sql stringlengths 6 1.05M |
|---|
<gh_stars>1000+
-- Tags: distributed
set optimize_duplicate_order_by_and_distinct = 1;
SET distributed_group_by_no_merge = 0;
SELECT DISTINCT number
FROM
(
SELECT DISTINCT number
FROM remote('127.0.0.{1,2}', system.numbers)
LIMIT 1
SETTINGS distributed_group_by_no_merge = 1
);
SET distributed_group_by_no_merge = 1;
SELECT DISTINCT number
FROM
(
SELECT DISTINCT number
FROM remote('127.0.0.{1,2}', system.numbers)
LIMIT 1
);
set optimize_duplicate_order_by_and_distinct = 0;
SET distributed_group_by_no_merge = 0;
SELECT DISTINCT number
FROM
(
SELECT DISTINCT number
FROM remote('127.0.0.{1,2}', system.numbers)
LIMIT 1
SETTINGS distributed_group_by_no_merge = 1
);
SET distributed_group_by_no_merge = 1;
set optimize_duplicate_order_by_and_distinct = 0;
SELECT DISTINCT number
FROM
(
SELECT DISTINCT number
FROM remote('127.0.0.{1,2}', system.numbers)
LIMIT 1
);
|
<reponame>bradson85/PASCAL
-- phpMyAdmin SQL Dump
-- version 4.3.8
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Apr 30, 2018 at 02:26 PM
-- Server version: 5.5.51-38.2
-- PHP Version: 5.6.30
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Database: `formassess`
--
CREATE DATABASE IF NOT EXISTS `formassess` DEFAULT CHARACTER SET utf8 COLLATE utf8_unicode_ci;
USE `formassess`;
-- --------------------------------------------------------
--
-- Table structure for table `accounts`
--
DROP TABLE IF EXISTS `accounts`;
CREATE TABLE IF NOT EXISTS `accounts` (
`ID` int(11) NOT NULL,
`name` varchar(50) DEFAULT NULL,
`email` varchar(50) NOT NULL,
`password` char(128) DEFAULT NULL,
`type` int(10) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `accounts`
--
TRUNCATE TABLE `accounts`;
--
-- Dumping data for table `accounts`
--
INSERT INTO `accounts` (`ID`, `name`, `email`, `password`, `type`) VALUES
(1, 'Jane Teacher', '<EMAIL>', <PASSWORD>', 1),
(2, 'Dr. Admin', '<EMAIL>', <PASSWORD>', 0),
(3, '<NAME>', '<EMAIL>', <PASSWORD>VyOjZLl4C7ZKjcBQOtFAXNq9rG', 2),
(4, '<NAME>', '<EMAIL>', '$2y$10$8ILO1RjJTAdfw4/2JjDK5eeCT0sVyOjZLl4C7ZKjcBQOtFAXNq9rG', 2),
(5, 'Another student', '<EMAIL>', 'test', 2),
(14, 'Sarah', '<EMAIL>', '$2y$10$ZgGDMhSCEwVVGtQRwSHlvuOWc1wn9LQH3q2wpmafDMMqvqAVzmtjK', 1);
-- --------------------------------------------------------
--
-- Table structure for table `admins`
--
DROP TABLE IF EXISTS `admins`;
CREATE TABLE IF NOT EXISTS `admins` (
`ID` int(11) NOT NULL,
`name` varchar(50) DEFAULT NULL,
`email` varchar(50) NOT NULL,
`password` char(128) DEFAULT NULL
) ENGINE=InnoDB AUTO_INCREMENT=36 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `admins`
--
TRUNCATE TABLE `admins`;
--
-- Dumping data for table `admins`
--
INSERT INTO `admins` (`ID`, `name`, `email`, `password`) VALUES
(35, 'Admin', '<EMAIL>', <PASSWORD>.');
-- --------------------------------------------------------
--
-- Table structure for table `assessmentassignments`
--
DROP TABLE IF EXISTS `assessmentassignments`;
CREATE TABLE IF NOT EXISTS `assessmentassignments` (
`assessmentID` int(11) NOT NULL,
`studentID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `assessmentassignments`
--
TRUNCATE TABLE `assessmentassignments`;
--
-- Dumping data for table `assessmentassignments`
--
INSERT INTO `assessmentassignments` (`assessmentID`, `studentID`) VALUES
(47, 4),
(47, 3),
(48, 3),
(49, 4),
(50, 4),
(50, 3),
(51, 3),
(52, 4),
(52, 3),
(39, 4),
(38, 3),
(53, 3),
(57, 3);
-- --------------------------------------------------------
--
-- Table structure for table `assessmentquestions`
--
DROP TABLE IF EXISTS `assessmentquestions`;
CREATE TABLE IF NOT EXISTS `assessmentquestions` (
`ID` int(11) NOT NULL,
`termID` int(11) NOT NULL,
`assessmentID` int(11) NOT NULL,
`isMatch` tinyint(1) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=1150 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `assessmentquestions`
--
TRUNCATE TABLE `assessmentquestions`;
--
-- Dumping data for table `assessmentquestions`
--
INSERT INTO `assessmentquestions` (`ID`, `termID`, `assessmentID`, `isMatch`) VALUES
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-- --------------------------------------------------------
--
-- Table structure for table `assessments`
--
DROP TABLE IF EXISTS `assessments`;
CREATE TABLE IF NOT EXISTS `assessments` (
`ID` int(11) NOT NULL,
`start_date` datetime NOT NULL,
`end_date` datetime DEFAULT NULL,
`catID` int(11) NOT NULL,
`classID` int(11) DEFAULT NULL
) ENGINE=InnoDB AUTO_INCREMENT=65 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `assessments`
--
TRUNCATE TABLE `assessments`;
--
-- Dumping data for table `assessments`
--
INSERT INTO `assessments` (`ID`, `start_date`, `end_date`, `catID`, `classID`) VALUES
(38, '2018-02-04 00:00:00', '2018-02-27 00:00:00', 28, 1),
(39, '2018-02-01 00:00:00', '2018-02-20 00:00:00', 28, 1),
(40, '2018-02-02 00:00:00', '2018-02-28 00:00:00', 31, 1),
(41, '2018-03-01 00:00:00', '2018-03-21 00:00:00', 28, 1),
(42, '2018-03-07 00:00:00', '2018-03-17 00:00:00', 28, 1),
(43, '2018-03-12 00:00:00', '2018-03-21 00:00:00', 28, 1),
(44, '2018-03-12 00:00:00', '2018-03-19 00:00:00', 31, 1),
(45, '2018-03-05 00:00:00', '2018-03-12 00:00:00', 28, 1),
(47, '2018-04-04 00:00:00', '2018-04-11 00:00:00', 28, 1),
(48, '2018-04-09 00:00:00', '2018-04-16 00:00:00', 28, 1),
(49, '2018-04-16 00:00:00', '2018-04-23 00:00:00', 28, NULL),
(50, '2018-04-16 00:00:00', '2018-04-23 00:00:00', 28, NULL),
(51, '2018-04-11 00:00:00', '2018-04-18 00:00:00', 28, NULL),
(52, '2018-04-16 00:00:00', '2018-04-23 00:00:00', 28, NULL),
(53, '2018-04-17 00:00:00', '2018-04-20 00:00:00', 28, NULL),
(54, '2018-04-17 00:00:00', '2018-04-24 00:00:00', 28, NULL),
(55, '2018-04-17 00:00:00', '2018-04-24 00:00:00', 28, NULL),
(56, '2018-04-17 00:00:00', '2018-04-24 00:00:00', 28, NULL),
(57, '2018-04-01 00:00:00', '2018-04-24 00:00:00', 31, NULL),
(58, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 28, NULL),
(59, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 31, NULL),
(60, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 31, NULL),
(61, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 31, NULL),
(62, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 31, NULL),
(63, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 31, NULL),
(64, '2018-04-19 00:00:00', '2018-04-26 00:00:00', 31, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `categories`
--
DROP TABLE IF EXISTS `categories`;
CREATE TABLE IF NOT EXISTS `categories` (
`ID` int(11) NOT NULL,
`name` varchar(50) NOT NULL,
`level` int(11) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=48 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `categories`
--
TRUNCATE TABLE `categories`;
--
-- Dumping data for table `categories`
--
INSERT INTO `categories` (`ID`, `name`, `level`) VALUES
(28, 'Physical Science', 4),
(29, 'Life Science', 4),
(30, 'Earth Science', 4),
(31, 'Physical Science', 5),
(32, 'Life Science', 5),
(33, 'Earth Science', 5),
(41, 'Physical Science', 6),
(42, 'Life Science', 6),
(43, 'Earth Science', 6),
(44, 'Engineering Science', 6),
(45, 'Physical Science', 3),
(46, 'Life Science', 3),
(47, 'Earth and Space Science', 3);
-- --------------------------------------------------------
--
-- Table structure for table `classes`
--
DROP TABLE IF EXISTS `classes`;
CREATE TABLE IF NOT EXISTS `classes` (
`ID` int(11) NOT NULL,
`name` varchar(50) NOT NULL,
`gradeLevel` int(11) NOT NULL,
`schoolID` int(11) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=1000 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `classes`
--
TRUNCATE TABLE `classes`;
--
-- Dumping data for table `classes`
--
INSERT INTO `classes` (`ID`, `name`, `gradeLevel`, `schoolID`) VALUES
(1, 'Homeroom 9AM', 4, 3),
(12, 'Science 12:30 PM', 4, 3),
(14, '4th Grade Science', 5, 6),
(999, 'Admin Class', 4, 999);
-- --------------------------------------------------------
--
-- Table structure for table `classlist`
--
DROP TABLE IF EXISTS `classlist`;
CREATE TABLE IF NOT EXISTS `classlist` (
`classID` int(11) NOT NULL,
`accountID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `classlist`
--
TRUNCATE TABLE `classlist`;
--
-- Dumping data for table `classlist`
--
INSERT INTO `classlist` (`classID`, `accountID`) VALUES
(1, 4),
(1, 1),
(14, 5),
(1, 3),
(12, 1),
(12, 4),
(999, 2);
-- --------------------------------------------------------
--
-- Table structure for table `password_change_requests`
--
DROP TABLE IF EXISTS `password_change_requests`;
CREATE TABLE IF NOT EXISTS `password_change_requests` (
`ID` char(64) NOT NULL,
`time` datetime NOT NULL,
`userID` varchar(50) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `password_change_requests`
--
TRUNCATE TABLE `password_change_requests`;
--
-- Dumping data for table `password_change_requests`
--
INSERT INTO `password_change_requests` (`ID`, `time`, `userID`) VALUES
('02bd1211520158d6c85d605f16af9699', '2018-04-18 01:04:21', '<EMAIL>'),
('21fd1bb803c83c4b54613976a27db084', '2018-04-18 01:04:20', '<EMAIL>'),
('24ee2664787ceb3935592fd49afa672c', '2018-04-18 10:04:46', '<EMAIL>'),
('46a98c64479774369c9f059c5d312cc0', '2018-04-18 10:04:28', '<EMAIL>'),
('7a432a82a2089d895dda5<PASSWORD>ddcfd4c2', '2018-04-12 10:04:40', '<EMAIL>'),
('7c72731fc9f93ba684b4328caa9<PASSWORD>', '2018-04-18 01:04:48', '<EMAIL>'),
('89c0b61dd85ece4a229ad7322a9024a0', '2018-02-10 09:02:14', '<EMAIL>'),
('95de2a6523a8bd2caf513d142c918ce6', '2018-04-12 10:04:28', '<EMAIL>'),
('a3500e974284b2b3df2db0057cf7020e', '2018-04-12 10:04:31', '<EMAIL>'),
('de13ec8fca5e3f9913bde456177334b5', '2018-04-12 09:04:53', '<EMAIL>'),
('fba586a98baf7cfbd52200ce65b4bd10', '2018-04-12 10:04:04', '<EMAIL>');
-- --------------------------------------------------------
--
-- Table structure for table `results`
--
DROP TABLE IF EXISTS `results`;
CREATE TABLE IF NOT EXISTS `results` (
`ID` int(11) NOT NULL,
`studentID` int(11) NOT NULL,
`assessmentID` int(11) NOT NULL,
`termID` int(11) NOT NULL,
`matchID` int(11) DEFAULT NULL,
`correct` tinyint(1) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=190 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `results`
--
TRUNCATE TABLE `results`;
--
-- Dumping data for table `results`
--
INSERT INTO `results` (`ID`, `studentID`, `assessmentID`, `termID`, `matchID`, `correct`) VALUES
(10, 3, 42, 215, 241, 0),
(11, 3, 42, 216, 218, 0),
(12, 3, 42, 217, 219, 0),
(13, 3, 42, 218, 215, 0),
(14, 3, 42, 219, 242, 0),
(15, 3, 42, 221, 226, 0),
(16, 3, 42, 226, 221, 0),
(17, 3, 42, 223, 245, 0),
(18, 3, 42, 225, 223, 0),
(19, 4, 42, 220, 220, 1),
(20, 3, 42, 228, 231, 0),
(21, 3, 42, 227, 230, 0),
(22, 3, 42, 230, 227, 0),
(23, 3, 42, 231, 246, 0),
(24, 3, 42, 234, 234, 1),
(25, 3, 42, 235, 235, 1),
(26, 3, 42, 236, 238, 0),
(27, 3, 42, 238, 265, 0),
(28, 3, 42, 237, 249, 0),
(29, 3, 42, 240, 237, 0),
(30, 3, 41, 215, 216, 0),
(31, 3, 41, 216, 238, 0),
(32, 4, 41, 216, 215, 1),
(33, 3, 41, 219, 219, 1),
(34, 3, 41, 219, 216, 0),
(35, 3, 41, 220, 239, 0),
(36, 3, 41, 222, 220, 0),
(37, 3, 41, 223, 223, 1),
(38, 3, 41, 223, 222, 0),
(39, 3, 41, 222, 241, 0),
(40, 3, 41, 227, 248, 0),
(41, 3, 41, 228, 228, 1),
(42, 3, 41, 229, 242, 0),
(43, 3, 41, 229, 227, 0),
(44, 3, 41, 231, 229, 0),
(45, 3, 41, 231, 265, 0),
(46, 3, 41, 232, 232, 1),
(47, 3, 41, 234, 232, 0),
(48, 3, 41, 234, 249, 0),
(49, 3, 41, 232, 231, 0),
(50, 4, 41, 219, 216, 0),
(51, 3, 43, 226, 222, 0),
(52, 3, 43, 234, 248, 0),
(53, 3, 43, 216, 219, 0),
(54, 3, 43, 222, 226, 0),
(55, 3, 43, 219, 216, 0),
(56, 3, 43, 242, 225, 0),
(57, 3, 43, 225, 229, 0),
(58, 3, 43, 215, 244, 0),
(59, 3, 43, 230, 230, 1),
(60, 3, 43, 232, 232, 1),
(61, 3, 43, 249, 237, 0),
(62, 3, 43, 245, 227, 0),
(63, 3, 43, 247, 249, 0),
(64, 3, 43, 239, 240, 0),
(65, 3, 43, 241, 238, 0),
(66, 3, 43, 238, 223, 0),
(67, 3, 43, 217, 217, 1),
(68, 3, 43, 265, 235, 0),
(69, 3, 43, 223, 221, 0),
(70, 3, 44, 218, 218, 1),
(71, 3, 44, 223, 223, 1),
(72, 3, 44, 228, 249, 0),
(73, 3, 44, 217, 228, 0),
(74, 3, 44, 240, 240, 1),
(75, 3, 44, 232, 220, 0),
(76, 3, 44, 215, 235, 0),
(77, 3, 44, 233, 227, 0),
(78, 3, 44, 227, 215, 0),
(79, 3, 44, 225, 225, 1),
(80, 3, 44, 224, 216, 0),
(81, 3, 44, 248, 229, 0),
(82, 3, 44, 234, 224, 0),
(83, 3, 44, 226, 226, 1),
(84, 3, 44, 230, 230, 1),
(85, 3, 44, 237, 237, 1),
(86, 3, 44, 241, 236, 0),
(87, 3, 44, 242, 222, 0),
(88, 3, 44, 236, 241, 0),
(89, 3, 44, 222, 242, 0),
(90, 3, 39, 225, 225, 1),
(91, 3, 39, 230, 215, 0),
(92, 3, 39, 215, 216, 0),
(93, 3, 39, 235, 230, 0),
(94, 3, 39, 248, 235, 0),
(95, 3, 39, 247, 247, 1),
(96, 3, 39, 217, 217, 1),
(97, 3, 39, 233, 231, 0),
(98, 3, 39, 218, 265, 0),
(99, 3, 39, 231, 240, 0),
(100, 3, 39, 242, 237, 0),
(101, 3, 39, 225, 225, 1),
(102, 3, 39, 240, 240, 1),
(103, 3, 39, 235, 223, 0),
(104, 3, 39, 223, 242, 0),
(105, 3, 39, 237, 233, 0),
(106, 3, 39, 233, 220, 0),
(107, 3, 39, 224, 224, 1),
(108, 3, 39, 215, 237, 0),
(109, 3, 39, 231, 215, 0),
(110, 3, 47, 228, 265, 0),
(111, 3, 47, 226, 226, 1),
(112, 3, 47, 229, 229, 1),
(113, 3, 47, 249, 249, 1),
(114, 3, 47, 225, 225, 1),
(115, 3, 47, 237, 237, 1),
(116, 3, 47, 232, 232, 1),
(117, 3, 47, 219, 219, 1),
(118, 3, 47, 215, 215, 1),
(119, 3, 47, 231, 231, 1),
(120, 3, 47, 283, 283, 1),
(121, 3, 47, 264, 264, 1),
(122, 3, 47, 274, 274, 1),
(123, 3, 47, 250, 250, 1),
(124, 3, 47, 277, 277, 1),
(125, 3, 47, 266, 266, 1),
(126, 3, 47, 268, 268, 1),
(127, 3, 47, 285, 285, 1),
(128, 3, 47, 257, 257, 1),
(129, 3, 47, 255, 255, 1),
(130, 3, 48, 246, 245, 0),
(131, 3, 48, 235, 235, 1),
(132, 3, 48, 245, 221, 0),
(133, 3, 48, 221, 246, 0),
(134, 3, 48, 249, 249, 1),
(135, 3, 48, 230, 233, 0),
(136, 3, 48, 226, 230, 0),
(137, 3, 48, 233, 234, 0),
(138, 3, 48, 219, 227, 0),
(139, 3, 48, 234, 219, 0),
(140, 3, 48, 229, 236, 0),
(141, 3, 48, 225, 232, 0),
(142, 3, 48, 247, 242, 0),
(143, 3, 48, 239, 247, 0),
(144, 3, 48, 236, 229, 0),
(145, 3, 48, 223, 241, 0),
(146, 3, 48, 228, 220, 0),
(147, 3, 48, 244, 218, 0),
(148, 3, 48, 241, 222, 0),
(149, 3, 48, 220, 223, 0),
(150, 3, 51, 246, 227, 0),
(151, 3, 51, 242, 249, 0),
(152, 3, 51, 249, 229, 0),
(153, 3, 51, 219, 240, 0),
(154, 3, 51, 227, 242, 0),
(155, 3, 51, 225, 228, 0),
(156, 3, 51, 233, 235, 0),
(157, 3, 51, 226, 217, 0),
(158, 3, 51, 228, 225, 0),
(159, 3, 51, 217, 232, 0),
(160, 3, 51, 234, 223, 0),
(161, 3, 51, 239, 241, 0),
(162, 3, 51, 224, 239, 0),
(163, 3, 51, 221, 221, 1),
(164, 3, 51, 218, 234, 0),
(165, 3, 51, 247, 248, 0),
(166, 3, 51, 230, 247, 0),
(167, 3, 51, 222, 230, 0),
(168, 3, 51, 237, 265, 0),
(169, 3, 51, 215, 237, 0),
(170, 3, 57, 232, 232, 1),
(171, 3, 57, 240, 240, 1),
(172, 3, 57, 228, 216, 0),
(173, 3, 57, 244, 244, 1),
(174, 3, 57, 236, 236, 1),
(175, 3, 57, 249, 249, 1),
(176, 3, 57, 230, 222, 0),
(177, 3, 57, 233, 233, 1),
(178, 3, 57, 248, 248, 1),
(179, 3, 57, 238, 238, 1),
(180, 3, 57, 265, 265, 1),
(181, 3, 57, 215, 239, 0),
(182, 3, 57, 247, 247, 1),
(183, 3, 57, 224, 227, 0),
(184, 3, 57, 225, 225, 1),
(185, 3, 57, 223, 235, 0),
(186, 3, 57, 220, 223, 0),
(187, 3, 57, 231, 226, 0),
(188, 3, 57, 217, 231, 0),
(189, 3, 57, 235, 220, 0);
-- --------------------------------------------------------
--
-- Table structure for table `schools`
--
DROP TABLE IF EXISTS `schools`;
CREATE TABLE IF NOT EXISTS `schools` (
`ID` int(11) NOT NULL,
`name` varchar(100) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=1000 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `schools`
--
TRUNCATE TABLE `schools`;
--
-- Dumping data for table `schools`
--
INSERT INTO `schools` (`ID`, `name`) VALUES
(3, 'Edwardsville'),
(6, 'Fox C-9'),
(15, 'Another Test school'),
(19, 'Admin School'),
(999, 'Admin School');
-- --------------------------------------------------------
--
-- Table structure for table `students`
--
DROP TABLE IF EXISTS `students`;
CREATE TABLE IF NOT EXISTS `students` (
`ID` int(11) NOT NULL,
`classID` int(11) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `students`
--
TRUNCATE TABLE `students`;
--
-- Dumping data for table `students`
--
INSERT INTO `students` (`ID`, `classID`) VALUES
(1, 1);
-- --------------------------------------------------------
--
-- Table structure for table `teachers`
--
DROP TABLE IF EXISTS `teachers`;
CREATE TABLE IF NOT EXISTS `teachers` (
`ID` int(11) NOT NULL,
`name` varchar(50) DEFAULT NULL,
`email` varchar(50) NOT NULL,
`password` varchar(128) DEFAULT NULL,
`classID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `teachers`
--
TRUNCATE TABLE `teachers`;
-- --------------------------------------------------------
--
-- Table structure for table `terms`
--
DROP TABLE IF EXISTS `terms`;
CREATE TABLE IF NOT EXISTS `terms` (
`ID` int(11) NOT NULL,
`name` varchar(50) NOT NULL,
`definition` varchar(500) NOT NULL,
`catID` int(11) DEFAULT NULL
) ENGINE=InnoDB AUTO_INCREMENT=849 DEFAULT CHARSET=latin1;
--
-- Truncate table before insert `terms`
--
TRUNCATE TABLE `terms`;
--
-- Dumping data for table `terms`
--
INSERT INTO `terms` (`ID`, `name`, `definition`, `catID`) VALUES
(215, 'Energy', 'the ability to do work or be active', 28),
(216, 'Speed ', 'rate of motion; the act of moving rapidly or swifly', 28),
(217, 'Sound', 'anything that people or animals can hear with their ears', 28),
(218, 'Light', 'the form of energy that makes it possible for the eye to see; produces brightness', 28),
(219, 'Heat', 'form of energy; state of being warm; hotness', 28),
(220, 'Matter', 'all substances that contain atoms and take up space', 28),
(221, 'Current', 'the flow of electricity in a wire or other conductor', 28),
(222, 'Collide', 'when energy forces come together and change motion', 28),
(223, 'Energy transfer', 'the movement of energy from one place to another', 28),
(224, 'Energy conversation', 'energy cannot be created, nor destroyed; it can only move from one form to another', 28),
(225, 'Motion', 'the act or particular way of changing place; movement', 28),
(226, 'Electric energy', 'caused by moving electric charges', 28),
(227, 'Waves', 'regular patterns of motion, which can be made in water', 28),
(228, 'Amplitude', 'height of a wave', 28),
(229, 'Wavelength', 'spacing between wave peaks', 28),
(230, 'Electromagnetic radiation', 'an object can be seen when light from its surface enters the eye', 28),
(231, 'Digital', 'showing information by a row of numerical digits rather than by a pointer or hands on a clock', 28),
(232, 'Degradation (degrade)', 'to reduce in value, amount, or strength', 28),
(233, 'Internal', 'located on the inside; inner', 28),
(234, 'External ', 'of the outside or outer part', 28),
(235, 'Survival ', 'the act of continuing to be alive', 28),
(236, 'Behavior ', 'the typical actions of a person, animal, thing, or group', 28),
(237, 'Reproduction ', 'the process by which living things create young or offspring', 28),
(238, 'Receptors ', 'an organ with nerve endings that responds to sensory information', 28),
(239, 'Senses', 'any of the five ways to understand or experience one''s surroundings', 28),
(240, 'Fossil ', 'the remains or trace of a living animal or plant from a long time ago', 28),
(241, 'Erosion ', 'wearing away of the earth''s surface by wind or water', 28),
(242, 'Vegetation ', 'plants or plant life in a particular place', 28),
(243, 'Weathering', 'the wearing away or changing of the appearance of the earth''s materials by long exposure to air or water', 30),
(244, 'Topographic', 'type of map that shows the physical features of an area, including elevation changes', 28),
(245, 'Volcano', 'an opening in the earth''s crust through which melted rock, ash, and gases are forced out', 28),
(246, 'Earthquake', 'a shaking of part of the earth''s surface, caused by a deep movement within the earth', 28),
(247, 'Fossil fuel', 'coal, oil, or natural gas formed from the remains of prehistoric plants and animals', 28),
(248, 'Tsunami', 'a very large, often destructive sea wave caused by a marine earthquake or volcanic explosion', 28),
(249, 'Hazard', 'a danger or risk', 28),
(250, 'matter', 'all substances that contain atoms and take up space. (liquids, solids, gases)', 31),
(251, 'particle', 'a tiny amount or small piece; speck; trace', 31),
(252, 'model', 'a small copy of something, often used as a guide to making the thing in full size.', 31),
(253, 'measure*', 'the exact size, weight, or amount of something that is found by using a ruler, yardstick, scale, or similar device.', 31),
(254, 'graph*', 'a diagram that shows a relationship between two or more changing things by lines, bars, dots, or portions of a circle', 31),
(255, 'heating', 'a form of energy, or the state of being very warm; hotness; warmth.', 31),
(256, 'cooling', 'to lower in temperature; make less warm.', 31),
(257, 'substances', 'that of which something is made; matter.', 31),
(258, 'conserved', 'to keep safe from loss, waste, or destruction.', 31),
(259, 'weight*', 'the quality of being heavy.', 31),
(260, 'reaction', 'an action or response to something that has happened or has been done.', 31),
(261, 'phase', 'a particular stage in a cycle of development or process of change.', 31),
(262, 'dissovling', 'to mix completely with liquid.', 31),
(263, 'observations*', 'the act or an instance of perceiving the environment through one of the senses.', 31),
(264, 'properties*', 'a quality that something is known by; characteristic.', 31),
(265, 'hardness', 'the relative extent to which something, esp. a mineral, is hard.', 28),
(266, 'conductivity**', 'the capacity for or property of conducting or transmitting heat, electricity, or sound.', 31),
(267, 'thermal', 'using, resulting from, or producing heat.', 31),
(268, 'electrical**', 'having to do with electricity; electric.', 31),
(269, 'magnetic**', 'having to do with magnets and the way they work.', 31),
(270, 'solubility', 'the amount of a substance that can be dissolved in a particular solvent under given conditions.', 31),
(271, 'density', '', 31),
(272, 'force', 'power, energy, or physical strength.', 31),
(273, 'gravitational', 'the force that pulls planets, stars, or particles toward one another.', 31),
(274, 'exerted', 'to use or put into action; apply.', 31),
(275, 'energy', 'the power or ability to make something work or be active.', 31),
(276, 'growth**', 'the process of growing.', 32),
(277, 'plants', 'one of a large group of living things that use sunlight to make their own food. Most plants have leaves, stems, roots and either flowers or cones', 31),
(281, 'environment', 'everything that surrounds a particular type of living thing and affects its growth and health.', 31),
(282, 'organisms', 'an individual living thing, such as a plant, an animal, or a bacteria.', 32),
(283, 'ecosystems', 'a community of living things, together with their environment', 31),
(284, 'food', 'anything that contains nutrients and is eaten by living creatures in order to maintain life, health, and growth.', 32),
(285, 'brightness**', 'the quality, state, or condition of being bright.', 31),
(585, 'Molecules', 'the smallest unit of a substance that has all the properties of that substance', 41),
(586, 'Atoms', 'the smallest possible unit of a chemical element.', 41),
(587, 'Density', 'the state or condition of having parts very close together with little space between.', 41),
(588, 'Melting Point', 'the temperature at which a given solid turns into liquid.', 41),
(589, 'Boiling Point', 'the temperature at which a liquid starts to boil.', 41),
(590, 'Flamability', 'able to catch on fire easily.', 41),
(591, 'Odor', 'smell or scent.', 41),
(592, 'Chemical Reaction', 'action or response to something that has happened or has been done; with a chemical', 41),
(593, 'Natural Resources', 'materials that are found in nature and that can be used by people in many ways', 41),
(594, 'Synthetic', 'made with chemicals formed in a laboratory instead of something found in nature', 41),
(595, 'Qualitative', 'of or concerning the nature or attributes of something, as opposed to its amount', 41),
(596, 'Solid', 'having a firm shape or form that can be measured in length, width, and height', 41),
(597, 'Liquid', 'in a form that flows easily and is neither a solid nor a gas.', 41),
(598, 'Gas*', 'rapidly spreads out when it is warmed and contracts when it is cooled.', 41),
(599, 'Thermal Energy', 'using, resulting from, or producing heat with power or ability to make something work or be active.', 41),
(600, 'Kinetic Energy', 'energy resulting from motion.', 41),
(601, 'Law of Conservation', 'the mass of an object or collection of objects never changes, no matter how rearranged.', 41),
(602, 'Mass', 'size or bulk.', 41),
(603, 'Consentration', 'to make stronger or more pure.', 41),
(604, 'Construct', 'put together.', 41),
(605, 'Test', 'a trial to find out what something is, what it is made up of, or how good it is.', 41),
(606, 'Modify', 'to change in some way; alter.', 41),
(607, 'Releases*', 'to let go of or loosen.', 41),
(608, 'Absorbs', 'of or having to do with electricity.', 41),
(609, 'Processes*', 'series of actions used to produce something or reach a goal.', 41),
(610, 'Investigate', 'to look into carefully and closely so as to learn the facts', 41),
(611, 'Evidence', 'something that gives proof or a reason to believe.', 41),
(612, 'Data', 'facts, figures, or other pieces of information that can be used to learn about something.', 41),
(613, 'Factors', 'something that has an influence on something that happens or is one of the causes of it.', 41),
(614, 'Strength', 'the state, quality, or condition of being strong.', 41),
(615, 'Forces', 'the use of such power, energy, or strength.', 41),
(616, 'Present', 'to introduce in a formal way.', 41),
(617, 'Arguments', 'a reason in favor of or against something.', 41),
(618, 'Claim', 'to state as true.', 41),
(619, 'Interactions', 'action of one upon another or others; action in response to others; influence, or effect.', 41),
(620, 'Evaluate', 'to judge or set the worth of.', 41),
(621, 'Fields *', 'an area of special activity or interest.', 41),
(622, 'Exerting', 'to push into effort or action; strain.', 41),
(623, 'Contact', 'the touching of two things or people.', 41),
(624, 'Interpret', 'to decide on or explain the meaning of.', 41),
(625, 'Graphical', 'of or related to pictures or writing such as photography, painting, and printing.', 41),
(626, 'Displays', 'to cause to be seen; show.', 41),
(627, 'Relationships', 'the condition or fact of being related or connected.', 41),
(628, 'Speed*', 'rate of motion.', 41),
(629, 'Arrangement', 'the group of things that have been put in order.', 41),
(630, 'Potential Energy', 'in physics, the energy of a particle, body, or system that is determined by its position or structure.', 41),
(631, 'Principles', 'a basic law or truth on which action or behavior is based.', 41),
(632, 'Design', 'to make or draw plans for the structure or form of.', 41),
(633, 'Minimizes', 'to make as small as possible.', 41),
(634, 'Maximizes', 'to increase or enlarge as much as possible.', 41),
(635, 'Representations', 'the showing or picturing of something in a work of art.', 41),
(636, 'Waves*', 'to cause to move up and down or back and forth.', 41),
(637, 'Amplitude', 'the state or quality of being ample; largeness.', 41),
(638, 'Absorbed', 'to take in or soak up.', 41),
(639, 'Transmitted', 'to send or carry from one person, place, or thing to another.', 41),
(640, 'Explanation', 'the act or process of making clear in speech or writing.', 41),
(641, 'Photosynthesis', 'process which a plant uses sunlight to change water and carbon dioxide into food for itself.', 41),
(642, 'Cycling', 'the process by which a green plant uses sunlight to change water and carbon dioxide into food for itself.', 41),
(643, 'Flow', 'to move in a smooth, steady stream.', 41),
(644, 'adaptation', 'a change in an organism over time that helps it survive', 42),
(645, 'artificail selection', 'controlling reproduction to modify the outcome', 42),
(646, 'asexual reproduction', 'reproduction done by one organism', 42),
(647, 'behaviors', 'a certain way a person acts, or normal actions for a person, animal, or thing', 42),
(648, 'biodiversity', 'the different life forms inside an ecosystem', 42),
(649, 'brain', 'organ inside the skull, part of the central nervous system, where thought memory and feelings are', 42),
(650, 'Cell', 'part of plant or animal life, having a nucleus, it is surrounded by a membrane.', 42),
(651, 'Cell membrane', 'Holds the contents of a cell', 42),
(652, 'Cell wall', 'made of cellulose, outside layer of a plant cell, very tough', 42),
(653, 'chemical', 'something made up of chemicals', 42),
(654, 'chemical reactions', 'process substances undergo chemical changes, as a result form something new', 42),
(655, 'Chloroplasts', 'where photosynthesis takes place, green in color', 42),
(656, 'chromosomes', 'part of the cells that contain genes', 42),
(657, 'circulatory system', 'system in the body that includes the heart and blood vessels', 42),
(658, 'ecosystem', 'where living things form and exist in a community', 42),
(659, 'electromagnetic energy', 'energy that can travel through space as a wave', 42),
(660, 'embryo', 'the beginning developing stage of an animal or plant', 42),
(661, 'energy', 'power that makes something active or work', 42),
(662, 'excretory system', 'system in the body that includes the small intestine, large intestine, stomach, colon, kidneys, and bladder', 42),
(663, 'food webs', 'food chain in an ecosystem', 42),
(664, 'fossil record', 'a time record of fossils that are found in different layers of rock', 42),
(665, 'gene therapy', 'placing a different gene into a cell to replace a bad or defective gene', 42),
(666, 'genes', 'a section of chromosome that influences certain traits', 42),
(667, 'genetic factors', 'things that are influence by genes or heredity', 42),
(668, 'Growth', 'the act of getting bigger or smaller', 42),
(669, 'inheritence of traits', 'a trait passed down from previous generations', 42),
(670, 'interaction', 'action of one individual to another', 42),
(671, 'matter', 'any substance that has atoms and can take up space', 42),
(672, 'mechanical', 'being made of or something that makes up a machine', 42),
(673, 'memories', 'remembering an expeirence, person, place, or thing', 42),
(674, 'Mitochondria', 'in almost all plants and animals, turns food into energy, rodlike shape', 42),
(675, 'muscular system', 'all the muscles in the body', 42),
(676, 'mutation', 'an sudden abnormal change genetically', 42),
(677, 'natural selection', 'a process that takes place during reproduction that selection organisms best adapted to the environment', 42),
(678, 'nervous system', 'system in the body that includes nerves and nerve centers', 42),
(679, 'Nucleus', 'the most active part of the cell located in the middle, contains chromosomes', 42),
(680, 'organ', 'part of a plant or animal that performs a special task', 42),
(681, 'Organelle', 'A structure inside the cell that has a special function', 42),
(682, 'organism', 'a living thing', 42),
(683, 'photosynthesis', 'process where plants capture the suns rays to produce energy', 42),
(684, 'plant reproduction', 'done by pollination', 42),
(685, 'pollination', 'to move pollen to a plant that will fertilize the seeds', 42),
(686, 'population', 'people or animals that live in one area as a group', 42),
(687, 'punnett square', 'a way to track traits that may or may not be passed down', 42),
(688, 'reproduction', 'how living things create offspring', 42),
(689, 'respiratory system', 'system in the body that brings oxygen into the body; includes the lungs, diaphragm, windpipe and nose', 42),
(690, 'selective breeding', 'evolutionary nature in animals to only reproduce with animals who are adapt to survive for a long time', 42),
(691, 'sensory receptors', 'spots that only react when one of the five senses (touch, smell, sight,sound, and taste) happens', 42),
(692, 'sexual reproduction', 'when two organism come together to reproduce', 42),
(693, 'stimuli', 'causes a response in the body or body part', 42),
(694, 'Tissue', 'cells grouped together and do one function together', 42),
(695, 'traits', 'characteristic that makes something different that another thing', 42),
(696, 'cyclic', 'pertaining to, forming, or recurring in a cycle', 43),
(697, 'lunar', 'of having to do with the moon', 43),
(698, 'graphic', 'a picture, diagram, or other image used as an illustration', 43),
(699, 'concept', 'a general idea or thought', 43),
(700, 'model', 'a small copy of something, often used as a guide to making the thing in full size', 43),
(701, 'intensity', 'strength or energy of thought or action', 43),
(702, 'differential', 'being, characterized by, or causing a difference or distinction', 43),
(703, 'natural', 'of or produced by nature; not made by humans', 43),
(704, 'phenomenon', 'a happening or fact that can be seen or known through the senses', 43),
(705, 'solar', 'of, having to do with, or coming from the sun', 43),
(707, 'axis', 'a real or imaginary line through the center of an object, around which the object turns', 43),
(708, 'gravitation', 'the force that pulls planets, stars, or particles toward one another', 43),
(709, 'orbit', 'the curved path in which an object moves in a circle around another body', 43),
(710, 'consistency', 'agreement or similarity between or among different things', 43),
(711, 'force', 'power, energy, or physical strength', 43),
(712, 'scale*', 'a set of numbered marks made at even points along a ruler other measuring device', 43),
(713, 'property', 'a quality that something is known by; characteristic', 43),
(714, 'radius', 'a straight line from the center to the edge of a circle or sphere', 43),
(715, 'diameter', 'a straight line from one side of a circle or sphere to the other that passes through the center', 43),
(716, 'structure', 'the way in which such a thing is joined together', 43),
(717, 'composition', 'the way the parts of something are put together; order or structure.', 43),
(718, 'strata*', 'a layer of material of similar composition, depth, temperature', 43),
(719, 'fossil', 'the remains or trace of a living animal or plant from a long time ago.', 43),
(720, 'geology', 'the study of the physical structure of the earth and how it has changed over time', 43),
(721, 'sediment', 'solid material that settles to the bottom of a liquid', 43),
(722, 'melt', 'to change from a solid to a liquid state through heat or pressure', 43),
(723, 'weather', 'the conditions outside at a particular place and time (examples: sunshine, rain, temperature)', 43),
(724, 'weathering**', 'to change as a result of being exposed to the weather', 43),
(725, 'deform', 'to damage the shape or form', 43),
(726, 'sedimentation**', 'the accumulating or depositing of sediment', 43),
(727, 'stable*', 'fixed, firm, or steady in position; not shaky or easily moved', 43),
(728, 'stability**', 'the condition or quality of being stable', 43),
(729, 'crystal', 'a clear kind of rock that has a regular shape', 43),
(730, 'crystallize**', 'to change into or cause to become crystals', 43),
(731, 'atom', 'the smallest possible unit of a chemical element', 43),
(732, 'exterior', 'on or having to do with the outside; outer.', 43),
(733, 'interior', 'of the inside or inner part', 43),
(734, 'temporal*', 'of or concerning time', 43),
(735, 'spatial', 'of, relating to, or occurring in space (examples: width, length, height)', 43),
(736, 'deposit', 'to put down or place', 43),
(737, 'deposition**', 'the act of depositing something, or the thing deposited', 43),
(738, 'geography', 'the physical features of an area on the earth''s surface', 43),
(739, 'continental shelf', 'the edge of a continent that is below water', 43),
(740, 'tectonic', 'of or pertaining to changes in the earth''s crust', 43),
(741, 'ridge', 'a long, narrow, raised section at the top of something; crest', 43),
(742, 'trench', 'a deep, narrow ditch', 43),
(743, 'fracture', 'a break or crack', 43),
(744, 'seafloor', 'the floor of an ocean or sea', 43),
(745, 'crust*', 'the outer layer of Earth, another planet, or a moon', 43),
(746, 'continent', 'one of the earth''s seven major areas of land', 43),
(747, 'hydrologic cycle (water cycle)', 'process where water on the earth evaporates, condenses in the atmosphere, and returns to earth', 43),
(748, 'gravity', 'the force by which all objects in the universe are attracted to each other', 43),
(749, 'transpire', 'to give off waste from a surface in the form of vapor', 43),
(750, 'evaporate', 'to turn from liquid into gas', 43),
(751, 'condesation', 'the act or process of changing from a gas to a liquid', 43),
(752, 'precipitation', 'the act of water falling in the form of rain, snow, sleet, or hail', 43),
(753, 'atmosphere*', 'the gases surrounding the earth or other similar objects in outer space', 43),
(754, 'landform', 'earth''s features that have been formed by natural forces (example: hill or valley)', 43),
(755, 'air mass', 'a body of air that covers a wide area and has little horizontal variation', 43),
(756, 'pressure', 'a steady force upon a surface', 43),
(757, 'humidity', 'water vapor or moisture in the air', 43),
(758, 'wind*', 'air as it moves naturally over the surface of the earth', 43),
(759, 'latitude', 'the distance between the equator and a point north or south on the earth''s surface', 43),
(760, 'altitude', 'the height of a thing above earth or above sea level', 43),
(761, 'circulation', 'the movement or passage of something place to place', 43),
(762, 'Coriolis effect', 'the apparent deflection of moving objects as observed from a rotating frame', 43),
(763, 'convection', 'the movement or transfer of heat through a liquid or gas', 43),
(764, 'density', 'the state or condition of having parts very close together with little space between', 43),
(765, 'salinity', 'pertaining to, or containing salt', 43),
(766, 'thermal', 'using, resulting from, or producing heat', 43),
(767, 'mineral', 'a substance formed in the earth that is not of an animal or a plant', 43),
(768, 'ground water', 'the water beneath the earth''s surface that supplies springs and wells', 43),
(769, 'petroleum', 'a thick oil found by drilling beneath the earth''s surface', 43),
(770, 'deplete', 'to lessen drastically; exhaust', 43),
(771, 'replenish', 'to make complete or full again; refill', 43),
(772, 'hazard', 'something that causes a danger or risk', 43),
(773, 'magnitude', 'size or extent', 43),
(774, 'frequency', 'the number of times something happens within a certain period of time', 43),
(775, 'mitigate', 'to lessen the force, severity, or impact of', 43),
(776, 'precursor', 'indication that a specific event will soon take place', 43),
(777, 'severity', 'strength; intensity', 43),
(778, 'potential', 'able to come into being; possible', 43),
(779, 'technology', 'a particular method of solving practical problems that comes out of research', 43),
(780, 'monitor', 'a device for collecting information about the use, operation, or condition of something', 43),
(781, 'pollution**', 'poisons, wastes, or other materials that pollute', 43),
(782, 'economic', 'having to do with the money system', 43),
(783, 'minimize', 'to make as small as possible', 43),
(784, 'facilitate', 'to make less difficult; help in the doing of', 43),
(785, 'criteria*', 'a standard or test by which to judge or decide', 43),
(786, 'constraint', 'something that compels, confines, or restrains', 43),
(787, 'per capita', 'for each unit of population; per person', 43),
(788, 'consumption', 'the act or process of using up', 43),
(789, 'necessity', 'the state or condition of being needed', 43),
(790, 'sufficient*', 'enough; as much as needed', 43),
(791, 'combustion', 'the act or process of burning', 43),
(792, 'agriculture', 'the science and work of raising crops and farm animals; farming', 43),
(793, 'global warming', 'an increase in the world''s temperatures', 43),
(794, 'gradual', 'happening by degrees that are small and even', 43),
(795, 'sudden', 'happening without notice or warning; not expected', 43),
(796, 'concentrate', 'to make stronger or more pure', 43),
(797, 'greenhouse gas**', 'a gas that contributes to the greenhouse effect by absorbing infrared radiation', 43),
(798, 'object', 'anything that has shape or form and can be seen or touched', 44),
(799, 'tool', 'an instrument that helps one to do something', 44),
(800, 'process', 'a series of actions used to produce something or reach a goal', 44),
(801, 'system', 'a group of related things or parts that work together as a whole', 44),
(802, 'component', 'a part of something', 44),
(803, 'boundary', 'something that marks the edge or limit', 44),
(804, 'quantitative', 'of or concerning the amount of something', 44),
(805, 'systematic', 'involving or based on a method or plan; not random or chaotic', 44),
(806, 'solution', 'an answer to or explanation of a problem', 44),
(807, 'alternative', 'the choice of one or more options', 44),
(808, 'qualitative', 'of or concerning the nature or attributes of something', 44),
(809, 'similar', 'having resemblance or likeness', 44),
(810, 'different', 'not the same; not alike', 44),
(811, 'iterate', 'to say or do again or repeatedly; reiterate', 44),
(812, 'modify', 'to change in some way; alter', 44),
(813, 'optimal', 'most wanted or desirable; producing or likely to produce the best result', 44),
(814, 'functionality', 'capability', 44),
(815, 'generate', 'to bring into being or to produce', 44),
(816, 'motion', 'the act of changing place;movement', 45),
(817, 'force', 'power,energy or physical strength', 45),
(818, 'variable ', 'likely to change, not constant', 45),
(819, 'pattern', 'an arrangement of shapes, lines etc. that can be repeated over and over again', 45),
(820, 'prediction', 'a statement that something might happen or is expected to happen', 45),
(821, 'discovery', 'to learn or find out about through study or by observing', 45),
(822, 'interaction', 'action of one upon another or others; action in response to others; influence, or effect', 45),
(823, 'organism', 'an individual living thing, such as a plant, an animal, or a bacteria', 46),
(824, 'evidence', 'something that gives proof or a reason to believe', 46),
(825, 'evaluate', 'to judge or set the worth of', 46),
(826, 'synthesis', 'a process of reasoning by deduction from given propositions and principles', 46),
(827, 'trait', 'a characteristic or quality that makes a person or animal different from others', 46),
(828, 'inherit', 'to receive through a parent''s genes', 46),
(829, 'variation', 'a slightly different form or version of something', 46),
(830, 'offspring', 'the child or young of a particular human, animal, or plant', 46),
(831, 'characteristic', 'having to do with a typical or special quality of a person, group, action, or thing', 46),
(832, 'extinct', 'no longer existing', 46),
(833, 'ancestry', 'the origin or evolution of an object, idea, or style', 46),
(834, 'diversity', 'a variety', 46),
(835, 'proportion', 'the relationship in number or size of two things or sets of things', 46),
(836, 'predator', 'an animal that hunts other animals for food', 46),
(837, 'camouflage', 'to hide by coloring or covering to look like the surroundings', 46),
(838, 'habitat', 'the natural environment of an animal or plant', 46),
(839, 'adaptation', 'Â a change in an organism, over time, that better enables it to survive and multiply', 46),
(840, 'population', 'the people who live in an area, considered as a group', 46),
(841, 'environment', 'everything that surrounds a particular type of living thing and affects its growth and health', 46),
(842, 'biodiversity', 'the variety of life in the world or in a particular habitat or ecosystem', 46),
(843, 'quantitative', 'of, concerning, or capable of being measured or expressed as, a quantity', 47),
(844, 'pictograph', 'a diagram or chart in which pictorial symbols are used to convey information and ideas', 47),
(845, 'climate', 'the usual weather conditions in a place', 47),
(846, 'equatorial', 'Â from, near, or on any equator', 47),
(847, 'polar', 'of or having to do with the North Pole or South Pole of the earth', 47),
(848, 'coastal', 'of, at, or near a coast(next to an ocean)', 47);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `accounts`
--
ALTER TABLE `accounts`
ADD PRIMARY KEY (`ID`);
--
-- Indexes for table `admins`
--
ALTER TABLE `admins`
ADD PRIMARY KEY (`ID`);
--
-- Indexes for table `assessmentassignments`
--
ALTER TABLE `assessmentassignments`
ADD KEY `assessmentID` (`assessmentID`), ADD KEY `studentID` (`studentID`);
--
-- Indexes for table `assessmentquestions`
--
ALTER TABLE `assessmentquestions`
ADD PRIMARY KEY (`ID`), ADD KEY `termID` (`termID`), ADD KEY `assessmentID` (`assessmentID`);
--
-- Indexes for table `assessments`
--
ALTER TABLE `assessments`
ADD PRIMARY KEY (`ID`), ADD KEY `catID` (`catID`), ADD KEY `classID` (`classID`);
--
-- Indexes for table `categories`
--
ALTER TABLE `categories`
ADD PRIMARY KEY (`ID`);
--
-- Indexes for table `classes`
--
ALTER TABLE `classes`
ADD PRIMARY KEY (`ID`), ADD KEY `schoolID` (`schoolID`);
--
-- Indexes for table `classlist`
--
ALTER TABLE `classlist`
ADD KEY `classlist_ibfk_1` (`accountID`), ADD KEY `classlist_ibfk_2` (`classID`);
--
-- Indexes for table `password_change_requests`
--
ALTER TABLE `password_change_requests`
ADD PRIMARY KEY (`ID`);
--
-- Indexes for table `results`
--
ALTER TABLE `results`
ADD PRIMARY KEY (`ID`), ADD KEY `studentID` (`studentID`), ADD KEY `assessmentID` (`assessmentID`), ADD KEY `termID` (`termID`), ADD KEY `matchID` (`matchID`);
--
-- Indexes for table `schools`
--
ALTER TABLE `schools`
ADD PRIMARY KEY (`ID`);
--
-- Indexes for table `students`
--
ALTER TABLE `students`
ADD PRIMARY KEY (`ID`), ADD KEY `classID` (`classID`);
--
-- Indexes for table `teachers`
--
ALTER TABLE `teachers`
ADD PRIMARY KEY (`ID`), ADD KEY `classID` (`classID`);
--
-- Indexes for table `terms`
--
ALTER TABLE `terms`
ADD PRIMARY KEY (`ID`), ADD KEY `catID` (`catID`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `accounts`
--
ALTER TABLE `accounts`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=15;
--
-- AUTO_INCREMENT for table `admins`
--
ALTER TABLE `admins`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=36;
--
-- AUTO_INCREMENT for table `assessmentquestions`
--
ALTER TABLE `assessmentquestions`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=1150;
--
-- AUTO_INCREMENT for table `assessments`
--
ALTER TABLE `assessments`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=65;
--
-- AUTO_INCREMENT for table `categories`
--
ALTER TABLE `categories`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=48;
--
-- AUTO_INCREMENT for table `classes`
--
ALTER TABLE `classes`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=1000;
--
-- AUTO_INCREMENT for table `results`
--
ALTER TABLE `results`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=190;
--
-- AUTO_INCREMENT for table `schools`
--
ALTER TABLE `schools`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=1000;
--
-- AUTO_INCREMENT for table `students`
--
ALTER TABLE `students`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `teachers`
--
ALTER TABLE `teachers`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `terms`
--
ALTER TABLE `terms`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=849;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `assessmentassignments`
--
ALTER TABLE `assessmentassignments`
ADD CONSTRAINT `assessmentassignments_ibfk_1` FOREIGN KEY (`assessmentID`) REFERENCES `assessments` (`ID`),
ADD CONSTRAINT `assessmentassignments_ibfk_2` FOREIGN KEY (`studentID`) REFERENCES `accounts` (`ID`);
--
-- Constraints for table `assessmentquestions`
--
ALTER TABLE `assessmentquestions`
ADD CONSTRAINT `assessmentquestions_ibfk_1` FOREIGN KEY (`termID`) REFERENCES `terms` (`ID`),
ADD CONSTRAINT `assessmentquestions_ibfk_2` FOREIGN KEY (`assessmentID`) REFERENCES `assessments` (`ID`);
--
-- Constraints for table `assessments`
--
ALTER TABLE `assessments`
ADD CONSTRAINT `assessments_ibfk_1` FOREIGN KEY (`catID`) REFERENCES `categories` (`ID`),
ADD CONSTRAINT `assessments_ibfk_2` FOREIGN KEY (`classID`) REFERENCES `classes` (`ID`);
--
-- Constraints for table `classes`
--
ALTER TABLE `classes`
ADD CONSTRAINT `classes_ibfk_1` FOREIGN KEY (`schoolID`) REFERENCES `schools` (`ID`);
--
-- Constraints for table `classlist`
--
ALTER TABLE `classlist`
ADD CONSTRAINT `classlist_ibfk_1` FOREIGN KEY (`accountID`) REFERENCES `accounts` (`ID`),
ADD CONSTRAINT `classlist_ibfk_2` FOREIGN KEY (`classID`) REFERENCES `classes` (`ID`);
--
-- Constraints for table `results`
--
ALTER TABLE `results`
ADD CONSTRAINT `results_ibfk_1` FOREIGN KEY (`studentID`) REFERENCES `accounts` (`ID`),
ADD CONSTRAINT `results_ibfk_2` FOREIGN KEY (`assessmentID`) REFERENCES `assessments` (`ID`),
ADD CONSTRAINT `results_ibfk_3` FOREIGN KEY (`termID`) REFERENCES `terms` (`ID`),
ADD CONSTRAINT `results_ibfk_4` FOREIGN KEY (`matchID`) REFERENCES `terms` (`ID`);
--
-- Constraints for table `students`
--
ALTER TABLE `students`
ADD CONSTRAINT `students_ibfk_1` FOREIGN KEY (`classID`) REFERENCES `classes` (`ID`);
--
-- Constraints for table `teachers`
--
ALTER TABLE `teachers`
ADD CONSTRAINT `teachers_ibfk_1` FOREIGN KEY (`classID`) REFERENCES `classes` (`ID`);
--
-- Constraints for table `terms`
--
ALTER TABLE `terms`
ADD CONSTRAINT `terms_ibfk_1` FOREIGN KEY (`catID`) REFERENCES `categories` (`ID`); |
-- phpMyAdmin SQL Dump
-- version 4.9.0.1
-- https://www.phpmyadmin.net/
--
-- Хост: 127.0.0.1:3306
-- Время создания: Окт 22 2019 г., 16:30
-- Версия сервера: 5.7.25
-- Версия PHP: 7.3.9
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- База данных: `newcrm`
--
-- --------------------------------------------------------
--
-- Структура таблицы `auth_assignment`
--
CREATE TABLE `auth_assignment` (
`item_name` varchar(64) COLLATE utf8_unicode_ci NOT NULL,
`user_id` varchar(64) COLLATE utf8_unicode_ci NOT NULL,
`created_at` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Дамп данных таблицы `auth_assignment`
--
INSERT INTO `auth_assignment` (`item_name`, `user_id`, `created_at`) VALUES
('Admin', '1', 1571749533),
('Managers', '2', 1571749718),
('Users', '3', 1571749838);
-- --------------------------------------------------------
--
-- Структура таблицы `auth_item`
--
CREATE TABLE `auth_item` (
`name` varchar(64) COLLATE utf8_unicode_ci NOT NULL,
`type` smallint(6) NOT NULL,
`description` text COLLATE utf8_unicode_ci,
`rule_name` varchar(64) COLLATE utf8_unicode_ci DEFAULT NULL,
`data` blob,
`created_at` int(11) DEFAULT NULL,
`updated_at` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Дамп данных таблицы `auth_item`
--
INSERT INTO `auth_item` (`name`, `type`, `description`, `rule_name`, `data`, `created_at`, `updated_at`) VALUES
('/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/*', 2, NULL, NULL, NULL, 1571749449, 1571749449),
('/admin/assignment/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/default/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/menu/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/permission/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/role/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/route/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/rule/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/admin/user/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/app/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/category/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/category/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/clients/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/clients/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/debug/*', 2, NULL, NULL, NULL, 1571749462, 1571749462),
('/debug/default/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/debug/user/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/elfinder/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/fines/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/fines/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/gii/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/gii/default/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/inventory/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/inventory/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/off/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/off/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/order/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/order/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/other/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/other/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/prize/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/prize/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/products/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/products/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/salary/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/salary/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/site/*', 2, NULL, NULL, NULL, 1571749474, 1571749474),
('/site/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/sources/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/sources/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/waybill/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/waybill/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('/workers/*', 2, NULL, NULL, NULL, 1571749487, 1571749487),
('/workers/index', 2, NULL, NULL, NULL, 1571749797, 1571749797),
('Admin', 1, 'admin users', NULL, NULL, 1571749522, 1571749522),
('adminAccess', 2, 'admin', NULL, NULL, 1571749507, 1571749507),
('managerAccess', 2, 'manager users\r\n', NULL, NULL, 1571749672, 1571749672),
('Managers', 1, 'manager users', NULL, NULL, 1571749709, 1571749709),
('userAccess', 2, NULL, NULL, NULL, 1571749754, 1571749927),
('Users', 1, 'Roule for users', NULL, NULL, 1571749830, 1571749830);
-- --------------------------------------------------------
--
-- Структура таблицы `auth_item_child`
--
CREATE TABLE `auth_item_child` (
`parent` varchar(64) COLLATE utf8_unicode_ci NOT NULL,
`child` varchar(64) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Дамп данных таблицы `auth_item_child`
--
INSERT INTO `auth_item_child` (`parent`, `child`) VALUES
('adminAccess', '/*'),
('adminAccess', '/admin/*'),
('adminAccess', '/admin/assignment/*'),
('adminAccess', '/admin/default/*'),
('adminAccess', '/admin/menu/*'),
('adminAccess', '/admin/permission/*'),
('adminAccess', '/admin/role/*'),
('adminAccess', '/admin/route/*'),
('adminAccess', '/admin/rule/*'),
('adminAccess', '/admin/user/*'),
('adminAccess', '/app/*'),
('adminAccess', '/category/*'),
('managerAccess', '/category/*'),
('userAccess', '/category/index'),
('adminAccess', '/clients/*'),
('managerAccess', '/clients/*'),
('userAccess', '/clients/index'),
('adminAccess', '/debug/*'),
('adminAccess', '/debug/default/*'),
('adminAccess', '/debug/user/*'),
('adminAccess', '/elfinder/*'),
('adminAccess', '/fines/*'),
('managerAccess', '/fines/*'),
('userAccess', '/fines/index'),
('adminAccess', '/gii/*'),
('adminAccess', '/gii/default/*'),
('adminAccess', '/inventory/*'),
('managerAccess', '/inventory/*'),
('userAccess', '/inventory/index'),
('adminAccess', '/off/*'),
('managerAccess', '/off/*'),
('userAccess', '/off/index'),
('adminAccess', '/order/*'),
('managerAccess', '/order/*'),
('userAccess', '/order/index'),
('adminAccess', '/other/*'),
('managerAccess', '/other/*'),
('userAccess', '/other/index'),
('adminAccess', '/prize/*'),
('managerAccess', '/prize/*'),
('userAccess', '/prize/index'),
('adminAccess', '/products/*'),
('managerAccess', '/products/*'),
('userAccess', '/products/index'),
('adminAccess', '/salary/*'),
('managerAccess', '/salary/*'),
('userAccess', '/salary/index'),
('adminAccess', '/site/*'),
('managerAccess', '/site/*'),
('userAccess', '/site/*'),
('userAccess', '/site/index'),
('adminAccess', '/sources/*'),
('managerAccess', '/sources/*'),
('userAccess', '/sources/index'),
('adminAccess', '/waybill/*'),
('managerAccess', '/waybill/*'),
('userAccess', '/waybill/index'),
('adminAccess', '/workers/*'),
('managerAccess', '/workers/*'),
('userAccess', '/workers/index'),
('Admin', 'adminAccess'),
('Managers', 'managerAccess'),
('Users', 'userAccess');
-- --------------------------------------------------------
--
-- Структура таблицы `auth_rule`
--
CREATE TABLE `auth_rule` (
`name` varchar(64) COLLATE utf8_unicode_ci NOT NULL,
`data` blob,
`created_at` int(11) DEFAULT NULL,
`updated_at` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Структура таблицы `category`
--
CREATE TABLE `category` (
`id` int(10) NOT NULL,
`title` varchar(255) NOT NULL,
`description` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `category`
--
INSERT INTO `category` (`id`, `title`, `description`) VALUES
(1, 'Овощи,фрукты', 'Овощи,фрукты'),
(2, 'Морепродукты', 'Морепродукты'),
(3, 'Мясо', 'Мясо'),
(4, 'Вода,соки,напитки', 'Вода,соки,напитки'),
(5, 'Чай,кофе', 'Чай,кофе'),
(6, 'Хлеб', 'Хлеб'),
(7, 'Соусы', 'Соусы'),
(8, 'Крупы', 'Крупы'),
(9, 'Алкоголь', 'Алкоголь'),
(10, 'Замороженные продукты', 'Замороженные продукты'),
(11, 'Сладости', 'Конфеты, шоколад');
-- --------------------------------------------------------
--
-- Структура таблицы `clients`
--
CREATE TABLE `clients` (
`id` int(10) NOT NULL,
`name` varchar(255) NOT NULL,
`phone` varchar(255) NOT NULL,
`address` varchar(255) NOT NULL,
`company` enum('0','1') DEFAULT NULL,
`comment` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `clients`
--
INSERT INTO `clients` (`id`, `name`, `phone`, `address`, `company`, `comment`) VALUES
(1, 'Владимир', '+380986002030', 'пр.Наличных д.4 ', '1', 'ТОВ \"Альянс\"'),
(2, '<NAME>', '+380986002030', 'пр.Наличных д.4 ', '0', 'Доставка в день заказа'),
(3, '<NAME>', '+380986002030', 'пр.Наличных д.4 ', '1', 'ООО \"Застрахуй\"'),
(4, 'Константин', '+380986002030', 'пр.Наличных д.4 ', '1', 'ТОВ \"Город-мечта\"');
-- --------------------------------------------------------
--
-- Структура таблицы `fines`
--
CREATE TABLE `fines` (
`id` int(10) NOT NULL,
`worker_id` int(10) NOT NULL,
`money` varchar(255) NOT NULL,
`description` varchar(255) NOT NULL,
`date` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `fines`
--
INSERT INTO `fines` (`id`, `worker_id`, `money`, `description`, `date`) VALUES
(1, 2, '-200 грн', 'Опаздал на работу', '2019-10-15'),
(2, 4, '-100 грн', 'Жалоба посетителя', '2019-10-08');
-- --------------------------------------------------------
--
-- Структура таблицы `inventory`
--
CREATE TABLE `inventory` (
`id` int(10) NOT NULL,
`date` date NOT NULL,
`cat_id` int(10) NOT NULL,
`worker_id` int(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `inventory`
--
INSERT INTO `inventory` (`id`, `date`, `cat_id`, `worker_id`) VALUES
(1, '2019-10-18', 1, 5),
(2, '2019-10-09', 3, 5),
(3, '2019-10-04', 2, 5);
-- --------------------------------------------------------
--
-- Структура таблицы `inven_products`
--
CREATE TABLE `inven_products` (
`id` int(10) NOT NULL,
`inven_id` int(10) NOT NULL,
`product_id` int(10) NOT NULL,
`cost` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `inven_products`
--
INSERT INTO `inven_products` (`id`, `inven_id`, `product_id`, `cost`) VALUES
(1, 1, 1, '200'),
(2, 1, 2, '35'),
(3, 2, 5, '30'),
(4, 2, 6, '20'),
(5, 3, 3, '12'),
(6, 3, 4, '5');
-- --------------------------------------------------------
--
-- Структура таблицы `menu`
--
CREATE TABLE `menu` (
`id` int(11) NOT NULL,
`name` varchar(128) NOT NULL,
`parent` int(11) DEFAULT NULL,
`route` varchar(255) DEFAULT NULL,
`order` int(11) DEFAULT NULL,
`data` blob
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Структура таблицы `migration`
--
CREATE TABLE `migration` (
`version` varchar(180) NOT NULL,
`apply_time` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `migration`
--
INSERT INTO `migration` (`version`, `apply_time`) VALUES
('m000000_000000_base', 1571746495),
('m140506_102106_rbac_init', 1571748120),
('m140602_111327_create_menu_table', 1571748112),
('m160312_050000_create_user', 1571748112),
('m170907_052038_rbac_add_index_on_auth_assignment_user_id', 1571748120),
('m180523_151638_rbac_updates_indexes_without_prefix', 1571748120);
-- --------------------------------------------------------
--
-- Структура таблицы `off_products`
--
CREATE TABLE `off_products` (
`id` int(10) NOT NULL,
`off_id` int(10) NOT NULL,
`product_id` int(10) NOT NULL,
`price` varchar(255) NOT NULL,
`cost` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `off_products`
--
INSERT INTO `off_products` (`id`, `off_id`, `product_id`, `price`, `cost`) VALUES
(1, 1, 1, '30,30 грн', '3'),
(2, 2, 9, '120,10 грн', '1'),
(3, 3, 2, '10,10 грн', '1'),
(4, 4, 7, '50,45 грн', '1'),
(5, 4, 8, '6,45 грн', '10');
-- --------------------------------------------------------
--
-- Структура таблицы `order`
--
CREATE TABLE `order` (
`id` int(10) NOT NULL,
`date` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`worker_id` int(10) DEFAULT NULL,
`client_id` int(10) NOT NULL,
`payment` enum('0','1','2','3') DEFAULT NULL,
`price` varchar(255) NOT NULL,
`comment` varchar(255) DEFAULT NULL,
`status` enum('0','1','2') DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `order`
--
INSERT INTO `order` (`id`, `date`, `worker_id`, `client_id`, `payment`, `price`, `comment`, `status`) VALUES
(1, '2019-10-17 14:19:04', 3, 1, '1', '300 грн', '<p>Доставка в понедельник</p>\r\n', '1'),
(2, '2019-10-17 13:19:47', 4, 2, '3', '4000 грн', 'Упаковка', '1'),
(3, '2019-06-19 13:20:14', 1, 3, '2', '5000 грн', '', '2'),
(4, '2019-10-18 13:20:38', 4, 1, '1', '400 грн', '', '0'),
(5, '2019-10-18 13:21:03', 3, 3, '1', '500 грн', NULL, '0'),
(6, '2019-10-18 13:21:20', 3, 4, '1', '350,40 грн', '<p>Доставка</p>\r\n', '0'),
(7, '2019-10-17 14:19:04', 3, 1, '1', '300 грн', 'Доставка в понедельник', '0'),
(8, '2019-10-17 13:19:47', 4, 2, '3', '4000 грн', 'Упаковка', '1'),
(9, '2019-06-19 13:20:14', 1, 3, '2', '5000 грн', '', '2'),
(10, '2019-10-18 13:20:38', 4, 1, '1', '400 грн', '', '0'),
(11, '2019-10-18 13:21:03', 3, 3, '1', '500 грн', NULL, '0'),
(12, '2019-10-18 13:21:20', 3, 4, '1', '350,40 грн', 'Доставка', '0'),
(13, '2019-10-17 14:19:04', 3, 1, '1', '300 грн', 'Доставка в понедельник', '0'),
(14, '2019-10-17 13:19:47', 4, 2, '3', '4000 грн', 'Упаковка', '1'),
(15, '2019-06-19 13:20:14', 1, 3, '2', '5000 грн', '', '2'),
(16, '2019-10-18 13:20:38', 4, 1, '1', '400 грн', '', '0'),
(17, '2019-10-18 13:21:03', 3, 3, '1', '500 грн', NULL, '0'),
(18, '2019-10-18 13:21:20', 3, 4, '1', '350,40 грн', 'Доставка', '0'),
(19, '2019-10-17 14:19:04', 3, 1, '1', '300 грн', 'Доставка в понедельник', '0'),
(20, '2019-10-17 13:19:47', 4, 2, '3', '4000 грн', 'Упаковка', '1'),
(21, '2019-06-19 13:20:14', 1, 3, '2', '5000 грн', '', '2'),
(22, '2019-10-18 13:20:38', 4, 1, '1', '400 грн', '', '0'),
(23, '2019-10-18 13:21:03', 3, 3, '1', '500 грн', NULL, '0'),
(24, '2019-10-18 13:21:20', 3, 4, '1', '350,40 грн', 'Доставка', '0'),
(25, '2019-10-17 14:19:04', 3, 1, '1', '300 грн', 'Доставка в понедельник', '0'),
(26, '2019-10-17 13:19:47', 4, 2, '3', '4000 грн', 'Упаковка', '1'),
(27, '2019-06-19 13:20:14', 1, 3, '2', '5000 грн', '', '2'),
(28, '2019-10-18 13:20:38', 4, 1, '1', '400 грн', '', '0'),
(29, '2019-10-18 13:21:03', 3, 3, '1', '500 грн', NULL, '0'),
(30, '2019-10-18 13:21:20', 3, 4, '1', '350,40 грн', 'Доставка', '0'),
(31, '2019-10-17 14:19:04', 3, 1, '1', '300 грн', 'Доставка в понедельник', '0');
-- --------------------------------------------------------
--
-- Структура таблицы `order_items`
--
CREATE TABLE `order_items` (
`id` int(10) NOT NULL,
`order_id` int(10) NOT NULL,
`product_id` int(10) UNSIGNED NOT NULL,
`cost` int(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `order_items`
--
INSERT INTO `order_items` (`id`, `order_id`, `product_id`, `cost`) VALUES
(1, 1, 1, 8),
(2, 2, 3, 64),
(3, 2, 4, 24),
(4, 3, 9, 21),
(5, 3, 10, 54),
(6, 4, 5, 9),
(7, 5, 7, 9),
(8, 6, 11, 20),
(9, 7, 1, 8),
(10, 8, 3, 64),
(11, 8, 4, 24),
(12, 9, 9, 21),
(13, 9, 10, 54),
(14, 10, 5, 9),
(15, 11, 7, 9),
(16, 12, 11, 20),
(17, 13, 1, 8),
(18, 14, 3, 64),
(19, 15, 4, 24),
(20, 15, 9, 21),
(21, 16, 10, 54),
(22, 17, 5, 9),
(23, 18, 7, 9),
(24, 19, 11, 20),
(25, 20, 1, 8),
(26, 21, 3, 64),
(27, 21, 4, 24),
(28, 22, 9, 21),
(29, 22, 10, 54),
(30, 23, 5, 9),
(31, 24, 7, 9),
(32, 25, 11, 20),
(33, 26, 1, 8),
(34, 27, 3, 64),
(35, 27, 4, 24),
(36, 28, 9, 21),
(37, 29, 10, 54),
(38, 30, 5, 9),
(39, 31, 7, 9);
-- --------------------------------------------------------
--
-- Структура таблицы `other_costs`
--
CREATE TABLE `other_costs` (
`id` int(10) NOT NULL,
`data` date NOT NULL,
`description` text NOT NULL,
`money` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `other_costs`
--
INSERT INTO `other_costs` (`id`, `data`, `description`, `money`) VALUES
(1, '2019-10-16', 'Списание id#1', '-30,30 грн'),
(2, '2019-10-03', 'Списание id#2', '-120,10 грн'),
(3, '2019-10-02', 'Списание id#3', '-10,10 грн'),
(4, '2019-10-09', 'Списание id#4', '-110,90 грн'),
(5, '2019-10-15', 'Покупка моющих средств', '-200,45 грн');
-- --------------------------------------------------------
--
-- Структура таблицы `prize`
--
CREATE TABLE `prize` (
`id` int(10) NOT NULL,
`worker_id` int(10) NOT NULL,
`money` varchar(255) NOT NULL,
`description` varchar(255) NOT NULL,
`date` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `prize`
--
INSERT INTO `prize` (`id`, `worker_id`, `money`, `description`, `date`) VALUES
(1, 1, '+4000 грн', 'Плодотворный труд', '2019-10-08'),
(2, 5, '+1000 грн', 'Инвентаризация', '2019-10-10');
-- --------------------------------------------------------
--
-- Структура таблицы `products`
--
CREATE TABLE `products` (
`id` int(10) NOT NULL,
`cat_id` int(10) NOT NULL,
`title` varchar(255) NOT NULL,
`description` text,
`cost` int(10) NOT NULL,
`unit` varchar(255) NOT NULL,
`price` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `products`
--
INSERT INTO `products` (`id`, `cat_id`, `title`, `description`, `cost`, `unit`, `price`) VALUES
(1, 1, 'Петрушка', '100г упаковка', 200, '100 g', '41,90 грн'),
(2, 1, 'Картошка', '1 кг ', 35, '1 kg', '10,10 грн'),
(3, 2, 'Скумбрия', 'тушка', 12, '1 шт', '30,45 грн'),
(4, 2, 'Съомга', 'тушка', 5, '1 шт', '80,80 грн'),
(5, 3, 'Курица филе', 'вес', 30, '1 кг', '40,50 грн'),
(6, 3, 'Говядина вырезка', 'вес', 20, '1 кг', '75,42 грн'),
(7, 4, 'Вода минеральная \"Миргородская\"', '6 бутылок в упаков.', 10, '1 упаков.', '50,45 грн'),
(8, 4, 'Вода минеральная \"Изумруд\"', 'бут', 50, '1 бут', '6,45 грн'),
(9, 9, 'Коньяк \"Шустав\" 5 звезд', 'бут', 12, '1 бут', '120,10 грн'),
(10, 11, 'Конфеты АВК', 'кг', 10, '1 кг', '45,50 грн'),
(11, 8, 'Гречка', 'Гречка', 100, '1 кг', '25 грн');
-- --------------------------------------------------------
--
-- Структура таблицы `salary`
--
CREATE TABLE `salary` (
`id` int(10) NOT NULL,
`worker_id` int(10) NOT NULL,
`rate_id` int(10) NOT NULL,
`start_date` date NOT NULL,
`end_date` date NOT NULL,
`prize_id` int(10) DEFAULT NULL,
`fine_id` int(10) DEFAULT NULL,
`money` varchar(255) NOT NULL,
`name` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `salary`
--
INSERT INTO `salary` (`id`, `worker_id`, `rate_id`, `start_date`, `end_date`, `prize_id`, `fine_id`, `money`, `name`) VALUES
(1, 1, 300, '2019-10-01', '2019-10-15', 1, 0, '8500 грн', 'Аванс'),
(2, 5, 120, '2019-10-01', '2019-10-15', 2, 0, '2800 грн', 'Аванс'),
(3, 6, 80, '2019-10-01', '2019-10-15', NULL, 0, '1500 грн', 'Аванс'),
(4, 2, 120, '2019-10-01', '2019-10-15', NULL, 1, '8000 грн', 'Оплата за работу');
-- --------------------------------------------------------
--
-- Структура таблицы `sources`
--
CREATE TABLE `sources` (
`id` int(10) NOT NULL,
`cat_id` int(10) NOT NULL,
`title` varchar(255) NOT NULL,
`description` text
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `sources`
--
INSERT INTO `sources` (`id`, `cat_id`, `title`, `description`) VALUES
(1, 3, 'Мясная лавка', 'ООО \"Мясная лавка\"'),
(2, 1, '<NAME>', 'ТОВ \"Василий Филипыч\"'),
(3, 2, 'Aquafish', 'ОАО \"Aquafish\"'),
(4, 8, 'Алексис', 'ООО \"Алексис\"'),
(5, 10, 'Суворов', 'Суворов'),
(6, 11, 'АВК', 'Конфеты АВК');
-- --------------------------------------------------------
--
-- Структура таблицы `user`
--
CREATE TABLE `user` (
`id` int(11) NOT NULL,
`username` varchar(32) 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
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Дамп данных таблицы `user`
--
INSERT INTO `user` (`id`, `username`, `auth_key`, `password_hash`, `password_reset_token`, `email`, `status`, `created_at`, `updated_at`) VALUES
(1, 'Superadmin', 'O_5Q6_KINzPjIxVLl8P0eoavdqA3RTq2', <PASSWORD>', NULL, '<EMAIL>', 10, 1571748348, 1571748348),
(2, 'Manager', '<PASSWORD>', <PASSWORD>', NULL, '<EMAIL>', 10, 1571748483, 1571748483),
(3, 'User', <PASSWORD>', <PASSWORD>', NULL, '<EMAIL>', 10, 1571748502, 1571748502);
-- --------------------------------------------------------
--
-- Структура таблицы `waybill`
--
CREATE TABLE `waybill` (
`id` int(10) NOT NULL,
`source_id` int(10) NOT NULL,
`date` date NOT NULL,
`description` text,
`price` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `waybill`
--
INSERT INTO `waybill` (`id`, `source_id`, `date`, `description`, `price`) VALUES
(1, 1, '2019-10-17', 'Мясная лавка', '2719 грн'),
(2, 2, '2019-10-02', 'Алексис', '5000 грн'),
(3, 6, '2019-10-11', 'Суворов - конфеты', '450 грн'),
(4, 2, '2019-10-19', 'Овощи', '8380 грн'),
(5, 3, '2019-10-17', 'Скумбрия', '365,40 грн'),
(6, 3, '2019-10-10', 'Съомга', '404 грн');
-- --------------------------------------------------------
--
-- Структура таблицы `waybill_products`
--
CREATE TABLE `waybill_products` (
`id` int(10) NOT NULL,
`waybill_id` int(10) NOT NULL,
`product_id` int(10) NOT NULL,
`cost` varchar(255) NOT NULL,
`price` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `waybill_products`
--
INSERT INTO `waybill_products` (`id`, `waybill_id`, `product_id`, `cost`, `price`) VALUES
(1, 1, 5, '30', '1215 грн'),
(2, 1, 6, '20', '1504 грн'),
(3, 2, 11, '100', '2500 грн'),
(4, 2, 11, '100', '2500 грн'),
(5, 3, 10, '10', '450 грн'),
(6, 4, 1, '200', '8380 грн'),
(7, 5, 3, '12', '365,40 грн'),
(8, 6, 4, '5', '404 грн');
-- --------------------------------------------------------
--
-- Структура таблицы `workers`
--
CREATE TABLE `workers` (
`id` int(10) NOT NULL,
`fio` varchar(255) NOT NULL,
`position` varchar(255) NOT NULL,
`rate` varchar(255) NOT NULL,
`work_day` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `workers`
--
INSERT INTO `workers` (`id`, `fio`, `position`, `rate`, `work_day`) VALUES
(1, '<NAME>', 'Директор', '300 грн/день', 'Пн-Пт'),
(2, '<NAME>', 'Программист', '120 грн/час', 'Пн-Вс'),
(3, '<NAME>', 'Бариста', '150 грн/день', 'Пн-Чт'),
(4, '<NAME>', 'Бариста', '140 грн/день', 'Чт-Пн'),
(5, '<NAME>', 'Кладовщик', '120 грн/день', 'Пн-Пт'),
(6, '<NAME>', 'Уборщица', '80 грн/час', 'Пн-Вс');
-- --------------------------------------------------------
--
-- Структура таблицы `write_off`
--
CREATE TABLE `write_off` (
`id` int(10) NOT NULL,
`date` date NOT NULL,
`reason` text NOT NULL,
`price` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `write_off`
--
INSERT INTO `write_off` (`id`, `date`, `reason`, `price`) VALUES
(1, '2019-10-16', 'Срок годности', '30,30 грн'),
(2, '2019-10-03', 'Уронили', '120,10 грн'),
(3, '2019-10-02', 'Срок годности', '10,10 грн'),
(4, '2019-10-09', 'Уронили', '110,90 грн');
--
-- Индексы сохранённых таблиц
--
--
-- Индексы таблицы `auth_assignment`
--
ALTER TABLE `auth_assignment`
ADD PRIMARY KEY (`item_name`,`user_id`),
ADD KEY `idx-auth_assignment-user_id` (`user_id`);
--
-- Индексы таблицы `auth_item`
--
ALTER TABLE `auth_item`
ADD PRIMARY KEY (`name`),
ADD KEY `rule_name` (`rule_name`),
ADD KEY `idx-auth_item-type` (`type`);
--
-- Индексы таблицы `auth_item_child`
--
ALTER TABLE `auth_item_child`
ADD PRIMARY KEY (`parent`,`child`),
ADD KEY `child` (`child`);
--
-- Индексы таблицы `auth_rule`
--
ALTER TABLE `auth_rule`
ADD PRIMARY KEY (`name`);
--
-- Индексы таблицы `category`
--
ALTER TABLE `category`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `clients`
--
ALTER TABLE `clients`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `fines`
--
ALTER TABLE `fines`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `inventory`
--
ALTER TABLE `inventory`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `inven_products`
--
ALTER TABLE `inven_products`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `menu`
--
ALTER TABLE `menu`
ADD PRIMARY KEY (`id`),
ADD KEY `parent` (`parent`);
--
-- Индексы таблицы `migration`
--
ALTER TABLE `migration`
ADD PRIMARY KEY (`version`);
--
-- Индексы таблицы `off_products`
--
ALTER TABLE `off_products`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `order`
--
ALTER TABLE `order`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `order_items`
--
ALTER TABLE `order_items`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `other_costs`
--
ALTER TABLE `other_costs`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `prize`
--
ALTER TABLE `prize`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `salary`
--
ALTER TABLE `salary`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `sources`
--
ALTER TABLE `sources`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `waybill`
--
ALTER TABLE `waybill`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `waybill_products`
--
ALTER TABLE `waybill_products`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `workers`
--
ALTER TABLE `workers`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `write_off`
--
ALTER TABLE `write_off`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT для сохранённых таблиц
--
--
-- AUTO_INCREMENT для таблицы `category`
--
ALTER TABLE `category`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT для таблицы `clients`
--
ALTER TABLE `clients`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT для таблицы `fines`
--
ALTER TABLE `fines`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT для таблицы `inventory`
--
ALTER TABLE `inventory`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT для таблицы `inven_products`
--
ALTER TABLE `inven_products`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT для таблицы `menu`
--
ALTER TABLE `menu`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT для таблицы `off_products`
--
ALTER TABLE `off_products`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT для таблицы `order`
--
ALTER TABLE `order`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=32;
--
-- AUTO_INCREMENT для таблицы `order_items`
--
ALTER TABLE `order_items`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=40;
--
-- AUTO_INCREMENT для таблицы `other_costs`
--
ALTER TABLE `other_costs`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT для таблицы `prize`
--
ALTER TABLE `prize`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT для таблицы `products`
--
ALTER TABLE `products`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT для таблицы `salary`
--
ALTER TABLE `salary`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT для таблицы `sources`
--
ALTER TABLE `sources`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT для таблицы `user`
--
ALTER TABLE `user`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT для таблицы `waybill`
--
ALTER TABLE `waybill`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT для таблицы `waybill_products`
--
ALTER TABLE `waybill_products`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT для таблицы `workers`
--
ALTER TABLE `workers`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT для таблицы `write_off`
--
ALTER TABLE `write_off`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- Ограничения внешнего ключа сохраненных таблиц
--
--
-- Ограничения внешнего ключа таблицы `auth_assignment`
--
ALTER TABLE `auth_assignment`
ADD CONSTRAINT `auth_assignment_ibfk_1` FOREIGN KEY (`item_name`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Ограничения внешнего ключа таблицы `auth_item`
--
ALTER TABLE `auth_item`
ADD CONSTRAINT `auth_item_ibfk_1` FOREIGN KEY (`rule_name`) REFERENCES `auth_rule` (`name`) ON DELETE SET NULL ON UPDATE CASCADE;
--
-- Ограничения внешнего ключа таблицы `auth_item_child`
--
ALTER TABLE `auth_item_child`
ADD CONSTRAINT `auth_item_child_ibfk_1` FOREIGN KEY (`parent`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `auth_item_child_ibfk_2` FOREIGN KEY (`child`) REFERENCES `auth_item` (`name`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Ограничения внешнего ключа таблицы `menu`
--
ALTER TABLE `menu`
ADD CONSTRAINT `menu_ibfk_1` FOREIGN KEY (`parent`) REFERENCES `menu` (`id`) ON DELETE SET NULL 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 */;
|
<filename>tools/testfiles/tall-2A.ddl
HDF5 "tall.h5" {
GROUP "/" {
ATTRIBUTE "attr1" {
DATATYPE H5T_STD_I8BE
DATASPACE SIMPLE { ( 10 ) / ( 10 ) }
DATA {
(0): 97, 98, 99, 100, 101, 102, 103, 104, 105, 0
}
}
ATTRIBUTE "attr2" {
DATATYPE H5T_STD_I32BE
DATASPACE SIMPLE { ( 2, 2 ) / ( 2, 2 ) }
DATA {
(0,0): 0, 1,
(1,0): 2, 3
}
}
GROUP "g1" {
GROUP "g1.1" {
DATASET "dset1.1.1" {
DATATYPE H5T_STD_I32BE
DATASPACE SIMPLE { ( 10, 10 ) / ( 10, 10 ) }
ATTRIBUTE "attr1" {
DATATYPE H5T_STD_I8BE
DATASPACE SIMPLE { ( 27 ) / ( 27 ) }
DATA {
(0): 49, 115, 116, 32, 97, 116, 116, 114, 105, 98, 117, 116,
(12): 101, 32, 111, 102, 32, 100, 115, 101, 116, 49, 46, 49,
(24): 46, 49, 0
}
}
ATTRIBUTE "attr2" {
DATATYPE H5T_STD_I8BE
DATASPACE SIMPLE { ( 27 ) / ( 27 ) }
DATA {
(0): 50, 110, 100, 32, 97, 116, 116, 114, 105, 98, 117, 116,
(12): 101, 32, 111, 102, 32, 100, 115, 101, 116, 49, 46, 49,
(24): 46, 49, 0
}
}
}
DATASET "dset1.1.2" {
DATATYPE H5T_STD_I32BE
DATASPACE SIMPLE { ( 20 ) / ( 20 ) }
}
}
GROUP "g1.2" {
EXTERNAL_LINK "extlink" {
TARGETFILE "somefile"
TARGETPATH "somepath"
}
GROUP "g1.2.1" {
SOFTLINK "slink" {
LINKTARGET "somevalue"
}
}
}
}
GROUP "g2" {
DATASET "dset2.1" {
DATATYPE H5T_IEEE_F32BE
DATASPACE SIMPLE { ( 10 ) / ( 10 ) }
}
DATASET "dset2.2" {
DATATYPE H5T_IEEE_F32BE
DATASPACE SIMPLE { ( 3, 5 ) / ( 3, 5 ) }
}
USERDEFINED_LINK "udlink" {
LINKCLASS 187
}
}
}
}
|
USE Bank1
GO
--Problem 14. Create Table Logs
CREATE TABLE Logs(
LogId INT PRIMARY KEY IDENTITY,
AccountId INT,
OldSum DECIMAL(15, 2),
NewSum DECIMAL(15, 2)
)
GO
CREATE TRIGGER tr_Logs
ON Accounts
AFTER UPDATE AS
BEGIN
INSERT INTO Logs(AccountId, OldSum, NewSum)
SELECT d.Id, d.Balance, i.Balance
FROM inserted AS i
JOIN deleted AS d
ON d.Id = i.Id
END
GO
--Problem 15. Create Table Emails
CREATE TABLE NotificationEmails(
Id INT PRIMARY KEY IDENTITY,
Recipient INT,
Subject NVARCHAR(50),
Body NVARCHAR(MAX)
)
GO
CREATE TRIGGER tr_NotificationEmails
ON Logs
AFTER INSERT AS
BEGIN
DECLARE @recepient INT = (SELECT AccountId FROM inserted);
DECLARE @oldBalance DECIMAL(15, 2) = (SELECT OldSum FROM inserted);
DECLARE @newBalance DECIMAL(15, 2) = (SELECT NewSum FROM deleted);
INSERT INTO NotificationEmails(Recipient, Subject, Body)
VALUES(@recepient,
CONCAT('Balance change for account: ', @recepient),
CONCAT('On ', GETDATE(), ' your balance was changed from ', @oldBalance, ' to ', @newBalance))
END
GO
--Problem 16. Deposit Money
ALTER TABLE Accounts
ALTER COLUMN Balance DECIMAL(15, 4)
GO
CREATE PROC usp_DepositMoney (@accountId INT, @moneyAmount DECIMAL(15, 4)) AS
BEGIN
BEGIN TRANSACTION
UPDATE Accounts
SET Balance += @moneyAmount
WHERE Id = @accountId
IF (@@ROWCOUNT <> 1)
BEGIN
RAISERROR('Invalid account', 16, 1)
ROLLBACK;
RETURN;
END
COMMIT;
END
EXEC usp_DepositMoney 5, 100
GO
--Problem 17. Withdraw Money
CREATE PROC usp_WithdrawMoney (@accountId INT, @moneyAmount DECIMAL(15, 4)) AS
BEGIN
BEGIN TRANSACTION
UPDATE Accounts
SET Balance -= @moneyAmount
WHERE Id = @accountId
IF (@@ROWCOUNT <> 1)
BEGIN
RAISERROR('Invalid account', 16, 1)
ROLLBACK;
RETURN;
END
COMMIT;
END
EXEC usp_WithdrawMoney 5, 100
GO
--Problem 18. Money Transfer
CREATE PROC usp_TransferMoney(@senderId INT, @receiverId INT, @amount DECIMAL(15, 4)) AS
BEGIN
BEGIN TRAN
EXEC usp_WithdrawMoney @senderId, @amount
EXEC usp_DepositMoney @receiverId, @amount
COMMIT;
END |
-- phpMyAdmin SQL Dump
-- version 4.9.0.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Nov 27, 2019 at 04:26 PM
-- Server version: 10.3.15-MariaDB
-- PHP Version: 7.1.30
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `newkmi`
--
-- --------------------------------------------------------
--
-- Table structure for table `form_na`
--
CREATE TABLE `form_na` (
`id` int(11) NOT NULL,
`noticket` varchar(20) NOT NULL,
`nama` varchar(50) NOT NULL,
`dari` varchar(50) NOT NULL,
`e_mail` varchar(50) NOT NULL,
`untuk` varchar(20) NOT NULL,
`date` date NOT NULL,
`kasus` varchar(50) NOT NULL,
`duty` varchar(50) NOT NULL,
`dateoec` date NOT NULL,
`systemint` varchar(300) NOT NULL,
`urgency` varchar(10) NOT NULL,
`description` varchar(300) NOT NULL,
`approvalstatus` varchar(50) NOT NULL,
`process` varchar(50) NOT NULL,
`startdate` date NOT NULL,
`starttime` time NOT NULL,
`finisheddate` date NOT NULL,
`reason` varchar(200) NOT NULL,
`created_at` datetime NOT NULL DEFAULT current_timestamp(),
`update_at` datetime NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `form_na`
--
ALTER TABLE `form_na`
ADD PRIMARY KEY (`id`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
<filename>src/test/resources/schema.sql
DROP TABLE car IF EXISTS;
create table car (id int not null, name varchar(255)); |
<gh_stars>0
-- --------------------------------------------------------
-- Host: 192.168.33.10
-- Server version: 5.5.52-MariaDB - MariaDB Server
-- Server OS: Linux
-- HeidiSQL Version: 9.4.0.5125
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!50503 SET NAMES utf8mb4 */;
/*!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 ci
CREATE DATABASE IF NOT EXISTS `ci` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `ci`;
-- Dumping structure for table ci.adm_acl
CREATE TABLE IF NOT EXISTS `adm_acl` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`parent_id` bigint(20) NOT NULL DEFAULT '0',
`name` varchar(50) DEFAULT NULL,
`controller` varchar(255) NOT NULL,
`method` varchar(255) NOT NULL,
`is_menu` tinyint(4) NOT NULL DEFAULT '1',
`is_enabled` tinyint(4) DEFAULT '1',
`sort` tinyint(4) NOT NULL DEFAULT '1',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8;
-- Dumping data for table ci.adm_acl: ~14 rows (approximately)
/*!40000 ALTER TABLE `adm_acl` DISABLE KEYS */;
INSERT INTO `adm_acl` (`id`, `parent_id`, `name`, `controller`, `method`, `is_menu`, `is_enabled`, `sort`) VALUES
(1, 0, 'admin', '', '', 1, 1, 1),
(2, 1, 'user', 'user', 'lists', 1, 1, 1),
(3, 2, 'add user', 'user', 'add', 0, 1, 1),
(4, 2, 'edit user', 'user', 'edit', 0, 1, 2),
(5, 1, 'group', 'group', 'lists', 1, 1, 2),
(6, 2, 'add group', 'group', 'add', 0, 1, 1),
(7, 2, 'edit group', 'group', 'edit', 0, 1, 2),
(8, 0, 'demo1', '', '', 1, 1, 2),
(9, 8, 'demo11', 'demo', 'demo11', 1, 1, 1),
(10, 8, 'demo12', 'demo', 'demo12', 1, 1, 2),
(11, 9, 'add demo11', 'demo', 'add11', 0, 1, 1),
(12, 9, 'edit demo11', 'demo', 'edit11', 0, 1, 2),
(13, 10, 'add demo12', 'demo', 'add12', 0, 1, 1),
(14, 10, 'edit demo12', 'demo', 'demo12', 0, 1, 2);
/*!40000 ALTER TABLE `adm_acl` ENABLE KEYS */;
-- Dumping structure for table ci.adm_group
CREATE TABLE IF NOT EXISTS `adm_group` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL,
`is_enabled` tinyint(4) NOT NULL DEFAULT '1',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
-- Dumping data for table ci.adm_group: ~2 rows (approximately)
/*!40000 ALTER TABLE `adm_group` DISABLE KEYS */;
INSERT INTO `adm_group` (`id`, `name`, `is_enabled`) VALUES
(1, 'admin', 1),
(2, 'testg1', 1);
/*!40000 ALTER TABLE `adm_group` ENABLE KEYS */;
-- Dumping structure for table ci.adm_group_acl
CREATE TABLE IF NOT EXISTS `adm_group_acl` (
`sn` bigint(20) NOT NULL AUTO_INCREMENT,
`group_id` bigint(20) NOT NULL,
`acl_id` bigint(20) NOT NULL,
`is_enabled` tinyint(4) NOT NULL DEFAULT '1',
PRIMARY KEY (`sn`),
UNIQUE KEY `aclgroupid_aclid` (`group_id`,`acl_id`)
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8;
-- Dumping data for table ci.adm_group_acl: ~14 rows (approximately)
/*!40000 ALTER TABLE `adm_group_acl` DISABLE KEYS */;
INSERT INTO `adm_group_acl` (`sn`, `group_id`, `acl_id`, `is_enabled`) VALUES
(1, 1, 1, 1),
(2, 1, 2, 1),
(3, 1, 3, 1),
(4, 1, 4, 1),
(5, 1, 5, 1),
(6, 1, 6, 1),
(7, 1, 7, 1),
(8, 1, 8, 1),
(9, 1, 9, 1),
(10, 1, 10, 1),
(11, 1, 11, 1),
(12, 1, 12, 1),
(13, 1, 13, 1),
(14, 1, 14, 1);
/*!40000 ALTER TABLE `adm_group_acl` ENABLE KEYS */;
-- Dumping structure for table ci.adm_user
CREATE TABLE IF NOT EXISTS `adm_user` (
`id` varchar(50) NOT NULL,
`password` varchar(100) NOT NULL,
`group_id` bigint(20) NOT NULL,
`is_enabled` tinyint(4) NOT NULL DEFAULT '1',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- Dumping data for table ci.adm_user: ~13 rows (approximately)
/*!40000 ALTER TABLE `adm_user` DISABLE KEYS */;
INSERT INTO `adm_user` (`id`, `password`, `group_id`, `is_enabled`) VALUES
('admin', <PASSWORD>', 1, 1),
('test1', '', 0, 1),
('test10', '', 0, 1),
('test2', '', 0, 1),
('test3', '', 0, 1),
('test4', '', 0, 1),
('test5', '', 0, 1),
('test6', '', 0, 1),
('test7', '', 0, 1),
('test8', '', 0, 1),
('test9', '', 0, 1);
/*!40000 ALTER TABLE `adm_user` ENABLE KEYS */;
-- Dumping structure for table ci.adm_user_acl
CREATE TABLE IF NOT EXISTS `adm_user_acl` (
`sn` bigint(20) NOT NULL AUTO_INCREMENT,
`userid` varchar(50) NOT NULL,
`acl_id` bigint(20) NOT NULL,
`is_enabled` tinyint(4) NOT NULL DEFAULT '1',
PRIMARY KEY (`sn`),
UNIQUE KEY `userid_aclsn` (`userid`,`acl_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- Dumping data for table ci.adm_user_acl: ~0 rows (approximately)
/*!40000 ALTER TABLE `adm_user_acl` DISABLE KEYS */;
/*!40000 ALTER TABLE `adm_user_acl` 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 */;
|
<reponame>Dynart/SistemaTaller.BackEnd
CREATE TABLE Reparaciones (
NumeroReparacion INT IDENTITY(1,1),
FechaEstimadaDeReparacion DATETIME DEFAULT GETDATE() + 5, --5 días de manera predeterminada
MontoManoDeObra DECIMAL(18,3),
MontoRepuestos DECIMAL(18,3),
MontoTotal AS MontoManoDeObra + MontoRepuestos,
CedulaMecanico VARCHAR(15) NOT NULL,
Matricula VARCHAR(9) NOT NULL,
IdEstadoReparacion INT NOT NULL,--TODO:Falta hacer la tabla de estados
Activo BIT DEFAULT(1) NOT NULL,
FechaCreacion DATETIME DEFAULT GETDATE() NOT NULL,
FechaModificacion DATETIME,
CreadoPor VARCHAR(60),
ModificadoPor VARCHAR(60),
CONSTRAINT PK_Reparaciones PRIMARY KEY (NumeroReparacion),
CONSTRAINT FK_Mecanicos FOREIGN KEY (CedulaMecanico) REFERENCES Mecanicos (CedulaMecanico),
CONSTRAINT FK_Vehiculos FOREIGN KEY (Matricula) REFERENCES Vehiculos (Matricula),
CONSTRAINT FK_EstadoReparaciones FOREIGN KEY (IdEstadoReparacion) REFERENCES EstadoReparaciones (IdEstadoReparacion)
)
GO
--Documentación de tablas y campos
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Reparaciones de vehículos de clientes',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones'
GO
----Documentación a campos
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Número consecutivo de reparaciones',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'NumeroReparacion'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Fecha estimada de entrega del vehículo reparado',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'FechaEstimadaDeReparacion'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Monto a cobrar por mano de obra',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'MontoManoDeObra'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Monto a cobrar por el repuesto',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'MontoRepuestos'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Monto total a cobrar de la reparación, incluye monto por mano de obra más monto por repuestos',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'MontoTotal'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Cédula del mecánico acargo de la reparación de un vehículo',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'CedulaMecanico'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Matrícula del vehículo por reparar',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'Matricula'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Estado de la reparación',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'IdEstadoReparacion'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Condición en la que se encuentra el registro: 1 = Activo; 0 = Inactivo o Borrado',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'Activo'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Fecha de creación del registro',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'FechaCreacion'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Fecha de modificación del registro',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'FechaModificacion'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Nombre del usuario que crea el registro',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'CreadoPor'
GO
EXEC sp_addextendedproperty
@name = N'MS_Description', @value = 'Nombre del usuario que modifica el registro',
@level0type = N'Schema', @level0name = 'dbo',
@level1type = N'Table', @level1name = 'Reparaciones',
@level2type = N'Column', @level2name = 'ModificadoPor' |
<filename>shape.sql
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INSERT INTO `shape` (`shape_id`, `shape_name`, `shape_img`) VALUES
(1, 'Shearwaters,petrers & Ganners', ''),
(2, 'Comorants and Pelicans', ''),
(3, 'Herons, Egrets & Storks', ''),
(4, 'Gees & Ducks', ''),
(5, 'Eagles & Hawks', ''),
(6, 'Quails and Fowls', ''),
(7, 'Rails', ''),
(8, 'Shore Birds', ''),
(9, 'pigeons', ''),
(10, 'Cuckoos', ''),
(11, 'Owls', ''),
(12, 'Swifts', ''),
(13, 'Barbets & woodpeckers', ''),
(14, 'Larks & Pipits', ''),
(15, 'Swallows', ''),
(16, 'Bullbuls & Orioles', ''),
(17, 'Warblers', ''),
(18, 'Thrushers, Babblers', ''),
(19, 'Sunbird & flowerpeakers', ''),
(20, 'Crows', ''),
(21, 'Small Brown Bird', '');
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CREATE TABLE IF NOT EXISTS `pagedata` (
`id` int(11) NOT NULL,
`title` varchar(255) NOT NULL,
`page` varchar(255) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `pagedata`
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INSERT INTO `pagedata` (`id`, `title`, `page`) VALUES
(1, 'home', 'this is home page'),
(2, 'about', 'this is about page');
-- --------------------------------------------------------
--
-- Table structure for table `temp_users`
--
CREATE TABLE IF NOT EXISTS `temp_users` (
`id` int(11) NOT NULL,
`email` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL,
`cpassword` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `users_reg`
--
CREATE TABLE IF NOT EXISTS `users_reg` (
`id` int(11) NOT NULL,
`f_name` varchar(255) NOT NULL,
`l_name` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL,
`image` varchar(255) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `users_reg`
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INSERT INTO `users_reg` (`id`, `f_name`, `l_name`, `email`, `password`, `image`) VALUES
(5, 'md.Saiful', 'is<PASSWORD>', '<EMAIL>', '12345', '22638583600f1e35d1.png');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `pagedata`
--
ALTER TABLE `pagedata`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `temp_users`
--
ALTER TABLE `temp_users`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users_reg`
--
ALTER TABLE `users_reg`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `pagedata`
--
ALTER TABLE `pagedata`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `temp_users`
--
ALTER TABLE `temp_users`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `users_reg`
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ALTER TABLE `users_reg`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=6;
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<reponame>thomijasir/oneelectric<filename>database.sql
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CREATE TABLE `smarte` (
`id` int(10) UNSIGNED NOT NULL,
`sensor` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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-- Dumping data for table `smarte`
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--
-- Indexes for dumped tables
--
--
-- Indexes for table `smarte`
--
ALTER TABLE `smarte`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `smarte`
--
ALTER TABLE `smarte`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=145;COMMIT;
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CREATE TABLE [dbo].[TransactionCategories] (
[Id] INT IDENTITY (1, 1) NOT NULL,
[Name] NCHAR (10) NOT NULL,
PRIMARY KEY CLUSTERED ([Id] ASC)
);
|
<filename>database/lekh6399_koperasi 10-03-2021.sql
-- phpMyAdmin SQL Dump
-- version 4.9.5
-- https://www.phpmyadmin.net/
--
-- Host: localhost:3306
-- Waktu pembuatan: 10 Mar 2021 pada 16.16
-- Versi server: 10.2.36-MariaDB-cll-lve
-- Versi PHP: 7.3.6
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `lekh6399_koperasi`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `failed_jobs`
--
CREATE TABLE `failed_jobs` (
`id` bigint(20) UNSIGNED NOT NULL,
`uuid` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
`queue` text COLLATE utf8mb4_unicode_ci NOT NULL,
`payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`failed_at` timestamp NOT NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Struktur dari tabel `main_settings`
--
CREATE TABLE `main_settings` (
`id` bigint(20) UNSIGNED NOT NULL,
`name_setting` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`value` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `main_settings`
--
INSERT INTO `main_settings` (`id`, `name_setting`, `value`) VALUES
(1, 'bunga', '2'),
(2, 'simpanan_pokok', '20000'),
(3, 'saldo', '952667');
-- --------------------------------------------------------
--
-- Struktur dari tabel `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 untuk tabel `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2014_10_12_100000_create_password_resets_table', 1),
(3, '2019_08_19_000000_create_failed_jobs_table', 1),
(4, '2019_12_14_000001_create_personal_access_tokens_table', 1),
(5, '2021_01_28_032915_create_user_levels_table', 1),
(6, '2021_01_28_034038_create_params_table', 1),
(7, '2021_01_28_034734_create_main_settings_table', 1),
(8, '2021_01_28_035655_create_user_koperasi_details_table', 1),
(9, '2021_01_28_040650_create_transactions_table', 1),
(10, '2021_01_28_041350_create_sub_transactions_table', 1),
(11, '2021_01_28_041959_create_pinjaman_table', 1),
(12, '2021_03_05_032028_create_vw_user_transaction_table', 1);
-- --------------------------------------------------------
--
-- Struktur dari tabel `params`
--
CREATE TABLE `params` (
`id` bigint(20) UNSIGNED NOT NULL,
`param_id` bigint(20) UNSIGNED DEFAULT NULL,
`category_param` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`param` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`order` int(11) NOT NULL,
`active` tinyint(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `params`
--
INSERT INTO `params` (`id`, `param_id`, `category_param`, `param`, `order`, `active`) VALUES
(1, NULL, 'pendidikan', 'SD', 1, 1),
(2, NULL, 'pendidikan', 'SMP', 2, 1),
(3, NULL, 'pendidikan', 'SLTA', 3, 1),
(4, NULL, 'pendidikan', 'D3', 4, 1),
(5, NULL, 'pendidikan', 'S1', 5, 1),
(6, NULL, 'pendidikan', 'S2', 6, 1),
(7, NULL, 'pendidikan', 'S3', 7, 1),
(8, NULL, 'jabatan', 'JAJARAN DIREKSI', 1, 1),
(9, NULL, 'jabatan', 'ADMIN HD (MANAGER OPS.)', 2, 1),
(10, NULL, 'jabatan', 'TEKNISI', 3, 1),
(11, NULL, 'jabatan', 'SALES / MARKETING', 4, 1),
(12, NULL, 'status_keluarga', 'Kepala Rumah Tangga', 1, 1),
(13, NULL, 'status_keluarga', 'Istri', 2, 1),
(14, NULL, 'status_keluarga', 'Anak', 1, 1),
(15, NULL, 'status_keluarga', 'Orang Tua', 1, 1);
-- --------------------------------------------------------
--
-- Struktur dari tabel `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;
-- --------------------------------------------------------
--
-- Struktur dari tabel `personal_access_tokens`
--
CREATE TABLE `personal_access_tokens` (
`id` bigint(20) UNSIGNED NOT NULL,
`tokenable_type` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`tokenable_id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(64) COLLATE utf8mb4_unicode_ci NOT NULL,
`abilities` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`last_used_at` timestamp NULL DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `personal_access_tokens`
--
INSERT INTO `personal_access_tokens` (`id`, `tokenable_type`, `tokenable_id`, `name`, `token`, `abilities`, `last_used_at`, `created_at`, `updated_at`) VALUES
(17, 'App\\Models\\User', 1, 'Win32', '6cd3f53858cc295f1860f59cae0c173f9596155add3508d20baafd3a009a1a0b', '[\"*\"]', '2021-03-10 02:10:33', '2021-03-10 00:13:35', '2021-03-10 02:10:33'),
(18, 'App\\Models\\User', 1, 'MacIntel', '50c06bf44f1f5b04b84d026ad34beeb306142901df99da334ab29414c9d3d5b4', '[\"*\"]', '2021-03-10 02:14:54', '2021-03-10 00:20:33', '2021-03-10 02:14:54'),
(19, 'App\\Models\\User', 1, 'MacIntel', '94fe56c3e699d53195dd661c61937d5cfe5cd9bd3ac433896fb4341643ae2e43', '[\"*\"]', '2021-03-10 02:16:00', '2021-03-10 00:36:39', '2021-03-10 02:16:00');
-- --------------------------------------------------------
--
-- Struktur dari tabel `pinjaman`
--
CREATE TABLE `pinjaman` (
`id` bigint(20) UNSIGNED NOT NULL,
`user_id` bigint(20) UNSIGNED NOT NULL,
`angsuran` bigint(20) DEFAULT NULL,
`besar_pinjaman` bigint(20) NOT NULL,
`tenor` int(11) DEFAULT NULL,
`total_bayar` bigint(20) DEFAULT NULL,
`sisa_bayar` bigint(20) DEFAULT NULL,
`status` enum('approved','rejected','pending','paid_off') COLLATE utf8mb4_unicode_ci NOT NULL,
`approved_date` timestamp NULL DEFAULT NULL,
`transaction_type` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`description` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`paid_off_date` timestamp NULL DEFAULT NULL,
`contract` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `pinjaman`
--
INSERT INTO `pinjaman` (`id`, `user_id`, `angsuran`, `besar_pinjaman`, `tenor`, `total_bayar`, `sisa_bayar`, `status`, `approved_date`, `transaction_type`, `description`, `paid_off_date`, `contract`, `created_at`, `updated_at`) VALUES
(1, 20, 516667, 5000000, 12, 5000000, 4166667, 'approved', '2021-01-29 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-01-29 10:00:00', NULL),
(2, 11, 569333, 3050000, 6, 3050000, 3050000, 'approved', '2021-02-04 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-02-04 10:00:00', NULL),
(3, 9, 120000, 1000000, 10, 1000000, 900000, 'approved', '2021-02-03 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-02-03 10:00:00', NULL),
(4, 33, 289333, 2800000, 12, 2800000, 2566667, 'approved', '2021-02-08 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-02-08 10:00:00', NULL),
(5, 34, 373333, 2000000, 6, 2000000, 1666667, 'approved', '2021-02-18 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-02-18 10:00:00', NULL),
(6, 12, 280000, 1500000, 6, 1500000, 1500000, 'approved', '2021-03-03 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-03-03 10:00:00', NULL),
(7, 35, 1027140, 1000000, 1, 1000000, 1000000, 'approved', '2021-03-07 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-03-07 10:00:00', NULL),
(8, 30, 353333, 1000000, 3, 1000000, 1000000, 'approved', '2021-03-07 10:00:00', 'pinjaman', NULL, NULL, NULL, '2021-03-07 10:00:00', NULL);
-- --------------------------------------------------------
--
-- Struktur dari tabel `sub_transactions`
--
CREATE TABLE `sub_transactions` (
`id` bigint(20) UNSIGNED NOT NULL,
`transaction_id` bigint(20) UNSIGNED NOT NULL,
`type` enum('simpanan_sukarela','simpanan_wajib','simpanan_pokok','tagihan_pinjaman','saldo_koperasi','min_saldo_koperasi') COLLATE utf8mb4_unicode_ci NOT NULL,
`besaran` bigint(20) 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 untuk tabel `sub_transactions`
--
INSERT INTO `sub_transactions` (`id`, `transaction_id`, `type`, `besaran`, `created_at`, `updated_at`) VALUES
(1, 1, 'simpanan_wajib', 50000, NULL, NULL),
(2, 1, 'simpanan_sukarela', 30000, NULL, NULL),
(3, 1, 'simpanan_pokok', 20000, NULL, NULL),
(4, 2, 'simpanan_wajib', 50000, NULL, NULL),
(5, 2, 'simpanan_sukarela', 30000, NULL, NULL),
(6, 2, 'simpanan_pokok', 20000, NULL, NULL),
(7, 3, 'simpanan_wajib', 50000, NULL, NULL),
(8, 3, 'simpanan_sukarela', 30000, NULL, NULL),
(9, 3, 'simpanan_pokok', 20000, NULL, NULL),
(10, 4, 'simpanan_wajib', 20000, NULL, NULL),
(11, 4, 'simpanan_sukarela', 10000, NULL, NULL),
(12, 4, 'simpanan_pokok', 20000, NULL, NULL),
(13, 5, 'simpanan_wajib', 50000, NULL, NULL),
(14, 5, 'simpanan_pokok', 20000, NULL, NULL),
(15, 6, 'simpanan_wajib', 20000, NULL, NULL),
(16, 6, 'simpanan_pokok', 20000, NULL, NULL),
(17, 6, 'simpanan_sukarela', 10000, NULL, NULL),
(18, 7, 'simpanan_wajib', 50000, NULL, NULL),
(19, 7, 'simpanan_pokok', 20000, NULL, NULL),
(20, 8, 'simpanan_wajib', 50000, NULL, NULL),
(21, 8, 'simpanan_pokok', 20000, NULL, NULL),
(22, 9, 'simpanan_wajib', 20000, NULL, NULL),
(23, 9, 'simpanan_pokok', 20000, NULL, NULL),
(24, 1, 'simpanan_pokok', 50000, NULL, NULL),
(25, 10, 'simpanan_sukarela', 30000, NULL, NULL),
(26, 10, 'simpanan_wajib', 20000, NULL, NULL),
(27, 11, 'simpanan_wajib', 20000, NULL, NULL),
(28, 11, 'simpanan_pokok', 20000, NULL, NULL),
(29, 12, 'simpanan_wajib', 50000, NULL, NULL),
(30, 12, 'simpanan_pokok', 20000, NULL, NULL),
(31, 12, 'simpanan_sukarela', 30000, NULL, NULL),
(32, 13, 'simpanan_wajib', 20000, NULL, NULL),
(33, 13, 'simpanan_pokok', 20000, NULL, NULL),
(34, 14, 'simpanan_wajib', 50000, NULL, NULL),
(35, 14, 'simpanan_pokok', 20000, NULL, NULL),
(36, 14, 'simpanan_sukarela', 20000, NULL, NULL),
(37, 15, 'simpanan_wajib', 20000, NULL, NULL),
(38, 15, 'simpanan_pokok', 20000, NULL, NULL),
(39, 15, 'simpanan_sukarela', 20000, NULL, NULL),
(40, 16, 'simpanan_wajib', 20000, NULL, NULL),
(41, 16, 'simpanan_pokok', 20000, NULL, NULL),
(42, 16, 'simpanan_sukarela', 110000, NULL, NULL),
(43, 17, 'simpanan_wajib', 20000, NULL, NULL),
(44, 17, 'simpanan_pokok', 20000, NULL, NULL),
(45, 17, 'simpanan_sukarela', 10000, NULL, NULL),
(46, 18, 'simpanan_wajib', 20000, NULL, NULL),
(47, 18, 'simpanan_pokok', 20000, NULL, NULL),
(48, 18, 'simpanan_sukarela', 10000, NULL, NULL),
(49, 19, 'simpanan_wajib', 20000, NULL, NULL),
(50, 19, 'simpanan_pokok', 20000, NULL, NULL),
(51, 19, 'simpanan_sukarela', 10000, NULL, NULL),
(52, 20, 'simpanan_sukarela', 60000, NULL, NULL),
(53, 21, 'simpanan_wajib', 50000, NULL, NULL),
(54, 21, 'simpanan_pokok', 20000, NULL, NULL),
(55, 21, 'simpanan_sukarela', 50000, NULL, NULL),
(56, 22, 'saldo_koperasi', 5000000, NULL, NULL),
(57, 23, 'simpanan_wajib', 20000, NULL, NULL),
(58, 23, 'simpanan_pokok', 20000, NULL, NULL),
(59, 24, 'simpanan_wajib', 50000, NULL, NULL),
(60, 24, 'simpanan_sukarela', 50000, NULL, NULL),
(61, 25, 'simpanan_wajib', 20000, NULL, NULL),
(62, 25, 'simpanan_sukarela', 33333, NULL, NULL),
(63, 88, 'tagihan_pinjaman', 516667, NULL, NULL),
(64, 26, 'simpanan_wajib', 100000, NULL, NULL),
(65, 26, 'simpanan_sukarela', 30000, NULL, NULL),
(66, 26, 'simpanan_pokok', 20000, NULL, NULL),
(67, 27, 'simpanan_wajib', 100000, NULL, NULL),
(68, 27, 'simpanan_sukarela', 80000, NULL, NULL),
(69, 27, 'simpanan_pokok', 20000, NULL, NULL),
(70, 28, 'simpanan_wajib', 100000, NULL, NULL),
(71, 29, 'simpanan_wajib', 100000, NULL, NULL),
(72, 30, 'simpanan_wajib', 50000, NULL, NULL),
(73, 30, 'simpanan_sukarela', 100000, NULL, NULL),
(74, 31, 'simpanan_wajib', 50000, NULL, NULL),
(75, 31, 'simpanan_sukarela', 50000, NULL, NULL),
(76, 31, 'simpanan_pokok', 20000, NULL, NULL),
(77, 32, 'simpanan_sukarela', 50000, NULL, NULL),
(78, 33, 'simpanan_wajib', 50000, NULL, NULL),
(79, 33, 'simpanan_sukarela', 50000, NULL, NULL),
(80, 33, 'simpanan_pokok', 20000, NULL, NULL),
(81, 34, 'simpanan_wajib', 50000, NULL, NULL),
(82, 35, 'simpanan_wajib', 100000, NULL, NULL),
(83, 35, 'simpanan_sukarela', 20000, NULL, NULL),
(84, 35, 'simpanan_pokok', 20000, NULL, NULL),
(85, 36, 'simpanan_wajib', 100000, NULL, NULL),
(86, 37, 'simpanan_wajib', 50000, NULL, NULL),
(87, 38, 'simpanan_wajib', 50000, NULL, NULL),
(88, 39, 'simpanan_wajib', 50000, NULL, NULL),
(89, 40, 'simpanan_wajib', 50000, NULL, NULL),
(90, 40, 'simpanan_sukarela', 30000, NULL, NULL),
(91, 40, 'simpanan_pokok', 20000, NULL, NULL),
(92, 41, 'simpanan_wajib', 50000, NULL, NULL),
(93, 41, 'simpanan_sukarela', 50000, NULL, NULL),
(94, 41, 'simpanan_pokok', 20000, NULL, NULL),
(95, 42, 'simpanan_wajib', 20000, NULL, NULL),
(96, 42, 'simpanan_sukarela', 30000, NULL, NULL),
(97, 42, 'simpanan_pokok', 20000, NULL, NULL),
(98, 43, 'simpanan_wajib', 20000, NULL, NULL),
(99, 43, 'simpanan_sukarela', 20000, NULL, NULL),
(100, 43, 'simpanan_pokok', 20000, NULL, NULL),
(101, 44, 'simpanan_wajib', 20000, NULL, NULL),
(102, 44, 'simpanan_sukarela', 80000, NULL, NULL),
(103, 45, 'simpanan_wajib', 50000, NULL, NULL),
(104, 45, 'simpanan_sukarela', 100000, NULL, NULL),
(105, 46, 'saldo_koperasi', 2550000, NULL, NULL),
(106, 47, 'simpanan_wajib', 20000, NULL, NULL),
(107, 47, 'simpanan_sukarela', 10000, NULL, NULL),
(108, 89, 'tagihan_pinjaman', 120000, NULL, NULL),
(109, 48, 'saldo_koperasi', 2800000, NULL, NULL),
(110, 49, 'simpanan_wajib', 20000, NULL, NULL),
(111, 50, 'simpanan_wajib', 50000, NULL, NULL),
(112, 50, 'simpanan_pokok', 20000, NULL, NULL),
(113, 51, 'simpanan_wajib', 20000, NULL, NULL),
(114, 52, 'simpanan_wajib', 20000, NULL, NULL),
(115, 53, 'simpanan_wajib', 100000, NULL, NULL),
(116, 53, 'simpanan_sukarela', 10000, NULL, NULL),
(117, 53, 'simpanan_pokok', 20000, NULL, NULL),
(118, 54, 'simpanan_wajib', 20000, NULL, NULL),
(119, 54, 'simpanan_sukarela', 60000, NULL, NULL),
(120, 54, 'simpanan_pokok', 20000, NULL, NULL),
(121, 55, 'simpanan_wajib', 50000, NULL, NULL),
(122, 55, 'simpanan_sukarela', 20000, NULL, NULL),
(123, 56, 'simpanan_wajib', 50000, NULL, NULL),
(124, 57, 'simpanan_wajib', 50000, NULL, NULL),
(125, 58, 'simpanan_wajib', 100000, NULL, NULL),
(126, 59, 'simpanan_wajib', 50000, NULL, NULL),
(127, 60, 'simpanan_wajib', 20000, NULL, NULL),
(128, 60, 'simpanan_sukarela', 33333, NULL, NULL),
(129, 90, 'tagihan_pinjaman', 516667, NULL, NULL),
(130, 61, 'simpanan_wajib', 20000, NULL, NULL),
(131, 62, 'simpanan_wajib', 50000, NULL, NULL),
(132, 63, 'simpanan_wajib', 20000, NULL, NULL),
(133, 64, 'simpanan_wajib', 20000, NULL, NULL),
(134, 65, 'simpanan_wajib', 50000, NULL, NULL),
(135, 65, 'simpanan_sukarela', 100000, NULL, NULL),
(136, 66, 'simpanan_wajib', 50000, NULL, NULL),
(137, 67, 'simpanan_wajib', 50000, NULL, NULL),
(138, 67, 'simpanan_sukarela', 100000, NULL, NULL),
(139, 68, 'simpanan_wajib', 50000, NULL, NULL),
(140, 69, 'simpanan_wajib', 50000, NULL, NULL),
(141, 70, 'simpanan_wajib', 20000, NULL, NULL),
(142, 71, 'simpanan_wajib', 20000, NULL, NULL),
(143, 72, 'simpanan_wajib', 50000, NULL, NULL),
(144, 73, 'simpanan_wajib', 50000, NULL, NULL),
(145, 74, 'simpanan_wajib', 20000, NULL, NULL),
(146, 75, 'simpanan_wajib', 20000, NULL, NULL),
(147, 76, 'simpanan_wajib', 20000, NULL, NULL),
(148, 76, 'simpanan_sukarela', 30000, NULL, NULL),
(149, 91, 'tagihan_pinjaman', 120000, NULL, NULL),
(150, 77, 'simpanan_wajib', 20000, NULL, NULL),
(151, 78, 'simpanan_wajib', 50000, NULL, NULL),
(152, 79, 'simpanan_wajib', 50000, NULL, NULL),
(153, 80, 'simpanan_wajib', 20000, NULL, NULL),
(154, 81, 'simpanan_wajib', 20000, NULL, NULL),
(155, 82, 'simpanan_wajib', 50000, NULL, NULL),
(156, 92, 'tagihan_pinjaman', 289333, NULL, NULL),
(157, 83, 'simpanan_wajib', 50000, NULL, NULL),
(158, 93, 'tagihan_pinjaman', 373333, NULL, NULL),
(159, 84, 'simpanan_wajib', 100000, NULL, NULL),
(160, 85, 'simpanan_wajib', 100000, NULL, NULL),
(161, 86, 'simpanan_wajib', 50000, NULL, NULL),
(162, 86, 'simpanan_sukarela', 20000, NULL, NULL),
(163, 86, 'simpanan_pokok', 20000, NULL, NULL),
(164, 87, 'simpanan_wajib', 100000, NULL, NULL),
(165, 87, 'simpanan_sukarela', 30000, NULL, NULL);
-- --------------------------------------------------------
--
-- Struktur dari tabel `transactions`
--
CREATE TABLE `transactions` (
`id` bigint(20) UNSIGNED NOT NULL,
`user_id` bigint(20) UNSIGNED NOT NULL,
`pinjaman_id` bigint(20) UNSIGNED DEFAULT NULL,
`title` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`message` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`type` enum('simpanan','pinjaman','saldo_koperasi','min_saldo_koperasi') COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT 'simpanan',
`bukti_pembayaran` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`approved_date` timestamp NULL DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `transactions`
--
INSERT INTO `transactions` (`id`, `user_id`, `pinjaman_id`, `title`, `message`, `type`, `bukti_pembayaran`, `approved_date`, `created_at`, `updated_at`) VALUES
(1, 12, NULL, 'invoice', '-', 'simpanan', 'image_lunas.png', '2021-01-12 10:00:01', '2021-01-12 10:00:00', NULL),
(2, 11, NULL, 'invoice', '-', 'simpanan', 'image_lunas.png', '2021-01-12 10:00:02', '2021-01-12 10:00:00', NULL),
(3, 30, NULL, 'invoice', '-', 'simpanan', 'image_lunas.png', '2021-01-12 10:00:03', '2021-01-12 10:00:00', NULL),
(4, 20, NULL, 'invoice', '-', 'simpanan', 'image_lunas.png', '2021-01-12 10:00:04', '2021-01-12 10:00:00', NULL),
(5, 13, NULL, 'invoice', '-', 'simpanan', 'image_lunas.png', '2021-01-14 10:00:00', '2021-01-14 10:00:00', NULL),
(6, 3, NULL, 'invoice', '-', 'simpanan', 'image_lunas.png', '2021-01-15 10:00:00', '2021-01-15 10:00:00', NULL),
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(88, 20, 1, 'invoice pinjaman', '-', 'pinjaman', 'image_lunas.png', '2021-02-03 17:00:00', '2021-02-03 17:00:00', NULL),
(89, 9, 3, 'invoice pinjaman', '-', 'pinjaman', 'image_lunas.png', '2021-02-04 17:00:00', '2021-02-04 17:00:00', NULL),
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(91, 9, 3, 'invoice pinjaman', '-', 'pinjaman', 'image_lunas.png', '2021-03-02 17:00:00', '2021-03-02 17:00:00', NULL),
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-- --------------------------------------------------------
--
-- Struktur dari tabel `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`code` bigint(20) UNSIGNED NOT NULL,
`username` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`no_id` bigint(20) NOT NULL,
`jenis_kelamin` enum('laki-laki','perempuan') COLLATE utf8mb4_unicode_ci NOT NULL,
`tempat_lahir` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`tanggal_lahir` date NOT NULL,
`alamat` text COLLATE utf8mb4_unicode_ci NOT NULL,
`no_telp` bigint(20) NOT NULL,
`pendidikan_id` bigint(20) UNSIGNED NOT NULL,
`jabatan_id` bigint(20) UNSIGNED NOT NULL,
`user_level_id` bigint(20) UNSIGNED NOT NULL,
`profile` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`active` tinyint(1) NOT NULL DEFAULT 1,
`password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `users`
--
INSERT INTO `users` (`id`, `code`, `username`, `name`, `email`, `email_verified_at`, `no_id`, `jenis_kelamin`, `tempat_lahir`, `tanggal_lahir`, `alamat`, `no_telp`, `pendidikan_id`, `jabatan_id`, `user_level_id`, `profile`, `active`, `password`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 2020010000, 'admin', 'Admin', '<EMAIL>', '2021-03-09 02:06:57', 1111111111111111, 'laki-laki', 'jakarta', '2000-03-24', '-', 89657341120, 4, 9, 1, NULL, 1, '$2y$10$IjXr29gHEAXkQmyo81XbPu5/ZUrtvGJ2gj75Q8PCvaDTZg99oVOIm', 'FRj2qScz6r', NULL, NULL),
(3, 2020010007, 'adit', '<NAME>', '<EMAIL>', NULL, 3276021604960014, 'laki-laki', 'Bogor', '1996-04-16', 'Jalan Kemang Dalam II No 36 RT 02 RW 02 No 36, Sukatani, Tapos, Depok', 81210294688, 5, 9, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 00:15:37'),
(4, 2020010030, 'muzaeni', '<NAME>', '<EMAIL>', NULL, 3171011606820001, 'laki-laki', 'JAKARTA', '1982-06-16', 'JL.KEBON JAHE 7 NO.17 RT.02 RW.12', 81384342747, 4, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 00:18:43'),
(5, 2020010014, 'syaiful', '<NAME>', '<EMAIL>', NULL, 3174082403000005, 'laki-laki', 'Jakarta', '2000-03-24', 'Citayam Kp.Kelapa desa rawa panjang rt05/20 No.83', 89657341120, 5, 9, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 00:19:06'),
(6, 2020010031, 'nurul', '<NAME>', '<EMAIL>', NULL, 3201135208890002, 'perempuan', 'Bogor', '1989-08-12', 'Kp. Bambon RT 01/07 No. 36 Ragajaya Bojong gede kab. Bogor 16920', 81315625933, 5, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:49:10'),
(7, 2020010016, 'syahputra', '<NAME>', '<EMAIL>', NULL, 1274012205870002, 'laki-laki', 'Medan / tanjung balai', '1987-05-22', 'Jalan raya setu cileungsi', 81389211122, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:51:19'),
(8, 2020010027, 'sulaeman', 'Dede sulaeman', '<EMAIL>', NULL, 3201031002830010, 'laki-laki', 'Bogor 10-02-1983', '1983-10-02', 'Kp sanja rt 005/001', 8991023373, 2, 10, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:53:38'),
(9, 2020010018, 'lestari', '<NAME>', '<EMAIL>', NULL, 3603126912810006, 'perempuan', 'Magetan', '1981-12-29', 'Jln. Raya sabililah kp. Dukuh ds pasir mukti citeureup bogor', 81283648369, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:54:44'),
(10, 2020010025, 'donny', '<NAME>', '<EMAIL>', NULL, 3276020303960003, 'laki-laki', 'BOGOR', '1996-03-03', 'Jl kampung Cilangkap rt01rw03', 89699234328, 2, 10, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:55:31'),
(11, 2020010003, 'elya', '<NAME>', '<EMAIL>', NULL, 3201135010760012, 'perempuan', 'Jakarta', '1976-10-10', 'Kp sawah rt 1/8 no 55 bojong gede kab bogor', 81381010521, 4, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:57:27'),
(12, 2020010002, 'suryanih', '<NAME>', '<EMAIL>', NULL, 3201134206760004, 'perempuan', 'Bogor', '1976-06-02', 'Kp sawah rt 01 RW 08,Bojonggede Bogor.', 85213776566, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:58:40'),
(13, 2020010006, 'ginda', '<NAME>', '<EMAIL>', NULL, 3201036109940001, 'laki-laki', 'Medan', '1997-10-05', 'DS.leuwinutug rt02/02 kec.citereup kab.bogor', 82114892569, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:00:48'),
(14, 2020010023, 'lukas', 'LUK<NAME> TALU', '<EMAIL>', NULL, 3217061605750013, 'laki-laki', 'WAIKABUBAK', '1975-05-16', 'Cidahu Regency No 12 A', 81322708599, 1, 8, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:59:26'),
(15, 2020010026, 'sutrisno', '<NAME>', '<EMAIL>', NULL, 3276102607970003, 'laki-laki', 'BAN<NAME>', '1997-07-26', 'KP. CIMPAEUN RT01/RW13, KEL.CIMPAEUN, KEC. TAPOS KOTA DEPOK', 81380466123, 3, 10, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:01:50'),
(16, 2020010013, 'yuliantini', '<NAME>', '<EMAIL>', NULL, 3201285007930003, 'perempuan', 'Bogor', '1993-07-10', 'Kp.cijeruk rt 03/rw 03', 81210784797, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:47:09'),
(17, 2020010021, 'hilmi', '<NAME>', '<EMAIL>', NULL, 3173040410001001, 'laki-laki', 'Jakarta', '2000-10-04', 'P<NAME> Sentosa C6/25', 81911147742, 5, 9, 101, NULL, 1, '$2y$10$ZNyCLxjFIiKkTKo2Pi233eGeJEv2nGsZ2nIOu5FMPfW297bsEOhqu', NULL, NULL, '2021-03-10 00:33:10'),
(18, 2020010010, 'suwartinah', '<NAME>', 'ret<EMAIL>', NULL, 1803095906950002, 'perempuan', 'Kotabumi', '1995-06-19', 'Jalam pemuda, Kampung Bojong Jati, RT/RW 002/016, Kel.Depok, kec.pancoran mas, Depok', 81384404626, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:02:55'),
(19, 2020010011, 'rivan', '<NAME>', '<EMAIL>', NULL, 3201010710920001, 'laki-laki', 'Bogor', '1992-10-07', 'Kp. Nanggewer Mekar RT 05 RW 02', 82129144502, 5, 9, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:05:03'),
(20, 2020010005, 'robertus', '<NAME>', '<EMAIL>', NULL, 3201042203930002, 'laki-laki', 'Bogor', '1993-03-22', 'Kp Sidamukti RT 003/01 no 6 Sukamaju Cilodong Depok', 82116172693, 3, 9, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:04:44'),
(21, 2020010024, 'rosalina', '<NAME>', '<EMAIL>', NULL, 3217064504760018, 'perempuan', 'Bandung', '1976-04-05', 'Cidahu Regency No 12 A', 81224898382, 6, 8, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:02:58'),
(22, 2020010019, 'henry', '<NAME>', '<EMAIL>', NULL, 3276051706860006, 'laki-laki', 'Depok', '1987-06-17', 'Puri Bukit Depok blok P6/17. Sasak panjang, Tajurhalang. Kabupaten Bogor', 82111313665, 5, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:50:34'),
(23, 2020010009, 'sawalludin', 'S<NAME>', '<EMAIL>', NULL, 3201312907020003, 'laki-laki', 'Bogor', '2002-07-29', 'Jl ciapus gg purnama rt01 rw02 desa sukamantri kecamatan tamansari Kabupaten bogor', 85156474429, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:05:54'),
(24, 2020010012, 'shella', 'Shella fadillah s', '<EMAIL>', NULL, 3276056701880009, 'perempuan', 'Jakarta', '1988-01-27', 'Jl proklamasi raya blok 9 no 3 depok 2 tengah 16411', 81210706588, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:05:33'),
(25, 2020010028, 'kuwarti', 'Sri kuwarti sulis tyo utami', '<EMAIL>', NULL, 3174025905810001, 'perempuan', 'Jakarta', '1981-05-19', 'Kp parung belimbing rt2/17 kel depok kec pancoran mas kota depok', 81284102544, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:10:44'),
(26, 2020010008, 'syahril', '<NAME>', '<EMAIL>', NULL, 3201311810920001, 'laki-laki', 'BOGOR', '1992-10-18', 'BOGOR,KP CIMANGGLID RT 01 RW 02 KECAMATAN TAMANSARI (CIAPUS)', 82279775864, 3, 10, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:01:25'),
(27, 2020010020, 'theresia', '<NAME>', '<EMAIL>', NULL, 3276104304820003, 'perempuan', 'palembang', '1982-03-04', 'griya telaga permai, blok e2 no.5, jalan raya bogor km.40,7 cilangkap, tapos, depok', 81314555975, 5, 8, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:51:22'),
(28, 2020010029, 'wahyudin', 'WAHYUDIN', '<EMAIL>', NULL, 3201131604770005, 'laki-laki', 'BOGOR', '1977-04-16', 'Kp.kelapa rt.03/18 rawa panjang kec.bojonggede', 81283843300, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:11:22'),
(29, 2020010015, 'wildan', '<NAME>', '<EMAIL>', NULL, 3174090308990004, 'laki-laki', 'DEPOK', '1999-08-03', 'Perum. Puri Bukit Depok blok O10/7 RT 15/10 Sasakpanjang Tajur halang, Kab. Bogor', 89521752015, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:49:52'),
(30, 2020010004, 'yusuf', '<NAME>', '<EMAIL>', NULL, 3276100907840002, 'laki-laki', 'Garut', '1984-07-09', 'Kp jatijajar no.17 rt. 08/01 jatijajar tapos depok', 82111883424, 4, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:11:49'),
(31, 2020010017, 'zuhriyanti', 'Zuhriyanti', '<EMAIL>', NULL, 3175094507720028, 'perempuan', 'Jakarta', '1972-07-05', 'Jln. Masjid fathul ghofur gg. TijahRt 03/04 no. 58 cibubur ciracas jaktim', 81310753406, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:12:21'),
(32, 2020010035, 'arni', '<NAME>', '<EMAIL>', NULL, 3201376805000002, 'perempuan', 'Jakarta', '2000-05-28', 'Perumahan Puri bukit Depok blok t5 no 13 sasakpanjang Tajurhalang kab Bogor', 81211096027, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:02:05'),
(33, 2020010032, 'saprudin', '<NAME>', '<EMAIL>', NULL, 3276020803860009, 'laki-laki', 'Bogor', '1986-03-08', 'Cilangkap kp nyencle rt 03/12 kec tapos kota depok', 81219470688, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:14:42'),
(34, 2020010033, 'rifki', '<NAME>', '<EMAIL>', NULL, 3171071307840006, 'laki-laki', 'Jakarta', '1984-07-13', 'JL.SABENI RAYA NO.10 RT012/12 KEBON MELATI TANAH ABANG JAKARTA PUSAT', 87786436495, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:13:00'),
(35, 2020010036, 'dian_kusuma', '<NAME>', '<EMAIL>', NULL, 3521091106910004, 'laki-laki', 'TUBAN', '1991-06-11', 'Jl tanah tinggi gang moh ali 1 no 9 rt 08 rw 03 tanah tinggi johar baru jakarta pusat', 85890377190, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 01:56:21'),
(36, 2020010034, 'rustam', '<NAME>', '<EMAIL>', NULL, 3276021807820011, 'laki-laki', 'BOGOR', '1982-07-18', 'Kp.kelapa dua GG belimbing 3 RT 04/09 no.57 Kel Tugu kec Cimanggis Depok', 81318158939, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, '2021-03-10 02:05:23'),
(37, 2020010037, 'dimas', '<NAME>', '<EMAIL>', NULL, 1111111111111119, 'laki-laki', 'Bogor', '1982-07-18', 'alamat', 33333333333, 3, 11, 101, NULL, 1, '$2y$10$nh7XJYsv2cQmbkTMxnmuP.SaEsFtHGQpjYR2E7iCnubU.yiU4uNMW', NULL, NULL, NULL);
-- --------------------------------------------------------
--
-- Struktur dari tabel `user_koperasi_details`
--
CREATE TABLE `user_koperasi_details` (
`id` bigint(20) UNSIGNED NOT NULL,
`user_id` bigint(20) UNSIGNED NOT NULL,
`status_keluarga_id` bigint(20) UNSIGNED NOT NULL,
`nama_ahliwaris` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`besar_simpanan_wajib` bigint(20) NOT NULL,
`upload_ktp` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`saldo_simpanan` bigint(20) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `user_koperasi_details`
--
INSERT INTO `user_koperasi_details` (`id`, `user_id`, `status_keluarga_id`, `nama_ahliwaris`, `besar_simpanan_wajib`, `upload_ktp`, `saldo_simpanan`) VALUES
(1, 1, 12, 'juminto', 20000, 'ktp.jpg', 0),
(3, 3, 14, 'Orang Tua', 20000, 'IMG_20200414_223325 - Aditya Bayu Irawan.jpg', 70000),
(4, 4, 12, '<NAME>, <NAME>, <NAME>', 20000, 'IMG_20210114_153702 - Ghassani Hamizah Ahmad.jpg', 70000),
(5, 5, 14, 'Juminto', 20000, 'KTP - Ahmad Syaiful Akbar.jpg', 60000),
(6, 6, 13, '<NAME>', 20000, 'photo_2021-03-10_15-42-57.jpg', 60000),
(7, 7, 12, '<NAME>', 20000, 'photo_2021-03-10_15-44-39.jpg', 60000),
(8, 8, 12, '<NAME>', 50000, 'photo_2021-03-10_15-44-04.jpg', 200000),
(9, 9, 13, '<NAME>', 20000, 'photo_2021-03-10_15-45-43.jpg', 110000),
(10, 10, 12, 'Srinuraini', 50000, 'photo_2021-03-10_15-45-35.jpg', 200000),
(11, 11, 13, '<NAME>', 50000, 'photo_2021-03-10_15-45-10.jpg', 280000),
(12, 12, 12, '<NAME>', 50000, 'photo_2021-03-10_15-44-22.jpg', 300000),
(13, 13, 14, '<NAME>', 50000, 'photo_2021-03-10_15-45-02.jpg', 200000),
(14, 14, 12, '<NAME>', 100000, 'ktp lukas.jpg', 330000),
(15, 15, 12, '<NAME>', 100000, 'photo_2021-03-10_15-45-06.jpg', 320000),
(16, 16, 13, '<NAME>', 50000, '1610677507523-473002419 - Nina Yuliantini.jpg', 130000),
(17, 17, 14, '<NAME>', 20000, 'KTP.jpg', 60000),
(18, 18, 13, '<NAME>', 20000, 'photo_2021-03-10_15-44-57.jpg', 140000),
(19, 19, 12, '<NAME>', 50000, 'photo_2021-01-14_17-19-26 - Rivan L.jpg', 180000),
(20, 20, 14, '<NAME> <NAME>', 20000, 'photo_2021-03-10_15-44-42.jpg', 136667),
(21, 21, 13, '<NAME>', 100000, 'ktp rosalina.jpg', 380000),
(22, 22, 12, '<NAME>', 20000, 'IMG_20200703_143720_718 - Ryan HS.jpg', 50000),
(23, 23, 14, '<NAME>', 50000, 'photo_2021-03-10_15-41-05.jpg', 150000),
(24, 24, 12, '<NAME>', 20000, 'IMG_20201103_103840_536 - shella fadillah.jpg', 100000),
(25, 25, 13, '<NAME>', 50000, 'photo_2021-03-10_15-45-40.jpg', 130000),
(26, 26, 12, 'ROCHMANIA', 50000, 'IMG_20210113_163231_897 - Syahril Pulungan.jpg', 150000),
(27, 27, 12, '<NAME>, <NAME>', 50000, 'ktp meta nu life - Theresia Metania.jpg', 100000),
(28, 28, 12, '<NAME>', 50000, 'photo_2021-03-10_15-45-22.jpg', 150000),
(29, 29, 14, '-', 50000, '0001 - wildan ghani.jpg', 120000),
(30, 30, 12, 'Anjaryani', 50000, 'photo_2021-03-10_15-45-30.jpg', 380000),
(31, 31, 12, '<NAME>', 20000, 'photo_2021-03-10_15-44-07.jpg', 150000),
(32, 32, 14, '<NAME>', 20000, 'IMG-20191125-WA0016 - Arniii Pusporini.jpg', 80000),
(33, 33, 12, 'Hasbi', 50000, 'photo_2021-03-10_15-44-29.jpg', 50000),
(34, 34, 12, '<NAME>', 50000, 'photo_2021-03-10_15-44-54.jpg', 100000),
(35, 35, 12, '<NAME>', 50000, 'Screenshot_2021-02-27-21-00-27-289_com.google.android.apps.photos - Rizki Ganteng.jpg', 70000),
(36, 36, 14, 'RUSTAM', 100000, 'photo_2021-03-10_15-44-11.jpg', 240000),
(37, 37, 14, 'DIMAS', 20000, '-', 30000);
-- --------------------------------------------------------
--
-- Struktur dari tabel `user_levels`
--
CREATE TABLE `user_levels` (
`id` bigint(20) UNSIGNED NOT NULL,
`level` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data untuk tabel `user_levels`
--
INSERT INTO `user_levels` (`id`, `level`) VALUES
(1, 'super admin'),
(100, 'admin'),
(101, 'member');
-- --------------------------------------------------------
--
-- Stand-in struktur untuk tampilan `vw_user_transaction`
-- (Lihat di bawah untuk tampilan aktual)
--
CREATE TABLE `vw_user_transaction` (
`user_id` bigint(20) unsigned
,`code` bigint(20) unsigned
,`transactions_id` bigint(20) unsigned
,`pinjaman_id` bigint(20) unsigned
,`type_transaction` enum('simpanan','pinjaman','saldo_koperasi','min_saldo_koperasi')
,`transaction_approved_date` timestamp
,`transaction_created_at` timestamp
,`sub_transactions_id` bigint(20) unsigned
,`type_sub_transaction` enum('simpanan_sukarela','simpanan_wajib','simpanan_pokok','tagihan_pinjaman','saldo_koperasi','min_saldo_koperasi')
,`besaran` bigint(20)
);
-- --------------------------------------------------------
--
-- Struktur untuk view `vw_user_transaction`
--
DROP TABLE IF EXISTS `vw_user_transaction`;
CREATE ALGORITHM=UNDEFINED DEFINER=`lekh6399_koperasi`@`localhost` SQL SECURITY DEFINER VIEW `vw_user_transaction` AS select `a`.`id` AS `user_id`,`a`.`code` AS `code`,`b`.`id` AS `transactions_id`,`b`.`pinjaman_id` AS `pinjaman_id`,`b`.`type` AS `type_transaction`,`b`.`approved_date` AS `transaction_approved_date`,`b`.`created_at` AS `transaction_created_at`,`c`.`id` AS `sub_transactions_id`,`c`.`type` AS `type_sub_transaction`,`c`.`besaran` AS `besaran` from (`sub_transactions` `c` left join (`transactions` `b` left join `users` `a` on(`a`.`id` = `b`.`user_id`)) on(`b`.`id` = `c`.`transaction_id`)) ;
--
-- Indexes for dumped tables
--
--
-- Indeks untuk tabel `failed_jobs`
--
ALTER TABLE `failed_jobs`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `failed_jobs_uuid_unique` (`uuid`);
--
-- Indeks untuk tabel `main_settings`
--
ALTER TABLE `main_settings`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `params`
--
ALTER TABLE `params`
ADD PRIMARY KEY (`id`);
--
-- Indeks untuk tabel `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Indeks untuk tabel `personal_access_tokens`
--
ALTER TABLE `personal_access_tokens`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `personal_access_tokens_token_unique` (`token`),
ADD KEY `personal_access_tokens_tokenable_type_tokenable_id_index` (`tokenable_type`,`tokenable_id`);
--
-- Indeks untuk tabel `pinjaman`
--
ALTER TABLE `pinjaman`
ADD PRIMARY KEY (`id`),
ADD KEY `pinjaman_user_id_foreign` (`user_id`);
--
-- Indeks untuk tabel `sub_transactions`
--
ALTER TABLE `sub_transactions`
ADD PRIMARY KEY (`id`),
ADD KEY `sub_transactions_transaction_id_foreign` (`transaction_id`);
--
-- Indeks untuk tabel `transactions`
--
ALTER TABLE `transactions`
ADD PRIMARY KEY (`id`),
ADD KEY `transactions_user_id_foreign` (`user_id`),
ADD KEY `transactions_pinjaman_id_foreign` (`pinjaman_id`);
--
-- Indeks untuk tabel `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_code_unique` (`code`),
ADD UNIQUE KEY `users_username_unique` (`username`),
ADD UNIQUE KEY `users_email_unique` (`email`),
ADD UNIQUE KEY `users_no_id_unique` (`no_id`),
ADD KEY `users_user_level_id_foreign` (`user_level_id`),
ADD KEY `users_pendidikan_id_foreign` (`pendidikan_id`),
ADD KEY `users_jabatan_id_foreign` (`jabatan_id`);
--
-- Indeks untuk tabel `user_koperasi_details`
--
ALTER TABLE `user_koperasi_details`
ADD PRIMARY KEY (`id`),
ADD KEY `user_koperasi_details_user_id_foreign` (`user_id`),
ADD KEY `user_koperasi_details_status_keluarga_id_foreign` (`status_keluarga_id`);
--
-- Indeks untuk tabel `user_levels`
--
ALTER TABLE `user_levels`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT untuk tabel yang dibuang
--
--
-- AUTO_INCREMENT untuk tabel `failed_jobs`
--
ALTER TABLE `failed_jobs`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `main_settings`
--
ALTER TABLE `main_settings`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT untuk tabel `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT untuk tabel `params`
--
ALTER TABLE `params`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=16;
--
-- AUTO_INCREMENT untuk tabel `personal_access_tokens`
--
ALTER TABLE `personal_access_tokens`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=20;
--
-- AUTO_INCREMENT untuk tabel `pinjaman`
--
ALTER TABLE `pinjaman`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT untuk tabel `sub_transactions`
--
ALTER TABLE `sub_transactions`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=166;
--
-- AUTO_INCREMENT untuk tabel `transactions`
--
ALTER TABLE `transactions`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=94;
--
-- AUTO_INCREMENT untuk tabel `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=38;
--
-- AUTO_INCREMENT untuk tabel `user_koperasi_details`
--
ALTER TABLE `user_koperasi_details`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=38;
--
-- AUTO_INCREMENT untuk tabel `user_levels`
--
ALTER TABLE `user_levels`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=102;
--
-- Ketidakleluasaan untuk tabel pelimpahan (Dumped Tables)
--
--
-- Ketidakleluasaan untuk tabel `pinjaman`
--
ALTER TABLE `pinjaman`
ADD CONSTRAINT `pinjaman_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Ketidakleluasaan untuk tabel `sub_transactions`
--
ALTER TABLE `sub_transactions`
ADD CONSTRAINT `sub_transactions_transaction_id_foreign` FOREIGN KEY (`transaction_id`) REFERENCES `transactions` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Ketidakleluasaan untuk tabel `transactions`
--
ALTER TABLE `transactions`
ADD CONSTRAINT `transactions_pinjaman_id_foreign` FOREIGN KEY (`pinjaman_id`) REFERENCES `pinjaman` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `transactions_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Ketidakleluasaan untuk tabel `users`
--
ALTER TABLE `users`
ADD CONSTRAINT `users_jabatan_id_foreign` FOREIGN KEY (`jabatan_id`) REFERENCES `params` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `users_pendidikan_id_foreign` FOREIGN KEY (`pendidikan_id`) REFERENCES `params` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `users_user_level_id_foreign` FOREIGN KEY (`user_level_id`) REFERENCES `user_levels` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Ketidakleluasaan untuk tabel `user_koperasi_details`
--
ALTER TABLE `user_koperasi_details`
ADD CONSTRAINT `user_koperasi_details_status_keluarga_id_foreign` FOREIGN KEY (`status_keluarga_id`) REFERENCES `params` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `user_koperasi_details_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) 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 */;
|
CREATE FUNCTION [dbo].[MinutesToDuration]
(
@minutes int , @format int = 0
)
RETURNS nvarchar(100)
AS
BEGIN
if (@format = 1) set @minutes = @minutes / 10000 * 60 + ((@minutes % 10000) / 100)
Declare @time varchar(100) = ''
if (@minutes > 1440)
select @time = cast(@minutes / 1440 as varchar(5)) + 'd ', @minutes = @minutes % 1440
select @time = @time + CAST((@minutes / 60) AS VARCHAR(2)) + 'h ', @minutes = @minutes % 60
select @time = @time + CAST(@minutes AS VARCHAR(2)) + 'm '
return @time
END
|
CREATE TABLE IF NOT EXISTS app_version (
id bigserial PRIMARY KEY, --自增id
appref_id bigint REFERENCES app_dispatch(id),
download_count integer NOT NULL default 0,
version integer, -- 内部版本管理
app_file character varying(64) NOT NULL, -- app 存放地址
create_time timestamp without time zone default CURRENT_TIMESTAMP
); |
<reponame>fufeifeifff/apiJson
/*
Navicat PostgreSQL Data Transfer
Source Server : localhost
Source Server Type : PostgreSQL
Source Server Version : 100005
Source Host : localhost:5432
Source Catalog : postgres
Source Schema : sys
Target Server Type : PostgreSQL
Target Server Version : 100005
File Encoding : 65001
Date: 26/08/2018 18:50:42
*/
-- ----------------------------
-- Table structure for apijson_user
-- ----------------------------
DROP TABLE IF EXISTS "sys"."apijson_user";
CREATE TABLE "sys"."apijson_user" (
"id" int8 NOT NULL,
"name" varchar(30) COLLATE "pg_catalog"."default" NOT NULL,
"sex" int2 NOT NULL DEFAULT 0,
"date" timestamp(6),
"head" varchar(255) COLLATE "pg_catalog"."default" NOT NULL DEFAULT 'http://my.oschina.net/img/portrait.gif?t=1451961935000'::character varying,
"contactidlist" json NOT NULL DEFAULT '[]'::json,
"picturelist" json NOT NULL DEFAULT '[]'::json,
"tag" varchar(50) COLLATE "pg_catalog"."default"
)
;
ALTER TABLE "sys"."apijson_user" OWNER TO "postgres";
-- ----------------------------
-- Records of apijson_user
-- ----------------------------
BEGIN;
INSERT INTO "sys"."apijson_user" VALUES (38710, 'TommyLemon', 0, '2017-02-01 19:21:50', 'http://static.oschina.net/uploads/user/1218/2437072_100.jpg?t=1461076033000', '[82003, 82005, 90814, 82004, 82009, 82002, 82044, 93793, 70793]', '["http://static.oschina.net/uploads/user/1218/2437072_100.jpg?t=1461076033000", "http://common.cnblogs.com/images/icon_weibo_24.png"]', 'Android&Java');
INSERT INTO "sys"."apijson_user" VALUES (82002, 'Happy~', 1, '2017-02-01 19:21:50', 'http://static.oschina.net/uploads/user/1174/2348263_50.png?t=1439773471000', '[82005, 82001, 38710]', '[]', 'iOS');
INSERT INTO "sys"."apijson_user" VALUES (82001, 'Test', 0, '2017-02-01 19:21:50', 'https://static.oschina.net/uploads/user/19/39085_50.jpg', '[82030, 82025, 82003, 93793, 82006, 1520242280259, 82005, 82024, 1531969715979]', '["http://common.cnblogs.com/images/icon_weibo_24.png"]', 'APIJSON User');
INSERT INTO "sys"."apijson_user" VALUES (70793, 'Strong', 0, '2017-02-01 19:21:50', 'http://static.oschina.net/uploads/user/585/1170143_50.jpg?t=1390226446000', '[38710, 82002]', '["http://static.oschina.net/uploads/img/201604/22172508_eGDi.jpg", "http://static.oschina.net/uploads/img/201604/22172507_rrZ5.jpg", "https://camo.githubusercontent.com/788c0a7e11a", "https://camo.githubusercontent.com/f513f67"]', 'djdj');
COMMIT;
-- ----------------------------
-- Table structure for moment
-- ----------------------------
DROP TABLE IF EXISTS "sys"."moment";
CREATE TABLE "sys"."moment" (
"id" int8 NOT NULL,
"content" varchar(1000) COLLATE "pg_catalog"."default",
"userid" int8 NOT NULL DEFAULT 0,
"praiseuseridlist" json NOT NULL DEFAULT '[]'::json,
"picturelist" json NOT NULL DEFAULT '[]'::json,
"date" timestamp(6)
)
;
ALTER TABLE "sys"."moment" OWNER TO "postgres";
-- ----------------------------
-- Records of moment
-- ----------------------------
BEGIN;
INSERT INTO "sys"."moment" VALUES (12, '1111534034', 70793, '[70793, 93793, 82044, 82040, 82055, 90814, 38710, 82002, 82006, 1508072105320, 82001]', '["http://static.oschina.net/uploads/img/201604/22172508_eGDi.jpg", "http://static.oschina.net/uploads/img/201604/22172507_rrZ5.jpg", "https://camo.githubusercontent.com/788c0a7e11a4f5aadef3c886f028c79b4808613a/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343932353935372d313732303737333630382e6a7067", "http://static.oschina.net/uploads/img/201604/22172507_Pz9Y.png", "https://camo.githubusercontent.com/c98b1c86af136745cc4626c6ece830f76de9ee83/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343930383036362d313837323233393236352e6a7067", "https://camo.githubusercontent.com/f513fa631bd780dc0ec3cf2663777e356dc3664f/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343733323232332d3337333933303233322e6a7067", "https://camo.githubusercontent.com/c98b1c86af136745cc4626c6ece830f76de9ee83/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343930383036362d313837323233393236352e6a7067", "https://camo.githubusercontent.com/f513fa631bd780dc0ec3cf2663777e356dc3664f/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343733323232332d3337333933303233322e6a7067"]', '2017-02-08 08:06:11');
INSERT INTO "sys"."moment" VALUES (15, 'APIJSON is a JSON Transmission Structure Protocol…', 70793, '[82055, 82002, 38710]', '["http://static.oschina.net/uploads/user/1218/2437072_100.jpg?t=1461076033000", "http://common.cnblogs.com/images/icon_weibo_24.png"]', '2017-02-08 08:06:11');
INSERT INTO "sys"."moment" VALUES (32, NULL, 82002, '[38710, 82002, 82001]', '["https://camo.githubusercontent.com/f513fa631bd780dc0ec3cf2663777e356dc3664f/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343733323232332d3337333933303233322e6a7067", "https://camo.githubusercontent.com/5f5c4e0c4dc539c34e8eae8ac0cbc6dccdfee5d3/687474703a2f2f696d61676573323031352e636e626c6f67732e636f6d2f626c6f672f3636303036372f3230313630342f3636303036372d32303136303431343232343533333831362d323032373434343231382e6a7067", "http://static.oschina.net/uploads/img/201604/22172508_mpwj.jpg"]', '2017-02-08 08:06:11');
INSERT INTO "sys"."moment" VALUES (1531969364022, 'APIJSON, let interfaces go to hell!', 82001, '[82001, 1532188114543, 1534926301956]', '["http://static.oschina.net/uploads/user/1218/2437072_100.jpg?t=1461076033000", "http://common.cnblogs.com/images/icon_weibo_24.png"]', '2018-07-19 11:02:44');
INSERT INTO "sys"."moment" VALUES (1512314438990, 'APIJSON iOS-Swift版发布，自动生成请求代码,欢迎使用^_^ https://github.com/TommyLemon/APIJSON', 38710, '[82001, 82002, 70793, 1512531601485]', '["https://images2018.cnblogs.com/blog/660067/201712/660067-20171203231829476-1202860128.jpg"]', '2017-12-03 23:20:38');
COMMIT;
-- ----------------------------
-- Primary Key structure for table apijson_user
-- ----------------------------
ALTER TABLE "sys"."apijson_user" ADD CONSTRAINT "apijson_user_pkey" PRIMARY KEY ("id");
-- ----------------------------
-- Primary Key structure for table moment
-- ----------------------------
ALTER TABLE "sys"."moment" ADD CONSTRAINT "moment_pkey" PRIMARY KEY ("id");
|
<reponame>klaasg/medgen-mysql
call log('index_tables.sql', 'begin');
call create_index('test_condition_gene', 'GeneTestsID');
call create_index('test_condition_gene', 'test_type');
call create_index('test_condition_gene', 'GTR_identifier');
call create_index('test_condition_gene', 'MIM_number');
call create_index('test_condition_gene', 'concept_type');
call create_index('test_condition_gene', 'concept_type, gene_or_SNOMED_CT_ID');
call log('index_tables.sql', 'done');
|
<reponame>rodo/postgresql-system-queries
-- Total number of dead tuples need to be vacuumed per table
SELECT schemaname, relname, n_dead_tup, n_live_tup, n_tup_del
FROM pg_stat_user_tables
WHERE schemaname NOT IN ('pg_catalog', 'information_schema', 'pg_toast')
ORDER BY n_dead_tup DESC, schemaname, relname;
|
<filename>PostgreSQL-Queries/when_case_in_aggregate_function.sql
SELECT orderid, customerid,
sum( CASE
WHEN totalamount < 100 THEN -100
ELSE totalamount
END ) AS "refund",
sum (totalamount) AS "normal total"
FROM orders
GROUP BY orderid
ORDER BY customerid; |
--
-- PostgreSQL database dump
--
-- Dumped from database version 12.4
-- Dumped by pg_dump version 13.3
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SELECT pg_catalog.set_config('search_path', '', false);
SET check_function_bodies = false;
SET xmloption = content;
SET client_min_messages = warning;
SET row_security = off;
SET default_tablespace = '';
SET default_table_access_method = heap;
--
-- Name: previ_data_template; Type: TABLE; Schema: public; Owner: radon_admin
--
CREATE TABLE public.previ_data_template (
producer_id integer NOT NULL,
analysis_time timestamp(0) without time zone NOT NULL,
station_id integer NOT NULL,
param_id integer NOT NULL,
level_id integer NOT NULL,
level_value numeric NOT NULL,
level_value2 numeric DEFAULT '-1'::integer NOT NULL,
forecast_period interval NOT NULL,
forecast_type_id integer NOT NULL,
forecast_type_value numeric DEFAULT '-1'::integer NOT NULL,
value numeric,
last_updater text,
last_updated timestamp with time zone
);
ALTER TABLE public.previ_data_template OWNER TO radon_admin;
--
-- Name: previ_data_template previ_data_template_pkey; Type: CONSTRAINT; Schema: public; Owner: radon_admin
--
ALTER TABLE ONLY public.previ_data_template
ADD CONSTRAINT previ_data_template_pkey PRIMARY KEY (producer_id, analysis_time, station_id, param_id, level_id, level_value, level_value2, forecast_period, forecast_type_id, forecast_type_value);
--
-- Name: previ_data_template audit_trigger_row; Type: TRIGGER; Schema: public; Owner: radon_admin
--
CREATE TRIGGER audit_trigger_row AFTER UPDATE ON public.previ_data_template FOR EACH ROW EXECUTE FUNCTION audit.if_modified_func('true');
--
-- Name: previ_data_template previ_data_template_store_last_updated_trg; Type: TRIGGER; Schema: public; Owner: radon_admin
--
CREATE TRIGGER previ_data_template_store_last_updated_trg BEFORE UPDATE ON public.previ_data_template FOR EACH ROW EXECUTE FUNCTION public.store_last_updated_f();
--
-- Name: previ_data_template previ_data_template_forecast_type_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: radon_admin
--
ALTER TABLE ONLY public.previ_data_template
ADD CONSTRAINT previ_data_template_forecast_type_id_fkey FOREIGN KEY (forecast_type_id) REFERENCES public.forecast_type(id);
--
-- Name: previ_data_template previ_data_template_level_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: radon_admin
--
ALTER TABLE ONLY public.previ_data_template
ADD CONSTRAINT previ_data_template_level_id_fkey FOREIGN KEY (level_id) REFERENCES public.level(id);
--
-- Name: previ_data_template previ_data_template_param_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: radon_admin
--
ALTER TABLE ONLY public.previ_data_template
ADD CONSTRAINT previ_data_template_param_id_fkey FOREIGN KEY (param_id) REFERENCES public.param(id);
--
-- Name: previ_data_template previ_data_template_producer_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: radon_admin
--
ALTER TABLE ONLY public.previ_data_template
ADD CONSTRAINT previ_data_template_producer_id_fkey FOREIGN KEY (producer_id) REFERENCES public.fmi_producer(id);
--
-- Name: previ_data_template previ_data_template_station_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: radon_admin
--
ALTER TABLE ONLY public.previ_data_template
ADD CONSTRAINT previ_data_template_station_id_fkey FOREIGN KEY (station_id) REFERENCES public.station(id);
--
-- Name: TABLE previ_data_template; Type: ACL; Schema: public; Owner: radon_admin
--
GRANT SELECT ON TABLE public.previ_data_template TO radon_ro;
GRANT INSERT,DELETE,UPDATE ON TABLE public.previ_data_template TO radon_rw;
--
-- PostgreSQL database dump complete
--
|
INSERT INTO eg_action (ID,NAME,URL,QUERYPARAMS,PARENTMODULE,ORDERNUMBER,DISPLAYNAME,ENABLED,CONTEXTROOT,VERSION,CREATEDBY,CREATEDDATE,LASTMODIFIEDBY,LASTMODIFIEDDATE,APPLICATION) values(nextval('SEQ_EG_ACTION'),'EmployeePositionsList','/report/positions',null,
(select id from eg_module where name='EIS Reports'),1,'Employee Positions List','false','eis',0,1,now(),1,now(),(select id from eg_module where name = 'EIS'));
insert into eg_roleaction values((select id from eg_role where name='Employee Admin'),(select id from eg_action where name='EmployeePositionsList' and contextroot = 'eis'));
insert into eg_roleaction values((select id from eg_role where name = 'ERP Report Viewer'),(select id from eg_action where name ='EmployeePositionsList' and contextroot = 'eis'));
insert into eg_roleaction values((select id from eg_role where name = 'Super User'),(select id from eg_action where name ='EmployeePositionsList' and contextroot = 'eis'));
insert into eg_roleaction values((select id from eg_role where name = 'EIS Report Viewer'),(select id from eg_action where name ='EmployeePositionsList' and contextroot = 'eis'));
update eg_feature_action set feature=(select id FROM eg_feature WHERE name = 'Employee Position Report') where action in (select id FROM eg_action WHERE name in ( 'EmployeePositionData','EmployeePositionList'));
INSERT INTO eg_feature_action (ACTION, FEATURE) VALUES ((select id FROM eg_action WHERE name = 'EmployeePositionsList') ,(select id FROM eg_feature WHERE name = 'Employee Position Report')); |
DROP DATABASE IF EXISTS EMP_CMS2_db;
CREATE DATABASE EMP_CMS2_db;
USE EMP_CMS2_db;
CREATE TABLE Departments (
dep_id INTEGER AUTO_INCREMENT NOT NULL PRIMARY KEY,
dep_name VARCHAR(30) NULL
);
USE EMP_CMS2_db;
CREATE TABLE Roles (
role_id INTEGER AUTO_INCREMENT PRIMARY KEY,
title VARCHAR(30) NULL,
salary DECIMAL(9,2) NULL,
dep_id INTEGER NULL
);
USE EMP_CMS2_db;
CREATE TABLE Employees (
emp_id INTEGER AUTO_INCREMENT PRIMARY KEY NOT NULL,
first_name VARCHAR(30) NULL,
last_name VARCHAR(30) NULL,
role_id INTEGER NULL,
manager_id INTEGER NULL
);
|
<reponame>fatdba/oracle-script-lib<filename>sql/flash-hist-stats.sql
@nls_time_format
set linesize 200 trimspool on
set pagesize 60
col begin_interval_time format a30
col value format 999,999,999,999,999
break on begin_interval_time
select sh.begin_interval_time, ss.instance_number, ss.stat_name, ss.value
from dba_hist_sysstat ss
join dba_hist_snapshot sh on sh.snap_id = ss.snap_id
and sh.dbid = ss.dbid
and sh.instance_number = ss.instance_number
and ss.stat_name like '%flash%'
and sh.begin_interval_time >= systimestamp - interval '4' hour
order by ss.snap_id, ss.stat_name
/
|
/****** Script for SelectTopNRows command from SSMS ******/
SELECT TOP (1000) [ProductId]
,[StoreId]
,[ProductCount]
FROM [Vendor].[dbo].[INVENTORY]
SELECT PRODUCTS.ProductId, INVENTORY.ProductId
FROM PRODUCTS
INNER JOIN INVENTORY
on PRODUCTS.ProductId = INVENTORY.ProductId;
SELECT STORES.StoreId, INVENTORY.StoreId
FROM STORES
INNER JOIN INVENTORY
ON STORES.StoreId= Inventory.StoreId;
SELECT PRODUCTS.ProductName, PRODUCTS.ProductDescription
FROM PRODUCTS
INNER JOIN INVENTORY
ON PRODUCTS.ProductId=INVENTORY.ProductId
WHERE INVENTORY.StoreId=5;
|
<gh_stars>0
SELECT FirstName, LastName FROM Employees WHERE LEN(LastName)=5 |
-- Migrating to transform deprecated SPAN classes to INT4RANGE
--
-- BEGIN TRANSACTION;
--
-- -- INSERT INTO document (SELECT * FROM kbpo_bk.document);
-- -- INSERT INTO document_tag (SELECT * FROM kbpo_bk.document_tag);
-- INSERT INTO sentence(id, updated, doc_id, span, sentence_index, words, lemmas, pos_tags, ner_tags, doc_char_begin, doc_char_end, gloss, dependencies) (
-- SELECT id, updated,
-- doc_id, int4range(doc_char_begin[1], doc_char_end[array_length(doc_char_end, 1)]), sentence_index,
-- words, lemmas, pos_tags, ner_tags, doc_char_begin, doc_char_end, gloss, dependencies
-- FROM kbpo_bk.sentence);
-- -- INSERT INTO suggested_mention(doc_id, span, updated, sentence_id, mention_type, canonical_span, gloss) (SELECT doc_id, int4range((id).char_begin, (id).char_end), updated, sentence_id, mention_type, int4range((canonical_span).char_begin, (canonical_span).char_end), gloss FROM kbpo_bk.suggested_mention_);
-- INSERT INTO suggested_link(doc_id, span, updated, link_name, confidence) (SELECT
-- doc_id, int4range((id).char_begin, (id).char_end), updated, link_name, confidence
-- FROM kbpo_bk.suggested_link);
--
-- COMMIT;
-- BEGIN TRANSACTION;
--
-- INSERT INTO submission (SELECT * FROM kbpo_bk.submission);
--
-- INSERT INTO submission_mention(submission_id, doc_id, span, updated, canonical_span, mention_type, gloss) (SELECT
-- submission_id, doc_id, int4range((mention_id).char_begin, (mention_id).char_end), updated,
-- int4range((canonical_id).char_begin, (canonical_id).char_end),
-- mention_type, gloss
-- FROM kbpo_bk.submission_mention);
--
-- INSERT INTO submission_link(submission_id, doc_id, span, updated, link_name, confidence) (SELECT
-- submission_id, doc_id, int4range((mention_id).char_begin, (mention_id).char_end), updated, link_name, confidence
-- FROM kbpo_bk.submission_link);
--
-- INSERT INTO submission_relation(submission_id, doc_id, subject, object, updated, relation, provenances, confidence) (SELECT
-- submission_id, doc_id,
-- int4range((subject_id).char_begin, (subject_id).char_end), int4range((object_id).char_begin, (object_id).char_end),
-- updated, relation, ARRAY[]::int4range[], confidence
-- FROM kbpo_bk.submission_relation);
--
-- -- INSERT INTO submission_score (SELECT * FROM kbpo_bk.submission_score);
--
-- COMMIT;
BEGIN TRANSACTION;
INSERT INTO evaluation_batch (SELECT id, created, batch_type, corpus_tag, params::JSON, description FROM kbpo_bk.evaluation_batch);
INSERT INTO evaluation_question (SELECT id, batch_id, created, params::JSON FROM kbpo_bk.evaluation_question);
INSERT INTO mturk_batch (SELECT id, created, params::JSON, description FROM kbpo_bk.mturk_batch);
INSERT INTO mturk_hit (SELECT id, batch_id, question_batch_id, question_id, created, type_id, price, units FROM kbpo_bk.mturk_hit);
INSERT INTO mturk_assignment (SELECT id, batch_id, hit_id, created, worker_id, worker_time, status::HIT_STATUS, response::JSON, comments, ignored FROM kbpo_bk.mturk_assignment);
INSERT INTO evaluation_mention_response(assignment_id, question_batch_id, question_id, doc_id, span, created, canonical_span, mention_type, gloss, weight) (SELECT
assignment_id, question_batch_id, question_id,
doc_id, int4range((mention_id).char_begin, (mention_id).char_end),
created,
int4range((canonical_id).char_begin, (canonical_id).char_end),
mention_type, gloss, weight
FROM kbpo_bk.evaluation_mention_response);
-- evaluation_mention
INSERT INTO evaluation_mention(question_batch_id, question_id, doc_id, span, created, canonical_span, mention_type, gloss, weight) (SELECT
ARRAY[question_batch_id], ARRAY[question_id],
doc_id, int4range((mention_id).char_begin, (mention_id).char_end),
created,
int4range((canonical_id).char_begin, (canonical_id).char_end),
mention_type, gloss, weight
FROM kbpo_bk.evaluation_mention);
-- evaluation_link_response
INSERT INTO evaluation_link_response(assignment_id, question_batch_id, question_id, doc_id, span, created, link_name, weight) (SELECT
assignment_id, question_batch_id, question_id,
doc_id, int4range((mention_id).char_begin, (mention_id).char_end),
created,
link_name, weight
FROM kbpo_bk.evaluation_link_response);
-- evaluation_link
INSERT INTO evaluation_link(question_batch_id, question_id, doc_id, span, created, link_name, weight) (SELECT
ARRAY[question_batch_id], ARRAY[question_id],
doc_id, int4range((mention_id).char_begin, (mention_id).char_end),
created,
link_name, weight
FROM kbpo_bk.evaluation_link);
-- evaluation_relation_response
INSERT INTO evaluation_relation_response(assignment_id, question_batch_id, question_id, doc_id, subject, object, created, relation, weight) (SELECT
assignment_id, question_batch_id, question_id, doc_id,
int4range((subject_id).char_begin, (subject_id).char_end),
int4range((object_id).char_begin, (object_id).char_end),
created, relation, weight
FROM kbpo_bk.evaluation_relation_response);
-- evaluation_relation
INSERT INTO evaluation_relation(question_batch_id, question_id, doc_id, subject, object, created, relation, weight) (SELECT
array_agg(question_batch_id), array_agg(question_id), doc_id,
int4range((subject_id).char_begin, (subject_id).char_end) AS subject,
int4range((object_id).char_begin, (object_id).char_end) AS object,
min(created), min(relation), avg(weight)
FROM kbpo_bk.evaluation_relation
GROUP BY doc_id, subject, object
);
COMMIT;
|
-- Schema
IF NOT EXISTS (SELECT * FROM sys.schemas WHERE name = 'DataGen')
BEGIN
EXEC('CREATE SCHEMA DataGen')
END
GO
-- Types
IF TYPE_ID(N'DataGen.PaymentGenerationSourceTable') IS NULL
BEGIN
CREATE TYPE DataGen.PaymentGenerationSourceTable AS TABLE
(monthBeforeToDate int, amount decimal(18, 4), paymentsToGenerate int, createMonth datetime)
END
GO
IF TYPE_ID(N'DataGen.LevyGenerationSourceTable') IS NULL
BEGIN
CREATE TYPE DataGen.LevyGenerationSourceTable AS TABLE
(/*rowNumber int IDENTITY, */monthBeforeToDate int, amount decimal(18, 4), createMonth datetime, payrollYear varchar(5), payrollMonth int)
END
GO
-- Functions
CREATE OR ALTER FUNCTION DataGen.CalendarPeriodMonth (@date datetime)
RETURNS int
AS
BEGIN
DECLARE @month int = DATEPART(month,@date)
RETURN(@month);
END;
GO
CREATE OR ALTER FUNCTION DataGen.CalendarPeriodYear (@date datetime)
RETURNS int
AS
BEGIN
DECLARE @year int = DATEPART(year,@date)
RETURN @year
END;
GO
CREATE OR ALTER FUNCTION DataGen.PayrollMonth (@date datetime)
RETURNS int
AS
BEGIN
DECLARE @month int = DATEPART(month,@date)
SET @month = @month - 3
IF @month < 1
SET @month = @month + 12
RETURN(@month);
END;
GO
CREATE OR ALTER FUNCTION DataGen.PayrollYear (@date datetime)
RETURNS VARCHAR(5)
AS
BEGIN
DECLARE @month int = DATEPART(month,@date)
DECLARE @year int = DATEPART(year,@date)
IF @month < 4
SET @year = @year - 1
DECLARE @payrollYear varchar(5) = (SELECT RIGHT(CONVERT(varchar(5), @year, 1), 2)) + '-' + (SELECT RIGHT(CONVERT(varchar(4), @year+1, 1), 2))
RETURN @payrollYear
END;
GO
CREATE OR ALTER FUNCTION DataGen.CollectionPeriodMonth (@date datetime)
RETURNS int
AS
BEGIN
DECLARE @collectionPeriodMonth int = (SELECT DataGen.CalendarPeriodMonth(@date))
RETURN @collectionPeriodMonth
END;
GO
CREATE OR ALTER FUNCTION DataGen.CollectionPeriodYear (@date datetime)
RETURNS int
AS
BEGIN
DECLARE @collectionPeriodYear int = (SELECT DataGen.CalendarPeriodYear(@date))
RETURN @collectionPeriodYear
END;
GO
--todo R13, R14
CREATE OR ALTER FUNCTION DataGen.PeriodEndMonth (@date datetime)
RETURNS VARCHAR(5)
AS
BEGIN
DECLARE @month int = DATEPART(month,@date)
SET @month = @month - 7
IF @month < 1
SET @month = @month + 12
DECLARE @periodEndMonth varchar(5) = CONVERT(varchar(5), @month)
RETURN @periodEndMonth;
END;
GO
--todo R13, R14
CREATE OR ALTER FUNCTION DataGen.PeriodEndYear (@date datetime)
RETURNS varchar(5)
AS
BEGIN
DECLARE @month int = DATEPART(month,@date)
DECLARE @year int = DATEPART(year,@date)
IF @month < 8
SET @year = @year - 1
DECLARE @periodEndYear varchar(4) = (SELECT RIGHT(CONVERT(varchar(5), @year, 1), 2)) + (SELECT RIGHT(CONVERT(varchar(4), @year+1, 1), 2))
RETURN @periodEndYear
END;
GO
CREATE OR ALTER FUNCTION DataGen.PeriodEnd (@date datetime)
RETURNS varchar(8)
AS
BEGIN
DECLARE @periodEnd varchar(8) = (SELECT DataGen.PeriodEndYear(@date) + '-R' + RIGHT('0' + DataGen.PeriodEndMonth(@date),2))
RETURN @periodEnd
END;
GO
--better name? GeneratePaymentSourceTable
CREATE OR ALTER FUNCTION DataGen.GenerateSourceTable(
@toDate datetime,
@numberOfMonthsToCreate int,
@defaultMonthlyTotalPayments decimal(18,5),
@defaultPaymentsPerMonth int)
RETURNS @source TABLE (
/*rowNumber int IDENTITY,*/ monthBeforeToDate int, amount decimal(18, 4), paymentsToGenerate int, createMonth datetime)
BEGIN
INSERT INTO @source
SELECT TOP (@numberOfMonthsToCreate)
monthBeforeToDate = -@numberOfMonthsToCreate+ROW_NUMBER() OVER (ORDER BY [object_id]),
@defaultMonthlyTotalPayments,
@defaultPaymentsPerMonth,
DATEADD(month,/*monthBeforeToDate*/ -@numberOfMonthsToCreate+ROW_NUMBER() OVER (ORDER BY [object_id]),@toDate)
FROM sys.all_objects
ORDER BY monthBeforeToDate;
RETURN
END
GO
CREATE OR ALTER FUNCTION DataGen.GenerateLevySourceTable(
@toDate datetime,
@numberOfMonthsToCreate int,
@monthlyLevy decimal(18, 4))
RETURNS @source TABLE
(monthBeforeToDate int, amount decimal(18, 4), createMonth datetime, payrollYear varchar(5), payrollMonth int)
BEGIN
DECLARE @firstPayrollMonth datetime = DATEADD(month,-@numberOfMonthsToCreate+1-1,@toDate)
DECLARE @firstPayrollYear varchar(5) = DataGen.PayrollYear(@firstPayrollMonth)
DECLARE @monthNumber INT = 1
-- generates same levy per month
WHILE @monthNumber <= @numberOfMonthsToCreate
BEGIN
INSERT INTO @source (monthBeforeToDate, amount, createMonth, payrollYear, payrollMonth)
VALUES (
-@numberOfMonthsToCreate+@monthNumber,
(CASE
WHEN DataGen.PayrollYear(DATEADD(month, -1-@numberOfMonthsToCreate+@monthNumber, @toDate)) = @firstPayrollYear
THEN @monthlyLevy*@monthNumber
ELSE @monthlyLevy*DataGen.PayrollMonth(DATEADD(month, -1-@numberOfMonthsToCreate+@monthNumber, @toDate))
END),
DATEADD(month, -@numberOfMonthsToCreate+@monthNumber, @toDate),
DataGen.PayrollYear(DATEADD(month, -1-@numberOfMonthsToCreate+@monthNumber, @toDate)),
DataGen.PayrollMonth(DATEADD(month, -1-@numberOfMonthsToCreate+@monthNumber, @toDate)))
SET @monthNumber = @monthNumber + 1
END
RETURN
END
GO
-- Stored Procedures
-- Add period end if its not already there
CREATE OR ALTER PROCEDURE DataGen.CreatePeriodEnd
(
@periodEndDate datetime
)
AS
BEGIN
DECLARE @periodEndId varchar(8) = DataGen.PeriodEnd(@periodEndDate)
IF NOT EXISTS
(
SELECT 1 FROM [employer_financial].[periodend]
WHERE periodendid = @periodEndId
)
BEGIN
INSERT employer_financial.periodend (periodendid, calendarperiodmonth, calendarperiodyear, accountdatavalidat, commitmentdatavalidat, completiondatetime, paymentsforperiod)
VALUES (@periodEndId, DataGen.CalendarPeriodMonth(@periodEndDate), DataGen.CalendarPeriodYear(@periodEndDate), '2018-05-04 00:00:00.000', '2018-05-04 09:07:34.457', '2018-05-04 10:50:27.760', 'https://pp-payments.apprenticeships.sfa.bis.gov.uk/api/payments?periodId=' + @periodEndId)
END
END
GO
CREATE OR ALTER PROCEDURE DataGen.CreateEnglishFractions(
@payeScheme nvarchar(50),
@levyDecByMonth LevyGenerationSourceTable READONLY
)
AS
BEGIN
-- engligh fractions usually generated on 1, 4, 7, 10 (not 3, 6, 9, 12), but can be generated anytime
DECLARE @englishFractionMonths TABLE (dateCalculated datetime)
-- first quarter before (or on) first month
INSERT @englishFractionMonths
SELECT TOP 1 DATEADD(month,-DATEPART(month,createMonth)%3, createMonth) FROM @levyDecByMonth ORDER BY createMonth
-- rest of the quarters
INSERT @englishFractionMonths
SELECT createMonth FROM (SELECT createMonth FROM @levyDecByMonth EXCEPT SELECT TOP 1 createMonth FROM @levyDecByMonth ORDER BY createMonth) x WHERE DATEPART(month,createMonth)%3 = 0
-- only insert english fraction rows that don't already exist (and add english fraction calcs on consistent day of the month)
DECLARe @newEnglishFractionMonths TABLE (dateCalculated datetime)
INSERT @newEnglishFractionMonths
SELECT DATEFROMPARTS(DATEPART(year,dateCalculated), DATEPART(month,dateCalculated), 7) FROM @englishFractionMonths
EXCEPT SELECT dateCalculated FROM employer_financial.EnglishFraction WHERE EmpRef = @payeScheme
INSERT employer_financial.EnglishFraction (DateCalculated, Amount, EmpRef, DateCreated)
SELECT dateCalculated, 1.0, @payeScheme, dateCalculated FROM @newEnglishFractionMonths
END;
GO
CREATE OR ALTER PROCEDURE DataGen.CreateLevyDecs(
@accountId bigint,
@payeScheme nvarchar(50),
@toDate datetime2,
@levyDecByMonth LevyGenerationSourceTable READONLY
)
AS
BEGIN
DECLARE @maxSubmissionId BIGINT = ISNULL((SELECT MAX(SubmissionId) FROM employer_financial.levydeclaration),0)
DECLARE @numberOfMonths int
SELECT @numberOfMonths = count(1) FROM @levyDecByMonth
DECLARE @baselineSubmissionDate datetime = DATEFROMPARTS(year(@toDate), month(@toDate), 18)
DECLARE @baselineCreatedDate datetime = DATEFROMPARTS(year(@toDate), month(@toDate), 20)
DECLARE @baselinePayrollDate datetime = DATEADD(month, -1, @toDate)
INSERT INTO employer_financial.levydeclaration (
AccountId, empref,
levydueytd,
levyallowanceforyear,
submissiondate,
submissionid,
payrollyear,
payrollmonth,
createddate,
hmrcsubmissionid)
SELECT @accountId, @payeScheme,
amount,
1500.0000,
DATEADD(month, monthBeforeToDate, @baselineSubmissionDate),
@maxSubmissionId + monthBeforeToDate + @numberOfMonths,
DataGen.PayrollYear(DATEADD(month, monthBeforeToDate, @baselinePayrollDate)),
DataGen.PayrollMonth(DATEADD(month, monthBeforeToDate, @baselinePayrollDate)),
DATEADD(month, monthBeforeToDate, @baselineCreatedDate),
@maxSubmissionId + monthBeforeToDate + @numberOfMonths
FROM @levyDecByMonth
--- Process the levy decs into transaction lines
EXEC employer_financial.processdeclarationstransactions @accountId, @payeScheme, @toDate, 24
END;
GO
CREATE OR ALTER PROCEDURE DataGen.CreatePayment
(
@accountId bigint,
@providerName nvarchar(max),
@apprenticeshipCourseName nvarchar(max),
@apprenticeshipCourseLevel int,
@apprenticeName varchar(max),
@ukprn bigint,
@uln bigint,
@apprenticeshipid bigint,
@fundingSource int,
@Amount decimal(18,5),
@periodEndDate datetime
)
AS
BEGIN
DECLARE @paymentMetadataId bigint
INSERT INTO employer_financial.paymentmetadata
(ProviderName, StandardCode, FrameworkCode, ProgrammeType, PathwayCode, ApprenticeshipCourseName, ApprenticeshipCourseStartDate, ApprenticeshipCourseLevel, ApprenticeName, ApprenticeNINumber)
VALUES
(@providerName,4,null,null,null, @apprenticeshipCourseName,'01/06/2018', @apprenticeshipCourseLevel, @apprenticeName, null)
SELECT @paymentMetadataId = SCOPE_IDENTITY()
-- @deliveryPeriodDate approx 0-6 months before collection period
--todo: needs to be in same ay? if so, get month, knock some off, don't go below 1, then convert back to date
DECLARE @deliveryPeriodDate datetime = DATEADD(month, -floor(rand()*6), @periodEndDate)
-- evidencesubmittedon >= devliveryperiod (can also be > collectionperiod)
--declare @evidenceSubmittedOn datetime = DATEADD(month, 1, @deliveryPeriodDate)
INSERT INTO employer_financial.payment
(paymentid, ukprn, uln, accountid, apprenticeshipid, deliveryperiodmonth, deliveryperiodyear,
collectionperiodid, collectionperiodmonth, collectionperiodyear,
evidencesubmittedon, employeraccountversion, apprenticeshipversion, fundingsource, transactiontype, amount, periodend, paymentmetadataid)
VALUES
(NEWID(), @ukprn, @uln, @accountid, @apprenticeshipid, DataGen.CalendarPeriodMonth(@deliveryPeriodDate), DataGen.CalendarPeriodYear(@deliveryPeriodDate),
DataGen.PeriodEnd(@periodEndDate), DataGen.CollectionPeriodMonth(@periodEndDate), DataGen.CollectionPeriodYear(@periodEndDate),
'2018-06-03 16:24:22.340', 20170504, 69985, @fundingsource, 1, @Amount, DataGen.PeriodEnd(@periodEndDate), @paymentMetadataId)
END;
GO
CREATE OR ALTER PROCEDURE DataGen.CreateAccountPayments
(
@accountId bigint,
@accountName nvarchar(100),
@providerName nvarchar(MAX),
@ukprn bigint,
@courseName nvarchar(MAX),
@fundingSource int,
@periodEndDate datetime,
@totalAmount decimal(18,5),
@numberOfPayments int,
@firstApprenticeshipId bigint output
)
AS
BEGIN
DECLARE @paymentAmount decimal(18,5) = @totalAmount / @numberOfPayments
DECLARE @fundingSourceString varchar(25) = CAST(@fundingSource AS varchar(25))
DECLARE @name varchar(100)
DECLARE @uln bigint
DECLARE @apprenticeshipId bigint
SET @firstApprenticeshipId = (ISNULL((SELECT MAX(ApprenticeshipId) FROM employer_financial.Payment),0) + 1)
WHILE (@numberOfPayments > 0)
BEGIN
SET @numberOfPayments = @numberOfPayments - 1
SET @name = (CHAR(ASCII('A') + @numberOfPayments)) + ' Apprentice'
SET @uln = 1000000000 + @numberOfPayments
SET @apprenticeshipId = @firstApprenticeshipId + @numberOfPayments
EXEC DataGen.CreatePayment @accountId, @providerName, @courseName, 1, @name, @ukprn, @uln, @apprenticeshipId, @fundingSourceString, @paymentAmount, @periodEndDate
END
END
GO
CREATE OR ALTER PROCEDURE DataGen.CreateTransfer
(
@senderAccountId bigint,
@senderAccountName nvarchar(100),
@receiverAccountId bigint,
@receiverAccountName nvarchar(100),
@apprenticeshipId bigint,
@courseName varchar(max),
@amount decimal(18,5),
@periodEnd nvarchar(20),
@type varchar(50),
@transferDate datetime
)
AS
BEGIN
INSERT INTO [employer_financial].[AccountTransfers]
(
SenderAccountId, SenderAccountName, ReceiverAccountId, ReceiverAccountName,
ApprenticeshipId, CourseName,
PeriodEnd,
Amount,
Type,
CreatedDate,
RequiredPaymentId
)
VALUES
(
@senderAccountId, @senderAccountName, @receiverAccountId, @receiverAccountName,
@apprenticeshipId, @courseName,
@periodEnd,
@amount,
@type,
@transferDate,
NEWID()
)
END;
GO
CREATE OR ALTER PROCEDURE DataGen.CreateAccountTransferTransaction
@accountId bigint,
@senderAccountId bigint,
@senderAccountName nvarchar(100),
@receiverAccountId bigint,
@receiversAccountName nvarchar(100),
@periodEnd nvarchar(20),
@amount decimal(18,4),
@createDate datetime
AS
BEGIN
--Create transfer sender transaction
INSERT INTO [employer_financial].[TransactionLine]
(
AccountId
,DateCreated
,TransactionDate, TransactionType
,Amount
,PeriodEnd
,TransferSenderAccountId, TransferReceiverAccountId, TransferReceiverAccountName, TransferSenderAccountName
)
VALUES
(
@accountId,
@createDate,
@createDate, 4,
@amount,
@periodEnd,
@senderAccountId, @receiverAccountId, @receiversAccountName, @senderAccountName
)
END
GO
CREATE OR ALTER PROCEDURE DataGen.ProcessPaymentDataTransactionsGenerateDataEdition
@AccountId bigint,
@DateCreated datetime
AS
--- Process Levy Payments ---
INSERT INTO [employer_financial].[TransactionLine]
SELECT mainUpdate.* FROM
(
SELECT
x.AccountId AS AccountId,
DATEFROMPARTS(DATEPART(yyyy,@DateCreated),DATEPART(MM,@DateCreated),DATEPART(dd,@DateCreated)) AS DateCreated,
NULL AS SubmissionId,
MAX(pe.CompletionDateTime) AS TransactionDate,
3 AS TransactionType,
NULL AS LevyDeclared,
SUM(ISNULL(p.Amount, 0)) * -1 Amount,
NULL AS EmpRef,
x.PeriodEnd,
x.Ukprn,
SUM(ISNULL(pco.Amount, 0)) * -1 AS SfaCoInvestmentAmount,
SUM(ISNULL(pci.Amount, 0)) * -1 AS EmployerCoInvestmentAmount,
0 AS EnglishFraction,
NULL AS TransferSenderAccountId,
NULL AS TransferSenderAccountName,
NULL AS TransferReceiverAccountId,
NULL AS TransferReceiverAccountName
FROM
employer_financial.[Payment] x
INNER JOIN [employer_financial].[PeriodEnd] pe
ON pe.PeriodEndId = x.PeriodEnd
LEFT JOIN [employer_financial].[Payment] p
ON p.PeriodEnd = pe.PeriodEndId AND p.PaymentId = x.PaymentId AND p.FundingSource IN (1, 5)
LEFT JOIN [employer_financial].[Payment] pco
ON pco.PeriodEnd = pe.PeriodEndId AND pco.PaymentId = x.PaymentId AND pco.FundingSource = x.FundingSource AND pco.FundingSource = 2
LEFT JOIN [employer_financial].[Payment] pci
ON pci.PeriodEnd = pe.PeriodEndId AND pci.PaymentId = x.PaymentId AND pci.FundingSource = x.FundingSource AND pci.FundingSource = 3
WHERE x.AccountId = @AccountId
GROUP BY
x.Ukprn,x.PeriodEnd,x.AccountId
) mainUpdate
INNER JOIN (
SELECT AccountId,Ukprn,PeriodEnd FROM [employer_financial].Payment WHERE FundingSource IN (1,2,3,5)
EXCEPT
SELECT AccountId,Ukprn,PeriodEnd FROM [employer_financial].[TransactionLine] WHERE TransactionType = 3
) dervx ON dervx.AccountId = mainUpdate.AccountId AND dervx.PeriodEnd = mainUpdate.PeriodEnd AND dervx.Ukprn = mainUpdate.Ukprn
GO
CREATE OR ALTER PROCEDURE DataGen.CreatePaymentsForMonth
(
@accountId bigint,
@accountName nvarchar(100),
@createDate datetime,
@totalPaymentAmount decimal(18,5),
@numberOfPayments int
)
AS
BEGIN
BEGIN TRANSACTION
DECLARE @periodEndDate datetime = DATEADD(month, -1, @createDate)
DECLARE @periodEndId varchar(8) = DataGen.PeriodEnd(@periodEndDate)
DECLARE @ukprn bigint = 10001378
DECLARE @apprenticeshipId bigint
EXEC DataGen.CreatePeriodEnd @periodEndDate
EXEC DataGen.CreateAccountPayments @accountId, @accountName, '<NAME>', @ukprn, 'Accounting', /*Levy*/1, @periodEndDate, @totalPaymentAmount, @numberOfPayments,
@firstApprenticeshipId = @apprenticeshipId OUTPUT
-- #ProcessPaymentDataTransactionsGenerateDataEdition doesn't create a new payment transactionline where one already exists
-- so we remove any current payment transactionline first, so that payments can be additively generated in a month
DELETE [employer_financial].[TransactionLine] WHERE AccountId = @accountId AND Ukprn = @ukprn AND PeriodEnd = @periodEndId AND TransactionType = 3
EXEC DataGen.ProcessPaymentDataTransactionsGenerateDataEdition @accountId, @createDate
COMMIT TRANSACTION
END
GO
--todo: eith merge CreatePaymentForMonth & createPaymentAndTransferForMonth
-- or get transfer version to call just payment version
CREATE OR ALTER PROCEDURE DataGen.CreatePaymentAndTransferForMonth
(
@senderAccountId bigint,
@senderAccountName nvarchar(100),
@receiverAccountId bigint,
@receiverAccountName nvarchar(100),
@createDate datetime,
@totalPaymentAmount decimal(18,5),
@numberOfPayments int
)
AS
BEGIN
BEGIN TRANSACTION
DECLARE @periodEndDate datetime = DATEADD(month, -1, @createDate)
DECLARE @periodEndId varchar(8) = DataGen.PeriodEnd(@periodEndDate)
DECLARE @courseName nvarchar(max) = 'Plate Spinning'
DECLARE @ukprn bigint = 10001378
DECLARE @apprenticeshipId bigint
EXEC DataGen.CreatePeriodEnd @periodEndDate
--todo: we currently make sure that we always use an unique apprenticeshipid, so we don't fall over the unique index [IX_PeriodEndAccountTransfer]
-- ^^ this might be good enough, but in reality, each month would have transfers for the same apprenticeshipid
-- so it would be better to generate the first one outside of this sproc and reuse it for each month (once we generate >1 transfer at a time)
-- or else have it as a user param (+ve can generate correct data, -ve requires manual work and greater understanding)
EXEC DataGen.CreateAccountPayments @receiverAccountId, @receiverAccountName, '<NAME>', @ukprn, @courseName, /*LevyTransfer*/5, @periodEndDate, @totalPaymentAmount, @numberOfPayments,
@firstApprenticeshipId = @apprenticeshipId OUTPUT
--note: employer finance inserts the first apprenticeshipId from the set of transfers (and the others are ignored for the accounttransfer row)
EXEC DataGen.CreateTransfer @senderAccountId, @senderAccountName, @receiverAccountId, @receiverAccountName, @apprenticeshipId, @courseName, @totalPaymentAmount, @periodEndId, 'Levy', @createDate
DECLARE @negativeTotalPaymentAmount decimal(18,5) = -@totalPaymentAmount
EXEC DataGen.CreateAccountTransferTransaction @senderAccountId, @senderAccountId, @senderAccountName, @receiverAccountId, @receiverAccountName, @periodEndId, @negativeTotalPaymentAmount, @createDate
EXEC DataGen.CreateAccountTransferTransaction @receiverAccountId, @senderAccountId, @senderAccountName, @receiverAccountId, @receiverAccountName, @periodEndId, @totalPaymentAmount, @createDate
--todo: check what these are doing. are they required? if so will need datageneration edition that accepts date rather than using getdate
--exec employer_financial.processdeclarationstransactions @senderAccountId, @senderPayeScheme
--exec employer_financial.processdeclarationstransactions @receiverAccountId, @receiverPayeScheme
-- #ProcessPaymentDataTransactionsGenerateDataEdition doesn't create a new payment transactionline where one already exists
-- so we remove any current payment transactionline first, so that payments can be additively generated in a month
DELETE [employer_financial].[TransactionLine] WHERE AccountId = @receiverAccountId AND Ukprn = @ukprn AND PeriodEnd = @periodEndId AND TransactionType = 3
EXEC DataGen.ProcessPaymentDataTransactionsGenerateDataEdition @receiverAccountId, @createDate
COMMIT TRANSACTION
END
GO
CREATE OR ALTER PROCEDURE DataGen.CreatePaymentsForMonths
(
@accountId bigint,
@accountName nvarchar(100),
@source AS PaymentGenerationSourceTable READONLY
)
AS
BEGIN
DECLARE @monthBeforeToDate int = 1
DECLARE @createDate datetime
DECLARE @amount decimal(18, 4)
DECLARE @paymentsToGenerate int
WHILE (1 = 1)
BEGIN
SELECT TOP 1 @monthBeforeToDate = monthBeforeToDate, @createDate = createMonth, @amount = amount, @paymentsToGenerate = paymentsToGenerate
FROM @source
WHERE monthBeforeToDate < @monthBeforeToDate
ORDER BY monthBeforeToDate DESC
IF @@ROWCOUNT = 0 BREAK;
EXEC DataGen.CreatePaymentsForMonth @accountId, @accountName, @createDate, @amount, @paymentsToGenerate
END
END
GO
CREATE OR ALTER PROCEDURE DataGen.CreateTransfersForMonths
(
@senderAccountId bigint,
@senderAccountName nvarchar(100),
@receiverAccountId bigint,
@receiverAccountName nvarchar(100),
@source AS PaymentGenerationSourceTable READONLY
)
AS
BEGIN
DECLARE @monthBeforeToDate int = 1
DECLARE @createDate datetime
DECLARE @amount decimal(18, 4)
DECLARE @paymentsToGenerate int
WHILE (1 = 1)
BEGIN
SELECT TOP 1 @monthBeforeToDate = monthBeforeToDate, @createDate = createMonth, @amount = amount, @paymentsToGenerate = paymentsToGenerate
FROM @source
WHERE monthBeforeToDate < @monthBeforeToDate
ORDER BY monthBeforeToDate DESC
IF @@ROWCOUNT = 0 BREAK;
EXEC DataGen.CreatePaymentAndTransferForMonth @senderAccountId, @senderAccountName,
@receiverAccountId, @receiverAccountName,
@createDate, @amount, @paymentsToGenerate
END
END
GO
|
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (2, 1993, 7, '<NAME>', NULL, NULL, NULL, NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (3, 1994, 14, '<NAME>', NULL, NULL, NULL, NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (4, 1995, 13, '<NAME>', NULL, '<NAME>', '<NAME>', NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (5, 1996, 12, '<NAME>', NULL, '<NAME>', '<NAME>', NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (6, 1997, 16, '<NAME>', NULL, '<NAME>', '<NAME>', NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (7, 1998, 16, '<NAME>', NULL, '<NAME>', '<NAME>', NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (8, 1999, 16, '<NAME>', NULL, '<NAME>', '<NAME>', NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (9, 2000, 16, '<NAME>', '<NAME>', '<NAME>', '<NAME>', NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (10, 2001, 16, NULL, NULL, NULL, NULL, NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (11, 2002, 16, NULL, NULL, NULL, NULL, NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (12, 2003, 16, '<NAME>', NULL, NULL, NULL, NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (13, 2004, 16, NULL, NULL, '<NAME>', NULL, NULL);
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (14, 2005, 16, NULL, NULL, '<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (15, 2006, 14, '<NAME>', '<NAME>', '<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (16, 2007, 9, '<NAME>', NULL, '<NAME>', NULL, 'Lee Gordon');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (17, 2008, 10, '<NAME>', NULL, '<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (18, 2009, 9, '<NAME>', NULL, '<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (19, 2010, 12, '<NAME>', NULL, '<NAME>', NULL, 'Lee Gordon');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (20, 2011, 12, '<NAME>', NULL, '<NAME>', NULL, 'Tom<NAME>ordon');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (21, 2012, 15, '<NAME>', NULL, '<NAME>', NULL, 'Lee Gordon');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (22, 2013, 15, '<NAME>', NULL, '<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (23, 2014, 14, '<NAME>', NULL, '<NAME>', NULL, '<NAME>son');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (24, 2015, 13, '<NAME>', NULL, '<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (25, 2016, 12, '<NAME>', NULL, '<NAME>', NULL, 'Kar<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (26, 2017, 11, '<NAME>', NULL, 'L<NAME>ordon', NULL, 'Karl Brazier');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (27, 2018, 13, '<NAME>/<NAME>', NULL, 'Pete Nyland/Fr<NAME>', NULL, '<NAME>');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (28, 2019, 14, '<NAME>/Fr<NAME>', NULL, '<NAME>', NULL, 'Pete Nyland/Frank Rowe');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (29, 2020, 13, '<NAME>', NULL, '*Abandoned', NULL, '*Abandoned');
INSERT INTO "history" ("historyId", "year", "teams", "league1", "league2", "cup", "plate", "leagueCup") VALUES (30, 2021, 12, '<NAME>', NULL, '<NAME>', NULL, 'Lee Gordon');
|
<reponame>Romsmomm/GitForDBAs<filename>migrations/V3.1__ILikeDags.sql<gh_stars>1-10
CREATE TABLE ILikeDags (
ILikeDagsId INT IDENTITY NOT NULL,
Declaration nvarchar(1000) NULL,
CONSTRAINT PK_ILikeDags PRIMARY KEY CLUSTERED (ILikeDagsId)
);
|
<reponame>tizian/Cendric2
-- <NAME>
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('DestroyBlocks', 'speech','Destroy these rocks with your weapon so we can move on!','Zerstöre diese Felsen mit deiner Waffe, dass wir weitergehen können!','Zestör die Felse mit dinere Waffe so dasmer wiiter chömed!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('SpikesAreBad', 'speech','I don''t think you should destroy those, though...','Diese hier solltest du aber besser nicht zerstören...','Aber die da sötsch glaub besser nid zerstöre...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('FindAWay', 'speech','Do you think you could get up there and get that potion?','Glaubst du, du kommst hier hoch und kannst diesen Trank holen?','Wa meinsch, chunsch echt da ufe und chasch de Trank det hole?');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KillRats', 'speech','Oh, watch out for these two big rats over there! They can bite quite violently.','Oh, pass auf! Dort drüben sind zwei Ratten und die können ziemlich heftig zubeissen.','Oh, pass uf! Det enne sind zwei Ratte wo zimli heftig bisse chönd.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('IAmLeaving', 'speech','There must be a nest somewhere... Let''s leave this place.','Hier muss es irgendwo ein Nest geben... Gehen wir hier besser raus.','Da mueses irgendwo es Nest gä... Gömmer besser weg vo da.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('GoodJob', 'speech','Good job!','Gut gemacht!','Guet gmacht!');
-- Zeff
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Argh', 'speech','Aaargh!','Aaargh!','Aaargh!');
-- Observer/Warden
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('ObserverWarning', 'speech','Stop! Don''t try this again.','Stopp! Versuch das nicht nochmal.','Stop! Probier das nid namal.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('ObserverTriggered', 'speech','Thief caught!','Dieb erwischt!','Dieb verwütscht!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('WardenTriggered', 'speech','Trespasser eliminated!','Eindringling eliminiert!','Iidringling eliminiert!');
-- Prisoner
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('SoExhausted', 'speech','I''m so exhausted...','Ich bin so müde...','Ich bi so kabutt...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('WorkWork', 'speech','Work, always work...','Arbeit, immer Arbeit...','Schaffe, immer schaffe...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('WatchIt', 'speech','Hey, watch it!','Hey, pass auf!','He, pass uf!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('NeedABreak', 'speech','I need
a break...','Ich brauche
eine Pause...','Ich bruuch
e Pause...');
-- Mercenaries
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('MorgianaStart', 'speech','Now I''ll beat you up!','Jetzt gibt''s was mit der groben Kelle!', 'Jetz chnüppli di abe!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('RoyStart', 'speech','Die.','Stirb.', 'Stirb.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('RoyJeremyDead', 'speech','*laughs*','*lacht*', '*lacht*');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('RoyMorgianaDead', 'speech','*laughs*','*lacht*', '*lacht*');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('MorgianaJeremyDead', 'speech','Your shuriken will be useful!','Dein Wurfstern wird nützlich sein!', 'Din Wurfstern wird nützlich sii!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('MorgianaRoyDead', 'speech','I will avenge you!','Ich werde dich rächen!', 'Ich wird dich räche!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('JeremyRoyDead', 'speech','Finally.','Endlich.', 'Entlich.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('JeremyMorgianaDead', 'speech','I always wanted your amulet.','Dein Amulett wollte ich schon immer.', 'Dis Amulett hani scho immer wele.');
-- Leeroy
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Leeroy', 'speech','LEEEEEEEEROY!','LEEEEEEEEROY!', 'LEEEEEEEEROY!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Chicken', 'speech','At least I got chicken...','Wenigstens hab ich ein Hühnchen gehabt...', 'Wenigstens hani es Güggeli gha...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('LeeroyDidIt', 'speech','We did it! Unbelievable!','Wir haben es geschafft! Unglaublich!', 'Mir hends gschafft! Unglaublich!');
-- Koray
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayStart', 'speech','It''s stuck in this tree, I can already see it.','Es hat sich in diesem Baum verfangen, ich kann es schon sehen.', 'Es het sich i dem Baum verfange, ich gses scho.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayStart2', 'speech','But how can we get up there?','Aber wie kommen wir da rauf?', 'Aber wie chömemo da ue?');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayPiranhas', 'speech','Great ice magic! But there are even more piranhas.','Solide Eismagie! Aber da hat''s noch mehr Piranhas.', 'Solidi Iismagie! Aber do hets na me Piranhas.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayTricky', 'speech','Now it''s getting tricky...','Jetzt wird''s knifflig...', 'Jetz wird''s knifflig...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KoraySoon', 'speech','We''re getting closer...','Bald haben wir''s.', 'Bald hemmos.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayLetMe', 'speech','Heh. Let me handle this.','Heh. Das werde ich übernehmen.', 'Heh. Das übernimm ich.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayThere', 'speech','There it is! Let''s get it.','Da ist es! Holen wir''s.', 'Do isches! Holemers.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KoraySpell', 'speech','Perfect. Now a little bit of magic...', 'Perfekt. Jetzt ein wenig Magie...', 'Perfekt. Jetzt es bitzli Magie...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayGotIt', 'speech','Got it. Thank you!', 'Ich hab''s. Danke!', 'Ich hans. Mersi!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayTelekinesis', 'speech','You''ve seen how it''s done.', 'Du hast gesehen, wie man''s macht.', 'Du hesch gse wemes macht.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayTelekinesis2', 'speech','That should be enough. See you later!', 'Das sollte genügen. Bis später!', 'Das sött lange. Bis susch mol!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('KorayBye', 'speech','Bye!', 'Tschüss!', 'Tschüssli!');
-- Yaslaw
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw1', 'speech','Wh... what...','W... was...', 'W... was...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw2', 'speech','(Coughs) I shouldn''t be alive.','(Hustet) Ich sollte nicht leben.', '(Huestet) Ich söt nid lebe.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw3', 'speech','...','...', '...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw4', 'speech','I shouldn''t have disgruntled my demon...','Ich hätte meinen Dämon nicht verärgern sollen...', 'Ich het min Dämon nid verärgere söle...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw5', 'speech','I should have fled...','Ich hätte flüchten sollen...', 'Ich het abhaue söle...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw6', 'speech','But I forgot my mask.','Aber ich habe meine Maske vergessen.', 'Aber ich ha mini Maske vergesse.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw7', 'speech','Ah, yes, my fine mask.','Ah, ja, meine herrliche Maske.', 'Ah, ja, mini herrlich Maske.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw8', 'speech','It''s too late now.','Es ist jetzt zu spät.', 'Es isch ez z''spot.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('Yaslaw9', 'speech','(Sighs)','(Seufzt)', '(Süüfzt)');
-- King Logan III
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('King1', 'speech','Aaaaah!','Aaaaah!', 'Aaaaah!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('King2', 'speech','How d''you like this?','Wie schmeckt dir das?', 'We findsch das?');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('King3', 'speech','Just die already!','Stirb endlich!', 'Stirb endlich!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('King4', 'speech','Hahahahah!','Hahahahah!', 'Hahahahah!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('King5', 'speech','Kill him!','Tötet ihn!', 'Töted ihn!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('King6', 'speech','How''s that possible?','Wie ist das möglich?', 'We isch das mögli?');
-- Velius
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusStart', 'speech','It will be
over soon.','Es wird bald
vorbei sein.', 'Es wird bald
verbii si.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusDeath', 'speech','No! It should not
end like this...','Nein! Es sollte
nicht so enden...', 'Nei! Es söt nid
so ände...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusHit', 'speech','Aah!','Aah!', 'Aah!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusHaha', 'speech','Hahahah!','Hahahah!', 'Hahahah!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusKorayCall', 'speech','We''ll start with
that thief.','Beginnen wir mit
diesem Dieb.', 'Fangemer mit dem
Dieb ah.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusKorayDead', 'speech','So weak...','So schwach...', 'So schwach...');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusRobertCall', 'speech','You''re next!','Du bist dran!', 'Du bisch dra!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusRobertDead', 'speech','Hahahah!','Hahahah!', 'Hahahah!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusIninaCall', 'speech','Come over here!','Komm her!', 'Chum da ane!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusIninaDead', 'speech','What a good girl.','Was für ein braves Mädchen.', 'Sones bravs Meitli.');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusCendricCall', 'speech','Prepare to die!','Mach dich bereit, zu sterben!', 'Mach dich parat, z''sterbe!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusCendricDead', 'speech','Finally!','Endlich!', 'Endlich!');
INSERT INTO text (text_id, text_type, english, german, swiss_german) values ('VeliusEnough', 'speech','Enough!','Genug!', 'Gnueg!'); |
-- Exported from QuickDBD: https://www.quickdatabasediagrams.com/
-- NOTE! If you have used non-SQL datatypes in your design, you will have to change these here.
CREATE TABLE "Employees" (
"emp_id" INT NOT NULL,
"birth_date" VARCHAR NOT NULL,
"first_name" VARCHAR NOT NULL,
"last_name" VARCHAR NOT NULL,
"gender" VARCHAR NOT NULL,
"hire_date" VARCHAR NOT NULL,
CONSTRAINT "pk_Employees" PRIMARY KEY (
"emp_id"
)
);
CREATE TABLE "Departments" (
"dept_id" VARCHAR NOT NULL,
"dept_name" VARCHAR NOT NULL,
CONSTRAINT "pk_Departments" PRIMARY KEY (
"dept_id"
)
);
CREATE TABLE "Dept_emp" (
"emp_id" INT NOT NULL,
"dept_id" VARCHAR NOT NULL,
"from_date" VARCHAR NOT NULL,
"to_date" VARCHAR NOT NULL
);
CREATE TABLE "Dept_manager" (
"dept_id" VARCHAR NOT NULL,
"emp_id" INT NOT NULL,
"from_date" VARCHAR NOT NULL,
"to_date" VARCHAR NOT NULL
);
CREATE TABLE "Salaries" (
"emp_id" INT NOT NULL,
"salary" INT NOT NULL,
"from_date" VARCHAR NOT NULL,
"to_date" VARCHAR NOT NULL
);
CREATE TABLE "Titles" (
"emp_id" INT NOT NULL,
"title" VARCHAR NOT NULL,
"from_date" VARCHAR NOT NULL,
"to_date" VARCHAR NOT NULL
);
ALTER TABLE "Dept_emp" ADD CONSTRAINT "fk_Dept_emp_emp_id" FOREIGN KEY("emp_id")
REFERENCES "Employees" ("emp_id");
ALTER TABLE "Dept_emp" ADD CONSTRAINT "fk_Dept_emp_dept_id" FOREIGN KEY("dept_id")
REFERENCES "Departments" ("dept_id");
ALTER TABLE "Dept_manager" ADD CONSTRAINT "fk_Dept_manager_dept_id" FOREIGN KEY("dept_id")
REFERENCES "Departments" ("dept_id");
ALTER TABLE "Dept_manager" ADD CONSTRAINT "fk_Dept_manager_emp_id" FOREIGN KEY("emp_id")
REFERENCES "Employees" ("emp_id");
ALTER TABLE "Salaries" ADD CONSTRAINT "fk_Salaries_emp_id" FOREIGN KEY("emp_id")
REFERENCES "Employees" ("emp_id");
ALTER TABLE "Titles" ADD CONSTRAINT "fk_Titles_emp_id" FOREIGN KEY("emp_id")
REFERENCES "Employees" ("emp_id");
|
<reponame>SuperV1234/veeForum
#########################################################################################
# TABLE
# * This table deals with attachments, a type of content.
#########################################################################################
# HIERARCHY
# * Derives from: tbl_content_base
#########################################################################################
create table tbl_content_attachment
(
# Primary key
id int auto_increment primary key,
# Creation data
id_base int not null,
# Parent post
id_post int not null,
# File data
id_file_data int not null,
foreign key (id_base)
references tbl_content_base(id)
on update cascade
on delete cascade,
foreign key (id_post)
references tbl_content_post(id)
on update no action
on delete no action,
foreign key (id_file_data)
references tbl_file_data(id)
on update no action
on delete no action
)$
#########################################################################################
|
<reponame>Dr0na/eva-projects-service
DROP TABLE IF EXISTS projects;
DROP TABLE IF EXISTS taxonomies;
CREATE TABLE taxonomies (
taxonomy_id INT PRIMARY KEY,
taxonomy_common_name VARCHAR(50) NOT NULL,
taxonomy_scientific_name VARCHAR(250) NOT NULL
);
CREATE TABLE projects (
project_id VARCHAR(25) PRIMARY KEY,
title VARCHAR(250) NOT NULL,
description VARCHAR(3000) NOT NULL,
source_type VARCHAR(50) NOT NULL,
study_type VARCHAR(50) NOT NULL,
eva_center_name VARCHAR(250),
center_name VARCHAR(200) NOT NULL,
taxonomy_id INT,
CONSTRAINT FK_PROJECTS_TAXONOMIES FOREIGN KEY (taxonomy_id) REFERENCES taxonomies(taxonomy_id)
);
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(10088, 'Mouse', 'Mus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(10116, 'Rat', 'Rattus norvegicus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(112268, 'Mosquito', 'Anopheles minimus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(112509, 'Barley', 'Hordeum vulgare subsp. vulgare');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(139723, 'Mosquito', 'Anopheles culicifacies');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(199890, 'Mosquito', 'Anopheles epiroticus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(215358, 'Large yellow croaker', 'Larimichthys crocea');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(30066, 'Mosquito', 'Anopheles merus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(30069, 'Mosquito', 'Anopheles stephensi');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(30523, 'Cow', 'Bos taurus x Bos indicus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(30524, 'Cow, Goat, Sheep', 'Bos taurus, Bos taurus x Bos indicus, Capra hircus, Ovis aries, Ovis aries musimon, Ovis orientalis, Ovis vignei');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(34506, 'Rat threadworm', 'Strongyloides ratti');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(34690, 'Mosquito', 'Anopheles melas');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(34691, 'Mosquito', 'Anopheles quadriannulatus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(3702, 'Thale cress', 'Arabidopsis thaliana');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(3885, 'Common bean', 'Phaseolus vulgaris');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(39947, 'Rice', 'Oryza sativa Japonica Group');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(4081, 'Tomato', 'Solanum lycopersicum');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(4530, 'Rice', 'Oryza sativa');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(4557, 'Sorghum', 'Sorghum');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(4577, 'Maize', 'Zea mays');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(469796, 'Sheep', 'Ovis orientalis');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(4896, 'Fission yeast', 'Schizosaccharomyces pombe');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(59896, 'Sheep', 'Ovis vignei');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(60711, 'Vervet monkey', 'Chlorocebus sabaeus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(6183, 'Blood fluke', 'Schistosoma mansoni');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(62324, 'Mosquito', 'Anopheles funestus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(69004, 'Mosquito', 'Anopheles farauti');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(7159, 'Mosquito', 'Aedes aegypti');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(7165, 'Mosquito', 'Anopheles gambiae');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(7173, 'Mosquito', 'Anopheles arabiensis');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(74873, 'Mosquito', 'Anopheles sinensis');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(7955, 'Zebrafish', 'Danio rerio');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9606, 'Human', 'Homo sapiens');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9796, 'Horse', 'Equus caballus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9823, 'Pig', 'Sus scrofa');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9913, 'Cow', 'Bos taurus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9923, 'Goat', 'Capra aegagrus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9925, 'Goat', 'Capra hircus');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9935, 'Sheep', 'Ovis');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9938, 'Sheep', 'Ovis aries musimon');
INSERT INTO taxonomies(taxonomy_id, taxonomy_common_name, taxonomy_scientific_name) VALUES(9940, 'Sheep', 'Ovis aries');
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6042', 'GEUVADIS: Genetic European Variation in Disease', 'GEUVADIS: Genetic European Variation in Disease (http://www.geuvadis.org), is a European Medical Sequencing Consortium aiming at sharing capacity across Europe in high-throughput sequencing technology to explore genetic variation in health and disease. It is funded by the European Commission 7th framework program under the Coordination and Support Action scheme. It started on the 1st October 2010, and ends on 31st December 2013. The project Coordinator is <NAME> from Center for Genomic Regulation, Barcelona.', 'Germline', 'Aggregate', 'Center for Genomic Regulation - CRG (Barcelona); Institute of Human Genetics - Helmholtz Zentrum (Munich)', 'Center for Genomic Regulation - CRG (Barcelona), Institute of Human Genetics - Helmholtz Zentrum (Munich)', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB629', 'Sequencing of five barley cultivars.', 'Hordeum vulgare subsp. vulgare', 'Germline', 'Control Set', NULL, 'IPK-Gatersleben', 112509);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB3025', 'Whole genome shotgun survey sequencing of Barley cv. Igri for de novo assembly of gene-space', 'Variation data is shown from four cultivar (Barke, Bowman, Igri, Haruna Nijo) and a wild barley (H. spontaneum).', 'Germline', 'Control Set', 'Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466 Seeland OT Gatersleben, Germany; Leibniz Institute of Age Research- Fritz Lipmann Institute (FLI), D-07745 Jena, Germany', 'IPK-Gatersleben', 112509);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB3042', 'Whole genome shotgun survey sequencing of Barley cv. Haruna Nijo for de novo assembly of gene-space', 'Variation data is shown from four cultivar (Barke, Bowman, Igri, Haruna Nijo) and a wild barley (H. spontaneum).', 'Germline', 'Control Set', 'Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466 Seeland OT Gatersleben, Germany; Leibniz Institute of Age Research- Fritz Lipmann Institute (FLI), D-07745 Jena, Germany', 'IPK-Gatersleben', 112509);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB5978', 'NextGen project variation for Capra aegagrus', 'Variation site discovery and genotype calls in the genus Capra (goat) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options).', 'Germline', 'Control Set', NULL, 'EBI', 9923);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6024', 'Sheep EVA Tax ID 9940 update', 'Variation site discovery and genotype calls in the genus Ovis (sheep) (Tax ID 9940) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB3041', 'Whole genome shotgun survey sequencing of Barley cv. Barke for de novo assembly of gene-space', 'Variation data is shown from four cultivar (Barke, Bowman, Igri, Haruna Nijo) and a wild barley (H. spontaneum).', 'Germline', 'Control Set', 'Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466 Seeland OT Gatersleben, Germany; Leibniz Institute of Age Research- Fritz Lipmann Institute (FLI), D-07745 Jena, Germany', 'IPK-Gatersleben', 112509);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB3027', 'Whole genome shotgun survey sequencing of Barley cv. Morex for de novo assembly of gene-space', 'Barley (Hordeum vulgare L.) is amongst the oldest domesticated crop plants and remains one of the world''s most important crop species. It is diploid with a haploid genome of 5.1 gigabases (Gb), twice the size of those of human and maize, and closely related to the most widely grown crop, hexaploid wheat. To meet global demand for food, feed and fibre, it is commonly agreed that reference genome sequences of our crop plants are urgently required to enable genome-assisted crop improvement. In the framework of the The International Barley Genome Sequencing Consortium (IBSC) we present here the whole genome shotgun rawdata of different barley cultivars and genotypes to build a physical ordered genetic and functional sequence resource.', 'Germline', 'Control Set', 'Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466 Seeland OT Gatersleben, Germany; Leibniz Institute of Age Research- Fritz Lipmann Institute (FLI), D-07745 Jena, Germany', 'IPK-Gatersleben', 112509);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB3040', 'Whole genome shotgun survey sequencing of Barley cv. Bowman for de novo assembly of gene-space', 'Variation data is shown from four cultivar (Barke, Bowman, Igri, Haruna Nijo) and a wild barley (H. spontaneum).', 'Germline', 'Control Set', 'Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466 Seeland OT Gatersleben, Germany; Leibniz Institute of Age Research- Fritz Lipmann Institute (FLI), D-07745 Jena, Germany', 'IPK-Gatersleben', 112509);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6911', 'Sanger Institute Mouse Genomes Project v3', 'SNP and INDEL calls from version 3 of the Mouse Genome Project at the Wellcome Trust Sanger Institute. Specifically, this project describes the variants of 18 mouse strains (129P2, 129S1, 129S5, A/J, AKR/J, BALB/cJ, C3H/HeJ, C57BL/6NJ, CAST/EiJ, CBA/J, DBA/2J, FVB/NJ, LPJ, NOD/ShiLtJ, NZOHILtJ, PWK/PhJ, SPRET/EiJ, WSB/EiJ) called against the reference mouse genome sequence GRCm38.', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 10088);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6506', 'NextGen project variation for Ovis vignei (sheep)', 'Variation site discovery and genotype calls in the genus Ovis vignei (sheep) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 59896);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7217', 'UK10K Avon Longitudinal Study of Parents and Children (ALSPAC) Variants', 'The UK10K project proposes a series of complementary genetic approaches to find new low-frequency/rare variants contributing to disease phenotypes. These will be based on obtaining the genome-wide sequence of 4000 samples from the Department of Twin Research and Genetic Epidemiology (TwinsUK) and Avon Longitudinal Study of Parents and Children (ALSPAC) cohorts (at 6x sequence coverage), and the exome sequence (protein-coding regions and related conserved sequence) of 6000 samples selected for extreme phenotypes. This project describes the variants identified from the ALSPAC study. For further information with regard to this cohort please contact <NAME> (<EMAIL>) or <NAME> (<EMAIL>).', 'Germline', 'Control Set', 'Wellcome Trust Sanger Institute', 'SC', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7923', 'Vervet Genetic Mapping Project', 'The Vervet Genetic Mapping Project (VGMP) devloped genomic tools and resources for genetic trait maping in vervet monkey (AKA African green monkey). This project generated genome-wide SNP panels dedicated specifically for genetic mapping in Caribbean-origin sabaeus vervets (Chlorocebus aethiops sabaeus). The Assocation Mapping Panel comprises of ~500K SNPs (r2=0.9). The Linkage Mapping Panel comprises of ~150K SNPs (r2=0.5).', 'Germline', 'Control Set', NULL, 'University of California Los Angeles', 60711);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB8636', 'deCODE Genetics Whole-Genome Sequencing Variants', 'Autosomal sequence variants identified in deCODE''s whole-genome sequencing of 2,636 Icelanders', 'Germline', 'Control Set', NULL, 'deCODE Genetics', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9373', 'A multipurpose high throughput SNP chip for the dengue and yellow fever mosquito, Aedes aegypti', 'Genotyping of multiple Aedes aegypti mosquito populations worldwide using a novel SNP chip.', 'Germline', 'Control Set', NULL, 'Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06511, USA', 7159);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB8639', 'GenomeDK Release 1 SoapAsmVar-Indels calls', 'This is an aggregate vcf of SoapAsmVar Indels calls (10nt-50nt) from 10 trios sequenced to high depth from the first phase Danish Pangenome project', 'Germline', 'Control Set', NULL, 'Technical University of Denmark; Aarhus University; Copenhagen University; BGI-Europe', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9507', 'Whole-genome Sequencing Reveals Untapped Genetic Potential in Sorghum', 'These data report 8 M high-quality SNPs, 1.9 M indels and specific gene loss and gain events in S. bicolor.', 'Germline', 'Control Set', NULL, 'Fisheries and Forestry Queensland', 4557);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9857', 'Prognostic factors of early response to TKI in chronic myeloid leukemia by whole exome sequencing', 'Chronic myeloid leukemia can be well controlled by targeted tyrosine kinase inhibitors (TKI). However there is about 10% of patients with primary resistance or low efficacy of the therapy. In our study we found promissing new potential early prognostic markers and molecular targets for developing new drugs. ', 'Germline', 'Case Control', NULL, 'Federal State Budgetary Institution «Research Centre For Medical Genetics», Moscow, Russia', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB8650', 'GenomeDK Release 1 SNV calls', 'This is an aggregate vcf of GATK SNV calls from 10 trios sequenced to high depth from the first phase Danish Pangenome project', 'Germline', 'Control Set', NULL, 'Technical University of Denmark; Aarhus University; Copenhagen University; BGI-Europe', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB8652', 'GenomeDK Release 1 GATK-Indels calls', 'This is an aggregate vcf of GATK Indels calls from 10 trios sequenced to high depth from the first phase Danish Pangenome project', 'Germline', 'Control Set', NULL, 'Technical University of Denmark; Aarhus University; Copenhagen University; BGI-Europe', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB8661', 'The Exome Aggregation Consortium (ExAC) v0.3', 'The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community.', 'Germline', 'Control Set', NULL, 'The Eli and Edythe L. Broad Institute of Harvard and MIT', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9858', 'Prognostic factors of stable remission after cessation of TKI therapy in chronic myeloid leukemia by whole exome sequencing', 'Chronic myeloid leukemia can be well controlled by targeted tyrosine kinase inhibitors (TKI). In some patients it is possible to terminate expensive and toxic long-life therapy, however about 50% of these patients relapse without treatment. In our study we found promissing new potential early prognostic markers and molecular targets for developing new drugs.', 'Germline', 'Case Control', NULL, 'Federal State Budgetary Institution «Research Centre For Medical Genetics», Moscow, Russia', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7378', 'NextGen project variations for Ovis (sheep)', 'Variation site discovery and genotype calls in the genus Ovis (sheep) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options).', 'Germline', 'Control Set', NULL, 'EBI', 9935);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9656', 'Prognostic factors of early response to TKI and remission stability in chronic myeloid leukemia by whole exome sequencing', 'Chronic myeloid leukemia can be well controlled by targeted tyrosine kinase inhibitors (TKI). In some patients it is possible to terminate expensive and toxic long-life therapy, however about 50% of these patients relapse without treatment. There are also about 10% of patients with primary resistance or low efficacy of the therapy. In our study we found promising new potential early prognostic markers and molecular targets for developing new drugs.', 'Germline', 'Case Control', NULL, 'Federal State Budgetary Institution «Research Centre For Medical Genetics», Moscow, Russia', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB8705', 'MGP: Medical Genome Project healthy controls from Spanish population', 'MGP contains aggregated information on 267 healthy individuals, representative of the Spanish population that were used as controls in the MGP (Medical Genome Project; http://www.medicalgenomeproject.com)', 'Germline', 'Control Set', NULL, 'GBPA (http://www.gbpa.es/); CIPF (http://bioinfo.cipf.es/); IBIS (http://www.ibis-sevilla.es/)', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6930', '1000 Genomes Project phase3 release V3+', 'This submission contains variant sites and phased genotypes for all autosomes (excluding a 3Mbps region on chromosome 12 between 7M and 10M) derived from the 1000 Genomes Project phase3 sequence data. ~3400 unphased sites were removed from the submission while they are being investigated. The missing data on chromosome 12 are being patched up and will be submitted at a later time together with the sex chromosomes. This data set is based on 20130502 sequence freeze and alignments; which were collected from 2504 unrelated individuals from 26 populations. The analysis was run using only Illumina platform sequence and only considered sequence with read lengths of 70bp or greater.', 'Germline', 'Control Set', NULL, 'EBI', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6040', 'UK10K', 'The UK10K project proposes a series of complementary genetic approaches to find new low-frequency/rare variants contributing to disease phenotypes. These will be based on obtaining the genome-wide sequence of 4000 samples from the TwinsUK and ALSPAC cohorts (at 6x sequence coverage), and the exome sequence (protein-coding regions and related conserved sequence) of 6000 samples selected for extreme phenotypes. Our studies will focus primarily on cardiovascular-related quantitative traits, obesity and related metabolic traits, neurodevelopmental disorders and a limited number of extreme clinical phenotypes that will provide proof-of-concept for future familial trait sequencing. We will directly analyse quantitative traits in the cohorts and the selected traits in the extreme samples, and also use imputation down to 0.1% allele frequency to extend the analyses to further sample sets with genome wide genotype data. In each case we will investigate indels and larger structural variants as well as SNPs, and use statistical methods that combine rare variants in a locus or pathway as well as single-variant approaches. The TwinsUK samples will be part of the cohort study and will undergo whole genome sequencing. For further information with regard to this cohort please contact <NAME> (<EMAIL>) or <NAME> (<EMAIL>).', 'Germline', 'Control Set', 'Wellcome Trust Sanger Institute', 'SC', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6902', 'Complete Genomics 69 Genomes', 'A list of all of the variants in the set of 69 Complete Genomics genomes, generated using the CGA Tools (v1.5) listvariants command', 'Germline', 'Control Set', NULL, 'Complete Genomics', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB5966', 'Sheep EVA Tax ID 9940', 'Variation site discovery and genotype calls in the genus Ovis (sheep) (Tax ID 9940) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6025', 'NextGen project variation for Ovis aries', 'Variation site discovery and genotype calls in the genus Ovis (sheep) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB5829', 'Genome of the Netherlands Release 5', 'GoNL: Genome of the Netherlands Release 5', 'Germline', 'Control Set', 'The University Medical Center Groningen; Leiden University Medical Center; Erasmus Medical Center; Vrije Universiteit Amsterdam; University Medical Centre Utrecht', 'The University Medical Center Groningen, Leiden University Medical Center, Erasmus Medical Center, Vrije Universiteit Amsterdam, University Medical Centre Utrecht', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB5967', 'Sheep EVA Tax ID 9938', 'Variation site discovery and genotype calls in the genus Ovis (sheep) (Tax ID 9938) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 9938);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB4395', 'Whole genome re-sequencing in tomato', 'Whole genome re-sequencing in tomato reveals variation associated with introgression and breeding events. Here we describe the whole-genome resequencing of eight tomato samples chosen to represent a large range of intra-specific variability and the identification and annotation of novel polymorphisms.Comparison of the sequences with the reference genome yielded more than 4 million single nucleotide polymorphisms (SNPs) and almost 128,000 InDels were detected.This study represents the first whole genome resequencing experiment in cultivated tomato.', 'Germline', 'Control Set', NULL, 'Institut National de la Recherche Agronomique - France', 4081);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB4019', '1000 Genomes Phase 1 Analysis', 'Variant discovery and individual genotypes for 1092 individuals from the 1000 Genomes Project Phase 1 data release. This accession is a snapshot, as of June 26, 2013, of directory ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/phase1/analysis_results/integrated_call_sets Individual level genotype information is contained in a separate .vcf file for each chromosome; the variant site information (first eight columns of .vcf format) is also collected in a single sites-only .vcf file. The .vcf version 4.1 file format is described at http://www.1000genomes.org/wiki/Analysis/Variant%20Call%20Format/vcf-variant-call-format-version-41 Variant discovery and genotyping are based on both low coverage whole genome sequencing and deep coverage exon capture sequencing by the 1000 Genomes Project. The Phase 1 low coverage sequencing was done between 2008 and 2010 using Illumina (86.4%), AB SOLiD (13%) and Roche LS 454 (0.6%) sequencing technologies, with a raw sequencing data freeze date of Nov 23, 2010. Exon capture sequencing was done in 2010 and early 2011, using either the NimbleGen SeqCap_EZ_Exome_v2 or Agilent SureSelect_All_Exon_V2 exome capture reagents, with a freeze date of May 21, 2011. After filtering, variant site discovery yields a total of 38 M SNPs, 1.4 M short indels and 14 K large deletions (longer than 50 bp). The short indels and large deletions in particular have been stringently filtered in order to achieve the project goal of not more than 5% false discovery rate. All coordinates are relative to the GRCh37 human genome reference sequence. Site discovery and genotyping for SNPs are based on both low coverage and exome capture sequence data; for short indels, only low coverage data, and for large deletions, only the 946 individuals with Illumina low coverage sequence data are used. As a final step, statistical genotype imputation using the linkage disequilibrium between nearby sites refines the individual genotypes and merges information from all three variant types. Details of data generation and processing for this data set are given in supplementary material to the 1000 Genomes Phase 1 paper: 1000 Genomes Project Consortium, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME> (2012). An integrated map of genetic variation for 1,092 human genomes. Nature, v.491, n.7422, pp.56-65, Nov 1, 2012, PMID: 23128226, doi: 10.1038/nature11632. Further details and supporting data are in other subdirectories under: ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/phase1', 'Germline', 'Control Set', 'The 1000 Genomes Project Consortium', '1000 Genomes Project', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6033', 'NextGen project variation for Ovis (sheep) (Tax ID 9938)', 'Variation site discovery and genotype calls in the genus Ovis (sheep) (Tax ID 9938) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 9938);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6119', 'NextGen project variation for Bos taurus', 'Variation site discovery and genotype calls in the genus Bos (cattle) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options).', 'Germline', 'Control Set', NULL, 'EBI', 9913);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7218', 'UK10K The Department of Twin Research and Genetic Epidemiology (TwinsUK) Variants', 'The UK10K project proposes a series of complementary genetic approaches to find new low-frequency/rare variants contributing to disease phenotypes. These will be based on obtaining the genome-wide sequence of 4000 samples from the Department of Twin Research and Genetic Epidemiology (TwinsUK) and Avon Longitudinal Study of Parents and Children (ALSPAC) cohorts (at 6x sequence coverage), and the exome sequence (protein-coding regions and related conserved sequence) of 6000 samples selected for extreme phenotypes. This project describes the variants identified from the TwinsUK study. For further information with regard to this cohort please contact <NAME> (<EMAIL>) or <NAME> (<EMAIL>).', 'Germline', 'Control Set', 'Wellcome Trust Sanger Institute', 'SC', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7061', 'NextGen project variation for Bos taurus x Bos indicus', 'Variation site discovery and genotype calls in the genus Bos (cattle) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options).', 'Germline', 'Control Set', NULL, 'EBI', 30523);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6057', 'NextGen project variation for Capra hircus', 'Variation site discovery and genotype calls in the genus Capra (goat) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options).', 'Germline', 'Control Set', NULL, 'EBI', 9925);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7723', 'Biology of Rare Alleles in Maize', 'This project improves our understanding of the genetic architecture of complex traits in maize and its wild relative, teosinte. Maize has a combination of life history, economic and societal value, and genetic tools that make it uniquely suited to studying genetic architecture. Additionally, the ability of molecular and population genetic polymorphism descriptors to aid identifcation of functional rare alleles is also a key outcome of this project as is the prediction of phenotype from genotype in diverse maize cultivars.', 'Germline', 'Control Set', NULL, 'Cornell University', 4577);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7894', 'Genetic divergence between Anopheles gambiae M and S forms', 'Genotyping of Anopheles gambia M and S form mosquitoes from African populations collected at Yaounde (Cameroon), Dodow (Ghana), Tororo (Uganda) and Antula (Guinea-Bissau).', 'Germline', 'Control Set', NULL, 'Liverpool School of Tropical Medicine; Address: Pembroke Place, Liverpool, L35QA', 7165);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6495', 'NextGen project variation for Ovis orientalis', 'Variation site discovery and genotype calls in the genus Ovis (sheep) by the NEXTGEN project (Next generation methods to preserve farm animal diversity by optimizing present and future breeding options)', 'Germline', 'Control Set', NULL, 'EBI', 469796);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7895', 'The National FINRISK Study', 'The FINRISK cohorts comprise the respondents of representative, cross-sectional population surveys that are carried out every 5 years since 1972, to assess the risk factors of chronic diseases (e.g. CVD, diabetes, obesity, cancer) and health behavior in the working age population, in 3-5 large study areas of Finland. DNA samples were collected in the following survey years: 1987, 1992, 1997, 2002, 2007, and 2012.', 'Germline', 'Aggregate', NULL, 'Institute for Molecular Medicine Finland', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB5439', 'Exome Variant Server NHLBI Exome Sequencing Project', 'The goal of the NHLBI GO Exome Sequencing Project (ESP) is to discover novel genes and mechanisms contributing to heart, lung and blood disorders by pioneering the application of next-generation sequencing of the protein coding regions of the human genome across diverse, richly-phenotyped populations and to share these datasets and findings with the scientific community to extend and enrich the diagnosis, management and treatment of heart, lung and blood disorders.', 'Germline', 'Aggregate', 'University of Michigan; The Broad Institute', 'University of Michigan and the Broad Institute', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9822', 'Genetic evidence for an origin of the Armenians from Bronze Age mixing of multiple populations', 'Population genetics study of 138 samples looking for genetic evidence of an origin of the Armenians from Bronze Age mixing of multiple populations', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB10956', 'Intra-tumor Genetic Heterogeneity in Rectal Cancer', 'Targetted confirmatory sequencing of heterogenous variants detected by exome sequencing of spatially disparate areas from six rectal tumors', 'Germline', 'Case Set', NULL, 'University of Michigan Medical School', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB12769', 'Diversity of Taiwan rice varieties', 'To study breeding and domestication trace of Taiwan', 'Germline', 'Control Set', NULL, 'IPMB, Academia Sinica', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB10964', 'Whole genome sequencing of elite rice cultivars as a comprehensive information resource for marker assisted selection', 'Whole genome sequencing and bioinformatic analysis of 104 rice cultivars including 54 elite lines from North America and Latin America', 'Germline', 'Control Set', NULL, 'International Center for Tropical Agriculture (CIAT)', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB12771', 'One TRIM line, two diversed phenotype', 'There were two diversed phenotype in one T-DNA insertional line. The project is about to investigate which gene or any factor cause such diversity via genomic tools.', 'Germline', 'Control Set', NULL, 'IPMB, Academia Sinica', 39947);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJX00001', 'Human Variation Data From dbSNP build 144', 'This project contains the human variant data from dbSNP build 144.', 'Germline', 'Aggregate', NULL, 'National Center for Biotechnology Information (NCBI)', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB6041', 'UMCG Cardio GenePanel screening', 'Genetic variants called in individuals screened for heritable cardiomyopathies using the UMCG Cardio GenePanels', 'Germline', 'Case Set', NULL, 'University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB12770', 'Study the somatic variant due to tissue culture and transformation', 'For inspecting the level of the somatic variation from tissue culture and transformation, there were eight treatments applied on rice. The variety is Tainung67 (TNG67), which widely used in genomic study in Taiwan and with a large poplation T-DNA insertional lines, the Taiwan Rice Insertional Mutagenesis (TRIM).', 'Germline', 'Control Set', NULL, 'IPMB, Academia Sinica', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB11471', 'Sanger Institute Mouse Genomes Project v5', 'SNP and INDEL calls from version 5 of the Mouse Genome Project at the Wellcome Trust Sanger Institute. Specifically, this project describes the variants of 36 mouse strains aligned against the reference mouse genome sequence GRCm38.', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 10088);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13086', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles funestus samples.', 'Anopheles funestus subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 62324);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB7898', 'The Exome Aggregation Consortium (ExAC) v0.2', 'The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community.', 'Germline', 'Aggregate', NULL, 'The Eli and Edythe L. Broad Institute of Harvard and MIT', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13625', 'Whole genome resequencing of the human parasite Schistosoma mansoni reveals population history and effects of selection', 'Whole genome sequences of S. mansoni and S. rodhaini aligned to S. masoni v5.2 reference. Samples collected from Africa and Carribean to faciliate coalescence modelling of population history', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 6183);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13080', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles stephensi samples.', 'Anopheles stephensi subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 30069);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14685', 'High quality variant calls from the Sheep genomes project - Run1', 'High quality variant discovery using multiple sheep breeds - Run1: Fastq files were aligned to Ovis aries reference genome version 3.1 using bwa mem. Duplicates were removed using Samtools rmdup. Local realignment around indels was performed using GATK tools RealignerTargetCreator and IndelRealigner. Variant calling on resulting BAM files was conducted independently using both Samtools mpileup and GATK Unified Genotyper. Filters were applied to each of the Samtools and GATK produced VCF files to remove lower quality variants. These filters included remove variants with 2 or more alleles, remove variants never observed on forward or reverse strands, remove variants with overall quality less than phred score 20, remove variants with mapping quality less than phred score 30, remove variants with minimum depth less than 10 across all samples, remove variants with the same base pair position, remove lower quality indel when indels closer than 10 base pairs, remove lower quality variant where variants closer than 3 base pairs, remove SNP within 5bp of an indel. GATK CombineVariants was used to produce a union set of the filtered variants. An intersect set containing those variants concordant between Samtools and GATK predictions was extracted from this union set using GATK SelectVariants to produce the final VCF files. (Software: bwa-0.7.12,GATK-3.4-46,samtools-1.2+htslib-1.2.1)', 'Germline', 'Control Set', NULL, 'ISGC', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14878', 'Recombination in cattle', 'Sex differences in global recombination and genetics of recombination in cattle', 'Germline', 'Control Set', NULL, 'Unit of Animal Genomics, University of Liege, Belgium', 9913);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB11984', 'Somatic Mutations in QIMR Berghofer Melanoma Cell Line Collection Identified using Exome sequencing', 'Somatic mutations were identified in the QIMR Berghofer melanoma cell line collection using exome sequencing and comparing with matched germline', 'Germline', 'Case Control', NULL, 'QIMR', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14879', 'Recombination in cattle - imputed', 'Sex differences in global recombination and genetics of recombination in cattle - imputed variants', 'Germline', 'Control Set', NULL, 'Unit of Animal Genomics, University of Liege, Belgium', 9913);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13083', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles minimus samples.', 'Anopheles minimus subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 112268);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13082', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles quadriannulatus samples.', 'Anopheles quadriannulatus subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 34691);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13084', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles merus samples.', 'Anopheles merus subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 30066);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13517', 'Transcriptome characterization and gene expression analyses of salt-tolerant and salt-sensitive varieties of Pokkali Oryza sativa following exposure to salinity stress', 'Sequence reads from Pokkali, a salt-sensitive variety, were aligned to the reference Japonica genome to the identify single nucleotide polymorphisms', 'Germline', 'Control Set', NULL, 'Oregon State University', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13085', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles melas samples.', 'Anopheles melas subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms. This subsection of the project contains data for Anopheles arabiensis.', 'Germline', 'Control Set', NULL, 'Broad Institute', 34690);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13087', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles farauti samples.', 'Anopheles farauti subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 69004);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13088', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles epiroticus samples.', 'Anopheles epiroticus subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 199890);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13090', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles arabiensis samples.', 'Anopheles arabiensis subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 7173);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14684', 'Raw variant calls from the Sheep genomes project - Run1', 'Raw variant discovery using multiple sheep breeds - Run1: Fastq files were aligned to Ovis aries reference genome version 3.1 using bwa mem. Duplicates were removed using Samtools rmdup. Local realignment around indels was performed using GATK tools RealignerTargetCreator and IndelRealigner. Variant calling on resulting BAM files was conducted independently using both Samtools mpileup and GATK Unified Genotyper. A union set of the Samtools and GATK called variants was produced using GATK CombineVariants to produce the final VCF files. (Software: bwa-0.7.12,GATK-3.4-46,samtools-1.2+htslib-1.2.1)', 'Germline', 'Control Set', NULL, 'ISGC', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14713', 'Whole-genome sequencing expands the mutational spectrum of autism with novel genes, causative CNVs and chromosomal rearrangements', 'Identification of genomic variants from whole-genome sequencing dataset of 32 Chinese trios with autism, including de novo mutations (DNMs), inherited variants, copy number variants (CNVs) and genomic structural variants (SVs).', 'Germline', 'Control Set', NULL, 'Wenzhou Medical University', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13089', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles culicifacies samples.', 'Anopheles culicifacies subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 139723);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13516', 'Transcriptome characterization and gene expression analyses of salt-tolerant and salt-sensitive varieties of IR29 Oryza sativa following exposure to salinity stress', 'Sequence reads from IR29, a salt-sensitive variety, were aligned to the reference Japonica genome to the identify single nucleotide polymorphisms', 'Germline', 'Control Set', NULL, 'Oregon State University', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13081', 'Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes. Anopheles sinensis samples.', 'Anopheles sinensis subset of project sequencing 16 anopheline vector genomes to complement and facilitate comparative analysis with the three other sequenced anophelines, Anopheles gambiae PEST, M and S forms.', 'Germline', 'Control Set', NULL, 'Broad Institute', 74873);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14385', 'Genomic diversity and introgression in O. sativa reveal the impact of domestication and breeding on the rice genome', 'In this study, we utilize a novel 1,536 SNP panel genotyped across 395 diverse accessions of O. sativa to study genome-wide patterns of polymorphism, to characterize population structure, and to infer the introgression history of domesticated Asian rice. ', 'Germline', 'Control Set', NULL, 'Cornell University', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB2733', 'Schizosaccharomyces pombe genetic diversity', 'S.pombe is the "other yeast" genetic model system. All 107 known wild isolates have been collected around the world. 14 have already been sequenced. The aim of the study is to sequence 96 samples (three overlapping with the previously sequenced 14) to generate a genetic diversity resource for S.pombe comparable to that available for S.cerevisiae. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/', 'Germline', 'Control Set', NULL, 'SC', 4896);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14378', 'Genomewide SNP variation reveals relationships among landraces and modern varieties of rice', 'We initiated the OryzaSNP project (www.OryzaSNP.org) to discover genetic variation within 20 rice varieties and landraces. Most varieties belong to the 2 main groups, indica and japonica, including tropical and temperate japonica, whereas others represent the aus, deep water, and aromatic rice groups. Here, we describe the discovery of high-quality, nonredundant SNPs distributed across the entire genomes of the OryzaSNPset.', 'Germline', 'Control Set', NULL, 'International Rice Research Institute', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB14018', 'Whole Genome Sequencing of eight EAC cell lines—ESO26, ESO51, FLO-1, JH-EsoAd1, OACM5.1 C, OACP4 C, OE33, SK-GT-4—and one esophageal high grade dysplasia cell line, CP-D.', 'Esophageal Adenocarcinoma (EAC) is highly mutated and molecularly heterogeneous. The number of cell lines available for study is limited and their genome has been only partially characterized. The availability of an accurate annotation of their mutational landscape is crucial for accurate experimental design and correct interpretation of genotype-phenotype findings. We performed high coverage, paired end whole genome sequencing on eight EAC cell lines—ESO26, ESO51, FLO-1, JH-EsoAd1, OACM5.1 C, OACP4 C, OE33, SK-GT-4—all verified against original patient material, and one esophageal high grade dysplasia cell line, CP-D. We have made available the aligned sequence data and report single nucleotide variants (SNVs), small insertions and deletions (indels), and copy number alterations, identified by comparison with the human reference genome and known single nucleotide polymorphisms (SNPs). We compare these putative mutations to mutations found in primary tissue EAC samples, to inform the use of these cell lines as a model of EAC.', 'Germline', 'Case Control', NULL, 'CRUK CAMBRIDGE RESEARCH INSTITUTE', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB4163', 'Strongyloides ratti genetic diversity', 'The genome sequences of Strongyloides ratti, S. stercoralis, S. papillosus and S. venezuelensis are providing a clear view of genome diversity within this genus. These species include one human parasite, one parasite of veterinary relevance and two species from rodents, used as laboratory models. We now want to better understand this within-genus diversity, by also looking at the genome diversity with one species, specifically S. ratti. There are different isogenic lines of S. ratti available. (These other lines are recently wild, whereas the S. ratti line sequenced so far has a very long history of laboratory adaptation.) Further, phenotypic data from these lines show that they differ in important infection characteristics. These isofemale lines of S. ratti differ in their fecundity (which, for a parasite is key to transmission potential), particularly in the presence of the host immune response (which, in general suppresses nematode reproduction). These line also differ in the extent to which they reproduce by sexual reproduction outside of the host (compared with the alternative, asexual reproduction). Analogously, this trait (sex vs. no sex) is also affected by the host immune response. Together, this means that these S. ratti lines differ in how they respond to the host immune response, which emphasies that this parasite''s interaction with their host is dynamic both on short (i.e. within a worms lifetime) and long (i.e. evolutionary) term time scales. Exploring the genome diversity within this species will therefore begin to illuminate our understanding of these phenotypic differences.', 'Germline', 'Control Set', NULL, 'SC', 34506);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB13618', 'The 3,000 rice genomes project', 'The 3000 Rice Genome Project is an international effort to sequence the genomes of 3,024 rice varieties from 89 countries. The project contains the variant calls of 3000 samples against the Nipponbare reference genome sequence. This data is available for anyone to use under the terms of the Toronto Statement.', 'Germline', 'Control Set', NULL, 'International Rice Research Institute (IRRI)', 4530);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJNA289433', 'Study of Major Depression in Chinese women', 'Study of Major Depression in Chinese women', 'Germline', 'Control Set', NULL, 'BGI-Shenzhen', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJNA273563', '1001 Genomes: A Catalog of Arabidopsis thaliana Genetic Variation', '1001 Genomes: A Catalog of Arabidopsis thaliana Genetic Variation', 'Germline', 'Control Set', NULL, 'The 1001 Genomes Project Consortium', 3702);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB19524', 'Samsung Medical Centre: 36 familal exomes', '36 familial exomes from the Samsung Medical Centre', 'Germline', 'Control Set', NULL, 'SGI', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB15385', 'Illumina Platinum Genomes calls for NA12877 and NA12878 against GRCh37', 'Illumina Platinum Genomes calls for NA12877 and NA12878 against GRCh37', 'Germline', 'Control Set', NULL, 'Illumina', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB15384', 'Illumina Platinum Genomes calls for NA12877 and NA12878 against GRCh38', 'Illumina Platinum Genomes calls for NA12877 and NA12878 against GRCh38', 'Germline', 'Control Set', NULL, 'Illumina', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB20009', 'Cattle genetic variation data from 16 animals across 28 samples', 'Cattle genetic variation data from 16 animals across 28 samples', 'Germline', 'Control Set', NULL, 'Iowa State University', 9913);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB15197', 'deCODE Genetics whole-genome sequencing variants 2', 'Sequence variants identified in deCODE''s whole-genome sequencing of 15,220 Icelanders', 'Germline', 'Control Set', NULL, 'deCODE Genetics', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB18671', 'Sequencing of common bean genotypes provides comprehensive resources for genetic studies and molecular breeding', 'Whole genome sequencing and bioinformatic analysis of 29 cultivars of common bean (Phaseolus vulgaris), nine pools and 2 cultivated relatives of P. coccineus and P. acutifolius', 'Germline', 'Control Set', NULL, 'CIAT, UCDavis, Universidad de los Andes', 3885);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB19523', 'Samsung Medical Centre: 85 panel samples', '85 panel samples from the Samsung Medical Centre', 'Germline', 'Control Set', NULL, 'SGI', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB15198', 'deCODE Genetics whole-genome de novo variants', 'de novo mutations identified in deCODE''s whole-genome sequencing of 15,220 Icelanders', 'Germline', 'Control Set', NULL, 'deCODE Genetics', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB19387', 'Archive of Transcriptomic Variants within the Sheep Milk Somatic Cells', 'Archive with all the variants detected within the sheep milk somatic cell transcriptome. Transcriptome sequencing (RNA-seq) was performed on total RNA extracted from milk somatic cells from ewes on days 10, 50, 120 and 150 after lambing. The experiment was performed in 4 Spanish Churra and 4 Assaf sheep, which differ in their milk production traits. The project Coordinator is <NAME> from University of León, Spain.', 'Germline', 'Control Set', NULL, 'University of León', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB15642', 'Molecular characterisation of Djallonke and Sahelian sheep breed genomes', 'We undertook the first whole genome variant analysis of the Djallonke and the Sahelian sheep breeds of Ghana. WGS from five individuals each of Djallonke and Sahelian sheep was sequenced on an Ion Proton. A total of approximately 404 million (97%) and 343 million (97%) sequence reads from the Djallonke and Sahelian genomes respectively were successfully mapped to the sheep reference genome Oar_3.1/oviAri3. The mapped samples for each breed were then pooled. Variants were called/genotyped using a pipeline modified from GATK best practices.', 'Germline', 'Control Set', NULL, 'Curtin University', 9940);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB11749', 'HipSci imputed genotyping array data for healthy volunteers', 'The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed imputed Genotyping analysis using the Infinium HumanExome BeadChip on iPS cells generated from skin biopsies from healthy volunteers.', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB11750', 'HipSci genotyping array data for healthy volunteers', 'The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed Genotyping analysis using the Infinium HumanExome BeadChip on iPS cells generated from skin biopsies from healthy volunteers.', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22989', 'Effect annotated whole genome variants for 163 vervet monkeys (SNPs, Indels, and macaque fixed differences)', 'Callset of filtered SNP and indel genotypes of 163 vervet monkeys (genus Chlorocebus) from several African and Caribbean countries as described in Svardal et al. Nature Genetics 2017. Sample information can be found in Data S1 of the publication above. There is one VCF file per chromosome. Genotypes are not imputed and unphased. There is missing data. Note that there also is a imputed and phased dataset of biallelic SNPs available as a separate submission which might be more useful for many applications. Fixed differences between vervet and macaque have been added to the VCFs (mainly the sites with AC=0 and AF=0.000) so that variant effects are also annotated for divergent sites between vervet and macaque. Where available, the macaque state is given by the INFO tag ''AA''. Variant effects have been annotated. Please refer to the methods section of the article cited above for a full description of the data. <<EMAIL>>', 'Germline', 'Control Set', NULL, 'Gregor Mendel Institute', 60711);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB17529', 'Personal Genome Project - United Kingdom', 'About PGP UK:Founded in 2013 by <NAME>, the United Kingdom Personal Genome Project is located at University College London.PGP UK is a member of the Global Network of Personal Genome Projects (PGP), a group of research studies creating freely available scientific resources that bring together genomic, environmental and human trait data donated by volunteers. Initiated by George Church at Harvard Medical School in 2005, the Personal Genome Project has pioneered ethical, legal, and technical aspects related to the creation of public resources involving highly identifiable data like human genomes.We believe sharing is good for science and society. Our project is dedicated to creating public resources that everyone can access. Privacy, confidentiality and anonymity are impossible to guarantee in a context like this research study where public sharing of genetic data is an explicit goal. Therefore, our project collaborates with participants who are fully aware of the implications and privacy concerns of making their data public. Volunteering is not for everyone, but the participants who join make a valuable and lasting contribution to science.We respect the people behind the data, and we aim to maintain strong relationships with participants. We want to collaborate on tracking health and other traits as they unfold over time. We also want to better understand the benefits and risks related to accessing and sharing personal genomes and other types of data.The genome is just a part of the story: genes interact with the environment to form traits. Participants may choose to contribute other public data to build public records of their health and traits. We also try to connect participants with research, education, and citizen science projects that are connected to personal genome data', 'Germline', 'Control Set', NULL, 'UNIVERSITY COLLEGE LONDON', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9586', 'Deep genome sequencing for diverse human populations from around the world', 'The most powerful way to study population history and natural selection is to analyze whole genome sequences, which contain all the variation that exists in each individual. To date, genome-wide studies of history and selection have primarily analyzed data from single nucleotide polymorphism (SNP) arrays which are biased by the choice of which SNPs to include. Alternatively they have analyzed sequence data that have been generated as part of medical genetic studies from populations with large census sizes, and thus do not capture the full scope of human genetic variation. Here we supply high quality genome sequences (~40x average) from 301 individuals from 146 worldwide populations. All samples were sequenced using an identical protocol at the same facility (Illumina Ltd.). We modified standard pipelines to eliminate biases that might confound population genetic studies, to produce a unique alignment and genotype dataset.', 'Germline', 'Control Set', NULL, 'HARVARD MEDICAL SCHOOL, DEPARTMENT OF GENETICS', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22189', 'Boar sperm DNA fragmentation', 'Variant detection in RNA-seq data from boars with high/low sperm DFI', 'Germline', 'Control Set', NULL, 'Norsvin SA', 9823);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22833', 'Shull laboratory snps', 'Mammary cancer; congenic rat strain characterization.', 'Germline', 'Control Set', NULL, 'Rat Genome Database', 10116);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB21300', 'deCODE Release 2: whole-genome de novo variants from the proband from 1548 Icelandic trios', 'deCODE Release 2: whole-genome de novo variants from the proband from 1548 Icelandic trios', 'Germline', 'Control Set', NULL, 'deCODE genetics/Amgen Inc.', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB20726', 'Rotterdam Study Exome Sequencing Freeze 2', 'All variants detected by whole exome sequencing of 2628 Dutch healthy elderly individuals', 'Germline', 'Control Set', NULL, 'EMC', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB21794', 'OMIA LCV: Bulldog dwarfism in Dexter cattle', 'This project describes two likely causal variants (LCVs) for bulldog dwarfism in Dexter cattle', 'Germline', 'Control Set', NULL, 'OMIA', 9913);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB23068', 'RNA-Seq Analysis', 'RNA-Seq analysis carried out in three different backcrosses based on Iberian breed with Landrace, Pietrain and Duroc breeds', 'Germline', 'Control Set', NULL, 'INIA', 9823);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22261', 'genetic variantion data for LYC', 'The SNP and indel (length less than 50bp) data from large yellow croaker (Larimichthys crocea)', 'Germline', 'Control Set', NULL, 'Key Laboratory of Healthy Mariculture for the East China Sea, Jimei University', 215358);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22866', 'Public Science and Technology Research Funds Projects of Agriculture', 'To improve the technical standard and explore horse functional genome.', 'Germline', 'Control Set', NULL, 'Functional genome of Chinese native horse.', 9796);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB19794', 'The Danish reference pan genome phase II', 'Sequencing of Danish parent-offspring trios to determine genomic variation within the Danish population. Phase II comprises of 50 trios sequenced to 80X using Illumina with libraries of insert sizes from 180bp-20kb.', 'Germline', 'Control Set', NULL, 'Technical University of Denmark', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB20820', 'Deep whole-genome sequencing of 90 Han Chinese genomes', 'We performed whole genome sequencing at high depth (~80X) of 90 unrelated individuals of Chinese ancestry, collected from the 1000 Genome Project samples, including 45 North Han Chinese and 45 South Han Chinese samples. 83 of these 90 have been sequenced by the 1000 Genomes Project. We have identified 12,568,804 single nucleotide polymorphisms and 2,074,210 short InDels from these 90 samples.', 'Germline', 'Control Set', NULL, 'BGI-Shenzhen', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB20817', 'Haplotype-based stratification of Huntington''s disease', 'Genotypes of 21 common SNPs in Huntington''s disease subjects', 'Germline', 'Control Set', NULL, 'Center for Genomic Medicine, Massachusetts General Hospital', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22799', 'GRCz11 Alternate Haplotype Clone Variants', 'The process of producing the GRC zebrafish assembly included the high-quality sequencing and finishing of clones representing alternate haplotypes to corresponding regions in the current primary assembly. This project reports the variation between those alternate haplotype clones and the primary assembly.', 'Germline', 'Control Set', NULL, 'Wellcome Trust Sanger Institute', 7955);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB22988', 'Imputed phased whole genome SNP variants for 163 vervet monkeys', 'Callset of filtered imputed and phased biallelic SNP genotypes of 163 vervet monkeys (genus Chlorocebus) from several African and Caribbean countries as described in Svardal et al. Nature Genetics 2017. Sample information can be found in Data S1 of Svardal et al. 2017.', 'Germline', 'Control Set', NULL, 'Gregor Mendel Institute', 60711);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB9799', 'Whole genome detection of sequences of six horses from diverse breeds.', 'Completed in 2009, the reference genome assembly of the domesticated horse (EquCab 2.0) produced the majority of publically available annotations of genetic variations in this species. Following that effort, a few other projects that focused at variant discovery of a particular breed or two. In this project we aim to identify and annotate single nucleotide polymorphisms (SNPs), insertions and deletions (INDELs), copy number variations (CNVs) and structural variations (SVs) in the genomes six horses of diverse genetic background using next generation sequencing.', 'Germline', 'Control Set', NULL, 'UNIVERSITY OF FLORIDA', 9796);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB11746', 'HipSci whole exome sequencing data for healthy volunteers', 'The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed whole exome sequencing using Agilent whole exome pulldown method on iPS cells generated from skin biopsies from healthy volunteers.', 'Germline', 'Control Set', NULL, 'The Wellcome Trust Sanger Institute', 9606);
INSERT INTO projects(project_id, title, description, source_type, study_type, eva_center_name, center_name, taxonomy_id) VALUES('PRJEB11745', 'HipSci imputed whole exome sequencing data for healthy volunteers', 'The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed imputed whole exome sequencing using Agilent whole exome pulldown method on iPS cells generated from skin biopsies from healthy volunteers.', 'Germline', 'Control Set', NULL, 'The Wellcome Trust Sanger Institute', 9606);
|
<filename>reference/docs/conversion/sakai_2_9_0_mysql_conversion.sql
-- This is the MYSQL Sakai 2.9.0 conversion script
-- --------------------------------------------------------------------------------------------------------------------------------------
--
-- use this to convert a Sakai database from 2.8.x to 2.9.0. Run this before you run your first app server.
-- auto.ddl does not need to be enabled in your app server - this script takes care of all new TABLEs, changed TABLEs, and changed data.
--
-- Script insertion format
-- -- [TICKET] [short comment]
-- -- [comment continued] (repeat as necessary)
-- SQL statement
-- --------------------------------------------------------------------------------------------------------------------------------------
-- KNL-576 provider_id field is too small for large site with long list of provider id
alter table SAKAI_REALM modify PROVIDER_ID varchar(4000);
-- KNL-705 new soft deletion of sites
alter table SAKAI_SITE add IS_SOFTLY_DELETED char(1) not null default 0;
alter table SAKAI_SITE add SOFTLY_DELETED_DATE datetime;
-- KNL-725 use a column type that stores the timezone
alter table SAKAI_CLUSTER change UPDATE_TIME UPDATE_TIME timestamp;
-- KNL-734 type of session and event date column
alter table SAKAI_SESSION change SESSION_START SESSION_START timestamp;
alter table SAKAI_SESSION change SESSION_END SESSION_END timestamp;
alter table SAKAI_EVENT change EVENT_DATE EVENT_DATE timestamp;
-- SAK-19964 Gradebook drop highest and/or lowest or keep highest score for a student
alter table GB_CATEGORY_T add column DROP_HIGHEST int(11) null;
update GB_CATEGORY_T set DROP_HIGHEST = 0;
alter table GB_CATEGORY_T add column KEEP_HIGHEST int(11) null;
update GB_CATEGORY_T set KEEP_HIGHEST = 0;
-- SAK-19731 - Add ability to hide columns in All Grades View for instructors
alter table GB_GRADABLE_OBJECT_T add column (HIDE_IN_ALL_GRADES_TABLE bit default false);
update GB_GRADABLE_OBJECT_T set HIDE_IN_ALL_GRADES_TABLE = 0 where HIDE_IN_ALL_GRADES_TABLE is null;
-- SAK-20598 change column type to mediumtext
alter table SAKAI_PERSON_T change NOTES NOTES mediumtext null;
alter table SAKAI_PERSON_T change FAVOURITE_BOOKS FAVOURITE_BOOKS mediumtext null;
alter table SAKAI_PERSON_T change FAVOURITE_TV_SHOWS FAVOURITE_TV_SHOWS mediumtext null;
alter table SAKAI_PERSON_T change FAVOURITE_MOVIES FAVOURITE_MOVIES mediumtext null;
alter table SAKAI_PERSON_T change FAVOURITE_QUOTES FAVOURITE_QUOTES mediumtext null;
alter table SAKAI_PERSON_T change EDUCATION_COURSE EDUCATION_COURSE mediumtext null;
alter table SAKAI_PERSON_T change EDUCATION_SUBJECTS EDUCATION_SUBJECTS mediumtext null;
alter table SAKAI_PERSON_T change STAFF_PROFILE STAFF_PROFILE mediumtext null;
alter table SAKAI_PERSON_T change UNIVERSITY_PROFILE_URL UNIVERSITY_PROFILE_URL mediumtext null;
alter table SAKAI_PERSON_T change ACADEMIC_PROFILE_URL ACADEMIC_PROFILE_URL mediumtext null;
alter table SAKAI_PERSON_T change PUBLICATIONS PUBLICATIONS mediumtext null;
alter table SAKAI_PERSON_T change BUSINESS_BIOGRAPHY BUSINESS_BIOGRAPHY mediumtext null;
-- end SAK-20598
INSERT INTO SAM_TYPE_T (TYPEID,AUTHORITY,DOMAIN, KEYWORD,
DESCRIPTION,
STATUS, CREATEDBY, CREATEDDATE, LASTMODIFIEDBY,
LASTMODIFIEDDATE )
VALUES (13 , 'stanford.edu' ,'assessment.item' ,'Matrix Choices Survey' ,NULL ,1 ,1 ,
'2010-01-01 12:00:00',1 ,'2010-01-01 12:00:00');
-- SAM-1255
Update SAM_ASSESSEVALUATION_T
Set ANONYMOUSGRADING = 2
WHERE ASSESSMENTID = (Select ID from SAM_ASSESSMENTBASE_T where TITLE='Default Assessment Type' AND TYPEID='142' AND ISTEMPLATE=1);
-- SAM-1205
INSERT INTO SAM_ASSESSMETADATA_T (ASSESSMENTMETADATAID, ASSESSMENTID, LABEL,
ENTRY)
VALUES(NULL, 1, 'lockedBrowser_isInstructorEditable', 'true')
;
INSERT INTO SAM_ASSESSMETADATA_T (ASSESSMENTMETADATAID, ASSESSMENTID, LABEL,
ENTRY)
VALUES(NULL, (SELECT ID FROM SAM_ASSESSMENTBASE_T WHERE TITLE='Test'
AND TYPEID='142' AND ISTEMPLATE=1),
'lockedBrowser_isInstructorEditable', 'true')
;
INSERT INTO SAM_ASSESSMETADATA_T (ASSESSMENTMETADATAID, ASSESSMENTID, LABEL,
ENTRY)
VALUES(NULL, (SELECT ID FROM SAM_ASSESSMENTBASE_T WHERE TITLE='Timed Test'
AND TYPEID='142' AND ISTEMPLATE=1),
'lockedBrowser_isInstructorEditable', 'true')
;
-- SAM-1996 (related to SAM-1008 and SAM-1482)
ALTER TABLE SAM_ANSWER_T MODIFY COLUMN `TEXT` text NULL;
ALTER TABLE SAM_PUBLISHEDANSWER_T MODIFY COLUMN `TEXT` text NULL;
ALTER TABLE SAM_ITEM_T MODIFY COLUMN `INSTRUCTION` text NULL;
ALTER TABLE SAM_PUBLISHEDITEM_T MODIFY COLUMN `INSTRUCTION` text NULL;
-- end SAM-1996
-- SAM-1550
-- Apply the following two queries only if you have SAM-988 in your instance
-- Change the date format from:
-- Wed Sep 14 11:40:53 CDT 2011 (output of Date.toString() in SAM-988)
-- to:
-- 2012-08-23T10:59:34.180-05:00 (ISO8601 format in SAM-1550)
-- Please make the corresponding time zone changes to the queries:
/*
update SAM_SECTIONMETADATA_T set entry = date_format(str_to_date(entry, '%a %b %d %T SAST %Y'),'%Y-%m-%dT%H:%i:%S.000+02:00') where label='QUESTIONS_RANDOM_DRAW_DATE';
update SAM_PUBLISHEDSECTIONMETADATA_T set entry = date_format(str_to_date(entry, '%a %b %d %T SAST %Y'),'%Y-%m-%dT%H:%i:%S.000+02:00') where label='QUESTIONS_RANDOM_DRAW_DATE';
*/
-- Profile2 v 1.5 conversion START
-- PRFL-498 add the gravatar column, default to 0
alter table PROFILE_PREFERENCES_T add USE_GRAVATAR bit not null DEFAULT false;
-- PRFL-528 add the wall email notification column, default to 1
alter table PROFILE_PREFERENCES_T add EMAIL_WALL_ITEM_NEW bit not null DEFAULT true;
-- PRFL-388 add the worksite email notification column, default to 1
alter table PROFILE_PREFERENCES_T add EMAIL_WORKSITE_NEW bit not null DEFAULT true;
-- PRFL-513 add the wall privacy setting, default to 0
alter table PROFILE_PRIVACY_T add MY_WALL int not null DEFAULT 0;
-- PRFL-518 add profile wall items table
create table PROFILE_WALL_ITEMS_T (
WALL_ITEM_ID bigint not null auto_increment,
USER_UUID varchar(99) not null,
CREATOR_UUID varchar(99) not null,
WALL_ITEM_TYPE integer not null,
WALL_ITEM_TEXT text not null,
WALL_ITEM_DATE datetime not null,
primary key (WALL_ITEM_ID)
);
create table PROFILE_WALL_ITEM_COMMENTS_T (
WALL_ITEM_COMMENT_ID bigint not null auto_increment,
WALL_ITEM_ID bigint not null,
CREATOR_UUID varchar(99) not null,
WALL_ITEM_COMMENT_TEXT varchar(4000) not null,
WALL_ITEM_COMMENT_DATE datetime not null,
primary key (WALL_ITEM_COMMENT_ID)
);
alter table PROFILE_WALL_ITEM_COMMENTS_T
add index FK32185F67BEE209 (WALL_ITEM_ID),
add constraint FK32185F67BEE209
foreign key (WALL_ITEM_ID)
references PROFILE_WALL_ITEMS_T (WALL_ITEM_ID);
-- PRFL-350 add the show online status column, default to 1
alter table PROFILE_PREFERENCES_T add SHOW_ONLINE_STATUS bit not null DEFAULT true;
alter table PROFILE_PRIVACY_T add ONLINE_STATUS int not null DEFAULT 0;
-- PRFL-720 add missing sequences
create index PROFILE_WI_USER_UUID_I on PROFILE_WALL_ITEMS_T (USER_UUID);
-- Profile2 v 1.5 conversion END
-- -------------------------------
-- Backfill permissions
-- --------------------------------
-- STAT-275 make Statistics show by default
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'sitestats.admin.view');
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'sitestats.view');
-- SAK-20618 make Roleswap enabled by default
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'site.roleswap');
-- SAK-21332 LessonBuilder permissions
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'lessonbuilder.read');
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'lessonbuilder.upd');
-- for each realm that has a role matching something in this table, we will add to that role the function from this table
CREATE TABLE PERMISSIONS_SRC_TEMP (ROLE_NAME VARCHAR(99), FUNCTION_NAME VARCHAR(99));
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','sitestats.view');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','sitestats.view');
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','site.roleswap');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','site.roleswap');
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('access','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Teaching Assistant','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Student','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Coordinator','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Evaluator','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Reviewer','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Participant','lessonbuilder.read');
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','lessonbuilder.upd');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','lessonbuilder.upd');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Teaching Assistant','lessonbuilder.upd');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Coordinator','lessonbuilder.upd');
-- lookup the role and function numbers
CREATE TABLE PERMISSIONS_TEMP (ROLE_KEY INTEGER, FUNCTION_KEY INTEGER);
INSERT INTO PERMISSIONS_TEMP (ROLE_KEY, FUNCTION_KEY)
SELECT SRR.ROLE_KEY, SRF.FUNCTION_KEY
from PERMISSIONS_SRC_TEMP TMPSRC
JOIN SAKAI_REALM_ROLE SRR ON (TMPSRC.ROLE_NAME = SRR.ROLE_NAME)
JOIN SAKAI_REALM_FUNCTION SRF ON (TMPSRC.FUNCTION_NAME = SRF.FUNCTION_NAME);
-- insert the new functions into the roles of any existing realm that has the role (don't convert the "!site.helper" or "!user.template")
INSERT INTO SAKAI_REALM_RL_FN (REALM_KEY, ROLE_KEY, FUNCTION_KEY)
SELECT
SRRFD.REALM_KEY, SRRFD.ROLE_KEY, TMP.FUNCTION_KEY
FROM
(SELECT DISTINCT SRRF.REALM_KEY, SRRF.ROLE_KEY FROM SAKAI_REALM_RL_FN SRRF) SRRFD
JOIN PERMISSIONS_TEMP TMP ON (SRRFD.ROLE_KEY = TMP.ROLE_KEY)
JOIN SAKAI_REALM SR ON (SRRFD.REALM_KEY = SR.REALM_KEY)
WHERE SR.REALM_ID != '!site.helper' AND SR.REALM_ID NOT LIKE '!user.template%'
AND NOT EXISTS (
SELECT 1
FROM SAKAI_REALM_RL_FN SRRFI
WHERE SRRFI.REALM_KEY=SRRFD.REALM_KEY AND SRRFI.ROLE_KEY=SRRFD.ROLE_KEY AND SRRFI.FUNCTION_KEY=TMP.FUNCTION_KEY
);
-- clean up the temp tables
DROP TABLE PERMISSIONS_TEMP;
DROP TABLE PERMISSIONS_SRC_TEMP;
-- ADDING MSGCNTR Conversion
-- ---------------------------------
-- MSGCNTR-401 -----
-- Add new Property to prevent users from
-- using Generic Recipients in "To" field (all participants, ect)
-- ---------------------------------
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'msg.permissions.allowToField.allParticipants');
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'msg.permissions.allowToField.groups');
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'msg.permissions.allowToField.roles');
-- msg.permissions.allowToField.allParticipants and groups and roles is false for all users by default
-- if you want to turn this feature on for all "student/acces" type roles, then run
-- the following conversion:
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'maintain'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'maintain'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'maintain'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'access'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'access'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'access'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Instructor'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Instructor'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Instructor'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Teaching Assistant'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Teaching Assistant'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Teaching Assistant'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Student'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Student'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Student'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Coordinator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Coordinator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Coordinator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Evaluator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Evaluator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Evaluator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Reviewer'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Reviewer'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Reviewer'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Participant'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.allParticipants'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Participant'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Participant'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.allowToField.roles'));
-- --------------------------------------------------------------------------------------------------------------------------------------
-- backfill new msg.permissions.allowGenericRecipientFields permissions into existing realms
-- --------------------------------------------------------------------------------------------------------------------------------------
-- for each realm that has a role matching something in this table, we will add to that role the function from this table
CREATE TABLE PERMISSIONS_SRC_TEMP (ROLE_NAME VARCHAR(99), FUNCTION_NAME VARCHAR(99));
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('access','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Teaching Assistant','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Student','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Coordinator','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Evaluator','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Reviewer','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Participant','msg.permissions.allowToField.allParticipants');
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('access','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Teaching Assistant','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Student','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Coordinator','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Evaluator','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Reviewer','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Participant','msg.permissions.allowToField.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('access','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Teaching Assistant','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Student','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Coordinator','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Evaluator','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Reviewer','msg.permissions.allowToField.roles');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Participant','msg.permissions.allowToField.roles');
-- lookup the role and function numbers
CREATE TABLE PERMISSIONS_TEMP (ROLE_KEY INTEGER, FUNCTION_KEY INTEGER);
INSERT INTO PERMISSIONS_TEMP (ROLE_KEY, FUNCTION_KEY)
SELECT SRR.ROLE_KEY, SRF.FUNCTION_KEY
from PERMISSIONS_SRC_TEMP TMPSRC
JOIN SAKAI_REALM_ROLE SRR ON (TMPSRC.ROLE_NAME = SRR.ROLE_NAME)
JOIN SAKAI_REALM_FUNCTION SRF ON (TMPSRC.FUNCTION_NAME = SRF.FUNCTION_NAME);
-- insert the new functions into the roles of any existing realm that has the role (don't convert the "!site.helper" or "!user.template")
INSERT INTO SAKAI_REALM_RL_FN (REALM_KEY, ROLE_KEY, FUNCTION_KEY)
SELECT
SRRFD.REALM_KEY, SRRFD.ROLE_KEY, TMP.FUNCTION_KEY
FROM
(SELECT DISTINCT SRRF.REALM_KEY, SRRF.ROLE_KEY FROM SAKAI_REALM_RL_FN SRRF) SRRFD
JOIN PERMISSIONS_TEMP TMP ON (SRRFD.ROLE_KEY = TMP.ROLE_KEY)
JOIN SAKAI_REALM SR ON (SRRFD.REALM_KEY = SR.REALM_KEY)
WHERE SR.REALM_ID != '!site.helper' AND SR.REALM_ID NOT LIKE '!user.template%'
AND NOT EXISTS (
SELECT 1
FROM SAKAI_REALM_RL_FN SRRFI
WHERE SRRFI.REALM_KEY=SRRFD.REALM_KEY AND SRRFI.ROLE_KEY=SRRFD.ROLE_KEY AND SRRFI.FUNCTION_KEY=TMP.FUNCTION_KEY
);
-- clean up the temp tables
DROP TABLE PERMISSIONS_TEMP;
DROP TABLE PERMISSIONS_SRC_TEMP;
-- -------------------------
-- END MSGCNTR-401 -----
-- -------------------------
-- ////////////////////////////////////////////////////
-- // MSGCNTR-411
-- // Post First Option in Forums
-- ////////////////////////////////////////////////////
-- add column to allow postFirst as template setting
alter table MFR_AREA_T add column (POST_FIRST bit);
update MFR_AREA_T set POST_FIRST =0 where POST_FIRST is NULL;
alter table MFR_AREA_T modify column POST_FIRST bit not null;
-- add column to allow POST_FIRST to be set at the forum level
alter table MFR_OPEN_FORUM_T add column (POST_FIRST bit);
update MFR_OPEN_FORUM_T set POST_FIRST =0 where POST_FIRST is NULL;
alter table MFR_OPEN_FORUM_T modify column POST_FIRST bit not null;
-- add column to allow POST_FIRST to be set at the topic level
alter table MFR_TOPIC_T add column POST_FIRST bit AFTER MODERATED;
update MFR_TOPIC_T set POST_FIRST =0 where POST_FIRST is NULL;
alter table MFR_TOPIC_T modify column POST_FIRST bit not null;
-- MSGCNTR-329 - Add BCC option to Messages
alter table MFR_PVT_MSG_USR_T add column BCC bit AFTER READ_STATUS;
update MFR_PVT_MSG_USR_T set BCC=0 where BCC is NULL;
alter table MFR_PVT_MSG_USR_T modify column BCC bit not null DEFAULT b'0';
alter table MFR_MESSAGE_T add column RECIPIENTS_AS_TEXT_BCC TEXT;
-- MSGCNTR-503 - Internationalization of message priority
-- Default locale
update MFR_MESSAGE_T set label='pvt_priority_high' where label='High';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Low';
-- Locale ar
update MFR_MESSAGE_T set label='pvt_priority_high' where label='\u0645\u0631\u062A\u0641\u0639';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='\u0639\u0627\u062F\u064A';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='\u0645\u0646\u062E\u0641\u0636';
-- Locale ca
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Alta';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Baixa';
-- Locale es
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Alta';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Baja';
-- Locale eu
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Gutxikoa';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normala';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Handikoa';
-- Locale fr_CA
update MFR_MESSAGE_T set label='pvt_priority_high' where label='\u00C9lev\u00E9e';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normale';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Basse';
-- Locale fr_FR
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Elev\u00E9e';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normale';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Basse';
-- Locale ja
update MFR_MESSAGE_T set label='pvt_priority_high' where label='\u9ad8\u3044';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='\u666e\u901a';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='\u4f4e\u3044';
-- Locale nl
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Hoog';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normaal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Laag';
-- Locale pt_BR
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Alta';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Baixa';
-- Locale pt_PT
update MFR_MESSAGE_T set label='pvt_priority_high' where label='Alta';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='Baixa';
-- Locale ru
update MFR_MESSAGE_T set label='pvt_priority_high' where label='\u0412\u044b\u0441\u043e\u043a\u0438\u0439';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='\u041e\u0431\u044b\u0447\u043d\u044b\u0439';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='\u041d\u0438\u0437\u043a\u0438\u0439';
-- Locale sv
update MFR_MESSAGE_T set label='pvt_priority_high' where label='H\u00F6g';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='Normal';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='L\u00E5g';
-- Locale zh_TW
update MFR_MESSAGE_T set label='pvt_priority_high' where label='\u9ad8';
update MFR_MESSAGE_T set label='pvt_priority_normal' where label='\u666e\u901a';
update MFR_MESSAGE_T set label='pvt_priority_low' where label='\u4f4e';
-- END MSGCNTR-503 --
-- ////////////////////////////////////////////////////
-- // MSGCNTR-438
-- // Add Ability to hide specific groups
-- ////////////////////////////////////////////////////
CREATE TABLE MFR_HIDDEN_GROUPS_T (
ID bigint(20) AUTO_INCREMENT NOT NULL,
VERSION int(11) NOT NULL,
a_surrogateKey bigint(20) NULL,
GROUP_ID varchar(255) NOT NULL,
PRIMARY KEY(ID)
);
ALTER TABLE MFR_HIDDEN_GROUPS_T
ADD CONSTRAINT FK1DDE4138A306F94D
FOREIGN KEY(a_surrogateKey)
REFERENCES MFR_AREA_T(ID)
ON DELETE RESTRICT
ON UPDATE RESTRICT;
CREATE INDEX MFR_HIDDEN_GROUPS_PARENT_I
ON MFR_HIDDEN_GROUPS_T(a_surrogateKey);
INSERT INTO SAKAI_REALM_FUNCTION VALUES (DEFAULT, 'msg.permissions.viewHidden.groups');
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'maintain'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.viewHidden.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.course'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'Instructor'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.viewHidden.groups'));
INSERT INTO SAKAI_REALM_RL_FN VALUES((select REALM_KEY from SAKAI_REALM where REALM_ID = '!site.template.portfolio'), (select ROLE_KEY from SAKAI_REALM_ROLE where ROLE_NAME = 'CIG Coordinator'), (select FUNCTION_KEY from SAKAI_REALM_FUNCTION where FUNCTION_NAME = 'msg.permissions.viewHidden.groups'));
-- --------------------------------------------------------------------------------------------------------------------------------------
-- backfill new permission into existing realms
-- --------------------------------------------------------------------------------------------------------------------------------------
-- for each realm that has a role matching something in this table, we will add to that role the function from this table
CREATE TABLE PERMISSIONS_SRC_TEMP (ROLE_NAME VARCHAR(99), FUNCTION_NAME VARCHAR(99));
INSERT INTO PERMISSIONS_SRC_TEMP values ('maintain','msg.permissions.viewHidden.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('Instructor','msg.permissions.viewHidden.groups');
INSERT INTO PERMISSIONS_SRC_TEMP values ('CIG Coordinator','msg.permissions.viewHidden.groups');
-- lookup the role and function numbers
CREATE TABLE PERMISSIONS_TEMP (ROLE_KEY INTEGER, FUNCTION_KEY INTEGER);
INSERT INTO PERMISSIONS_TEMP (ROLE_KEY, FUNCTION_KEY)
SELECT SRR.ROLE_KEY, SRF.FUNCTION_KEY
from PERMISSIONS_SRC_TEMP TMPSRC
JOIN SAKAI_REALM_ROLE SRR ON (TMPSRC.ROLE_NAME = SRR.ROLE_NAME)
JOIN SAKAI_REALM_FUNCTION SRF ON (TMPSRC.FUNCTION_NAME = SRF.FUNCTION_NAME);
-- insert the new functions into the roles of any existing realm that has the role (don't convert the "!site.helper" or "!user.template")
INSERT INTO SAKAI_REALM_RL_FN (REALM_KEY, ROLE_KEY, FUNCTION_KEY)
SELECT
SRRFD.REALM_KEY, SRRFD.ROLE_KEY, TMP.FUNCTION_KEY
FROM
(SELECT DISTINCT SRRF.REALM_KEY, SRRF.ROLE_KEY FROM SAKAI_REALM_RL_FN SRRF) SRRFD
JOIN PERMISSIONS_TEMP TMP ON (SRRFD.ROLE_KEY = TMP.ROLE_KEY)
JOIN SAKAI_REALM SR ON (SRRFD.REALM_KEY = SR.REALM_KEY)
WHERE SR.REALM_ID != '!site.helper' AND SR.REALM_ID NOT LIKE '!user.template%'
AND NOT EXISTS (
SELECT 1
FROM SAKAI_REALM_RL_FN SRRFI
WHERE SRRFI.REALM_KEY=SRRFD.REALM_KEY AND SRRFI.ROLE_KEY=SRRFD.ROLE_KEY AND SRRFI.FUNCTION_KEY=TMP.FUNCTION_KEY
);
-- clean up the temp tables
DROP TABLE PERMISSIONS_TEMP;
DROP TABLE PERMISSIONS_SRC_TEMP;
-- END MSGCNTR-438 --
-- MSGCNTR-569
alter table MFR_TOPIC_T modify CONTEXT_ID varchar(255);
-- END MSGCNTR Conversion
-- Start Lesson Builder table creation (if no auto.ddl)
create table IF NOT EXISTS lesson_builder_comments (
id bigint not null auto_increment,
itemId bigint not null,
pageId bigint not null,
timePosted datetime not null,
author varchar(36) not null,
commenttext text,
UUID varchar(36) not null,
html bit not null,
points double precision,
primary key (id)
);
create table IF NOT EXISTS lesson_builder_groups (
id bigint not null auto_increment,
itemId varchar(255) not null,
groupId varchar(255) not null,
groups text,
primary key (id)
);
create table IF NOT EXISTS lesson_builder_items (
id bigint not null auto_increment,
pageId bigint not null,
sequence integer not null,
type integer not null,
sakaiId varchar(250),
name varchar(100),
html text,
description text,
height varchar(8),
width varchar(8),
alt text,
nextPage bit,
format varchar(255),
required bit,
alternate bit,
prerequisite bit,
subrequirement bit,
requirementText varchar(20),
sameWindow bit,
groups text,
anonymous bit,
showComments bit,
forcedCommentsAnonymous bit,
gradebookId varchar(35),
gradebookPoints integer,
gradebookTitle varchar(200),
altGradebook varchar(35),
altPoints integer,
altGradebookTitle varchar(200),
primary key (id)
);
create table IF NOT EXISTS lesson_builder_log (
id bigint not null auto_increment,
lastViewed datetime not null,
itemId bigint not null,
userId varchar(255) not null,
firstViewed datetime not null,
complete bit not null,
dummy bit not null,
path varchar(255),
toolId varchar(250),
studentPageId bigint,
primary key (id)
);
create table IF NOT EXISTS lesson_builder_pages (
pageId bigint not null auto_increment,
toolId varchar(250) not null,
siteId varchar(250) not null,
title varchar(100) not null,
parent bigint,
topParent bigint,
hidden bit,
releaseDate datetime,
gradebookPoints double precision,
owner varchar(36),
groupOwned bit,
cssSheet varchar(250),
primary key (pageId)
);
create table IF NOT EXISTS lesson_builder_student_pages (
id bigint not null auto_increment,
lastUpdated datetime not null,
itemId bigint not null,
pageId bigint not null,
title varchar(100) not null,
owner varchar(36) not null,
groupOwned bit not null,
commentsSection bigint,
lastCommentChange datetime,
deleted bit,
points double precision,
primary key (id)
);
-- End Lesson Builder table creation
-- Start Lesson Builder Index creation
create index lesson_builder_comments_itemid_author on lesson_builder_comments(itemId, author);
create index lesson_builder_student_pages_pageId on lesson_builder_student_pages(pageId);
create index lesson_builder_student_pages_itemId on lesson_builder_student_pages(itemId);
create index lesson_builder_log_index on lesson_builder_log(userId,itemId, studentPageId);
create index lesson_builder_student_pages_index on lesson_builder_student_pages(itemId, owner, deleted);
create index lesson_builder_comments_uuid on lesson_builder_comments(UUID);
create index lesson_builder_comments_author on lesson_builder_comments(pageId, author);
create index lesson_builder_log_index3 on lesson_builder_log(itemId);
create index lesson_builder_log_index2 on lesson_builder_log(userId,toolId);
create index lesson_builder_groups_itemid on lesson_builder_groups(itemId);
create index lesson_builder_pages_pageid on lesson_builder_pages(pageId);
create index lesson_builder_pages_toolid on lesson_builder_pages(toolId, parent);
create index lesson_builder_items_pageid on lesson_builder_items(pageId);
create index lesson_builder_items_sakaiid on lesson_builder_items(sakaiId);
-- End Lesson Builder Index creation
-- SAK-21754
INSERT INTO SAKAI_SITE_PROPERTY VALUES ('!error', 'display-users-present', 'false');
-- PRFL-612 add avatar image url column to uploaded and external image records
ALTER TABLE PROFILE_IMAGES_T ADD RESOURCE_AVATAR VARCHAR(4000) not null AFTER RESOURCE_THUMB;
ALTER TABLE PROFILE_IMAGES_EXTERNAL_T ADD URL_AVATAR VARCHAR(4000) NULL DEFAULT NULL;
-- BLTI-156
CREATE TABLE IF NOT EXISTS lti_mapping (
id INTEGER NOT NULL AUTO_INCREMENT,
matchpattern VARCHAR(255) NOT NULL,
launch VARCHAR(255) NOT NULL,
note VARCHAR(255),
created_at DATETIME NOT NULL,
updated_at DATETIME NOT NULL,
PRIMARY KEY( id )
);
CREATE TABLE IF NOT EXISTS lti_content (
id INTEGER NOT NULL AUTO_INCREMENT,
tool_id INT,
SITE_ID VARCHAR(99),
title VARCHAR(255) NOT NULL,
frameheight INT,
newpage TINYINT DEFAULT '0',
debug TINYINT DEFAULT '0',
custom TEXT(1024),
launch VARCHAR(255),
xmlimport TEXT(16384),
placement VARCHAR(256),
created_at DATETIME NOT NULL,
updated_at DATETIME NOT NULL,
PRIMARY KEY( id )
);
CREATE TABLE IF NOT EXISTS lti_tools (
id INTEGER NOT NULL AUTO_INCREMENT,
SITE_ID VARCHAR(99),
title VARCHAR(255) NOT NULL,
description TEXT(4096),
status TINYINT DEFAULT '0',
visible TINYINT DEFAULT '0',
launch VARCHAR(255) NOT NULL,
consumerkey VARCHAR(255) NOT NULL,
secret VARCHAR(255) NOT NULL,
frameheight INT,
allowframeheight TINYINT DEFAULT '0',
sendname TINYINT DEFAULT '0',
sendemailaddr TINYINT DEFAULT '0',
newpage TINYINT DEFAULT '0',
debug TINYINT DEFAULT '0',
custom TEXT(1024),
allowcustom TINYINT DEFAULT '0',
xmlimport TEXT(16384),
splash TEXT(4096),
created_at DATETIME NOT NULL,
updated_at DATETIME NOT NULL,
PRIMARY KEY( id )
);
-- end of BLTI-156
-- STAT-315
CREATE TABLE IF NOT EXISTS SST_SERVERSTATS (
ID bigint(20) NOT NULL AUTO_INCREMENT,
ACTIVITY_DATE date NOT NULL,
EVENT_ID varchar(32) NOT NULL,
ACTIVITY_COUNT bigint(20) NOT NULL,
PRIMARY KEY (ID)
);
CREATE TABLE IF NOT EXISTS SST_USERSTATS (
ID bigint(20) NOT NULL AUTO_INCREMENT,
LOGIN_DATE date NOT NULL,
USER_ID varchar(99) NOT NULL,
LOGIN_COUNT bigint(20) NOT NULL,
PRIMARY KEY (ID)
);
-- end of STAT-315
-- SAK-21739 Enforce uniqueness on template key + locale
-- The following lines will remove duplicates from your database by filtering first on date and then on max id (tie break).
CREATE TABLE EMAIL_TEMPLATE_ITEM_TEMP (ID INTEGER);
INSERT INTO EMAIL_TEMPLATE_ITEM_TEMP SELECT ID from EMAIL_TEMPLATE_ITEM
where LAST_MODIFIED not in (select MAX(LAST_MODIFIED) from EMAIL_TEMPLATE_ITEM GROUP BY template_key, template_locale);
DELETE FROM EMAIL_TEMPLATE_ITEM WHERE ID IN (SELECT ID FROM EMAIL_TEMPLATE_ITEM_TEMP);
DELETE FROM EMAIL_TEMPLATE_ITEM_TEMP;
INSERT INTO EMAIL_TEMPLATE_ITEM_TEMP SELECT MAX(ID) FROM EMAIL_TEMPLATE_ITEM GROUP BY UPPER(TEMPLATE_KEY), UPPER(TEMPLATE_LOCALE);
DELETE FROM EMAIL_TEMPLATE_ITEM WHERE ID NOT IN (SELECT ID FROM EMAIL_TEMPLATE_ITEM_TEMP);
DROP TABLE EMAIL_TEMPLATE_ITEM_TEMP;
alter table EMAIL_TEMPLATE_ITEM add unique key EMAIL_TEMPLATE_ITEM_KEY_LOCALE_KEY (TEMPLATE_KEY,TEMPLATE_LOCALE);
-- end of SAK-21739
-- SAK-22223 don't use null as a template key
update EMAIL_TEMPLATE_ITEM set TEMPLATE_LOCALE = 'default' where TEMPLATE_LOCALE is null or TEMPLATE_LOCALE = '';
-- end of SAK-22223
-- SAK-20884 new gradebook column
ALTER TABLE GB_GRADEBOOK_T ADD COLUMN `DO_SHOW_STATISTICS_CHART` bit(1) NULL DEFAULT NULL AFTER `DO_SHOW_ITEM_STATS`;
-- end of SAK-20884
-- SAK-21683 drop a descending index because not necessary for mysql
ALTER TABLE ANNOUNCEMENT_MESSAGE DROP INDEX `IE_ANNC_MSG_DATE_DESC`;
ALTER TABLE MAILARCHIVE_MESSAGE DROP INDEX `IE_MAILARC_MSG_DATE_DESC`;
-- end of SAK-21683
|
-- +migrate Up
ALTER TABLE ONLY history_accounts ADD COLUMN accounttype int NULL;
-- +migrate Down
ALTER TABLE ONLY history_accounts DROP COLUMN accounttype;
|
<filename>src/main/g8/src/test/resources/initial.sql
drop table if exists ACCOUNT_BALANCE;
create table ACCOUNT_BALANCE
(
ACCOUNT_I int not null,
BALANCE_F float8,
FROM_Z timestamp not null,
THRU_Z timestamp not null,
IN_Z timestamp not null,
OUT_Z timestamp not null
);
alter table ACCOUNT_BALANCE add constraint ACCOUNT_BALANCE_PK primary key (ACCOUNT_I, THRU_Z, OUT_Z);
drop table if exists ALL_TYPES;
create table ALL_TYPES
(
ID int not null,
BOOL_COL boolean not null,
BYTE_COL smallint not null,
SHORT_COL int2 not null,
CHAR_COL varchar(1) not null,
INT_COL int not null,
LONG_COL bigint not null,
FLOAT_COL float4 not null,
DOUBLE_COL float8 not null,
DATE_COL date not null,
TIMESTAMP_COL timestamp not null,
STRING_COL varchar(50) not null,
BYTE_ARRAY_COL bytea not null,
NULL_BYTE_COL smallint,
NULL_SHORT_COL int2,
NULL_CHAR_COL varchar(1),
NULL_INT_COL int,
NULL_LONG_COL bigint,
NULL_FLOAT_COL float4,
NULL_DOUBLE_COL float8,
NULL_DATE_COL date,
NULL_TIMESTAMP_COL timestamp,
NULL_STRING_COL varchar(50),
NULL_BYTE_ARRAY_COL bytea
);
alter table ALL_TYPES add constraint ALL_TYPES_PK primary key (ID);
drop table if exists CUSTOMER;
create table CUSTOMER
(
CUSTOMER_I int not null,
NAME_C varchar(64) not null,
COUNTRY_I varchar(48) not null
);
alter table CUSTOMER add constraint CUSTOMER_PK primary key (CUSTOMER_I);
drop table if exists CUSTOMER_ACCOUNT;
create table CUSTOMER_ACCOUNT
(
ACCOUNT_I int not null,
CUSTOMER_I int not null,
ACCOUNT_NAME_C varchar(48) not null,
ACCOUNT_TYPE_C varchar(16) not null
);
alter table CUSTOMER_ACCOUNT add constraint CUSTOMER_ACCOUNT_PK primary key (ACCOUNT_I);
drop table if exists EMPLOYEE;
create table EMPLOYEE
(
EMPLOYEE_ID int not null,
FIRST_NAME varchar(255) not null,
LAST_NAME varchar(255) not null,
AGE int not null,
FROM_Z timestamp not null,
THRU_Z timestamp not null,
IN_Z timestamp not null,
OUT_Z timestamp not null
);
alter table EMPLOYEE add constraint EMPLOYEE_PK primary key (EMPLOYEE_ID, THRU_Z, OUT_Z);
drop table if exists OBJECT_SEQUENCE;
create table OBJECT_SEQUENCE
(
SEQUENCE_NAME varchar(64) not null,
NEXT_VALUE bigint
);
alter table OBJECT_SEQUENCE add constraint OBJECT_SEQUENCE_PK primary key (SEQUENCE_NAME);
drop table if exists PERSON;
create table PERSON
(
PERSON_ID int not null,
NAME varchar(64) not null,
COUNTRY varchar(48) not null,
AGE int not null
);
alter table PERSON add constraint PERSON_PK primary key (PERSON_ID);
drop table if exists TASK;
create table TASK
(
TASK_ID int not null,
NAME varchar(64) not null,
STATUS varchar(32) not null,
IN_Z timestamp not null,
OUT_Z timestamp not null
);
alter table TASK add constraint TASK_PK primary key (TASK_ID, OUT_Z);
|
<filename>sms-migration/src/main/resources/sql/sms/000/V1_01_00__t_pub_menu.sql
-- 短信通道表
CREATE TABLE PUB_MENU
(
ID VARCHAR2(32 CHAR) NOT NULL ,
HAS_CHILD CHAR(1 BYTE) NULL ,
ICON VARCHAR2(20 CHAR) NULL ,
NODE VARCHAR2(1 CHAR) NULL ,
PARENT_ID VARCHAR2(32 CHAR) NULL ,
PATH VARCHAR2(100 CHAR) NULL ,
SORT NUMBER(10) NULL ,
TITLE VARCHAR2(30 CHAR) NULL ,
IS_SHOW VARCHAR2(1 CHAR) NULL ,
REMARK VARCHAR2(255 CHAR) NULL
); |
-- Wrap the DROP/CREATE in a TRANSACTION,
-- because Postgres doesn't support CREATE TRIGGER IF NOT EXISTS syntax.
-- This way it is always safe to execute this file.
BEGIN TRANSACTION;
DROP TRIGGER IF EXISTS address_before_update ON address;
CREATE TRIGGER address_before_update
BEFORE UPDATE ON address
FOR EACH ROW
EXECUTE FUNCTION set_updated_at();
COMMENT ON TRIGGER address_before_update ON address IS 'Update the `updated_at` field for every row updated.';
END TRANSACTION;
|
--
-- Name: parsemanagernamelist(text, integer, text); Type: PROCEDURE; Schema: mc; Owner: d3l243
--
CREATE OR REPLACE PROCEDURE mc.parsemanagernamelist(_managernamelist text DEFAULT ''::text, _removeunknownmanagers integer DEFAULT 1, INOUT _message text DEFAULT ''::text)
LANGUAGE plpgsql
AS $_$
/****************************************************
**
** Desc:
** Parses the list of managers in _managerNameList
** and populates a temporary table with the manager names
**
** The calling procedure must create a temporary table (the table can contain additional columns)
** CREATE TEMP TABLE TmpManagerList (
** manager_name text NOT NULL
** )
**
** Arguments:
** _managerNameList One or more manager names (comma-separated list); supports wildcards
** _removeUnknownManagers When 1, delete manager names that are not defined in _removeUnknownManagers
** _message Output message
**
** Auth: mem
** Date: 05/09/2008
** 05/14/2015 mem - Update Insert query to explicitly list field Manager_Name
** 01/28/2020 mem - Ported to PostgreSQL
** 02/04/2020 mem - Rename manager name column mgr_name
** 02/07/2020 mem - Fix typo in temp table name
**
*****************************************************/
DECLARE
_myRowCount int := 0;
_managerFilter text;
_s text;
BEGIN
-----------------------------------------------
-- Validate the inputs
-----------------------------------------------
--
_managerNameList := Coalesce(_managerNameList, '');
_removeUnknownManagers := Coalesce(_removeUnknownManagers, 1);
_message := '';
-----------------------------------------------
-- Creata a temporary table
-----------------------------------------------
DROP TABLE IF EXISTS TmpManagerSpecList;
CREATE TEMP TABLE TmpManagerSpecList (
entry_id int PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
manager_name text NOT NULL
);
-----------------------------------------------
-- Parse _managerNameList
-----------------------------------------------
If char_length(_managerNameList) = 0 Then
Return;
End If;
-- Populate TmpManagerSpecList with the data in _managerNameList
INSERT INTO TmpManagerSpecList (manager_name)
SELECT value
FROM public.udf_parse_delimited_list(_managerNameList, ',');
-- Populate TmpManagerList with the entries in TmpManagerSpecList that do not contain a % wildcard
INSERT INTO TmpManagerList (manager_name)
SELECT manager_name
FROM TmpManagerSpecList
WHERE NOT manager_name SIMILAR TO '%[%]%' AND NOT manager_name SIMILAR TO '%\[%';
--
GET DIAGNOSTICS _myRowCount = ROW_COUNT;
-- Delete the non-wildcard entries from TmpManagerSpecList
--
DELETE FROM TmpManagerSpecList target
WHERE NOT target.manager_name SIMILAR TO '%[%]%' AND NOT manager_name SIMILAR TO '%\[%';
--
GET DIAGNOSTICS _myRowCount = ROW_COUNT;
-- Parse the entries in TmpManagerSpecList (all should have a wildcard)
--
For _managerFilter In
SELECT manager_name
FROM TmpManagerSpecList
ORDER BY Entry_ID
Loop
_s := format(
'INSERT INTO TmpManagerList (manager_name) ' ||
'SELECT mgr_name ' ||
'FROM mc.t_mgrs ' ||
'WHERE mgr_name SIMILAR TO $1');
EXECUTE _s USING _managerFilter;
_s := regexp_replace(_s, '\$1', '''' || _managerFilter || '''');
RAISE Info '%', _s;
End Loop;
If _removeUnknownManagers = 0 Then
Return;
End If;
-- Delete entries from TmpManagerList that are not defined in mc.t_mgrs
--
DELETE FROM TmpManagerList
WHERE NOT manager_name IN (SELECT mgr_name FROM mc.t_mgrs);
--
GET DIAGNOSTICS _myRowCount = ROW_COUNT;
If _myRowCount > 0 Then
_message := 'Found ' || _myRowCount || ' entries in _managerNameList that are not defined in mc.t_mgrs';
RAISE INFO '%', _message;
_message := '';
End If;
END
$_$;
ALTER PROCEDURE mc.parsemanagernamelist(_managernamelist text, _removeunknownmanagers integer, INOUT _message text) OWNER TO d3l243;
--
-- Name: PROCEDURE parsemanagernamelist(_managernamelist text, _removeunknownmanagers integer, INOUT _message text); Type: COMMENT; Schema: mc; Owner: d3l243
--
COMMENT ON PROCEDURE mc.parsemanagernamelist(_managernamelist text, _removeunknownmanagers integer, INOUT _message text) IS 'ParseManagerNameList';
|
/* fixCRTChannelMembershipCounts fixes the channel counts, i.e. the total message count,
total root message count, mention count, and mention count in root messages for users
who have viewed the channel after the last post in the channel */
DO $$
<< migrate_crt_channelmembership_counts >>
BEGIN
IF((
SELECT
COUNT(*)
FROM systems
WHERE
Name = 'CRTChannelMembershipCountsMigrationComplete') = 0) THEN
UPDATE
ChannelMembers
SET
MentionCount = 0,
MentionCountRoot = 0,
MsgCount = Channels.TotalMsgCount,
MsgCountRoot = Channels.TotalMsgCountRoot,
LastUpdateAt = (
SELECT
(extract(epoch FROM now()) * 1000)::bigint)
FROM
Channels
WHERE
ChannelMembers.Channelid = Channels.Id
AND ChannelMembers.LastViewedAt >= Channels.LastPostAt;
INSERT INTO Systems
VALUES('CRTChannelMembershipCountsMigrationComplete', 'true');
END IF;
END migrate_crt_channelmembership_counts
$$;
|
<reponame>credativ/db2fce
CREATE EXTENSION db2fce;
|
<reponame>Zhaojia2019/cubrid-testcases
autocommit off;
create procedure test_int11(i int) return int
as language java name 'SpTest.testInt(int) return int';
-- fail
rollback;
autocommit on;
|
-- Default password for <EMAIL> is: <PASSWORD>
INSERT INTO EGS_USER("ID", "EMAIL", "FIRSTNAME", "LASTNAME", "PASSWORD", "BLOCKED") VALUES
(10001, '<EMAIL>', 'Jane', 'Doe', '$2a$10$Zj38WYKI.gGbhQWuATpY2.nI8CowD/ujyC7c2MozoyMBGNi8z6bui', FALSE);
INSERT INTO EGS_ROLE(id, name) VALUES(10001, 'ROLE_USER');
INSERT INTO EGS_ROLE(id, name) VALUES(10002, 'ROLE_ADMIN');
INSERT INTO EGS_USER_ROLES(USER_ID, ROLE_ID) VALUES
(10001, 10001),
(10001, 10002); |
<gh_stars>0
CREATE DATABASE [Movies]
USE [Movies]
CREATE TABLE [Directors]
(
[Id] INT PRIMARY KEY IDENTITY,
[DirectorName] NVARCHAR(50) NOT NULL,
[Notes] NVARCHAR(MAX),
)
INSERT INTO [Directors]([DirectorName], [Notes]) VALUES
('Sia', 'The best'),
('Peter', 'Not bad'),
('Gogo', NULL),
('Bianka', 'The best'),
('Hristo', 'Good director')
CREATE TABLE [Genres]
(
[Id] INT PRIMARY KEY IDENTITY,
[GenreName] NVARCHAR(50) NOT NULL,
[Notes] NVARCHAR(MAX),
)
INSERT INTO [Genres]([GenreName], [Notes]) VALUES
('Comedy', 'Very funny'),
('Drama', NULL),
('Horror', 'Terrifying'),
('Mistery', 'Interesting'),
('Romance', NULL)
CREATE TABLE [Categories]
(
[Id] INT PRIMARY KEY IDENTITY,
[CategoryName] NVARCHAR(50) NOT NULL,
[Notes] NVARCHAR(MAX),
)
INSERT INTO [Categories]([CategoryName], [Notes]) VALUES
('Action', 'Very funny'),
('Thriller', 'Scarry'),
('Fantasy', 'Interesting'),
('Western', NULL),
('Sci-fi', NULL)
CREATE TABLE [Movies]
(
[Id] INT PRIMARY KEY IDENTITY,
[Title] NVARCHAR(50) NOT NULL,
[DirectorId] INT FOREIGN KEY REFERENCES [Directors]([Id]) NOT NULL,
[CopyrightYear] INT NOT NULL,
[Length] INT NOT NULL,
[GenreId] INT FOREIGN KEY REFERENCES [Genres]([Id]) NOT NULL,
[CategoryId] INT FOREIGN KEY REFERENCES [Categories]([Id]) NOT NULL,
[Rating] REAL CHECK ([Rating] >= 0 AND [Rating] <= 10) NOT NULL,
[Notes] NVARCHAR(MAX)
)
INSERT INTO [Movies]([Title], [DirectorId], [CopyrightYear], [Length], [GenreId], [CategoryId], [Rating], [Notes]) VALUES
('Joker', 1, 2019, 122, 1, 3, 8.4, 'Deserves to watch'),
('<NAME>', 5, 1999, 124, 2, 3, 7.1, 'Highly recommend'),
('Hachi: A Dogs Tale', 3, 2009, 93, 2, 4, 8.1, 'Deserves to watch'),
('Her', 2, 2013, 126, 3, 3, 7.9, 'Good movie'),
('Fatherhood', 4, 2021, 109, 5, 4, 6.6, 'Good movie')
|
<reponame>SkillsFundingAgency/DC-Data-LARS<filename>src/ESFA.DC.Data.LARS.Database/Staging/Tables/LARS_LearningDeliveryCategory.sql
CREATE TABLE [Staging].[LARS_LearningDeliveryCategory] (
[LearnAimRef] VARCHAR (8) NOT NULL,
[CategoryRef] INT NOT NULL,
[EffectiveFrom] DATE NOT NULL,
[EffectiveTo] DATE NULL,
[Created_On] DATETIME NOT NULL,
[Created_By] VARCHAR (100) NOT NULL,
[Modified_On] DATETIME NOT NULL,
[Modified_By] VARCHAR (100) NOT NULL,
CONSTRAINT [PK_Staging_LARS_LearningDeliveryCategory] PRIMARY KEY CLUSTERED ([LearnAimRef] ASC, [CategoryRef] ASC, [EffectiveFrom] ASC) WITH (FILLFACTOR = 90)
);
GO
GRANT ALTER ON OBJECT::Staging.LARS_LearningDeliveryCategory TO [Lars_RW_User];
|
SET DEFINE OFF;
ALTER TABLE AFW_13_OPERT_OPTIO ADD (
CONSTRAINT AFW_13_OPERT_OPTIO_UK1
UNIQUE (REF_OPERT, CODE)
ENABLE VALIDATE)
/
|
<reponame>vibolyoeung/psarnetwork<filename>database/slideshow.sql
-- phpMyAdmin SQL Dump
-- version 4.0.4
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Dec 04, 2014 at 04:36 PM
-- Server version: 5.6.12-log
-- PHP Version: 5.4.12
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: `psarnetwork_db`
--
-- --------------------------------------------------------
--
-- Table structure for table `slideshow`
--
CREATE TABLE IF NOT EXISTS `slideshow` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(100) DEFAULT NULL,
`image` varchar(200) DEFAULT NULL,
`short_desc` text,
`description` text,
`link_url` varchar(200) DEFAULT NULL,
`status` int(11) DEFAULT '0',
`product_id` int(11) DEFAULT NULL,
`advertiser_id` int(11) DEFAULT NULL,
`created_date` varchar(100) DEFAULT NULL,
`expire_date` varchar(100) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=8 ;
--
-- Dumping data for table `slideshow`
--
INSERT INTO `slideshow` (`id`, `title`, `image`, `short_desc`, `description`, `link_url`, `status`, `product_id`, `advertiser_id`, `created_date`, `expire_date`) VALUES
(6, 'title-updated', '1417708699.jpg', 'title-updated', 'title-updated', 'http://psarnetwork.local/admin/create_slideshow-title-updated', 1, NULL, 3, '01/12/2014', '31/12/2014'),
(7, 'New Care Arrival', '1417708677.jpg', 'This is the best time for me This is the best time for me This is the best time for me This is the best time for me This is the best time for me', 'This is the best time for me This is the best time for me This is the best time for me This is the best time for me This is the best time for me', 'http://psarnetwork.local/admin/create_slideshow-updated', 1, NULL, NULL, '01/12/2012', '31/12/2014');
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
select id, name, count(employee_id) as num
from record, employee
where employee_id = id
group by employee_id
having num > 1
order by num desc
;
|
-- https://www.hackerrank.com/challenges/harry-potter-and-wands/problem
SELECT id, age, coins_needed, power FROM Wands w
JOIN Wands_Property wp ON w.code = wp.code AND coins_needed =
(SELECT MIN (coins_needed) FROM Wands w1
JOIN Wands_Property wp1 on wp.code = w1.code AND w.power = w1.power AND wp.age = wp1.age and wp1.is_evil = 0)
ORDER BY power DESC, age DESC; |
<reponame>jonasjonas/depage-cms<filename>www/framework/XmlDb/Sql/03_xmldeltaupdates.sql
/*
XmlDb XML Delta Updates Table
-----------------------------------
@tablename _xmldeltaupdates
@connection _xmldocs
@version 1.5.0-beta.1
*/
CREATE TABLE `_xmldeltaupdates` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`node_id` int(11) DEFAULT NULL,
`doc_id` int(11) unsigned NOT NULL,
`depth` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `doc_id` (`doc_id`),
CONSTRAINT `_xmldeltaupdates_ibfk_2` FOREIGN KEY (`doc_id`) REFERENCES `_xmldocs` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4;
|
<reponame>Shuttl-Tech/antlr_psql<gh_stars>10-100
-- file:create_table_like.sql ln:88 expect:true
ALTER TABLE ctlt3 ALTER COLUMN c SET STORAGE EXTERNAL
|
<filename>apps/countries/models/tables/data/en/sql/tbl_country_data.sql<gh_stars>1-10
/*
Navicat MySQL Data Transfer
Source Server : wvanheem_core_local
Source Server Version : 50509
Source Host : 127.0.0.1
Source Database : core
Target Server Version : 50509
File Encoding : utf-8
Date: 06/22/2012 21:50:29 PM
*/
SET NAMES utf8;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Delete all records of `tbl_country`
-- ----------------------------
DELETE FROM `tbl_country`;
-- ----------------------------
-- Records of `tbl_country`
-- ----------------------------
BEGIN;
INSERT INTO `tbl_country` VALUES ('1', 'AF', 'Afghanistan', '', null, '0000-00-00 00:00:00'), ('2', 'AX', 'Aland Islands', '', null, '0000-00-00 00:00:00'), ('3', 'AL', 'Albania', '', null, '0000-00-00 00:00:00'), ('4', 'DZ', 'Algeria', '', null, '0000-00-00 00:00:00'), ('5', 'AS', 'American Samoa', '', null, '0000-00-00 00:00:00'), ('6', 'AD', 'Andorra', '', null, '0000-00-00 00:00:00'), ('7', 'AO', 'Angola', '', null, '0000-00-00 00:00:00'), ('8', 'AI', 'Anguilla', '', null, '0000-00-00 00:00:00'), ('9', 'AQ', 'Antarctica', '', null, '0000-00-00 00:00:00'), ('10', 'AG', 'Antigua and Barbuda', '', null, '0000-00-00 00:00:00'), ('11', 'AR', 'Argentina', '', null, '0000-00-00 00:00:00'), ('12', 'AM', 'Armenia', '', null, '0000-00-00 00:00:00'), ('13', 'AW', 'Aruba', '', null, '0000-00-00 00:00:00'), ('14', 'AU', 'Australia', '', null, '0000-00-00 00:00:00'), ('15', 'AT', 'Austria', '', null, '0000-00-00 00:00:00'), ('16', 'AZ', 'Azerbaijan', '', null, '0000-00-00 00:00:00'), ('17', 'BS', 'Bahamas', '', null, '0000-00-00 00:00:00'), ('18', 'BH', 'Bahrain', '', null, '0000-00-00 00:00:00'), ('19', 'BD', 'Bangladesh', '', null, '0000-00-00 00:00:00'), ('20', 'BB', 'Barbados', '', null, '0000-00-00 00:00:00'), ('21', 'BY', 'Belarus', '', null, '0000-00-00 00:00:00'), ('22', 'BE', 'Belgium', '', null, '0000-00-00 00:00:00'), ('23', 'BZ', 'Belize', '', null, '0000-00-00 00:00:00'), ('24', 'BJ', 'Benin', '', null, '0000-00-00 00:00:00'), ('25', 'BM', 'Bermuda', '', null, '0000-00-00 00:00:00'), ('26', 'BT', 'Bhutan', '', null, '0000-00-00 00:00:00'), ('27', 'BO', 'Bolivia', '', null, '0000-00-00 00:00:00'), ('28', 'BA', 'Bosnia and Herzegovina', '', null, '0000-00-00 00:00:00'), ('29', 'BW', 'Botswana', '', null, '0000-00-00 00:00:00'), ('30', 'BV', 'Bouvet Island', '', null, '0000-00-00 00:00:00'), ('31', 'BR', 'Brazil', '', null, '0000-00-00 00:00:00'), ('32', 'IO', 'British Indian Ocean Territory', '', null, '0000-00-00 00:00:00'), ('33', 'BN', 'Brunei Darussalam', '', null, '0000-00-00 00:00:00'), ('34', 'BG', 'Bulgaria', '', null, '0000-00-00 00:00:00'), ('35', 'BF', 'Burkina Faso', '', null, '0000-00-00 00:00:00'), ('36', 'BI', 'Burundi', '', null, '0000-00-00 00:00:00'), ('37', 'KH', 'Cambodia', '', null, '0000-00-00 00:00:00'), ('38', 'CM', 'Cameroon', '', null, '0000-00-00 00:00:00'), ('39', 'CA', 'Canada', '', null, '0000-00-00 00:00:00'), ('40', 'CV', 'Cape Verde', '', null, '0000-00-00 00:00:00'), ('41', 'KY', 'Cayman Islands', '', null, '0000-00-00 00:00:00'), ('42', 'CF', 'Central African Republic', '', null, '0000-00-00 00:00:00'), ('43', 'TD', 'Chad', '', null, '0000-00-00 00:00:00'), ('44', 'CL', 'Chile', '', null, '0000-00-00 00:00:00'), ('45', 'CN', 'China', '', null, '0000-00-00 00:00:00'), ('46', 'CX', 'Christmas Island', '', null, '0000-00-00 00:00:00'), ('47', 'CC', 'Cocos (keeling) Islands', '', null, '0000-00-00 00:00:00'), ('48', 'CO', 'Colombia', '', null, '0000-00-00 00:00:00'), ('49', 'KM', 'Comoros', '', null, '0000-00-00 00:00:00'), ('50', 'CG', 'Congo', '', null, '0000-00-00 00:00:00'), ('51', 'CD', 'Congo, The Democratic Republic Of The', '', null, '0000-00-00 00:00:00'), ('52', 'CK', 'Cook Islands', '', null, '0000-00-00 00:00:00'), ('53', 'CR', 'Costa Rica', '', null, '0000-00-00 00:00:00'), ('54', 'CI', 'Cook Islands', '', null, '0000-00-00 00:00:00'), ('55', 'HR', 'Croatia', '', null, '0000-00-00 00:00:00'), ('56', 'CU', 'Cuba', '', null, '0000-00-00 00:00:00'), ('57', 'CY', 'Cyprus', '', null, '0000-00-00 00:00:00'), ('58', 'CZ', 'Czech Republic', '', null, '0000-00-00 00:00:00'), ('59', 'DK', 'Denmark', '', null, '0000-00-00 00:00:00'), ('60', 'DJ', 'Djibouti', '', null, '0000-00-00 00:00:00'), ('61', 'DM', 'Dominica', '', null, '0000-00-00 00:00:00'), ('62', 'DO', 'Dominican Republic', '', null, '0000-00-00 00:00:00'), ('63', 'EC', 'Ecuador', '', null, '0000-00-00 00:00:00'), ('64', 'EG', 'Egypt', '', null, '0000-00-00 00:00:00'), ('65', 'SV', 'El Salvador', '', null, '0000-00-00 00:00:00'), ('66', 'GQ', 'Equatorial Guinea', '', null, '0000-00-00 00:00:00'), ('67', 'ER', 'Eritrea', '', null, '0000-00-00 00:00:00'), ('68', 'EE', 'Estonia', '', null, '0000-00-00 00:00:00'), ('69', 'ET', 'Ethiopia', '', null, '0000-00-00 00:00:00'), ('70', 'FK', 'Falkland Islands (Malvinas)', '', null, '0000-00-00 00:00:00'), ('71', 'FO', 'Faroe Islands', '', null, '0000-00-00 00:00:00'), ('72', 'FJ', 'Fiji', '', null, '0000-00-00 00:00:00'), ('73', 'FI', 'Finland', '', null, '0000-00-00 00:00:00'), ('74', 'FR', 'France', '', null, '0000-00-00 00:00:00'), ('75', 'GF', 'French Guiana', '', null, '0000-00-00 00:00:00'), ('76', 'PF', 'French Polynesia', '', null, '0000-00-00 00:00:00'), ('77', 'TF', 'French Southern Territories', '', null, '0000-00-00 00:00:00'), ('78', 'GA', 'Gabon', '', null, '0000-00-00 00:00:00'), ('79', 'GM', 'Gambia', '', null, '0000-00-00 00:00:00'), ('80', 'GE', 'Georgia', '', null, '0000-00-00 00:00:00'), ('81', 'DE', 'Germany', '', null, '0000-00-00 00:00:00'), ('82', 'GH', 'Ghana', '', null, '0000-00-00 00:00:00'), ('83', 'GI', 'Gibraltar', '', null, '0000-00-00 00:00:00'), ('84', 'GR', 'Greece', '', null, '0000-00-00 00:00:00'), ('85', 'GL', 'Greenland', '', null, '0000-00-00 00:00:00'), ('86', 'GD', 'Grenada', '', null, '0000-00-00 00:00:00'), ('87', 'GP', 'Guadeloupe', '', null, '0000-00-00 00:00:00'), ('88', 'GU', 'Guam', '', null, '0000-00-00 00:00:00'), ('89', 'GT', 'Guatemala', '', null, '0000-00-00 00:00:00'), ('90', 'GG', 'Guernsey', '', null, '0000-00-00 00:00:00'), ('91', 'GN', 'Guinea', '', null, '0000-00-00 00:00:00'), ('92', 'GW', 'Guinea-bissau', '', null, '0000-00-00 00:00:00'), ('93', 'GY', 'Guyana', '', null, '0000-00-00 00:00:00'), ('94', 'HT', 'Haiti', '', null, '0000-00-00 00:00:00'), ('95', 'HM', 'Heard Island and McDonald Islands', '', null, '0000-00-00 00:00:00'), ('96', 'HN', 'Honduras', '', null, '0000-00-00 00:00:00'), ('97', 'HK', 'Hong Kong', '', null, '0000-00-00 00:00:00'), ('98', 'HU', 'Hungary', '', null, '0000-00-00 00:00:00'), ('99', 'IS', 'Iceland', '', null, '0000-00-00 00:00:00'), ('100', 'IN', 'India', '', null, '0000-00-00 00:00:00'), ('101', 'ID', 'Indonesia', '', null, '0000-00-00 00:00:00'), ('102', 'IR', 'Iran, Islamic Republic Of', '', null, '0000-00-00 00:00:00'), ('103', 'IQ', 'Iraq', '', null, '0000-00-00 00:00:00'), ('104', 'IE', 'Ireland', '', null, '0000-00-00 00:00:00'), ('105', 'IM', 'Isle Of Man', '', null, '0000-00-00 00:00:00'), ('106', 'IL', 'Israel', '', null, '0000-00-00 00:00:00'), ('107', 'IT', 'Italy', '', null, '0000-00-00 00:00:00'), ('108', 'JM', 'Jamaica', '', null, '0000-00-00 00:00:00'), ('109', 'JP', 'Japan', '', null, '0000-00-00 00:00:00'), ('110', 'JE', 'Jersey', '', null, '0000-00-00 00:00:00'), ('111', 'JO', 'Jordan', '', null, '0000-00-00 00:00:00'), ('112', 'KZ', 'Kazakhstan', '', null, '0000-00-00 00:00:00'), ('113', 'KE', 'Kenya', '', null, '0000-00-00 00:00:00'), ('114', 'KI', 'Kiribati', '', null, '0000-00-00 00:00:00'), ('115', 'KP', 'Korea, Democratic People\'s Republic Of', '', null, '0000-00-00 00:00:00'), ('116', 'KR', 'Korea, Republic Of', '', null, '0000-00-00 00:00:00'), ('117', 'KW', 'Kuwait', '', null, '0000-00-00 00:00:00'), ('118', 'KG', 'Kyrgyzstan', '', null, '0000-00-00 00:00:00'), ('119', 'LA', 'Lao People\'s Democratic Republic', '', null, '0000-00-00 00:00:00'), ('120', 'LV', 'Latvia', '', null, '0000-00-00 00:00:00'), ('121', 'LB', 'Lebanon', '', null, '0000-00-00 00:00:00'), ('122', 'LS', 'Lesotho', '', null, '0000-00-00 00:00:00'), ('123', 'LR', 'Liberia', '', null, '0000-00-00 00:00:00'), ('124', 'LY', 'Libyan Arab Jamahiriya', '', null, '0000-00-00 00:00:00'), ('125', 'LI', 'Liechtenstein', '', null, '0000-00-00 00:00:00'), ('126', 'LT', 'Lithuania', '', null, '0000-00-00 00:00:00'), ('127', 'LU', 'Luxembourg', '', null, '0000-00-00 00:00:00'), ('128', 'MO', 'Macao', '', null, '0000-00-00 00:00:00'), ('129', 'MK', 'Macedonia, The Former Yugoslav Republic Of', '', null, '0000-00-00 00:00:00'), ('130', 'MG', 'Madagascar', '', null, '0000-00-00 00:00:00'), ('131', 'MW', 'Malawi', '', null, '0000-00-00 00:00:00'), ('132', 'MY', 'Malaysia', '', null, '0000-00-00 00:00:00'), ('133', 'MV', 'Maldives', '', null, '0000-00-00 00:00:00'), ('134', 'ML', 'Mali', '', null, '0000-00-00 00:00:00'), ('135', 'MT', 'Malta', '', null, '0000-00-00 00:00:00'), ('136', 'MH', 'Marshall Islands', '', null, '0000-00-00 00:00:00'), ('137', 'MQ', 'Martinique', '', null, '0000-00-00 00:00:00'), ('138', 'MR', 'Mauritania', '', null, '0000-00-00 00:00:00'), ('139', 'MU', 'Mauritius', '', null, '0000-00-00 00:00:00'), ('140', 'YT', 'Mayotte', '', null, '0000-00-00 00:00:00'), ('141', 'MX', 'Mexico', '', null, '0000-00-00 00:00:00'), ('142', 'FM', 'Micronesia, Federated States Of', '', null, '0000-00-00 00:00:00'), ('143', 'MD', 'Moldova', '', null, '0000-00-00 00:00:00'), ('144', 'MC', 'Monaco', '', null, '0000-00-00 00:00:00'), ('145', 'MN', 'Mongolia', '', null, '0000-00-00 00:00:00'), ('146', 'ME', 'Montenegro', '', null, '0000-00-00 00:00:00'), ('147', 'MS', 'Montserrat', '', null, '0000-00-00 00:00:00'), ('148', 'MA', 'Morocco', '', null, '0000-00-00 00:00:00'), ('149', 'MZ', 'Mozambique', '', null, '0000-00-00 00:00:00'), ('150', 'MM', 'Myanmar', '', null, '0000-00-00 00:00:00'), ('151', 'NA', 'Namibia', '', null, '0000-00-00 00:00:00'), ('152', 'NR', 'Nauru', '', null, '0000-00-00 00:00:00'), ('153', 'NP', 'Nepal', '', null, '0000-00-00 00:00:00'), ('154', 'NL', 'Netherlands', '', null, '0000-00-00 00:00:00'), ('155', 'AN', 'Netherlands Antilles', '', null, '0000-00-00 00:00:00'), ('156', 'NC', 'New Caledonia', '', null, '0000-00-00 00:00:00'), ('157', 'NZ', 'New Zealand', '', null, '0000-00-00 00:00:00'), ('158', 'NI', 'Nicaragua', '', null, '0000-00-00 00:00:00'), ('159', 'NE', 'Niger', '', null, '0000-00-00 00:00:00'), ('160', 'NG', 'Nigeria', '', null, '0000-00-00 00:00:00'), ('161', 'NU', 'Niue', '', null, '0000-00-00 00:00:00'), ('162', 'NF', 'Norfolk Island', '', null, '0000-00-00 00:00:00'), ('163', 'MP', 'Northern Mariana Islands', '', null, '0000-00-00 00:00:00'), ('164', 'NO', 'Norway', '', null, '0000-00-00 00:00:00'), ('165', 'OM', 'Oman', '', null, '0000-00-00 00:00:00'), ('166', 'PK', 'Pakistan', '', null, '0000-00-00 00:00:00'), ('167', 'PW', 'Palau', '', null, '0000-00-00 00:00:00'), ('168', 'PS', 'Palestinian Territory, Occupied', '', null, '0000-00-00 00:00:00'), ('169', 'PA', 'Panama', '', null, '0000-00-00 00:00:00'), ('170', 'PG', 'Papua New Guinea', '', null, '0000-00-00 00:00:00'), ('171', 'PY', 'Paraguay', '', null, '0000-00-00 00:00:00'), ('172', 'PE', 'Peru', '', null, '0000-00-00 00:00:00'), ('173', 'PH', 'Philippines', '', null, '0000-00-00 00:00:00'), ('174', 'PN', 'Pitcairn', '', null, '0000-00-00 00:00:00'), ('175', 'PL', 'Poland', '', null, '0000-00-00 00:00:00'), ('176', 'PT', 'Portugal', '', null, '0000-00-00 00:00:00'), ('177', 'PR', 'Puerto Rico', '', null, '0000-00-00 00:00:00'), ('178', 'QA', 'Qatar', '', null, '0000-00-00 00:00:00'), ('179', 'RE', 'Reunion Island', '', null, '0000-00-00 00:00:00'), ('180', 'RO', 'Romania', '', null, '0000-00-00 00:00:00'), ('181', 'RU', 'Russian Federation', '', null, '0000-00-00 00:00:00'), ('182', 'RW', 'Rwanda', '', null, '0000-00-00 00:00:00'), ('183', 'BL', 'Saint Barth', '', null, '0000-00-00 00:00:00'), ('184', 'SH', 'Saint Helena', '', null, '0000-00-00 00:00:00'), ('185', 'KN', 'Saint Kitts and Nevis', '', null, '0000-00-00 00:00:00'), ('186', 'LC', 'Saint Lucia', '', null, '0000-00-00 00:00:00'), ('187', 'MF', 'Saint Martin', '', null, '0000-00-00 00:00:00'), ('188', 'PM', 'Saint Pierre and Miquelon', '', null, '0000-00-00 00:00:00'), ('189', 'VC', 'Saint Vincent and The Grenadines', '', null, '0000-00-00 00:00:00'), ('190', 'WS', 'Samoa', '', null, '0000-00-00 00:00:00'), ('191', 'SM', 'San Marino', '', null, '0000-00-00 00:00:00'), ('192', 'ST', 'Sao Tome and Principe', '', null, '0000-00-00 00:00:00'), ('193', 'SA', 'Saudi Arabia', '', null, '0000-00-00 00:00:00'), ('194', 'SN', 'Senegal', '', null, '0000-00-00 00:00:00'), ('195', 'RS', 'Serbia', '', null, '0000-00-00 00:00:00'), ('196', 'SC', 'Seychelles', '', null, '0000-00-00 00:00:00'), ('197', 'SL', 'Sierra Leone', '', null, '0000-00-00 00:00:00'), ('198', 'SG', 'Singapore', '', null, '0000-00-00 00:00:00'), ('199', 'SK', 'Slovakia', '', null, '0000-00-00 00:00:00'), ('200', 'SI', 'Slovenia', '', null, '0000-00-00 00:00:00'), ('201', 'SB', 'Solomon Islands', '', null, '0000-00-00 00:00:00'), ('202', 'SO', 'Somalia', '', null, '0000-00-00 00:00:00'), ('203', 'ZA', 'South Africa', '', null, '0000-00-00 00:00:00'), ('204', 'GS', 'South Georgia and The South Sandwich Islands', '', null, '0000-00-00 00:00:00'), ('205', 'ES', 'Spain', '', null, '0000-00-00 00:00:00'), ('206', 'LK', 'Sri Lanka', '', null, '0000-00-00 00:00:00'), ('207', 'SD', 'Sudan', '', null, '0000-00-00 00:00:00'), ('208', 'SR', 'Suriname', '', null, '0000-00-00 00:00:00'), ('209', 'SJ', 'Svalbard and Jan Mayen', '', null, '0000-00-00 00:00:00'), ('210', 'SZ', 'Swaziland', '', null, '0000-00-00 00:00:00'), ('211', 'SE', 'Sweden', '', null, '0000-00-00 00:00:00'), ('212', 'CH', 'Switzerland', '', null, '0000-00-00 00:00:00'), ('213', 'SY', 'Syrian Arab Republic', '', null, '0000-00-00 00:00:00'), ('214', 'TW', 'Taiwan, Province Of China', '', null, '0000-00-00 00:00:00'), ('215', 'TJ', 'Tajikistan', '', null, '0000-00-00 00:00:00'), ('216', 'TZ', 'Tanzania, United Republic Of', '', null, '0000-00-00 00:00:00'), ('217', 'TH', 'Thailand', '', null, '0000-00-00 00:00:00'), ('218', 'TL', 'Timor-leste', '', null, '0000-00-00 00:00:00'), ('219', 'TG', 'Togo', '', null, '0000-00-00 00:00:00'), ('220', 'TK', 'Tokelau', '', null, '0000-00-00 00:00:00'), ('221', 'TO', 'Tonga', '', null, '0000-00-00 00:00:00'), ('222', 'TT', 'Trinidad and Tobago', '', null, '0000-00-00 00:00:00'), ('223', 'TN', 'Tunisia', '', null, '0000-00-00 00:00:00'), ('224', 'TR', 'Turkey', '', null, '0000-00-00 00:00:00'), ('225', 'TM', 'Turkmenistan', '', null, '0000-00-00 00:00:00'), ('226', 'TC', 'Turks and Caicos Islands', '', null, '0000-00-00 00:00:00'), ('227', 'TV', 'Tuvalu', '', null, '0000-00-00 00:00:00'), ('228', 'UG', 'Uganda', '', null, '0000-00-00 00:00:00'), ('229', 'UA', 'Ukraine', '', null, '0000-00-00 00:00:00'), ('230', 'AE', 'United Arab Emirates', '', null, '0000-00-00 00:00:00'), ('231', 'GB', 'United Kingdom', '', null, '0000-00-00 00:00:00'), ('232', 'US', 'United States', '', null, '0000-00-00 00:00:00'), ('233', 'UM', 'United States Minor Outlying Islands', '', null, '0000-00-00 00:00:00'), ('234', 'UY', 'Uruguay', '', null, '0000-00-00 00:00:00'), ('235', 'UZ', 'Uzbekistan', '', null, '0000-00-00 00:00:00'), ('236', 'VU', 'Vanuatu', '', null, '0000-00-00 00:00:00'), ('237', 'VA', 'Vatican City State', '', null, '0000-00-00 00:00:00'), ('238', 'VE', 'Venezuela', '', null, '0000-00-00 00:00:00'), ('239', 'VN', 'Viet Nam', '', null, '0000-00-00 00:00:00'), ('240', 'VG', 'Virgin Islands, British', '', null, '0000-00-00 00:00:00'), ('241', 'VI', 'Virgin Islands, U.S.', '', null, '0000-00-00 00:00:00'), ('242', 'WF', 'Wallis and Futuna', '', null, '0000-00-00 00:00:00'), ('243', 'EH', 'Western Sahara', '', null, '0000-00-00 00:00:00'), ('244', 'YE', 'Yemen', '', null, '0000-00-00 00:00:00'), ('245', 'ZM', 'Zambia', '', null, '0000-00-00 00:00:00'), ('246', 'ZW', 'Zimbabwe', '', null, '0000-00-00 00:00:00'), ('247', 'XX', 'Xanadu', '', null, '0000-00-00 00:00:00');
COMMIT;
SET FOREIGN_KEY_CHECKS = 1;
|
-- phpMyAdmin SQL Dump
-- version 4.7.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Nov 29, 2017 at 02:03 PM
-- Server version: 10.1.26-MariaDB
-- PHP Version: 7.0.22
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `lms`
--
DELIMITER $$
--
-- Procedures
--
CREATE DEFINER=`root`@`localhost` PROCEDURE `Get_books` () BEGIN
select * from add_books;
END$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Table structure for table `add_books`
--
CREATE TABLE `add_books` (
`id` int(5) NOT NULL,
`books_name` varchar(50) NOT NULL,
`books_image` varchar(500) NOT NULL,
`books_author_name` varchar(50) NOT NULL,
`books_publication_name` varchar(50) NOT NULL,
`books_purchase_date` varchar(50) NOT NULL,
`books_price` varchar(50) NOT NULL,
`books_qty` varchar(50) NOT NULL,
`available_qty` varchar(50) NOT NULL,
`librarian_username` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `add_books`
--
INSERT INTO `add_books` (`id`, `books_name`, `books_image`, `books_author_name`, `books_publication_name`, `books_purchase_date`, `books_price`, `books_qty`, `available_qty`, `librarian_username`) VALUES
(1, 'java', 'books_image/988bdb79c8d48e59914637085df62c48java7th.jpg', '<NAME>', '<NAME>', '01-11-2017', '750', '50', '50', 'abc'),
(2, 'control systems', 'books_image/54964fc1c841c3b04b6deb7fb1eef916control systems2ndEdition.jpg', '<NAME>', 'RBA Publications', '21-09-2017', '360', '50', '50', 'admin'),
(3, 'mastering cloud computing', 'books_image/e71ae403b505580ea36a08308abb51edcloud computing.jpg', '<NAME>', 'mk publication', '22-08-2017', '530', '30', '29', 'admin'),
(5, 'digital electronics', 'books_image/cdc12f95dce5b2feefdd7cb32a070c0ddigi elect godsey.jpg', 'godsy', 'technical publications', '12-12-2015', '500', '35', '35', 'admin'),
(11, 'maths-4', 'books_image/d9a32ba219c09f1ea8a3905d132e7fd6ksc m4.jpg', 'ksc', 'shubas', '12-4-2016', '300', '33', '33', 'admin');
--
-- Triggers `add_books`
--
DELIMITER $$
CREATE TRIGGER `oollddss` AFTER INSERT ON `add_books` FOR EACH ROW BEGIN
INSERT INTO old_books VALUES(NEW.id,NEW.books_name,NEW.books_image,NEW.books_author_name,NEW.books_publication_name,NEW.books_purchase_date,NEW.books_price);
END
$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Table structure for table `feedback`
--
CREATE TABLE `feedback` (
`id` int(5) NOT NULL,
`enrollment_no` varchar(50) NOT NULL,
`name` varchar(50) NOT NULL,
`sem` varchar(10) NOT NULL,
`comment` varchar(1000) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `feedback`
--
INSERT INTO `feedback` (`id`, `enrollment_no`, `name`, `sem`, `comment`) VALUES
(2, '1mj15is038', 'tejus', '5', 'qwertyuiopsdfghjk\r\n '),
(3, '1mj15is039', 'varsha', '5', 'no java books available\r\n '),
(4, '1mj15is022', 'sdfg', '5', 'sdefrtghyj\r\n '),
(5, '1mj15is052', 'sandy', '5', 'wedrftgyhuji\r\n '),
(6, '1mj15ch003', 'kupla', '5', 'qwertyuiopsdfghjklsdfghjkldfghj\r\n '),
(7, '1mj15is008', 'aaliya', '5', 'qwertyuiop\r\n '),
(8, '1mj15is030', 'sneha', '5', 'qwertyuiop\r\n ');
-- --------------------------------------------------------
--
-- Table structure for table `issue_books`
--
CREATE TABLE `issue_books` (
`id` int(5) NOT NULL,
`student_enrollment` varchar(50) NOT NULL,
`student_name` varchar(50) NOT NULL,
`student_sem` varchar(50) NOT NULL,
`student_contact` varchar(50) NOT NULL,
`student_email` varchar(50) NOT NULL,
`books_name` varchar(50) NOT NULL,
`books_issue_date` varchar(50) NOT NULL,
`books_return_date` varchar(50) NOT NULL,
`student_username` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `issue_books`
--
INSERT INTO `issue_books` (`id`, `student_enrollment`, `student_name`, `student_sem`, `student_contact`, `student_email`, `books_name`, `books_issue_date`, `books_return_date`, `student_username`) VALUES
(19, '1mj15is038', '<NAME>', '5', '9901766818', '<EMAIL>', 'java', '13/11/2017', '13/11/2017', ' teju'),
(20, '1mj15is038', '<NAME>', '5', '9901766818', '<EMAIL>', 'java', '13/11/2017', '17/11/2017', ' teju'),
(21, '1mj15is052', '<NAME>', '5', '9739301133', '<EMAIL>', 'control systems', '15/11/2017', '15/11/2017', ' Sandy'),
(22, '1mj15ch003', '<NAME>', '5', '7760365658', '<EMAIL>', 'control systems', '16/11/2017', '16/11/2017', ' kupla'),
(24, '1mj15is008', '<NAME>', '5', '78952147', '<EMAIL>', 'java', '17/11/2017', '17/11/2017', ' aaliya'),
(25, '1mj15is038', '<NAME>', '5', '9901766818', '<EMAIL>', 'java', '17/11/2017', '17/11/2017', ' teju'),
(26, '1mj15is030', '<NAME>', '5', '1234567890', '<EMAIL>', 'maths-4', '25/11/2017', '25/11/2017', ' sneha'),
(27, '1mj15ml007', '<NAME>', '5', '9686352148', '<EMAIL>', 'mastering cloud computing', '25/11/2017', '', ' NIKKI');
-- --------------------------------------------------------
--
-- Table structure for table `librarian_registration`
--
CREATE TABLE `librarian_registration` (
`id` int(5) NOT NULL,
`firstname` varchar(50) NOT NULL,
`lastname` varchar(50) NOT NULL,
`username` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`email` varchar(50) NOT NULL,
`contact` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `librarian_registration`
--
INSERT INTO `librarian_registration` (`id`, `firstname`, `lastname`, `username`, `password`, `email`, `contact`) VALUES
(1, 'abc', 'def', 'abc', 'def', '<EMAIL>', '1234512345'),
(2, 'admin', 'gowda', 'admin', 'admin', '<EMAIL>', '9901766818');
-- --------------------------------------------------------
--
-- Table structure for table `messages`
--
CREATE TABLE `messages` (
`id` int(5) NOT NULL,
`susername` varchar(50) NOT NULL,
`dusername` varchar(50) NOT NULL,
`title` varchar(100) NOT NULL,
`msg` varchar(500) NOT NULL,
`read1` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `messages`
--
INSERT INTO `messages` (`id`, `susername`, `dusername`, `title`, `msg`, `read1`) VALUES
(1, 'admin', 'teju', 'dsfgh', 'sdfgrthyju\r\n ', 'y'),
(2, 'admin', 'Sandy', '<PASSWORD>', 'wertyuiop\r\n ', 'y'),
(3, 'admin', 'kupla', 'date out ', 'return books on 21\r\n ', 'y'),
(4, 'admin', 'aaliya', 'qwedrftghyjk', 'sdfrgthyj\r\n ', 'y'),
(5, 'admin', 'sneha', 'qwertyuio', 'werfgthjmk,sdcfvbgn\r\n ', 'y');
-- --------------------------------------------------------
--
-- Table structure for table `old_books`
--
CREATE TABLE `old_books` (
`id` int(5) NOT NULL,
`books_name` varchar(50) NOT NULL,
`books_image` varchar(500) NOT NULL,
`books_author_name` varchar(50) NOT NULL,
`books_publication_name` varchar(50) NOT NULL,
`books_purchase_date` varchar(50) NOT NULL,
`books_price` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `old_books`
--
INSERT INTO `old_books` (`id`, `books_name`, `books_image`, `books_author_name`, `books_publication_name`, `books_purchase_date`, `books_price`) VALUES
(1, 'java', 'books_image/988bdb79c8d48e59914637085df62c48java7th.jpg', '<NAME>', '<NAME>', '01-11-2017', '750'),
(2, 'control systems', 'books_image/54964fc1c841c3b04b6deb7fb1eef916control systems2ndEdition.jpg', '<NAME>', 'RBA Publications', '21-09-2017', '360'),
(3, 'mastering cloud computing', 'books_image/e71ae403b505580ea36a08308abb51edcloud computing.jpg', '<NAME>', 'mk publication', '22-08-2017', '530'),
(5, 'digital electronics', 'books_image/cdc12f95dce5b2feefdd7cb32a070c0ddigi elect godsey.jpg', 'godsy', 'technical publications', '12-12-2015', '500'),
(11, 'maths-4', 'books_image/d9a32ba219c09f1ea8a3905d132e7fd6ksc m4.jpg', 'ksc', 'shubas', '12-4-2016', '300');
-- --------------------------------------------------------
--
-- Table structure for table `student_registration`
--
CREATE TABLE `student_registration` (
`id` int(5) NOT NULL,
`firstname` varchar(50) NOT NULL,
`lastname` varchar(50) NOT NULL,
`username` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`email` varchar(50) NOT NULL,
`contact` varchar(50) NOT NULL,
`sem` varchar(50) NOT NULL,
`enrollment` varchar(50) NOT NULL,
`status` varchar(5) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `student_registration`
--
INSERT INTO `student_registration` (`id`, `firstname`, `lastname`, `username`, `password`, `email`, `contact`, `sem`, `enrollment`, `status`) VALUES
(1, 'tejus', 'ravi', 'teju', '1234', '<EMAIL>', '9901766818', '5', '1mj15is038', 'yes'),
(5, 'sampreet', 'kumar', 'sampu', '121212', '<EMAIL>', '1234567890', '5', '1mj15is026', 'yes'),
(6, 'nikhil', 'thomas', 'NIKKI', 'nik@1997', '<EMAIL>', '9686352148', '5', '1mj15ml007', 'yes'),
(7, 'varun', 'vishwanath', 'varun', '121212', '<EMAIL>', '12345612345', '5', '1mj15is040', 'yes'),
(8, 'pannaga', 'krishna ', 'krish', '9480', '<EMAIL>', '8660191266', '5', '1mj15ec080', 'yes'),
(9, 'swarna ', 'reddy', 'giddu', '0391', '<EMAIL>', '100', '5', '1mj15is036', 'yes'),
(10, 'ajay', 'kumar', 'ajay', '1234', '<EMAIL>', '5911561', '5', '1mj15is003', 'yes'),
(11, 'karthik ', 'aj', 'karthik', '1111', '<EMAIL>', '9977889977', '5', '1mj15is016', 'yes'),
(12, 'varsha', '<NAME>', 'pouts', '12345', '<EMAIL>', '123123445', '5', '1mj15is039', 'yes'),
(13, 'bhavana', 'srihari', 'bavs', '1212', '<EMAIL>', '12321321', '5', '1mj15is015', 'yes'),
(14, 'sumir', 'ramesh', 'sumir', 'sumir55', '<EMAIL>', '9741075760', '5', '1mj15ml016', 'yes'),
(15, 'chandhan', 'kamal', 'chandhu', 'chan', '<EMAIL>', '1234567890', '5', '1mj15is009', 'yes'),
(17, 'dheeraj', 'board', 'dheeraj', '112211', '<EMAIL>', '123456789', '5', '1mj15is013', 'yes'),
(18, 'abc', 's', 'abc', '1234', '<EMAIL>', '12345678', '5', '1mj14is045', 'yes'),
(19, 'sandeep', 'KM', 'Sandy', 'Sandylms', '<EMAIL>', '9739301133', '5', '1mj15is052', 'yes'),
(20, 'anirudh ', 'poojary', 'kupla', 'kupla@123', '<EMAIL>', '7760365658', '5', '1mj15ch003', 'yes'),
(21, 'arbin', 'taj', 'aaliya', 'aaloo', '<EMAIL>', '78952147', '5', '1mj15is008', 'yes'),
(22, 'sneha', 'as', 'sneha', '121212', '<EMAIL>', '1234567890', '5', '1mj15is030', 'yes');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `add_books`
--
ALTER TABLE `add_books`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `feedback`
--
ALTER TABLE `feedback`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `issue_books`
--
ALTER TABLE `issue_books`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `librarian_registration`
--
ALTER TABLE `librarian_registration`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `messages`
--
ALTER TABLE `messages`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `old_books`
--
ALTER TABLE `old_books`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `student_registration`
--
ALTER TABLE `student_registration`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `add_books`
--
ALTER TABLE `add_books`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT for table `feedback`
--
ALTER TABLE `feedback`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `issue_books`
--
ALTER TABLE `issue_books`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=28;
--
-- AUTO_INCREMENT for table `librarian_registration`
--
ALTER TABLE `librarian_registration`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `messages`
--
ALTER TABLE `messages`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `old_books`
--
ALTER TABLE `old_books`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT for table `student_registration`
--
ALTER TABLE `student_registration`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=23;
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 */;
|
INSERT INTO BPM_CONF_BASE(ID,PROCESS_DEFINITION_KEY,PROCESS_DEFINITION_VERSION) VALUES(1,'vacation',1);
INSERT INTO BPM_CONF_BASE(ID,PROCESS_DEFINITION_KEY,PROCESS_DEFINITION_VERSION) VALUES(2,'publish',1);
INSERT INTO BPM_CONF_BASE(ID,PROCESS_DEFINITION_KEY,PROCESS_DEFINITION_VERSION) VALUES(3,'permission',1);
UPDATE BPM_PROCESS SET CONF_BASE_ID=1 WHERE ID=1;
UPDATE BPM_PROCESS SET CONF_BASE_ID=2 WHERE ID=2;
UPDATE BPM_PROCESS SET CONF_BASE_ID=3 WHERE ID=3;
UPDATE BPM_PROCESS SET CODE='vacation' WHERE ID=1;
UPDATE BPM_PROCESS SET CODE='publish' WHERE ID=2;
UPDATE BPM_PROCESS SET CODE='permission' WHERE ID=3;
|
\connect mybase
INSERT INTO type_order(
type_id, name)
VALUES (1,'buy');
INSERT INTO type_order(
type_id, name)
VALUES (2, 'sale');
INSERT INTO status_order(
status_id, name)
VALUES (1, 'new');
INSERT INTO status_order(
status_id, name)
VALUES (2, 'in proccess');
INSERT INTO status_order(
status_id, name)
VALUES (3, 'close');
INSERT INTO status_order(
status_id, name)
VALUES (4, 'reject');
INSERT INTO role_rights(
rights_id, write, read)
VALUES (1, true, false);
INSERT INTO role_rights(
rights_id, write, read)
VALUES (2, false, true);
INSERT INTO role_rights(
rights_id, write, read)
VALUES (3, true, true);
INSERT INTO role_rights(
rights_id, write, read)
VALUES (4, false, false);
INSERT INTO role(
role_id, name, rights_id)
VALUES (1, 'administrator', 3);
INSERT INTO role(
role_id, name, rights_id)
VALUES (2, 'manager', 2);
INSERT INTO users(
user_id, login, password, create_date, role_id)
VALUES (1, '<NAME>', '12345', '2016-11-07 04:05:06', 1);
INSERT INTO users(
user_id, login, password, create_date, role_id)
VALUES (2, '<NAME>', '12345', '2016-11-07 04:05:06', 2);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (1, '2016-11-07 04:05:06', '1', 1, 1, 1);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (2, '2016-10-07 04:05:06', '2', 1, 2, 1);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (3, '2016-11-04 04:05:06', '3', 2, 3, 1);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (4, '2016-11-03 04:05:06', '4', 1, 4, 2);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (5, '2016-11-05 04:05:06', '5', 2, 1, 2);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (6, '2016-11-02 04:05:06', '6', 1, 3, 1);
INSERT INTO orders(
order_id, date_order, number_order, type_id, status_id, user_id)
VALUES (7, '2016-11-01 04:05:06', '7', 2, 4, 2);
INSERT INTO commentary_orders(
comment_id, message, order_id)
VALUES (1, 'he wants lose weight', 1);
INSERT INTO commentary_orders(
comment_id, message, order_id)
VALUES (2, 'Baseball pig', 2);
INSERT INTO commentary_orders(
comment_id, message, order_id)
VALUES (3, 'There is a fat man', 5);
INSERT INTO commentary_orders(
comment_id, message, order_id)
VALUES (4, 'The man is very fat', 5);
INSERT INTO attached_files_orders(
attached_id, file_path, order_id)
VALUES (1, 'c:\windows', 1); |
<reponame>BuildJet/sat4envi
CREATE TABLE schema (
id BIGSERIAL PRIMARY KEY,
name VARCHAR UNIQUE NOT NULL,
type VARCHAR NOT NULL,
content VARCHAR NOT NULL,
previous_id BIGINT REFERENCES schema
);
ALTER TABLE product
ADD COLUMN scene_schema_id BIGINT REFERENCES schema,
ADD COLUMN metadata_schema_id BIGINT REFERENCES schema,
ADD COLUMN granule_artifact VARCHAR,
ADD COLUMN searchable_metadata JSONB;
ALTER TABLE scene
ADD COLUMN scene_content JSONB,
ADD COLUMN metadata_content JSONB;
|
ALTER TABLE "public"."publications" ADD COLUMN "source_id" text NULL; |
SELECT
N.ID,
R.NUMBER,
N.CURRENT_REV_NUM,
N.CREATED_BY,
N.CREATED_ON,
N.ETAG, N.NAME,
N.NODE_TYPE,
N.PARENT_ID,
getEntityBenefactorId(N.ID),
getEntityProjectId(N.ID),
R.MODIFIED_BY,
R.MODIFIED_ON,
R.FILE_HANDLE_ID,
R.USER_ANNOTATIONS,
F.CONTENT_SIZE,
F.BUCKET_NAME,
F.CONTENT_MD5
FROM
JDONODE N
JOIN JDOREVISION R ON (N.ID = R.OWNER_NODE_ID)
LEFT JOIN FILES F ON (R.FILE_HANDLE_ID = F.ID)
WHERE N.ID IN(:NODE_IDS)
ORDER BY N.ID ASC LIMIT :limit OFFSET :offset |
ALTER TABLE "admin"."datasource" ADD COLUMN "format" character varying; |
//// CHANGE name=change0
CREATE MEMORY TABLE TABLE349(ID INTEGER NOT NULL PRIMARY KEY,FIELD1 VARCHAR(30),USERTYPE3FIELD USERTYPE3,USERTYPE6FIELD USERTYPE6,USERTYPE9FIELD USERTYPE9)
GO
|
<filename>aws-test/tests/aws_ecs_task_definition/test-turbot-query.sql<gh_stars>10-100
select task_definition_arn, title, tags, akas
from aws.aws_ecs_task_definition
where akas::text = '["{{ output.resource_aka.value }}"]'; |
<reponame>aoriens/news-service
-- The database schema description and the initial data.
-- Execute psql MYDATABASENAME -f PATH_TO_THIS_FILE to apply it.
begin;
create table config (
key varchar not null primary key,
value varchar not null
);
-- The schema version is to be incremented on every schema change.
insert into config values ('schema_version', '25');
create table mime_types (
mime_type_id serial not null primary key,
value varchar not null unique
);
-- Images are shared among news and should be considered immutable. On
-- deleting an image one should check whether other tables refer to
-- it.
create table images (
image_id serial not null primary key,
content bytea not null,
mime_type_id integer not null references mime_types
);
create table users (
user_id serial not null primary key,
first_name varchar,
last_name varchar not null,
avatar_id integer references images,
created_at timestamp with time zone not null,
is_admin boolean not null default false,
token_hash bytea not null,
-- A marker of a deleted user.
--
-- Why not deleting a user indeed? Authors and comments depend
-- on users directly. We would have to make user_id references
-- nullable, which is worse for data integrity, and comments
-- already use NULL user_id to designate an anonymous user,
-- which can behave not like a deleted user. We would create a
-- fake "deleted" user, but it is hardly easier. According to
-- the second approach, we would have to update a lot of author
-- and comment rows before deleting a user, which can be slow
-- sometimes. Marking a user with the deleted flag looks the
-- best in terms of data integrity, simplicity, and
-- performance.
--
-- A deleted user entity should be considered truly deleted
-- from the user's point of view. No information of the user
-- entity can leak to the user, except the fact that there was
-- a user formerly and it has been deleted. Entitites dependent
-- on such a user entity can stay visible to the user. Although
-- it is possible to recover a deleted user, it is not a
-- purpose of the decision.
is_deleted boolean not null default false
);
create view extended_users as
select *,
coalesce(users.first_name || ' ' || users.last_name, users.last_name) as first_to_last_name
from users;
create table authors (
author_id serial not null primary key,
user_id integer not null references users,
description varchar not null
);
create table categories (
category_id serial not null primary key,
parent_id integer references categories,
name varchar not null
);
create function descendants_of_categories_with_ids(
ids integer array
) returns table(category_id integer)
language sql
as $$
with recursive cats as (
select category_id
from categories
where category_id = any(ids)
union
select categories.category_id
from categories
join cats on categories.parent_id = cats.category_id
)
select *
from cats
$$;
create function descendants_of_categories_named_like(
patterns varchar array
) returns table(category_id integer)
language sql
as $$
with recursive cats as (
select category_id
from categories
where name ilike any(patterns)
union
select categories.category_id
from categories
join cats on categories.parent_id = cats.category_id
)
select *
from cats
$$;
create table tags (
tag_id serial not null primary key,
name varchar unique not null
);
create table news_versions (
news_version_id serial not null primary key,
title varchar not null,
body varchar not null,
-- A null author means that the author is deleted.
author_id integer references authors on delete set null,
-- A null category means an unspecified or a deleted category.
category_id integer references categories,
main_photo_id integer references images
);
create table news_versions_and_tags_relation (
news_version_id integer not null references news_versions on delete cascade,
tag_id integer not null references tags on delete cascade,
primary key (news_version_id, tag_id)
);
create function news_version_ids_connected_with_all_tags_with_ids(
required_tag_ids integer array
) returns table(news_version_id integer)
language sql
as $$
select news_version_id
from news_versions
where not exists (
select 1
from unnest(required_tag_ids) as r(required_id)
where required_id not in (
select tag_id
from news_versions_and_tags_relation as rel
where rel.news_version_id = news_versions.news_version_id
)
)
$$;
create function news_version_ids_connected_with_all_tags_like(
required_patterns varchar array
) returns table(news_version_id integer)
language sql
as $$
select news_version_id
from news_versions
where not exists (
select 1
from unnest(required_patterns) as r(required_pattern)
where not exists (
select 1
from news_versions_and_tags_relation as rel
join tags using (tag_id)
where rel.news_version_id = news_versions.news_version_id
and tags.name ilike required_pattern
)
)
$$;
create table news_versions_and_additional_photos_relation (
news_version_id integer not null references news_versions,
image_id integer not null references images,
primary key (news_version_id, image_id)
);
create table news (
news_id serial not null primary key,
news_version_id integer not null unique references news_versions,
"date" date not null
);
create table drafts (
draft_id serial not null primary key,
news_version_id integer not null unique references news_versions,
created_from_news_id integer references news(news_id)
);
create table comments (
comment_id serial not null primary key,
news_id integer not null references news,
-- NULL means anonymous user
user_id integer references users,
text varchar not null,
created_at timestamp with time zone not null
);
commit;
|
<reponame>duke-libraries/dul-hydra
insert into events (type, event_date_time, pid, summary, outcome, detail, created_at, updated_at) select preservation_events.event_type, preservation_events.event_date_time, preservation_events.linking_object_id_value, preservation_events.event_detail, preservation_events.event_outcome, preservation_events.event_outcome_detail_note, preservation_events.created_at, preservation_events.updated_at from preservation_events order by preservation_events.id;
update events set type = 'FixityCheckEvent' where type = 'fixity check';
update events set type = 'IngestionEvent' where type = 'ingestion';
update events set type = 'ValidationEvent' where type = 'validation'; |
<filename>sql/_14_mysql_compatibility_2/_07_show_statements/_05_show_index/cases/1002.sql
-- SHOW INDEX -- with multiple indexes on same column
-- two, three columns in same index
create table t1( i1 integer , i2 integer , i3 integer, i4 integer not null);
insert into t1 values (1,1,1,0);
insert into t1 values (2,2,2,0);
insert into t1 values (3,3,3,0);
insert into t1 values (4,4,4,0);
insert into t1 values (5,5,5,0);
insert into t1 values (6,6,6,0);
insert into t1 values (7,7,7,0);
insert into t1 values (8,8,8,0);
insert into t1 values (9,9,9,0);
insert into t1 values (10,10,10,0);
insert into t1 values (1,1,100,0);
insert into t1 values (1,2,0,0);
insert into t1 values (1,3,30,0);
insert into t1 values (1,4,40,0);
insert into t1 values (2,10,99,0);
insert into t1 values (3,11,101,0);
insert into t1 values (4,12,102,0);
insert into t1 values (5,13,103,0);
insert into t1 values (6,14,104,0);
insert into t1 values (7,15,105,0);
insert into t1 values (8,16,106,0);
insert into t1 values (9,17,107,0);
insert into t1 values (10,18,108,0);
insert into t1 values (2,1,21,0);
insert into t1 values (3,1,31,0);
insert into t1 values (4,1,41,0);
insert into t1 values (5,1,51,0);
insert into t1 values (6,1,61,0);
insert into t1 values (7,1,71,0);
insert into t1 values (8,1,81,0);
insert into t1 values (9,1,91,0);
insert into t1 values (10,1,111,0);
insert into t1 values (10,1,NULL,0);
insert into t1 values (NULL,1,121,0);
create index i_t1_i1 on t1(i1);
create index i_t1_i2_i1 on t1(i2,i1);
create unique index i_t1_i1_i3 on t1(i1,i3);
create unique index i_t1_i3 on t1(i3);
create index i_t1_i4 on t1(i4);
create index i_t1_i2_i1_i3 on t1 (i2,i1,i3);
create unique index i_t1_i3_i1_i2 on t1 (i3,i1,i2);
update statistics on all classes;
show index from t1;
drop table t1;
|
<filename>openGaussBase/testcase/KEYWORDS/in/Opengauss_Function_Keyword_In_Case0032.sql
-- @testpoint:openGauss保留关键字in作为 用户名，
--不带引号，合理报错
CREATE USER in PASSWORD '<PASSWORD>';
--加双引号，创建成功
drop user if exists "in";
CREATE USER "in" PASSWORD '<PASSWORD>';
--清理环境
drop user "in";
--加单引号，合理报错
CREATE USER 'in' PASSWORD '<PASSWORD>';
--加反引号，合理报错
CREATE USER `in` PASSWORD '<PASSWORD>'; |
-- phpMyAdmin SQL Dump
-- version 5.1.1
-- https://www.phpmyadmin.net/
--
-- Host: 1172.16.17.32
-- Generation Time: Jan 29, 2022 at 08:15 AM
-- Server version: 10.4.22-MariaDB
-- PHP Version: 8.0.13
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: `humainvestor`
--
-- --------------------------------------------------------
--
-- 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;
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` int(10) NOT NULL,
`firstname` varchar(256) DEFAULT NULL,
`lastname` varchar(256) DEFAULT NULL,
`nickname` varchar(256) DEFAULT NULL,
`email` varchar(256) DEFAULT NULL,
`phone` varchar(256) DEFAULT NULL,
`dob` varchar(256) DEFAULT NULL,
`avatar` varchar(256) DEFAULT NULL,
`coverImage` varchar(256) DEFAULT NULL,
`short_description` varchar(256) DEFAULT NULL,
`country` varchar(256) DEFAULT NULL,
`subscription` varchar(256) DEFAULT NULL,
`follow_count` varchar(256) DEFAULT NULL,
`security_count` varchar(256) DEFAULT NULL,
`password` varchar(256) DEFAULT NULL,
`created_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
`updated_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
`reset_token` varchar(256) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `firstname`, `lastname`, `nickname`, `email`, `phone`, `dob`, `avatar`, `coverImage`, `short_description`, `country`, `subscription`, `follow_count`, `security_count`, `password`, `created_at`, `updated_at`, `reset_token`) VALUES
(10, 'Fareed', 'Shaikh', '<PASSWORD>', '<EMAIL>', '+919404825122', '2000-06-15', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '$2y$10$q9VGVOfzSMBIMR4C7vWNjOAwREkZCyvXkmuowxpLP1AZuNLL2nVfq', '2022-01-28 14:13:09', '2022-01-28 14:13:09', NULL),
(11, 'Fareed', 'Shaikh', '<PASSWORD>', '<EMAIL>', '+919404825122', '2022-02-23', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '$2y$10$6/TzHpOKsc.R7diLTv2v.ePjYE8Nd1LeLJoaOmnLsMrZpfT8cPTOG', '2022-01-28 12:22:23', '2022-01-28 12:22:23', '');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
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 */;
|
-- phpMyAdmin SQL Dump
-- version 4.8.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jul 13, 2018 at 03:18 AM
-- Server version: 10.1.33-MariaDB
-- PHP Version: 7.1.18
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `db_akademi`
--
-- --------------------------------------------------------
--
-- Table structure for table `dosen`
--
CREATE TABLE `dosen` (
`id_dosen` int(11) NOT NULL,
`nama_dosen` varchar(255) NOT NULL,
`kode_dosen` varchar(255) NOT NULL,
`no_hp` varchar(250) NOT NULL,
`keterangan` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `dosen`
--
INSERT INTO `dosen` (`id_dosen`, `nama_dosen`, `kode_dosen`, `no_hp`, `keterangan`) VALUES
(1, 'Dr. Ir. <NAME>, MM', 'AS', '2147483647', 'Keterangan saja'),
(2, 'bella swan', 'bs', '876', 'wdwd');
-- --------------------------------------------------------
--
-- Table structure for table `matkul_akuntansi`
--
CREATE TABLE `matkul_akuntansi` (
`id_matkul_akuntansi` int(11) NOT NULL,
`subject_code` varchar(20) NOT NULL,
`subject_name` text NOT NULL,
`credits` int(11) NOT NULL,
`semester` int(11) NOT NULL,
`dosen` varchar(20) NOT NULL,
`kode` varchar(20) NOT NULL,
`keterangan` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `matkul_akuntansi`
--
INSERT INTO `matkul_akuntansi` (`id_matkul_akuntansi`, `subject_code`, `subject_name`, `credits`, `semester`, `dosen`, `kode`, `keterangan`) VALUES
(1, 'GEED-101', 'Pancasila dan Kewarganegaraan', 3, 1, 'Drs. <NAME>', 'AW', 'Pagi, Sore');
-- --------------------------------------------------------
--
-- Table structure for table `tb_biaya`
--
CREATE TABLE `tb_biaya` (
`id_biaya` varchar(6) NOT NULL,
`nama_biaya` varchar(25) NOT NULL,
`jumlah_biaya` int(10) NOT NULL,
`periode` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_biaya`
--
INSERT INTO `tb_biaya` (`id_biaya`, `nama_biaya`, `jumlah_biaya`, `periode`) VALUES
('BS001', 'Rangking 1', 360000, '2019/2022');
-- --------------------------------------------------------
--
-- Table structure for table `tb_du`
--
CREATE TABLE `tb_du` (
`id_du` varchar(6) NOT NULL,
`nama_du` varchar(100) NOT NULL,
`jk_daftar_du` varchar(12) NOT NULL,
`tpt_lahir_du` varchar(20) NOT NULL,
`tgl_lahir_du` date NOT NULL,
`alamat_du` text NOT NULL,
`no_telp_du` varchar(15) NOT NULL,
`no_telpm_du` varchar(30) NOT NULL,
`email_du` varchar(50) NOT NULL,
`agama_du` text NOT NULL,
`nik_du` varchar(50) NOT NULL,
`ibu_kandung_du` text NOT NULL,
`id_sekolah2` varchar(5) NOT NULL,
`id_prodi2` varchar(5) NOT NULL,
`id_konsentrasi2` varchar(6) NOT NULL,
`waktu` varchar(20) NOT NULL,
`jurusan_du` varchar(20) NOT NULL,
`tanggal_du` date NOT NULL,
`kode_tes` varchar(15) NOT NULL,
`nim` varchar(20) NOT NULL,
`id_pendaftaran2` varchar(6) NOT NULL,
`status_du` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_du`
--
INSERT INTO `tb_du` (`id_du`, `nama_du`, `jk_daftar_du`, `tpt_lahir_du`, `tgl_lahir_du`, `alamat_du`, `no_telp_du`, `no_telpm_du`, `email_du`, `agama_du`, `nik_du`, `ibu_kandung_du`, `id_sekolah2`, `id_prodi2`, `id_konsentrasi2`, `waktu`, `jurusan_du`, `tanggal_du`, `kode_tes`, `nim`, `id_pendaftaran2`, `status_du`) VALUES
('DU001', 'Paris ', 'laki-laki', 'ege', '2018-07-12', 'Los Angeles', '9876', '8675', '<EMAIL>', 'Kristen', '675', 'ELy', 'SE001', 'PR001', 'KO001', 'Pagi', 'ipa', '2018-07-12', 'TES001', '8675', '', '<NAME>'),
('DU002', 'Ariana', 'laki-laki', 'Malang', '2018-07-12', 'Los Angeles', '546546', '89765', '<EMAIL>', 'kristen', '89765', 'ELy', 'SE002', 'PR001', 'KO001', 'Sore', 'ips', '2018-07-12', '', '8765', 'TM002', 'b'),
('DU003', 'Paris ', 'laki-laki', 'ijuy', '2018-07-11', 'Los Angeles', '9876', '98875', '<EMAIL>', 'Kristen', '8785', 'ELy', 'SE001', 'PR002', 'KO003', 'Pagi', 'ipa', '2018-07-12', 'TES002', '9687', '', ''),
('DU004', 'Paris ', 'laki-laki', 'Malang', '2018-07-08', 'Los Angeles', '9876', '9887', '<EMAIL>', 'Kristen', '98765', 'ELy', 'SE001', 'PR003', 'KO005', 'Pagi', 'ipa', '2018-07-12', 'TES003', '8976', 'TM001', ''),
('DU005', 'Paris ', 'laki-laki', 'Malang', '2018-07-27', 'Los Angeles', '9876', '7985', '<EMAIL>', 'Kristen', '8765', 'ELy', 'SE001', 'PR003', 'KO005', 'Pagi', 'ipa', '2018-07-12', 'TES004', '8765', 'TM001', ''),
('DU006', '<NAME>', 'perempuan', 'Korea', '2018-07-04', 'Korea', '074875937', '645654', '<EMAIL>', 'Konghuchu', '54656', 'ELy', 'SE001', 'PR001', 'KO001', 'Sore', 'ipa', '2018-07-12', '', '46546456', 'TM003', '');
-- --------------------------------------------------------
--
-- Table structure for table `tb_hasil_tes`
--
CREATE TABLE `tb_hasil_tes` (
`id_hasil_tes` varchar(6) NOT NULL,
`nilai_mat` int(11) NOT NULL,
`nilai_bing` int(11) NOT NULL,
`nilai_psikotes` int(11) NOT NULL,
`total_nilai` int(11) NOT NULL,
`total_jawaban` int(11) NOT NULL,
`grade` varchar(1) NOT NULL,
`tanggal_hasil_tes` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_hasil_tes`
--
INSERT INTO `tb_hasil_tes` (`id_hasil_tes`, `nilai_mat`, `nilai_bing`, `nilai_psikotes`, `total_nilai`, `total_jawaban`, `grade`, `tanggal_hasil_tes`) VALUES
('TES001', 4, 6, 3, 14, 13, 'D', '2018-07-11'),
('TES002', 10, 30, 20, 67, 60, 'B', '2018-07-11'),
('TES003', 21, 22, 20, 70, 63, 'B', '2018-07-11'),
('TES004', 23, 30, 21, 82, 74, 'A', '2018-07-11'),
('TES007', 23, 23, 23, 77, 69, 'A', '2018-07-11');
-- --------------------------------------------------------
--
-- Table structure for table `tb_konsentrasi`
--
CREATE TABLE `tb_konsentrasi` (
`id_konsentrasi` varchar(6) NOT NULL,
`nama_konsentrasi` varchar(20) NOT NULL,
`id_prodi2` varchar(6) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_konsentrasi`
--
INSERT INTO `tb_konsentrasi` (`id_konsentrasi`, `nama_konsentrasi`, `id_prodi2`) VALUES
('KO001', 'Marketing Management', 'PR001'),
('KO002', 'Finance Management', 'PR004'),
('KO003', 'Auditing', 'PR002'),
('KO004', 'Taxation', 'PR002'),
('KO005', 'Kupukupuss', 'PR003'),
('KO006', 'Gantrungsss', 'PR003'),
('KO007', 'yuyul', 'PR002');
-- --------------------------------------------------------
--
-- Table structure for table `tb_pendaftaran`
--
CREATE TABLE `tb_pendaftaran` (
`id_pendaftaran` varchar(6) NOT NULL,
`tanggal_pendaftaran` date NOT NULL,
`nama_pendaftar` varchar(50) NOT NULL,
`jk_pendaftar` varchar(20) NOT NULL,
`id_sekolah2` varchar(6) NOT NULL,
`jurusan` varchar(20) NOT NULL,
`alamat` varchar(100) NOT NULL,
`email` varchar(30) NOT NULL,
`no_telp` varchar(15) NOT NULL,
`waktu` varchar(10) NOT NULL,
`status_bayar` varchar(20) NOT NULL,
`id_prodi2` varchar(6) NOT NULL,
`sumber` varchar(30) NOT NULL,
`ibu_kandung` varchar(30) NOT NULL,
`bukti_transfer` text NOT NULL,
`agama` varchar(10) NOT NULL,
`id_du2` varchar(6) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_pendaftaran`
--
INSERT INTO `tb_pendaftaran` (`id_pendaftaran`, `tanggal_pendaftaran`, `nama_pendaftar`, `jk_pendaftar`, `id_sekolah2`, `jurusan`, `alamat`, `email`, `no_telp`, `waktu`, `status_bayar`, `id_prodi2`, `sumber`, `ibu_kandung`, `bukti_transfer`, `agama`, `id_du2`) VALUES
('TM001', '2018-07-12', 'Paris ', 'laki-laki', 'SE001', 'ipa', 'Los Angeles', '<EMAIL>', '9876', 'Pagi', 'Lunas', 'PR001', 'ipa', 'ELy', 'IMG.jpg', 'Kristen', 'DU001'),
('TM002', '2018-07-12', 'Ariana', 'laki-laki', 'SE002', 'ips', 'Los Angeles', '<EMAIL>', '546546', 'Sore', 'Lunas', 'PR001', 'ipa', 'ELy', 'IMG_00011.jpg', 'Budha', 'DU002'),
('TM003', '2018-07-12', '<NAME>', 'perempuan', 'SE001', 'ipa', 'Korea', '<EMAIL>', '074875937', 'Sore', 'Lunas', 'PR001', 'ips', 'ELy', 'IMG_0009.jpg', 'Konghuchu', 'DU003');
-- --------------------------------------------------------
--
-- Table structure for table `tb_prodi`
--
CREATE TABLE `tb_prodi` (
`id_prodi` varchar(6) NOT NULL,
`nama_prodi` varchar(20) NOT NULL,
`ketua_prodi` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_prodi`
--
INSERT INTO `tb_prodi` (`id_prodi`, `nama_prodi`, `ketua_prodi`) VALUES
('PR001', 'Management', 'Dr. <NAME>'),
('PR002', 'Accounting', 'Dra. <NAME>'),
('PR003', 'halu', 'haa'),
('PR004', 'Tata Bogas', 'Dr. Bogasss'),
('PR005', 'wes', 'uyt');
-- --------------------------------------------------------
--
-- Table structure for table `tb_sekolah`
--
CREATE TABLE `tb_sekolah` (
`id_sekolah` varchar(6) NOT NULL,
`nama_sekolah` varchar(30) NOT NULL,
`alamat_sekolah` text NOT NULL,
`jenis_sekolah` varchar(6) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_sekolah`
--
INSERT INTO `tb_sekolah` (`id_sekolah`, `nama_sekolah`, `alamat_sekolah`, `jenis_sekolah`) VALUES
('SE001', 'SMK Telkom Malang', 'Jl. Danau Ranau Sawojajar Malang', ''),
('SE002', 'SMAN 3 Jakarta', 'Jl. Supriyadi No 47 jakarta', '');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `dosen`
--
ALTER TABLE `dosen`
ADD PRIMARY KEY (`id_dosen`),
ADD UNIQUE KEY `nama_dosen` (`nama_dosen`);
--
-- Indexes for table `matkul_akuntansi`
--
ALTER TABLE `matkul_akuntansi`
ADD PRIMARY KEY (`id_matkul_akuntansi`);
--
-- Indexes for table `tb_biaya`
--
ALTER TABLE `tb_biaya`
ADD PRIMARY KEY (`id_biaya`);
--
-- Indexes for table `tb_du`
--
ALTER TABLE `tb_du`
ADD PRIMARY KEY (`id_du`),
ADD KEY `id_sekolah` (`id_sekolah2`),
ADD KEY `id_prodi` (`id_prodi2`),
ADD KEY `id_prodi_2` (`id_prodi2`),
ADD KEY `id_konsentrasi` (`id_konsentrasi2`);
--
-- Indexes for table `tb_hasil_tes`
--
ALTER TABLE `tb_hasil_tes`
ADD PRIMARY KEY (`id_hasil_tes`);
--
-- Indexes for table `tb_konsentrasi`
--
ALTER TABLE `tb_konsentrasi`
ADD PRIMARY KEY (`id_konsentrasi`),
ADD KEY `id_prodi` (`id_prodi2`);
--
-- Indexes for table `tb_pendaftaran`
--
ALTER TABLE `tb_pendaftaran`
ADD PRIMARY KEY (`id_pendaftaran`);
--
-- Indexes for table `tb_prodi`
--
ALTER TABLE `tb_prodi`
ADD PRIMARY KEY (`id_prodi`);
--
-- Indexes for table `tb_sekolah`
--
ALTER TABLE `tb_sekolah`
ADD PRIMARY KEY (`id_sekolah`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `dosen`
--
ALTER TABLE `dosen`
MODIFY `id_dosen` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `matkul_akuntansi`
--
ALTER TABLE `matkul_akuntansi`
MODIFY `id_matkul_akuntansi` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `tb_konsentrasi`
--
ALTER TABLE `tb_konsentrasi`
ADD CONSTRAINT `tb_konsentrasi_ibfk_1` FOREIGN KEY (`id_prodi2`) REFERENCES `tb_prodi` (`id_prodi`) 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 */;
|
/*
Warnings:
- Added the required column `competitionId` to the `Route` table without a default value. This is not possible if the table is not empty.
*/
-- AlterTable
ALTER TABLE "Route" ADD COLUMN "competitionId" INTEGER NOT NULL;
-- AddForeignKey
ALTER TABLE "Route" ADD FOREIGN KEY ("competitionId") REFERENCES "Competition"("id") ON DELETE CASCADE ON UPDATE CASCADE;
|
<gh_stars>0
CREATE TABLE User_Interest_Subcategory ( user_id VARCHAR NOT NULL, category VARCHAR NOT NULL, subcategory VARCHAR NOT NULL, preference VARCHAR NOT NULL, PRIMARY KEY ( user_id, category, subcategory ), FOREIGN KEY ( user_id ) REFERENCES User ON DELETE CASCADE, FOREIGN KEY ( category, subcategory ) REFERENCES Interest_Subcategory ON DELETE CASCADE );
|
<filename>SQL/lxf/05database_query/query_projection.sql<gh_stars>0
-- 投影查询
-- 让查询的结果集仅包含指定列
SELECT id, score, name FROM students;
-- 结果集的列的顺序和原表可以不一样，因为只返回了指定的列
SELECT id, score points, name FROM students;
-- 将 score起一个别名 points，作用于查询结果集
SELECT id, score points, name FROM students WHERE gender = 'M';
-- 使用 where实现条件查询
|
<filename>prisma/migrations/20210723212250_update/migration.sql
-- AlterTable
ALTER TABLE "User" ADD COLUMN "voiceChannelId" TEXT;
-- AddForeignKey
ALTER TABLE "User" ADD FOREIGN KEY ("voiceChannelId") REFERENCES "VoiceChannel"("id") ON DELETE SET NULL ON UPDATE CASCADE;
|
<filename>appmarket.sql
-- phpMyAdmin SQL Dump
-- version 5.0.1
-- https://www.phpmyadmin.net/
--
-- Servidor: 1192.168.3.11
-- Tiempo de generación: 30-04-2020 a las 04:07:07
-- Versión del servidor: 10.4.11-MariaDB
-- Versión de PHP: 7.2.27
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: `appmarket`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `marks`
--
CREATE TABLE `marks` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(50) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Volcado de datos para la tabla `marks`
--
INSERT INTO `marks` (`id`, `name`) VALUES
(1, 'Msi'),
(2, 'Asus'),
(3, 'Evga'),
(4, 'Gigabyte');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `migrations`
--
CREATE TABLE `migrations` (
`migration` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Volcado de datos para la tabla `migrations`
--
INSERT INTO `migrations` (`migration`, `batch`) VALUES
('2014_10_12_000000_create_users_table', 1),
('2014_10_12_100000_create_password_resets_table', 1),
('2020_02_26_205912_create_mark_table', 1),
('2020_02_26_205930_create_product_table', 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `password_resets`
--
CREATE TABLE `password_resets` (
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`token` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `products`
--
CREATE TABLE `products` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`price` decimal(5,2) NOT NULL,
`marks_id` int(10) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Volcado de datos para la tabla `products`
--
INSERT INTO `products` (`id`, `name`, `price`, `marks_id`) VALUES
(1, 'Tarjeta Grafica GTX 1600', '999.99', 2),
(3, 'Monitor de 144hz 1 ms', '999.00', 1),
(4, 'Mouse Gamer', '350.00', 4),
(6, 'Parlantes ', '560.00', 2);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `users`
--
CREATE TABLE `users` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `marks`
--
ALTER TABLE `marks`
ADD PRIMARY KEY (`id`);
--
-- Indices de la tabla `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`),
ADD KEY `password_resets_token_index` (`token`);
--
-- Indices de la tabla `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`id`),
ADD KEY `products_marks_id_foreign` (`marks_id`);
--
-- Indices de la tabla `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_email_unique` (`email`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `marks`
--
ALTER TABLE `marks`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT de la tabla `products`
--
ALTER TABLE `products`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT de la tabla `users`
--
ALTER TABLE `users`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- Restricciones para tablas volcadas
--
--
-- Filtros para la tabla `products`
--
ALTER TABLE `products`
ADD CONSTRAINT `products_marks_id_foreign` FOREIGN KEY (`marks_id`) REFERENCES `marks` (`id`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE PROCEDURE [dbo].[dnn_RemoveTermsFromContent]
@ContentItemID int
AS
DELETE dbo.dnn_ContentItems_Tags
WHERE ContentItemID = @ContentItemID
|
USE timetable;
UPDATE sy_commerce_C
SET lec1 = "MA", lec2 = "CSP", lec3 ="B.LAW", lec4 = "ECO", lec5 = NULL, lec6 = NULL
WHERE week = 1;
UPDATE sy_commerce_C
SET lec1 = "MA", lec2 = "FA", lec3 ="B.LAW", lec4 = "FA", lec5 = NULL, lec6 = NULL
WHERE week = 2;
UPDATE sy_commerce_C
SET lec1 = "FA", lec2 = "CSP", lec3 ="BLAW", lec4 = NULL, lec5 = NULL, lec6 = NULL
WHERE week = 3;
UPDATE sy_commerce_C
SET lec1 = "CP", lec2 = "CSP", lec3 ="B.LAW", lec4 = "FA", lec5 = NULL, lec6 = NULL
WHERE week = 4;
UPDATE sy_commerce_C
SET lec1 = "CP", lec2 = "FC", lec3 ="ECO", lec4 = "MA", lec5 = NULL, lec6 = NULL
WHERE week = 5;
UPDATE sy_commerce_C
SET lec1 = "ECO", lec2 = "FC", lec3 ="CP", lec4 = "FC", lec5 = NULL, lec6 = NULL
WHERE week = 6;
|
<reponame>wsdookadr/pg-test-docker-container<gh_stars>1-10
--
--
--
--
-- This will test if current_setting and set_setting
-- provide a way to persist data when used in a function
-- that is used to build an expression index using CREATE INDEX
--
-- (the function that's going to call current_setting and
-- set_setting will be the same one that's going to be used
-- to create an expression index)
--
-- What ends up happening here is that
-- CREATE INDEX will run your function in a different way on 9.6.8 (than on previous 9.6.x and 9.5.x)
-- on pg_restore than if you would run it yourself manually inside of a psql session.
--
-- So if you were relying upon current_setting/set_config to persist your
-- settings throughout the CREATE INDEX statement in pg_restore, you'll find out
-- that's actually not true in version 9.6.8
--
-- Another reason this is wrong is because of this quote in the PostgreSQL manual
--
-- "A common error is to label a function IMMUTABLE when its results
-- depend on a configuration parameter. For example, a function that
-- manipulates timestamps might well have results that depend on the TimeZone
-- setting. For safety, such functions should be labeled STABLE instead."
--
-- -- https://www.postgresql.org/docs/9.6/static/xfunc-volatility.html
--
-- Another quote that recommends against the usage of set_config/current_setting is
--
-- "All functions and operators used in an index definition must be
-- "immutable", that is, their results must depend only on their arguments
-- and never on any outside influence (such as the contents of another
-- table or the current time). This restriction ensures that the behavior
-- of the index is well-defined. To use a user-defined function in an index
-- expression or WHERE clause, remember to mark the function immutable when
-- you create it."
--
-- -- https://www.postgresql.org/docs/9.6/static/sql-createindex.html
--
--
--
CREATE OR REPLACE FUNCTION public.isempty(input character varying) RETURNS boolean
LANGUAGE sql IMMUTABLE
AS $$
SELECT input IS NULL OR input = '';
$$;
CREATE OR REPLACE FUNCTION public.test1(p_string character varying) RETURNS character varying
LANGUAGE plpgsql IMMUTABLE
AS $$
DECLARE
persist TEXT;
BEGIN
BEGIN
SELECT current_setting('prefix.persist') INTO STRICT persist;
IF isempty(persist) THEN
RAISE EXCEPTION 'persist session variable not set';
ELSE
RAISE NOTICE 'prefix.persist was set';
RAISE LOG 'prefix.persist was set';
END IF;
RETURN '';
EXCEPTION
WHEN OTHERS THEN
RAISE LOG 'prefix.persist was not set';
RAISE NOTICE 'prefix.persist was not set';
PERFORM set_config('prefix.persist', 'value',false);
RETURN '';
END;
END;
$$;
DROP TABLE IF EXISTS test_table;
CREATE TABLE test_table (
c1 TEXT
);
INSERT INTO test_table(c1) VALUES('a');
INSERT INTO test_table(c1) VALUES('ab');
INSERT INTO test_table(c1) VALUES('abc');
INSERT INTO test_table(c1) VALUES('abcd');
INSERT INTO test_table(c1) VALUES('abcde');
INSERT INTO test_table(c1) VALUES('abcdef');
CREATE INDEX test_idx ON test_table (test1(c1));
|
<filename>HackerRank/Triangle_Type.sql<gh_stars>1-10
select case when a+b>c and b+c>a and c+a>b then case when a=b and b=c then 'Equilateral' when a=b or b=c or a=c then 'Isosceles' else 'Scalene' end else 'Not A Triangle' end from triangles; |
<reponame>chriskid824/MVC<gh_stars>10-100
CREATE PROCEDURE [dbo].[sp_user_update]
@Id INT,
@Username VARCHAR(256),
@Email_Address VARCHAR(256),
@First_Name VARCHAR(256),
@Last_Name VARCHAR(256),
@Mobile_Number VARCHAR(30),
@Updated_By INT
AS
BEGIN
UPDATE [User]
SET
[Username] = @Username,
[Email_Address] = @Email_Address,
[First_Name] = @First_Name,
[Last_Name] = @Last_Name,
[Mobile_Number] = @Mobile_Number,
[Updated_By] = @Updated_By,
[Updated_Date] = GETDATE()
WHERE
[Id] = @Id
SELECT
@Id
END |
<reponame>Shuttl-Tech/antlr_psql
-- file:security_label.sql ln:40 expect:true
DROP DOMAIN seclabel_domain
|
<filename>backend/de.metas.handlingunits.base/src/main/sql/postgresql/system/5477420_sys_gh2961-app_fix_GenerateHUStorageASIKey.sql
CREATE OR REPLACE FUNCTION GenerateHUStorageASIKey(asiId numeric, nullString text)
RETURNS text AS
$BODY$
SELECT COALESCE(string_agg(sub.AttributeValue::VARCHAR, '_'), $2)
FROM (
SELECT
av.Name AS AttributeValue
FROM M_AttributeSetInstance asi
INNER JOIN M_AttributeInstance ai ON ai.M_AttributeSetInstance_ID=asi.M_AttributeSetInstance_ID
INNER JOIN M_AttributeValue av ON av.M_AttributeValue_ID=ai.M_AttributeValue_ID
INNER JOIN M_Attribute a ON a.M_Attribute_ID=ai.M_Attribute_ID
WHERE asi.M_AttributeSetInstance_ID = $1
AND av.IsActive='Y'
AND a.IsStorageRelevant='Y' -- Match significant attributes for HUStorage
AND a.IsActive='Y'
GROUP BY a.M_Attribute_ID, av.Name
ORDER BY a.M_Attribute_ID, av.Name
) sub;
$BODY$
LANGUAGE sql STABLE;
COMMENT ON FUNCTION GenerateHUStorageASIKey(numeric, text) IS 'Creates a string that contains the M_AttributeValue.Names of those M_Attributes that have IsStorageRelevant=Y.
Ff there are none, the fuction returns the given nullString.';
CREATE OR REPLACE FUNCTION GenerateHUStorageASIKey(asiId numeric)
RETURNS text AS
$BODY$
SELECT GenerateHUStorageASIKey(
$1,
null::text -- return null as null
);
$BODY$
LANGUAGE sql STABLE;
COMMENT ON FUNCTION GenerateHUStorageASIKey(numeric, text) IS 'Similar to GenerateHUStorageASIKey(asiId numeric), but returns the given string if there is no attribuate-value-string to return';
|
<gh_stars>1000+
-- 2019-11-01T14:06:11.065Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
INSERT INTO AD_Val_Rule (AD_Client_ID,AD_Org_ID,AD_Val_Rule_ID,Code,Created,CreatedBy,EntityType,IsActive,Name,Type,Updated,UpdatedBy) VALUES (0,0,540469,'exists (select 1 from M_Shipper s join C_BPartner bp on s.M_Shipper_ID = bp.M_Shipper_ID where bp.C_BPartner_ID = @C_BPartner_ID/-1@',TO_TIMESTAMP('2019-11-01 16:06:10','YYYY-MM-DD HH24:MI:SS'),100,'D','Y','M_Shipper for BPartner','S',TO_TIMESTAMP('2019-11-01 16:06:10','YYYY-MM-DD HH24:MI:SS'),100)
;
-- 2019-11-01T14:06:21.689Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Process_Para SET AD_Val_Rule_ID=540469,Updated=TO_TIMESTAMP('2019-11-01 16:06:21','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Process_Para_ID=541635
;
-- 2019-11-01T14:07:39.971Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Process_Para SET AD_Val_Rule_ID=NULL,Updated=TO_TIMESTAMP('2019-11-01 16:07:39','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Process_Para_ID=541635
;
-- 2019-11-01T14:07:45.433Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
DELETE FROM AD_Val_Rule WHERE AD_Val_Rule_ID=540469
;
-- 2019-11-01T14:32:49.054Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
INSERT INTO AD_Column (AD_Client_ID,AD_Column_ID,AD_Element_ID,AD_Org_ID,AD_Reference_ID,AD_Table_ID,ColumnName,Created,CreatedBy,DDL_NoForeignKey,Description,EntityType,FieldLength,Help,IsActive,IsAdvancedText,IsAllowLogging,IsAlwaysUpdateable,IsAutoApplyValidationRule,IsAutocomplete,IsCalculated,IsDimension,IsDLMPartitionBoundary,IsEncrypted,IsForceIncludeInGeneratedModel,IsGenericZoomKeyColumn,IsGenericZoomOrigin,IsIdentifier,IsKey,IsLazyLoading,IsMandatory,IsParent,IsRangeFilter,IsSelectionColumn,IsShowFilterIncrementButtons,IsStaleable,IsSyncDatabase,IsTranslated,IsUpdateable,IsUseDocSequence,Name,SelectionColumnSeqNo,SeqNo,Updated,UpdatedBy,Version) VALUES (0,569354,455,0,30,500221,'M_Shipper_ID',TO_TIMESTAMP('2019-11-01 16:32:48','YYYY-MM-DD HH24:MI:SS'),100,'N','Methode oder Art der Warenlieferung','de.metas.inoutcandidate',10,'"Lieferweg" bezeichnet die Art der Warenlieferung.','Y','N','Y','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','N','Y','N','Lieferweg',0,0,TO_TIMESTAMP('2019-11-01 16:32:48','YYYY-MM-DD HH24:MI:SS'),100,0)
;
-- 2019-11-01T14:32:49.058Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
INSERT INTO AD_Column_Trl (AD_Language,AD_Column_ID, Name, IsTranslated,AD_Client_ID,AD_Org_ID,Created,Createdby,Updated,UpdatedBy) SELECT l.AD_Language, t.AD_Column_ID, t.Name, 'N',t.AD_Client_ID,t.AD_Org_ID,t.Created,t.Createdby,t.Updated,t.UpdatedBy FROM AD_Language l, AD_Column t WHERE l.IsActive='Y'AND (l.IsSystemLanguage='Y' AND l.IsBaseLanguage='N') AND t.AD_Column_ID=569354 AND NOT EXISTS (SELECT 1 FROM AD_Column_Trl tt WHERE tt.AD_Language=l.AD_Language AND tt.AD_Column_ID=t.AD_Column_ID)
;
-- 2019-11-01T14:32:49.098Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_Column_Translation_From_AD_Element(455)
;
-- 2019-11-01T14:32:51.287Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ SELECT public.db_alter_table('M_ShipmentSchedule','ALTER TABLE public.M_ShipmentSchedule ADD COLUMN M_Shipper_ID NUMERIC(10)')
;
-- 2019-11-01T14:32:51.695Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
ALTER TABLE M_ShipmentSchedule ADD CONSTRAINT MShipper_MShipmentSchedule FOREIGN KEY (M_Shipper_ID) REFERENCES public.M_Shipper DEFERRABLE INITIALLY DEFERRED
;
-- 2019-11-01T15:00:13.008Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
INSERT INTO AD_Field (AD_Client_ID,AD_Column_ID,AD_Field_ID,AD_Org_ID,AD_Tab_ID,ColumnDisplayLength,Created,CreatedBy,Description,DisplayLength,EntityType,Help,IncludedTabHeight,IsActive,IsDisplayed,IsDisplayedGrid,IsEncrypted,IsFieldOnly,IsHeading,IsReadOnly,IsSameLine,Name,SeqNo,SeqNoGrid,SortNo,SpanX,SpanY,Updated,UpdatedBy) VALUES (0,569354,591224,0,500221,0,TO_TIMESTAMP('2019-11-01 17:00:12','YYYY-MM-DD HH24:MI:SS'),100,'Methode oder Art der Warenlieferung',0,'D','"Lieferweg" bezeichnet die Art der Warenlieferung.',0,'Y','Y','Y','N','N','N','N','N','Lieferweg',600,670,0,1,1,TO_TIMESTAMP('2019-11-01 17:00:12','YYYY-MM-DD HH24:MI:SS'),100)
;
-- 2019-11-01T15:00:13.023Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
INSERT INTO AD_Field_Trl (AD_Language,AD_Field_ID, Description,Help,Name, IsTranslated,AD_Client_ID,AD_Org_ID,Created,Createdby,Updated,UpdatedBy) SELECT l.AD_Language, t.AD_Field_ID, t.Description,t.Help,t.Name, 'N',t.AD_Client_ID,t.AD_Org_ID,t.Created,t.Createdby,t.Updated,t.UpdatedBy FROM AD_Language l, AD_Field t WHERE l.IsActive='Y'AND (l.IsSystemLanguage='Y' AND l.IsBaseLanguage='N') AND t.AD_Field_ID=591224 AND NOT EXISTS (SELECT 1 FROM AD_Field_Trl tt WHERE tt.AD_Language=l.AD_Language AND tt.AD_Field_ID=t.AD_Field_ID)
;
-- 2019-11-01T15:00:13.031Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_FieldTranslation_From_AD_Name_Element(455)
;
-- 2019-11-01T15:00:13.119Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
DELETE FROM AD_Element_Link WHERE AD_Field_ID=591224
;
-- 2019-11-01T15:00:13.121Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select AD_Element_Link_Create_Missing_Field(591224)
;
-- 2019-11-01T15:05:01.987Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
INSERT INTO AD_UI_Element (AD_Client_ID,AD_Field_ID,AD_Org_ID,AD_Tab_ID,AD_UI_Element_ID,AD_UI_ElementGroup_ID,AD_UI_ElementType,Created,CreatedBy,Description,Help,IsActive,IsAdvancedField,IsAllowFiltering,IsDisplayed,IsDisplayed_SideList,IsDisplayedGrid,IsMultiLine,MultiLine_LinesCount,Name,SeqNo,SeqNo_SideList,SeqNoGrid,Updated,UpdatedBy) VALUES (0,591224,0,500221,563752,540052,'F',TO_TIMESTAMP('2019-11-01 17:05:01','YYYY-MM-DD HH24:MI:SS'),100,'Methode oder Art der Warenlieferung','"Lieferweg" bezeichnet die Art der Warenlieferung.','Y','N','N','Y','N','N','N',0,'Lieferweg',155,0,0,TO_TIMESTAMP('2019-11-01 17:05:01','YYYY-MM-DD HH24:MI:SS'),100)
;
|
<gh_stars>1-10
-- @DELIMITER |
begin
execute immediate 'drop sequence test_seq';
exception
when others then
if sqlcode != -942 then
raise;
end if;
end;
|
begin
execute immediate 'drop table user1';
exception
when others then
if sqlcode != -942 then
raise;
end if;
end;
|
begin
execute immediate 'drop table user2';
exception
when others then
if sqlcode != -942 then
raise;
end if;
end;
|
begin
execute immediate 'drop table user3';
exception
when others then
if sqlcode != -942 then
raise;
end if;
end;
|
-- @DELIMITER ;
create sequence test_seq increment by 1 start with 1;
create table user1 (
id int,
name varchar(10)
);
create table user2 (
id int default test_seq.nextval,
name varchar(10)
);
create table user3 (
id int generated always as identity,
name varchar(10)
);
|
<filename>migration-client/wso2-api-migration-client/src/main/resources/210to220Migration/sql-scripts/h2.sql
ALTER TABLE AM_SUBSCRIPTION_KEY_MAPPING ALTER COLUMN ACCESS_TOKEN VARCHAR(512);
ALTER TABLE AM_APPLICATION_REGISTRATION ALTER COLUMN TOKEN_SCOPE VARCHAR(1500);
CREATE TABLE IF NOT EXISTS `AM_CERTIFICATE_METADATA` (
`TENANT_ID` INT(11) NOT NULL,
`ALIAS` VARCHAR(45) NOT NULL,
`END_POINT` VARCHAR(100) NOT NULL,
CONSTRAINT PK_ALIAS PRIMARY KEY (`ALIAS`),
CONSTRAINT END_POINT_CONSTRAINT UNIQUE (`END_POINT`),
);
CREATE TABLE IF NOT EXISTS AM_APPLICATION_GROUP_MAPPING (
APPLICATION_ID INTEGER NOT NULL,
GROUP_ID VARCHAR(512) NOT NULL,
TENANT VARCHAR(255),
PRIMARY KEY (APPLICATION_ID,GROUP_ID,TENANT),
FOREIGN KEY (APPLICATION_ID) REFERENCES AM_APPLICATION(APPLICATION_ID) ON DELETE CASCADE ON UPDATE CASCADE
);
CREATE TABLE IF NOT EXISTS AM_USAGE_UPLOADED_FILES (
TENANT_DOMAIN varchar(255) NOT NULL,
FILE_NAME varchar(255) NOT NULL,
FILE_TIMESTAMP TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FILE_PROCESSED tinyint(1) DEFAULT 0,
FILE_CONTENT MEDIUMBLOB DEFAULT NULL,
PRIMARY KEY (TENANT_DOMAIN, FILE_NAME, FILE_TIMESTAMP)
);
CREATE TABLE IF NOT EXISTS AM_API_LC_PUBLISH_EVENTS (
ID INTEGER(11) NOT NULL AUTO_INCREMENT,
TENANT_DOMAIN VARCHAR(500) NOT NULL,
API_ID VARCHAR(500) NOT NULL,
EVENT_TIME TIMESTAMP NOT NULL,
PRIMARY KEY (ID)
);
|
<reponame>tamercuba/impacta-sql-server
-- CAP 7 LAB 1
-- 1
USE PEDIDOS
GO
-- 2
UPDATE TB_PRODUTO
SET PRECO_CUSTO = PRECO_CUSTO * 1.15
OUTPUT inserted.PRECO_CUSTO
WHERE COD_TIPO = 2;
-- 3
BEGIN TRAN
SELECT PRECO_CUSTO,
PRECO_VENDA
FROM TB_PRODUTO;
UPDATE TB_PRODUTO
SET PRECO_VENDA = PRECO_CUSTO * 1.30
OUTPUT inserted.PRECO_VENDA
COMMIT
-- 4
BEGIN TRAN
SELECT COD_PRODUTO,
IPI
FROM TB_PRODUTO
WHERE COD_TIPO = 3;
UPDATE TB_PRODUTO
SET IPI = 5
OUTPUT inserted.IPI
WHERE COD_TIPO = 3;
COMMIT
-- 5
BEGIN TRAN
SELECT COD_PRODUTO,
QTD_MINIMA
FROM TB_PRODUTO
UPDATE TB_PRODUTO
SET QTD_MINIMA *= 0.90
OUTPUT inserted.QTD_MINIMA;
COMMIT
-- 6
BEGIN TRAN
UPDATE TB_CLIENTE
SET ENDERECO = 'AV. <NAME>, 1234',
BAIRRO = 'TATUAPE',
CIDADE = 'SAO PAULO',
ESTADO = 'SP',
CEP = 03407080
OUTPUT deleted.ENDERECO, inserted.ENDERECO, deleted.BAIRRO, inserted.BAIRRO, deleted.CIDADE, inserted.CIDADE,
deleted.ESTADO, inserted.ESTADO, deleted.CEP, inserted.CEP
WHERE CODCLI = 11;
COMMIT
-- 7
UPDATE TB_CLIENTE
SET END_COB = ENDERECO,
BAI_COB = BAIRRO,
CID_COB = CIDADE,
EST_COB = ESTADO,
CEP_COB = CEP
WHERE CODCLI = 13;
-- 8
BEGIN TRAN
UPDATE TB_CLIENTE
SET ICMS = 12
WHERE ESTADO IN ('RJ','RO','AC','RR','MG','PR','SC','RS','MS','MT');
COMMIT
-- 9
UPDATE TB_CLIENTE
SET ICMS = 18
WHERE ESTADO = 'SP';
-- 10
UPDATE TB_CLIENTE
SET ICMS = 12
WHERE ESTADO NOT IN ('RJ','RO','AC','RR','MG','PR','SC','RS','MS','MT','SP');
-- 11
BEGIN TRAN
UPDATE TB_ITENSPEDIDO
SET DESCONTO = 7
WHERE ID_PRODUTO = 8 AND DATA_ENTREGA BETWEEN '2014.01.01' AND '2014.01.31' AND QUANTIDADE > 1000;
COMMIT
-- 12
BEGIN TRAN
UPDATE TB_ITENSPEDIDO
SET DESCONTO = 0
WHERE QUANTIDADE < 1000 AND DATA_ENTREGA > '2014.07.01' AND DESCONTO > 0;
COMMIT
-- 13
SELECT * INTO VENDEDORES_TMP
FROM TB_VENDEDOR;
-- 14
DELETE FROM VENDEDORES_TMP WHERE CODVEN > 5;
-- 15
SELECT * INTO COPIA_PEDIDOS
FROM TB_PEDIDO;
-- 16
DELETE FROM COPIA_PEDIDOS WHERE CODVEN = 2;
-- 17
DELETE FROM COPIA_PEDIDOS WHERE DATA_EMISSAO BETWEEN '2014.01.01' AND '2014.06.30';
-- 18
DELETE FROM COPIA_PEDIDOS;
-- 19
DROP TABLE COPIA_PEDIDOS; |
<filename>schema.sql
drop database if exists employ_db;
create database employ_db;
use employ_db;
create table department (
id INT auto_increment KEY,
dept_name VARCHAR(30)
);
create table emplrole (
id INT auto_increment PRIMARY KEY,
title VARCHAR(30), -- to hold role title
salary DECIMAL, -- to hold role salary
department_id INT -- to hold reference to department role belongs to
);
create table employee (
id INT auto_increment PRIMARY KEY,
emp_name VARCHAR(30), -- to hold employee first name
role_id INT, -- to hold reference to role employee has
manager_id INT -- to hold reference to another employee that manages the employee being Created. This field may be null if the employee has no manager
); |
<reponame>developmentseed/covid-wb-api
BEGIN;
DROP TABLE IF EXISTS adm0;
CREATE TABLE IF NOT EXISTS adm0 (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
objectid int,
iso_a2 text,
wb_adm0_co int,
wb_adm0_na text,
iso3 text,
un_m49 int,
region text,
incomeg text,
lendingc text,
fid_100 int,
geohash text
);
DROP TABLE IF EXISTS adm1;
CREATE TABLE IF NOT EXISTS adm1 (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
iso3 text,
iso_a2 text,
objectid int,
wb_adm0_co int,
wb_adm0_na text,
wb_adm1_co int,
wb_adm1_na text,
geohash text
);
DROP TABLE IF EXISTS adm2;
CREATE TABLE IF NOT EXISTS adm2 (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
iso3 text,
iso_a2 text,
objectid int,
wb_adm0_co int,
wb_adm0_na text,
wb_adm1_co int,
wb_adm1_na text,
wb_adm2_co int,
wb_adm2_na text,
geohash text
);
DROP TABLE IF EXISTS urban_areas;
CREATE TABLE IF NOT EXISTS urban_areas (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
id int,
pop float,
geohash text
);
DROP TABLE IF EXISTS urban_areas_hd;
CREATE TABLE IF NOT EXISTS urban_areas_hd (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
id int,
pop float,
geohash text
);
DROP TABLE IF EXISTS urban_fishnets;
CREATE TABLE IF NOT EXISTS urban_fishnets (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
fid int,
geohash text
);
DROP TABLE IF EXISTS hd_urban_fishnets;
CREATE TABLE IF NOT EXISTS hd_urban_fishnets (
"ogc_fid" SERIAL PRIMARY KEY,
geom geometry(MULTIPOLYGON,4326),
fid int,
geohash text
);
--*/
--/*INDEXES
CREATE INDEX IF NOT EXISTS adm0_geom ON adm0 USING GIST (geom);
CREATE INDEX IF NOT EXISTS adm1_geom ON adm1 USING GIST (geom);
CREATE INDEX IF NOT EXISTS adm2_geom ON adm2 USING GIST (geom);
CREATE INDEX IF NOT EXISTS urban_areas_geom ON urban_areas USING GIST (geom);
CREATE INDEX IF NOT EXISTS urban_areas_hd_geom ON urban_areas_hd USING GIST (geom);
CREATE INDEX IF NOT EXISTS urban_fishnets_geom ON urban_fishnets USING GIST (geom);
CREATE INDEX IF NOT EXISTS urban_fishnets_geohash ON urban_fishnets (geohash);
CREATE INDEX IF NOT EXISTS hd_urban_fishnets_geom ON hd_urban_fishnets USING GIST (geom);
CREATE INDEX IF NOT EXISTS hd_urban_fishnets_geohash ON hd_urban_fishnets (geohash);
--*/
COMMIT; |
-- phpMyAdmin SQL Dump
-- version 4.9.2
-- https://www.phpmyadmin.net/
--
-- Host: localhost
-- Generation Time: Jul 24, 2021 at 05:41 PM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.4.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `seniorshop`
--
-- --------------------------------------------------------
--
-- Table structure for table `carts`
--
CREATE TABLE `carts` (
`id` int(10) NOT NULL,
`ip` varchar(15) DEFAULT NULL,
`token` varchar(255) DEFAULT NULL,
`productid` int(10) DEFAULT NULL,
`qty` int(10) DEFAULT 0,
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `catagories`
--
CREATE TABLE `catagories` (
`id` int(10) NOT NULL,
`catagory` varchar(100) DEFAULT NULL,
`description` text DEFAULT NULL,
`image` varchar(255) DEFAULT NULL,
`recommend` char(1) DEFAULT 'N',
`clicks` int(10) DEFAULT 0,
`amount` float(12,2) DEFAULT 0.00,
`status` char(10) DEFAULT 'enable',
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `catagories`
--
INSERT INTO `catagories` (`id`, `catagory`, `description`, `image`, `recommend`, `clicks`, `amount`, `status`, `created_at`, `updated_at`) VALUES
(1, 'Women\'s Clothing', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been', 'catagory/Woman.jpeg', 'Y', 152, 3250.00, 'enable', '2021-07-20 21:23:38', '2021-07-21 22:06:10'),
(2, 'Kids\'s Clothing', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been', 'catagory/Kids.jpeg', 'Y', 378, 5300.00, 'enable', '2021-07-20 21:49:53', '2021-07-21 22:06:50'),
(3, 'Men\'s Clothing', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been', 'catagory/Man.jpeg', 'N', 242, 4320.00, 'enable', '2021-07-20 23:00:27', '2021-07-21 23:09:21'),
(4, 'Smart Phones', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s,', 'catagory/Cellphones.jpeg', 'N', 19, 0.00, 'enable', '2021-07-21 22:09:36', '2021-07-24 03:48:25'),
(5, 'Computer', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s,', 'catagory/Computer.jpeg', 'N', 11, 0.00, 'enable', '2021-07-21 22:11:03', '2021-07-21 22:11:03'),
(6, 'Accessories', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s', 'catagory/112305_w5.jpeg', 'N', 15, 15000.00, 'enable', '2021-07-21 22:12:35', '2021-07-24 04:23:05'),
(7, 'Home & Garden', 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s', 'catagory/112315_pl5.jpeg', 'N', 12, 0.00, 'enable', '2021-07-21 22:14:14', '2021-07-24 04:23:15');
-- --------------------------------------------------------
--
-- Table structure for table `maillists`
--
CREATE TABLE `maillists` (
`id` int(10) NOT NULL,
`email` varchar(255) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `maillists`
--
INSERT INTO `maillists` (`id`, `email`, `created_at`, `updated_at`) VALUES
(1, '<EMAIL>', '2021-07-21 06:09:15', '2021-07-21 06:09:15'),
(2, '<EMAIL>', '2021-07-21 06:09:32', '2021-07-21 06:09:32'),
(3, '<EMAIL>', '2021-07-21 06:09:41', '2021-07-21 06:09:41'),
(5, '<EMAIL>', '2021-07-23 11:58:05', '2021-07-23 11:58:05');
-- --------------------------------------------------------
--
-- Table structure for table `members`
--
CREATE TABLE `members` (
`id` int(10) NOT NULL,
`firstname` varchar(150) DEFAULT NULL,
`lastname` varchar(150) DEFAULT NULL,
`address` text DEFAULT NULL,
`city` varchar(150) DEFAULT NULL,
`state` varchar(150) DEFAULT NULL,
`zip` char(15) DEFAULT NULL,
`phone` varchar(25) DEFAULT NULL,
`email` varchar(100) DEFAULT NULL,
`password` varchar(255) DEFAULT NULL,
`status` enum('enable','disable') DEFAULT 'enable',
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `members`
--
INSERT INTO `members` (`id`, `firstname`, `lastname`, `address`, `city`, `state`, `zip`, `phone`, `email`, `password`, `status`, `created_at`, `updated_at`) VALUES
(1, 'NARONG', 'SEPRAKHON', '37 Vipada Place', 'Huaikwang', 'BANGKOK', '10310', '0865076042', '<EMAIL>', <PASSWORD>HgqzuW9kd1ejrkcprZ.3C1vvw2hhN2h9touQdUgVJe1o1LLSVa', 'enable', '2021-07-23 02:26:54', '2021-07-23 02:44:00'),
(2, 'Rose', 'Chaeyong', '25 Swudfer', 'alsasask', 'Newyork', '134560', '086345656', '<EMAIL>', NULL, 'enable', '2021-07-23 06:24:30', '2021-07-23 06:24:30');
-- --------------------------------------------------------
--
-- 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;
-- --------------------------------------------------------
--
-- Table structure for table `orderlists`
--
CREATE TABLE `orderlists` (
`id` int(10) NOT NULL,
`orderno` varchar(15) DEFAULT NULL,
`amount` float(12,2) DEFAULT NULL,
`payment` enum('new','paid','cancel') DEFAULT 'new',
`firstname` varchar(150) DEFAULT NULL,
`lastname` varchar(150) DEFAULT NULL,
`address` text DEFAULT NULL,
`city` varchar(150) DEFAULT NULL,
`state` varchar(150) DEFAULT NULL,
`zip` char(15) DEFAULT NULL,
`phone` varchar(100) DEFAULT NULL,
`email` varchar(255) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `orderlists`
--
INSERT INTO `orderlists` (`id`, `orderno`, `amount`, `payment`, `firstname`, `lastname`, `address`, `city`, `state`, `zip`, `phone`, `email`, `created_at`, `updated_at`) VALUES
(1, '210723-2536', 500.00, 'paid', 'NARONG', 'SEPRAKHON', '37 Vipada Place', 'Huaikwang', 'BANGKOK', '10310', '0865076042', '<EMAIL>', '2021-07-23 02:25:36', '2021-07-23 09:53:39'),
(2, '210723-5112', 600.00, 'paid', 'NARONG', 'SEPRAKHON', '37 Vipada Place', 'Huaikwang', 'BANGKOK', '10310', '0865076042', '<EMAIL>', '2021-07-23 02:51:12', '2021-07-23 06:05:04'),
(3, '210723-3856', 1950.00, 'paid', 'NARONG', 'SEPRAKHON', '37 Vipada Place', 'Huaikwang', 'BANGKOK', '10310', '0865076042', '<EMAIL>', '2021-07-23 04:38:56', '2021-07-23 09:58:14'),
(4, '210723-5954', 30000.00, 'paid', 'NARONG', 'SEPRAKHON', '37 Vipada Place', 'Huaikwang', 'BANGKOK', '10310', '0865076042', '<EMAIL>', '2021-07-23 09:59:54', '2021-07-23 10:04:23');
-- --------------------------------------------------------
--
-- Table structure for table `orderproducts`
--
CREATE TABLE `orderproducts` (
`id` int(10) NOT NULL,
`orderid` int(10) DEFAULT NULL,
`productid` int(10) DEFAULT NULL,
`qty` int(10) DEFAULT 1,
`unitprice` float(8,2) DEFAULT NULL,
`totalprice` float(8,2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `orderproducts`
--
INSERT INTO `orderproducts` (`id`, `orderid`, `productid`, `qty`, `unitprice`, `totalprice`) VALUES
(1, 1, 3, 1, 250.00, 250.00),
(2, 1, 9, 1, 250.00, 250.00),
(3, 2, 1, 2, 300.00, 600.00),
(4, 3, 1, 3, 300.00, 900.00),
(5, 3, 9, 1, 300.00, 300.00),
(6, 3, 3, 3, 250.00, 750.00),
(7, 4, 5, 2, 7500.00, 15000.00);
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`id` int(10) NOT NULL,
`products` varchar(255) DEFAULT NULL,
`price` float(8,2) DEFAULT NULL,
`stock` int(10) DEFAULT NULL,
`description` text DEFAULT NULL,
`image` varchar(255) DEFAULT NULL,
`catagory` varchar(255) DEFAULT NULL,
`recommend` enum('Y','N') DEFAULT 'N',
`feature` longtext DEFAULT NULL,
`status` enum('enable','disable') DEFAULT 'enable',
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`id`, `products`, `price`, `stock`, `description`, `image`, `catagory`, `recommend`, `feature`, `status`, `created_at`, `updated_at`) VALUES
(1, 'T-Shirt man', 300.00, 22, 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been', 'products/T-Shirt man.jpeg', '3', 'Y', NULL, 'enable', '2021-07-20 23:25:05', '2021-07-21 01:16:39'),
(2, 'Cloth for Woman', 350.00, 22, 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been', 'products/Cloth for Woman.jpeg', '1', 'Y', NULL, 'enable', '2021-07-20 23:26:37', '2021-07-21 05:04:21'),
(3, 'เสื้อผ้าเด้กผู้หญิง', 250.00, 5, 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been', 'products/เสื้อผ้าเด้กผู้หญิง.jpeg', '1,2', 'N', '<div><span style=\"font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\"><font color=\"#000000\">I</font><b style=\"\"><font color=\"#000000\" style=\"background-color: rgb(255, 255, 0);\">t is a long established</font></b><font color=\"#000000\"> fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using \'Content here, content here\', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for \'lorem ipsum\' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).</font></span><br></div>', 'enable', '2021-07-21 00:38:27', '2021-07-22 07:22:26'),
(4, 'Plant Bonsai', 2500.00, 2, 'It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.', 'products/Plant Bonsai.jpeg', '7', 'N', NULL, 'enable', '2021-07-21 22:24:24', '2021-07-21 22:24:24'),
(5, 'Angle Ring', 7500.00, 5, 'It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.', 'products/Angle Ring.jpeg', '6', 'N', NULL, 'enable', '2021-07-21 22:26:15', '2021-07-21 22:26:15'),
(6, 'Notebook HP', 14000.00, 2, 'It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.', 'products/Notebook HP.jpeg', '5', 'N', NULL, 'enable', '2021-07-21 22:39:14', '2021-07-21 22:39:14'),
(7, 'OUKITEL WP12 Pro 4GB', 7500.00, 17, 'It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.', 'products/OUKITEL WP12 Pro 4GB 64GB IP68.jpeg', '4', 'N', NULL, 'enable', '2021-07-22 00:18:02', '2021-07-24 03:04:45'),
(8, 'โทรศัพท์มือถือ M11 Pro', 9000.00, 7, 'It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.', 'products/phonehuawai_jpeg_072955.jpeg', '4', 'N', NULL, 'enable', '2021-07-22 00:29:55', '2021-07-22 00:29:55'),
(9, 'Summer Clothing Kids', 300.00, 26, 'It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.', 'products/073521_kidscloth.jpeg.jpeg', '2', 'N', '<div><span style=\"font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\"><font color=\"#000000\">It is a long </font><b style=\"\"><font color=\"#000000\" style=\"background-color: rgb(255, 255, 0);\">established</font></b><font color=\"#000000\"> fact that a <span style=\"font-size: 18px; background-color: rgb(57, 132, 198);\">reader</span> will be </font><font color=\"#ff0000\">distracted</font><font color=\"#000000\"> by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is <i><b>that it has a </b></i>more-or-less normal <span style=\"background-color: rgb(255, 255, 0);\">distribution</span> of letters, as <u><b>opposed to usin</b></u>g \'Content here, content here\', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for \'lorem ipsum\' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).</font></span><br></div>', 'enable', '2021-07-22 00:35:21', '2021-07-23 06:33:17'),
(10, 'Kids\' Cloth', 320.00, 20, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/064432_kids3.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span></div><div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\"><br></span><br></div>', 'enable', '2021-07-23 23:44:32', '2021-07-23 23:44:32'),
(11, 'Kids\' Cloth 2', 300.00, 30, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/064517_kids4.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:45:17', '2021-07-23 23:45:17'),
(12, 'Kids\' Cloth 4', 200.00, 30, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/064601_kids5.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:46:01', '2021-07-23 23:46:01'),
(13, 'Kids\' Cloth 5', 320.00, 30, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/064713_kids6.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:47:13', '2021-07-23 23:47:13'),
(14, 'Kids\' Cloth 7', 320.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/064840_kids7.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:48:40', '2021-07-23 23:48:40'),
(15, 'Kids\' Cloth 8', 320.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/064940_kids8.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:49:40', '2021-07-23 23:49:40'),
(16, 'Kids\' Cloth 9', 300.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/065321_kids9.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:53:21', '2021-07-23 23:53:21'),
(17, 'Kids\' Cloth 10', 320.00, 35, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/065528_kids10.jpeg', '2', 'N', '<div><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\">There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form</span><br></div>', 'enable', '2021-07-23 23:55:28', '2021-07-23 23:55:28'),
(18, 'Kids\' Cloth 11', 250.00, 30, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/070233_kids11.jpeg', '2', 'N', NULL, 'enable', '2021-07-24 00:02:33', '2021-07-24 00:02:33'),
(19, 'Woman\'s Clothing 1', 350.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/091501_wm1.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:15:01', '2021-07-24 02:15:01'),
(20, 'Woman\'s Clothing 2', 260.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/091551_wm2.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:15:51', '2021-07-24 02:15:51'),
(21, 'Woman\'s Clothing 3', 300.00, 35, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/091707_wm3.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:17:07', '2021-07-24 02:17:07'),
(22, 'Woman\'s Clothing 4', 300.00, 24, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/091835_wm4.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:18:35', '2021-07-24 02:18:35'),
(23, 'Woman\'s Clothing 5', 240.00, 34, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/092459_wm5.jpg', '1', 'N', NULL, 'enable', '2021-07-24 02:24:59', '2021-07-24 02:24:59'),
(24, 'Woman\'s Clothing 6', 320.00, 23, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/092810_wm6.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:28:10', '2021-07-24 02:28:10'),
(25, 'Woman\'s Clothing 7', 300.00, 23, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093000_wm7.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:30:00', '2021-07-24 02:30:00'),
(26, 'Woman\'s Clothing 8', 250.00, 23, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093023_wm8.jpeg', '1', 'N', NULL, 'enable', '2021-07-24 02:30:23', '2021-07-24 02:30:23'),
(27, 'Man clothing 1', 250.00, 13, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093232_m1.jpeg', '3', 'N', NULL, 'enable', '2021-07-24 02:32:32', '2021-07-24 02:32:32'),
(28, 'Man clothing 2', 300.00, 34, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093257_m2.jpeg', '3', 'N', NULL, 'enable', '2021-07-24 02:32:57', '2021-07-24 02:32:57'),
(29, 'Man clothing 3', 300.00, 20, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093334_m3.jpeg', '3', 'N', NULL, 'enable', '2021-07-24 02:33:34', '2021-07-24 02:33:34'),
(30, 'Man clothing 4', 300.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093355_m4.jpeg', '3', 'N', NULL, 'enable', '2021-07-24 02:33:55', '2021-07-24 02:33:55'),
(31, 'Man clothing 5', 350.00, 24, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/093419_m5.jpeg', '3', 'N', NULL, 'enable', '2021-07-24 02:34:19', '2021-07-24 02:34:19'),
(32, 'Smart phone 1', 5500.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/100227_smp1.jpeg', '4', 'N', NULL, 'enable', '2021-07-24 03:02:27', '2021-07-24 03:02:27'),
(33, 'Smart phone 2', 6000.00, 4, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/100257_smp2.jpeg', '4', 'N', NULL, 'enable', '2021-07-24 03:02:57', '2021-07-24 03:02:57'),
(34, 'Smart phone 3', 7500.00, 10, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/100325_smp3.jpeg', '4', 'N', NULL, 'enable', '2021-07-24 03:03:25', '2021-07-24 03:03:25'),
(35, 'Smart phone 4', 3500.00, 15, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/100354_smp4.jpeg', '4', 'N', NULL, 'enable', '2021-07-24 03:03:54', '2021-07-24 03:03:54'),
(36, 'Smart phone 5', 4500.00, 13, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/100423_smp5.jpeg', '4', 'N', NULL, 'enable', '2021-07-24 03:04:23', '2021-07-24 03:04:23'),
(37, 'Labtop Special 1', 25000.00, 6, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/103852_lt1.jpeg', '5', 'N', NULL, 'enable', '2021-07-24 03:38:52', '2021-07-24 03:39:05'),
(38, 'Labtop Special 2', 16000.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/103929_lt2.jpeg', '5', 'N', NULL, 'enable', '2021-07-24 03:39:29', '2021-07-24 03:39:29'),
(39, 'Labtop Special 3', 18000.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/103955_tp3.jpeg', '5', 'N', NULL, 'enable', '2021-07-24 03:39:55', '2021-07-24 03:39:55'),
(40, 'Labtop Special 4', 15000.00, 10, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104020_lt4.jpeg', '5', 'N', NULL, 'enable', '2021-07-24 03:40:20', '2021-07-24 03:40:20'),
(41, 'Labtop Special 5', 20000.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104044_lt5.jpeg', '5', 'N', NULL, 'enable', '2021-07-24 03:40:44', '2021-07-24 03:40:44'),
(42, 'Special Watch 1', 3500.00, 10, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104445_w1.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:44:45', '2021-07-24 03:44:45'),
(43, 'Special Watch 2', 2500.00, 15, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104521_w2.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:45:21', '2021-07-24 03:45:21'),
(44, 'Special Watch 4', 1500.00, 14, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104552_w3.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:45:52', '2021-07-24 03:46:39'),
(45, 'Special Watch 3', 2000.00, 14, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104623_w5.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:46:23', '2021-07-24 03:46:23'),
(46, 'Special Watch 5', 1800.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/104744_w6.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:47:12', '2021-07-24 03:47:44'),
(47, 'Beauty Necklace 1', 1500.00, 10, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/105202_s1.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:52:02', '2021-07-24 03:52:02'),
(48, 'Beauty Necklace 2', 2000.00, 6, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/105234_s2.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 03:52:21', '2021-07-24 03:52:34'),
(49, 'Beauty Necklace 3', 800.00, 13, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/110302_s3.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 04:03:02', '2021-07-24 04:03:02'),
(50, 'Beauty Necklace 4', 1200.00, 15, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/110344_s4.jpeg', '6', 'N', NULL, 'enable', '2021-07-24 04:03:44', '2021-07-24 04:03:44'),
(51, 'Home Decor 1', 1500.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111618_h1.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:16:18', '2021-07-24 04:16:18'),
(52, 'Home Decor 2', 2500.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111641_h2.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:16:42', '2021-07-24 04:16:42'),
(53, 'Home Decor 3', 4500.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111704_h3.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:17:04', '2021-07-24 04:17:04'),
(54, 'Home Decor 4', 3500.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111732_h4.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:17:32', '2021-07-24 04:17:32'),
(55, 'Home Decor 5', 5000.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111802_h5.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:18:02', '2021-07-24 04:18:02'),
(56, 'Home Decor 6', 700.00, 10, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111842_pl1.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:18:42', '2021-07-24 04:18:42'),
(57, 'Indoor Plant 1', 750.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/111921_pl2.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:19:21', '2021-07-24 04:19:21'),
(58, 'Indoor Plant 2', 5500.00, 5, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/112042_pl4.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:20:42', '2021-07-24 04:20:42'),
(59, 'Indoor Plant 3', 6000.00, 25, 'There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form', 'products/112111_pl5.jpeg', '7', 'N', NULL, 'enable', '2021-07-24 04:21:11', '2021-07-24 04:21:11');
-- --------------------------------------------------------
--
-- Table structure for table `promotions`
--
CREATE TABLE `promotions` (
`id` int(10) NOT NULL,
`promotion` varchar(255) DEFAULT NULL,
`content` longtext DEFAULT NULL,
`status` enum('enable','disable') DEFAULT 'enable',
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `promotions`
--
INSERT INTO `promotions` (`id`, `promotion`, `content`, `status`, `created_at`, `updated_at`) VALUES
(1, 'promotion for summer 2', '<span style=\"font-size: 36px;\"><font color=\"#3984c6\"><span style=\"font-size: 50pt;\">Lorem Ipsum is simply</span></font><font color=\"#6ba54a\"> dummy text of the printing and typesetting industry. Lorem Ipsum has been Lorem Ipsum is </font><span style=\"font-size: 40px;\"><font color=\"#ce0000\">simply dummy text of the printing</font></span><font color=\"#6ba54a\"> </font></span>', 'enable', '2021-07-21 05:45:22', '2021-07-24 07:20:26'),
(2, 'promotion for Winter', '<p><b><font color=\"#ff0000\"><span style=\"font-size: 60px;\">Hot Promotion</span></font></b></p><p><span style=\"font-size: 40px;\"><font color=\"#3984c6\">Buy 1 Get 1 Free</font></span></p>', 'enable', '2021-07-21 05:50:11', '2021-07-24 07:09:56');
INSERT INTO `promotions` (`id`, `promotion`, `content`, `status`, `created_at`, `updated_at`) VALUES
(4, 'Special Promotion', '<div><img 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\" style=\"width: 50%; float: left;\" data-filename=\"kids2.jpeg\" class=\"note-float-left\"> <strong style=\"margin: 0px; padding: 0px; font-family: "Open Sans", Arial, sans-serif; font-size: 14px; text-align: justify;\"><span style=\"font-size: 24px;\"><font color=\"#ff0000\">Lorem Ipsum</font></span></strong><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 24px; text-align: justify;\"> is </span><span style=\"font-family: "Open Sans", Arial, sans-serif; font-size: 24px; text-align: justify;\"><font color=\"#4a7b8c\">simply dummy text</font></span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 24px; text-align: justify;\"> of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard </span><span style=\"font-family: "Open Sans", Arial, sans-serif; font-size: 24px; text-align: justify;\"><font color=\"#9c00ff\">dummy text</font></span><span style=\"color: rgb(0, 0, 0); font-family: "Open Sans", Arial, sans-serif; font-size: 24px; text-align: justify;\"> ever since the 1500</span></div>', 'enable', '2021-07-21 06:22:31', '2021-07-23 08:22:52');
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` int(11) NOT NULL,
`username` varchar(100) DEFAULT NULL,
`password` varchar(255) DEFAULT NULL,
`firstname` varchar(150) DEFAULT NULL,
`lastname` varchar(150) DEFAULT NULL,
`usertype` varchar(255) DEFAULT 'employee',
`email` varchar(255) DEFAULT NULL,
`status` varchar(15) DEFAULT 'enable',
`created_at` timestamp NULL DEFAULT current_timestamp(),
`updated_at` timestamp NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `username`, `password`, `firstname`, `lastname`, `usertype`, `email`, `status`, `created_at`, `updated_at`) VALUES
(1, 'narong', '$2b$12$vL5sZaYZnzqsCSWhJfRv5.92Kfhcp1AWZd.e5nbVOaCC59hidwwpa', 'Narong', 'Seprakhon', 'admin', '<EMAIL>', 'enable', '2021-07-20 09:46:50', '2021-07-20 09:29:25'),
(2, 'peter', '$2y$10$qYM/ViT.d9bmzYnqgV5c.eWX7oLLBaVhk42.YjhyMKRxEWQs3IwCy', 'peter', 'pan', 'employee', '<EMAIL>', 'enable', '2021-07-20 12:17:17', '2021-07-20 20:03:08');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `carts`
--
ALTER TABLE `carts`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `catagories`
--
ALTER TABLE `catagories`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `maillists`
--
ALTER TABLE `maillists`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `members`
--
ALTER TABLE `members`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `orderlists`
--
ALTER TABLE `orderlists`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `orderproducts`
--
ALTER TABLE `orderproducts`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `promotions`
--
ALTER TABLE `promotions`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `carts`
--
ALTER TABLE `carts`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `catagories`
--
ALTER TABLE `catagories`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `maillists`
--
ALTER TABLE `maillists`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `members`
--
ALTER TABLE `members`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `orderlists`
--
ALTER TABLE `orderlists`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `orderproducts`
--
ALTER TABLE `orderproducts`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `products`
--
ALTER TABLE `products`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=60;
--
-- AUTO_INCREMENT for table `promotions`
--
ALTER TABLE `promotions`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
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 */;
|
<filename>Gator_Hatchling_OLD(NOT DOWNLOAD).sql
-- ----------------------------------------------------------------------------------
-- #@name <NAME>
-- #@user JFrog --#@date 8 March 2018
-- #@project Gator_Hatchling
-- ----------------------------------------------------------------------------------
-- MySQL Script generated by MySQL Workbench
-- Tue Mar 27 18:18:04 2018
-- Model: New Model Version: 1.0
-- MySQL Workbench Forward Engineering
SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='TRADITIONAL,ALLOW_INVALID_DATES';
-- -----------------------------------------------------
-- Schema Gator_HatchlingDB
-- -----------------------------------------------------
-- Gator_Hatchling Project's Database
-- This is the LMS database
DROP SCHEMA IF EXISTS `Gator_HatchlingDB` ;
-- -----------------------------------------------------
-- Schema Gator_HatchlingDB
--
-- Gator_Hatchling Project's Database
-- This is the LMS database
-- -----------------------------------------------------
CREATE SCHEMA IF NOT EXISTS `Gator_HatchlingDB` DEFAULT CHARACTER SET utf8 ;
USE `Gator_HatchlingDB` ;
-- -----------------------------------------------------
-- Table `Gator_HatchlingDB`.`Student`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `Gator_HatchlingDB`.`Student` (
`Student_id` INT NOT NULL,
`Student_fname` VARCHAR(45) NOT NULL,
`Student_lname` VARCHAR(45) NOT NULL,
`Student_email` VARCHAR(45) NULL,
`Student_phone` VARCHAR(45) NULL,
PRIMARY KEY (`Student_id`),
UNIQUE INDEX `Student_id_UNIQUE` (`Student_id` ASC))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `Gator_HatchlingDB`.`Course`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `Gator_HatchlingDB`.`Course` (
`Course_id` INT NOT NULL,
`Course_name` VARCHAR(45) NOT NULL,
`Course_credit` INT NULL,
PRIMARY KEY (`Course_id`),
UNIQUE INDEX `Course_id_UNIQUE` (`Course_id` ASC))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `Gator_HatchlingDB`.`Record`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `Gator_HatchlingDB`.`Record` (
`Student_Course_id` INT NOT NULL,
`Student_id` INT NOT NULL,
`Course_id` INT NOT NULL,
`Student_grade` INT NOT NULL,
`Student_exam` VARCHAR(45) NULL,
PRIMARY KEY (`Student_Course_id`),
INDEX `fk_Student_has_Course_Course1_idx` (`Course_id` ASC),
INDEX `fk_Student_has_Course_Student_idx` (`Student_id` ASC),
UNIQUE INDEX `Student_has_Course_grade_UNIQUE` (`Student_Course_id` ASC),
CONSTRAINT `fk_Student_has_Course_Student`
FOREIGN KEY (`Student_id`)
REFERENCES `Gator_HatchlingDB`.`Student` (`Student_id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT `fk_Student_has_Course_Course1`
FOREIGN KEY (`Course_id`)
REFERENCES `Gator_HatchlingDB`.`Course` (`Course_id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `Gator_HatchlingDB`.`Student Profile`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `Gator_HatchlingDB`.`Student Profile` (
`Profile_id` INT NOT NULL,
`Profile_name` VARCHAR(45) NULL,
`Profilet_enrollment` VARCHAR(45) NULL,
`Profile_GPA` DOUBLE NULL,
PRIMARY KEY (`Profile_id`))
ENGINE = InnoDB;
SET SQL_MODE=@OLD_SQL_MODE;
SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS;
SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
|
-- phpMyAdmin SQL Dump
-- version 5.1.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Aug 28, 2021 at 05:04 PM
-- Server version: 10.4.20-MariaDB
-- PHP Version: 7.3.29
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: `lab_management`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`id_admin` varchar(10) NOT NULL,
`nama_admin` varchar(50) NOT NULL,
`namaloginadm` varchar(50) NOT NULL,
`password_adm` varchar(12) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`id_admin`, `nama_admin`, `namaloginadm`, `password_adm`) VALUES
('001', '<PASSWORD>1', '<PASSWORD>', '<PASSWORD>');
-- --------------------------------------------------------
--
-- Table structure for table `aset`
--
CREATE TABLE `aset` (
`kode_aset` varchar(10) NOT NULL,
`nama_aset` varchar(50) NOT NULL,
`spesifikasi` varchar(50) NOT NULL,
`klasifikasi` varchar(50) NOT NULL,
`jumlah_aset` int(11) NOT NULL,
`lokasi_aset` varchar(50) NOT NULL,
`status` enum('tersedia','tidak tersedia','','') NOT NULL,
`foto_aset` blob NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `aset`
--
INSERT INTO `aset` (`kode_aset`, `nama_aset`, `spesifikasi`, `klasifikasi`, `jumlah_aset`, `lokasi_aset`, `status`, `foto_aset`) VALUES
('AS01', 'laptop', 'Intel Core I3', '<NAME>', 5, 'Laboratorium', 'tersedia', 0x53637265656e73686f74202831393437292e706e67),
('AS02', 'komputer', 'Intel Core I3', '<NAME>', 5, 'Laboratorium', 'tersedia', 0x50696374757265312e706e67);
-- --------------------------------------------------------
--
-- Table structure for table `form_pelaks`
--
CREATE TABLE `form_pelaks` (
`tgl_laporan` date NOT NULL,
`id_user` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `laporan_data_aset`
--
CREATE TABLE `laporan_data_aset` (
`tgl_laporan` date NOT NULL,
`kode_aset` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `pelaks_prak`
--
CREATE TABLE `pelaks_prak` (
`kode` varchar(10) NOT NULL,
`tgl_mulai` datetime NOT NULL,
`tgl_selesai` datetime DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `pelaks_prak`
--
INSERT INTO `pelaks_prak` (`kode`, `tgl_mulai`, `tgl_selesai`) VALUES
('AS01', '2021-08-28 04:39:00', '2021-08-28 02:59:00'),
('AS02', '2021-08-28 04:40:00', '2021-08-28 04:40:00'),
('AS01', '2021-08-28 02:58:00', '2021-08-28 02:59:00');
-- --------------------------------------------------------
--
-- Table structure for table `perencanaanprak`
--
CREATE TABLE `perencanaanprak` (
`kode_belajar` varchar(10) NOT NULL,
`tgl_mulai` date NOT NULL,
`tgl_selesai` date NOT NULL,
`lokasi` varchar(50) NOT NULL,
`judul` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `perencanaanprak`
--
INSERT INTO `perencanaanprak` (`kode_belajar`, `tgl_mulai`, `tgl_selesai`, `lokasi`, `judul`) VALUES
('PR01', '2021-08-01', '2021-08-29', 'Gedung Labtek 1', 'Algoritma dan Struktur Data');
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE `user` (
`id_user` varchar(10) NOT NULL,
`nama_user` varchar(50) NOT NULL,
`namalogin_usr` varchar(50) NOT NULL,
`password_usr` varchar(12) NOT NULL,
`role` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`id_user`, `nama_user`, `namalogin_usr`, `password_usr`, `role`) VALUES
('US001', '<NAME>', 'maffandi', '123', 'User');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `admin`
--
ALTER TABLE `admin`
ADD PRIMARY KEY (`id_admin`);
--
-- Indexes for table `aset`
--
ALTER TABLE `aset`
ADD PRIMARY KEY (`kode_aset`);
--
-- Indexes for table `form_pelaks`
--
ALTER TABLE `form_pelaks`
ADD PRIMARY KEY (`tgl_laporan`),
ADD KEY `id_user` (`id_user`);
--
-- Indexes for table `laporan_data_aset`
--
ALTER TABLE `laporan_data_aset`
ADD PRIMARY KEY (`tgl_laporan`),
ADD KEY `kode_aset` (`kode_aset`);
--
-- Indexes for table `pelaks_prak`
--
ALTER TABLE `pelaks_prak`
ADD KEY `kode_aset` (`kode`);
--
-- Indexes for table `perencanaanprak`
--
ALTER TABLE `perencanaanprak`
ADD PRIMARY KEY (`kode_belajar`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`id_user`);
--
-- Constraints for dumped tables
--
--
-- Constraints for table `form_pelaks`
--
ALTER TABLE `form_pelaks`
ADD CONSTRAINT `form_pelaks_ibfk_1` FOREIGN KEY (`id_user`) REFERENCES `user` (`id_user`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `laporan_data_aset`
--
ALTER TABLE `laporan_data_aset`
ADD CONSTRAINT `laporan_data_aset_ibfk_1` FOREIGN KEY (`kode_aset`) REFERENCES `aset` (`kode_aset`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `pelaks_prak`
--
ALTER TABLE `pelaks_prak`
ADD CONSTRAINT `pelaks_prak_ibfk_1` FOREIGN KEY (`kode`) REFERENCES `aset` (`kode_aset`) 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 */;
|
<filename>src/test/resources/fts3fault.test_10.sql
-- fts3fault.test
--
-- execsql {
-- CREATE VIRTUAL TABLE t4 USING fts4;
-- INSERT INTO t4 VALUES('The British Government called on');
-- INSERT INTO t4 VALUES('as pesetas then became much');
-- }
CREATE VIRTUAL TABLE t4 USING fts4;
INSERT INTO t4 VALUES('The British Government called on');
INSERT INTO t4 VALUES('as pesetas then became much'); |
CREATE PROCEDURE [dbo].[dnn_DeleteFolder]
@PortalID int,
@FolderPath nvarchar(300)
AS
BEGIN
IF @PortalID is null
BEGIN
DELETE FROM dbo.dnn_Folders
WHERE PortalID is null AND FolderPath = @FolderPath
END ELSE BEGIN
DELETE FROM dbo.dnn_Folders
WHERE PortalID = @PortalID AND FolderPath = @FolderPath
END
END
|
select
'net.squarelabs.sqorm.model.Customer' as classpath,
hex(c.`CustomerId`) as `CustomerId`,
c.name,
c.version
from `Customer` c
where c.`CustomerId`=unhex(@CustomerId)
;
select
'net.squarelabs.sqorm.model.Order' as classpath,
o.order_id,
hex(o.customer_id) as customer_id,
o.version
from `Customer` c
inner join `Orders` o
on o.customer_id=c.`CustomerId`
where c.`CustomerId`=unhex(@CustomerId)
;
select
'net.squarelabs.sqorm.model.OrderDetails' as classpath,
od.*
from `Customer` c
inner join `Orders` o
on o.customer_id=c.`CustomerId`
inner join `OrderDetails` od
on od.order_id=o.order_id
where c.`CustomerId`=unhex(@CustomerId)
;
|
-- file:matview.sql ln:38 expect:true
CREATE VIEW mvtest_tvvmv AS SELECT * FROM mvtest_tvvm
|
-- file:strings.sql ln:430 expect:true
SELECT strpos('abcdef', 'cd') AS "pos_3"
|
-- file:vacuum.sql ln:40 expect:true
SELECT * FROM vactst
|
CREATE TABLE "OFFENDER_PAY_STATUSES"
( "OFFENDER_BOOK_ID" NUMBER(10,0) NOT NULL,
"START_DATE" DATE NOT NULL,
"END_DATE" DATE,
"SPECIAL_PAY_TYPE_CODE" VARCHAR2(12 CHAR) NOT NULL,
"COMMENT_TEXT" VARCHAR2(240 CHAR),
"CREATE_DATETIME" TIMESTAMP (9) DEFAULT systimestamp NOT NULL,
"CREATE_USER_ID" VARCHAR2(32 CHAR) DEFAULT USER NOT NULL,
"MODIFY_DATETIME" TIMESTAMP (9),
"MODIFY_USER_ID" VARCHAR2(32 CHAR),
"AUDIT_TIMESTAMP" TIMESTAMP (9),
"AUDIT_USER_ID" VARCHAR2(32 CHAR),
"AUDIT_MODULE_NAME" VARCHAR2(65 CHAR),
"AUDIT_CLIENT_USER_ID" VARCHAR2(64 CHAR),
"AUDIT_CLIENT_IP_ADDRESS" VARCHAR2(39 CHAR),
"AUDIT_CLIENT_WORKSTATION_NAME" VARCHAR2(64 CHAR),
"AUDIT_ADDITIONAL_INFO" VARCHAR2(256 CHAR),
CONSTRAINT "OFFENDER_PAY_STATUSES_PK" PRIMARY KEY ("OFFENDER_BOOK_ID", "START_DATE"),
);
CREATE UNIQUE INDEX "OFFENDER_PAY_STATUSES_PK" ON "OFFENDER_PAY_STATUSES" ("OFFENDER_BOOK_ID", "START_DATE");
CREATE INDEX "OFFENDER_PAY_STATUSES_FK1" ON "OFFENDER_PAY_STATUSES" ("OFFENDER_BOOK_ID");
|
SELECT
ISNULL(E.FirstName + ' ' + E.LastName, 'None') AS Employee,
ISNULL(D.Name,'None') AS Department,
ISNULL(C.Name, 'None') AS Category,
ISNULL(R.Description, 'None') AS Description,
ISNULL(FORMAT(R.OpenDate, 'dd.MM.yyyy'), 'None') AS OpenDate,
ISNULL(S.Label, 'None') AS Status,
ISNULL(U.Name, 'None') AS 'User'
FROM Reports AS r
LEFT JOIN Employees E
ON E.Id = r.EmployeeId
LEFT JOIN Departments D
ON E.DepartmentId = D.Id
LEFT JOIN Categories C
ON C.Id = r.CategoryId
LEFT JOIN Status S
ON S.Id = r.StatusId
LEFT JOIN Users U
ON U.Id = r.UserId
ORDER BY E.FirstName DESC,
E.LastName DESC,
Department,
Category,
r.Description,
r.OpenDate,
S.Label,
[USER]
|
-- 2020-02-26T08:50:07.433Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Element_Trl SET PrintName='Federal Statistical Office', IsTranslated='Y', Name='Federal Statistical Office',Updated=TO_TIMESTAMP('2020-02-26 10:50:07','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Language='en_US' AND AD_Element_ID=575522
;
-- 2020-02-26T08:50:07.438Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_TRL_Tables_On_AD_Element_TRL_Update(575522,'en_US')
;
-- 2020-02-26T08:50:12.245Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Element_Trl SET IsTranslated='Y',Updated=TO_TIMESTAMP('2020-02-26 10:50:12','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Language='de_DE' AND AD_Element_ID=575522
;
-- 2020-02-26T08:50:12.246Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_TRL_Tables_On_AD_Element_TRL_Update(575522,'de_DE')
;
-- 2020-02-26T08:50:12.265Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_ad_element_on_ad_element_trl_update(575522,'de_DE')
;
-- 2020-02-26T08:50:19.419Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Element_Trl SET PrintName='Bundesamt für Statistik', IsTranslated='Y', Name='Bundesamt für Statistik',Updated=TO_TIMESTAMP('2020-02-26 10:50:19','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Language='de_CH' AND AD_Element_ID=575522
;
-- 2020-02-26T08:50:19.421Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_TRL_Tables_On_AD_Element_TRL_Update(575522,'de_CH')
;
-- 2020-02-26T08:50:39.310Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Element_Trl SET IsTranslated='Y',Updated=TO_TIMESTAMP('2020-02-26 10:50:39','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Language='de_CH' AND AD_Element_ID=577567
;
-- 2020-02-26T08:50:39.312Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_TRL_Tables_On_AD_Element_TRL_Update(577567,'de_CH')
;
-- 2020-02-26T08:50:41.743Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Element_Trl SET IsTranslated='Y',Updated=TO_TIMESTAMP('2020-02-26 10:50:41','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Language='de_DE' AND AD_Element_ID=577567
;
-- 2020-02-26T08:50:41.745Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_TRL_Tables_On_AD_Element_TRL_Update(577567,'de_DE')
;
-- 2020-02-26T08:50:41.763Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_ad_element_on_ad_element_trl_update(577567,'de_DE')
;
-- 2020-02-26T08:50:45.514Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
UPDATE AD_Element_Trl SET PrintName='Master Data Mutation Log', IsTranslated='Y', Name='Master Data Mutation Log',Updated=TO_TIMESTAMP('2020-02-26 10:50:45','YYYY-MM-DD HH24:MI:SS'),UpdatedBy=100 WHERE AD_Language='en_US' AND AD_Element_ID=577567
;
-- 2020-02-26T08:50:45.516Z
-- I forgot to set the DICTIONARY_ID_COMMENTS System Configurator
/* DDL */ select update_TRL_Tables_On_AD_Element_TRL_Update(577567,'en_US')
;
|
insert into
lekage_safe_00a467b9290129a71c6b496813cf52b437d878f25148773494967e2b85a2031b
select istream
*
from
observation(id = "<KEY>").win:length(2)
where
prev(resultValue) = resultValue
or
prev(resultValue) is null
|
<reponame>jabibamman/Repertoire_jfx<gh_stars>0
-- --------------------------------------------------------
-- Hôte: 127.0.0.1
-- Version du serveur: 10.6.5-MariaDB - mariadb.org binary distribution
-- SE du serveur: Win64
-- HeidiSQL Version: 11.3.0.6295
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT = @@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!50503 SET NAMES utf8mb4 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS = @@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS = 0 */;
/*!40101 SET @OLD_SQL_MODE = @@SQL_MODE, SQL_MODE = 'NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES = @@SQL_NOTES, SQL_NOTES = 0 */;
-- Listage de la structure de la base pour repertoire
DROP DATABASE IF EXISTS `repertoire`;
CREATE DATABASE IF NOT EXISTS `repertoire` /*!40100 DEFAULT CHARACTER SET latin1 */;
USE `repertoire`;
-- Listage de la structure de la table repertoire. contact
DROP TABLE IF EXISTS `contact`;
CREATE TABLE IF NOT EXISTS `contact`
(
`id` int(10) NOT NULL AUTO_INCREMENT,
`nom` varchar(20) NOT NULL DEFAULT '',
`prenom` varchar(20) NOT NULL DEFAULT '',
`adresse` varchar(40) NOT NULL DEFAULT '',
`ville` varchar(20) NOT NULL DEFAULT '',
`cp` varchar(5) NOT NULL DEFAULT '0',
`tel` varchar(10) NOT NULL DEFAULT '0',
`email` varchar(40) NOT NULL DEFAULT '',
PRIMARY KEY (`id`)
) ENGINE = InnoDB
AUTO_INCREMENT = 24
DEFAULT CHARSET = latin1;
-- Listage des données de la table repertoire.contact : ~23 rows (environ)
DELETE
FROM `contact`;
/*!40000 ALTER TABLE `contact`
DISABLE KEYS */;
INSERT INTO `contact` (`id`, `nom`, `prenom`, `adresse`, `ville`, `cp`, `tel`, `email`)
VALUES (1, 'Bernard', 'Alice', '10 avenue des Allées', 'Etampes', '91150', '0132324500', '<EMAIL>'),
(2, 'Petit', 'Marc', '88 rue de la sabliere', 'Etampes', '91150', '0132239987', '<EMAIL>'),
(3, 'Roux', 'Alexandre', '07 avenue du 8 mai', 'Etampes', '91150', '0198475847', '<EMAIL>'),
(4, 'David', 'Cecile', '10 rue de la république', 'Etampes', '91150', '0132999008', '<EMAIL>'),
(5, 'Muller', 'Loic', '78 rue de la république', 'Etampes', '91150', '0132386655', '<EMAIL>'),
(6, 'Fontaine', 'Melissa', '10 avenue de la libération', 'Etampes', '91150', '0176588893',
'<EMAIL>'),
(7, 'Bonnet', 'Sebastien', '67 rue de la region', 'Lardy', '91344', '0109843098', '<EMAIL>'),
(8, 'Lambert', 'Dimitri', '5 rue de la croix', 'Longjumeau', '91099', '0143987398', '<EMAIL>'),
(9, 'Blanc', 'Vincent', '54 avenue du chene', 'Marolles', '91988', '0693847747', '<EMAIL>'),
(10, 'Robin', 'Matilde', '09 avenue de la motte', 'Evry', '91039', '0637683738', '<EMAIL>'),
(11, 'Mercier', 'Nicolas', '5 bis rue des Maronniers', 'Morigny', '91150', '0109898656', '<EMAIL>'),
(12, 'Perrin', 'David', '67 rue du martin', 'Massy', '91098', '0199876788', '<EMAIL>'),
(13, 'Masson', 'Jimmy', '54 rue des boites', 'Evry', '91966', '0109879776', '<EMAIL>'),
(14, 'Dufour', 'Jessica', '12 rue des moulins', 'Bretigny', '91953', '0678939334', '<EMAIL>'),
(15, 'Gautier', 'Younes', '12 rue des bulles', 'Orsay', '91728', '0676454669', '<EMAIL>'),
(16, 'Joly', 'Enzo', '10 rue des Lambeaux', 'Morigny', '91150', '0198798980', '<EMAIL>'),
(17, 'Schmitt', 'Cedric', '08 rue de la veille', 'Etrechy', '91136', '0198767789', '<EMAIL>'),
(18, 'Vidal', 'Amendine', '23 avenue de la fontaine', 'Boissy le sec', '91228', '0627272888',
'<EMAIL>'),
(19, 'Royer', 'Anthony', '15 rue des pigeons', 'Arpajon', '91876', '0196789079', '<EMAIL>'),
(20, 'Robin', 'Matilde', '09 avenue de la motte', 'Evry', '91039', '0637683738', '<EMAIL>'),
(21, 'ABIB', 'James', '187 rue du brelor', 'Etampes', '91150', '0698574989', '<EMAIL>'),
(22, 'Vernhes', 'Jordan', '52 rue de la boite', 'Evry', '91966', '0613192346', '<EMAIL>'),
(23, 'Gauret', 'Lucas', '20 rue de la pate', 'Etampe', '91150', '0732196734', '<EMAIL>');
/*!40000 ALTER TABLE `contact`
ENABLE KEYS */;
/*!40101 SET SQL_MODE = IFNULL(@OLD_SQL_MODE, '') */;
/*!40014 SET FOREIGN_KEY_CHECKS = IFNULL(@OLD_FOREIGN_KEY_CHECKS, 1) */;
/*!40101 SET CHARACTER_SET_CLIENT = @OLD_CHARACTER_SET_CLIENT */;
/*!40111 SET SQL_NOTES = IFNULL(@OLD_SQL_NOTES, 1) */;
|
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