 363, 2),
(1389, 'Cream', 363, 6),
(1390, 'Braun', 364, 1),
(1391, '2', 364, 12),
(1392, 'White', 364, 6),
(1393, '2 Years', 364, 2),
(1394, 'Action Camera', 365, 3),
(1395, 'Black', 365, 6),
(1396, '2 Years', 365, 2),
(1397, '60mm', 365, 7),
(1398, 'Severin', 366, 1),
(1399, 'White', 366, 6),
(1400, '2 Years', 366, 2),
(1401, '600ml', 366, 4),
(1402, 'Russell Hobbs', 367, 1),
(1403, '1.7 L', 367, 4),
(1404, 'Jug Kettle', 367, 3),
(1405, 'Red', 367, 6),
(1406, 'Bosch', 368, 1),
(1407, 'White', 368, 6),
(1408, '2 Years', 368, 2),
(1409, '400w', 368, 5),
(1410, 'Beurer', 369, 1),
(1411, 'Blood Pressure Monitor', 369, 3),
(1412, '5 Years', 369, 2),
(1413, 'Silver', 369, 6),
(1414, 'Lloytron', 370, 1),
(1415, 'Freestanding', 370, 10),
(1416, 'White', 370, 6),
(1417, '535mm', 370, 7),
(1418, 'TEFAL', 371, 1),
(1419, '280mm', 371, 7),
(1420, '1 Year', 371, 2),
(1421, 'Stainless Steel', 371, 6),
(1422, 'Akai', 372, 1),
(1423, 'Black', 372, 6),
(1424, '1 Year', 372, 2),
(1425, 'Tower', 373, 1),
(1426, 'Stainless Steel', 373, 6),
(1427, 'Slow Cooker', 373, 3),
(1428, '1 Year', 373, 2),
(1429, 'Bosch', 374, 1),
(1430, '208mm', 374, 7),
(1431, '154mm', 374, 8),
(1432, '74mm', 374, 9),
(1433, 'Beurer', 375, 1),
(1434, 'Black', 375, 6),
(1435, '275mm', 375, 8),
(1436, '36mm', 375, 7),
(1437, 'Russell Hobbs', 376, 1),
(1438, 'Sandwich Toaster', 376, 3),
(1439, '2 Years', 376, 2),
(1440, '1400w', 376, 5),
(1441, 'Mira', 377, 1),
(1442, 'Shower Hose', 377, 3),
(1443, 'Chrome', 377, 6),
(1444, 'Tower', 378, 1),
(1445, '4', 378, 12),
(1446, 'Black', 378, 6),
(1447, '1 Year', 378, 2),
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(1450, '1 Year', 379, 2),
(1451, '1.7L', 379, 4),
(1452, 'BaByliss', 380, 1),
(1453, 'Red', 380, 6),
(1454, '3 years', 380, 2),
(1455, 'Hair Clippers', 380, 3),
(1456, 'Beko', 381, 1),
(1457, 'Toaster', 381, 3),
(1458, '2', 381, 12),
(1459, '1 Year', 381, 2),
(1460, 'Ovation', 382, 1),
(1461, 'Blender', 382, 3),
(1462, 'Blue', 382, 6),
(1463, '0.6L', 382, 4),
(1464, 'Kenwood', 383, 1),
(1465, 'Silver', 383, 6),
(1466, '1 Year', 383, 2),
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(1468, 'Russell Hobbs', 384, 1),
(1469, '2', 384, 12),
(1470, '2 Years', 384, 2),
(1471, 'Cream', 384, 6),
(1472, 'Elgento', 385, 1),
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(1475, '2 Years', 385, 2),
(1476, 'TEFAL', 386, 1),
(1477, '240mm', 386, 7),
(1478, '1 Year', 386, 2),
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(1480, 'Severin', 387, 1),
(1481, 'Stainless Steel', 387, 6),
(1482, '2 Years', 387, 2),
(1483, 'Coffee Maker', 387, 3),
(1484, 'Tower', 388, 1),
(1485, '1 Year', 388, 2),
(1486, '900W', 388, 5),
(1487, '2', 388, 12),
(1488, 'Nedis', 389, 1),
(1489, 'Gun Metal', 389, 6),
(1490, 'Bluetooth speaker', 389, 3),
(1491, '15W', 389, 5),
(1492, 'Beko', 390, 1),
(1493, 'Toaster', 390, 3),
(1494, '870W', 390, 5),
(1495, '2', 390, 12),
(1496, 'TCP Smart', 391, 1),
(1497, 'Smart Downlight', 391, 3),
(1498, 'White', 391, 6),
(1499, '2 Years', 391, 2),
(1500, 'Beurer', 392, 1),
(1501, 'Black', 392, 6),
(1502, '210mm', 392, 9),
(1503, '80mm', 392, 7),
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(1505, '2 Years', 393, 2),
(1506, '2', 393, 12),
(1507, '800W', 393, 5),
(1508, 'Universal', 394, 1),
(1509, 'Stacking Kit', 394, 3),
(1510, 'White', 394, 6),
(1511, '600mm', 394, 7),
(1512, 'Severin', 395, 1),
(1513, 'Pancake Maker', 395, 3),
(1514, '2 Years', 395, 2),
(1515, 'Black', 395, 6),
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(1518, '1 Year', 396, 2),
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(1521, 'Braun', 397, 1),
(1522, 'White', 397, 6),
(1523, '1 Year', 397, 2),
(1524, 'Severin', 398, 1),
(1525, '2 Years', 398, 2),
(1526, 'Bundle Set', 398, 3),
(1527, 'Beldray', 399, 1),
(1528, 'Electric Underblanket', 399, 3),
(1529, 'Polyester', 399, 15),
(1530, '60W', 399, 5),
(1531, 'Beko', 400, 1),
(1532, 'Toaster', 400, 3),
(1533, '800W', 400, 5),
(1534, '4', 400, 12),
(1535, 'HoMedics', 401, 1),
(1536, 'White', 401, 6),
(1537, '2 Years', 401, 2),
(1538, 'Dimming Mirror', 401, 3),
(1539, 'Russell Hobbs', 402, 1),
(1540, '2', 402, 12),
(1541, '2 Years', 402, 2),
(1542, 'Stainless Steel', 402, 6),
(1543, 'Philips', 403, 1),
(1544, 'Black', 403, 6),
(1545, '1 Year', 403, 2),
(1546, 'Clock Radio', 403, 3),
(1547, 'One For All', 404, 1),
(1548, 'Black', 404, 6),
(1549, '1 Year', 404, 2),
(1550, 'HDMI Switch', 404, 3),
(1551, 'Severin', 405, 1),
(1552, 'Tabletop', 405, 10),
(1553, 'White', 405, 6),
(1554, '250mm', 405, 7),
(1555, 'Sage', 406, 1),
(1556, 'Temperature Control Milk Jug', 406, 3),
(1557, '1 Year', 406, 2),
(1558, '0.48l', 406, 4),
(1559, 'Coby', 407, 1),
(1560, 'Wireless Headphones', 407, 3),
(1561, 'White', 407, 6),
(1562, 'Coby', 408, 1),
(1563, 'Red', 408, 6),
(1564, 'Wireless Headphones', 408, 3),
(1565, 'Beurer', 409, 1),
(1566, 'Cream', 409, 6),
(1567, 'Electric Underblanket', 409, 3),
(1568, '720mm', 409, 7),
(1569, 'Tower', 410, 1),
(1570, '5L', 410, 4),
(1571, 'Stainless Steel', 410, 6),
(1572, '1 Year', 410, 2),
(1573, 'White', 411, 6),
(1574, 'Dimplex', 411, 1),
(1575, 'Electric Fan Heater', 411, 3),
(1576, '2000W', 411, 5),
(1577, 'Akai', 412, 1),
(1578, '2 X 5W', 412, 5),
(1579, 'Assorted', 412, 6),
(1580, '1 Year', 412, 2),
(1581, 'Akai', 413, 1),
(1582, 'Black', 413, 6),
(1583, 'Blu-ray and DVD Players', 413, 3),
(1584, '1 Year', 413, 2),
(1585, 'Morphy Richards', 414, 1),
(1586, '2', 414, 12),
(1587, '1 Year', 414, 2),
(1588, 'Cream', 414, 6),
(1589, 'Akai', 415, 1),
(1590, '5W', 415, 5),
(1591, 'Philips', 416, 1),
(1592, 'Steam Iron', 416, 3),
(1593, 'Blue', 416, 6),
(1594, '2 Years', 416, 2),
(1595, 'Severin', 417, 1),
(1596, '2L', 417, 4),
(1597, '2200W', 417, 5),
(1598, 'Jug Kettle', 417, 3),
(1599, 'White', 418, 6),
(1600, 'Mini Processor', 418, 3),
(1601, 'TEFAL', 418, 1),
(1602, '1 Year', 418, 2),
(1603, 'Angel Eye', 419, 1),
(1604, 'White', 419, 6),
(1605, 'Carbon Monoxide Detector', 419, 3),
(1606, '7 Years', 419, 2),
(1607, 'EI Electronics', 420, 1),
(1608, 'Fire Safety Kit', 420, 3),
(1609, 'Silver', 420, 6),
(1610, 'Brabantia', 421, 1),
(1611, 'Coffee Pod Holder', 421, 3),
(1612, '120mm', 421, 9),
(1613, '120mm', 421, 7),
(1614, 'Brabantia', 422, 1),
(1615, 'White', 422, 6),
(1616, '10 years', 422, 2),
(1617, '205mm', 422, 7),
(1618, 'Brabantia', 423, 1),
(1619, 'Sleeve Iron', 423, 3),
(1620, 'White', 423, 6),
(1621, '130mm', 423, 8),
(1622, 'Brabantia', 424, 1),
(1623, '10 years', 424, 2),
(1624, '205mm', 424, 7),
(1625, '291mm', 424, 8),
(1626, 'StayWarm', 425, 1),
(1627, 'White', 425, 6),
(1628, 'Electric Underblanket', 425, 3),
(1629, '1070mm', 425, 7),
(1630, 'Beurer', 426, 1),
(1631, 'Black', 426, 6),
(1632, '259mm', 426, 8),
(1633, '80mm', 426, 7),
(1634, 'Philips', 427, 1),
(1635, 'Black', 427, 6),
(1636, 'Body Groomer', 427, 3),
(1637, '2 Years', 427, 2),
(1638, 'White', 428, 6),
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(1640, '70W', 428, 5),
(1641, '1200mm', 428, 7),
(1642, 'Mira', 429, 1),
(1643, 'White', 429, 6),
(1644, 'Shower Head', 429, 3),
(1645, 'Itek', 430, 1),
(1646, 'Black', 430, 6),
(1647, 'Dash Cam', 430, 3),
(1648, 'Severin', 431, 1),
(1649, '2 Years', 431, 2),
(1650, 'Steam Iron', 431, 3),
(1651, '190ml', 431, 4),
(1652, 'Tower', 432, 1),
(1653, 'Stainless Steel', 432, 6),
(1654, '1 Year', 432, 2),
(1655, 'Hand Mixer', 432, 3),
(1656, 'Beko', 433, 1),
(1657, '1 Year', 433, 2),
(1658, '1.7L', 433, 4),
(1659, '3000W', 433, 5),
(1660, 'Crock Pot', 434, 1),
(1661, 'Black', 434, 6),
(1662, '2 Years', 434, 2),
(1663, 'Slow Cooker', 434, 3),
(1664, 'Philips', 435, 1),
(1665, '2', 435, 12),
(1666, 'White', 435, 6),
(1667, '210mm', 435, 7),
(1668, 'Kenwood', 436, 1),
(1669, 'White', 436, 6),
(1670, '1 Year', 436, 2),
(1671, '280W', 436, 5),
(1672, 'TEFAL', 437, 1),
(1673, '200mm', 437, 7),
(1674, '1 Year', 437, 2),
(1675, 'Stainless Steel', 437, 6),
(1676, 'Framar', 438, 1),
(1677, 'Ironing Board', 438, 3),
(1678, '3 years', 438, 2),
(1679, 'Beko', 439, 1),
(1680, 'Steam Iron', 439, 3),
(1681, '1 Year', 439, 2),
(1682, '2400W', 439, 5),
(1683, 'TCP Smart', 440, 1),
(1684, 'WiFi LED Bulb', 440, 3),
(1685, 'Multicoloured', 440, 6),
(1686, '2 Years', 440, 2),
(1687, 'TCP Smart', 441, 1),
(1688, 'WiFi Filament Bulb', 441, 3),
(1689, '2 Years', 441, 2),
(1690, 'TCP', 442, 1),
(1691, 'WiFi Filament Bulb', 442, 3),
(1692, '2 Years', 442, 2),
(1693, 'Beurer', 443, 1),
(1694, 'Black', 443, 6),
(1695, '229mm', 443, 9),
(1696, '54mm', 443, 8),
(1697, 'Jug Kettle', 444, 3),
(1698, 'Russell Hobbs', 444, 1),
(1699, 'White', 444, 6),
(1700, '2 Years', 444, 2),
(1701, 'Carbon Monoxide Alarm', 445, 3),
(1702, 'El Shannon', 445, 1),
(1703, 'White', 445, 6),
(1704, '5 Years', 445, 2),
(1705, 'TEFAL', 446, 1),
(1706, 'Winterwarm', 447, 1),
(1707, '2000W', 447, 5),
(1708, 'Electric Fan Heater', 447, 3),
(1709, 'White', 447, 6),
(1710, 'Akai', 448, 1),
(1711, '205mm', 448, 7),
(1712, '120mm', 448, 8),
(1713, '51mm', 448, 9),
(1714, 'Severin', 449, 1),
(1715, 'White', 449, 6),
(1716, '2 Years', 449, 2),
(1717, 'Coffee Maker', 449, 3),
(1718, 'Tower', 450, 1),
(1719, 'Black', 450, 6),
(1720, '1 Year', 450, 2),
(1721, '900W', 450, 5),
(1722, 'Beko', 451, 1),
(1723, 'Toaster', 451, 3),
(1724, '800W', 451, 5),
(1725, '2', 451, 12),
(1726, 'TCP', 452, 1),
(1727, 'Smart Bulb', 452, 3),
(1728, '1 Year', 452, 2),
(1729, 'Beurer', 453, 1),
(1730, 'White', 453, 6),
(1731, 'Kitchen Scales', 453, 3),
(1732, 'Beurer', 454, 1),
(1733, 'Facial Steamer', 454, 3),
(1734, '120w', 454, 5),
(1735, 'Silver', 454, 6),
(1736, 'Morphy Richards', 455, 1),
(1737, '1 Year', 455, 2),
(1738, '2', 455, 12),
(1739, '850W', 455, 5),
(1740, 'Russell Hobbs', 456, 1),
(1741, 'Silver', 456, 6),
(1742, '1 Year', 456, 2),
(1743, '1L', 456, 4),
(1744, 'Philips', 457, 1),
(1745, 'Portable Speaker', 457, 3),
(1746, 'Grey', 457, 6),
(1747, 'Gimi', 458, 1),
(1748, 'Ironing Board', 458, 3),
(1749, 'Convector Heater', 459, 3),
(1750, '2000W', 459, 5),
(1751, '200mm', 459, 7),
(1752, '385mm', 459, 8),
(1753, 'Goobay', 460, 1),
(1754, 'Power Bank', 460, 3),
(1755, '1 Year', 460, 2),
(1756, 'Black', 460, 6),
(1757, 'BaByliss', 461, 1),
(1758, 'Red', 461, 6),
(1759, '3 years', 461, 2),
(1760, 'Hair Curler', 461, 3),
(1761, 'Nedis', 462, 1),
(1762, 'Gun Metal', 462, 6),
(1763, 'Bluetooth speaker', 462, 3),
(1764, '9W', 462, 5),
(1765, 'Philips', 463, 1),
(1766, '220ml', 463, 4),
(1767, '2000W', 463, 5),
(1768, 'Steam Iron', 463, 3),
(1769, 'Beurer', 464, 1),
(1770, 'Heat Lamp', 464, 3),
(1771, '150W', 464, 5),
(1772, 'White', 464, 6),
(1773, 'TCP Smart', 465, 1),
(1774, 'Smart Plug', 465, 3),
(1775, 'White', 465, 6),
(1776, '2 Years', 465, 2),
(1777, 'Morphy Richards', 466, 1),
(1778, '4', 466, 12),
(1779, '1 Year', 466, 2),
(1780, 'White', 466, 6),
(1781, 'Morphy Richards', 467, 1),
(1782, '4', 467, 12),
(1783, '1 Year', 467, 2),
(1784, 'Black', 467, 6),
(1785, 'Daewoo', 468, 1),
(1786, 'Convector Heater', 468, 3),
(1787, '2000W', 468, 5),
(1788, 'White', 468, 6),
(1789, 'Tower', 469, 1),
(1790, 'Jug Kettle', 469, 3),
(1791, '1 Year', 469, 2),
(1792, '1.7L', 469, 4),
(1793, 'TCP Smart', 470, 1),
(1794, 'WiFi LED Bulb', 470, 3),
(1795, 'Multicoloured', 470, 6),
(1796, '2 Years', 470, 2),
(1797, 'Remington', 471, 1),
(1798, 'White', 471, 6),
(1799, '2 Years', 471, 2),
(1800, 'Bikini Trimmer', 471, 3),
(1801, 'White', 472, 6),
(1802, '700mm', 472, 7),
(1803, '1500mm', 472, 9),
(1804, 'Electric Underblanket', 472, 3),
(1805, 'Philips', 473, 1),
(1806, '2', 473, 12),
(1807, '2 Years', 473, 2),
(1808, 'Black', 473, 6),
(1809, 'Elgento', 474, 1),
(1810, '300W', 474, 5),
(1811, 'Blender', 474, 3),
(1812, 'White', 474, 6),
(1813, 'Master', 475, 1),
(1814, '1 Year', 475, 2),
(1815, '2100w', 475, 5),
(1816, 'Brown', 475, 6),
(1817, 'Toshiba', 476, 1),
(1818, 'Blue', 476, 6),
(1819, 'Headphones', 476, 3),
(1820, '1 Year', 476, 2),
(1821, 'Toshiba', 477, 1),
(1822, 'Red', 477, 6),
(1823, 'Headphones', 477, 3),
(1824, '1 Year', 477, 2),
(1825, 'EI Electronics', 478, 1),
(1826, 'Smoke Alarm', 478, 3),
(1827, 'White', 478, 6),
(1828, '5 Years', 478, 2),
(1829, 'Toshiba', 479, 1),
(1830, 'Black', 479, 6),
(1831, 'Headphones', 479, 3),
(1832, '1 Year', 479, 2),
(1833, 'White', 480, 6),
(1834, 'Warmlite', 480, 1),
(1835, 'Under Blanket', 480, 3),
(1836, '2 Years', 480, 2),
(1837, 'Akai', 481, 1),
(1838, 'Black', 481, 6),
(1839, '1 Year', 481, 2),
(1840, 'Bluetooth speaker', 481, 3),
(1841, 'Severin', 482, 1),
(1842, 'Grey', 482, 6),
(1843, '2 Years', 482, 2),
(1844, 'Health Grill', 482, 3),
(1845, 'Tower', 483, 1),
(1846, 'Black', 483, 6),
(1847, '1 Year', 483, 2),
(1848, 'Carving Knife', 483, 3),
(1849, 'Soehnle', 484, 1),
(1850, 'Silver', 484, 6),
(1851, '3 years', 484, 2),
(1852, 'Glass', 484, 15),
(1853, 'Brabantia', 485, 1),
(1854, 'Iron Store', 485, 3),
(1855, 'Black', 485, 6),
(1856, '210mm', 485, 8),
(1857, 'Severin', 486, 1),
(1858, 'Black', 486, 6),
(1859, '2 Years', 486, 2),
(1860, 'Coffee Maker', 486, 3),
(1861, 'Remington', 487, 1),
(1862, 'Black', 487, 6),
(1863, '2000W', 487, 5),
(1864, '2 Years', 487, 2),
(1865, 'Kenwood', 488, 1),
(1866, 'White', 488, 6),
(1867, '100W', 488, 5),
(1868, 'Carving Knife', 488, 3),
(1869, 'Kenwood', 489, 1),
(1870, '2', 489, 12),
(1871, '1 Year', 489, 2),
(1872, 'White', 489, 6),
(1873, 'OTL', 490, 1),
(1874, 'Purple', 490, 6),
(1875, 'Headphones', 490, 3),
(1876, 'EI Electronics', 491, 1),
(1877, 'Fire Extinguisher', 491, 3),
(1878, 'Red', 491, 6),
(1879, 'Brabantia', 492, 1),
(1880, 'Light Grey', 492, 6),
(1881, '5 Years', 492, 2),
(1882, '5kg', 492, 4),
(1883, 'Jug Kettle', 493, 3),
(1884, 'Morphy Richards', 493, 1),
(1885, '2 Years', 493, 2),
(1886, 'White', 493, 6),
(1887, 'Master', 494, 1),
(1888, 'Blue', 494, 6),
(1889, 'Jug Kettle', 494, 3),
(1890, '2200W', 494, 5),
(1891, 'BaByliss', 495, 1),
(1892, 'Black', 495, 6),
(1893, '3 years', 495, 2),
(1894, 'Hair Dryer', 495, 3),
(1895, 'Beldray', 496, 1),
(1896, 'Electric Underblanket', 496, 3),
(1897, 'Polyester', 496, 15),
(1898, '35W', 496, 5),
(1899, 'BaByliss', 497, 1),
(1900, 'Black', 497, 6),
(1901, '3 years', 497, 2),
(1902, 'Hair Curler', 497, 3),
(1903, 'Carmen', 498, 1),
(1904, '3 years', 498, 2),
(1905, 'Hair Dryer', 498, 3),
(1906, '2200W', 498, 5),
(1907, 'Jug Kettle', 499, 3),
(1908, 'Elgento', 499, 1),
(1909, 'White', 499, 6),
(1910, '2 Years', 499, 2),
(1911, 'White', 500, 6),
(1912, 'Kenwood', 500, 1),
(1913, '1 Year', 500, 2),
(1914, 'Chopper', 500, 3),
(1915, 'White', 501, 6),
(1916, '600W', 501, 5),
(1917, 'Hand Blender', 501, 3),
(1918, '1 Year', 501, 2),
(1919, 'Steam Iron', 502, 3),
(1920, '2200W', 502, 5),
(1921, '0.25L', 502, 4),
(1922, 'Green', 502, 6),
(1923, 'Russell Hobbs', 503, 1),
(1924, 'White', 503, 6),
(1925, '120w', 503, 5),
(1926, 'Carving Knife', 503, 3),
(1927, 'White', 504, 6),
(1928, 'Pifco', 504, 1),
(1929, 'Fan Heater', 504, 3),
(1930, '2000W', 504, 5),
(1931, 'Lloytron', 505, 1),
(1932, '4', 505, 12),
(1933, 'White', 505, 6),
(1934, '2 Years', 505, 2),
(1935, 'Beurer', 506, 1),
(1936, 'Stainless Steel', 506, 6),
(1937, 'Kitchen Scales', 506, 3),
(1938, '3kg', 506, 4),
(1939, 'Russell Hobbs', 507, 1),
(1940, '2', 507, 12),
(1941, '2 Years', 507, 2),
(1942, 'White', 507, 6),
(1943, 'Soehnle', 508, 1),
(1944, '5 Years', 508, 2),
(1945, 'Bathroom Scales', 508, 3),
(1946, 'Glass', 508, 15),
(1947, 'Tower', 509, 1),
(1948, 'Black', 509, 6),
(1949, '1 Year', 509, 2),
(1950, 'Jug Kettle', 509, 3),
(1951, 'Jug Kettle', 510, 3),
(1952, 'Swan', 510, 1),
(1953, 'White', 510, 6),
(1954, '2 Years', 510, 2),
(1955, 'Jug Kettle', 511, 3),
(1956, 'Swan', 511, 1),
(1957, 'Black', 511, 6),
(1958, '2 Years', 511, 2),
(1959, 'Cream', 512, 6),
(1960, 'Swan', 512, 1),
(1961, 'Plastic', 512, 15),
(1962, 'Jug Kettle', 512, 3),
(1963, 'Soehnle', 513, 1),
(1964, 'Black', 513, 6),
(1965, '5 Years', 513, 2),
(1966, 'Glass', 513, 15),
(1967, 'Travel kettle', 514, 3),
(1968, 'Swan', 514, 1),
(1969, '2 Years', 514, 2),
(1970, '1000W', 514, 5),
(1971, '2 Years', 515, 2),
(1972, 'Swan', 515, 1),
(1973, 'White', 515, 6),
(1974, 'Coffee Grinder', 515, 3),
(1975, 'Remington', 516, 1),
(1976, '2 Years', 516, 2),
(1977, 'Purple', 516, 6),
(1978, 'OTL', 517, 1),
(1979, 'Pink', 517, 6),
(1980, 'Headphones', 517, 3),
(1981, 'Russell Hobbs', 518, 1),
(1982, 'Black', 518, 6),
(1983, '210mm', 518, 7),
(1984, '80mm', 518, 8),
(1985, 'Daewoo', 519, 1),
(1986, 'White', 519, 6),
(1987, 'Electric', 519, 14),
(1988, 'Electric Fan Heater', 519, 3),
(1989, '2 Years', 520, 2),
(1990, 'Lloytron', 520, 1),
(1991, 'Stainless Steel', 520, 6),
(1992, 'Coffee Grinder', 520, 3),
(1993, 'Philips', 521, 1),
(1994, 'White', 522, 6),
(1995, 'Warmlite', 522, 1),
(1996, 'Fan Heater', 522, 3),
(1997, '2000W', 522, 5),
(1998, 'Lloytron', 523, 1),
(1999, 'Freestanding', 523, 10),
(2000, 'White', 523, 6),
(2001, '210mm', 523, 7),
(2002, 'Soehnle', 524, 1),
(2003, 'White', 524, 6),
(2004, 'Bathroom Scales', 524, 3),
(2005, '3 years', 524, 2),
(2006, 'Severin', 525, 1),
(2007, 'White/Green', 525, 6),
(2008, '2 Years', 525, 2),
(2009, 'Steam Iron', 525, 3),
(2010, 'TCP', 526, 1),
(2011, 'Smart WiFi Bulb', 526, 3),
(2012, '2 Years', 526, 2),
(2013, 'Brita', 527, 1),
(2014, 'Water Filter Cartridge', 527, 3),
(2015, '30 Days', 527, 2),
(2016, 'Master', 528, 1),
(2017, 'White', 528, 6),
(2018, '2200W', 528, 5),
(2019, '1.7L', 528, 4);
INSERT INTO `product_property` (`id`, `content`, `product_id`, `property_id`) VALUES
(2020, 'Soehnle', 529, 1),
(2021, 'Silver', 529, 6),
(2022, '5 Years', 529, 2),
(2023, 'Glass', 529, 15),
(2024, 'Russell Hobbs', 530, 1),
(2025, 'White', 530, 6),
(2026, '0.8L', 530, 4),
(2027, '1000W', 530, 5),
(2028, 'Russell Hobbs', 531, 1),
(2029, 'White', 531, 6),
(2030, '120w', 531, 5),
(2031, 'Carving Knife', 531, 3),
(2032, 'Elgento', 532, 1),
(2033, 'White', 532, 6),
(2034, '2 Years', 532, 2),
(2035, 'Jug Kettle', 532, 3),
(2036, 'Goobay', 533, 1),
(2037, 'Power Bank', 533, 3),
(2038, '1 Year', 533, 2),
(2039, 'Black', 533, 6),
(2040, 'Carmen', 534, 1),
(2041, 'LED Illuminated Mirror', 534, 3),
(2042, 'Black', 534, 6),
(2043, '165mm', 534, 7),
(2044, 'EI Electronics', 535, 1),
(2045, 'Smoke Alarm', 535, 3),
(2046, 'White', 535, 6),
(2047, '5 Years', 535, 2),
(2048, 'Remington', 536, 1),
(2049, '2200W', 536, 5),
(2050, '1 Year', 536, 2),
(2051, 'Hair Dryer', 536, 3),
(2052, 'Jug Kettle', 537, 3),
(2053, 'Morphy Richards', 537, 1),
(2054, '2 Years', 537, 2),
(2055, 'Black', 537, 6),
(2056, 'Lloytron', 538, 1),
(2057, 'Black', 538, 6),
(2058, 'Sandwich Toaster', 538, 3),
(2059, 'Carmen', 539, 1),
(2060, '2000W', 539, 5),
(2061, 'Hair Dryer', 539, 3),
(2062, 'Black', 539, 6),
(2063, 'Swan', 540, 1),
(2064, 'Purple', 540, 6),
(2065, '2 Years', 540, 2),
(2066, 'Travel Iron', 540, 3),
(2067, 'Daewoo', 541, 1),
(2068, 'White', 541, 6),
(2069, '2000W', 541, 5),
(2070, 'Electric Fan Heater', 541, 3),
(2071, 'PowerMaster', 542, 1),
(2072, 'Extension Lead', 542, 3),
(2073, 'Elgento', 543, 1),
(2074, 'White', 543, 6),
(2075, '1 Year', 543, 2),
(2076, '125w', 543, 5),
(2077, 'Gimi', 544, 1),
(2078, 'Clothes Horse', 544, 3),
(2079, 'Red', 544, 6),
(2080, 'Steam Iron', 545, 3),
(2081, '760W', 545, 5),
(2082, '80ml', 545, 4),
(2083, 'White and Blue', 545, 6),
(2084, 'Dolce Gusto', 546, 1),
(2085, 'Coffee Pod Holder', 546, 3),
(2086, 'Severin', 547, 1),
(2087, '2 Years', 547, 2),
(2088, 'Steam Iron', 547, 3),
(2089, '170ml', 547, 4),
(2090, 'EI Electronics', 548, 1),
(2091, 'Fire Extinguisher', 548, 3),
(2092, 'Silver', 548, 6),
(2093, 'Smoke Alarm', 549, 3),
(2094, 'El Shannon', 549, 1),
(2095, 'White', 549, 6),
(2096, '5 Years', 549, 2),
(2097, 'Nespresso', 550, 1),
(2098, 'Coffee Pod Holder', 550, 3),
(2099, 'Soehnle', 551, 1),
(2100, 'Blue', 551, 6),
(2101, '5 Years', 551, 2),
(2102, 'Glass', 551, 15),
(2103, 'Prem I Air', 552, 1),
(2104, 'Desk Fan', 552, 3),
(2105, 'White', 552, 6),
(2106, '280mm', 552, 7),
(2107, 'Qualtex', 553, 1),
(2108, 'Grill Pan', 553, 3),
(2109, 'Black', 553, 6),
(2110, 'Goobay', 554, 1),
(2111, 'White', 554, 6),
(2112, 'Lightning 8-pin', 554, 3),
(2113, '1 Year', 554, 2),
(2114, 'Elgento', 555, 1),
(2115, '2', 555, 12),
(2116, '1 Year', 555, 2),
(2117, 'White', 555, 6),
(2118, 'Sage', 556, 1),
(2119, '2 Years', 556, 2),
(2120, 'Water Filters', 556, 3),
(2121, 'Desk Fan', 557, 3),
(2122, 'Prem I Air', 557, 1),
(2123, 'White', 557, 6),
(2124, '282mm', 557, 7),
(2125, 'Qualtex', 558, 1),
(2126, 'Grey', 558, 6),
(2127, 'Drain Hose Extension Kit', 558, 3),
(2128, 'Steam Iron', 559, 3),
(2129, '2000W', 559, 5),
(2130, '0.15L', 559, 4),
(2131, 'Purple', 559, 6),
(2132, 'Remington', 560, 1),
(2133, 'Black', 560, 6),
(2134, 'Body Groomer', 560, 3),
(2135, 'Soehnle', 561, 1),
(2136, 'White', 561, 6),
(2137, 'Bathroom Scales', 561, 3),
(2138, 'Steel', 561, 15),
(2139, 'Brabantia', 562, 1),
(2140, 'Ironing Board Cover', 562, 3),
(2141, 'Multicoloured', 562, 6),
(2142, '450mm', 562, 7),
(2143, 'Lloytron', 563, 1),
(2144, '2', 563, 12),
(2145, 'Black', 563, 6),
(2146, '2 Years', 563, 2),
(2147, 'Tassimo', 564, 1),
(2148, 'Coffee Pod Holder', 564, 3),
(2149, 'Toshiba', 565, 1),
(2150, 'Black', 565, 6),
(2151, 'Headphones', 565, 3),
(2152, '1 Year', 565, 2),
(2153, 'Carmen', 566, 1),
(2154, 'Black', 566, 6),
(2155, '3 years', 566, 2),
(2156, 'Hair Straightener', 566, 3),
(2157, 'Carmen', 567, 1),
(2158, 'Blue', 567, 6),
(2159, '3 years', 567, 2),
(2160, 'Lavazza', 568, 1),
(2161, 'Coffee Mug', 568, 3),
(2162, 'Salter', 569, 1),
(2163, 'White', 569, 6),
(2164, '15 Years', 569, 2),
(2165, 'Bathroom Scales', 569, 3),
(2166, 'Brabantia', 570, 1),
(2167, 'Knife', 570, 3),
(2168, '22mm', 570, 9),
(2169, '48mm', 570, 7),
(2170, 'Lloytron', 571, 1),
(2171, '1.7L', 571, 4),
(2172, '2000W', 571, 5),
(2173, 'Jug Kettle', 571, 3),
(2174, 'Prima', 572, 1),
(2175, 'Shower Head', 572, 3),
(2176, 'Chrome', 572, 6),
(2177, 'Goobay', 573, 1),
(2178, 'Black', 573, 6),
(2179, 'HDMI', 573, 3),
(2180, '1 Year', 573, 2),
(2181, 'Goobay', 574, 1),
(2182, 'Black', 574, 6),
(2183, '1 Year', 574, 2),
(2184, 'Lightning 8-pin', 574, 3),
(2185, 'Hand Blender', 575, 3),
(2186, 'Severin', 575, 1),
(2187, 'White', 575, 6),
(2188, '170W', 575, 5),
(2189, 'Lloytron', 576, 1),
(2190, '1.7L', 576, 4),
(2191, '2000W', 576, 5),
(2192, 'Jug Kettle', 576, 3),
(2193, 'Goobay', 577, 1),
(2194, 'Silver', 577, 6),
(2195, 'Car Charger', 577, 3),
(2196, '1 Year', 577, 2),
(2197, 'Goobay', 578, 1),
(2198, 'Desk Fan', 578, 3),
(2199, 'Silver', 578, 6),
(2200, '1 Year', 578, 2),
(2201, 'Brabantia', 579, 1),
(2202, 'Knife', 579, 3),
(2203, '20mm', 579, 9),
(2204, '38mm', 579, 7),
(2205, 'Brabantia', 580, 1),
(2206, 'Mixing Bowl', 580, 3),
(2207, '250mm', 580, 9),
(2208, '250mm', 580, 7),
(2209, 'Brabantia', 581, 1),
(2210, 'Knife', 581, 3),
(2211, '20mm', 581, 9),
(2212, '38mm', 581, 7),
(2213, 'Oven Mate', 582, 1),
(2214, '500ml', 582, 4),
(2215, 'Oven Cleaning Kit', 582, 3),
(2216, 'Goobay', 583, 1),
(2217, 'Black', 583, 6),
(2218, '2 Years', 583, 2),
(2219, 'iOS/Apple', 583, 3),
(2220, 'White', 584, 6),
(2221, 'Akai', 584, 1),
(2222, 'Fan Heater', 584, 3),
(2223, '2000W', 584, 5),
(2224, 'Brita', 585, 1),
(2225, 'Filter Disc', 585, 3),
(2226, '30 Days', 585, 2),
(2227, 'Goobay', 586, 1),
(2228, 'Black', 586, 6),
(2229, 'HDMI', 586, 3),
(2230, '1 Year', 586, 2),
(2231, 'White', 587, 6),
(2232, 'Extension Lead', 587, 3),
(2233, 'PowerMaster', 587, 1),
(2234, 'White', 588, 6),
(2235, 'Extension Lead', 588, 3),
(2236, 'PowerMaster', 588, 1),
(2237, 'Smoke Alarm', 589, 3),
(2238, 'El Shannon', 589, 1),
(2239, 'White', 589, 6),
(2240, '5 Years', 589, 2),
(2241, 'Brabantia', 590, 1),
(2242, 'Cutting Board', 590, 3),
(2243, '370mm', 590, 9),
(2244, '250mm', 590, 7),
(2245, 'Brabantia', 591, 1),
(2246, 'Mint', 591, 6),
(2247, '285mm', 591, 8),
(2248, '150mm', 591, 7),
(2249, 'White', 592, 6),
(2250, 'Extension Lead', 592, 3),
(2251, 'PowerMaster', 592, 1),
(2252, 'Brabantia', 593, 1),
(2253, 'Ironing Board Cover', 593, 3),
(2254, 'Multicoloured', 593, 6),
(2255, '300mm', 593, 7),
(2256, 'Goobay', 594, 1),
(2257, 'Black', 594, 6),
(2258, 'USB Adapter', 594, 3),
(2259, 'Brabantia', 595, 1),
(2260, 'White', 595, 6),
(2261, '1380mm', 595, 8),
(2262, '495mm', 595, 7),
(2263, 'Brabantia', 596, 1),
(2264, 'Grater', 596, 3),
(2265, '20mm', 596, 9),
(2266, '70mm', 596, 7),
(2267, 'Brabantia', 597, 1),
(2268, 'Grater', 597, 3),
(2269, '20mm', 597, 9),
(2270, '70mm', 597, 7),
(2271, 'Brabantia', 598, 1),
(2272, 'Colander', 598, 3),
(2273, '215mm', 598, 9),
(2274, '215mm', 598, 7),
(2275, 'Coby', 599, 1),
(2276, 'Earphones', 599, 3),
(2277, 'Black', 599, 6),
(2278, 'Coby', 600, 1),
(2279, 'Earphones', 600, 3),
(2280, 'Red', 600, 6),
(2281, 'First Alert', 601, 1),
(2282, 'Smoke Alarm', 601, 3),
(2283, 'White', 601, 6),
(2284, '5 Years', 601, 2),
(2285, 'Prima', 602, 1),
(2286, 'Shower Head', 602, 3),
(2287, 'Chrome', 602, 6),
(2288, 'Minky', 603, 1),
(2289, 'Ironing Board Cover', 603, 3),
(2290, 'White', 604, 6),
(2291, 'Extension Lead', 604, 3),
(2292, 'PowerMaster', 604, 1),
(2293, 'Qualtex', 605, 1),
(2294, 'Inlet Hose', 605, 3),
(2295, 'Goobay', 606, 1),
(2296, 'Black', 606, 6),
(2297, '1 Year', 606, 2),
(2298, 'USB-C', 606, 3),
(2299, 'Brabantia', 607, 1),
(2300, 'Clothes Hanger', 607, 3),
(2301, 'Multicoloured', 607, 6),
(2302, '415mm', 607, 9),
(2303, 'Brabantia', 608, 1),
(2304, 'Knife', 608, 3),
(2305, '20mm', 608, 9),
(2306, '30mm', 608, 7),
(2307, 'PowerMaster', 609, 1),
(2308, 'White', 609, 6),
(2309, 'Night Light', 609, 3),
(2310, 'Brabantia', 610, 1),
(2311, 'Kitchen Scissors', 610, 3),
(2312, '20mm', 610, 9),
(2313, '80mm', 610, 7),
(2314, 'Brabantia', 611, 1),
(2315, 'Herb Scissors', 611, 3),
(2316, '20mm', 611, 9),
(2317, '80mm', 611, 7),
(2318, 'Brabantia', 612, 1),
(2319, 'Cutting Board', 612, 3),
(2320, '330mm', 612, 9),
(2321, '200mm', 612, 7),
(2322, 'Brabantia', 613, 1),
(2323, 'Knife', 613, 3),
(2324, 'Yellow', 613, 6),
(2325, '20mm', 613, 9),
(2326, 'PowerMaster', 614, 1),
(2327, 'White', 614, 6),
(2328, 'Plug-in Timer', 614, 3),
(2329, 'Lavazza', 615, 1),
(2330, 'Coffee Machine Descaler', 615, 3),
(2331, 'Qualtex', 616, 1),
(2332, 'Inlet Hose', 616, 3),
(2333, 'Lavazza', 617, 1),
(2334, 'Coffee Pods', 617, 3),
(2335, 'Furex', 618, 1),
(2336, '250ml', 618, 4),
(2337, 'Kettle Descaler', 618, 3),
(2338, 'Brita', 619, 1),
(2339, 'Purple', 619, 6),
(2340, '0.6L', 619, 4),
(2341, 'Water Bottle', 619, 3),
(2342, 'Brita', 620, 1),
(2343, '0.6L', 620, 4),
(2344, 'Water Bottle', 620, 3),
(2345, '90 Days', 620, 2),
(2346, 'White', 621, 6),
(2347, 'Extension Lead', 621, 3),
(2348, 'Pifco', 621, 1),
(2349, 'Sodastream', 622, 1),
(2350, 'Flavouring Syrup', 622, 3),
(2351, '7-9L', 622, 4),
(2352, 'Sodastream', 623, 1),
(2353, 'Flavouring Syrup', 623, 3),
(2354, '7-9L', 623, 4),
(2355, 'Lavazza', 624, 1),
(2356, 'Coffee Pods', 624, 3),
(2357, 'Lavazza', 625, 1),
(2358, 'Coffee Pods', 625, 3),
(2359, 'Lavazza', 626, 1),
(2360, 'Coffee Pods', 626, 3),
(2361, 'Brabantia', 627, 1),
(2362, 'Wash Bag', 627, 3),
(2363, 'White', 627, 6),
(2364, '2 Years', 627, 2),
(2365, 'Brita', 628, 1),
(2366, 'Blue', 628, 6),
(2367, '0.6L', 628, 4),
(2368, 'Water Bottle', 628, 3),
(2369, 'Lavazza', 629, 1),
(2370, 'Coffee Pods', 629, 3),
(2371, 'Lavazza', 630, 1),
(2372, 'Coffee Pods', 630, 3),
(2373, 'Brita', 631, 1),
(2374, 'Pink', 631, 6),
(2375, '0.6L', 631, 4),
(2376, 'Water Bottle', 631, 3),
(2377, 'Lavazza', 632, 1),
(2378, 'Coffee Pods', 632, 3),
(2379, 'Lavazza', 633, 1),
(2380, 'Coffee Pods', 633, 3),
(2381, 'Brabantia', 634, 1),
(2382, 'Cutting Board', 634, 3),
(2383, '180mm', 634, 7),
(2384, '10mm', 634, 8),
(2385, 'Lavazza', 635, 1),
(2386, 'Coffee Pods', 635, 3),
(2387, 'Lavazza', 636, 1),
(2388, 'Coffee Pods', 636, 3),
(2389, 'Lavazza', 637, 1),
(2390, 'Coffee Pods', 637, 3),
(2391, 'Lavazza', 638, 1),
(2392, 'Coffee Pods', 638, 3),
(2393, 'Lavazza', 639, 1),
(2394, 'Coffee Pods', 639, 3),
(2395, 'Brabantia', 640, 1),
(2396, 'Grey', 640, 6),
(2397, 'Clothes Brush', 640, 3),
(2398, 'Brabantia', 641, 1),
(2399, 'White', 641, 6),
(2400, '2 Years', 641, 2),
(2401, 'Ironing Cloth', 641, 3),
(2402, 'Opal', 642, 1),
(2403, 'Descaler', 642, 3),
(2404, 'White', 642, 6),
(2405, 'Duracell', 643, 1),
(2406, 'Qualtex', 644, 1),
(2407, 'Blanking Nut', 644, 3),
(2408, 'Goobay', 645, 1),
(2409, 'White', 645, 6),
(2410, '1 Year', 645, 2),
(2411, 'CAT 6 Patch Cable', 645, 3),
(2412, 'Duracell', 646, 1),
(2413, 'Duracell', 647, 1),
(2414, 'Duracell', 648, 1),
(2415, 'Lavazza', 649, 1),
(2416, 'Compostable Coffee Capsules', 649, 3),
(2417, 'Lavazza', 650, 1),
(2418, 'Compostable Coffee Capsules', 650, 3),
(2419, 'Lavazza', 651, 1),
(2420, 'Compostable Coffee Capsules', 651, 3),
(2421, '12', 652, 17),
(2422, 'Yes', 652, 18),
(2423, 'A+', 652, 11),
(2424, '600mm', 652, 7),
(2425, '10', 653, 17),
(2426, 'Yes', 653, 18),
(2427, 'A++', 653, 11),
(2428, '450mm', 653, 7),
(2429, '12', 654, 17),
(2430, 'Yes', 654, 18),
(2431, 'A+', 654, 11),
(2432, '595mm', 654, 7),
(2433, '12', 655, 17),
(2434, 'Yes', 655, 18),
(2435, 'A+', 655, 11),
(2436, '600mm', 655, 7),
(2437, '12', 656, 17),
(2438, 'Yes', 656, 18),
(2439, 'A++', 656, 11),
(2440, '598mm', 656, 7),
(2441, '12', 657, 17),
(2442, 'Yes', 657, 18),
(2443, 'A++', 657, 11),
(2444, '600mm', 657, 7),
(2445, '16', 658, 17),
(2446, 'Yes', 658, 18),
(2447, 'A+++', 658, 11),
(2448, '596mm', 658, 7),
(2449, 'Hotpoint', 659, 1),
(2450, 'Freestanding', 659, 10),
(2451, '10', 659, 17),
(2452, '1 Year', 659, 2),
(2453, 'Indesit', 660, 1),
(2454, 'White', 660, 6),
(2455, '13', 660, 17),
(2456, '1 Year', 660, 2),
(2457, '10', 661, 17),
(2458, 'Yes', 661, 18),
(2459, 'A+', 661, 11),
(2460, '820mm', 661, 8),
(2461, '13', 662, 17),
(2462, 'Yes', 662, 18),
(2463, 'A+', 662, 11),
(2464, '1 Year', 662, 2),
(2465, 'Hotpoint', 663, 1),
(2466, 'Freestanding', 663, 10),
(2467, '13', 663, 17),
(2468, 'Yes', 663, 18),
(2469, 'Bosch', 664, 1),
(2470, 'Freestanding', 664, 10),
(2471, 'A+', 664, 11),
(2472, '9', 664, 17),
(2473, '12', 665, 17),
(2474, 'Yes', 665, 18),
(2475, 'A++', 665, 11),
(2476, '600mm', 665, 7),
(2477, '12', 666, 17),
(2478, 'Yes', 666, 18),
(2479, 'A++', 666, 11),
(2480, '598mm', 666, 7),
(2481, '10', 667, 17),
(2482, 'Yes', 667, 18),
(2483, 'A++', 667, 11),
(2484, '450mm', 667, 7),
(2485, 'Hotpoint', 668, 1),
(2486, 'Semi Integrated', 668, 10),
(2487, '1 Year', 668, 2),
(2488, 'No', 668, 18),
(2489, 'Bosch', 669, 1),
(2490, 'Integrated', 669, 10),
(2491, '2 Years', 669, 2),
(2492, '9', 669, 17),
(2493, 'Whirlpool', 670, 1),
(2494, 'Freestanding', 670, 10),
(2495, '14', 670, 17),
(2496, '9.5l', 670, 19),
(2497, '12', 671, 17),
(2498, 'Yes', 671, 18),
(2499, 'A+', 671, 11),
(2500, '598mm', 671, 7),
(2501, 'Hotpoint', 672, 1),
(2502, 'A+', 672, 11),
(2503, '595mm', 672, 7),
(2504, '820mm', 672, 8),
(2505, 'Bosch', 673, 1),
(2506, 'Freestanding', 673, 10),
(2507, '6', 673, 17),
(2508, '2 Years', 673, 2),
(2509, 'Samsung', 674, 1),
(2510, 'Freestanding', 674, 10),
(2511, 'White', 674, 6),
(2512, 'A++', 674, 11),
(2513, '14', 675, 17),
(2514, 'Yes', 675, 18),
(2515, 'A+++', 675, 11),
(2516, 'Samsung', 675, 1);
-- --------------------------------------------------------
-- Volcado de datos para la tabla `properties`
--
INSERT INTO `properties` (`id`, `name`, `created_at`, `updated_at`) VALUES
(1, 'Brand', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(2, 'Warranty', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(3, 'Type', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(4, 'Capacity', '2019-10-08 13:42:20', '2019-10-08 13:42:20'),
(5, 'Power', '2019-10-08 13:42:21', '2019-10-08 13:42:21'),
(6, 'Colour', '2019-10-08 13:42:21', '2019-10-08 13:42:21'),
(7, 'Width', '2019-10-08 13:42:22', '2019-10-08 13:42:22'),
(8, 'Height', '2019-10-08 13:42:22', '2019-10-08 13:42:22'),
(9, 'Depth', '2019-10-08 13:42:22', '2019-10-08 13:42:22'),
(10, 'Fit Type', '2019-10-08 13:42:22', '2019-10-08 13:42:22'),
(11, 'Energy Rating', '2019-10-08 13:42:32', '2019-10-08 13:42:32'),
(12, 'No Of Slices', '2019-10-08 13:42:52', '2019-10-08 13:42:52'),
(13, 'Screen Size', '2019-10-08 13:43:02', '2019-10-08 13:43:02'),
(14, 'Fuel Type', '2019-10-08 13:43:04', '2019-10-08 13:43:04'),
(15, 'Material', '2019-10-08 13:43:24', '2019-10-08 13:43:24'),
(16, 'Processor', '2019-10-08 13:43:46', '2019-10-08 13:43:46'),
(17, 'Place Settings', '2019-10-08 13:45:08', '2019-10-08 13:45:08'),
(18, 'Quick Wash', '2019-10-08 13:45:08', '2019-10-08 13:45:08'),
(19, 'Water Consumption', '2019-10-08 13:45:13', '2019-10-08 13:45:13');
-- --------------------------------------------------------
INSERT INTO `wishlists` (`id`, `user_id`, `name`, `created_at`, `updated_at`) VALUES
(NULL, '1', 'lista 1', NULL, NULL), (NULL, '2', 'lista 2', NULL, NULL),
(NULL, '1', 'lista 3', NULL, NULL), (NULL, '2', 'lista 21', NULL, NULL),
(NULL, '1', 'lista 4', NULL, NULL), (NULL, '2', 'lista 22', NULL, NULL),
(NULL, '1', 'lista 5', NULL, NULL), (NULL, '2', 'lista 23', NULL, NULL),
(NULL, '1', 'lista 6', NULL, NULL), (NULL, '2', 'lista 24', NULL, NULL),
(NULL, '1', 'lista 7', NULL, NULL), (NULL, '2', 'lista 25', NULL, NULL),
(NULL, '1', 'lista 8', NULL, NULL), (NULL, '2', 'lista 26', NULL, NULL),
(NULL, '1', 'lista 9', NULL, NULL), (NULL, '2', 'lista 27', NULL, NULL),
(NULL, '1', 'lista 10', NULL, NULL), (NULL, '2', 'lista 28', NULL, NULL),
(NULL, '1', 'lista 11', NULL, NULL), (NULL, '2', 'lista 29', NULL, NULL),
(NULL, '1', 'lista 12', NULL, NULL), (NULL, '2', 'lista 222', NULL, NULL),
(NULL, '1', 'lista 13', NULL, NULL), (NULL, '2', 'lista 233', NULL, NULL),
(NULL, '1', 'lista 14', NULL, NULL), (NULL, '2', 'lista 244', NULL, NULL),
(NULL, '1', 'lista 15', NULL, NULL), (NULL, '2', 'lista 255', NULL, NULL),
(NULL, '1', 'lista 16', NULL, NULL), (NULL, '2', 'lista 266', NULL, NULL),
(NULL, '1', 'lista 17', NULL, NULL), (NULL, '2', 'lista 277', NULL, NULL),
(NULL, '1', 'lista 18', NULL, NULL), (NULL, '2', 'lista 288', NULL, NULL),
(NULL, '1', 'lista 19', NULL, NULL), (NULL, '2', 'lista 299', NULL, NULL),
(NULL, '1', 'lista 111', NULL, NULL), (NULL, '2', 'lista 33', NULL, NULL),
(NULL, '1', 'lista 122', NULL, NULL), (NULL, '2', 'lista 34', NULL, NULL),
(NULL, '1', 'lista 133', NULL, NULL), (NULL, '2', 'lista 35', NULL, NULL),
(NULL, '1', 'lista 144', NULL, NULL), (NULL, '2', 'lista 36', NULL, NULL),
(NULL, '1', 'lista 155', NULL, NULL), (NULL, '2', 'lista 37', NULL, NULL) |
CREATE PROC ERP.Usp_Sel_UltimoVale
@IdEmpresa INT,
@IdTipoMovimiento INT,
@Fecha DATETIME
AS
BEGIN
SELECT ID,
Documento,
Flag
FROM ERP.Vale WHERE IdEmpresa = @IdEmpresa AND MONTH(Fecha) = MONTH(@Fecha) AND YEAR(Fecha) = YEAR(@Fecha) AND IdTipoMovimiento = @IdTipoMovimiento
AND Documento = (SELECT MAX(VU.Documento) FROM ERP.Vale VU WHERE VU.IdEmpresa = @IdEmpresa AND MONTH(VU.Fecha) = MONTH(@Fecha) AND YEAR(VU.Fecha) = YEAR(@Fecha) AND VU.IdTipoMovimiento = @IdTipoMovimiento)
END
|
with grid_tbl as (
-- создаем для каждого агента последовательность месяцев
-- с первой по крайнюю продажу и запоминаем минимальный и максимальный период продажи
select s.fiopro_cleared, s.filial, s.min_date_sale, s.max_date_sale,d.period_sale, s.channel
from (
select distinct upper(fiopro_cleared) fiopro_cleared, filial,
string_agg(distinct channel, chr(10) order by channel) as channel,
min(date_trunc('month', date_sale)) min_date_sale,
max(date_trunc('month', date_sale)) max_date_sale
from newsales
group by upper(fiopro_cleared), filial
) s
inner join (
select cast('2018-01-01' as date) + (n || 'month'):: interval period_sale
from generate_series(0,24) n
) d
on 1=1
where period_sale >= min_date_sale
and period_sale <= max_date_sale
and length(fiopro_cleared) > 1
order by fiopro_cleared, period_sale
)
/*sale_tbl as (
-- собираем факт продаж по периодам и агентам
select "id", upper(fiopro_cleared) fiopro_cleared,
date_trunc('month', date_sale) period_sale,
channel, filial,
count(1) sale
from srs
group by "id", channel, filial, upper(fiopro_cleared),date_trunc('month', date_sale)
),
agent_sales_tbl as (
select r.*,
row_number() over (partition by "id", fiopro_cleared order by "id",fiopro_cleared )-
row_number() over (partition by ("id", fiopro_cleared, status) order by period_sale ) cons_period
from (
-- собираем все продажи агента по всем периодам, если продаж не было - выводим null
select gr.id, gr.fiopro_cleared, gr.period_sale, gr.min_date_sale, s.sale, s.channel, s.filial,
row_number() over () as row_id,
(case when sale is null then false else true end) status
from grid_tbl gr
full join (
-- собираем факт продаж по периодам и агентам
select "id", upper(fiopro_cleared) fiopro_cleared,channel, filial,
date_trunc('month', date_sale) period_sale,
count(1) sale
from srs
group by "id", channel, filial, upper(fiopro_cleared),date_trunc('month', date_sale)
) s using(id, period_sale)
) r
),
agent_sale_cons_period_prep_tbl as (
select "id",
fiopro_cleared,
channel,
filial,
period_sale,
min_date_sale,
sale,
status,
row_number() over (partition by "id", fiopro_cleared order by "id",fiopro_cleared )-
row_number() over (
partition by ("id", fiopro_cleared, status) order by period_sale ) cons_period
from agent_sales_tbl
),*/
/*
agent_sale_by_serv as (
select "id", fiopro_cleared, period_sale,
string_agg(distinct channel, chr(10) order by channel),
sum("IPTV") as iptv_fact , sum("СОП") as ota_fact,
sum("ЦТВ") as ktv_fact, sum("ШПД") as spd_fact
from crosstab(
$$ select dense_rank() over (order by "id", fiopro_cleared,
period_sale)::int row_name,
"id", fiopro_cleared, period_sale, channel, serv_name, sale
from (select "id", upper(fiopro_cleared) fiopro_cleared,
date_trunc('month', date_sale) period_sale,
serv_name, channel,
count(1)::int sale
from newsales
group by "id", upper(fiopro_cleared),
date_trunc('month', date_sale),
serv_name, channel
-- having channel ='Активный канал' and
-- date_trunc('month', date_sale) between '2019-01-01'::timestamp and '2019-04-01'::timestamp
) ct
order by fiopro_cleared, period_sale, serv_name $$,
$$ select distinct serv_name from newsales order by 1$$
) tt (row_name int, "id" int, fiopro_cleared text, period_sale timestamp, channel text,
"IPTV" int, "СОП" int, "ЦТВ" int, "ШПД" int)
group by "id", fiopro_cleared, period_sale
)*/
select count(1) over (
partition by (ag.fiopro_cleared, ag.filial) order by ag.period_sale ) period_count_total,
count(1) over (
partition by (ag.fiopro_cleared, ag.filial, ag.status, cons_period_group) order by ag.period_sale ) cons_period,
cons_period_group,
ag.fiopro_cleared,
ag.period_sale ag_period_sale,
ag.status ag_status,
min_date_sale, channel, filial,
(case when spd_fact is not null and spd_fact >= 22
and iptv_fact+ktv_fact is not null and iptv_fact+ktv_fact >=19
and ota_fact is not null and ota_fact>=5
then true else false end) as min_sale_check,
(case when spd_fact >= spd and iptv_fact >= iptv and ota_fact >= ota
and spd_fact is not null
and iptv_fact is not null
and ota_fact is not null then true
else false end) as plan_sale_check,
sale total_sale,
spd_fact, iptv_fact,ktv_fact, ota_fact,
first_value(ag.period_sale) over (
partition by (ag.fiopro_cleared,ag.filial, ag.status, cons_period_group)
order by ag.period_sale ) first_cons_period,
tt.*
-- продажи итого по агентам для всех периодов
from (
select r.*,
row_number() over (partition by fiopro_cleared, filial order by period_sale )-
row_number() over (partition by (fiopro_cleared, filial, status) order by period_sale ) cons_period_group
from (
-- собираем все продажи агента по всем периодам, если продаж не было - выводим null
select gr.fiopro_cleared, gr.period_sale, gr.min_date_sale, s.sale, gr.channel, gr.filial,
row_number() over () as row_id,
(case when sale is null then false else true end) status
from grid_tbl gr
left join (
-- собираем факт продаж по периодам и агентам
select upper(fiopro_cleared) fiopro_cleared, filial,
date_trunc('month', date_sale) period_sale,
count(1) sale
from newsales
group by filial, upper(fiopro_cleared),date_trunc('month', date_sale)
) s using(fiopro_cleared, period_sale, filial )
) r
) ag
-- подтягиваем разбивку продаж по услугам
full join (
select fiopro_cleared, period_sale, filial,
sum("IPTV") as iptv_fact , sum("СОП") as ota_fact,
sum("ЦТВ") as ktv_fact, sum("ШПД") as spd_fact
from crosstab(
-- 1й аргумент crosstab
$$ select dense_rank() over (order by fiopro_cleared, filial, period_sale)::int row_name,
fiopro_cleared, period_sale, filial, serv_name, sale
from (
select upper(fiopro_cleared) fiopro_cleared,
date_trunc('month', date_sale) period_sale,
serv_name, filial,
count(1)::int sale
from newsales
group by upper(fiopro_cleared), filial, date_trunc('month', date_sale),serv_name
-- having channel ='Активный канал' and
-- date_trunc('month', date_sale) between '2019-01-01'::timestamp and '2019-04-01'::timestamp
) s
order by fiopro_cleared, period_sale, serv_name $$,
-- 2й аргумент crosstab
$$ select distinct serv_name from newsales order by 1$$
) tt (row_name int, fiopro_cleared text, period_sale timestamp, filial text,
"IPTV" int, "СОП" int, "ЦТВ" int, "ШПД" int)
group by fiopro_cleared, period_sale, filial
) ct using(fiopro_cleared, period_sale, filial)
-- подтягиваем план продаж
full join agent_plan tt on ag.fiopro_cleared=upper(tt.fiopro) and ag.period_sale=tt.period_sale
--where fiopro_cleared ='ОРЛОВА ТАТЬЯНА ВИКТОРОВНА'--ag.period_sale between '2019-01-01'::timestamp and '2019-04-01'::timestamp
--offset 9
order by fiopro_cleared, ag_period_sale, first_cons_period |
select name
from CRONUS.sys.tables
where name like '%Book%'
select name
from CRONUS.sys.tables
where name like '%Customer%'
select *
from "CRONUS International Ltd_$Customer$29d9569b-80c2-4ee6-b502-ee2b7207353e" |
CREATE TYPE MedianGroup AS (
group_nr smallint,
row_count integer,
start_time int,
end_time int,
start_station int,
end_station int,
median double precision
); |
update bonuses set bonus_code = '001Welcome' where id = 100003;
|
use tntcomputers
insert into produse(denumire, categorie_id, pret, moneda_id, oferta) values ('Laptop Asus', 1, 2000, 3, 1);
insert into produse(denumire, categorie_id, pret, moneda_id, oferta) values ('Laptop Dell', 1, 2000, 3, 1);
insert into produse(denumire, categorie_id, pret, moneda_id, oferta) values ('Aspirator', 2, 100, 3, 1);
insert into produse(denumire, categorie_id, pret, moneda_id, oferta) values ('Masina Spalat', 2, 100, 3, 1);
insert into produse(denumire, categorie_id, pret, moneda_id, oferta) values ('Mouse Gigaware', 3, 200, 3, 1);
insert into produse(denumire, categorie_id, pret, moneda_id, oferta) values ('Monitor LED', 3, 200, 3, 1); |
select *from registration;
insert into registration values(100, "afaf","rger",30);
select *from employee;
insert into employee values(105,"Rosse","Female",25000,"Office Staff");
update employee set eName="Johndear" where eNo=101;
delete from employee where eNo=104;
select *from employee where eno=104;
ALTER TABLE `database`.`address`
ADD CONSTRAINT `aID`
FOREIGN KEY (`aID`)
REFERENCES `database`.`employee` (`aID`)
ON DELETE NO ACTION
ON UPDATE NO ACTION;
describe address;
describe employee;
select *from employee;
delete from employee where eNo>=1001;
insert into employee values(1000,"Roy","Male","Office Staff", 2001, "1234");
insert into employee values(1001,"Rosse","Female","Office Staff", 2001, "1234");
insert into employee values(1002,"Johns","Male","Office Staff", 2002, "1234");
insert into employee values(1003,"Josh","Male","Office Staff", 2003, "1234");
insert into employee values(1004,"Peter","Male","Office Staff", 2004, "1234");
insert into employee values(1005,"Rinse","Female","Office Staff", 2005, "1234");
insert into employee values(1006,"Suresh","Male","Engineer", 2006, "1234");
insert into address values(2001, "Dunwoody","Atlanta", "GA", 30328);
insert into address values(2002, "PeachStreet","Atlanta", "GA", 30320);
insert into address values(2003, "Alphareta","Atlanta", "GA", 30300);
insert into address values(2004, "Duluth","Atlanta", "GA", 30400);
insert into address values(2005, "Dowtown","Atlanta", "GA", 30200);
insert into address values(2006, "Midtown","Atlanta", "GA", 30600);
select *from employee e, address a where e.aID=a.aID;
insert into employee values(3000,"Maruthi","Male",35000,"Engineer", "1234", 2006);
ALTER TABLE address DROP FOREIGN KEY addressID;
ALTER TABLE employee ADD CONSTRAINT aID FOREIGN KEY (aID) REFERENCES address(aID) ON DELETE NO ACTION ON UPDATE NO ACTION;
select *from address;
select *from employee;
select *from employee where eName=Ramesh and ePassword=1234;
delete from employee where eNo>1000;
select *from employee where eName="Roy" and ePassword="1234";
update employee set ePassword="1234" where eNo=1000; |
UPDATE wp_options SET option_value = 'how2' WHERE option_name = 'template';
UPDATE wp_options SET option_value = 'how2' WHERE option_name = 'stylesheet';
UPDATE wp_options SET option_value = 'AKQA How2' WHERE option_name = 'current_theme';
|
SELECT
mes.id as Id,
mes.org_unit_id as org_unit_id,
mes.message_type as mess_type,
coalesce(mes.caption, '') as caption
from
messages as mes |
DROP SCHEMA IF EXISTS mega;
CREATE SCHEMA IF NOT EXISTS mega;
USE mega;
DROP TABLE IF EXISTS map_elements;
CREATE TABLE IF NOT EXISTS map_elements (
id INT NOT NULL AUTO_INCREMENT,
icon VARCHAR(50) NULL,
elmt_name VARCHAR(25) NOT NULL,
elmt_desc VARCHAR(100) NULL,
PRIMARY KEY (id)
);
DROP TABLE IF EXISTS coords;
CREATE TABLE IF NOT EXISTS coords (
id INT NOT NULL AUTO_INCREMENT,
element_id INT NOT NULL,
lat DECIMAL(15, 13) NOT NULL,
lng DOUBLE NOT NULL,
marker BOOLEAN NOT NULL,
PRIMARY KEY(id),
FOREIGN KEY (element_id) REFERENCES map_elements(id)
ON UPDATE NO ACTION
ON DELETE CASCADE
);
SET @casalat = -29.700256;
SET @casalng = -53.801540;
SET @rodolat = -29.701463;
SET @rodolng = -53.796481;
SET @megalat = -29.687307;
SET @megalng = -53.808192;
SET @ufnlat = -29.684517;
SET @ufnlng = -53.810759;
SET @rocklat = -29.709329;
SET @rocklng = -53.814470;
-- Markers (PONTOS)
#Ponto casa
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (1, 'home', 'Casa', 'Eu moro aqui!');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 1, @casalat, @casalng, true);
#Ponto rodoviária
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (2, 'commute', 'Rodoviaria', 'Alto movimento de ônibus!');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 2, @rodolat, @rodolng, true);
#Ponto MEGA
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (3, 'code', 'MEGA', 'A empresa MEGA tecnologia desenvolve software de qualidade!');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 3, @megalat, @megalng, true);
#Ponto UFN
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (4, 'school', 'UFN', 'Aqui fica a universidade Franciscana!');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 4, @ufnlat, @ufnlng, true);
#Ponto Rockers
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (5, 'whatshot', 'Rockers', 'Entrada franca para estudantes!');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 5, @rocklat, @rocklng, true);
-- Polylines (TRAÇOS)
#Traço Casa - Rodoviária
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (6, NULL, 'Casa-rodoviária', 'Para quando precisar de ônibus');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 6, @casalat, @casalng, false);
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 6, @rodolat, @rodolng, false);
#Traço Casa - MEGA
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (7, NULL, 'Casa-MEGA', 'Para chegar ao trabalho');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 7, @casalat, @casalng, false);
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 7, @megalat, @megalng, false);
#Traço Casa - UFN
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (8, NULL, 'Casa-UFN', 'Para ir á aula');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 8, @casalat, @casalng, false);
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 8, @ufnlat, @ufnlng, false);
#Traço Casa - Rockers
INSERT INTO map_elements (id, icon, elmt_name, elmt_desc) VALUES (9, NULL, 'Casa-Rockers', 'Para fazer festa');
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 9, @casalat, @casalng, false);
INSERT INTO coords (id, element_id, lat, lng, marker) VALUES (NULL, 9, @rocklat, @rocklng, false); |
CREATE OR REPLACE VIEW vw_payments AS
SELECT
a.id as payment_id,
a.payment_type,
a.amount,
a.payment_method,
a.payment_bill_number,
a.payment_ac_number,
a.ip_address,
a.status as payment_status,
a.created_at,
a.updated_at,
b.name as addedby_user_name,
c.name as modifiedby_user_name
FROM payments a
JOIN users b ON b.id = a.added_by
JOIN users c ON c.id = a.modified_by;
|
# 查询出订单表里面用户购买的商品数量最多的那个用户的信息资料
use university;
# 求出用户购买的商品数量最多的那个用户ID
select orderA.USER_ID
from `20200612_tb_order` orderA
group by orderA.USER_ID
order by orderA.USER_ID desc
limit 0,1;
# 求出用户的信息资料
select *
from `20200614_tb_user` user
where user.USER_ID = (
select orderA.USER_ID
from `20200612_tb_order` orderA
group by orderA.USER_ID
order by orderA.USER_ID desc
limit 0,1
);
# 查询出商品的名称包含有面的商品在订单表中的总价是多少
use university;
# 查询出商品的名称包含有面的商品ID
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME like '%面%';
# 总价
select prod.PRODUCT_NAME,
(prod.PRODUCT_PRICE * orderA.PRODUCT_COUNT) TOTAL_PRICE
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where orderA.PRODUCT_ID = prod.PRODUCT_ID
and prod.PRODUCT_NAME like '%面%';
# 查询出电器类卖的最不好的产品是哪个
use university;
# 查询电器类ID
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME = '电器类';
# 查询电器类商品ID
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where PRODUCT_PARENT_ID = (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME = '电器类'
);
# 查询出电器类销量最不好的产品ID
select orderA.PRODUCT_ID, sum(orderA.PRODUCT_COUNT) SALE_COUNT
from `20200612_tb_order` orderA
where orderA.PRODUCT_ID in (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where PRODUCT_PARENT_ID = (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME = '电器类'
)
)
group by orderA.PRODUCT_ID
order by SALE_COUNT asc
limit 0,1;
# 求出产品信息
select prod.*
from `20200614_tb_product` prod,
(
select orderA.PRODUCT_ID, sum(orderA.PRODUCT_COUNT) SALE_COUNT
from `20200612_tb_order` orderA
where orderA.PRODUCT_ID in (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where PRODUCT_PARENT_ID = (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME = '电器类'
)
)
group by orderA.PRODUCT_ID
order by SALE_COUNT asc
limit 0,1
) countA
WHERE prod.PRODUCT_ID = countA.PRODUCT_ID;
# 查询出用户的账号里面含有数字的有哪些
use university;
select user.*
from `20200614_tb_user` user
where user.USER_ACCOUNT regexp '[A-Za-z]*[\\d]+';
select user.*
from `20200614_tb_user` user
where user.USER_ACCOUNT regexp '[A-Za-z]*[0-9]+';
# 求出下订单表里面下订单在上午的订单量金额最大的是谁
use university;
# 求出上午下的订单
select orderA.USER_ID, orderA.PRODUCT_ID, orderA.PRODUCT_COUNT, orderA.ORDER_NUMBER
from `20200612_tb_order` orderA
where hour(orderA.ORDER_TIME) between 0 and 12;
# 求出上午下单的订单金额
select orderB.ORDER_NUMBER, (orderB.PRODUCT_COUNT * prod.PRODUCT_PRICE) TOTAL_PRICE
from `20200614_tb_product` prod,
(
select orderA.USER_ID, orderA.PRODUCT_ID, orderA.PRODUCT_COUNT, orderA.ORDER_NUMBER
from `20200612_tb_order` orderA
where hour(orderA.ORDER_TIME) between 0 and 12
) orderB
where prod.PRODUCT_ID = orderB.PRODUCT_ID
group by orderB.ORDER_NUMBER
;
# 计算上午下单的订单项目价格
select orderA.ORDER_NUMBER, (orderA.PRODUCT_COUNT * prod.PRODUCT_PRICE) ITEM_PRICE
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where prod.PRODUCT_ID = orderA.PRODUCT_ID
and hour(orderA.ORDER_TIME) between 0 and 12;
# 计算上午下单的订单价格
select ORDER_PRICE.ORDER_NUMBER, sum(ORDER_PRICE.ITEM_PRICE) TOTAL_PRICE
from (
select orderA.ORDER_NUMBER, (orderA.PRODUCT_COUNT * prod.PRODUCT_PRICE) ITEM_PRICE
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where prod.PRODUCT_ID = orderA.PRODUCT_ID
and hour(orderA.ORDER_TIME) between 0 and 12
) ORDER_PRICE
group by ORDER_PRICE.ORDER_NUMBER
order by TOTAL_PRICE desc
limit 0,1;
# 求出用户信息
select distinct user.*
from `20200614_tb_user` user,
`20200612_tb_order` orderA,
(
select ORDER_PRICE.ORDER_NUMBER, sum(ORDER_PRICE.ITEM_PRICE) TOTAL_PRICE
from (
select orderA.ORDER_NUMBER, (orderA.PRODUCT_COUNT * prod.PRODUCT_PRICE) ITEM_PRICE
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where prod.PRODUCT_ID = orderA.PRODUCT_ID
and hour(orderA.ORDER_TIME) between 0 and 12
) ORDER_PRICE
group by ORDER_PRICE.ORDER_NUMBER
order by TOTAL_PRICE desc
limit 0,1
) ORDER_PRICE
where user.USER_ID = orderA.USER_ID
and orderA.ORDER_NUMBER = ORDER_PRICE.ORDER_NUMBER;
# 求出比调和油卖的好的产品是哪(是卖出的比较数量)
use university;
# 查询调和油ID
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME like '%调和油%';
# 查询调和油的销量
select orderA.PRODUCT_COUNT
from `20200612_tb_order` orderA
where orderA.PRODUCT_ID = (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME like '%调和油%'
);
# 求出比调和油卖的好的产品
select prod.*
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where prod.PRODUCT_ID = orderA.PRODUCT_ID
and orderA.PRODUCT_ID not in (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME like '%调和油%'
)
and orderA.PRODUCT_COUNT > (
select orderA.PRODUCT_COUNT
from `20200612_tb_order` orderA
where orderA.PRODUCT_ID = (
select prod.PRODUCT_ID
from `20200614_tb_product` prod
where prod.PRODUCT_NAME like '%调和油%'
)
);
# 求出用户的注册时间是在07之前的用户且用户不是订单中订单金额最少的那些用户
use university;
# 用户的注册时间是在07之前的用户
select userA.*
from `20200614_tb_user` userA
where year(USER_REG_TIME) < 2007;
# 计算订单价格
select ORDER_PRICE.ORDER_NUMBER, sum(ORDER_PRICE.ITEM_PRICE) TOTAL_PRICE
from (
select orderA.ORDER_NUMBER, (orderA.PRODUCT_COUNT * prod.PRODUCT_PRICE) ITEM_PRICE
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where prod.PRODUCT_ID = orderA.PRODUCT_ID
) ORDER_PRICE
group by ORDER_PRICE.ORDER_NUMBER
order by TOTAL_PRICE asc
limit 1,1000;
# 求出用户信息
select distinct userA.*
from `20200614_tb_user` userA,
`20200612_tb_order` orderA,
(
select ORDER_PRICE.ORDER_NUMBER, sum(ORDER_PRICE.ITEM_PRICE) TOTAL_PRICE
from (
select orderA.ORDER_NUMBER, (orderA.PRODUCT_COUNT * prod.PRODUCT_PRICE) ITEM_PRICE
from `20200614_tb_product` prod,
`20200612_tb_order` orderA
where prod.PRODUCT_ID = orderA.PRODUCT_ID
) ORDER_PRICE
group by ORDER_PRICE.ORDER_NUMBER
order by TOTAL_PRICE asc
limit 1,1000
) TOTAL_PRICE
where userA.USER_ID = orderA.USER_ID
and orderA.ORDER_NUMBER = TOTAL_PRICE.ORDER_NUMBER;
# 求出商品的入住时间在17年之后入住的商品卖的最好的(金额)男性用户是谁
use university;
# 商品的入住时间在17年之后入住的商品
select prodA.*
from `20200614_tb_product` prodA
where year(prodA.PRODUCT_WAREHOUSING_TIME) >= 2017;
# 男性用户
select userA.*
from `20200614_tb_user` userA
where userA.USER_SEX = '男';
# 计算2017年后入住的商品的订单项目金额
select prodA.PRODUCT_ID, prodA.PRODUCT_NAME, (prodA.PRODUCT_PRICE * orderA.PRODUCT_COUNT) PROD_PRICE
from `20200612_tb_order` orderA,
`20200614_tb_product` prodA
where orderA.PRODUCT_ID = prodA.PRODUCT_ID
and year(prodA.PRODUCT_WAREHOUSING_TIME) >= 2017;
# 计算2017年后入住的商品的订单金额
select ORDER_PRICE.PRODUCT_ID, SUM(ORDER_PRICE.PROD_PRICE) PROD_PRICE
from (
select prodA.PRODUCT_ID, prodA.PRODUCT_NAME, (prodA.PRODUCT_PRICE * orderA.PRODUCT_COUNT) PROD_PRICE
from `20200612_tb_order` orderA,
`20200614_tb_product` prodA
where orderA.PRODUCT_ID = prodA.PRODUCT_ID
and year(prodA.PRODUCT_WAREHOUSING_TIME) >= 2017
) ORDER_PRICE
group by ORDER_PRICE.PRODUCT_ID
order by PROD_PRICE desc
limit 0,1;
# 查询用户信息
select distinct userA.*
from `20200614_tb_user` userA,
`20200612_tb_order` orderA,
(
select ORDER_PRICE.PRODUCT_ID, SUM(ORDER_PRICE.PROD_PRICE) PROD_PRICE
from (
select prodA.PRODUCT_ID, prodA.PRODUCT_NAME, (prodA.PRODUCT_PRICE * orderA.PRODUCT_COUNT) PROD_PRICE
from `20200612_tb_order` orderA,
`20200614_tb_product` prodA
where orderA.PRODUCT_ID = prodA.PRODUCT_ID
and year(prodA.PRODUCT_WAREHOUSING_TIME) >= 2017
) ORDER_PRICE
group by ORDER_PRICE.PRODUCT_ID
order by PROD_PRICE desc
limit 0,1
) orderB
where userA.USER_ID = orderA.USER_ID
and userA.USER_SEX = '男'
and orderA.PRODUCT_ID = orderB.PRODUCT_ID; |
.ifndef INCLUDED_CYFITTERGNU_INC
.set INCLUDED_CYFITTERGNU_INC, 1
.include "cydevicegnu.inc"
.include "cydevicegnu_trm.inc"
/* LCD_LCDPort */
.set LCD_LCDPort__0__INTTYPE, CYREG_PICU2_INTTYPE0
.set LCD_LCDPort__0__MASK, 0x01
.set LCD_LCDPort__0__PC, CYREG_PRT2_PC0
.set LCD_LCDPort__0__PORT, 2
.set LCD_LCDPort__0__SHIFT, 0
.set LCD_LCDPort__1__INTTYPE, CYREG_PICU2_INTTYPE1
.set LCD_LCDPort__1__MASK, 0x02
.set LCD_LCDPort__1__PC, CYREG_PRT2_PC1
.set LCD_LCDPort__1__PORT, 2
.set LCD_LCDPort__1__SHIFT, 1
.set LCD_LCDPort__2__INTTYPE, CYREG_PICU2_INTTYPE2
.set LCD_LCDPort__2__MASK, 0x04
.set LCD_LCDPort__2__PC, CYREG_PRT2_PC2
.set LCD_LCDPort__2__PORT, 2
.set LCD_LCDPort__2__SHIFT, 2
.set LCD_LCDPort__3__INTTYPE, CYREG_PICU2_INTTYPE3
.set LCD_LCDPort__3__MASK, 0x08
.set LCD_LCDPort__3__PC, CYREG_PRT2_PC3
.set LCD_LCDPort__3__PORT, 2
.set LCD_LCDPort__3__SHIFT, 3
.set LCD_LCDPort__4__INTTYPE, CYREG_PICU2_INTTYPE4
.set LCD_LCDPort__4__MASK, 0x10
.set LCD_LCDPort__4__PC, CYREG_PRT2_PC4
.set LCD_LCDPort__4__PORT, 2
.set LCD_LCDPort__4__SHIFT, 4
.set LCD_LCDPort__5__INTTYPE, CYREG_PICU2_INTTYPE5
.set LCD_LCDPort__5__MASK, 0x20
.set LCD_LCDPort__5__PC, CYREG_PRT2_PC5
.set LCD_LCDPort__5__PORT, 2
.set LCD_LCDPort__5__SHIFT, 5
.set LCD_LCDPort__6__INTTYPE, CYREG_PICU2_INTTYPE6
.set LCD_LCDPort__6__MASK, 0x40
.set LCD_LCDPort__6__PC, CYREG_PRT2_PC6
.set LCD_LCDPort__6__PORT, 2
.set LCD_LCDPort__6__SHIFT, 6
.set LCD_LCDPort__AG, CYREG_PRT2_AG
.set LCD_LCDPort__AMUX, CYREG_PRT2_AMUX
.set LCD_LCDPort__BIE, CYREG_PRT2_BIE
.set LCD_LCDPort__BIT_MASK, CYREG_PRT2_BIT_MASK
.set LCD_LCDPort__BYP, CYREG_PRT2_BYP
.set LCD_LCDPort__CTL, CYREG_PRT2_CTL
.set LCD_LCDPort__DM0, CYREG_PRT2_DM0
.set LCD_LCDPort__DM1, CYREG_PRT2_DM1
.set LCD_LCDPort__DM2, CYREG_PRT2_DM2
.set LCD_LCDPort__DR, CYREG_PRT2_DR
.set LCD_LCDPort__INP_DIS, CYREG_PRT2_INP_DIS
.set LCD_LCDPort__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU2_BASE
.set LCD_LCDPort__LCD_COM_SEG, CYREG_PRT2_LCD_COM_SEG
.set LCD_LCDPort__LCD_EN, CYREG_PRT2_LCD_EN
.set LCD_LCDPort__MASK, 0x7F
.set LCD_LCDPort__PORT, 2
.set LCD_LCDPort__PRT, CYREG_PRT2_PRT
.set LCD_LCDPort__PRTDSI__CAPS_SEL, CYREG_PRT2_CAPS_SEL
.set LCD_LCDPort__PRTDSI__DBL_SYNC_IN, CYREG_PRT2_DBL_SYNC_IN
.set LCD_LCDPort__PRTDSI__OE_SEL0, CYREG_PRT2_OE_SEL0
.set LCD_LCDPort__PRTDSI__OE_SEL1, CYREG_PRT2_OE_SEL1
.set LCD_LCDPort__PRTDSI__OUT_SEL0, CYREG_PRT2_OUT_SEL0
.set LCD_LCDPort__PRTDSI__OUT_SEL1, CYREG_PRT2_OUT_SEL1
.set LCD_LCDPort__PRTDSI__SYNC_OUT, CYREG_PRT2_SYNC_OUT
.set LCD_LCDPort__PS, CYREG_PRT2_PS
.set LCD_LCDPort__SHIFT, 0
.set LCD_LCDPort__SLW, CYREG_PRT2_SLW
/* SPIM_BSPIM */
.set SPIM_BSPIM_BitCounter__16BIT_CONTROL_AUX_CTL_REG, CYREG_B1_UDB06_07_ACTL
.set SPIM_BSPIM_BitCounter__16BIT_CONTROL_CONTROL_REG, CYREG_B1_UDB06_07_CTL
.set SPIM_BSPIM_BitCounter__16BIT_CONTROL_COUNT_REG, CYREG_B1_UDB06_07_CTL
.set SPIM_BSPIM_BitCounter__16BIT_COUNT_CONTROL_REG, CYREG_B1_UDB06_07_CTL
.set SPIM_BSPIM_BitCounter__16BIT_COUNT_COUNT_REG, CYREG_B1_UDB06_07_CTL
.set SPIM_BSPIM_BitCounter__16BIT_MASK_MASK_REG, CYREG_B1_UDB06_07_MSK
.set SPIM_BSPIM_BitCounter__16BIT_MASK_PERIOD_REG, CYREG_B1_UDB06_07_MSK
.set SPIM_BSPIM_BitCounter__16BIT_PERIOD_MASK_REG, CYREG_B1_UDB06_07_MSK
.set SPIM_BSPIM_BitCounter__16BIT_PERIOD_PERIOD_REG, CYREG_B1_UDB06_07_MSK
.set SPIM_BSPIM_BitCounter__CONTROL_AUX_CTL_REG, CYREG_B1_UDB06_ACTL
.set SPIM_BSPIM_BitCounter__CONTROL_REG, CYREG_B1_UDB06_CTL
.set SPIM_BSPIM_BitCounter__CONTROL_ST_REG, CYREG_B1_UDB06_ST_CTL
.set SPIM_BSPIM_BitCounter__COUNT_REG, CYREG_B1_UDB06_CTL
.set SPIM_BSPIM_BitCounter__COUNT_ST_REG, CYREG_B1_UDB06_ST_CTL
.set SPIM_BSPIM_BitCounter__MASK_CTL_AUX_CTL_REG, CYREG_B1_UDB06_MSK_ACTL
.set SPIM_BSPIM_BitCounter__PER_CTL_AUX_CTL_REG, CYREG_B1_UDB06_MSK_ACTL
.set SPIM_BSPIM_BitCounter__PERIOD_REG, CYREG_B1_UDB06_MSK
.set SPIM_BSPIM_BitCounter_ST__16BIT_STATUS_AUX_CTL_REG, CYREG_B1_UDB06_07_ACTL
.set SPIM_BSPIM_BitCounter_ST__16BIT_STATUS_REG, CYREG_B1_UDB06_07_ST
.set SPIM_BSPIM_BitCounter_ST__MASK_REG, CYREG_B1_UDB06_MSK
.set SPIM_BSPIM_BitCounter_ST__MASK_ST_AUX_CTL_REG, CYREG_B1_UDB06_MSK_ACTL
.set SPIM_BSPIM_BitCounter_ST__PER_ST_AUX_CTL_REG, CYREG_B1_UDB06_MSK_ACTL
.set SPIM_BSPIM_BitCounter_ST__STATUS_AUX_CTL_REG, CYREG_B1_UDB06_ACTL
.set SPIM_BSPIM_BitCounter_ST__STATUS_CNT_REG, CYREG_B1_UDB06_ST_CTL
.set SPIM_BSPIM_BitCounter_ST__STATUS_CONTROL_REG, CYREG_B1_UDB06_ST_CTL
.set SPIM_BSPIM_BitCounter_ST__STATUS_REG, CYREG_B1_UDB06_ST
.set SPIM_BSPIM_RxStsReg__16BIT_STATUS_AUX_CTL_REG, CYREG_B1_UDB05_06_ACTL
.set SPIM_BSPIM_RxStsReg__16BIT_STATUS_REG, CYREG_B1_UDB05_06_ST
.set SPIM_BSPIM_RxStsReg__4__MASK, 0x10
.set SPIM_BSPIM_RxStsReg__4__POS, 4
.set SPIM_BSPIM_RxStsReg__5__MASK, 0x20
.set SPIM_BSPIM_RxStsReg__5__POS, 5
.set SPIM_BSPIM_RxStsReg__6__MASK, 0x40
.set SPIM_BSPIM_RxStsReg__6__POS, 6
.set SPIM_BSPIM_RxStsReg__MASK, 0x70
.set SPIM_BSPIM_RxStsReg__MASK_REG, CYREG_B1_UDB05_MSK
.set SPIM_BSPIM_RxStsReg__STATUS_AUX_CTL_REG, CYREG_B1_UDB05_ACTL
.set SPIM_BSPIM_RxStsReg__STATUS_REG, CYREG_B1_UDB05_ST
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_A0_REG, CYREG_B1_UDB06_07_A0
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_A1_REG, CYREG_B1_UDB06_07_A1
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_D0_REG, CYREG_B1_UDB06_07_D0
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_D1_REG, CYREG_B1_UDB06_07_D1
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_DP_AUX_CTL_REG, CYREG_B1_UDB06_07_ACTL
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_F0_REG, CYREG_B1_UDB06_07_F0
.set SPIM_BSPIM_sR8_Dp_u0__16BIT_F1_REG, CYREG_B1_UDB06_07_F1
.set SPIM_BSPIM_sR8_Dp_u0__A0_A1_REG, CYREG_B1_UDB06_A0_A1
.set SPIM_BSPIM_sR8_Dp_u0__A0_REG, CYREG_B1_UDB06_A0
.set SPIM_BSPIM_sR8_Dp_u0__A1_REG, CYREG_B1_UDB06_A1
.set SPIM_BSPIM_sR8_Dp_u0__D0_D1_REG, CYREG_B1_UDB06_D0_D1
.set SPIM_BSPIM_sR8_Dp_u0__D0_REG, CYREG_B1_UDB06_D0
.set SPIM_BSPIM_sR8_Dp_u0__D1_REG, CYREG_B1_UDB06_D1
.set SPIM_BSPIM_sR8_Dp_u0__DP_AUX_CTL_REG, CYREG_B1_UDB06_ACTL
.set SPIM_BSPIM_sR8_Dp_u0__F0_F1_REG, CYREG_B1_UDB06_F0_F1
.set SPIM_BSPIM_sR8_Dp_u0__F0_REG, CYREG_B1_UDB06_F0
.set SPIM_BSPIM_sR8_Dp_u0__F1_REG, CYREG_B1_UDB06_F1
.set SPIM_BSPIM_sR8_Dp_u0__MSK_DP_AUX_CTL_REG, CYREG_B1_UDB06_MSK_ACTL
.set SPIM_BSPIM_sR8_Dp_u0__PER_DP_AUX_CTL_REG, CYREG_B1_UDB06_MSK_ACTL
.set SPIM_BSPIM_TxStsReg__0__MASK, 0x01
.set SPIM_BSPIM_TxStsReg__0__POS, 0
.set SPIM_BSPIM_TxStsReg__1__MASK, 0x02
.set SPIM_BSPIM_TxStsReg__1__POS, 1
.set SPIM_BSPIM_TxStsReg__16BIT_STATUS_AUX_CTL_REG, CYREG_B1_UDB07_08_ACTL
.set SPIM_BSPIM_TxStsReg__16BIT_STATUS_REG, CYREG_B1_UDB07_08_ST
.set SPIM_BSPIM_TxStsReg__2__MASK, 0x04
.set SPIM_BSPIM_TxStsReg__2__POS, 2
.set SPIM_BSPIM_TxStsReg__3__MASK, 0x08
.set SPIM_BSPIM_TxStsReg__3__POS, 3
.set SPIM_BSPIM_TxStsReg__4__MASK, 0x10
.set SPIM_BSPIM_TxStsReg__4__POS, 4
.set SPIM_BSPIM_TxStsReg__MASK, 0x1F
.set SPIM_BSPIM_TxStsReg__MASK_REG, CYREG_B1_UDB07_MSK
.set SPIM_BSPIM_TxStsReg__STATUS_AUX_CTL_REG, CYREG_B1_UDB07_ACTL
.set SPIM_BSPIM_TxStsReg__STATUS_REG, CYREG_B1_UDB07_ST
/* SPIM_RxInternalInterrupt */
.set SPIM_RxInternalInterrupt__INTC_CLR_EN_REG, CYREG_NVIC_CLRENA0
.set SPIM_RxInternalInterrupt__INTC_CLR_PD_REG, CYREG_NVIC_CLRPEND0
.set SPIM_RxInternalInterrupt__INTC_MASK, 0x01
.set SPIM_RxInternalInterrupt__INTC_NUMBER, 0
.set SPIM_RxInternalInterrupt__INTC_PRIOR_NUM, 7
.set SPIM_RxInternalInterrupt__INTC_PRIOR_REG, CYREG_NVIC_PRI_0
.set SPIM_RxInternalInterrupt__INTC_SET_EN_REG, CYREG_NVIC_SETENA0
.set SPIM_RxInternalInterrupt__INTC_SET_PD_REG, CYREG_NVIC_SETPEND0
/* SPIM_TxInternalInterrupt */
.set SPIM_TxInternalInterrupt__INTC_CLR_EN_REG, CYREG_NVIC_CLRENA0
.set SPIM_TxInternalInterrupt__INTC_CLR_PD_REG, CYREG_NVIC_CLRPEND0
.set SPIM_TxInternalInterrupt__INTC_MASK, 0x02
.set SPIM_TxInternalInterrupt__INTC_NUMBER, 1
.set SPIM_TxInternalInterrupt__INTC_PRIOR_NUM, 7
.set SPIM_TxInternalInterrupt__INTC_PRIOR_REG, CYREG_NVIC_PRI_1
.set SPIM_TxInternalInterrupt__INTC_SET_EN_REG, CYREG_NVIC_SETENA0
.set SPIM_TxInternalInterrupt__INTC_SET_PD_REG, CYREG_NVIC_SETPEND0
/* SPIS_BSPIS */
.set SPIS_BSPIS_BitCounter__16BIT_CONTROL_AUX_CTL_REG, CYREG_B1_UDB04_05_ACTL
.set SPIS_BSPIS_BitCounter__16BIT_CONTROL_CONTROL_REG, CYREG_B1_UDB04_05_CTL
.set SPIS_BSPIS_BitCounter__16BIT_CONTROL_COUNT_REG, CYREG_B1_UDB04_05_CTL
.set SPIS_BSPIS_BitCounter__16BIT_COUNT_CONTROL_REG, CYREG_B1_UDB04_05_CTL
.set SPIS_BSPIS_BitCounter__16BIT_COUNT_COUNT_REG, CYREG_B1_UDB04_05_CTL
.set SPIS_BSPIS_BitCounter__16BIT_MASK_MASK_REG, CYREG_B1_UDB04_05_MSK
.set SPIS_BSPIS_BitCounter__16BIT_MASK_PERIOD_REG, CYREG_B1_UDB04_05_MSK
.set SPIS_BSPIS_BitCounter__16BIT_PERIOD_MASK_REG, CYREG_B1_UDB04_05_MSK
.set SPIS_BSPIS_BitCounter__16BIT_PERIOD_PERIOD_REG, CYREG_B1_UDB04_05_MSK
.set SPIS_BSPIS_BitCounter__CONTROL_AUX_CTL_REG, CYREG_B1_UDB04_ACTL
.set SPIS_BSPIS_BitCounter__CONTROL_REG, CYREG_B1_UDB04_CTL
.set SPIS_BSPIS_BitCounter__CONTROL_ST_REG, CYREG_B1_UDB04_ST_CTL
.set SPIS_BSPIS_BitCounter__COUNT_REG, CYREG_B1_UDB04_CTL
.set SPIS_BSPIS_BitCounter__COUNT_ST_REG, CYREG_B1_UDB04_ST_CTL
.set SPIS_BSPIS_BitCounter__MASK_CTL_AUX_CTL_REG, CYREG_B1_UDB04_MSK_ACTL
.set SPIS_BSPIS_BitCounter__PER_CTL_AUX_CTL_REG, CYREG_B1_UDB04_MSK_ACTL
.set SPIS_BSPIS_BitCounter__PERIOD_REG, CYREG_B1_UDB04_MSK
.set SPIS_BSPIS_BitCounter_ST__16BIT_STATUS_AUX_CTL_REG, CYREG_B1_UDB04_05_ACTL
.set SPIS_BSPIS_BitCounter_ST__16BIT_STATUS_REG, CYREG_B1_UDB04_05_ST
.set SPIS_BSPIS_BitCounter_ST__MASK_REG, CYREG_B1_UDB04_MSK
.set SPIS_BSPIS_BitCounter_ST__MASK_ST_AUX_CTL_REG, CYREG_B1_UDB04_MSK_ACTL
.set SPIS_BSPIS_BitCounter_ST__PER_ST_AUX_CTL_REG, CYREG_B1_UDB04_MSK_ACTL
.set SPIS_BSPIS_BitCounter_ST__STATUS_AUX_CTL_REG, CYREG_B1_UDB04_ACTL
.set SPIS_BSPIS_BitCounter_ST__STATUS_CNT_REG, CYREG_B1_UDB04_ST_CTL
.set SPIS_BSPIS_BitCounter_ST__STATUS_CONTROL_REG, CYREG_B1_UDB04_ST_CTL
.set SPIS_BSPIS_BitCounter_ST__STATUS_REG, CYREG_B1_UDB04_ST
.set SPIS_BSPIS_RxStsReg__16BIT_STATUS_AUX_CTL_REG, CYREG_B0_UDB06_07_ACTL
.set SPIS_BSPIS_RxStsReg__16BIT_STATUS_REG, CYREG_B0_UDB06_07_ST
.set SPIS_BSPIS_RxStsReg__3__MASK, 0x08
.set SPIS_BSPIS_RxStsReg__3__POS, 3
.set SPIS_BSPIS_RxStsReg__4__MASK, 0x10
.set SPIS_BSPIS_RxStsReg__4__POS, 4
.set SPIS_BSPIS_RxStsReg__5__MASK, 0x20
.set SPIS_BSPIS_RxStsReg__5__POS, 5
.set SPIS_BSPIS_RxStsReg__6__MASK, 0x40
.set SPIS_BSPIS_RxStsReg__6__POS, 6
.set SPIS_BSPIS_RxStsReg__MASK, 0x78
.set SPIS_BSPIS_RxStsReg__MASK_REG, CYREG_B0_UDB06_MSK
.set SPIS_BSPIS_RxStsReg__STATUS_AUX_CTL_REG, CYREG_B0_UDB06_ACTL
.set SPIS_BSPIS_RxStsReg__STATUS_REG, CYREG_B0_UDB06_ST
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_A0_REG, CYREG_B0_UDB04_05_A0
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_A1_REG, CYREG_B0_UDB04_05_A1
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_D0_REG, CYREG_B0_UDB04_05_D0
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_D1_REG, CYREG_B0_UDB04_05_D1
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_DP_AUX_CTL_REG, CYREG_B0_UDB04_05_ACTL
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_F0_REG, CYREG_B0_UDB04_05_F0
.set SPIS_BSPIS_sR8_Dp_u0__16BIT_F1_REG, CYREG_B0_UDB04_05_F1
.set SPIS_BSPIS_sR8_Dp_u0__A0_A1_REG, CYREG_B0_UDB04_A0_A1
.set SPIS_BSPIS_sR8_Dp_u0__A0_REG, CYREG_B0_UDB04_A0
.set SPIS_BSPIS_sR8_Dp_u0__A1_REG, CYREG_B0_UDB04_A1
.set SPIS_BSPIS_sR8_Dp_u0__D0_D1_REG, CYREG_B0_UDB04_D0_D1
.set SPIS_BSPIS_sR8_Dp_u0__D0_REG, CYREG_B0_UDB04_D0
.set SPIS_BSPIS_sR8_Dp_u0__D1_REG, CYREG_B0_UDB04_D1
.set SPIS_BSPIS_sR8_Dp_u0__DP_AUX_CTL_REG, CYREG_B0_UDB04_ACTL
.set SPIS_BSPIS_sR8_Dp_u0__F0_F1_REG, CYREG_B0_UDB04_F0_F1
.set SPIS_BSPIS_sR8_Dp_u0__F0_REG, CYREG_B0_UDB04_F0
.set SPIS_BSPIS_sR8_Dp_u0__F1_REG, CYREG_B0_UDB04_F1
.set SPIS_BSPIS_TxStsReg__0__MASK, 0x01
.set SPIS_BSPIS_TxStsReg__0__POS, 0
.set SPIS_BSPIS_TxStsReg__1__MASK, 0x02
.set SPIS_BSPIS_TxStsReg__1__POS, 1
.set SPIS_BSPIS_TxStsReg__16BIT_STATUS_AUX_CTL_REG, CYREG_B0_UDB04_05_ACTL
.set SPIS_BSPIS_TxStsReg__16BIT_STATUS_REG, CYREG_B0_UDB04_05_ST
.set SPIS_BSPIS_TxStsReg__2__MASK, 0x04
.set SPIS_BSPIS_TxStsReg__2__POS, 2
.set SPIS_BSPIS_TxStsReg__6__MASK, 0x40
.set SPIS_BSPIS_TxStsReg__6__POS, 6
.set SPIS_BSPIS_TxStsReg__MASK, 0x47
.set SPIS_BSPIS_TxStsReg__MASK_REG, CYREG_B0_UDB04_MSK
.set SPIS_BSPIS_TxStsReg__STATUS_AUX_CTL_REG, CYREG_B0_UDB04_ACTL
.set SPIS_BSPIS_TxStsReg__STATUS_REG, CYREG_B0_UDB04_ST
/* SPIS_RxInternalInterrupt */
.set SPIS_RxInternalInterrupt__INTC_CLR_EN_REG, CYREG_NVIC_CLRENA0
.set SPIS_RxInternalInterrupt__INTC_CLR_PD_REG, CYREG_NVIC_CLRPEND0
.set SPIS_RxInternalInterrupt__INTC_MASK, 0x04
.set SPIS_RxInternalInterrupt__INTC_NUMBER, 2
.set SPIS_RxInternalInterrupt__INTC_PRIOR_NUM, 7
.set SPIS_RxInternalInterrupt__INTC_PRIOR_REG, CYREG_NVIC_PRI_2
.set SPIS_RxInternalInterrupt__INTC_SET_EN_REG, CYREG_NVIC_SETENA0
.set SPIS_RxInternalInterrupt__INTC_SET_PD_REG, CYREG_NVIC_SETPEND0
/* SPIS_TxInternalInterrupt */
.set SPIS_TxInternalInterrupt__INTC_CLR_EN_REG, CYREG_NVIC_CLRENA0
.set SPIS_TxInternalInterrupt__INTC_CLR_PD_REG, CYREG_NVIC_CLRPEND0
.set SPIS_TxInternalInterrupt__INTC_MASK, 0x08
.set SPIS_TxInternalInterrupt__INTC_NUMBER, 3
.set SPIS_TxInternalInterrupt__INTC_PRIOR_NUM, 7
.set SPIS_TxInternalInterrupt__INTC_PRIOR_REG, CYREG_NVIC_PRI_3
.set SPIS_TxInternalInterrupt__INTC_SET_EN_REG, CYREG_NVIC_SETENA0
.set SPIS_TxInternalInterrupt__INTC_SET_PD_REG, CYREG_NVIC_SETPEND0
/* Clock */
.set Clock__CFG0, CYREG_CLKDIST_DCFG0_CFG0
.set Clock__CFG1, CYREG_CLKDIST_DCFG0_CFG1
.set Clock__CFG2, CYREG_CLKDIST_DCFG0_CFG2
.set Clock__CFG2_SRC_SEL_MASK, 0x07
.set Clock__INDEX, 0x00
.set Clock__PM_ACT_CFG, CYREG_PM_ACT_CFG2
.set Clock__PM_ACT_MSK, 0x01
.set Clock__PM_STBY_CFG, CYREG_PM_STBY_CFG2
.set Clock__PM_STBY_MSK, 0x01
/* m_ss_pin */
.set m_ss_pin__0__INTTYPE, CYREG_PICU0_INTTYPE6
.set m_ss_pin__0__MASK, 0x40
.set m_ss_pin__0__PC, CYREG_PRT0_PC6
.set m_ss_pin__0__PORT, 0
.set m_ss_pin__0__SHIFT, 6
.set m_ss_pin__AG, CYREG_PRT0_AG
.set m_ss_pin__AMUX, CYREG_PRT0_AMUX
.set m_ss_pin__BIE, CYREG_PRT0_BIE
.set m_ss_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set m_ss_pin__BYP, CYREG_PRT0_BYP
.set m_ss_pin__CTL, CYREG_PRT0_CTL
.set m_ss_pin__DM0, CYREG_PRT0_DM0
.set m_ss_pin__DM1, CYREG_PRT0_DM1
.set m_ss_pin__DM2, CYREG_PRT0_DM2
.set m_ss_pin__DR, CYREG_PRT0_DR
.set m_ss_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set m_ss_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set m_ss_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set m_ss_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set m_ss_pin__MASK, 0x40
.set m_ss_pin__PORT, 0
.set m_ss_pin__PRT, CYREG_PRT0_PRT
.set m_ss_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set m_ss_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set m_ss_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set m_ss_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set m_ss_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set m_ss_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set m_ss_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set m_ss_pin__PS, CYREG_PRT0_PS
.set m_ss_pin__SHIFT, 6
.set m_ss_pin__SLW, CYREG_PRT0_SLW
/* s_ss_pin */
.set s_ss_pin__0__INTTYPE, CYREG_PICU0_INTTYPE7
.set s_ss_pin__0__MASK, 0x80
.set s_ss_pin__0__PC, CYREG_PRT0_PC7
.set s_ss_pin__0__PORT, 0
.set s_ss_pin__0__SHIFT, 7
.set s_ss_pin__AG, CYREG_PRT0_AG
.set s_ss_pin__AMUX, CYREG_PRT0_AMUX
.set s_ss_pin__BIE, CYREG_PRT0_BIE
.set s_ss_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set s_ss_pin__BYP, CYREG_PRT0_BYP
.set s_ss_pin__CTL, CYREG_PRT0_CTL
.set s_ss_pin__DM0, CYREG_PRT0_DM0
.set s_ss_pin__DM1, CYREG_PRT0_DM1
.set s_ss_pin__DM2, CYREG_PRT0_DM2
.set s_ss_pin__DR, CYREG_PRT0_DR
.set s_ss_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set s_ss_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set s_ss_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set s_ss_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set s_ss_pin__MASK, 0x80
.set s_ss_pin__PORT, 0
.set s_ss_pin__PRT, CYREG_PRT0_PRT
.set s_ss_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set s_ss_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set s_ss_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set s_ss_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set s_ss_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set s_ss_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set s_ss_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set s_ss_pin__PS, CYREG_PRT0_PS
.set s_ss_pin__SHIFT, 7
.set s_ss_pin__SLW, CYREG_PRT0_SLW
/* m_miso_pin */
.set m_miso_pin__0__INTTYPE, CYREG_PICU0_INTTYPE2
.set m_miso_pin__0__MASK, 0x04
.set m_miso_pin__0__PC, CYREG_PRT0_PC2
.set m_miso_pin__0__PORT, 0
.set m_miso_pin__0__SHIFT, 2
.set m_miso_pin__AG, CYREG_PRT0_AG
.set m_miso_pin__AMUX, CYREG_PRT0_AMUX
.set m_miso_pin__BIE, CYREG_PRT0_BIE
.set m_miso_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set m_miso_pin__BYP, CYREG_PRT0_BYP
.set m_miso_pin__CTL, CYREG_PRT0_CTL
.set m_miso_pin__DM0, CYREG_PRT0_DM0
.set m_miso_pin__DM1, CYREG_PRT0_DM1
.set m_miso_pin__DM2, CYREG_PRT0_DM2
.set m_miso_pin__DR, CYREG_PRT0_DR
.set m_miso_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set m_miso_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set m_miso_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set m_miso_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set m_miso_pin__MASK, 0x04
.set m_miso_pin__PORT, 0
.set m_miso_pin__PRT, CYREG_PRT0_PRT
.set m_miso_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set m_miso_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set m_miso_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set m_miso_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set m_miso_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set m_miso_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set m_miso_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set m_miso_pin__PS, CYREG_PRT0_PS
.set m_miso_pin__SHIFT, 2
.set m_miso_pin__SLW, CYREG_PRT0_SLW
/* m_mosi_pin */
.set m_mosi_pin__0__INTTYPE, CYREG_PICU0_INTTYPE0
.set m_mosi_pin__0__MASK, 0x01
.set m_mosi_pin__0__PC, CYREG_PRT0_PC0
.set m_mosi_pin__0__PORT, 0
.set m_mosi_pin__0__SHIFT, 0
.set m_mosi_pin__AG, CYREG_PRT0_AG
.set m_mosi_pin__AMUX, CYREG_PRT0_AMUX
.set m_mosi_pin__BIE, CYREG_PRT0_BIE
.set m_mosi_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set m_mosi_pin__BYP, CYREG_PRT0_BYP
.set m_mosi_pin__CTL, CYREG_PRT0_CTL
.set m_mosi_pin__DM0, CYREG_PRT0_DM0
.set m_mosi_pin__DM1, CYREG_PRT0_DM1
.set m_mosi_pin__DM2, CYREG_PRT0_DM2
.set m_mosi_pin__DR, CYREG_PRT0_DR
.set m_mosi_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set m_mosi_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set m_mosi_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set m_mosi_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set m_mosi_pin__MASK, 0x01
.set m_mosi_pin__PORT, 0
.set m_mosi_pin__PRT, CYREG_PRT0_PRT
.set m_mosi_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set m_mosi_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set m_mosi_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set m_mosi_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set m_mosi_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set m_mosi_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set m_mosi_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set m_mosi_pin__PS, CYREG_PRT0_PS
.set m_mosi_pin__SHIFT, 0
.set m_mosi_pin__SLW, CYREG_PRT0_SLW
/* m_sclk_pin */
.set m_sclk_pin__0__INTTYPE, CYREG_PICU0_INTTYPE4
.set m_sclk_pin__0__MASK, 0x10
.set m_sclk_pin__0__PC, CYREG_PRT0_PC4
.set m_sclk_pin__0__PORT, 0
.set m_sclk_pin__0__SHIFT, 4
.set m_sclk_pin__AG, CYREG_PRT0_AG
.set m_sclk_pin__AMUX, CYREG_PRT0_AMUX
.set m_sclk_pin__BIE, CYREG_PRT0_BIE
.set m_sclk_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set m_sclk_pin__BYP, CYREG_PRT0_BYP
.set m_sclk_pin__CTL, CYREG_PRT0_CTL
.set m_sclk_pin__DM0, CYREG_PRT0_DM0
.set m_sclk_pin__DM1, CYREG_PRT0_DM1
.set m_sclk_pin__DM2, CYREG_PRT0_DM2
.set m_sclk_pin__DR, CYREG_PRT0_DR
.set m_sclk_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set m_sclk_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set m_sclk_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set m_sclk_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set m_sclk_pin__MASK, 0x10
.set m_sclk_pin__PORT, 0
.set m_sclk_pin__PRT, CYREG_PRT0_PRT
.set m_sclk_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set m_sclk_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set m_sclk_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set m_sclk_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set m_sclk_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set m_sclk_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set m_sclk_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set m_sclk_pin__PS, CYREG_PRT0_PS
.set m_sclk_pin__SHIFT, 4
.set m_sclk_pin__SLW, CYREG_PRT0_SLW
/* s_miso_pin */
.set s_miso_pin__0__INTTYPE, CYREG_PICU0_INTTYPE3
.set s_miso_pin__0__MASK, 0x08
.set s_miso_pin__0__PC, CYREG_PRT0_PC3
.set s_miso_pin__0__PORT, 0
.set s_miso_pin__0__SHIFT, 3
.set s_miso_pin__AG, CYREG_PRT0_AG
.set s_miso_pin__AMUX, CYREG_PRT0_AMUX
.set s_miso_pin__BIE, CYREG_PRT0_BIE
.set s_miso_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set s_miso_pin__BYP, CYREG_PRT0_BYP
.set s_miso_pin__CTL, CYREG_PRT0_CTL
.set s_miso_pin__DM0, CYREG_PRT0_DM0
.set s_miso_pin__DM1, CYREG_PRT0_DM1
.set s_miso_pin__DM2, CYREG_PRT0_DM2
.set s_miso_pin__DR, CYREG_PRT0_DR
.set s_miso_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set s_miso_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set s_miso_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set s_miso_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set s_miso_pin__MASK, 0x08
.set s_miso_pin__PORT, 0
.set s_miso_pin__PRT, CYREG_PRT0_PRT
.set s_miso_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set s_miso_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set s_miso_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set s_miso_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set s_miso_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set s_miso_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set s_miso_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set s_miso_pin__PS, CYREG_PRT0_PS
.set s_miso_pin__SHIFT, 3
.set s_miso_pin__SLW, CYREG_PRT0_SLW
/* s_mosi_pin */
.set s_mosi_pin__0__INTTYPE, CYREG_PICU0_INTTYPE1
.set s_mosi_pin__0__MASK, 0x02
.set s_mosi_pin__0__PC, CYREG_PRT0_PC1
.set s_mosi_pin__0__PORT, 0
.set s_mosi_pin__0__SHIFT, 1
.set s_mosi_pin__AG, CYREG_PRT0_AG
.set s_mosi_pin__AMUX, CYREG_PRT0_AMUX
.set s_mosi_pin__BIE, CYREG_PRT0_BIE
.set s_mosi_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set s_mosi_pin__BYP, CYREG_PRT0_BYP
.set s_mosi_pin__CTL, CYREG_PRT0_CTL
.set s_mosi_pin__DM0, CYREG_PRT0_DM0
.set s_mosi_pin__DM1, CYREG_PRT0_DM1
.set s_mosi_pin__DM2, CYREG_PRT0_DM2
.set s_mosi_pin__DR, CYREG_PRT0_DR
.set s_mosi_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set s_mosi_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set s_mosi_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set s_mosi_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set s_mosi_pin__MASK, 0x02
.set s_mosi_pin__PORT, 0
.set s_mosi_pin__PRT, CYREG_PRT0_PRT
.set s_mosi_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set s_mosi_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set s_mosi_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set s_mosi_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set s_mosi_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set s_mosi_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set s_mosi_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set s_mosi_pin__PS, CYREG_PRT0_PS
.set s_mosi_pin__SHIFT, 1
.set s_mosi_pin__SLW, CYREG_PRT0_SLW
/* s_sclk_pin */
.set s_sclk_pin__0__INTTYPE, CYREG_PICU0_INTTYPE5
.set s_sclk_pin__0__MASK, 0x20
.set s_sclk_pin__0__PC, CYREG_PRT0_PC5
.set s_sclk_pin__0__PORT, 0
.set s_sclk_pin__0__SHIFT, 5
.set s_sclk_pin__AG, CYREG_PRT0_AG
.set s_sclk_pin__AMUX, CYREG_PRT0_AMUX
.set s_sclk_pin__BIE, CYREG_PRT0_BIE
.set s_sclk_pin__BIT_MASK, CYREG_PRT0_BIT_MASK
.set s_sclk_pin__BYP, CYREG_PRT0_BYP
.set s_sclk_pin__CTL, CYREG_PRT0_CTL
.set s_sclk_pin__DM0, CYREG_PRT0_DM0
.set s_sclk_pin__DM1, CYREG_PRT0_DM1
.set s_sclk_pin__DM2, CYREG_PRT0_DM2
.set s_sclk_pin__DR, CYREG_PRT0_DR
.set s_sclk_pin__INP_DIS, CYREG_PRT0_INP_DIS
.set s_sclk_pin__INTTYPE_BASE, CYDEV_PICU_INTTYPE_PICU0_BASE
.set s_sclk_pin__LCD_COM_SEG, CYREG_PRT0_LCD_COM_SEG
.set s_sclk_pin__LCD_EN, CYREG_PRT0_LCD_EN
.set s_sclk_pin__MASK, 0x20
.set s_sclk_pin__PORT, 0
.set s_sclk_pin__PRT, CYREG_PRT0_PRT
.set s_sclk_pin__PRTDSI__CAPS_SEL, CYREG_PRT0_CAPS_SEL
.set s_sclk_pin__PRTDSI__DBL_SYNC_IN, CYREG_PRT0_DBL_SYNC_IN
.set s_sclk_pin__PRTDSI__OE_SEL0, CYREG_PRT0_OE_SEL0
.set s_sclk_pin__PRTDSI__OE_SEL1, CYREG_PRT0_OE_SEL1
.set s_sclk_pin__PRTDSI__OUT_SEL0, CYREG_PRT0_OUT_SEL0
.set s_sclk_pin__PRTDSI__OUT_SEL1, CYREG_PRT0_OUT_SEL1
.set s_sclk_pin__PRTDSI__SYNC_OUT, CYREG_PRT0_SYNC_OUT
.set s_sclk_pin__PS, CYREG_PRT0_PS
.set s_sclk_pin__SHIFT, 5
.set s_sclk_pin__SLW, CYREG_PRT0_SLW
/* Miscellaneous */
.set BCLK__BUS_CLK__HZ, 24000000
.set BCLK__BUS_CLK__KHZ, 24000
.set BCLK__BUS_CLK__MHZ, 24
.set CYDEV_CHIP_DIE_LEOPARD, 1
.set CYDEV_CHIP_DIE_PANTHER, 18
.set CYDEV_CHIP_DIE_PSOC4A, 10
.set CYDEV_CHIP_DIE_PSOC5LP, 17
.set CYDEV_CHIP_DIE_TMA4, 2
.set CYDEV_CHIP_DIE_UNKNOWN, 0
.set CYDEV_CHIP_FAMILY_PSOC3, 1
.set CYDEV_CHIP_FAMILY_PSOC4, 2
.set CYDEV_CHIP_FAMILY_PSOC5, 3
.set CYDEV_CHIP_FAMILY_UNKNOWN, 0
.set CYDEV_CHIP_FAMILY_USED, CYDEV_CHIP_FAMILY_PSOC5
.set CYDEV_CHIP_JTAG_ID, 0x2E123069
.set CYDEV_CHIP_MEMBER_3A, 1
.set CYDEV_CHIP_MEMBER_4A, 10
.set CYDEV_CHIP_MEMBER_4C, 15
.set CYDEV_CHIP_MEMBER_4D, 6
.set CYDEV_CHIP_MEMBER_4E, 4
.set CYDEV_CHIP_MEMBER_4F, 11
.set CYDEV_CHIP_MEMBER_4G, 2
.set CYDEV_CHIP_MEMBER_4H, 9
.set CYDEV_CHIP_MEMBER_4I, 14
.set CYDEV_CHIP_MEMBER_4J, 7
.set CYDEV_CHIP_MEMBER_4K, 8
.set CYDEV_CHIP_MEMBER_4L, 13
.set CYDEV_CHIP_MEMBER_4M, 12
.set CYDEV_CHIP_MEMBER_4N, 5
.set CYDEV_CHIP_MEMBER_4U, 3
.set CYDEV_CHIP_MEMBER_5A, 17
.set CYDEV_CHIP_MEMBER_5B, 16
.set CYDEV_CHIP_MEMBER_UNKNOWN, 0
.set CYDEV_CHIP_MEMBER_USED, CYDEV_CHIP_MEMBER_5B
.set CYDEV_CHIP_DIE_EXPECT, CYDEV_CHIP_MEMBER_USED
.set CYDEV_CHIP_DIE_ACTUAL, CYDEV_CHIP_DIE_EXPECT
.set CYDEV_CHIP_REV_LEOPARD_ES1, 0
.set CYDEV_CHIP_REV_LEOPARD_ES2, 1
.set CYDEV_CHIP_REV_LEOPARD_ES3, 3
.set CYDEV_CHIP_REV_LEOPARD_PRODUCTION, 3
.set CYDEV_CHIP_REV_PANTHER_ES0, 0
.set CYDEV_CHIP_REV_PANTHER_ES1, 1
.set CYDEV_CHIP_REV_PANTHER_PRODUCTION, 1
.set CYDEV_CHIP_REV_PSOC4A_ES0, 17
.set CYDEV_CHIP_REV_PSOC4A_PRODUCTION, 17
.set CYDEV_CHIP_REV_PSOC5LP_ES0, 0
.set CYDEV_CHIP_REV_PSOC5LP_PRODUCTION, 0
.set CYDEV_CHIP_REV_TMA4_ES, 17
.set CYDEV_CHIP_REV_TMA4_ES2, 33
.set CYDEV_CHIP_REV_TMA4_PRODUCTION, 17
.set CYDEV_CHIP_REVISION_3A_ES1, 0
.set CYDEV_CHIP_REVISION_3A_ES2, 1
.set CYDEV_CHIP_REVISION_3A_ES3, 3
.set CYDEV_CHIP_REVISION_3A_PRODUCTION, 3
.set CYDEV_CHIP_REVISION_4A_ES0, 17
.set CYDEV_CHIP_REVISION_4A_PRODUCTION, 17
.set CYDEV_CHIP_REVISION_4C_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4D_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4E_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4F_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4F_PRODUCTION_256DMA, 0
.set CYDEV_CHIP_REVISION_4F_PRODUCTION_256K, 0
.set CYDEV_CHIP_REVISION_4G_ES, 17
.set CYDEV_CHIP_REVISION_4G_ES2, 33
.set CYDEV_CHIP_REVISION_4G_PRODUCTION, 17
.set CYDEV_CHIP_REVISION_4H_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4I_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4J_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4K_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4L_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4M_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4N_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_4U_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_5A_ES0, 0
.set CYDEV_CHIP_REVISION_5A_ES1, 1
.set CYDEV_CHIP_REVISION_5A_PRODUCTION, 1
.set CYDEV_CHIP_REVISION_5B_ES0, 0
.set CYDEV_CHIP_REVISION_5B_PRODUCTION, 0
.set CYDEV_CHIP_REVISION_USED, CYDEV_CHIP_REVISION_5B_PRODUCTION
.set CYDEV_CHIP_REV_EXPECT, CYDEV_CHIP_REVISION_USED
.set CYDEV_CONFIG_FASTBOOT_ENABLED, 1
.set CYDEV_CONFIG_UNUSED_IO_AllowButWarn, 0
.set CYDEV_CONFIG_UNUSED_IO, CYDEV_CONFIG_UNUSED_IO_AllowButWarn
.set CYDEV_CONFIG_UNUSED_IO_AllowWithInfo, 1
.set CYDEV_CONFIG_UNUSED_IO_Disallowed, 2
.set CYDEV_CONFIGURATION_COMPRESSED, 0
.set CYDEV_CONFIGURATION_DMA, 1
.set CYDEV_CONFIGURATION_ECC, 1
.set CYDEV_CONFIGURATION_IMOENABLED, CYDEV_CONFIG_FASTBOOT_ENABLED
.set CYDEV_CONFIGURATION_MODE_COMPRESSED, 0
.set CYDEV_CONFIGURATION_MODE_DMA, 2
.set CYDEV_CONFIGURATION_MODE, CYDEV_CONFIGURATION_MODE_DMA
.set CYDEV_CONFIGURATION_MODE_UNCOMPRESSED, 1
.set CYDEV_DEBUG_ENABLE_MASK, 0x20
.set CYDEV_DEBUG_ENABLE_REGISTER, CYREG_MLOGIC_DEBUG
.set CYDEV_DEBUGGING_DPS_Disable, 3
.set CYDEV_DEBUGGING_DPS_JTAG_4, 1
.set CYDEV_DEBUGGING_DPS_JTAG_5, 0
.set CYDEV_DEBUGGING_DPS_SWD, 2
.set CYDEV_DEBUGGING_DPS_SWD_SWV, 6
.set CYDEV_DEBUGGING_DPS, CYDEV_DEBUGGING_DPS_SWD_SWV
.set CYDEV_DEBUGGING_ENABLE, 1
.set CYDEV_DEBUGGING_XRES, 0
.set CYDEV_DMA_CHANNELS_AVAILABLE, 24
.set CYDEV_ECC_ENABLE, 0
.set CYDEV_HEAP_SIZE, 0x80
.set CYDEV_INSTRUCT_CACHE_ENABLED, 0
.set CYDEV_INTR_RISING, 0x0000000F
.set CYDEV_IS_EXPORTING_CODE, 0
.set CYDEV_IS_IMPORTING_CODE, 0
.set CYDEV_PROJ_TYPE, 0
.set CYDEV_PROJ_TYPE_BOOTLOADER, 1
.set CYDEV_PROJ_TYPE_LAUNCHER, 5
.set CYDEV_PROJ_TYPE_LOADABLE, 2
.set CYDEV_PROJ_TYPE_LOADABLEANDBOOTLOADER, 4
.set CYDEV_PROJ_TYPE_MULTIAPPBOOTLOADER, 3
.set CYDEV_PROJ_TYPE_STANDARD, 0
.set CYDEV_PROTECTION_ENABLE, 0
.set CYDEV_STACK_SIZE, 0x0800
.set CYDEV_USE_BUNDLED_CMSIS, 1
.set CYDEV_VARIABLE_VDDA, 0
.set CYDEV_VDDA_MV, 5000
.set CYDEV_VDDD_MV, 5000
.set CYDEV_VDDIO0_MV, 5000
.set CYDEV_VDDIO1_MV, 5000
.set CYDEV_VDDIO2_MV, 5000
.set CYDEV_VDDIO3_MV, 5000
.set CYDEV_VIO0_MV, 5000
.set CYDEV_VIO1_MV, 5000
.set CYDEV_VIO2_MV, 5000
.set CYDEV_VIO3_MV, 5000
.set CYIPBLOCK_ARM_CM3_VERSION, 0
.set CYIPBLOCK_P3_ANAIF_VERSION, 0
.set CYIPBLOCK_P3_CAN_VERSION, 0
.set CYIPBLOCK_P3_CAPSENSE_VERSION, 0
.set CYIPBLOCK_P3_COMP_VERSION, 0
.set CYIPBLOCK_P3_DECIMATOR_VERSION, 0
.set CYIPBLOCK_P3_DFB_VERSION, 0
.set CYIPBLOCK_P3_DMA_VERSION, 0
.set CYIPBLOCK_P3_DRQ_VERSION, 0
.set CYIPBLOCK_P3_DSM_VERSION, 0
.set CYIPBLOCK_P3_EMIF_VERSION, 0
.set CYIPBLOCK_P3_I2C_VERSION, 0
.set CYIPBLOCK_P3_LCD_VERSION, 0
.set CYIPBLOCK_P3_LPF_VERSION, 0
.set CYIPBLOCK_P3_OPAMP_VERSION, 0
.set CYIPBLOCK_P3_PM_VERSION, 0
.set CYIPBLOCK_P3_SCCT_VERSION, 0
.set CYIPBLOCK_P3_TIMER_VERSION, 0
.set CYIPBLOCK_P3_USB_VERSION, 0
.set CYIPBLOCK_P3_VIDAC_VERSION, 0
.set CYIPBLOCK_P3_VREF_VERSION, 0
.set CYIPBLOCK_S8_GPIO_VERSION, 0
.set CYIPBLOCK_S8_IRQ_VERSION, 0
.set CYIPBLOCK_S8_SAR_VERSION, 0
.set CYIPBLOCK_S8_SIO_VERSION, 0
.set CYIPBLOCK_S8_UDB_VERSION, 0
.set DMA_CHANNELS_USED__MASK0, 0x00000000
.set CYDEV_BOOTLOADER_ENABLE, 0
.endif
|
CREATE DEFINER = CURRENT_USER TRIGGER `cloudware`.`set_relation`
AFTER INSERT ON `order`
FOR EACH ROW
BEGIN
DECLARE client_ID INT DEFAULT NEW.orderClientID;
DECLARE item_ID INT DEFAULT NEW.orderItemID;
DECLARE order_date INT DEFAULT NEW.orderDate;
IF NEW.orderType = 1 THEN
INSERT INTO client_equip_relation
(cerClientID, cerEquipID, cerOrderDate)
VALUES
(NEW.orderClientID, NEW.orderItemID, NEW.orderDate);
ELSE
INSERT INTO client_service_relation
(csrClientID, csrServiceID, cerStartDate)
VALUES
(NEW.orderClientID, NEW.orderItemID, NEW.orderDate);
END IF;
END
|
/*
Set up the Points table and
*/
USE SQLMgmtD;
IF OBJECT_ID('dbo.points') IS NOT NULL
DROP TABLE dbo.Points;
CREATE TABLE dbo.Points
(
id UNIQUEIDENTIFIER PRIMARY KEY
DEFAULT ( NEWID())
, personid INT
, dollars MONEY
, filler_data CHAR(1000)
DEFAULT ( 'X' )
);
/* insert $100 for person_id -1 */
INSERT INTO dbo.Points ( personid
, dollars )
VALUES ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 )
, ( -1, 10 );
SELECT SUM(dollars)
FROM Points
WHERE personid = -1;
/* start inserting $ for other folks */
WHILE 1 = 1
BEGIN
INSERT INTO dbo.Points ( personid
, dollars )
VALUES ( CAST(RAND() * 10000 AS INT), 10 );
END;
IF 1 = 2
BEGIN
DROP TABLE dbo.Points;
DBCC SHRINKFILE(1, 11);
DBCC SHRINKFILE(2, 20);
END;
|
USE nodeDB;
DROP TABLE tbl_products;
INSERT INTO tbl_products(p_code, p_name, p_price)
VALUES('P0001', '1000원 김밥', 1000),
('P0002', '2000원 김밥', 2000),
('P0003', '돈까스 김밥', 3500),
('P0004', '참치 김밥', 3000),
('P0005', '라면', 2500),
('P0006', '치즈라면', 3000),
('P0007', '떡볶이', 4000),
('P0008', '어묵국', 3000),
('P0009', '쫄면', 4000),
('P0010', '김치볶음밥', 4500),
('P0011', '잔치국수', 4000),
('P0012', '제육볶음', 4000);
|
INSERT INTO dbo.TblInvoiceline (OrderId, InvoiceId, VatRateId, Currency, Amount, SequenceNumber, Description)
SELECT OfferId, NULL, VatRateId, Currency, Amount, SequenceNumber, Description
FROM dbo.TblOfferline as [o]
WHERE o.IsOrdered = 1
UPDATE dbo.TblInvoiceline
SET InvoiceId = fac.FactuurId
FROM dbo.TblInvoiceline AS [line]
LEFT JOIN dbo.TblFactuur AS [fac] ON line.OrderId = fac.OfferteID
|
CREATE PROC P4 @MAYOR_VENDEDOR NUMERIC(6) OUTPUT AS
BEGIN
UPDATE Empleado
SET empl_comision = (SELECT SUM(fact_total)
FROM Factura f
WHERE f.fact_vendedor = empl_codigo
AND YEAR(f.fact_fecha) =
(SELECT TOP 1 YEAR(F2.fact_fecha) FROM Factura f2 ORDER BY f2.fact_fecha DESC)
GROUP BY f.fact_vendedor);
SET @MAYOR_VENDEDOR = (SELECT TOP 1 empl_codigo FROM Empleado ORDER BY empl_comision DESC);
END; |
insert into eyemakeup(brand,itemName,price) values("Anastasia","Modern Renaissance Palette", 42.00);
insert into eyemakeup(brand,itemName,price) values("Too Faced","Sweet Peach", 49.00);
insert into eyemakeup(brand,itemName,price) values("Urban Decay","Naked3", 54.00);
insert into eyemakeup(brand,itemName,price) values("Urban Decay","Full Spectrum", 32.00);
insert into eyemakeup(brand,itemName,price) values("Nars","NARSissist Loaded Eyeshadow", 59.00);
insert into eyemakeup(brand,itemName,price) values("Tarte","Rainforest of the Sea", 36.00);
insert into eyemakeup(brand,itemName,price) values("Tarte","Tarteist Pro Amazonian Clay", 53.00);
insert into eyemakeup(brand,itemName,price) values("Urban Decay","Moondust Palette", 49.00);
insert into eyemakeup(brand,itemName,price) values("Buxom","White Russian on the Rocks", 40.00);
insert into eyemakeup(brand,itemName,price) values("Too Faced","White Chocolate Chip", 26.00);
insert into eyemakeup(brand,itemName,price) values("Burberry","Complete Eye Palette", 62.00);
insert into eyemakeup(brand,itemName,price) values("Kat Von D","Alchemist Holographic Palette", 32.00);
insert into eyemakeup(brand,itemName,price) values("Dior","5-Colour Eyeshadow", 62.00);
insert into facemakeup(brand,itemName,price) values("Dior","Capture Totale Dreamskin",82.00);
insert into facemakeup(brand,itemName,price) values("Guerlain","Super Aqua-Serum BB",79.00);
insert into facemakeup(brand,itemName,price) values("AmorePacific","Moisture Bound",70.00);
insert into facemakeup(brand,itemName,price) values("Giorgio Armani Beauty","Designer Lift Foundation",67.00);
insert into facemakeup(brand,itemName,price) values("Bobbi Brown","Intensive Skin Serum Foundation",63.00);
insert into facemakeup(brand,itemName,price) values("Giorgio Armani Beauty","Luminous Silk Foundation",64.00);
insert into facemakeup(brand,itemName,price) values("Koh Gen Do","Aqua Foundation",62.00);
insert into facemakeup(brand,itemName,price) values("Dior","Diorskin Airflash Spray",62.00);
insert into facemakeup(brand,itemName,price) values("Marc Jacobs Beauty","Re(marc)able Foundation",55.00);
insert into facemakeup(brand,itemName,price) values("Givenchy","TEINT Couture Cushion",50.00);
insert into facemakeup(brand,itemName,price) values("Dr. Jart+","Air Mesh",48.00);
insert into facemakeup(brand,itemName,price) values("Stila","Aqua Glow",45.00);
insert into facemakeup(brand,itemName,price) values("Shiseido","Radiant Lifting Foundation",45.00);
insert into skincare(brand,itemName,price) values("Fresh","Soy Face Cleanser",38.00);
insert into skincare(brand,itemName,price) values("Sunday Riley","Good Genes Treatment",158.00);
insert into skincare(brand,itemName,price) values("Ole Henriksen","Truth Serum",48.00);
insert into skincare(brand,itemName,price) values("Clinique","Moisture Surge",39.00);
insert into skincare(brand,itemName,price) values("Drunk Elephant","C-Firma Day Serum",80.00);
insert into skincare(brand,itemName,price) values("Fresh ","Lotus Youth Cream",45.00);
insert into skincare(brand,itemName,price) values("Tatcha","The Water Cream",68.00);
insert into skincare(brand,itemName,price) values("La Mer","The Concentrate",360.00);
insert into skincare(brand,itemName,price) values("Perricone MD","Gentle Firming Eye Cream",72.00);
insert into skincare(brand,itemName,price) values("Murad","Eye Lift",68.00);
insert into skincare(brand,itemName,price) values("Dr. Jart+","Ceramidin Cream",48.00);
insert into skincare(brand,itemName,price) values("Drunk Elephant","nightbright",28.00);
insert into skincare(brand,itemName,price) values("Caudalie","Favorites Set",39.00);
insert into skincare(brand,itemName,price) values("Tata Harper","Beautifying Face Oil",68.00); |
-- Table definitions for the tournament project.
--
-- Put your SQL 'create table' statements in this file; also 'create view'
-- statements if you choose to use it.
--
-- You can write comments in this file by starting them with two dashes, like
-- these lines here.
--Create a database named tournament
create Database tournament;
--Create a connection to the database tournament
\c tournament
--Create a table for players
create table players (pid serial primary key, name text);
--Create a table for matches
create table matches(mid serial primary key, winner integer references players(pid), loser integer references players(pid));
|
UPDATE SONGS SET HAS_DETAILS = TRUE WHERE STATUS= 'SHOW'; |
-- Unable to test. Need DB with column Constraints
SELECT
t.table_name TableName,
USER_NAME(t.creator) SchemaName,
c.column_name ColumnName,
s.constraint_name ConstraintName,
'CHECK' ConstraintType,
NULL ConstraintDef
FROM sys.SYSTAB t
JOIN sys.SYSCONSTRAINT s ON s.table_object_id = t.object_id
JOIN sys.SYSTABCOL c ON c.object_id = s.ref_object_id
WHERE
t.table_type = 1
AND t.Creator in (USER_ID('dba'), user_id())
AND s.constraint_type = 'C' |
/**TODO 1: Find the revenue generated till date from the rented out vehicles of type car. The returned table should contain only 1 row and
1 column and the column should be named as “Revenue by Car”**/
SELECT SUM(B.amount) AS "Revenue by Car"
FROM booking B
WHERE B.vehicle_id IN (
SELECT V.vehicle_id FROM vehicle V
WHERE V.vehicle_subcategory_id IN (
SELECT VS.vehicle_subcategory_id
FROM vehicle_subcategory VS
WHERE VS.vehicle_category_id = (
SELECT VC.vehicle_category_id
FROM vehicle_category VC
WHERE VC.vehicle_category_name = 'CAR'))); |
DROP DATABASE IF EXISTS employee_trackerDB;
CREATE DATABASE employee_trackerDB;
USE employee_trackerDB;
CREATE TABLE employees(
id INTEGER(11) AUTO_INCREMENT NOT NULL,
first_name VARCHAR(30),
last_name VARCHAR(30),
role_id INTEGER(11),
manager VARCHAR(30),
PRIMARY KEY (id)
);
CREATE TABLE departments(
id INTEGER(11) AUTO_INCREMENT NOT NULL,
department VARCHAR(30),
PRIMARY KEY (id)
);
CREATE TABLE roles(
id INTEGER(11) AUTO_INCREMENT NOT NULL,
title VARCHAR(30),
salary DECIMAL(6),
department_id INTEGER(11),
PRIMARY KEY(id)
);
USE employee_trackerDB;
INSERT INTO departments (department) VALUES ("Sales");
INSERT INTO departments (department) VALUES ("Engineering");
INSERT INTO departments (department) VALUES ("Finance");
INSERT INTO departments (department) VALUES ("Legal");
USE employee_trackerDB;
INSERT INTO roles (title, salary, department_id) VALUES ("Sales Lead", 80000, 1);
INSERT INTO roles (title, salary, department_id) VALUES ("Salesperson", 55000, 1);
INSERT INTO roles (title, salary, department_id) VALUES ("Lead Engineer", 85000, 2);
INSERT INTO roles (title, salary, department_id) VALUES ("Software Engineer", 65000, 2);
INSERT INTO roles (title, salary, department_id) VALUES ("Accountant", 75000, 3);
INSERT INTO roles (title, salary, department_id) VALUES ("Assistant Accountant", 45000, 3);
INSERT INTO roles (title, salary, department_id) VALUES ("Legal Team Lead", 150000, 4);
INSERT INTO roles (title, salary, department_id) VALUES ("Lawyer", 100000, 4);
USE employee_trackerDB;
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Kevin", "Lesak", 1, null);
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Lora", "Lesak", 2, "Kevin Lesak");
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Gary", "Smith", 3, null);
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Tom", "Woods", 4, "Gary Smith");
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Will", "Fitzpatrick", 5, null);
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Lisa", "Abbott", 6, "Will Fitzpatrick");
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Denise", "Rodgers", 7, null);
INSERT INTO employees (first_name, last_name, role_id, manager) VALUES ("Anita", "Jones", 8, "Denise Rodgers"); |
CREATE OR REPLACE VIEW VALUE_VERIFIED AS
SELECT 'NO_VERIFICAT' AS id,
null AS observ
FROM DUAL
UNION
SELECT 'VERIFICAT' AS id,
null AS observ
FROM DUAL;
|
CREATE INDEX idx_0 ON "baaArea" ("baaNpdidBsnsArrArea");
CREATE INDEX idx_1 ON "bsns_arr_area_area_poly_hst" ("baaNpdidBsnsArrArea");
CREATE INDEX idx_2 ON "bsns_arr_area_licensee_hst" ("baaNpdidBsnsArrArea");
CREATE INDEX idx_3 ON "bsns_arr_area_licensee_hst" ("cmpNpdidCompany");
CREATE INDEX idx_4 ON "bsns_arr_area_operator" ("baaNpdidBsnsArrArea");
CREATE INDEX idx_5 ON "bsns_arr_area_operator" ("cmpNpdidCompany");
CREATE INDEX idx_6 ON "bsns_arr_area_transfer_hst" ("baaNpdidBsnsArrArea");
CREATE INDEX idx_7 ON "bsns_arr_area_transfer_hst" ("cmpNpdidCompany");
CREATE INDEX idx_8 ON "company_reserves" ("fldNpdidField");
CREATE INDEX idx_9 ON "company_reserves" ("cmpNpdidCompany");
CREATE INDEX idx_10 ON "discovery" ("fldNpdidField");
CREATE INDEX idx_11 ON "discovery" ("wlbNpdidWellbore");
CREATE INDEX idx_12 ON "discovery_reserves" ("dscNpdidDiscovery");
CREATE INDEX idx_13 ON "dscArea" ("fldNpdidField");
CREATE INDEX idx_14 ON "dscArea" ("dscNpdidDiscovery");
CREATE INDEX idx_15 ON "dscArea" ("dscNpdidResInclInDiscovery");
CREATE INDEX idx_16 ON "facility_moveable" ("fclNpdidCurrentRespCompany");
CREATE INDEX idx_17 ON "fclPoint" ("fclNpdidFacility");
CREATE INDEX idx_18 ON "field" ("wlbNpdidWellbore");
CREATE INDEX idx_19 ON "field" ("cmpNpdidCompany");
CREATE INDEX idx_20 ON "field_activity_status_hst" ("fldNpdidField");
CREATE INDEX idx_21 ON "field_description" ("fldNpdidField");
CREATE INDEX idx_22 ON "field_investment_yearly" ("prfNpdidInformationCarrier");
CREATE INDEX idx_23 ON "field_licensee_hst" ("fldNpdidField");
CREATE INDEX idx_24 ON "field_licensee_hst" ("cmpNpdidCompany");
CREATE INDEX idx_25 ON "field_operator_hst" ("fldNpdidField");
CREATE INDEX idx_26 ON "field_operator_hst" ("cmpNpdidCompany");
CREATE INDEX idx_27 ON "field_owner_hst" ("fldNpdidField");
CREATE INDEX idx_28 ON "field_reserves" ("fldNpdidField");
CREATE INDEX idx_29 ON "fldArea" ("fldNpdidField");
CREATE INDEX idx_30 ON "fldArea" ("dscNpdidDiscovery");
CREATE INDEX idx_31 ON "fldArea" ("dscNpdidResInclInDiscovery");
CREATE INDEX idx_32 ON "licence_area_poly_hst" ("prlNpdidLicence");
CREATE INDEX idx_33 ON "licence_licensee_hst" ("prlNpdidLicence");
CREATE INDEX idx_34 ON "licence_licensee_hst" ("cmpNpdidCompany");
CREATE INDEX idx_35 ON "licence_oper_hst" ("prlNpdidLicence");
CREATE INDEX idx_36 ON "licence_oper_hst" ("cmpNpdidCompany");
CREATE INDEX idx_37 ON "licence_petreg_licence" ("prlNpdidLicence");
CREATE INDEX idx_38 ON "lic_pet_lic_licencee" ("prlNpdidLicence");
CREATE INDEX idx_39 ON "lic_pet_lic_licencee" ("cmpNpdidCompany");
CREATE INDEX idx_40 ON "licence_petreg_licence_oper" ("prlNpdidLicence");
CREATE INDEX idx_41 ON "licence_petreg_licence_oper" ("cmpNpdidCompany");
CREATE INDEX idx_42 ON "licence_petreg_message" ("prlNpdidLicence");
CREATE INDEX idx_43 ON "licence_phase_hst" ("prlNpdidLicence");
CREATE INDEX idx_44 ON "licence_task" ("cmpNpdidCompany");
CREATE INDEX idx_45 ON "licence_task" ("prlNpdidLicence");
CREATE INDEX idx_46 ON "licence_task" ("prlTaskRefID");
CREATE INDEX idx_47 ON "licence_transfer_hst" ("prlNpdidLicence");
CREATE INDEX idx_48 ON "licence_transfer_hst" ("cmpNpdidCompany");
CREATE INDEX idx_49 ON "pipLine" ("pipNpdidOperator");
CREATE INDEX idx_50 ON "prlArea" ("prlNpdidLicence");
CREATE INDEX idx_51 ON "prlArea" ("prlLastOperatorNpdidCompany");
CREATE INDEX idx_52 ON "prlAreaSplitByBlock" ("prlLastOperatorNpdidCompany");
CREATE INDEX idx_53 ON "prlAreaSplitByBlock" ("prlNpdidLicence");
CREATE INDEX idx_54 ON "seaArea" ("seaNpdidSurvey");
CREATE INDEX idx_55 ON "seaMultiline" ("seaSurveyName");
CREATE INDEX idx_56 ON "seis_acquisition" ("seaCompanyReported");
CREATE INDEX idx_57 ON "s_a_c_inc_turnarea" ("seaNpdidSurvey");
CREATE INDEX idx_58 ON "seis_acquisition_progress" ("seaNpdidSurvey");
CREATE INDEX idx_59 ON "strat_litho_wellbore" ("wlbNpdidWellbore");
CREATE INDEX idx_60 ON "strat_litho_wellbore_core" ("wlbNpdidWellbore");
CREATE INDEX idx_61 ON "tuf_operator_hst" ("cmpNpdidCompany");
CREATE INDEX idx_62 ON "tuf_owner_hst" ("cmpNpdidCompany");
CREATE INDEX idx_63 ON "tuf_petreg_licence_licencee" ("tufNpdidTuf");
CREATE INDEX idx_64 ON "tuf_petreg_licence_licencee" ("cmpNpdidCompany");
CREATE INDEX idx_65 ON "tuf_petreg_licence_oper" ("tufNpdidTuf");
CREATE INDEX idx_66 ON "tuf_petreg_licence_oper" ("cmpNpdidCompany");
CREATE INDEX idx_67 ON "tuf_petreg_message" ("tufNpdidTuf");
CREATE INDEX idx_68 ON "wellbore_casing_and_lot" ("wlbNpdidWellbore");
CREATE INDEX idx_69 ON "wellbore_coordinates" ("wlbNpdidWellbore");
CREATE INDEX idx_70 ON "wellbore_core" ("wlbNpdidWellbore");
CREATE INDEX idx_71 ON "wellbore_core_photo" ("wlbNpdidWellbore");
CREATE INDEX idx_72 ON "wellbore_development_all" ("wlbDrillingOperator");
CREATE INDEX idx_73 ON "wellbore_development_all" ("wlbNpdidWellbore");
CREATE INDEX idx_74 ON "wellbore_development_all" ("dscNpdidDiscovery");
CREATE INDEX idx_75 ON "wellbore_development_all" ("fldNpdidField");
CREATE INDEX idx_76 ON "wellbore_development_all" ("prlNpdidProductionLicence");
CREATE INDEX idx_77 ON "wellbore_development_all" ("wlbDiskosWellOperator");
CREATE INDEX idx_78 ON "wellbore_document" ("wlbNpdidWellbore");
CREATE INDEX idx_79 ON "wellbore_dst" ("wlbNpdidWellbore");
CREATE INDEX idx_80 ON "wellbore_exploration_all" ("wlbDrillingOperator");
CREATE INDEX idx_81 ON "wellbore_exploration_all" ("wlbNpdidWellbore");
CREATE INDEX idx_82 ON "wellbore_exploration_all" ("fldNpdidField");
CREATE INDEX idx_83 ON "wellbore_exploration_all" ("prlNpdidProductionLicence");
CREATE INDEX idx_84 ON "wellbore_formation_top" ("wlbNpdidWellbore");
CREATE INDEX idx_85 ON "wellbore_mud" ("wlbNpdidWellbore");
CREATE INDEX idx_86 ON "wellbore_oil_sample" ("wlbNpdidWellbore");
CREATE INDEX idx_87 ON "wellbore_shallow_all" ("wlbNpdidWellbore");
CREATE INDEX idx_88 ON "wlbPoint" ("wlbNpdidWellbore");
|
SELECT properties.title, AVG(property_reviews.rating) AS average_rating
FROM properties
JOIN property_reviews ON property_reviews.property_id = properties.id
WHERE properties.city LIKE '_ancouver'
GROUP BY properties.id
HAVING AVG(property_reviews.rating) >= 4
ORDER BY properties.cost_per_night
LIMIT 10;
|
with
__dbt__CTE__stg_d_date_model as (
with source_data as (
select * from "postgres"."mint"."d_date"
)
select * from source_data
),d as (select * from __dbt__CTE__stg_d_date_model),
bd as (select * from "postgres"."mint"."inter_budget_discretionary_model"),
t_one as(
select
d.first_day_of_month
,sum(bd.amount)::decimal(18,2) as budget_discretionary
from d
join bd
on d.date_actual = bd.trans_date
group by d.first_day_of_month
)
select
first_day_of_month
,budget_discretionary
,AVG(budget_discretionary)
OVER(order BY first_day_of_month ROWS BETWEEN 36 PRECEDING AND CURRENT ROW) ::decimal(18,2) as moving_avg
from t_one
order by first_day_of_month desc |
SELECT COUNT(*) AS RECORD_COUNT
FROM PAY_INFO P INNER JOIN ACCOUNT_INFO A
ON P.PAY_ORIGINIAL_ACCOUNT_NO = A.ACCOUNT_NO
WHERE P.CONTRACT_NO = /*contractNo*/
AND A.CUSTOMER_CODE = /*companyCodeEight*/
AND A.PAY_FLG = /*payFlg*/ |
alter table site add guid varchar(255);
|
ALTER TABLE Turist_Suvenir DROP FOREIGN KEY FKTurist_Suv514598;
ALTER TABLE Turist_Suvenir DROP FOREIGN KEY FKTurist_Suv710020;
ALTER TABLE Tara_suvenir DROP FOREIGN KEY FKTara_suven705151;
ALTER TABLE Beneficiar_suvenir DROP FOREIGN KEY FKBeneficiar827371;
ALTER TABLE Beneficiar_suvenir DROP FOREIGN KEY FKBeneficiar500950;
ALTER TABLE Tara_suvenir DROP FOREIGN KEY FKTara_suven326288;
DROP TABLE IF EXISTS Beneficiar_suvenir;
DROP TABLE IF EXISTS Beneficiari;
DROP TABLE IF EXISTS Suveniruri;
DROP TABLE IF EXISTS Tara_suvenir;
DROP TABLE IF EXISTS Tari;
DROP TABLE IF EXISTS Turist_Suvenir;
DROP TABLE IF EXISTS Turisti;
|
/*
Navicat MySQL Data Transfer
Source Server : ewe
Source Server Version : 50537
Source Host : localhost:3306
Source Database : meet
Target Server Type : MYSQL
Target Server Version : 50537
File Encoding : 65001
Date: 2017-03-17 16:49:14
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `record`
-- ----------------------------
DROP TABLE IF EXISTS `record`;
CREATE TABLE `record` (
`id` int(60) NOT NULL AUTO_INCREMENT,
`mobile` varchar(20) DEFAULT NULL,
`url` varchar(30) DEFAULT NULL,
`dtime` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=292 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of record
-- ----------------------------
INSERT INTO `record` VALUES ('1', '19999999999', '127.0.0.1', null);
INSERT INTO `record` VALUES ('2', '19999999999', '127.0.0.1', '2017-03-14 16:43:15');
INSERT INTO `record` VALUES ('3', '19999999999', '127.0.0.1', '2017-03-14 16:47:14');
INSERT INTO `record` VALUES ('4', '19999999999', '127.0.0.1', '2017-03-14 16:48:09');
INSERT INTO `record` VALUES ('5', '19999999999', '127.0.0.1', '2017-03-14 16:49:20');
INSERT INTO `record` VALUES ('6', '19999999999', '127.0.0.1', '2017-03-14 16:49:46');
INSERT INTO `record` VALUES ('7', '19999999999', '127.0.0.1', '2017-03-14 16:50:45');
INSERT INTO `record` VALUES ('8', '19999999999', '127.0.0.1', '2017-03-14 16:51:05');
INSERT INTO `record` VALUES ('9', '19999999999', 'www.daoyi027.com', '2017-03-14 16:53:04');
INSERT INTO `record` VALUES ('10', '19999999999', 'www.daoyi027.com', '2017-03-14 16:53:34');
INSERT INTO `record` VALUES ('11', '19999999999', 'www.daoyi027.com', '2017-03-14 16:54:13');
INSERT INTO `record` VALUES ('12', '19999999999', '127.0.0.1', '2017-03-14 16:54:55');
INSERT INTO `record` VALUES ('13', '19999999999', '127.0.0.1', '2017-03-14 16:55:06');
INSERT INTO `record` VALUES ('14', '19999999999', '127.0.0.1', '2017-03-14 16:56:02');
INSERT INTO `record` VALUES ('15', '19999999999', '127.0.0.1', '2017-03-14 17:00:11');
INSERT INTO `record` VALUES ('16', '19999999999', '127.0.0.1', '2017-03-14 17:01:48');
INSERT INTO `record` VALUES ('17', '19999999999', '127.0.0.1', '2017-03-14 17:06:44');
INSERT INTO `record` VALUES ('18', '19999999999', null, '2017-03-14 17:06:47');
INSERT INTO `record` VALUES ('19', '19999999999', '127.0.0.1', '2017-03-14 17:08:55');
INSERT INTO `record` VALUES ('20', '19999999999', 'www.daoyi027.com', '2017-03-14 17:10:51');
INSERT INTO `record` VALUES ('21', '19999999999', 'www.daoyi027.com', '2017-03-14 17:11:20');
INSERT INTO `record` VALUES ('22', '19999999999', 'www.daoyi027.com', '2017-03-14 17:11:36');
INSERT INTO `record` VALUES ('23', '19999999999', '127.0.0.1', '2017-03-14 17:11:54');
INSERT INTO `record` VALUES ('24', '19999999999', '127.0.0.1', '2017-03-14 17:13:04');
INSERT INTO `record` VALUES ('25', '19999999999', '127.0.0.1', '2017-03-14 17:13:22');
INSERT INTO `record` VALUES ('26', '19999999999', '127.0.0.1', '2017-03-14 17:13:32');
INSERT INTO `record` VALUES ('27', '19999999999', '127.0.0.1', '2017-03-14 17:13:37');
INSERT INTO `record` VALUES ('28', '19999999999', '127.0.0.1', '2017-03-14 17:13:55');
INSERT INTO `record` VALUES ('29', '19999999999', '127.0.0.1', '2017-03-14 17:14:04');
INSERT INTO `record` VALUES ('30', '19999999999', '127.0.0.1', '2017-03-14 17:15:57');
INSERT INTO `record` VALUES ('31', '19999999999', '127.0.0.1', '2017-03-14 17:16:28');
INSERT INTO `record` VALUES ('32', '19999999999', '127.0.0.1', '2017-03-14 17:22:15');
INSERT INTO `record` VALUES ('33', '19999999999', '127.0.0.1', '2017-03-14 17:22:28');
INSERT INTO `record` VALUES ('34', '19999999999', '127.0.0.1', '2017-03-14 17:24:11');
INSERT INTO `record` VALUES ('35', '19999999999', '127.0.0.1', '2017-03-14 17:29:21');
INSERT INTO `record` VALUES ('36', '19999999999', '127.0.0.1', '2017-03-14 17:29:35');
INSERT INTO `record` VALUES ('37', '19999999999', 'www.daoyi027.com', '2017-03-14 17:30:37');
INSERT INTO `record` VALUES ('38', '19999999999', '127.0.0.1', '2017-03-14 17:31:07');
INSERT INTO `record` VALUES ('39', '19999999999', '127.0.0.1', '2017-03-14 17:31:36');
INSERT INTO `record` VALUES ('40', '19999999999', '127.0.0.1', '2017-03-14 17:31:46');
INSERT INTO `record` VALUES ('41', '19999999999', '127.0.0.1', '2017-03-14 17:33:34');
INSERT INTO `record` VALUES ('42', '19999999999', '127.0.0.1', '2017-03-14 17:33:40');
INSERT INTO `record` VALUES ('43', '19999999999', '127.0.0.1', '2017-03-14 17:34:32');
INSERT INTO `record` VALUES ('44', '19999999999', '127.0.0.1', '2017-03-14 17:34:46');
INSERT INTO `record` VALUES ('45', '19999999999', '127.0.0.1', '2017-03-14 17:40:49');
INSERT INTO `record` VALUES ('46', '19999999999', '127.0.0.1', '2017-03-14 17:40:55');
INSERT INTO `record` VALUES ('47', '19999999999', 'www.daoyi027.com', '2017-03-14 17:42:42');
INSERT INTO `record` VALUES ('48', '19999999999', '127.0.0.1', '2017-03-14 17:43:05');
INSERT INTO `record` VALUES ('49', '19999999999', '127.0.0.1', '2017-03-14 17:43:11');
INSERT INTO `record` VALUES ('50', '19999999999', '127.0.0.1', '2017-03-14 17:43:38');
INSERT INTO `record` VALUES ('51', '19999999999', 'www.daoyi027.com', '2017-03-14 17:43:47');
INSERT INTO `record` VALUES ('52', '19999999999', 'www.daoyi027.com', '2017-03-14 17:43:59');
INSERT INTO `record` VALUES ('53', '19999999999', 'www.a.com', '2017-03-15 09:16:29');
INSERT INTO `record` VALUES ('54', '19999999999', 'www.a.com', '2017-03-15 09:16:36');
INSERT INTO `record` VALUES ('55', '19999999999', 'www.a.com', '2017-03-15 09:18:00');
INSERT INTO `record` VALUES ('56', '19999999999', '127.0.0.1', '2017-03-15 09:18:08');
INSERT INTO `record` VALUES ('57', '19999999999', 'www.daoyi027.com', '2017-03-15 09:18:27');
INSERT INTO `record` VALUES ('58', '19999999999', 'www.daoyi027.com', '2017-03-15 09:19:37');
INSERT INTO `record` VALUES ('59', '19999999999', 'www.a.com', '2017-03-15 09:20:27');
INSERT INTO `record` VALUES ('60', '19999999999', 'www.a.com', '2017-03-15 09:30:48');
INSERT INTO `record` VALUES ('61', '19999999999', 'www.daoyi027.com', '2017-03-15 09:32:14');
INSERT INTO `record` VALUES ('62', '19999999999', 'www.a.com', '2017-03-15 09:33:29');
INSERT INTO `record` VALUES ('63', '19999999999', 'www.daoyi027.com', '2017-03-15 09:33:58');
INSERT INTO `record` VALUES ('64', '19999999999', 'www.a.com', '2017-03-15 09:34:47');
INSERT INTO `record` VALUES ('65', '19999999999', 'www.a.com', '2017-03-15 10:00:04');
INSERT INTO `record` VALUES ('66', '19999999999', 'www.a.com', '2017-03-15 10:00:09');
INSERT INTO `record` VALUES ('67', '19999999999', 'www.daoyi027.com', '2017-03-15 10:00:44');
INSERT INTO `record` VALUES ('68', '19999999999', 'www.a.com', '2017-03-15 10:01:03');
INSERT INTO `record` VALUES ('69', '19999999999', 'www.daoyi027.com', '2017-03-15 10:01:14');
INSERT INTO `record` VALUES ('70', '19999999999', 'www.daoyi027.com', '2017-03-15 10:01:44');
INSERT INTO `record` VALUES ('71', '19999999999', 'www.a.com', '2017-03-15 10:02:31');
INSERT INTO `record` VALUES ('72', '19999999999', 'www.a.com', '2017-03-15 10:02:35');
INSERT INTO `record` VALUES ('73', '19999999999', 'www.daoyi027.com', '2017-03-15 10:03:11');
INSERT INTO `record` VALUES ('74', '19999999999', 'www.a.com', '2017-03-15 10:03:48');
INSERT INTO `record` VALUES ('75', '19999999999', 'www.daoyi027.com', '2017-03-15 10:04:10');
INSERT INTO `record` VALUES ('76', '19999999999', 'www.a.com', '2017-03-15 10:04:40');
INSERT INTO `record` VALUES ('77', '19999999999', 'www.daoyi027.com', '2017-03-15 10:04:53');
INSERT INTO `record` VALUES ('78', '19999999999', 'www.daoyi027.com', '2017-03-15 10:07:25');
INSERT INTO `record` VALUES ('79', '19999999999', 'www.daoyi027.com', '2017-03-15 10:07:35');
INSERT INTO `record` VALUES ('80', '19999999999', 'www.a.com', '2017-03-15 10:10:10');
INSERT INTO `record` VALUES ('81', '19999999999', 'www.a.com', '2017-03-15 10:13:18');
INSERT INTO `record` VALUES ('82', '19999999999', 'www.a.com', '2017-03-15 10:16:05');
INSERT INTO `record` VALUES ('83', '19999999999', 'www.daoyi027.com', '2017-03-15 10:19:22');
INSERT INTO `record` VALUES ('84', '19999999999', 'www.daoyi027.com', '2017-03-15 10:19:47');
INSERT INTO `record` VALUES ('85', '19999999999', 'www.daoyi027.com', '2017-03-15 10:20:17');
INSERT INTO `record` VALUES ('86', '19999999999', 'www.daoyi027.com', '2017-03-15 10:21:49');
INSERT INTO `record` VALUES ('87', '19999999999', 'www.daoyi027.com', '2017-03-15 10:23:47');
INSERT INTO `record` VALUES ('88', '19999999999', 'www.a.com', '2017-03-15 10:24:30');
INSERT INTO `record` VALUES ('89', '19999999999', 'www.a.com', '2017-03-15 10:42:39');
INSERT INTO `record` VALUES ('90', '19999999999', 'www.a.com', '2017-03-15 11:47:48');
INSERT INTO `record` VALUES ('91', '19999999999', 'www.a.com', '2017-03-15 11:49:04');
INSERT INTO `record` VALUES ('92', '19999999999', 'www.a.com', '2017-03-15 11:49:10');
INSERT INTO `record` VALUES ('93', '19999999999', 'www.a.com', '2017-03-15 11:52:25');
INSERT INTO `record` VALUES ('94', '19999999999', 'www.a.com', '2017-03-15 11:52:35');
INSERT INTO `record` VALUES ('95', '19999999999', 'www.a.com', '2017-03-15 11:53:06');
INSERT INTO `record` VALUES ('96', '19999999999', 'www.daoyi027.com', '2017-03-15 11:54:35');
INSERT INTO `record` VALUES ('97', '19999999999', 'www.a.com', '2017-03-15 11:55:41');
INSERT INTO `record` VALUES ('98', '19999999999', 'www.a.com', '2017-03-15 11:56:01');
INSERT INTO `record` VALUES ('99', '19999999999', 'www.a.com', '2017-03-15 11:56:17');
INSERT INTO `record` VALUES ('100', '19999999999', 'www.a.com', '2017-03-15 11:56:34');
INSERT INTO `record` VALUES ('101', '19999999999', 'www.b.com', '2017-03-15 11:58:33');
INSERT INTO `record` VALUES ('102', '19999999999', 'www.a.com', '2017-03-15 11:58:57');
INSERT INTO `record` VALUES ('103', '19999999999', 'www.a.com', '2017-03-15 11:59:58');
INSERT INTO `record` VALUES ('104', '19999999999', 'www.a.com', '2017-03-15 12:00:37');
INSERT INTO `record` VALUES ('105', '19999999999', 'www.a.com', '2017-03-15 12:00:50');
INSERT INTO `record` VALUES ('106', '19999999999', 'www.a.com', '2017-03-15 14:28:10');
INSERT INTO `record` VALUES ('107', '19999999999', 'www.a.com', '2017-03-15 15:13:09');
INSERT INTO `record` VALUES ('108', '19999999999', 'www.a.com', '2017-03-15 15:15:29');
INSERT INTO `record` VALUES ('109', '19999999999', 'www.a.com', '2017-03-15 15:28:36');
INSERT INTO `record` VALUES ('110', '19999999999', 'www.a.com', '2017-03-15 16:18:30');
INSERT INTO `record` VALUES ('111', '19999999999', 'www.a.com', '2017-03-15 16:23:36');
INSERT INTO `record` VALUES ('112', '19999999999', 'www.a.com', '2017-03-15 16:27:39');
INSERT INTO `record` VALUES ('113', '19999999999', 'www.a.com', '2017-03-15 16:32:31');
INSERT INTO `record` VALUES ('114', '19999999999', 'www.a.com', '2017-03-15 16:32:47');
INSERT INTO `record` VALUES ('115', '19999999999', 'www.a.com', '2017-03-15 16:34:33');
INSERT INTO `record` VALUES ('116', '19999999999', 'www.a.com', '2017-03-15 16:36:11');
INSERT INTO `record` VALUES ('117', '19999999999', 'www.a.com', '2017-03-15 16:38:26');
INSERT INTO `record` VALUES ('118', '19999999999', 'www.a.com', '2017-03-15 16:40:32');
INSERT INTO `record` VALUES ('119', '19999999999', 'www.a.com', '2017-03-15 16:42:48');
INSERT INTO `record` VALUES ('120', '19999999999', 'www.a.com', '2017-03-15 16:49:22');
INSERT INTO `record` VALUES ('121', '19999999999', 'www.a.com', '2017-03-15 16:49:57');
INSERT INTO `record` VALUES ('122', '19999999999', 'www.a.com', '2017-03-15 16:52:18');
INSERT INTO `record` VALUES ('123', '19999999999', 'www.a.com', '2017-03-15 16:52:52');
INSERT INTO `record` VALUES ('124', '19999999999', 'www.a.com', '2017-03-15 16:59:00');
INSERT INTO `record` VALUES ('125', '19999999999', 'www.a.com', '2017-03-15 17:07:55');
INSERT INTO `record` VALUES ('126', '19999999999', 'www.a.com', '2017-03-15 17:20:16');
INSERT INTO `record` VALUES ('127', '19999999999', 'www.a.com', '2017-03-15 17:21:13');
INSERT INTO `record` VALUES ('128', '19999999999', 'www.a.com', '2017-03-15 17:22:07');
INSERT INTO `record` VALUES ('129', '19999999999', 'www.a.com', '2017-03-15 17:22:49');
INSERT INTO `record` VALUES ('130', '19999999999', 'www.a.com', '2017-03-15 17:24:37');
INSERT INTO `record` VALUES ('131', '19999999999', 'www.a.com', '2017-03-15 17:25:44');
INSERT INTO `record` VALUES ('132', '19999999999', 'www.a.com', '2017-03-16 10:08:09');
INSERT INTO `record` VALUES ('133', '19999999999', 'www.a.com', '2017-03-16 10:10:04');
INSERT INTO `record` VALUES ('134', '19999999999', 'www.a.com', '2017-03-16 10:11:32');
INSERT INTO `record` VALUES ('135', '19999999999', 'www.a.com', '2017-03-16 10:13:01');
INSERT INTO `record` VALUES ('136', '19999999999', 'www.a.com', '2017-03-16 10:16:39');
INSERT INTO `record` VALUES ('137', '19999999999', 'www.a.com', '2017-03-16 10:18:19');
INSERT INTO `record` VALUES ('138', '19999999999', 'www.a.com', '2017-03-16 10:18:59');
INSERT INTO `record` VALUES ('139', '19999999999', 'www.a.com', '2017-03-16 10:20:19');
INSERT INTO `record` VALUES ('140', '19999999999', 'www.a.com', '2017-03-16 10:26:14');
INSERT INTO `record` VALUES ('141', '19999999999', 'www.a.com', '2017-03-16 10:27:26');
INSERT INTO `record` VALUES ('142', '19999999999', 'www.a.com', '2017-03-16 10:35:54');
INSERT INTO `record` VALUES ('143', '19999999999', 'www.daoyi027.com', '2017-03-16 10:50:51');
INSERT INTO `record` VALUES ('144', '19999999999', 'www.a.com', '2017-03-16 10:51:27');
INSERT INTO `record` VALUES ('145', '19999999999', 'www.daoyi027.com', '2017-03-16 10:53:16');
INSERT INTO `record` VALUES ('146', '19999999999', 'www.a.com', '2017-03-16 10:55:27');
INSERT INTO `record` VALUES ('147', '19999999999', 'www.a.com', '2017-03-16 10:55:37');
INSERT INTO `record` VALUES ('148', '19999999999', 'www.a.com', '2017-03-16 11:01:46');
INSERT INTO `record` VALUES ('149', '19999999999', 'www.a.com', '2017-03-16 11:12:05');
INSERT INTO `record` VALUES ('150', '19999999999', 'www.a.com', '2017-03-16 13:07:38');
INSERT INTO `record` VALUES ('151', '19999999999', 'www.a.com', '2017-03-16 13:08:45');
INSERT INTO `record` VALUES ('152', '19999999999', 'www.a.com', '2017-03-16 13:11:16');
INSERT INTO `record` VALUES ('153', '19999999999', 'www.a.com', '2017-03-16 13:20:52');
INSERT INTO `record` VALUES ('154', '19999999999', 'www.a.com', '2017-03-16 13:22:28');
INSERT INTO `record` VALUES ('155', '19999999999', 'www.a.com', '2017-03-16 13:23:00');
INSERT INTO `record` VALUES ('156', '19999999999', 'www.a.com', '2017-03-16 13:23:24');
INSERT INTO `record` VALUES ('157', '19999999999', 'www.a.com', '2017-03-16 13:25:03');
INSERT INTO `record` VALUES ('158', '19999999999', 'www.daoyi027.com', '2017-03-16 13:25:56');
INSERT INTO `record` VALUES ('159', '19999999999', 'www.daoyi027.com', '2017-03-16 13:26:14');
INSERT INTO `record` VALUES ('160', '19999999999', 'www.daoyi027.com', '2017-03-16 13:27:55');
INSERT INTO `record` VALUES ('161', '19999999999', 'www.daoyi027.com', '2017-03-16 13:31:27');
INSERT INTO `record` VALUES ('162', '19999999999', 'www.daoyi027.com', '2017-03-16 13:35:35');
INSERT INTO `record` VALUES ('163', '19999999999', 'www.daoyi027.com', '2017-03-16 13:38:25');
INSERT INTO `record` VALUES ('164', '19999999999', 'www.daoyi027.com', '2017-03-16 13:42:11');
INSERT INTO `record` VALUES ('165', '19999999999', 'www.daoyi027.com', '2017-03-16 13:43:41');
INSERT INTO `record` VALUES ('166', '19999999999', 'www.daoyi027.com', '2017-03-16 13:43:49');
INSERT INTO `record` VALUES ('167', '19999999999', 'www.daoyi027.com', '2017-03-16 13:44:06');
INSERT INTO `record` VALUES ('168', '19999999999', 'www.daoyi027.com', '2017-03-16 13:45:09');
INSERT INTO `record` VALUES ('169', '19999999999', 'www.daoyi027.com', '2017-03-16 13:45:21');
INSERT INTO `record` VALUES ('170', '19999999999', 'www.daoyi027.com', '2017-03-16 13:46:10');
INSERT INTO `record` VALUES ('171', '19999999999', 'www.daoyi027.com', '2017-03-16 14:01:55');
INSERT INTO `record` VALUES ('172', '19999999999', 'www.daoyi027.com', '2017-03-16 14:02:15');
INSERT INTO `record` VALUES ('173', '19999999999', 'www.daoyi027.com', '2017-03-16 14:43:13');
INSERT INTO `record` VALUES ('174', '19999999999', 'www.daoyi027.com', '2017-03-16 14:44:23');
INSERT INTO `record` VALUES ('175', '19999999999', 'www.b.com', '2017-03-16 14:46:04');
INSERT INTO `record` VALUES ('176', '19999999999', 'www.b.com', '2017-03-16 14:46:17');
INSERT INTO `record` VALUES ('177', '19999999999', 'www.daoyi027.com', '2017-03-16 14:56:52');
INSERT INTO `record` VALUES ('178', '19999999999', 'www.daoyi027.com', '2017-03-16 14:58:59');
INSERT INTO `record` VALUES ('179', '19999999999', 'www.a.com', '2017-03-16 14:59:48');
INSERT INTO `record` VALUES ('180', '19999999999', 'www.a.com', '2017-03-16 15:01:47');
INSERT INTO `record` VALUES ('181', '19999999999', 'www.a.com', '2017-03-16 15:03:27');
INSERT INTO `record` VALUES ('182', '19999999999', 'www.a.com', '2017-03-16 15:15:07');
INSERT INTO `record` VALUES ('183', '19999999999', 'www.a.com', '2017-03-16 15:17:03');
INSERT INTO `record` VALUES ('184', '19999999999', 'www.a.com', '2017-03-16 15:19:43');
INSERT INTO `record` VALUES ('185', '19999999999', 'www.a.com', '2017-03-16 15:38:23');
INSERT INTO `record` VALUES ('186', '19999999999', 'www.a.com', '2017-03-16 15:53:02');
INSERT INTO `record` VALUES ('187', '19999999999', 'www.a.com', '2017-03-16 16:00:23');
INSERT INTO `record` VALUES ('188', '19999999999', 'www.a.com', '2017-03-16 16:02:58');
INSERT INTO `record` VALUES ('189', '19999999999', 'www.a.com', '2017-03-16 16:03:15');
INSERT INTO `record` VALUES ('190', '19999999999', 'www.a.com', '2017-03-16 16:03:48');
INSERT INTO `record` VALUES ('191', '19999999999', 'www.a.com', '2017-03-16 16:04:15');
INSERT INTO `record` VALUES ('192', '19999999999', 'www.daoyi027.com', '2017-03-16 16:10:27');
INSERT INTO `record` VALUES ('193', '19999999999', 'www.daoyi027.com', '2017-03-16 16:10:42');
INSERT INTO `record` VALUES ('194', '19999999999', 'www.b.com', '2017-03-16 16:10:54');
INSERT INTO `record` VALUES ('195', '19999999999', 'www.a.com', '2017-03-16 16:19:28');
INSERT INTO `record` VALUES ('196', '19999999999', 'www.a.com', '2017-03-16 16:19:57');
INSERT INTO `record` VALUES ('197', '19999999999', 'www.a.com', '2017-03-16 17:05:21');
INSERT INTO `record` VALUES ('198', '19999999999', 'www.a.com', '2017-03-16 17:07:27');
INSERT INTO `record` VALUES ('199', '19999999999', 'www.a.com', '2017-03-16 17:08:39');
INSERT INTO `record` VALUES ('200', '19999999999', 'www.a.com', '2017-03-16 17:10:41');
INSERT INTO `record` VALUES ('201', '19999999999', 'www.a.com', '2017-03-16 17:11:52');
INSERT INTO `record` VALUES ('202', '19999999999', 'www.a.com', '2017-03-16 17:12:21');
INSERT INTO `record` VALUES ('203', '19999999999', 'www.a.com', '2017-03-16 17:14:18');
INSERT INTO `record` VALUES ('204', '19999999999', 'www.a.com', '2017-03-16 17:15:35');
INSERT INTO `record` VALUES ('205', '19999999999', 'www.b.com', '2017-03-16 17:16:19');
INSERT INTO `record` VALUES ('206', '19999999999', 'www.b.com', '2017-03-16 17:20:00');
INSERT INTO `record` VALUES ('207', '19999999999', 'www.b.com', '2017-03-16 17:21:23');
INSERT INTO `record` VALUES ('208', '19999999999', 'www.b.com', '2017-03-16 17:24:07');
INSERT INTO `record` VALUES ('209', '19999999999', 'www.b.com', '2017-03-16 17:24:11');
INSERT INTO `record` VALUES ('210', '19999999999', 'www.a.com', '2017-03-16 17:25:49');
INSERT INTO `record` VALUES ('211', '19999999999', 'www.a.com', '2017-03-16 17:37:06');
INSERT INTO `record` VALUES ('212', '19999999999', 'www.a.com', '2017-03-16 17:37:41');
INSERT INTO `record` VALUES ('213', '19999999999', 'www.a.com', '2017-03-16 17:37:49');
INSERT INTO `record` VALUES ('214', '19999999999', 'www.a.com', '2017-03-16 17:39:31');
INSERT INTO `record` VALUES ('215', '19999999999', 'www.a.com', '2017-03-16 17:40:19');
INSERT INTO `record` VALUES ('216', '19999999999', 'www.a.com', '2017-03-16 17:40:26');
INSERT INTO `record` VALUES ('217', '19999999999', 'www.a.com', '2017-03-16 17:41:26');
INSERT INTO `record` VALUES ('218', '19999999999', 'www.a.com', '2017-03-16 17:41:33');
INSERT INTO `record` VALUES ('219', '19999999999', 'www.b.com', '2017-03-16 17:41:42');
INSERT INTO `record` VALUES ('220', '19999999999', 'www.b.com', '2017-03-16 17:41:50');
INSERT INTO `record` VALUES ('221', '19999999999', 'www.a.com', '2017-03-16 17:42:45');
INSERT INTO `record` VALUES ('222', '19999999999', 'www.a.com', '2017-03-17 10:05:43');
INSERT INTO `record` VALUES ('223', '19999999999', 'www.a.com', '2017-03-17 10:06:04');
INSERT INTO `record` VALUES ('224', '19999999999', 'www.daoyi027.com', '2017-03-17 10:07:26');
INSERT INTO `record` VALUES ('225', '19999999999', 'www.daoyi027.com', '2017-03-17 10:07:39');
INSERT INTO `record` VALUES ('226', '19999999999', 'www.a.com', '2017-03-17 10:07:54');
INSERT INTO `record` VALUES ('227', '19999999999', 'www.a.com', '2017-03-17 10:13:24');
INSERT INTO `record` VALUES ('228', '19999999999', 'www.a.com', '2017-03-17 10:13:38');
INSERT INTO `record` VALUES ('229', '19999999999', 'www.a.com', '2017-03-17 10:27:04');
INSERT INTO `record` VALUES ('230', '19999999999', 'www.a.com', '2017-03-17 10:46:27');
INSERT INTO `record` VALUES ('231', '19999999999', 'www.a.com', '2017-03-17 10:53:50');
INSERT INTO `record` VALUES ('232', '19999999999', 'www.a.com', '2017-03-17 11:23:55');
INSERT INTO `record` VALUES ('233', '19999999999', 'www.a.com', '2017-03-17 11:25:26');
INSERT INTO `record` VALUES ('234', '19999999999', 'www.a.com', '2017-03-17 11:26:41');
INSERT INTO `record` VALUES ('235', '19999999999', 'www.a.com', '2017-03-17 11:35:52');
INSERT INTO `record` VALUES ('236', '19999999999', 'www.a.com', '2017-03-17 11:38:16');
INSERT INTO `record` VALUES ('237', '19999999999', 'www.a.com', '2017-03-17 12:38:22');
INSERT INTO `record` VALUES ('238', '19999999999', 'www.a.com', '2017-03-17 12:41:44');
INSERT INTO `record` VALUES ('239', '19999999999', 'www.a.com', '2017-03-17 12:42:19');
INSERT INTO `record` VALUES ('240', '19999999999', 'www.a.com', '2017-03-17 12:42:22');
INSERT INTO `record` VALUES ('241', '19999999999', 'www.a.com', '2017-03-17 12:43:00');
INSERT INTO `record` VALUES ('242', '19999999999', 'www.a.com', '2017-03-17 12:45:12');
INSERT INTO `record` VALUES ('243', '19999999999', 'www.a.com', '2017-03-17 12:46:29');
INSERT INTO `record` VALUES ('244', '19999999999', 'www.a.com', '2017-03-17 12:46:30');
INSERT INTO `record` VALUES ('245', '19999999999', 'www.a.com', '2017-03-17 12:57:57');
INSERT INTO `record` VALUES ('246', '19999999999', 'www.a.com', '2017-03-17 12:57:59');
INSERT INTO `record` VALUES ('247', '19999999999', 'www.a.com', '2017-03-17 12:58:31');
INSERT INTO `record` VALUES ('248', '19999999999', 'www.a.com', '2017-03-17 13:00:20');
INSERT INTO `record` VALUES ('249', '19999999999', 'www.a.com', '2017-03-17 13:05:02');
INSERT INTO `record` VALUES ('250', '19999999999', 'www.a.com', '2017-03-17 13:06:31');
INSERT INTO `record` VALUES ('251', '19999999999', 'www.a.com', '2017-03-17 13:30:22');
INSERT INTO `record` VALUES ('252', '19999999999', 'www.a.com', '2017-03-17 13:31:33');
INSERT INTO `record` VALUES ('253', '19999999999', 'www.a.com', '2017-03-17 13:34:07');
INSERT INTO `record` VALUES ('254', '19999999999', 'www.a.com', '2017-03-17 14:01:21');
INSERT INTO `record` VALUES ('255', '19999999999', 'www.a.com', '2017-03-17 14:01:50');
INSERT INTO `record` VALUES ('256', '19999999999', 'www.a.com', '2017-03-17 15:40:16');
INSERT INTO `record` VALUES ('257', '19999999999', 'www.a.com', '2017-03-17 15:41:56');
INSERT INTO `record` VALUES ('258', '19999999999', 'www.a.com', '2017-03-17 15:50:07');
INSERT INTO `record` VALUES ('259', '19999999999', 'www.a.com', '2017-03-17 15:51:57');
INSERT INTO `record` VALUES ('260', '19999999999', 'www.a.com', '2017-03-17 15:58:32');
INSERT INTO `record` VALUES ('261', '19999999999', 'www.a.com', '2017-03-17 16:00:27');
INSERT INTO `record` VALUES ('262', '19999999999', 'www.a.com', '2017-03-17 16:00:49');
INSERT INTO `record` VALUES ('263', '19999999999', 'www.a.com', '2017-03-17 16:01:21');
INSERT INTO `record` VALUES ('264', '19999999999', 'www.a.com', '2017-03-17 16:02:10');
INSERT INTO `record` VALUES ('265', '19999999999', 'www.a.com', '2017-03-17 16:03:22');
INSERT INTO `record` VALUES ('266', '19999999999', 'www.a.com', '2017-03-17 16:03:53');
INSERT INTO `record` VALUES ('267', '19999999999', 'www.a.com', '2017-03-17 16:06:43');
INSERT INTO `record` VALUES ('268', '19999999999', 'www.a.com', '2017-03-17 16:07:26');
INSERT INTO `record` VALUES ('269', '19999999999', 'www.a.com', '2017-03-17 16:08:05');
INSERT INTO `record` VALUES ('270', '19999999999', 'www.a.com', '2017-03-17 16:10:43');
INSERT INTO `record` VALUES ('271', '19999999999', 'www.a.com', '2017-03-17 16:16:02');
INSERT INTO `record` VALUES ('272', '19999999999', 'www.a.com', '2017-03-17 16:17:00');
INSERT INTO `record` VALUES ('273', '19999999999', 'www.a.com', '2017-03-17 16:17:40');
INSERT INTO `record` VALUES ('274', '19999999999', 'www.a.com', '2017-03-17 16:21:07');
INSERT INTO `record` VALUES ('275', '19999999999', 'www.a.com', '2017-03-17 16:23:00');
INSERT INTO `record` VALUES ('276', '19999999999', 'www.a.com', '2017-03-17 16:23:24');
INSERT INTO `record` VALUES ('277', '19999999999', 'www.a.com', '2017-03-17 16:24:14');
INSERT INTO `record` VALUES ('278', '19999999999', 'www.a.com', '2017-03-17 16:25:19');
INSERT INTO `record` VALUES ('279', '19999999999', 'www.a.com', '2017-03-17 16:25:41');
INSERT INTO `record` VALUES ('280', '19999999999', 'www.a.com', '2017-03-17 16:26:02');
INSERT INTO `record` VALUES ('281', '19999999999', 'www.a.com', '2017-03-17 16:26:54');
INSERT INTO `record` VALUES ('282', '19999999999', 'www.a.com', '2017-03-17 16:26:58');
INSERT INTO `record` VALUES ('283', '19999999999', 'www.a.com', '2017-03-17 16:28:00');
INSERT INTO `record` VALUES ('284', '19999999999', 'www.a.com', '2017-03-17 16:28:35');
INSERT INTO `record` VALUES ('285', '19999999999', 'www.a.com', '2017-03-17 16:29:26');
INSERT INTO `record` VALUES ('286', '19999999999', 'www.a.com', '2017-03-17 16:30:05');
INSERT INTO `record` VALUES ('287', '19999999999', 'www.a.com', '2017-03-17 16:35:53');
INSERT INTO `record` VALUES ('288', '19999999999', 'www.a.com', '2017-03-17 16:38:09');
INSERT INTO `record` VALUES ('289', '19999999999', 'www.b.com', '2017-03-17 16:42:25');
INSERT INTO `record` VALUES ('290', '19999999999', 'www.b.com', '2017-03-17 16:43:02');
INSERT INTO `record` VALUES ('291', '19999999999', 'www.a.com', '2017-03-17 16:43:07');
|
INSERT INTO users (name, email, password, is_staff)
VALUES ('zach', 'placeholderemail', 'placeholderpassword', 'true');
INSERT INTO decks (title, author, is_public) VALUES
('Regular Expressions', 1, 'false'),
('Vim Commands', 1, 'false');
INSERT INTO cards (deck_id, placement, front, back) VALUES
(1, 1, '\w', 'word character'),
(1, 2, '\d', 'digit'),
(1, 3, '[ ]', 'character set: match any character in the set'),
(1, 4, '\s', 'whitespace'),
(1, 5, '.', 'match any character except line breaks'),
(1, 6, '^', 'matches the beginning of the string'),
(1, 7, '$', 'matches the end of the string'),
(2, 1, 'w', 'move cursor forward by one word'),
(2, 2, 'b', 'move cursor backward by one word'),
(2, 3, 'A', 'append text to the end of the current line'),
(2, 4, ':q', 'quit'),
(2, 5, 'o (lowercase)', 'open new line after current line'),
(2, 6, 'O (uppercase)', 'open new line before current line'),
(2, 7, '$', 'move cursor to the end of the current line'),
(2, 8, '0', 'move cursor to the beginning of the current line'),
(2, 9, ':wq', 'save and quit'),
(2, 10, 'i', 'insert text before current cursor position'); |
/*
Navicat MySQL Data Transfer
Source Server : 开放微擎(共赢2)
Source Server Version : 50641
Source Host : localhost:3306
Source Database : www_meishanc_co
Target Server Type : MYSQL
Target Server Version : 50641
File Encoding : 65001
Date: 2020-02-27 12:11:43
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `ims_ewei_shop_wxapp_subscribe`
-- ----------------------------
DROP TABLE IF EXISTS `ims_ewei_shop_wxapp_subscribe`;
CREATE TABLE `ims_ewei_shop_wxapp_subscribe` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`uniacid` int(11) NOT NULL,
`type` varchar(20) NOT NULL,
`templateid` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of ims_ewei_shop_wxapp_subscribe
-- ----------------------------
INSERT INTO `ims_ewei_shop_wxapp_subscribe` VALUES ('1', '48', 'pay', 'lBPEJ1I7rs-g7BkQ7T04baE7iSGhR0sakjLd7xf_5jI');
INSERT INTO `ims_ewei_shop_wxapp_subscribe` VALUES ('2', '48', 'send', 'XByHQCvKHQ9boBnT9DZ_SH0lH5Za1Zrpjm2Sgzq_m0M');
INSERT INTO `ims_ewei_shop_wxapp_subscribe` VALUES ('3', '48', 'autosend', 'XByHQCvKHQ9boBnT9DZ_SF54yZ-qm3sfdTnIdv91SI8');
INSERT INTO `ims_ewei_shop_wxapp_subscribe` VALUES ('4', '48', 'receive', 'V7PB_po7I8UcdWuLiHYHAlSgaHIXbReLluAV_wfaYVg');
|
--#################################################################
set nocount on;
-- select Type, count(*) from (
-- select Type, SubType, Code, Label, StateCode, Sequence
select Type, SubType, StateCode, Code, Label, Sequence, case StateCode when '' then 'N' else 'Y' end DisplayInUI
from (
-- *************** Ethnicity *****************************************************
select
LookupOrder = cast(1 as int),
Type = 'Ethnic',
SubType = '',
Code,
Label = LookDesc,
StateCode = isnull(StateCode,''),
Sequence = cast(0 as int)
from CodeDescLook
where UsageID = 'Ethnicity'
-- *************** GradeLevel *****************************************************
UNION ALL
select -- these need to be mapped with the grades in the database
LookupOrder = cast(2 as int),
Type = 'Grade',
SubType = '',
Code = OldGrade,
Label = OldGrade,
StateCode = OldGrade,
Sequence = 0
from Grade
-- *************** Gender *****************************************************
UNION ALL
select
LookupOrder = cast(3 as int),
Type = cast('Gender' as varchar(10)),
SubType = '',
Code = cast(Code as varchar(10)),
Label = cast(Label as varchar(254)),
StateCode = cast(StateCode as varchar(10)),
Sequence = 0
from (
select 'M' Code, 'Male' Label, '01' StateCode
union all
select 'F', 'Female', '02'
) g
-- *************** Exceptionality =** Disability *****************************************************
UNION ALL
select
LookupOrder = cast(4 as int),
Type = 'Disab',
SubType = '',
DisabilityID,
Label = DisabDesc,
StateCode = DisabilityID,
Sequence = cast(0 as int)
From DisabilityLook
where DisabilityID <> 'NA'
-- *************** SpedExitReason *****************************************************
UNION ALL
select
LookupOrder = cast(5 as int),
Type = 'Exit',
SubType = '',
Code,
Label = LookDesc,
StateCode = isnull(StateCode, ''),
Sequence = cast(0 as int)
from CodeDescLook
where UsageID = 'SpEdReas'
-- *************** LRE *****************************************************
UNION ALL
select ---------------------- narrow this down to only those LREs we are importing
LookupOrder = cast(6 as int),
Type = 'LRE', --- NOTE that Pete probably already mapped these
SubType = case
when Code between '100' and '199' then 'Infant'
when Code between '200' and '299' then 'PK'
when Code between '300' and '399' then 'K12'
-- else ''
end,
Code,
Label = LookDesc,
StateCode = isnull(Code,''),
Sequence = cast(0 as int)
from CodeDescLook
where UsageID = 'LRESetting'
and Code between '100' and '399'
-- *************** Service *****************************************************
UNION ALL
-- select
-- LookupOrder = cast(7 as int),
-- Type = 'Service',
-- SubType = 'SpecialEd', -- Jeanne indicated that all services in the EO db are SpEd, no related
-- Code,
-- Label = LookDesc,
-- StateCode = isnull(StateCode,''),
-- Sequence = cast(0 as int)
--from CodeDescLook
--where UsageID = 'SpecInst'
select
LookupOrder = cast(7 as int),
Type = 'Service',
SubType = 'SpecialEd',
Code = 'ZZZ',
Label = 'Manually Entered Service',
StateCode = '',
Sequence = cast(0 as int)
-- *************** ServiceLocationCode *****************************************************
-- UNION ALL
-- select
-- Type = 'ServLoc',
-- SubType = '',
-- DisabilityID,
-- Label = DisabDesc,
-- StateCode = isnull(StateCode,''),
-- Sequence = cast(0 as int)
--from
-- *************** Provider *****************************************************
UNION ALL
select
LookupOrder = cast(8 as int),
Type = 'ServProv',
SubType = '', -- Jeanne indicated that all services in the EO db are SpEd, no related
Code,
Label,
StateCode = '',
Sequence = cast(0 as int)
from -- select top 10 * from servicetbl -- select * from ProviderTbl -- select * from staff
(select distinct Code = k.LookupDesc, Label = k.LookupDesc from SpecialEdStudentsAndIEPs i join ServiceTbl v on i.gstudentid = v.gstudentid join DescLook k on v.ProvDesc = k.LookupDesc where k.UsageID = 'Title') t
-- *************** ServiceFrequency *****************************************************
UNION ALL
select
LookupOrder = cast(9 as int),
Type = 'ServFreq', -- these are already in the database but we need to map to them
SubType = '',
Code,
Label = LookDesc,
StateCode = isnull(StateCode,''),
Sequence = cast(0 as int)
from CodeDescLook
where UsageID = 'ServPer'
-- *************** GoalArea *****************************************************
UNION ALL
select
LookupOrder = cast(10 as int),
Type = 'GoalArea',
SubType = '',
Code,
Label = LookDesc,
StateCode = isnull(StateCode,''),
Sequence = cast(0 as int)
from CodeDescLook
where UsageID = 'Banks'
and Code in (select distinct GoalCode from SpecialEdStudentsAndIEPs i join GoalTbl g on i.gstudentid = g.gstudentid where g.IEPStatus = 1 and isnull(g.del_flag,0)=0)
) t
order by LookupOrder, Code
|
--
-- SEDESOL : DataLab
-- Athena - PUB table definition
--
-- Cleaned table
CREATE EXTERNAL TABLE IF NOT EXISTS athena_pub.pub_cleaned (
categoriaedad STRING,
cdbeneficio STRING,
cddependencia STRING,
cdestatusben STRING,
cdestatushog STRING,
cdinstitucion STRING,
cdintraprograma STRING,
cdmetpago STRING,
cdpadron STRING,
cdparentesco STRING,
cdprograma STRING,
cdsexo STRING,
cdtipobeneficio STRING,
nombretipobeneficio STRING,
cdtipoexpedicion STRING,
cveent STRING,
cveentpago STRING,
cveloc STRING,
cvelocpago STRING,
cvemuni STRING,
cvemunipago STRING,
fechaalta STRING,
fechalevantamiento STRING,
fhnacimiento STRING,
idadmin STRING,
idagrupador STRING,
idcuisps STRING,
idcuissedesol STRING,
idhogar STRING,
idpersona STRING,
idregistro STRING,
incorresp STRING,
inhuella STRING,
iniris STRING,
intitular STRING,
mescorresp INT,
nbnombre STRING,
nbperiodocorresp STRING,
nbprimerap STRING,
nbprograma STRING,
nbsegundoap STRING,
nbsubprograma STRING,
nbsubprograma1 STRING,
newid STRING,
noment STRING,
nomloc STRING,
nommun STRING,
nubeneficios STRING,
nuimpmonetario INT,
origen STRING,
periodo STRING,
tipobeneficiario STRING,
programatipo STRING,
iduni STRING,
nombresubp1 STRING,
nombreprograma STRING,
nbdependencia STRING,
nbdepencorto STRING)
PARTITIONED BY (anio STRING, numespago STRING)
STORED AS PARQUET
LOCATION 's3://publicaciones-sedesol/pub-cleaned/';
-- Re create partitions
msck repair table athena_pub.pub_cleaned;
--Publication table
CREATE EXTERNAL TABLE IF NOT EXISTS athena_pub.pub_public (
categoriaedad STRING,
cdbeneficio STRING,
cddependencia STRING,
cdinstitucion STRING,
cdpadron STRING,
cdprograma STRING,
cdsexo STRING,
cdtipobeneficio STRING,
nombretipobeneficio STRING,
cveent STRING,
cveentpago STRING,
cvemuni STRING,
cvemunipago STRING,
mescorresp INT,
nbnombre STRING,
nbprimerap STRING,
nbprograma STRING,
nbsegundoap STRING,
newid STRING,
noment STRING,
nommun STRING,
nubeneficios STRING,
nuimpmonetario INT,
origen STRING,
periodo STRING,
programatipo STRING,
nombresubp1 STRING,
nombreprograma STRING,
nbdependencia STRING,
nbdepencorto STRING )
PARTITIONED BY (anio STRING, numespago STRING)
STORED AS PARQUET
LOCATION 's3://publicaciones-sedesol/pub-publicacion/';
-- Re create partitions
msck repair table athena_pub.pub_public
|
-- Providing Meaningful Names for Columns AKA Aliases
-- USE an AS clause, some DBMS do not require them
SELECT "SAL" AS Salary, "COMM" AS Commission
from emp; |
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-- version 3.3.9
-- http://www.phpmyadmin.net
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-- Host: localhost
-- Generation Time: Jan 24, 2017 at 03:54 PM
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SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
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/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `smsdb`
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-- --------------------------------------------------------
--
-- Table structure for table `student_info`
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CREATE TABLE IF NOT EXISTS `student_info` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`name` text NOT NULL,
`dob` text NOT NULL,
`fname` text NOT NULL,
`mname` text NOT NULL,
`sex` text NOT NULL,
`nationality` text NOT NULL,
`religion` text NOT NULL,
`blood` text NOT NULL,
`subject` text NOT NULL,
`admission` text NOT NULL,
`address` text NOT NULL,
`studentid` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
--
-- Dumping data for table `student_info`
--
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE IF NOT EXISTS `user` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`un` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`id`, `un`) VALUES
(1, 'kazi'),
(3, 'bitto');
|
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-- Host: 127.0.0.1
-- Generation Time: Mar 01, 2021 at 10:45 AM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.4.6
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
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/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `osms`
--
-- --------------------------------------------------------
--
-- Table structure for table `employees`
--
CREATE TABLE `employees` (
`employee_id` bigint(20) UNSIGNED NOT NULL,
`employee_name` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_designation` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_phone` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_email` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_office_id` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_image` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_slug` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_creator` int(11) NOT NULL,
`employee_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `employees`
--
INSERT INTO `employees` (`employee_id`, `employee_name`, `employee_designation`, `employee_phone`, `employee_email`, `employee_office_id`, `employee_image`, `employee_slug`, `employee_creator`, `employee_status`, `created_at`, `updated_at`) VALUES
(2, 'Abu Bokkor Farhan', 'Something', '01868362878', 'farhanbokkor@gmail.com', '2222', '', 'E601e7a916f4b0', 1, 1, '2021-02-06 11:16:33', '2021-02-10 08:12:42'),
(5, 'Karim Khan', 'officer', '01758484364', 'karim@gmail.com', '5971', 'Employee_5_1612880896.jpg', 'E60229c0068693', 1, 1, '2021-02-09 14:28:16', '2021-02-09 15:32:21');
-- --------------------------------------------------------
--
-- Table structure for table `failed_jobs`
--
CREATE TABLE `failed_jobs` (
`id` bigint(20) UNSIGNED NOT NULL,
`connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
`queue` text COLLATE utf8mb4_unicode_ci NOT NULL,
`payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`failed_at` timestamp NOT NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for 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;
--
-- Dumping data for 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_08_19_000000_create_failed_jobs_table', 1),
(4, '2019_09_09_115434_create_user_roles_table', 2),
(5, '2019_09_16_104732_create_departments_table', 3),
(6, '2021_02_06_150627_create_product_categories_table', 4),
(7, '2021_02_06_151205_create_employees_table', 5),
(8, '2021_02_08_125936_create_products_table', 6),
(9, '2021_02_08_131112_create_product_purchases_table', 7),
(10, '2021_02_21_155628_create_product_requisitions_table', 8),
(11, '2021_02_21_190137_create_product_distributions_table', 9),
(12, '2021_02_22_120233_create_product_damages_table', 10);
-- --------------------------------------------------------
--
-- Table structure for 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;
--
-- Dumping data for table `password_resets`
--
INSERT INTO `password_resets` (`email`, `token`, `created_at`) VALUES
('uzzalbd.creative@gmail.com', '$2y$10$O3aDJ6Jd1ggblvOdOL98ne2mI0tYC/g2WebALYxDtfWdS5XiepU8y', '2019-09-09 07:11:28');
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`product_id` bigint(20) UNSIGNED NOT NULL,
`procate_id` int(11) NOT NULL,
`product_name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`product_details` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`product_remarks` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`product_image` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`product_slug` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`product_creator` int(11) DEFAULT NULL,
`product_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`product_id`, `procate_id`, `product_name`, `product_details`, `product_remarks`, `product_image`, `product_slug`, `product_creator`, `product_status`, `created_at`, `updated_at`) VALUES
(1, 1, 'Mobile', 'None lorem ipsum doller', '........', 'Product1-1612779452.jpg', '1612779452mobile', 1, 1, '2021-02-08 09:36:12', '2021-02-08 19:47:37'),
(3, 1, 'Pendrive', 'Pendrive', '...', NULL, '1613907478pendrive', 1, 1, '2021-02-21 11:37:58', '2021-02-23 19:27:23');
-- --------------------------------------------------------
--
-- Table structure for table `product_categories`
--
CREATE TABLE `product_categories` (
`procate_id` bigint(20) UNSIGNED NOT NULL,
`procate_name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`procate_remarks` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`procate_image` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`procate_slug` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`procate_creator` int(11) NOT NULL,
`procate_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `product_categories`
--
INSERT INTO `product_categories` (`procate_id`, `procate_name`, `procate_remarks`, `procate_image`, `procate_slug`, `procate_creator`, `procate_status`, `created_at`, `updated_at`) VALUES
(1, 'Electronic', NULL, NULL, 'PC_601eadaf8e404', 1, 1, '2021-02-09 05:02:17', '2021-02-07 04:47:34'),
(7, 'Medicine', NULL, NULL, 'PC6020fcaf45a52', 1, 1, '2021-02-08 08:56:15', '2021-02-10 09:20:13');
-- --------------------------------------------------------
--
-- Table structure for table `product_damages`
--
CREATE TABLE `product_damages` (
`damage_id` bigint(20) UNSIGNED NOT NULL,
`product_id` int(11) NOT NULL,
`damage_quantity` int(11) NOT NULL,
`damage_chalan` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`damage_remarks` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`damage_slug` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`damage_creator` int(11) NOT NULL,
`damage_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `product_damages`
--
INSERT INTO `product_damages` (`damage_id`, `product_id`, `damage_quantity`, `damage_chalan`, `damage_remarks`, `damage_slug`, `damage_creator`, `damage_status`, `created_at`, `updated_at`) VALUES
(1, 3, 1, 'C210101', 'Expired Date', 'PDa603b3152111af', 1, 1, '2021-02-28 05:59:46', NULL),
(2, 1, 4, 'C210102', 'Technical Problem', 'PDa603b31732f673', 1, 1, '2021-02-28 06:00:19', NULL),
(3, 3, 5, 'C210104', 'Not Working Device', 'PDa603ba7804b845', 1, 1, '2021-02-28 14:24:00', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `product_distributions`
--
CREATE TABLE `product_distributions` (
`pd_id` bigint(20) UNSIGNED NOT NULL,
`user_id` int(11) NOT NULL,
`pr_id` int(11) DEFAULT NULL,
`product_id` int(11) DEFAULT NULL,
`pd_code` varchar(20) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pd_quantity` int(11) DEFAULT NULL,
`pd_chalan` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pd_remarks` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pd_creator` int(11) DEFAULT NULL,
`pd_slug` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pd_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `product_distributions`
--
INSERT INTO `product_distributions` (`pd_id`, `user_id`, `pr_id`, `product_id`, `pd_code`, `pd_quantity`, `pd_chalan`, `pd_remarks`, `pd_creator`, `pd_slug`, `pd_status`, `created_at`, `updated_at`) VALUES
(1, 1, 2, 3, 'PD202111', 2, 'C210101', '...', 1, 'PD603b31090d7f0', 1, '2021-02-28 05:58:33', '2021-02-28 05:58:33'),
(2, 1, 1, 1, 'PD202112', 1, 'C210102', '...', 1, 'PD603b3117cc7d6', 1, '2021-02-28 05:58:47', '2021-02-28 05:58:47');
-- --------------------------------------------------------
--
-- Table structure for table `product_purchases`
--
CREATE TABLE `product_purchases` (
`purchase_id` bigint(20) UNSIGNED NOT NULL,
`product_id` int(11) NOT NULL,
`purchase_quantity` int(11) DEFAULT NULL,
`purchase_unit_price` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_sub_price` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_discount` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_total_price` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_date` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_brand` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_supplier` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_chalan` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_voucher` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_slug` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`purchase_creator` int(11) DEFAULT NULL,
`purchase_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `product_purchases`
--
INSERT INTO `product_purchases` (`purchase_id`, `product_id`, `purchase_quantity`, `purchase_unit_price`, `purchase_sub_price`, `purchase_discount`, `purchase_total_price`, `purchase_date`, `purchase_brand`, `purchase_supplier`, `purchase_chalan`, `purchase_voucher`, `purchase_slug`, `purchase_creator`, `purchase_status`, `created_at`, `updated_at`) VALUES
(1, 3, 20, '200', NULL, NULL, '4000', '2021-02-18', 'A4 Tech', 'Smart Tech', 'C210101', 'V210101', '1614491126-3', 1, 1, '2021-02-28 05:45:26', NULL),
(2, 1, 10, '5000', NULL, NULL, '50000', '2021-02-11', 'Samsung', 'Samsung Company', 'C210102', 'V210102', '1614491210-1', 1, 1, '2021-02-28 05:46:50', NULL),
(3, 3, 10, '300', NULL, NULL, '3000', '2021-02-20', 'Apace', 'Globe Company', 'C210103', 'V210103', '1614491335-3', 1, 1, '2021-02-28 05:48:55', NULL),
(4, 3, 15, '200', NULL, NULL, '3000', '2021-02-11', 'Normal', 'Raiyans Computer', 'C210104', 'V210104', '1614522106-3', 1, 1, '2021-02-28 14:21:46', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `product_requisitions`
--
CREATE TABLE `product_requisitions` (
`pr_id` bigint(20) UNSIGNED NOT NULL,
`user_id` int(11) NOT NULL,
`product_id` int(11) NOT NULL,
`pr_code` varchar(30) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pr_quantity` int(11) DEFAULT NULL,
`pr_remarks` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pr_slug` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`pr_requisition_status` int(11) NOT NULL DEFAULT 0,
`pr_status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `product_requisitions`
--
INSERT INTO `product_requisitions` (`pr_id`, `user_id`, `product_id`, `pr_code`, `pr_quantity`, `pr_remarks`, `pr_slug`, `pr_requisition_status`, `pr_status`, `created_at`, `updated_at`) VALUES
(1, 1, 1, 'PR202111', 1, '...', 'PR603b2f1a0f42b', 1, 1, '2021-02-28 05:50:18', '2021-02-28 05:58:47'),
(2, 1, 3, 'PR202112', 2, '...', 'PR603b2f289c2a0', 1, 1, '2021-02-28 05:50:32', '2021-02-28 05:58:33');
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`phone` varchar(20) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`designation` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`employee_id` varchar(20) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`photo` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`role_id` int(11) NOT NULL DEFAULT 7,
`slug` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`creator` int(11) DEFAULT NULL,
`status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `name`, `phone`, `email`, `email_verified_at`, `password`, `remember_token`, `designation`, `employee_id`, `photo`, `role_id`, `slug`, `creator`, `status`, `created_at`, `updated_at`) VALUES
(1, 'Saidul Islam Uzzal', '01710726035', 'uzzalbd.creative@gmail.com', NULL, '$2y$10$FT6089P.vxr3rIXi7ZDf7Oq61jcS2GafizxlTnRkpVkcJrdKTjKHq', NULL, 'Director General', '1121778', 'user_1_1568273089.jpg', 1, 'U219879672', 1, 1, '2019-09-12 07:24:49', '2019-09-12 07:24:49'),
(2, 'admin', NULL, 'admin@gmail.com', NULL, '$2y$10$pPXdjS.x.v2EB92fwqCHg.U4jfKpWMHk8t3q/gxI83cfHjvsFyufa', NULL, 'Director General', '1789023', 'user_2_1612939482.jpg', 1, 'U908761231', 1, 1, '2021-02-10 06:44:42', '2021-02-10 06:44:43'),
(3, 'Saidul', '01710726030', 'saidul@gmail.com', NULL, '$2y$10$b4EXjwY2N4VbCj0tGTgmP.Dr1O3Lo6kNnj6wc28qMRWwEvgT0lq9u', NULL, 'Web Developer', '1211122', NULL, 7, 'EMP6031f7759faf3', 1, 1, '2021-02-21 06:02:29', NULL),
(4, 'Shahin Alom', '01725191028', 'shahin@gmail.com', NULL, '$2y$10$yu7BEp09j6axu5UhRMgFfemsRNB4kds5uMUlnMdz.2ZvE4.MwzlCK', NULL, 'Director', '1278955', '', 7, 'EMP6031f775978t4', 1, 1, '2021-02-21 06:07:23', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `user_roles`
--
CREATE TABLE `user_roles` (
`role_id` bigint(20) UNSIGNED NOT NULL,
`role_name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`role_status` int(11) NOT NULL DEFAULT 1,
`role_slug` varchar(30) 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;
--
-- Dumping data for table `user_roles`
--
INSERT INTO `user_roles` (`role_id`, `role_name`, `role_status`, `role_slug`, `created_at`, `updated_at`) VALUES
(1, 'DG', 1, 'dg', '2019-09-09 01:00:00', NULL),
(2, 'DR', 1, 'dr', '2019-09-08 23:00:00', NULL),
(3, 'DD', 1, 'dd', '2019-09-09 00:00:00', NULL),
(4, 'AD', 1, 'ad', '2019-09-09 01:00:00', NULL),
(5, 'Store-Officer', 1, 'so', '2019-09-09 01:00:00', NULL),
(6, 'Store-Keeper', 1, 'sk', '2021-02-09 07:17:45', NULL),
(7, 'Employee', 1, 'emp', '2021-02-09 07:18:46', NULL);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `employees`
--
ALTER TABLE `employees`
ADD PRIMARY KEY (`employee_id`);
--
-- Indexes for table `failed_jobs`
--
ALTER TABLE `failed_jobs`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`product_id`),
ADD UNIQUE KEY `products_product_name_unique` (`product_name`);
--
-- Indexes for table `product_categories`
--
ALTER TABLE `product_categories`
ADD PRIMARY KEY (`procate_id`),
ADD UNIQUE KEY `product_categories_procate_name_unique` (`procate_name`);
--
-- Indexes for table `product_damages`
--
ALTER TABLE `product_damages`
ADD PRIMARY KEY (`damage_id`);
--
-- Indexes for table `product_distributions`
--
ALTER TABLE `product_distributions`
ADD PRIMARY KEY (`pd_id`);
--
-- Indexes for table `product_purchases`
--
ALTER TABLE `product_purchases`
ADD PRIMARY KEY (`purchase_id`);
--
-- Indexes for table `product_requisitions`
--
ALTER TABLE `product_requisitions`
ADD PRIMARY KEY (`pr_id`),
ADD UNIQUE KEY `product_requisitions_pr_code_unique` (`pr_code`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_email_unique` (`email`);
--
-- Indexes for table `user_roles`
--
ALTER TABLE `user_roles`
ADD PRIMARY KEY (`role_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `employees`
--
ALTER TABLE `employees`
MODIFY `employee_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `failed_jobs`
--
ALTER TABLE `failed_jobs`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT for table `products`
--
ALTER TABLE `products`
MODIFY `product_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `product_categories`
--
ALTER TABLE `product_categories`
MODIFY `procate_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `product_damages`
--
ALTER TABLE `product_damages`
MODIFY `damage_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `product_distributions`
--
ALTER TABLE `product_distributions`
MODIFY `pd_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `product_purchases`
--
ALTER TABLE `product_purchases`
MODIFY `purchase_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `product_requisitions`
--
ALTER TABLE `product_requisitions`
MODIFY `pr_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `user_roles`
--
ALTER TABLE `user_roles`
MODIFY `role_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
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 */;
|
UPDATE COVER SET URL='https://via.placeholder.com/200x200' WHERE URL IS NULL;
ALTER TABLE COVER
ALTER COLUMN URL SET NOT NULL,
ALTER COLUMN URL SET DEFAULT 'https://via.placeholder.com/200x200';
UPDATE COVER SET HEIGHT = 200 WHERE HEIGHT IS NULL;
ALTER TABLE COVER
ALTER COLUMN HEIGHT SET NOT NULL,
ALTER COLUMN HEIGHT SET DEFAULT 200;
UPDATE COVER SET WIDTH = 200 WHERE WIDTH IS NULL;
ALTER TABLE COVER
ALTER COLUMN WIDTH SET NOT NULL,
ALTER COLUMN WIDTH SET DEFAULT 200;
|
-- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Jul 16, 2017 at 10:19 AM
-- Server version: 10.1.16-MariaDB
-- PHP Version: 7.0.9
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: `db_patient`
--
-- --------------------------------------------------------
--
-- Table structure for table `tb_bill`
--
CREATE TABLE `tb_bill` (
`bill_no` int(30) NOT NULL,
`date` int(50) NOT NULL,
`room_charge` int(50) NOT NULL,
`pathology_fees` int(50) NOT NULL,
`doctor_fees` int(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tb_doctor`
--
CREATE TABLE `tb_doctor` (
`d_id` int(50) NOT NULL,
`d_name` varchar(50) NOT NULL,
`dept` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_doctor`
--
INSERT INTO `tb_doctor` (`d_id`, `d_name`, `dept`) VALUES
(0, '', '');
-- --------------------------------------------------------
--
-- Table structure for table `tb_patient`
--
CREATE TABLE `tb_patient` (
`p_id` int(30) NOT NULL,
`p_name` varchar(50) NOT NULL,
`password` varchar(30) NOT NULL,
`p_age` varchar(50) NOT NULL,
`p_gender` varchar(50) NOT NULL,
`p_address` varchar(50) NOT NULL,
`p_contact` int(50) NOT NULL,
`admission_date` int(50) NOT NULL,
`discharge_date` int(50) NOT NULL,
`disease` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_patient`
--
INSERT INTO `tb_patient` (`p_id`, `p_name`, `password`, `p_age`, `p_gender`, `p_address`, `p_contact`, `admission_date`, `discharge_date`, `disease`) VALUES
(0, '', '', '', '', '', 0, 0, 0, ''),
(1, 'jjkm', '', 'jk', 'l;', 'gh', 0, 0, 0, 'jhj'),
(894, 'jjkkj', '', 'jjkjkk', 'hjhhjjkh', 'hhhjjh', 0, 0, 0, 'hjhjhjk'),
(6788, 'ghfgh', '', 'gfhfh', 'ghfgh', 'ghfghfh', 0, 0, 0, 'hfghfghngg'),
(45345, 'gguyguy', 'hjyjggkygg', 'huyguky', 'hhkjg', 'hgyg', 435453, 0, 0, 'dadad');
-- --------------------------------------------------------
--
-- Table structure for table `tb_room`
--
CREATE TABLE `tb_room` (
`r_no` int(50) NOT NULL,
`r_type` varchar(50) NOT NULL,
`r_status` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tb_bill`
--
ALTER TABLE `tb_bill`
ADD PRIMARY KEY (`bill_no`);
--
-- Indexes for table `tb_doctor`
--
ALTER TABLE `tb_doctor`
ADD PRIMARY KEY (`d_id`);
--
-- Indexes for table `tb_patient`
--
ALTER TABLE `tb_patient`
ADD PRIMARY KEY (`p_id`);
--
-- Indexes for table `tb_room`
--
ALTER TABLE `tb_room`
ADD PRIMARY KEY (`r_no`);
/*!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 */;
|
USE `webDevelopment`;
DELETE FROM `languages`
WHERE `language` LIKE 'HTML';
UPDATE `frameworks`
SET `framework`='Symfony2'
WHERE `framework`='Symfony';
UPDATE `languages`
SET `version`='5.1'
WHERE `language`='JavaScript' AND `version`='5';
|
-- sql script to create database for Hades web project
drop table follow;
drop table play;
drop table playlists;
drop table songs;
drop table genres;
drop table albums;
drop table users;
-- table declarations
create table users(
pseudo varchar(25) not null,
userName varchar(50),
userSurname varchar(50),
userEmail varchar(50) not null,
userPwd varchar(128) not null,
userBio varchar(280),
stageName varchar(50),
verified tinyint(1) default 0,
constraint pk_users primary key (pseudo),
unique key uk_email (userEmail)
);
create table albums(
albumId integer not null auto_increment,
albumTitle varchar(50),
albumAuthor varchar(50),
posterId varchar(25) not null,
constraint pk_albums primary key (albumId),
constraint fk_albums_users foreign key (posterId) references users(pseudo) on delete cascade
);
create table genres(
genreId integer not null auto_increment,
genreName varchar(32),
constraint pk_genres primary key (genreId)
);
create table songs(
songId integer not null auto_increment,
songTitle varchar(64),
songDetails varchar(280),
albumId integer not null,
genreId integer,
constraint pk_songs primary key (songId),
constraint fk_songs_albums foreign key (albumId) references albums(albumId) on delete cascade,
constraint fk_songs_genres foreign key (genreId) references genres(genreId)
);
create table playlists(
playlistId integer not null auto_increment,
playlistName varchar(50),
playlistDesc varchar(280),
ownerId varchar(25),
constraint pk_playlists primary key (playlistId),
constraint fk_playlists_users foreign key (ownerId) references users(pseudo) on delete cascade
);
create table play(
songId integer not null,
playlistId integer not null,
constraint pk_play primary key (songId, playlistId),
constraint fk_songs_songs foreign key (songId) references songs(songId),
constraint fk_songs_playlists foreign key (playlistId) references playlists(playlistId) on delete cascade
);
create table follow(
followedId varchar(25),
followerId varchar(25),
constraint pk_follow primary key (followedId, followerId),
constraint fk_followed_users foreign key (followedId) references users(pseudo) on delete cascade,
constraint fk_follower_users foreign key (followerId) references users(pseudo) on delete cascade
);
-- triggers declarations
-- t_songs_albums
-- a trigger to remove an album when its last song has been removed
create trigger t_songs_albums
after delete on songs
begin
-- t_playlists_users
-- a trigger to create a new playlist for liked songs when user creates an account |
prompt
prompt ==============================
prompt == DELETE STATS
prompt ==============================
prompt
set echo on timing on
exec dbms_stats.delete_table_stats(user, tabname=>'STATSTEST', force=>true, cascade_indexes=>true, cascade_parts=>true, cascade_columns=>true)
set echo off
|
SELECT *
FROM `projet_hotel_sql`.`hotel`;
|
-- --------------------------------------------------------
-- Host: 127.0.0.1
-- Server version: 5.5.24-log - MySQL Community Server (GPL)
-- Server OS: Win32
-- HeidiSQL Version: 8.0.0.4435
-- --------------------------------------------------------
/*!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' */;
-- Dumping database structure for test
CREATE DATABASE IF NOT EXISTS `test` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `test`;
-- Dumping structure for table test.tbl_skill
CREATE TABLE IF NOT EXISTS `tbl_skill` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL,
`category` varchar(20) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=latin1;
-- Dumping data for table test.tbl_skill: ~5 rows (approximately)
/*!40000 ALTER TABLE `tbl_skill` DISABLE KEYS */;
INSERT INTO `tbl_skill` (`id`, `name`, `category`) VALUES
(1, 'Piano', 'Instrument'),
(2, 'Guitar', 'Instrument'),
(3, 'Violin', 'Instrument'),
(4, 'Singing', 'Singing'),
(5, 'Dancing', 'Dancing');
/*!40000 ALTER TABLE `tbl_skill` ENABLE KEYS */;
-- Dumping structure for table test.tbl_user
CREATE TABLE IF NOT EXISTS `tbl_user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`mobile` varchar(10) DEFAULT NULL,
`refNumber` varchar(5) DEFAULT NULL,
`type` varchar(10) DEFAULT 'user',
`displayName` varchar(50) DEFAULT NULL,
`gender` varchar(10) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=latin1;
-- Dumping data for table test.tbl_user: ~3 rows (approximately)
/*!40000 ALTER TABLE `tbl_user` DISABLE KEYS */;
INSERT INTO `tbl_user` (`id`, `username`, `password`, `mobile`, `refNumber`, `type`, `displayName`, `gender`) VALUES
(1, 'huze0001@gmail.com', '870222', '88552958', 'A0001', 'tutor', 'HU Ze', NULL),
(2, 'admin8978boy@gmail.com', 'mimayo', '81983160', '', 'tutor', 'TAN Chen', NULL),
(4, 'abc@ishu.sg', '1234', '', NULL, 'user', 'TAN Xiao Chen', NULL);
/*!40000 ALTER TABLE `tbl_user` ENABLE KEYS */;
-- Dumping structure for table test.tbl_user_skill
CREATE TABLE IF NOT EXISTS `tbl_user_skill` (
`tutor_id` int(11) NOT NULL,
`skill_id` int(11) NOT NULL,
PRIMARY KEY (`tutor_id`,`skill_id`),
KEY `FK_SKILL` (`skill_id`),
CONSTRAINT `FK_SKILL` FOREIGN KEY (`skill_id`) REFERENCES `tbl_skill` (`id`) ON DELETE CASCADE,
CONSTRAINT `FK_TUTOR` FOREIGN KEY (`tutor_id`) REFERENCES `tbl_user` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- Dumping data for table test.tbl_user_skill: ~3 rows (approximately)
/*!40000 ALTER TABLE `tbl_user_skill` DISABLE KEYS */;
INSERT INTO `tbl_user_skill` (`tutor_id`, `skill_id`) VALUES
(1, 1),
(1, 2),
(1, 3);
/*!40000 ALTER TABLE `tbl_user_skill` 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 */; |
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 */;
CREATE TABLE `commentlikes` (
`id` int NOT NULL,
`sender` varchar(255) NOT NULL,
`reciever` varchar(255) NOT NULL,
`type` varchar(1) NOT NULL DEFAULT 'l'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `comments` (
`id` int NOT NULL,
`toid` varchar(255) NOT NULL,
`author` varchar(255) NOT NULL,
`comment` varchar(1000) NOT NULL,
`date` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `history` (
`id` int NOT NULL,
`video` varchar(255) NOT NULL,
`author` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `likes` (
`id` int NOT NULL,
`sender` varchar(255) NOT NULL,
`reciever` varchar(255) NOT NULL,
`type` varchar(1) NOT NULL DEFAULT 'l'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `playlists` (
`id` int NOT NULL,
`title` varchar(255) NOT NULL,
`description` varchar(1024) NOT NULL,
`rid` varchar(255) NOT NULL,
`author` varchar(255) NOT NULL,
`created` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`videos` varchar(10000) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL DEFAULT ''
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `profilecomments` (
`id` int NOT NULL,
`toid` varchar(255) NOT NULL,
`author` varchar(255) NOT NULL,
`comment` varchar(512) NOT NULL,
`date` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `subscribers` (
`id` int NOT NULL,
`sender` varchar(255) NOT NULL,
`reciever` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `users` (
`id` int NOT NULL,
`username` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
`created` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`lastlogin` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`bio` varchar(2000) NOT NULL DEFAULT '',
`pfp` varchar(255) NOT NULL DEFAULT 'default.png',
`banner` varchar(255) NOT NULL DEFAULT 'banner.gif'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `videolikes` (
`id` int NOT NULL,
`toid` int NOT NULL,
`type` varchar(1) NOT NULL,
`owner` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `videos` (
`id` int NOT NULL,
`title` varchar(255) NOT NULL,
`author` varchar(255) NOT NULL,
`filename` varchar(255) NOT NULL,
`thumbnail` varchar(255) NOT NULL,
`publish` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`description` varchar(1024) NOT NULL,
`tags` varchar(255) NOT NULL,
`rid` varchar(255) NOT NULL,
`duration` varchar(255) NOT NULL DEFAULT '0',
`visibility` varchar(1) NOT NULL DEFAULT 'n',
`commenting` varchar(1) NOT NULL DEFAULT 'a'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
CREATE TABLE `views` (
`id` int NOT NULL,
`viewer` varchar(255) NOT NULL,
`videoid` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
ALTER TABLE `commentlikes`
ADD PRIMARY KEY (`id`);
ALTER TABLE `comments`
ADD PRIMARY KEY (`id`);
ALTER TABLE `history`
ADD PRIMARY KEY (`id`);
ALTER TABLE `likes`
ADD PRIMARY KEY (`id`);
ALTER TABLE `playlists`
ADD PRIMARY KEY (`id`);
ALTER TABLE `profilecomments`
ADD PRIMARY KEY (`id`);
ALTER TABLE `subscribers`
ADD PRIMARY KEY (`id`);
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
ALTER TABLE `videolikes`
ADD PRIMARY KEY (`id`);
ALTER TABLE `videos`
ADD PRIMARY KEY (`id`);
ALTER TABLE `views`
ADD PRIMARY KEY (`id`);
ALTER TABLE `commentlikes`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `comments`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `history`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `likes`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `playlists`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `profilecomments`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `subscribers`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `users`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `videolikes`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `videos`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
ALTER TABLE `views`
MODIFY `id` int NOT NULL AUTO_INCREMENT;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE TABLE `domain_registry` (
`domain_name` varchar(20) NOT NULL,
`next_id` bigint(11) NOT NULL DEFAULT '1',
`class_api` varchar(50) NOT NULL,
`class_impl` varchar(50) NOT NULL,
UNIQUE KEY `domain_name` (`domain_name`)
) |
-- phpMyAdmin SQL Dump
-- version 3.4.5
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Aug 04, 2015 at 01:49 AM
-- Server version: 5.5.16
-- PHP Version: 5.3.8
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: `dbtabungan`
--
-- --------------------------------------------------------
--
-- Table structure for table `data_siswa`
--
CREATE TABLE IF NOT EXISTS `data_siswa` (
`NIS` varchar(20) NOT NULL,
`Nama_Siswa` varchar(20) NOT NULL,
`Jenis_Kelamin` varchar(10) NOT NULL,
`Alamat` text NOT NULL,
`Tahun_Ajar` varchar(20) NOT NULL,
`Kelas` int(11) NOT NULL,
`Nama_Ortu` varchar(20) NOT NULL,
`No_Telp` varchar(15) NOT NULL,
`Saldo` double NOT NULL,
`Keterangan` varchar(15) NOT NULL,
PRIMARY KEY (`NIS`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `data_siswa`
--
INSERT INTO `data_siswa` (`NIS`, `Nama_Siswa`, `Jenis_Kelamin`, `Alamat`, `Tahun_Ajar`, `Kelas`, `Nama_Ortu`, `No_Telp`, `Saldo`, `Keterangan`) VALUES
('001', 'jamaludin', 'Perempuan', 'bb', '212', 5, 'kaka', '09809', 0, 'Aktif'),
('0123', 'iban', 'Laki-Laki', 'bby', '2013', 1, 'tt', '345', 0, 'Aktif');
-- --------------------------------------------------------
--
-- Table structure for table `pengambilan`
--
CREATE TABLE IF NOT EXISTS `pengambilan` (
`No_Ambil` varchar(25) NOT NULL,
`NIS` varchar(20) NOT NULL,
`Nama_Siswa` varchar(20) NOT NULL,
`Kelas` varchar(15) NOT NULL,
`Saldo_Awal` double NOT NULL,
`Jml_Ambil` double NOT NULL,
`Saldo_Akhir` double NOT NULL,
`Tgl_Ambil` date NOT NULL,
PRIMARY KEY (`No_Ambil`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `pengguna`
--
CREATE TABLE IF NOT EXISTS `pengguna` (
`Kd_Pengguna` varchar(25) NOT NULL,
`Username` varchar(25) NOT NULL,
`Password` varchar(25) NOT NULL,
`Status` varchar(15) NOT NULL,
PRIMARY KEY (`Kd_Pengguna`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `pengguna`
--
INSERT INTO `pengguna` (`Kd_Pengguna`, `Username`, `Password`, `Status`) VALUES
('K001', 'iban', '123', 'ADMINISTRATOR'),
('K002', 'Hardin', '1234', 'KEPSEK'),
('K003', 'ibannura', '123', 'STAFF'),
('K004', 'iban', '123', 'STAFF');
-- --------------------------------------------------------
--
-- Table structure for table `setoran`
--
CREATE TABLE IF NOT EXISTS `setoran` (
`No_Setor` varchar(25) NOT NULL,
`NIS` varchar(25) NOT NULL,
`Nama_Siswa` varchar(20) NOT NULL,
`Kelas` varchar(15) NOT NULL,
`Saldo_Awal` double NOT NULL,
`Jml_Setor` double NOT NULL,
`Saldo_Akhir` double NOT NULL,
`Tgl_Setor` date NOT NULL,
PRIMARY KEY (`No_Setor`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
/*!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 */;
|
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