text stringlengths 6 9.38M |
|---|
select /*%expand*/*
from Bookmark
where entryId = /* entryId */123
|
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/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `perpus`
--
-- --------------------------------------------------------
--
-- Table structure for table `buku`
--
CREATE TABLE `buku` (
`idDataBuku` int(11) NOT NULL,
`nomerBuku` varchar(256) NOT NULL,
`judulBuku` varchar(256) NOT NULL,
`penulis` varchar(256) NOT NULL
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--
-- Dumping data for table `buku`
--
INSERT INTO `buku` (`idDataBuku`, `nomerBuku`, `judulBuku`, `penulis`) VALUES
(1, '2017011', 'Mahasiswa Dalam Buku', 'Paijo');
-- --------------------------------------------------------
--
-- Table structure for table `ta`
--
CREATE TABLE `ta` (
`idData` int(11) NOT NULL,
`nomerTA` varchar(256) NOT NULL,
`judulTA` varchar(250) NOT NULL,
`penulis` varchar(250) NOT NULL,
`tahunTA` varchar(256) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `ta`
--
INSERT INTO `ta` (`idData`, `nomerTA`, `judulTA`, `penulis`, `tahunTA`) VALUES
(1, '2017001137', 'Apa aja boleh', 'Paijo Suherman', '2017');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `buku`
--
ALTER TABLE `buku`
ADD PRIMARY KEY (`idDataBuku`);
--
-- Indexes for table `ta`
--
ALTER TABLE `ta`
ADD PRIMARY KEY (`idData`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `buku`
--
ALTER TABLE `buku`
MODIFY `idDataBuku` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `ta`
--
ALTER TABLE `ta`
MODIFY `idData` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
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|
-- phpMyAdmin SQL Dump
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-- http://www.phpmyadmin.net
--
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-- PHP Version: 5.5.12
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/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `fyp`
--
#Create Tables for Blue Ocean
#Blue Ocean Strategy
CREATE TABLE IF NOT EXISTS `blueoceanstrategy_product`
(
`userid` varchar(50) COLLATE utf8_general_ci not null,
`project_name` varchar(50) COLLATE utf8_general_ci not null,
`product_id` int COLLATE utf8_general_ci not null,
`product_name` varchar(50) COLLATE utf8_general_ci not null,
`type` varchar(50) COLLATE utf8_general_ci not null,
`budget` Double COLLATE utf8_general_ci not null,
CONSTRAINT PRIMARY KEY (`userid`,`project_name`,`product_id`)
)ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_general_ci;
CREATE TABLE IF NOT EXISTS `blueoceanstrategy_operator`
(
`userid` varchar(50) COLLATE utf8_general_ci not null,
`project_name` varchar(50) COLLATE utf8_general_ci not null,
`product_id` int COLLATE utf8_general_ci not null,
`operator_id` int COLLATE utf8_general_ci not null,
`operator_name` varchar(50) COLLATE utf8_general_ci not null,
`weight` int COLLATE utf8_general_ci not null,
`max_value` int COLLATE utf8_general_ci not null,
`per_unit_value` int COLLATE utf8_general_ci not null,
`original_value` int COLLATE utf8_general_ci not null,
`new_value` int COLLATE utf8_general_ci not null,
`original_product_name` varchar(100) COLLATE utf8_general_ci not null,
CONSTRAINT PRIMARY KEY (`userid`,`project_name`,`product_id`, `operator_id`),
FOREIGN KEY (`userid`,`project_name`,`product_id`) REFERENCES blueoceanstrategy_product(`userid`,`project_name`,`product_id`)
)ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_general_ci;
--
-- Table structure for table `businessmodecanvas`
--
CREATE TABLE IF NOT EXISTS `businessmodecanvas` (
`company_name` varchar(100) NOT NULL,
`company_id` int(11) NOT NULL,
`key_partners` varchar(1000) NOT NULL,
`key_activities` varchar(1000) NOT NULL,
`key_resources` varchar(1000) NOT NULL,
`value_proposition` varchar(500) NOT NULL,
`customer_segments` varchar(500) NOT NULL,
`cost_structure` varchar(100) NOT NULL,
`revenue_stream` varchar(500) NOT NULL,
`business_statement` varchar(1000) NOT NULL,
PRIMARY KEY (`company_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `demographics`
--
CREATE TABLE IF NOT EXISTS `demographics` (
`name` varchar(15) NOT NULL,
`password` varchar(40) NOT NULL,
`email` varchar(42) NOT NULL,
`userid` varchar(42) NOT NULL,
`type` varchar(20) NOT NULL,
PRIMARY KEY (`userid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `demographics`
--
INSERT INTO `demographics` (`name`, `password`, `email`,`userid`, `type`) VALUES
('Gary Wong', '12345678', 'gary.wong.2014@sis.smu.edu.sg','gary.wong.2014', 'administrator'),
('GARY WONG', '12345678', 'life_fullofpassion@hotmail.com','life_fullofpassion', 'student'),
('junhui', '1234', 'testing@email.com','testing', 'student');
-- --------------------------------------------------------
--
-- Table structure for table `groups`
--
CREATE TABLE IF NOT EXISTS `groups` (
`course` varchar(15) NOT NULL,
`session` varchar(40) NOT NULL,
`courseid` varchar(42) NOT NULL,
`instructorEmail` varchar(42) NOT NULL,
PRIMARY KEY (`instructorEmail`, `session`, `courseid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `qadim_operator`
--
CREATE TABLE IF NOT EXISTS `qadim_operator` (
`userid` varchar(50) NOT NULL,
`operator_name` varchar(100) NOT NULL,
`product_id` int(11) NOT NULL,
`operator_id` int(11) NOT NULL,
`comments` text(1000) NOT NULL,
PRIMARY KEY (`userid`, `product_id`, `operator_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `qadim_operator`
--
-- --------------------------------------------------------
--
-- Table structure for table `qadim_product`
--
CREATE TABLE IF NOT EXISTS `qadim_product` (
`userid` varchar(50) NOT NULL,
`project_name` varchar(50) NOT NULL,
`product_id` int(11) NOT NULL,
`product_name` varchar(50) NOT NULL,
PRIMARY KEY (`product_id`, `project_name`, `userid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `qadim_product`
--
INSERT INTO `qadim_product` (`userid`, `project_name`, `product_id`, `product_name`) VALUES
('gary', 'project1', 12345, 'car');
--
-- Constraints for dumped tables
--
/*!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 execution_info (id_zip_code,id_commercial_premise_type)
SELECT id, 1
FROM zip_code_info
WHERE zip_code like '2804%' |
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-- PHP Version: 7.2.18
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 */;
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/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `exam`
--
-- --------------------------------------------------------
--
-- Table structure for table `faculty`
--
DROP TABLE IF EXISTS `faculty`;
CREATE TABLE IF NOT EXISTS `faculty` (
`f_id` int(10) NOT NULL AUTO_INCREMENT,
`f_fname` varchar(500) NOT NULL,
`f_lname` varchar(100) NOT NULL,
`f_email` varchar(500) NOT NULL,
`f_password` varchar(500) NOT NULL,
PRIMARY KEY (`f_id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `faculty`
--
INSERT INTO `faculty` (`f_id`, `f_fname`, `f_lname`, `f_email`, `f_password`) VALUES
(1, 'Tony', 'Stark', 'tony@gmail.com', 'tony'),
(2, 'Bucky', 'Barnes', 'bucky@gmail.com', 'bucky');
-- --------------------------------------------------------
--
-- Table structure for table `faculty_test_map`
--
DROP TABLE IF EXISTS `faculty_test_map`;
CREATE TABLE IF NOT EXISTS `faculty_test_map` (
`f_id` int(11) DEFAULT NULL,
`t_id` int(11) DEFAULT NULL,
KEY `f_id` (`f_id`),
KEY `t_id` (`t_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `faculty_test_map`
--
INSERT INTO `faculty_test_map` (`f_id`, `t_id`) VALUES
(1, 78),
(1, 84),
(1, 85),
(1, 86);
-- --------------------------------------------------------
--
-- Table structure for table `question`
--
DROP TABLE IF EXISTS `question`;
CREATE TABLE IF NOT EXISTS `question` (
`t_id` int(100) DEFAULT NULL,
`q_id` int(100) NOT NULL AUTO_INCREMENT,
`question` varchar(255) DEFAULT NULL,
`a` varchar(255) DEFAULT NULL,
`b` varchar(255) DEFAULT NULL,
`c` varchar(255) DEFAULT NULL,
`d` varchar(255) DEFAULT NULL,
`answer` varchar(255) NOT NULL,
`marks` int(100) DEFAULT NULL,
PRIMARY KEY (`q_id`),
KEY `q_id` (`t_id`)
) ENGINE=InnoDB AUTO_INCREMENT=61 DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `question`
--
INSERT INTO `question` (`t_id`, `q_id`, `question`, `a`, `b`, `c`, `d`, `answer`, `marks`) VALUES
(78, 42, 'Which of the following option leads to the portability and security of Java?', 'Bytecode is executed by JVM', 'The applet makes the Java code secure and portable', 'Use of exception handling', 'Dynamic binding between objects', 'b', 1),
(78, 43, 'Which of the following is not a Java features?', 'Dynamic', 'Architecture Neutral', 'Use of pointers', 'Object-oriented', 'd', 5),
(78, 44, 'The u0021 article referred to as a', 'Unicode escape sequence', 'Octal escape', 'Hexadecimal', 'Line feed', 'c', 3),
(78, 45, 'What is Java?', 'Java', 'Python', 'HTML', 'CSS', 'a', 2),
(84, 52, 'Which of the following browser supports HTML5 in its latest version?', ' Mozilla Firefox', 'Opera', 'Both of the above', 'None of the above', 'a', 10),
(84, 53, 'Which of the following is correct about custom attributes in HTML5?', 'A custom data attribute starts with data- and would be named based on your requirement.', 'You would be able to get the values of these attributes using JavaScript APIs or CSS in similar way as you get for standard attributes.', ' Both of the above.', 'None of the above.', 'a', 10),
(84, 54, 'Which of the following input control represents a date and time (year, month, day, hour, minute, second, fractions of a second) encoded according to ISO 8601 with no time zone information in Web Form 2.0?', 'datetime', 'datetime-local', 'date', ' month', 'b', 10),
(84, 55, ' Which of the following is true about Session Storage in HTML5?', ' HTML5 introduces the sessionStorage attribute which would be used by the sites to add data to the session storage.', 'It will be accessible to any page from the same site opened in that window i.e. session.', 'As soon as you close the window, session would be lost.', ' All of the above.', 'd', 10),
(84, 56, 'Which value of Socket.readyState atribute of WebSocket indicates that the connection has not yet been established?', '0', '1', '2', '3', 'a', 10),
(85, 57, 'Which operator is right-associative', '*', '=', '+', '%', 'b', 2),
(85, 58, 'Which code is used to open a file for binary writing?', '\'w\'', ' \'wb\'', '\'r+\'', '\'a\'', 'b', 2),
(86, 59, 'ques1', 'answer1', 'answer2', 'answer3', 'answer4', 'a', 1),
(86, 60, 'ques2', 'option1', 'option2', 'option3', 'option4', 'a', 2);
-- --------------------------------------------------------
--
-- Table structure for table `student`
--
DROP TABLE IF EXISTS `student`;
CREATE TABLE IF NOT EXISTS `student` (
`s_id` int(100) NOT NULL AUTO_INCREMENT,
`s_fname` varchar(500) NOT NULL,
`s_lname` varchar(500) NOT NULL,
`s_gender` varchar(10) NOT NULL,
`s_phone` int(10) NOT NULL,
`s_dob` date NOT NULL,
`s_email` varchar(500) NOT NULL,
`s_password` varchar(100) DEFAULT NULL,
PRIMARY KEY (`s_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `student`
--
INSERT INTO `student` (`s_id`, `s_fname`, `s_lname`, `s_gender`, `s_phone`, `s_dob`, `s_email`, `s_password`) VALUES
(1, 'Arpita', 'Kar', 'Female', 2147483647, '2021-10-06', 'arpita@gmail.com', '$2y$10$UIGUGo1TzPIFXpRDiArDeuSdHzHg94xh7cIbMKXILn.nyDPO0vAgS'),
(2, 'Sadiya', 'Shaikh', 'Female', 1234567891, '2021-10-30', 'sadiya@gmail.com', '$2y$10$arl.w4pJo3SL1xnICgWvluuWFHPvTmvMdbK5c1jO/.iLwwoyQOsyy'),
(3, 'Sprash', 'Bindro', 'Male', 2147483647, '2021-10-03', 'sparsh@gmail.com', '$2y$10$gye.OxVVWR5GlvbUA1Edwe.bftE.64t.Zp/TMIuyx6DJKJSDkQmc.');
-- --------------------------------------------------------
--
-- Table structure for table `student_answer`
--
DROP TABLE IF EXISTS `student_answer`;
CREATE TABLE IF NOT EXISTS `student_answer` (
`t_id` int(100) DEFAULT NULL,
`q_id` int(100) DEFAULT NULL,
`answer` varchar(255) NOT NULL,
`sans` varchar(255) DEFAULT NULL,
`s_id` int(11) DEFAULT NULL,
KEY `fk_t_id` (`t_id`),
KEY `fk_q_id` (`q_id`),
KEY `fk_s_id` (`s_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `student_answer`
--
INSERT INTO `student_answer` (`t_id`, `q_id`, `answer`, `sans`, `s_id`) VALUES
(78, 42, 'b', 'b', 1),
(78, 43, 'd', 'd', 1),
(78, 44, 'c', 'c', 1),
(78, 45, 'a', 'b', 1),
(84, 52, 'a', 'a', 1),
(84, 53, 'a', 'a', 1),
(84, 54, 'b', 'b', 1),
(84, 55, 'd', 'd', 1),
(84, 56, 'a', 'a', 1),
(85, 57, 'b', 'b', 1),
(85, 58, 'b', 'b', 1),
(86, 60, 'd', 'a', 1),
(86, 59, 'a', 'a', 1),
(85, 58, 'b', 'b', 1),
(85, 57, 'b', 'a', 1),
(78, 42, 'b', 'a', 1),
(78, 43, 'd', 'b', 1),
(78, 44, 'c', 'c', 1),
(78, 45, 'a', 'a', 1);
-- --------------------------------------------------------
--
-- Table structure for table `student_test_map`
--
DROP TABLE IF EXISTS `student_test_map`;
CREATE TABLE IF NOT EXISTS `student_test_map` (
`s_id` int(100) DEFAULT NULL,
`t_id` int(100) DEFAULT NULL,
`seat_no` varchar(100) DEFAULT NULL,
`attendence` varchar(50) DEFAULT NULL,
`date` varchar(255) DEFAULT NULL,
`time` varchar(255) DEFAULT NULL,
`marks_scored` int(100) DEFAULT NULL,
`pass_fail` varchar(100) DEFAULT NULL,
`wrong_answer` int(100) DEFAULT NULL,
`right_answer` int(100) DEFAULT NULL,
`percentage` float DEFAULT NULL,
KEY `s_id` (`s_id`),
KEY `t_id` (`t_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `student_test_map`
--
INSERT INTO `student_test_map` (`s_id`, `t_id`, `seat_no`, `attendence`, `date`, `time`, `marks_scored`, `pass_fail`, `wrong_answer`, `right_answer`, `percentage`) VALUES
(1, 78, '12344', 'Yes', '2021-Nov-Sun', '01:22:16', 14, 'Pass', 3, 5, 127.27),
(1, 85, NULL, 'Yes', '2021-Nov-Sun', '01:31:20', NULL, NULL, NULL, NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `test`
--
DROP TABLE IF EXISTS `test`;
CREATE TABLE IF NOT EXISTS `test` (
`t_id` int(100) NOT NULL AUTO_INCREMENT,
`t_name` varchar(100) NOT NULL,
`date` date NOT NULL,
`time` int(255) NOT NULL,
`total_marks` int(100) NOT NULL,
`total_ques` int(100) NOT NULL,
PRIMARY KEY (`t_id`)
) ENGINE=InnoDB AUTO_INCREMENT=87 DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `test`
--
INSERT INTO `test` (`t_id`, `t_name`, `date`, `time`, `total_marks`, `total_ques`) VALUES
(78, 'Java', '2021-10-29', 1, 11, 4),
(84, 'HTML', '2021-10-31', 2, 50, 5),
(85, 'Python', '2021-10-29', 1, 4, 3),
(86, 'Test1', '2021-11-07', 3, 3, 2);
--
-- Constraints for dumped tables
--
--
-- Constraints for table `faculty_test_map`
--
ALTER TABLE `faculty_test_map`
ADD CONSTRAINT `f_id` FOREIGN KEY (`f_id`) REFERENCES `faculty` (`f_id`) ON DELETE CASCADE,
ADD CONSTRAINT `t_id` FOREIGN KEY (`t_id`) REFERENCES `test` (`t_id`) ON DELETE CASCADE;
--
-- Constraints for table `question`
--
ALTER TABLE `question`
ADD CONSTRAINT `q_id` FOREIGN KEY (`t_id`) REFERENCES `test` (`t_id`) ON DELETE CASCADE,
ADD CONSTRAINT `question_ibfk_1` FOREIGN KEY (`t_id`) REFERENCES `test` (`t_id`);
--
-- Constraints for table `student_answer`
--
ALTER TABLE `student_answer`
ADD CONSTRAINT `fk_q_id` FOREIGN KEY (`q_id`) REFERENCES `question` (`q_id`),
ADD CONSTRAINT `fk_s_id` FOREIGN KEY (`s_id`) REFERENCES `student` (`s_id`),
ADD CONSTRAINT `fk_t_id` FOREIGN KEY (`t_id`) REFERENCES `test` (`t_id`);
--
-- Constraints for table `student_test_map`
--
ALTER TABLE `student_test_map`
ADD CONSTRAINT `student_test_map_ibfk_1` FOREIGN KEY (`s_id`) REFERENCES `student` (`s_id`) ON DELETE CASCADE,
ADD CONSTRAINT `student_test_map_ibfk_2` FOREIGN KEY (`t_id`) REFERENCES `test` (`t_id`) ON DELETE 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 */;
|
-- =============================================
-- Author: OMAR RODRIGUEZ
-- Create date: 14/09/2018
-- Description: INSERTAR VALORES EN LA TABLA TRANSACCIONAL
-- =============================================
CREATE PROCEDURE ERP.Usp_Ins_LogTransaccional
-- Add the parameters for the stored procedure here
@TIPO INT,
@MODULO VARCHAR(250),
@PROCESO VARCHAR(250),
@DESCRIPCION NVARCHAR(1024),
@USUARIO VARCHAR(50)
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
INSERT ERP.LogTransaccional
(
--ID - this column value is auto-generated
tipo,
Modulo,
Proceso,
Descripcion,
usuario,
fecha
)
VALUES
(
-- ID - int
@TIPO, -- tipo - int
@MODULO, -- Modulo - varchar
@PROCESO, -- Proceso - varchar
@DESCRIPCION, -- Descripcion - nvarchar
@USUARIO, -- usuario - varchar
GETDATE()
)
END |
-- Get all SQL Statements with "table scan" in cached query plan
USE BurstingDB;
;WITH
XMLNAMESPACES
(DEFAULT N'http://schemas.microsoft.com/sqlserver/2004/07/showplan'
,N'http://schemas.microsoft.com/sqlserver/2004/07/showplan' AS ShowPlan)
,s AS
(
SELECT TOP 10
s.plan_handle
,SUM(s.execution_count) AS ExecutionCount
,SUM(s.total_worker_time) AS TotalWorkTime
,SUM(s.total_logical_reads) AS TotalLogicalReads
,SUM(s.total_logical_writes) AS TotalLogicalWrites
,SUM(s.total_elapsed_time) AS TotalElapsedTime
,MAX(s.last_execution_time) AS LastExecutionTime
FROM sys.dm_exec_query_stats AS s
GROUP BY s.plan_handle
ORDER BY SUM(s.total_worker_time) DESC
)
SELECT s.[ExecutionCount]
,s.[TotalWorkTime]
,s.[TotalLogicalReads]
,s.[TotalLogicalWrites]
,s.[TotalElapsedTime]
,s.[LastExecutionTime]
,cp.[objtype] AS [ObjectType]
,cp.[cacheobjtype] AS [CacheObjectType]
,DB_NAME(t.[dbid]) AS [DatabaseName]
,OBJECT_NAME(t.[objectid], t.[dbid]) AS [ObjectName]
,t.[text] AS [Statement]
,p.[query_plan] AS [QueryPlan]
FROM sys.dm_exec_cached_plans AS cp
INNER JOIN s ON cp.plan_handle = s.plan_handle
CROSS APPLY sys.dm_exec_sql_text(cp.[plan_handle]) AS t
CROSS APPLY sys.dm_exec_query_plan(cp.[plan_handle]) AS p
WHERE 1=1
--AND p.[query_plan].exist('data(//RelOp[@PhysicalOp="Table Scan"][1])') = 1 /* Index Scan */
AND p.[query_plan].exist('data(//RelOp[@PhysicalOp="Parallelism"][1])') = 1
AND s.[ExecutionCount] > 1
AND cp.[usecounts] > 1
ORDER BY s.[TotalWorkTime] DESC ,s.ExecutionCount DESC; |
create table notice (notice_no varchar2(10), admin_no varchar2(10), title varchar2(100), body varchar2(4000), inputdate date, view_count number);
create table admin (admin_id varchar2(10), password varchar2(500), authority varchar2(7), inputdate date, name varchar2(30), isremoved char(1));
create table member(user_id varchar2(20), password varchar2(30), name varchar2(30), birth varchar2(10), phone varchar2(13), inputdate date, isbanned char(1), isdropped char(1));
create table review_board (re_num varchar2(4), user_id varchar2(20), re_contents varchar2(4000), re_title varchar2(60), re_inputdate date, re_cnt number(4));
create table review_comment(re_num varchar2(4), user_id varchar2(20), com_contents varchar2(150), con_inputdate date);
--drop table notice;
|
select OrderID,
'Status' = case
when OrderID <= 10250 then 'first batch'
else 'late batch'
end
from Orders |
-- add drop table for all your tables if they exist
-- DROP TABLE IF EXISTS table_name CASCADE;
-- add create table for all your tabled
DROP TABLE IF EXISTS applicant CASCADE;
DROP TABLE IF EXISTS application CASCADE;
DROP TABLE IF EXISTS recommendation CASCADE;
DROP TABLE IF EXISTS faculty CASCADE;
DROP TABLE IF EXISTS user CASCADE;
CREATE TABLE user(
username varchar(15) not null,
password varchar(15) not null,
role varchar(15) not null,
uid int auto_increment,
PRIMARY KEY (uid)
);
CREATE TABLE faculty (
first_name varchar(15) not null,
last_name varchar(15) not null,
uid int,
faculty_role varchar(15) not null,
FOREIGN KEY (uid) REFERENCES user(uid)
);
CREATE TABLE applicant(
first_name varchar(15) not null,
last_name varchar(15) not null,
uid int,
app_status varchar(25) not null,
transcript_received varchar(15) not null default 'No',
rec_received varchar(15) not null default 'No',
decision int default 0,
app_rec int,
app_rec_advisor varchar(40),
app_rec_comment varchar(40),
app_deficiency_courses varchar(40),
reason_for_reject varchar(1),
FOREIGN KEY (uid) REFERENCES user(uid)
);
CREATE TABLE recommendation(
rid int auto_increment,
rec_fname varchar(25),
rec_lname varchar(25),
rec_title varchar(25),
rec_letter varchar(4096),
rec_rating int,
rec_generic varchar(1),
rec_credible varchar(1),
uid int,
PRIMARY KEY(rid)
);
CREATE TABLE application(
uid int,
ssn varchar(15),
street varchar(20),
city varchar(15),
state varchar(15),
zip int,
email varchar(25),
app_term varchar(10),
GRE_verbal int,
GRE_quantitative int,
exam_year int,
GRE_score int,
GRE_subject varchar(10),
TOEFL_score int,
TOEFL_year int,
bachelor_school varchar(25),
bachelor_degree varchar(25),
bachelor_major varchar(25),
bachelor_year int,
bachelor_gpa double,
masters_school varchar(25),
masters_degree varchar(25),
masters_major varchar(25),
masters_year int,
masters_gpa double,
area_of_interest varchar(25),
degree_seeking varchar(25),
FOREIGN KEY(uid) REFERENCES user(uid)
);
-- Required pre populated data
INSERT INTO user VALUES('jlennon','54321','student',55555555);
INSERT INTO application VALUES (55555555,'111111111','123 spring st','new york','NY',10002,'abcde@abcde.com','FALL',180,180,2017,200,"physics",100,2018,'GWU','BS','CS',2019,3.0,NULL,NULL,NULL,NULL,NULL,'CS','master');
INSERT INTO applicant VALUES ('John','Lennon',55555555,'completed','Yes','Yes',NULL,NULL,NULL,NULL,NULL,NULL);
INSERT INTO user VALUES('rstarr','54321','student',66666666);
INSERT INTO user (username,password,role) VALUES ('Narahari','12345','faculty');
INSERT INTO faculty VALUES ('Bhagi','Narahari',66666667,'reviewer');
INSERT INTO user (username,password,role) VALUES ('admin','117117','administrator');
INSERT INTO user (username,password,role) VALUES ('secretary','117117','GS');
INSERT INTO user (username,password,role) VALUES ('chair','117117','CAC');
INSERT INTO recommendation VALUES (12345,'Tim','Wood','professor','Rick is a great student',0,NULL,NULL,55555555);
-- Other testing data
INSERT INTO user (username,password,role,uid) VALUES ('rick','12345','student',1);
INSERT INTO user (username,password,role,uid) VALUES ('tom','12345','student',2);
INSERT INTO user (username,password,role,uid) VALUES ('tony','12345','student',3);
INSERT INTO user (username,password,role,uid) VALUES ('alan','12345','faculty',4);
INSERT INTO user (username,password,role,uid) VALUES ('chief','117117','student',5);
INSERT INTO user (username,password,role,uid) VALUES ('kevin','117117','administrator',6);
INSERT INTO faculty VALUES ('alan','turing',4,'reviewer');
INSERT INTO applicant VALUES ('rick','lee',1,'completed','Yes','Yes',NULL,NULL,NULL,NULL,NULL,NULL);
INSERT INTO applicant VALUES ('tom','ford',2,'completed','Yes','Yes',NULL,NULL,NULL,NULL,NULL,NULL);
INSERT INTO applicant VALUES ('tony','allen',3,'pending','Yes','No',NULL,NULL,NULL,NULL,NULL,NULL);
INSERT INTO recommendation VALUES (1,'Tim','Wood','professor','Rick is a great student',0,NULL,NULL,1);
INSERT INTO recommendation VALUES (2,'Tim','Wood','professor','Tom is a great student as well',0,NULL,NULL,2);
INSERT INTO application VALUES (1,'123456789','123 spring st','new york','NY',10002,'abcde@abcde.com','FALL',180,180,2017,180,"physics",100,2018,'GWU','BS','CS',2019,3.0,NULL,NULL,NULL,NULL,NULL,'CS','master');
INSERT INTO application VALUES (2,'123456788','123 summer rd','washington','DC',20016,'abcdef@abcdef.com','FALL',170,170,2018,170,"physics",100,2018,'GWU','BA','CS',2019,4.0,NULL,NULL,NULL,NULL,NULL,'CS','phd');
INSERT INTO application VALUES (3,'123456787','123 fall blvd','miami','FL',30002,'abcdefg@abcdefg.com','FALL',160,160,2018,160,"physics",100,2018,'GWU','BS','MATH',2019,3.5,NULL,NULL,NULL,NULL,NULL,'CS','phd');
|
CREATE TABLE USR.EMAIL
(
ID_EMAIL SERIAL NOT NULL PRIMARY KEY
, ID_PERSON BIGINT NOT NULL REFERENCES USR.PERSON (ID_PERSON)
, EMAIL VARCHAR(70) NOT NULL UNIQUE
, ACTIVE DOM_BOOL
);
CREATE INDEX IDX_ID_PERSON_T_USR_EMAIL ON USR.EMAIL USING BTREE (ID_PERSON);
CREATE INDEX IDX_EMAIL_T_USR_EMAIL ON USR.EMAIL USING BTREE (EMAIL);
CREATE OR REPLACE RULE EMAIL_DELETE AS ON DELETE TO USR.EMAIL DO INSTEAD
UPDATE USR.EMAIL SET ACTIVE = FALSE WHERE ID_EMAIL = OLD.ID_EMAIL; |
ALTER TABLE `assessment` ADD `ga_setallowhash` INT(1) NOT NULL DEFAULT 0; |
CREATE TABLE IF NOT EXISTS hotels
(
hotelid VARCHAR(255) PRIMARY KEY,
city VARCHAR(255),
room VARCHAR(255),
price NUMBER); |
# ************************************************************
# Sequel Pro SQL dump
# Version 3408
#
# http://www.sequelpro.com/
# http://code.google.com/p/sequel-pro/
#
# Host: 127.0.0.1 (MySQL 5.5.25)
# Database: lds-site
# Generation Time: 2013-01-11 07:23:42 +0000
# ************************************************************
/*!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 */;
/*!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 */;
# Dump of table vacations
# ------------------------------------------------------------
DROP TABLE IF EXISTS `vacations`;
CREATE TABLE `vacations` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(11) unsigned NOT NULL,
`day_start` int(2) unsigned NOT NULL,
`month_start` int(2) unsigned NOT NULL,
`day_end` int(2) NOT NULL,
`month_end` int(2) NOT NULL,
`year` int(4) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
LOCK TABLES `vacations` WRITE;
/*!40000 ALTER TABLE `vacations` DISABLE KEYS */;
INSERT INTO `vacations` (`id`, `user_id`, `day_start`, `month_start`, `day_end`, `month_end`, `year`)
VALUES
(13,13,14,2,12,2,2014),
(14,13,2,3,2,4,2014),
(16,13,15,2,12,3,2013),
(17,13,15,4,12,5,2013),
(18,13,7,6,9,7,2015),
(22,12,1,1,14,1,2013);
/*!40000 ALTER TABLE `vacations` ENABLE KEYS */;
UNLOCK TABLES;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
-----------------------------------------------------
--契約情報ビュー----------------------------------------
-----------------------------------------------------
WITH CONTRACT_INFO_CURRENT_CONDTION_VIEW AS (
SELECT *,
--契約状況＝42：転リース決裁済み AND 業務日付＞＝転リース日 THEN 43：転リース済み
CASE WHEN CONTRACT_CONDITION = CAST(/*dto.transferLeaseAlreadySanction*/ AS CHAR(2))
AND /*dto.baseDate*/ >= TRANSFER_LEASE_DATE THEN /*dto.alreadyTransferLease*/
--契約状況＝52：解約決裁済み AND 業務日付＞＝解約日 THEN 53：解約済み
WHEN CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/ AS CHAR(2))
AND /*dto.baseDate*/ >= END_AGREEMENT_DATE THEN /*dto.alreadyCancel*/
--契約状況＜＞42：転リース決裁済 AND 契約状況＜＞52：解約決裁済 AND 業務日付＞＝満了日 THEN 60：満了
WHEN CONTRACT_CONDITION <> CAST(/*dto.transferLeaseAlreadySanction*/ AS CHAR(2))
AND CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/ AS CHAR(2))
AND /*dto.baseDate*/ >= END_DATE THEN /*dto.end*/
--契約状況 END AS 現在契約状況
ELSE CONTRACT_CONDITION END AS CURRENT_CONDTION
FROM CONTRACT_INFO
)
-----------------------------------------------------
-----------------------------------------------------
SELECT TOP(CONVERT(INT, /*topRow*/))
-- 契約情報VIEW．契約番号 -> 合同号
A.CONTRACT_NO,
-- 契約情報VIEW．契約状況 ??? ->合同状况
A.CURRENT_CONDTION,
-- 契約情報VIEW．取引通貨 ->交易币种
A.KEY_CURRENCY_ID,
-- 契約情報VIEW．取得総額 ->物件金额
A.OBTAIN_SUM_TOTAL,
-- 契約情報VIEW．取得総額（不含税） ->物件金额（不含税）
A.OBTAIN_SUM_TOTAL_NO_VAT,
-- 契約情報VIEW．回収総額 ->租金总额
A.WITHDRAW_SUM_TOTAL,
-- 契約情報VIEW．回収総額（不含税） ->租金总额（不含税）
A.WITHDRAW_SUM_TOTAL_NO_VAT,
-- 契約情報VIEW．検収日 ->验收日
A.ACCEPTANCE_CHECK_DATE,
-- 契約情報VIEW．契約期間 ->租赁期
A.CONTRACT_PERIOD,
-- 契約情報VIEW．担当者 ->经办人
A.CHARGER_NAME,
-- 契約情報VIEW．代表物件名 ->代表物件名
A.REPRESENTATION_SUPPLIES_NAME,
-- 契約情報VIEW．表面金利 ->表面利率
A.SURFACE_RATE,
-- 契約情報VIEW．取引形態 ->案件属性
A.TRADE_MORPHOLOGY,
-- 契約情報VIEW．満了日 ->租赁期满日
A.END_DATE,
-- 取引先マスタ．取引先名略称 ->承租人名
SUB_CUST.CUSTOMER_ABBR_NAME,
-- 多语言名称master．评分等级名称 ->承租人信用等级名称
SUB_CUST.ITEM_NAME,
-- 業種マスタ．業種名称 ->行业分类
SUB_CUST.TYPE_OF_INDUSTRY_NM,
-- 拠点マスタ．拠点名 -> 分公司
B.BRANCH_NAME,
-- 债权滞纳信息虚拟表．延滞発生日 -> 逾期开始年月
SUB_TEMP1.OVERDUE_PAYMENT_DATE AS OVERDUE_WITHDRAW_SCHEDULE_DATE,
-- 债权滞纳信息虚拟表．延滞回数 -> 当前逾期次数
SUB_TEMP1.NUMBEROF_OVERDUE_PAYMENT AS OVERDUE_COUPON,
-- 债权滞纳信息虚拟表．延滞天数 -> 逾期天数
SUB_TEMP1.OVERDUE_PAYMENT_DAYS AS OVERDUE_DAYS,
-- 债权滞纳信息虚拟表．逾期金额 -> 逾期租金（含税）
SUB_TEMP1.OVERDUE_AMOUNT,
-- 债权滞纳信息虚拟表．逾期金额（不含税） -> 逾期租金（不含税）
SUB_TEMP1.OVERDUE_AMOUNT_NO_VAT,
-- 债权滞纳信息虚拟表．分类名称 -> 内部债权分类
SUB_TEMP1.CLASSIFICATION_NAME,
-- 债权滞纳信息虚拟表．对应国标分类名称 -> 国标5级分类
SUB_TEMP1.GB_CLASSIFICATION_NAME,
-- 未收租金虚拟表．未收租金 -> 剩余租金（不含首付）（含税）
SUB_TEMP2.UNEARNED_LEASE_CREDITS_AMOUNT,
-- 未收租金虚拟表．未收租金（不含税） -> 剩余租金（不含首付）（不含税）
SUB_TEMP2.UNEARNED_LEASE_CREDITS_AMOUNT_NO_VAT
FROM CONTRACT_INFO_CURRENT_CONDTION_VIEW A -- 契約情報VIEW
LEFT JOIN
( SELECT
CUST.CUSTOMER_CODE AS CUSTOMER_CODE,-- 取引先コード
CUST.CUSTOMER_FLG AS CUSTOMER_FLG,-- 顧客フラグ
CUST.DELETE_FLG AS DELETE_FLG,-- 削除フラグ
CUST.CUSTOMER_ABBR_NAME AS CUSTOMER_ABBR_NAME,-- 取引先名略称
-- 取引先マスタ１．格付名称 ???
INDU.TYPE_OF_INDUSTRY_NM AS TYPE_OF_INDUSTRY_NM, -- 業種名称
MULT.ITEM_NAME AS ITEM_NAME -- 多语言名称master．评分等级名称
FROM CUSTOMER_MST CUST --取引先マスタ
-- 多语言名称master
LEFT JOIN MULTILANGUAGE_NAME_MST MULT ON
-- 取引先マスタ．格付定義履歴番号 ＝ 多语言名称master．履历号（+） AND
CUST.SYNTHETIC_RANKING_CODE_SEQ_NO = MULT.SEQ_NO AND
-- 取引先マスタ．格付 ＝ 多语言名称master．评分科目/风险等级代码（+） AND
CUST.RANKING = MULT.ITEM_CODE AND
-- 多语言名称master． 国家代码 = 参数：国ID
MULT.COUNTRY_KBN = /*dto.countryId*/''
-- 業種マスタ
LEFT JOIN INDUSTRY_MST INDU ON
-- 取引先マスタ．業種コード＝業種マスタ．業種コード
CUST.TYPE_OF_INDUSTRY_CODE = INDU.TYPE_OF_INDUSTRY_CD
) SUB_CUST ON
-- 取引先マスタ．取引先コード（＋）＝契約情報VIEW．顧客＿取引先コード AND
SUB_CUST.CUSTOMER_CODE = A.CUSTOMER_CODE AND
-- 取引先マスタ．顧客フラグ＝１ AND
SUB_CUST.CUSTOMER_FLG = /*dto.customerFlag*/'' AND
-- 取引先マスタ．削除フラグ＝0 AND
SUB_CUST.DELETE_FLG = /*dto.deleteNo*/''
-- left join 拠点マスタ on
LEFT JOIN BRANCH_MST B ON
-- 契約情報VIEW．拠点コード = 拠点マスタ．拠点コード（＋）
A.CHARGE_AGENCY = B.BRANCH_CODE AND
-- 拠点マスタ．国ＩＤ ＝ 参数．国ＩＤ
B.COUNTRY_ID = /*dto.countryId*/''
-- left join 债权滞纳信息虚拟表 on
LEFT JOIN
----------------------------------------债权滞纳信息虚拟表(SUB_TEMP1)---------------------------
---------------------------------------------------------------------------------------------
(
----------------------------------------债权滞纳信息虚拟表(SUB_TEMP1)---start------------------------
---------------------------------------------------------------------------------------------
SELECT F.CONTRACT_NO,
ISNULL(F.OVERDUE_AMOUNT,0) AS OVERDUE_AMOUNT,
ISNULL(F.OVERDUE_AMOUNT_NO_VAT,0) AS OVERDUE_AMOUNT_NO_VAT,
F.OVERDUE_PAYMENT_DATE,
F.NUMBEROF_OVERDUE_PAYMENT,
ISNULL(F.OVERDUE_PAYMENT_DAYS,0) AS OVERDUE_PAYMENT_DAYS,
--内部分类代码
D.CLASSIFICATION_CODE,
--内部分类名称
CASE WHEN /*dto.countryId*/''= /*dto.countryIdChina*/ THEN
D.CLASSIFICATION_STRING1
ELSE
CASE WHEN /*dto.countryId*/'' = /*dto.countryIdIapan*/ THEN
D.CLASSIFICATION_STRING2
ELSE
CASE WHEN /*dto.countryId*/''= /*dto.countryIdEn*/ THEN
D.CLASSIFICATION_STRING3
END
END
END AS CLASSIFICATION_NAME,
--对应国标分类代码
D.GB_CLASSIFICATION_CODE,
--对应国标分类名称
E.CODE_NAME AS GB_CLASSIFICATION_NAME
FROM (
SELECT
--契約番号
SUB_TEMP1_A.CONTRACT_NO,
--逾期金额
SUM(ISNULL(SUB_TEMP1_B.WITHDRAW_SCHEDULE_AMOUNT,0)-ISNULL(SUB_TEMP1_C.WITHDRAW_RESULT_AMOUNT,0)) AS OVERDUE_AMOUNT,
-- 逾期金额（税抜）
SUM(ISNULL(SUB_TEMP1_B.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,0)-ISNULL(SUB_TEMP1_C.WITHDRAW_RESULT_AMOUNT_NO_VAT,0)) AS OVERDUE_AMOUNT_NO_VAT,
--延滞発生日
MIN(SUB_TEMP1_B.WITHDRAW_SCHEDULE_DATE) AS OVERDUE_PAYMENT_DATE,
--延滞回数
COUNT(SUB_TEMP1_B.CONTRACT_NO) AS NUMBEROF_OVERDUE_PAYMENT,
--延滞日数
ISNULL(DATEDIFF(DAY,MIN(SUB_TEMP1_B.WITHDRAW_SCHEDULE_DATE),CONVERT(varchar(10),/*dto.baseDate*/,120)),0) AS OVERDUE_PAYMENT_DAYS
FROM CONTRACT_INFO AS SUB_TEMP1_A
LEFT JOIN REQUST_WITHDRAW_INFO SUB_TEMP1_B
ON SUB_TEMP1_A.CONTRACT_NO = SUB_TEMP1_B.CONTRACT_NO
AND SUB_TEMP1_B.WITHDRAW_SCHEDULE_DATE < CONVERT(varchar(10),/*dto.baseDate*/,120)
AND (
SUB_TEMP1_B.WITHDRAW_STATUS <> CAST(/*dto.withdrawed*/ AS CHAR(1))
OR CONVERT(DATE,SUB_TEMP1_B.WITHDRAW_RESULT_DATE) > CONVERT(varchar(10),/*dto.baseDate*/,120)
)AND SUB_TEMP1_B.UN_WITHDRAW_FLG = CAST(/*dto.unWithdrawFlgOff*/ AS CHAR(1))
LEFT JOIN
(SELECT
--契約番号
NEGA.CONTRACT_NO,
--回数
NEGA.COUPON,
--回收实绩额
SUM(ISNULL(NEGA.TRANSFER_AMOUNT,0)) AS WITHDRAW_RESULT_AMOUNT,
-- 回收实绩额（税抜）
SUM(PRINCIPAL_RESULT_AMOUNT+INTEREST_RESULT_AMOUNT) AS WITHDRAW_RESULT_AMOUNT_NO_VAT
FROM NEGATION_HISTORY_DETAIL_INFO NEGA-- 消込履歴詳細
WHERE NEGA.NEGATION_FAIL_FLG = /*dto.negationFailFlgOff*/
AND NEGA.WITHDRAW_RESULT_DATE <= CONVERT(varchar(10),/*dto.baseDate*/,120)
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/
AND NEGA.TRANSFER_RESULT_FLG = /*dto.receiptResultFlgSucc*/
GROUP BY NEGA.CONTRACT_NO,NEGA.COUPON
) AS SUB_TEMP1_C(CONTRACT_NO,COUPON,WITHDRAW_RESULT_AMOUNT,WITHDRAW_RESULT_AMOUNT_NO_VAT)
ON SUB_TEMP1_B.CONTRACT_NO = SUB_TEMP1_C.CONTRACT_NO
AND SUB_TEMP1_B.COUPON = SUB_TEMP1_C.COUPON
WHERE
--取消状況
SUB_TEMP1_A.CANCAL_STATE = CAST(/*dto.cancalStateNotCancel*/ AS CHAR(1))
AND SUB_TEMP1_A.CONTRACT_CONDITION >= CAST(/*dto.alreadyAcceptanceCheck*/ AS CHAR(2))
GROUP BY SUB_TEMP1_A.CONTRACT_NO
) F
--内部债权分类定义M(D)
LEFT JOIN CRC_CLASSIFICATION_MASTER D
ON D.INDICATOR_VALUE_FROM <= ISNULL(F.OVERDUE_PAYMENT_DAYS,0)
AND D.INDICATOR_VALUE_TO >= ISNULL(F.OVERDUE_PAYMENT_DAYS,0)
AND D.CLASSIFICATION_VALIDTIME =
(SELECT MAX(CLASSIFICATION_VALIDTIME) FROM CRC_CLASSIFICATION_MASTER)
--CodeMaster(E)
LEFT JOIN CODE_MASTER E
ON E.CODE_TYPE = CAST(/*dto.gbClassificationCode*/ AS CHAR(3))
AND E.COUNTRY_ID = /*dto.countryId*/''
AND D.GB_CLASSIFICATION_CODE = E.CODE_ID
--ORDER BY F.CONTRACT_NO ASC
----------------------------------------债权滞纳信息虚拟表(SUB_TEMP1)---end------------------------
---------------------------------------------------------------------------------------------
)SUB_TEMP1 ON -- 债权滞纳信息虚拟表
-- 债权滞纳信息虚拟表．合同号 ＝ 契約情報VIEW．契約番号
SUB_TEMP1.CONTRACT_NO = A.CONTRACT_NO
-- left join 未收租金虚拟表 on
LEFT JOIN
-- wangxuejun redmine #2312 【5级分类】债权分类一览表(剩余租金值修改) 2015/03/19 update start
----------------------------------------未收租金虚拟表(SUB_TEMP2)---------------------------
---------------------------------------------------------------------------------------------
( SELECT
-- SUM(B.回収予定額 - B.回収実績額) AS 未收租金
SUM(ISNULL(SUB_TEMP2_B.WITHDRAW_SCHEDULE_AMOUNT,0) - ISNULL(SUB_TEMP2_B.WITHDRAW_RESULT_AMOUNT,0)) AS UNEARNED_LEASE_CREDITS_AMOUNT,
-- SUM(B.回収予定額（税抜） - B.元本回収実績額 - B.利息回収実績額） AS 未收租金（税抜）
SUM(ISNULL(SUB_TEMP2_B.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,0) - ISNULL(SUB_TEMP2_B.PRINCIPAL_RESULT_AMOUNT,0) - ISNULL(SUB_TEMP2_B.INTEREST_RESULT_AMOUNT,0)) AS UNEARNED_LEASE_CREDITS_AMOUNT_NO_VAT,
-- Ａ.契約番号 AS 契约番号
SUB_TEMP2_A.CONTRACT_NO AS CONTRACT_NO
FROM CONTRACT_INFO SUB_TEMP2_A -- 契約情報(A)
--REQUST_WITHDRAW_INFO SUB_TEMP2_B -- 請求回収情報(B)
LEFT JOIN REQUST_WITHDRAW_INFO SUB_TEMP2_B -- 請求回収情報(B)
ON
-- 契約情報．契約番号 ＝ 請求回収情報．契約番号
SUB_TEMP2_A.CONTRACT_NO = SUB_TEMP2_B.CONTRACT_NO AND
-- 請求回収情報．回収不要フラグ = OFF
SUB_TEMP2_B.UN_WITHDRAW_FLG = /*dto.unWithdrawFlgOff*/''
WHERE
-- 契約情報．取消状況 <> 2：取消済
SUB_TEMP2_A.CANCAL_STATE <> /*dto.cancalStateCanceled*/'' AND
-- 契約情報．契约状态 >= 已验收
SUB_TEMP2_A.CONTRACT_CONDITION >= /*dto.alreadyAcceptanceCheck*/'' AND
-- 請求回収情報．回収ステータス <> 回収済
SUB_TEMP2_B.WITHDRAW_STATUS <> /*dto.withdrawed*/''
GROUP BY SUB_TEMP2_A.CONTRACT_NO
--ORDER BY SUB_TEMP2_A.CONTRACT_NO ASC
) SUB_TEMP2 ON --未收租金虚拟表
-- 债未收租金虚拟表．合同号 ＝ 契約情報VIEW．契約番号
SUB_TEMP2.CONTRACT_NO = A.CONTRACT_NO
-- wangxuejun redmine #2312 【5级分类】债权分类一览表(剩余租金值修改) 2015/03/19 update end
WHERE
A.CHARGE_AGENCY = /*dto.branchSearch*/'' AND
-- 契約情報．契约状态 >= 已验收
A.CONTRACT_CONDITION >= /*dto.alreadyAcceptanceCheck*/'' AND
-- 契約情報．取消状況 = 1：取消未済 ???
A.CANCAL_STATE = /*dto.cancalStateNotCancel*/''
ORDER BY A.CONTRACT_NO ASC
|
SELECT
d.year AS year,
count(*) AS value
FROM authorship a
JOIN document d ON a.document = d.id
JOIN sourcetype st ON d."sourceType" = st.key
WHERE a."researchEntity" = $1
AND d.type = 'invited_talk'
AND st.section = $2
GROUP BY d.year |
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1:3306
-- Tempo de geração: 02-Fev-2021 às 19:43
-- Versão do servidor: 5.7.31
-- versão do PHP: 7.3.21
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Banco de dados: `fullstrack`
--
-- --------------------------------------------------------
--
-- Estrutura da tabela `comentarios`
--
DROP TABLE IF EXISTS `comentarios`;
CREATE TABLE IF NOT EXISTS `comentarios` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`nome` varchar(100) DEFAULT NULL,
`msg` varchar(300) DEFAULT NULL,
`data` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=23 DEFAULT CHARSET=latin1;
--
-- Extraindo dados da tabela `comentarios`
--
INSERT INTO `comentarios` (`id`, `nome`, `msg`, `data`) VALUES
(1, 'wellington', 'teste novo banco de dados', '2020-11-04 23:49:54'),
(2, 'Teste', 'sasa', '2020-11-05 01:03:40'),
(3, 'Teste', 'sasa', '2020-11-05 01:05:18'),
(4, 'Teste', '', '2020-11-25 20:23:01'),
(5, 'teste', 'Oi', '2020-11-25 20:23:10'),
(6, 'Wellington', '', '2020-11-26 19:58:23'),
(7, 'Wellington', 'shaushauhsuahsuhaushuah', '2020-11-26 19:59:04'),
(8, 'josé', 'Olá', '2020-11-26 19:59:47'),
(9, 'Meu celular', 'sad', '2020-12-03 05:55:15'),
(10, 'tttrtr', 'rwrwr', '2020-12-05 13:46:57'),
(11, 'dada', 'sadad', '2020-12-06 16:18:20'),
(12, 'Teste', 'hoje', '2020-12-09 22:59:17'),
(13, '', '', '2020-12-09 23:07:34'),
(14, 'Cassio', 'Teste de post', '2021-02-02 15:32:56'),
(15, NULL, NULL, '2021-02-02 15:36:13'),
(16, NULL, NULL, '2021-02-02 15:37:49'),
(17, 'wellington', 'sasa', '2021-02-02 16:08:59'),
(18, 'Teste', 'Teste de post node', '2021-02-02 16:09:43'),
(19, 'wellington barbosa ferreira', '15485', '2021-02-02 16:10:27'),
(20, 'wellington barbosa ferreira', '15485', '2021-02-02 16:10:51'),
(21, 'Carlos', 'Teste de post node', '2021-02-02 16:11:18'),
(22, 'Joice', 'Olá', '2021-02-02 16:18:04');
-- --------------------------------------------------------
--
-- Estrutura da tabela `pedidos`
--
DROP TABLE IF EXISTS `pedidos`;
CREATE TABLE IF NOT EXISTS `pedidos` (
`nome_cliente` varchar(70) NOT NULL,
`endereco` varchar(150) DEFAULT NULL,
`telefone` int(11) DEFAULT NULL,
`nome_produto` varchar(50) DEFAULT NULL,
`valor_uni` int(11) DEFAULT NULL,
`quantidade` int(11) DEFAULT NULL,
`valor_total` int(11) DEFAULT NULL,
`id_pedidos` varchar(45) NOT NULL,
PRIMARY KEY (`id_pedidos`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Estrutura da tabela `produto`
--
DROP TABLE IF EXISTS `produto`;
CREATE TABLE IF NOT EXISTS `produto` (
`id_produto` int(11) NOT NULL AUTO_INCREMENT,
`categoria` varchar(30) DEFAULT NULL,
`descricao` varchar(150) DEFAULT NULL,
`preco` decimal(8,2) DEFAULT NULL,
`precofinal` decimal(8,2) DEFAULT NULL,
`imagem` varchar(100) DEFAULT NULL,
PRIMARY KEY (`id_produto`)
) ENGINE=MyISAM AUTO_INCREMENT=10 DEFAULT CHARSET=latin1;
--
-- Extraindo dados da tabela `produto`
--
INSERT INTO `produto` (`id_produto`, `categoria`, `descricao`, `preco`, `precofinal`, `imagem`) VALUES
(1, 'stratocaster', 'Guitarra Tagima TG-530 Woodstock', '1399.90', '1099.90', 'strato01.jpg'),
(2, 'stratocaster', 'Guitarra Stratocaster Strinberg STS-100 MWR', '899.90', '750.90', 'strato02.webp'),
(3, 'stratocaster', 'Guitarra Stratocaster Fender Squier Classic Vibe 70\'s LR - Natural', '4399.00', '3999.90', 'strato01.jpg'),
(4, 'lespaul', 'Les Paul Strinberg LPS-200', '1099.90', '999.00', 'les01.webp'),
(5, 'lespaul', 'Les Paul Epiphone Special VE', '2399.90', '2199.90', 'les02.jpg'),
(6, 'lespaul', 'Jackson Monarkh JS22 585', '3899.90', '3599.90', 'les03.jpg'),
(7, 'telecaster', 'Guitarra Telecaster Vintage Icon Series V52MR American Alder - Butterscotch', '3899.90', '3599.90', 'tele01.webp'),
(8, 'flying', 'Flying V Strinberg CLG 45', '1899.00', '1799.00', 'fly01.jpg'),
(9, 'flying', 'Fly V', '249.99', '199.99', 'fly02.jpg');
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 */;
|
/* Formatted on 21/07/2014 18:40:41 (QP5 v5.227.12220.39754) */
CREATE OR REPLACE FORCE VIEW MCRE_OWN.V_MCREI_APP_RAPP_COLLEGATI_HST
(
COD_SNDG,
COD_SNDG_LEGAME,
DESC_NOME_SNDG_LEGAME,
COD_ABI,
COD_NDG,
COD_UO_RAPPORTO,
COD_RAPPORTO,
COD_FORMA_TECNICA,
DESC_FTECNICA,
COD_NATURA,
DESC_NATURA,
COD_TIPO_RAPPORTO,
VAL_ACCORDATO_DELIB,
VAL_IMP_UTILIZZATO,
COD_RAPPORTO_ATTR,
COD_TIPO_FIDO,
COD_CLASSE_FT,
COD_TIPO_LEGAME,
VAL_INTERESSI_MORA,
VAL_UTI_QC
)
AS
SELECT "COD_SNDG",
"COD_SNDG_LEGAME",
"DESC_NOME_SNDG_LEGAME",
"COD_ABI",
"COD_NDG",
"COD_UO_RAPPORTO",
"COD_RAPPORTO",
"COD_FORMA_TECNICA",
"DESC_FTECNICA",
"COD_NATURA",
"DESC_NATURA",
"COD_TIPO_RAPPORTO",
"VAL_ACCORDATO_DELIB",
"VAL_IMP_UTILIZZATO",
"COD_RAPPORTO_ATTR",
"COD_TIPO_FIDO",
"COD_CLASSE_FT",
"COD_TIPO_LEGAME",
"VAL_INTERESSI_MORA",
"VAL_UTI_QC"
FROM V_MCREI_APP_RAPPORTI_COLLEGATI;
|
-- MySQL dump 10.13 Distrib 5.7.18, for osx10.11 (x86_64)
--
-- Host: localhost Database: feedback-tool
-- ------------------------------------------------------
-- Server version 5.7.18
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
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/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `access`
--
DROP TABLE IF EXISTS `access`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `access` (
`create_timestamp` datetime DEFAULT NULL,
`user_email` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `flags`
--
DROP TABLE IF EXISTS `flags`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `flags` (
`create_timestamp` datetime DEFAULT NULL,
`uuid` varchar(255) DEFAULT NULL,
`last_user` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `papertrail`
--
DROP TABLE IF EXISTS `papertrail`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `papertrail` (
`create_timestamp` datetime DEFAULT NULL,
`uuid` varchar(255) DEFAULT NULL,
`last_user` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `responses`
--
DROP TABLE IF EXISTS `responses`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `responses` (
`create_timestamp` datetime DEFAULT NULL,
`update_timestamp` datetime DEFAULT NULL,
`uuid` varchar(255) DEFAULT NULL,
`feedback_uuid` varchar(255) DEFAULT NULL,
`last_user` varchar(255) DEFAULT NULL,
`response` varchar(15000) DEFAULT NULL,
`reviewer` varchar(255) DEFAULT NULL,
`reviewer2` varchar(255) DEFAULT NULL,
`notes` varchar(255) DEFAULT NULL,
`reviewed` int(11) DEFAULT NULL,
`correct` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `roster`
--
DROP TABLE IF EXISTS `roster`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `roster` (
`user_email` varchar(255) DEFAULT NULL,
`tl_email` varchar(255) DEFAULT NULL,
`manager_email` varchar(255) DEFAULT NULL,
`cohort` varchar(255) DEFAULT NULL,
`shift_start` varchar(255) DEFAULT NULL,
`shift_end` varchar(255) DEFAULT NULL,
`shift_days` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `submissions`
--
DROP TABLE IF EXISTS `submissions`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `submissions` (
`create_timestamp` datetime DEFAULT NULL,
`update_timestamp` datetime DEFAULT NULL,
`uuid` varchar(255) DEFAULT NULL,
`feedback` varchar(15000) DEFAULT NULL,
`queue` varchar(255) DEFAULT NULL,
`moderator` varchar(255) DEFAULT NULL,
`last_user` varchar(255) DEFAULT NULL,
`level` varchar(255) DEFAULT NULL,
`status_l2` varchar(255) DEFAULT NULL,
`status_l3` varchar(255) DEFAULT NULL,
`status_l4` varchar(255) DEFAULT NULL,
`assignee` varchar(255) DEFAULT NULL,
`inquisitor` varchar(255) DEFAULT NULL,
`verified` varchar(255) DEFAULT NULL,
`claimed` varchar(255) DEFAULT NULL,
`deescalated` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `upvotes`
--
DROP TABLE IF EXISTS `upvotes`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `upvotes` (
`create_timestamp` varchar(255) DEFAULT NULL,
`uuid` varchar(255) DEFAULT NULL,
`last_user` varchar(255) DEFAULT NULL,
`association` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
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/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2017-12-30 14:52:27
|
UPDATE online_statistics SET statistics = statistics - 'influence';
|
-- --------------------------------------------------------
-- Host: S930A3546
-- Server Version: 10.2.7-MariaDB - mariadb.org binary distribution
-- Server Betriebssystem: Win64
-- HeidiSQL Version: 9.4.0.5174
-- --------------------------------------------------------
/*!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' */;
-- Exportiere Struktur von Tabelle trading_master.positions
CREATE TABLE IF NOT EXISTS `positions` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`amount` decimal(25,10) DEFAULT NULL,
`bot_id` int(11) NOT NULL,
`buy_date` datetime DEFAULT NULL,
`buy_fee` decimal(25,10) DEFAULT NULL,
`buy_rate` decimal(25,10) DEFAULT NULL,
`buy_signal_id` int(11) NOT NULL,
`closed` bit(1) NOT NULL,
`created` datetime NOT NULL,
`error` bit(1) NOT NULL,
`error_msg` varchar(255) DEFAULT NULL,
`ext_sell_order_id` varchar(255) DEFAULT NULL,
`extbuy_order_id` varchar(255) DEFAULT NULL,
`market` varchar(255) NOT NULL,
`result` decimal(25,10) DEFAULT NULL,
`sell_date` datetime DEFAULT NULL,
`sell_fee` decimal(25,10) DEFAULT NULL,
`sell_rate` decimal(25,10) DEFAULT NULL,
`signal_rate` decimal(25,10) NOT NULL,
`status` varchar(255) NOT NULL,
`total` decimal(25,10) DEFAULT NULL,
`total_buy` decimal(25,10) DEFAULT NULL,
`total_sell` decimal(25,10) DEFAULT NULL,
`sell_in_pogress` bit(1) NOT NULL,
`trailing_stop_loss` decimal(19,2) DEFAULT NULL,
`max_result` decimal(25,10) DEFAULT NULL,
`min_result` decimal(25,10) DEFAULT NULL,
`age` varchar(255) DEFAULT NULL,
`last_know_base_currency_value` decimal(25,10) DEFAULT NULL,
`last_know_rate` decimal(25,10) DEFAULT NULL,
`last_update` datetime DEFAULT NULL,
`settings` text DEFAULT NULL,
`test` text DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=55 DEFAULT CHARSET=latin1;
-- Exportiere Daten aus Tabelle trading_master.positions: ~2 rows (ungefähr)
/*!40000 ALTER TABLE `positions` DISABLE KEYS */;
INSERT INTO `positions` (`id`, `amount`, `bot_id`, `buy_date`, `buy_fee`, `buy_rate`, `buy_signal_id`, `closed`, `created`, `error`, `error_msg`, `ext_sell_order_id`, `extbuy_order_id`, `market`, `result`, `sell_date`, `sell_fee`, `sell_rate`, `signal_rate`, `status`, `total`, `total_buy`, `total_sell`, `sell_in_pogress`, `trailing_stop_loss`, `max_result`, `min_result`, `age`, `last_know_base_currency_value`, `last_know_rate`, `last_update`, `settings`, `test`) VALUES
(1, 8.6377950400, 2, '2018-01-22 19:24:37', 0.0000014900, 0.0000692700, 3, b'1', '2018-01-22 13:22:44', b'0', NULL, NULL, '895ade1f-640d-4a33-a2e8-4456bb5317ca', 'BTC-MAID', -13.0648188200, NULL, NULL, NULL, 0.0000685400, 'open', NULL, NULL, NULL, b'0', NULL, -7.0160242500, -16.7027573300, '7 Days', 0.0005201680, 0.0000602200, '2018-01-29 16:34:26', '{"stopLoss":{"enabled":false,"value":5}}', NULL),
(2, 10.3664410900, 2, '2018-01-21 16:00:00', 0.0000018700, 0.0000723900, 2, b'0', '2018-01-22 12:22:44', b'0', NULL, NULL, '0fb19f09-beb5-483a-ab2d-a1cd0178e8a4', 'BTC-RISE', -14.2699267900, NULL, NULL, NULL, 0.0000000000, 'open', NULL, NULL, NULL, b'0', NULL, 1.8096422200, -14.8363033600, '8 Days', 0.0006433413, 0.0000620600, '2018-01-30 15:42:55', NULL, NULL);
/*!40000 ALTER TABLE `positions` 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 */;
|
create table CMEFrontMatter (
id serial,
provider integer not null references CMEProvider(id) on delete cascade,
evaluation integer references Inquisition(id) on delete set null,
enabled boolean not null default true,
objectives text,
planning_committee_no_disclosures text,
planning_committee_with_disclosures text,
support_staff_no_disclosures text,
support_staff_with_disclosures text,
review_date timestamp,
primary key(id)
);
create index CMEFrontMatter_provider_index on CMEFrontMatter(provider);
|
/*
Empresa : EGCC
Software : Sistema Financiero de un Colegio
DBMS : MySQL Server
Base de Datos : BDCOLEGIO
Script : Crea la Base de Datos
Responsable : Ing. Eric Gustavo Coronel Castillo
Telefono : (511) 9966-64457
Email : gcoronelc@gmail.com
Sitio Web : http://www.desarrollasoftware.com
Blog : http://gcoronelc.blogspot.com
*/
-- base de datos
DROP DATABASE IF EXISTS BDCOLEGIO;
create database BDCOLEGIO;
use BDCOLEGIO;
SET NAMES 'utf8';
-- Esquema: Seguridad
create table empleado(
idempleado int not null auto_increment,
apellido varchar(60) not null,
nombre varchar(60) not null,
email varchar(60) not null,
telefono varchar(20) not null,
constraint pk_empleado primary key(idempleado)
) engine = innodb;
insert into empleado(idempleado,apellido,nombre,
email,telefono) values
(1,'A','B','C','D'),
(2,'A','B','C','D'),
(3,'A','B','C','D'),
(4,'A','B','C','D'),
(5,'A','B','C','D');
create table rol(
idrol int not null,
nombre varchar(30) not null,
constraint pk_rol primary key(idrol)
) engine = innodb;
insert into rol(idrol, nombre) values
(1,'Administrador'),
(2,'Coordinador'),
(3,'Operador'),
(4,'Usuario');
create table usuario(
idempleado int not null,
idrol int not null,
usuario varchar(20) not null,
clave varchar(60) not null,
estado int not null check( estado in (0,1) ),
constraint pk_usuario primary key(idempleado),
foreign key fk_usuario_empleado(idempleado)
references empleado( idempleado ),
foreign key fk_usuario_rol(idrol)
references rol( idrol )
) engine = innodb;
insert into usuario(idempleado,idrol,usuario,
clave, estado) values
(1,1,'gustavo',SHA('gustavo'),1),
(2,3,'claudia',SHA('clauida'),1),
(3,2,'ricardo',SHA('ricardo'),1),
(4,3,'karla',SHA('karla'),0);
-- Esquema: Programacion
create table nivel(
idnivel int not null,
nombre varchar(40) not null,
constraint pk_nivel primary key(idnivel)
) engine = innodb;
create table grado(
idgrado int not null,
idnivel int not null,
nombre varchar(40) not null,
constraint pk_grado primary key(idgrado),
constraint fk_grado_nivel
foreign key(idnivel)
references nivel(idnivel)
) engine = innodb;
insert into nivel(idnivel, nombre) values
(1,'NIVEL PRIMARIA'),
(2,'NIVEL SECUNDARIA');
insert into grado(idgrado,idnivel,nombre) values
(1,1,'PRIMARIA - 1ER GRADO'),
(2,1,'PRIMARIA - 2DO GRADO'),
(3,1,'PRIMARIA - 3ER GRADO'),
(4,1,'PRIMARIA - 4TO GRADO'),
(5,1,'PRIMARIA - 5TO GRADO'),
(6,1,'PRIMARIA - 6TO GRADO'),
(7,2,'SECUNDARIA - 1ER GRADO'),
(8,2,'SECUNDARIA - 2DO GRADO'),
(9,2,'SECUNDARIA - 3ER GRADO'),
(10,2,'SECUNDARIA - 4TO GRADO'),
(11,2,'SECUNDARIA - 5TO GRADO');
create table periodo(
anio int not null,
estado int not null check( estado in (0,1) ),
cingreso numeric(10,2) not null,
cmatricula numeric(10,2) not null,
cmensual numeric(10,2) not null,
cmora numeric(10,2) not null,
pdcto numeric(10,2) not null,
primary key pk_periodo( anio )
) engine = innodb;
insert into periodo(anio,estado,cingreso,
cmatricula,cmensual,cmora,pdcto) values
(2017,0,2000.0,800.0,800.0,1.0,0.07),
(2018,1,2500.0,850.0,860.0,1.0,0.08);
create table seccion(
idseccion int not null auto_increment,
anio int not null,
idgrado int not null,
nombre varchar(40) not null,
vacantes int not null,
inscritos int not null,
estado int not null check( estado in (0,1) ),
idempleado int not null,
primary key pk_seccion(idseccion),
foreign key fk_seccion_periodo(anio)
references periodo(anio),
foreign key fk_seccion_grado(idgrado)
references grado(idgrado)
) engine = innodb;
-- Periodo: Primaria 2017
insert into seccion(idseccion,anio,idgrado,
nombre,vacantes,inscritos,estado,idempleado) values
(1,2017,1,'A',20,15,1,1),
(2,2017,2,'B',20,16,1,1),
(3,2017,3,'C',20,13,1,1),
(4,2017,4,'D',20,16,1,1),
(5,2017,5,'E',20,12,1,1),
(6,2017,6,'F',20,16,1,1);
-- Periodo: Primaria 2018
insert into seccion(idseccion,anio,idgrado,
nombre,vacantes,inscritos,estado,idempleado) values
(12,2018,1,'A',20,0,1,1),
(13,2018,2,'B',20,0,1,1),
(14,2018,3,'C',20,0,1,1),
(15,2018,4,'D',20,0,1,1),
(16,2018,5,'E',20,0,1,1),
(17,2018,6,'F',20,0,1,1);
-- Esquema: Matricula
create table estudiante(
) engine = innodb;
create table estudiante(
) engine = matricula;
-- Esquema: Finanzas
create table tobligacion(
) engine = innodb;
create table obligacion(
) engine = matricula;
create table pago(
) engine = matricula;
|
-- phpMyAdmin SQL Dump
-- version 4.9.0.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 14, 2020 at 04:23 AM
-- Server version: 10.4.6-MariaDB
-- PHP Version: 7.3.8
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: `books_db`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin_login`
--
CREATE TABLE `admin_login` (
`User_id` int(11) NOT NULL,
`username` varchar(20) NOT NULL,
`password` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `admin_login`
--
INSERT INTO `admin_login` (`User_id`, `username`, `password`) VALUES
(1, 'p', '1');
-- --------------------------------------------------------
--
-- Table structure for table `book_signup`
--
CREATE TABLE `book_signup` (
`Post_id` int(11) NOT NULL,
`First_name` varchar(40) NOT NULL,
`Last_name` varchar(40) NOT NULL,
`Email` varchar(50) NOT NULL,
`Phone_no` bigint(20) NOT NULL,
`description` varchar(50) NOT NULL,
`image` varchar(100) NOT NULL,
`Date_and_Time` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
`book_type` varchar(40) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `book_signup`
--
INSERT INTO `book_signup` (`Post_id`, `First_name`, `Last_name`, `Email`, `Phone_no`, `description`, `image`, `Date_and_Time`, `book_type`) VALUES
(78, 'p', 'v', 'p@gmail.com', 2323, 'vfrfb', 'devil_may_cry.jpg', '2020-01-12 16:39:37', 'Fiction');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `admin_login`
--
ALTER TABLE `admin_login`
ADD PRIMARY KEY (`User_id`);
--
-- Indexes for table `book_signup`
--
ALTER TABLE `book_signup`
ADD PRIMARY KEY (`Post_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `admin_login`
--
ALTER TABLE `admin_login`
MODIFY `User_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `book_signup`
--
ALTER TABLE `book_signup`
MODIFY `Post_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=79;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE TABLE allowed_leaves(
id SERIAL PRIMARY KEY ,
year int NOT NULL,
leave_type leave NOT NULL ,
allowed_leaves int NOT NULL,
UNIQUE (leave_type,allowed_leaves)
); |
CREATE FUNCTION [wms].[ConsultaTipoDistribucionGWS]
(
@ordenId INT
)
RETURNS TABLE
AS
RETURN
(
WITH
cte_00 AS
(
SELECT
SUM(a.cantidad*COALESCE(b.peso_bruto, 0)) AS peso_total,
SUM(a.cantidad*COALESCE(b.peso_bruto,-1000000)) AS peso_ajustado
FROM ordenes.lineas_orden a
LEFT OUTER JOIN wms.productos_unidades b ON
b.id_producto = a.id_producto
AND b.nivel = 1
WHERE
a.id_orden = @ordenId
)
SELECT
a.peso_total,
CASE
WHEN a.peso_ajustado < 0 THEN 'ASIGNAR'
WHEN a.peso_ajustado <= 750 THEN 'SECUNDARIA'
WHEN a.peso_ajustado IS NOT NULL THEN 'PRIMARIA'
ELSE '???' END tipo_distribucion,
CASE
WHEN a.peso_ajustado <= 750 THEN 'CARRY'
WHEN a.peso_ajustado <= 1500 THEN 'LUV'
WHEN a.peso_ajustado <= 2000 THEN 'NHR'
WHEN a.peso_ajustado <= 4500 THEN 'TURBO'
WHEN a.peso_ajustado <= 8500 THEN 'SENCILLO'
WHEN a.peso_ajustado <= 17000 THEN 'MINIMULA'
WHEN a.peso_ajustado <= 32000 THEN 'TRACTOMULA 2'
WHEN a.peso_ajustado <= 34000 THEN 'TRACTOMULA 3'
ELSE '???' END tipo_vehiculo
FROM cte_00 a
)
|
SELECT
id,
CONCAT(first_name, ' ',last_name) AS `full_name`,
CONCAT('$',salary) AS salary,
started_on
FROM employees
WHERE salary >= 100000 AND DATE(started_on) >= '2018/01/01'
ORDER BY
salary DESC,
id; |
-- =============================================
-- 功能簡述：用户新增
-- 拟写：Jerry
-- 日期：2018/07/13
-- =============================================
ALTER PROCEDURE sp_AddUserAccount
(
@UserNo VARCHAR(30) , --用户账号
@UserPswd VARCHAR(MAX) , --用户密码
@PswdKey VARCHAR(100) , --密钥
@UserPswdInit NVARCHAR(100) , --密码提示
@HaveChange VARCHAR(1) , --密码已经修改
@UserPswdDate DATETIME , --密码过期日
@EmpNo VARCHAR(30) , --员工编号
@State VARCHAR(1) , --使用状态
@CreateBy VARCHAR(30) ,
@ChiLastName VARCHAR(10) , --姓
@ChiFirstName VARCHAR(10) --名
)
WITH ENCRYPTION
AS
BEGIN
INSERT INTO Sys_User(UserNo, UserPswd, PswdKey, UserPswdInit, HaveChange, UserPswdDate, EmpNo, State, CreateBy)
VALUES (@UserNo, @UserPswd, @PswdKey, @UserPswdInit, @HaveChange, @UserPswdDate, @EmpNo, @State, @CreateBy)
INSERT INTO dbo.Sys_Employee (EmpNo, ChiLastName, ChiFirstName, CreateBy)
VALUES (@UserNo, @ChiLastName, @ChiFirstName, @CreateBy);
END
|
-- Bigquery History
-- INSERT INTO `mart_200729.keyword_bank_result_agg_remove_docid` (docid)
-- SELECT DOCID FROM `master_200729.keyword_bank` WHERE
-- DATE(D_CRAWLSTAMP) > "2020-05-31" and D_URL like 'https://cafe.naver.com/haruha2016/%';
-- SELECT DOCID FROM `master_200729.keyword_bank` WHERE
-- DATE(D_CRAWLSTAMP) > "2020-05-31" and D_URL like 'https://cafe.naver.com/haruha2016/%';
-- INSERT INTO `mart_200729.keyword_bank_result_agg_remove_docid` (docid, keyword)
-- SELECT
-- distinct docid
-- , "오픈뱅킹"
-- FROM
-- `kb-daas-dev.mart_200729.keyword_bank_result_agg_only_bank` TA,
-- UNNEST(TA.KPE) TB
-- WHERE
-- TA.CRAWLSTAMP BETWEEN TIMESTAMP_SUB(TIMESTAMP '2020-06-01', INTERVAL 1 DAY) and TIMESTAMP_ADD(TIMESTAMP '2020-06-30', INTERVAL 1 DAY)
-- AND DATE(TA.WRITESTAMP, 'Asia/Seoul') >= '2020-06-01'
-- AND DATE(TA.WRITESTAMP, 'Asia/Seoul') <= '2020-06-30'
-- AND TB.keyword not in (SELECT keyword FROM `mart_200729.filter`)
-- AND length(TB.keyword) <= 10
-- AND TA.channel != "뉴스"
-- AND
-- TA.DOCID not in (SELECT docid FROM `mart_200729.keyword_bank_result_agg_remove_docid`)
-- AND TB.keyword = "오픈뱅킹";
SELECT
DATE(TA.WRITESTAMP, 'Asia/Seoul') as day,
TA.channel,
(CASE
WHEN ARRAY_LENGTH(TA.D2C) > 0 THEN TA.D2C[SAFE_OFFSET(0)].label
ELSE NULL
END) AS CATEGORY ,
TB.keyword AS keyword,
TB.score AS score,
TA.TITLE,
1 AS cnt
FROM
`kb-daas-dev.mart_200729.keyword_bank_result_agg_only_bank` TA,
UNNEST(TA.KPE) TB
WHERE
TA.CRAWLSTAMP BETWEEN TIMESTAMP_SUB(TIMESTAMP '2020-06-01', INTERVAL 1 DAY) and TIMESTAMP_ADD(TIMESTAMP '2020-06-30', INTERVAL 1 DAY)
AND DATE(TA.WRITESTAMP, 'Asia/Seoul') >= '2020-06-01'
AND DATE(TA.WRITESTAMP, 'Asia/Seoul') <= '2020-06-30'
AND TB.keyword not in (SELECT keyword FROM `mart_200729.filter`)
AND length(TB.keyword) <= 10
AND TA.channel != "뉴스"
AND
TA.DOCID not in (SELECT docid FROM `mart_200729.keyword_bank_result_agg_remove_docid`)
AND TB.keyword = "KB마이핏";
-- INSERT INTO `mart_200729.filter` (type, keyword) values
-- ('1', 'heo33hetistorycom'),
-- ('1', '20191229'),
-- ('1', 'eviewktcom'),
-- ('1', '디지털데일리'),
-- ('1', '고정현');
|
-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: <Description,,>
-- =============================================
CREATE PROCEDURE sp_Busca_Contabilidad
-- Add the parameters for the stored procedure here
@IdEmpresa int,
@IdProyecto int,
@Fecha datetime
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
-- Insert statements for procedure here
select
iif(C.GastadoSolesAñoAnterior is null, 0, C.GastadoSolesAñoAnterior) as GastadoSolesAñoAnterior_,
iif(C.GastadoSolesAñoPresente is null, 0, C.GastadoSolesAñoPresente) as GastadoSolesAñoPresente_,
iif(C.GastadoDolaresAñoAnterior is null,0, C.GastadoDolaresAñoAnterior) as GastadoDolaresAñoAnterior_,
iif(C.GastadoDolaresAñoPresente is null,0, C.GastadoDolaresAñoPresente) as GastadoDolaresAñoPresente_
from (
select
-- A.origen, A.Nombre, A.Fecha, A.CuentaContable, A.Documento,
sum(iif(year(A.Fecha) <= datepart(year,@Fecha)-1 ,A.ImporteSoles,0)) as GastadoSolesAñoAnterior,
sum(iif(year(A.Fecha) = datepart(year,@Fecha) ,A.ImporteSoles,0)) as GastadoSolesAñoPresente,
sum(iif(year(A.Fecha) <= datepart(year,@Fecha)-1 ,A.ImporteDolares,0)) as GastadoDolaresAñoAnterior,
sum(iif(year(A.Fecha) = datepart(year,@Fecha) ,A.ImporteDolares,0)) as GastadoDolaresAñoPresente
from (
SELECT 'Contabilidad' AS origen, ERP.Asiento.IdOrigen,
ERP.AsientoDetalle.Nombre, ERP.Asiento.Fecha, ERP.PlanCuenta.CuentaContable, ERP.AsientoDetalle.Serie,
ERP.AsientoDetalle.Documento, ERP.Asiento.IdMoneda, ERP.Asiento.TipoCambio, ERP.AsientoDetalle.ImporteSoles,
ERP.AsientoDetalle.ImporteDolares
FROM ((ERP.Asiento
INNER JOIN ERP.AsientoDetalle ON ERP.Asiento.ID = ERP.AsientoDetalle.IdAsiento)
INNER JOIN ERP.PlanCuenta ON (ERP.AsientoDetalle.IdPlanCuenta = ERP.PlanCuenta.ID) AND (ERP.AsientoDetalle.IdPlanCuenta = ERP.PlanCuenta.ID))
INNER JOIN Maestro.Origen ON ERP.Asiento.IdOrigen = Maestro.Origen.ID
WHERE
(((ERP.Asiento.Fecha)<=@Fecha) AND
((ERP.AsientoDetalle.IdProyecto)=@IdProyecto) AND
((ERP.Asiento.IdEmpresa)=@IdEmpresa) AND
((ERP.Asiento.Flag)=1) AND
((ERP.Asiento.FlagBorrador)=0) AND
left(ERP.PlanCuenta.CuentaContable,1)='9' and
Maestro.Origen.Abreviatura in('01','09','17','18','19','21'))) as A) as C
-- 01 asientos de diario, 09 planilla, 17 regularizaciones, 18 provisiones, 19 provision rrhh, 21 proveedores
END |
SELECT * from benn.nfl_player_colleges |
/* Formatted on 21/07/2014 18:37:43 (QP5 v5.227.12220.39754) */
CREATE OR REPLACE FORCE VIEW MCRE_OWN.V_MCRE0_ST_CR_LG_GB
(
ID_DPER,
COD_SNDG_LG,
VAL_ACC_LGGB,
VAL_UTI_LGGB,
VAL_SCO_LGGB,
VAL_GAR_LGGB,
VAL_ACC_SIS_LG,
VAL_UTI_SIS_LG,
VAL_SCO_SIS_LG,
VAL_IMP_GAR_SIS_LG,
DTA_RIFERIMENTO_CR
)
AS
WITH T_MCRE0_FL_CR_LG_GB
AS (SELECT (SELECT TO_NUMBER (
TO_CHAR (
TO_DATE (TRIM (PERIODO_RIF), 'DDMMYYYY'),
'YYYYMMDD'))
FROM TE_MCRE0_CLGG_IDT
WHERE ROWNUM = 1)
ID_DPER,
RPAD (FAO_NDG_CPG, 16, 0) AS COD_SNDG_LG,
TO_NUMBER (FAO_IMP_ACC_GBA) AS VAL_ACC_LGGB,
TO_NUMBER (FAO_IMP_UTI_GBA) AS VAL_UTI_LGGB,
TO_NUMBER (FAO_IMP_SCO_GBA) AS VAL_SCO_LGGB,
TO_NUMBER (FAO_IMP_GAR_GBA) AS VAL_GAR_LGGB,
TO_NUMBER (FAO_IMP_ACC_SIS) AS VAL_ACC_SIS_LG,
TO_NUMBER (FAO_IMP_UTI_SIS) AS VAL_UTI_SIS_LG,
TO_NUMBER (FAO_IMP_SCO_SIS) AS VAL_SCO_SIS_LG,
TO_NUMBER (FAO_IMP_GAR_SIS) AS VAL_IMP_GAR_SIS_LG,
TO_DATE (FAO_DAT_RIF, 'ddmmyyyy') AS DTA_RIFERIMENTO_CR
FROM TE_MCRE0_CLGG_INC
WHERE FND_MCRE0_is_numeric (FAO_IMP_ACC_GBA) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_UTI_GBA) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_SCO_GBA) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_GAR_GBA) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_ACC_SIS) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_UTI_SIS) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_SCO_SIS) = 1
AND FND_MCRE0_is_numeric (FAO_IMP_GAR_SIS) = 1
AND FND_MCRE0_is_date (FAO_DAT_RIF) = 1)
SELECT "ID_DPER",
"COD_SNDG_LG",
"VAL_ACC_LGGB",
"VAL_UTI_LGGB",
"VAL_SCO_LGGB",
"VAL_GAR_LGGB",
"VAL_ACC_SIS_LG",
"VAL_UTI_SIS_LG",
"VAL_SCO_SIS_LG",
"VAL_IMP_GAR_SIS_LG",
"DTA_RIFERIMENTO_CR"
FROM (SELECT COUNT (1) OVER (PARTITION BY ID_DPER, COD_SNDG_LG) NUM_RECS,
ID_DPER,
COD_SNDG_LG,
VAL_ACC_LGGB,
VAL_UTI_LGGB,
VAL_SCO_LGGB,
VAL_GAR_LGGB,
VAL_ACC_SIS_LG,
VAL_UTI_SIS_LG,
VAL_SCO_SIS_LG,
VAL_IMP_GAR_SIS_LG,
DTA_RIFERIMENTO_CR
FROM T_MCRE0_FL_CR_LG_GB) tmp
WHERE NUM_RECS = 1
AND TRIM (TO_CHAR (ID_DPER)) IS NOT NULL
AND TRIM (TO_CHAR (COD_SNDG_LG)) IS NOT NULL;
|
SELECT e.EmployeeID,
e.FirstName,
e.ManagerID,
m.FirstName AS [ManagerName]
FROM Employees AS e
JOIN Employees AS m
ON e.ManagerID = m.EmployeeID
WHERE e.ManagerID IN (3, 7)
ORDER BY e.EmployeeID |
drop table if exists tasks;
create table tasks (
id integer primary key autoincrement,
title text not null,
code text not null
);
drop table if exists temp_pages;
create table temp_pages (
id integer primary key autoincrement,
html text not null,
created_at text not null,
last_access text not null
);
drop table if exists task_args;
create table task_args (
id integer primary key autoincrement,
id_task integer not null,
name text not null,
arg_type text not null
);
|
```
UPDATE titles_test SET to_date=NULL ,from_date='2001-01-01'
WHERE to_date='9999-01-01'
``` |
INSERT INTO PROFESSOR(PROFESSOR_ID,PROFESSOR_ADDRESS,PROFESSOR_AGE,PROFESSOR_NAME)
VALUES (1,'Dapoli','70','Popat Misal');
INSERT INTO PROFESSOR(PROFESSOR_ID,PROFESSOR_ADDRESS,PROFESSOR_AGE,PROFESSOR_NAME)
VALUES (2,'Dapoli','45','Dhelakle');
INSERT INTO PROFESSOR(PROFESSOR_ID,PROFESSOR_ADDRESS,PROFESSOR_AGE,PROFESSOR_NAME)
VALUES (3,'Dapoli','48','Mali');
INSERT INTO SUBJECTS(SUBJECT_ID,SUBJECT_DURATION,SUBJECT_NAME,SUBJECT_ROOM_NUMBER,SUBJECT_TIMING)
VALUES (101,'1hr','Math-1','200','8am - 9am');
INSERT INTO SUBJECTS(SUBJECT_ID,SUBJECT_DURATION,SUBJECT_NAME,SUBJECT_ROOM_NUMBER,SUBJECT_TIMING)
VALUES (102,'1hr','Math-2','200','12pm - 1pm');
INSERT INTO SUBJECTS(SUBJECT_ID,SUBJECT_DURATION,SUBJECT_NAME,SUBJECT_ROOM_NUMBER,SUBJECT_TIMING)
VALUES (103,'2hr','Chemistry','200','9.30am - 11.30am');
INSERT INTO PROFESSOR_SUBJECTS(PROFESSOR_ID,SUBJECTS_ID)
VALUES (1,101);
INSERT INTO PROFESSOR_SUBJECTS(PROFESSOR_ID,SUBJECTS_ID)
VALUES (1,102);
INSERT INTO PROFESSOR_SUBJECTS(PROFESSOR_ID,SUBJECTS_ID)
VALUES (2,103);
INSERT INTO PROFESSOR_SUBJECTS(PROFESSOR_ID,SUBJECTS_ID)
VALUES (3,103); |
SELECT a.name AS company,
DATE_TRUNC('day',o.occurred_at) AS time_id,
SUM(o.gloss_qty) AS gloss_units,
SUM(o.poster_qty) AS poster_units,
SUM(o.standard_qty) AS standard_units,
SUM(o.total_amt_usd) AS total_sales_usd
FROM demo.accounts a
JOIN demo.orders o
ON o.account_id = a.id
AND o.occurred_at >= '{{ start_date }}'
AND o.occurred_at < '2017-01-01'
JOIN demo.web_events_new we
ON we.account_id = o.account_id
AND we.channel IN ({{ channel }})
AND o.occurred_at BETWEEN we.occurred_at AND we.occurred_at + interval '31 minutes'
WHERE a.name ILIKE '{{ account }}'
GROUP BY 1,2
ORDER BY 1,2
{% form %}
account:
type: text
default: Walmart
channel:
type: multiselect
default: direct
options:
[
adroll,
adwords,
banner,
direct,
email,
facebook,
linkedin,
organic,
twitter
]
start_date:
type: date
default: '2016-01-01'
{% endform %} |
-- +micrate Up
-- SQL in section 'Up' is executed when this migration is applied
CREATE TABLE users(username VARCHAR PRIMARY KEY, name VARCHAR NOT NULL, token CHAR(32) NOT NULL, created_at DATETIME, updated_at DATETIME);
-- +micrate Down
-- SQL section 'Down' is executed when this migration is rolled back
DROP TABLE users; |
create table PLACEUR_USER (
ID uuid,
VERSION integer not null,
CREATE_TS timestamp,
CREATED_BY varchar(50),
UPDATE_TS timestamp,
UPDATED_BY varchar(50),
DELETE_TS timestamp,
DELETED_BY varchar(50),
--
NICKNAME varchar(255) not null,
MAIL varchar(255) not null,
NAME varchar(255) not null,
SURNAME varchar(255),
BIRTHDAY date not null,
CITY_ID uuid not null,
PICTURE_ID uuid,
--
primary key (ID)
);
|
CREATE PROC [ERP].[Usp_Del_GuiaRemision]
@IdGuiaRemision INT
AS
BEGIN
DELETE FROM ERP.ValeDetalle WHERE IdVale IN (SELECT IdVale FROM ERP.GuiaRemision WHERE ID = @IdGuiaRemision)
DELETE FROM ERP.Vale WHERE ID IN (SELECT IdVale FROM ERP.GuiaRemision WHERE ID = @IdGuiaRemision)
DELETE FROM ERP.GuiaRemisionReferencia WHERE ID = @IdGuiaRemision
DELETE FROM ERP.GuiaRemisionDetalle WHERE IdGuiaRemision = @IdGuiaRemision
DELETE FROM ERP.GuiaRemision WHERE ID = @IdGuiaRemision
END |
DELIMITER $$
USE `cci_gh_go`$$
DROP PROCEDURE IF EXISTS `SPFieldStaffRegionList`$$
CREATE DEFINER=`madhavi`@`%` PROCEDURE `SPFieldStaffRegionList`(IN fieldStaffId INT)
BEGIN
DECLARE goId,typeId,seasnId INT;
SET @goId = fieldStaffId;
SET @typeId = (SELECT `fieldStaffTypeId` FROM `FieldStaff` WHERE `fieldStaffGoId` = @goId);
SET @seasnId = (SELECT MAX(`seasonId`) FROM `FieldStaffLeadershipSeason` WHERE `fieldStaffGoId` = @goId);
CASE @typeId
WHEN 5 THEN
SELECT `superRegionId`,`regionId`,`usStatesId` INTO @srId,@rId,@usId
FROM `SeasonGeographyConfiguration` sgc
INNER JOIN `FieldStaffLeadershipSeason` fsl ON fsl.`seasonGeographyConfigurationId` = sgc.`seasonGeographyConfigurationId`
WHERE fsl.`fieldStaffGoId` = @goId AND fsl.`seasonId` = @seasnId;
SELECT GROUP_CONCAT(DISTINCT sp.`superRegionName`) AS superRegion,
GROUP_CONCAT(DISTINCT r.`regionName`) AS region,
GROUP_CONCAT(DISTINCT us.`stateName`) AS States
FROM `SuperRegion` sp
INNER JOIN `SeasonGeographyConfiguration` sgc ON sgc.`superRegionId` = sp.`superRegionId`
INNER JOIN `Region` r ON r.`regionId` = sgc.`regionId`
INNER JOIN `LookupUSStates` us ON sgc.`usStatesId` = us.`usStatesId`
INNER JOIN `FieldStaffLeadershipSeason` fls ON fls.`seasonId` = sgc.`seasonId`
WHERE fls.`fieldStaffGoId` = @goId AND fls.`seasonId` = @seasnId
AND sgc.superRegionId = @srId;
WHEN 3 THEN
SELECT `superRegionId`,`regionId`,`usStatesId` INTO @srId,@rId,@usId
FROM `SeasonGeographyConfiguration` sgc
INNER JOIN `FieldStaffLeadershipSeason` fsl ON fsl.`seasonGeographyConfigurationId` = sgc.`seasonGeographyConfigurationId`
WHERE fsl.`fieldStaffGoId` = @goId AND fsl.`seasonId` = @seasnId;
IF (@usId IS NULL) THEN
SELECT GROUP_CONCAT(DISTINCT sp.`superRegionName`) AS superRegion,
GROUP_CONCAT(DISTINCT r.`regionName`) AS region,
GROUP_CONCAT(DISTINCT us.`stateName`) AS States
FROM `Region` r
INNER JOIN `SeasonGeographyConfiguration` sgc ON r.`regionId` = sgc.`regionId`
INNER JOIN `LookupUSStates` us ON us.`usStatesId` = sgc.`usStatesId`
INNER JOIN `SuperRegion` sp ON sgc.`superRegionId` = sp.`superRegionId`
INNER JOIN `FieldStaffLeadershipSeason` fls ON fls.`seasonId` = sgc.`seasonId`
WHERE fls.`fieldStaffGoId` = @goId AND fls.`seasonId` = @seasnId
AND sgc.superRegionId = @srId AND sgc.regionId = @rId;
END IF;
WHEN 2 THEN
SELECT `superRegionId`,`regionId`,`usStatesId` INTO @srId,@rId,@usId
FROM `SeasonGeographyConfiguration` sgc
INNER JOIN `FieldStaffLeadershipSeason` fsl ON fsl.`seasonGeographyConfigurationId` = sgc.`seasonGeographyConfigurationId`
WHERE fsl.`fieldStaffGoId` = @goId AND fsl.`seasonId` = @seasnId;
IF (@usId IS NULL) THEN
SELECT GROUP_CONCAT(DISTINCT sp.`superRegionName`) AS superRegion,
GROUP_CONCAT(DISTINCT r.`regionName`) AS region,
GROUP_CONCAT(DISTINCT us.`stateName`) AS States
FROM `Region` r
INNER JOIN `SeasonGeographyConfiguration` sgc ON r.`regionId` = sgc.`regionId`
INNER JOIN `LookupUSStates` us ON us.`usStatesId` = sgc.`usStatesId`
INNER JOIN `SuperRegion` sp ON sgc.`superRegionId` = sp.`superRegionId`
INNER JOIN `FieldStaffLeadershipSeason` fls ON fls.`seasonId` = sgc.`seasonId`
WHERE fls.`fieldStaffGoId` = @goId AND fls.`seasonId` = @seasnId
AND sgc.superRegionId = @srId AND sgc.regionId = @rId ;
END IF;
ELSE
BEGIN
END;
END CASE;
END$$
DELIMITER ; |
DROP TABLE IF EXISTS `fivetoknow`.`answers`;
CREATE TABLE `fivetoknow`.`answers` (
`id` int(10) unsigned NOT NULL auto_increment,
`itemID` int(10) unsigned NOT NULL default '0',
`text` text NOT NULL,
`visible` tinyint(1) NOT NULL default '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `fivetoknow`.`items`;
CREATE TABLE `fivetoknow`.`items` (
`id` int(10) unsigned NOT NULL auto_increment,
`text` text NOT NULL,
`answer` int(10) unsigned default NULL,
`lessonID` int(10) unsigned default NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `fivetoknow`.`lessons`;
CREATE TABLE `fivetoknow`.`lessons` (
`id` int(10) unsigned NOT NULL auto_increment,
`title` varchar(255) NOT NULL default '',
`description` text NOT NULL,
`keyboardLayout` varchar(4) NOT NULL default '',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `fivetoknow`.`stats`;
CREATE TABLE `fivetoknow`.`stats` (
`id` int(10) unsigned NOT NULL auto_increment,
`userID` int(10) unsigned NOT NULL default '0',
`logindate` datetime NOT NULL default '0000-00-00 00:00:00',
`score` int(11) NOT NULL default '0',
`score1` int(11) NOT NULL default '0',
`score2` int(11) NOT NULL default '0',
`score3` int(11) NOT NULL default '0',
`score4` int(11) NOT NULL default '0',
`score5` int(11) NOT NULL default '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `fivetoknow`.`useritems`;
CREATE TABLE `fivetoknow`.`useritems` (
`id` int(10) unsigned NOT NULL auto_increment,
`userlessonID` int(10) unsigned NOT NULL default '0',
`itemID` int(10) unsigned NOT NULL default '0',
`level` int(10) unsigned NOT NULL default '0',
`last` datetime NOT NULL default '0000-00-00 00:00:00',
`next` datetime NOT NULL default '0000-00-00 00:00:00',
`active` tinyint(1) NOT NULL default '0',
`wright` int(10) unsigned NOT NULL default '0',
`wrong` int(10) unsigned NOT NULL default '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `fivetoknow`.`userlessons`;
CREATE TABLE `fivetoknow`.`userlessons` (
`id` int(10) unsigned NOT NULL auto_increment,
`userID` int(10) unsigned NOT NULL default '0',
`lessonID` int(10) unsigned NOT NULL default '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `fivetoknow`.`users`;
CREATE TABLE `fivetoknow`.`users` (
`id` int(10) unsigned NOT NULL auto_increment,
`name` varchar(255) NOT NULL default '',
`password` varchar(255) NOT NULL default '',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8; |
/*
#---------------------------------------------------------------+
# PostgreSQL commands for creating table 'vhd' in |
# database 'vpkshd' |
# The table will be owned by the user issuing the command. |
# |
# Creation date: Thu Mar 17 17:46:23 MSK 2016 |
# The host where it was developed=pnpi-itmo.pnpi.spb.ru |
#---------------------------------------------------------------+
# |
# Author: A. Oreshkin. email: anatoly.oreshkin@gmail.com |
#---------------------------------------------------------------+
# History of changes: |
# 8.04.2016 change vshd --> vhd |
# |
# 4.05.2016 change {comments, vhdname} size |
# added vhdcreation_date |
# 5.05.2016 change vhd_size size |
# 10.05.2016 change timestamp with time zone -> timestamp |
#---------------------------------------------------------------+
*/
/*
#
# Create table 'vhd' in database 'vpkshd'
#
*/
\set ON_ERROR_STOP 1
CREATE TABLE vhd (
vhd_id serial,
vhd_name varchar(144) PRIMARY KEY,
email varchar(64) NOT NULL,
phones varchar(64) NOT NULL,
nreplicas integer NOT NULL,
vhd_size numeric(10,3) NOT NULL,
compress varchar(64) NOT NULL,
shifr varchar(64) NOT NULL,
vhdcreation_date timestamp NOT NULL,
vhd_date timestamp NOT NULL,
comments varchar(1024)
);
|
CREATE TABLE IF NOT EXISTS vets (
id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
first_name VARCHAR(30) NOT NULL,
last_name VARCHAR(30) NOT NULL,
INDEX(first_name)
);
CREATE TABLE IF NOT EXISTS specialties (
id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(80),
INDEX(name)
);
CREATE TABLE IF NOT EXISTS vet_specialties (
vet_id INT NOT NULL,
specialty_id INT NOT NULL,
FOREIGN KEY (vet_id) REFERENCES vets(id),
FOREIGN KEY (specialty_id) REFERENCES specialties(id),
UNIQUE (vet_id, specialty_id)
); |
set echo off newpage 0 space 0 pagesize 32767 feed off head off underline off trimspool on termout off linesize 4000
--------------------------------------------------------
-- DDL for Table CUSTOMER_SETTING
--------------------------------------------------------
CREATE TABLE "BBPORTAL"."CUSTOMER_SETTING"
( "CUSTOMER_SETTING_ID" NUMBER(19,0),
"SETTING_ID" NUMBER(19,0),
"CUSTOMER_ID" NUMBER(19,0),
"VALUE" VARCHAR2(255 CHAR),
"CREATION_DATE" TIMESTAMP (6),
"REQUESTED_BY" NUMBER(19,0)
) SEGMENT CREATION IMMEDIATE
PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255
NOCOMPRESS LOGGING
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ;
--------------------------------------------------------
-- DDL for Index CUSTOMER_SETTING_PK
--------------------------------------------------------
CREATE UNIQUE INDEX "BBPORTAL"."CUSTOMER_SETTING_PK" ON "BBPORTAL"."CUSTOMER_SETTING" ("CUSTOMER_SETTING_ID")
PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ;
--------------------------------------------------------
-- DDL for Index CUSTOMER_SETTING_UK1
--------------------------------------------------------
CREATE UNIQUE INDEX "BBPORTAL"."CUSTOMER_SETTING_UK1" ON "BBPORTAL"."CUSTOMER_SETTING" ("SETTING_ID", "CUSTOMER_ID")
PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ;
--------------------------------------------------------
-- DDL for Index CSETTING_IDX1
--------------------------------------------------------
CREATE INDEX "BBPORTAL"."CSETTING_IDX1" ON "BBPORTAL"."CUSTOMER_SETTING" ("SETTING_ID")
PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ;
--------------------------------------------------------
-- DDL for Index CSETTING_IDX2
--------------------------------------------------------
CREATE INDEX "BBPORTAL"."CSETTING_IDX2" ON "BBPORTAL"."CUSTOMER_SETTING" ("CUSTOMER_ID")
PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ;
--------------------------------------------------------
-- Constraints for Table CUSTOMER_SETTING
--------------------------------------------------------
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" ADD CONSTRAINT "CUSTOMER_SETTING_UK1" UNIQUE ("SETTING_ID", "CUSTOMER_ID")
USING INDEX PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ENABLE;
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" ADD CONSTRAINT "CUSTOMER_SETTING_PK" PRIMARY KEY ("CUSTOMER_SETTING_ID")
USING INDEX PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS
STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "BLAWDATA" ENABLE;
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" MODIFY ("REQUESTED_BY" NOT NULL ENABLE);
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" MODIFY ("CREATION_DATE" NOT NULL ENABLE);
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" MODIFY ("VALUE" NOT NULL ENABLE);
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" MODIFY ("CUSTOMER_ID" NOT NULL ENABLE);
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" MODIFY ("SETTING_ID" NOT NULL ENABLE);
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" MODIFY ("CUSTOMER_SETTING_ID" NOT NULL ENABLE);
--------------------------------------------------------
-- Ref Constraints for Table CUSTOMER_SETTING
--------------------------------------------------------
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" ADD CONSTRAINT "CUSTOMER_SETTING_CUSTOMER_FK1" FOREIGN KEY ("CUSTOMER_ID")
REFERENCES "BBPORTAL"."CUSTOMER" ("CUSTOMER_ID") ON DELETE CASCADE ENABLE;
ALTER TABLE "BBPORTAL"."CUSTOMER_SETTING" ADD CONSTRAINT "CUSTOMER_SETTING_SETTING_FK1" FOREIGN KEY ("SETTING_ID")
REFERENCES "BBPORTAL"."SETTING" ("SETTING_ID") ON DELETE CASCADE ENABLE;
QUIT;
|
ques--(8)Find the average Prevailing Wage for each Job for each Year (take part time and full time separate). Arrange the output in descending order - [Certified and Certified Withdrawn.]?
quary---1st...2011... select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='Y' and year='2011' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
output----FRANCHISE DEVELOPMENT ANALYST Y 2011 43306.0
MARKET RESEARCH ANALYST (ACCOUNT MANAGER) Y 2011 43306.0
PRODUCT RESEARCH ANALYST, DAYLIGHTING Y 2011 43306.0
LOTUS NOTES/DOMINO DEVELOPER Y 2011 43306.0
TELEVISION/ NEWS VIDEO EDITOR Y 2011 43306.0
MARKETING/SALES ANALYST Y 2011 43306.0
2nd...2011...select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='N'and year='2011' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
ARM MANAGER N 2011 42931.0
ESTIMATOR N 2011 42924.0
ASSISTANT RESEARCH SCIENTIST N 2011 42916.90476190476
QUALITY CONTROL CHEMIST N 2011 42910.0
IMPORT & CONTRACT SPECIALIST N 2011 42889.0
2012-----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='Y' and year='2012' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2012---select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='N' and year='2012' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2013----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='Y' and year='2013' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2013----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='N' and year='2013' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2014-----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='Y' and year='2014' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2014----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='N' and year='2014' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2015----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='Y' and year='2015' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2015-----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='N' and year='2015' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2016----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='Y' and year='2016' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
2016----select job_title,full_time_position,year,avg(prevailing_wage) as average from h1b_final where full_time_position ='N' and year='2016' and case_status in ('CERTIFIED','CERTIFIED-WITHDRAWN') group by job_title,full_time_position,year order by average desc;
ques--2(b)find top 5 locations in the US who have got certified visa for each year.[certified]?
quary----2011--select worksite,count(case_status)as temp,year from h1b_final where year ='2011' and case_status ='CERTIFIED' group by worksite,year order by temp desc limit 5;
output---NEW YORK, NEW YORK 23172 2011
HOUSTON, TEXAS 8184 2011
CHICAGO, ILLINOIS 5188 2011
SAN JOSE, CALIFORNIA 4713 2011
SAN FRANCISCO, CALIFORNIA 4711 2011
Time taken: 385.259 seconds, Fetched: 5 row(s)
2012----select worksite,count(case_status)as temp,year from h1b_final where year ='2012' and case_status ='CERTIFIED' group by worksite,year order by temp desc limit 5;
2013----select worksite,count(case_status)as temp,year from h1b_final where year ='2013' and case_status ='CERTIFIED' group by worksite,year order by temp desc limit 5;
2014----select worksite,count(case_status)as temp,year from h1b_final where year ='2014' and case_status ='CERTIFIED' group by worksite,year order by temp desc limit 5;
2015----select worksite,count(case_status)as temp,year from h1b_final where year ='2015' and case_status ='CERTIFIED' group by worksite,year order by temp desc limit 5;
2016----select worksite,count(case_status)as temp,year from h1b_final where year ='2016' and case_status ='CERTIFIED' group by worksite,year order by temp desc limit 5;
ques----5(a) Find the most popular top 10 job positions for H1B visa applications for each year?
a) for all the applications?
b) for only certified applications?
quary----select job_title,year,count(job_title)as temp from h1b_final where year='2011' group by job_title,year order by temp desc limit 10;
output------PROGRAMMER ANALYST 2011 31799
SOFTWARE ENGINEER 2011 12763
COMPUTER PROGRAMMER 2011 8998
SYSTEMS ANALYST 2011 8644
BUSINESS ANALYST 2011 3891
2012-----select job_title,year,count(job_title)as temp from h1b_final where year='2012' group by job_title,year order by temp desc limit 10;
2013-----select job_title,year,count(job_title)as temp from h1b_final where year='2013' group by job_title,year order by temp desc limit 10;
2014----select job_title,year,count(job_title)as temp from h1b_final where year='2014' group by job_title,year order by temp desc limit 10;
2015----select job_title,year,count(job_title)as temp from h1b_final where year='2015' group by job_title,year order by temp desc limit 10;
2016----select job_title,year,count(job_title)as temp from h1b_final where year='2016' group by job_title,year order by temp desc limit 10;
5(b)---for only certified applications?
quary----5(b)-----select job_title,year,count(job_title)as temp from h1b_final where case_status='CERTIFIED' group by job_title,year order by temp desc limit 10;
output----
PROGRAMMER ANALYST 2015 48203
PROGRAMMER ANALYST 2016 47964
PROGRAMMER ANALYST 2014 38625
PROGRAMMER ANALYST 2013 29906
PROGRAMMER ANALYST 2012 29226
PROGRAMMER ANALYST 2011 28806
SOFTWARE ENGINEER 2016 25890
SOFTWARE ENGINEER 2015 23352
SOFTWARE ENGINEER 2014 17278
COMPUTER PROGRAMMER 2014 13796
question----(7) Create a bar graph to depict the number of applications for each year [All]?
quary-----select year,count(*) from h1b_final group by year order by year;
output-----
2011 358767
2012 415607
2013 442114
2014 519427
2015 618727
2016 647803
|
-- phpMyAdmin SQL Dump
-- version 5.0.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Apr 23, 2020 at 09:22 PM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.4.2
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: `userbank`
--
-- --------------------------------------------------------
--
-- Table structure for table `bankaccount`
--
CREATE TABLE `bankaccount` (
`fname` varchar(255) NOT NULL,
`lname` varchar(255) NOT NULL,
`username` varchar(255) NOT NULL,
`password` int(11) NOT NULL,
`email` varchar(255) NOT NULL,
`balance` float(10,2) NOT NULL,
`acctnum` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `bankaccount`
--
INSERT INTO `bankaccount` (`fname`, `lname`, `username`, `password`, `email`, `balance`, `acctnum`) VALUES
('Lily', 'Ann', 'lilyann', 1234, 'lann@gmail.com', 0.00, 107451);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `bankaccount`
--
ALTER TABLE `bankaccount`
ADD UNIQUE KEY `username` (`username`),
ADD UNIQUE KEY `email` (`email`),
ADD UNIQUE KEY `acctnum` (`acctnum`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE TABLE `php2509_2`.`users` (
`id` INT NOT NULL AUTO_INCREMENT COMMENT 'khoa chinh cua table' ,
`name` VARCHAR(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL , `email` VARCHAR(100) NOT NULL ,
`birthdate` DATE NULL DEFAULT NULL ,
`password` VARCHAR(100) NULL DEFAULT NULL ,
`created_at` DATETIME NULL DEFAULT CURRENT_TIMESTAMP ,
`updated_at` DATETIME NULL DEFAULT NULL ,
PRIMARY KEY (`id`),
UNIQUE `unique_email` (`email`)
);
-- Show san pham moi, show sp ban chay, sp khuyen mai
-- tao slider trang chu
-- danh muc cac san pham
-- luu hoa don da mua, cho biet trang thai cua hoa don
-- luu tru ds khach hang
CREATE TABLE `php2509_2`.`products` (
`id` INT NOT NULL AUTO_INCREMENT ,
`name` VARCHAR(225) NOT NULL ,
`price` FLOAT NOT NULL DEFAULT '0' ,
`promotion_price` FLOAT NOT NULL DEFAULT '0' ,
`type_id` INT NOT NULL ,
`image` VARCHAR(255) NOT NULL ,
`summary` VARCHAR(500) NOT NULL ,
`detail` TEXT NOT NULL ,
`new` TINYINT(1) NOT NULL DEFAULT '0' COMMENT '0_old, 1_new' ,
`status` TINYINT(1) NOT NULL DEFAULT '0' COMMENT '0_hide, 1_show' ,
`created_at` DATETIME NULL DEFAULT NULL ,
`updated_at` DATETIME NULL DEFAULT NULL ,
PRIMARY KEY (`id`)
) ENGINE = InnoDB;
CREATE TABLE `php2509_2`.`banner` (
`id` INT NOT NULL AUTO_INCREMENT ,
`image` VARCHAR(225) NOT NULL ,
`title` VARCHAR(255) NULL DEFAULT NULL ,
`link` VARCHAR(255) NULL DEFAULT NULL ,
`status` TINYINT(1) NOT NULL DEFAULT '0' COMMENT '0_hide, 1_show' ,
`created_at` DATETIME NULL DEFAULT NULL ,
`updated_at` DATETIME NULL DEFAULT NULL ,
PRIMARY KEY (`id`)
) ENGINE = InnoDB;
CREATE TABLE `php2509_2`.`categories` (
`id` INT NOT NULL AUTO_INCREMENT ,
`name` VARCHAR(255) NOT NULL ,
`image` VARCHAR(255) NOT NULL ,
`parent_id` INT NOT NULL ,
`status` TINYINT(1) NULL DEFAULT '0' COMMENT '0_hide, 1_show' ,
`created_at` DATETIME NULL DEFAULT NULL ,
`updated_at` DATETIME NULL DEFAULT NULL ,
PRIMARY KEY (`id`)
) ENGINE = InnoDB;
CREATE TABLE `php2509_2`.`bills` (
`id` INT NOT NULL AUTO_INCREMENT ,
`customer_id` INT NOT NULL ,
`date_order` DATETIME NOT NULL ,
`date_delivery` DATETIME NULL DEFAULT NULL ,
`total` FLOAT NOT NULL DEFAULT '0' ,
`total_discount` FLOAT NOT NULL DEFAULT '0' ,
`status` TINYINT(1) NOT NULL DEFAULT '0' COMMENT '0_DHthanhcong, 1_DHdanhan, 2_danggiao, 3_dagiao, 4_bihuy' ,
`created_at` DATETIME NULL DEFAULT NULL ,
`updated_at` DATETIME NULL DEFAULT NULL ,
PRIMARY KEY (`id`)
) ENGINE = InnoDB;
CREATE TABLE `php2509_2`.`bill_detail` (
`id` INT NOT NULL AUTO_INCREMENT ,
`bill_id` INT NOT NULL ,
`product_id` INT NOT NULL ,
`quantity` FLOAT NOT NULL DEFAULT '0' ,
`total` FLOAT NOT NULL DEFAULT '0' ,
`created_at` DATETIME NULL DEFAULT NULL ,
`updated_at` DATETIME NULL DEFAULT NULL ,
PRIMARY KEY (`id`)
) ENGINE = InnoDB;
ALTER TABLE `bill_detail`
ADD CONSTRAINT `fk_bills_bill_detail`
FOREIGN KEY (`bill_id`) REFERENCES `bills`(`id`)
ON DELETE RESTRICT ON UPDATE RESTRICT;
ALTER TABLE `bill_detail`
ADD FOREIGN KEY (`product_id`) REFERENCES `products`(`id`)
INSERT INTO users(id,name,email,birthdate,password)
VALUES (2,'Khoa Phạm 02','khoapham04@gmail.com','1999-2-16','244232335fgsdfjfw'),
(3,'Khoa Phạm 03','khoapham05@gmail.com','1999-2-16','244232335fgsdfjfw');
INSERT INTO users
VALUES (...);
UPDATE users
SET name='Nguyen Van A', birthdate='2000-3-30'
WHERE id=2
UPDATE users
SET email='khoa@yahoo.com'
WHERE email='khoapham05@gmail.com'
UPDATE users
SET password='234567'
WHERE email LIKE '%gmail com%'
= <= >= != <>
LIKE
NOT LIKE
IN(1,2,3)
NOT IN()
IS NULL
IS NOT NULL
id BETWEEN 1 AND 4 ~ id>=1 AND id<=4
AND
OR ~ IN(1,2,3,7,6)
DELETE FROM users
WHERE id IN (1,2,3)
LIMIT 0,3
SELECT column1, column2,...
FROM table1, table2,....
WHERE DKLK
AND ...
GROUP BY column1,...
HAVING DK_cho_group_by
ORDER BY column ASC|DESC
LIMIT position,quantity
20. Liệt kê danh sách sản phẩm gồm có tên Tên loại, Tên sp, Mô tả, Đơn giá và sắp xếp Tên loại theo chiều tăng dần.
SELECT categories.name AS tenloai , products.name AS tensp, detail
FROM products, categories
WHERE products.id_type = categories.id
AND categories.name = '...'
ORDER BY categories.name ASC
SELECT categories.name AS tenloai , products.name AS tensp, detail
FROM products
INNER JOIN categories
ON products.id_type = categories.id
WHERE categories.name = '...'
ORDER BY categories.name ASC
|
--CREATE VIEW V_EmployeeNameJobTitle AS
-- SELECT e.FirstName + ' ' + ISNULL(e.MiddleName, '') + ' ' + e.LastName
-- AS [Full Name], e.JobTitle
-- FROM Employees AS e
CREATE VIEW V_EmployeeNameJobTitle AS
SELECT FirstName + ' ' + ISNULL (MiddleName, '') + ' ' + LastName AS [Full Name], JobTitle
FROM Employees
--SELECT * FROM V_EmployeeNameJobTitle |
CREATE TABLE [ERP].[OrdenServicioReferencia] (
[ID] INT IDENTITY (1, 1) NOT NULL,
[IdOrdenServicio] INT NULL,
[IdReferenciaOrigen] INT NULL,
[IdReferencia] INT NULL,
[IdTipoComprobante] INT NULL,
[Serie] VARCHAR (20) NULL,
[Documento] VARCHAR (20) NULL,
[FlagInterno] BIT NULL,
PRIMARY KEY CLUSTERED ([ID] ASC),
CONSTRAINT [FK__OrdenServ__IdOrd__3104CC93] FOREIGN KEY ([IdOrdenServicio]) REFERENCES [ERP].[OrdenServicio] ([ID])
);
|
-- Created by Vertabelo (http://vertabelo.com)
-- Last modification date: 2020-05-26 16:24:26.209
-- tables
-- Table: alojamientos
CREATE TABLE unc_246364.alojamientos (
id_viajes integer NOT NULL,
id_alojamiento integer NOT NULL,
nombre varchar(40) NOT NULL,
ciudad varchar(40) NOT NULL,
fecha_inicio date NULL,
fecha_fin date NULL,
descripcion varchar(120) NULL,
contacto varchar(40) NULL,
cod_confirmacion varchar(20) NULL,
checkin varchar(20) NULL,
checkout varchar(20) NULL,
cant_noches int NULL,
cant_habitacion int NULL,
cant_pasajeros int NULL,
CONSTRAINT alojamientos_pkey PRIMARY KEY (id_viajes,id_alojamiento)
);
-- Table: viajes
CREATE TABLE unc_246364.viajes (
id_viajes integer NOT NULL,
nombre varchar(20) NOT NULL,
origen character varying(40) NOT NULL,
destino character varying(40) NOT NULL,
fecha_inicio date NULL,
fecha_fin date NULL,
descripcion varchar(180) NULL,
CONSTRAINT viajes_pkey PRIMARY KEY (id_viajes)
);
-- foreign keys
-- Reference: alojamientos_viajes (table: alojamientos)
ALTER TABLE unc_246364.alojamientos ADD CONSTRAINT alojamientos_viajes
FOREIGN KEY (id_viajes)
REFERENCES unc_246364.viajes (id_viajes)
NOT DEFERRABLE
INITIALLY IMMEDIATE
;
-- sequences
-- Sequence: unc_246364.alojamientos_id_alojamiento_seq
CREATE SEQUENCE "unc_246364.alojamientos_id_alojamiento_seq"
NO MINVALUE
NO MAXVALUE
NO CYCLE
;
-- Sequence: unc_246364.alojamientos_id_viajes_seq
CREATE SEQUENCE "unc_246364.alojamientos_id_viajes_seq"
NO MINVALUE
NO MAXVALUE
NO CYCLE
;
-- End of file.
|
-- phpMyAdmin SQL Dump
-- version 4.8.0
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jun 02, 2018 at 03:38 PM
-- Server version: 10.1.31-MariaDB
-- PHP Version: 5.6.35
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: `hbfnidhi`
--
-- --------------------------------------------------------
--
-- Table structure for table `tbl_lockers`
--
CREATE TABLE `tbl_lockers` (
`locker_id` int(10) NOT NULL,
`locker_name` varchar(52) NOT NULL,
`locker_mobile` varchar(11) NOT NULL,
`locker_email` varchar(80) NOT NULL,
`locker_city` varchar(100) NOT NULL,
`locker_message` text NOT NULL,
`status` int(10) NOT NULL,
`date` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tbl_lockers`
--
INSERT INTO `tbl_lockers` (`locker_id`, `locker_name`, `locker_mobile`, `locker_email`, `locker_city`, `locker_message`, `status`, `date`) VALUES
(1, 'Neeraj', '1234567890', 'neeraj@gmail.com', 'Noida', '<p>Lockers Check</p>', 1, '2018-06-02 09:06:03'),
(2, 'Shivam Kumar Vishwakarma', '0987654321', 'vishwakarma@gmail.com', 'Merut', '<p>Checking Again Again</p>', 1, '2018-06-02 09:25:00');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tbl_lockers`
--
ALTER TABLE `tbl_lockers`
ADD PRIMARY KEY (`locker_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `tbl_lockers`
--
ALTER TABLE `tbl_lockers`
MODIFY `locker_id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
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 */;
|
-- Type: task_status
-- DROP TYPE public.task_status;
CREATE TYPE public.task_status AS ENUM
('NEW', 'WORKING', 'CANCELLED', 'FINISHED', 'OVERDUE');
ALTER TYPE public.task_status
OWNER TO postgres;
-- Table: public.task
-- DROP TABLE public.task;
CREATE TABLE public.task
(
id_ integer NOT NULL DEFAULT nextval('task_id__seq'::regclass),
name character varying(100) COLLATE pg_catalog."default" NOT NULL,
description character varying(255) COLLATE pg_catalog."default",
status task_status NOT NULL,
duedate timestamp without time zone,
CONSTRAINT task_pkey PRIMARY KEY (id_)
)
WITH (
OIDS = FALSE
)
TABLESPACE pg_default;
ALTER TABLE public.task
OWNER to postgres; |
SELECT pg_terminate_backend(pid)
FROM pg_stat_activity
WHERE datname = 'siapnet'
AND pid <> pg_backend_pid()
AND state in ('idle', 'idle in transaction', 'idle in transaction (aborted)', 'disabled')
AND state_change < current_timestamp - INTERVAL '1' MINUTE;
SELECT
pg_terminate_backend(pid)
FROM
pg_stat_activity
WHERE
-- don't kill my own connection!
pid <> pg_backend_pid()
-- don't kill the connections to other databases
AND datname = 'siapnet';
|
-- liquibase formatted sql
-- changeset prod_1.ci_cd:v3.1
-- rollback drop tabel person_cicd2_t1
create or replace table person_cicd2_t1 (
id_a int primary key,
name varchar(50) not null,
address1 varchar(50),
address2 varchar(50),
city_a varchar(30)
)
-- changeset prod_1.ci_cd:v3.2
-- rollback drop tabel company_cicd2_t1
create or replace table company_cicd2_t1 (
id_a int primary key,
name varchar(50) not null,
address1 varchar(50),
address2 varchar(50),
city_a varchar(30)
)
|
----------------------------
-- INSERT DATA STATEMENTS --
----------------------------
COPY Customer (
id,
fname,
lname,
gtype,
dob,
address,
phone,
zipcode
)
FROM 'customer.csv'
WITH DELIMITER ',';
COPY Pilot (
id,
fullname,
nationality
)
FROM 'pilots.csv'
WITH DELIMITER ',';
COPY Plane (
id,
make,
model,
age,
seats
)
FROM 'planes.csv'
WITH DELIMITER ',';
COPY Technician (
id,
full_name
)
FROM 'technician.csv'
WITH DELIMITER ',';
COPY Flight (
fnum,
cost,
num_sold,
num_stops,
actual_departure_date,
actual_arrival_date,
arrival_airport,
departure_airport
)
FROM 'flights.csv'
WITH DELIMITER ',';
COPY Reservation (
rnum,
cid,
fid,
status
)
FROM 'reservation.csv'
WITH DELIMITER ',';
COPY FlightInfo (
fiid,
flight_id,
pilot_id,
plane_id
)
FROM 'flightinfo.csv'
WITH DELIMITER ',';
COPY Repairs (
rid,
repair_date,
repair_code,
pilot_id,
plane_id,
technician_id
)
FROM 'repairs.csv'
WITH DELIMITER ',';
COPY Schedule (
id,
flightNum,
departure_time,
arrival_time
)
FROM 'schedule.csv'
WITH DELIMITER ',';
|
-- 1a
select first_name, last_name from actor;
-- 1b
select concat(first_name, ', ' , last_name) as Actor_Name from actor;
-- 2a
select actor_id, first_name, last_name from actor
where first_name = 'Joe';
-- 2B
select * from actor
where last_name like "%GEN%";
-- 2C
select * from actor
where last_name like "%LI%"
order by last_name, first_name;
-- 2d
select country_id, country from country
where country in ('Afghanistan', 'Bangladesh', 'China');
-- 3a
ALTER TABLE actor
ADD COLUMN Description blob AFTER last_update ;
-- 3b
ALTER TABLE actor
DROP COLUMN Description;
-- 4a
select last_name, count(last_name) number_of_actors
from actor
group by 1
order by 2 desc;
-- 4b
select * from (
select last_name, count(last_name) as number_of_actors
from actor
group by last_name) t where number_of_actors >= 2 order by 2;
-- 4c
update
actor
set
first_name = 'HARPO'
Where
first_name = 'GROUCHO' and last_name = 'WILLIAMS';
-- 4d
update
actor
set
first_name = 'GROUCHO'
Where
first_name = 'HARPO' and last_name = 'WILLIAMS';
-- 5a
show create table address;
-- 6a
select s.first_name, s.last_name, a.address
from staff s
join address a on s.address_id = a.address_id;
-- 6b
select t1.first_name, t1.last_name, t1.year_and_month, sum(t1.amount) as total_amount
from(
select s.first_name, s.last_name, p.amount, extract(year_month from p.payment_date) as year_and_month
from payment p
left join staff s on p.staff_id = s.staff_id) t1
where year_and_month = '200508'
group by 1,2,3;
-- 6c
select f.title, count(fa.actor_id) as number_of_actors
from film f
join film_actor fa on f.film_id = fa.film_id
group by 1
order by 2 desc;
-- 6d
select f.title, count(*) as total_number_of_copies
from inventory i
left join film f on i.film_id = f.film_id
where f.title = 'Hunchback Impossible'
group by 1;
-- 6e
select p.customer_id, c.last_name, c.first_name, sum(p.amount) as total_paid
from payment p
left join customer c on p.customer_id = c.customer_id
group by 1,2,3
order by 2;
-- 7a
select f.title, l.name
from film f
left join language l on l.language_id = f.language_id
where l.name = 'English' and f.title like "K%" or f.title like "Q%" ;
-- 7b
select a.first_name, a.last_name
from
(select fa.actor_id from film_actor fa
where film_id =
(select f.film_id from film f where f.title = 'Alone Trip')) t
join actor a on t.actor_id = a.actor_id;
-- using join to do it
select f.title, a.first_name, a.last_name
from film f
join film_actor fa on f.film_id = fa.film_id
join actor a on fa.actor_id = a.actor_id
where f.title = 'Alone Trip';
-- 7c
select c.first_name, c.last_name, c.email, co.country
from customer c
left join address a on a.address_id = c.address_id
left join city ci on ci.city_id = a.city_id
left join country co on co. country_id = ci.country_id
where co.country = 'Canada';
-- 7d
select f.title, c.name
from film f
join film_category fc on fc.film_id = f.film_id
join category c on c.category_id = fc.category_id
where c.name = 'family';
-- 7e
select f.title, count(*)
from rental r
left join inventory i on i.inventory_id = r.inventory_id
left join film f on f.film_id = i.film_id
group by 1
order by 2 desc;
-- 7f
select s.store_id, sum(p.amount) as total_sales
from payment p
join staff s on s.staff_id = p.staff_id
group by 1;
-- 7g
select s.store_id, ci.city, co.country
from store s
left join address a on a.address_id = s.address_id
left join city ci on ci.city_id = a.city_id
left join country co on co. country_id = ci.country_id;
-- 7h
select c.name, sum(p.amount)as gross_revenue
from payment p
left join rental r on r.rental_id = p.rental_id
left join inventory i on i.inventory_id = r.inventory_id
left join film_category f on f.film_id = i.film_id
left join category c on c.category_id = f.category_id
group by 1
order by 2 desc
limit 5;
-- 8a
CREATE VIEW `Top_five_genres_in_gross_revenue` AS
select c.name, sum(p.amount)as gross_revenue
from payment p
left join rental r on r.rental_id = p.rental_id
left join inventory i on i.inventory_id = r.inventory_id
left join film_category f on f.film_id = i.film_id
left join category c on c.category_id = f.category_id
group by 1
order by 2 desc
limit 5;
-- 8b
select * from top_five_genres_in_gross_revenue;
-- 8c
DROP VIEW top_five_genres_in_gross_revenue
|
DROP TABLE IF EXISTS users;
DROP TABLE IF EXISTS entries;
CREATE TABLE users (
user_id TEXT UNIQUE,
max_cal INTEGER,
timezone INTEGER,
name TEXT
);
CREATE TABLE entries (
fuser_id TEXT UNIQUE,
time BIGINT,
item TEXT,
calories INTEGER
); |
-- phpMyAdmin SQL Dump
-- version 4.7.9
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1:3306
-- Generation Time: Dec 15, 2019 at 05:14 AM
-- Server version: 5.7.21
-- PHP Version: 7.2.4
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: `rstm`
--
-- --------------------------------------------------------
--
-- Table structure for table `cart`
--
DROP TABLE IF EXISTS `cart`;
CREATE TABLE IF NOT EXISTS `cart` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`order_id` varchar(20) NOT NULL,
`product_id` int(11) NOT NULL,
`quantity` int(11) NOT NULL,
`delivered` int(5) NOT NULL,
`p_time` int(5) NOT NULL DEFAULT '20',
`date` datetime NOT NULL,
`price` double NOT NULL,
`mode` set('Dine-in','Delivery') NOT NULL DEFAULT 'Dine-in',
`customer_id` int(11) NOT NULL,
`table_no` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=57 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `cart`
--
INSERT INTO `cart` (`id`, `order_id`, `product_id`, `quantity`, `delivered`, `p_time`, `date`, `price`, `mode`, `customer_id`, `table_no`) VALUES
(36, '0NRE-D802T8-3V8', 23, 1, 0, 20, '2019-12-04 00:12:04', 300, 'Dine-in', 0, 10),
(35, '0NRE-D802T8-3V8', 2, 1, 0, 20, '2019-12-04 00:12:04', 199, 'Dine-in', 0, 10),
(32, '6UW0-22F8SN-R50', 1, 1, 0, 20, '2019-12-04 00:01:04', 125, 'Dine-in', 0, 1),
(33, '0NRE-D802T8-3V8', 4, 1, 0, 20, '2019-12-04 00:12:04', 125, 'Dine-in', 0, 10),
(34, '0NRE-D802T8-3V8', 5, 1, 0, 20, '2019-12-04 00:12:04', 199, 'Dine-in', 0, 10),
(25, '0NRE-D802T8-3V8', 1, 2, 0, 20, '2019-12-03 22:52:52', 125, 'Dine-in', 14, 2),
(39, '8GC5-H6E7G6-1ZR', 15, 1, 0, 20, '2019-12-06 13:17:15', 210, 'Dine-in', 0, 6),
(38, 'G08S-6S12J5-V6E', 1, 1, 0, 20, '2019-12-04 02:07:39', 125, 'Dine-in', 0, 1),
(37, '6B4E-1J18NV-3X3', 1, 2, 0, 20, '2019-12-04 02:07:16', 125, 'Dine-in', 0, 6);
-- --------------------------------------------------------
--
-- Table structure for table `category`
--
DROP TABLE IF EXISTS `category`;
CREATE TABLE IF NOT EXISTS `category` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`category` varchar(50) NOT NULL,
`slug` varchar(55) NOT NULL,
`active` tinyint(1) NOT NULL,
`parent` int(11) NOT NULL,
`date` datetime NOT NULL,
`update_date` datetime NOT NULL,
`deleted` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `category`
--
INSERT INTO `category` (`id`, `category`, `slug`, `active`, `parent`, `date`, `update_date`, `deleted`) VALUES
(1, 'VEGGIE DELIGHT', 'delight', 1, 0, '2019-10-01 19:07:04', '0000-00-00 00:00:00', 0),
(2, 'VEGGIE TREAT', 'treat', 1, 0, '2019-10-01 19:08:16', '0000-00-00 00:00:00', 0),
(3, 'VEG FEAST PIZZA', 'veg_feast_pizza', 1, 0, '2019-10-01 19:08:24', '0000-00-00 00:00:00', 0),
(4, 'PIZZA COMBOT SET', 'pizza_combo_set', 1, 0, '2019-10-01 19:08:51', '0000-00-00 00:00:00', 0),
(5, 'XYZ', 'xyz', 1, 0, '2019-12-14 19:48:48', '0000-00-00 00:00:00', 0);
-- --------------------------------------------------------
--
-- Table structure for table `combo`
--
DROP TABLE IF EXISTS `combo`;
CREATE TABLE IF NOT EXISTS `combo` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(25) NOT NULL,
`slug` varchar(25) NOT NULL,
`items` varchar(100) NOT NULL,
`price` double NOT NULL,
`offer` double NOT NULL,
`tax` varchar(100) NOT NULL,
`date` datetime NOT NULL,
`activation_date` datetime NOT NULL,
`expiry_date` datetime NOT NULL,
`active` tinyint(1) NOT NULL DEFAULT '1',
`discountable` tinyint(1) NOT NULL DEFAULT '0',
`discount` int(11) NOT NULL,
`sale` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `combo`
--
INSERT INTO `combo` (`id`, `name`, `slug`, `items`, `price`, `offer`, `tax`, `date`, `activation_date`, `expiry_date`, `active`, `discountable`, `discount`, `sale`) VALUES
(1, 'Hot Pizza', 'hotpizza', '', 220, 210, '1 2', '2019-12-15 08:45:34', '2019-12-15 00:00:00', '2019-12-17 00:00:00', 1, 1, 1, 0),
(2, 'Great Combo', 'greatcombo', '', 440, 410, '1 2', '2019-12-15 08:46:23', '2019-12-15 00:00:00', '2019-12-17 23:00:00', 1, 1, 2, 0),
(3, 'Final Combo', 'finalcombo', '', 550, 520, '1 2', '2019-12-15 08:47:58', '2019-12-15 00:00:00', '2019-12-20 23:59:59', 1, 1, 2, 0);
-- --------------------------------------------------------
--
-- Table structure for table `combo_items`
--
DROP TABLE IF EXISTS `combo_items`;
CREATE TABLE IF NOT EXISTS `combo_items` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`combo_id` int(11) NOT NULL,
`product_id` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `customer_details`
--
DROP TABLE IF EXISTS `customer_details`;
CREATE TABLE IF NOT EXISTS `customer_details` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`mobile` varchar(11) NOT NULL,
`address` varchar(250) NOT NULL,
`wallet` int(11) NOT NULL,
`date` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=16 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `customer_details`
--
INSERT INTO `customer_details` (`id`, `name`, `mobile`, `address`, `wallet`, `date`) VALUES
(1, 'Alpha', '08318340095', '', 0, '2019-11-27 20:41:38'),
(2, 'Ravi Kant', '09695090904', '', 0, '2019-11-27 20:44:27'),
(3, 'Ravi Kant D.cdd ds', '7388418366', '', 0, '2019-11-27 20:50:44'),
(4, 'Bindeshwari Singh D. sss', '8318340096', '', 0, '2019-11-27 20:59:32'),
(5, 'Joseph', '8765944208', '', 0, '2019-11-28 10:15:34'),
(6, 'Alpha G', '1234567891', '', 0, '2019-11-28 10:23:28'),
(7, 'Bindeshwari Singh D. sss', '08318340096', '', 0, '2019-11-28 14:32:28'),
(8, 'Alpha Roger', '8529637410', '', 0, '2019-11-29 18:25:54'),
(9, 'roger', '9876543210', '', 0, '2019-11-29 19:20:55'),
(10, 'adasjdlj', '8529330120', '', 0, '2019-11-29 20:20:18'),
(11, 'ALOK PANDEY', '09140922631', '', 0, '2019-11-30 09:25:08'),
(12, 'alok', '9876543211', '', 0, '2019-12-01 09:23:15'),
(13, 'Laxman prasad kharwar Hemlata kharwar', '8932003481', '', 0, '2019-12-03 12:24:47'),
(14, 'suresh', '9918475609', '', 0, '2019-12-03 22:53:21'),
(15, 'Ravi Kant D. singh', '07388418366', '', 0, '2019-12-14 14:21:43');
-- --------------------------------------------------------
--
-- Table structure for table `daily_expense`
--
DROP TABLE IF EXISTS `daily_expense`;
CREATE TABLE IF NOT EXISTS `daily_expense` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`expense` varchar(50) NOT NULL,
`amount` double NOT NULL,
`date` datetime NOT NULL,
`user_id` varchar(3) NOT NULL,
`deleted` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `daily_expense`
--
INSERT INTO `daily_expense` (`id`, `expense`, `amount`, `date`, `user_id`, `deleted`) VALUES
(1, 'paneer', 460, '2019-11-24 07:25:21', '2', 0),
(2, 'paneer', 452, '2019-12-02 10:12:05', '1', 0),
(3, 'alpha', 520, '2019-12-04 00:31:06', '2', 0);
-- --------------------------------------------------------
--
-- Table structure for table `discounts`
--
DROP TABLE IF EXISTS `discounts`;
CREATE TABLE IF NOT EXISTS `discounts` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(55) NOT NULL,
`rate` float NOT NULL,
`type` enum('Flat','Percentage') NOT NULL DEFAULT 'Percentage',
`criteria` enum('Flat','MCV') NOT NULL DEFAULT 'Flat',
`cart_value` float NOT NULL,
`active_date` datetime NOT NULL,
`expire_date` datetime NOT NULL,
`date` datetime NOT NULL,
`update_date` datetime NOT NULL,
`active` tinyint(1) NOT NULL DEFAULT '1',
`deleted` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `discounts`
--
INSERT INTO `discounts` (`id`, `name`, `rate`, `type`, `criteria`, `cart_value`, `active_date`, `expire_date`, `date`, `update_date`, `active`, `deleted`) VALUES
(1, 'Diwali Discount', 10, 'Percentage', 'MCV', 199, '2019-10-05 00:00:00', '2019-12-17 23:59:59', '2019-10-01 14:05:35', '0000-00-00 00:00:00', 1, 0),
(2, 'Dasahara', 150, 'Flat', 'MCV', 550, '2019-10-02 00:00:00', '2019-12-16 23:00:00', '2019-10-01 14:08:06', '0000-00-00 00:00:00', 1, 0);
-- --------------------------------------------------------
--
-- Table structure for table `member_code`
--
DROP TABLE IF EXISTS `member_code`;
CREATE TABLE IF NOT EXISTS `member_code` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`member_id` varchar(4) NOT NULL,
`code` text NOT NULL,
`used` tinyint(1) NOT NULL,
`use_date` datetime NOT NULL,
`user_id` int(4) NOT NULL,
`value` varchar(8) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=21 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `member_code`
--
INSERT INTO `member_code` (`id`, `member_id`, `code`, `used`, `use_date`, `user_id`, `value`) VALUES
(1, 'm1', '$2y$10$YE9vFDLlCg8uJIQGnpII5OdG2/S/xBdwgFDgmNvZsUOmXmYn2Wkge', 0, '0000-00-00 00:00:00', 0, 'WFBEV080'),
(2, 'm1', '$2y$10$CWXcn8purc33n/Sd6rUzuuYR0SnjBrj4kTCsVFLauZ5nqpIKDQcNy', 0, '0000-00-00 00:00:00', 0, 'RzUyQ0Y3'),
(3, 'm1', '$2y$10$oR/KO54UV5YLVeAmj7wm/OUoOG0PzquT4vM86HLIZQ14GDVtam69m', 0, '0000-00-00 00:00:00', 0, 'V0ZSTk9J'),
(4, 'm1', '$2y$10$Gk0m9gDMds1GXu4C6E8vNeeTBKYEUSo4sWcdmXZ9QLDZgDrorovD6', 0, '0000-00-00 00:00:00', 0, 'WEtXOFhU'),
(5, 'm1', '$2y$10$kV629arcGRLHz4nrvxAbgurDhzMQULR.kAmjkghSEJxF0b/1myEhG', 0, '0000-00-00 00:00:00', 0, 'SldBUDgx'),
(6, 'm1', '$2y$10$5tl3aCDR1KZH2DOt9LRbleMQRuk9yoZbdgZaPF3.iJMaqHRWYibdK', 0, '0000-00-00 00:00:00', 0, 'WjREU1VT'),
(7, 'm1', '$2y$10$p6EJ.Vlp575S2v71le7TT.vub8peMwOMjnB4Se4G5Ufa0Eyv4gk/S', 0, '0000-00-00 00:00:00', 0, 'M1dDS0FR'),
(8, 'm1', '$2y$10$mE.JdHEcyqNnWvZRDDR0Wey6ST27mJl7HdMk2K9jdEMRG5l3OGVTm', 0, '0000-00-00 00:00:00', 0, 'WFowQUhK'),
(9, 'm1', '$2y$10$ePfgmc0ZOP2.HFm1EoiVrOZ6zcfsDAUnljHUWcnkQLx0JTh4ANP6i', 0, '0000-00-00 00:00:00', 0, 'TDVPWkFN'),
(10, 'm1', '$2y$10$G0xsmHR9RSzGEKYXyjKHrOfOPmqdlOSngRn9w3f0CmwvDPRRQZ9le', 0, '0000-00-00 00:00:00', 0, 'T1VKODJW'),
(11, 'm1', '$2y$10$/u.zodNGC0fhg8K60FGgOeFjA7tEdDzKwd6kmdNAsxunQUjb2HsEi', 1, '0000-00-00 00:00:00', 0, 'UFUxUzBV'),
(12, 'm1', '$2y$10$9l2z3cvlRmmbSb8Yd0eubu31TNPFJeAxsU.KRpWFozWlwSsr2FYXe', 0, '0000-00-00 00:00:00', 0, 'NjNDTzE5'),
(13, 'm1', '$2y$10$wVO.ncLzT4hrK9x1SnzKJe1q7ZrfxaMaZAKmiO.69dbpo0z2NCyiq', 0, '0000-00-00 00:00:00', 0, 'R1MxNTBM'),
(14, 'm1', '$2y$10$FF7BjNJ6eaoj0TH8PJF4jOHJ6cxe4Pg3/p/zce.xE341pA7JWTeby', 1, '2019-10-29 12:42:23', 0, 'MVEzNDJE'),
(15, 'm1', '$2y$10$kTdcp7v0.svD02b02FEk8OUdX8isKr1jr.6iT2rzLUaFUzOmDtC9y', 0, '0000-00-00 00:00:00', 0, 'RzFXUVVX'),
(16, 'm1', '$2y$10$2faSMxU0kMcXQcc5RGw2iemvusQedBi3GOo7b.14WNQNxtSHbRJ8e', 0, '0000-00-00 00:00:00', 0, 'U1dENjNL'),
(17, 'm1', '$2y$10$aIVUD/gd/vnYZ/29DFqFTOyehRWW1UaMueHNxxxtk4MfazsuvUVh6', 0, '0000-00-00 00:00:00', 0, 'VDdFTlNG'),
(18, 'm1', '$2y$10$vo45.fuyhM4GMm1Whs8sZeh4R8Ejlk.8w1pQqfHlLknUWzoy4JCPq', 0, '0000-00-00 00:00:00', 0, 'WThWSEJV'),
(19, 'm1', '$2y$10$vnIhm2IAcARGcT6NyJz1vOAJJ00ksSb8iJBKzp7hwCX4ffiEvZJPq', 0, '0000-00-00 00:00:00', 0, 'WEFDN0U1'),
(20, 'm1', '$2y$10$KKC8nwHlwvIqne/BlWKaLu37/USB8noBcpLoxcPdm7ZaB454urCti', 0, '0000-00-00 00:00:00', 0, 'T0wzWjZF');
-- --------------------------------------------------------
--
-- Table structure for table `order_details`
--
DROP TABLE IF EXISTS `order_details`;
CREATE TABLE IF NOT EXISTS `order_details` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`order_id` varchar(25) NOT NULL,
`customer_id` int(11) NOT NULL,
`order_amount` double NOT NULL,
`order_discount` double NOT NULL,
`order_tax` double NOT NULL,
`order_total` double NOT NULL,
`order_rounded` double NOT NULL,
`date` datetime NOT NULL,
`user_id` int(11) NOT NULL,
`p_time` int(11) NOT NULL,
`token` int(11) NOT NULL,
`status` enum('0','1','2','3','4','5','6','7','8') NOT NULL DEFAULT '0',
`mode` set('Dine-In','Delivery') NOT NULL DEFAULT 'Dine-In',
`canceled` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=35 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `order_details`
--
INSERT INTO `order_details` (`id`, `order_id`, `customer_id`, `order_amount`, `order_discount`, `order_tax`, `order_total`, `order_rounded`, `date`, `user_id`, `p_time`, `token`, `status`, `mode`, `canceled`) VALUES
(1, 'KNNL-0ODJZ3-RKH', 0, 125, 0, 5.625, 130.625, 131, '2019-11-28 10:35:24', 2, 20, 1911280001, '2', '', 0),
(2, 'NTV5-5J6C6H-ADM', 3, 250, 0, 11.25, 261.25, 261, '2019-11-28 10:41:10', 2, 20, 1911280002, '2', 'Dine-In', 0),
(3, '1BHQ-48PR78-6IY', 1, 995, 0, 44.775, 1039.775, 1040, '2019-11-28 10:42:50', 2, 20, 1911280003, '1', 'Delivery', 1),
(4, 'GGBC-ULPZUF-WQC', 2, 324, 0, 14.58, 338.58, 339, '2019-11-28 11:10:46', 2, 20, 1911280004, '1', 'Dine-In', 0),
(5, 'UQD7-PZEBP5-G6Z', 7, 449, 0, 20.205, 469.205, 469, '2019-11-28 14:34:03', 2, 20, 1911280005, '1', 'Dine-In', 0),
(6, '8M88-E37EE0-EAF', 5, 460, 0, 20.7, 480.7, 481, '2019-11-29 18:24:55', 2, 20, 1911290001, '1', 'Dine-In', 0),
(7, 'XX0S-3EBG9H-7S9', 8, 523, 0, 23.535, 546.535, 547, '2019-11-29 18:26:07', 2, 20, 1911290002, '1', 'Dine-In', 0),
(8, 'B7EM-2QYISM-FU6', 9, 998, 0, 44.91, 1042.91, 1043, '2019-11-29 19:21:13', 2, 20, 1911290003, '1', 'Dine-In', 0),
(9, '28H9-B47GCE-3D9', 10, 4462, 0, 200.79, 4662.79, 4663, '2019-11-29 20:20:47', 2, 20, 1911290004, '1', 'Dine-In', 0),
(10, '46MD-KBAVHP-3X6', 11, 1620, 0, 72.9, 1692.9, 1693, '2019-11-30 09:26:06', 2, 20, 1911300001, '1', 'Dine-In', 0),
(11, '594N-M7N65G-DWA', 3, 1505, 0, 67.725, 1572.725, 1573, '2019-11-30 13:15:15', 2, 20, 1911300002, '1', 'Dine-In', 0),
(12, 'ERGV-3RC3RN-3TL', 4, 499, 0, 22.455, 521.455, 521, '2019-11-30 16:56:46', 2, 20, 1911300003, '1', 'Dine-In', 0),
(13, 'JZ60-I02AV7-1D4', 5, 375, 0, 16.875, 391.875, 392, '2019-11-30 20:00:11', 2, 20, 1911300004, '2', 'Dine-In', 0),
(14, '3V5N-RWVXKY-3QZ', 12, 385, 0, 17.325, 402.325, 402, '2019-12-01 09:25:17', 2, 20, 1912010001, '1', 'Dine-In', 0),
(15, 'UW6E-3AVS5W-TB5', 11, 1096, 0, 49.32, 1145.32, 1145, '2019-12-02 20:51:16', 2, 20, 1912020001, '1', 'Dine-In', 0),
(16, '9VGB-WT03IO-BJ8', 2, 250, 0, 11.25, 261.25, 261, '2019-12-03 13:25:39', 2, 20, 1912030001, '1', 'Dine-In', 0),
(17, '4UME-ABYGCY-SL1', 2, 324, 0, 14.58, 338.58, 339, '2019-12-03 13:32:45', 2, 20, 1912030002, '1', 'Dine-In', 1),
(18, 'PT70-ZVSPY1-GOG', 2, 972, 0, 43.74, 1015.74, 1016, '2019-12-03 13:39:06', 2, 20, 1912030003, '1', 'Delivery', 0),
(19, 'BDO1-7ZCC43-UKG', 13, 1947, 0, 87.615, 2034.615, 2035, '2019-12-03 13:42:28', 2, 20, 1912030004, '2', 'Dine-In', 0),
(20, 'LOG4-A5VREI-3XW', 11, 2092, 0, 94.14, 2186.14, 2186, '2019-12-03 13:45:13', 2, 20, 1912030005, '3', 'Dine-In', 0),
(21, 'M2TA-T1S2FZ-RPX', 2, 324, 0, 14.58, 338.58, 339, '2019-12-03 13:51:29', 2, 20, 1912030006, '3', 'Dine-In', 0),
(22, 'O90X-0P13LD-0AI', 1, 449, 0, 20.205, 469.205, 469, '2019-12-03 21:27:15', 2, 20, 1912030007, '3', 'Dine-In', 0),
(23, '0TS3-90DC3H-VUJ', 11, 1296, 0, 58.32, 1354.32, 1354, '2019-12-03 23:23:52', 2, 20, 1912030008, '3', 'Dine-In', 0),
(24, 'HKFF-CBO2T7-2TG', 11, 1097, 0, 49.365, 1146.365, 1146, '2019-12-03 23:29:14', 2, 20, 1912030009, '1', 'Dine-In', 0),
(25, 'Z2NB-UXA31M-AZW', 2, 624, 0, 28.08, 652.08, 652, '2019-12-03 23:56:48', 2, 20, 1912030010, '3', 'Dine-In', 0),
(26, 'N3FW-RCX46L-0NJ', 2, 250, 0, 10.125, 235.125, 235, '2019-12-14 14:18:12', 2, 20, 1912140001, '1', 'Dine-In', 0),
(27, 'KTXO-WSN4XU-XIO', 15, 750, 0, 30.375, 705.375, 705, '2019-12-14 14:22:03', 2, 20, 1912140002, '1', 'Dine-In', 0),
(28, '4MBN-EUZJTY-20J', 1, 898, 50, 38.16, 886.16, 886, '2019-12-14 14:25:34', 2, 20, 1912140003, '1', 'Dine-In', 0),
(29, '60X6-9GR1WY-VAQ', 1, 240, 24, 9.72, 225.72, 226, '2019-12-14 19:00:50', 2, 20, 1912140004, '1', 'Dine-In', 0),
(30, 'LX35-LKODPI-PLO', 1, 319, 12, 13.815, 320.815, 321, '2019-12-14 19:28:02', 2, 20, 1912140005, '1', 'Dine-In', 0),
(31, 'E0ZD-2TPQ0Q-51S', 1, 439, 24, 18.675, 433.675, 434, '2019-12-14 19:29:53', 2, 25, 1912140006, '1', 'Dine-In', 0),
(32, '2U9K-0RHOVI-DH1', 15, 240, 24, 9.72, 225.72, 226, '2019-12-14 20:00:16', 2, 25, 1912140007, '1', 'Dine-In', 0),
(33, '718Q-HEG0OC-9JR', 1, 518, 0, 23.31, 541.31, 541, '2019-12-15 07:31:49', 2, 20, 1912150001, '1', 'Dine-In', 0),
(34, 'NH6N-VT6QXH-8BD', 1, 564, 36.5, 23.7375, 551.2375, 551, '2019-12-15 07:35:20', 2, 20, 1912150002, '1', 'Dine-In', 0);
-- --------------------------------------------------------
--
-- Table structure for table `order_items`
--
DROP TABLE IF EXISTS `order_items`;
CREATE TABLE IF NOT EXISTS `order_items` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`order_id` varchar(25) NOT NULL,
`customer_id` int(11) NOT NULL,
`date` datetime NOT NULL,
`item_id` int(5) NOT NULL,
`item_name` varchar(50) NOT NULL,
`item_price` double NOT NULL,
`item_qty` int(11) NOT NULL,
`item_subTotal` double NOT NULL,
`item_tax` double NOT NULL,
`item_discount` double NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=90 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `order_items`
--
INSERT INTO `order_items` (`id`, `order_id`, `customer_id`, `date`, `item_id`, `item_name`, `item_price`, `item_qty`, `item_subTotal`, `item_tax`, `item_discount`) VALUES
(1, 'KNNL-0ODJZ3-RKH', 0, '2019-11-28 10:35:24', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(2, 'NTV5-5J6C6H-ADM', 0, '2019-11-28 10:41:10', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(3, 'NTV5-5J6C6H-ADM', 0, '2019-11-28 10:41:10', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 1, 125, 5.625, 0),
(4, '1BHQ-48PR78-6IY', 0, '2019-11-28 10:42:50', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 5, 995, 44.775, 0),
(5, 'GGBC-ULPZUF-WQC', 0, '2019-11-28 11:10:46', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(6, 'GGBC-ULPZUF-WQC', 0, '2019-11-28 11:10:46', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(7, 'UQD7-PZEBP5-G6Z', 0, '2019-11-28 14:34:03', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(8, 'UQD7-PZEBP5-G6Z', 0, '2019-11-28 14:34:03', 1, 'CHEESE & CORN REG', 125, 2, 250, 11.25, 0),
(9, '8M88-E37EE0-EAF', 0, '2019-11-29 18:24:55', 17, 'PAPPY PANEER LAR', 460, 1, 460, 20.7, 0),
(10, 'XX0S-3EBG9H-7S9', 0, '2019-11-29 18:26:07', 2, 'CHEESE & CORN MED', 199, 2, 398, 17.91, 0),
(11, 'XX0S-3EBG9H-7S9', 0, '2019-11-29 18:26:07', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(12, 'B7EM-2QYISM-FU6', 0, '2019-11-29 19:21:13', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(13, 'B7EM-2QYISM-FU6', 0, '2019-11-29 19:21:13', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 1, 199, 8.955, 0),
(14, 'B7EM-2QYISM-FU6', 0, '2019-11-29 19:21:13', 3, 'CHEESE & CORN LAR', 300, 1, 300, 13.5, 0),
(15, 'B7EM-2QYISM-FU6', 0, '2019-11-29 19:21:13', 6, 'DOUBLE CHEESE MARGHERITA LAR', 300, 1, 300, 13.5, 0),
(16, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 2, 250, 11.25, 0),
(17, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 3, 'CHEESE & CORN LAR', 300, 2, 600, 27, 0),
(18, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(19, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(20, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 2, 398, 17.91, 0),
(21, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 6, 'DOUBLE CHEESE MARGHERITA LAR', 300, 1, 300, 13.5, 0),
(22, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 14, 'FARMHOUSE LAR', 350, 2, 700, 31.5, 0),
(23, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 13, 'FARMHOUSE MED', 250, 1, 250, 11.25, 0),
(24, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 17, 'PAPPY PANEER LAR', 460, 1, 460, 20.7, 0),
(25, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 16, 'PAPPY PANEER MED', 310, 2, 620, 27.9, 0),
(26, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 7, 'ONION SINGLE', 70, 2, 140, 6.3, 0),
(27, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 8, 'CAPSICUM SINGLE', 70, 2, 140, 6.3, 0),
(28, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 9, 'TOMATO SINGLE', 70, 2, 140, 6.3, 0),
(29, '28H9-B47GCE-3D9', 0, '2019-11-29 20:20:47', 10, 'GOLDEN CORN SINGLE', 70, 2, 140, 6.3, 0),
(30, '46MD-KBAVHP-3X6', 0, '2019-11-30 09:26:06', 16, 'PAPPY PANEER MED', 310, 1, 310, 13.95, 0),
(31, '46MD-KBAVHP-3X6', 0, '2019-11-30 09:26:06', 15, 'PAPPY PANEER REG', 210, 1, 210, 9.45, 0),
(32, '46MD-KBAVHP-3X6', 0, '2019-11-30 09:26:06', 14, 'FARMHOUSE LAR', 350, 1, 350, 15.75, 0),
(33, '46MD-KBAVHP-3X6', 0, '2019-11-30 09:26:06', 13, 'FARMHOUSE MED', 250, 3, 750, 33.75, 0),
(34, '594N-M7N65G-DWA', 0, '2019-11-30 13:15:15', 17, 'PAPPY PANEER LAR', 460, 3, 1380, 62.1, 0),
(35, '594N-M7N65G-DWA', 0, '2019-11-30 13:15:15', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(36, 'ERGV-3RC3RN-3TL', 0, '2019-11-30 16:56:47', 3, 'CHEESE & CORN LAR', 300, 1, 300, 13.5, 0),
(37, 'ERGV-3RC3RN-3TL', 0, '2019-11-30 16:56:47', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(38, 'JZ60-I02AV7-1D4', 0, '2019-11-30 20:00:11', 1, 'CHEESE & CORN REG', 125, 3, 375, 16.875, 0),
(39, '3V5N-RWVXKY-3QZ', 0, '2019-12-01 09:25:17', 12, 'FARMHOUSE REG', 175, 1, 175, 7.875, 0),
(40, '3V5N-RWVXKY-3QZ', 0, '2019-12-01 09:25:17', 8, 'CAPSICUM SINGLE', 70, 1, 70, 3.15, 0),
(41, '3V5N-RWVXKY-3QZ', 0, '2019-12-01 09:25:17', 7, 'ONION SINGLE', 70, 2, 140, 6.3, 0),
(42, 'UW6E-3AVS5W-TB5', 0, '2019-12-02 20:51:16', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 2, 398, 17.91, 0),
(43, 'UW6E-3AVS5W-TB5', 0, '2019-12-02 20:51:16', 2, 'CHEESE & CORN MED', 199, 2, 398, 17.91, 0),
(44, 'UW6E-3AVS5W-TB5', 0, '2019-12-02 20:51:16', 3, 'CHEESE & CORN LAR', 300, 1, 300, 13.5, 0),
(45, '9VGB-WT03IO-BJ8', 0, '2019-12-03 13:25:39', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 1, 125, 5.625, 0),
(46, '9VGB-WT03IO-BJ8', 0, '2019-12-03 13:25:39', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(47, '4UME-ABYGCY-SL1', 0, '2019-12-03 13:32:45', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(48, '4UME-ABYGCY-SL1', 0, '2019-12-03 13:32:45', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(49, 'PT70-ZVSPY1-GOG', 0, '2019-12-03 13:39:06', 1, 'CHEESE & CORN REG', 125, 3, 375, 16.875, 0),
(50, 'PT70-ZVSPY1-GOG', 0, '2019-12-03 13:39:06', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(51, 'PT70-ZVSPY1-GOG', 0, '2019-12-03 13:39:06', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 2, 398, 17.91, 0),
(52, 'BDO1-7ZCC43-UKG', 0, '2019-12-03 13:42:28', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 1, 125, 5.625, 0),
(53, 'BDO1-7ZCC43-UKG', 0, '2019-12-03 13:42:28', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 3, 597, 26.865, 0),
(54, 'BDO1-7ZCC43-UKG', 0, '2019-12-03 13:42:28', 6, 'DOUBLE CHEESE MARGHERITA LAR', 300, 2, 600, 27, 0),
(55, 'BDO1-7ZCC43-UKG', 0, '2019-12-03 13:42:28', 1, 'CHEESE & CORN REG', 125, 5, 625, 28.125, 0),
(56, 'LOG4-A5VREI-3XW', 0, '2019-12-03 13:45:13', 2, 'CHEESE & CORN MED', 199, 8, 1592, 71.64, 0),
(57, 'LOG4-A5VREI-3XW', 0, '2019-12-03 13:45:13', 1, 'CHEESE & CORN REG', 125, 2, 250, 11.25, 0),
(58, 'LOG4-A5VREI-3XW', 0, '2019-12-03 13:45:13', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 2, 250, 11.25, 0),
(59, 'M2TA-T1S2FZ-RPX', 0, '2019-12-03 13:51:29', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(60, 'M2TA-T1S2FZ-RPX', 0, '2019-12-03 13:51:29', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(61, 'O90X-0P13LD-0AI', 0, '2019-12-03 21:27:15', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(62, 'O90X-0P13LD-0AI', 0, '2019-12-03 21:27:15', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(63, 'O90X-0P13LD-0AI', 0, '2019-12-03 21:27:15', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 1, 125, 5.625, 0),
(64, '0TS3-90DC3H-VUJ', 0, '2019-12-03 23:23:52', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 2, 398, 17.91, 0),
(65, '0TS3-90DC3H-VUJ', 0, '2019-12-03 23:23:52', 1, 'CHEESE & CORN REG', 125, 4, 500, 22.5, 0),
(66, '0TS3-90DC3H-VUJ', 0, '2019-12-03 23:23:52', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(67, '0TS3-90DC3H-VUJ', 0, '2019-12-03 23:23:52', 19, 'FRIESH VEGGIE MED', 199, 1, 199, 8.955, 0),
(68, 'HKFF-CBO2T7-2TG', 0, '2019-12-03 23:29:14', 1, 'CHEESE & CORN REG', 125, 4, 500, 22.5, 0),
(69, 'HKFF-CBO2T7-2TG', 0, '2019-12-03 23:29:14', 2, 'CHEESE & CORN MED', 199, 3, 597, 26.865, 0),
(70, 'Z2NB-UXA31M-AZW', 0, '2019-12-03 23:56:48', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(71, 'Z2NB-UXA31M-AZW', 0, '2019-12-03 23:56:48', 12, 'FARMHOUSE REG', 175, 1, 175, 7.875, 0),
(72, 'Z2NB-UXA31M-AZW', 0, '2019-12-03 23:56:48', 1, 'CHEESE & CORN REG', 125, 2, 250, 11.25, 0),
(73, 'N3FW-RCX46L-0NJ', 0, '2019-12-14 14:18:12', 1, 'CHEESE & CORN REG', 125, 1, 125, 5.625, 0),
(74, 'N3FW-RCX46L-0NJ', 0, '2019-12-14 14:18:12', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 1, 125, 5.625, 0),
(75, 'KTXO-WSN4XU-XIO', 0, '2019-12-14 14:22:03', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 4, 500, 22.5, 0),
(76, 'KTXO-WSN4XU-XIO', 0, '2019-12-14 14:22:03', 1, 'CHEESE & CORN REG', 125, 2, 250, 11.25, 0),
(77, '4MBN-EUZJTY-20J', 0, '2019-12-14 14:25:34', 5, 'DOUBLE CHEESE MARGHERITA MED', 199, 2, 398, 17.91, 0),
(78, '4MBN-EUZJTY-20J', 0, '2019-12-14 14:25:34', 1, 'CHEESE & CORN REG', 125, 4, 500, 22.5, 0),
(79, '60X6-9GR1WY-VAQ', 0, '2019-12-14 19:00:50', 1, 'CHEESE amp; CORN REG', 120, 2, 240, 10.8, 0),
(80, 'LX35-LKODPI-PLO', 0, '2019-12-14 19:28:02', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(81, 'LX35-LKODPI-PLO', 0, '2019-12-14 19:28:02', 1, 'CHEESE amp; CORN REG', 120, 1, 120, 5.4, 0),
(82, 'E0ZD-2TPQ0Q-51S', 0, '2019-12-14 19:29:53', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(83, 'E0ZD-2TPQ0Q-51S', 0, '2019-12-14 19:29:53', 1, 'CHEESE amp; CORN REG', 120, 2, 240, 10.8, 24),
(84, '2U9K-0RHOVI-DH1', 0, '2019-12-14 20:00:16', 1, 'CHEESE & CORN REG', 120, 2, 240, 10.8, 24),
(85, '718Q-HEG0OC-9JR', 0, '2019-12-15 07:31:49', 2, 'CHEESE & CORN MED', 199, 2, 398, 17.91, 0),
(86, '718Q-HEG0OC-9JR', 0, '2019-12-15 07:31:49', 1, 'CHEESE & CORN REG', 120, 1, 120, 5.4, 0),
(87, 'NH6N-VT6QXH-8BD', 0, '2019-12-15 07:35:20', 2, 'CHEESE & CORN MED', 199, 1, 199, 8.955, 0),
(88, 'NH6N-VT6QXH-8BD', 0, '2019-12-15 07:35:20', 1, 'CHEESE & CORN REG', 120, 2, 240, 10.8, 24),
(89, 'NH6N-VT6QXH-8BD', 0, '2019-12-15 07:35:20', 4, 'DOUBLE CHEESE MARGHERITA REG', 125, 1, 125, 5.625, 12.5);
-- --------------------------------------------------------
--
-- Table structure for table `order_ledger`
--
DROP TABLE IF EXISTS `order_ledger`;
CREATE TABLE IF NOT EXISTS `order_ledger` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`order_id` varchar(25) NOT NULL,
`mode` varchar(25) NOT NULL,
`amount` double NOT NULL,
`customer_id` int(11) NOT NULL,
`date` datetime NOT NULL,
`refunded` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=49 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `order_ledger`
--
INSERT INTO `order_ledger` (`id`, `order_id`, `mode`, `amount`, `customer_id`, `date`, `refunded`) VALUES
(1, 'KNNL-0ODJZ3-RKH', 'cash', 131, 0, '2019-11-28 10:35:13', 0),
(2, 'NTV5-5J6C6H-ADM', 'cash', 261, 0, '2019-11-28 10:40:58', 0),
(3, '1BHQ-48PR78-6IY', 'member', 1040, 0, '2019-11-28 10:42:37', 0),
(4, 'GGBC-ULPZUF-WQC', 'cash', 339, 0, '2019-11-28 11:10:36', 0),
(5, 'UQD7-PZEBP5-G6Z', 'member', 469, 0, '2019-11-28 14:32:28', 0),
(6, '8M88-E37EE0-EAF', 'cash', 481, 0, '2019-11-29 18:24:13', 0),
(7, 'XX0S-3EBG9H-7S9', 'cash', 200, 0, '2019-11-29 18:25:54', 0),
(8, 'XX0S-3EBG9H-7S9', 'phonepe', 347, 0, '2019-11-29 18:25:54', 0),
(9, 'B7EM-2QYISM-FU6', 'cash', 343, 0, '2019-11-29 19:20:55', 0),
(10, 'B7EM-2QYISM-FU6', 'card', 200, 0, '2019-11-29 19:20:55', 0),
(11, 'B7EM-2QYISM-FU6', 'paytm', 500, 0, '2019-11-29 19:20:55', 0),
(12, '28H9-B47GCE-3D9', 'cash', 1000, 0, '2019-11-29 20:20:18', 0),
(13, '28H9-B47GCE-3D9', 'card', 1000, 0, '2019-11-29 20:20:18', 0),
(14, '28H9-B47GCE-3D9', 'paytm', 1000, 0, '2019-11-29 20:20:18', 0),
(15, '28H9-B47GCE-3D9', 'phonepe', 1000, 0, '2019-11-29 20:20:18', 0),
(16, '28H9-B47GCE-3D9', 'bhim', 500, 0, '2019-11-29 20:20:18', 0),
(17, '28H9-B47GCE-3D9', 'member', 163, 0, '2019-11-29 20:20:18', 0),
(18, '46MD-KBAVHP-3X6', 'cash', 193, 0, '2019-11-30 09:25:09', 0),
(19, '46MD-KBAVHP-3X6', 'card', 500, 0, '2019-11-30 09:25:09', 0),
(20, '46MD-KBAVHP-3X6', 'paytm', 500, 0, '2019-11-30 09:25:09', 0),
(21, '46MD-KBAVHP-3X6', 'phonepe', 500, 0, '2019-11-30 09:25:09', 0),
(22, '594N-M7N65G-DWA', 'cash', 1573, 0, '2019-11-30 13:15:03', 0),
(23, 'ERGV-3RC3RN-3TL', 'cash', 521, 0, '2019-11-30 16:56:20', 0),
(24, 'JZ60-I02AV7-1D4', 'cash', 392, 0, '2019-11-30 20:00:03', 0),
(25, '3V5N-RWVXKY-3QZ', 'cash', 102, 0, '2019-12-01 09:23:15', 0),
(26, '3V5N-RWVXKY-3QZ', 'card', 100, 0, '2019-12-01 09:23:15', 0),
(27, '3V5N-RWVXKY-3QZ', 'paytm', 200, 0, '2019-12-01 09:23:15', 0),
(28, 'UW6E-3AVS5W-TB5', 'cash', 1145, 0, '2019-12-02 20:50:44', 0),
(29, '9VGB-WT03IO-BJ8', 'cash', 261, 0, '2019-12-03 13:25:27', 0),
(30, '4UME-ABYGCY-SL1', 'cash', 339, 0, '2019-12-03 13:32:10', 0),
(31, 'PT70-ZVSPY1-GOG', 'paytm', 1016, 0, '2019-12-03 13:38:54', 0),
(32, 'BDO1-7ZCC43-UKG', 'bhim', 2035, 0, '2019-12-03 13:42:17', 0),
(33, 'LOG4-A5VREI-3XW', 'member', 2186, 0, '2019-12-03 13:43:35', 0),
(34, 'M2TA-T1S2FZ-RPX', 'bhim', 339, 0, '2019-12-03 13:51:17', 0),
(35, 'O90X-0P13LD-0AI', 'bhim', 469, 0, '2019-12-03 21:27:06', 0),
(36, '0TS3-90DC3H-VUJ', 'cash', 1354, 0, '2019-12-03 23:23:32', 0),
(37, 'HKFF-CBO2T7-2TG', 'cash', 1146, 0, '2019-12-03 23:29:01', 0),
(38, 'Z2NB-UXA31M-AZW', 'cash', 500, 0, '2019-12-03 23:56:36', 0),
(39, 'Z2NB-UXA31M-AZW', 'card', 152, 0, '2019-12-03 23:56:36', 0),
(40, 'N3FW-RCX46L-0NJ', 'cash', 235, 0, '2019-12-14 14:17:40', 0),
(41, 'KTXO-WSN4XU-XIO', 'cash', 705, 0, '2019-12-14 14:21:43', 0),
(42, '4MBN-EUZJTY-20J', 'cash', 886, 0, '2019-12-14 14:25:08', 0),
(43, '60X6-9GR1WY-VAQ', 'cash', 226, 0, '2019-12-14 18:57:28', 0),
(44, 'LX35-LKODPI-PLO', 'cash', 321, 0, '2019-12-14 19:27:34', 0),
(45, 'E0ZD-2TPQ0Q-51S', 'cash', 434, 0, '2019-12-14 19:29:37', 0),
(46, '2U9K-0RHOVI-DH1', 'cash', 226, 0, '2019-12-14 20:00:07', 0),
(47, '718Q-HEG0OC-9JR', 'cash', 541, 0, '2019-12-15 07:30:59', 0),
(48, 'NH6N-VT6QXH-8BD', 'cash', 551, 0, '2019-12-15 07:35:01', 0);
-- --------------------------------------------------------
--
-- Table structure for table `payment_mode`
--
DROP TABLE IF EXISTS `payment_mode`;
CREATE TABLE IF NOT EXISTS `payment_mode` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`mode` varchar(20) NOT NULL,
`slug` varchar(20) NOT NULL,
`active` tinyint(1) NOT NULL DEFAULT '1',
`deleted` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `payment_mode`
--
INSERT INTO `payment_mode` (`id`, `mode`, `slug`, `active`, `deleted`) VALUES
(1, 'CASH', 'cash', 1, 0),
(2, 'CARD', 'card', 1, 0),
(3, 'PAYTM', 'paytm', 1, 0),
(4, 'Phone PE', 'phonepe', 1, 0),
(5, 'BHIM', 'bhim', 1, 0),
(6, 'MEMBER', 'member', 1, 0);
-- --------------------------------------------------------
--
-- Table structure for table `product_details`
--
DROP TABLE IF EXISTS `product_details`;
CREATE TABLE IF NOT EXISTS `product_details` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`category_id` int(11) NOT NULL,
`name` varchar(100) NOT NULL,
`slug` varchar(50) NOT NULL,
`price` float NOT NULL,
`offer` float NOT NULL,
`date` datetime NOT NULL,
`tax` varchar(55) NOT NULL,
`active` tinyint(1) NOT NULL,
`discountable` enum('0','1') NOT NULL DEFAULT '0',
`quantity` int(5) NOT NULL DEFAULT '-1',
`deleted` tinyint(1) NOT NULL DEFAULT '0',
`discount` int(11) NOT NULL,
`sale` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=133 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `product_details`
--
INSERT INTO `product_details` (`id`, `category_id`, `name`, `slug`, `price`, `offer`, `date`, `tax`, `active`, `discountable`, `quantity`, `deleted`, `discount`, `sale`) VALUES
(1, 1, 'CHEESE & CORN REG', 'cheesecornreg', 125, 120, '2019-12-14 19:42:57', '1 2', 1, '1', 0, 0, 1, 5),
(2, 1, 'CHEESE & CORN MED', 'cheesecornmed', 199, 0, '2019-10-01 19:10:38', '1 2', 1, '0', 0, 0, 0, 3),
(3, 1, 'CHEESE & CORN LAR', 'cheesecornlar', 300, 0, '2019-10-01 19:11:09', '1 2', 1, '0', 0, 0, 0, 0),
(4, 1, 'DOUBLE CHEESE MARGHERITA REG', 'doublecheesemargheritareg', 125, 0, '2019-10-01 19:14:06', '1 2', 1, '1', 0, 0, 1, 1),
(5, 1, 'DOUBLE CHEESE MARGHERITA MED', 'doublecheesemargheritamed', 199, 0, '2019-10-01 19:13:03', '1 2', 1, '0', 0, 0, 0, 0),
(6, 1, 'DOUBLE CHEESE MARGHERITA LAR', 'doublecheesemargheritalar', 300, 0, '2019-10-01 19:14:18', '1 2', 1, '0', 0, 0, 0, 0),
(7, 4, 'ONION SINGLE', 'onionsingle', 70, 0, '2019-10-01 19:15:14', '1 2', 1, '0', 0, 0, 0, 0),
(8, 4, 'CAPSICUM SINGLE', 'capsicumsingle', 70, 0, '2019-10-01 19:16:27', '1 2', 1, '0', 0, 0, 0, 0),
(9, 4, 'TOMATO SINGLE', 'tomatosingle', 70, 0, '2019-10-01 19:17:11', '1 2', 1, '0', 0, 0, 0, 0),
(10, 4, 'GOLDEN CORN SINGLE', 'goldencornsingle', 70, 0, '2019-10-01 19:17:36', '1 2', 1, '0', 0, 0, 0, 0),
(11, 4, 'ALL 4 SET SINGLE', 'all4setsingle', 260, 0, '2019-10-01 19:18:12', '1 2', 1, '0', 0, 0, 0, 0),
(12, 2, 'FARMHOUSE REG', 'farmhousereg', 175, 0, '2019-10-01 19:18:43', '1 2', 1, '0', 0, 0, 0, 0),
(13, 2, 'FARMHOUSE MED', 'farmhousemed', 250, 0, '2019-10-01 19:19:50', '1 2', 1, '0', 0, 0, 0, 0),
(14, 2, 'FARMHOUSE LAR', 'farmhouselar', 350, 0, '2019-10-01 19:20:18', '1 2', 1, '0', 0, 0, 0, 0),
(15, 3, 'PAPPY PANEER REG', 'pappypaneerreg', 210, 0, '2019-10-01 19:20:38', '1 2', 1, '0', 0, 0, 0, 0),
(16, 3, 'PAPPY PANEER MED', 'pappypaneermed', 310, 0, '2019-10-01 19:22:14', '1 2', 1, '0', 0, 0, 0, 0),
(17, 3, 'PAPPY PANEER LAR', 'pappypaneerlar', 460, 0, '2019-10-01 19:22:37', '1 2', 1, '0', 0, 0, 0, 0),
(18, 1, 'FRESH VEGGIE REG', 'freshveggiereg', 125, 0, '2019-12-01 17:26:45', '1 2', 1, '1', 0, 0, 0, 0),
(19, 1, 'FRIESH VEGGIE MED', 'freshveggiemed', 199, 0, '2019-12-01 17:28:15', '1 2', 1, '1', 0, 0, 0, 0),
(20, 1, 'FRIESH VEGGIE LAR', 'freshveggielar', 300, 0, '2019-12-01 17:29:07', '1 2', 1, '', 0, 0, 0, 0),
(21, 1, 'PANEER & ONION REG', 'paneeronionreg', 125, 0, '2019-12-01 17:31:45', '1 2', 1, '', 0, 0, 0, 0),
(22, 1, 'PANEER & ONION MED', 'paneeronionmed', 199, 0, '2019-12-01 17:31:10', '1 2', 1, '', 0, 0, 0, 0),
(23, 1, 'PANEER & ONION LAR', 'paneeronionlar', 300, 0, '2019-12-01 17:38:44', '1 2', 1, '', 0, 0, 0, 0),
(24, 4, 'ONION & PANEER', 'onionpaneer', 119, 0, '2019-12-01 17:36:01', '1 2', 1, '', 0, 0, 0, 0),
(25, 4, 'CAPSICUM & ONION', 'capsicumonion', 119, 0, '2019-12-01 17:36:23', '1 2', 1, '', 0, 0, 0, 0),
(26, 4, 'TOMATO & GOLDEN CORN', 'tomatogoldencorn', 119, 0, '2019-12-01 17:36:48', '1 2', 1, '', 0, 0, 0, 0),
(27, 4, 'PINEAPPLE & JALAPENO', 'pineapplejalapeno', 119, 0, '2019-12-01 17:37:21', '1 2', 1, '', 0, 0, 0, 0),
(28, 4, 'ALL 4 DOUBLES', 'all4doubles', 440, 0, '2019-12-01 17:37:59', '1 2', 1, '', 0, 0, 0, 0),
(29, 1, 'SPICY DOUBLE TANGO REG', 'spicydoubletangoreg', 125, 0, '2019-12-01 17:44:35', '1 2', 1, '', 0, 0, 0, 0),
(30, 1, 'SPICY DOUBLE TANGO MED', 'spicydoubletangomed', 199, 0, '2019-12-01 17:45:23', '1 2', 1, '', 0, 0, 0, 0),
(31, 1, 'SPICY DOUBLE TANGO LAR', 'spicydoubletangolar', 300, 0, '2019-12-01 17:45:45', '1 2', 1, '', 0, 0, 0, 0),
(32, 2, 'COUNTRY SPECIAL REG', 'countryspecialreg', 175, 0, '2019-12-01 17:46:10', '1 2', 1, '', 0, 0, 0, 0),
(33, 2, 'COUNTRY SPECIAL MED', 'countryspecilemed', 250, 0, '2019-12-01 18:07:46', '1 2', 1, '', 0, 0, 0, 0),
(34, 2, 'COUNTRY SPECIAL LAR', 'countryspeciallar', 350, 0, '2019-12-01 18:02:14', '1 2', 1, '', 0, 0, 0, 0),
(35, 2, 'MIX GREEN WAVE REG', 'mixgreenwavereg', 175, 0, '2019-12-01 18:08:21', '1 2', 1, '', 0, 0, 0, 0),
(36, 2, 'MIX GREEN WAVE MED', 'mixgreenwavemed', 250, 0, '2019-12-01 18:11:24', '1 2', 1, '', 0, 0, 0, 0),
(37, 2, 'MIX GREEN WAVE LAR', 'mixgreenwavelar', 350, 0, '2019-12-01 19:41:03', '1 2', 1, '', 0, 0, 0, 0),
(38, 2, 'PANEER MAKHANI REG', 'paneermakhanireg', 175, 0, '2019-12-01 18:15:11', '1 2', 1, '', 0, 0, 0, 0),
(39, 2, 'PANEER MAKHANI MED', 'paneermakhanimed', 250, 0, '2019-12-01 18:18:15', '1 2', 1, '', 0, 0, 0, 0),
(40, 2, 'PANEER MAKHANI LAR', 'paneermakhanilar', 350, 0, '2019-12-01 18:19:47', '1 2', 1, '', 0, 0, 0, 0),
(41, 2, 'HAWAIIAN PIZZA REG', 'hawaiianpizzareg', 175, 0, '2019-12-01 18:21:29', '1 2', 1, '', 0, 0, 0, 0),
(42, 2, 'HAWAIIN PIZZA MED', 'hawaiianpizzamed', 250, 0, '2019-12-01 18:30:29', '1 2', 1, '', 0, 0, 0, 0),
(43, 2, 'HAWAIIN PIZZA LAR', 'hawaiinpizzalar', 350, 0, '2019-12-01 18:31:11', '1 2', 1, '', 0, 0, 0, 0),
(44, 2, 'KIDS DELIGT REG', 'kidsdelightreg', 175, 0, '2019-12-01 18:37:35', '1 2', 1, '', 0, 0, 0, 0),
(45, 2, 'KIDS DELIGHT MED', 'kidsdelightmed', 250, 0, '2019-12-01 18:39:00', '1 2', 1, '', 0, 0, 0, 0),
(46, 2, 'KIDS DELIGHT LAR', 'kidsdelightlar', 350, 0, '2019-12-01 18:40:59', '1 2', 1, '', 0, 0, 0, 0),
(47, 2, 'CLASSIC VEG REG', 'classicvegreg', 175, 0, '2019-12-01 18:42:19', '1 2', 1, '', 0, 0, 0, 0),
(48, 2, 'CLASSIC VEG MED', 'classicvegmed', 250, 0, '2019-12-01 18:45:10', '1 2', 1, '', 0, 0, 0, 0),
(49, 2, 'CLASSIC VEG LAR', 'classicveglar', 350, 0, '2019-12-01 18:46:09', '1 2', 1, '', 0, 0, 0, 0),
(50, 2, 'CHILLI PANEER PIZZA REG', 'chillipaneerpizzareg', 175, 0, '2019-12-01 18:47:43', '1 2', 1, '', 0, 0, 0, 0),
(51, 2, 'CHILLI PANEER PIZZA MED', 'chillipaneerpizzamed', 250, 0, '2019-12-01 18:49:41', '1 2', 1, '', 0, 0, 0, 0),
(52, 2, 'CHILLI PANEER PIZZA LAR', 'chillipaneerpizzalar', 350, 0, '2019-12-01 18:55:51', '1 2', 1, '', 0, 0, 0, 0),
(53, 2, 'TANDOORI PIZZA REG', 'tadooripizzareg', 175, 0, '2019-12-01 18:58:00', '1 2', 1, '', 0, 0, 0, 0),
(54, 2, 'TANDOORI PIZZA MED', 'tandooripizzamed', 250, 0, '2019-12-01 19:01:23', '1 2', 1, '', 0, 0, 0, 0),
(55, 2, 'TANDOORI PIZZA LAR', 'tandooripizzalar', 350, 0, '2019-12-01 19:03:06', '1 2', 1, '', 0, 0, 0, 0),
(56, 3, 'PAPPY PANEER REG', 'pappypaneerreg', 210, 0, '2019-12-01 19:04:51', '1 2', 1, '', 0, 0, 0, 0),
(57, 3, 'PAPPY PANEER MED', 'pappypaneermed', 310, 0, '2019-12-01 19:07:49', '1 2', 1, '', 0, 0, 0, 0),
(58, 3, 'PAPPY PANEER LAR', 'pappypaneerlar', 460, 0, '2019-12-01 19:08:57', '1 2', 1, '', 0, 0, 0, 0),
(59, 3, 'VEGGIE PARADISE REG', 'veggieparadisereg', 210, 0, '2019-12-01 19:11:08', '1 2', 1, '', 0, 0, 0, 0),
(60, 3, 'VEGGIE PARADISE MED', 'veggieparadisemed', 310, 0, '2019-12-01 19:29:11', '1 2', 1, '', 0, 0, 0, 0),
(61, 3, 'VEGGIE PARADISE LAR', 'veggieparadiselar', 460, 0, '2019-12-01 19:37:20', '1 2', 1, '', 0, 0, 0, 0),
(62, 3, '5 PEPPER PIZZA REG', '5pepperpizzareg', 210, 0, '2019-12-01 19:41:37', '1 2', 1, '', 0, 0, 0, 0),
(63, 3, '5 PEPPER PIZZA MED', '5pepperpizzamed', 310, 0, '2019-12-01 19:43:28', '1 2', 1, '', 0, 0, 0, 0),
(64, 3, '5 PEPPER PIZZA LAR', '5pepperpizzalar', 460, 0, '2019-12-01 19:45:19', '1 2', 1, '', 0, 0, 0, 0),
(65, 3, 'DELUXE VEGGIE REG', 'deluxeveggiereg', 210, 0, '2019-12-01 19:46:45', '1 2', 1, '', 0, 0, 0, 0),
(66, 3, 'DELUXE VEGGIE MED', 'deluxeveggiemed', 310, 0, '2019-12-01 19:48:45', '1 2', 1, '', 0, 0, 0, 0),
(67, 3, 'DELUXE VEGGIE LAR', 'deluxeveggielar', 460, 0, '2019-12-01 19:50:16', '1 2', 1, '', 0, 0, 0, 0),
(68, 3, 'ROMAN VEG REG', 'romanvegreg', 210, 0, '2019-12-01 19:51:26', '1 2', 1, '', 0, 0, 0, 0),
(69, 3, 'ROMAN VEG MED', 'romanvegmed', 310, 0, '2019-12-01 19:53:22', '1 2', 1, '', 0, 0, 0, 0),
(70, 3, 'ROMAN VEG LAR', 'romanveglar', 460, 0, '2019-12-01 19:54:53', '1 2', 1, '', 0, 0, 0, 0),
(71, 3, 'PANEER PERI PERI VEG REG', 'paneerperiperivegreg', 210, 0, '2019-12-01 19:55:48', '1 2', 1, '', 0, 0, 0, 0),
(72, 3, 'PANEER PERI PERI VEG MED', 'paneerperiperivegmed', 310, 0, '2019-12-01 19:58:06', '1 2', 1, '', 0, 0, 0, 0),
(73, 3, 'PANEER PERI PERI VEG LAR', 'paneerperiperiveglar', 460, 0, '2019-12-01 19:59:34', '1 2', 1, '', 0, 0, 0, 0),
(74, 3, 'PERI PERI VEG REG', 'periperivegreg', 210, 0, '2019-12-01 20:01:41', '1 2', 1, '', 0, 0, 0, 0),
(75, 3, 'PERI PERI VEG MED', 'periperivegmed', 310, 0, '2019-12-01 20:03:23', '1 2', 1, '', 0, 0, 0, 0),
(76, 3, 'PERI PERI VEG LAR', 'periperiveglar', 460, 0, '2019-12-01 20:04:48', '1 2', 1, '', 0, 0, 0, 0),
(77, 3, 'SOYA MASALA REG', 'soyamasalareg', 210, 0, '2019-12-01 20:05:54', '1 2', 1, '', 0, 0, 0, 0),
(78, 3, 'SOYA MASALA MED', 'soyamasalamed', 310, 0, '2019-12-01 20:07:14', '1 2', 1, '', 0, 0, 0, 0),
(79, 3, 'SOYA MASALA LAR', 'soyamasalalar', 460, 0, '2019-12-01 20:09:05', '1 2', 1, '', 0, 0, 0, 0),
(80, 3, 'VEG EXOTICA REG', 'vegexoticareg', 210, 0, '2019-12-01 20:10:24', '1 2', 1, '', 0, 0, 0, 0),
(81, 3, 'VEG EXOTICA MED', 'vegexoticamed', 310, 0, '2019-12-01 20:15:32', '1 2', 1, '', 0, 0, 0, 0),
(82, 3, 'VEG EXOTICA LAR', 'vegexoticalar', 460, 0, '2019-12-01 20:15:48', '1 2', 1, '', 0, 0, 0, 0),
(83, 4, 'CHEESE PIZZA', 'cheesepizza', 119, 0, '2019-12-01 20:31:12', '1 2', 1, '', 0, 0, 0, 0),
(84, 4, 'VEG LOADED', 'vegloaded', 119, 0, '2019-12-01 20:35:35', '1 2', 1, '', 0, 0, 0, 0),
(85, 4, 'VEG HERBAX', 'vegherbax', 119, 0, '2019-12-01 20:33:27', '1 2', 1, '', 0, 0, 0, 0),
(86, 4, 'VEG SPICY', 'vegspicy', 119, 0, '2019-12-01 20:36:11', '1 2', 1, '', 0, 0, 0, 0),
(87, 5, 'VEG EXTRAVAGANZA REG', 'vegextravaganzareg', 250, 0, '2019-12-01 20:37:11', '1 2', 1, '', 0, 0, 0, 0),
(88, 5, 'VEG EXTRAVAGANZA MED', 'vegextravaganzamed', 385, 0, '2019-12-01 20:40:45', '1 2', 1, '', 0, 0, 0, 0),
(89, 5, 'VEG EXTRAVAGANZA LAR', 'vegextravaganzalar', 650, 0, '2019-12-01 20:43:22', '1 2', 1, '', 0, 0, 0, 0),
(90, 5, 'CLOUD 9 REG', 'cloud9ninereg', 250, 0, '2019-12-02 13:42:24', '1 2', 1, '', 0, 0, 0, 0),
(91, 5, 'CLOUD 9 MED', 'cloud9ninemed`', 385, 0, '2019-12-01 21:35:37', '1 2', 1, '', 0, 0, 0, 0),
(92, 5, 'CLOUD 9 LAR', 'cloud9ninelar', 650, 0, '2019-12-02 13:43:12', '1 2', 1, '', 0, 0, 0, 0),
(93, 5, '5 STAR PIZZA REG', '5starpizzareg', 250, 0, '2019-12-01 20:57:15', '1 2', 1, '', 0, 0, 0, 0),
(94, 5, '5 STAR PIZZA MED', '5starpizzamed', 385, 0, '2019-12-02 13:41:30', '1 2', 1, '', 0, 0, 0, 0),
(95, 5, '5 STAR PIZZA LAR', '5starpizzalar', 650, 0, '2019-12-01 20:54:21', '1 2', 1, '', 0, 0, 0, 0),
(96, 5, 'CHEFS VEG WONDER REG', 'chefsvegwonderreg', 250, 0, '2019-12-01 21:59:15', '1 2', 1, '', 0, 0, 0, 0),
(97, 5, 'CHEFS VEG WONDER MED', 'chefsvegwondermed', 385, 0, '2019-12-01 21:58:34', '1 2', 1, '', 0, 0, 0, 0),
(98, 4, 'CHEFS VEG WONDER LAR', 'chefsvegwonderlar', 650, 0, '2019-12-01 21:58:03', '1 2', 1, '', 0, 0, 0, 0),
(99, 5, 'VEG SUPREME REG', 'vegsupremereg', 250, 0, '2019-12-01 21:57:33', '1 2', 1, '', 0, 0, 0, 0),
(100, 5, 'VEG SUPREME MED', 'vegsuprememed', 385, 0, '2019-12-01 21:57:00', '1 2', 1, '', 0, 0, 0, 0),
(101, 5, 'VEG SUPREME LAR', 'vegsupremelar', 650, 0, '2019-12-01 21:56:23', '1 2', 1, '', 0, 0, 0, 0),
(102, 5, 'SCHEZWAN PANEER REG', 'schzwanpaneerreg', 250, 0, '2019-12-01 22:05:06', '1 2', 1, '', 0, 0, 0, 0),
(103, 5, 'SCHEZWAN PANEER MED', 'schezwanpaneermed', 385, 0, '2019-12-01 22:04:39', '1 2', 1, '', 0, 0, 0, 0),
(104, 5, 'SCHEZWAN PANEER LAR', 'schezwanpaneerlar', 650, 0, '2019-12-01 22:05:17', '1 2', 1, '', 0, 0, 0, 0),
(105, 5, 'BARBECUE VEG REG', 'barbecuevegreg', 250, 0, '2019-12-01 22:06:29', '1 2', 1, '', 0, 0, 0, 0),
(106, 5, 'BARBECUE VEG MED', 'barbecuevegmed', 385, 0, '2019-12-01 22:10:48', '1 2', 1, '', 0, 0, 0, 0),
(107, 5, 'BARBECUE VEG LAR', 'barbecueveglar', 650, 0, '2019-12-01 22:09:24', '1 2', 1, '', 0, 0, 0, 0),
(108, 5, 'PANEER SOYA REG', 'paneersoyareg', 250, 0, '2019-12-01 22:11:13', '1 2', 1, '', 0, 0, 0, 0),
(109, 5, 'PANEER SOYA MED', 'paneersoyamed', 385, 0, '2019-12-01 22:14:32', '1 2', 1, '', 0, 0, 0, 0),
(110, 5, 'PANEER SOYA LAR', 'paneersoyalar', 650, 0, '2019-12-01 22:13:05', '1 2', 1, '', 0, 0, 0, 0),
(111, 6, 'VEG PARCEL', 'vegparcel', 35, 0, '2019-12-01 22:14:48', '1 2', 1, '', 0, 0, 0, 0),
(112, 6, 'FRENCH FRIES', 'frenchfries', 45, 0, '2019-12-01 22:17:11', '1 2', 1, '', 0, 0, 0, 0),
(113, 6, 'CREAMY GARLIC BRED STICK', 'creamygarlicbredstick', 59, 0, '2019-12-01 22:18:48', '1 2', 1, '', 0, 0, 0, 0),
(114, 6, 'PASTA ITALIANO WHITE', 'pastaintalinowhite', 89, 0, '2019-12-01 22:22:55', '1 2', 1, '', 0, 0, 0, 0),
(115, 6, 'PASTA ITALIANO RED', 'pastaitalianored', 99, 0, '2019-12-01 22:25:21', '1 2', 1, '', 0, 0, 0, 0),
(116, 6, 'STUFF GARLIC BRED', 'stuffgarlicbred', 99, 0, '2019-12-01 22:27:15', '1 2', 1, '', 0, 0, 0, 0),
(117, 6, 'CALZONE POCKETS', 'clozonepockets', 99, 0, '2019-12-01 22:31:47', '1 2', 1, '', 0, 0, 0, 0),
(118, 7, 'CHEESE BURGER', 'cheeseburger', 49, 0, '2019-12-01 22:43:19', '1 2', 1, '', 0, 0, 0, 0),
(119, 7, 'PANEER BURGER', 'paneerburger', 59, 0, '2019-12-01 22:42:46', '1 2', 1, '', 0, 0, 0, 0),
(120, 7, 'ALOO PATTY BURGER', 'aloopattyburger', 59, 0, '2019-12-01 22:41:54', '1 2', 1, '', 0, 0, 0, 0),
(121, 7, 'SPICY VEG BURGER', 'spicyvegburger', 69, 0, '2019-12-01 22:36:48', '1 2', 1, '', 0, 0, 0, 0),
(122, 7, 'MEXICAN BURGER', 'mexicanburger', 69, 0, '2019-12-01 22:43:41', '1 2', 1, '', 0, 0, 0, 0),
(123, 7, 'VEG CHILLI CHEESE BURGER', 'vegchillicheeseburger', 69, 0, '2019-12-01 22:46:04', '1 2', 1, '', 0, 0, 0, 0),
(124, 8, 'BLACK COFFEE', 'blackcoffee', 29, 0, '2019-12-01 22:49:03', '1 2', 1, '', 0, 0, 0, 0),
(125, 8, 'COFFEE', 'coffee', 39, 0, '2019-12-01 22:50:31', '1 2', 1, '', 0, 0, 0, 0),
(126, 8, 'GOLD COFFEE', 'goldcoffee', 69, 0, '2019-12-01 22:51:22', '1 2', 1, '', 0, 0, 0, 0),
(127, 9, 'SWEET LIME SODA', 'sweetlimesoda', 29, 0, '2019-12-01 22:53:14', '1 2', 1, '', 0, 0, 0, 0),
(128, 7, 'GREEN APPLE MOJITO', 'greenapplemojito', 39, 0, '2019-12-01 22:54:54', '1 2', 1, '', 0, 0, 0, 0),
(129, 9, 'BLUE CURACAO MOJITO', 'bluecuracaomojito', 39, 0, '2019-12-01 22:56:44', '1 2', 1, '', 0, 0, 0, 0),
(130, 9, 'PAAN MOJITO', 'paanmojito', 39, 0, '2019-12-01 22:58:29', '1 2', 1, '', 0, 0, 0, 0),
(131, 9, 'PINA COLADA MOJITO', 'pinacoladamojito', 39, 0, '2019-12-01 22:59:58', '1 2', 1, '', 0, 0, 0, 0),
(132, 9, 'ICE TEA', 'icetea', 39, 0, '2019-12-01 23:01:50', '1 2', 1, '', 0, 0, 0, 0);
-- --------------------------------------------------------
--
-- Table structure for table `rst_info`
--
DROP TABLE IF EXISTS `rst_info`;
CREATE TABLE IF NOT EXISTS `rst_info` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`logo` varchar(100) NOT NULL,
`favicon` varchar(255) NOT NULL,
`address` varchar(250) NOT NULL,
`contact` varchar(250) NOT NULL,
`sms_name` varchar(100) NOT NULL,
`reCaptcha` tinyint(1) NOT NULL DEFAULT '1',
`reCaptchaSiteKey` varchar(255) NOT NULL,
`reCaptchaSecretKey` varchar(255) NOT NULL,
`analyticsTrackerId` varchar(20) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `rst_info`
--
INSERT INTO `rst_info` (`id`, `name`, `logo`, `favicon`, `address`, `contact`, `sms_name`, `reCaptcha`, `reCaptchaSiteKey`, `reCaptchaSecretKey`, `analyticsTrackerId`) VALUES
(1, 'RST mgmt', 'http://pizzapoint.ga/img/logo.jpg', 'http://pizzapoint.ga/img/favicon.ico', 'Deoria,\r\nUttar Pradesh,\r\nPin 277001', 'me@ravikantsingh.tk', 'XYZ', 1, '6Lfe9aIUAAAAAFfEwT9rsQlmDgNN60O39gwGfKTI', '6Lfe9aIUAAAAAEc7Yvp3de8nsCh60gG6WkdA9NTg', 'UA-139967074-1');
-- --------------------------------------------------------
--
-- Table structure for table `settings`
--
DROP TABLE IF EXISTS `settings`;
CREATE TABLE IF NOT EXISTS `settings` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`keyname` varchar(30) NOT NULL,
`value` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `settings`
--
INSERT INTO `settings` (`id`, `keyname`, `value`) VALUES
(1, 'table_mode', '0');
-- --------------------------------------------------------
--
-- Table structure for table `tax_details`
--
DROP TABLE IF EXISTS `tax_details`;
CREATE TABLE IF NOT EXISTS `tax_details` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`slug` varchar(50) NOT NULL,
`rate` float NOT NULL,
`active` tinyint(1) NOT NULL,
`date` datetime NOT NULL,
`update_date` datetime NOT NULL,
`deleted` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tax_details`
--
INSERT INTO `tax_details` (`id`, `name`, `slug`, `rate`, `active`, `date`, `update_date`, `deleted`) VALUES
(1, 'sgst', 'cash-1', 2, 1, '2019-09-21 12:03:32', '2019-10-28 20:35:11', 0),
(2, 'CGST', 'cgst', 2.5, 1, '2019-09-24 00:00:00', '2019-10-01 19:06:53', 0);
-- --------------------------------------------------------
--
-- Table structure for table `user_log`
--
DROP TABLE IF EXISTS `user_log`;
CREATE TABLE IF NOT EXISTS `user_log` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(25) NOT NULL,
`mobile` varchar(10) NOT NULL,
`username` varchar(20) NOT NULL,
`password` text NOT NULL,
`role` varchar(10) NOT NULL,
`status` tinyint(1) NOT NULL,
`date` datetime NOT NULL,
`update_date` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `user_log`
--
INSERT INTO `user_log` (`id`, `name`, `mobile`, `username`, `password`, `role`, `status`, `date`, `update_date`) VALUES
(1, 'Alpha Delta', '9876543211', 'admin', 'c1e4273fbb7883dacdb72764f395cdc3', 'admin', 1, '2019-09-21 12:03:32', '2019-10-01 10:57:16'),
(2, 'Beeta Gamma', '9695090900', 'beeta', 'c1e4273fbb7883dacdb72764f395cdc3', 'pos', 1, '2019-09-22 07:47:00', '2019-10-01 14:49:21'),
(5, 'Beeta Gamma', '9695090900', 'cook', 'c1e4273fbb7883dacdb72764f395cdc3', 'cook', 1, '2019-09-22 07:47:00', '2019-10-01 14:49:21'),
(6, 'kappa Gamma', '9695090900', 'display', 'c1e4273fbb7883dacdb72764f395cdc3', 'display', 1, '2019-09-22 07:47:00', '2019-10-01 14:49:21');
-- --------------------------------------------------------
--
-- Table structure for table `wallet`
--
DROP TABLE IF EXISTS `wallet`;
CREATE TABLE IF NOT EXISTS `wallet` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`customer_id` int(11) NOT NULL,
`balance` double NOT NULL,
`debit` double NOT NULL,
`credit` double NOT NULL,
`date` datetime NOT NULL,
`exp_date` datetime NOT NULL,
`active` tinyint(1) NOT NULL DEFAULT '1',
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
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 INDEX idx_0 ON baaArea (baaNpdidBsnsArrArea);
CREATE INDEX idx_1 ON bsns_arr_area_area_poly_hst (baaNpdidBsnsArrArea);
CREATE INDEX idx_2 ON bsns_arr_area_licensee_hst (baaNpdidBsnsArrArea);
CREATE INDEX idx_3 ON bsns_arr_area_licensee_hst (cmpNpdidCompany);
CREATE INDEX idx_4 ON bsns_arr_area_operator (baaNpdidBsnsArrArea);
CREATE INDEX idx_5 ON bsns_arr_area_operator (cmpNpdidCompany);
CREATE INDEX idx_6 ON bsns_arr_area_transfer_hst (baaNpdidBsnsArrArea);
CREATE INDEX idx_7 ON bsns_arr_area_transfer_hst (cmpNpdidCompany);
CREATE INDEX idx_8 ON company_reserves (fldNpdidField);
CREATE INDEX idx_9 ON company_reserves (cmpNpdidCompany);
CREATE INDEX idx_10 ON discovery (fldNpdidField);
CREATE INDEX idx_11 ON discovery (wlbNpdidWellbore);
CREATE INDEX idx_12 ON discovery_reserves (dscNpdidDiscovery);
CREATE INDEX idx_13 ON dscArea (fldNpdidField);
CREATE INDEX idx_14 ON dscArea (dscNpdidDiscovery);
CREATE INDEX idx_15 ON dscArea (dscNpdidResInclInDiscovery);
CREATE INDEX idx_16 ON facility_moveable (fclNpdidCurrentRespCompany);
CREATE INDEX idx_17 ON fclPoint (fclNpdidFacility);
CREATE INDEX idx_18 ON field (wlbNpdidWellbore);
CREATE INDEX idx_19 ON field (cmpNpdidCompany);
CREATE INDEX idx_20 ON field_activity_status_hst (fldNpdidField);
CREATE INDEX idx_21 ON field_description (fldNpdidField);
CREATE INDEX idx_22 ON field_investment_yearly (prfNpdidInformationCarrier);
CREATE INDEX idx_23 ON field_licensee_hst (fldNpdidField);
CREATE INDEX idx_24 ON field_licensee_hst (cmpNpdidCompany);
CREATE INDEX idx_25 ON field_operator_hst (fldNpdidField);
CREATE INDEX idx_26 ON field_operator_hst (cmpNpdidCompany);
CREATE INDEX idx_27 ON field_owner_hst (fldNpdidField);
CREATE INDEX idx_28 ON field_reserves (fldNpdidField);
CREATE INDEX idx_29 ON fldArea (fldNpdidField);
CREATE INDEX idx_30 ON fldArea (dscNpdidDiscovery);
CREATE INDEX idx_31 ON fldArea (dscNpdidResInclInDiscovery);
CREATE INDEX idx_32 ON licence_area_poly_hst (prlNpdidLicence);
CREATE INDEX idx_33 ON licence_licensee_hst (prlNpdidLicence);
CREATE INDEX idx_34 ON licence_licensee_hst (cmpNpdidCompany);
CREATE INDEX idx_35 ON licence_oper_hst (prlNpdidLicence);
CREATE INDEX idx_36 ON licence_oper_hst (cmpNpdidCompany);
CREATE INDEX idx_37 ON licence_petreg_licence (prlNpdidLicence);
CREATE INDEX idx_38 ON lic_pet_lic_licencee (prlNpdidLicence);
CREATE INDEX idx_39 ON lic_pet_lic_licencee (cmpNpdidCompany);
CREATE INDEX idx_40 ON licence_petreg_licence_oper (prlNpdidLicence);
CREATE INDEX idx_41 ON licence_petreg_licence_oper (cmpNpdidCompany);
CREATE INDEX idx_42 ON licence_petreg_message (prlNpdidLicence);
CREATE INDEX idx_43 ON licence_phase_hst (prlNpdidLicence);
CREATE INDEX idx_44 ON licence_task (cmpNpdidCompany);
CREATE INDEX idx_45 ON licence_task (prlNpdidLicence);
CREATE INDEX idx_46 ON licence_task (prlTaskRefID);
CREATE INDEX idx_47 ON licence_transfer_hst (prlNpdidLicence);
CREATE INDEX idx_48 ON licence_transfer_hst (cmpNpdidCompany);
CREATE INDEX idx_49 ON pipLine (pipNpdidOperator);
CREATE INDEX idx_50 ON prlArea (prlNpdidLicence);
CREATE INDEX idx_51 ON prlArea (prlLastOperatorNpdidCompany);
CREATE INDEX idx_52 ON prlAreaSplitByBlock (prlLastOperatorNpdidCompany);
CREATE INDEX idx_53 ON prlAreaSplitByBlock (prlNpdidLicence);
CREATE INDEX idx_54 ON seaArea (seaNpdidSurvey);
CREATE INDEX idx_55 ON seaMultiline (seaSurveyName);
CREATE INDEX idx_56 ON seis_acquisition (seaCompanyReported);
CREATE INDEX idx_57 ON s_a_c_inc_turnarea (seaNpdidSurvey);
CREATE INDEX idx_58 ON seis_acquisition_progress (seaNpdidSurvey);
CREATE INDEX idx_59 ON strat_litho_wellbore (wlbNpdidWellbore);
CREATE INDEX idx_60 ON strat_litho_wellbore_core (wlbNpdidWellbore);
CREATE INDEX idx_61 ON tuf_operator_hst (cmpNpdidCompany);
CREATE INDEX idx_62 ON tuf_owner_hst (cmpNpdidCompany);
CREATE INDEX idx_63 ON tuf_petreg_licence_licencee (tufNpdidTuf);
CREATE INDEX idx_64 ON tuf_petreg_licence_licencee (cmpNpdidCompany);
CREATE INDEX idx_65 ON tuf_petreg_licence_oper (tufNpdidTuf);
CREATE INDEX idx_66 ON tuf_petreg_licence_oper (cmpNpdidCompany);
CREATE INDEX idx_67 ON tuf_petreg_message (tufNpdidTuf);
CREATE INDEX idx_68 ON wellbore_casing_and_lot (wlbNpdidWellbore);
CREATE INDEX idx_69 ON wellbore_coordinates (wlbNpdidWellbore);
CREATE INDEX idx_70 ON wellbore_core (wlbNpdidWellbore);
CREATE INDEX idx_71 ON wellbore_core_photo (wlbNpdidWellbore);
CREATE INDEX idx_72 ON wellbore_development_all (wlbDrillingOperator);
CREATE INDEX idx_73 ON wellbore_development_all (wlbNpdidWellbore);
CREATE INDEX idx_74 ON wellbore_development_all (dscNpdidDiscovery);
CREATE INDEX idx_75 ON wellbore_development_all (fldNpdidField);
CREATE INDEX idx_76 ON wellbore_development_all (prlNpdidProductionLicence);
CREATE INDEX idx_77 ON wellbore_development_all (wlbDiskosWellOperator);
CREATE INDEX idx_78 ON wellbore_document (wlbNpdidWellbore);
CREATE INDEX idx_79 ON wellbore_dst (wlbNpdidWellbore);
CREATE INDEX idx_80 ON wellbore_exploration_all (wlbDrillingOperator);
CREATE INDEX idx_81 ON wellbore_exploration_all (wlbNpdidWellbore);
CREATE INDEX idx_82 ON wellbore_exploration_all (fldNpdidField);
CREATE INDEX idx_83 ON wellbore_exploration_all (prlNpdidProductionLicence);
CREATE INDEX idx_84 ON wellbore_formation_top (wlbNpdidWellbore);
CREATE INDEX idx_85 ON wellbore_mud (wlbNpdidWellbore);
CREATE INDEX idx_86 ON wellbore_oil_sample (wlbNpdidWellbore);
CREATE INDEX idx_87 ON wellbore_shallow_all (wlbNpdidWellbore);
CREATE INDEX idx_88 ON wlbPoint (wlbNpdidWellbore);
|
CREATE TABLE `user_status` (
`user_status_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL,
PRIMARY KEY (`user_status_id`),
UNIQUE KEY `name_UNIQUE` (`name`)
);
CREATE TABLE `user` (
`user_id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`username` varchar(100) NOT NULL,
`first_name` varchar(100) DEFAULT NULL,
`last_name` varchar(100) DEFAULT NULL,
`avatar_url` varchar(100) DEFAULT NULL,
`user_status_id` int(11) unsigned NOT NULL,
PRIMARY KEY (`user_id`),
UNIQUE KEY `user_id_UNIQUE` (`user_id`),
KEY `fk_user_user_status_idx` (`user_status_id`),
CONSTRAINT `fk_user_user_status` FOREIGN KEY (`user_status_id`) REFERENCES `user_status` (`user_status_id`) ON DELETE NO ACTION ON UPDATE NO ACTION
);
CREATE TABLE `email` (
`email_id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`user_id` int(11) unsigned NOT NULL,
`email` varchar(100) NOT NULL,
`confirmed` bool not null,
`primary` bool not null,
PRIMARY KEY (`email_id`),
UNIQUE KEY `email_id_UNIQUE` (`email_id`),
KEY `fk_email_user_idx` (`user_id`),
CONSTRAINT `fk_email_user` FOREIGN KEY (`user_id`) REFERENCES `user` (`user_id`) ON DELETE cascade ON UPDATE NO ACTION
);
CREATE TABLE `confirmation_email` (
`confirmation_email_id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`email_id` int(11) unsigned NOT NULL,
`confirmation_code` char(20) NOT NULL,
PRIMARY KEY (`confirmation_email_id`),
UNIQUE KEY `confirmation_email_id_UNIQUE` (`confirmation_email_id`),
KEY `fk_confirmation_email_email_idx` (`email_id`),
CONSTRAINT `fk_confirmation_email_email` FOREIGN KEY (`email_id`) REFERENCES `email` (`email_id`) ON DELETE cascade ON UPDATE NO ACTION
);
CREATE TABLE `password_credential` (
`password_credential_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`password_hash` binary(32) NOT NULL,
`salt` char(20) NOT NULL,
`user_id` int(10) unsigned NOT NULL,
PRIMARY KEY (`password_credential_id`),
KEY `fk_password_credential_user_idx` (`user_id`),
CONSTRAINT `fk_password_credential_user` FOREIGN KEY (`user_id`) REFERENCES `user` (`user_id`) ON DELETE cascade ON UPDATE NO ACTION
);
CREATE TABLE `permission` (
`permission_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL,
PRIMARY KEY (`permission_id`),
UNIQUE KEY `name_UNIQUE` (`name`)
);
CREATE TABLE `role` (
`role_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL,
PRIMARY KEY (`role_id`),
UNIQUE KEY `name_UNIQUE` (`name`)
);
CREATE TABLE `role_permission` (
`role_id` int(10) unsigned NOT NULL,
`permission_id` int(10) unsigned NOT NULL,
KEY `fk_rolePermission_role_idx` (`role_id`),
KEY `fk_rolePermission_permission_idx` (`permission_id`),
CONSTRAINT `fk_rolePermission_permission` FOREIGN KEY (`permission_id`) REFERENCES `permission` (`permission_id`) ON DELETE NO ACTION ON UPDATE NO ACTION,
CONSTRAINT `fk_rolePermission_role` FOREIGN KEY (`role_id`) REFERENCES `role` (`role_id`) ON DELETE NO ACTION ON UPDATE NO ACTION
);
insert into `user_status` (`name`) values ('pendingActivation'), ('active');
|
--Task 3a.)
--Report 1 (Top k = 10)
--a.)What is the total number of rent for properties of each suburb in VIC?
--b.) Explanation: This query will help users to explore popular Victorian suburbs
--for rental properties.
--c.) SQL commands
select s.state_name, a.suburb, count(f.total_number_of_rent) as total_number_of_rent
from MonRE_rent_fact_v2 f, address_dim_v2 a, postcode_dim_v2 p, state_dim_v2 s, property_dim_v2 pr
where f.property_id = pr.property_id and pr.address_id = a.address_id
and a.postcode = p.postcode and p.state_code = s.state_code
and s.state_code = 'VIC'
group by s.state_name, a.suburb
order by total_number_of_rent desc
fetch next 10 rows only;
--Report 2 (Top n% = 10)
--a.)What is the total number of rent for properties of each suburb in NSW?
--b.)Explanation: This query will help users to explore popular New South Wales
--suburbs for rental properties.
--c.)SQL commands
select s.state_name, a.suburb, count(f.total_number_of_rent) as total_number_of_rent
from MonRE_rent_fact_v2 f, address_dim_v2 a, postcode_dim_v2 p, state_dim_v2 s,
property_dim_v2 pr
where f.property_id = pr.property_id and pr.address_id = a.address_id
and a.postcode = p.postcode and p.state_code = s.state_code
and s.state_code = 'NSW'
group by s.state_name, a.suburb
order by total_number_of_rent desc
fetch first 10 percent rows only;
--Report 3 (Show All)
--a.)What is the total number of rent for properties by State?
--b.)Explanation: This query will help users to view
--MonRE's total rental properties for all states
--c.)SQL commands
select s.state_name,
count(f.total_number_of_rent) as total_number_of_rent
from MonRE_rent_fact_v2 f, address_dim_v2 a, postcode_dim_v2 p, state_dim_v2 s,
property_dim_v2 pr
where f.property_id = pr.property_id and pr.address_id = a.address_id
and a.postcode = p.postcode and p.state_code = s.state_code
group by s.state_name
order by total_number_of_rent desc;
-- Task 3b.)
--Report 4 (Cube Operator)
--a.)What are the sub-total and total rental fees from each suburb, time period,
--and property type?
--b.)Explanation: This query will provide management with information relating
-- to the top rental property types for each suburb at a given time.
--c.)SQL commands
select a.suburb, pr.property_type, f.rent_start_date,
sum(f.total_rental) as Total_Rental_Fees,
case grouping_id(a.suburb, f.rent_start_date, pr.property_type)
when 0 then ''
when 1 then 'Time subtotal'
when 2 then 'Property Type subtotal'
when 3 then 'Suburb Total'
end as subtotals
from address_dim_v2 a, property_dim_v2 pr, MonRE_rent_fact_v2 f
where f.property_id = pr.property_id and pr.address_id = a.address_id
and f.rent_start_date is not null
group by cube (a.suburb, f.rent_start_date, pr.property_type)
order by a.suburb;
--Report 5 (Partial Cube Operator)
--a.)What are the sub-total and total rental fees from each suburb, time period,
--and property type?
--b.)Explanation: This query will provide management with information relating
-- to the top rental property types for each suburb at a given time.
--c.)SQL commands
select decode(grouping(a.suburb), 1, 'All Suburbs', a.suburb) as Suburb,
decode(grouping(f.rent_start_date), 1, 'All Dates', f.rent_start_date) as Rental_Date,
decode(grouping(pr.property_type), 1, 'All Property Type', pr.property_type) as Property_Type,
sum(f.total_rental) as Total_Rental_Fees
from address_dim_v2 a, property_dim_v2 pr, MonRE_rent_fact_v2 f
where f.property_id = pr.property_id and pr.address_id = a.address_id
group by cube (a.suburb, f.rent_start_date), pr.property_type
order by f.rent_start_date;
--Report 6 (Roll-up Operator)
--a.)What are the sub-total and total rental fees from each state, and
--property type?
--b.)Explanation: This query will be usefull for management to explore
-- information relating to property type rentals based on different States
--c.)SQL commands
select decode(grouping(s.state_name), 1, 'All States', s.state_name) as State_Name,
decode(grouping(pr.property_type), 1, 'All Property Type', pr.property_type) as Property_Type,
sum(f.total_rental) as Total_Rental_Fees
from address_dim_v2 a, state_dim_v2 s, postcode_dim_v2 p,
property_dim_v2 pr, MonRE_rent_fact_v2 f
where f.property_id = pr.property_id and pr.address_id = a.address_id
and a.postcode = p.postcode and p.state_code = s.state_code
group by rollup (s.state_name, pr.property_type)
order by Total_Rental_Fees asc;
--Report 7 (Partial Roll-up Operator)
--a.)What are the sub-total and total rental fees from each state, and
--property type?
--b.)Explanation: This query will be usefull for management to explore
-- information relating to property type rentals based on different States
--c.)SQL commands
select decode(grouping(s.state_name), 1, 'All States', s.state_name) as State_Name,
decode(grouping(pr.property_type), 1, 'All Property Type', pr.property_type) as Property_Type,
sum(f.total_rental) as Total_Rental_Fees
from address_dim_v2 a, state_dim_v2 s, postcode_dim_v2 p,
property_dim_v2 pr, MonRE_rent_fact_v2 f
where f.property_id = pr.property_id and pr.address_id = a.address_id
and a.postcode = p.postcode and p.state_code = s.state_code
group by rollup (s.state_name), pr.property_type
order by Total_Rental_Fees asc;
--Report 8
--a.)What is the total number of clients and cumulative number of clients with a
--high budget in each year?(cumulative aggregates)
--b.)Explanation: This query will inform the user about the number of high
-- budgeted clients for each year
--c.)SQL commands
select fr.rent_start_date, count(fr.total_number_of_clients) as Total_Number_of_Rental_Clients,
to_char(count(count(fr.total_number_of_clients)) over(partition by fr.rent_start_date
order by rent_start_date rows unbounded preceding), '9,999,999.99')
as Cumulative_number_of_rental_clients,
fs.sale_date, count(fs.total_number_of_clients) as Total_Number_of_Sales_Client,
to_char(count(count(fs.total_number_of_clients)) over(partition by fs.sale_date
order by sale_date rows unbounded preceding), '9,999,999.99')
as Cumulative_number_of_rental_clients
from MonRE_rent_fact_v2 fr, MonRE_sale_fact_v2 fs,
property_dim_v2 pr, client_dim_v2 c
where c.min_budget > 100001 and
pr.property_id = fr.property_id and pr.property_id = fs.property_id
group by fr.rent_start_date, fs.sale_date;
--Report 9
--a.)What is the total rental fees and cumulative rental fees by property type in
--each rental date? (cumulative aggregate)
--b.)Explanation: This query will help Managers in examining the trend of rental
--properties among tenants, and by Rental Date to know the contribution
--of rental fees in total for a particular Rental Date
--c.)SQL command
select fr.rent_start_date, pr.property_type, sum(fr.total_rental) as Total_Rental,
to_char(sum(sum(fr.total_rental)) over(order by fr.rent_start_date
rows unbounded preceding), '9,999,999.99')
as Cumulative_rental_fees
from MonRE_rent_fact_v2 fr, property_dim_v2 pr
where fr.property_id = pr.property_id
group by fr.rent_start_date, pr.property_type
order by rent_start_date;
--Report 10
--a.)What is the total rental fees and moving aggregate rental fees by property type in
--each month of the year? (moving aggregate)
--b.)Explanation: This query is particularly useful in understanding the rental
--properties trend among tenant by date and to know the contribution in average
--by date
--c.)SQL command
select fr.rent_start_date, pr.property_type, sum(fr.total_rental) as Total_Rental,
to_char(avg(sum(fr.total_rental)) over(order by fr.rent_start_date
rows 2 preceding), '9,999,999.99')
as Moving_aggregate_rental_fees
from MonRE_rent_fact_v2 fr, property_dim_v2 pr
where fr.property_id = pr.property_id
group by pr.property_type, fr.rent_start_date
order by fr.rent_start_date;
--Report 11 (Ranking)
--a.)Show ranking of each property type based on the yearly total number of
--sales and the ranking of each state based on the yearly total number of sales.
--b.)Explanation: This query is useful for management to analyse MonRE
--based on property type and state to explore most active markets for properties
--c.)SQL command
select f.sale_date, pr.property_type, s.state_name,
count(f.total_number_of_sale) as Total_number_of_sales,
rank()over (partition by pr.property_type order by count(f.total_number_of_sale)desc)
as rank_by_property_type,
rank()over (partition by s.state_name order by count(f.total_number_of_sale)desc)
as rank_by_state
from MonRE_sale_fact_v2 f, property_dim_v2 pr, state_dim_v2 s,
postcode_dim_v2 po, address_dim_v2 a
where f.property_id = pr.property_id and
pr.address_id = a.address_id and a.postcode = po.postcode and
po.state_code = s.state_code
group by f.sale_date, pr.property_type, s.state_name
order by s.state_name;
--Report 12
--a.)Show ranking of each property size on the total number of
--sales and the ranking of each suburb on the total number of sales.
--b.)Explanation: this query is useful for management to analyse the MonRE
--based on property size and the suburb that it has been able to most actively market
--properties
--c.)SQL command
select f.sale_date, pr.property_size, a.suburb,
count(f.total_number_of_sale) as Total_number_of_sales,
rank()over (partition by pr.property_size order by count(f.total_number_of_sale)desc)
as rank_by_property_size,
rank()over (partition by a.suburb order by count(f.total_number_of_sale)desc)
as rank_by_suburb
from MonRE_sale_fact_v2 f, property_dim_v2 pr, address_dim_v2 a
where f.property_id = pr.property_id and
pr.address_id = a.address_id
group by f.sale_date, pr.property_size, a.suburb
order by a.suburb;
|
select num, subject, writer, e_date, w_date
from
(select rownum r, num, subject, writer, concat(concat(e_year,'-'), concat(concat(e_month,'-') , e_day)) e_date, w_date
from diary
order by num desc
)
where r between 1 and 10;
select * from diary;
-- 총 게시물의 개수
select count(num) from diary;
|
--Q1
-- Full name: Xiaolin Li
-- AUID: 455398598
-- Username: xli556
--Q2
SELECT ProductID AS 'Product ID', ProductName AS 'Product name', SupplierID AS 'Supplier ID', CategoryID AS 'Category ID', QuantityPerUnit AS 'Quantity Per Unit', UnitPrice AS 'Unit Price', UnitsInStock AS 'Units In Stock', UnitsOnOrder AS 'Units On Order', ReorderLevel AS 'Reorder Level', Discontinued
FROM Product;
--Q3
SELECT ProductName, UnitPrice, UnitsInStock
FROM Product
ORDER BY UnitPrice DESC;
--Q4
SELECT Phone
FROM Shipper
WHERE CompanyName LIKE 'United Package';
--Q5
SELECT *
FROM Customer
WHERE FAX IS NOT NULL;
--Q6
SELECT *
FROM [Order]
WHERE OrderDate LIKE '1996-07%';
--Q7
SELECT DISTINCT Country
FROM Customer;
--Q8
SELECT COUNT(*) AS 'Numbers of Order'
FROM [Order];
--Q9
-- without functions
SELECT ProductName
FROM Product
WHERE ProductName LIKE '_____';
-- with functions
SELECT ProductName
FROM Product
WHERE LENGTH(ProductName) = 5;
--Q10
SELECT ProductName, UnitsInStock
FROM Product
ORDER BY UnitsInStock DESC
LIMIT 10;
--Q11
SELECT UPPER(LastName)||', '||FirstName AS 'Full name', Address||', '||City||' '||PostalCode||', '||Country AS 'Full Address'
FROM Employee;
--Q12
SELECT OrderID, ProductID, '$'||UnitPrice AS 'UnitPrice', Quantity, (Discount*100)||'%' AS 'Discount', '$'||(UnitPrice * Quantity * (1 - Discount)) AS 'Subtotal'
FROM OrderDetail
WHERE OrderID = 10250;
--Q13
SELECT ProductName, CategoryID, UnitPrice, Discontinued
FROM Product
WHERE ProductName LIKE 'C%'
AND CategoryID IN (1,2)
AND UnitPrice > 20
AND Discontinued = 0;
--Q14
INSERT INTO Shipper(CompanyName, Phone)VALUES('Trustworthy Delivery', '(503) 555-1122');
INSERT INTO Shipper(CompanyName, Phone)VALUES('Amazing Pace', '(503) 555-3421');
INSERT INTO Shipper(CompanyName, Phone)VALUES('Xiaolin Li', '(503) 455-3985');
--Q15
SELECT LastName, FirstName, CAST(STRFTIME('%Y.%m%d', 'now') - STRFTIME('%Y.%m%d', BirthDate) AS INT) AS 'Age'
FROM Employee;
--Q16
UPDATE Employee
SET LastName = 'Fuller', TitleOfCourtesy = 'Mrs.'
WHERE FirstName LIKE 'Nancy' AND LastName LIKE 'Davolio';
--Q17
UPDATE Employee
SET Address = (SELECT Address
From Employee
Where FirstName LIKE 'Andrew' AND LastName LIKE 'Fuller'),
City = (SELECT City
From Employee
Where FirstName LIKE 'Andrew' AND LastName LIKE 'Fuller'),
[Region] = (SELECT [Region]
From Employee
Where FirstName LIKE 'Andrew' AND LastName LIKE 'Fuller'),
PostalCode = (SELECT PostalCode
From Employee
Where FirstName LIKE 'Andrew' AND LastName LIKE 'Fuller'),
HomePhone = (SELECT HomePhone
From Employee
Where FirstName LIKE 'Andrew' AND LastName LIKE 'Fuller')
WHERE FirstName LIKE 'Nancy' AND LastName LIKE 'Fuller';
--Q18
CREATE TABLE ProductHistory
(ProductID INTEGER NOT NULL,
EntryDate DATE NOT NULL,
UnitPrice REAL,
UnitsInStock INTEGER,
UnitsOnOrder INTEGER,
ReorderLevel INTEGER,
Discontinued INTEGER NOT NULL,
PRIMARY KEY(ProductID,EntryDate),
FOREIGN KEY(ProductID)REFERENCES Product(ProductID)
ON UPDATE NO ACTION ON DELETE NO ACTION
);
--Q19
INSERT INTO ProductHistory(ProductID, EntryDate, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued)
SELECT ProductID, DATETIME('now','localtime'),UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued
FROM Product;
--Q20
SELECT CASE
WHEN STRFTIME('%w',HireDate) == '0' THEN 'Sunday'
WHEN STRFTIME('%w',HireDate) == '1' THEN 'Monday'
WHEN STRFTIME('%w',HireDate) == '2' THEN 'Tuesday'
WHEN STRFTIME('%w',HireDate) == '3' THEN 'Wednesday'
WHEN STRFTIME('%w',HireDate) == '4' THEN 'Thursday'
WHEN STRFTIME('%w',HireDate) == '5' THEN 'Friday'
WHEN STRFTIME('%w',HireDate) == '6' THEN 'Saturday'
END AS 'Day of Week', COUNT(STRFTIME('%w',HireDate)) AS 'Hired'
FROM Employee
GROUP BY [Day of Week];
--Q21
SELECT e.LastName, e.FirstName, '$'||MAX(oo.TotalNumber) AS 'Total'
FROM Employee e
LEFT OUTER JOIN (SELECT o.EmployeeID, o.OrderID, SUM((od.UnitPrice * od.Quantity) * (1 - od.Discount)) AS 'TotalNumber'
FROM [ORDER] o
LEFT JOIN OrderDetail od
ON o.OrderID = od.OrderID
GROUP BY o.EmployeeID
ORDER BY o.EmployeeID) oo
ON e.EmployeeID = oo.EmployeeID;
--Q22
SELECT e.FirstName AS 'Employee', IFNULL(em.FirstName, 'No manager') AS 'Manager'
FROM Employee e
LEFT OUTER JOIN Employee em
ON e.ReportsTo = em.EmployeeID;
--Q23
SELECT c.CompanyName AS 'Company', '$'||ROUND(SUM(p.UnitPrice * od.Quantity),2) AS 'Recommended',
'$'||ROUND(SUM(od.UnitPrice * od.Quantity * (1 - od.Discount)),2) AS 'Ordered',
'$'||ROUND(ABS(SUM(p.UnitPrice * od.Quantity) - SUM(od.UnitPrice * od.Quantity * (1 - od.Discount))),2) AS 'Discount',
ROUND(100 * (ABS(SUM(p.UnitPrice * od.Quantity) - SUM(od.UnitPrice * od.Quantity * (1 - od.Discount)))/SUM(p.UnitPrice * od.Quantity)),2)||'%' AS 'Percentage'
FROM Customer c, Product p, OrderDetail od, [Order] o
WHERE c.CustomerID = o.CustomerID AND o.OrderID = od.OrderID AND od.ProductID = p.ProductID
GROUP BY c.CompanyName
ORDER BY ROUND(100 * (ABS(SUM(p.UnitPrice * od.Quantity) - SUM(od.UnitPrice * od.Quantity * (1 - od.Discount)))/SUM(p.UnitPrice * od.Quantity)),2) DESC;
--Q24
SELECT oos.ShipCountry, s.CompanyName
FROM Shipper s
LEFT OUTER JOIN (
SELECT o.ShipCountry, oo.ShipCountry, o.ShipVia, oo.ShipVia, max(oo.Fs)as MaxFs
FROM [Order] o
INNER JOIN (
SELECT ShipCountry, ShipVia, sum(Freight)as fs
FROM [Order]
GROUP BY ShipCountry, ShipVia)oo
ON o.ShipVia = oo.ShipVia and o.ShipCountry = oo.ShipCountry
GROUP BY oo.ShipCountry) oos
ON s.ShipperID = oos.ShipVia
WHERE oos.ShipCountry IS NOT NULL
ORDER BY CompanyName; |
alter table users drop phone; |
-- В таблицах используются кластеризованные индексы в качестве первичных ключей. А некластеризованные индексы используются для выполнения запросов по выводу информации.
create table cars
(
id int PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
[type_id] INT FOREIGN KEY REFERENCES cars_type(id) NOT NULL,
seats int NOT NULL
)
create table cars_type
(
id int PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
[type] nvarchar(100) NOT NULL, --некластеризованный индекс
service_class nvarchar(20) NOT NULL, --некластеризованный индекс
min_seats int NULL,
max_seats int NULL,
markup decimal(10,2) NOT NULL
)
CREATE TABLE trains_model
(
id int PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
title NVARCHAR(50) NOT NULL,
[type] NVARCHAR(50) NOT NULL,
markup decimal(10,2) NOT NULL
)
CREATE NONCLUSTERED INDEX NT_title
ON trains_model(title)
CREATE TABLE trains
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
m_id INT FOREIGN KEY REFERENCES trains_model(id) not null,
number NVARCHAR(10) NOT NULL,
cars INT NOT NULL
)
ALTER TABLE trains ADD CHECK(cars<20)
CREATE TABLE passengers
(
id INT PRIMARY KEY IDENTITY(1,1) not null, --кластеризованный индекс
creat_date datetime2 NOT NULL,
first_name NVARCHAR(20) NOT NULL,
middle_name NVARCHAR(20) NOT NULL,
last_name NVARCHAR(20) NOT NULL,
birthday DATE NOT NULL,
passport BIGINT NOT NULL, -- некластеризованный индекс
phone NVARCHAR(20),
email NVARCHAR(30)
)
CREATE NONCLUSTERED INDEX NT_passport
ON passengers(passport)
CREATE TABLE stopping
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
title NVARCHAR(30) NOT NULL --некластеризованный индекс
)
CREATE NONCLUSTERED INDEX NT_title
ON stopping(title)
CREATE TABLE [routes]
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
beg_point INT FOREIGN KEY REFERENCES stopping(id) NOT NULL, -- некластеризованный индекс
end_point INT FOREIGN KEY REFERENCES stopping(id) NOT NULL, -- некластеризованный индекс
beg_time TIME NOT NULL, -- некластеризованный индекс
end_time TIME NOT NULL, -- некластеризованный индекс
duration NVARCHAR(40) NOT NULL,
distance FLOAT NOT NULL,
price_100kl FLOAT NOT NULL CHECK(price_100kl>0),
price_place FLOAT NOT NULL -- некластеризованный индекс
)
CREATE NONCLUSTERED INDEX NT_beg_point
ON [routes](beg_point)
CREATE NONCLUSTERED INDEX NT_end_point
ON [routes](end_point)
CREATE NONCLUSTERED INDEX NT_beg_time
ON [routes](beg_time)
CREATE NONCLUSTERED INDEX NT_end_time
ON [routes](end_time)
CREATE NONCLUSTERED INDEX NT_price_place
ON [routes](price_place)
create table routes_stopping
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
route_id int FOREIGN KEY REFERENCES [routes](id)not null, --некластеризованный индекс
stop_id int FOREIGN KEY REFERENCES stopping(id) not null, --некластеризованный индекс
[time] time not null,
km float not null
)
CREATE NONCLUSTERED INDEX NT_route_id
ON routes_stopping(route_id)
CREATE NONCLUSTERED INDEX NT_stop_id
ON routes_stopping(stop_id)
create table ticket
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
pass_id int FOREIGN KEY REFERENCES passengers(id) not null,
ttable_id int FOREIGN KEY REFERENCES timetable(id) not null, --некластеризованный индекс
stop_id int FOREIGN KEY REFERENCES stopping(id),
car_id int FOREIGN KEY REFERENCES cars(id) not null,
seats_id int not null, --некластеризованный индекс
price float not null
)
CREATE NONCLUSTERED INDEX NT_seats_id
ON ticket(seats_id)
CREATE NONCLUSTERED INDEX NT_ttable_id
ON ticket(ttable_id)
create table structure
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
train_id int FOREIGN KEY REFERENCES trains(id) not null, --некластеризованный индекс
car_id int FOREIGN KEY REFERENCES cars(id) not null, --некластеризованный индекс
[status] varchar(1) not null --некластеризованный индекс
)
CREATE NONCLUSTERED INDEX NT_train_id
ON structure(train_id)
CREATE NONCLUSTERED INDEX NT_car_id
ON structure(car_id)
CREATE NONCLUSTERED INDEX NT_status
ON structure([status])
create table timetable
(
id INT PRIMARY KEY IDENTITY(1,1) NOT NULL, --кластеризованный индекс
creat_date datetime2 NOT NULL,
train_id int FOREIGN KEY REFERENCES trains(id) not null, --некластеризованный индекс
route_id int FOREIGN KEY REFERENCES [routes](id) not null, --некластеризованный индекс
flight_date date NOT NULL --некластеризованный индекс
)
CREATE NONCLUSTERED INDEX NT_train_id
ON timetable(train_id)
CREATE NONCLUSTERED INDEX NT_route_id
ON timetable(route_id)
CREATE NONCLUSTERED INDEX NT_flight_date
ON timetable(flight_date)
create table pay
(
id INT PRIMARY KEY IDENTITY(1,1) not null, --кластеризованный индекс
creat_date datetime2 NOT NULL,
ticket_id int FOREIGN KEY REFERENCES ticket(id) not null, --некластеризованный индекс
condition bit not null --некластеризованный индекс
)
CREATE NONCLUSTERED INDEX NT_ticket_id
ON pay(ticket_id)
CREATE NONCLUSTERED INDEX NT_condition
ON pay(condition)
|
SELECT aluno.primeiro_nome, aluno.ultimo_nome, COUNT(aluno_curso.curso_id) as numero_cursos
FROM aluno
INNER JOIN aluno_curso ON aluno_curso.aluno_id = aluno.id
GROUP BY 1,2
ORDER BY numero_cursos DESC
LIMIT 1;
SELECT curso.nome, COUNT(aluno_curso.aluno_id) numero_alunos
FROM curso
INNER JOIN aluno_curso ON aluno_curso.curso_id = curso.id
GROUP BY curso.nome
ORDER BY numero_alunos DESC
LIMIT 1;
SELECT categoria.nome, COUNT(aluno_curso.aluno_id) numero_cursos
FROM categoria
INNER JOIN curso ON curso.categoria_id = categoria.id
INNER JOIN aluno_curso ON aluno_curso.curso_id = curso.id
GROUP BY 1
ORDER BY numero_cursos DESC;
|
insert into offer(discounted_price, original_price, product_name, shop, until_date, views)
VALUES(200.0, 400.0,'Rower Goral','Tesco','2018-12-07',0),
(5000.0, 10000.0,'Telewizor Samsung','Carrefour','2018-12-31',0),
(4205.0, 5050.0,'Fotel Maxima','Auchan','2019-01-09',0),
(3000.0, 3400.0,'Komórka Iphone X','Carrefour','2018-12-24',0),
(1700.0, 2000.0,'Konsola PS4','Tesco','2018-12-22',0); |
select emp_id,sum(hours_worked) as tot_hours,Experience,type_id
from date_log natural join Employee
group by emp_id; |
.mode csv
.sep |
.import DIR/region.tbl region
.import DIR/nation.tbl nation
.import DIR/supplier.tbl supplier
.import DIR/customer.tbl customer
.import DIR/part.tbl part
.import DIR/partsupp.tbl partsupp
.import DIR/orders.tbl orders
.import DIR/lineitem.tbl lineitem
|
ALTER TABLE account
ADD column manager varchar(60) default NULL
AFTER em_logo_image;
|
-- JSON output for BrAPI calls:
-- - /brapi/v1/trials/{id}
-- https://github.com/plantbreeding/API/blob/master/Specification/Trials/GetTrialById.md
SELECT json_agg(json_build_object(
'trialDbId', t.trialDbId,
'trialName', t.name,
'startDate', t.startDate,
'endDate', t.endDate,
'active', t.active,
'programDbId', p.programDbId,
'programName', p.name,
'datasetAuthorship', json_build_object(
'licence', t.datasetAuthorshipLicence,
'datasetPUI', t.datasetAuthorshipDatasetPUI
),
'contacts', array(
SELECT json_build_object(
'contactDbId', c.contactDbId,
'name', c.name,
'instituteName', c.instituteName,
'email', c.email,
'type', c.type,
'orcid', c.orcid
)
FROM trial_contact tc
JOIN contact c
ON c.contactDbId = tc.contactDbId
AND tc.trialDbId = t.trialDbId
),
'studies', array(
SELECT json_build_object(
'studyDbId', s.studyDbId,
'studyName', s.name,
'locationName', l.name
)
FROM study s
LEFT JOIN location l
ON l.locationDbId = s.locationDbId
WHERE s.trialDbId = t.trialDbId
),
-- Aggregate trial_additional_info for the current trial into a single json object
'additionalInfo', (
SELECT json_object_agg(key, value)
FROM (
SELECT
tai.key AS key, -- info key
CASE WHEN count(tai.value) = 1
THEN to_json(string_agg(tai.value, '')) -- value as simple text
ELSE json_agg(tai.value) -- value as array of text
END AS value
FROM trial_additional_info tai
WHERE tai.trialDbId = t.trialDbId
GROUP BY key
) ai
)
))
FROM trial t
LEFT JOIN program p
ON p.programDbId = t.programDbId
|
drop table if exists AssignedTo;
CREATE TABLE AssignedTo (
doctorID integer,
patientID integer,
FOREIGN KEY (doctorID) references Doctor (employeeID),
FOREIGN KEY (patientID) references Admits (patientID),
PRIMARY KEY (doctorID, patientID)
);
|
SELECT survey.zipcode,
survey.city,
survey.state,
survey.agency,
survey.swnftemp,
survey.ftgangoff,
survey.ftdrugoff,
survey.ftterroff,
survey.numcpo,
survey.drivhis,
survey.cultdiv,
survey.white,
survey.black,
survey.hispanic,
survey.asian,
survey.nathaw,
survey.amerind,
survey.multrace,
survey.unkrace,
survey.male,
survey.female,
survey.carpat,
survey.footpat,
survey.cptrnnew,
survey.cptrninserv,
survey.cpmission,
survey.cpplan,
survey.cpnone,
survey.lessthanplcy,
survey.racialprplcy,
survey.numuofoth,
ratio.year,ratio.searches_over_stops_black_over_white AS "rpsi"
FROM searches_over_stops ratio
JOIN nc_police_survey survey ON survey.agency_id = ratio.agency_id; |
SELECT DISTINCT A.FleteID,
A.ProveedorID,
A.ComprobanteID,
A.Serie,
A.Numero,
Format(A.Monto,"#,##0.00;(#,##0.00)") AS Monto,
Format(A.Jabas,"#,##0;(#,##0)") AS Jabas
FROM TB_Flete AS A;
|
/* Formatted on 21/07/2014 18:33:03 (QP5 v5.227.12220.39754) */
CREATE OR REPLACE FORCE VIEW MCRE_OWN.V_MCRE0_APP_ALLINEA_SAG
(
COD_ABI_CARTOLARIZZATO,
COD_ABI_ISTITUTO,
COD_SNDG,
COD_NDG,
DESC_ISTITUTO,
DESC_BREVE,
DESC_NOME_CONTROPARTE,
FLG_TARGET,
FLG_OUTSOURCING,
FLG_ABI_LAVORATO,
COD_STATO,
DTA_DECORRENZA_STATO,
COD_MACROSTATO,
COD_PROCESSO,
COD_PERCORSO,
COD_STATO_PRECEDENTE,
SCSB_ESPOSIZIONE,
COD_GRUPPO_ECONOMICO,
COD_GRUPPO_LEGAME,
COD_GRUPPO_SUPER,
COD_SAG,
VAL_CNT
)
AS
SELECT /*+ordered no_parallel(s) no_parallel(q)*/
-- V1 27/05/2011 VG Solo utilizzato
-- v2 17/06/2011 VG: New PCR
"COD_ABI_CARTOLARIZZATO",
"COD_ABI_ISTITUTO",
"COD_SNDG",
"COD_NDG",
"DESC_ISTITUTO",
"DESC_BREVE",
"DESC_NOME_CONTROPARTE",
"FLG_TARGET",
"FLG_OUTSOURCING",
"FLG_ABI_LAVORATO",
"COD_STATO",
"DTA_DECORRENZA_STATO",
"COD_MACROSTATO",
"COD_PROCESSO",
"COD_PERCORSO",
"COD_STATO_PRECEDENTE",
"SCSB_ESPOSIZIONE",
"COD_GRUPPO_ECONOMICO",
"COD_GRUPPO_LEGAME",
"COD_GRUPPO_SUPER",
"COD_SAG",
"VAL_CNT"
FROM (SELECT X.COD_ABI_CARTOLARIZZATO,
X.COD_ABI_ISTITUTO,
X.COD_SNDG,
X.COD_NDG,
X.DESC_ISTITUTO,
X.DESC_BREVE,
X.DESC_NOME_CONTROPARTE,
DECODE (X.FLG_TARGET, 'Y', '1', '0') FLG_TARGET,
DECODE (X.FLG_OUTSOURCING, 'Y', '1', '0') FLG_OUTSOURCING,
NVL (
DECODE (
P.DTA_ABI_ELAB,
(SELECT MAX (P.DTA_ABI_ELAB) DTA_ABI_ELAB_MAX
FROM T_MCRE0_APP_ABI_ELABORATI), '1',
'0'),
'0')
FLG_ABI_LAVORATO,
NVL (X.COD_STATO, 'BO') COD_STATO,
X.DTA_DECORRENZA_STATO,
NVL (X.COD_MACROSTATO, 'BO') COD_MACROSTATO,
DECODE (X.TODAY_FLG, '1', X.COD_PROCESSO, NULL) COD_PROCESSO,
DECODE (X.TODAY_FLG, '1', X.COD_PERCORSO, TO_NUMBER (NULL))
COD_PERCORSO,
DECODE (X.TODAY_FLG, '1', X.COD_STATO_PRECEDENTE, NULL)
COD_STATO_PRECEDENTE,
X.SCSB_UTI_TOT SCSB_ESPOSIZIONE,
X.COD_GRUPPO_ECONOMICO,
X.COD_GRUPPO_LEGAME,
NVL (X.COD_GRUPPO_SUPER_OLD, X.COD_GRUPPO_SUPER)
COD_GRUPPO_SUPER,
S.COD_SAG,
COUNT (*) OVER (PARTITION BY X.COD_SNDG) VAL_CNT
FROM T_MCRE0_APP_ALERT_POS Q,
T_MCRE0_APP_SAG S,
V_MCRE0_APP_UPD_FIELDS_P1 P,
-- todo_verificare che sia sufficiente lavorare sulla partizione attiva
V_MCRE0_APP_UPD_FIELDS_ALL X
WHERE Q.ALERT_2 IS NOT NULL
AND Q.COD_ABI_CARTOLARIZZATO = P.COD_ABI_CARTOLARIZZATO
AND Q.COD_NDG = P.COD_NDG
AND NVL (P.COD_GRUPPO_SUPER_OLD, P.COD_GRUPPO_SUPER) =
NVL (X.COD_GRUPPO_SUPER_OLD, X.COD_GRUPPO_SUPER)
AND X.COD_SNDG = S.COD_SNDG(+)
AND S.FLG_CONFERMA(+) = 'S')
WHERE VAL_CNT > 1;
|
SELECT * FROM (SELECT * FROM GermplasmStockNameSearch_wrk WHERE name LIKE 'CS2360%' ESCAPE '\') t0
WHERE t0.germplasm_id IN
(SELECT germplasm_id FROM GermplasmDonorNameSearch_wrk t1 WHERE name LIKE '%FELDMANN%' ESCAPE '\') |
CREATE TABLE IF NOT EXISTS `estados` (
`estado_id` int(11) NOT NULL AUTO_INCREMENT,
`estado` varchar(250) NOT NULL,
`pais_id` varchar(4) NOT NULL,
PRIMARY KEY (`id_estado`),
FOREIGN KEY(pais) REFERENCES pais(pais_id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=26 ;
INSERT INTO `estado`(`estado_id`, `nombreestado`, `pais_id`) VALUES
('', 'Amazonas', '208'),
('', 'Anzoátegui', '208'),
('', 'Apure', '208'),
('', 'Aragua', '208'),
('', 'Barinas', '208'),
('', 'Bolívar', '208'),
('', 'Carabobo', '208'),
('', 'Cojedes', '208'),
('', 'Delta Amacuro', '208'),
('', 'Distrito Capital', '208'),
('', 'Falcón', '208'),
('', 'Guárico', '208'),
('', 'Lara', '208'),
('', 'Mérida', '208'),
('', 'Miranda', '208'),
('', 'Monagas', '208'),
('', 'Nueva Esparta', '208'),
('', 'Portuguesa', '208'),
('', 'Sucre', '208'),
('', 'Táchira', '208'),
('', 'Trujillo', '208'),
('', 'Vargas (La Guaira)', '208'),
('', 'Yaracuy', '208'),
('', 'Zulia', '208'),
('', 'Dependencias Federales', '208');
|
CREATE PROC ERP.Usp_Del_Familia
@IdFamilia INT,
@IdEmpresa INT
AS
BEGIN
DELETE ERP.Familia WHERE ID = @IdFamilia AND IdEmpresa = @IdEmpresa
END
|
-- phpMyAdmin SQL Dump
-- version 4.9.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 28, 2021 at 06:12 AM
-- Server version: 10.4.8-MariaDB
-- PHP Version: 7.3.11
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: `pchat`
--
-- --------------------------------------------------------
--
-- Table structure for table `chat_message`
--
CREATE TABLE `chat_message` (
`chat_message_id` int(11) NOT NULL,
`to_user_id` int(11) NOT NULL,
`from_user_id` int(11) NOT NULL,
`chat_message` text NOT NULL,
`timestamp` timestamp NOT NULL DEFAULT current_timestamp(),
`status` int(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `chat_message`
--
INSERT INTO `chat_message` (`chat_message_id`, `to_user_id`, `from_user_id`, `chat_message`, `timestamp`, `status`) VALUES
(1, 1, 3, 'hi', '2021-01-26 05:18:11', 0),
(2, 3, 1, 'hello', '2021-01-26 05:18:40', 0),
(3, 1, 6, 'hi', '2021-01-26 07:54:23', 0),
(4, 6, 3, 'hi', '2021-01-26 08:04:35', 0),
(5, 3, 6, 'hello', '2021-01-26 08:05:21', 1),
(6, 2, 1, 'Hi', '2021-01-26 13:40:23', 0),
(7, 2, 1, 'I am Patil', '2021-01-26 13:42:05', 0),
(8, 1, 2, 'Hello Patil', '2021-01-26 13:48:32', 0),
(9, 1, 2, 'Nice meeting you.', '2021-01-26 14:34:10', 0),
(10, 2, 1, 'Same here', '2021-01-26 14:34:53', 0),
(11, 2, 1, 'Testing', '2021-01-26 14:35:58', 0),
(12, 2, 1, 'Testing once more', '2021-01-26 14:39:21', 0),
(13, 2, 1, 'test now', '2021-01-26 14:40:19', 0),
(14, 2, 1, 'test', '2021-01-26 14:41:10', 0),
(15, 2, 1, 'hello', '2021-01-26 14:41:55', 0),
(16, 1, 2, 'hi', '2021-01-26 14:42:23', 0),
(17, 1, 2, 'now', '2021-01-26 14:46:21', 0),
(18, 1, 2, 'working', '2021-01-26 14:46:28', 0),
(19, 2, 1, 'yes', '2021-01-26 14:47:08', 0),
(20, 1, 2, 'test', '2021-01-26 15:00:28', 0),
(21, 2, 1, 'hi', '2021-01-26 15:00:37', 0),
(22, 3, 1, 'How are you\n', '2021-01-27 06:09:40', 1),
(23, 1, 2, 'Hello', '2021-01-27 06:20:53', 0),
(24, 3, 1, 'Testing', '2021-01-27 06:21:15', 1),
(25, 6, 1, 'Hello', '2021-01-27 06:41:38', 1),
(26, 2, 1, 'test', '2021-01-27 07:00:20', 0),
(27, 3, 1, 'test', '2021-01-27 07:00:38', 1),
(28, 6, 1, 'test', '2021-01-27 07:01:19', 1),
(29, 6, 1, 'test', '2021-01-27 07:05:39', 1),
(30, 2, 1, 'test', '2021-01-27 07:05:55', 0),
(31, 1, 2, 'Working perfectly.', '2021-01-27 19:24:23', 0),
(32, 2, 1, 'Thank you for your ML notes.', '2021-01-28 04:20:58', 1);
-- --------------------------------------------------------
--
-- Table structure for table `login`
--
CREATE TABLE `login` (
`user_id` int(11) NOT NULL,
`username` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `login`
--
INSERT INTO `login` (`user_id`, `username`) VALUES
(1, 'nbpatil'),
(2, 'varun'),
(3, 'lkeerthi'),
(6, 'gani');
-- --------------------------------------------------------
--
-- Table structure for table `login_details`
--
CREATE TABLE `login_details` (
`login_details_id` int(11) NOT NULL,
`user_id` int(11) NOT NULL,
`last_activity` timestamp NOT NULL DEFAULT current_timestamp(),
`is_type` enum('no','yes') NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `login_details`
--
INSERT INTO `login_details` (`login_details_id`, `user_id`, `last_activity`, `is_type`) VALUES
(1, 1, '2021-01-26 05:24:43', 'no'),
(2, 3, '2021-01-26 05:23:11', 'no'),
(3, 3, '2021-01-26 05:36:07', 'no'),
(4, 3, '2021-01-26 06:33:34', 'no'),
(5, 1, '2021-01-26 14:20:36', 'no'),
(6, 1, '2021-01-26 14:27:12', 'no'),
(7, 1, '2021-01-26 14:59:15', 'no'),
(8, 2, '2021-01-26 19:08:44', 'no'),
(9, 1, '2021-01-26 15:00:51', 'no'),
(10, 1, '2021-01-27 13:26:26', 'no'),
(11, 2, '2021-01-27 06:22:06', 'no'),
(12, 2, '2021-01-27 13:55:00', 'no'),
(13, 2, '2021-01-27 17:42:22', 'no'),
(14, 1, '2021-01-27 19:27:29', 'no'),
(15, 2, '2021-01-27 19:24:31', 'no'),
(16, 2, '2021-01-27 19:36:45', 'no'),
(17, 1, '2021-01-28 04:11:21', 'no'),
(18, 1, '2021-01-28 04:21:40', 'no'),
(19, 2, '2021-01-28 04:27:24', 'no'),
(20, 1, '2021-01-28 05:07:53', 'no');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `chat_message`
--
ALTER TABLE `chat_message`
ADD PRIMARY KEY (`chat_message_id`);
--
-- Indexes for table `login`
--
ALTER TABLE `login`
ADD PRIMARY KEY (`user_id`);
--
-- Indexes for table `login_details`
--
ALTER TABLE `login_details`
ADD PRIMARY KEY (`login_details_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `chat_message`
--
ALTER TABLE `chat_message`
MODIFY `chat_message_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=33;
--
-- AUTO_INCREMENT for table `login`
--
ALTER TABLE `login`
MODIFY `user_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `login_details`
--
ALTER TABLE `login_details`
MODIFY `login_details_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=21;
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 */;
|
-- total_sales_{year}.sql: What are the respective total sales for each of those years?
SELECT strftime('%Y', InvoiceDate) as Year,
SUM(total)
from Invoice
where strftime('%Y', InvoiceDate) = '2009' or
strftime('%Y', InvoiceDate) = '2011'
GROUP BY strftime('%Y',InvoiceDate);
-- Results:
-- InvoiceDate | SUM(Total)
-- ==================================================
-- 2009 | 449.46
-- 2011 | 469.58 |
# ---------------------------------------------------------------------- #
# Script generated with: DeZign for Databases V10.0.2 #
# Target DBMS: MySQL 5 #
# Project file: databse_markaty.dez #
# Project name: #
# Author: #
# Script type: Database drop script #
# Created on: 2020-11-10 20:31 #
# ---------------------------------------------------------------------- #
# ---------------------------------------------------------------------- #
# Drop foreign key constraints #
# ---------------------------------------------------------------------- #
ALTER TABLE `tb_empresa` DROP FOREIGN KEY `tb_catalogo_tb_empresa`;
ALTER TABLE `tb_empresa` DROP FOREIGN KEY `tb_cidade_tb_empresa`;
ALTER TABLE `tb_admin` DROP FOREIGN KEY `tb_empresa_tb_admin`;
ALTER TABLE `tb_sobre` DROP FOREIGN KEY `tb_empresa_tb_sobre`;
ALTER TABLE `tb_produto` DROP FOREIGN KEY `tb_tipo_produto_tb_produto`;
ALTER TABLE `tb_banner` DROP FOREIGN KEY `tb_empresa_tb_banner`;
ALTER TABLE `tb_catalogo_produto` DROP FOREIGN KEY `tb_catalogo_tb_catalogo_produto`;
ALTER TABLE `tb_catalogo_produto` DROP FOREIGN KEY `tb_produto_tb_catalogo_produto`;
ALTER TABLE `tb_cidade` DROP FOREIGN KEY `tb_estado_tb_cidade`;
ALTER TABLE `tb_qualidade` DROP FOREIGN KEY `tb_empresa_tb_qualidade`;
ALTER TABLE `tb_produto_imagem` DROP FOREIGN KEY `tb_produto_tb_produto_imagem`;
ALTER TABLE `tb_produto_imagem` DROP FOREIGN KEY `tb_imagem_tb_produto_imagem`;
# ---------------------------------------------------------------------- #
# Drop table "tb_qualidade" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_qualidade` MODIFY `cod_qualidade` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_qualidade` DROP PRIMARY KEY;
DROP TABLE `tb_qualidade`;
# ---------------------------------------------------------------------- #
# Drop table "tb_banner" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_banner` MODIFY `cod_banner` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_banner` DROP PRIMARY KEY;
DROP TABLE `tb_banner`;
# ---------------------------------------------------------------------- #
# Drop table "tb_sobre" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_sobre` MODIFY `cod_sobre` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_sobre` DROP PRIMARY KEY;
DROP TABLE `tb_sobre`;
# ---------------------------------------------------------------------- #
# Drop table "tb_admin" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_admin` MODIFY `cod_admin` INTEGER NOT NULL;
# Drop constraints #
DROP TABLE `tb_admin`;
# ---------------------------------------------------------------------- #
# Drop table "tb_empresa" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_empresa` MODIFY `cod_empresa` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_empresa` DROP PRIMARY KEY;
DROP TABLE `tb_empresa`;
# ---------------------------------------------------------------------- #
# Drop table "tb_produto_imagem" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_produto_imagem` MODIFY `cod_produto_imagem` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_produto_imagem` DROP PRIMARY KEY;
DROP TABLE `tb_produto_imagem`;
# ---------------------------------------------------------------------- #
# Drop table "tb_cidade" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_cidade` MODIFY `cod_cidade` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_cidade` DROP PRIMARY KEY;
DROP TABLE `tb_cidade`;
# ---------------------------------------------------------------------- #
# Drop table "tb_catalogo_produto" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_catalogo_produto` MODIFY `cod_catalogo_produto` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_catalogo_produto` DROP PRIMARY KEY;
DROP TABLE `tb_catalogo_produto`;
# ---------------------------------------------------------------------- #
# Drop table "tb_produto" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_produto` MODIFY `cod_produto` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_produto` DROP PRIMARY KEY;
DROP TABLE `tb_produto`;
# ---------------------------------------------------------------------- #
# Drop table "tb_imagem" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_imagem` MODIFY `cod_imagem` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_imagem` DROP PRIMARY KEY;
DROP TABLE `tb_imagem`;
# ---------------------------------------------------------------------- #
# Drop table "tb_estado" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_estado` MODIFY `cod_estado` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_estado` DROP PRIMARY KEY;
DROP TABLE `tb_estado`;
# ---------------------------------------------------------------------- #
# Drop table "tb_tipo_produto" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_tipo_produto` MODIFY `cod_tipo_produto` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_tipo_produto` DROP PRIMARY KEY;
DROP TABLE `tb_tipo_produto`;
# ---------------------------------------------------------------------- #
# Drop table "tb_catalogo" #
# ---------------------------------------------------------------------- #
# Remove autoinc for PK drop #
ALTER TABLE `tb_catalogo` MODIFY `cod_catalogo` INTEGER NOT NULL;
# Drop constraints #
ALTER TABLE `tb_catalogo` DROP PRIMARY KEY;
DROP TABLE `tb_catalogo`;
drop procedure sel_empresa;
drop procedure sel_empresa_especifica;
drop procedure update_empresa;
drop procedure sel_sobre;
drop procedure insere_sobre;
drop procedure sel_sobre_especifico;
drop procedure update_sobre;
drop procedure sel_banner;
drop procedure sel_banner_especifico;
drop procedure insere_banner;
drop procedure update_banner;
drop procedure sel_qualidade;
drop procedure sel_qualidade_especifico;
drop procedure insere_qualidade;
drop procedure update_qualidade;
drop procedure sel_catalogo;
drop procedure insere_catalogo;
drop procedure sel_catalogo_especifico;
drop procedure update_catalogo;
drop procedure sel_produto;
drop procedure insere_produto;
drop procedure insere_imagem;
drop procedure sel_produto_nome;
drop procedure sel_produto_especifico;
drop procedure sel_imagens_produto_nome;
drop procedure sel_imagens_produto_cod;
drop procedure update_produto;
drop procedure sel_imagens_cod;
drop procedure sel_tipo_produto;
drop procedure insere_tipo_produto;
drop procedure sel_tipo_produto_especifico;
drop procedure update_tipo_produto;
drop procedure sel_admin;
drop procedure sel_admin_especifico;
drop procedure insere_admin;
drop procedure update_admin;
drop procedure sel_cidade_cod; |
select * from Models.ModelTypes
exec Models.procTrainModelTemporal @modelTypeId = 1
select * From Models.ModelVersionsTemporal
select * From Models.ModelVersionsTemporalHistory |
drop table if exists oh_retiree_ts_mail_raw;
create temp table oh_retiree_ts_mail_raw as
select
dwid
,statefileid
,regaddrstate
,source
,xpbb_propensity_purchased_through_the_mail_code
,xpbb_propensity_mail_order_multibuyer_code
, case when vb_vf_absentee_status = 'Yes' then 1 else 0 end vb_vf_absentee_status_y
, case when xpbb_behaviorbank_purchased_through_the_mail = 'Y' then 1 else 0 end as xpbb_behaviorbank_purchased_through_the_mail_y
, case when xpbb_behaviorbank_purchased_through_the_mail = 'U' then 1 else 0 end as xpbb_behaviorbank_purchased_through_the_mail_u
, case when xpbb_behaviorbank_mail_order_buyer_music_video = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_music_video
, case when xpbb_behaviorbank_mail_order_buyer_books_magazines = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_books_magazines
, case when xpbb_behaviorbank_mail_order_buyer_clothing_shoes = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_clothing_shoes
, case when xpbb_behaviorbank_mail_order_buyer_insurance_finance = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_insurance_finance
, case when xpbb_behaviorbank_mail_order_buyer_gifts = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_gifts
, case when xpbb_behaviorbank_mail_order_buyer_gardening = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_gardening
, case when xpbb_behaviorbank_mail_order_buyer_jewelry_cosmetics = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_buyer_jewelry_cosmetics
, case when xpbb_behaviorbank_mail_order_multibuyer = 'Y' then 1 else 0 end as xpbb_behaviorbank_mail_order_multibuyer
, case when xpbb_hhlifestylinfo_buyingperf_info_by_mail = 'Y' then 1 else 0 end as xpbb_hhlifestylinfo_buyingperf_info_by_mail
, case when xpbb_hhlifestylbuying_interestby_mail = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestby_mail
, case when xpbb_hhlifestylbuying_interestmail_order_clothing = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_order_clothing
, case when xpbb_hhlifestylbuying_interestmail_order_gardening = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_order_gardening
, case when xpbb_hhlifestylbuying_interestmail_order_gift = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_order_gift
, case when xpbb_hhlifestylbuying_interestmail_books_magazines = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_books_magazines
, case when xpbb_hhlifestylbuying_interestmail_children_products = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_children_products
, case when xpbb_hhlifestylbuying_interestmail_jewelry_cosmetics = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_jewelry_cosmetics
, case when xpbb_hhlifestylbuying_interestmail_music_videos = 'Y' then 1 else 0 end as xpbb_hhlifestylbuying_interestmail_music_videos
, case when xpg_mail_responder = 'M' then 1 else 0 end as xpg_mail_responder_multibuyer
, case when xpg_mail_responder = 'Y' then 1 else 0 end as xpg_mail_responder_singlebuyer
, case when xpbb_behaviorbank_mail_order_buyer_music_video = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_buyer_books_magazines = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_buyer_clothing_shoes = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_buyer_insurance_finance = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_buyer_gifts = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_buyer_gardening = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_buyer_jewelry_cosmetics = 'Y' then 1 else 0 end +
case when xpbb_behaviorbank_mail_order_multibuyer = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylinfo_buyingperf_info_by_mail = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestby_mail = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_order_clothing = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_order_gardening = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_order_gift = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_books_magazines = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_children_products = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_jewelry_cosmetics = 'Y' then 1 else 0 end +
case when xpbb_hhlifestylbuying_interestmail_music_videos = 'Y' then 1 else 0 end as mail_flags
from oh_pension_all_11222017 p
inner join ts.usa on statefileid=vb_voterid and regaddrstate=vb_vf_source_state;
drop table if exists oh_ret_ts_impute;
create temp table oh_ret_ts_impute as
select
dwid
,statefileid
,regaddrstate
,case when source is null then null
else avg(t.xpbb_propensity_purchased_through_the_mail_code) over(partition by source) end as source_mailcode
,case when source is null then null
else avg(t.xpbb_propensity_purchased_through_the_mail_code) over(partition by vb_vf_source_state) end as state_mailcode
, case when source is null then null
else avg(t.xpbb_propensity_mail_order_multibuyer_code) over(partition by source) end as source_multibuyer_code
, case when vb_vf_source_state is null then null
else avg(t.xpbb_propensity_mail_order_multibuyer_code) over(partition by vb_vf_source_state) end as state_multibuyer_code
,case when source is null then null
else avg(mail_flags) over(partition by source) end as source_mail_flags
,case when vb_vf_source_state is null then null
else avg(mail_flags) over(partition by vb_vf_source_state) end as state_mail_flags
from oh_retiree_ts_mail_raw p
inner join ts.usa t on statefileid=vb_voterid and regaddrstate=vb_vf_source_state;
drop table if exists oh_ret_ts_mail;
create table oh_ret_ts_mail as
select
p.dwid
, coalesce(p.xpbb_propensity_purchased_through_the_mail_code, t.source_mailcode, t.state_mailcode) as xpbb_propensity_purchased_through_the_mail_code
, coalesce(p.xpbb_propensity_mail_order_multibuyer_code, t.source_multibuyer_code, t.state_multibuyer_code) as xpbb_propensity_mail_order_multibuyer_code
, coalesce(p.mail_flags, t.source_mail_flags, t.state_mail_flags)
, vb_vf_absentee_status_y
, xpbb_behaviorbank_purchased_through_the_mail_y
, xpbb_behaviorbank_purchased_through_the_mail_u
, xpbb_behaviorbank_mail_order_buyer_music_video
, xpbb_behaviorbank_mail_order_buyer_books_magazines
, xpbb_behaviorbank_mail_order_buyer_clothing_shoes
, xpbb_behaviorbank_mail_order_buyer_insurance_finance
, xpbb_behaviorbank_mail_order_buyer_gifts
, xpbb_behaviorbank_mail_order_buyer_gardening
, xpbb_behaviorbank_mail_order_buyer_jewelry_cosmetics
, xpbb_hhlifestylinfo_buyingperf_info_by_mail
, xpbb_hhlifestylbuying_interestby_mail
, xpbb_hhlifestylbuying_interestmail_order_clothing
, xpbb_hhlifestylbuying_interestmail_order_gardening
, xpbb_hhlifestylbuying_interestmail_order_gift
, xpbb_hhlifestylbuying_interestmail_books_magazines
, xpbb_hhlifestylbuying_interestmail_children_products
, xpbb_hhlifestylbuying_interestmail_jewelry_cosmetics
, xpbb_hhlifestylbuying_interestmail_music_videos
, xpg_mail_responder_multibuyer
, xpg_mail_responder_singlebuyer
from oh_retiree_ts_mail_raw p
inner join oh_ret_ts_impute t using (statefileid)
;
|
SELECT MID(ICOD,1,9) AS MODELO_PADRE,
CATDESCR AS TIENDA,
IDESCR AS DESCRIPCION,
FAM1.FAMDESCR AS PROVEEDOR,
FAM2.FAMDESCR AS DEPARTAMENTO,
FAM3.FAMDESCR AS TIPO,
FAM4.FAMDESCR AS SUBTIPO,
FAM5.FAMDESCR AS PERSONAJE,
FAM6.FAMDESCR AS TRIMESTRE,
FAM7.FAMDESCR AS DISEÑADOR,
FAM8.FAMDESCR AS LICENCIA,
FAM9.FAMDESCR AS TIPO_DE_LICENCIA,
AICANTF AS VENTA_UNIDADES,
AICOSTO AS COSTO,
AIPRECIO AS PRECIO,
DFECHA AS FECHA
FROM FAXINV
LEFT JOIN FDOC ON FDOC.DSEQ=FAXINV.DSEQ
LEFT JOIN FINV ON FINV.ISEQ=FAXINV.ISEQ
LEFT JOIN FCLI ON FCLI.CLISEQ=FDOC.CLISEQ
LEFT JOIN FUNIDAD ON FUNIDAD.UCOD=FINV.IUM
LEFT JOIN FALMCAT ON FALMCAT.CATALM = FDOC.DALMACEN
LEFT JOIN FAG ON FAG.AGTNUM = FDOC.DPAR1
LEFT JOIN FFAM AS FAM1 ON FAM1.FAMTNUM=FINV.IFAM1
LEFT JOIN FFAM AS FAM2 ON FAM2.FAMTNUM=FINV.IFAM2
LEFT JOIN FFAM AS FAM3 ON FAM3.FAMTNUM=FINV.IFAM3
LEFT JOIN FFAM AS FAM4 ON FAM4.FAMTNUM=FINV.IFAM4
LEFT JOIN FFAM AS FAM5 ON FAM5.FAMTNUM=FINV.IFAM5
LEFT JOIN FFAM AS FAM6 ON FAM6.FAMTNUM=FINV.IFAM6
LEFT JOIN FFAM AS FAM7 ON FAM7.FAMTNUM=FINV.IFAM7
LEFT JOIN FFAM AS FAM8 ON FAM8.FAMTNUM=FINV.IFAM8
LEFT JOIN FFAM AS FAM9 ON FAM9.FAMTNUM=FINV.IFAM9
LEFT JOIN FFAM AS FAMA ON FAMA.FAMTNUM=FINV.IFAMA
WHERE DITIPMV='T' AND DFECHA>='2020-01-24' AND DFECHA<='2020-02-24' AND DALMACEN<> 301 AND DALMACEN <>302 AND DALMACEN <799 |
/*
################################################################################
Add SHORT_FORM column to EFO_TRAIT table
This column is used to store the URI short form or ID of an ontology term.
author: Dani Welter
date: 158h September 2017
version: 2.2.0.37
################################################################################
*/
--------------------------------------------------------
-- Add SHORT_FORM field to EFO_TRAIT table
--------------------------------------------------------
ALTER TABLE "EFO_TRAIT" ADD ("SHORT_FORM" VARCHAR2(255 CHAR));
|
CREATE TABLE IF NOT EXISTS `equipment` (
`equipmentId` int(11) NOT NULL AUTO_INCREMENT,
`url` longtext DEFAULT NULL COMMENT '页面Url',
`userAgent` longtext DEFAULT NULL COMMENT '设备信息',
`ip` varchar(50) DEFAULT NULL COMMENT '用户ip',
`createTime` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
|
-- phpMyAdmin SQL Dump
-- version 4.8.5
-- https://www.phpmyadmin.net/
--
-- 主机： localhost
-- 生成日期： 2020-04-05 20:49:51
-- 服务器版本： 5.6.47-log
-- PHP 版本： 7.3.5
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- 数据库： `dormitory`
--
-- --------------------------------------------------------
--
-- 表的结构 `announcement`
--
CREATE TABLE `announcement` (
`ID` int(11) NOT NULL,
`Atime` datetime NOT NULL,
`houseparentID` varchar(12) NOT NULL,
`content` text NOT NULL,
`title` varchar(25) NOT NULL,
`govern` varchar(12) NOT NULL,
`houseparentName` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `announcement`
--
INSERT INTO `announcement` (`ID`, `Atime`, `houseparentID`, `content`, `title`, `govern`, `houseparentName`) VALUES
(11, '2020-04-02 19:44:58', '20001', '名单如下:\nA101、A224、A404、A666\n希望以上宿舍再接再厉！', 'A栋2月卫生标兵宿舍表彰', 'A', '李月'),
(13, '2020-04-02 20:28:20', '12', '今天下午，A224林同学在楼道捡到五元，并交到了宿管处，特此表扬林同学！有遗失的同学请尽快来认领！', 'A栋宿舍好人好事表彰', 'A', '张红专'),
(14, '2020-04-02 20:34:15', '10000', '各位同学，四月份我们将开展全体宿舍卫生检查，请大家提前搞好卫生！谢谢合作！', '关于四月宿舍卫生检查事项', 'A', '李建国'),
(16, '2020-04-02 21:01:14', '1', '在2019年4月时，经过一整月的考察，发现以下宿舍卫生突出，在此特别表彰:\nA224，A335，A446\n希望这些宿舍再接再厉！', '2019年4月优秀宿舍表彰', 'A', '王大海'),
(17, '2020-04-02 21:02:53', '1', '在2019年5月时，经过一整月的考察，发现以下宿舍卫生突出，在此特别表彰:\r\nA224，A333，A555\r\n希望这些宿舍再接再厉！', '2019年5月优秀宿舍表彰', 'A', '王大海'),
(18, '2020-04-02 21:03:49', '1', '在2019年6月时，经过一整月的考察，发现以下宿舍卫生突出，在此特别表彰:\r\nA224,A225,A226\r\n希望这些宿舍再接再厉！', '2019年6月优秀宿舍表彰', 'A', '王大海'),
(19, '2020-04-02 21:04:52', '1', '在2019年7月时，经过一整月的考察，发现以下宿舍卫生突出，在此特别表彰:\r\nA101,A224,A665\r\n希望这些宿舍再接再厉！', '2019年7月优秀宿舍表彰', 'A', '王大海'),
(25, '2020-04-02 23:13:57', '1', '无', '标题', 'A', '王大海');
-- --------------------------------------------------------
--
-- 表的结构 `departinfo`
--
CREATE TABLE `departinfo` (
`departID` int(10) UNSIGNED NOT NULL,
`registerDate` datetime NOT NULL,
`ID` varchar(12) NOT NULL,
`dormID` varchar(10) NOT NULL,
`departCause` text NOT NULL,
`departTime` datetime NOT NULL,
`backTime` datetime NOT NULL,
`contact` varchar(12) NOT NULL,
`belong` varchar(12) NOT NULL,
`name` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `departinfo`
--
INSERT INTO `departinfo` (`departID`, `registerDate`, `ID`, `dormID`, `departCause`, `departTime`, `backTime`, `contact`, `belong`, `name`) VALUES
(5, '2020-04-02 19:24:18', '1', 'A101', '肚子疼', '2020-01-15 19:23:00', '2020-03-19 23:28:00', '13412341234', 'A', '小明'),
(6, '2020-04-02 19:40:00', '100', 'A101', '家里有事', '2020-04-01 19:39:00', '2020-04-02 23:39:00', '13312341234', 'A', '小刚'),
(8, '2020-04-02 21:56:48', '10002', 'A105', '生病去看医生', '2020-04-02 21:56:00', '2020-04-03 21:56:00', '13212345678', 'A', '张三');
-- --------------------------------------------------------
--
-- 表的结构 `postsinfo`
--
CREATE TABLE `postsinfo` (
`PostsID` int(10) UNSIGNED NOT NULL,
`LatestReplyTime` datetime NOT NULL,
`PostsDate` datetime NOT NULL,
`ID` varchar(12) NOT NULL,
`name` varchar(10) NOT NULL,
`postsTitle` text NOT NULL,
`postsContent` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `postsinfo`
--
INSERT INTO `postsinfo` (`PostsID`, `LatestReplyTime`, `PostsDate`, `ID`, `name`, `postsTitle`, `postsContent`) VALUES
(32, '2020-04-02 19:26:08', '2020-04-02 19:26:08', '1', '小明', '疫情什么时候才过去啊', '想念无忧无虑的日子'),
(33, '2020-04-02 19:32:16', '2020-04-02 19:32:16', '10', '小红', '熹园约饭', '有姐妹一起来吃饭吗？'),
(34, '2020-04-02 19:40:35', '2020-04-02 19:40:35', '100', '小刚', '下午篮球场', '老铁就等你了'),
(35, '2020-04-02 19:47:51', '2020-04-02 19:47:51', '20002', '王五', '等下有人乐跑吗', '8点半操场乐跑互助[滑稽]'),
(36, '2020-04-02 20:08:00', '2020-04-02 20:08:00', '1', '小明', '什么时候开学啊', '在家都快呆坏了?'),
(37, '2020-04-02 20:37:39', '2020-04-02 20:37:39', '666', '小爱', '新人报道！', '大家好，我是小爱同学'),
(38, '2020-04-02 21:18:15', '2020-04-02 21:18:15', '10001', '张三', '请问有认识17级软件工程的林同学的吗', ''),
(39, '2020-04-03 14:15:00', '2020-04-02 21:46:05', '20172005161', '李三四', '大家好', '我是新同学小小'),
(46, '2020-04-03 14:13:11', '2020-04-03 14:12:49', '10002', '张三', '等下有人去打球吗', '5点半左右');
-- --------------------------------------------------------
--
-- 表的结构 `repairinfo`
--
CREATE TABLE `repairinfo` (
`ApplyID` int(10) UNSIGNED NOT NULL,
`ApplyDate` datetime NOT NULL,
`dormID` varchar(10) NOT NULL,
`RepairName` text,
`DamageCause` text,
`Details` text,
`Contact` varchar(11) NOT NULL,
`OtherRemarks` text,
`belong` varchar(12) NOT NULL,
`Status` smallint(1) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `repairinfo`
--
INSERT INTO `repairinfo` (`ApplyID`, `ApplyDate`, `dormID`, `RepairName`, `DamageCause`, `Details`, `Contact`, `OtherRemarks`, `belong`, `Status`) VALUES
(24, '2020-04-02 19:23:32', 'A101', '灯管', '自然损坏', '昨晚突然暗了', '13412341234', '无', 'A', 0),
(25, '2020-04-02 19:31:21', 'A000', '门', '老鼠咬烂了', '昨晚被老鼠咬烂了', '15012341234', '', 'A', 0),
(26, '2020-04-02 19:42:30', 'A101', '水管', '水管炸了', '昨晚洗澡的时候水压太大，就炸了', '16012341234', '记得顺便看一看另一条水管', 'A', 0),
(27, '2020-04-02 20:20:30', 'A133', '柜子', '不小心踢坏了', '打扫卫生时不小心踢坏了', '17012341234', '无', 'A', 0),
(31, '2020-04-02 22:54:24', 'A105', '日关灯', '灯管烧了', '靠近厕所那边的', '13212345678', '无', 'A', 1);
-- --------------------------------------------------------
--
-- 表的结构 `sendmessageinfo`
--
CREATE TABLE `sendmessageinfo` (
`SendTime` datetime NOT NULL,
`SenderID` varchar(12) CHARACTER SET utf8 NOT NULL,
`SenderName` varchar(10) CHARACTER SET utf8 NOT NULL,
`PostsID` int(11) NOT NULL,
`Message` text
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- 转存表中的数据 `sendmessageinfo`
--
INSERT INTO `sendmessageinfo` (`SendTime`, `SenderID`, `SenderName`, `PostsID`, `Message`) VALUES
('2020-04-03 14:12:54', '10010', '林毅飞', 46, '我去'),
('2020-04-03 14:13:01', '10010', '林毅飞', 46, '带我一个'),
('2020-04-03 14:13:08', '10002', '张三', 46, '好啊'),
('2020-04-03 14:13:11', '10002', '张三', 46, '👌'),
('2020-04-03 14:15:00', '10001', '张五', 39, '你好啊');
-- --------------------------------------------------------
--
-- 表的结构 `signed`
--
CREATE TABLE `signed` (
`SID` varchar(12) NOT NULL,
`recordID` int(11) NOT NULL,
`signedtime` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `signed`
--
INSERT INTO `signed` (`SID`, `recordID`, `signedtime`) VALUES
('10002', 33, '2020-04-02 23:17:54');
-- --------------------------------------------------------
--
-- 表的结构 `signrecord`
--
CREATE TABLE `signrecord` (
`ID` int(11) NOT NULL,
`Rtime` datetime NOT NULL,
`houseparentID` varchar(12) NOT NULL,
`nums` smallint(6) NOT NULL DEFAULT '0',
`title` varchar(30) NOT NULL,
`govern` varchar(12) NOT NULL,
`totalnums` smallint(6) NOT NULL,
`latitude` double NOT NULL,
`longitude` double NOT NULL,
`detailAddress` varchar(50) DEFAULT NULL,
`houseparentName` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `signrecord`
--
INSERT INTO `signrecord` (`ID`, `Rtime`, `houseparentID`, `nums`, `title`, `govern`, `totalnums`, `latitude`, `longitude`, `detailAddress`, `houseparentName`) VALUES
(33, '2020-04-02 23:14:46', '1', 2, '签到', 'A', 7, 23.287762, 116.363803, '广东省汕头市潮南区新华路10号靠近华里西村', '王大海');
-- --------------------------------------------------------
--
-- 表的结构 `stayinfo`
--
CREATE TABLE `stayinfo` (
`stayID` int(10) UNSIGNED NOT NULL,
`registerDate` datetime NOT NULL,
`ID` varchar(12) NOT NULL,
`dormID` varchar(10) NOT NULL,
`startDate` datetime NOT NULL,
`endDate` datetime NOT NULL,
`contact` varchar(12) NOT NULL,
`belong` varchar(12) NOT NULL,
`name` varchar(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `stayinfo`
--
INSERT INTO `stayinfo` (`stayID`, `registerDate`, `ID`, `dormID`, `startDate`, `endDate`, `contact`, `belong`, `name`) VALUES
(5, '2020-04-02 19:24:45', '1', 'A101', '2020-02-12 19:24:00', '2020-03-26 00:24:00', '13412341234', 'A', '小明'),
(6, '2020-04-02 19:31:43', '10', 'A000', '2020-02-05 19:31:00', '2020-04-01 19:31:00', '15012341234', 'A', '小红'),
(7, '2020-04-02 20:21:33', '20001', 'A133', '2020-04-02 14:21:00', '2020-04-02 23:21:00', '17012341234', 'A', '李四'),
(9, '2020-04-02 21:56:25', '10002', 'A105', '2020-04-02 21:56:00', '2020-04-03 21:56:00', '13212345678', 'A', '张三');
-- --------------------------------------------------------
--
-- 表的结构 `userinfo`
--
CREATE TABLE `userinfo` (
`ID` varchar(12) NOT NULL,
`name` varchar(10) NOT NULL,
`dormID` varchar(10) NOT NULL,
`phone` varchar(12) DEFAULT NULL,
`password` varchar(11) NOT NULL,
`nickname` varchar(10) DEFAULT NULL,
`belong` varchar(12) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `userinfo`
--
INSERT INTO `userinfo` (`ID`, `name`, `dormID`, `phone`, `password`, `nickname`, `belong`) VALUES
('1', '小明', 'A101', '121321', '123456', 'HAA', 'A'),
('10', '小红', 'A000', '3131351', '123456', 'HAA', 'A'),
('100', '小刚', 'A101', '5646451', '123456', 'AH', 'A'),
('10001', '张五', 'A101', '13212345678', '123456', '张五', 'A'),
('10002', '张三', 'A105', '13212345678', '123456', '取名字太难了', 'A'),
('10010', '林毅飞', 'A696', '15012351235', '123456', '精神小伙', 'B'),
('20001', '李四', 'A133', '1231456655', '123456', 'mike', 'A'),
('20002', '王五', 'B333', '123456789', '123456', 'didi', 'B'),
('20003', '赵六', 'C414', '134654645', '123456', 'Amy', 'C'),
('20172005161', '李三四', '321', '18924565642', '123456', '小小', 'A'),
('321', '阿Q', 'B000', '1236547890', '123456', 'dada', 'B'),
('666', '小爱', 'C000', '1472583690', '123456', 'OK', 'C');
-- --------------------------------------------------------
--
-- 表的结构 `userinfoh`
--
CREATE TABLE `userinfoh` (
`ID` varchar(12) NOT NULL,
`name` varchar(10) NOT NULL,
`govern` varchar(12) NOT NULL,
`phone` varchar(12) NOT NULL,
`password` varchar(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `userinfoh`
--
INSERT INTO `userinfoh` (`ID`, `name`, `govern`, `phone`, `password`) VALUES
('1', '王大海', 'A', '111111111', '123456'),
('10000', '李建国', 'A', '123456', '123456'),
('12', '张红专', 'A', '12312', '123456'),
('2', '李乐', 'B', '1346516165', '123456'),
('20001', '李月', 'A', '132132465', '123456'),
('20003', '赵有恒', 'C', '1654649894', '123456');
-- --------------------------------------------------------
--
-- 表的结构 `waterandelectricity`
--
CREATE TABLE `waterandelectricity` (
`dorm` varchar(12) CHARACTER SET utf8 NOT NULL,
`waterUrl` text CHARACTER SET utf8 NOT NULL,
`electricityUrl` text CHARACTER SET utf8 NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- 转存表中的数据 `waterandelectricity`
--
INSERT INTO `waterandelectricity` (`dorm`, `waterUrl`, `electricityUrl`) VALUES
('A', 'https://ssp.scnu.edu.cn', ''),
('B', 'https://ssp.scnu.edu.cn', '');
--
-- 转储表的索引
--
--
-- 表的索引 `announcement`
--
ALTER TABLE `announcement`
ADD PRIMARY KEY (`ID`),
ADD KEY `houseparentID` (`houseparentID`);
--
-- 表的索引 `departinfo`
--
ALTER TABLE `departinfo`
ADD PRIMARY KEY (`departID`);
--
-- 表的索引 `postsinfo`
--
ALTER TABLE `postsinfo`
ADD PRIMARY KEY (`PostsID`);
--
-- 表的索引 `repairinfo`
--
ALTER TABLE `repairinfo`
ADD PRIMARY KEY (`ApplyID`);
--
-- 表的索引 `sendmessageinfo`
--
ALTER TABLE `sendmessageinfo`
ADD PRIMARY KEY (`SendTime`,`SenderID`,`PostsID`);
--
-- 表的索引 `signed`
--
ALTER TABLE `signed`
ADD PRIMARY KEY (`SID`,`recordID`),
ADD KEY `recordID` (`recordID`);
--
-- 表的索引 `signrecord`
--
ALTER TABLE `signrecord`
ADD PRIMARY KEY (`ID`),
ADD KEY `houseparentID` (`houseparentID`);
--
-- 表的索引 `stayinfo`
--
ALTER TABLE `stayinfo`
ADD PRIMARY KEY (`stayID`);
--
-- 表的索引 `userinfo`
--
ALTER TABLE `userinfo`
ADD PRIMARY KEY (`ID`);
--
-- 表的索引 `userinfoh`
--
ALTER TABLE `userinfoh`
ADD PRIMARY KEY (`ID`);
--
-- 表的索引 `waterandelectricity`
--
ALTER TABLE `waterandelectricity`
ADD PRIMARY KEY (`dorm`);
--
-- 在导出的表使用AUTO_INCREMENT
--
--
-- 使用表AUTO_INCREMENT `announcement`
--
ALTER TABLE `announcement`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=26;
--
-- 使用表AUTO_INCREMENT `departinfo`
--
ALTER TABLE `departinfo`
MODIFY `departID` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- 使用表AUTO_INCREMENT `postsinfo`
--
ALTER TABLE `postsinfo`
MODIFY `PostsID` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=47;
--
-- 使用表AUTO_INCREMENT `repairinfo`
--
ALTER TABLE `repairinfo`
MODIFY `ApplyID` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=32;
--
-- 使用表AUTO_INCREMENT `signrecord`
--
ALTER TABLE `signrecord`
MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=34;
--
-- 使用表AUTO_INCREMENT `stayinfo`
--
ALTER TABLE `stayinfo`
MODIFY `stayID` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- 限制导出的表
--
--
-- 限制表 `announcement`
--
ALTER TABLE `announcement`
ADD CONSTRAINT `announcement_ibfk_1` FOREIGN KEY (`houseparentID`) REFERENCES `userinfoh` (`ID`);
--
-- 限制表 `signrecord`
--
ALTER TABLE `signrecord`
ADD CONSTRAINT `signrecord_ibfk_1` FOREIGN KEY (`houseparentID`) REFERENCES `userinfoh` (`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 */;
|
INSERT into account values (1, 'testing', 'this is a test decription');
INSERT into day values (1, 'Su', 'Sunday');
INSERT into day values (2, 'M', 'Monday');
INSERT into day values (3, 'Tu', 'Tuesday');
INSERT into day values (4, 'W', 'Wednesday');
INSERT into day values (5, 'Th', 'Thursday');
INSERT into day values (6, 'F', 'Friday');
INSERT into day values (7, 'Sa', 'Saturday');
INSERT into food_group values ('Fruit');
INSERT into food_group values ('Vegetable');
INSERT into food_group values ('Grain');
INSERT into food_group values ('Protein');
INSERT into food_group values ('Other');
INSERT into food_item values (1, 'Carrots', 'Vegetable');
INSERT into food_item values (2, 'Broccoli', 'Vegetable');
INSERT into food_item values (3, 'Tomatoes', 'Fruit');
INSERT into food_item values (4, 'Apples', 'Fruit');
INSERT into food_item values (5, 'Bananas', 'Fruit');
INSERT into food_item values (6, 'Spinach', 'Vegetable');
INSERT into food_item values (7, 'Rice', 'Grain');
INSERT into food_item values (8, 'Bread', 'Grain');
INSERT into food_item values (9, 'Quinoa', 'Grain');
INSERT into food_item values (10, 'Chicken', 'Protein');
INSERT into food_item values (11, 'Beef', 'Protein');
INSERT into food_item values (12, 'Salmon', 'Protein');
INSERT into food_item values (13, 'Tofu', 'Protein');
INSERT into food_item values (14, 'Soda', 'Other');
INSERT into food_item values (15, 'Candy', 'Other');
INSERT into food_portion values (1, 1, 1);
INSERT into food_portion values (2, 1, 1);
INSERT into food_portion values (3, 2, 1);
INSERT into food_portion values (4, 2, 1);
INSERT into food_portion values (5, 4, 1);
INSERT into food_portion values (6, 8, 1);
INSERT into food_portion values (7, 8, 1);
INSERT into food_portion values (8, 8, 1);
INSERT into food_portion values (9, 10, 1);
INSERT into food_portion values (10, 10, 1);
INSERT into food_portion values (11, 14, 1);
INSERT into food_portion values (12, 15, 1);
INSERT into food_portion values (21, 5, 2);
INSERT into food_portion values (22, 3, 2);
INSERT into food_portion values (23, 1, 2);
INSERT into food_portion values (24, 9, 2);
INSERT into food_portion values (25, 12, 2);
INSERT into food_portion values (26, 13, 2);
INSERT into food_portion values (27, 3, 2);
INSERT into food_portion values (28, 3, 2);
INSERT into food_portion values (29, 8, 2);
INSERT into food_portion values (30, 10, 2);
INSERT into food_portion values (31, 12, 2);
INSERT into food_portion values (32, 13, 2);
INSERT into food_portion values (33, 2, 2);
INSERT into food_portion values (34, 4, 2);
INSERT into food_portion values (35, 14, 2);
INSERT into food_portion values (36, 14, 2);
INSERT into food_portion values (41, 1, 3);
INSERT into food_portion values (42, 5, 3);
INSERT into food_portion values (43, 8, 3);
INSERT into food_portion values (44, 8, 3);
INSERT into food_portion values (45, 8, 3);
INSERT into food_portion values (46, 8, 3);
INSERT into food_portion values (47, 11, 3);
INSERT into food_portion values (48, 12, 3);
INSERT into food_portion values (49, 13, 3);
INSERT into food_portion values (50, 3, 3);
INSERT into food_portion values (51, 4, 4);
INSERT into food_portion values (52, 4, 4);
INSERT into food_portion values (53, 15, 4);
INSERT into food_portion values (54, 3, 4);
INSERT into food_portion values (55, 3, 4);
INSERT into food_portion values (56, 3, 4);
INSERT into food_portion values (57, 11, 4);
INSERT into food_portion values (58, 11, 4);
INSERT into food_portion values (59, 15, 4);
INSERT into food_portion values (60, 14, 4);
INSERT into food_portion values (61, 15, 4);
INSERT into food_portion values (62, 14, 4);
INSERT into food_portion values (71, 11, 7);
INSERT into food_portion values (72, 11, 7);
INSERT into food_portion values (73, 11, 7);
INSERT into food_portion values (74, 1, 7);
INSERT into food_portion values (75, 1, 7);
INSERT into food_portion values (76, 1, 7);
INSERT into food_portion values (77, 1, 7);
INSERT into food_portion values (78, 5, 7);
INSERT into food_portion values (79, 6, 7);
INSERT into food_portion values (80, 5, 7);
INSERT into food_portion values (81, 6, 7);
INSERT into food_portion values (82, 8, 7);
INSERT into food_portion values (83, 8, 7);
INSERT into food_portion values (84, 8, 7);
INSERT into food_portion values (85, 9, 7);
INSERT into food_portion values (86, 7, 7);
INSERT into food_portion values (91, 2, 5);
INSERT into food_portion values (92, 2, 5);
INSERT into food_portion values (93, 2, 5);
INSERT into food_portion values (94, 5, 5);
INSERT into food_portion values (95, 5, 5);
INSERT into food_portion values (96, 5, 5);
INSERT into food_portion values (97, 8, 5);
INSERT into food_portion values (98, 8, 5);
INSERT into food_portion values (99, 9, 5);
INSERT into food_portion values (100, 14, 5);
INSERT into food_portion values (101, 15, 5);
INSERT into food_portion values (102, 13, 5);
INSERT into food_portion values (111, 6, 6);
INSERT into food_portion values (112, 3, 6);
INSERT into food_portion values (113, 3, 6);
INSERT into food_portion values (114, 2, 6);
INSERT into food_portion values (115, 5, 6);
INSERT into food_portion values (116, 5, 6);
INSERT into food_portion values (117, 11, 6);
INSERT into food_portion values (118, 11, 6);
INSERT into food_portion values (119, 10, 6);
INSERT into food_portion values (120, 15, 6);
INSERT into food_portion values (121, 15, 6);
INSERT into exercise_type values ('E', 'Endurance');
INSERT into exercise_type values ('S', 'Strength');
INSERT into exercise_type values ('B', 'Balance');
INSERT into exercise_type values ('F', 'Flexibility');
INSERT into exercise values (1, 'Walking', 'E');
INSERT into exercise values (2, 'Running', 'E');
INSERT into exercise values (3, 'Cycling', 'E');
INSERT into exercise values (4, 'Swimming', 'E');
INSERT into exercise values (5, 'Bench Press', 'S');
INSERT into exercise values (6, 'Push Ups', 'S');
INSERT into exercise values (7, 'Dead Lift', 'S');
INSERT into exercise values (8, 'Squats', 'S');
INSERT into exercise values (9, 'Tai Chi', 'B');
INSERT into exercise values (10, 'Heel to toe walk', 'B');
INSERT into exercise values (11, 'Standing on one foot', 'B');
INSERT into exercise values (13, 'Yoga', 'F');
INSERT into exercise values (14, 'Leg Stretch', 'F');
INSERT into exercise values (15, 'Back Stretch', 'F');
INSERT into exercise_session values (1, 1, 1);
INSERT into exercise_session values (2, 10, 1);
INSERT into exercise_session values (3, 2, 1);
INSERT into exercise_session values (4, 14, 1);
INSERT into exercise_session values (5, 3, 2);
INSERT into exercise_session values (6, 15, 2);
INSERT into exercise_session values (7, 14, 2);
INSERT into exercise_session values (9, 13, 3);
INSERT into exercise_session values (10, 13, 3);
INSERT into exercise_session values (11, 5, 4);
INSERT into exercise_session values (12, 8, 4);
INSERT into exercise_session values (21, 10, 5);
INSERT into exercise_session values (22, 11, 5);
INSERT into exercise_session values (23, 2, 5);
INSERT into exercise_session values (24, 2, 5);
INSERT into exercise_session values (25, 13, 6);
INSERT into exercise_session values (26, 13, 6);
INSERT into exercise_session values (27, 4, 7);
|
DELIMITER $$
USE `cci_gh_go_qa`$$
DROP PROCEDURE IF EXISTS `SPHostFamilyApplicationHosting`$$
CREATE DEFINER=`madhavi`@`%` PROCEDURE `SPHostFamilyApplicationHosting`(IN hostfamilyId INT,IN ssId INT,IN deptprgmId INT)
BEGIN
DECLARE hfId,sId,dpId INT;
SET @hfId = hostfamilyId;
SET @sId = ssId;
SET @dpId = deptprgmId;
IF (@sId IS NULL AND @dpId IS NULL) THEN
SELECT MAX(hfs.seasonId) INTO @sId FROM HostFamilySeason hfs WHERE hfs.hostFamilyGoId = @hfId;
SELECT MAX(hfs.departmentProgramId) INTO @dpId FROM HostFamilySeason hfs WHERE hfs.seasonId = @sId AND hfs.hostFamilyGoId = @hfId;
END IF;
SELECT hfh.`hostingReason`,
hfh.`hopeToLearn`,
hfh.`extraActivities`,
hfh.`localCoordinatorOther`,
hfh.`localCoordinatorDetails`,
hfh.`hostedOther`,
hfh.`hostedOtherDetails`,
hfh.`studentsResponsibilities`,
hfs.seasonId,
hfs.departmentProgramId,
hfs.hostFamilySeasonId
FROM `HostFamilyHome` hfh
INNER JOIN `HostFamilySeason` hfs ON hfs.`hostFamilySeasonId` = hfh.`hostFamilySeasonId`
WHERE hfs.`hostFamilyGoId` = @hfId AND hfs.`seasonId` = @sId AND hfs.`departmentProgramId` = @dpId;
END$$
DELIMITER ; |
CREATE INDEX IDX_CLIENTES ON curso.clientes (peso);
ALTER TABLE curso.fornecedores RENAME TO fornec;
select * from curso.fornec
ALTER TABLE curso.fornec ADD COLUMN ativo BOOLEAN;
ALTER TABLE curso.fornec MODIFY ativo SMALLINT; --nao funfou
TRUNCATE TABLE curso.fornec;
DROP TABLE curso.fornec;
CREATE SEQUENCE SEQ_CLIENTES MAXVALUE 9999999999 CACHE 1;
select nextval('SEQ_CLIENTES'); |
-- --------------------------------------------------------------------------------
-- Routine DDL
-- Note: comments before and after the routine body will not be stored by the server
-- --------------------------------------------------------------------------------
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `add_service_user`(IN serviceUserXml varchar(1000) ,OUT okayReturn VARCHAR(2), OUT serviceuserID INT)
BEGIN
Declare _fname varchar(20);
Declare _sname varchar(30);
Declare _gender char(1);
Declare _dob varchar(10);
Declare _address varchar(100);
Declare _contactnumber varchar(15);
Declare _ethnicity varchar(30);
Declare _nationality varchar(30);
Declare _familyinfo varchar(30);
Declare _occupation varchar(30);
Declare _username varchar(30);
Declare _pps varchar(10);
DECLARE cursor_sub VARCHAR(30);
DECLARE cursor_val VARCHAR(30);
DECLARE cursor_id VARCHAR(2);
DECLARE done INT DEFAULT 0;
DECLARE cursor_i CURSOR FOR SELECT substance, Reset_value FROM cm_substances;
DECLARE cursor_j CURSOR FOR SELECT eligibility_id FROM cm_eligibility;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;
select EXTRACTVALUE (serviceUserXml, '*/fname') into _fname ;
select EXTRACTVALUE (serviceUserXml, '*/sname') into _sname ;
select EXTRACTVALUE (serviceUserXml, '*/gender') into _gender ;
select EXTRACTVALUE (serviceUserXml, '*/dob') into _dob ;
select EXTRACTVALUE (serviceUserXml, '*/address') into _address ;
select EXTRACTVALUE (serviceUserXml, '*/contactnumber') into _contactnumber ;
select EXTRACTVALUE (serviceUserXml, '*/ethnicity') into _ethnicity ;
select EXTRACTVALUE (serviceUserXml, '*/nationality') into _nationality ;
select EXTRACTVALUE (serviceUserXml, '*/familyinfo') into _familyinfo ;
select EXTRACTVALUE (serviceUserXml, '*/occupation') into _occupation ;
select EXTRACTVALUE (serviceUserXml, '*/username') into _username ;
select EXTRACTVALUE (serviceUserXml, '*/pps') into _pps ;
SET sql_safe_updates=0;
insert into cm_clients (client_fname,
client_sname,
client_DOB ,
client_gender ,
client_contact_no ,
client_address ,
client_ethnicity ,
client_nationality ,
client_occupation ,
client_family_info ,
created_by,
created_on,
updated_by,
updated_on,
Client_PPSNo)
values( CONCAT(UCASE(LEFT(_fname, 1)), SUBSTRING(_fname, 2)), CONCAT(UCASE(LEFT(_sname, 1)), SUBSTRING(_sname, 2)),
_dob,
_gender,
_contactnumber,
_address,
_ethnicity,
_nationality,
_occupation,
_familyinfo,
_username,
curdate(),
_username,
curdate(), _pps);
OPEN cursor_i;
read_sub: LOOP
FETCH cursor_i INTO cursor_sub,cursor_val;
IF done THEN
LEAVE read_sub;
END IF;
INSERT INTO cm_client_substance_accum VALUES(LAST_INSERT_ID(),cursor_sub,cursor_val,_username, curdate());
END LOOP;
CLOSE cursor_i;
SET done = 0;
OPEN cursor_j;
read_elig: LOOP
FETCH cursor_j INTO cursor_id;
IF done THEN
LEAVE read_elig;
END IF;
INSERT INTO CM_Client_eligibilities VALUES(cursor_id,LAST_INSERT_ID(),'N',0,_username, curdate());
END LOOP;
CLOSE cursor_j;
insert into cm_client_stream values (LAST_INSERT_ID(),1, _username, curdate(),_username, curdate());
INSERT INTO `cm_system`.`cm_accounts`
(`Account_Id`,
`Account_Balance`,
`Active`,
`Updated_By`,
`Updated_On`,
`Created_By`,
`Created_On`)
VALUES
(LAST_INSERT_ID(),
0,
'Y',
_username, curdate(),_username, curdate());
INSERT INTO `cm_system`.`cm_client_date_to_clean`
(`Client_Id`,`Card`,`Extension_applied`,`Date_to_Clean`,`Set_By`,`Set_On`)
VALUES
(LAST_INSERT_ID(),1,'N',DATE_ADD(curdate(),INTERVAL 10 DAY),_username, curdate());
set okayReturn := 'OK';
SELECT LAST_INSERT_ID() into serviceuserID;
END |
CREATE TABLE `assignment` (
`StopNumber` int(6) NOT NULL,
`NamewithoutLocality` varchar(100) NOT NULL,
`Locality` varchar(100) NOT NULL,
`Name` varchar(100) NOT NULL,
`Easting` int(7) NOT NULL,
`Northing` int(7) NOT NULL
);
|
/*
SQL practice in Udacity's 'Programming for Data Science' Nanodegree Program
SQL > Lesson 8 > Project: Investigate the 'Sakila DVD rental database'
Project Queries
Question:
rental counts based on film ratings
*/
WITH categories AS (
SELECT r.rental_id,
f.title,
f.rating,
p.amount
FROM film f
JOIN inventory i
ON f.film_id = i.film_id
JOIN rental r
ON i.inventory_id = r.inventory_id
JOIN payment p
ON r.rental_id = p.rental_id
ORDER BY 3, 2, 1)
SELECT DISTINCT rating,
COUNT(rating) OVER ( PARTITION BY rating ) AS rentals,
SUM(amount) OVER ( PARTITION BY rating ) AS gross_amount
FROM categories
ORDER BY 3 DESC;
|
//http://sqlzoo.net/wiki/The_JOIN_operation
//Table game: id, madate, stadium, team1, team2
//Table goal: matchid, teamid, player, gtime
//Table eteam: id, teamname, coach
//1.
//The first example shows the goal scored by 'Bender'.
//Show matchid and player name for all goals scored by Germany. teamid = 'GER'
SELECT matchid, player FROM goal
WHERE teamid = 'GER'
//2.
//From the previous query you can see that Lars Benders goal was scored in game 1012. Notice that the column matchid in the goal table corresponds to the id column in the game table.
//Show id, stadium, team1, team2 for game 1012
SELECT id, stadium, team1, team2 FROM game
WHERE id = 1012
//3.
//You can combine the two steps into a single query with a JOIN. You will get all the game details and all the goal details if you use
SELECT *
FROM game JOIN goal ON (id=matchid)
//Show the player, teamid and mdate for every German goal. teamid='GER'
SELECT player, teamid, mdate FROM
goal JOIN game ON (id = matchid)
WHERE teamid = 'GER'
//4. Use the same JOIN as in the previous question.
//Show the team1, team2 and player for every goal scored by a player called Mario player LIKE 'Mario%'
SELECT team1, team2, player FROM
game JOIN goal ON (id = matchid)
WHERE player LIKE 'Mario%'
//5. The table eteam gives details of every national team including the coach. You can JOIN goal to eteam using the phrase goal JOIN eteam on teamid=id
//Show player, teamid, coach, gtime for all goals scored in the first 10 minutes gtime<=10
SELECT player, teamid, coach, gtime FROM
goal JOIN eteam ON (teamid = id)
WHERE gtime <= 10
//6. To JOIN game with eteam you could use either game JOIN eteam ON (team1=eteam.id) or game JOIN eteam ON (team2=eteam.id)
//Notice that because id is a column name in both game and eteam you must specify eteam.id instead of just id
//List the the dates of the matches and the name of the team in which 'Fernando Santos' was the team1 coach.
SELECT mdate, teamname FROM
game JOIN eteam ON (team1 = eteam.id)
WHERE coach = 'Fernando Santos'
//7. List the player for every goal scored in a game where the stadium was 'National Stadium, Warsaw'
SELECT player FROM
game JOIN goal ON (matchid = id)
WHERE stadium = 'National Stadium, Warsaw'
//8. This query shows all goals scored in Germany-Greece quarterfinal.
//Show names of all players who scored a goal against Germany.
SELECT DISTINCT player FROM
game JOIN goal ON (id = matchid)
WHERE (team1 = 'GER' OR team2 = 'GER')
AND teamid <> 'GER'
//9. Show teamname and the total number of goals scored.
SELECT teamname, COUNT(teamid) FROM
goal JOIN eteam ON (teamid = id)
GROUP BY teamname
//10. Show the stadium and the number of goals scored in each stadium.
SELECT stadium, COUNT(*) FROM
game JOIN goal ON (id = matchid)
GROUP BY stadium
//11. For every match involving 'POL', show the matchid, date and the number of goals scored.
SELECT matchid, mdate, COUNT(*) FROM
game JOIN goal ON (id = matchid)
WHERE team1 = 'POL' OR team2 = 'POL'
GROUP BY matchid, mdate
//12. For every match where 'GER' scored, show matchid, match date and the number of goals scored by 'GER'
SELECT matchid, mdate, COUNT(*) FROM
game JOIN goal ON (id = matchid)
WHERE teamid = 'GER'
GROUP BY matchid
//13.
//List every match with the goals scored by each team as shown. This will use "CASE WHEN" which has not been explained in any previous exercises.
//mdate team1 score1 team2 score2
//1 July 2012 ESP 4 ITA 0
//10 June 2012 ESP 1 ITA 1
//10 June 2012 IRL 1 CRO 3
//...
//Notice in the query given every goal is listed. If it was a team1 goal then a 1 appears in score1, otherwise there is a 0. You could SUM this column to get a count of the goals scored by team1. Sort your result by mdate, matchid, team1 and team2.
SELECT mdate,
team1,
SUM(CASE WHEN teamid = team1 THEN 1 ELSE 0 END) AS score1,
team2,
SUM(CASE WHEN teamid = team2 THEN 1 ELSE 0 END) AS score2 FROM
game LEFT JOIN goal ON (id = matchid)
GROUP BY id
ORDER BY mdate, matchid, team1, team2
|
select sap.NU_CARTEIRA_VERSION ,
CASE WHEN (SELECT COUNT(1)
FROM VND.ELO_CARTEIRA_SAP_IMPORT TEMPARCIAL
WHERE TEMPARCIAL.NU_CARTEIRA_VERSION = sap.NU_CARTEIRA_VERSION) >= 1 THEN 1
ELSE 0 END TEMPARCIAL ,
count(1), min(sap.dh_carteira)
from vnd.elo_carteira_sap sap
left join vnd.elo_carteira_sap_import impor
on sap.nu_carteira_version = impor.nu_carteira_version
and sap.nu_contrato_sap = impor.nu_contrato_sap
and sap.cd_item_contrato = impor.cd_item_contrato
and sap.cd_produto_sap = impor.cd_produto_sap
and NVL(sap.NU_ORDEM_VENDA, '0') = NVL(impor.NU_ORDEM_VENDA,'0')
WHERE 1=1
--AND NU_CARTEIRA_VERSION = '20180405060009'
and sap.dh_carteira > current_date - 300
and impor.nu_carteira_version is null
GROUP BY sap.nu_carteira_version |
SELECT *
FROM products
WHERE quantity = 0; |
/* Formatted on 21/07/2014 18:31:28 (QP5 v5.227.12220.39754) */
CREATE OR REPLACE FORCE VIEW MCRE_OWN.V_GAL_FEN_PERFORMANCE
(
ID_DPER,
COD_ABI,
COD_UO_PRATICA,
COD_MATR_PRATICA,
VAL_VANTATO,
VAL_GBV,
VAL_NBV,
VAL_SOPRAVVENIENZE,
VAL_INCASSI,
VAL_SOPRAVVENIENZE_ATTIVE,
VAL_SPESE
)
AS
SELECT cp.id_dper,
cp.cod_abi,
--cp.cod_ndg,
p.cod_uo_pratica,
NVL (p.cod_matr_pratica, -1) cod_matr_pratica,
SUM (cp.val_vantato) val_vantato,
SUM (cp.val_gbv) val_gbv,
SUM (cp.val_nbv) val_nbv,
SUM (cp.val_sopravvenienze) val_sopravvenienze,
SUM (NVL (m.val_incassi, 0)) val_incassi,
SUM (0) val_sopravvenienze_attive,
SUM (0) val_spese
FROM ( SELECT id_dper,
cod_abi,
cod_ndg,
SUM (val_vant) val_vantato,
SUM (val_uti_ret) val_gbv,
SUM (val_att) val_nbv,
SUM (val_sopravvenienze) val_sopravvenienze
FROM t_mcres_app_sisba_cp
WHERE cod_stato_rischio = 'S'
GROUP BY id_dper, cod_abi, cod_ndg) cp,
( SELECT id_dper,
cod_abi,
cod_ndg,
SUM (val_cr_tot) val_incassi
FROM t_mcres_app_movimenti_mod_mov
WHERE 0 = 0
AND UPPER (desc_modulo) IN
('ALL.6 - SOFFERENZE ESTINTE',
'ALL.7 - SOFFERENZE RIDOTTE')
GROUP BY id_dper, cod_abi, cod_ndg) m,
t_mcres_app_pratiche p
WHERE 0 = 0
AND cp.cod_abi = p.cod_abi
AND cp.cod_ndg = p.cod_ndg
AND cp.cod_abi = m.cod_abi
AND cp.cod_ndg = m.cod_ndg
AND p.flg_attiva = 1
GROUP BY cp.id_dper,
cp.cod_abi,
p.cod_uo_pratica,
p.cod_matr_pratica;
|
mysqladmin reload, mysqladmin refresh |
/**
PASS-DB Normalization Script v4
- Denormalized languages
- Removed most tables
- Data and text are now together
- Switched to ANSI joins
PASS-DB Normalization Script v3
- First-class PostgreSQL support
- Added safe-guards against fake nulls (Nulls wrongly imported as empty strings) using coalesce and case
PASS-DB Normalization Script v2
- Improved to allow after-the-fact-insertions (still need some adjustments)
- No longer expanding schema for joins
- No longer using temporary tables
- Always defaults to the correct option
**/
/**
Notes:
The script is not 100% safe-guarded against malformatted input and ought to be added as needed.
The common pitfalls include:
- Trailing whitespace
- Typos
- Similar looking characters (especially whitespace)
- Casing
- Bad type-casting on import
Most of these have already been safe-guarded against at least once in the script below.
It is important to note however, that the precautions taken cover the vast majority of potential problems.
An issue with importing is more likely to be a problem with the data than a with the script.
**/
INSERT INTO "Activity" ("Index", "ActivityNameEn")
SELECT
min(id::Integer),
Activity
FROM
master
GROUP BY
Activity;
INSERT INTO "IndicatorGroup" ("ActivityId", "Index", "IndicatorGroupNameEn")
SELECT
"ActivityId",
min(masterA.id::Integer),
MasterA. "indicator_group"
FROM
"Activity"
INNER JOIN master masterB ON masterB.id::Integer = "Activity"."Index"
INNER JOIN master masterA ON masterB.Activity = mastera.Activity
GROUP BY
"ActivityId",
MasterA. "indicator_group";
INSERT INTO "LifeCourse" ("IndicatorGroupId", "Index", "LifeCourseNameEn")
SELECT
"IndicatorGroupId",
min(masterA.id::Integer),
masterA. "life_course"
FROM
"IndicatorGroup"
INNER JOIN master masterB ON masterB.id::Integer = "IndicatorGroup"."Index"
INNER JOIN master masterA ON masterB.Activity = mastera.Activity
AND masterB. "indicator_group" = mastera. "indicator_group"
GROUP BY
"IndicatorGroupId",
masterA. "life_course";
INSERT INTO "Indicator" ("LifeCourseId", "Index", "IndicatorNameEn")
SELECT
"LifeCourseId",
min(masterA.id::Integer),
masterA. "indicator"
FROM
"LifeCourse"
INNER JOIN master masterB ON masterB.id::Integer = "LifeCourse"."Index"
INNER JOIN master masterA ON masterB.Activity = mastera.Activity
AND masterB. "indicator_group" = mastera. "indicator_group"
AND masterB. "life_course" = mastera. "life_course"
GROUP BY
"LifeCourseId",
masterA. "indicator";
INSERT INTO "Measure" ("IndicatorId", "Index", "CVWarnAt", "CVSuppressAt", "Included", "Aggregator", "MeasureNameIndexEn", "MeasureNameDataToolEn", "MeasureAdditionalRemarksEn", "MeasureDataAvailableEn", "MeasureDefinitionEn", "MeasureMethodEn", "MeasurePopulationGroupEn", "MeasureSourceShortEn", "MeasureSourceLongEn", "MeasureUnitLongEn", "MeasureUnitShortEn")
SELECT
"IndicatorId",
min(masterA.id::Integer),
CASE coalesce(mastera. "cv_range_1", '')
WHEN '' THEN
NULL
ELSE
mastera. "cv_range_1"::double precision
END,
CASE coalesce(masterA. "cv_range_2", '')
WHEN '' THEN
NULL
ELSE
mastera. "cv_range_2"::double precision
END,
CASE mastera.include_dt
WHEN 'Y' THEN
TRUE
ELSE
FALSE
END,
masterA. "other_dt_display" IS NOT NULL,
trim(masterA. "specific_measure_1"),
trim(masterA. "specific_measure_2"),
trim(masterA. "additional_remarks"),
trim(masterA. "data_available"),
trim(masterA. "defintion"),
trim(masterA. "estimate_calculation"),
trim(masterA. "population_2"),
trim(masterA. "data_source_2"),
trim(masterA. "data_source_3"),
trim(masterA. "unit_label_1"),
trim(masterA. "unit_label_2")
FROM
"Indicator"
INNER JOIN master masterB ON masterB.id::Integer = "Indicator"."Index"
INNER JOIN master masterA ON masterB.Indicator = mastera.Indicator
AND masterB. "life_course" = mastera. "life_course"
AND masterB. "indicator_group" = mastera. "indicator_group"
AND masterb.Activity = mastera.Activity
GROUP BY
"IndicatorId",
mastera. "cv_range_1",
mastera. "cv_range_2",
mastera.include_dt,
masterA. "other_dt_display",
trim(masterA. "specific_measure_1"),
trim(masterA. "specific_measure_2"),
trim(masterA. "additional_remarks"),
trim(masterA. "data_available"),
trim(masterA. "defintion"),
trim(masterA. "estimate_calculation"),
trim(masterA. "population_2"),
trim(masterA. "data_source_2"),
trim(masterA. "data_source_3"),
trim(masterA. "unit_label_1"),
trim(masterA. "unit_label_2");
INSERT INTO "Strata" ("MeasureId", "Index", "StrataNameEn", "StrataSourceEn", "StrataPopulationTitleFragmentEn", "StrataNotesEn")
SELECT
"MeasureId",
min(masterA.id::Integer),
masterA.data_breakdowns,
masterA.data_source_1,
masterA.population_1,
masterA.notes
FROM
"Measure"
INNER JOIN master masterB ON masterB.id::Integer = "Measure"."Index"
INNER JOIN master masterA ON masterB. "specific_measure_1" = mastera. "specific_measure_1"
AND masterB.Indicator = mastera.Indicator
AND masterB. "life_course" = mastera. "life_course"
AND masterB. "indicator_group" = mastera. "indicator_group"
AND masterb.Activity = mastera.Activity
GROUP BY
"MeasureId",
masterA.data_breakdowns,
masterA.data_source_1,
masterA.population_1,
masterA.notes;
INSERT INTO "Point" ("StrataId", "CVInterpretation", "CVValue", "ValueAverage", "ValueUpper", "ValueLower", "Type", "Index", "PointLabelEn", "PointTextEn")
SELECT
"StrataId",
CASE coalesce(masterA.CV_Interpretation, '')
WHEN '' THEN
NULL
ELSE
masterA.CV_Interpretation::Integer
END,
CASE coalesce(masterA.CV_1, '')
WHEN '' THEN
NULL
ELSE
masterA.CV_1::float8
END,
CASE coalesce(masterA.data, '')
WHEN '' THEN
NULL
ELSE
round(masterA.data::numeric, 1)
END,
CASE coalesce(masterA.CI_Upper_95, '')
WHEN '' THEN
NULL
ELSE
round(masterA.CI_Upper_95::numeric, 1)
END,
CASE coalesce(masterA.CI_low_95, '')
WHEN '' THEN
NULL
ELSE
round(masterA.CI_low_95::numeric, 1)
END,
CASE coalesce(masterA. "display_data", '')
WHEN '' THEN
0
ELSE
masterA. "display_data"::Integer
END,
masterA.id::Integer,
masterA.disaggregation,
CASE coalesce(masterA.pt_table_label, '')
WHEN '' THEN
masterA.disaggregation
ELSE
masterA.pt_table_label
END
FROM
"Strata"
INNER JOIN master masterB ON CAST(masterB.id AS Integer) = "Strata"."Index"
INNER JOIN master masterA ON masterB. "data_breakdowns" = mastera. "data_breakdowns"
AND masterB. "specific_measure_1" = mastera. "specific_measure_1"
AND masterB.Indicator = mastera.Indicator
AND masterB. "life_course" = mastera. "life_course"
AND masterB. "indicator_group" = mastera. "indicator_group"
AND masterb.Activity = mastera.Activity
WHERE
masterB.Include_DT = 'Y';
UPDATE
"Measure" m
SET
"DefaultStrataId" = "StrataId"
FROM (
SELECT
s. "MeasureId",
min(s. "Index") AS "Index"
FROM
"Measure" m
INNER JOIN "Strata" s ON s. "MeasureId" = m. "MeasureId"
WHERE
s. "StrataId" IN (
SELECT
s. "StrataId"
FROM
"Point")
GROUP BY
s. "MeasureId") a
INNER JOIN "Strata" s ON s. "Index" = a. "Index"
WHERE
s. "MeasureId" = m. "MeasureId"
AND m. "Included";
UPDATE
"Indicator" m
SET
"DefaultMeasureId" = "MeasureId"
FROM (
SELECT
s. "IndicatorId",
min(s. "Index") AS "Index"
FROM
"Indicator" m
INNER JOIN "Measure" s ON s. "IndicatorId" = m. "IndicatorId"
WHERE
s. "DefaultStrataId" IS NOT NULL
GROUP BY
s. "IndicatorId") a
INNER JOIN "Measure" s ON s. "Index" = a. "Index"
WHERE
s. "IndicatorId" = m. "IndicatorId";
UPDATE
"LifeCourse" m
SET
"DefaultIndicatorId" = "IndicatorId"
FROM (
SELECT
s. "LifeCourseId",
min(s. "Index") AS "Index"
FROM
"LifeCourse" m
INNER JOIN "Indicator" s ON s. "LifeCourseId" = m. "LifeCourseId"
WHERE
s. "DefaultMeasureId" IS NOT NULL
GROUP BY
s. "LifeCourseId") a
INNER JOIN "Indicator" s ON s. "Index" = a. "Index"
WHERE
s. "LifeCourseId" = m. "LifeCourseId";
UPDATE
"IndicatorGroup" m
SET
"DefaultLifeCourseId" = "LifeCourseId"
FROM (
SELECT
s. "IndicatorGroupId",
min(s. "Index") AS "Index"
FROM
"IndicatorGroup" m
INNER JOIN "LifeCourse" s ON s. "IndicatorGroupId" = m. "IndicatorGroupId"
WHERE
s. "DefaultIndicatorId" IS NOT NULL
GROUP BY
s. "IndicatorGroupId") a
INNER JOIN "LifeCourse" s ON s. "Index" = a. "Index"
WHERE
s. "IndicatorGroupId" = m. "IndicatorGroupId";
UPDATE
"Activity" m
SET
"DefaultIndicatorGroupId" = "IndicatorGroupId"
FROM (
SELECT
s. "ActivityId",
min(s. "Index") AS "Index"
FROM
"Activity" m
INNER JOIN "IndicatorGroup" s ON s. "ActivityId" = m. "ActivityId"
WHERE
s. "DefaultLifeCourseId" IS NOT NULL
GROUP BY
s. "ActivityId") a
INNER JOIN "IndicatorGroup" s ON s. "Index" = a. "Index"
WHERE
s. "ActivityId" = m. "ActivityId";
|
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