blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 3 276 | src_encoding stringclasses 33
values | length_bytes int64 23 9.61M | score float64 2.52 5.28 | int_score int64 3 5 | detected_licenses listlengths 0 44 | license_type stringclasses 2
values | text stringlengths 23 9.43M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
c1d444cf8b22c0fd409d6936021a52df97934a4b | SQL | mtiradorc/DemoAccount | /Base Datos/TABLES_ACCOUNT.SQL | UTF-8 | 739 | 3.734375 | 4 | [] | no_license | CREATE TABLE OWNER (
idOwner NUMERIC AUTO_INCREMENT primary key,
owner NUMERIC (50) NOT NULL
);
CREATE TABLE ACCOUNT (
idAccount NUMERIC AUTO_INCREMENT primary key,
account NUMERIC (50) NOT NULL,
balance DOUBLE NOT NULL,
amount DOUBLE NOT NULL,
createdAt date NOT NULL,
idOwner NUMERIC NOT NULL,
FOREIGN KEY (idOwner) REFERENCES OWNER (idOwner)
);
CREATE TABLE TRANSACTION (
idTransactions NUMERIC AUTO_INCREMENT primary key,
idFromAccount NUMERIC (50) NOT NULL,
idAccount NUMERIC NOT NULL,
amount DOUBLE NOT NULL,
sentAt date NOT NULL,
FOREIGN KEY (idFromAccount) REFERENCES ACCOUNT (idAccount),
FOREIGN KEY (idAccount) REFERENCES ACCOUNT (idAccount)
);
/*DROP TABLES*/
DROP TABLE TRANSACTION;
DROP TABLE ACCOUNT;
DROP TABLE OWNER; | true |
0fff04df1178581978b14828709c6ac5707eff6b | SQL | jafidelis/go-kickstart-orm | /db/script.sql | UTF-8 | 321 | 3.03125 | 3 | [] | no_license | CREATE TABLE users (
id serial,
first_name varchar(60) NOT NULL,
last_name varchar(60) NOT NULL,
email varchar(40),
login varchar(20) NOT NULL,
password text NOT NULL,
created_at timestamp,
updated_at timestamp,
deleted_at timestamp,
CONSTRAINT users_pk PRIMARY KEY (id)
); | true |
7be097b177c132697d50359f90ac495fa55e0826 | SQL | aioksu/test_billing | /docker/initial.sql | UTF-8 | 914 | 3.703125 | 4 | [] | no_license | DROP TABLE IF EXISTS logs;
DROP TABLE IF EXISTS customer;
DROP TABLE IF EXISTS wallet;
CREATE TABLE wallet(
id BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
creation_time DATETIME NOT NULL,
balance DECIMAL(10,2)
);
CREATE TABLE customer(
id BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
creation_time DATETIME NOT NULL,
wallet_id BIGINT NOT NULL,
FOREIGN KEY (wallet_id)
REFERENCES wallet(id)
);
CREATE TABLE logs(
id BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
operation_time DATETIME NOT NULL,
session_id VARCHAR(255) NOT NULL,
wallet_id BIGINT DEFAULT NULL,
current_balance DECIMAL(10,2) DEFAULT NULL,
operation ENUM('add_money', 'transfer_to', 'transfer_from', 'create_customer') DEFAULT NULL,
add_funds DECIMAL(10,2) DEFAULT 0,
to_customer BIGINT DEFAULT NULL,
from_customer BIGINT DEFAULT NULL,
status ENUM('success', 'pending', 'failed') DEFAULT 'pending'
);
| true |
4690c1114609a790bdf7c76930e65d12ff4145c0 | SQL | khjomaa/DevOpsArchitectrureProject | /DATABASE/projects/mysql-rds/sql_scripts/create_tables.sql | UTF-8 | 472 | 3.09375 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS `lines`
(
`id` VARCHAR(40) NOT NULL,
`object_path` VARCHAR(250) NOT NULL,
`date` DATETIME(100) NOT NULL,
`amount_of_lines` INT,
PRIMARY KEY (`id`)
);
CREATE TABLE IF NOT EXISTS `words`
(
`id` INT NOT NULL AUTO_INCREMENT,
`object_path` VARCHAR(250) NOT NULL,
`date` DATETIME(100) NOT NULL,
`amount_of_words` INT,
PRIMARY KEY (`id`)
);
| true |
c53f016865beb03db5ecc5f89c8ebb132e4d5f07 | SQL | shivahaha/moclop123 | /Source/New Folder/SQLQuery.sql | UTF-8 | 2,701 | 3.734375 | 4 | [] | no_license | --Organization
Select o.OrganizationName,a.AddressLine,a.Postcode,(FirstName + SurName) AS [Full Name],o.IsActive from Organizations o inner join
Addresses a on o.AddressId = a.AddressId
inner join Contacts c on o.ContactId = c.ContactId
order by OrganizationName
------Supporting Materials
Select s.Url,Description,s.Type,u.Account As [AddBy],s.AddedDate from
SupportingMaterials s inner join Users u on s.UserId = u.UserId
order by Url
----Directorate
Select d.DiractorateName AS[BU/DiractorateName],a.AddressLine,a.Postcode,(FirstName + SurName) AS [Contact],
d.IsActive from Directorates d inner join
Addresses a on d.AddressId = a.AddressId
inner join Contacts c on d.ContactId = c.ContactId
order by DiractorateName
------Department
Select de.DepartmentName,a.AddressLine,a.Postcode,(FirstName + SurName) AS [Contact],
de.IsActive from Departments de inner join
Addresses a on de.AddressId = a.AddressId
inner join Contacts c on de.ContactId = c.ContactId
order by DepartmentName
-----Service
Select se.ServiceName,se.ShortDescription AS [Description],se.SubType As [ServiceType],
(FirstName + SurName) AS [Contact],se.IsActive from
Services se inner join Contacts c on se.ContactId = c.ContactId
order by ServiceName
-----------------TrustRegions
Select tr.TrustRegionName,tr.Description,ct.CountryName As [Nation/Country], tr.IsActive
from TrustRegions tr inner join Countries ct on tr.CountryId = ct.CountryId
order by TrustRegionName
----------------Trust Disttrict
Select td.TrustDistrictName as [DistrictName], td.Description,tr.TrustRegionName as [Region],td.IsActive
from TrustDistricts td inner join TrustRegions tr on td.TrustRegionId = tr.TrustRegionId
order By TrustDistrictName
-----------Government
Select gv.GovOfficeRegionName,gv.Description,co.CountyName As [Nation/Country], gv.IsActive
from GovOfficeRegions gv inner join Counties co on gv.GovOfficeRegionId = co.GovOfficeRegionId
order by GovOfficeRegionName
------------------Premises
Select pr.LocationName,a.AddressLine,a.Postcode,pr.IsActive
from Premises pr inner join Addresses a on pr.AddressId = a.AddressId
order by LocationName
------------Programme
Select pr.ProgramName,pr.Description,(FirstName + SurName) AS [Contact],pr.IsActive
from Programs pr inner join Contacts ct on pr.ContactId = ct.ContactId
order by ProgramName
------Team
Select t.TeamName,a.AddressLine as [Address],t.CityTown,ct.CountryName,bu.BusinessName as [Business]
from Teams t inner join Addresses a on t.AddressId = a.AddressId
inner join BusinessTypes bu on t.BusinessId = bu.BusinessId
inner join Countries ct on t.CountryId = ct.CountryId
order by TeamName | true |
c439634f9293feb73168bf100a2f23b0d750293d | SQL | cavinneoh/theSTUNNER | /dcsmy.sql | UTF-8 | 11,969 | 2.796875 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 4.5.1
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/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `dcsmy`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin_login`
--
CREATE TABLE `admin_login` (
`USERNAME` varchar(30) NOT NULL,
`PASSWORD` varchar(99) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `admin_login`
--
INSERT INTO `admin_login` (`USERNAME`, `PASSWORD`) VALUES
('admin', '$1$getREKT!$rQz1CoJsgyS9/c8MYudmY.'),
('cavin', '$1$getREKT!$dIxLR68y4V5oJpF4pSiBI.'),
('elden', '$1$getREKT!$bU9gG0vwSNBxQT1p/jpoH0');
-- --------------------------------------------------------
--
-- Table structure for table `student_info`
--
CREATE TABLE `student_info` (
`STUDENT ID` varchar(20) NOT NULL,
`STUDENT NAME` varchar(99) NOT NULL,
`PROGRAM` varchar(9) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `student_info`
--
INSERT INTO `student_info` (`STUDENT ID`, `STUDENT NAME`, `PROGRAM`) VALUES
('C1400418', 'JONATHAN GAN', 'DCSMY'),
('C1400421', 'WONG TUCK MUN', 'DCSMY'),
('C1500285', 'KONG JIN FEI', 'DCSMY'),
('C1678910', 'AUGUST INTAKE', 'DCSMY');
-- --------------------------------------------------------
--
-- Table structure for table `student_subjects`
--
CREATE TABLE `student_subjects` (
`STUDENT ID` varchar(20) NOT NULL,
`COURSE CODE` varchar(20) NOT NULL,
`COMPLETED` bit(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `student_subjects`
--
INSERT INTO `student_subjects` (`STUDENT ID`, `COURSE CODE`, `COMPLETED`) VALUES
('C1400421', 'CSC 1015', b'0'),
('C1400421', 'CSC 1016', b'0'),
('C1400421', 'CSC 1017', b'0'),
('C1400421', 'CSC 1018', b'0'),
('C1400421', 'CSC 1019', b'0'),
('C1400421', 'CSC 2015', b'0'),
('C1400421', 'CSC 2016', b'0'),
('C1400421', 'CSC 2017', b'0'),
('C1400421', 'CSC 2018', b'0'),
('C1400421', 'CSC 2019', b'0'),
('C1400421', 'CSC 2020', b'0'),
('C1400421', 'CSC 2021', b'0'),
('C1400421', 'CSC 2022', b'0'),
('C1400421', 'CSC 2023', b'0'),
('C1400421', 'CSC 2026', b'0'),
('C1400421', 'CSC 3015', b'0'),
('C1400421', 'CSC 3016', b'0'),
('C1400421', 'CSC 3017', b'0'),
('C1400421', 'ENL 1005', b'0'),
('C1400421', 'ENL 1006', b'0'),
('C1400421', 'MPU 2163', b'0'),
('C1400421', 'MPU 2382', b'0'),
('C1400421', 'MTH 1008', b'0'),
('C1400421', 'MTH 1009', b'0'),
('c1400418', 'CSC 1015', b'1'),
('c1400418', 'CSC 1016', b'1'),
('c1400418', 'CSC 1017', b'1'),
('c1400418', 'CSC 1018', b'1'),
('c1400418', 'CSC 1019', b'1'),
('c1400418', 'CSC 2015', b'0'),
('c1400418', 'CSC 2016', b'1'),
('c1400418', 'CSC 2017', b'1'),
('c1400418', 'CSC 2018', b'1'),
('c1400418', 'CSC 2019', b'0'),
('c1400418', 'CSC 2020', b'0'),
('c1400418', 'CSC 2021', b'0'),
('c1400418', 'CSC 2022', b'0'),
('c1400418', 'CSC 2023', b'0'),
('c1400418', 'CSC 2026', b'0'),
('c1400418', 'CSC 3015', b'0'),
('c1400418', 'CSC 3016', b'0'),
('c1400418', 'CSC 3017', b'0'),
('c1400418', 'ENL 1005', b'1'),
('c1400418', 'ENL 1006', b'0'),
('c1400418', 'MPU 2163', b'1'),
('c1400418', 'MPU 2283', b'1'),
('c1400418', 'MPU 2382', b'0'),
('c1400418', 'MTH 1008', b'1'),
('c1400418', 'MTH 1009', b'1'),
('c1400418', 'MPU 2383', b'0'),
('C1400421', 'MPU 2283', b'0'),
('C1400421', 'MPU 2383', b'0'),
('C1678910', 'CSC 1015', b'0'),
('C1678910', 'CSC 1016', b'0'),
('C1678910', 'CSC 1017', b'0'),
('C1678910', 'CSC 1018', b'0'),
('C1678910', 'CSC 1019', b'0'),
('C1678910', 'CSC 2015', b'0'),
('C1678910', 'CSC 2016', b'0'),
('C1678910', 'CSC 2017', b'0'),
('C1678910', 'CSC 2018', b'0'),
('C1678910', 'CSC 2019', b'0'),
('C1678910', 'CSC 2020', b'0'),
('C1678910', 'CSC 2021', b'0'),
('C1678910', 'CSC 2022', b'0'),
('C1678910', 'CSC 2023', b'0'),
('C1678910', 'CSC 2026', b'0'),
('C1678910', 'CSC 3015', b'0'),
('C1678910', 'CSC 3016', b'0'),
('C1678910', 'CSC 3017', b'0'),
('C1678910', 'ENL 1005', b'0'),
('C1678910', 'ENL 1006', b'0'),
('C1678910', 'MPU 2163', b'0'),
('C1678910', 'MPU 2283', b'0'),
('C1678910', 'MPU 2382', b'0'),
('C1678910', 'MPU 2383', b'0'),
('C1678910', 'MTH 1008', b'0'),
('C1678910', 'MTH 1009', b'0'),
('C1500285', 'CSC 1015', b'1'),
('C1500285', 'CSC 1016', b'1'),
('C1500285', 'CSC 1018', b'1'),
('C1500285', 'CSC 1019', b'1'),
('C1500285', 'CSC 2015', b'1'),
('C1500285', 'CSC 2016', b'1'),
('C1500285', 'CSC 2017', b'1'),
('C1500285', 'CSC 2020', b'1'),
('C1500285', 'CSC 2026', b'1'),
('C1500285', 'ENL 1005', b'1'),
('C1500285', 'ENL 1006', b'1'),
('C1500285', 'MPU 2283', b'1'),
('C1500285', 'MPU 2382', b'1'),
('C1500285', 'MPU 2383', b'1'),
('C1500285', 'MTH 1008', b'1'),
('C1500285', 'MTH 1009', b'1'),
('C1500285', 'CSC 1017', b'0'),
('C1500285', 'CSC 2018', b'0'),
('C1500285', 'CSC 2019', b'0'),
('C1500285', 'CSC 2021', b'0'),
('C1500285', 'CSC 2022', b'0'),
('C1500285', 'CSC 2023', b'0'),
('C1500285', 'CSC 3015', b'0'),
('C1500285', 'CSC 3016', b'0'),
('C1500285', 'CSC 3017', b'0'),
('C1500285', 'MPU 2163', b'0');
-- --------------------------------------------------------
--
-- Table structure for table `subjects_all`
--
CREATE TABLE `subjects_all` (
`COURSE CODE` varchar(15) NOT NULL,
`COURSE NAME` varchar(99) NOT NULL,
`CREDIT HOURS` int(1) NOT NULL,
`PREREQUISITE(S)` varchar(199) NOT NULL,
`PROGRAM` varchar(99) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `subjects_all`
--
INSERT INTO `subjects_all` (`COURSE CODE`, `COURSE NAME`, `CREDIT HOURS`, `PREREQUISITE(S)`, `PROGRAM`) VALUES
('CSC 1015', 'Introduction to Computer and Application', 3, 'None', 'DCSMY'),
('CSC 1016', 'Problem Solving and Programming', 4, 'None', 'DCSMY'),
('CSC 1017', 'System Analysis and Design', 3, ' \r\nCSC 1015 Introduction to Computer and Application', 'DCSMY'),
('CSC 1018', 'Programming in C++', 4, ' \r\nCSC 1016 Introduction to Problem Solving and Programming', 'DCSMY'),
('CSC 1019', 'Computer System', 3, 'CSC 1015 Introduction to Computer and Application', 'DCSMY'),
('CSC 2015', 'Introduction to Database', 3, 'MTH 1009 Discrete Mathematics', 'DCSMY'),
('CSC 2016', 'Programming with Java 1', 4, 'CSC 1016 Introduction to Problem Solving and Programming', 'DCSMY'),
('CSC 2017', 'Data Structures', 3, 'CSC 1018 Programming in C++', 'DCSMY'),
('CSC 2018', 'Operating Systems', 4, 'CSC 1019 Computer System', 'DCSMY'),
('CSC 2019', 'Multimedia Technology', 3, 'None', 'DCSMY'),
('CSC 2020', 'Internet Technology', 3, 'CSC 1015 Introduction to Computer and Application', 'DCSMY'),
('CSC 2021', 'Object-Oriented Analysis and Design', 3, 'CSC 1017 System Analysis and Design,CSC 2016 Programming with Java 1', 'DCSMY'),
('CSC 2022', 'Programming with Java 2', 4, 'CSC 2016 Programming with Java 1', 'DCSMY'),
('CSC 2023', 'Web Programming in Java', 4, 'CSC 2022 Programming with Java 2', 'DCSMY'),
('CSC 2026', 'Data Communication and Networking', 3, 'CSC 1019 Computer System', 'DCSMY'),
('CSC 3015', 'Network Programming Essentials', 4, 'CSC 1019 Computer System, CSC 2022 Programming with Java 2', 'DCSMY'),
('CSC 3016', 'Essence of Linux', 4, 'CSC 1019 Computer System', 'DCSMY'),
('CSC 3017', 'Software Project', 4, 'CSC2015 Introduction to Database, CSC2021 Object Oriented Analysis and Design, CSC2022 Programming with Java II', 'DCSMY'),
('ENL 1005', 'English', 3, 'None', 'DCSMY'),
('ENL 1006', 'Communication Skills', 3, 'None', 'DCSMY'),
('MPU 2163', 'Pengajian Malaysia', 3, 'None', 'DCSMY'),
('MPU 2283', 'Introduction to Entrepreneurial Behavior', 3, 'None', 'DCSMY'),
('MPU 2382', 'Comparative Religion', 3, 'None', 'DCSMY'),
('MPU 2383', 'Community Services', 2, 'None', 'DCSMY'),
('MTH 1008', 'Computing Mathematics', 3, 'None', 'DCSMY'),
('MTH 1009', 'Discrete Mathematics', 3, 'MTH 1008 Computing Mathematics', 'DCSMY');
-- --------------------------------------------------------
--
-- Table structure for table `subjects_name`
--
CREATE TABLE `subjects_name` (
`COURSE CODE` varchar(15) NOT NULL,
`COURSE NAME` varchar(99) NOT NULL,
`PROGRAM` varchar(99) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `subjects_name`
--
INSERT INTO `subjects_name` (`COURSE CODE`, `COURSE NAME`, `PROGRAM`) VALUES
('CSC 1015', 'Introduction to Computer and Application', 'DCSMY'),
('CSC 1016', 'Problem Solving and Programming', 'DCSMY'),
('CSC 1017', 'System Analysis and Design', 'DCSMY'),
('CSC 1018', 'Programming in C++', 'DCSMY'),
('CSC 1019', 'Computer System', 'DCSMY'),
('CSC 2015', 'Introduction to Database', 'DCSMY'),
('CSC 2016', 'Programming with Java 1', 'DCSMY'),
('CSC 2017', 'Data Structures', 'DCSMY'),
('CSC 2018', 'Operating Systems', 'DCSMY'),
('CSC 2019', 'Multimedia Technology', 'DCSMY'),
('CSC 2020', 'Internet Technology', 'DCSMY'),
('CSC 2021', 'Object-Oriented Analysis and Design', 'DCSMY'),
('CSC 2022', 'Programming with Java 2', 'DCSMY'),
('CSC 2023', 'Web Programming in Java', 'DCSMY'),
('CSC 2026', 'Data Communication and Networking', 'DCSMY'),
('CSC 3015', 'Network Programming Essentials', 'DCSMY'),
('CSC 3016', 'Essence of Linux', 'DCSMY'),
('CSC 3017', 'Software Project', 'DCSMY'),
('ENL 1005', 'English', 'DCSMY'),
('ENL 1006', 'Communication Skills', 'DCSMY'),
('MPU 2163', 'Pengajian Malaysia', 'DCSMY'),
('MPU 2283', 'Introduction to Entrepreneurial Behavior', 'DCSMY'),
('MPU 2382', 'Comparative Religion', 'DCSMY'),
('MPU 2383', 'Community Services', 'DCSMY'),
('MTH 1008', 'Computing Mathematics', 'DCSMY'),
('MTH 1009', 'Discrete Mathematics', 'DCSMY');
-- --------------------------------------------------------
--
-- Table structure for table `subjects_prereq`
--
CREATE TABLE `subjects_prereq` (
`COURSE CODE` varchar(20) NOT NULL,
`PREREQUISITE1` varchar(20) NOT NULL,
`PREREQUISITE2` varchar(20) NOT NULL,
`PREREQUISITE3` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `subjects_prereq`
--
INSERT INTO `subjects_prereq` (`COURSE CODE`, `PREREQUISITE1`, `PREREQUISITE2`, `PREREQUISITE3`) VALUES
('CSC 1015', 'None', 'None', 'None'),
('CSC 1016', 'None', 'None', 'None'),
('CSC 1017', 'CSC 1015', 'None', 'None'),
('CSC 1018', 'CSC 1016', 'None', 'None'),
('CSC 1019', 'CSC 1015', 'None', 'None'),
('CSC 2015', 'MTH 1009', 'None', 'None'),
('CSC 2016', 'CSC 1016', 'None', 'None'),
('CSC 2017', 'CSC 1018', 'None', 'None'),
('CSC 2018', 'CSC 1019', 'None', 'None'),
('CSC 2019', 'None', 'None', 'None'),
('CSC 2020', 'CSC 1015', 'None', 'None'),
('CSC 2021', 'CSC 1017', 'CSC 2016', 'None'),
('CSC 2022', 'CSC 2016', 'None', 'None'),
('CSC 2023', 'CSC 2022', 'None', 'None'),
('CSC 2026', 'CSC 1019', 'None', 'None'),
('CSC 3015', 'CSC 1019', 'CSC 2022', 'None'),
('CSC 3016', 'CSC 1019', 'None', 'None'),
('CSC 3017', 'CSC 2015', 'CSC 2021', 'CSC 2022'),
('ENL 1005', 'None', 'None', 'None'),
('ENL 1006', 'None', 'None', 'None'),
('MPU 2163', 'None', 'None', 'None'),
('MPU 2283', 'None', 'None', 'None'),
('MPU 2382', 'None', 'None', 'None'),
('MPU 2383', 'None', 'None', 'None'),
('MTH 1008', 'None', 'None', 'None'),
('MTH 1009', 'MTH 1008', 'None', 'None');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `student_info`
--
ALTER TABLE `student_info`
ADD PRIMARY KEY (`STUDENT ID`);
--
-- Indexes for table `subjects_name`
--
ALTER TABLE `subjects_name`
ADD PRIMARY KEY (`COURSE CODE`);
--
-- Indexes for table `subjects_prereq`
--
ALTER TABLE `subjects_prereq`
ADD UNIQUE KEY `COURSE CODE` (`COURSE CODE`) USING BTREE;
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/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
| true |
5120c430674f5361586a0f08e782674c4383672c | SQL | darshan-majithiya/Twitter-Clone | /twitter.sql | UTF-8 | 4,010 | 3 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
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-- Table structure for table `follow`
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`following` int(11) NOT NULL,
`follower` int(11) NOT NULL
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-- Dumping data for table `follow`
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(39, 5, 7),
(41, 7, 8),
(45, 8, 5);
-- --------------------------------------------------------
--
-- Table structure for table `tweets`
--
CREATE TABLE `tweets` (
`id` int(11) NOT NULL,
`tweets` text NOT NULL,
`userid` int(11) NOT NULL,
`dateTime` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `tweets`
--
INSERT INTO `tweets` (`id`, `tweets`, `userid`, `dateTime`) VALUES
(2, 'First tweet!', 6, '2018-03-03 15:15:33'),
(4, 'First tweet!', 6, '2018-03-03 01:15:38'),
(5, 'Hey, this is amazing!', 5, '2018-03-03 21:07:16'),
(7, 'Life\'s good!', 7, '2018-03-05 19:37:28'),
(8, 'This is working!', 7, '2018-03-05 19:41:16'),
(9, 'I hope this works!', 7, '2018-03-05 20:36:45'),
(10, 'I hope this works!', 7, '2018-03-05 20:36:53'),
(11, 'Tada!', 7, '2018-03-05 20:37:48'),
(17, 'My first tweet!', 8, '2018-03-06 02:26:17'),
(18, 'Life\'s a bit dull these days!', 5, '2018-03-09 22:09:49'),
(19, 'hii there.', 5, '2018-03-12 11:15:25');
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE `user` (
`id` int(11) NOT NULL,
`firstName` text NOT NULL,
`lastName` text NOT NULL,
`email` text NOT NULL,
`password` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`id`, `firstName`, `lastName`, `email`, `password`) VALUES
(1, 'Darshan', 'Majithiya', 'darsh@gmail.com', '1234'),
(5, 'Darshan', 'Majithiya', 'darsh26@gmail.com', '$2y$12$01wHAhSX.Mwp30M.8IejmePYXdmSa8HG9C6PWb8ixI5YIjbjJUIDK'),
(6, 'Darshan', 'Majithiya', 'darsh2115@gmail.com', '$2y$12$gNoUcZgu.pRGVqKa73fKh.z9dcG8NqsX.uYbCxzDLP4E7rRRlXgcm'),
(7, 'Aakash', 'Majithiya', 'aakash@gmail.com', '$2y$12$afjAd/uz6jzWjfcj58CFCeyHaPUGqZma2gDfJT97SjjhJG0o8Bu.G'),
(8, 'Harsh', 'Thakker', 'harsh@gmail.com', '$2y$12$M8pmZbNP98JXdOWiu4/yuOasabhRliNlDPiVH0/orA4Kci9X9N2VG'),
(9, 'Rohan', 'Maheshwari', 'rohan@gmail.com', '$2y$12$yoarpLLHijjR4ZCQKg.IruyR2DVRTC/1Mu08ero91enqzQtlK7E.6'),
(10, 'Yash', 'Rajgor', 'Yash@gmail.com', '$2y$12$LvPlEdRCF1PbTOlCc0dfp.aZiloHbHsegQA3EK8soW6Y6eVX.iBWG'),
(11, 'Vandit ', 'Mehta', 'vandit@gmail.com', '$2y$12$8DOVJZ9LKZDfqJRvQ454K.ANeZ1cCF5nuHnPINL5NHKTXF0ZEVUrW');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `follow`
--
ALTER TABLE `follow`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tweets`
--
ALTER TABLE `tweets`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `follow`
--
ALTER TABLE `follow`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=46;
--
-- AUTO_INCREMENT for table `tweets`
--
ALTER TABLE `tweets`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=20;
--
-- AUTO_INCREMENT for table `user`
--
ALTER TABLE `user`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
| true |
09c8b6e97b3220861fe44de9c611be9e3dce9920 | SQL | RAKOTONDRAMELO/reservation-web-site-api-ExpressJs | /bdxamp.sql | UTF-8 | 3,699 | 3.25 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 4.9.2
-- https://www.phpmyadmin.net/
--
-- Hôte : 127.0.0.1:3308
-- Généré le : jeu. 12 nov. 2020 à 11:50
-- Version du serveur : 8.0.18
-- Version de PHP : 7.3.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Base de données : `merise`
--
-- --------------------------------------------------------
--
-- Structure de la table `reservations`
--
DROP TABLE IF EXISTS `reservations`;
CREATE TABLE IF NOT EXISTS `reservations` (
`date` date NOT NULL,
`effectif` tinyint(3) UNSIGNED NOT NULL,
`couleur` varchar(7) NOT NULL,
`prix` int(11) NOT NULL,
`cinClient` bigint(20) UNSIGNED NOT NULL,
`cinAdmin` bigint(20) NOT NULL,
PRIMARY KEY (`date`),
KEY `cinClient` (`cinClient`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 ;
--
-- Déchargement des données de la table `reservations`
--
INSERT INTO `reservations` (`date`, `effectif`, `couleur`, `prix`, `cinClient`, `cinAdmin`) VALUES
('2020-11-30', 44, '#d20f0f', 400000, 101241455625, 0),
('2020-11-21', 10, '#d5cf10', 400000, 101241455625, 0),
('2020-11-25', 10, '#000000', 400000, 101241455626, 101241455625),
('2020-12-31', 20, '#000000', 400000, 101241455625, 0),
('2020-12-01', 5, '#000000', 400000, 101241455626, 0),
('2020-12-25', 5, '#000000', 400000, 101241455625, 0),
('2020-12-15', 5, '#000000', 400000, 101241455720, 0),
('2021-01-07', 20, '#000000', 400000, 101241455200, 0),
('2020-11-17', 52, '#d5cf10', 400000, 101241455625, 101241455625),
('2020-12-30', 10, '#000000', 400000, 101241455299, 101241455625),
('2020-11-29', 15, '#000000', 400000, 101241453000, 101241455625),
('2021-01-30', 20, '#000000', 400000, 101241455626, 101241455625);
-- --------------------------------------------------------
--
-- Structure de la table `utilisateurs`
--
DROP TABLE IF EXISTS `utilisateurs`;
CREATE TABLE IF NOT EXISTS `utilisateurs` (
`cinClient` bigint(20) UNSIGNED NOT NULL,
`nom` varchar(100) CHARACTER SET utf8mb4 NOT NULL,
`prenom` varchar(100) CHARACTER SET utf8mb4 NOT NULL,
`adresse` varchar(255) CHARACTER SET utf8mb4 NOT NULL,
`numero` int(10) UNSIGNED NOT NULL,
`password` varchar(255) CHARACTER SET utf8mb4 NOT NULL,
`user` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`cinClient`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 ;
--
-- Déchargement des données de la table `utilisateurs`
--
INSERT INTO `utilisateurs` (`cinClient`, `nom`, `prenom`, `adresse`, `numero`, `password`, `user`) VALUES
(101241455626, 'safidy', 'angelo', '0322223768', 331233873, '123456789', 0),
(101241183443, 'safidy', 'angelo', '3E111TER', 322223768, 'safidyangelo', 0),
(101241455625, 'safidy', 'angelo', 'aaaaaa', 331233873, '123456789', 1),
(101241444555, 'safidy', 'angelo', '123', 322223768, '159', 0),
(101241444250, 'RAHARISEHENO', 'Sedraniaina', 'LOT III E 111 TER', 330270396, 'samuaRsedra', 1),
(101241500200, 'RASOARIVOLOLONA', 'zah', 'LOT III E 111 TER ', 331233812, '101241', 1),
(101241455620, 'RASOARIVOLOLONA', 'Samoelinirina', 'LOT III E 111 TER', 331233812, '123', 1),
(101241455624, 'RASOARIVOLOLONA', 'Samoelinirina', '0322223768', 331233812, '123', 1),
(101241250650, 'RASOARIVOLOLONA', 'Samoelinirina', '3E111TER', 331233896, '159632', 1);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
| true |
909f3cac4d5a84f8610933dac66d10fd4ebaeff5 | SQL | fedormoore/GeekBrains | /Level9/Lesson4/CREATE BASE.sql | UTF-8 | 4,329 | 3.640625 | 4 | [] | no_license | CREATE SCHEMA `cinema` ;
CREATE TABLE `cinema`.`movies` (
`movies_id` int NOT NULL AUTO_INCREMENT,
`name` varchar(255) NOT NULL,
`duration` int NOT NULL,
PRIMARY KEY (`movies_id`),
UNIQUE KEY `movies_id_UNIQUE` (`movies_id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `cinema`.`movies` (`movies_id`,`name`,`duration`) VALUES (1,'Милен Фармер',60);
INSERT INTO `cinema`.`movies` (`movies_id`,`name`,`duration`) VALUES (2,'Любовь и голуби',90);
INSERT INTO `cinema`.`movies` (`movies_id`,`name`,`duration`) VALUES (3,'Тихое место',120);
INSERT INTO `cinema`.`movies` (`movies_id`,`name`,`duration`) VALUES (4,'Титаник',120);
CREATE TABLE `cinema`.`show_time` (
`show_time_id` int NOT NULL AUTO_INCREMENT,
`date_start` date NOT NULL,
`date_to` date NOT NULL,
`time_start` time NOT NULL,
`time_to` time NOT NULL,
`price` decimal(12,2) NOT NULL,
PRIMARY KEY (`show_time_id`),
UNIQUE KEY `show_time_id_UNIQUE` (`show_time_id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `cinema`.`show_time` (`show_time_id`,`date_start`,`date_to`,`time_start`,`time_to`,`price`) VALUES (1,'2020-07-20','2021-07-20','08:00:00','15:00:00',100.00);
INSERT INTO `cinema`.`show_time` (`show_time_id`,`date_start`,`date_to`,`time_start`,`time_to`,`price`) VALUES (2,'2020-07-20','2020-07-20','08:00:00','14:59:59',200.00);
INSERT INTO `cinema`.`show_time` (`show_time_id`,`date_start`,`date_to`,`time_start`,`time_to`,`price`) VALUES (3,'2020-07-20','2020-07-20','08:00:00','15:00:00',500.00);
INSERT INTO `cinema`.`show_time` (`show_time_id`,`date_start`,`date_to`,`time_start`,`time_to`,`price`) VALUES (4,'2020-07-15','2020-07-30','08:00:00','15:00:00',700.00);
INSERT INTO `cinema`.`show_time` (`show_time_id`,`date_start`,`date_to`,`time_start`,`time_to`,`price`) VALUES (5,'2020-07-20','2020-07-20','15:00:00','21:00:00',400.00);
CREATE TABLE `cinema`.`list` (
`list_id` int NOT NULL AUTO_INCREMENT,
`movies_id` int NOT NULL,
`show_time_id` int NOT NULL,
`show_date` date NOT NULL,
`show_time` time NOT NULL,
PRIMARY KEY (`list_id`),
UNIQUE KEY `list_id_UNIQUE` (`list_id`),
KEY `movies_id_idx` (`movies_id`),
KEY `show_time_id_idx` (`show_time_id`),
CONSTRAINT `movies_id` FOREIGN KEY (`movies_id`) REFERENCES `movies` (`movies_id`) ON DELETE RESTRICT ON UPDATE RESTRICT,
CONSTRAINT `show_time_id` FOREIGN KEY (`show_time_id`) REFERENCES `show_time` (`show_time_id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `cinema`.`list` (`list_id`,`movies_id`,`show_time_id`,`show_date`,`show_time`) VALUES (1,1,1,'2021-07-20','14:00:00');
INSERT INTO `cinema`.`list` (`list_id`,`movies_id`,`show_time_id`,`show_date`,`show_time`) VALUES (2,2,2,'2021-07-20','15:30:00');
INSERT INTO `cinema`.`list` (`list_id`,`movies_id`,`show_time_id`,`show_date`,`show_time`) VALUES (3,3,3,'2021-07-20','16:30:00');
INSERT INTO `cinema`.`list` (`list_id`,`movies_id`,`show_time_id`,`show_date`,`show_time`) VALUES (4,4,4,'2021-07-20','19:50:00');
INSERT INTO `cinema`.`list` (`list_id`,`movies_id`,`show_time_id`,`show_date`,`show_time`) VALUES (5,2,5,'2021-07-20','20:00:00');
CREATE TABLE `cinema`.`tickets` (
`tickets_id` int NOT NULL AUTO_INCREMENT,
`list_id` int NOT NULL,
PRIMARY KEY (`tickets_id`),
UNIQUE KEY `tickets_id_UNIQUE` (`tickets_id`),
KEY `list_id_idx` (`list_id`),
CONSTRAINT `list_id` FOREIGN KEY (`list_id`) REFERENCES `list` (`list_id`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (1,1);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (2,2);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (6,2);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (3,3);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (4,4);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (5,4);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (7,5);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (8,5);
INSERT INTO `cinema`.`tickets`(`tickets_id`,`list_id`) VALUES (9,5);
| true |
634bfa69b2901aabef4055312e4329931720837b | SQL | LolitaDias/SQL-Employee-Database-Analysis | /EmployeeSQL/schema.sql | UTF-8 | 1,621 | 3.9375 | 4 | [] | no_license | --Schema/Table creation scripts
-- Drop table if exists
DROP TABLE dept_emp;
DROP TABLE dept_manager;
DROP TABLE salaries;
DROP TABLE titles;
DROP TABLE departments;
DROP TABLE employees;
--Create Table departments
CREATE TABLE departments(
dept_no VARCHAR PRIMARY KEY,
dept_name VARCHAR NOT NULL);
--Create Table employees
CREATE TABLE employees (
emp_no INTEGER PRIMARY KEY,
birth_date DATE NOT NULL,
first_name VARCHAR NOT NULL,
last_name VARCHAR NOT NULL,
gender VARCHAR NOT NULL,
hire_date DATE NOT NULL);
--Create Table dept_emp
CREATE TABLE dept_emp(
emp_no INTEGER NOT NULL,
FOREIGN KEY (emp_no) REFERENCES employees(emp_no),
dept_no VARCHAR NOT NULL,
FOREIGN KEY (dept_no) REFERENCES departments(dept_no),
from_date DATE NOT NULL,
to_date DATE NOT NULL);
--Create Table dept_manager
CREATE TABLE dept_manager(
dept_no VARCHAR NOT NULL,
FOREIGN KEY (emp_no) REFERENCES employees(emp_no),
emp_no INTEGER NOT NULL,
FOREIGN KEY (dept_no) REFERENCES departments(dept_no),
from_date date NOT NULL,
to_date date NOT NULL);
--Create table salaries
CREATE TABLE salaries(
emp_no INTEGER NOT NULL,
FOREIGN KEY (emp_no) REFERENCES employees(emp_no),
salary INTEGER NOT NULL,
from_date DATE NOT NULL,
to_date DATE NOT NULL);
--Create table titles
CREATE TABLE titles(
emp_no INTEGER NOT NULL,
FOREIGN KEY (emp_no) REFERENCES employees(emp_no),
title VARCHAR NOT NULL,
from_date DATE NOT NULL,
to_date DATE NOT NULL);
--Verify if the tables have been created
select * from departments;
select * from employees;
select * from dept_emp;
select * from dept_manager;
select * from salaries;
select * from titles;
| true |
7d634daad79628b54c562c05a8e9549edd6ba72a | SQL | KStoilkov/SoftUni | /Level 3 - Databases/Exam 12.July.2015/08.Users-in-Games-with-Items.sql | UTF-8 | 418 | 4.28125 | 4 | [] | no_license | SELECT
u.Username,
g.Name AS Game,
COUNT(ugi.ItemId) AS [Items Count],
REPLACE(SUM(i.Price), ',','.') AS [Items Price]
FROM Users u
JOIN UsersGames ug
ON ug.UserId = u.Id
JOIN Games g
ON g.Id = ug.GameId
JOIN UserGameItems ugi
ON ugi.UserGameId = ug.Id
JOIN Items i
ON ugi.ItemId = i.Id
GROUP BY u.Username, g.Name
HAVING COUNT(ugi.ItemId) >= 10
ORDER BY [Items Count] DESC, [Items Price] DESC, u.Username
| true |
ce28d1b317be82622744da4f90cae065f0154e1a | SQL | khu07c8/gcit-library | /GCIT/SQL_SCRIPTS/edit_branch_address.sql | UTF-8 | 237 | 2.78125 | 3 | [] | no_license | DELIMITER $$
CREATE PROCEDURE edit_branch_address(IN branch_id int, IN new_address VARCHAR(75))
BEGIN
UPDATE tbl_library_branch
SET tbl_library_branch.branchAddress = new_address
WHERE tbl_library_branch.branchId = branch_id;
END $$ | true |
f90982b7e26bbc77d8c42fdcb0f1c5bdbba29c9a | SQL | alejotaliento/BD1 | /TP ARREGLADO/ABM CON STORED PROCEDURES.sql | UTF-8 | 9,775 | 3.796875 | 4 | [] | no_license | -- PEDIDO ALTA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `pedido_alta`(id int, concesionaria int, fecha datetime,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from pedido where idPedido=id;
IF (nCantidad > 0) then
select -1 INTO resultado;
select "Encontro" into mensaje;
ELSE
insert into pedido(idPedido,idConcesionaria,fecha,eliminado) values(id,concesionaria,fecha,0);
select 0 into resultado;
select " " into mensaje;
END IF;
END$$
DELIMITER ;
-- PEDIDO BAJA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `pedido_baja`(id int,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from pedido where idPedido=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update pedido set eliminado=1, fechaEliminado=now() where idPedido=id;
ELSE
select -1 into resultado;
select "No se encontro para eliminar" into mensaje;
END IF;
END$$
DELIMITER ;
-- PEDIDO MODIFICACION
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `pedido_modificacion`(id int, concesionaria int, fecha datetime,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from pedido where idPedido=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update pedido set idConcesionaria=concesionaria, fecha=fecha where idPedido=id;
ELSE
select -1 into resultado;
select "No se encontro para modificar" into mensaje;
END IF;
END$$
DELIMITER ;
-- CONCESIONARIA ALTA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `concesionaria_alta`(id int, nombre varchar(45), cuit int, ventas int, out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from concesionaria where idConcesionaria=id;
IF (nCantidad > 0) then
select -1 INTO resultado;
select "Encontro" into mensaje;
ELSE
insert into concesionaria(idConcesionaria, nombre, cuit, ventas, eliminado) values(id,nombre,cuit,ventas,0);
select 0 into resultado;
select " " into mensaje;
END IF;
END$$
DELIMITER ;
-- CONCESIONARIA BAJA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `concesionaria_baja`(id int, out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from concesionaria where idConcesionaria=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update concesionaria set eliminado=1, fechaEliminado=now() where idConcesionaria=id;
ELSE
select -1 into resultado;
select "No se encontro para eliminar" into mensaje;
END IF;
END$$
DELIMITER ;
-- CONCESIONARIA MODIFICACION
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `concesionaria_modificacion`(id int, nombre varchar(45), cuit int, ventas int, out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from concesionaria where idConcesionaria=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update concesionaria set nombre=nombre, cuit=cuit, ventas=ventas where idConcesionaria=id;
ELSE
select -1 into resultado;
select "No se encontro para modificar" into mensaje;
END IF;
END$$
DELIMITER ;
-- PROVEEDOR ALTA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `proveedor_alta`(id int, nombre varchar(45),cuit int,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from proveedor where idProveedor=id;
IF (nCantidad > 0) then
select -1 INTO resultado;
select "Encontro" into mensaje;
ELSE
insert into proveedor(idProveedor,nombre,cuit,eliminado) values(id,nombre,cuit,0);
select 0 into resultado;
select " " into mensaje;
END IF;
END$$
DELIMITER ;
-- PROVEEDOR BAJA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `proveedor_baja`(id int, out resultado int, out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from proveedor where idProveedor=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update proveedor set eliminado=1, fechaEliminado=now() where idProveedor=id;
ELSE
select -1 into resultado;
select "No se encontro para eliminar" into mensaje;
END IF;
END$$
DELIMITER ;
-- PROVEEDOR MODIFICACION
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `proveedor_modificacion`(id int, nombre varchar(45),cuit int,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from proveedor where idProveedor=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update proveedor set nombre=nombre, cuit=cuit where idProveedor=id;
ELSE
select -1 into resultado;
select "No se encontro para modificar" into mensaje;
END IF;
END$$
DELIMITER ;
-- INSUMO ALTA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `insumo_alta`(id int, descripcion varchar(45),out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from insumo where idInsumo=id;
IF (nCantidad > 0) then
select -1 INTO resultado;
select "Encontro" into mensaje;
ELSE
insert into insumo(idInsumo,descripcion,eliminado) values(id,descripcion,0);
select 0 into resultado;
select " " into mensaje;
END IF;
END$$
DELIMITER ;
-- INSUMO BAJA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `insumo_baja`(id int,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from insumo where idInsumo=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update insumo set eliminado=1, fechaEliminado=now() where idInsumo=id;
ELSE
select -1 into resultado;
select "No se encontro para eliminar" into mensaje;
END IF;
END$$
DELIMITER ;
-- INSUMO MODIFICACION
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `insumo_modificacion`(id int, descripcion varchar(45),out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from insumo where idInsumo=id;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update insumo set descripcion=descripcion where idInsumo=id;
ELSE
select -1 into resultado;
select "No se encontro para modificar" into mensaje;
END IF;
END$$
DELIMITER ;
-- DETALLE PEDIDO ALTA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `detalle_pedido_alta`(idP int, idM int, cantidad int, out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from detalle_pedido where idPedido=idP and idModelo=idM;
IF (nCantidad > 0) then
select -1 INTO resultado;
select "Encontro" into mensaje;
ELSE
insert into detalle_pedido(idPedido,idModelo,cantidad,eliminado) values(idP,idM,cantidad,0);
select 0 into resultado;
select " " into mensaje;
END IF;
END$$
DELIMITER ;
-- DETALLE PEDIDO BAJA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `detalle_pedido_baja`(idP int, idM int, out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from detalle_pedido where idPedido=idP and idModelo=idM;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update detalle_pedido set eliminado=1, fechaEliminado=now() where idPedido=id and idModelo=idM;
ELSE
select -1 into resultado;
select "No se encontro para eliminar" into mensaje;
END IF;
END$$
DELIMITER ;
-- DETALLE PEDIDO MODIFICACION
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `detalle_pedido_modificacion`(idP int, idM int, cantidad int, out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from detalle_pedido where idPedido=idP;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update detalle_pedido set idModelo=idM, cantidad=cantidad where idPedido=idP;
ELSE
select -1 into resultado;
select "No se encontro para modificar" into mensaje;
END IF;
END$$
DELIMITER ;
-- INSUMO PROVEEDOR ALTA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `insumo_proveedor_alta`(idI int,idP int,precio double,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from insumo_x_proveedor where idInsumo=idI and idProveedor=idP;
IF (nCantidad > 0) then
select -1 INTO resultado;
select "Encontro" into mensaje;
ELSE
insert into insumo_x_proveedor(idInsumo,idProveedor,precio,eliminado) values(idI,idP,precio,0);
select 0 into resultado;
select " " into mensaje;
END IF;
END$$
DELIMITER ;
-- INSUMO PROVEEDOR BAJA
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `insumo_proveedor_baja`(idI int, idP int, out resultado int, out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from insumo_x_proveedor where idProveedor=id and idInsumo=idI;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update insumo_x_proveedor set eliminado=1, fechaEliminado=now() where idProveedor=idP and idInsumo=idI;
ELSE
select -1 into resultado;
select "No se encontro para eliminar" into mensaje;
END IF;
END$$
DELIMITER ;
-- INSUMO PROVEEDOR MODIFICACION
DELIMITER $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `insumo_proveedor_modificacion`(idI int,idP int,precio double,out resultado int,out mensaje varchar(45))
BEGIN
declare nCantidad int;
select count(*) into nCantidad from insumo_x_proveedor where idInsumo=idI and idProveedor=idP;
IF (nCantidad > 0) then
select 0 INTO resultado;
select " " into mensaje;
update insumo_x_proveedor set precio=precio where idInsumo=idI and idProveedor=idP;
ELSE
select -1 into resultado;
select "No se encontro para modificar" into mensaje;
END IF;
END$$
DELIMITER ; | true |
bde3063d07852308a13f88a68df7faa82367780e | SQL | benjamw/pharaoh | /install.sql | UTF-8 | 14,992 | 3.203125 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 3.4.2
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Jun 28, 2011 at 01:47 AM
-- Server version: 5.5.10
-- PHP Version: 5.3.6
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Database: `iohelix_games`
--
-- --------------------------------------------------------
--
-- Table structure for table `ph_chat`
--
CREATE TABLE IF NOT EXISTS `ph_chat` (
`chat_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`message` text COLLATE latin1_general_ci NOT NULL,
`from_id` int(10) unsigned NOT NULL DEFAULT '0',
`game_id` int(10) unsigned NOT NULL DEFAULT '0',
`private` tinyint(1) unsigned NOT NULL DEFAULT '0',
`create_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`chat_id`),
KEY `game_id` (`game_id`),
KEY `private` (`private`),
KEY `from_id` (`from_id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_game`
--
CREATE TABLE IF NOT EXISTS `ph_game` (
`game_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`white_id` int(10) unsigned DEFAULT NULL,
`black_id` int(10) unsigned DEFAULT NULL,
`state` enum('Waiting','Playing','Finished','Draw') COLLATE latin1_general_ci NOT NULL DEFAULT 'Playing',
`extra_info` text COLLATE latin1_general_ci,
`winner_id` int(10) unsigned DEFAULT NULL,
`setup_id` int(10) unsigned NOT NULL,
`paused` tinyint(1) NOT NULL DEFAULT '0',
`create_date` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
`modify_date` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`game_id`),
KEY `state` (`state`),
KEY `white_id` (`white_id`),
KEY `black_id` (`black_id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_game_history`
--
CREATE TABLE IF NOT EXISTS `ph_game_history` (
`game_id` int(10) unsigned NOT NULL DEFAULT '0',
`move` varchar(255) COLLATE latin1_general_ci DEFAULT NULL,
`hits` varchar(255) COLLATE latin1_general_ci DEFAULT NULL,
`board` varchar(87) COLLATE latin1_general_ci NOT NULL,
`extra_info` text COLLATE latin1_general_ci,
`move_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
KEY `game_id` (`game_id`),
KEY `move_date` (`move_date`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_game_nudge`
--
CREATE TABLE IF NOT EXISTS `ph_game_nudge` (
`game_id` int(10) unsigned NOT NULL DEFAULT '0',
`player_id` int(10) unsigned NOT NULL DEFAULT '0',
`nudged` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
UNIQUE KEY `game_player` (`game_id`,`player_id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_message`
--
CREATE TABLE IF NOT EXISTS `ph_message` (
`message_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`subject` varchar(255) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`message` text COLLATE latin1_general_ci NOT NULL,
`create_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`message_id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_message_glue`
--
CREATE TABLE IF NOT EXISTS `ph_message_glue` (
`message_glue_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`message_id` int(10) unsigned NOT NULL DEFAULT '0',
`from_id` int(10) unsigned NOT NULL DEFAULT '0',
`to_id` int(10) unsigned NOT NULL DEFAULT '0',
`send_date` datetime DEFAULT NULL,
`expire_date` datetime DEFAULT NULL,
`view_date` datetime DEFAULT NULL,
`create_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`deleted` tinyint(1) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`message_glue_id`),
KEY `outbox` (`from_id`,`message_id`),
KEY `created` (`create_date`),
KEY `expire_date` (`expire_date`),
KEY `inbox` (`to_id`,`from_id`,`send_date`,`deleted`),
KEY `message_id` (`message_id`,`to_id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_ph_player`
--
CREATE TABLE IF NOT EXISTS `ph_ph_player` (
`player_id` int(11) unsigned NOT NULL DEFAULT '0',
`is_admin` tinyint(1) unsigned NOT NULL DEFAULT '0',
`allow_email` tinyint(1) unsigned NOT NULL DEFAULT '1',
`color` varchar(25) COLLATE latin1_general_ci NOT NULL DEFAULT 'blue_white',
`invite_opt_out` tinyint(1) NOT NULL DEFAULT '0',
`max_games` tinyint(3) unsigned NOT NULL DEFAULT '0',
`wins` smallint(5) unsigned NOT NULL DEFAULT '0',
`draws` smallint(5) unsigned NOT NULL DEFAULT '0',
`losses` smallint(5) unsigned NOT NULL DEFAULT '0',
`last_online` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP,
UNIQUE KEY `id` (`player_id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `ph_settings`
--
CREATE TABLE IF NOT EXISTS `ph_settings` (
`setting` varchar(255) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`value` text COLLATE latin1_general_ci NOT NULL,
`notes` text COLLATE latin1_general_ci,
`sort` smallint(5) unsigned NOT NULL DEFAULT '0',
UNIQUE KEY `setting` (`setting`),
KEY `sort` (`sort`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
--
-- Dumping data for table `ph_settings`
--
INSERT INTO `ph_settings` (`setting`, `value`, `notes`, `sort`) VALUES
('site_name', 'Your Site', 'The name of your site', 10),
('default_color', 'c_red_black.css', 'The default theme color for the script pages', 20),
('nav_links', '<a href="/">Home</a>', 'HTML code for your site''s navigation links to display on the script pages', 30),
('from_email', 'auto.mail@yoursite.net', 'The email address used to send game emails', 40),
('to_email', 'you@yoursite.net', 'The email address to send admin notices to (comma separated)', 50),
('new_users', '1', '(1/0) Allow new users to register (0 = off)', 60),
('approve_users', '0', '(1/0) Require admin approval for new users (0 = off)', 70),
('confirm_email', '0', '(1/0) Require email confirmation for new users (0 = off)', 80),
('max_users', '0', 'Max users allowed to register (0 = off)', 90),
('default_pass', 'change!me', 'The password to use when resetting a user''s password', 100),
('expire_users', '45', 'Number of days until untouched user accounts are deleted (0 = off)', 110),
('save_games', '1', '(1/0) Save games in the ''games'' directory on the server (0 = off)', 120),
('expire_finished_games', '7', 'Number of days until finished games are deleted (0 = off)', 128),
('expire_games', '30', 'Number of days until untouched games are deleted (0 = off)', 130),
('nudge_flood_control', '24', 'Number of hours between nudges. (-1 = no nudging, 0 = no flood control)', 135),
('timezone', 'UTC', 'The timezone to use for dates (<a href="http://www.php.net/manual/en/timezones.php">List of Timezones</a>)', 140),
('long_date', 'M j, Y g:i a', 'The long format for dates (<a href="http://www.php.net/manual/en/function.date.php">Date Format Codes</a>)', 150),
('short_date', 'Y.m.d H:i', 'The short format for dates (<a href="http://www.php.net/manual/en/function.date.php">Date Format Codes</a>)', 160),
('debug_pass', '', 'The DEBUG password to use to set temporary DEBUG status for the script', 170),
('DB_error_log', '1', '(1/0) Log database errors to the ''logs'' directory on the server (0 = off)', 180),
('DB_error_email', '0', '(1/0) Email database errors to the admin email addresses given (0 = off)', 190);
-- --------------------------------------------------------
--
-- Table structure for table `ph_setup`
--
CREATE TABLE IF NOT EXISTS `ph_setup` (
`setup_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE latin1_general_ci NOT NULL,
`board` varchar(87) COLLATE latin1_general_ci NOT NULL,
`reflection` enum('Origin','Short','Long','None') COLLATE latin1_general_ci NOT NULL DEFAULT 'Origin',
`has_horus` tinyint(1) NOT NULL DEFAULT '0',
`has_tower` tinyint(1) NOT NULL DEFAULT '0',
`used` int(11) NOT NULL DEFAULT '0',
`silver_wins` int(10) unsigned NOT NULL DEFAULT '0',
`draws` int(10) unsigned NOT NULL DEFAULT '0',
`red_wins` int(10) unsigned NOT NULL DEFAULT '0',
`shortest_game` int(10) unsigned DEFAULT NULL,
`longest_game` int(10) unsigned DEFAULT NULL,
`active` tinyint(1) NOT NULL DEFAULT '1',
`created` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`created_by` int(10) unsigned NOT NULL DEFAULT '0' COMMENT 'the player id of the player that created the setup',
PRIMARY KEY (`setup_id`),
KEY `has_horus` (`has_horus`),
KEY `has_tower` (`has_tower`),
KEY `active` (`active`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
--
-- Dumping data for table `ph_setup`
--
INSERT INTO `ph_setup` (`setup_id`, `name`, `board`, `reflection`, `has_horus`, `has_sphynx`, `has_anubis`, `has_tower`, `used`, `created`, `created_by`) VALUES
(NULL, 'Classic', '4wpwb2/2c7/3D6/a1C1xy1b1D/b1D1YX1a1C/6b3/7A2/2DWPW4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Dynasty', '4cwb3/5p4/a3cwy3/b1x1D1B3/3d1b1X1D/3YWA3C/4P5/3DWA4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Imhotep', '4wpwy2/10/3D2a3/aC2By2bD/bD2Yd2aC/3C2b3/10/2YWPW4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Osiris', '1Y3cp1bC/2w3wb2/6D3/a3ix3D/b3XI3C/3b6/2DW3W2/aD1PA3y1', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Isis', '6wpb1/a1x3cw2/1X8/a1a1DI2c1/1A2ib1C1C/8x1/2WA3X1C/1DPW6', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Classic 2', '4wpwb2/2c7/3D6/a1C1xi1b1D/b1D1IX1a1C/6b3/7A2/2DWPW4', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Dynasty 2', '4cwb3/5p4/a3cwy3/b1h1D1B3/3d1b1H1D/3YWA3C/4P5/3DWA4', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Imhotep 2', '4wpwy2/10/3D2a3/aC2Bi2bD/bD2Id2aC/3C2b3/10/2YWPW4', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Khufu', '4wpwb2/5cb3/a5D3/4yX1a1D/b1C1Xy4/3b5C/3DA5/2DWPW4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Imseti', '1B1wpb4/2Xbcw4/10/a3xc3D/b3AX3C/10/4WADx2/4DPW1d1', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Nefertiti', '4w1w3/3c1pb3/2C1cy1c2/a1Y6D/b6y1C/2A1YA1a2/3DP1A3/3W1W4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Rameses', '3w1pwb2/4bc4/2Cb2x3/a4X3D/b3x4C/3X2Da2/4AD4/2DWP1W3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Amarna', '1CBcwpw3/4bcb3/10/a2x2x3/3X2X2C/10/3DAD4/3WPWAda1', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Saqqara', '3cwp1wb1/4bxb3/a2D6/4X4D/b4x4/6b2C/3DXD4/1DW1PWA3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Djoser''s Step', '3cw1w1b1/5p1b2/4bxb3/a4y3D/b3Y4C/3DXD4/2D1P5/1D1W1WA3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Horemheb', '3c3b2/4wpw3/3x1x1b2/a3c1b2D/b2D1A3C/2D1X1X3/3WPW4/2D3A3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Senet', '4cwb3/a2c1p1b2/4xwy3/5b3C/a3D5/3YWX4/2D1P1A2C/3DWA4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Tutankhamun', '3w4b1/a1cpb5/3w1b4/b1x1y1b3/3D1Y1X1D/4D1W3/5DPA1C/1D4W3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Offla', '3c1pwb2/4cwb3/2X2x4/a4D3D/b3b4C/4X2x2/3DWA4/2DWP1A3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Ebana', '3xwpwb2/5x4/2DA6/a1CB5D/b5da1C/6cb2/4X5/2DWPWX3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Qa''a', '3xwpwb2/4cy4/8bD/3c2b2C/a2D2A3/bD8/4YA4/2DWPWX3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Qa''a 2', '3xwpwb2/4cy4/8bD/3c2b1hC/aH1D2A3/bD8/4YA4/2DWPWX3', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Seti I', '1XB1cw1pb1/a4cwy1D/6b3/10/10/3D6/b1YWA4C/1DP1WA1dx1', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Seti II', '1XB1cw1pb1/a4cwy1D/6b3/5i4/4I5/3D6/b1YWA4C/1DP1WA1dx1', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Ay', '4cw1wbC/3CB5/5x4/a3Ypb3/3DPy3C/4X5/5da3/aDW1WA4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Horemheb 2', '3c3b2/4wpw3/3h1x1b2/a3c1b2D/b2D1A3C/2D1X1H3/3WPW4/2D3A3', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Akhenaten 2', '1B1c1p1bc1/4cwb3/h1y7/4da1X1H/h1x1CB4/7Y1H/3DWA4/1AD1P1A1d1', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Akhenaten', '1B1c1p1bc1/4cwb3/a1y7/4da1X1D/b1x1CB4/7Y1C/3DWA4/1AD1P1A1d1', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Dendera', '2c4b2/1x2da2y1/3d2a3/2d1pi1a2/2C1IP1B2/3C2B3/1Y2CB2X1/2D4A2', 'Origin', 1, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Nefertiti B', '4w1w3/3c1pb3/a1C1cy1c2/b1Y7/7y1D/2A1YA1a1C/3DP1A3/3W1W4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Tutankhamun B', '4w3b1/a2cpb4/4w1b3/b2x1y1b2/2D1Y1X2D/3D1W4/4DPA2C/1D3W4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Setup No. 1', '4wpw3/5b4/4b1c2C/a4xy1bD/bD1YX4C/a2A1D4/4D5/3WPW4', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Diamond', '3cwb4/4p5/3Dw5/aC2yx2cD/bA2XY2aC/5Wb3/5P4/4DWA3', 'Origin', 0, 0, 0, 0, 0, NOW(), 0),
(NULL, 'Ivory', '2cpw1B2C/3w6/1a6c1/aC2x1X3/3x1X2aC/1A6C1/6W3/a2d1WPA2', 'Origin', 0, 0, 0, 0, 0, NOW(), 0);
-- --------------------------------------------------------
--
-- Table structure for table `ph_stats`
--
DROP TABLE IF EXISTS `ph_stats`;
CREATE TABLE IF NOT EXISTS `ph_stats` (
`player_id` int(10) unsigned NOT NULL,
`game_id` int(10) unsigned NOT NULL,
`setup_id` int(10) unsigned NOT NULL,
`color` enum('white','black') COLLATE latin1_general_ci NOT NULL,
`win` tinyint(1) NOT NULL DEFAULT '0',
`move_count` int(10) unsigned NOT NULL DEFAULT '0',
`start_date` datetime NOT NULL,
`end_date` datetime NOT NULL,
`hour_count` float(8,3) NOT NULL DEFAULT '0.000',
UNIQUE KEY `player_id` (`player_id`,`game_id`,`setup_id`),
KEY `move_count` (`move_count`),
KEY `hour_count` (`hour_count`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
-- --------------------------------------------------------
--
-- Table structure for table `player`
--
CREATE TABLE IF NOT EXISTS `player` (
`player_id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`username` varchar(20) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`first_name` varchar(20) COLLATE latin1_general_ci DEFAULT NULL,
`last_name` varchar(20) COLLATE latin1_general_ci DEFAULT NULL,
`email` varchar(255) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`timezone` varchar(255) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`is_admin` tinyint(1) unsigned NOT NULL DEFAULT '0',
`password` varchar(32) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`alt_pass` varchar(32) COLLATE latin1_general_ci NOT NULL DEFAULT '',
`ident` varchar(32) COLLATE latin1_general_ci DEFAULT NULL,
`token` varchar(32) COLLATE latin1_general_ci DEFAULT NULL,
`create_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`is_approved` tinyint(1) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`player_id`),
UNIQUE KEY `username` (`username`),
UNIQUE KEY `email` (`email`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci;
| true |
fc5324d6f722f72fc2c7a4dae9df9b4ef792953b | SQL | hxmn/WIM | /WIM/WIM_GATEWAY/WIM_ROLLUP/Archive/Ad Hoc Test Script.sql | UTF-8 | 506 | 2.53125 | 3 | [] | no_license | select rowid, wv.* from ppdm.well_version wv where uwi = '1000';
select rowid, w.* from ppdm.well w where uwi = '1000';
select rowid, wnv.* from ppdm.well_node_version wnv where ipl_uwi = '1000';
select rowid, wn.* from ppdm.well_node wn where ipl_uwi = '1000';
exec wim_rollup.well_rollup('1000');
select * from wim_audit_log where row_created_date > sysdate - 1 order by row_created_date desc ;
select * from ppdm.tlm_process_log where row_created_on > sysdate - 1 order by row_created_on desc; | true |
a4a0f8f02edd5bb87e6debdb35c6d786a397da8c | SQL | anne75/holbertonschool-higher_level_programming | /0x0D-SQL_more_queries/13-count_shows_by_genre.sql | UTF-8 | 345 | 3.6875 | 4 | [] | no_license | -- In db passed by argument hbtn_od_tvshows
-- List all genres and the number of times they are referenced
-- Use only one S clause
SELECT tv_genres.`name` AS 'genre', COUNT(tv_show_genres.genre_id) AS 'number_shows'
FROM tv_show_genres
INNER JOIN tv_genres on tv_genres.id = tv_show_genres.genre_id
GROUP BY tv_genres.`name`
ORDER BY 2 DESC
;
| true |
f57bb6712dc0773c54001609a3e405e8f8378096 | SQL | mpuzanov/otus-go | /calendar/scripts/initdb.sql | UTF-8 | 490 | 3.765625 | 4 | [] | no_license |
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
CREATE TABLE if not exists events
(
"id" uuid NOT NULL DEFAULT uuid_generate_v4(),
"header" character varying(100) NOT NULL,
"text" text,
"start_time" timestamp without time zone NOT NULL,
"end_time" timestamp without time zone NOT NULL,
"user_id" character varying(30) NOT NULL,
"reminder_before" interval(6),
CONSTRAINT events_pkey PRIMARY KEY ("id")
);
CREATE INDEX user_idx ON events USING btree (user_id);
| true |
edde05cdbdde6912740d4e67552d6f1d8ad8ee31 | SQL | szaboeman/szakmaiErettsegi | /2006_kozismereti_februar_erettsegi/adatbaziskezeles/megoldas.sql | UTF-8 | 816 | 3.625 | 4 | [] | no_license | --1-2. feladat:
create database csaladfa default charset utf8 collate utf8_hungarian_ci;
--3. feladat:
select nev, mettol, meddig
from csaladtag
where nev like "%Péter%"
--4. feladat
select nev, meddig-mettol as "kor"
from csaladtag
where nev="György"
--5. feladat
select nev, mettol
from csaladtag
where mettol>=1780 and mettol<=1800
--6. feladat
select nev, meddig-mettol as "kor"
from csaladtag
order by kor desc
limit 1
--7. feladat
select sz.anyja
from csaladtag cs, szulo sz
where cs.azon=sz.azon and cs.nev="Rita"
--8. feladat
select nev
from csaladtag
where azon in (select sz.apja
from csaladtag cs, szulo sz
where cs.azon=sz.azon and cs.nev="Rita");
--9. feladat
select nev
from csaladtag
where azon in (select apja
from szulo
group by apja
having count(*)>1)
| true |
eb3ab6b0110f11586f6d0ae52e9607f7127a5dc6 | SQL | pierrecwchen/ConnectMySQL | /GameCharacter.sql | UTF-8 | 5,568 | 3.640625 | 4 | [] | no_license | #------------------------------------------------------
# Game Characters Database
# Auther: Ching Wen Chen (102921)
# Assignment 5
#
# There is NO engine support check constraint
# in mySQL, and only innodb support foreign keys.
#------------------------------------------------------
#---------------------------------------------------------
#
# Create a characters table
#
#---------------------------------------------------------
drop table characters;
create table characters(
characterID char(5) PRIMARY KEY,
characterName varchar(100),
characterLevel int,
gender char(1),
check(gender = 'F' OR gender = 'M' AND characterLevel >= 1)
);
load data local infile "Characters.dat" into table characters;
#---------------------------------------------
#---------------------------------------------------------
#
# Create a parties table
#
#---------------------------------------------------------
drop table parties;
create table parties(
partyID char(5) PRIMARY KEY,
partyName varchar(100),
numberOfMember int,
rate int,
check(numberOfMember >= 1 AND rate >= 1)
);
load data local infile "Parties.dat" into table parties;
#--------------------------------------------
#---------------------------------------------------------
#
# Create a partyMembers table
#
#---------------------------------------------------------
drop table partyMembers;
create table partyMembers(
characterID char(5),
partyID char(20),
positionC char(50),
foreign key(partyID) references parties(partyID),
primary key(characterID, partyID)
);
load data local infile "PartyMembers.dat" into table partyMembers;
#--------------------------------------------
#---------------------------------------------------------
#
# Create a weapons table
#
#---------------------------------------------------------
drop table weapons;
create table weapons(
weaponName char(100) primary key,
weaponType char(70),
attackSpeed float,
attackRange float,
introductionW char(255),
check(attackSpeed >= 1.0 AND attackRange >= 1.0)
);
load data local infile "Weapons.dat" into table weapons;
#------------------------------------------
#---------------------------------------------------------
#
# Create a skills table
#
#---------------------------------------------------------
drop table skills;
create table skills(
skillName char(100) primary key,
skillRange float,
introductionS char(255),
coolDown float,
skillLevel int,
check (skillRange >= 1.0 and skillRange <= 20.0 and skillLevel >= 1)
);
load data local infile "Skills.dat" into table skills;
#-------------------------------------------
#---------------------------------------------------------
#
# Create a learns table
#
#---------------------------------------------------------
drop table learns;
create table learns(
skillName char(100) references skills(skillName),
characterID char(5),
price float,
primary key(skillName, characterID)
);
load data local infile "Learns.dat" into table learns;
#------------------------------------------
#---------------------------------------------------------
#
# Create a houses table
#
#---------------------------------------------------------
drop table houses;
create table houses(
houseID char(5) primary key,
houseLocation char(100),
houseType char(100),
isLocked boolean
);
load data local infile "Houses.dat" into table houses;
#------------------------------------------
#---------------------------------------------------------
#
# Create a races table
#
#---------------------------------------------------------
drop table races;
create table races(
raceName char(100) primary key,
trait char(150),
traitInfo char(255),
introductionR char(255)
);
load data local infile "Race.dat" into table races;
#----------------------------------------------------------------------------
#----------------------------------------------------------------------------
#
# Create a characterList table
#
#----------------------------------------------------------------------------
drop table characterList;
create table characterList(
raceName char(100),
characterID char(5),
weaponName char(100),
houseID char(5),
primary key(raceName, characterID, weaponName, houseID)
);
load data local infile "CharacterList.dat" into table characterList;
#---------------------------------------------------------------------------
#---------------------------------------------------------------------------
#
# Create a view which shows only character name, character level, and race name.
#
#---------------------------------------------------------------------------
drop view otherCharacter;
create view otherCharacter (character_name, character_level, race_name) as
select characters.characterName, characters.characterLevel, characterList.raceName
from characters join characterList on characters.characterID = characterList.characterID;
#---------------------------------------------------------------------------
#---------------------------------------------------------------------------
#
# Create a view which shows only character name, party name, and party rate.
#
#---------------------------------------------------------------------------
drop view basicCharacterPartyInfo;
create view basicCharacterPartyInfo (character_name, party_name, party_rate) as
select characters.characterName, parties.partyName, parties.rate
from characters join partyMembers on characters.characterID = partyMembers.characterID join
parties on parties.partyID = partyMembers.partyID;
| true |
f9347805e617371b32245d7cebba2d9715866b26 | SQL | wucaiqiang/yundao-common | /src/main/resources/db/v1.0.0/ouyangli_init_sql/6-tenant_admin_user_init.sql | UTF-8 | 1,537 | 2.53125 | 3 | [] | no_license | set @_tenantId = 1;
set @_user_account_id1 = 1;
set @_user_username1 = 'liaofei';
set @_userMobile1 = '13751113926';
set @_user_role = 1;
INSERT INTO `user_account` (`id`, `tenant_id`, `username`, `mobile`, `email`, `password`, `is_lock`, `is_enabled`,`is_system`,`create_date`, `create_user_id`, `update_user_id`, `update_date`, `is_delete`)
VALUES (@_user_account_id1, @_tenantId, @_user_username1, @_userMobile1, NULL, NULL, 0, 1,1, NULL, NULL, NULL, NULL, 0);
INSERT INTO `user_department` ( `tenant_id`, `user_account_id`, `department_id`, `is_enabled`, `create_date`, `create_user_id`, `update_user_id`, `update_date`, `is_delete`)
VALUES ( @_tenantId, @_user_account_id1, 0, 1, NULL, NULL, NULL, NULL, 0);
INSERT INTO `user_detail` (`tenant_id`, `user_account_id`, `nick_name`, `real_name`, `birth`, `sex`, `register_source`, `create_date`, `create_user_id`, `update_user_id`, `update_date`, `is_delete`)
VALUES (@_tenantId, @_user_account_id1, NULL, @_user_username1, NULL, 0, NULL, null, NULL, NULL, NULL, 0);
INSERT INTO `user_role` (`tenant_id`, `user_account_id`, `role_id`, `is_enabled`, `create_date`, `create_user_id`, `update_user_id`, `update_date`, `is_delete`)
VALUES (@_tenantId, @_user_account_id1, @_user_role, 1, NULL, NULL, NULL, NULL, 0);
INSERT INTO `user_staff` (`tenant_id`, `user_account_id`, `is_dimission`, `job_number`, `leader_id`, `create_date`, `create_user_id`, `update_user_id`, `update_date`, `is_delete`)
VALUES (@_tenantId, @_user_account_id1, 0, NULL, NULL, NULL, NULL, NULL, NULL, 0); | true |
db0ca337df16e6f0d09f533ec9de42bdf0c342e2 | SQL | pranavpsv/recipeApp | /app/recipes/recipe_queries/sample_interaction_review.sql | UTF-8 | 849 | 2.8125 | 3 | [] | no_license | -- This query mimics the interaction queries generated by the backend that will fill the Interaction table
-- Triggers have been set up in the create_prod_tables script that will update the Recipe and User tables with the new rating and review
-- Below is a interaction where the user has rated a dish with a 5/5 and commented on the recipe
-- The values inserted represent user input
-- TODO: Replace hardcoded values with %s
INSERT INTO Interaction
(
user_id,
recipe_id,
interaction_date,
rating,
review
)
VALUE
(
2,1,
'2020-2-2',
5,
'Wow super tasty, i love chicken'
);
| true |
ee7f3d8f189ecbcf026bffc71c03b51bdf944d28 | SQL | MRManohar/Lab-DDL-command-prograd-kabbadi-league | /ddl-pkl.sql | UTF-8 | 1,668 | 3.765625 | 4 | [] | no_license | -- PROGRESSION - 1
-- 1. **Create table city**
create table city(
ID int,
name varchar(50)
);
-- 2. **Create table referee**
create table referee as(select * from city);
-- 3. **Create table innings**
create table innings(
id int,
innings_number int
);
-- 4. **Create table extra_type**
create table extra_type(
id int,
name varchar(50)
);
-- 5. **Create table skill**
create table skill (
ID int,
name varchar(50)
);
-- 6. **Create table team**
create table team(
id int,
name varchar(50),
coach varchar(50),
home_city int,
captain int
);
-- 7. **Create table player**
create table player(
id int,
name varchar(50),
country varchar(50),
skill_Id int,
team_Id int
);
-- 8. **Create table venue**
create table venue(
id int,
stadium_name varchar(50),
city_id int
);
-- 9. **Create table event**
create table event(
id int,
innings_id int,
event_no int,
raider_id int,
raid_points int,
defending_points int,
clock_in_seconds int,
team_one_score int,
team_two_score int
);
-- 10. **Create table extra_event**
create table extra_event(
id int,
event_id int,
extra_type_id int,
points int,
scoring_teaming_id int
);
-- 11. **Create table outcome**
create table outcome(
id int,
status varchar(100),
winner_team_id int,
score int,
player_of_match int
);
-- 12. **Create table game**
create table game(
id int,
game_date DATE,
team_id_1 int,
team_id_2 int,
venue_id int,
outcome_id int,
referee_id_1 int,
referee_id_2 int,
first_innings_id int,
second_innings_id int
);
-- 13. **Drop table city**
drop table city;
-- 14. **Drop table innings**
drop table innings;
-- 15. **Drop table skill**
drop table skill;
-- 16. **Drop table extra_type**
drop table extra_type | true |
d49dff827472983563f6d30e4b000638007fc917 | SQL | pedroArtico/Cinema-em-C- | /Untitled_mysql_create.sql | UTF-8 | 2,514 | 3.421875 | 3 | [] | no_license | CREATE TABLE `Sala` (
`ID_sala` INT NOT NULL,
`tipo` varchar NOT NULL,
`numPoltronas` INT NOT NULL,
PRIMARY KEY (`ID_sala`)
);
CREATE TABLE `Sessao` (
`ID_sessao` INT NOT NULL,
`precoBase` FLOAT NOT NULL,
`ID_sala` INT NOT NULL,
`ID_filme` INT NOT NULL,
PRIMARY KEY (`ID_sessao`)
);
CREATE TABLE `Filme` (
`ID_filme` INT NOT NULL,
`nome` varchar(30) NOT NULL,
`duracao` FLOAT NOT NULL,
`iniExib` DATE NOT NULL,
`fimExib` DATE NOT NULL,
PRIMARY KEY (`ID_filme`)
);
CREATE TABLE `Ingresso` (
`ID_ingresso` INT NOT NULL,
`formaPgto` varchar(10) NOT NULL,
`tipo` varchar(10) NOT NULL,
`ID_sessao` INT NOT NULL,
`ID_funcionario` INT NOT NULL,
`ID_poltrona` INT NOT NULL,
PRIMARY KEY (`ID_ingresso`)
);
CREATE TABLE `Funcionario` (
`ID_funcionario` INT NOT NULL,
`nome` varchar(50) NOT NULL,
`login` varchar(20) NOT NULL UNIQUE,
`senha` varchar(20) NOT NULL,
`tipo` varchar(15) NOT NULL,
PRIMARY KEY (`ID_funcionario`)
);
CREATE TABLE `Poltrona` (
`ID_poltrona` INT NOT NULL,
`numPoltrona` INT NOT NULL,
`estadoOcupada` BOOLEAN NOT NULL,
`coordenada` INT NOT NULL,
PRIMARY KEY (`ID_poltrona`)
);
CREATE TABLE `CoordenadaPoltrona` (
`ID_coordenada` INT NOT NULL,
`poltronaFileira` INT NOT NULL,
`poltronaColuna` INT NOT NULL,
PRIMARY KEY (`ID_coordenada`)
);
CREATE TABLE `Sessao_Poltronas` (
`ID_sessaoPoltronas` INT NOT NULL,
`ID_sessao` INT NOT NULL,
`ID_poltrona` INT NOT NULL,
PRIMARY KEY (`ID_sessaoPoltronas`)
);
ALTER TABLE `Sessao` ADD CONSTRAINT `Sessao_fk0` FOREIGN KEY (`ID_sala`) REFERENCES `Sala`(`ID_sala`);
ALTER TABLE `Sessao` ADD CONSTRAINT `Sessao_fk1` FOREIGN KEY (`ID_filme`) REFERENCES `Filme`(`ID_filme`);
ALTER TABLE `Ingresso` ADD CONSTRAINT `Ingresso_fk0` FOREIGN KEY (`ID_sessao`) REFERENCES `Sessao`(`ID_sessao`);
ALTER TABLE `Ingresso` ADD CONSTRAINT `Ingresso_fk1` FOREIGN KEY (`ID_funcionario`) REFERENCES `Funcionario`(`ID_funcionario`);
ALTER TABLE `Ingresso` ADD CONSTRAINT `Ingresso_fk2` FOREIGN KEY (`ID_poltrona`) REFERENCES `Poltrona`(`ID_poltrona`);
ALTER TABLE `Poltrona` ADD CONSTRAINT `Poltrona_fk0` FOREIGN KEY (`coordenada`) REFERENCES `CoordenadaPoltrona`(`ID_coordenada`);
ALTER TABLE `Sessao_Poltronas` ADD CONSTRAINT `Sessao_Poltronas_fk0` FOREIGN KEY (`ID_sessao`) REFERENCES `Sessao`(`ID_sessao`);
ALTER TABLE `Sessao_Poltronas` ADD CONSTRAINT `Sessao_Poltronas_fk1` FOREIGN KEY (`ID_poltrona`) REFERENCES `Poltrona`(`ID_poltrona`);
| true |
0babf539894f32107a557608e079887480cd5a3b | SQL | wojtek960506/OldUniversityProjects | /2018_4thSem_SQL_FlightScheduleDatabase/Project/Inserts/LittleInserts.sql | UTF-8 | 2,503 | 3.375 | 3 | [] | no_license | --inserty do mniejszych tabel
--linie lotnicze
INSERT INTO airlines (airline_name, airline_country) VALUES ('TAP Portugal', 'Portugal');
INSERT INTO airlines (airline_name, airline_country) VALUES ('Iberia', 'Spain');
INSERT INTO airlines (airline_name, airline_country) VALUES ('Alitalia', 'Italy');
COMMIT;
--lotniska
INSERT INTO airports (airport_code, airport_name, airport_city, airport_country) VALUES ('VLC', 'Valencia Airport', 'Valencia', 'Spain');
INSERT INTO airports (airport_code, airport_name, airport_city, airport_country) VALUES ('KBP', 'Boryspil International Airport', 'Kiev', 'Ukraine');
INSERT INTO airports (airport_code, airport_name, airport_city, airport_country) VALUES ('BTS', 'M. R. Stefanik Airport', 'Bratislava', 'Slovakia');
COMMIT;
--turysci
INSERT INTO tourists VALUES (0,'Cristiano', 'Ronaldo', 'Portugal');
INSERT INTO tourists VALUES (0,'Lionel', 'Messi', 'Argentina');
INSERT INTO tourists VALUES (0,'Edison', 'Cavani', 'Uruguay');
INSERT INTO tourists VALUES (0,'Steve', 'Mandanda', 'France');
COMMIT;
--loty
INSERT INTO flights VALUES (0, 'EgyptAir', '2018-01-28 15:50', 'VLC', '2018-01-30 16:20', 'KBP', 1500);
INSERT INTO flights VALUES (0, 'Turkish Airlines', '2018-02-05 15:50', 'MAD', '2018-02-06 16:51', 'VLC', 230);
INSERT INTO flights VALUES (0, 'China Eastern Airlines', '2018-03-21 16:30', 'JFK', '2018-03-21 17:31', 'BTS', 1999);
COMMIT;
--rezerwacje
INSERT INTO reservations (tourist_id) VALUES (3004);
INSERT INTO reservations (tourist_id) VALUES (3003);
INSERT INTO reservations (tourist_id) VALUES (3002);
INSERT INTO reservations (tourist_id) VALUES (3001);
COMMIT;
--loty do rezerwacji
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (104,1);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (104,2);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (104,3);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (104,4);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (104,5);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (103,11);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (103,12);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (103,13);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (102,21);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (102,22);
INSERT INTO flights_reservations (reservation_id,flight_id) VALUES (101,31);
COMMIT;
| true |
d4dfdca9838f3e6704df286a5a15733f2ac538ad | SQL | olegnysss/printing | /src/main/resources/database/indexes.sql | UTF-8 | 298 | 2.84375 | 3 | [] | no_license | CREATE INDEX user_index ON users (id);
CREATE INDEX order_index ON orders (id);
CREATE INDEX message_index ON message (id);
CREATE INDEX response_index ON responses (order_id, executor_id);
CREATE INDEX equipment_index ON equipment (equip_name);
CREATE INDEX material_index ON material (mat_title); | true |
e2542fa1fa28d507637346ce3d08d70a49724f5d | SQL | NAVADMC/NAADSM3_Archive | /gui/database_schemas/DBSchema3_1_20_GOLD.DDL | UTF-8 | 4,104 | 3.203125 | 3 | [] | no_license | -- This SQL DDL script was generated by manually
-- by Aaron Reeves <Aaron.Reeves@colostate.edu>
-- on January 7, 2009 at 2:48 PM.
create table `dynHerd_IM0` (
`herdID` Counter,
`productionTypeID` Long,
`latitude` Double,
`longitude` Double,
`initialStateCode` Char(1),
`daysLeftInInitialState` Long,
`initialSize` Long,
`finalStateCode` Char(1),
`finalApparentStateCode` Char(1),
`cumInfected` Long,
`cumDestroyed` Long,
`cumVaccinated` Long,
`cumDetected` Long);
insert into `dynHerd_IM0` ( `herdID`, `productionTypeID`, `latitude`, `longitude`, `initialStateCode`, `daysLeftInInitialState`, `initialSize`, `finalStateCode`, `finalApparentStateCode`, `cumInfected`, `cumDestroyed`, `cumVaccinated`, `cumDetected`)
select `dynHerd`.`herdID`,
`dynHerd`.`productionTypeID`,
`dynHerd`.`latitude`,
`dynHerd`.`longitude`,
`dynHerd`.`initialStateCode`,
`dynHerd`.`daysLeftInInitialState`,
`dynHerd`.`initialSize`,
`dynHerd`.`finalStateCode`,
`dynHerd`.`finalApparentStateCode`,
`dynHerd`.`cumInfected`,
`dynHerd`.`cumDestroyed`,
`dynHerd`.`cumVaccinated`,
`dynHerd`.`cumDetected`
from `dynHerd`;
alter table `dynHerd`
drop constraint `inProductionType_dynHerd_FK1`;
alter table `dynHerd`
drop constraint `readStatusCodes_dynHerd_FK2`;
alter table `dynHerd`
drop constraint `readStatusCodes_dynHerd_FK1`;
alter table `dynHerd`
drop constraint `readApparentStateCodes_dynHerd_FK1`;
alter table `outDailyEvents`
drop constraint `dynHerd_outDailyEvents_FK1`;
alter table `outDailyExposures`
drop constraint `dynHerd_outDailyExposures_FK1`;
alter table `outDailyExposures`
drop constraint `dynHerd_outDailyExposures_FK2`;
drop table `dynHerd`;
create table `dynHerd` (
`herdID` Counter,
`productionTypeID` Long,
`latitude` Double,
`longitude` Double,
`initialStateCode` Char(1),
`daysInInitialState` Long,
`daysLeftInInitialState` Long,
`initialSize` Long,
`finalStateCode` Char(1),
`finalApparentStateCode` Char(1),
`cumInfected` Long,
`cumDestroyed` Long,
`cumVaccinated` Long,
`cumDetected` Long);
insert into `dynHerd` ( `herdID`, `productionTypeID`, `latitude`, `longitude`, `initialStateCode`, `daysLeftInInitialState`, `initialSize`, `finalStateCode`, `finalApparentStateCode`, `cumInfected`, `cumDestroyed`, `cumVaccinated`, `cumDetected`)
select `dynHerd_IM0`.`herdID`,
`dynHerd_IM0`.`productionTypeID`,
`dynHerd_IM0`.`latitude`,
`dynHerd_IM0`.`longitude`,
`dynHerd_IM0`.`initialStateCode`,
`dynHerd_IM0`.`daysLeftInInitialState`,
`dynHerd_IM0`.`initialSize`,
`dynHerd_IM0`.`finalStateCode`,
`dynHerd_IM0`.`finalApparentStateCode`,
`dynHerd_IM0`.`cumInfected`,
`dynHerd_IM0`.`cumDestroyed`,
`dynHerd_IM0`.`cumVaccinated`,
`dynHerd_IM0`.`cumDetected`
from `dynHerd_IM0`;
update `dynHerd` set `daysInInitialState` = -1;
alter table `dynHerd`
add constraint `dynHerd_PK` primary key (`herdID`) ;
alter table `dynHerd`
add constraint `inProductionType_dynHerd_FK1` foreign key (
`productionTypeID`)
references `inProductionType` (
`productionTypeID`);
alter table `dynHerd`
add constraint `readStatusCodes_dynHerd_FK2` foreign key (
`initialStateCode`)
references `readStatusCodes` (
`statusCode`);
alter table `dynHerd`
add constraint `readStatusCodes_dynHerd_FK1` foreign key (
`finalStateCode`)
references `readStatusCodes` (
`statusCode`);
alter table `dynHerd`
add constraint `readApparentStateCodes_dynHerd_FK1` foreign key (
`finalApparentStateCode`)
references `readApparentStateCodes` (
`apparentStateCode`);
alter table `outDailyEvents`
add constraint `dynHerd_outDailyEvents_FK1` foreign key (
`herdID`)
references `dynHerd` (
`herdID`);
alter table `outDailyExposures`
add constraint `dynHerd_outDailyExposures_FK1` foreign key (
`exposedHerdID`)
references `dynHerd` (
`herdID`);
alter table `outDailyExposures`
add constraint `dynHerd_outDailyExposures_FK2` foreign key (
`exposingHerdID`)
references `dynHerd` (
`herdID`);
drop table `dynHerd_IM0`;
| true |
0fd64881302bcb4a2a775b70ebea057ef836d902 | SQL | toannguyen71195/REMServer | /toannguyen.rem.dal/resources/SQL Script/5-Extra.sql | UTF-8 | 14,887 | 2.859375 | 3 | [] | no_license | use estate_manager;
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', 'Tân Phú', 'Hiệp Tân', '239 - 241 và 278 Hòa Bình');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', '8', 'Căn hộ chung cư tại City Gate Towers', '');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', 'Thủ Đức', 'Linh Trung', 'Dự án Depot Metro Tower, Đường Lê Văn Chí');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', '2', '', 'Dự án Citi Soho');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', '7', 'Phú Thuận', 'Dự án Saigon Panorama, Đường Hoàng Quốc Việt');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', '12', 'Tân Thới Nhất', 'Dự án Prosper Plaza, Đường Phan Văn Hớn');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', 'Bình Tân', 'Bình Hưng Hòa A', 'Dự án 8X Rainbow, Đường Bình Long');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', '2', '', 'Dự án Lakeview City');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', 'Bình Chánh', '', 'Đường Quốc Lộ 50');
insert into address(City, District, Ward, Address)
values('Hồ Chí Minh', '2', 'Thảo Điền', 'Dự án Masteri Thảo Điền, Đường Xa Lộ Hà Nội');
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (11, 'Căn hộ Tân Phú Richstar Novaland, giá chỉ 1,6 tỷ/căn 2pn, lh: 0908389894', 3, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 1600, 65, 33);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (12, 'Cần bán gấp căn hộ 3pn chỉ 1,99 tỷ nhận nhà liền, hỗ trợ vay 80%, ls 6,4% cố định', 4, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 1990, 92.23, 38);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (13, 'Căn hộ trung tâm quận thủ đức, nhận nhà ở ngay, sổ hồng cuối năm. Lh pkd: 0964606646', 2, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 1250, 79, 40);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (14, 'Chính chủ bán lại căn hộ citisoho block a, b và c giá tốt. Liên hệ 0942000865', 3, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 1080, -1, 45);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (15, 'Sài gòn panorama - chỉ 17 triệu/tháng bạn đã sở hữu căn hộ liền kề phú mỹ hưng', 4, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 1700, 55.3, 48);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (16, 'Bán căn hộ cao cấp duy nhất tại tây bắc sài gòn, ngay cạnh trường chinh - cộng hòa. Giá chỉ 19tr/m2', 2, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 931, 49, 51);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (17, '20 snb căn hộ sắp nhận nhà 1/2018, giáp tân phú, chỉ 900tr/căn, góp 8tr/tháng. Lh: 0935358383', 3, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 1200, 63, 54);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (18, 'Cần bán shophouse - biệt thự xây sẵn mặt tiền song hành - an phú - quận 2. Lh: 0969949999', 4, 1, 3, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 5000, 140, 57);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (19, 'Chính chủ bán nhà 1 trệt 1 lầu giá từ 450 triệu đến 720 triệu', 2, 1, 2, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 680, 40, 59);
insert into estate (AddressID, Name, OwnerID, StatusID, EstateTypeID, PostTime, EditTime, Price, Area, PhotoID)
values (20, 'Kẹt tiền bán gấp căn hộ masteri thảo điền, cam kết giá thật lh: 0933859311', 3, 1, 1, '2017-05-06 05:06:07', '2017-05-06 05:06:07', 2400, 60, 63);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(11, 2, 2, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(12, 2, 3, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(13, 2, 2, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(14, -1, -1, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(15, 2, 1, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(16, -1, -1, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(17, -1, -1, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(18, 4, 4, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 5);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(19, 2, 2, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 2);
insert into estate_detail(EstateID, Bathroom, Bedroom, Cond, Description, Floor)
values(20, 2, 2, '', 'Công viên, hồ bơi, nhà trẻ, khu vui chơi trẻ em, gym, yoga, café, nhà hàng, phòng sinh\nhoạt cộng đồng giúp thỏa mãn nhu cầu sống hiện đại của bạn và gia đình.\n+ NỘI THẤT: Sàn gỗ phòng ngủ, tủ bếp trên dưới, thiết bị vệ sinh Toto, cửa lõi thép chống cháy, thẻ từ an ninh.\n+ PHÁP LÝ: hoàn chỉnh nhất khu vực, nhận sổ sau 6 tháng bàn giao nhà', 1);
insert into photo (Photo, Description, EstateID)
values 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UUYJ6U4I57UANoqURN3pwhHc0AQ0lWhEgpwVR0FAFQAnpTxG57VapaAKwibvTxCO5qanMdxyBj6UAQiJB708Io6Cn4pcUAMI4H1H86XFKRwPqP507FADcUYp2KMUANop2KMUANopcUUAJVZvvGrVVW+8frQA0UooxTgKAKt4MQn8KtDGBiqt7/AKo/hVlQeKYFlKhijAvJmHUhanQGooc/a5MjjA5oAuqMVRuT/pcNXazro/6XDQBo5rk9QkCXbZ4yTz+VdRmufvLMzTMXHBORg/8A66AMWRgXBTg96icMEI5rcjsxH0A/HmpzCX++2fYCgDLhKQwk43SOOF7j3rUsf9WPqaBbpjByR6VYiQJwowKQE2aTNIWA6nFQtcQr1YUAS9xWja/638KzUYPgqcg1pWv+s/CgDROaQ5pTScUAJS0gpaAP/9BlLSUtAC0UlLQAtLSUtABS0lLQAoopKWgBaWm06gApaSigBaWkpaAClpKKAFooFFADhTqRadQAmKSnUUAJRRS0AJRTqMUAJS0tFABRS0UAFFFLQA2iloxTATFNxSk84pQM0rgMpKm2ilwKLjsV8UoGKlboaQilcLERNNyaeRTSKVwG0nelpMc0DHHrTTTz1pppAC8sAanAHpUC/eFWBTQh1LTadTAWiiloAKKKWgAopcUoFMBMU4ClApQKBCYp2KWigBpH8x/OlxSn+opaYDcUU6koASkp1JSASkxTqKAG1Vb7x+tXKqt94/WgBuKWkooAq3v+pP4VaVuBVS8/1J/CnLPH0zTA0kbNUYriL7a0e4ZPAGfTNTLKqqWJ6DNYMEcURS9LDPmHI9jQB1O/nFZ90f8AS4atZDDcOnrVC4P+lw0AaWaikTeQelV7iSUOiRnbuzk4z2pvkzN1dz9MCgCbyR3NNIhX7zAfU1D9lB+8Cfqxpr20Ua7iAKAJtyFC0ZB9xXNzXtwG2lifxrXsziJ19zWFcpja3qP60AS20++YCXkE963J4US3cqAOOwrmYQfNAxnJrpmffZPnqBg0gG2h/dp9K27T/WfhWFaf6tK3bT/WH6UAaVIaWkNADaWjml5oA//RZRSU6gApaSloAWiiigBaKKWgAoopaACloooAKWkpaACnU2loAWikpaAClpKWgB60/FJGMg1JigCOinYpMUAJQOuKKB1FAD9powadg0YNACYNGDS80ZIoATFGKeGJOMVNsPc0m7DSK+KMVZ8te9Hlp6UuYLFbFGKshEx0pdi+lHOOxRI+anDqaubF9KPLQ9RSuFipRmnSKFbAqOmApPB+lITSN0NFAAaYcU6koAZTe9PpDSAU9aaaeetNNACL94VOKhHUVMKaEOpaSlpgLS0UtABSik4pwxTABTsUlOoELS0nNHNADqKSimAH+oopD/UUtABkUZoooASjmlopAJzRS0UAJiqrfeP1q3VR/vH60ANooooAq3n+pP4VlsgWQEsMck1qXv8AqT+Fc+0kvlvAqE5PWgDRvSi2wjj6vhufSqZsGWAyu4BH8JzmgwB7f5h84XjJp0MYCNFMwxnPr29s0AXLbVI0s8TH5kG0Ad+OKZDeG8uUYrtCnAqokCIzFW4J7DtV6MFp4yAcA+lMDSkP+kRfj/Kr3X3qhJ/x8xfj/Krx6+tACVWuYhKgU+tPeZV3jIyo/wDr1GJkaNSSMkAkUAUbU/K/1as2ZUeBMgkjIAHvWlZ4ZW9CxoNrEpwAcfWgDMRZ0QhFAH+0RmplmlMDec6gkY2jqfqavCCMdFFPCKOgFIBlr/q0+grctP8AWfhWSo5Fa1p/rfwoA0qbxTqQ0ANpaOKKAP/SjpaSloAWlptLQAtLSUUALS0UUALRSUtAC0tJRQAtLSUUALS0lFAC06m0tABTqbS0ATxdDUuKii6GpaYDcUhFPpKAI8UDqKfikA5FAEgpaXFKBxQAlLgUtL2oAFAzUtRipKzkUgoopKkYDpRSDpTqQBSjpRSjpTApT/6z8Khqaf8A1lQZqxAehopCeDRQAUlFJQAUhpaSkA89aaaeetNIoEIOoqUZpmORUgpoBeaXBop1MBMU4AUCloAXFLRS0xBTqSigBaKKKAFpaSigBD/UUtIaKAFoopKAFoopKAFooooAKqP941bqo/3j9aAG0UVFM5jiZ16gZoAJUWRdjdDVb7LCO2fxp7iRYxLLLgY7AVTLyscgvj/9VAFoQQj+EU8RoOgH5VXgEMzbHLh/Qn/9VS2QzG2ecMRQBKAKeo5FSYFLgCgCrOxSaNgMkZ4H0phvXyVkXb9KZfDJUFtnB59OKxgLbzMKXmYntwPzNMC5NKjsSGwPzNVPMckiIE9vb160O5YlNqxjGeOT+dRhONq85bHNAGzp4/dfjV8gHrVHT+Ij9TV+kA0qKbgVJTTQAgAyK0rT/W/hWcOorRtP9b+FAGlSGlNN+lABRzSUtAH/046Wm5ooAdS02loAWlpKKAHUUlLQAtFJS0ALS0maKAFooozQAtFFAoAcDS02loAWlpBS0ATxd6kqKPvUtMBaKKKACgdRRQOooAlo6UUtACZo7UUUALnFPBB6sPyqPIoqWrjTJsL3ajZH3Y/nVdu1PHQUuULk2yL+8fzpdsXr+tQUUcoXJC0CnljUfnRDoxNVJfvmo+5pWGSSPvbdTKKSmAHoaKQ9Diqxml3bEiZj+VAFmjNIGljAzHkn3psiXR+aJVx7/wD66LCHZoqDy7zqWQfhT0SVTmRgfpRYdy0etNxzTyOaTFAhMdKeKQ9qcKYCilopRQAopaBS0wFooooEFOpKKAFooooAKKKKACikY4Gai872oAnoqDzW7CjzHPQUAT0lQ7pT2P5Un733/KgCxRVYibvmmkkdWA+rCgC3VN/vH600uneRfzoyDyDketAC1Xuv9Q/0qeq91/qH/wB00ANVfPkDN91AAB796uFUztPWoLcbAQfXP509lH2gP/s4/Pn+lAFW7iwhkX7yfMp+naksDuiZvViamuWUoQDyw2j8agsMCJgP7xoAv0lJmkLKOpoAztRBZVUdwR+lZEdrIpBBAIro3kjxyw/OovMiJwGGfrQBkpbEtufnjGAD+vFPW3faFOeDngf/AF61sU7FAFezRo0IcYOTV2mL1p9ABTTS0lAAOorRtP8AW/hWaOorStP9afpQBpHFNyDTqQ0AJxRRS0Af/9SAEetLmq32aT2oNvKBnH607CuWqWq0BODU+aQx+aWmUuaAHZpabRmgB1Lmm5ooAfmjNNpaAFpabRQA6lpuadQAtKKbS5oAdmlFNpRQBYi71LUMXQ1NTAWiiigAoH3hRQPvCgCYUtJRQAGk7UtIelABSE0vWkwaXMgGt2p4+6KYR0p38IoTuAtLSUUwKsv3zUXc1LL981WeRkbARm9xj+pqRktFUpbww4DxMM9ORSRXrTSCOOPk+rYosBoRqWYY9alZgsrBevc02D7QSQyqB7En+lIysJiT3p2AkXac7qaGKnIoKMBk07Z8me9AgIDjK9fSoW7fWpkVgQTTHVmbPvSGOIoxU4jORUgixzRYRBtHyjHWnhRnpVxEAAzU21fSgDN2Ejgdu1OEbHB2mtDavpUbrjpTAreU2Pu9qQQyelWuQKMn1p2FcreRJ6U7yJPapdx9aTcfWiwXGfZ39RS/Zz3YU7caM0WC4n2cd2pfIX+9RmkzTsFx3kxjqaPKipuaM0rBcf5cX1oKxdAAPpTM0ZosFwKJ2JqNlUdWb86eTTDTsK5Wfyx6/iM/1quSP4f/AEEVbKbjipo4EA55pgZLGT/IqFnYc1vtFGR0rPnthjK800IzDIx9aup90Z9KbHbFjzUrAKxUdqUhoSq9z/qX+lWKaagoom7BChQQyjGRz+YqvLNOzZRc+4BrVptAGIy3MnLKc/StKyRkiIcYOasYpw6UAVoYo5C7OMneetTGG3UgFF59RUUUqwxyO3QO1Yc91LPJ5hONp+UelAHR+TD90KoOOwFYvlGOVcuW+bGD9a2rZ/NiWRupFZUxH2kKOz/1oA1NtOC0CloAMUUUUAFJRSUAA61pWn+t/Cs0dRWjaf638KANPim/jSmk+tAC0fjSUtAH/9VoNKzfKfpUOaRm+U/StTIggPBqfNVYT1qxmszQeDTgaizS5wKBklLmmA96ijfe7kdAcCkBZzRmmZpaAH5opmaUUAPopuaXNADqdTKWgB9FN5paAHiikFLQBYi71NUEPQ1PTAKWkpaACgfeFFJ/EKAJxRigUcUAGKSg9KjchRkgY9algRvdRwttfI98cfnUYu8upwSG6evvVaaS3lbY5xkYBxmsyGRrZwxBIU4yOlc7jcZvG8VnEagk+1T7gMBiAfSsuBkJaZTtUkkk8flV+PyXG5Duz6//AF6cNGBPRRRXSIqyffNRscKzegzUkn3zUb8ow9j/ACqUMwzqJkXe0QODxnmpmvY44UkhC726jnisZXIQx9s5pFJPFUI7LTpDPD5rjBz2qdsluPWqOkti1HuTVt3JmKgdKALHc9zio/8AllS725+XrTcPt24pAPP3x9KY33D9adlupXmm4fGCuQTSGXlH3fpUgHB+tMGeOO1PGaYiTvTgaZmjNIB+aY56UZqKRsAU0A7PWkyPrUe/rSZqiSQ03NNJ4FNzQBJkHpSZpmaM0xEmaM1Hmk3YoAkzRmo91JvoAlzRmot9G+gLkmaTrUe7NG70oC5MPaplqBTUoNIY81AwqXNRsaYDAM9Kov8AfP1q8OKoyffP1pMaGUHmiipGJijFLSUAJiilpKAMWdjsdPVj/OqMSqWwT2rSNqZ2ds4AYj9azQiIzAHvtpgdFaALEqjsKzJh/phP+3USXcMOJUVjn34/zmm+cJroNjBJU0Ab4opBS0gCiikoAWkopKAAdRWlaf638KzR1FaVp/rfwoA06Q0HpSAkj0oAXmjmiloA/9amTxVGaVgcCrZ6VnT9a0ZCLcJ61YzVSE9frU+eagsWRyi5Hrio7psQn3pLgEIp7FhRdYaIfUUgEgk22xb+7mnWfEWfU1TDAW5Qd2q3an9yPrQIuZpc1HmjNMZJuo3VHmjNAEm41SkkcMwDEc+tWapSfeb60mNCebJkfMfzqHzZP7zfmaXuKiHU0kDJfNl/vt+Zo82X++35mo/pSHqMVQiXzZf77fmav2EkjyMGYkY7ms2r2nf61v8Ad/rSA6CHoamqCHoampgOopKWgApB94UtIPvCgCwKKQUYFAAelUrmDzk2vuxnPB/pV3AqrdPOkeYBlvTFJq4GJcQBVzG/Pp24qm8zMCpbP9KuzwX7jMq7jjPGOKpmCVR05bsaytbcDUiXyIEMpHPKr7e4rRjVWwxAJ6gqMYrFEF1MxZwRWraJJFhZEPzdGH/6hSUdQuX6KWitgKkn3zTSMgj1FPkHzE1VluoYH2yHBIz0NCGILS3/AOeKf5/CpBaW/wDzxj/L/wCtUH9o2nd/0NPGo2nTf+hpiLsKJFwFAGeg6UNLidgBVVL+0d1VX5JAHBqVv+PhvpQBMZWpDI/rUdGaQDt7HvTWZsjmkzSHqKTGaak4FSZqNegp1AiXNGTTM0ZoAfuNRSMQBSk1DKeB9aaBibs0ZqLNMhnSZN6jvjrVEFkngU3NNJ4FNzTBkmaAaiLY5NOGScCmBJmmE80/y5PSmMjryw4oQrCZpM1aEadxUgijP8Ipcw+Uo5ozU8yIhG0YqIAUxCZpAc81IVGDgVEM9KAIGu5FkcADZHjce/NaStkA+tZrwFXaLaSJslj6Y9KtxPGR5aNkpgGkUWCaaTTc0lAh2aov98/WrnNUn+8frSY0JRSUVJQUUUlABSGikoAz1maMsqjOXOeM1WC4k3gdTnp/9etNooyclQfwpvlRf3R+VAGZ5CGPyiSAO+3/AOvUCQ+XcKRnGRyRitnyov7o/KlEcYOQooAnopKKAFopKM0ALSUlGaAFHUVpWn+t/CswdRWlaHEv4UAahNB6UzrQUFADxRUXlIfX86PJT3/OgD//16B6VnT9avluKz5jk1bZKRPCetTZqvEetS5qShbhv3aD/aqKfezYJ+WkuG+6Pc0+bjGe4FIRTYYrQt+IR9az36itKBH8kHHXpQMlzRmkOR1pKYDs0ZptFADs1Sk+831q5mqUn3m+tSxoj7iox3+tSHtUY70IGLS5p8SB2O7ooyamAiY7SuAehFUIrVf0/wD1rf7tUCNrFT2q9p/+sb6UgN+HoamqCHoampgLS0lAIoAWkH3hS4BpQoyDmlcCUUtICPWlyMcGi4BSUuaOaYDayJsfaMe1bNYMj5uWPpUsEayetWR90VWiOYwae4kADxjPY/lx+tPoBNTT0qW3G8bjxj0qrcFlR8c7RSbGkBCNxUJypIHNU0lCjIHXHXtQJXbKMPas1URUo2I721e727cjbnrUdpYPbziVjkDPGKr3VukMBlRmB7c020tLm5hEwmK5PTmtFJPVEHQKfnyRxkY4pjj/AEhj7UWsTQxhJG3kHrTnQmUuDwadwGmkoYFe9NzQMXNJn5hSU8RvkHHFIDSHQUtRCUYxijzR6UCJs0ZqEyKOvFHmr6/pTAlJqGU8D60vmL/e/Q01mRhgt+lAiKoLSA20PlE55J/OrWI/73+fypQsZ/iqrisJkY5pGGDUnlqf4hTxEpIO4UXCxWIBGKchwwPvU/2dT/GKcIcccGncViwCAM1DNIpQgGjyj6CmGF+yj86kosAVIKiUSY+YVA17AhKs2CKBi3PBFQLUclzDI2S6j0ponh/56L+dWiHuW+1RNKtuBgZdvXtTPtEO3O9fzFZslzGQSWBOaljSLd87bD5TZbHBHajS7Ka3gZpurnNMjlhKhsjPWtJ7pWACnigYhNScKMd6rg7ulOwfSqJJwQ5w3HHas5+HI96t/MO1U3PzH61LGhtFFJUlBRRSUAFFJRQA00lKaTFACUUjOicuwH1qL7Tb/wB8UAWKM1B9og/vijz4f74/OgCajNRedF/eH50ean94fnQBLmkzUfmJ6ijcD0NAEgPIq7FL5TbsZrO3c8Upnf0FMDa+2/7P60fbR/drE+0N/do+0n+7+tAG4L4D+Gl+3L/dNYX2n2o+0j0oA//QxC1VZDk1NUD9aALKd6fmok70/NMCOc/MKWU5jU1HMfnH0oY5RRSEREnOa3bds26ex/xrCPWti0ObYf71AA5+am5pCckmkzTGOzRmm5ooAfmqkn3m+tWs1Uk+831pMaI/Sm9Cad3FNznNJAySGQRvlhkEYNTlrdfmDFsdBiqlFUICSSWPU1f0/wD1rfSqFX7D/WN9KQGzGxEgHrVus8nDK3vWhQhhVZpWViPerFUpOHNDBEvnt6Uv2k+lVc0ZqQLn2k+lKLknoKpZpVOKALH2t/UflThcyH+JaX7EhGQxFNNj6P8ApRZlXQ8TSH+Nar+REXLlhz7/AP1qp3B+zymI84AOfrUImHvUu49DZLOgCxFSPc//AFqJC8iAGTaf9msfzl9SKXzx/epWY9DRR5QMOTkd1qdJE8sxkn6kH+tZQuP9ql+0H+9U8o7lryYFHy7vwpjlmk3YbH0/+vU/mRY+8PzpPNiHRl/OjlBsrTxi4QI29QPTH9at2xSGFYuTt74A/wAajNxAOrirIVsZ21SutCdB3mrTtymmbSO1NZiELYxxT1FoOQpMgY5FP8uP3qKEYiUe1S5qkSLsi9DUoaLH3c/jUGaWmA4kHpRSUtSMZIcLxVfc3rUsxwMe/wDSq+aAJN7etJvb1puaM0AP3tS72qOloAlEjU4SNUIpwouBOJW9KcJT6VCKcKdxE3mn0pfO9jUNHancCfzvrR5w96gpKLgTGYe9NMq1EaYaLhYlMqf5FRkwHkhfxFRmmEUrgSEQH+FPyFJttz/Cn5CoiKbincLE3l2/9xPyFL5cHZVqviii4WHSyW0TBTGpJp4uIcYzt9sVmXAG5SehFPiYghTyKYWNQSxnow/Ol3L6iq4VPSgxL6CgLE5dPUU3zI/7w/OofJUjoKcYEA5FAWH+bF/eH51G1zEO+fpQbdAeBSPagAY6mgLERvB/CpP14qB78qRlQOeafNC0QJPOB2rGc5bFAFyV/OkLn8KZtFNBp+aAE20uBRmjNAC4opM0maAHYFGBTc0ZoAcMelL06Ug5PNWN0ONuzn1zzQBEGI707ee9G2P3pdsRPU0AIZgo6Uz7Uvofzp7RRMMByPwqH7Kn/PT9P/r0BY//0cCq79anqB+tIZOvenUxe9OqhEM336D9wfWmy/fNO/hA96QiM1p2jjyCvfdWYetXLboaAJ6KSimMXNKKbSigB1VZPvH61Zqq/wB4/WkNDD2pgPWnelNPWkDLKIiKHkGSegp29CcFRinTDEntUTHcKoQksYUB0+6f0NWbD/WN9KhbiA59RipdP/1jfSkBpuRitFDlQfUVmSjoavW7ZiHtxSW4+hNVKb75q7WZeOUkHPUU2CDNFV90lJ5jipHYs0o7j2qr5z+lKszZAxSCx0ER3RKfapap2siCEb2AI9anM8A6yL+dWmSVriwjuJDKWIJGOPaqjaT/AHZPzH/161FuIGYIrgk9hUpp2C5hPpcq9HBph0u5HI2n8a3pOgp4PApWC5zD6fdopJTIA7EVCbS55+RvyrqpCFjJPAxTFliPRh+dKw7nJtDKvVSPwqMjHXiuuOCcgijbnriiwXMbS4o5FfeM4IrcNRoyFygIyOtTEc4FK4iM81UuDthI/Cp5SYSZWJIx0H1pk0LPGjjoWyfpU3GmKBtAHpRTmQhcEclsflzmq7SlTginzAT0tVvNcjIWkErlgDxzRdDsW6WminUAVZz82Khp8p+aohQMfRTc0ZoEOpabmlzQA8U4UwU8UAPFOpopaAFpc0lFMBaQ0UUANNITS0hpANNMNPNJsY8gUARk02pRC57Y+tWVt4QPnyT7UwKFJWt9ihZMqSKqvZsoJVgRQBkXHKrVfeYwCOtXLmJkjUt64rPlzkAdaYFtbo4+bFSfax2rPET9en1NSiIgZoAuSXgTDYGKEvw5GV4xVOTGzBOKh3AHgYHagDZS7UnJWpPtsaku4PFY4YsMg0SZ2/Ln8KANCe/hkgdE+89YBIDEmpU+YsSegqq5ycUxE/nDPHSnxSbm+YcCqYHenhiBgd+9AGgZkAOMAfrVczyH7vHpSqsYjwzZPYelRswBx1xQMSSWXuxzUaFi2BSOcnIpUO0ZoEXM0uarB6nj+bntQBKo9aeDmmYo5oAUnHApMkdKKSgY7JpcU0A07FAj/9Ln6gfrUtMKgmgB696dTR3p1MRBJ980vYUSj5j9KUj5QfekA1u1WLbqagYfKp+tS255IoGWaKTNJkUwHUCkooAfVV/vH61ZFVn+8aQ0M9KQjk0elKetIGWo5UdQkpwR0P8AjUpEIGS4/Dms+jiqESyyByAvCjpVmx/1jfSqVXbH/WN9KQGjJ0qzZkFWBPQ1UkxnnPSolkK5IJH0qXuV0NzA9ay9QXBVs1V86Q9Wb9aZIWP3s+2aGwSJweKUVVSQYxUocetAiU0xuOaTeKazDFAy0tsbnowXb6+9SrpR7yfkP/r0lqyhyGOAR3q4XgH8Q/ChA0Uvs4tbuJc7g3tW0AB0FZjSW5IOSSOlMN3/AHC1NMVjUk6CjcqAFjisg3kp71clcvAhHJPJpp3FawXc8ZgYKcnj+dY/kb0VtwBwOKsXGRGSR3FOETbQAOgFFgKotJyNyfzprC5gYbyQD71oxzRxDY5wQacfLuJEO7G0545zUsaFtoiXcNneRwR1rSjgAYfNkqe/61F5EhuBKDjHAHt1qVCfN2txz37msfIQXKELyQQemR3Jp9uxkiAYYK8Gp5UR1wwyR0NRQR4B3HOec02tdBCjY0Zc4OB+lUbZDcQ7mBzk1oyLtjKIQv1qraB48oQcdf8AP86NhjZlAhKj+EVVjRSwL8FQM/596v8Akkghz9/qKsiNQpyM+tKKYjP3we9IZIu2azpHdHKZ6HHSo/NcMCTxnmtNTTQlk+/UYp0h+aoweKEDHZozTc0ZpiHHJGBxQBJ2NJmng0AA84ehpQ0w/hBpwNPBoAZ5kg6xn8KXz8dVYVKDTqAIftCd8il8+I96l4pCqEdBTAQSxn+IUu5T0IppijPVRTTbxHtQBLmkNQG2TsSKTyCOjGgB0r+Whf0rHN3O/PmEfSrd1uRNpYmsgU0I0obuQSKJXJXPNdIIwoG3k+priq7C3Ym3jP8Asj+VAD0LKNh7fyqdf9UX7r1HtVZiQ4PsaI3IVgejDFIDP1Ndiqw6E8Gsbf8AvD2HTIrpJ3T7K6yjIAyK5tVQr8x5pjLamAgBcj60jYGcGmIiYyFpp6FeelAFXHVjyalUtjPT3qLny8j1qxEN8W09BQIZuAGB3pkvEeT1pfLcHI+Yd8U2UnZgDigCFTiMk1VPJyaldsIFHeowM8UxC7DgH1p6Jk/Nx71ZhgUjL81LIiqOOhpjsUzkMQenrUTEZ46VOx/SoGI7UgYzOaKKKBDwCTitGMBVqtAmfmNWhnNAx3vTWx2pSe5pmaAHA0AZ5pp44p6nAoAeACcVJxUYzil5oA//0+e3KOlIX9Kk22g/iY/QUv8Aovo5/KgCDdRuNSSCM48pWH1OaaI3PQUANYBsHNP25XqOKeLaZv4TUospe/FAFViuABT4toOT6VbFkf4mAqQWaDkt+VFwsZzck46UmK1RawDqSaeLeAdFz9aQGSMjoaeGb61sLCn8MY/KphE/ZAPwouBjDef4TUEgIY7hiukEU30rBvVdJ2EhyaYyp6Up60npQetIB6IznCipfIPZlz9akcbAI17dfrURGOQaoREyshwwwauWP+sb6VFJ80WT1U1JY/fb6UgL8uevaoUVmztFWJjiE+5q3ZR/uQx780upXQz/ACZPSo5chsHsK6ERiucmOXc+9EgiEFsZRvHrSz25hTfnvitmzi2wLn0zUWpJi2z/ALQp20EULezM8RkDYwarrEzRebnvjFbmlrm1+rGspBiBl/2z/IUmMXcFHNW1tJT1wKoOcso9WrpMUkrhJmPNA0KqxOcsB+dWls4x1JNPvx/o5b0IP61bqrIV2Zd3AkcO5Bggir1thoVz6VHejNs/sM1JZf6hT7UdRdCvqIAtx7sKnUDnjvUWo8pGvq/9DUyHr9aYMyHiaW5cKQOT19qntoGiuAzHoMjFEA3TyN7n+dLdO8e1kYrk4JHpUW6lNm4sgOcEEgd/8aYrpwr9jnNVI2wuFxgjvSvMuwktwvX3+lQxGk7KwBx+NJHtT5QenYVhW9/EY/mwuCeSKluL+XctvEygnqxo6iNncgbaeSw479KVduSAcjrzVQ3G0qOGyepPY80STAKFU7S/CkdKBl0AHOMn/wCvQ77cDPPbPesx7g25Z3ZSWOVDcfUCqn283KtG6469P89aEwIrkbZ3B9arPgqcUDe43k5J9aCp9KsZM5BAb1qMdKQcxD1BxTR0pIbH0UzNOBoEPp4qMHmng0wJBTxUYp4NICQU4UwGnCgB1IelFHagBaKSimAUlFJSAzb48/hWQK1Lw5fH4VliqELXX2n/AB6xf7orka6+0x9li/3RQAsnUGo3+UBT1NTvgEdz2FVSrFyzcmkBn6pNsiEQ6v8AyFYufkyOuanvvNlvGUAnHAA9KUWN2E3mJgO+aYERZhGrg9DzVhXUfMelVN3ysh6HpRGHf5EBYnpjrQBICAWQnjqDT4m2HrweoqAgrwwwe4NGcCgC4Qr84x9KqSuRxmnpIDwarTEdBzQBCTk5pVYjpTKUHHNMRdScKoHtSmQsfpVEmlBNMCZ3zz3qAnPNBzSUgCpEXc2BUdW4gFXPc0AWF+UYFOzUe6kznmgZITxSDFMpR1oAkAJ5qULmogR0qYHA9KAEY84pOfWlzk5pM0Af/9TNEEI6kmniOEdFz9a0xBEO351IFUdAKAM1U/up+lTCOU9Bir1LRYCmIJT1OKeLY92qzS0WAgFsncmniGMdqkpaAGCNB0UU8ADoKKKAHUUlLQAVzmp/8fR+gro65vU/+Po/QUAZ/cUrdab3FOPWkhl18OPMHRv51HsJqBHeM/KfwqTz5McYHuKoQs3yJ5fc8mpLLiRvpVQ8nJq3Z/6xvpSAuznKhR61uQqEiVfQYrF275kX3rYyMUIbJmYBSfauXI3HH95q6A4xWOg33IH+0T+VDBG4roqgA8CqeoSI9sQDzkVKaq3YBt2oYkWNPlVLVQeuT/Osw4/ec/x8D61etVAt1qhIMSOP9oUmMhzmZPr/AFrot9c3/wAtF/z3rSDY6URCRauzutnHtU4fIBzWZIzGMgdx3qysc7KNvPHaqJJpzuhceqmm2MgEAB9KjaG5wQagtFcwgj6UDLV0wZ4wO24/pUqN1+tUpgQQx7A/ypoc8kHvQAtqcF2Pc0y+YGNf96q6FgvBxUU7HaM+tT0GbIcBQM9qyrq4ljLIrcZz+HTFLms6QSySEYzihiHhlBKE/KWU/wCNJJKNsbDqOo+lU+aMHOcUrAW2uN7tJ0zUizI4UEkY4IP4VTxg+tN6ZxSsI02nmuVSJ2yF6fhU9vxKB61lwxzu+Iwc/wAq0IleN1LnNDRUSyrbRgin+Yv0pGGGI96UKTVAIhGWA6ZzUgANRbcNj+8P5U4RHtkUIbHlV9KbsWl8uTsTShZR6GnYkPLFLtIp43Dqv5UvHcEUWAaM04U4BfWnhSenNFh3GA06nbT6UY9RSsFxKD0pdopduaLANo5pSuKTmlYBM0maXNRyOEQsewosBmt+9uCewNZoBLYAyc9K14EITcep5qXSYlKvORzuwKYFaHS7iQZfCD36/lW7aW5gTYXLAdM1Lml6DFAAUGcilCA0bqXdigBwRF5A59ajkhEowzHHoDin5oBz0oArJY2sYwsan6jP86q/2VCknmxkqc5wOlavWkHJoApT2iXEO2QDdjAbuPSuNmWWKRopOqnFd+xABJ4Ari7pvtFw8oHDHj+VAGfuYGldmfGam8ukKUwsVsGip9tIVoEQ0vSpNtIVoAjoNPwRSYoAaOTVwHjFVgMGn7qAJs0uahzRmgZNnmng96gBpwagCdSCakye9QqRUoIAyxoAQkjpTdxpWxjrxUXHqKAP/9WzRSUtMBaKKKAFooooAWlpKKQC0tJmjNADqKSigBa5rVP+Po/QV0tc1qn/AB9H6CgDO7innrTKcetIYtFJS1Qgq3Z/fP0qpVq0OGP0pAacXEoY9hV0yiqMZGan4pgSNLwcVn25/ebvb+dWZCBGx9qggXC5pdRlzfUUzZjINLUcnTFAiWA/uwKpzcTNVqLgVVm5kpPYaGFcTRj2FagVapMB5qn0q5TQmNkAxipVxjiomqQdKYh+4+tV7U4Rl9GNS496igGC4/2qBizcj8KgyApzU02MEE9qqHIBApAKhjCAMCfoaRpLUdVY/Xn/AAoMTYHIqJoM9TSGWxPaEcr+n/16ila2K5gBz3pggQDlvzpyxJ0U8njj60CMtULbyP4ck1GQfLEmeCcflUoiZncA42gk/h1qLjYBnuaBB84GccdM0/ZL5RlK/LnG6lIPkL7sf6VszQBNJjRmAJJOKAE01C0OTyXOP0xVqeyeOIuP4eas20Kx2EJ7gZ/OkJZ1KMxwaY0NjtzKgcDNP+yMP4angXy4wFYgVPl/7xoQ2UDbdMqeKXyyO1aGZPX9KXc/tQIztlLsrQ3t3UU0uO6CgCltFG2rmYz1Wmny+wpgVdg9KTyxVg47CkoAg2EdCRS4cd6mooAi+buAaTIHUVNScUAQkqfUUmAehqY4qMqDQAzYao3WSyxfiavlKqFf3hY80mNET4VMCn6S2YHHo/8AQVBO3ymk0hvmkT6GkBu96U03vTqQCZozxTT0oHpQMU04natJjJphO58elAiQFh1pwIpuaQHimBn6rc+VEIh1fr9BXPbgepq9rL5uEX0X+dZgoAlwD0puKZS5PrQAu2k204N6ilBU9aAIyKbtqxtWnbV9KVx2Ku2m7avBF9KPLU9qLjsUdtJtrQ8kHoKiaLHSi4rFPbSYNWtlNKUxFfJpwNPKUwqaYEobNSDI68iq2CKlWUqMEUAIwx06VHmlZyaZn2oEf//WsUtJRimAtLSYNLg0AFLQBS4oASlpcCjAoASlpeKOKQCUtLRQAVzOqf8AH0foK6bNczqh/wBLP0FAGfTu9Mp/ekMKKKKoQVatfvH6VVq1a/eP0pAXlODmrAJqrg96sKRimA6T5kINMj+7innGKjXikMkqNs0/NNPNAhydKgcEzAVOtOSLc248CgZEf9YKtnKrubgU8BQflGKGwRhlz9aBFUzrnpS+ee3SonUZ+XAFMHvRcRcEufu88fSpISzqSwxzVZk2YYdCODU0DccZIpXAssM9agaJCDxU2aTNUMrEYHSoT0I71M55xUJDZyp/A0gM8pKFwwJ/WpIUCOjE/eOKnYSnBUflQjneFlAHuaAKU4SKdwDyc5/Gq6RlpPLHU+tbVzaxzEzq2CR+H4077KjFZcYKgcjoaQjJDeUPKIyynr6Z9Kv3U26CGJgQVX9aV7TMrO3KEDketTmCOWZZWPC9R6+lAGmH32cb9AVGKhA9KeSSihQSB2H9OlTr5B4KSD/PtVDQqcACpaG+yMu10ce5DVF9liPMcpX67v8AGkBPTsVX+zTj7swP1P8A+ujybwfxAj6j/AUAWKY1RlLlRksPxH/1xUBkue2w/nTAt4oxxVUTz/xIv5n/AAp4mlx/q8/Q/wD6qBEm0UmzPSlV2YZI2+xp3J60xEZUimZIqYrjrSYosFyLNGaGXAyKjzSKH5zTaZmjdQA4iqj9TU5NQv3NJjRm3bbI6j0psXOP7yn/ABqveSb32CiybZcI3vSA6oHnFSGq2cSH3qcHNIYh6gU5RTe+aetAAeATUUfJLU6U4GKEGEHvQA49KaOlK/AxTWYIhc9hmgRyWoyeZeueynH5VXBqJmLOXPUnNSL0pgPooooAWkpaSgYZI6cVNES7bT071DSZI6UCNPfbL8oY5Htn+tIZoB0J/L/69ZuaUN+NKw7mh9oi/wBo/wCfrUbTo3QGquaPeiwXJt4PakyD2qMc08HFMQFc03ZUw6U/aKAKnl03y6vbabsoApFKTZV0pSbKAP/XsZpc0ylpgOzS7qZRQA/dRmm0UAOzRmmM6qMsQPrVZ761Tq4P05oAuZNLk1kPq0Q+4pP14qq+qztwiqv60AdDzSkgDJOBXKNe3b9XI+nFV2LucuSfrQB1j3Vsn3pB+dc7fzRzXBeI5GBzVPFLikAgqQ9aZgincnmgAp3ybO+7P4YpuDShc0AFW7T75+lQBCTxWjAhxgDBoAlPIqRRThEe9TrEtMCAjim7T2FXdgFJgUgKuxqaU9TVzAphUUAQBRVpWUgEdKZtFRlWicmPoeoNNITdizmmspIypANMWZTwwwfep8A0NCUkzPkRzw3embBg/Wrzh/4Bn3qOO3ckcdfWpGIm/wAsJ1A7Gp1UBQASPalFvKHJ6A1O1u5wS1StxkNNNWfJHcmlEaDtn61YjNf71N2sScCtFkUOCOKeaVxmaIpD0FOEUh4OB9avAYJ+tGDnINFwK8cJVWDEKCOooKNt2BhgfUVKxBOKarEnIy1ArEQhnPQA/Qn/AAqdITkFhWmlzGi7djqB7Z/lmpBdwnjJGfVSP6UxlMK4HyLmnwySHIKhT7nNWjcQdCw/Gk8y2cY3IfxpgIjBsbwSQOuOP60pQMOgJ96m+UjHGKML6UgMxrMStlc9eRkjFaccMaLgClyO1KCKAF2Ie1VprSzbLSxqffFTvKqLuNZM12ZGIXkjtQBA1rbLIDHEAM1ZBZuBTEjeQg4JbFXoYCnzNnP8qAGpCQPm60pQ9qs5I7/nTGdEG6TAHrmmKxWKsKSoJ9WsIeA+4+i81Qa/vbri2j8tf7zdfyp3EW7mVYkJ6k9BWcJyAckfqP51IsEqfMxLN3JqNw5OdxHtUtlIaJpM8cinPKw5H8v8arMDn5sn3owVUMF4NAyVbhv4jmnzvhAM/eFRxhXyHK+wA6VI7qAN3QdxSAzUhALE/wAXHP51W2vE+SMc8VoGROT3+tUppvO25GCPyoA6LOfm96mB4qrbndAh9VFTipGSbqmHAqFRuNSO2BimBC/zuBVgjHFRRLkljUjHFCBkbHLYqlqUnl2T46t8o/GrS8tWRrcmFjhH+8aEBztPBIptOFMQ8OO9PBB6UzANG2gCSimZYe9KGB68UALTTTqaaACiiigBw5pwNR1IBwG9aAF+lOFID8ppRmgB4zUy1CKmWgCQUcUoqQA0AR4pNoqYgd6bxQB//9CaisGTVZT/AKtQv15qm91cyffc/hxTA6Z54Y/vsB+NU31O3X7uW+lc/gnrShaANR9VkP8Aq0A+vNVHvbqTq5H04qELTgtICM7mOWJP1o21NtpdtAEQWl21MFpwQnoKAIQtOCVaW3c9qmW0Pc0wKGwUbPSthbRO/NSCBF6CgDFETnoKlW1c9a19i07AoAzFswOpqdbVB2q4BS4oAriFR0FWY4wKQCpUoAkCjvTgBRS0ANIppFPLKODSYc9FP48UAR4oxUvlSHksAPb/ABNOMUZHOW/H/CgCsSBwaURSS8xgkVfjUDkDj2qeHaGYEfxZ/QUrgZ4sZm4YAVKulAjPmEH2rVBBp4ouyXFPcxja6jD/AKpw49D/APXpn2i+i/1sG73A/wAM1vcUU79xcnYwRqcfSSIr/n8Kcmo2EnAZhj2raZEb7wB+tVmsrNusS/liloFpFPzrRuko/HioZLi3Q43/AJc1O+l2R6KR9Ca5a/KW9y0cB3IO+e/ejQPeNtrlDkoN2KiN3ITwAKwUnLK7ZIKjPWnR3S55Zl+nP+FOw7vsbqTSMeQTn0qQPL2X8zWbEXl/1VyPoeDU3k3ucCUH/P0pWDmLuWJJIx9KaByWxg1T8q+H/LQH/P0pPL1A/wAQosHMWxuDfLnketPZ5FdNrHAPP5VTW21F2wGXNSmx1XIUsvP0/wAKLBc0lkfyyzdvWozIG5ZVOfUCqf2HVgMeYAP8+1Rmw1LvJj/P0oC5onYQQUB9hxQCqcKGA7YY1mfYL8j5pj+tL/Z8x+/Mx+n/AOugdzT8wg8O4/4F/jQLsA4aVh9cVQXTo8YaRj9aRNMgIO7LYOKBXZbnvIW4edWA7dKrNqNoowrcewptrp1q8Ikdck56k1dS0tY/uxrn3FA9SiNWjU/uUcn2qZdS1SQfuoMD1b/IrQCIOVGPp0pxGTxjFAWMl21mUYkkEYPpSLpW85uZWk/H/wDXWuqY4549aQqCOSPwouFjOa1t4NoijGf1qwiBRz1+tSbRvwpxgfz/AP1UuG6Mc/SkUV5CB2/I0LGNvzLk1OoQcKOaVg/QDikBVeNAM7T+FVDA7coDg1pGEZyx49KQ7V6DI9jQBjtZv2yagZHXgg1uMrnG0HFJ5AbkqTTA55kJ5INRsuBwK6EWsUhIA6VF/ZsLHGT+FFwCxObZfbirYXJ4psNtHbqVVjgnPNTrtB9aQx25VGFqEksaeyDqvelUYPNAEqDatRSNgVNkbc1Scl32igCWIcZrl9Vl8y8bHRflrqmZYImkboozXCs5di7dSc00JjacKSloAeKdTBThQA6kwKWigBmCOlGexFOpM4BxQAUlJkinZB6UAFTEYRc/WmIoxubp6etPOSdx60AHQY9aUUmDTgKAHqKlWmKKkX0oAlFPHPWmAjPFOGe9MB/04peaacetJk0CP//R5YCnBalEbHoKmWBjTArBaeFq4tv61OtutAGeEJ6VIsLHtWoIQBnHFSBBQBmrbMetTLajvV8IO1O20AVVt0HaphEB0FTYpwFADFjBqVYxT1FSKKBEeyoXXBq4arP1oGQ4oxS004pgLQKjZ0T75xTkSeTmJMD+83H6daQDxSq4zgcn2p8dlkgzvuOOQOBVxIViAEfygdKLgQhGwC3Ge1SBAuM8/WpdoYnd19qXGBgUrgM652/pRwOox709QCMkc1DLOIzkAn+VFxkm09uacFU8jNVhdRvjcMZqGTcOUk49+KAL5kCffOBUaXUO9ju4IFVIpiG2u4ZfelcEN90AdsUAaDSnbvjG76VW+2MD8yEU2HgFCDzVWQFW7jHrzQBoG5Yx5jbaf9qqxu7vICsDn6URnchUFSR61UKqjfMAfoaANNp5/LzJkH1WqolkJOJD+PFRySxkAqSp6YqsLl0ORz9aQGqZZQmGBY1zktqd7FcHcScE4NWGdnYseM1RmldJDycH8RTENaIor7gRx3+vqKpGLjIrTiuWKEEAgDtSZtZeGwD+VMRnwqDKobkZ5rpAyKoCjishrRc/u2z9f8avRyeTGqHBIGKQFkyS4/dpn609fPbqQPpzVM3OOrBfoP8A9dIJWk4RXf8Al/SgDT4UbZGz+lWYbnAJXnaO/wCVZPk3LBSFVME8E/4U3LiQIT3wcUAbv9oeoFA1DP8ACKyRnsKkAPekBsi5B6rS+ch6rVBSeKkFMC3ugPbFRKsR35OOTimAUybhGJ7LQAafGptUJOCQf51f+zrjg4rNtBi2jH+yKnJYHg0BcteR+dIIm6HmohLIO9SLcHjIosO47yiOgo8lsf4VIJ424zUoOBxzSAzhCzO+eQCBUwgftwKnjAKk+pJqbOBQBUNsT6Uz7MV9TV0sOg60oJ7igDOaAng0eUwHGBWlgUhUHrQMzvLJ+9jFKqKvSr2xfSkKJmgCnhRnjrTSv93FW9sfrSMEA+Xk0AUGB/iXP0poVM5HH1qyfM9KYTJ6CkMgbJOQQAKCFx1qbbL64oCN1JzQBVkcgbU5ohjwNx6mre0VBcTLAhPVuwoC5j61c7Yxap1blvpXMYNaEyyyyNJJyxPNReS3pVElPmnBvWrZtnxnFRtA68kUARgg04UwoRRlhQBLRTAwPXin0hhSHpTgpNLsHc0AMxmpFiIOWpw44XinAnoDQAuO9GPWnDJpQpNADcUoGKdsbsM0YYdjQAop4qLNAIoAsA44pScnmoAQOhpwJpiLHXml2j0qAMR2pd/tQB//0qCpipQtPC4p4FMBoWrEcORvfgU9Ywg3yfgKazljyfwoAlEin5SPlprRFeRyPWlLKUwOtCOV46j0oAYBTsVKVBG5OlRZNACgCnYpme9Sxglge2aAFANSgUq7upHNSjj86BEBqs9Sz3SREAZZsfdXk1H5U0jgSHYC2do649zQMpPMiHYPmb0HJqZbeaX/AFh8oeg5P59K01iiiA2AA45PelGM7h1pXGQxW0EIyq8+p5NSjCjLUwS57c1JyQQaQDt4pgyCSRkelA+XOOahecqOFJoAmaaMfeI/Gq0ksTHCNt9xVaWcOcSJinR+Sw5Q/WgB4SY8q+4fWmB2D4ZgPcmohvV90a5GeOakyx4liyPWmBYBMnKOpPpjFRmR1JjbBFQkbSDCq/j1pu9n5lQEeo4oAnZFcYXax9qj3YAR1xjt3qORYgpMQBPXluarlncglDkUAX8qFyqt+FIbneNp3A/nUSoS2MkEVYJIGM5oEVg7I2Vx+VMLc56USOBz2qoZM0riuWvMB60n3vu9fSonRiokUfKakjyBuyBSAicMOvFVHHPPNamQw55qk2Mnvz2pgVFQc444qN4zngZq5tU9KaYz60wKyMyZxwa1YIYnhWSX5ifU8VS2HuKkVVCjNAGgr28Ywu0fQf4UC6UH5VJ/SqQIA4pNxBz/ADoA0GuJSoKgDJ+v+FQ7nMgLdc1p2iCJQXALdfpWm8cVwmGAJ7GgDnw1PDGpZ7OWD5jyvqKrikBcDdAalDVRDYNSCQUwNAGq80paOU9NuVH5f/XpUmTjJqHORKmCd7nH04oC5djXbEi+igfpQ3WnATEcLtHqaPJcnJbP0FABTN61MIvQhv8APpTxHH/Fx9aYrFXDHJxSrK6dDV3y17cUxos+hoAbHOhTaeD71Oj5XDDNUhEMEdMGkaZrfAHOaVho0MDrnFAcZxnIrO88uckc+1WIpQw2HIxSKLYYlsdKcG5wahJYfdI/GlzxyM0CLAIPSlqsCMfLn86duHfNAEpA71GSFBxz7UDZ2p2QBzQBVJY9FzUTKp6gip2RAcg4pmG7GgZGA6naDke9O+f0oIU8NwfWl2ns1AEDl8cAiqrIG5PNaBDjpiq7gg88GmgKbQr1IphhUVO8sKfecVVa9gXpk0xAYwRzUbQA89agkvs8IuKqtdSnvj6UgJ5LZO/AqhJDGp+Ug0M7MeTmmUXAj8pe5pwVV4Ap9FIY3mlxRj2p1ACAUoFApaAFFOFJSigB4NPDVEKdmgCXIPWm7Iz1WkpQe9MQhhQ9MimmAjo1SgnqaM++aAIDFKOmDTdkvpVnJNGDQB//020tGKMUwLbIHjXJxUYhO4rnGO9SH7ifWnEAyMT2FAEflgEZPBqR48uFXjikcgqh6c0/P738KAExtjIBzTfKOcE80g/1R+tSk/vF+lAEQjJBJOOcU4RsG2596GP7tifWoHuGeYw243Nt60APllSBQ7NnJwPWo/KvbrIVvKQdcdT+NWLTStgWa4JdzyQegNa3lkk84qbgZ0FkluMJwT3PJP41K0BYZJ5FaAiUdeTSlAc8daBmeIGxktmmFdi1osADVedS6HBoAoEBuenvTBI2dvWoCxBwTSZ45oAuHdjg81Qb7VnGPypJTK4wG4qkfMB4fp05pgXPNuUGXGR7ikLpLzIxX2FVsyAZLE/jmlDgD5hmgCfbGOknvjvUTTH7rAn0NMLrn5AAR680vmTkY3UANVoSQWDCpQWAIjG9T6n+lQHft5I96gyvYnNAFsKD1iP5mkYKoyCVI7Gqm8E8scUpbIyOfc0AaML7wWPWnthuKzYJNpI7elX1+YZXmkSyJo+eTmojs5x61aaNzyDioliAI3cVNwFQtjYDjnp2qRhgAOuD607ymL5TnParH2W4cYCMKEBVOB1NVZVYtuQZrWGnXPcAfU1ZTTD1kcD6CrA5wBud1PjjeQ7YVLH25roJYdPtcGQGRj2PP6UjamqALbxHHfjAoSuS5paFOLSbqTmTCD361opotuPvsT9OKjTUmb+AH6HmteNyygkYz603FoIyT2KB0iz6bT9cmqk2kKg3wZOOxrfqrcSPAu/GV71JTMuORXz2PvUyyFDVCa6gnJkjyrjvjr9azXvnQOjcA+vUVV0CNy41MqpWFQ5756VjpdGY5CbT7ciqVsjyAkNjHC109nbpHH82Nx5PpQBlE80ZrcntYpv9luxFY0sMkLbXH0NSA3NKjuuSD/FmmU0bic9s0CNWK/ZPvqG9+9aEeoW78E7T71z1LQM6r91KMjB9xSGIj7p/A81zSuyHKHB9qux386cNhh70wNQxsO34r/hTcnoD+fFRx6hC33/lqc3NqV5dSPc0ARq2JGBGOhrO1OVAqAHnNST3tvEwMLAnGODwPSse4uGkbgg+pNFxov28y45arm89jmucSQqcsavJewqMMpJ9qBmskkoOMZHvUyu7Hpx71i/2ki/cQ/iahbUXPO2gDpdq4zjFISF5zXM/2jOPu4FIdSuyMb/0pAdTnPQ0n7wc5rkWvblurmoWlduWJP1oA7Azx9JCB9TVR7+zTkNk+3NcvmkzQB0DatAOiEn34qs+qseUQCsfNJQBoNqNy3G8ge1VXnkfl2J+tQUdaAHFiaZk0pptABzRRRQAlLRRxQAmKXiiigAzRRkUUALS0lFADqWm06gBadTaXNADqX600Uuc9aAHZHegHngU3kHk0o5piHjNJx61FK5RP5VQyfWgD//UbkUuaZmjNMCwsr4AAzinqJslsdagWZkGFxQZpD3oAsssrYzjijZLu3EjNVN7nqTSbj60AXirkYyAKcW2LudlAHc1mvMI0LseBWOXmvpdvRf0FJgaz/ab9jBAwEfU/wD166O2torYcdSMEnrxWDGn2dAluCDnrVtbgoMuD9akZuAZ75FPAA4rIF+pxipRdhxgjHvQBo5HbmkHU5qiblFGT17UpvosmgC7lRnoaYZEGMnJqh9qR+TwP50z7UnRTx2oAdcwpKQRwfas10KHrkVe88ngHNQyfOAP19KLgZ8i574+tVgq55YVptbq681RfT5VOUYU7gM+QdDk04M2OBmmm2IOGYfhSEMnKmmAuZD/AA4qIgk4Y08mY8ik2t1agBg8odzQf9npS7kzgLS5yMbcCgCElvaglmGW5+lBQYy3FCJuOEVmPtQBBkqcirkcm/7p2tU4sZHA6JU8enRLy7Fj+VIQLMwHzj8qerjBcmraxRrwBWIsPmSMJSd2T8p9KXLcRZmuIiV2thge1btpemZMMfmHWsHyYQMMgFPBMDB4+1UlYZ05lJFV3mfoPxpkMqzIHX8aewzz3pSjdWE0ZjQyNKXbGT6mnRWmCSScn0/+vVneB2NKGPUD86IxsZeyVyWHyYPuqM+vf86sfafSqmC3J60z2qjVK2xoC4GOaf5wIwazc4qVXB4osAxrO23l0UDPWqc+lW9wCVYq3rnNaWaayZ5FKwHNwQy2VwIZxgFsg9jXQhs8io3i8xdrjI96gXfCcPyvrTAvF8j5jWbLqMJPkhfMHqaZfSkRBFON3XFZKREHjpQBalkZDkDA96i89u1SSjdbup544qlbadqUpHloQP8Aa6frSGWPOek86T1qIq6Eo/UHBopDJPNf1NJvb1plFADtxpM0lFMBc0UlFAC0UlFAC0UlFABRRRQAUlLSUAFJRRQAUlFFIAoopKADPal4+lJSUAKQabS9KXI70AJSc07GelJQAUlFLigBKWiloASnCm0tAC5paSloAdS03NO7UwAZpcGkzijr1oAM807NA68UyRtibqBFaZyzY9OKipoJJowaAP/VhozSU2mA7NGTSUUALk0ZxyaKq3hItzj1FAFC6uDO+1fujpWparFbpjq3c1mWQDXCgjNbEPLsT1qWMsCQMMgGhi7JhR1607+LFOpARbljwCMe9OE2egJxTZBlgD0qTp0oAa29sDop6+tSBUUAnikqKUnp70AWldOoP507MT8D5frVSEAyc81aCruHAoAnWOIDPX1qQYAwKzpPlIAppJ6e1AF53hA5xnFZcu5lxuJ9aaxPAzTMnFCAhEUuSF+tOS2lc/O3SpHJCnFVtzdM0wLhg2nKHIqVLF3BJ6VWgJ87FakLMsLEHGDSGMGlIRnJFRvbQKSFJFWGkkI6nnrUFMRALdBy3zfWrAwowBge1FJ6UwHFsDLHA96h+0FyVhUufbp+dRWai5lPn/Njpmt6NVAwABx24pAZDQX7ru+Vc9h1qOEMqnzOWz1NbpAwPpWKe1NCY4gGo2iGMCpBQaYiGF3tpPVT1raVgyhh0NY0n3CauWJO1h2FAFtxnkVCSAMnNWaqzcA4oGIsik4GQetPyHFRJy7Z7dKtBVUcDFAEOGPSms8UX32x7DrWdNNK02wscenSqU7tGcIcUCNh73A+RcD1biqUl856ufovFZQkfd1qzk0APa6J6An6k05ZpT0DD8agZmA4NR73PegC8GLsokHA9eKnAiAyuT9P8apo7RjcnBq5ZotxNib5vqaVxl6za3iJdvmY8ADkD8a1Lmd4gAmMmlSKOPiNQPpVS8+8v0pXApTKJzmUZNZstmy/NHyPTvWnRQM585BwaK0L1VG1gOTWeaACiiimAUUlLQAUUlFAC0lLRQAlFFFABRRRQAlJS0lABRRRQAlFFFIBKKU0lABiiiigBKXPY0lL2oAKDmkpwJoAbS0ppKAFpaTvS0AFLSUUALS80lFMBwFHakyc0d6BDgcVBcHdgdqm/hzUE3Q0AV1ADU/cKhBOaWmB/9k=',
'description', 11);
insert into photo (Photo, Description, EstateID)
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',
'description', 11);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 11);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 11);
insert into photo (Photo, Description, EstateID)
values 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U7zKpu3A+op26kBa8yjzKq7qN1GoFrzKTzKrbqN1AFrzKPMqruo3UAWvMpPMqtuo3UXAs+ZTHkwpNQ7qZI3yGgC55lHmVW3UbqALPmUb6rbqcMnpQBPvpQxNRAAdaXdQBNuxRuqHNG6i4H/9OVv+QlP9aL3/UH60H/AJCc/wBaW8/1BpDKlmcGtjzemRWPZ9TWyojA5OaAGb2Lbqd5jZ6U/eg6CkMo7CgCnKzrICBnNOj8wHdjrST3BDAAU5JnIoAnBfBwuKE3qMYzTRI1HmP60AUtRMpiCovB61lMZniVCvStLUZZBGpBrIFxLtHzUAXS8rbTtwVqQyvnJXn1qFJpcDmnedJ60ALHK6uWIznrV9JCflAwKoLNJkc1eilYnnFAEplITBGaZ5pbBx0qRn4OQKYrqRytAFeSY+YHx0FVJSXYse9WpXhzggiqjEDp0oArgkMMetbC1kkc5Fay0AJJ3+op56UyTofwqTtQBEPvNR/D+FKPvNS/w/hQAwfe/Cn00fe/CnUmMgakf/Umlah/9SaBA/3V+op7H96lMk+4v1FOf/WpQA4H9+fpSxf6x/rTR/x8fhSxf6x/rQAkZ/cN+NDH/RR9BRF/qW+ppD/x6fgKAHynhPqKc/8Ar0+hpsvRPqKV/wDXp9DQA5f+Plv92ki+9J9aB/x8n/doi+/J9aAGR/8AHu340N/x7CiP/j3b8aRv+PYUASS/wfWlY/v1+lNl/wCWf1FK/wDr0+lACr/r2+lJEf8AWfWhf+PhvpSRdZPrQA1D/ozfjSv/AMe6/hSJ/wAezfjQ/wDx7L+FAD5T80f1pT/x8L9KSXrH9aVv+PlfpQAJ/r3+gpIekn1NKn/Hw/0FJD/y0+poAav/AB6H6Gll/wCPdfwpF/49T+NEn/Huv4UASTf6yP60v/L0P92km/1kf1oP/H0v+7QAsf8Ar5PwpIfuv/vGlj/18n0FJD92T/eNADB/x5/hTpf9Sn1FNX/jz/CnS/6hPqKBj5P9dH9aUf8AH1j/AGaJf9dF9aeB/pY/3aAHW4/fyj6U63P+jyD3NEHFxL+FMgP7mQf7RpATQN/o6j2p+aggP7hfpUuaiQMcTSZpM0lIQuaTNJSUAP4x15puaSjNAC5ozTaKAEc8D6j+dPzUUh4H1H86fQIdmjNNooAdmjNNzSUAPzSZptFAx+aM02koAeCO9RyH5DTqa4JU4oAkzSgE9KcFUD5uadu9KAAKB15pS1MzSZoGPzRmmZozSAkzS5qPNLmgD//UlP8AyE56W8/1J+tIf+QnPTrz/UGkMp2fU1qVlWf3jWtQAlIadSGgCjcffWpY+lRXH+sX6VLH0oAnFOFNFOFAGdqX+qX61ij7ora1L/VD61ir90UAXE+6KfTY/uipMUAIOoq9F96qYHNXIvvUATP0NRr0qV+hqJelAFSfqKaRxUk3UU1ulAELDitNazX6VpLQAknQ/hUg6VHJ0NSDpQBEPvtSj7lIv32py/doAaPvD6U6mj74+lPPWkBA1I/+pP0pzU1/9SaYCSf6tfqKc/8ArUpsn+rX6inOP3iUAKP9f+FLH/rH+tGP3/4UR/616AEi/wBU31NIf+PT8P606Ifum+pppH+ifhQA+X7qfUUr/wCuT8aSUfIn1FOcfv4/xoAQf8fJ/wB2li/1kn1oA/0k/wC7REP3kn1oAjj/ANQ31NK3/HqKIx+4b6mhh/oooAdN0j+opX/16fSkl6R/UU5/9en40AIv/Hw30oi6yfWlH/HwfpSRfek+tADE/wCPdvxof/j2X8KWP/j3b8aG/wCPVfwoAdL1j+tK3/Hwv0NJL/yz+tOb/j4T6UAIn/Hw/wBKIesn+9Sp/wAfDfSiHrJ9TQBGn/Hqfxok/wCPZfwpUH+in8aJB/oy/hQA+b/WR/Whv+Plf92lmHzx/wC9SsP9JX/doASP/j4k+gog6Sf7xpYx/pD/AEFEA/1n+8aAIl/48z9DT5f9Qn1FCD/Qz9DTpR/o6fhSAfKP3sX1p+P9MH+7STD97F/vU4/8fa/7tAxYuLiX8KihP7uT6mnxn/SJPwqOH7kn1NAD4P8AULUtRQf6gVIKiQh1JRSVIgooopgJRS0lABRRRQBHJ90fUfzqSo5B8v4j+dSUAFJS0UAJRS0UAJRS0AE9KAEpQCelSBAOWoL9loAAgXlqZI/yECkJJ601/umgBwJPWnZpopaQxc0ZpKKAFpabS0AOzRTaKQH/1ZW/5Cc1PvP9QaY3/IUm/wA+lPu/9QaQyjZ/fNa/asi0+/WuKQBSGlpDQBQuP9YPpUsfSo7j/WD6VLH0pgTjpThSClFAGdqP+pH1rFH3RW3qP+pH1rEH3RQBdj+4KkqOL7g+lS4oAQdaux/eqoOtXIx81AErfdNRL0qZuhqJelAFaXqKYelSS9aYaAIn6Vop0FZz9K0U6CgAl+6fpUg+7Ucv3T9KkX7tAES/6w05Pummr/rDTk6H60AMH+sH0p5603/lqPpTj96kBC1I3+oP0pzU1v8AUn6UwGyf6pfqKfJ/rE+tNk/1K/hT5P8AWJ9aAD/luP8AdpY/9c9B/wCPgf7tLH/rnoASL/Vv9TSf8uv4U6L7j/U0n/Lr+FAD5R8ifUU+Qfvo/wAabL/q0+op7j99H+NACAf6Sf8AdoiH7yT608D/AEo/7tEQ/ey/WgCCIfuX+pprf8eg+lSRf6l/qaYf+PQUALN91PqKWT/Xp+NE33U+opZB+/SgBB/x8n6UkX3pPrTgP9JP+7REPnk+tADI/wDj3b8aRv8Aj1H4U6P/AFDfjSN/x6j8KAHS/wDLP60rf8fCfQ0S9I/rSuP9IT6GgAX/AI+G+lJD96T60q/8fDfSiH78n1oAZH/x6t+NLIP9FH4UsY/0ZvxpZP8Aj0H0FAD5x80f+9SsP9JT/dNLOOY/96nOP9JT6GgBiD/SH+gohHMn+9TlH+kv9BSQ9ZP96gCNP+PQ/Q0sv/Hsv4Uif8eh+hpZP+PVfwpASTf6yL/epWP+lr/u02b78X+9St/x9L/u0DEj/wCPmT6Cmw/dk+ppU/4+H+gpIfuyfU0AOg/1AqUVHAP3AqQKamQgopdppdpqRDaKXBowaQCUUu00bTTASkp20+1G00ARSfd/EfzqSmyD5fxH86fj3oAbRxTtvvRt96AG0AE8CnADvTi+BhaAAIB96gv2UUwnPWkoAM560UUUAFNf7pp1Nf7p+lAhw6UtIOgpaBhRRRQAUtJRSAWikooGf//Wlb/kKTf59Kku/wDUGoS2dVmH+e1TXf8AqDSGZ9p/rK2R0rGtP9ZWyOlIApD0paD0oAz7j/WD6VLH0qO4/wBaPpUsfSgCcU4UgpaYGdqH+pH1rEH3RW3qRxCPrWIPugUAXof9WKlqKH/Vr9KmoAB1q6g5qmOtXU60APboaiXpUzdKhTpQBBL1FRt0qWXrTWHFAED9K0E6Cs9x8prRToKACX7p+lPT7opkv3T9KdH90UAMX/WmnIOT9aYP9aakXqfrQBH/AMtR9KcfvU0/64fSnH7wpARNSH/Un6UrVA8mEKsQBQBI/wDqV/Cnyf6yP61WeVNgRmAHanmTdh8jC88UAWD/AMfA+lKn+uf8KqC4Rm80N0FOE6jMwbg9aALEX3H+poH/AB6/hVVbqJQQG6mnJMrxmNTkd6ALkn+rT6ipJP8AXR/jWe11EcIzdDUzzqCrueR04zQBcH/H0f8AdpIv9dL9agSQs3mgkHGOmKcGKFnB5brTAIv9S/1amH/jz/CoPtKRgoSRk9x60CeJo/LBO32FAFmf7ifUUsn+vT8aqtcRumSThT6UPcJuVyST2xQBaH/Hyf8Adoi/1kn1qs9wkcm5iQSOtMF3EpLAnLdeKALUX+of8aQ/8eg+lV451YFI9xBp7SRhfKZuPSgCxN0j+tOf/j4T6VVM0bEISflPFP3hm3BssvpQBOo/0lvpRD9+Uf7VVfPw+7a271xTPtUaMTyCetAFuL/j2b8aJP8AjyB9hVIXcSqUGcHtT0uElUx4IQDknpQBoXHWP/ep0n/HzH9DVA3UUgHzZIOQOlK1yN6lwd54A70AXV/4+m/3RTYfvSf71Z5vow5YBs9CaWO6DsQgb1JoAtx/8erfjRIf9FX8KqmcBcRgsvsaT7QpVUYEZOADSAvTn54v96h/+PpfoazGvUzyCSDxQL1GO8K2QOfWgZpx/wDHy/0FJAciT6mqMd1E3zklSTjJpHufJJBU4PcHg0AaMHMAp4qjbSiVMqCB6VeFRITHUUlFIkKKKWgBKWiigAooFFADJD8v4j+dLkUfxipiTu2quc00rjIc0ZFSFmBwVo3H+7T5QsR5ozTjIR/DSq7sdqpmjlCwzNGaUysOCv600zNtzt/WjlCwuRRmmLcE4+Xr71KJGJxj9aOULDc01j8p+lTbn9KTc/pRyhYYDwKWlDtuAIpW60mgEopaKQCUUUUAFJRRQB//12DP9tXGf89Ku3X+oNU8k61OPT/61XLr/UNSGZ1r/rK2R0rFtf8AWVtL0pALSGlpDQBQuP8AWj6VLH0qO4/1oqSOgCyOlBoHSlNMDL1THkDPrWFEcp+Nbern/Rh/vCsSD7n40AaUH+rX6VPUMH+qX6VPQADrVxPvVTHWrifeoAkbpUSdKmbpUK9KAIZetKw+WiXqKU9KAK0g+U1eToPpVOT7hq7H90fSgAk6H6UsX3BSydD9KSH7goAYP9aakX7xpn/LU1IPvGgCE/64fSnH74pp/wBcPpTj98UARt1NUbj/AFZq+3U1TlOEJxu9qQFFSJAIzwR0NO3rACi/MT1z0p3mKU3lBkHFSh4XUNIMc4GaBjVQNGzKMbh0/wAKarmOPJHG7BFOeCVm3A5FJI6FfKfP+9QIj8gNJ8v3DzmnyPInyxrhB+OfrUixlbcru4POe2KjWM26+ax+gFACKEVd5UB8EgD/AAo3mExFuv3m/GnohecXBPy43Z/pVOV/NkZ/WmBpyujKUmIXPQj0qAW8jIqod3zcEVDHtmCxucEdD6j0qUGZZAiAoq/5zQBNP5sDLFMNwwAc1C4MBLRnK5x9KmkuFuf3ZPOeD64qB90crBh8j9aAHq0ckTbuMHtTxt8r938xU8e2aggUCVoX5DDH+FWIJYkbywCD70CGrCzRFJDz1HrUYgHrViJg7+YTjPFRIgaTZuxQMtKWMe0Y461DJ5JOeVPqBxVhFihU7j+NAAYmRCCaAKssUjNujIPH40yUFJBKRjoaUwytIWccd8Uge4eTABAPYjtQBKbkq5jc5U9D6VSlDq3zc56H1q88bO2Gj6d84oe3HkkLknsPSgDNyTwOtW3dYgINu4d/rTII2Ew3AjAz+VSqzqpluBkdgRyTQA7yEVfMI5xkKaajkxGd/vLlR756flVuSZpikKrgdSfYis+dwcRR8KnA9zQBXGTgDrVt2jjX7OQfViPWo7YAy7j/AAgtUqsGUzXCgDsR1NADBEiJ9oBJA6DGP8ipAdyG6b72Nv400B5Lloz0YY49O1TPC7ARoMKvr3oAzxkYPpVtmdZRJEMhx0/nS/ZsDLMoFTRxMFKFgVPcdqAIJYw6jyscHlRTlfdI0L/cx+VKYjb/ADLy3r2o2B1ZwMMw6f4UgLVohjUofXitAVRtGLR4PVTitAA1DBiUtLg0YNIkSinYNABPFACUUpBHWigBKKKXFICP/lotTkkHIqHHzr9amI5rSJSDJPJpGUgc0jcCjzC3DVQEAOVzSBiGyDSn5SU9Kj6ZNAEmcgk0g6VTmuTCBgZzTLW6eZsFR70ATcqSn4irStlQ/wCdVp+CG96kgPDL6GgC7RSr0pcUARfxClbrS4+YUMOalgJRS4oqCRtJTqSgYlFFFAH/0EOP7Zmx7/0q5df6hqon/kMy/U/0q9df6hqkZmW3+traXpWLbf62tpelADqTtS0UAZ9x/rR9Klj6VFcf60fSpo+lAFgdKWgdKWgDI1j/AI9R/vCsOH7hrd1gf6KMf3hWJEpCc0wNG3/1S1YqC3/1S1PQADrVtOtVRVtB81AEhHFRIOKmbpUSZxQBDJ1oPSlk60h6UAQyfcNXY/uj6VSf7pq9GPlH0oAV/wClMg+4KlYc/hUdv9wUAIf9calA5NRkfvvwqcD5qAKrf69fpTm++KSQfv1+lOcfOKAIW6mqkxKxkrwauuOTVZsD71IZTLKY8S/KW9KY0ZEJwcjOeKe0KPJy2D6GmyCcMAgIA6YoEAmMcSk9M4NRyTTIQAdynoTUkrR7RFJ16kgUR27NCwBDL1U+9AF7BGNx7fd9aqIk1xuVwQDyD2GKtwTl41Zlyc4OO1NPnGcMjbkz27UDKdxJsQW8eQo6n1qnV+O4kIcSfOFXIBpjQpNH51uMc8r/AIUxDrezE0fms2B6Ac1aWWGNvszlm5xzVW1kGwxHOR8y9ufSnxXAuJcyx/dOdw7fWgCaMWjlhH8p71HsFsSfmYe/Q1FHARI0iEMhB5FWhcxGAZHHQ0APBiZlwBuxmq5KGbEkeGz1FSK2xACeF6EdwafuSQ5xgDoTQBCFWSQPEwIXtVRHKShjxzSxq8TtnggGpcfaYy2MOv60CJWljTMLAkH1/pUTIYoiyHIJGCKRAsq7XzuXoPWkEz7vLVfl6baAJ47g+WPNJ5OARTJJp4mGWyOx9abNHiMCPkDkj0p+Q6iBv7oIPvQBO0gzmUgKRwe9QJFIrbkbcuDyKiTDr5L8EfdNXAyQDb/EBzQMht55SSj/ADYGamkRbhQ4JGzkjHNOg8tm83G09PY/SiaUrvZBtK4oAsCTcRjhcZDVSD3CFhNhgFJGRwcUsgW5gBj4IPA9+4qNZfs6GKU788bfT8aEBPaPDKXYLsYDnHTmmXUTSBXlKoBmofJUQO8J3K2PqMUsbo1ukc3IYkZ9KAJ7eeLPlqMkDAJ70shjZMTZQ+nWsxkdJNn8Q9K0VjeVf9IG0gcN/wDWpDuNSNGRlRg3cUxYnAaNhwRkH3qQxER7YcNnqRSKskK7udx6D0oAbbyOCY+pI4zT3RXb94Cj9sf0pImkLb3AIXvjmlkkM/Dow9CKALNs4YHAwQcHNXhVSAADG7cR1q4KhiYtH0pwTuadwPu0hCBe7cUu4Dhabz3ooAOT1oxS0tAhMUYp1LQBER86/WpyOajP3l+tSnrVxGiJh2qNl9Klb71BFUMplhvIbrjio2bCmpLiEuNyHDDpVJZs5Vxhu4oAZLiSIjuelVrB9spQ9GFOZth68daqI+yYMPWgDZdHaEtSW7FpCPUVUkuTsCKevatGyhZF3vwTQBoKMAA0/FRg96fQA0j5hQw5pR2pW61LEMxRinUVADMUmKfTaBDKSnGkxQB//9GIsTrco9z/ACrQuv8AUNVBj/xO5Rjv/Sr9z/qG+lSMy7f/AForbXpWJb/60Vtr0oAdRRRQBn3H+tFTR9KiuP8AWj6VLH0oAsjpS0CloAzNVKi2yexFYUZLR5Nb2qDNrjGeRWDHnbgjHtTQGhb/AOrFWKgt/wDVCrFAAOtW0+9VYDmrSfeoAlbpUKdKmbpUKdKQEcg5pCeKew5prdKYEEh+Q1ei+4v0qlJ901di/wBWv0oAew5/Cobb7tWG6iq9t0P1NADmH778KnA5qF/9aPpU9AFaQfv0+lOkHzLTZP8AXpUkg5FAFd+pqpIQqFj2q5J1NU5VDIR60hlEAzQ7j95D1pqyT5AjJPtVmNGWRYh0A+b8aJEKL+7YIvf1oAQFycSOufTGTTPMjlBTc2R26UyQQgCXJ59Kc+zzl2JljjJoAIWhAZCSAw5Bp4Q2n7w8k/dx0qx5bCQvIQi5pJbiRTlUBX160AMQB42klXaWG3I7/hVd0lggDKc7X6j6VoI8ZdHclWbovaoHDSyHyJABnOP8aBGfMwIW5j43Hn2NWkJu49g/dseSccGpiYVibylDv3A6Z9cVGpmuV6mMj8jTAY8c1ou2FSSerChzGI/LnG125OP61NFIYYyVJbPQn19qFF5KM4U+5FAxscUyplfmA6Y7juKWeCWRsocjuPSpXnZR5SjcO56flTIYlDeYu5T6HvQIh86JE8lzuzwT6VGQ8EW4HOWGCKtbLeUCWZdhz270x0m+7gPH6CgCrM33Z043fzqeK4SYeW52sf4hUos1EbBzhDyB3FQqxjOxY9o9R1oAcLeWFjIx+UenOaY5E58yH7w/h/wqQCaKQEuW3dB/jUyMrTFygCoOT70ARmDf+/cHBGdo65pY51mfZNHhR3PbHrRKJLhhsYcdMcU9o3KfZ2OcjlvegBksEkuHiYMOw6UrsYk8iUF89T6fSmSwSeYFiJAUADFTlpoowFO89ye1AEcduUJXd8rjOO+e3FIHtJXVJcl/XGM/WmPBvzOxKEckdfypxDSRh0+XBIZj1xQAkkN6JAU5HbHQUrBLn90h2snJOOPeqxmnD5iJA6AVckllQLCVDsw+fikAnmqybbdhvHGT1P0psbSv8kq7sdz1FNa1iiHmMTjj5f8A69PdpZkQKMbs8ChgSBFRwsXLHoe1WJA4JbzMD9KrSyiEBE+8AAT9KV5Y4yUIJV+fz9KQx5NxjKsGHtVYyOThiaUr5UReM8MRginB0kRRNwzdGoAnsejH/arWB4rMtEZAyt61ojpUsTH5pKKKQgpaKWgQUUUtABS0lFADT95frUp61CfvD61K3WriNETcNmnk01x3phbgGqGPNU7i2Wbn+IdDTriV0j3R8nvVCxu5riR95GFoAaLJpgQjYYdQazZomhkMbdRW477XEq9DWRO3n3JI6E0Aa9nZRoiyvy7DjNaJ9B0qssgJwvReBUvPU0ASg0gPJFJTCcHPtQBKp6U9utQxnIU1M3WpYCUUUVAhKbTqSgQ2kpaKAP/Sjf8A5DUvPf8ApWhc/wCob6VQkx/bUnrn+lX7n/UN9KkZkwf60VuL0rDg/wBaK206UAPooooAoXP+tH0qWPpUVz/rR9Klj6UAWhS0g6UtAGdqgJtT9awUOVPGK39Sx9mOemRWH2pgXrX/AFQqziq9r/qVq1igAA5qwv3qh71Ov3qAJj0qBelTmoVoAY3Wmt0NPfrTG6UAQSfdNXYf9Wv0qk/3TV2D/Vr9KAJT94VXtf4h7mrB6iq1t95h/tGgCWT/AFo+lTVE/wDrR9KmpAVJf9clTP2qGb/WpU7dvrQBXkHNVJAShAODV2TrVR1VkIfpQNFLEhw4yHXr7imzupYq65we1Tl0gIB3YP41FLD5jEowJ64NAELSx4HyZ29MmpYZXlJdsKi8nHeqsiMo2kYNWnKxIttt3E9cdc0xA8iXLfeK+gPSlGbTl+WPQDpT/KWBS8fzN057UqxGZEeQ4C53E0hiuhVmmHLScJ+NSJCYx5YHy4+YnvUQuoxNuIyqjC+1WobhHJCktgE4NAiARojAxDJPc1IV2yGSX1OBU0srqgaIA+vqKfiIMGlGGOPzoGRJDuPmScAdBVgzBFAUcGqU7ymQIehPGKt7CScZAA6/SgQrIGG8YK1XIJlGPwFNNySCY+inp61dVUlTg7XxzQBQmw7YHQUiRYG7GfQU6SOOMhWYgn1qwSFUFTwB2oGQFA+TJ19BQFLR7VGBUIljXJyWJ/CpU3SLubhewHegBxjIUKgzx1pNgSLaQeTzVlCC6h+Fx070gOCT1AH4UAQ7VjUlfvfyp6NhPMbqOPxqRFjmKyHgtwR61C7IcDbgA7cUCuSJwu9u9NXmTEY+ppIUfeQzEL2HeniTCSZyuzoe9AXIvJKhnk5zxxUTneNvRfQVdkwV3wnkL/niqrFJXMafK4/I0WGMhRBKu4gd6ttvIYIPoazVDu4jxz0xVly6rstzwOpB5zQAgiwrCQ4yQeasRbFj2pwe2arK/Aa4HU4HrTGjlMbM3Vjj6AUgE3LIWE64KjlhQIwQFf5h/Cf6Glb95EUyDJ3x3FRq/kxqrDIc5IoECvNu2Bfl7r2pZ0G1RFyo61IzAfuZuh6MP601YTD+9U7h6D+tAF6ByxZT/CcVdHSs61ZXDOMgk8g1ojpUsGOoopaRIUUUtABS0UUAFFFLSAYfvD606RSSGTqKafvD61P3rSI0Vg+4Y6EdqgZhggVdeJX9j61Qmtp/vIcmqGVGkJDKOhrK09yk8i+oIq5NDdoS2wkd8VjqXWfgfMT0oA3rl/LhUHris2EFnyO3NW7iGcRefcDb2Aos4C0UkoGcYoA0oAEUA9TUF9MBwDjbTPOAXr0NZ0zmWU+lAGpYmZh5kjcHoKtyttUn24qtbjbHl+AKkhJuJN5+6v8AOgC7EMAA9qmbrTFHf3qRutJiG0UtJWYhKSlpKAEpKWkoA//Tjlz/AGzJ9f6VoXH+ob6VnTAjW3J9f6VpXH+ob6VIzHg/1orcTpWFD/rRW6nSgCSkoooAoXP+tH0qWPpUN1/rR9Kli6UAWxS0gpaAM/UgTanHqKwFO4E+9b+p5NocdciufjAVCB+NNAadp/qVq3VW0/1Iq1QAoqdfvVAKnX71AE5qFamNQrSAY9NPSnvTD0pgQP8AdNXIP9Wv0qm/3TVyD/VL9KAJW+8tVrf/AFjj/aNWW+8tVYP9dJ/vUgLEn+sH0qUVG/3xUooApz/61PrU7dBUFx/rE+tWG6UAQyVTbG0hulXJKoTDMTUDRUV2c+VKuQPTtTmQ+errypPWmg+cgTO1v50pf7N8uMnv6UASQ4nOJOSpyDUkhRS7KP3gHUVBykTSw5Ge3cU17mUwrIhwejfWgC1ZBhGxkGCTnmnyvKGUR4KHg/8A16z4JSXIkOQwwc1OhNqxLHPoo70AGYZnZGXaRnke1RhWtpQzcqeMjuKlEasjzRf3SMehNNhZfJEcvR2IHtQIu2sawsXz/wDXFQsfOm89TwOoPan2ZALQTfw9D6f/AFqlMO3KwjAz1Hf60wK1k24bX5AIx9atyCZg0an5cdTUAhjMRYdQckA0+YGS2WSIEZ60gK4U24JUFj3J6VLEw5Zhh3HSrCt5dvvkyRjgGo0gTf5zk4659qYCu0dxGolGD2Iqn86XOOR/gKuzgyQj7PwCefWm4hhVY5TljwD6UAVlRLj94Plx94UyQpM3yPjsARV1IktuDyHNL5FsjkLncRkZpARKEUrET84Gc0iXMCfugCVPU96II0bMshP7s/nT1MNwjPEPLf1pgNkYQ+UgyQDnNSF4XO9uPLb5vemJEII99zyCenXmlljjTZGBkSHNAEMjJOxeNvnzwDxU8k6ki2JyW4Y+h7U7yYIiUQfN3PpmkhgTcZ5OcDj60AM+0RQSNncTtwfSqpTyg8oOQwwp+tXVEV1G0gUGReme9U08ybMMgwOxx0NAFgMoh+0ScMw25H86rpAoUzFsqOeODVyRIzEvm8Kh/wDrVVy73BXHyjK+2KQCbWuyrnjBwfamSXIMxzyn3cUPIsSGGI5z95qpEUwLbxRwYlySD0x/Wn5F0yuvBHBFVYrho/kcbkPUGragAb7QD3B60gGuTKrg9VOR9KrBmU/KSKuIhLb1GAQQR6VVKnPSgDRsnd1Yuc81pr0rLsQQrZ9a1V6VDBjqKBS0iRKWm0UAOpaSloAKWilpARt1H1qeoW6j61PWkRoWiiiqGFcvq8Xk3SzqOG/mK6is7UrR7uEKmNwORmgChqkwkjhA6Ebqv6XHttQT/EazG029dUVtvyjHWt+CMxQrGeoHagDK1CzRIzOhxjqKxoopnO6JS2OuK6W/t5rmIRxYHPOafZWxtoQh698UAZCW15MQsgKrW1FAI0CAYAqxzRQAwjpSN1pxB4pGqWIbSU6kqBDaSnU2gBKSlpKAP//UbcA/2wx9/wClXp/9Q30qpcf8hRvrVyb/AFLfSpGY0P8ArRW6nSsKL/WLW5H0oAkooooAz7r/AFo+lSxdKjuv9aPpUkXSgC2KWkHSloApagpa2IHrXOqoVSBXS3n+oNc2PummgNK0/wBQKtVVtP8AUirdAC1Mv3qhqdfv0ATGoVqc1CtIBjdaYelSN1pjdKYFd/umrkH+qX6VTf7pq3b/AOqWgCZuq1Ug/wBfIPerbdVqpF/x8P8AWkBak+8pqUVHJ1WpB0oAp3P30+tWG6VBdfeT61YPSgCGSq3l70bPSrEnSmp9xqAKQtovJ87b+FTSRqEUsNwJHBqQf8emPanyf6tPqKAIWgRZlGMlu9L9miMhg2jBG6rEn+tj/GnD/j5z/s0wKkVnAzsgQDbT1hjlhLso+TIA+lWohiWT6iiJcQsPc0gK5RFtlnC9BwKJoIlCEoDub8s1OVzaBfapJlysfswoAasEazY2glh1p8KKsrxKMDrUhOJ1z6UoKidsdSKYFaC3iJdioG044p2A9sZNoBGTipYCA0gPrTQym3YL70ARSKDaCQgE46U6VAsSqACGwDQxH2ML7VJIy7UDeooAY0SoURQBnvSPCjyhWUcc5qWRh5qAUodTMQeoFIBnlKzYIHy9KasYJMpA3AYqRHBdvY01HHls3bmgBnlhYSQBz2ppto1A2jr1qRnAhyehp0jhdgHc0wGMAXWFlyuKBCDNtPQDipSymVQfSkD5uG9gKAEiRdzDA470IMxs5AzT4nUlyB3pqOPIJoAj27LbeoGTTJV2yRqvRzg1MxH2UD2FJKuXjPo1ICJlzcCI/dK5oRd00kZ6LjFTFf8ASFb/AGaEGJ3PqBQBWhQOjlgPlYgUwD/RPNwN2KtRLhXHuajA/wBEI9qAIpUCxoygZJGadIgWVFXo3Wnyj90n1FLL/ro/rQBHt/0jy/4cZpI0DSOpHC9Kl/5ev+A0kX+uk+tAEcC7kJbqCanHSo7f7jf7xqQdKmQmOFLSClqRDaWkpaQC0tJSimA6iilpARyg7CR1poEn941K/wBw/SnL0pgQ4f1NGH9TVikp3Ah2v6mja/qamopXAh2v6ml2t6mpaWncCHa3qaNrepqaii4EGxvU00o2DyasUh6Gi4FZUYqMk1OoIHNCfdFOoASkpaSkAlNp1JQA00lKaSgD/9UuP+Qo3+9V2b/Ut9KpXP8AyE2+tXZf9S30qRmLF/rBW7H0rBj/ANYv1rej6UwJKKKKQFG7HzKadF0oux900RdKALg6UtIOlLQBWu/9Qa5v+E10l3/qGrm/4TTA0rP/AFIq3VSz/wBSKt0AKKlX7/4VFUq/f/CgCwagWpzUK0gGt1prfdpzdaaelMCu33TVq3/1K/SqrfdNWrf/AFS0ATN1Wqcf/H0/1q4/VfrVJP8Aj7ekBek7fWnjpTJOg+tPHSgCpddU+tWf4arXf8H1qz/D+FAFeXpTI/uGpJfu1HH9w0ANH/HqfpT5P9Un1FMX/j1P0p8n+pX6imA+T/Wx08f8fH/AaZJ/rY/rT/8Al4/4DQA+P/WvRF/q2+poj/1r0sX3G+poAXH7inv0X60z/lhT3+6v1oAcQTKuKcEUSkk9qY3+sX6UD/XH6UAPQRhmx601DH5Rx70yP77/AFqOP/Ut9TQBK0iC3BA4xRJIAEOO4qA/8eo+lOl+6n1FAEzyYmUYpBJ+/Ix2qN/9elA/4+D9KQD43yz8DrTUfMDHA702L70n1pqf6hvxpgPdx9nBwO1OkYZT5e9Qt/x7D8KfL/B9aAJGZfPXjtQhTz247CmN/r1+lKv+vb6UAOi2ZfGetCBDAcHjmmxfef60kf8Ax7n8aAHuB5Awc9KdJ95PrUbf8e4+gqSTqn1oAU/60fSkX/Wt9KU/60fSkH+tb6UANTo/1qP/AJdj9KkTo/1qMf8AHsfoaAEl/wBUv1FLL/rY/rSS/wCpX8KWX/WR/WkAn/Lz/wABpIv9fJSn/j5H+7SR/wCvk/CgBLf7rf7xqVRkVFB91v8AeNPU1MhMkAFJRuNGakQlLSUUgHClpKUUwHUtNpwoAHHyH6U5RwKax+U/SnL0FAC0UUUAFFFFAC0UCigApKWigBKQ9DS0h6UwGoMqKQyKDgY/GgcpiqbuRhSOPegC6rLJ93rSM6rx196rRjLbhSuxTIAzQBOJEJw2PwoYY+hqkDuwAMfSrQ4AHpQAGkoNJSA//9Yuf+Qm3+9V6X/VN9KoXX/ITb/eq/J/qm+lSMwk/wBYv1rej6Vgp98fWt6PpTAlooopAVLsfKp96SLpT7r/AFYPvTIulAFsdKdTR0p1AFe7/wBQ1c0fumuluv8AUNXNH7ppgaVl/qRVuqdl/qRV2gBalX734VFUo+9+FAExqJalNRL3pAI3WmN0p560xuhpgV2+6atW3+pWqzfdNWrb/UrQBK/8P1qkvF21XZP4frVL/l7akBff7tPHSmt92lHSgCpedE+tWR90fSq150X61ZX7ooAgl+7Ucf3DUkn3ajj+6aAGr/x6n6U+T/Ur9RTF/wCPU/Snyf6hfqKYEkn+sj+tP/5bj/dpkn+sj+tP/wCW4+lADk/1r0sf3G+ppE/1r06P7rfU0AH/ACwp7/dX60z/AJYU9/ur9aAFb/WLSD/XH6UP/rFoH+uP0oASP77/AFpkf+qb6mnx/ff61HH/AKpvqaAEP/HsPpRL91PqKQ/8eo+lLL9xPqKQDpP9clIP+Pg/Skk/1yUD/j4P0pgEf3n+tIn+ob8aI/vv9aRP9S340CBv+PYfhTpP4PrTG/49xTpOifWkMe3+vX6UL/r2+lI3+vX6Uq/69vpTAWL7z/Wkj/1B/Gli+8/1pI/9SfxoAVv+PcfQVJJ1X61G3/HuPpUknVfrQArf61fpSD/Wt9KVv9av0pB/rT9KAGx/xfWmD/j3P0NPT+P60wf6g/jQA2T/AFK/hRL/AKyP60Sf6lfwol+/H9aQAf8Aj5H0pI/9e/4Up/4+B9Kan+vf8KACH7r/AO8aA6+opIej/wC8aUKPSpkJjt6eop29fUU3avoKdgVIhu9PUUb09RTto9BTggHXFADd6eopQ6eoqTC+lJsx0oATzEHcUeZH/eFOwadigCMyRlSNw6U4SRgD5hTiPlJ9qev3RTAj82L+8KPOi/vCp+KbigCMSxnowo8yP1qToaXBPalYCMSJ60u9fWn4NFOwDN60m9ff8qk2E85xSUAR+Yvv+VIZFx3/ACqWmnpQBEHG3v8AlSORipVUFN2aaRnGOadgGBgBSZU5z+tSbWPQUYIXkUWGQqRRu9jUmMc0ykwG7vY0m72NPpM0hH//10uv+Qm3+9V9/wDVn6VQuv8AkJN/vVff/Vn6VIzBT74rei6Vgp94VvRdKYE1FLSUgK91/qvxqOLpUtz/AKo/WoYulAFwU6minCgCC6/492rmT90109xgwNmuclULkCmBdsf9T+NXqo2P+p/Gr1AC1IPvfhUdSD7w+lAE5qFetTGoV6mkAh601ulPbrTD0pgV26GrVr/qVqq3Q1Ztf9SPxoAmk/h+tUj/AMfZ+gq7J0X61Tb/AI+z9KQF8/cpR0o/goHSgCpefdX61YX7oqve/cX61On3BQBHJ901FF901LJ901DF900AIn/Hsfxpz/6hfwpqf8ex/GnP/wAe6/hTAlk+/H9af/y3H+7SMcMpq2pBwSOaAIE/1r/hSx/db6mrQC9cU8Ko6CgCl/ywp7j5F+tW8KOMUvFAFRgTIpxS7W87OOMVazSFqAKkaNvfjikSNxGwI5JNWs0wtQBTdCsG09adIjFVAHQ0THOAfWpwaQEDoxkVgOBTQD55+lWs0UAVYwd701FIiYEc81bopgVCjGALjmnurEJx3qyDRmgCBlYyqQOlOEbCUsRxips0u6gCJImVmJ7mmRKTGyd8mrGaqxnEjj1NAEpicw7B1xTpEY7cDoakBpwagCIo3mKQOBQEbzCccYqfdS5oArJGwLZHU00Qv5RQ9at5ozQBSeFjGEHXileEsVOfumrZBphpAVTEfNEmeMVCv+vf6VacntVVc+YSfSgBIP4/rTxUcJ+/9aeKmQmOopcGkqBC0uaSigB2TS5NNop3AfuNMaVVIDdTRUcqh0IP4UIB7ToBhuM05biPA5rDkkLou7qODVcuycgmqsB1AnhPG8U8NGT94VzQkfo+D9aCQOVJApjOnJUcrz9KFnBOAGz7iubjnZTnOfxq79slXFNAbBmOMFW/AUoQsM8j61jjU2Xg1OupgjqKLAaJTA5NNwhO0NzVX+0O+Afxpf7SiU4cFfqKLATsUU4J5p4jyM9qgGo2zfxAVKLuFh8rCiwEiwrtxmnLEoOQaqiaXJwyEU5ZJycbR+dOwFoKBkg1FvJfgce9NDTjsKerOfvDH0FAyORHY+3pURicdquZHoaYVVjzmk0IqeW/pTvIf2qcQoDnJ/OpPLX1P50uUD//0Euv+Qk3+9Wg33D9Kzrs/wDEyb/erRb7h+lJjMBPvCt2LpWCv3hW9F0FAFikpaKQEFx/qjUMXSp5/wDVNVeHpQBcFOFNFOFAEc4BgYGucnwM4roLo7bdjXOO24E0wL1j/qfxq9VGx/1P41eoAdTx94fSmU8feH0oAnNQr1NT1AvU0gButMbpTz1pp6UwK7dDVi1/1I/Gq56Gp7T/AFI+poAnk6D61Tf/AI+vwq5L0H1qnJ/x9fhSA0B92kHSlX7tIOlAFS9/1Y+tTx/cFV73/Vj61PEf3YoAC205xmrUawsOFHNUn6Gn28nApgXxbwbdu3il+ywFdpXilByM08HNAhv2eE4yvSpBHGO1LS9aYAFUdBS5ApKRiQMgZoAhkOGzTc1KVDdQaXylpAQ5puaseUtJ5SUAV800mrXlJUMiKoyKBlOT7w+tTDioJPvL9amyKAH5oJpuRRmgBc0mabmjNADs0uaYKdmgBc0oFNp2aADNVhxK34VYqrz9oYewoAtg0/NNjAJwan2LUc1hkeaXNSbEpdi+lHMFiLNKDk1JsX0pNuOgpOQWHZo4pihucjFOwai4wwvpSYXrijp1pM5ouIML6U3j0pT7VGeKVxiO+0VWyW5NOdsmm9KaJYUtGDRVEhS0lFAC0wmlNMNAGPONsjD3qtJ938RVy5H70/SqknC/iKsCTIpcAgZpQM5pT2H1oAYFHrTyTsAz0pMUYJBFAIXYvekMaYyKUk9aTJp3AFjOMg08GQDB5FNDEUpc0XAY6L16UIkR6nFO2hl+hqk4xkUDuWlDCUqjfrT/ADpUPDHI96p6ec3Yz0wa3/IhbqoovYVykt9cr0apl1O4HXBqU2UJ6ZFUrq2EEe9TntT5kBdXVmZthGDUv9oPjpWFFF5mWzgg8VpLbu6hs0hln+0X7Cnfb2qhNA0cZcnOKg3Ci47n/9Fl5/yEm/3q0j9w/Ssy9/5CTf71aZ+4aQzn16j61uxdBWEOo+tbsPQUAWaKQUtICKb/AFTfSq0PQVZl/wBU30qtD0oAuCnCmCnigCte/wDHq9c31Q10d/xaP9K5pTmMmmBp2P8Aqfxq9VGx/wBV+NX6AFp4+8PpTKePvD6UAWDUK9T9am7VCOppAI3Wmmnt1phpgV26VPaf6kfU1AelWLT/AFQ+poAml+6PrVOX/j5/Crkv3R9RVOX/AI+R9KQGgv3aQdKVOlMoAqXv+rH1qaE/uxUF5/qvxqSE/uxQAsn3TUUDYJqR+hFVkITO845pgbcZyvFTCs6GTf8AdPFXxuxzzQIkJ4qGGTINSVURtrEH1piLwY07PrUKuT1p+aAJM0ZqPNGaAHk1HnJpc1EWw/4UASk4qGTOOal3etNJzSAzn5ZfrUpAqNxhwPenHNBQdKM0wmm5oAlzSZqPJozQBLmlBqHNODUAT5ozUYNGeaAJarMP35PtU4NQNxKCfSkBZTJ6VYBPeoUyAKk3isXuUKxwKeGqs7VKCcUgJsmjNR5NANAD80hJpmaRmIoAJGO2mxElBmoZGOMMPxqWP/VikA+mMRS4zVeUEDimAzqaWlRCwyBTjE47VfKQxlLSlSBzQFyM0CEpKKDQAGmHNPOPSmHFAGVdcS49qhMEjrwO9WmCPcsG9KUvsOK0VgZGI2XJxUTkqenQVZE471Ejr5rM1VZCVysZwOoNCzoSB61fKxP2Bqs8EYIIGOaOVBcZ5iKAHOKUNGejCq844B96qlfalYZpYGM0u3I61nKZVPyZrUjLFASvNS0AijAP1rOmzyB1rTPAAxjms+QDkscDPWgYmnD/AEofQ10gIUEngCucsB/pQI962blWMfHbrSYhkmp26HaMt9KrXF7Hcx7FGDnPNUGgQ/MnSohHsPWqSQGjbDg1pxygKF71jQPsBqCWR/NLA8U7AzoZSJYyg7is77LL6iqsVy3QmrP2g+tVZE6n/9Jt4udRc+jVon7prPvDjUH/AN6tA/dNJjOe7j61uw/dFYXf8a3YPuigCyKWkFLSAjl/1bfSqsPSrUv+rb6VVhoAtinimU8UAV7tQ1u4bpiucYKqELXR3f8Ax7P9K5r/AJZmmBo2H+q/Gr9ULD/VfjV+gBaePvD6UypB94fSgET9qhXqfrUxqIdT9aQCN1php7daaaYFY9KsWn+q/GoDU1n/AKr8aAJ5fuD6iqc3/HyPpV2X7n4iqc3/AB8D6UgL8fSmHqadH0qNjyaAKd4f3X41JbYKDNRXh/dfjTIT8tAGqPK9BQY4H4KiqYNOBNMCWJEhYxrzzmr6kkelZUTZuCD6VqA4FAh9VUB3sfenNKFGaZESy7j0NAiyMde9OzUG7uKC+aAJ80Z9Kr76A+KALG6o2IDZpokpszfIGAJ+lAEuRSg4qh523qCPwoW5jY4DUDHTn96p9aQsKZNvd08rBPcGpltGPMjflQMgJFRl1HU1fFpD3yfxpwtbcfwCgDL85PWk89PWtgQRDoopfKj/ALooAxvtEfrSiZPWtnyo/wC6KPKj/uigDKWZD3FSBwav/Z4T1QflTDZ25/gA+lAFYP6VG+d6H8KsNYp/AxWqjRTRyqJDleoIpMDQDArim5FUmnUHaMk+1PXzn6IfxrCzKLBYH5alz6CqyxzKwZwAPrUjS4osBNmkz6VWMgo3j1pAWc0pPrVXePWl8wdzQBI4ypAp0eNgpu4MMVVSXaSrdjQBePsagdypGeRmnq+RVS7cKFAPJNNAXfOAGKTzxVQdM0VuSWWlVhgigdKq1MDwKliD0FObtTKCakRJUQ6ml3VE7YBPtQBjSvunc9+1MLtjipUcBTuGQTTWWJhwcVYxyujHkHNRnbty2evarRO2Mj260QsFXBHvTAo5jPGSPwoTBkCg/jWgrKAdwFVzgz7u2KLjEVPNJHoauxwwqMYyaqQOqbixxk8VYV8mqTJaLOxPSontlbocUhfHNJ5w96q6JsyuyYYRg9qrPazD3qyHAlLntVrzVPcVKGzFVZYW3rwfWpjeXJBBOc+1abbSOcVVkjQ9qdkK5Vt7prcEbQwPrUk91HOm0JtbPWq7Jg4FMxSsUhcHFWY4EaMFkcn1FQMSFGK0rWWZISAoIH3aTGZ0UKF23ZwPTrUuy3/2/wAqkt3MTtIFLY7Crn2wf88WpXA//9OO+DHUWwON1aZ+6ao3f/H7J/vVe/hpMZzx6/jW5B90Vhnr+NbcH3RQBcFFIKWkBHL/AKtvpVWGrUv+rb6VVh6UAW6eKjFSCgCvef8AHs/0rmf+WddPdYNu+fSuZ48vimBoWH+rP1rQrOsP9WfrWgKAHCnj7w+lNp46igCc1EOp+tSmoh1P1pAI3WjbmhutPHSgCsVGDTrP/VH604jg02z/ANWfrQBYl+5VOb/Xj6Vcl/1ZqnN/r1+lAF6PpUUnDGpI+lQSn5jQBTuj+6NNhPy1KYHuF2rx7mr0VnFGuD8x96YFUEU8EHpV8RQjooqQBR0GKAMdI5PtPmFWIA7VoKLh+AoQe9WgadmgRUNqWHzsT9KYI7hQFRQAPU1fzRmgCh5FyTkkCl+zXB6sPyq9kUuaAKQtpe70fZZP79Xc0ZoApi0cfx1IsDqc7z+VWMijcKAAgVBJBE/JUZqfINBjZxgcUAU4IdpLnn0q5ipBEAMUFCOlAyPFFB460maAFopu4DvRvB70XAdRTdwoyOlFwHUVkzXEkchVGyKlt5mlbEjYxUc2o7GlUciCRSppd6+tLvX1qxEEKKg245FWBULsqkPmpA6+tIBWRWGGGaZ9nhP8Ip+8etG9fWiyAj+zQ/3RR9mg/uipN6+tG9fWiwEJtYP7tJ9kg9Km3j1o3j1osgIfssY6Ej8alESAYIz9aXePWk3j1osgGG3jPQY+lVp7MyqBu5ByM1c3ik3iiyApGCZRjGfpUZSUfwmtHePWjeB3pgZZVx1BqZRxV7etMbyzSaEVKSnlTnik2ms7CIzVa5bETe/FWyprPu8krGOpppAU3G2FPfmq7/d5rQuUwqiqUgAQ1QyUn5DUmeg9qj/hA96cTzQwH9epqJshifajNKfu49aACPYyAYyRTslTwvP1qRWj+6Rj3p+wnlDmmMrPLLj7uPxpUZy3zJgfWnujkYPY0MWw2eBQBWbJjY9eagDeoNWv+WPHrVdDiQZoAARn0qXGRwR+dTwKCwDf3quSQQ7GbAyBTuBnQRO/zKMin3MTJFkjHNTW0HmxCVTsJ9OKLpJ0iw7blz3pAZZ+7+Na9kCyDPG2sph8lbVgP3X4UCK1kP3z1q4FZlgMyvWttpNAf//UbenF+4/2q0f4ay7/AP5CLf71an8NIZzzdTW3B9wViN1P1ratz8goAuClpBS0gGSf6tvpVSHpVuT7h+lVIelAFoVIKiqUUAQXf/Hs/wBK5df9VXUXf/Hs/wBK52GCWWL5V/E0wLWn/wCrP1rRFQWts0KYJySatiM0rgNqwqjaDUfln1qdVwuKLgKaiHU1KaiHU0AI/WnL0ppGWAqQDAxTAibvUdn/AKs/WpT3qKz/ANW3+9SAsS/6s1Tn/wBcv0q5L/qzVOf/AFq/SgC6nSq03U1YT7tVZjzTAdG2BxU+81UQ8VKDQBNvNODnvUOaM0AWQ1Lmqu6nB6ALG40m41Dvpd1K4E26l3VBupN9AE+6nZJ6VCuWqcAUAIASeTTthzwRR0pu4A80wJ4ysZw/WrIdD3rPMinioySvalcDV3r60hkQdTWV5h9KQsTRcC5NPGRtHJqJpQBiqbORwKXJI6Gs5JvYtaDLhi7LHwAe461cTy4kCE5Iqi8e8DIbinoCowAfxqeRjbRdaRV7j6VE8hxn0qHJ/u/yoyScEYpqLTFoITG3JpVKKflpOKUDJ4p2ETDcelO8qXPPH1qZAEXjr61A0vzYFaEjjAGGGYUmzHFRO7FetOVjik0MU5FAal3Z60xxjkdKEA7dS7qg3UbqYifdS7qr76XcKAJs0ZqLcKN1MCXdRmod1JuoAmLU3NR7qM0APzSZpuaaTQBMhzmn4otgCWzVnaPSkBTIrPI8y6J7IK2mAAJxWdaqoVnfgse9AFK74A+tUZATGa6BzCeoBqjLFAw6YouFigDkDHrS5FSMiiQIvSlMaii4EORSnoKfsWopTjGPWgLADS5pOPSloAf5zhThugpZHyhqH1pxOYx70AKdqKCfSohNEWA289uBUzNg49KaHjzyozQBKBlsLwc+lPlWdIyzt8uOaSNwkhOM80Xs7SweUvcigB8EUpjBiYhT04pLqOVYcuxPPerUNx5caoB0GKivbjzLcqRjkUAY5B2HNbmn/wCqH0rDPMZ+tbtnIIohnuBQBW08fvpa1sGsvT5AkkrHua1vtMdAH//Vh1A/8TJv96tX+H8Kx9Rz/aR/3q2B938KQzn2+8frWvb/AHBWQ/3j9a1rb7goAvCnU0U6kA1/uH6VTh6Vcb7h+lU4OlAFmpBUdSCgBSAQRUYTiphUgXigCAJTtlTBaXFICHbQwxU2KjegCM1EOp+tSmoR94/WmA4f6wVKw5qNf9aKnkBznHFAFVu9RWf3G/3qJHIByOKbZco31oAszf6s1Un/ANav0q3N/qjVSf8A1i/SmBbT7tVJjg1aT7tUrggHmgBU6Cn5qvEJ5AfLTdiphHc94/1FADw1G6kEdx/c/UUeXP8A3R+YpAG6k3Unl3H90f8AfQo8qf8Auj/voUAOD0u+oiko6gf99CmESDsP++hSGWN9OTLttFVP3nt/30KuiCTZjcFJ60AWCyxfL3xSeaMZzTFhUqFZunGanW1gI27mNMRHvHc0ZX1q15EajhQfrzQSo9B+FAFT5ScGpkCt8uaSQQn5iQPcVDGkSEupzmgCZoSO9RMqIMs1OYhl21D5SlduDSGI5QDAFRHGcYqYxKccHil8lSwbBoAr8HjAo47AflVgQIGLc0CBRnrzQBX4xnH6UqsF5qfyEC7eaDAhULzQBWZyTVu2U/eNIYIzjOeP8+tWVKKMDIAoSAbLIM7AarKcsTU5jiLl+cmpFMaDC8fhTArOwCkngUodNoOeKth1YbS3508xRlfmAI9hQIpF1HFAIbIzgDrmrDRQf3DxVZo42UjkA0hldvkOKaXqZ4kMRwxGOckVk+fB/wA9x/3yf8aAL++l31RE8B487/x0/wCNOE9t3n/8cP8AjTAu7qXdVQT2v/PwP++D/jTvPtf+fj/xw/40CLOaM1W8+3PSf/xw/wCNO3w9fPP/AHxTAsZpc1AGhPSc/wDfNSKIm4Ex/wC+aAH5ozUwtNwyJT+QppsRvCmZsnoMCkBZtBncauYpkaCNdoqSgBhFRMmas4pMUgMySFuoquyEdRW2VB61E0SmgZzu3Nzj0FSlKuxWr/apHdcDtVk247igDEYY5qHaTzWldxhSqL1NSfZQAAKAMnbSba0jbn0qFoiO1AFErTRyqj3q2UPpVdl2uq0CGODk1Hg1aK03FADQf3hFPkB21Gp/fGrDcg0AIvIzTZhmM5p8eCtJKP3ZxQBRcARnHqK1V/1S49BWVJ9zHvWnbnMeCaYFe1+65/2qt5NPtYkjUjrk5q1tT0pAf//WqakzDVMA4Batkfd/CsfUlzqZPo1bA+7+FIZgP94/WtW2+4Kyn++frWpbfcFAGgKdTVp9IBrfdP0qnD0q4ehqnD0oAsVKKi71KtADh1qxjiq4q12oATFFGDS4pAJioZODU/AqF2B96YEJqEfeNSk1Dn5jQA8HbIGpJbjHuaa54zVby3c+gpgV5HeQ46n0q7ZxtGhDdSaFjVBgD8anj6GkAk/+paqs4+dfpVuYFoiFGTTGtnlw3KkUAOT7tU5Nu87hV9YJQMEimfZFOc5JoAgtpMRyt6CsfkjmugW1CoyA8NUf9np6mkBg44quy98V0v8AZyHgE0f2ZF6mgDlyhPamlD6V1f8AZkXqaryWUStheaLjsc35ftR5ddD9kT0pRZp6UuYOU50RkHgVp/2ld4AwvHtWj9kT0pfsielHMPlM3+0rsHov5f8A16uJrUoXEseT6jip/skfpSfZI/SjmDlIG1mcjCxj8TUQ1WXOWjUj2q99kj9KPskfpRzByk1vdwXXy42t6GkvVnSLfa4yvUYqMWyKQyjBFXwcjnrRe4miC3cTQrJ3I5rJvLi9hmKo3ynpxW2kYTIUYBOcVHPAsgBIzTuBzv2++/vfpS/b77+9+la/2VPQUn2WP0FLmHymR9vvv736Uv26+/vfoK1vsyego+zJ6CjmDlMj7dff3/0FH26+/v8A6Ctj7MnoKBbITgCjmDlK+nS3lxNmVvkUc8Vp3khigLRj5jwv1qxFEsKbFH1prqCRnt0qhEFskqRDz23OeTVO61FYjshXcR37VfkJ24HeqfkJ6VLkCRmf2je5yNo/CnDU73owUj6VpeQnpR5CelHMPlMuTUb2QbVwg/2ar/aLz++a2/s6+lHkL6Ucwcphme7IKlzg1W8lvSul8hfSjyFo5g5Tm/Kb0p3ksecc10XkLR5C0cwcpznkt6U7yW9K6MRIDkjI9KvJbQMMqop8wrHIrGw7VOqt6V1P2OH+6KX7LF/dFAjmPLYcipU3fjXRi2j/ALtL9mj/ALooAy4J2Tg9K0Awcq47GpRbx/3acIVHQUALnmnijbS4oAKdSUtMApKWigBtFLRQBmMu+8BYEBRV0sKkIzUTIe1IBjYNQMB6U9iy1Azn0oGROme1ZsgPngVpEsaziCbmgB7AioiKtEGoippAVAMT1aIyKAvNSEcUCIYxgYpXGVpyLRKMIaAKUyHaMetWYT8pFQscjinxH5iD6UwJYmYE4NT+bJ61XQfMakoA/9e40SPcXTsMlen5U5fufhTwP3t59f6UxfufhUjMCT75+talr9wVmSffb61pWv3BTA0Vp9MWn0gEPQ1Shq8elUou9AE9SrUQqVaAHVcA4qnVgtkc8UAP4FMZqZuPakoACSajNOJAoCM/PQUAQkknC800QknJq6qBRgU7FAFURetPEftVjFLikMr+UD1oEA7HFWAKXFAEaxKvPWn4p9JigQmKXFLS4oAbtFB54FGcnApwFACBRilwKKhllCDA60MY2aUKNo61Sx3peScmlrNspCcUuKXFLikMFXccCrQhSliTaMnqalqkhNkPkpS+SnpUlFMRH5SelHlJ6VIBk040+UVyHyk9Ka0YA+Wp6Y1PlC5XFSYzTcU8CmIZtTOSKf5cfYUYNNCkdKVh3HeWnpS7E9KYSwpoLHrS5QuS7E9KaFXOQKUA04cU0guIeBk1Cck1KeaFQk5piAIMcil2L6VKFNPxS5R3K+xfSk2L6VaxUTDBpOIXI9ielHlp6U7FLUjI/LT0pjRKRwMGp6MUBcziMcGkxVqVAfmFV6RSG1LFIYz7VHRQmFjVVgwyOlLVCGXYcHoavjBGRWiZDQUUUUxBRRRQAUUUUAFFFFABRRRQAUUUUAJSYp2KKAImQGqzQ1epMUAZjRkVmRqWuW9q6JkBrNhtZI53dwMN0pARFKjK1q+UT1phgHpQMy8ClIBFaPkL6UhgX0oAzAuDTJh+7NaJgAqvPF+7NIRk44pQdrK3Y8VIUIFSxwrJH83rTAULzmn7akEYBp+0UgP/0NFf9de/X+lMX7g+lSJ/rr3/AD2qJfuD6UhmFJ99vrWja/cFZ0n+sb61o2v3BQBor0qSo16U+kAtUo+p+tXapx9T9aAJamXpUPepV6UAPqSo6duxQAtJkscLShC3LdKmAA6UANWMDk8mpKKKQBS0UUAFLRRigBKdSYpRQAtLiimk0wHcU3Jbp0pPvfSndKADGKKWmO4RcmkAkjiNcnrWeSWOTSu5dsmkqGy0gpRRS8VIxeDUsSZOT0FRquTgVdUBRgU0hNi0UUVRIUlLR1oAco4pSM0opa0QiPbTSmampKAK3lkHIp2MVKSBUTOTwq5oAKKjAuCegAqbyz3NAEZ9qAB3p/kg9zR5I7E0AJRigxOB8rfnUYW4B5wRQBIBmpgMDAqNWI+8MVIGFAC0opMiloAKawyKdRQwIKKCMGisygooooAKpyLtPtVymsoYYNKwJlGkpxBBwaSkUJVqCbHyN+FVaTNNMDXoqrBNn5G/CrVWmQFFFFMQUUUUAGaKSigBaSlooAKKSigBaKSigBaKKSgApDS0UANxjpRwadSY9aAExSYpeR70oINADCoNQvEGGDVmikBz81vIh2AZ9KmigKrg9a2MA0mwUDM7yqPKq+VFJigD/9HST/X3v4fyqJPuD6VJHn7TeY9v5VEn+rH0pDMSX/WN9av2v3BVCX/WN9av2v3RQBpr0p1NXpThSAWqifeP1q3VRfvN9aAJO9SrUIqZaAHVKqgc1FVgDigBaWiikAuaWkpwoAKKXFLQAlLRRmgApc02jIoAcSaZ97p0pev0paAADFOpKCQBk0DEJCjJqhI5c5PTtSyy7zgdBUVQ2UkKBS4ooqRiilpoqWNdxz2pgTRLgZPWpaKKokKKKTNAhaco71Hmm73BwKYFmiqvmSUnmSe9VcVi1Riqu+T3pd8nvRzBYsbacBVbfJ70m+T3ouFi3RVTfJ70b5felzBYt0lVd8vvSb5aOYLFulqpulpN0tHMFi3ikxVbdLSZlo5gsWsUVVzLTd0tHMFi5S1S3S0uZKOYLFl/Wo6iBkzzT6ljH0lJS0DClpKKAIZUyMjrVWtCqcibT7UmNEdJilopDE57Vfhm3jaetUKUEg5HWncTRrUVDFKHGD1qarRIUUUUxCUUUUgCikooAWkpaSgApaSigBaKSlpgFFJmigBaSiigApCAaWigBMkUuQelFIRSAKKbuI+9+dPBB6UwExRilpKQH//S0ov+Pm8/D+VQx/6sfSnKxF1dgdyP5U2P/Vj6UhmLN/rG+tXrT7oqjN/rG+tXrT7tAGmvSnUxelPoAWqo+831q1Vb+NqQC1MvSoe9TL0pgOqxkYqvVodKTAQEUvFLS0gDIFGaKUUAJmlzRS0AJkUZpaM4oATIpPvH2pPv/SpPpQAcUZpaKAEzVKebcdi9O9PuJ8DYnXvVAZqZMtIfmlptLUDHUtNpaYx4q2m1RjNUqM0CZf3L60bl9aoZo96LisX96+tJuX1qjTqLhYub09aC6etUqM0XCxc3p60b09ap5FJRcdi9vT1o8xPWqVHFFxWLvmJ60nmJ61TpKLjsXfMT1o8xPWqVFFwsXPMT1o8xPWqWaKAsXfNT1o8xPWqVFFwsXfNT1pPNT1qnmigLFzzU9aPNT1qnRmi4WLfmp60eanrVSg0BYt+anrR5yetVM0UXCxb81KPOSqmaKAsW/OSjzkqoDRmgLFvzkpjyIy4NV80UBYWkpKM0AOpKSjNADlYqdw61oxyCRcj8ay809JChBFNMTRq80c0xHDruFPzVkBzSc06kpgJRSUtIBOfWjB9aWigBuD60uD60tFMBOfWjB9aWigBMH1o59aWkpAJg+tGD60tFABg+tGD60UUwDHvRj3oopAJj3pNuOlOpaAGZx1pePWnEZpu1fSgD/9Oy5/0u4HuP5U6P/Vj6VHJ/x+XH1FSRf6sfSkMx5v8AWt9auWv3apzf61vrVy1+7QBpr0p4qNakoAWq5++asVXP3zQAg61OvSoB1qdelADqsjpVQEs2AOPWrQqWA/NLTBTs0DFopBS0CFzS0lGccmgBelM+916UfePPSnYoAX6UoFFFABVaefYNq9aknkMcTOoyQOBWEbhyclGP4UmUiznPJoqt5x/55t+Rpwmb/nm35VFiixnFLkdqrec//PNvyo82T/nm35UWC5azRVYSyn/lk35UvmS/88m/KiwFnNGar75/+eTflRvn/wCeTflRYCzntRVffcf88W/Kk33P/PFvyosFyzRmq2+57Qt+VG+57RN+VPlC5aJpM4qruuz/AMsm/Klzd/8APJvyosFyzmlzzVXN3/zyakzef88mo5QuWs0ZquBeH/lkaXbeH/lkaLBcmzRkVDtvP+eRo23h/wCWR/SiwXJc0ZFRbbvOPKNHl3v/ADy/UUWC5LmjNQ+Xe/8APL9RR5d9/wA8v1FFguTZ9KWoPLvv+eX6il8u/wD+eY/MUWC5NRmofK1D/nmPzo8nUP8AnmPzo5QuTZFFQ+TqHZB+dL5Go/3B+dFguS5oNQ/Z9Q/ur+dL9m1D+6v50crC5LRUX2fUD/Cv5/8A1qT7NqA7L+dHKFybNFRfZtQ9F/Ol+y35H8P50coXJKKj+yah6r+dH2W/9U/Oiwrj6XIqP7Jf+qfnR9kv/VP8/hRyhckzSZFM+yX/AKpSGyvj/ElHKFySjimfYr/++n60fYr4/wAa/rT5QuO47UA0n2G+7yL+Ro+w3v8Az0X8qXKFyWKUxtkdO9aasGGV6VitY3oGRIp/CtCzjljjIkbcSc8DFUhMu0lFFMkSilpKACiiigAooooAKKKSgAooooAKKSigB1JRSGmAuaKSjJpALS0lFABRSUUAf//Unl/4/Lj6ipIv9WPpUcv/AB+XH1FSRf6sfSkMyJv9a31q3a/dqpN/rW+tW7X7tAGmtOpq06gB1QN981PUDffNADamHSoamHQUgLKgAUtA6UGkMUU4U0dKcKAFpaSloELTDy2DT6j/AI6AJKWkpaAClpKWgAHSigdKQ0ALQKKBQMWlpKWgAooopgBooNIKQDqKKSgQtHWigUwClNFBoAMUlLSGgAooooAKKKKBjB9406mj7xp9IQgpaQUtACUGilpgFFFFABRRRQAlLSUtACUtFJQAuKWiigANNp1NNAAaSg0UgFpDQKDQAtFFFABSUtIKAA0zo3FPNM/ioAfQKKQUALRRRQAnelpO9LQAlFFFAC0lLSUAFFFFACGig0UAFFJS0wEopaKQCUtJS0AFLSUtAH//2Q==',
'description', 11);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 12);
insert into photo (Photo, Description, EstateID)
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',
'description', 12);
insert into photo (Photo, Description, EstateID)
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',
'description', 13);
insert into photo (Photo, Description, EstateID)
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',
'description', 13);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 13);
insert into photo (Photo, Description, EstateID)
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',
'description', 13);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 13);
insert into photo (Photo, Description, EstateID)
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',
'description', 14);
insert into photo (Photo, Description, EstateID)
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',
'description', 14);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 14);
use estate_manager;
insert into photo (Photo, Description, EstateID)
values 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',
'description', 15);
insert into photo (Photo, Description, EstateID)
values 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'description', 15);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 15);
insert into photo (Photo, Description, EstateID)
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gB05B7U22H7w/SppFmAyv8OTge9VrWZGkJfjis9mUXTSU4jBptWQJSU6koAbSA7T7U6mmkMkFFRqccGn0gHUUlFAC0UlFAC0UlFAC0lFFAwqu1sm7zIyY3/vIcfn61YooAYtzfQ/e2zD/vlv8ACp11KHpMjx/UZH5jNR0lKwF6O7tJfuSqfbIz+VSmONuoBrIeGJ/vqD9RUQtYQcoCv+6SP5Glyhc2TbQf3QPpTfskPofzNZQjkH3ZZB/wLP8AOnA3Q6Tv+IU/0pWYGl9ji9/zo+xw+/51m773/n4b/vlf8KN95/z8N/3yv+FFn3A1BZwDsT9TThawDogrHP2lvvTv+GB/IU0xs335JG/4Ef6U7MDe2xRjJAUe9V3v7KM4Mq59Acn9Kxvs0Gclc/Xn+dSKiLwoA+lOwFxtVjP+pjd/w2j9arveX0v3dsQ9vmP9BTKTNOwEJhDndOxkP+0c/p0qXgcCim5oELmkzSZpuaAFzSZpuaTNADs03NJUMkm3gdaAFkk28DrVcepoA7mlJA60DFFOX74pop643imgLi06kXpS0CF9qUCgU4DHWmIAO5obB60hb05pAKACpFX1pBgc04AnlqQzGuv+Phse38qbbrucZ4A5NOvP+Phvw/lUCk7do70wNmO7j2kn5VU0f2hGTjnHqarWsSM21xnIJxURtWMjHGFWkgNCO6SQg4Iz2q59DWAx8kgA8n0rVs3EkVMRZz+tYN3KWcr3rfVeprmZR5lywAzz0oAnt8KVI7kVsTThEwOM/wAqoLH9kAaf8AP61C9yhYnnGKALbZmjGARtORVSUxEEMeah+0lcY7Z/WoQN7GSQ57+5oAnt4RJ83QAjitK2jKg4GPWorYAD2q1G2Wb61K3Gf//VyoJjM4jxgmptwzj0OKp2H/HytWG++f8AeosO5NUkf3xUOakiPzikUJmlpopaQDs0maSlpgLTSAaWigRGQaZnmp6YVBoArsaZ1qVlIqMdaYhpFJnFS4ppXNADc1Mp4FQFSOlTpFIQDimgHrUgJHSm+XIASRTQaALCtn61IoLN80rrn0NVhTw+B81IC9EJIptiuXyMkN6diKlMUc5MiDbJg5B71VikCkMeQOlWpGRl3KcHsRUlIdCG8hdwwQO9KaezENh+h6GkqkSNoxS0tADKbUhFMNADCKcpzwaQ03pyKQyWlpoORS0ALRSUtIAooooAKKKKACkpaSgAooooAKSiigApKKKACkoooASkpaSmA0OCxXnIopO5/CkoAXNRq4YZGfTmnUwdPxNAC5ppNFIaAGhwwyKM0g/rSUALmkzSVFJJjgdaAFkk28DrUAHegDuaf8qrkkf1/KgBpIFSxRB13v06YqvEGlbPRR61pKMAL0xSApdDTl++KD1/GgffFNAXFp49qRRxS59KoQoIFJnNJ9aWgQgzUirxmgD1p+DSGKMDpS/Wk6UgoAxLzP2l/wAP5VPaqrAcZIzUF4T9oYfT+VWbHA5J5ORSlsOO5PEBHcfMcY/wrT+UxkEVkzMPNJU557VpKAY1wfelFg0Y1xjzWYccdP0qzph+Ur2zSJa+dI5kPSk05Tvb2qyTWdgox61g2aD7Vl+2T+Nb2xSS3cjFZHl+XJuXrQBoSWsDtlxlj71my2ifNJGoAxjGf1rWVhJHvIpcqB09qBmAtu+/bjpViKyJ5fj0rWCAkN60MMDAoEVEgkjPHSrIA7etRrKQCG5xSRM75J4BOaBn/9bEsf8Aj5WrDffP+9Vew/4+Vqwf9YR/tUdB9R9Pi/1gpu09qdF/rADSKGAmnZpopaQDqKbSg84oAdRS0UwEoopRQIZUZUVLTTQBCQRQvJxU6qGOGYL7nP8ASkKKrcEN7jP9RTERkVfiHyD6VUIq9EPkX6VaJY9R1/CoJIA3I4NW0HJHsKUihgjJIZDhqRulaTICMGqE8XlruHSpaKRGrlOn5VbjkDfd6+lZ+alhPzfhUFG6kqSjaeD6U0gp7j+VUA3PNXYZS52tz707isSrzyOlSgCotpB3J+VSI4bp26igBGXHIqE1b4PHWq7DBxQgIqbTzTaBDRwc1KOajoU4OKQySilopDEopaKAEooOe1BGO4P0z/UUAFFFFABSUtJQAUlLRRcBKSloouA2ilpKLgJSU6kxz6UXAZ3NJT9gzkOO3HOf5YpuKAG0wdPxNSYpoH8zQAw02pcUm2gCAf1pKmC/zqOXKLkd+KYEDvj5R1qECnBaax3fIueaAGvJjhafb255d/TA/GrMdqqgF+tWQOMUXEQABeccD09KnHrSYO4Ae+acgP3e4oGUiOT9aQffFTlFwxLAY6defyFQqMyCmhMuDkUoHpTwtJtIpiG8CnKM0Y9aeKAFA9KXOBRjHJo4oATilHHWj2FGAOtAGVdRZkaTPXFVY2C4OelaM8bSyFRxVKW2aPqKlO+hWw9ZIg4ZRz61Z+1ZXy4R83r2x61mKuWAFalrasvzt1OQBVJWJbuaCDZDhf4u56moLJQHfHrVl/ljCnmmQBVDkcc0wLPuKzShaQsvNaG7nHtVVSC7eg/nQBOmQB/TpTyoJyaAcjIopCF6VBMWxgVMaY47UwIUQJGXfkn1psYbaAM1bzgVEv3evSgZ/9fEsP8Aj5WrJ/1p/wB6q1h/x8r9asOwV2Y9ASeKOgycn0p8Qw4qBJYX+44z6Hg1ZjDBxkVJRDtBpCCBmnjtSMcg0ARg5py9aYKevWmBJRRRSASlHX8DRSqOfwP8qYDMUmKdRSAjxSgU7FApoQEVejHyD6VTNXYvuD6VoiGSxj5j9B/Wn4pI/vH6D+tPoYIjK1XuIw0eD61bqGYfJ+NSyluZn2dexNT2tsjyEMSOKWrNp/rfwrNMtkn2OLPU1JHbpGcqT+NTGiqJEprLn5hwR3p/HQ0EYB+lADlPGaZIO9OXpQeRigCsabTzTaYhtJTqSpZQqnsadUdPHNSMWloooAKSlooAKKKKACkp1FIBtGKdRigBuKMU7FGKLgMxRin4oxRcCPFGKfijr0ouBEB8xoxUgHJoxRcCLFNA4/E1PimAcfiaLgR4oxUuKaRRcCMDj8TUFwP3YPvVpR3PqahuPuD60xGUSzMFXpkfzrUECx/MOo7/AM6zYQGmUH17VvbeacgRDjJzSFfmqVRgY9KUjg1NxkQGSaCCpDjt1+lPiH7sE9TyfqeafjPBouBnOOtRJ/rF+tTMOoqJf9Yv1q0JmgBxR0oBo+lMQAZoApcfiaX60CEz6UdOtLj04oxjpTASge9LgfWlHFAEY2bjjqOtRY81dvc/409Q3myMenFNjYYGBjtWa3L6CRWirkNjqKvAYFRouGz61Mwyc1oQMcZAHWm7CM08nHNKOVJ9aAG8KMn0qmZVDqvdjir20befSsCeRhcKRwM8UxG8vIpaZHkKKdSADzSNwc1FNIY0yvJoBJJzQMk3B+B0qN1Aj2ioy2CPUUA/u+fWgD//0MSw/wCPlPrU03V/xqGw/wCPlPrU03V/xo6B1M7FPSSSL/VsV+lJijBoGWVvZBxIob36GrAuYHGCSh9+f5Vm8UUguaiqTyuGHtzSqfmrKGQcjg+1Trczr1O7/e5/+vQO5p0VTW8Q8OpX3HP6H/GrCyRP9xx9Dwf1oC5IKevX8D/KouVbBBHFSp1/A/ypDEpKKKAExQKWkFNCY41di+4PpVI1ei+4v0rREMlj+8foKlpkYyx+gqQgjrSYIbUMw+T8amqGf/V/jSexS3KlWLX/AFv4VXFWrUfvN2R0PHeskWy4aSlNNqyQpccH6UCl65oAVfu0hpV6UjUAQsOaZUjVHTEIKUilUZOKmKDbkVLGirS+4o70oqWUOBzS0zpzT6kYUUUUAJgcYz75x/hS0Dk44H1ooEFLSUtAwooooAWjFFLQAYoxRRQAbeef0pqAYOPU9frT+RjpzTUPH4n+dABgZNGKgSUNdSR9wq/1/wDrVPmgBMU0AY49TTs1WtZPNjZl/vN/PNAE54puO5pwHPNFMRGPb1NQT/cH1ot5BIjEdmb+eaWX7o+tMDMhX5x9QP1roAKwY/8AWL9R/Ot45DfWnISGMMOCO/FEqjaFXOWIHOPx7elOYbgRTRl2VuwB/OoGIgwSPUk/rUgqLnYSOoJ/makBoGZr96hX/WLUkpxn3NMX/WLWiJZeFOFIBTxTEAyOlAFHAo5NAg470HnpS0cUwGj2o70vJpQBSArZ+aUL14/lTYTlaawO+XBxnAz+FJEc7cdzULcvoaKcjNPOe1Rxk4xipRyTWhBDK5xtAOSacrAoNuDVa4cq8e4/LvH8qyFu2SQ+maAN6WRY4yznAxWD5yyEEjoR/OmXNy0ny54znFQQbmlVRzkigDq1XaoFMkGV2ipSPWoyATzQIrPnvzjFNVicmpZME4FMUfL+NIZGVJpCCEPpUrDqMU2UfKAO1Az/0cSw/wCPlfrU03V/xqCw/wCPlPrU83V/xo6AUaTNFFIYhNNzTtppNhpgANGRSbTRtJoEO4oxSbG9KMNQMkSSWP7jEe1WkvXX76hvccH/AAqmA3pS4PpQBpLcwN3Kn/aHH5ipwNw3L8w9RzWNSDIORwfalYLmzmgdazVuZl+8d3+9z+vWrC3kZ++pU+o5oQ7lw1ei+4v0rOWWKT7jAn0PB/WtKIYQZ9K0RDLEX3j9BU9QxfeP0FS1LGhCoNVrlSsWfcVbqtdf6g/UUmNGaCatWh/en6VUFWbNlMpwegNQi2aJ602nU2qJFFL2NAoPQ0AOXpTWpV6UhpARmo6kqPvTEOUVMDxzUWcVIOlSyiu42tSgUOSDz0qWNdyk1IyGk6HFOxSDrSGHNLzS0UxCc0c0tLQA3mlpaKAEo5paKADmjJopaBiZNGTRRQITJqCSYQRGRvU4Hqc1YrC1B2Moj7DPH1NNIGyuly8dx9o6knn6GuhRhKgkQ5BrnHiKwrJ/fJ4+lX9Kdh5kR6DBH41UkSmWb2fyU2A/MwrNsboW8m1/uP19j61BNI0tw5bscUXEXluF68A8e9CWgNnUAVSvbgQRbR95un+NQWLs8C7u2R+VZc0jSXDlucHFJIbZJZ3PkSbW+63X2962ZPugj1rCniMcmMZ4B49607dmazUt1DYpsSI4yQwTjBIPQZ6+vWthievpWTEylxWuaUhxEyaYuQxHryKeOB9Ka3ADelSMRScfif50oOOKFBwfqf50Nxgj6UAZMj7pMDoDT0/1i1Ef9YfrUyf6xfrVoTL4pRQBmlwKYhuRRk0vFKDQIBmlPvRmjigBAfSl/GkFLzQBSl2K7bjnPOPoKr2zgqGPGWNSzxB5sk4HOaowFd5TnAbIqVuUzoFNODDdgVDGeOKmUd6okoX6MY1YdmGawSPmya7AgHGaxNRt0jZZEGM9aYGSRuPFbWn2ZjPnvwccCqtlB50m7+FcZ/z+FdCaAI2NQSMQBip2OOaruORmgBijPJ7GnHBzimoRyKY7bW2+tIY4tzTXyWpUYYpsnrSYH//Sw7D/AI+U+tTzdX/GoLD/AI+U+tTS9X/Gn0Ao0maU0w0hkgel8yoaSgRNvpA+KjooAm82kMlRUlAE4lxS+dVeigCYvmmZFNooAeKWkFLQMTg1u6XxC31rDrf0wfuT9aaEzTj+8foKmqGMfM30H9aloYIUVWu/9SfqKsiq11/qfxFSxoyxWPIcXkgH94/zrdVawZf+PyT/AHj/ADpRKkdHeZFrAR6Vej/1an2H8qo33/HrB9K04/8AVJ/uj+VVIlDRS+tPpp71IwFIaUdqQ0wIzTacaSgQlTL0IqEVMvQ0mURNycU+LgED1pp6mk3FIpHHVQTUDHhMk1B/FVhHVjgdagbh6SGLRSfjRketMQtLTePWlyPWgBaKbketLzjNAC0UgoJwKAFzRmrCngVKKAKORRkVocUfKBk8AUBczwaitbgspeM9GIzgev8AhUF1qUbnyouE6M3cj2qkLqKGYtbDCk8qfSmBum6uP736Cmb/ADHzKSaiWaOW3aaM9OCPSkhOfxoAc2rW8JaONWUjjgDtVZdYl24dmJ9gKyrj/j4k/wB4/wA6hq7EGmb6MtuYMSakTVfLGI8j8BWRSHiiwXNv+2nxgs34AVC9/HPwA2c5JNY5p0H3z9KGhplxGCEsfUflnNaH9oQqoJVv0rNI6/SoWX92vt2+tDQrmt/aEBBba2BjtTl1CF2ChW5+n+NZK4VQp6P1+nSkjG0M3cDH4nj+WaVh3NNL6KNFUhjx14q7FKs0QkUEAnHNc8AWTA6jp+P/ANet634j2Doh2/iBz+tDQJkbXE2CmeOnQVWT/WL9ae3U01AfMX60IbNAZpePrSADvzRx9KYgpBjtzRx9aXn6UCFz6Uhx3o+ppeBQAn0FGKTrSj25oAyr50Rtg+8Tk4+lUITiXjvU99/x8t+H8qrRnEgNCGzoIW3BV9BV3jtWVCxVgGPTFaOVU/MetAiWoZ4lmTYetVZr1N/lQ8kdTWc87xvvVsigDYRYbYbQQCanBBGRyDXNS3DzHd0I5psV3PD0bg9qAOlYgDmqcrZIIrLlvZHA2GpknEqk8/LxzQBbVsMc9qhZyDuqDzC0n1qVlJJFIZJCWJyaVicYoj+X8aNrnlRmkB//08Ow/wCPlPrU8v3n/GoLD/j5T61NL95/xo6AUjUZp5phoGNooooEKKKKKACkpabQAtFFFAC0UUUAPFOFNFPFAwxXRaWP3Fc9XS6UP9GoQmX1GGP0H9aWngcn6D+tIRTAaKr3P+r/ABFWOlVrn/V/iKljRUWuem/4/ZP94/zroBXPzf8AH5J/vH+dKJUjor3/AI9IPpWlH/qk/wB0fyrMvf8Aj0t/pWlH/qk/3R/KqkTEfTT3paT1qUMKSiimAw0lONNoAAKkHANRinjvSYxpHNNf/j3l/wB0/wAqcetJJ/x7y/7p/lUDIYpFN55Y/uk1I/36zbIltUc9gp/nWm/36AI2GXpNtPbiSnH+lAEW2nbAacR0prcUxCeWKVBgNTe1JH/FQBJSHpS0h6UDLaYwKkBFQp90fSn0gJM0yaMTQtDnG4YzS5pc0XEZa6NagfPI5Ptgf4059JsnPLyfht/wrSpvenzBYpQ6dDbhwjMwcAfNjt9KUIEcAVcfhTVIn96v+fShAYFxnz5D/tH+dRVLcf8AHxIP9o/zqGtCRPaj3oooEMNOh+8T7U00RfeP0oY0bE9o0KbnYcnaOvU/hWfnc7KO/A/DpXVsu+0OeWwefcVyUQ+YE9uT+FACyY34/u8fl/8AXpzn5B155P8AKoyvzYXv0/GpWG7eqdE5GPQcH/GgAgB3ls7QoJz/AC/WtaxBEJB67zmscErER/ex+QrXsH3QgHru/pikwRERyaan+sWnt1P1qNP9YtJFM0KMAUDOKWmITJoBFKPpS80CEHtQaUfWkbNMBPpS/WmU8ZPSgDBvv+Ppvw/lVMEg5FW78YuW/D+VUxSA1AcMM9sVUnkbOBVqJ1ZAfQYxTfKRslqEBSRHb7ozV8WU7kN09jVyGSOIAcAmrX2hckjnFAGONNuT1HFNezYHBBJAHStoT8DNU57rZnb16EUAUBaPtX5uvBGOlPELW6sCRya0d48sMR1qrKwxgc0XAhAJbIqRiVxmhRjB96WXLcdhSGSx5JyatDjioEAAFSg5/ChAz//Uw7H/AI+U+tTS/ef8ahsf+PlPrU0v3n/Gn0DqUTTDTjTDSGJRS0lAgpaSloASiikoAKWkpaAFpKWkoAkFPFRinigY6uo0kf6NXLCur0j/AI9aBGh3P0H9aMUv8R+g/rS0ARMMCqVwTsx71oMOKzbslUyPUUPYaK4rnpv+PyT/AHj/ADrcDnGeKxJRm9k/3j/OpiVI6G9/49IPpWhGR5Sf7o/lVO/TFpB7VajJ8pP90fyqmQiTIoyOaZk0o60hjqSgUUAIabTjTaBiilpBS0mAh602X/j3l/3T/Knd6ZL/AMe8n+6f5VJRBbqi3ZZe6n+dWG+9WfZhxdfN/drQb71IBr/fB96kIpjfeFSGgBCOlNcU89qaelMCIjikjHDmnmlhHySfSgBKa3SnCmt0oAnEsYwMnj2P+FBmjzgEn8DSl5xKIww+bJ6dKp3F/c28vl8HjNOxNy550fT+hpRcQ98/kayTqk+c7RTzf3AUNgc5pWHc0/Pi9T+Rp6ujHC1kpfzN1xVuOdydxI6d6lhcuSf6s1QB/fLVh5WZDuwBVQMPOUjJ+gpoDGuP+PiT/eP86iqS4OZ5Ce7H+dNVkXBIz6itGySOipBGzEkDH1pmFwSc/hRcQwgnoKamQSfapyPM+ZRtwO1N2mM/NyMVPMM7ORGAkGPl2kj6kYrj+iF/7+P8TXVLKIrdoZ5FLLHyOc9OuT1rkj/qlHp1/GqAljIx5n9z/I/WmxOEkDHkdD9Dwf0oUDZgjljx+A/rUJJHIpgTSABtincF4yO/rWtYEi3DAZw5/Lisdiz4dvpn6CtW0kWO2TecBnJx3IxSYIGIyfrTEz5i0xWALDsTTk/1i0kUzQBp2aapp2aYhNxoGaNxpRk9RQAtNalyaRv84piEGaUH1NNA+tKPfP50AYeof8fB/wA9qo1oaiB5wI7is88UgLlkcy7PUVp+WpyCOlYtvKYZQ47V0GVZSRxkUAY0/mRthjkdqfbTKI3BOD1FWLhBIu4CqqWcrDKrkmmAx7p3PtUIYk+uasvYzIMsP1pY4iD8w7UgLJkKoB6VGW3HLUMdpx6UHB5oAkDbiQPrU7BQOetVIjlyo4q4yDbk9akZJ5eQMHrUqKqLtFRoQBk9KdvXg+tNCP/Vw7H/AI+U+tTS/ef8ahsP+PlPrUsv3n/Gn0DqUTTDUhphqRjaKKKYhaKSigAoopKAClpKWgApaSigCQU4U0U4UDFrq9I/49a5Sur0j/j1/GgRo/xH6D+tKKTufwpRQAGsy/H7kn3FalZ1+P3BPuKBmLu4qg4zfuP9o/zq2TVbH/Ewk/3j/OpQ2dNqQxZxe2KfH/qk/wB0fypdTH+hp9RSRACJceg/lVMSHUDrRQOv50kAtLSUUABptONNoAUUVEZERvnOOlSZyMikxi1FMf8AR5P90/yqSoZs/ZpM+h/lUlCIuLjd7EfqakJ+ambszjHvTsr5m3Iz1xSAVvvCnimt94U4UAKe1NNONMpgIelOi+5J9KZ2p0P3JPoaEIUdKY1OFNJpDLbj/So/o39KxtRH+lH6Ctt/+PqP6N/SsjUR/pR+gqmSjNxVhh+6X8aZgVMw/dL+P9Ki5VisOKuxN8oqnirUakRl16DqaTFYtq/agf69SfT+tVYpFaUIDk1bH+uWqiBhz/8AHw5P98/zpilSCD+FPn4uJM/3j/Ooe27pVtEExLbB1OOelMZsSE+tJuYjHIFMPzE5qEgJFbBO3PPaoyxChT26io9xXOKMkkk8j1o5dQNiQOY/9KX52AVWY+h9u1ZgIZiB/F0/pXXyQq1qYjgMAVzjsMmuOjGHGf4efy5rRDHyEqwVf4AB+PU/rTyFVGYdGPy/Tr/hUL/fJH1z9eamkULhe68Ee/WmAsIMiPCOSRuH1X/62a01AMI8sbjG5CY9QP8AHmsuDCsZD0QZ/HoOnNa2nHNuP98/ypMEUFJzzwe9TJ/rBTCo3EgfxGnr/rBSRRoDp3pwx6imD2FL9aZI4UcUn40UwFHtSN70vHekOKAGcHtRinAjsKXJ9KAMbUFPmLms/qa071i0m3pgVnYpARVqwyszKh6jg1lGpYZDHIGoA6JIyevSrQYLwKrpJvxjFDMF6UwEkGVBqsy45B5qUtwAe9VZgcg+lICNxk4JpMcEe1G/DDNO3AYPtSYIbEMSA+1Wiw6++KijdB8zjqOKbMwSTJ5B/nQBc3A0zardOKiZsFWxwev40hk2EKPzoA//1sOx/wCPlPrUsv3n/GobH/j5T61LL95/xp9AKRpppeabSGJRS0lAgopKWgApKdijaaAG0tLg0YoASgUUUASClpop4BoGKK6vSP8Aj1/GuUxXV6R/x6/jQI0e5/ClFJ3P4UooAWqN/j7MSfUVeqhqIzaHHqKQ0YR8scGqoH/Eyk/3j/OpWBOTTF/5CUn+8f50IbOo1P8A481+opsePLX/AHR/Kn6n/wAea/UUyP8A1a/7o/lQJCmgdaCRQMfzoGKOtFHeigQlJS0lAxq/f/KnGkA5zQaTAWonXfEyeoxUnNJ2NSUVlLCYFu+f5Vjsl9DP9slU4JznOePSr80mHyDjaKRrvdEQyvgjB4NCA02+8KavX605uWGKAMdaQD/SmGpWAHWoz9KYDD0pYuEf6UjH2pY/uP8ASgCa2RZZdjjjBpUSAJNJNwsbEZ54FFl/x8fgaq3L40+9P+3j/wAeAppEseL7TGYHzTnoCd1Rm40zrcsS5/3jXMRQyTErHjIGeSB/OrV1BINrDBAUA49aYGr5tk7ERcgH9Pxp4aAjBWsSyfbNj1GK1/LkbkIfyqWikTLHA3RalSCJXMajhuv5VWEdwvRT+YqbMok37SBx/LFFgGiGGOf92uD65p//AC0BqqZx54P+elTh9zgjtQBiXB/fyH/aP86hHJwO9SXB/fv/ALx/nTYkkdgY1LYPYE1oQSSbkPlk9PlP1queDirkkM0iySBCQXJ/nUTWlzknYxB9OaSAaiHyyx6HgVAcgnPpVwKyQhXBU5PBqswy2PUGl1Gd1LGdskmePLYY9/X8q4gnCb/74H/1/wCVbL6zOyMhRcEEd+/41hsMRAHtg/gwzVCJIwGKFui5z9BzUZbcSzdTzT48+U5zjPAHrjk0kcMz4aNGI9ccfnQA/OyIL/eOT9BwP61p2DlIfbcaotbXLHG3O3jj2/Gr1ussVvtZDndnFJgiup+dvcmpE/1gquhLHJ781Mn+sFCKNEE+tOzTVJ7UvJoJFpM/SlGR2o3UwChjRuHSkbNADc+ppR9aSjn0oAz7mMtKSPSqDI2a2Gi3MWz17YqE2vOQ36f/AF6EBkbCTj1prxlHK9cVrGyJOQwphsJSc5FAFa3nKN82MVbadpMlOnaovsE4ORjipfIugCNoJPegQsMjuMueBSO24ECiCG4jyGXg807y5O6mlYZRJbvyKkDEpg1OYnH8JH4U1kO3AB4PoaTAH/1anHbGKZPyc4qUjK4IP61GTzkigCVSSm005kGNvNRF1HfrSmUZ60Af/9fDsf8Aj5T61JL95/xqKx/4+U+tSy/ef8afQClSU6jFIBmKULmnYpwoAaEFKEFOpaYDdooxTqKAI8UhFSUtICDBpMGrGBRgUARqKlFJS0AIa6nSP+PX8a5Y11Oj/wDHr+NAGj3P4UopO5/ClFAC1R1HP2Rseoq9VHUP+PRvqP50DRzhDY571PaWjzXLzluTlsY9xTD0GfStPTR8zf7v9RUjZeuj9oiEIG3GDmmrhVC+gxUhAJOeOn8qPlFMRGaB2/GnMR2FNByaYC96Wk7migApKWkpDAdvrSGlH9aQ0gJMR96jIGPqacCaaP61Ixn2SAgtg5PvTTawbcbc8d6tfw0ymA3niilPagVIx77c5AxTcrilPI5pNo70wIzQh/duPWpOBTAeGoAlsyFn3H0NUpdstndoD998g/Q5/LipzyKxXQEnJ7mqTE0QwWWoMvmW6ZB4yCv+NRlb4rkqxH4VfgdLQ+arsG/ujofrWxZL50QGcYXNMRhaXbutwZJUI2rxn16Vv5JqysHP3v0qJvlcp6U0IQKO5/Klwo9aSkpiK0lpBJJ5pLA+2KBbRr91j+IqxSUWC5zV5azRSk/eDkkEVtbdgEaDAUYFWM804uO4pDKihvIIx/nFOUnaPpUoSP0p3A7UAVJbRrhtzNtH5mo/7Lt+rSMcegArSptFguUjp9r6v+lRPp9uxYh2G76VoGojTsIyJ7MxKrRtuCckEYzzWuMBAo6CoHpgkBweRxjr/jSGS8hyezc/jQCc/SqbXbCcRYGMbs1p20Pm27zFsFcnH60gMUffP1qRT+8FJxknFCn5xQM0VOaf1qEYI6U7igRJg+v86TJ7kfrUecUuTQA/I70jHptpu4igsaYBk/5NGTTc+9GSO9ADskdjTt1Rg+lGfegCTJ9qMimA+9O5PSmAtHFJz7UvPpQIMGjn/OaUZ+lGaAEo5pee1Lk+lADee5oBHtS7j3GKN3tQA3A7ikKp/dFO49KT5fegD//QwrH/AI+U+tSy/ef8agib7NPludp7Ury7ixA+9n9aYEGaTdQabSAeGpwNRCpBQA+gUlLmmAtFJuFJuFIAJxSb6QkGk4oAfvFG+mikoAduNKCaYKnS2nk+4jH8KBkea6rR/wDj1/GsVdMuCNzlUHuf8K39NjSKExo4fB5IoEXe5/ClFJ3P4UooAWqd8pa2KjuRVyq11/qfxFIaOfliaMAnoe9aOmdW/wB0/wAxRKN0YHuKmsU2SMB02/1FJFMsHqfw/kKTFP7t9f6CkINMkjakHWnFaaOtAC9zRR3NFABSUtJQMTNFFFIBRQP60Cgf1qRj6SlpO1MBp7UoFNY0BqkY/FGKZmjNACkUwdGpxNNX+KmAp4HFYpcZPXr6VtGsRup+tNCIHPNathex2kRMoJB4GPwrPe2nJ4U04xSeSEKndk8flTA34tTgdWkCtheucVHHcJPK2wEd+ay4UKWMu8EHPf8ACrGl8mRvZf600SzTpKWkqhCU2nU2gCCaVYUMjAkD09+Kp/2jD/df8quTgGPn1X+YqEqQcGkxkI1KEfwP+VOTUIXcIEfJIHSpQKeincDQBZNIaWmmmIaaiNSGomoAheo1XIFSjBbDdDTvLAHymhgYssqfaS7DhBtPuc1pQ6pBbRyQsGO9eMY7j61nS2lz9oZwuVL54x61oXcaGF2ZQSFODikMqBweR3pyf6wZqLnA+gq3EmPnPU9KQyfkdKXdTd1N6mgCXJpuTmmGQDihW3HkcUAP3gU0yKehoAGaPrTEG/0oDj0owppuwetADwymnZ+tQ7T60YI6fpQBNmj6Gogx6c0uT60AS896QGmBj608MaYDgw96duHrUe4e38qUe2aBEgPrilyDxx+dRc0v5UASYX0owvpUXHoKMj3H40ASbUpML703J9T+VJuPcigD/9Hnp/8AXN9aZ2p0/wDrm+tR0ABFJt96WigBABTs0g5qVYJm+6h/lQBHk0lXFsZj94hak+yQp/rJPy4oAz6PpWgDZJ0Ut9ad9qC8RRhaAKqJcFdqJ19qlSwmb7xC/U/4UrXM7d8fSoyWb7xJ+tAFn7JbJ/rZvwH+TSE2KfcQv9arhRQRQBZW7Kf6pFWg3Ny/VyPpxUCIzfdBNTxwlm27gD+f8qBkRBbljk+/Nb+jjEL/AO9VNbOMfeJb9K2raJYYFVRjPJoESnr+VKKQ/wCFKKAFqjczKcwr1BGTV8Cuf35VpD/ExNRJ2KiieXOwfUVYs/8AXN/u/wBRVUnMQz2OKtWf+ub/AHf6ihDZZX7zfX+gpeaF6t9f6ClqiRhGajIqaoyKAG9zSUp6mkoAKSlooGNJbpk+lGSepzQaBSAd9aQf1oBppYCpGS0lM8welG/2oAc0si9GOab50/8AfP50zHc0oFK7HYd50/8Afb86PNn/AL7fnTaKV2Fh3mz/AN9vzppLscsST70lANF2AAH1rJK/eJPQ1rggnFZqgMW6de9XETKpZ+xP507c/lA5OQT/AEqw1u554qOONnTaP739KbQFczTCNkJJBHfmtbTEdI33qVPHUe1ZEpUKy9xkVq2+pQuirM21wBnPQ++aaEzSNJUayxt91gfoaXdVEi02gtUTSKOpFAEd3zayAf3TXPpfTLw2HHvWleXsXlNEhyxGOKwwrMRgE0mM0o74swQI2T2U1ctp3acIwdev3hx0rFSO5Vg8asGHIIBroIL2SRAs8ZVh3xwaAL2aTNQ+ZSb6dwsSE1CxpC5qIlvSi4Cj71SZIqvHnf8ANx6VMCCeaBEik45p1FFACDA4AxSEA0tJRYCPyox6n61DKQo44qc1SuHAU07ARbs9DU4+UAVUi5PSrlSMeAQNxHFGauKPkA9KqOpVvagBAeaWos0uaQx/PelqPdS7qBEmKTBpoal3880AJxScU7jvS/KRjFMBu8ClyO9O2jHFN8vvxxQAfTNLn1pgFBwOpoAlGe3NISe4qvuLNtTHHU0/Lr0P+fzoAlB9vyNKePUfWq++T0Bp4LemKAP/0sKSGV5WKqSM9actlKfvELUklxIrFFwAKgMkjdWNAFj7HEnMj/0o/wBCToNx/E1Vx60YoAt/alXiNMfpTGupm6ED6VBiloAC8jfeYmk204Ak4HNP8pv4sL9T/k0AR4oxUu2MdSW+nH8/8KcpGcIo/Hk0DIlUscKM/SpVibuQMep/wqScHcVycA9KjiUZP0P8jQA7EQGclv0pnmHPyqF/X+dPRRTSMn8aAB8uRk5q3ZxgSg/WqxUDGKvWn3xSGamMdKup9xfoKpGrqfcX6CgTA9fypVpp6n8P604cAn0piKc07LvI6AEfpWQT8gUelaEoLxsB1NMkij8sBeq/rUSRcWRDLJx/eFXbQETN/u/1FU4/uHPqKvWv+tb/AHf6ilEbJ06t9f6CnUxOrfX+gp9WQBFRkVLTDQBEfvGm05vvGm0AFFFFAxtFB45NReZn7tSMGck7V7dTSCgUtIBwopKWiwxaKSgUrALRRSUWAKSloFFgGc544qJYVO7jvVgdaB3qkJlcooGMVSMUoQqCOTWpmmZ4obBIxpkkSMlsYPHas89fw/pWtqLnCJ9T+lZiY81c9ytNCZoWlqk0jqxICADj16f0rQFhGOkjj8R/hVWxDqjMQRuP9Ku5epd+g1YxdrmcQs7f6wp1/KmSp5Eu3ngZ5q1Pbz+a0iKT8ysOnUUt7G7sjhSeoOBVCMuTBkYjoTXQLIqKqKPYVmrBEIhIwIIHP1p7tmmhF4ykclaYZxVcTY+9zxioi4xTsFy55/pTfOqmGoLelAFoz0hnNVC1SQp5rY7DqaALURMxK4zirgBXtmhNqLtUYAp26nYQwsaAx707Io4pgJnNNLYqTANMYetAhrHisq4bc4UVdkOwYrNjJeRnHPahgWYR3qyp+YLTFG0ACpowS1SMuA0HB60gGKWmAnloe1MNvGfapRS07BcrG1H8LfnTWg2jg5q1moXNFhXKhyODSCmu+Xx6U4GpKHZ7UZoOKSgBc0ucU3pzTSaAAvUDtgZq1HDu+Z+npUzJGRgqKAKsIKpz1PJqUDNI21elANADTnoKQZHU0uM0vQ0gP//Tw5f9YaZVuRY2bJJBHXjNRjyh0XP1/wDrUDIakEMh7Y+vFP8AMfovy/TilTlwTQAwRoPvNn6Cjcg4VPz5pQKQjmgAMkhGM4HoOP5UwCn44oA4oATHFT2wBmTPY5/Lmoqnth85Ydlb9Rj+tACNzknvSRfeP0P8jR1zSxj5vwP8qAEz2FMzipACDSBc5pDEHNXrQHeKrooFXYFO7OOKALxq6v3F+lUTV5PuL9BQhMRup/D+tB/1bfSg9fy/rTJXwu0d6AKLnkL+NKBkUhG6TFVoJJftbQu2UYMVHpjJoAlA2pg/3qt2v+tb/d/qKrxxPIHK4wGGcnFSW80STEFgeMcc1KKZbTq31/oKdUImhUnnqc/pR9pg7t+lUST0w9qWN1mGUOQKYzorhM80ANb7xptOb7xptABSEgUhIFR8nk0DGNlzz09KULTqKkYgFGKWloATFLiiigBKMUtLQAlJS0YoASkp2KTFACDrSDvS96QDrTQiPHrTT6A08rmoyDilYZDJF5uFbpnn8qlSOJPuKB+FIKeKaEP3UoJpmQKTcKYElNNICe1Lg0CImjU9arm1j7Z/Orm00FSBzQMom1j96b9kX1NXTmkFAimLRB3NL9lj96tNjFMzTArm1j96QyGEBQPlFWOtMOM4oARJ1boak8yqrxIeahKOv3W/OquKxob6cHrIMsqmnrdEfeFFxGyGprtgZqlHcqe9LdS7Y8jvQBTuZs8CmWwwc1UyScmrkJwKQy8tWYc9RUEKlzjt3qyTtOKEBYpBTVbNPGDTEOopvIpc0wGk1Tmk21ZduKyrlu1ADFbPJ71YUiqimp1NQUTg04VCM1bgj3fM1MRGyP6URxc7pPyq84B61XZfSnYVxxYVGTVcyYbGelJvzUlCSUm6ms1MXmgCYE0E1HnHApV9aAP/1Mh/vmkp7/fNMoGAqSP74pnFPjzuFADRRQKcKAG4oxT8UuKAI8VLbnGfcY/UUYp6AA0DBImZHfsP8aRBzn2P8qcrknyx3NSAxRkhiWOOg4FICAnjFWIbd3QN0BqqASOe9WY5pQQoJIHGKALQt9o+XGfU809IWVt7NuqMM568fU1Mmc8mkBMavJ9xfpVEkVdQjYvPYU0Jink/lUDKXkwKnyM/lTIzhzngmgCoi/6RtNUoFYXqt/dDfrxWjPHskDr65pkaRRI753O5zz/D7UDK/wBimmXKkBSehp0dhOhzlfzptrJdPIOTsB6YGAK1gc0CKH2KY9WApy2KL807ZA7DirbzKnHU1UkZn5Y0DSCW4wvlwjaoqrH/AK1c+opWoj/1q/UUhl5/vGoi2OlOlbDECosUxCdeTS0UUgEopaKACilooASik74oxQAtLRS0AJRRRQAlFLRQAg60KOtHemk8UAGKjxnilpsm/wAthH97tQAzHOKYWxgd6pQyzI/lYJH91uo+h71aEsY/fA89AD2Pv9KdhXF3nPIo8wVHvGeoOaaSAciqsK5ZEwx3o80H1qrkYpciiw7ljzUxyKDKhHSq3BptFguWt4pu4Z6VD0FJuosBMWpu+oS+aaScUWETF8nApfLc9cVXQ/NirinIpDIvKY9TQYCe9WetNwaAKptgepqI2Y9av4NJigDONl6Go2tpAMFsgVq4ppFAGP5B9qfHG4YL6mtAr7URgbs4xigC3GqxgKKlIDDmq+6pg3FUIj2spqRTmlBzTwBQIWmGnEgVExFMRDI1Y9w5MmBWjM4VSax87mLetJjROnvVgGoVFSrSGToCxCitRFAGPSqNouWLVo9BVITGtVd+lTGq8h4pkmW/Dk0BqVxzUfSoZY4mlU/LURNOXpSGSDrzUoqJafQB/9XJk/1hpuKfJ/rDTQCelAwp6feFKIj3qVFVTQMgAJ6U8Iafml3UgECGjaaN1NJNMBe/JpW27fk/M1HmlzSAb5bnvmp0ixy30qMNipRIT3oAkWFRUm0CovMaglz1pAWFIFPWQZwATVVeetWohzQBdTyhyVJPvirQwRkCqyDJq0OBTEJ0qJ8N96pgKgkkReOpoAoXCXcmPLZRtOQTn/CkW0ubj/WNke3A/wAam+eTnoKnjuI4o9g+ZvSgCeGJbWHazcDuaqSXJJIQYHrSFmkO6Q59B2FQP1pDsPjyTk1MelRR1KaQyu1In+sX60rdasRQ4+d+vYUAOK803FTGmEUxEdFLiigBKKKWgBKOlLSdeaAEApcDNHeloASilooASlopKACiikoAO9NIp3emE8N/sru/UCgBMU08UobFMdiOlACFElGGH41lXW4MF6gdD3x7mtIkrH7n+VUrgbsGmhMfLaMscbxHeGxnHY/hUrwAjMZ/CobOaOGTLDacYyP881rlEkG9MAnuOhqhGJypwwxRmtKSIH5ZBWbKoifbnNAw3HNG+od6+tG9fWgCUse1N3Gmb1pDIvrQA7caaWNMLj1pu8UCJo2+ariNWajDdVyNuaBl0U7molbNSDmkAc0UvFGKAE4pKWigBuKgkDAfJU9L1oApCUjhuDVlJQVprRhutVzGyfc6elO4rGhG2anB4rKjmwcHg1pIQybhVIQE1XdgBRK4HNZVxcfwrQIbcy7jtFRIMVEDk5NTpUlE4qRajWrEKeY2D0HJpiNC1TbGD681ZNIgAUBegprGqQhpNVZDU5JqtIaBFN6gNTuartUsoYanXpVfNTjipZRIKWmUoNAH/9agyrvJNLkDpSP9403NIocWoU880ymlgOtAD6TIHWo9xPSjHc0AP3elN+tN3AU35j7UAPLAU3LNQFFTLGT14oAYo/Gp0Q96coVelPBFFgJAoHSlxQCKdk+lADAADViMiqhzmrMeFwTz6AUxGlEO9SmRFGc8etZxnxwefYdB9fWmr5kpyaBFh7lnO1OB+tRhAnzyn8KQukXypyxqHljuc5pXGkSNIz8LwKaoANFC9aRROOlVpOtWO1Vn60ATxVMahi54FWgAKAGpGFO48mpc02koEOpppcijigQw00ipcU0igZFRTiKb0oAPajtSCl7UAIOtLSDrS0AFGaSnxKGkA9OaADY/oaNj+lW2plOwitsf0pCrKORVqqVxKqkkk/L2HX9aLDFwc4pwXGQRz0OaqwTo4ZmPI6Zq7HmRA6q2DVJEtlR1dPmUZX0poImwBwfQ1YeQBvLIII5waqOdo6e5pWGmTGEsSMnjA6VE9mXTYT+lTwzMUBxyealErZ70rAYx09gfvUJ9qtjmP5h3HX9O9dAJvWo3MLj50B/CmBUhvLedPm+Ujsen4Vizl/MLsOCeCKvXNkhO+DKn0PIqO0ileXZMpCjr6GmIqm1xjzAVJGcfWk+zx96276Myx+Yv3k/lWNuoAj8iOjyI6fupM0AM8iOmmBKlJphNAEflbCGXtVlGDDIpqHIwaTGw7h070AW0b1qdWzVQdM1IrGkMt0tQg+lSKc9aAH4zTSKXNOoAjxSU/r0pMUANppGakxRQBUkh3fWo1kuIfl+8tX6btpiMyeSWQAYIqp5Td62mQVCUxQBl+URT1BXrV7ZTTGDQBADV+yTcWc9OlUjFjpWnYArGQ3c00BYCFD8p4pxJ71JTGqiCu7Yqm7E1NKearE0DImquxqZjVYnJxUMoVBlvpU2aYBtGKM0hkg6UoqNTUnSgD//XzJX+cio91SyD5zmoSyj3oKF3UnHWmgk9BSkHFIBdwHSkwT1pwAFSpE79Bgep4FAEQAFSpE8n3Rx6mpgsEfV0Y+5/pU6SA9JFNA7EYtlVCTycVX2EVf3L/Ec/SmbrcnAOfoCaAsVA2O1OE2P4atfuByQfyNAa39D+RouFhkc/+zVkT8dKjEtshwc/kasxNDLxGCfcjAouKxAZhnlagkZnkXYMZH9a0ZIkUds9qoySeWcYBb0qkJloBEiCyduv1qMzM4xHwvrVYBnbdIc+1WB0pMaQ5UC9KkVQTTR1pVPzVIxH4bAoWmMSWNOQHNAE46VD5bSPtWrKoW4qwqhRgCgCJEEYwKdTzTaBDaTFPzSYoENpQaKSgB1FIDS0ANIqMkZ+lTVFIMc0DHwqGY9wKHVBwKRG8uPPc9qZnuaYCAd6MUZzSbitFgFxVi3XGW/CqxbI4q9GNsYB60AxxAI9Ki4HBNZGuSjEcY9yf5D+tc+pGRnp3xTJO2yPUVVmjRjuBw386wDJp/ZJP++h/hTN9n2V/wDvof4UDL86yD7oGParo1d40CLHjHHT2+tc+Xg7BvzFSwpHMdqBj754/OmIvTXV1durFVUrnGB6/U1YigUjMxyT2FRLpcZ5dz+FTrpNsq73DkHuTx+lAF8KgGOKdhPas7+zrM8BDk/7R/xp1ppVlchiwIIOPvGgC/tX2pNqeorDewtFuJIhuwvTn0HPaluNHUIr20nJH3G6/mKANrap6UBADnFcrCJ7G5VpVIGfwP411wG8Bl6HkUANwM1gXFjOkx8rBQ8jJrodpqOWIyJx1HShgjmvsd36D86T7Jdj+EfnW1tNJg1NyrGL9lvP7o/MUhtrrun6itvDU0q1FwsYqxzIcOMVJg9DV6WNmFVF/utTFYYjCM7W+6f0qxtweKhZKSOQodj9OxoAnB5qVTTMUDg0wJxzT+vFQg+lSA0CJAMUEDFIDxRmgYlNwak4pp96AG80nNLSc0CENMIp9FAEBUikqUrTKQDMZrQhACAVQrQi6CqQMlqJ6lNQPVEFCXINVyammPNU2akykNdqYg/iNRk7jipM8VDGOzSZpBSUASp1qTNQrT6YH//QxZj+9b61GMmpZAPMY+9OSNm5HA9T0pFCJG7nCgmriWbn75x9OaoySLHwjBvoKh+0Meq0Aaktm3/LLn60ggnxjy0/HNZXm/7NAlP92iwXNxbUEfvFUn24qZYdowoA+lc75gP8FAkI6CiwXOhPy8HH0qIuvpWQtyw6g08XK/3DRYdzU3dyAKbsmflThfXGKoC6HZD+lPlu55+Pur6CnZCuWjLDGMScn0HWpYrpHOFOwVkfKv3jWjBCSuXGB6UgJ2kZ+Isgf3j1NMVAvuamPAwKZQAqjmpR0qJalFAx/ejikzg0o65NIAC96etSIhb5m6U4gjpQK45GqdTVYMR3qdGPrQIfTDUuaOaYEQHc0lSHNMyaQDTTakyaTmmBHThRTSaQD6jb5uKN5NJQMTApaMUlAwoxRRQBXn6YFZ5Lepq3M/X8qpngUAULkliBUAQ1O3zSfSlxVEke32FIR7VLS9aBFfB9K2rYqbcKoBA646g1lkUiu8bbkJB9qANxJXHH3gPSpi0jKGQkrkErn39KxlvnyPNUNjv0P51N/aKEYBKH1PNAzorswLbloQN3GMfWs21km8z92SpfsQOgqOXUbJgoicDjnhuv5VU820eeOSSYBVPIG7OPwFMk1GMSylcDzOcmngrtPBJ/SspriyjlZoX3KTkDDZ/UU46kn8Ck/XikxovybGUq4yPSsZJARhScA8fSori5mmUgnA9BVe2bB20irmjub1NOBPqaYKd3qSiRXKMGFaQwQCOhrMq3bv8A8sz+FMCxim0+k70CIyKozR4ORWjio3TcMUAZinPBprJkVI6FTkUKc1QiKNyp2P8Agas1A6BqSNyp2P8AgaBFgGpQaiFPFMRKDS8UwGnigBRS4BpAMUUABUUzAFPzSUANwO1JilNJ1oAbTDk1JtppoAjIq/F90VQYelXYDlBTQmSGq8hwKnbNUpyQKokoyNk1Skf0qSR+arGoZY5SuMfrS9KaBTsUgFBozSYoFAEgqQVCKkBpgf/RqJCmPMbknnmqV8GYqVPAHStSIZiWo3hDdaRRz+5h1pwcdxWo9oh7VWayI6GgRWDKe9OGKGtpF7VCUdaAJ6KgDsKkRt3WgB9KBTlV3OEGalMAT/WnJ/uj+tFgIdwFKizTHCDA9atR2+7l+B6VcVQowBgUx2IYbZIvm+83qavL0qGpl6UgBqjqRqjoGOWpOgqIdakHNACjrU8aDOWpqrjrUgpCLIxSEUimpKBFcginRnmnstNVSOT0pgWFp1RqakFADTTCKkpppAMpKdSUwGnAqI89KVjTRQMOlLRSUDFpKKKQBTCcAmnGonPQUAU5fvAVVkParcinJftVQ8nmhITKScsTT6n2IOgphKg4xV2JuR0lSbl/umlyn9w0rARUxjirGU/umo2Kf3DTsBUYmo6ubk/55ml3R/8APM/lRYCjijFX90f/ADzP5Um6P/nmfyosBSFPDEVa3R/88z+VG5P+eZosBErA8Go87Hq2pQkDyyKk2RnqBRYLkqHIp5HHFNQAcCpAKhloF6VIpIORUY681IKANBW3qGpSKrwtg47GrVADaSl9qMUAVpY8jcKospU5FatVZI8fSmhFVTmmSIGFKwKnPanA0xEcchzsfr/OrIqvIgIp0UhPyP1/nTAsKaeDTKUUxEgNGaQUtACe1Jmn4pmKAF6ikpaSkAnIppp9MJoAjYVYgPyYqE0IxXOO9NCZYY1m3D4qwzmqEqu7e1NsSRUOetJirHlGk2EVJRABT8VJto20AMxSbak20oT1oAh2ntThU23FNK0Af//SpC8hjGzBOOOKab+PsprOPWm4pDNA347J+tIL4d0/X/61UQKKYGgLyI9UP6Uefbvxg/lVKOJ5W2qK2be1SIZPLUgITZxt2pws4U+ZzwPWp5Z44eDy3pVE+ZOd0hwOwphYc02f3dsMD1ojiC8nk1IqhRgU6kMWlpBS0ALUq1FUq9KABqj71IeelRnJwo60AKOWwKtKoFNjQKKlFAC0ooFLQIepqZagHFSrzQBJjNRsPSphTSKAIRxUymoiKFNAFikNIDTqAGEVGxxUpqvkMNx/CgBpA79fSkozSUDCiiikAUlLSUDGmk8qRhvCkjtQauxn90tAij5MuPumqz2MrcoCK2M0oP1pgYP9n3X+RTDYXXofyroc03P1p3FY58WV1nGD+VP+wXXTB/Kt0GnZouFjANjdjsfyqJrK7Azg/lXS5NNJouFjmfsd0D0P5U4Wl0RkKfyrocmnDNO4rHPfY7v+6fypPsd3jO0/lXSAmjmlcdjm/sd1/dP5UfYrrGdp/KukBNLk0XCxzf2K6/un8qT7HdZ+6fyrpRmjJo1A5+O1uB1U/lT/ALNMOdpreGaMmlYdzBMEueVNOEMv901sHNIc4osFzKWOT+6asqWxhhgirPNRt1p2FcjNA5oPFAFIYlNIBGDT6bmgZTkjI4NVtpHPpWmy7hiqxGDQIrZyKjdMjI6ipnjwNy9P5UzNUIdDLu+VuGFT1SdecqcEdDViKTfweGHWgROKdxTaQGmIkyKSk60ooAbzRSkZooGGOKaRTwKTNAEWO1JipDTeaQEZFRketTmo8UAQlaaRU2B2pMA0AQbRTdoqYrSFTQBEBiin7TSbTSAbgGkxTse9ISq9SB9TQM//0+fbqabmhjzU0VvJKenFAyIc8CrUNq8nJ4FXobWOPk8mpJJ0i4PJ9KQEiJHCnHAHUmqst0zHZD+dQFpJzl+B6VKqBRgUDGJGBy3JqcUgFLQAtKKSloAWlpVRj0qZYe7UAQDmrEcZOM9KeoTdtNI02wEDn0oAS4wjhV7VGgAqDJLZPWploEWRinjHpTFp4oAcMelP4pgpwyelADgAaeMCkAxRQBMCKdxUSmpBQAxgKgbg8VaIqBloAVWFTAiqgODUgJc7B+NAEu0yd8L6+tEgXbhRTxgcenYUAZ5NAFHkcGip5U7ioKBhRRxRQAlJS4NIQaAGGr0f+pX6VRIq5Hnyl6UAPpaZk+1KD70gFpOKKSmAop2RUYp4+tAC5pCaWmmgBmacDTKcDTESA0UgNBNIYtGaSjIoAUUUZozQAopM0CigBhNJnig0namIbmo2PNPphALUAN470AE9KkAHelzgYFFh3G+WT1NKI1HWng0mc07CFGMdKUoh6gU1elOoAjNvGegxVKSwAGYyc1oEmlU9qLAc4VkikxIMZ70MpB3qcEVrahgWxOO4qgg3LTEPilEo9COoqTFUXVkYOnUVcilEi5HXuKAFpwoxSCmIcOaKKUUAJTTTyKZSATmkNPHHSmYoGNptKelNwaQDaTtTvrTcYoAVRnJ9KinmEC7m5J6Cp4+4rIv2Jn29lAH9aAI3u5n74HtUBdz1JP40yikAUUUUAf/UoxWiry/Jq3lUXsAKhlnSLqcn0qizvOck8UiixJdFvli/Ookj5y3JoVQOlSAUAPFPFMFSrGxoABT1UscCpFhH8VTDC9KAFFuuOaQwKORQZMd6jMpNADsbe9IHycmo8Mw3HpUXmbc460APDNuJoIzSLT+aBEQFTKajxT1pgWFJqUCo1qUCgQ4e1SKMUijFLSGOpKUUUAAqVTUVKD2oAm60xhSih2Crk0AVXHOB1NSR8cE4FSKCB8vJPVj/AEqFxtPvQMnBzwnAFP2se9Qo3GKlBNAC+UD94moZIkUZAqbn1pCMjBoEVeKSh1KHBptMY7IphIpDTKAAmrkZPlL9Komrkf8Aql47UmA7mnc+1MpwNIYn5UZ+lFN/KgQoPPan5+lRjrT6AFz9KaT70tNJNMBufenA+9RkmnKaYiUH3oz70go5pDFzS5puaM0AOzRmkGaKAHA0maBSc0ANJpM8UHNJ2piG5qNmwafUT8NTAdvNLnNRgmnA0XAkzSimClpAOFGKbRTAXmkDYbBpMnsaYwJ6mgCvqjhbXBPUiqNs2Uq9PA0sew4YVmRo9u+xs4NMRaIzVYho23p1/nVoUFc0APjkWRcrT6oMGifen4j1q3HIsi7loESD3o4FJRTAUmkpKKAHcU00uaQ0gGHimmpOKbSGRnFM+tSlaiNADos7sViXf/Hy/wBa24h89Yl1/wAfL/WgCtRS0lIAooooA//Z',
'description', 16);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 16);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 16);
insert into photo (Photo, Description, EstateID)
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',
'description', 17);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 17);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 17);
use estate_manager;
insert into photo (Photo, Description, EstateID)
values 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',
'description', 18);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 18);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 19);
insert into photo (Photo, Description, EstateID)
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',
'description', 19);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 19);
insert into photo (Photo, Description, EstateID)
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',
'description', 19);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 20);
insert into photo (Photo, Description, EstateID)
values 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',
'description', 20);
| true |
82e4beaefe15c40236dfc579fce6b28d4b8201f2 | SQL | LeonardRada/WEBPROG2 | /book-view/sql/db.sql | UTF-8 | 782 | 3.96875 | 4 | [] | no_license | CREATE DATABASE php_lesson_db;
USE php_lesson_db;
CREATE TABLE IF NOT EXISTS author (
id INT(6) UNSIGNED AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255)
);
CREATE TABLE IF NOT EXISTS book (
id INT(6) UNSIGNED AUTO_INCREMENT PRIMARY KEY,
title VARCHAR(255),
isbn VARCHAR(255),
author_id INT(6) UNSIGNED,
FOREIGN KEY (author_id) REFERENCES author(id)
);
INSERT INTO author (name)
VALUES
('J.K Rowling'),
('Rick Riordan');
INSERT INTO book (title, isbn, author_id)
VALUES
('Harry Potter', '0-672-316123-8', 1),
('Percy Jackson and the Olympians', '1-141-5143123-5', 2);
ALTER TABLE book ADD COLUMN pic_url VARCHAR(255);
UPDATE book SET pic_url = 'hp.jpg' WHERE id = 1;
UPDATE book SET pic_url = 'pj.jpg' WHERE id = 2;
ALTER TABLE author ADD CONSTRAINT un_author_name UNIQUE (name);
| true |
e17bb2514d3454baaee5083585689c772b9bebde | SQL | gentjankolicaj/MyManager | /desktop/src/main/resources/liquibase/changelogs/08_insert_employees.sql | UTF-8 | 1,754 | 2.53125 | 3 | [
"MIT"
] | permissive | -- liquibase formatted sql
-- changeset liquibase:7
-- -----------------------------------------------------
-- Initial employees,for testing purposes,to be deleted after testing
-- -----------------------------------------------------
INSERT INTO employees ( employee_id,first_name,last_name,middle_name,birthday,birthplace,gender,job_id,department_id,project_name,created_by,created_date,updated_by,updated_date)
VALUES ("007", "James 7", "Bond", "Arthur",curdate(), "London", 'M',null,null,null,"Developer", now(),"Developer", now());
INSERT INTO employees ( employee_id,first_name,last_name,middle_name,birthday,birthplace,gender,job_id,department_id,project_name,created_by,created_date,updated_by,updated_date)
VALUES ("001", "James 1", "Bond", "Arthur",curdate(), "London", 'M', null,null,null,"Developer", now(),"Developer", now());
INSERT INTO employees ( employee_id,first_name,last_name,middle_name,birthday,birthplace,gender,job_id,department_id,project_name,created_by,created_date,updated_by,updated_date)
VALUES ("002", "James 2", "Bond", "Arthur",curdate(), "London", 'M', null,null,null,"Developer", now(),"Developer", now());
INSERT INTO employees ( employee_id,first_name,last_name,middle_name,birthday,birthplace,gender,job_id,department_id,project_name,created_by,created_date,updated_by,updated_date)
VALUES ("003", "James 3", "Bond", "Arthur",curdate(), "London", 'M',null,null,null,"Developer", now(),"Developer", now());
INSERT INTO employees ( employee_id,first_name,last_name,middle_name,birthday,birthplace,gender,job_id,department_id,project_name,created_by,created_date,updated_by,updated_date)
VALUES ("004", "James 4", "Bond", "Arthur",curdate(), "London", 'M', null,null,null,"Developer", now(),"Developer", now()); | true |
9420744d9691e029f660be33e3d1435cd9a6016b | SQL | Kaushik098/Oracle_sql_files | /sql_files/Mail Tasks/Mail_Task(Joins).sql | WINDOWS-1252 | 9,412 | 4.15625 | 4 | [] | no_license | 1 Fetch the country name for Seattle City
select c.COUNTRY_NAME
from countries c JOIN locations l
on (l.COUNTRY_ID = c.COUNTRY_ID)
where l.city = 'Seattle';
2 Fetch the count of employees in each department id
select e.DEPARTMENT_ID, count(e.EMPLOYEE_ID) count_of_employees
from employees e
group by e.DEPARTMENT_ID
order by 1;
3 Fetch the count of employees in each department name
select d.DEPARTMENT_name, count(e.EMPLOYEE_ID)
from employees e JOIN departments d
on (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
group by d.DEPARTMENT_name;
4 Fetch the department name having less than 10 employees and order by count
select d.DEPARTMENT_name, count(e.employee_id)
from employees e JOIN departments d
on (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
group by d.DEPARTMENT_name
having count(*) < 10
order by 2;
5 Fetch the count of employees under each manager id
select manager_id, count(*)
from employees e
group by manager_id;
6 Remove NULL manager id count from above output
select manager_id, count(*)
from employees e
where manager_id is not null
group by manager_id;
7 Fetch the count of employees under each manager_name
select mgr.first_name, count(wkr.EMPLOYEE_ID) count_of_employees
from t_test_emp mgr JOIN t_test_emp wkr
on (wkr.MANAGER_ID = mgr.EMPLOYEE_ID)
group by mgr.first_name;
1 2
2 3
5 2
8 Fetch the manager names having only one employee reporting to them
select mgr.first_name, count(wkr.EMPLOYEE_ID) count_of_employees
from t_test_emp mgr JOIN t_test_emp wkr
on (wkr.manager_id = mgr.EMPLOYEE_ID)
group by mgr.first_name
having count(wkr.EMPLOYEE_ID) = 1;
9 Fetch the manager names working in departments Shipping, Sales, Executive and having less than 8 employees reporting to them
select mgr.EMPLOYEE_ID, mgr.FIRST_NAME, d.DEPARTMENT_NAME manager_department_name
from t_test_emp mgr, t_test_emp wkr, t_test_dept d
where (mgr.EMPLOYEE_ID = wkr.MANAGER_ID)
and (mgr.DEPARTMENT_ID = d.DEPARTMENT_ID)
and d.DEPARTMENT_NAME IN ('Oracle', 'Java')
order by 1;
-- Fetch the manager names in oracle aand java having employees more than 2
select mgr.EMPLOYEE_ID, mgr.FIRST_NAME, d.DEPARTMENT_NAME manager_department_name, count(*) count_of_employees
from t_test_emp mgr, t_test_emp wkr, t_test_dept d
where (mgr.EMPLOYEE_ID = wkr.MANAGER_ID)
and (mgr.DEPARTMENT_ID = d.DEPARTMENT_ID)
and d.DEPARTMENT_NAME IN ('Oracle', 'Java')
group by (mgr.EMPLOYEE_ID, mgr.FIRST_NAME, d.DEPARTMENT_NAME)
having count(*) > 2
order by 1;
select * from t_test_emp;
select * from t_test_dept;
-- selected manager_name, employee name along with department_name
select mgr.EMPLOYEE_ID, mgr.FIRST_NAME employee_first_name, mgr.LAST_NAME employee_last_name,
wkr.FIRST_NAME manager_first_name, wkr.LAST_NAME manager_last_name, wkr.DEPARTMENT_id, d.DEPARTMENT_NAME
from employees mgr, employees wkr, departments d
where (mgr.MANAGER_ID = wkr.employee_id)
and (wkr.DEPARTMENT_ID = d.DEPARTMENT_ID)
order by 1;
-- selecting employee name with manager name
select mgr.EMPLOYEE_ID, mgr.FIRST_NAME employee_first_name, mgr.LAST_NAME employee_last_name,
wkr.FIRST_NAME manager_first_name, wkr.LAST_NAME manager_last_name
from employees mgr, employees wkr
where (mgr.MANAGER_ID = wkr.employee_id)
order by 1;
-- 10 Remove NULL manager id count from above output
11 Fetch the region name and postal code for Donald
select r.REGION_name, l.POSTAL_CODE
from employees e JOIN departments d
on (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
JOIN locations l
on (d.LOCATION_ID = l.LOCATION_ID)
JOIN COUNTRIES c
on (l.COUNTRY_ID = c.COUNTRY_ID)
JOIN regions r
on (c.REGION_ID = r.REGION_ID)
where e.first_name = 'Donald';
12 Fetch the countries having less than 10 employees
select c.COUNTRY_NAME, count(e.EMPLOYEE_ID) count_of_employees
from employees e JOIN departments d
on (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
JOIN locations l
on (d.LOCATION_ID = l.LOCATION_ID)
JOIN COUNTRIES c
on (l.COUNTRY_ID = c.COUNTRY_ID)
group by c.COUNTRY_NAME
having count(e.EMPLOYEE_ID) < 10;
-- Cross Check
select e.employee_id, d.DEPARTMENT_ID, l.LOCATION_ID, c.COUNTRY_ID, c.COUNTRY_NAME
from employees e JOIN departments d
on (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
JOIN locations l
on (d.LOCATION_ID = l.LOCATION_ID)
JOIN COUNTRIES c
on (l.COUNTRY_ID = c.COUNTRY_ID);
13 Fetch the department name and max of salary in each department name
select d.department_name, max(salary)
from employees e, departments d
where (e.DEPARTMENT_ID = d.department_id)
group by d.DEPARTMENT_NAME;
14 Difference between ON and NATURAL JOIN
ON:
> In 'ON' condition we will declare one table column name (Foriegn Key) with another table column name (Primary Key).
Natural Join:
> No need of declaring (or) entering column names with Equal Assignment Operator while using join.
> It automatically detects the column name and gives us the result.
15
dept1
dept_no d_name
emp1
emp_no e_name department_no
How to join the above 2 tables using
ON
NATURAL JOIN
USING
create table dept1 as
select 1001 dept_id, 'CSE' d_name from dual
union all
select 1002 dept_id, 'ECE' d_name from dual
union all
select 1003 dept_id, 'EEE' d_name from dual
union all
select 1004 dept_id, 'MECH' d_name from dual;
create table emp1 as
select 100 emp_no, 'Aadhish' e_name, 1001 d_name from dual
union all
select 102 emp_no, 'Bharath' e_name, 1002 d_name from dual
union all
select 103 emp_no, 'Camelline' e_name, 1002 d_name from dual
union all
select 104 emp_no, 'Daniel' e_name, 1003 d_name from dual
union all
select 105 emp_no, 'Emille' e_name, 1001 d_name from dual
union all
select 106 emp_no, 'Francais' e_name, 1002 d_name from dual
union all
select 107 emp_no, 'Gambir' e_name, 1003 d_name from dual
union all
select 108 emp_no, 'Heytmer' e_name, 1004 d_name from dual
select * from dept1;
select * from emp1;
alter table emp1 rename column dept_id to department_no;
ON:
SELECT *
from emp1 e JOIN DEPT1 d
on (e.department_no = d.DEPT_ID)
Natural Join:
SELECT *
from emp1 e Natural JOIN DEPT1 d;
Using:
SELECT *
from emp1 e JOIN DEPT1 d
using (dept_id);
2 ORA-00904: "E"."DEPT_ID"
16 Fetch the count of employees in each department name
Expected output
Oracle 3
Java 3
select d.DEPARTMENT_NAME, count(e.EMPLOYEE_ID) count_of_employees
from t_test_emp e, T_TEST_DEPT d
where (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
GROUP BY d.DEPARTMENT_NAME
17 Modify the above query to bring the below output
Expected output
oracle 3
java 3
dotnet 0
select d.department_name, count(e.DEPARTMENT_ID) count_of_employees
from t_test_emp e RIGHT JOIN T_TEST_DEPT d
ON (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
group by d.DEPARTMENT_name;
18 Add COUNT(ROWID) in above query
select d.department_name, count(e.DEPARTMENT_ID) count_of_employees, count(e.rowID) count_of_row_id
from t_test_emp e RIGHT JOIN T_TEST_DEPT d
ON (e.DEPARTMENT_ID = d.DEPARTMENT_ID)
group by d.DEPARTMENT_name;
select * from t_test_emp;
select rowid, e.* from t_test_emp e;
select rowid, e.* from employees e;
select rowid, e.* from dual e;
19 Fetch COUNT of employees in each Grade
select g.title title_name, count(*) count_of_employees
from employees e JOIN title g
on (e.salary between g.MIN_SAL and g.MAX_SAL)
group by g.title
order by 1;
select g.title title_name, count(*) count_of_employees
from t_test_emp e JOIN title g
on (e.salary between g.MIN_SAL and g.MAX_SAL)
group by g.title
order by 1;
select * from T_TEST_EMP;
20 Fetch the Grades which has count of employees more than 20
select g.title title_name, count(*) count_of_employees
from t_test_emp e, title g
where (e.salary between g.MIN_SAL and g.MAX_SAL)
group by g.title
having count(*) > 20
order by 1;
21 Fetch the Grades and count of employees like below
GRADE Count_of_emps
A 20
B 45
C 12
F 0
select g.title title_name, count(e.EMPLOYEE_ID) count_of_employees
from t_test_emp e RIGHT JOIN title g
on (e.salary between g.MIN_SAL and g.MAX_SAL)
group by g.title
order by 2 desc;
22 Fetch the employees whose salary does not fall in any grade
Table 1:
Employees:
101 4500
102 5600
Table 2:
Title:
A 4001 5000
B 5001 6000
Case 1:
4500 between 4001 and 5000 correct
5600 between 4001 and 5000 wrong
Case 2:
4500 between 5001 and 6000 wrong
5600 between 5001 and 6000 correct
select * from t_test_emp;
select *
from t_test_emp e LEFT JOIN title g
on (e.salary between g.MIN_SAL and g.MAX_SAL)
where g.min_sal is null and G.MAX_SAL is null
order by 2 desc;
23 Fetch output like below
Parent table name Parent column Child table Child column
Departments Department_id employees department_id
Departments Department_id emp_bk dept_id
Departments Department_id emp2 department_id
| true |
64865e9defcbdaac61590a69bb4af2e581942ffb | SQL | JuanDaw/1daw | /badat/2trim/tema9/T9-Act6-afernandez.sql | UTF-8 | 906 | 2.5625 | 3 | [] | no_license | /* Apartado 1 */
INSERT INTO tipo
(cod_tipo, nom_tipo)
VALUES
(1, 'fijo');
INSERT INTO tipo
(cod_tipo, nom_tipo)
VALUES
(2, 'móvil');
INSERT INTO tipo
(cod_tipo, nom_tipo)
VALUES
(3, 'fax');
/* Apartado 2 */
INSERT INTO socio
(cod_socio, nombre, apellido1, apellido2, dni, fecha_nac)
VALUES
(1, 'Alonso', 'Fernández', 'Vidal', '52339960X', to_date('06/03/1990', 'DD/MM/YYYY'));
INSERT INTO telefono
(cod_telf, num_telf, cod_tipo)
VALUES
(1, '956234567', 1);
INSERT INTO telefono
(cod_telf, num_telf, cod_tipo)
VALUES
(2, '661098997', 2);
INSERT INTO telf_socio
(cod_socio, cod_telf)
VALUES
(1, 1);
INSERT INTO telf_socio
(cod_socio, cod_telf)
VALUES
(1, 2);
/* Apartado 3 */
INSERT INTO socio
(cod_socio, nombre, apellido1, dni, fecha_nac)
VALUES
(2, 'Rafael', 'De la Rosa', '41587939Y', to_date('16/04/2010', 'DD/MM/YYYY')); | true |
452cda936c5717981da4343b9d9e0ac1873c2df0 | SQL | XIYECODE/ssm | /webshopplatform.sql | UTF-8 | 21,843 | 3.171875 | 3 | [] | no_license | /*
Navicat MySQL Data Transfer
Source Server : mysql
Source Server Version : 80016
Source Host : localhost:3306
Source Database : webshopplatform
Target Server Type : MYSQL
Target Server Version : 80016
File Encoding : 65001
Date: 2019-06-23 19:26:41
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for admin
-- ----------------------------
DROP TABLE IF EXISTS `admin`;
CREATE TABLE `admin` (
`admin_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '管理员ID',
`admin_name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '管理员登录名',
`password` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '管理员登陆密码',
`admin_tel` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '电话',
`admin_email` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '邮箱',
`admin_addr` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '地址',
`admin_delete` int(1) NOT NULL DEFAULT '0' COMMENT '管理员状态',
PRIMARY KEY (`admin_id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of admin
-- ----------------------------
INSERT INTO `admin` VALUES ('1', 'admin', 'admin', '12345678900', '12345678900@139.com', '岭南师范学院本校区', '0');
INSERT INTO `admin` VALUES ('2', 'admin1', '0000', '12345678901', '12345678901@139.com', '岭南师范学院', '0');
INSERT INTO `admin` VALUES ('5', 'admin', '0000', '110120119', 'admin', 'admin', '0');
-- ----------------------------
-- Table structure for attr_value
-- ----------------------------
DROP TABLE IF EXISTS `attr_value`;
CREATE TABLE `attr_value` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '扩展属性值ID',
`value` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '扩展属性值',
`sid` int(11) DEFAULT NULL COMMENT '扩展属性ID',
`pid` int(11) DEFAULT NULL COMMENT '商品ID',
PRIMARY KEY (`id`),
KEY `sid` (`sid`),
KEY `pid` (`pid`),
CONSTRAINT `pid` FOREIGN KEY (`pid`) REFERENCES `product` (`id`),
CONSTRAINT `sid` FOREIGN KEY (`sid`) REFERENCES `secondcatalog` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=77 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of attr_value
-- ----------------------------
INSERT INTO `attr_value` VALUES ('1', '一个', '1', '1');
INSERT INTO `attr_value` VALUES ('2', '椭圆果冻', '2', '1');
INSERT INTO `attr_value` VALUES ('3', '橙、粉、白', '3', '1');
INSERT INTO `attr_value` VALUES ('5', '一包', '1', '2');
INSERT INTO `attr_value` VALUES ('6', null, '2', '2');
INSERT INTO `attr_value` VALUES ('7', null, '3', '2');
INSERT INTO `attr_value` VALUES ('8', '60克', '8', '2');
INSERT INTO `attr_value` VALUES ('9', '奇塑家居', '4', '4');
INSERT INTO `attr_value` VALUES ('10', '收纳盒', '5', '4');
INSERT INTO `attr_value` VALUES ('11', '看装纳小物品', '6', '4');
INSERT INTO `attr_value` VALUES ('12', null, '7', '4');
INSERT INTO `attr_value` VALUES ('13', '爱之家', '4', '3');
INSERT INTO `attr_value` VALUES ('14', '床上用品', '5', '3');
INSERT INTO `attr_value` VALUES ('15', null, '6', '3');
INSERT INTO `attr_value` VALUES ('16', '浪漫', '7', '3');
INSERT INTO `attr_value` VALUES ('17', '偏硬', '4', '5');
INSERT INTO `attr_value` VALUES ('18', '散装', '5', '5');
INSERT INTO `attr_value` VALUES ('19', '乐视乐事', '6', '5');
INSERT INTO `attr_value` VALUES ('20', '花生味', '7', '5');
INSERT INTO `attr_value` VALUES ('29', '包装', '5', '10');
INSERT INTO `attr_value` VALUES ('30', '徐福记', '6', '10');
INSERT INTO `attr_value` VALUES ('31', '话梅味', '7', '10');
INSERT INTO `attr_value` VALUES ('32', '一盒', '1', '7');
INSERT INTO `attr_value` VALUES ('33', '黑色', '3', '7');
INSERT INTO `attr_value` VALUES ('34', '偏硬', '9', '11');
INSERT INTO `attr_value` VALUES ('35', '软', '9', '12');
INSERT INTO `attr_value` VALUES ('36', '25克', '8', '1');
INSERT INTO `attr_value` VALUES ('37', null, '2', '7');
INSERT INTO `attr_value` VALUES ('38', '软', '1', '16');
INSERT INTO `attr_value` VALUES ('39', '椭圆', '2', '16');
INSERT INTO `attr_value` VALUES ('40', '乳白', '3', '16');
INSERT INTO `attr_value` VALUES ('41', '脆', '9', '17');
INSERT INTO `attr_value` VALUES ('42', '脆脆的', '9', '18');
INSERT INTO `attr_value` VALUES ('43', '软', '4', '19');
INSERT INTO `attr_value` VALUES ('44', '未知', '10', '24');
INSERT INTO `attr_value` VALUES ('45', '鲜橙、水蜜桃、荔枝', '14', '1');
INSERT INTO `attr_value` VALUES ('46', '喜之郎', '15', '1');
INSERT INTO `attr_value` VALUES ('47', '250克', '8', '7');
INSERT INTO `attr_value` VALUES ('48', '花生', '14', '7');
INSERT INTO `attr_value` VALUES ('49', '德福集团', '15', '7');
INSERT INTO `attr_value` VALUES ('50', '一小盒', '1', '9');
INSERT INTO `attr_value` VALUES ('51', '红', '3', '9');
INSERT INTO `attr_value` VALUES ('52', '草莓味', '14', '9');
INSERT INTO `attr_value` VALUES ('53', '爱之家', '15', '9');
INSERT INTO `attr_value` VALUES ('54', '甘草味', '14', '2');
INSERT INTO `attr_value` VALUES ('55', '爱之家', '15', '2');
INSERT INTO `attr_value` VALUES ('56', '棉纱', '13', '3');
INSERT INTO `attr_value` VALUES ('57', '塑料', '13', '4');
INSERT INTO `attr_value` VALUES ('58', '木鸟之家', '4', '28');
INSERT INTO `attr_value` VALUES ('59', '挂式', '5', '28');
INSERT INTO `attr_value` VALUES ('60', '采用复合型材料', '13', '28');
INSERT INTO `attr_value` VALUES ('61', 'L码', '21', '29');
INSERT INTO `attr_value` VALUES ('62', '中青年女性', '24', '29');
INSERT INTO `attr_value` VALUES ('63', 'M码', '21', '30');
INSERT INTO `attr_value` VALUES ('64', '复古', '22', '30');
INSERT INTO `attr_value` VALUES ('65', '所有女性', '24', '30');
INSERT INTO `attr_value` VALUES ('66', 'M码', '21', '31');
INSERT INTO `attr_value` VALUES ('67', '潮流', '22', '31');
INSERT INTO `attr_value` VALUES ('68', '青女女性、在校女学生', '24', '31');
INSERT INTO `attr_value` VALUES ('69', 'L码', '21', '32');
INSERT INTO `attr_value` VALUES ('70', '流行', '22', '32');
INSERT INTO `attr_value` VALUES ('71', '天之蓝', '23', '32');
INSERT INTO `attr_value` VALUES ('72', '商务人士', '24', '32');
INSERT INTO `attr_value` VALUES ('73', 'SL、M、L', '21', '33');
INSERT INTO `attr_value` VALUES ('74', '潮流、热销', '22', '33');
INSERT INTO `attr_value` VALUES ('75', '萌小妹', '23', '33');
INSERT INTO `attr_value` VALUES ('76', '在校女学生、青年女性', '24', '33');
-- ----------------------------
-- Table structure for catalog
-- ----------------------------
DROP TABLE IF EXISTS `catalog`;
CREATE TABLE `catalog` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '分类ID',
`name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '分类名称',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of catalog
-- ----------------------------
INSERT INTO `catalog` VALUES ('1', '零食');
INSERT INTO `catalog` VALUES ('2', '生活用品');
INSERT INTO `catalog` VALUES ('3', '服装');
INSERT INTO `catalog` VALUES ('5', '鞋子');
INSERT INTO `catalog` VALUES ('6', '护肤品');
INSERT INTO `catalog` VALUES ('7', '电子产品');
-- ----------------------------
-- Table structure for merchant
-- ----------------------------
DROP TABLE IF EXISTS `merchant`;
CREATE TABLE `merchant` (
`merchant_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '商家ID',
`merchant_name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '商家登录名',
`merchant_password` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '商家登录密码',
`realname` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '商家实名',
`merchant_tel` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '电话',
`merchant_email` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '邮箱',
`merchant_addr` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '地址',
`merchant_Sname` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '商店名',
`merchant_Stel` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '商店电话',
`isPassed` int(2) DEFAULT '0' COMMENT '商家状态',
`businessPhoto` varchar(255) DEFAULT NULL COMMENT '营业照片路径，用于商家审核',
`registerTime` varchar(20) DEFAULT NULL COMMENT '申请注册以及作为商家入驻时间',
PRIMARY KEY (`merchant_id`)
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of merchant
-- ----------------------------
INSERT INTO `merchant` VALUES ('1', 'merchant', '0000', '王五', '12345678999', '12345678999@139.com', '岭南师范学院本校', '齐来乐事', '030-258-456', '1', null, '2016-06-03');
INSERT INTO `merchant` VALUES ('6', 'mc1', '0000', '力王', '12345678901', '12345678901@139.com', '岭南师范学院12', '有力', '0088880', '1', null, '2019-06-01');
INSERT INTO `merchant` VALUES ('7', 'JSON', 'woshizhuxiaodi', '猪小弟', '15768501236', '15768501236@139.com', '湛江市赤坎区光明小路', '猪之家腊肠', '15768501236', '1', 'images/business/a9bd2bfb47a5495e896a3edd0deeeb2a.gif', '2019-06-20');
INSERT INTO `merchant` VALUES ('8', 'fuzhuang', '0000', '福特白', '12345678936', '12345678936@139.com', '广州天河', '衣身有你', '010-00112233', '1', 'images/business/10c2f442c7954ed6bd83d7bbcd757a2e.jpeg', '2019-06-23');
-- ----------------------------
-- Table structure for orderitem
-- ----------------------------
DROP TABLE IF EXISTS `orderitem`;
CREATE TABLE `orderitem` (
`id` varchar(30) NOT NULL COMMENT '订单号，时间戳',
`pid` int(11) NOT NULL COMMENT '商品号',
`sid` int(11) NOT NULL COMMENT '用户号',
`price` double(10,2) NOT NULL COMMENT '购买时商品价',
`quantity` int(11) NOT NULL COMMENT '数量',
`name` varchar(50) DEFAULT NULL COMMENT '收件人',
`address` varchar(100) DEFAULT NULL COMMENT '收件地址',
`telephone` char(11) DEFAULT NULL COMMENT '收件人联系电话',
`status` int(11) DEFAULT NULL COMMENT '状态位，为0是购物车，为1是待提交订单，为2是订单提交，为3是已发货订单，为4是订单完成',
PRIMARY KEY (`id`,`pid`,`sid`),
KEY `fk_orderItem_pid` (`pid`),
KEY `fk_orderItem_sid` (`sid`),
CONSTRAINT `fk_orderItem_pid` FOREIGN KEY (`pid`) REFERENCES `product` (`id`),
CONSTRAINT `fk_orderItem_sid` FOREIGN KEY (`sid`) REFERENCES `user` (`user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of orderitem
-- ----------------------------
-- ----------------------------
-- Table structure for product
-- ----------------------------
DROP TABLE IF EXISTS `product`;
CREATE TABLE `product` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '商品ID',
`name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '商品名',
`price` decimal(10,2) DEFAULT NULL COMMENT '商品价',
`discount` decimal(10,2) DEFAULT NULL COMMENT '折扣价',
`dateofmanufacture` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '生产日期',
`termofvalidity` int(11) DEFAULT NULL COMMENT '有效期',
`mid` int(11) DEFAULT NULL COMMENT '商家id',
`merchantname` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '冗余商店名',
`isPassed` int(11) NOT NULL DEFAULT '0' COMMENT '状态位',
`image` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '图片路径',
`cid` int(11) DEFAULT NULL COMMENT '冗余一级分类id',
`quantity` int(11) DEFAULT '0' COMMENT '商品储存量',
`isHot` int(11) DEFAULT '0' COMMENT 'sh热门商品状态位',
`registerTime` varchar(20) DEFAULT NULL COMMENT '商品上架注册时间，主要用于管理员查询',
PRIMARY KEY (`id`),
KEY `FK_PID` (`mid`),
CONSTRAINT `FK_PID` FOREIGN KEY (`mid`) REFERENCES `merchant` (`merchant_id`)
) ENGINE=InnoDB AUTO_INCREMENT=34 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of product
-- ----------------------------
INSERT INTO `product` VALUES ('1', '喜之郎果冻', '1.00', '1.00', '20190623', '180', '6', '有力', '1', 'images/be776bd40f3b499e9df4b4ebee75afc8.jpeg', '1', '100', null, '2019-06-17');
INSERT INTO `product` VALUES ('2', '情人梅', '3.70', '3.70', '20190623', '120', '1', '齐来乐事', '1', 'images/af5c6dc37d24464c9e65610ff58f9b05.jpeg', '1', '44', null, '2019-06-17');
INSERT INTO `product` VALUES ('3', '家用舒适棉枕', '28.00', '28.00', '20190623', '365', '1', '齐来乐事', '1', 'images/bb607239154f49f6be06f9027e2c84b3.jpeg', '2', '50', null, '2019-06-16');
INSERT INTO `product` VALUES ('4', '小物件收纳盒', '8.80', '8.80', '20190623', '180', '1', '齐来乐事', '1', 'images/103018aa62224537a7aaca1610517108.jpeg', '2', '50', null, '2019-06-16');
INSERT INTO `product` VALUES ('5', '牛轧糖', '2.00', '1.00', '20190409', '120', '1', '齐来乐事', '1', 'images/65204fd2623044b88ae8e086fc8be7f8.jpeg', '2', '44', null, '2019-06-16');
INSERT INTO `product` VALUES ('7', '德福巧克力', '89.00', '85.00', '20190623', '120', '6', '有力', '1', 'images/75be3e04eb86425792b6de5538531599.jpeg', '1', '50', null, '2019-06-16');
INSERT INTO `product` VALUES ('8', '测试2', '20.00', '2.00', '20190509', '60', '6', '有力', '2', 'images/8d3553d967154a349b4903fb553f4774.gif', '2', '0', null, '2019-06-17');
INSERT INTO `product` VALUES ('9', '甜甜蜜蜜爱心软糖', '9.90', '9.90', '20190623', '180', '6', '有力', '1', 'images/4242ab7f18ab4f4ba6872691c56b4978.jpeg', '1', '50', null, '2019-06-18');
INSERT INTO `product` VALUES ('10', '话梅糖', '20.00', '20.00', '20190509', '50', '6', '有力', '0', 'images/02d734fc232a4185a2bf9fa586f908cf.jpeg', '2', '10', null, '2019-06-13');
INSERT INTO `product` VALUES ('11', '威化草莓饼干', '20.00', '18.80', '20190509', '180', '6', '有力', '2', 'images/2f59ff2ed5bf4ec9b27cedb24e8832f2.jpeg', '6', '-2', null, '2019-06-02');
INSERT INTO `product` VALUES ('12', '威化巧克力饼干', '90.00', '78.80', '20190509', '180', '6', '有力', '2', 'images/936ad2fd08bd4028b28c1313261fa842.jpeg', '6', '0', null, '2019-06-02');
INSERT INTO `product` VALUES ('13', '2345', '234.00', '234.00', '201905010', '3', '6', '有力', '2', 'images/dfbb541d30214864a67785994a5d076c.gif', '5', '0', null, '2019-05-25');
INSERT INTO `product` VALUES ('14', '不添加更多属性', '1.00', '1.00', '1', '1', '6', '有力', '2', '', '8', '1', '0', '2019-06-14');
INSERT INTO `product` VALUES ('15', '2019-06-10', '10.00', '10.00', '20160610', '80', '6', '有力', '2', 'images/f20d9baccc1f4429be1f92bfa8606ac0.png', '8', '8', '0', '2019-06-08');
INSERT INTO `product` VALUES ('16', '哈密新瓜', '20.00', '20.00', '20190610', '20', '6', '有力', '2', 'images/358d7cbea56e47eeab3b6f595d8a7a99.jpeg', '1', '100', '0', '2019-06-15');
INSERT INTO `product` VALUES ('17', '美味都市脆脆香', '1.00', '1.00', '20160610', '180', '6', '有力', '2', '', '6', '30', '0', '2019-06-12');
INSERT INTO `product` VALUES ('18', '奥利奥', '19.90', '19.90', '2019-06-17', '360', '6', '有力', '0', 'images/b2e357fc74e04c6b8875b3aff40205b3.jpeg', '6', '0', '0', '2019-06-11');
INSERT INTO `product` VALUES ('19', '1', '5.00', '3.00', '20190101', '60', '6', '有力', '2', '', '2', '40', '0', '2019-06-11');
INSERT INTO `product` VALUES ('20', '20190623', '10.00', '10.00', '20190623', '80', '6', '有力', '0', 'images/776b25fb48664bbb9365b8d114f67f19.png', '8', '10', '0', '2019-06-13');
INSERT INTO `product` VALUES ('21', '20190623', '20.00', '20.00', '20190623', '80', '6', '有力', '0', 'images/2dae4412e726467b80a80b27afed643a.png', '8', '10', '0', '2019-06-13');
INSERT INTO `product` VALUES ('22', '20190623', '20.00', '10.00', '20190623', '80', '6', '有力', '0', 'images/632029291b5946c297eaf50573d1add7.png', '8', '40', '0', '2019-06-13');
INSERT INTO `product` VALUES ('23', '修改之后', '10.00', '10.00', '20190623', '60', '6', '有力', '0', 'images/5eb148e2f82240f5b23182465d04107e.jpeg', '8', '10', '0', '2019-06-23');
INSERT INTO `product` VALUES ('24', 'JSON', '12.00', '12.00', '20190623', '20', '7', '猪之家腊肠', '0', 'images/7f3e6f20b91b4605b590bbb21c951d43.jpeg', '7', '40', '0', '2019-06-23');
INSERT INTO `product` VALUES ('27', '34', '34.00', '34.00', '20190623', '34', '7', '猪之家腊肠', '0', '', '9', '34', '0', '2019-06-23');
INSERT INTO `product` VALUES ('28', '便携式衣架', '39.90', '39.90', '20190623', '365', '1', '齐来乐事', '1', 'images/3710fc01575c4a6f9af4a0f8dbd80401.jpeg', '2', '50', '0', '2019-06-23');
INSERT INTO `product` VALUES ('29', '加长皮毛外套', '199.00', '189.00', '20190623', '365', '8', '衣身有你', '1', 'images/ab16d89d1fc54bf395ba25322fe212ea.png', '3', '20', '0', '2019-06-23');
INSERT INTO `product` VALUES ('30', '复古线绒戴帽外套', '69.00', '69.00', '20190623', '365', '8', '衣身有你', '1', 'images/84ee15ad262f493dbffcd8ef58b79f1f.jpeg', '3', '20', '0', '2019-06-23');
INSERT INTO `product` VALUES ('31', '线纹连衣裙', '109.00', '100.00', '20190623', '365', '8', '衣身有你', '1', 'images/a24da149f3b744de87bee1fe279b37a2.jpeg', '3', '10', '0', '2019-06-23');
INSERT INTO `product` VALUES ('32', '超酷长袖男式上衣', '59.90', '49.90', '20190623', '368', '8', '衣身有你', '1', 'images/564a8acf12af421285118abd6a135c6b.png', '3', '22', '0', '2019-06-23');
INSERT INTO `product` VALUES ('33', '萌小妹连衣裙摆长袖加绒', '59.00', '59.00', '20190623', '368', '8', '衣身有你', '1', 'images/6825fa52a69c4342b09c281cf2acaa15.jpeg', '3', '10', '0', '2019-06-23');
-- ----------------------------
-- Table structure for secondcatalog
-- ----------------------------
DROP TABLE IF EXISTS `secondcatalog`;
CREATE TABLE `secondcatalog` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '扩展属性ID',
`name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '扩展属名称',
`cid` int(11) NOT NULL COMMENT '分类ID',
PRIMARY KEY (`id`),
KEY `cid` (`cid`),
CONSTRAINT `cid` FOREIGN KEY (`cid`) REFERENCES `catalog` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=25 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of secondcatalog
-- ----------------------------
INSERT INTO `secondcatalog` VALUES ('1', '规格', '1');
INSERT INTO `secondcatalog` VALUES ('2', '形状', '1');
INSERT INTO `secondcatalog` VALUES ('3', '颜色', '1');
INSERT INTO `secondcatalog` VALUES ('4', '品牌', '2');
INSERT INTO `secondcatalog` VALUES ('5', '类型', '2');
INSERT INTO `secondcatalog` VALUES ('6', '用途', '2');
INSERT INTO `secondcatalog` VALUES ('7', '风格', '2');
INSERT INTO `secondcatalog` VALUES ('8', '重量', '1');
INSERT INTO `secondcatalog` VALUES ('9', '功能疗效', '6');
INSERT INTO `secondcatalog` VALUES ('10', '品牌', '7');
INSERT INTO `secondcatalog` VALUES ('13', '材料', '2');
INSERT INTO `secondcatalog` VALUES ('14', '口味', '1');
INSERT INTO `secondcatalog` VALUES ('15', '品牌', '1');
INSERT INTO `secondcatalog` VALUES ('16', '尺码', '5');
INSERT INTO `secondcatalog` VALUES ('17', '款式', '5');
INSERT INTO `secondcatalog` VALUES ('18', '适用人群', '5');
INSERT INTO `secondcatalog` VALUES ('19', '材质', '5');
INSERT INTO `secondcatalog` VALUES ('20', '品牌', '5');
INSERT INTO `secondcatalog` VALUES ('21', '尺码', '3');
INSERT INTO `secondcatalog` VALUES ('22', '款式', '3');
INSERT INTO `secondcatalog` VALUES ('23', '品牌', '3');
INSERT INTO `secondcatalog` VALUES ('24', '适用人群', '3');
-- ----------------------------
-- Table structure for user
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`user_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '用户ID',
`user_name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户登录名',
`user_password` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户登录密码',
`realname` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '用户实名',
`user_sex` varchar(2) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '性别',
`user_tel` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '联系电话',
`user_email` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '邮箱',
`user_addr` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '地址',
`user_delete` int(2) DEFAULT '0' COMMENT '用户状态',
PRIMARY KEY (`user_id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
-- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES ('2', 'user', '1111', '用户1', '男', '12345678900', '12345678900@139.com', '岭南师范学院本校区', '0');
INSERT INTO `user` VALUES ('3', '张三', '0000', '张三', '男', '12345678901', '12345678901@139.com', '岭南师范学院', '0');
INSERT INTO `user` VALUES ('6', 'zhangsan', '0000', '张三', '男', '12345678900', '12345678900@139.com', '12', '0');
INSERT INTO `user` VALUES ('10', 'YQ', 'abcabc', null, '男', null, '15768501236@139.com', null, '0');
| true |
f4643da30ffca38154a82e4dfc2d270a1519b489 | SQL | daweifly1/xgit-shop-pom | /shop-server/src/main/java/doc/ALL_SQL.sql | UTF-8 | 3,685 | 3.078125 | 3 | [] | no_license | drop TABLE if exists t_goods;
-- 建表SQL
CREATE TABLE t_goods (
id bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键',
brand_id bigint(20) NULL COMMENT '品牌ID',
goods_category_id bigint(20) NULL COMMENT '类目id',
feight_template_id bigint(20) NULL COMMENT '运费模板',
goods_attribute_category_id bigint(20) NULL COMMENT '属性分类id',
name varchar(255) NULL COMMENT '名称',
pic varchar(255) NULL COMMENT '图片',
goods_sn varchar(255) NULL COMMENT '货号',
delete_status int(10) NULL COMMENT '删除状态：0->未删除；1->已删除',
publish_status int(10) NULL COMMENT '上架状态：0->下架；1->上架',
new_status int(10) NULL COMMENT '新品状态:0->不是新品；1->新品',
recommand_status int(10) NULL COMMENT '推荐状态；0->不推荐；1->推荐',
verify_status int(10) NULL COMMENT '审核状态：0->未审核；1->审核通过',
sort bigint(20) NULL COMMENT '排序',
sale int(10) NULL COMMENT '销量',
price DECIMAL NULL COMMENT '价格',
promotion_price bigint(20) NULL COMMENT '促销价格',
gift_growth int(10) NULL COMMENT '赠送的成长值',
gift_point int(10) NULL COMMENT '赠送的积分',
use_point_limit int(10) NULL COMMENT '限制使用的积分数',
sub_title varchar(255) NULL COMMENT '副标题',
description varchar(255) NULL COMMENT '商品描述',
original_price bigint(20) NULL COMMENT '市场价',
stock int(10) NULL COMMENT '库存',
low_stock int(10) NULL COMMENT '库存预警值',
unit varchar(255) NULL COMMENT '单位',
weight bigint(20) NULL COMMENT '商品重量，默认为克',
preview_status int(10) NULL COMMENT '是否为预告商品：0->不是；1->是',
service_ids varchar(255) NULL COMMENT '以逗号分割的产品服务：1->无忧退货；2->快速退款；3->免费包邮',
keywords varchar(255) NULL COMMENT '关键词',
note varchar(255) NULL COMMENT '备注',
album_pics varchar(255) NULL COMMENT '画册图片，连产品图片限制为5张，以逗号分割',
detail_title varchar(255) NULL COMMENT '详细标题',
detail_desc varchar(255) NULL COMMENT '详情描述',
detail_html varchar(255) NULL COMMENT '产品详情网页内容',
detail_mobile_html varchar(255) NULL COMMENT '移动端网页详情',
promotion_start_time timestamp NULL COMMENT '促销开始时间',
promotion_end_time timestamp NULL COMMENT '促销结束时间',
promotion_per_limit int(10) NULL COMMENT '活动限购数量',
promotion_type int(10) NULL COMMENT '促销类型：0->没有促销使用原价;1->使用促销价；2->使用会员价；3->使用阶梯价格；4->使用满减价格；5->限时购',
brand_name varchar(255) NULL COMMENT '品牌名称',
goods_category_name varchar(255) NULL COMMENT '商品分类名称',
`db_create_author` varchar(64) DEFAULT NULL COMMENT '操作人',
`db_create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`db_update_author` varchar(64) DEFAULT NULL COMMENT '编辑人',
`db_update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='商品信息';
| true |
506360798951dc0e531ead8592a4176d1f9869bf | SQL | garygriswold/SafeBible | /Server/aws/desktop/DDL_SQL/VideoViewsCreate.sql | UTF-8 | 865 | 3.15625 | 3 | [
"MIT",
"LicenseRef-scancode-public-domain"
] | permissive | -- This SQL Files is used to create the VideoAnalytics table
-- This file is run manually as needed to create this table.
DROP TABLE IF EXISTS VideoViews;
CREATE TABLE VideoViews(
sessionId TEXT NOT NULL,
timeStarted TEXT NOT NULL,
mediaSource TEXT NOT NULL,
mediaId TEXT NOT NULL,
languageId TEXT NOT NULL,
silLang TEXT NOT NULL,
isStreaming INT NOT NULL, -- Boolean 0 or 1
language TEXT NOT NULL,
country TEXT NOT NULL,
locale TEXT NOT NULL,
deviceType TEXT NOT NULL,
deviceFamily TEXT NOT NULL,
deviceName TEXT NOT NULL,
deviceOS TEXT NOT NULL,
osVersion TEXT NOT NULL,
appName TEXT NOT NULL,
appVersion TEXT NOT NULL,
timeCompleted TEXT NULL,
elapsedTime INT NULL,
mediaViewStartingPosition INT NULL,
mediaTimeViewInSeconds INT NULL,
mediaViewCompleted INT NULL, -- Boolean 0 or 1
PRIMARY KEY (sessionId, timeStarted)
);
| true |
af2f200b6e56fc7e54053fb53bd0ecb9e8ed8df1 | SQL | sweetpand/Algorithms | /HackerRank/Solutions/SQL/Employee_Salaries.sql | UTF-8 | 261 | 3.046875 | 3 | [
"MIT"
] | permissive | /*
* Take advantage of boolean operators in the WHERE clause to filter the salary and months,
* and then use the ORDER_BY statement to order your results as specified.
*/
SELECT NAME FROM EMPLOYEE WHERE SALARY > 2000 AND MONTHS < 10 ORDER BY EMPLOYEE_ID ASC
| true |
76022d9401ecf540ea97b54e1539f1ff043c33f5 | SQL | cs-cena/mine | /sql-practice/company/week3/lecture3.sql | UTF-8 | 23,300 | 3.6875 | 4 | [] | no_license | ------------------------------------------------------------------------------------------------------------
作业
mysql 语法, impala里面不适用
1. convert (varchar(10),creationdate,120)
to_date(creationdate)
varchar(10)表示的是设置可以存储的最大字符串长度为10个字节
style数字在转换时间时的含义如下:
------------------------------------------------------------------------------------------------------------
Style(2位表示年份)| Style(4位表示年份) | 输入输出格式
------------------------------------------------------------------------------------------------------------
0 | 100 | mon dd yyyy hh:miAM(或PM)
------------------------------------------------------------------------------------------------------------
1 | 101 美国 | mm/dd/yy
------------------------------------------------------------------------------------------------------------
2 | 102 ANSI | yy-mm-dd
------------------------------------------------------------------------------------------------------------
3 | 103 英法 | dd/mm/yy
------------------------------------------------------------------------------------------------------------
4 | 104 德国 | dd.mm.yy
------------------------------------------------------------------------------------------------------------
5 | 105 意大利 | dd-mm-yy
------------------------------------------------------------------------------------------------------------
6 | 106 | dd mon yy
------------------------------------------------------------------------------------------------------------
7 | 107 | mon dd,yy
------------------------------------------------------------------------------------------------------------
8 | 108 | hh:mm:ss
------------------------------------------------------------------------------------------------------------
9 | 109 | mon dd yyyy hh:mi:ss:mmmmAM(或PM)
------------------------------------------------------------------------------------------------------------
10 | 110 美国 | mm-dd-yy
------------------------------------------------------------------------------------------------------------
11 | 111 日本 | yy/mm/dd
------------------------------------------------------------------------------------------------------------
12 | 112 ISO | yymmdd
------------------------------------------------------------------------------------------------------------
13 | 113 欧洲默认值 | dd mon yyyy hh:mi:ss:mmm(24小时制)
------------------------------------------------------------------------------------------------------------
14 | 114 | hh:mi:ss:mmm(24小时制)
------------------------------------------------------------------------------------------------------------
20 | 120 ODBC 规范 | yyyy-mm-dd hh:mi:ss(24小时制)
------------------------------------------------------------------------------------------------------------
21 | 121 | yyyy-mm-dd hh:mi:ss:mmm(24小时制)
------------------------------------------------------------------------------------------------------------
2. 使用with(nolock)可以使SQL查询效率增加33%，且查询不受其它排他锁阻塞
3. select into #表名
建立临时表
临时表只在当前连接可见，当关闭连接时，会自动删除表并释放所有空间
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
4. sum 和 count的区别
例子：
userid | 别的什么鬼
10086 | 'hahaha'
10000 | 'hehehe'
null | 'blabla'
95555 | 'xixixi'
count(userid) >>>> 3
sum(userid) >>>> 10086+10000+ null +95555 = null 10086+10000 +95555>>>115641
P.s:使用聚合函数一定不要忘了group by!!!!!
count(userid) == sum(case when userid is not null then 1 else 0 end)
5. where 条件里因为执行顺序的原因不能对聚合函数进行限制
执行顺序：join > where > 聚合函数 > having
having sum(tmm)>= 3
6. 顺序问题：
先拿出目标客户，再连接他们的相关信息来排序和聚合；
因为有的表很大，如果将表内所有用户记录拿来排序会非常卡
7. 刚刚重命名的字段不能马上使用新名字
select substr(creationdate,1,10) as fbnyr .........
from .................
where ..................
group by substr(creationdate,1,10)
8. row_number()over()是一个字段，应该写在select里面
select
from(select row_number()over() num
from
where)
where num = 1
==
create test1
select row_number()over() num
from
where
create test2
select
from test1
where num = 1
9. 成交的状态不止一种
10. datediff(a,b) 是用a的时间减去b的返回天数，a是更接近未来的时间
例子: select datediff('2018-03-01','2018-01-01') >>>>59
11. case when xxxx then 聚合函数 end from .... group by ....这样写会报错
例子：
CASE WHEN cre_dt >= '2018-04-26' THEN sum(amount) ELSE 0 END
AnalysisException: select list expression not produced by aggregation output (missing from GROUP BY clause?)
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
建表的区别
drop & create table 删除原表再重新创建
insert overwrite table 覆盖原表，要求新插入数据的数据类型、顺序都与原表一致
insert into table 在原表中插入新内容，要求新插入数据的数据类型、顺序都与原表一致
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
指定信息的提取
1.已知长度、格式
instr(content,指定字符,起始位置) 第一个出现指定字符的位置
substr(内容,起始位置,长度)
例子：
content = '今天我给15013236760发了2333333和15045457870'
（1）提取该短信中的第一个号码
select substr(content, -- 内容
instr(content,'1') -- 起始位置
,11) -- 长度
（2）提取该短信中的第二个号码
substr(content, -- 内容
instr(content, '1', instr(content,'1')+11),-- 起始位置
-- 内容 指定字符 起始位置
11)-- 长度
练习：
content = '【快捷支付】恭喜您成功支付15.00元，请在【个人中心】-【银行卡】中查看支付详情。【我家门口的银行】'
提取出前2个和最后一个【】中的内容
select substr(content,
instr(content, '【')+3，
instr(content, '】') - instr(content, '【') -3) name1
-- 起始位置:
-- instr(content, '【')
-- 长度 = 】位置 - 【位置:
-- instr(content, '】') - instr(content, '【') -3
,substr(content,instr(content, '【', instr(content, '】')+3)，instr(content, '】', instr(content, '】')+3) - instr(content, '【', instr(content, '】')+3)-3) name2
-- 起始位置
-- instr(content, '【', instr(content, '】')+3)
-- 长度 = 】位置 - 第二个【位置
-- instr(content, '】', instr(content, '】')+3) - instr(content, '【', instr(content, '】')+3)-3
,substr(content,起始位置，长度) last_name
substr(content,
instr(content, '【'，-1)+3，
instr(content, '】'，-1) - instr(content, '【'，-1) -3) name1
如果不好理解的话可以理解像下面这么想：
1. 第一个【的结束位：instr(content, '【')+3
2. 第一个】的结束位：instr(content, '】')+3
3. 第二个【的结束位: instr(content, '【', 第一个】的结束位) = instr(content, '【',instr(content, '】')+3)
4. 第二个】的结束位: instr(content, '】', 第一个】的结束位) = instr(content, '】',instr(content, '】')+3)
5.第一个【】中的长度 = 第一个】的结束位 - 第一个【的结束位 - 3
6.第二个【】中的长度 = 第二个】的结束位 - 第二个【的结束位 - 3
*2.正则
- 表示字符的规则：
. 匹配任意一个字符
[] 满足的是一个有限的集合
[^] 对括号中的东西取反
- 描述数量的规则：
* 匹配前一个字符出现0次或无限次（即可有可无） *前面的东西出现多少次
+ 匹配前一个字符出现1次或无限次（即至少有1次）
? 匹配前一个字符出现1次或者0次（即0或1次）
{m} 匹配前一个字符出现m次
{m.} 匹配前一个字符至少出现m次
{m,n}匹配前一个字符出现m到n次
- 表示边界的规则：
^ 匹配字符串开头
$ 匹配字符串结尾
- 匹配分组的规则
| 匹配左右任意一个
(ab) 将括号中的字符作为一个分组
150-2323-6760
- 贪婪模式：尽量匹配多的内容，有时候会使拿出来的东西并不是想要的精确内容
关闭：在数量修饰符后加上一个？
- regexp_extract(内容,正则表达式,返回第几个括号中的内容)
- regexp_replace(phonenumber, '-', '')
content = '今天我给15013236760发了2333333和15045457870'
- regexp_extract(content, '(^[^0-9]*) ([1][0-9]{10})([^0-9]) (.*$)', 2) -- content中的第一个手机号 another : -- regexp_extract(content, '([^0-9]*) ([1][0-9]{10})([^0-9]) (.*$)', 2
但是这么拿的话，只有content第一次出现的数字就是手机号的时候才行，如果content = '2333333，今天我给15013236760发了15045457870'就不行，如果以手机号开头也不行
regexp_extract(content, '(^|^.*?[^0-9]) ([1][0-9]{10})([^0-9].*$|$)', 2)
可以避免这些问题
'可疑行为: 该身份证号已经被认证过, 身份证为: ***, 真实姓名为: **, UserAgent 为: PPD-LoanApp/6.1.7 (vivo;vivo X20A;C29B219C72DD771684C165512CBCEC6B;Android/7.1.1'
regexp_extract (content, '(^[^0-9]+) ([0-9]{18}|[0-9]{15}) (.*$)', 2)
例子：
content = '【快捷支付】恭喜您成功支付15.00元，请在【个人中心】-【银行卡】中查看支付详情。【我家门口的银行】'
提取出前2个和最后一个【】中的内容
select regexp_extract(content,'(^[^【]*)(【)(.*?)(】)(.*$)',3) name1
,regexp_extract(content,'(^[^【]*)(【)(.*?)(】)(.*$)',5) content1
.......
select regexp_extract(content1,'(^[^【]*)(【)(.*?)(】)(.*$)',3) name2
,regexp_extract(content,'(^.*)(【)(.*?)(】)([^】]*$)',3) last_name
练习：
content = '可疑行为，用已存在身份证，姓名***，身份证****，UserAgent：loan-4.5.0 (vivo;vivo X9;864277036057965;6.0.1;4)'
取出里面的身份证号
regexp_extract(lower('可疑行为，用已存在身份证，姓名***，身份证****，UserAgent：loan-4.5.0 (vivo;vivo X9;864277036057965;6.0.1;4)'),
'(^[^0-9]*)([^0][0-9]{17}|^[^0][0-9]{14}|^[^0][0-9]{16}x)(.*$)',2)
上课跑不出来的原因是忘记了在前面加select，然后用了一个中文的逗号=。。=
--------------------------------------------------------------------------------------------------------------------
将结构相同的表进行拼接： union all
有时候会将相同类型但是来源不同的时候放在不同的表里，但使用的时候需要结合使用，这时候就需要用到union all
例子：
拿出2017年12月到2018年2月的所有登录成功的用户
2017年登入登出表 ods.tbloginlogby2017
2018年登入登出表 ods.tbloginlogby2018
表中字段: userid, inserttime, result(登录成功，密码错误，账户不存在), ip
select userid, count(inserttime)
from(
select userid,inserttime
from ods.tbloginlogby2017
where inserttime >= '2017-12-01' and result = '登录成功'
union all
select userid,inserttime
from ods.tbloginlogby2018
where inserttime < '2018-03-01' and result = '登录成功'
)a
group by userid
having count(inserttime) > 50
如果想要选出里面登录总登录次数大于50次的用户呢
---------------------------------------------------------------------------------------------------
同IMEI/IMSI/cookie/flash逻辑
假装已有一张存有目标客户的表 test.target_customers
字段：userid, listingid, cre_dt
userid | listingid | cre_dt | cookie | userid2
u1 | l1 | 2018-01-01 | cookie1 | u1
u1 | l1 | 2018-01-01 | cookie1 | u2
cookie/flash的表：ods.watermark
字段：userid, cookie, flash, inserttime
userid | cookie | inserttime
u1 | cookie1 | inserttime1
u2 | cookie1 | inserttime2
u2 | cookie2 | inserttime3
imei not ('','0','.','0000-000000-000000000')
-- 选出该用户所有的cookie号
create table test.same_cookie1 stored as parquet as
select a.*, b.cookie
from test.target_customers a
inner join ods.watermark b on a.userid = b.userid
where b.inserttime < a.cre_dt and b.cookie > 0
-- 连接上同cookie的用户
create table test.same_cookie0 stored as parquet as
select a.userid u1, a.listingid, a.cre_dt, a.cookie, b.userid u2
from test.same_cookie1 a
inner join ods.watermark b
on a.cookie = b.cookie -- 同cookie
and a.userid<>b.userid -- 排除本人
and b.inserttime < a.cre_dt
and b.userid > 0
listingid | 123445 | u2 | 2018-01-01 00:00:01
listingid | 123445 | u2 | 2018-01-09 00:00:01
-- 计算同cookie人数
create table test.same_cookie2 stored as parquet as
select listingid,cookie, count(distinct u2)
from test.same_cookie0
group by listingid, cookie
IMEI/IMSI的表：ods.mobileinfo
字段：userid, IMEI, IMSI, inserttime
记得排除杂数据~
--------------------------------------------------------------------------------------------------------------------
作业：
1. （1）2017年7-10月的发标用户，最后一次修改的qq
结果：userid | listingid | cre_dt | last_qq |
（2）计算发标前历史上曾经同这个qq的人数（排除用户本人）
结果：userid | listingid | cre_dt | last_qq | u2 |
发标表：edw.cmn_listing
字段： userid, listingid, cre_dt
前台修改记录表：ods.ppdai_user_log_userupdateinfologs
字段：userid, creationdate(修改时间),newvalue(新值),oldvalue(旧值),tablefield
后台修改记录表：ods.ppdai_user_log_user_info_revise_history
字段：userid, creationdate(修改时间),newvalue(新值),oldvalue(旧值),categoryid=116
2. （1）2017年7-10月的发标用户，发标前7天登入登出中含有可疑行为(description中含有关键字‘可疑行为’)的记录
结果：userid | listingid | cre_dt | description |
（2）提取出所有可疑行为记录中的真实姓名和身份证号
结果：userid | realname | idnumber
发标表：edw.cmn_listing
字段： userid, listingid, cre_dt
用户活动记录表 ods.user_activity
字段：userid, description, creationdate
可疑行为记录样本：
'可疑行为: 该身份证号已经被认证过, 身份证为: ****, 真实姓名为: **, UserAgent 为: PPD-LoanApp/6.1.7 (vivo;vivo X20A;C29B219C72DD771684C165512CBCEC6B;Android/7.1.1'
substr(description , instr(description,':',instr(description,':'))+2 , instr(description,':',instr(description,':',instr(description,':'))+1)-16-(instr(description,':',instr(description,':')+2) )) --取身份证
substr(description,
instr(description,':',instr(description,':')+1)+2,
instr(description,':',instr(description,':',instr(description,':')+1)+1) - 19 - instr(description,':',instr(description,':')+1))
substr(description , instr(description,'名为: ')+8 , instr(description,', UserAgent')- instr(description,'名为: ')+8 ) --取名字
instr(description,':',instr(description,':',instr(description,':')+1)-16-(instr(description,':',instr(description,':')+2) ) )
3. （1）2017年7-10月的发标用户，发标前7天登入登出中含有可疑行为的记录的人是否存在历史同qq中
结果：u1| listingid | cre_dt | last_qq | u2 | whether_qq
（2）2017年7-10月的发标用户，出现这种情况的人数
结果：u1| listingid | cre_dt | renshu |
身份证用户名对应表 fqz.luanqibazao_ud_temp
字段: idnumber | userid
作业答案：
1. （1）2017年7-10月的发标用户，最后一次修改的qq
结果：userid | listingid | cre_dt | last_qq |
（2）计算发标前历史上曾经同这个qq的人数（排除用户本人）
结果：userid | listingid | cre_dt | last_qq | u2 |
发标表：edw.cmn_listing
字段： userid, listingid, cre_dt
前台修改记录表：ods.ppdai_user_log_userupdateinfologs
字段：userid, creationdate(修改时间),newvalue(新值),oldvalue(旧值),tablefield
后台修改记录表：ods.ppdai_user_log_user_info_revise_history
字段：userid, creationdate(修改时间),newvalue(新值),oldvalue(旧值),tablefield
1.（1）
-- 拿出用户
create table test.t1 as
select userid, listingid, cre_dt
from edw.cmn_listing
where cre_dt >= '2017-07-01' and cre_dt < '2017-11-01'
-- 连接前后台修改记录
create table test.t2 as
select a.userid, a.listingid, a.cre_dt, b.newvalue, b.creationdate
from edw.cmn_listing a
left join ods.ppdai_user_log_userupdateinfologs b
on a.userid = b.userid
and a.cre_dt > b.creationdate
and lower(b.tablefield) like '%qq%'
and b.oldvalue <> b.newvalue
union all
select a.userid, a.listingid, a.cre_dt, b.newvalue, b.creationdate
from edw.cmn_listing a
left join ods.ppdai_user_log_user_info_revise_history b
on a.userid = b.userid
and a.cre_dt > b.creationdate
and b.categoryid = 116
and b.oldvalue <> b.newvalue
-- 排序，选出最后一次修改记录
create table test.t3 as
select userid, listingid, cre_dt, newvalue last_qq
from(
select userid, listingid, cre_dt, newvalue, row_number()over(partition by listingid order by creationdate decs) num
from test.t2
) a
where num = 1
1.(2)
-- 拿出历史上同qq的人
create table test.t4 as
select distinct a.*
from(
select a.userid, a.listingid, a.cre_dt, a.last_qq, b.userid u2
from test.t3 a
left join ods.ppdai_user_log_userupdateinfologs b
on a.last_qq = b.newvalue
and a.cre_dt > b.creationdate
and lower(b.tablefield) like '%qq%'
and a.userid <> b.userid
union all
select a.userid, a.listingid, a.cre_dt, a.last_qq, b.userid u2
from test.t3 a
left join ods.ppdai_user_log_user_info_revise_history b
on a.last_qq = b.newvalue
and a.cre_dt > b.creationdate
and b.tablefield = 116
and a.userid <> b.userid
) a
-- 计数
create table test.t5 as
select userid, listingid, cre_dt, last_qq, count(u2) u2
from test.t4
group by userid, listingid, cre_dt, last_qq
2. （1）2017年7-10月的发标用户，发标前7天登入登出中
含有可疑行为(description中含有关键字‘可疑行为’)的记录
结果：userid | listingid | cre_dt | description |
（2）提取出所有可疑行为记录中的真实姓名和身份证号
结果：userid | listingid | cre_dt | realname | idnumber
发标表：edw.cmn_listing
字段： userid, listingid, cre_dt
用户活动记录表 ods.user_activity
字段：userid, description, creationdate
可疑行为记录样本：
'可疑行为: 该身份证号已经被认证过, 身份证为: ***, 真实姓名为: **, UserAgent 为: PPD-LoanApp/6.1.7 (vivo;vivo X20A;C29B219C72DD771684C165512CBCEC6B;Android/7.1.1'
2.(1)
-- 拿出可疑记录
create table test.t6 as
select a.*, b.description
from test.t1 a
left join ods.user_activity b
on a.userid = b.userid
and a.cre_dt > b.creationdate
and b.description like '%可疑行为%'
and datediff(a.cre_dt, b.creationdate) <= 7
2.(2)
-- 提取记录中的真实姓名和身份证号（用instr、substr）
create table test.t7 as
select userid, listingid, cre_dt
,substr(description, instr(description,'真实姓名为: ')+length('真实姓名为: '), instr(description,', UserAgent 为') - (instr(description,'真实姓名为: ')+length('真实姓名为: '))) realname
,substr(description, instr(description,'身份证为: ')+length('身份证为: '), instr(description,', 真实姓名为:') - (instr(description,'身份证为:')+length('身份证为: '))) idnumber
from test.t6
-- 用正则
create table test.t7 as
select userid, listingid, cre_dt
,regexp_extract(lower(description),'(^[0-9]*)([0-9]{15}|[0-9]{18}|[0-9]{17}x)(.*$)',2) idnumber
,regexp_extract(description,
'(可疑行为: 该身份证号已经被认证过, 身份证为: )([0-9]{15}|[0-9]{18}|[0-9]{17}x)(, 真实姓名为: )(.*)(, UserAgent 为: PPD-LoanApp/6.1.7 (vivo;vivo X20A;C29B219C72DD771684C165512CBCEC6B;Android/7.1.1)',
4) realname
from test.t6
3. （1）2017年7-10月的发标用户，发标前7天登入登出中含有可疑行为的记录的人是否存在历史同qq中
结果：u1| listingid | cre_dt | last_qq | u2 | whether_qq
（2）2017年7-10月的发标用户，出现这种情况的人数
结果：u1| listingid | cre_dt | renshu |
身份证用户名对应表 fqz.luanqibazao_ud_temp
字段: idnumber | userid
3.(1)
-- 拿出可疑行为对应的用户
create table test.t8 as
select a.userid u1, a.listingid, a.cre_dt, b.userid u2
from test.t7 a
inner join fqz.luanqibazao_ud_temp b
on a.idnumber = b.idnumber
-- 匹配有可疑行为的人是否在同qq中
create table test.t9 as
select a.u1, a.listingid, a.cre_dt, b.last_qq, a.u2
,case when c.u2 is not null then 1 else 0 end as whether_qq
from test.t8 a
left join test.t4 b on a.u1 = b.userid
left join test.t4 c on a.u1 = c.userid and a.u2 = c.u2
-- 计算人数
create table test.t10 as
select u1, listingid, cre_dt, count(distinct u2)
from test.t9
group by u1, listingid, cre_dt
| true |
de8a8db79b304aa773825a0e4479e8ce6bfed3aa | SQL | AndyWolfZwei/sea_map_IPAC | /flaskr/schema.sql | UTF-8 | 916 | 3.546875 | 4 | [] | no_license | DROP TABLE IF EXISTS user;
DROP TABLE IF EXISTS post;
DROP TABLE IF EXISTS path_display;
DROP TABLE IF EXISTS path_transfer;
DROP TABLE IF EXISTS states;
CREATE TABLE post (
id INTEGER PRIMARY KEY AUTOINCREMENT,
author_id INTEGER NOT NULL,
created TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
title TEXT NOT NULL,
body TEXT NOT NULL,
FOREIGN KEY (author_id) REFERENCES user (id)
);
CREATE TABLE `user` (
id INTEGER PRIMARY KEY AUTOINCREMENT,
username TEXT UNIQUE NOT NULL,
password TEXT NOT NULL,
phone TEXT NOT NULL
);
CREATE TABLE `path_display` (
id INTEGER,
`x` FLOAT(4,7) NOT NULL,
`y` FLOAT(4,7) NOT NULL
);
CREATE TABLE `path_transfer` (
id INTEGER,
`x` FLOAT(4,7) NOT NULL,
`y` FLOAT(4,7) NOT NULL
);
CREATE TABLE `states` (
`state` SMALLINT DEFAULT 0,
`lon` FLOAT(4,6),
`lat` FLOAT(4,6),
`dir` INTEGER,
`speed` SMALLINT ,
`height` INTEGER,
`yaw` INTEGER
); | true |
bdd24525a30bfdba535ce42474611a577bf01afd | SQL | rd-dev-ukraine/demo-time-track | /database/LanceTrack.Database/Tables/ReadModels/DailyTimeData.sql | UTF-8 | 460 | 3.328125 | 3 | [
"MIT"
] | permissive | /*
* Read model (read model tables ends with Data)
* Contains hours reported per day by project and user
*
*/
create table DailyTimeData
(
Id int not null identity(1, 1),
ProjectId int not null,
UserId int not null,
Date date not null,
TotalHours decimal(18, 2) not null,
BilledHours decimal(18, 2) not null,
PaidHours decimal(18, 2) not null,
HourlyRate decimal(18, 2) not null default (0),
constraint PK_ProjectTimeData primary key (Id)
)
| true |
6af4162e0a76b936384bfef13e4bbef126b34016 | SQL | ameysathaye/H1BApp | /Pig/Assignment/avgtotalsales.sql | UTF-8 | 1,540 | 3.078125 | 3 | [] | no_license | totalsales1 = Load '/home/hduser/2000.txt' USING PigStorage(',') as (categoryid:chararray,categoryname:chararray,jan:double,feb:double,mar:double,apr:double,may:double,jun:double,jul:double,aug:double,sep:double,oct:double,nov:double,dec:double);
totalmnth = foreach totalsales1 generate categoryid,categoryname,jan+feb+mar+apr+may+jun+jul+aug+sep+oct+nov+dec as month;
totalsales2 = Load '/home/hduser/2001.txt' USING PigStorage(',') as (categoryid:chararray,categoryname:chararray,jan:double,feb:double,mar:double,apr:double,may:double,jun:double,jul:double,aug:double,sep:double,oct:double,nov:double,dec:double);
totalmnth1 = foreach totalsales2 generate categoryid,categoryname,jan+feb+mar+apr+may+jun+jul+aug+sep+oct+nov+dec as month;
totalsales3 = Load '/home/hduser/2002.txt' USING PigStorage(',') as (categoryid:chararray,categoryname:chararray,jan:double,feb:double,mar:double,apr:double,may:double,jun:double,jul:double,aug:double,sep:double,oct:double,nov:double,dec:double);
totalmnth2 = foreach totalsales3 generate categoryid,categoryname,jan+feb+mar+apr+may+jun+jul+aug+sep+oct+nov+dec as month;
joined1 = join totalmnth by $0,totalmnth1 by $0,totalmnth2 by $0;
joined2 = foreach joined1 generate $0,$1,$2,$5,$8;
avgsales = foreach joined2 generate $0,$1,((($3-$2)*100)/$2) as firstgrow,((($4-$3)*100)/$3) as secondgrow;
avgsales1 = foreach avgsales generate $0,$1,ROUND_TO((($2+$3)/2),2) as avgperc;
final = FILTER avgsales1 BY $2>=10.0;
store final into '/home/hduser/niit/pig/avg10grow' using PigStorage(',');
| true |
19c75b676a82f4237079a4cf595d845ed2cac243 | SQL | melaniehammad/FLATprotecc | /server_export.sql | UTF-8 | 627 | 3.375 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS `accounts` (
`id` int NOT NULL AUTO_INCREMENT,
`salt` char(24) NOT NULL,
`hashValue` char(24) NOT NULL,
`mail` varchar(100) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `mail` (`mail`)
);
CREATE TABLE IF NOT EXISTS `entry` (
`id` int NOT NULL AUTO_INCREMENT,
`acc_id` int NOT NULL,
`title` varchar(100) NOT NULL,
`username` varchar(100) DEFAULT NULL,
`mail` varchar(100) DEFAULT NULL,
`pwd` varchar(200) NOT NULL,
`com` varchar(400) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `entry` (`acc_id`),
CONSTRAINT `entry_ibfk_1` FOREIGN KEY (`acc_id`) REFERENCES `accounts` (`id`)
); | true |
d95f37158feacf08eef0ed36d81b25e490aa9f84 | SQL | ShruKin/Database-Management-Systems-Lab | /WEEK-3/2.sql | UTF-8 | 340 | 2.578125 | 3 | [
"MIT"
] | permissive | -- Create a table workers with following schema:
-- (worker id, first_name, last_name, salary, Dept_no, Dept_name, Designation)
create table workers
(
worker_id VARCHAR2(5),
first_name VARCHAR2(15),
last_name VARCHAR2(15),
salary number(7),
Dept_no NUMBER(3),
Dept_name VARCHAR2(20),
Designation VARCHAR2(10)
); | true |
5c59726a43926ec3cdd9d125b64b0e241b7da921 | SQL | jdcfandialan/ICS-SAIS | /database/tables/student_inbox.sql | UTF-8 | 183 | 2.515625 | 3 | [] | no_license | CREATE TABLE student_inbox(
sno VARCHAR2(10),
sidate DATE,
sisubject VARCHAR2(99),
sibody VARCHAR2(1000),
constraint si_sno_fk foreign key(sno) references student(sno)
);
| true |
4cdf15d7999348e7c3993bb4e7f1c2eb13fc14ba | SQL | Kwon-YoungSun/DataBase | /day06.sql | UHC | 14,567 | 3.953125 | 4 | [] | no_license | -- day06
/*
DML(Data Manipulation Language)
==> ó()ϴ
ȿ Insert, Update, Delete ɵ ԵǾ ִ.
--> DML ٷ ʴ´.
COMMIT ,
߰ DDL ,
Ǿ
ȴ.
1. INSERT
==> ο Էϴ
1 ] ---> ʵ Ͱ غǾִ
INSERT INTO
̺[(ʵ̸1, ʵ̸2, ...)]
VALUES(
1, 2, ...
);
2 ] ---> Ϻθ Ͱ غǾִ
INSERT INTO
̸̺(ʵ̸1, ʵ̸2, ..)
VALUES(
1, 2, ...
);
ǹ ]
̺ ʵ忡 Էϼ.
ǻ ]
ʵ ݵ ġؾ Ѵ.
ʵ ¿ µ ݵ ġؾ Ѵ.
ʵ ݵ ġؾ Ѵ.
ǽغ ]
EMP ̺ ؼ SAMPLE ̺
̺ ߰ϰ ϰ ϵ Ѵ.
̺ ؼ ̺ ]
CREATE TABLE ̸̺
AS
SELECT
*
FROM
ؿ ̸̺
WHERE
ǽ -- ϱ ؼ
;
NOT NULL 簡 ʴ´.
]
Ͱ غ ʾƼ Ͱ 쿡
1. NULL κ ä ȴ.
2. ʵ̸ ϸ ȴ.
*/
-- EMP ̺ ؼ SAMPLE01 ̺ .
CREATE TABLE
SAMPLE01
AS
SELECT
*
FROM
emp
WHERE
1 = 2
;
SELECT
*
FROM
sample01
;
/*
INSERT
̺ SAMPLE01 Ѹ ä.
*/
INSERT INTO
sample01
VALUES(
1000, 'JOY', 'SINGER', 9999, SYSDATE, 100, 2000, 30
);
INSERT INTO
sample01
VALUES(
9999, 'EUNS', 'BOSS', NULL, TO_DATE('2020/08/27', 'YY/MM/DD'), 3000, 2000, 10
);
select * from sample01;
COMMIT;
--TRUNCATE TABLE sample01;
-- Ի
INSERT INTO
sample01(empno, ename, job, mgr, hiredate, deptno)
VALUES(
1001, 'HYECHAN', 'MANAGER', 9999, SYSDATE, 30
);
CREATE TABLE
booseo
AS
SELECT
*
FROM
dept
WHERE
1 = 2
;
INSERT INTO
sample01(empno, ename) -- ==> ʵ̸ ʵ null ͷ ä ȴ.
VALUES(
'choisoonsil', 100 -- ==> ʵ̸ Է¼ ġʱ Է ȵȴ.
);
INSERT INTO
sample01(ename, empno)
VALUES(
'JIWOO', 1002
);
select * from sample01;
commit;
/*
UPDATE
==> ϴ
]
UPDATE
̸̺
SET
ʵ̸ = ,
ʵ̸ = ,
...
[ WHERE
ǽ
]
;
***
ǻ ]
WHERE
̺ ȴ.
2 ]
==> ؼ ϴ
UPDATE
̸̺
SET
(ʵ̸, ʵ̸, ..) = (
SELECT
ʵ̸, ʵ̸, ...
FROM
̸̺
WHERE
ǽ
)
[WHERE
ǽ
]
;
]
ʹ ̿ؼ ó ִ.
*/
-- JIWOO μȣ 10 ===> UPDATE
UPDATE
sample01
SET
deptno = 10
WHERE
ename = 'JIWOO'
;
SELECT * FROM sample01;
-- EMP ̺ WARD JOB, HIREDATE, SAL, COMM ͷ JIWOO .
UPDATE
sample01
SET
(job, hiredate, sal, comm) = (
SELECT
job, hiredate, sal, comm
FROM
emp
WHERE
ename = 'WARD'
)
WHERE
ename = 'JIWOO'
;
-- ȸ
SELECT * FROM sample01;
-- JIWOO mgr 9999, hiredate ¥ ϼ.
UPDATE
sample01
SET
mgr = 9999,
hiredate = TO_DATE('2020/08/27', 'YY/MM/DD')
WHERE
ename = 'JIWOO'
;
commit;
-- Ͽ UPDATE
UPDATE
sample01
SET
(mgr, hiredate) = (SELECT 9999, TO_DATE('2020/08/27', 'YY/MM/DD') FROM dual)
WHERE
ename = 'JIWOO'
;
SELECT * FROM sample01;
/*
]
HYECHAN ְ 1000 ݾ ϰ
Ŀ̼ JIWOO Ŀ̼ǰ Ŀ̼ ϼ.
*/
UPDATE
sample01
SET
sal = (
SELECT
MAX(sal) - 1000
FROM
sample01
),
comm = (
SELECT
comm
FROM
sample01
WHERE
ename = 'JIWOO'
)
WHERE
ename = 'HYECHAN'
;
commit;
/*
]
¥ Էؾ ʵ忡
Էϴ
Ŭ ¥ ͷ ȯ ִ to_date() Լ ڵȣؼ
ش ʵ ͷ Էϰ ȴ.
ƯĿ ´ ڵ ¥ͷ ȯ ǹǷ
̿ ڵʹ ¥ͷ ȯ ȵȴ.
==> ̷ ȯ Լ ȣؼ ó Ѵ.
*/
-------------------------------------------------------------------------------------------------
/*
DELETE
==> ߿ ʿ ϴ
]
DELETE
FROM
̸̺
[WHERE
ǽ
]
;
***
]
ɰ
Ͱ ȴ.
*/
DELETE FROM sample01; -- Ͱ ȴ.
rollback;
-- JOY ϼ.
DELETE FROM sample01
WHERE
ename = 'JOY'
;
SELECT * FROM sample01;
commit;
-----------------------------------------------------------------------------------------------------
/*
Ʈ ó
==> ǹ̷
Ŭ ó()ϴ ̴.
ڸ
츮 CREATE TABLE ???(...)
Ű ̰ ͺ̽ ȴ.
̰ ٸ ǥڸ
"Ʈ Ǿ."
ǥѴ.
κ Ű ǰ
װ Ʈ ̹Ƿ
ᱹ Ŭ ϳ Ʈ ȴ.
DML ŭ Ʈ .
==> DML ٷ ͺ̽ () Ǵ ƴϰ
(ӽ : ) Ƹ ȴ.
==> ᱹ Ʈ ʴ´.
DML Ʈ ߸ Ѵ.
̶ Ʈ ѹ Ͼ ȴ.
??
<==
DML ϴ ̴.
ͺ̽ ߿ Ἲ ̴.
̷ DML Ѽ Ʈ Ǹ
Ἲ ִ.
̷ ذϱ
Ʈ Ҵ.
ۿ Ƴ Ʈ óϴ
1. ڵ Ʈ ó
1) ϴ Ʈ ó Ͼ.(AUTO COMMIT)
==> sqlplus> exit
2) DDL ̳ DCL
2. Ʈ ó
1) COMMIT ̶
ۿ Ƴ ʴ (==> ͺ̽ ȵǴ )
==> Ʈ ϰ
ڵ
1. ؼ ý ˴ٿ Ǵ
2. SQLPLUS ϴ
1. ROLLBACK ̶
]
DML ٽ ؼ Ϻ ̶ ǴܵǸ
COMMIT ̶ ؼ Ʈ Ű
Ϻ ƴϴ ϸ
ROLLBACK ̶ ؼ ߸ ϵ Ѵ.
---------------------------------------------------------------------------------------------------
]
TRUNCATE DELETE
==> TRUNCATE : DDL Ҽ
DELETE : DML Ҽ
---------------------------------------------------------------------------------------------------
*/
CREATE TABLE SMP01
AS
SELECT
*
FROM
emp
;
SELECT * FROM smp01;
DELETE FROM smp01;
SELECT * FROM smp01; -- ǵ ִ.
ROLLBACK;
SELECT * FROM smp01;
TRUNCATE TABLE smp01; -- ǵ .
SELECT * FROM smp01;
ROLLBACK;
SELECT * FROM smp01;
-----------------------------------------------------------------------------------------------------
/*
ROLLBACK
==> DML Ư ġ åǸ
åǸ ̿ؼ ROLLBACK κ ִ.
]
SAVEPOINT Ʈ̸;
ROLLBACK Ű
]
ROLLBACK TO Ʈ̸;
]
SAVEPOINT A;
(1) DML
(2) DML
(3) DML
SAVEPOINT B;
(4) DML
(5) DML
(6) DML
SAVEPOINT C;
(7) DML
(8) DML
(9) DML
ROLLBACK TO C; ---> 7, 8, 9 ҵȴ.
ROLLBACK TO B; ---> 4, 5, 6 ҵȴ.
ROLLBACK TO A; ---> 1, 2, 3 ҵȴ.
]
Ʈ óǸ SAVEPOINT ڵ ıȴ.
SAVEPOINT A;
(1) DML
(2) DML
(3) DML
SAVEPOINT B;
(4) DML
(5) DML
(6) DML
SAVEPOINT C;
(7) DML
(8) DML
(9) DML
*/
--------------------------------------------------------------------------------------------------------------------
--
-- SYSTEM ؼ ۾Ѵ.
-- hello hello ϰ, ִ (unlock) .
-- hello
CREATE USER hello IDENTIFIED BY hello ACCOUNT UNLOCK;
/*
CREATE USER ̸ IDENTIFIED BY йȣ ACCOUNT UNLOCK;
*/
-- ο
GRANT resource, connect, SELECT ANY TABLE TO hello;
/*
ο
GRANT ̸ Ǵ (), ̸ Ǵ , ... TO ̸;
*/
--------------------------------------------------------------------------------------------------------------------
| true |
d1b8369401f1c9e78122713ffea46ae41e6e7a35 | SQL | abrance/mine | /wait/setup2.sql | UTF-8 | 534 | 3.46875 | 3 | [
"MIT"
] | permissive |
-- 创建用户 metadata，密码是 anyun100
CREATE USER 'metadata'@'localhost' identified by 'anyun100';
-- 创建数据库，存在则不创建
CREATE DATABASE IF NOT EXISTS metadata8 CHARACTER SET utf8mb4;
-- 将数据库 metadata 的所有权限都授权给用户 metadata
GRANT ALL ON metadata8.* to 'metadata'@'localhost';
GRANT ALL ON metadata8.* to 'metadata'@'%';
-- 允许 metadata 用户远程登录
GRANT ALL PRIVILEGES ON metadata8.* to 'metadata'@'%' IDENTIFIED BY 'anyun100' WITH GRANT OPTION;
FLUSH PRIVILEGES;
| true |
e734bd0ea266e69f832f5cae084776ec7a96e0ea | SQL | silence-do-good/stress-test-Postgres-and-MySQL | /dump/high/day08/select0915.sql | UTF-8 | 264 | 2.796875 | 3 | [] | no_license |
SELECT sen.name
FROM SENSOR sen, SENSOR_TYPE st, COVERAGE_INFRASTRUCTURE ci
WHERE sen.SENSOR_TYPE_ID=st.id AND st.name='WiFiAP' AND sen.id=ci.SENSOR_ID AND ci.INFRASTRUCTURE_ID=ANY(array['3224','4008','5214','2082','4039','1600','4221','3048','4091','3100_8'])
| true |
2947dd7547e4cfc672a2048025ab695ff441e86f | SQL | suleimanovayev/Internet-shop1 | /src/main/resources/init_db.sql | UTF-8 | 398 | 2.859375 | 3 | [] | no_license | CREATE SCHEMA `internetshop` DEFAULT CHARACTER SET utf8 ;
CREATE TABLE `internetshop`.`items` (
`item_id` INT NOT NULL AUTO_INCREMENT,
`name` VARCHAR(255) NOT NULL,
`price` DECIMAL(6,2) NOT NULL,
PRIMARY KEY (`item_id`));
INSERT INTO `internetshop`.`items` (`name`, `price`) VALUES ('Iphone 11', '1100');
INSERT INTO `internetshop`.`items` (`name`, `price`) VALUES ('Samsung U8', '900');
| true |
27e23487d23c76263f446d2169b45c40824d3070 | SQL | Manan94/CS631_Project | /ProjectSchemaAndQueries.sql | UTF-8 | 11,219 | 3.328125 | 3 | [] | no_license | Create table CUSTOMER (
CID INT (10) PRIMARY KEY AUTO_INCREMENT,
FName VARCHAR (30) NOT NULL,
LName VARCHAR (30) NOT NULL,
Email VARCHAR (30),
Address VARCHAR (50),
Phone INT (10),
Status VARCHAR (5));
Create table PRODUCT (
PID INT (10) PRIMARY KEY AUTO_INCREMENT,
PType VARCHAR (5) NOT NULL,
PName VARCHAR (30) NOT NULL,
PPrice INT (5),
Description VARCHAR (50),
PQuantity INT (5));
Create table CREDIT_CARD (
CCNumber VARCHAR (16) PRIMARY KEY,
SecNumber INT (3) NOT NULL,
OwnerName VARCHAR (20) NOT NULL,
CCType VARCHAR(10) NOT NULL,
CCAddress VARCHAR(50) NOT NULL,
ExpDate Date NOT NULL);
Create table STORED_CARD (
CCNumber VARCHAR (16) NOT NULL,
CID INT(10) NOT NULL,
PRIMARY KEY(CCNumber, CID),
FOREIGN KEY (CCNumber) REFERENCES CREDIT_CARD(CCNumber),
FOREIGN KEY (CID) REFERENCES CUSTOMER(CID));
Create table SILVER_AND_ABOVE (
CID INT(10) NOT NULL,
CreditLine DECIMAL NOT NULL,
PRIMARY KEY(CID),
FOREIGN KEY (CID) REFERENCES CUSTOMER(CID));
Create table SHIPPING_ADDRESS (
CID INT(10) NOT NULL,
SAName VARCHAR(20) NOT NULL,
RecepientName VARCHAR(20) NOT NULL,
Street VARCHAR(20) NOT NULL,
SNumber INT(5) NOT NULL,
City VARCHAR(20) NOT NULL,
Zip VARCHAR(5) NOT NULL,
State VARCHAR(20) NOT NULL,
Country VARCHAR(20) NOT NULL,
PRIMARY KEY(CID, SAName),
FOREIGN KEY (CID) REFERENCES CUSTOMER(CID));
Create table CART (
CartID INT(10) PRIMARY KEY AUTO_INCREMENT,
CID INT(10) NOT NULL,
SAName VARCHAR(20),
CCNumber VARCHAR (16),
TStatus VARCHAR(5),
TDate Date,
FOREIGN KEY (CID,SAName) REFERENCES SHIPPING_ADDRESS(CID,SAName));
Create table OFFER_PRODUCT (
PID INT (10) PRIMARY KEY,
OfferPrice DECIMAL NOT NULL,
FOREIGN KEY (PID) REFERENCES PRODUCT(PID));
Create table APPEARS_IN (
CartID INT(10) NOT NULL,
PID INT(10) NOT NULL,
Quantity INT(5) NOT NULL,
PriceSold DECIMAL NOT NULL,
PRIMARY KEY(PID, CartID),
FOREIGN KEY (PID) REFERENCES PRODUCT(PID),
FOREIGN KEY (CartID) REFERENCES CART(CartID));
Create table COMPUTER (
PID INT (10) PRIMARY KEY,
CPUType VARCHAR(20) NOT NULL,
FOREIGN KEY (PID) REFERENCES PRODUCT(PID));
Create table LAPTOP (
PID INT (10) PRIMARY KEY,
BType VARCHAR(20) NOT NULL,
Weight DECIMAL NOT NULL,
FOREIGN KEY (PID) REFERENCES COMPUTER(PID));
Create table PRINTER (
PID INT (10) PRIMARY KEY,
PrinterType VARCHAR(20) NOT NULL,
Resolution VARCHAR(20) NOT NULL,
FOREIGN KEY (PID) REFERENCES PRODUCT(PID));
INSERT INTO `customer` (`CID`, `FName`, `LName`, `Email`, `Address`, `Phone`, `Status`) VALUES
(NULL, 'Junaid', 'Malik', 'jm794@njit.edu', 'Newark, NJ', '1111111111', 'R');
INSERT INTO `customer` (`CID`, `FName`, `LName`, `Email`, `Address`, `Phone`, `Status`) VALUES
(NULL, 'Mannan', 'Gandhi', 'mg@njit.edu', 'Harrison, NJ', '1111111111', 'S');
INSERT INTO `customer` (`CID`, `FName`, `LName`, `Email`, `Address`, `Phone`, `Status`) VALUES
(NULL, 'Rahul', 'Sinha', 'rs@njit.edu', 'New York, NY', '1111111111', 'G');
INSERT INTO `customer` (`CID`, `FName`, `LName`, `Email`, `Address`, `Phone`, `Status`) VALUES
(NULL, 'John', 'Smith', 'js@njit.edu', 'New York, NY', '1111111111', 'P');
INSERT INTO `silver_and_above` (`CID`, `CreditLine`) VALUES ('2', '10'), ('3', '15'), ('4', '20');
INSERT INTO `credit_card` (`CCNumber`, `SecNumber`, `OwnerName`, `CCType`, `CCAddress`, `ExpDate`) VALUES
('1234123412341234', '123', 'Junaid Malik', 'Visa', 'Newark, NJ', '2018-07-12');
INSERT INTO `credit_card` (`CCNumber`, `SecNumber`, `OwnerName`, `CCType`, `CCAddress`, `ExpDate`) VALUES
('1111111111111111', '111', 'Mannan Gandhi', 'Master', 'New York, NY', '2019-09-12');
INSERT INTO `credit_card` (`CCNumber`, `SecNumber`, `OwnerName`, `CCType`, `CCAddress`, `ExpDate`) VALUES
('2222222222222222', '222', 'Dimitri', 'Master', 'Wallingford, CT', '2019-02-11');
INSERT INTO `credit_card` (`CCNumber`, `SecNumber`, `OwnerName`, `CCType`, `CCAddress`, `ExpDate`) VALUES
('3333333333333333', '333', 'Clark', 'Discover', 'Seattle, WA', '2018-03-10');
INSERT INTO `stored_card` (`CCNumber`, `CID`) VALUES ('1234123412341234', '1');
INSERT INTO `stored_card` (`CCNumber`, `CID`) VALUES ('1111111111111111', '2');
INSERT INTO `stored_card` (`CCNumber`, `CID`) VALUES ('2222222222222222', '3');
INSERT INTO `shipping_address` (`CID`, `SAName`, `RecepientName`, `Street`, `SNumber`, `City`, `Zip`, `State`, `Country`) VALUES
('1', 'Home', 'Junaid', 'Groove', '1', 'Newark', '07102', 'NJ', 'USA');
INSERT INTO `shipping_address` (`CID`, `SAName`, `RecepientName`, `Street`, `SNumber`, `City`, `Zip`, `State`, `Country`) VALUES
('2', 'Apartment', 'Gandhi', 'Broadway', '2', 'New York', '01102', 'NY', 'USA');
INSERT INTO `shipping_address` (`CID`, `SAName`, `RecepientName`, `Street`, `SNumber`, `City`, `Zip`, `State`, `Country`) VALUES
('3', 'Apartment', 'Rahul', 'Pamela', '1', 'Wallingford', '06492', 'CT', 'USA');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'D', 'Intel core i5', '800', 'Intel i5 computer 1st generation', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'D', 'Core2duo', '600', 'Intel core 2 computer', '12');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'D', 'Dell i5', '750', 'Dell computer i5', '5');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'D', 'Pentium 4', '350', 'Pentium 4 Intel Inside', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'D', 'Pentium 2', '150', 'IBM 2nd Gen', '5');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'L', 'HP Notebook', '1000', 'HP Notebook 2nd Gen', '20');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'L', 'MacBook', '1200', 'MacBook Apple', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'L', 'Dell Inspiron', '500', 'Dell Laptop', '15');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'L', 'HP Pro Book', '1500', 'HP 2018 Probook 5GHz', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'L', 'Sony SmartBook', '700', 'Sony SmartBook i5 3rd Gen', '5');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'P', 'Intel Smart Printer', '500', 'Smart Printer 20 colors', '5');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'P', 'IBM LaserJet', '300', 'LaserJet Technology IBM 60 Pager per minute', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'P', 'Synthetic Printer', '600', 'Synthetic Printer with New Technology', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'P', '3D Printer', '1800', '3D Printing with 100 different colors', '20');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'P', 'BWPrinter', '150', 'Black and White Printer with Ink', '15');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'A', 'Charger', '100', 'Laptop Charger', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'A', 'Laptop Bag', '50', 'Laptop Bag Blue Color', '5');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'A', 'Screen Protector', '70', 'Screen protector for laptop and computer screens', '10');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'A', 'RAM', '200', '512 GB RAM', '20');
INSERT INTO `product` (`PID`, `PType`, `PName`, `PPrice`, `Description`, `PQuantity`) VALUES
(NULL, 'A', 'Mouse', '75', 'Gaming Mouse', '15');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('1', 'i5');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('2', 'core2');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('3', 'i5');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('4', 'p4');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('5', 'p2');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('6', 'i5');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('7', 'i3');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('8', 'i7');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('9', 'Core2');
INSERT INTO `computer` (`PID`, `CPUType`) VALUES ('10', 'AMD');
INSERT INTO `laptop` (`PID`, `BType`, `Weight`) VALUES ('6', '180', '2.0');
INSERT INTO `laptop` (`PID`, `BType`, `Weight`) VALUES ('7', '140', '2.5');
INSERT INTO `laptop` (`PID`, `BType`, `Weight`) VALUES ('8', '200', '3.0');
INSERT INTO `laptop` (`PID`, `BType`, `Weight`) VALUES ('9', '100', '1.0');
INSERT INTO `laptop` (`PID`, `BType`, `Weight`) VALUES ('10', '300', '5.0');
INSERT INTO `printer` (`PID`, `PrinterType`, `Resolution`) VALUES ('11', 'Inkjet', '1024x2048');
INSERT INTO `printer` (`PID`, `PrinterType`, `Resolution`) VALUES ('12', 'LaserJet', '1024x1024');
INSERT INTO `printer` (`PID`, `PrinterType`, `Resolution`) VALUES ('13', 'Plotter', '720x720');
INSERT INTO `printer` (`PID`, `PrinterType`, `Resolution`) VALUES ('14', '3D', '2048x2048');
INSERT INTO `printer` (`PID`, `PrinterType`, `Resolution`) VALUES ('15', 'Thermal', '1024x720');
INSERT INTO `offer_product` (`PID`, `OfferPrice`) VALUES ('3', '650');
INSERT INTO `offer_product` (`PID`, `OfferPrice`) VALUES ('4', '300');
INSERT INTO `offer_product` (`PID`, `OfferPrice`) VALUES ('5', '100');
INSERT INTO `offer_product` (`PID`, `OfferPrice`) VALUES ('6', '950');
INSERT INTO `offer_product` (`PID`, `OfferPrice`) VALUES ('7', '1000');
-- Queries for Statistics:
--1
select A.PID, P.PName, SUM(A.Quantity) AS Q from appears_in A, product P
where P.PID = A.PID and A.CartID IN
(SELECT CartID from cart where cart.TStatus is NOT NULL and cart.TDate BETWEEN CAST('2018-04-01' AS DATE) AND CAST('2018-05-02' AS DATE))
GROUP BY A.PID
ORDER BY Q DESC
--3
select CC.CID, CC.FName, CC.LName, SUM(A.Quantity * A.PriceSold) As Total
from appears_in A, cart C, customer CC
WHERE CC.CID = C.CID and C.CartID = A.CartID and A.CartID IN
(select C1.CartID from cart C1, customer CC1 where C1.CID = CC1.CID and C1.TStatus is NOT NULL and
C1.TDate BETWEEN CAST('2018-04-01' AS DATE) AND CAST('2018-05-02' AS DATE) )
GROUP BY C.CID
ORDER BY Total DESC
LIMIT 10;
--4
SELECT C.CID, C.SAName, S.Zip, COUNT(*) AS totalShippingMade
FROM cart C, shipping_address S
WHERE C.CID=S.CID and C.SAName = S.SAName and C.TStatus IS NOT NULL and C.TDate BETWEEN CAST('2018-04-01' AS DATE) AND CAST('2018-05-02' AS DATE)
GROUP BY C.CID, C.SAName
ORDER BY totalShippingMade DESC
LIMIT 5;
--5
SELECT P.PType, SUM(A.PriceSold * A.Quantity)/SUM(A.Quantity) As AveragePriceByType
from appears_in A, product P, Cart C
where A.PID = P.PID and C.CartID = A.CartID and C.TDate BETWEEN CAST('2018-04-01' AS DATE) AND CAST('2018-05-02' AS DATE) and P.PType NOT IN('A')
GROUP BY P.PType
ORDER BY AveragePriceByType DESC;
| true |
bd4f037ceb20f785ec6e53eb1a4a9027af3b3c79 | SQL | florx/dbt-snowflake-demo | /setup.sql | UTF-8 | 830 | 3.359375 | 3 | [] | no_license | use database citibike;
create or replace stage citibike_trips
url = 's3://snowflake-workshop-lab/citibike-trips';
create or replace table trips
(tripduration integer,
starttime timestamp,
stoptime timestamp,
start_station_id integer,
start_station_name string,
start_station_latitude float,
start_station_longitude float,
end_station_id integer,
end_station_name string,
end_station_latitude float,
end_station_longitude float,
bikeid integer,
membership_type string,
usertype string,
birth_year integer,
gender integer);
copy into trips from @citibike_trips
file_format=CSV;
create or replace table json_weather_data (v variant);
create or replace stage nyc_weather
url = 's3://snowflake-workshop-lab/weather-nyc';
copy into json_weather_data
from @nyc_weather
file_format = (type=json);
| true |
ceda51b10e69fd98813e9461be727a87ced30956 | SQL | radudilirici/FMI | /Year 3/Sem 1/SGBD/lab2PLSQL-332.sql | ISO-8859-13 | 15,712 | 3.484375 | 3 | [] | no_license | DECLARE
x NUMBER(1) := 5;
y x%TYPE := NULL;
BEGIN
IF x <> y THEN
DBMS_OUTPUT.PUT_LINE ('valoare <> null este = true');
ELSE
DBMS_OUTPUT.PUT_LINE ('valoare <> null este != true');
END IF;
x := NULL;
IF x = y THEN
DBMS_OUTPUT.PUT_LINE ('null = null este = true');
ELSE
DBMS_OUTPUT.PUT_LINE ('null = null este != true');
END IF;
END;
/
--2
--a
DECLARE
TYPE emp_record IS RECORD
(cod employees.employee_id%TYPE,
salariu employees.salary%TYPE,
job employees.job_id%TYPE);
v_ang emp_record;
BEGIN
v_ang.cod:=700;
v_ang.salariu:= 9000;
v_ang.job:='SA_MAN';
DBMS_OUTPUT.PUT_LINE ('Angajatul cu codul '|| v_ang.cod ||
' si jobul ' || v_ang.job || ' are salariul ' || v_ang.salariu);
END;
/
--b
DECLARE
TYPE emp_record IS RECORD
(cod employees.employee_id%TYPE,
salariu employees.salary%TYPE,
job employees.job_id%TYPE);
v_ang emp_record;
BEGIN
SELECT employee_id, salary, job_id
INTO v_ang
FROM employees
WHERE employee_id = 101;
DBMS_OUTPUT.PUT_LINE ('Angajatul cu codul '|| v_ang.cod ||
' si jobul ' || v_ang.job || ' are salariul ' || v_ang.salariu);
END;
/
DECLARE
TYPE emp_record IS RECORD
(cod employees.employee_id%TYPE,
salariu employees.salary%TYPE,
job employees.job_id%TYPE);
v_ang emp_record;
BEGIN
SELECT employee_id, salary, job_id
INTO v_ang.cod, v_ang.salariu, v_ang.job
FROM employees
WHERE employee_id = 101;
DBMS_OUTPUT.PUT_LINE ('Angajatul cu codul '|| v_ang.cod ||
' si jobul ' || v_ang.job || ' are salariul ' || v_ang.salariu);
END;
/
create table emp_mng2 as select * from employees;
DECLARE
TYPE emp_record IS RECORD
(cod employees.employee_id%TYPE,
salariu employees.salary%TYPE,
job employees.job_id%TYPE);
v_ang emp_record;
BEGIN
DELETE FROM emp_mng2
WHERE employee_id=100
RETURNING employee_id, salary, job_id INTO v_ang;
DBMS_OUTPUT.PUT_LINE ('Angajatul cu codul '|| v_ang.cod ||
' si jobul ' || v_ang.job || ' are salariul ' || v_ang.salariu);
END;
/
select * from emp_mng2 where employee_id =100;
ROLLBACK;
--3
DECLARE
v_ang1 employees%ROWTYPE;
v_ang2 employees%ROWTYPE;
BEGIN
-- sterg angajat 100 si mentin in variabila linia stearsa
DELETE FROM emp_mng2
WHERE employee_id = 100
RETURNING employee_id, first_name, last_name, email, phone_number,
hire_date, job_id, salary, commission_pct, manager_id,
department_id
INTO v_ang1;
-- inserez in tabel linia stearsa
INSERT INTO emp_mng2
VALUES v_ang1;
-- sterg angajat 101
DELETE FROM emp_mng2
WHERE employee_id = 101;
-- obtin datele din tabelul employees
SELECT *
INTO v_ang2
FROM employees
WHERE employee_id = 101;
-- inserez o linie oarecare in emp_mng2
INSERT INTO emp_mng2
VALUES(1000,'FN','LN','E',null,sysdate, 'AD_VP',1000, null,100,90);
-- modific linia adaugata anterior cu valorile variabilei v_ang2
UPDATE emp_mng2
SET ROW = v_ang2
WHERE employee_id = 1000;
END;
/
rollback;
select * from emp_mng2 where employee_id in (100, 101, 1000);
DECLARE
TYPE tablou_indexat IS TABLE OF NUMBER INDEX BY PLS_INTEGER;
t tablou_indexat;
BEGIN
-- punctul a
FOR i IN 1..10 LOOP
t(i):=i;
END LOOP;
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(t(i) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul b
FOR i IN 1..10 LOOP
IF i mod 2 = 1 THEN t(i):=null;
END IF;
END LOOP;
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(nvl(t(i), 0) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(t(i) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul c
t.DELETE(t.first);
t.DELETE(5,7);
t.DELETE(t.last);
DBMS_OUTPUT.PUT_LINE('Primul element are indicele ' || t.first ||
' si valoarea ' || nvl(t(t.first),0));
DBMS_OUTPUT.PUT_LINE('Ultimul element are indicele ' || t.last ||
' si valoarea ' || nvl(t(t.last),0));
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
IF t.EXISTS(i) THEN
DBMS_OUTPUT.PUT(nvl(t(i), 0)|| ' ');
END IF;
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul d
t.delete;
DBMS_OUTPUT.PUT_LINE('Tabloul are ' || t.COUNT ||' elemente.');
END;
/
--5
DECLARE
TYPE tablou_indexat IS TABLE OF emp_mng2%ROWTYPE
INDEX BY BINARY_INTEGER;
t tablou_indexat;
BEGIN
-- stergere din tabel si salvare in tablou
DELETE FROM emp_mng2
WHERE ROWNUM<= 2
RETURNING employee_id, first_name, last_name, email, phone_number,
hire_date, job_id, salary, commission_pct, manager_id,
department_id
BULK COLLECT INTO t;
--afisare elemente tablou
DBMS_OUTPUT.PUT_LINE (t(1).employee_id ||' ' || t(1).last_name);
DBMS_OUTPUT.PUT_LINE (t(2).employee_id ||' ' || t(2).last_name);
--inserare cele 2 linii in tabel
INSERT INTO emp_mng2 VALUES t(1);
INSERT INTO emp_mng2 VALUES t(2);
END;
/
select * from emp_mng2;
--6
DECLARE
TYPE tablou_imbricat IS TABLE OF NUMBER;
t tablou_imbricat := tablou_imbricat();
BEGIN
-- punctul a
FOR i IN 1..10 LOOP
t.extend;
t(i):=i;
END LOOP;
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(t(i) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul b
FOR i IN 1..10 LOOP
IF i mod 2 = 1 THEN t(i):=null;
END IF;
END LOOP;
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(nvl(t(i), 0) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul c
t.DELETE(t.first);
t.DELETE(5,7);
t.DELETE(t.last);
DBMS_OUTPUT.PUT_LINE('Primul element are indicele ' || t.first ||
' si valoarea ' || nvl(t(t.first),0));
DBMS_OUTPUT.PUT_LINE('Ultimul element are indicele ' || t.last ||
' si valoarea ' || nvl(t(t.last),0));
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
IF t.EXISTS(i) THEN
DBMS_OUTPUT.PUT(nvl(t(i), 0)|| ' ');
END IF;
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul d
t.delete;
DBMS_OUTPUT.PUT_LINE('Tabloul are ' || t.COUNT ||' elemente.');
END;
/
7. Declara?i un tip tablou imbricat de caractere ?i o variabil? de acest tip. Ini?ializa?i variabila cu
urm?toarele valori: m, i, n, i, m. Afi?a?i con?inutul tabloului, de la primul la ultimul element ?i
invers. ?terge?i elementele 2 ?i 4 ?i apoi afi?a?i con?inutul tabloului.
DECLARE
TYPE tablou_imbricat IS TABLE OF CHAR(1);
t tablou_imbricat := tablou_imbricat('m', 'i', 'n', 'i', 'm');
i INTEGER;
BEGIN
i := t.FIRST;
WHILE i <= t.LAST LOOP
DBMS_OUTPUT.PUT(t(i));
i := t.NEXT(i);
END LOOP;
DBMS_OUTPUT.NEW_LINE;
i := t.LAST;
WHILE i >= t.FIRST LOOP
DBMS_OUTPUT.PUT(t(i));
i := t.PRIOR(i);
END LOOP;
DBMS_OUTPUT.NEW_LINE;
t.delete(2);
t.delete(4);
i := t.FIRST;
WHILE i <= t.LAST LOOP
DBMS_OUTPUT.PUT(t(i));
i := t.NEXT(i);
END LOOP;
DBMS_OUTPUT.NEW_LINE;
DBMS_OUTPUT.PUT_LINE('TEST');
FOR i IN t.FIRST..t.LAST LOOP
IF t.EXISTS(i) THEN
DBMS_OUTPUT.PUT(nvl(t(i), 0));
END IF;
end loop;
DBMS_OUTPUT.NEW_LINE;
i := t.LAST;
WHILE i >= t.FIRST LOOP
DBMS_OUTPUT.PUT(t(i));
i := t.PRIOR(i);
END LOOP;
DBMS_OUTPUT.NEW_LINE;
END;
/
--8
DECLARE
TYPE vector IS VARRAY(20) OF NUMBER;
t vector:= vector();
BEGIN
-- punctul a
FOR i IN 1..10 LOOP
t.extend; t(i):=i;
END LOOP;
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(t(i) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul b
FOR i IN 1..10 LOOP
IF i mod 2 = 1 THEN t(i):=null;
END IF;
END LOOP;
DBMS_OUTPUT.PUT('Tabloul are ' || t.COUNT ||' elemente: ');
FOR i IN t.FIRST..t.LAST LOOP
DBMS_OUTPUT.PUT(nvl(t(i), 0) || ' ');
END LOOP;
DBMS_OUTPUT.NEW_LINE;
-- punctul c
-- metodele DELETE(n), DELETE(m,n) nu sunt valabile pentru vectori!!!
-- din vectori nu se pot sterge elemente individuale!!!
-- punctul d
t.delete;
DBMS_OUTPUT.PUT_LINE('Tabloul are ' || t.COUNT ||' elemente.');
END;
/
9. Defini?i tipul subordonati_mng (vector, dimensiune maxim? 10, men?ine numere). Crea?i tabelul
manageri_mng cu urm?toarele cmpuri: cod_mgr NUMBER(10), nume VARCHAR2(20), lista
subordonati_mng. Introduce?i 3 linii n tabel. Afi?a?i informa?iile din tabel. ?terge?i tabelul creat,
apoi tipul.
CREATE OR REPLACE TYPE subordonati_mng AS VARRAY(10) OF NUMBER(4);
/
CREATE TABLE manageri_mng (cod_mgr NUMBER(10),
nume VARCHAR2(20),
lista subordonati_mng);
DECLARE
v_sub subordonati_mng:= subordonati_mng(100,200,300);
v_lista manageri_mng.lista%TYPE;
BEGIN
INSERT INTO manageri_mng
VALUES (1, 'Mgr 1', v_sub);
INSERT INTO manageri_mng
VALUES (2, 'Mgr 2', null);
INSERT INTO manageri_mng
VALUES (3, 'Mgr 3', subordonati_mng(400,500));
SELECT lista
INTO v_lista
FROM manageri_mng
WHERE cod_mgr=1;
FOR j IN v_lista.FIRST..v_lista.LAST loop
DBMS_OUTPUT.PUT_LINE (v_lista(j));
END LOOP;
END;
/
SELECT * FROM manageri_mng;
DROP TABLE manageri_mng;
DROP TYPE subordonati_mng;
10. Crea?i tabelul emp_test_mng cu coloanele employee_id ?i last_name din tabelul employees.
Ad?uga?i n acest tabel un nou cmp numit telefon de tip tablou imbricat. Acest tablou va men?ine
pentru fiecare salariat toate numerele de telefon la care poate fi contactat. Insera?i o linie nou? n
tabel. Actualiza?i o linie din tabel. Afi?a?i informa?iile din tabel. ?terge?i tabelul ?i tipul.
CREATE TABLE emp_test_mng AS
SELECT employee_id, last_name FROM employees
WHERE ROWNUM <= 2;
select * from emp_test_mng;
CREATE OR REPLACE TYPE tip_telefon_mng IS TABLE OF VARCHAR(12);
/
ALTER TABLE emp_test_mng
ADD (telefon tip_telefon_mng)
NESTED TABLE telefon STORE AS tabel_telefon_mng;
iNSERT INTO emp_test_mng
VALUES (500, 'XYZ',tip_telefon_mng('074XXX', '0213XXX', '037XXX'));
UPDATE emp_test_mng
SET telefon = tip_telefon_mng('073XXX', '0214XXX')
WHERE employee_id=100;
SELECT a.employee_id, b.*
FROM emp_test_mng a, TABLE (a.telefon) b;
500 074XXX
500 0213XXX
500 037XXX
100 073XXX
100 0214XXX
DROP TABLE emp_test_mng;
DROP TYPE tip_telefon_mng;
11. ?terge?i din tabelul emp_mng salaria?ii avnd codurile men?inute ntr-un vector.
Obs. Comanda FORALL permite ca toate liniile unei colec?ii s? fie transferate simultan printr-o
singur? opera?ie. Procedeul este numit bulk bind.
FORALL index IN lim_inf..lim_sup
comanda_sql;
Varianta 1
DECLARE
TYPE tip_cod IS VARRAY(5) OF NUMBER(3);
coduri tip_cod := tip_cod(205,206);
BEGIN
FOR i IN coduri.FIRST..coduri.LAST LOOP
DELETE FROM emp_mng
WHERE employee_id = coduri (i);
END LOOP;
END;
/
create table emp_mng as select * from employees;
SELECT employee_id FROM emp_mng;
ROLLBACK;
Varianta 2
DECLARE
TYPE tip_cod IS VARRAY(20) OF NUMBER;
coduri tip_cod := tip_cod(205,206);
BEGIN
FORALL i IN coduri.FIRST..coduri.LAST
DELETE FROM emp_mng
WHERE employee_id = coduri (i);
END;
/
SELECT employee_id FROM emp_mng;
ROLLBACK;
--ex
--1. Men?ine?i ntr-o colec?ie codurile celor mai prost pl?ti?i 5 angaja?i care nu c?tig? comision. Folosind aceast?
--colec?ie m?ri?i cu 5% salariul acestor angaja?i. Afi?a?i valoarea veche a salariului, respectiv valoarea nou? a
--salariului.
--nu
select employee_id, salary
from emp_mng
where commission_pct is null
and rownum<=5
order by salary;
104 6000
103 9000
101 17000
102 17000
100 24000
select employee_id
from (
select employee_id, salary
from emp_mng
where commission_pct is null
order by salary)
where rownum<=5;
132
128
136
127
135
declare
type tip_cod is varray(5) of emp_mng.employee_id%type;
coduri tip_cod;
salariu emp_mng.salary%type;
begin
select employee_id
bulk collect into coduri
from (
select employee_id, salary
from emp_mng
where commission_pct is null
order by salary)
where rownum<=5;
for i in coduri.first..coduri.last loop
select salary
into salariu
from emp_mng
where employee_id = coduri(i);
dbms_output.put_line('Angajatul cu codul ' || coduri(i) || ' are salariul vechi ' || salariu);
-- update emp_mng
-- set salary=salary*1.05
-- where employee_id = coduri(i);
-- select salary
-- into salariu
-- from emp_mng
-- where employee_id = coduri(i);
-- dbms_output.put_line('Angajatul cu codul ' || coduri(i) || ' are salariul nou ' || salariu);
-- dbms_output.new_line;
update emp_mng
set salary=salary*1.05
where employee_id = coduri(i)
returning salary into salariu;
dbms_output.put_line('Angajatul cu codul ' || coduri(i) || ' are salariul nou ' || salariu);
dbms_output.new_line;
end loop;
end;
/
rollback;
declare
type tip_cod is varray(5) of emp_mng.employee_id%type;
coduri tip_cod;
type tip_sal is varray(5) of emp_mng.salary%type;
salariu tip_sal;
begin
select employee_id, salary
bulk collect into coduri, salariu
from (
select employee_id, salary
from emp_mng
where commission_pct is null
order by salary)
where rownum<=5;
for i in coduri.first..coduri.last loop
dbms_output.put_line('Angajatul cu codul ' || coduri(i) || ' are salariul vechi ' || salariu(i));
end loop;
for i in coduri.first..coduri.last loop
salariu(i) := salariu(i) * 1.05;
update emp_mng set salary = salariu(i)
where employee_id = coduri(i);
dbms_output.put_line('Angajatul cu codul ' || coduri(i) || ' are salariul nou ' || salariu(i));
end loop;
end;
/
commit;
rollback;
Angajatul cu codul 132 are salariul vechi 2100
Angajatul cu codul 132 are salariul nou 2205
Angajatul cu codul 128 are salariul vechi 2200
Angajatul cu codul 128 are salariul nou 2310
Angajatul cu codul 136 are salariul vechi 2200
Angajatul cu codul 136 are salariul nou 2310
Angajatul cu codul 127 are salariul vechi 2400
Angajatul cu codul 127 are salariul nou 2520
Angajatul cu codul 135 are salariul vechi 2400
Angajatul cu codul 135 are salariul nou 2520
--2
create or replace type tip_orase_mng is table of varchar2(100);
/
create table excursie_mng(
cod_excursie number(4),
denumire varchar2(20),
status varchar2(20));
alter table excursie_mng
add (orase tip_orase_mng)
nested table orase store as table_orase_mng;
insert into excursie_mng
values (0, 'Ex_0', 'disponibila', tip_orase_mng('oras1', 'oras2') );
select * from excursie_mng;
declare
v_orase tip_orase_mng := tip_orase_mng('oras1', 'oras2' , 'oras3');
begin
for i in 1..5 loop
insert into excursie_mng
values (i, 'Excursie_' || i, 'disponibila', v_orase);
end loop;
end;
/
0 Ex_0 disponibila ANDREISUGEAC.TIP_ORASE_MNG('oras1','oras2')
1 Excursie_1 disponibila ANDREISUGEAC.TIP_ORASE_MNG('oras1','oras2','oras3')
2 Excursie_2 disponibila ANDREISUGEAC.TIP_ORASE_MNG('oras1','oras2','oras3')
3 Excursie_3 disponibila ANDREISUGEAC.TIP_ORASE_MNG('oras1','oras2','oras3')
4 Excursie_4 disponibila ANDREISUGEAC.TIP_ORASE_MNG('oras1','oras2','oras3')
5 Excursie_5 disponibila ANDREISUGEAC.TIP_ORASE_MNG('oras1','oras2','oras3')
Actualiza?i coloana orase pentru o excursie specificat?:
- ad?uga?i un ora? nou n list?, ce va fi ultimul vizitat n excursia respectiv?;
declare
cod_exc excursie_mng.cod_excursie%type := &c_ex;
v_orase tip_orase_mng;
oras_t varchar2(20) :='Oras_nou';
begin
select orase
into v_orase
from excursie_mng
where cod_excursie= cod_exc;
-- for i in v_orase.first..v_orase.last loop
-- dbms_output.put_line( v_orase(i));
-- end loop;
dbms_output.put_line(v_orase.last);
v_orase.extend;
dbms_output.put_line(v_orase.last);
v_orase(v_orase.last) :=oras_t;
update excursie_mng
set orase = v_orase
where cod_excursie= cod_exc;
end;
/
select * from excursie_mng;
| true |
17dff0b2d979b6c75a45106f8b5086a81128445f | SQL | BHMauricio/oracle-18-01 | /Curso-bd2.sql | UTF-8 | 703 | 2.84375 | 3 | [] | no_license | --Clase del Sabado 07/10/2017
create table almacen (numero_almacen integer, ubicacion_almacen varchar2(80),
constraint pk_na primary key (numero_almacen));
--Procedimiento almacenado para guardar una entidad o registro de tipo Almacen
create or replace procedure guardar_almacen( mi_id IN integer, mi_ubicacion in varchar2)
as
begin
--Aqui la logica del procedimiento
insert into almacen values (mi_id, mi_ubicacion);
end;
/
--Vamos a probar que funciona nuestro procedimiento
begin
guardar_almacen (4,'FARGO');
end;
/
select * from almacen;
--Creamos la segunda Tabla
--create table cliente (numero_cliente )
| true |
eae3f569f5f0c5d3f8aead5ebc597638cae233cd | SQL | imendezca/PJInventario | /ScriptsDB/PJInventario_drop.sql | UTF-8 | 1,208 | 2.625 | 3 | [] | no_license | -- Created by Vertabelo (http://vertabelo.com)
-- Last modification date: 2019-02-18 17:12:55.88
-- foreign keys
ALTER TABLE Asignado DROP CONSTRAINT Asignado_Equipo1;
ALTER TABLE Asignado DROP CONSTRAINT Asignado_Equipo2;
ALTER TABLE Despacho DROP CONSTRAINT Despacho_Circuito;
ALTER TABLE Equipo DROP CONSTRAINT Equipo_Contrato;
ALTER TABLE Equipo DROP CONSTRAINT Equipo_Estado;
ALTER TABLE Equipo DROP CONSTRAINT Equipo_Puesto_Despacho;
ALTER TABLE Equipo DROP CONSTRAINT Equipo_TipoDeEquipo;
ALTER TABLE Equipos_Permitidos DROP CONSTRAINT Equipos_Permitidos_TipoDeEquipo1;
ALTER TABLE Equipos_Permitidos DROP CONSTRAINT Equipos_Permitidos_TipoDeEquipo2;
ALTER TABLE Puesto_Despacho DROP CONSTRAINT Puesto_Despacho_Despacho;
ALTER TABLE Puesto_Despacho DROP CONSTRAINT Puesto_Despacho_Puesto;
ALTER TABLE Usuario DROP CONSTRAINT Usuario_Rol;
-- tables
DROP TABLE Asignado;
DROP TABLE Circuito;
DROP TABLE Contrato;
DROP TABLE Despacho;
DROP TABLE Equipo;
DROP TABLE Equipos_Permitidos;
DROP TABLE Estado;
DROP TABLE Historico;
DROP TABLE LogModificacion;
DROP TABLE Puesto;
DROP TABLE Puesto_Despacho;
DROP TABLE Rol;
DROP TABLE TipoEquipo;
DROP TABLE Usuario;
-- End of file.
| true |
74b1bf0209f03875d861040de97983f4200f5c2b | SQL | wwjiang007/yugabyte-db | /managed/src/main/resources/db/migration/default_/common/V122__Create_XCluster_Tables.sql | UTF-8 | 1,448 | 3.484375 | 3 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"OpenSSL"
] | permissive | -- Copyright (c) YugaByte, Inc.
create table if not exists xcluster_config (
uuid uuid,
config_name varchar(256) not null,
source_universe_uuid uuid not null,
target_universe_uuid uuid not null,
status varchar(32) not null,
create_time timestamp not null,
modify_time timestamp not null,
constraint pk_xcluster_config primary key (uuid),
constraint uq_xcluster_config_source_universe_uuid_target_universe_uuid unique (source_universe_uuid, target_universe_uuid),
constraint fk_xcluster_config_source_universe_uuid foreign key (source_universe_uuid) references universe (universe_uuid) on delete cascade on update cascade,
constraint fk_xcluster_config_target_universe_uuid foreign key (target_universe_uuid) references universe (universe_uuid) on delete cascade on update cascade,
constraint ck_xcluster_config_status check (status in ('Init','Running','Paused','Failed'))
);
create table if not exists xcluster_table_config (
config_uuid uuid not null,
table_id varchar(64) not null,
constraint pk_xcluster_config_table primary key (config_uuid, table_id),
constraint fk_xcluster_config_table_config_uuid foreign key (config_uuid) references xcluster_config (uuid) on delete cascade on update cascade
);
| true |
97106f5c247b13aac2a9a204530a76436a8bc424 | SQL | malethr/moviesApi | /src/main/resources/db/create.sql | UTF-8 | 575 | 3.125 | 3 | [
"MIT"
] | permissive | SET MODE PostgreSQL;
CREATE TABLE IF NOT EXISTS movies (
id int PRIMARY KEY auto_increment,
title VARCHAR,
description VARCHAR,
myear VARCHAR,
director VARCHAR,
trailer VARCHAR,
intheaters VARCHAR
);
CREATE TABLE IF NOT EXISTS movietypes (
id int PRIMARY KEY auto_increment,
type VARCHAR
);
CREATE TABLE IF NOT EXISTS reviews (
id int PRIMARY KEY auto_increment,
writtenby VARCHAR,
rating VARCHAR,
content VARCHAR,
movieid INTEGER
);
CREATE TABLE IF NOT EXISTS movies_movietypes(
id int PRIMARY KEY auto_increment,
movieid INTEGER,
movietypeid INTEGER
); | true |
c7e19089ce980ef69307e9c244a998c4095c79d3 | SQL | fairfield-university-is510-fall2017/movies-tonight-parts-1-4-aagarwal07 | /MoviesTonightDML.sql | UTF-8 | 1,081 | 4.34375 | 4 | [] | no_license | USE movies_tonight;
#Populate MOVIES Table
INSERT INTO MOVIES (MTitle, Rating)
SELECT DISTINCT MTitle, Rating
FROM DATASHEET;
SELECT * FROM MOVIES;
#Populate THEATER Table
INSERT INTO THEATER (TName,Location,Phone)
SELECT DISTINCT TName, Location, Phone
FROM DATASHEET;
SELECT * FROM THEATER;
#Populate ARTIST Table
INSERT INTO ARTIST (CName)
SELECT DISTINCT CName
FROM DATASHEET;
SELECT * FROM ARTIST;
#Populate SHOWTIME Table
INSERT INTO SHOWTIME (ShowTime,MovieID,TID)
SELECT DISTINCT ShowTime, Movies.MovieID, THEATER.TID
FROM THEATER JOIN DATASHEET ON DATASHEET.TName = THEATER.TName
JOIN MOVIES ON MOVIES.MTitle = DATASHEET.MTitle;
SELECT * FROM SHOWTIME;
#Populate CREDITS Table
INSERT INTO CREDITS (CCode, AID, MovieID)
SELECT DISTINCT CCode, ARTIST.AID, MOVIES.MovieID
FROM MOVIES JOIN DATASHEET ON MOVIES.MTitle = DATASHEET.MTitle
JOIN ARTIST ON `DATASHEET`.`CName` = `ARTIST`.`CName`;
SELECT * FROM CREDITS;
SELECT TName, MTitle, Showtime, CName, CCode, COUNT(*) AS RowCount
FROM DATASHEET
GROUP BY TName, MTitle, Showtime, CName, CCode
Having RowCount > 1; | true |
89c6b1549991a30673eebd57bda00ded09133356 | SQL | OrionJoshi/SQL | /Aggregate_Functions/problem18.sql | UTF-8 | 622 | 3.828125 | 4 | [] | no_license | -- 18. Write a SQL statement that counts all orders for a date August 17th, 2012
-- Sample table: orders
-- ord_no purch_amt ord_date customer_id salesman_id
-- ---------- ---------- ---------- ----------- -----------
-- 70001 150.5 2012-10-05 3005 5002
-- 70009 270.65 2012-09-10 3001 5005
-- 70002 65.26 2012-10-05 3002 5001
-- Solutions
-- Method-1
SELECT COUNT(*)
FROM orders
WHERE ord_date='2012-08-17';
-- Method-2
SELECT COUNT(ord_no) FROM orders WHERE ord_date = '2012-08-17'
-- Output
-- count
-- 2
| true |
eb37eccd2282a653a82caf7177ccbd6892fad121 | SQL | MohameddAli/passport-mern-mysql | /schema.sql | UTF-8 | 756 | 3.59375 | 4 | [
"MIT"
] | permissive | -- DROP DATABASE IF EXISTS passportmern;
-- CREATE DATABASE passportmern;
-- USE passportmern;
set foreign_key_checks=0;
-- --------------------------------------------------------
CREATE TABLE users (
userId int(6) NOT NULL AUTO_INCREMENT,
username varchar(20) NOT NULL UNIQUE,
password varchar(255) NOT NULL,
accessId int(3) NOT NULL,
FOREIGN KEY (accessId) REFERENCES accessLevels(permissionLevel) ON DELETE RESTRICT ON UPDATE CASCADE,
active boolean DEFAULT 1,
PRIMARY KEY (userId)
);
-- --------------------------------------------------------
CREATE TABLE accessLevels (
permissionLevel int(3) NOT NULL AUTO_INCREMENT,
type varchar(30) NOT NULL,
PRIMARY KEY (permissionLevel)
);
set foreign_key_checks=1; | true |
79be160f3cd1830a4d390cf3e9502f867f74afa4 | SQL | hopkeno/ECU-ICTN6845-Group2 | /id14923890_ictn6845_taskdb.sql | UTF-8 | 1,731 | 3.578125 | 4 | [] | no_license | SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
CREATE DATABASE IF NOT EXISTS id14923890_ictn6845_taskdb;
use id14923890_ictn6845_taskdb;
-- --------------------------------------------------------
--
-- Database: `id14923890_ictn6845_taskdb`
--
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`volunteerID` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(1024) COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(255),
`email` varchar(255),
`first_name` varchar(50),
`last_name` varchar(50),
`is_admin` boolean NOT NULL DEFAULT FALSE,
`updated_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE CURRENT_TIMESTAMP,
`created_at` timestamp NOT NULL DEFAULT current_timestamp(),
PRIMARY KEY (`volunteerID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Table structure for table `tasks`
--
CREATE TABLE `tasks` (
`taskID` int(11) NOT NULL AUTO_INCREMENT,
`volunteerID` int(11),
`assignerID` int(11),
`title` varchar(512) COLLATE utf8_unicode_ci NOT NULL,
`description` varchar(2048) COLLATE utf8_unicode_ci,
`personsNeeded` int(2) NOT NULL,
`scheduledTime` timestamp NOT NULL,
`location` varchar(2048) COLLATE utf8_unicode_ci NOT NULL,
`updated_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE CURRENT_TIMESTAMP,
`created_at` timestamp NOT NULL DEFAULT current_timestamp(),
PRIMARY KEY (`taskID`),
FOREIGN KEY (`volunteerID`) REFERENCES users(`volunteerID`),
FOREIGN KEY (`assignerID`) REFERENCES users(`volunteerID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
| true |
ee68bfde7af110a8603182a6042701dcd5a0392e | SQL | silence-do-good/stress-test-Postgres-and-MySQL | /dump/low/day18/select1247.sql | UTF-8 | 191 | 2.734375 | 3 | [] | no_license |
SELECT timeStamp, temperature
FROM ThermometerObservation
WHERE timestamp>'2017-11-17T12:47:00Z' AND timestamp<'2017-11-18T12:47:00Z' AND SENSOR_ID='de5ba734_e279_4c72_bdf3_2337335aa00f'
| true |
a4955408d88417ee872457c672177436910b4712 | SQL | ingorewho/springcloud-develope | /db-server/src/main/resources/sql/ignore_user.sql | UTF-8 | 362 | 2.875 | 3 | [] | no_license | CREATE TABLE `ignore_user` (
`user_id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '用户id',
`age` int(3) NOT NULL COMMENT '用户年龄',
`name` char(10) NOT NULL COMMENT '印刷号码通常也叫投保单号',
PRIMARY KEY (`user_id`),
KEY `index_name` (`name`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8 COMMENT='用户表'; | true |
53407921a42d9596db494668ed9b4a4cc9eeb8ac | SQL | smson-euclid/mgp-tcn | /src/query/extract-55h-of-hourly-control-vital-series_ex1c_new_extend2.sql | UTF-8 | 8,756 | 3.390625 | 3 | [
"BSD-2-Clause"
] | permissive | /*
Extract 55 hours of vital time series of Control icustays (48 hours before 'control onset' and 7 hours after (buffer)).
---------------------------------------------------------------------------------------------------------------------
- MODIFIED VERSION
- SOURCE: https://github.com/MIT-LCP/mimic-code/blob/7ff270c7079a42621f6e011de6ce4ddc0f7fd45c/concepts/firstday/vitals-first-day.sql
- AUTHOR (of this version): Michael Moor, October 2018
- HINT: to add/remove vitals uncomment/comment both the 'case' statement (e.g. l.35) the corresponding itemids below (e.g. l.112,113)
- CAVE: For our purposes we did not use CareVue data. Therefore their IDs were removed from the 'case' statement in l.66!
However, you find them commented out in the 'where' clause at the end of the script.
---------------------------------------------------------------------------------------------------------------------
*/
--extract-time-series.sql
-- extract time series, TEMPLATE/inspiration: vitals-first-day.sql
-- info: to choose only 1 vital: comment out both the case statement (l.14) of the other variables and the corresponding itemids below (l.71-127)
DROP MATERIALIZED VIEW IF EXISTS control_55h_hourly_vitals_ex1c_new_extend2 CASCADE;
create materialized view control_55h_hourly_vitals_ex1c_new_extend2 as
SELECT pvt.icustay_id, pvt.subject_id -- removed , pvt.hadm_id,
, pvt.chart_time
, case
when pvt.chart_time < pvt.control_onset_time then 0
when pvt.chart_time between pvt.control_onset_time and (pvt.control_onset_time+interval '5' hour ) then 1
else 2 end as pseudo_target
--, case
-- when pvt.sepsis_onset > (pvt.intime + interval '150' hour) then 1
-- else 0 end as late_onset_after_150h
-- Easier names
, case when VitalID = 1 then valuenum else null end as HeartRate
, case when VitalID = 2 then valuenum else null end as SysBP
, case when VitalID = 3 then valuenum else null end as DiaBP
, case when VitalID = 4 then valuenum else null end as MeanBP
, case when VitalID = 5 then valuenum else null end as RespRate
, case when VitalID = 6 then valuenum else null end as TempC
, case when VitalID = 7 then valuenum else null end as SpO2_pulsoxy
, case when VitalID = 16 then valuenum else null end as TVset
, case when VitalID = 17 then valuenum else null end as TVobserved
, case when VitalID = 18 then valuenum else null end as TVspontaneous
, case when VitalID = 21 then valuenum else null end as TotalPEEPLevel
, case when VitalID = 24 then valuenum else null end as FiO2
, case when VitalID = 25 then valuenum else null end as Pain_Score
, case when VitalID = 26 then valuenum else null end as Urine_Output
, case when VitalID = 27 then valuenum else null end as ETCO2
, case when VitalID = 28 then valuenum else null end as HCO3
, case when VitalID = 29 then valuenum else null end as Alk_Phos
, case when VitalID = 30 then valuenum else null end as Base_Excess
, case when VitalID = 31 then valuenum else null end as Pulse
, case when VitalID = 32 then valuenum else null end as Supplmental_Oxygen
, case when VitalID = 33 then valuenum else null end as QT_Interval
, case when VitalID = 34 then valuenum else null end as BradenSensoryPerception
, case when VitalID = 35 then valuenum else null end as BradenMoisture
, case when VitalID = 36 then valuenum else null end as BradenActivity
, case when VitalID = 37 then valuenum else null end as BradenMobility
, case when VitalID = 38 then valuenum else null end as BradenNutrition
, case when VitalID = 39 then valuenum else null end as BradenFrictionShear
FROM (
select ch.icustay_id, ie.subject_id -- removed: ie.subject_id, ie.hadm_id,
, case
when itemid in (220045) and valuenum > 0 and valuenum < 300 then 1 -- HeartRate
when itemid in (220179,220050,225309) and valuenum > 0 and valuenum < 400 then 2 -- SysBP
when itemid in (220180,220051,225310) and valuenum > 0 and valuenum < 300 then 3 -- DiasBP
when itemid in (220052,220181,225312) and valuenum > 0 and valuenum < 300 then 4 -- MeanBP
when itemid in (220210,224690) and valuenum > 0 and valuenum < 70 then 5 -- RespRate
when itemid in (223761) and valuenum > 70 and valuenum < 120 then 6 -- TempF, converted to degC in valuenum call
when itemid in (223762) and valuenum > 10 and valuenum < 50 then 6 -- TempC
when itemid in (220277) and valuenum > 0 and valuenum <= 100 then 7 -- SpO2
when itemid in (224684) and valuenum > 0 then 16 -- Tidal Volume (set) (ml)
when itemid in (224685) and valuenum > 0 then 17 -- Tidal Volume (observed) (ml)
when itemid in (224686) and valuenum > 0 then 18 -- Tidal Volume (spontaneous) (ml)
when itemid in (224700) and valuenum >= 0 then 21 -- Total PEEP Level metavision chartevents Respiratory (cmH2O)
when itemid in (223835) and valuenum >= 0 then 24 -- Inspired O2 Fraction FiO2 metavision chartevents Respiratory (No unit)
when itemid in (227881) and valuenum >= 0 then 25 -- Pain Score
when itemid in (226559, 226560, 227510, 226561, 226584, 226563, 226564, 226565, 226567, 226557, 226558) and valuenum >= 0 then 26 -- Urine Output
when itemid in (228640) and valuenum >= 0 then 27 -- ETCO2
when itemid in (227443) and valuenum >= 0 then 28 -- HCO3
when itemid in (225612) and valuenum >= 0 then 29 -- Alk Phos, Serum
when itemid in (224828) and valuenum >= 0 then 30 -- Base Excess
when itemid in (223944, 223945, 223946, 223947, 223948, 223949, 228194, 223934, 223935, 223936, 223938, 223939, 223940, 223941, 223942, 223943) and valuenum >= 0 then 31 -- Pulse
when itemid in (223848) and valuenum >= 0 then 32 -- Supplmental Oxygen
when itemid in (224359) and valuenum >= 0 then 33 -- QT Interval
when itemid in (224054) and valuenum >= 0 then 34 -- BradenSensoryPerception
when itemid in (224055) and valuenum >= 0 then 35 -- BradenMoisture
when itemid in (224056) and valuenum >= 0 then 36 -- BradenActivity
when itemid in (224057) and valuenum >= 0 then 37 -- BradenMobility
when itemid in (224058) and valuenum >= 0 then 38 -- BradenNutrition
when itemid in (224059) and valuenum >= 0 then 39 -- BradenFrictionShear
else null end as VitalID
-- convert F to C
, case when itemid in (223761,678) then (valuenum-32)/1.8 else valuenum end as valuenum
, ce.charttime as chart_time
, ch.control_onset_time
, s3c.intime
from matched_controls_hourly ch
left join icustays ie
on ch.icustay_id = ie.icustay_id
left join sepsis3_cohort s3c
on ch.icustay_id = s3c.icustay_id
left join chartevents ce
on ch.icustay_id = ce.icustay_id -- removed: ie.subject_id = ce.subject_id and ie.hadm_id = ce.hadm_id and
and ce.charttime between (ch.control_onset_time-interval '96' hour ) and (ch.control_onset_time+interval '7' hour )
-- exclude rows marked as error
where ce.error=0 and
ce.itemid in -- and sepsis_case = 1
(
-- HEART RATE
220045, --"Heart Rate"
-- Systolic
220179, -- Non Invasive Blood Pressure systolic
220050, -- Arterial Blood Pressure systolic
225309, -- ART BP systolic
-- Diastolic
220180, -- Non Invasive Blood Pressure diastolic
220051, -- Arterial Blood Pressure diastolic
225310, -- ART BP diastolic
-- MEAN ARTERIAL PRESSURE
220052, --"Arterial Blood Pressure mean"
220181, --"Non Invasive Blood Pressure mean"
225312, --"ART BP mean"
-- RESPIRATORY RATE
220210,-- Respiratory Rate
224690, --, -- Respiratory Rate (Total)
-- TEMPERATURE
223762, -- "Temperature Celsius"
223761, -- "Temperature Fahrenheit"
-- SPO2, peripheral
220277,
-- Tidal Volume set
224684, -- (ml)
-- Tidal Volume (observed)
224685, -- (ml)
-- Tidal Volume (spontaneous)
224686, -- (ml)
-- Total PEEP Level
224700, -- Total PEEP Level metavision chartevents Respiratory (cmH2O)
-- Inspired O2 Fraction (FiO2)
223835, -- Inspired O2 Fraction FiO2 metavision chartevents Respiratory (No unit)
-- Pain Score
227881,
-- Urine Output
226559, 226560, 227510, 226561, 226584, 226563, 226564, 226565, 226567, 226557, 226558,
-- ETCO2
228640,
-- HCO3
227443,
-- Alk Phos, Serum
225612,
-- Base Excess
224828,
-- Pulse
223944, 223945, 223946, 223947, 223948, 223949, 228194, 223934, 223935, 223936, 223938, 223939, 223940, 223941, 223942, 223943,
-- Supplmental Oxygen
223848,
-- QT Interval
224359,
-- Braden Scale
224054, -- BradenSensoryPerception
224055, -- BradenMoisture
224056, -- BradenActivity
224057, -- BradenMobility
224058, -- BradenNutrition
224059 -- BradenFrictionShear
)
) pvt
--group by pvt.subject_id, pvt.hadm_id, pvt.icustay_id
order by pvt.icustay_id, pvt.subject_id, pvt.chart_time; -- removed pvt.hadm_id,
| true |
ce8af87ef6854fed7c46dbb862f2ce98438ddea1 | SQL | rastiehaiev/rastibot-user-service | /src/main/resources/db/migration/V1__initial_schema.sql | UTF-8 | 375 | 2.765625 | 3 | [] | no_license | CREATE TABLE user_table
(
id SERIAL PRIMARY KEY,
chat_id INT NOT NULL UNIQUE,
username VARCHAR(255) DEFAULT NULL,
first_name VARCHAR(255) DEFAULT NULL,
last_name VARCHAR(255) DEFAULT NULL,
locale VARCHAR(255) DEFAULT NULL
);
CREATE INDEX chat_id_idx ON user_table (chat_id);
ALTER TABLE user_table OWNER TO "rastibot-user-service"; | true |
f4d8633b7297388066c741b4de11d81a8a102a67 | SQL | ElderVivot/ConversorTron | /SQLs/analise/clientes.sql | UTF-8 | 1,261 | 3.28125 | 3 | [] | no_license | SELECT cli.CODEMP,
cli.CODEMPDES,
emp_geral.RAZSOCEMP,
emp_geral.INSEMP,
emp_geral.CODCID,
emp_geral.CODNATJUR,
emp_geral.INSMUNEMP,
emp_geral.INSESTEMP,
emp_geral.CODCLSATVCNADOI,
emp_geral.CODSUBCLSATVCNADOI,
emp_detalhe.nomfanemp,
emp_detalhe.lgremp,
emp_detalhe.numemp,
emp_detalhe.baiemp,
emp_detalhe.cepemp,
emp_detalhe.emaemp,
emp_detalhe.sitemp,
emp_detalhe.andemp,
emp_detalhe.salconemp,
emp_detalhe.comemp,
emp_detalhe.ctlemp,
(SELECT MAX(tel.numtel)
FROM TBLTEL as tel
WHERE tel.codemp = emp_detalhe.codemp) as telefone_emp,
(SELECT MAX(cid.dddcid)
FROM TBLCID as cid
WHERE cid.codcid = (SELECT MAX(tel.codcid)
FROM TBLTEL as tel
WHERE tel.codemp = emp_detalhe.codemp) ) as ddd_emp
FROM TBLEMPDES as cli INNER JOIN TBLEMP as emp_geral
ON cli.CODEMPDES = emp_geral.CODEMP
INNER JOIN TBLEMPDET as emp_detalhe
ON cli.codempdes = emp_detalhe.codemp
WHERE cli.CODEMP <> cli.CODEMPDES
ORDER BY cli.CODEMP, cli.CODEMPDES | true |
9804bdd61768570e33f29aa866481b6896959a72 | SQL | JacobHorstmeier/Social-Analyzer | /db/update_user_info.sql | UTF-8 | 200 | 2.96875 | 3 | [] | no_license | -- Select bio, email, id FROM users
-- JOIN ON userInfo.id = users.id;
-- for the join write a query that joins then gets
UPDATE userInfo
SET bio = $2, email = $3
WHERE id = $1;
SELECT * FROM userInfo | true |
a0131efd53739d01ea6e0a76fc6ae9718d1c2173 | SQL | tsukaharakazuki/td | /agg_questionnaire/query/p01_search_query.sql | UTF-8 | 231 | 3.046875 | 3 | [] | no_license | SELECT
ARRAY_JOIN(
ARRAY_AGG(
column_name
),
','
) AS sql_contents
FROM
information_schema.columns
WHERE
table_schema = '${enq_db}'
AND table_name = 'loop_column_${enq_name}'
GROUP BY
table_name | true |
d7e3d7614715f47b7ce2ac277ca2326bdd625b0f | SQL | groiq/016-transport-management | /sql/transport-manager-setup.sql | UTF-8 | 15,196 | 4 | 4 | [] | no_license |
/* Database for transport management project */
drop database if exists transport_management;
create database transport_management;
use transport_management;
CREATE TABLE locations (
location_id INT PRIMARY KEY AUTO_INCREMENT,
name NVARCHAR(32),
latitude DECIMAL(8 , 6 ),
longitude DECIMAL(9 , 6 )
);
CREATE TABLE distances (
distance_id INT PRIMARY KEY AUTO_INCREMENT,
start_id INT,
target_id INT,
distance DECIMAL(8 , 2 ),
FOREIGN KEY (start_id)
REFERENCES locations (location_id),
FOREIGN KEY (target_id)
REFERENCES locations (location_id)
);
CREATE TABLE trucks (
truck_id INT PRIMARY KEY AUTO_INCREMENT,
license_plate NVARCHAR(8),
fixed_cost_per_hour DECIMAL(8 , 2 ),
cost_per_km DECIMAL(8 , 2 ),
avg_speed DECIMAL(8 , 2 )
);
CREATE TABLE loads (
load_id INT PRIMARY KEY AUTO_INCREMENT,
truck_id INT,
start_location_id INT,
target_location_id INT,
total_distance decimal(8,2),
start_time TIMESTAMP NULL DEFAULT NULL,
target_time_prior_estimate TIMESTAMP NULL DEFAULT NULL,
duration_prior_estimate time,
target_time_actual TIMESTAMP NULL DEFAULT NULL,
duration_actual time,
total_cost_prior_estimate decimal(8,2),
total_cost_actual decimal(8,2),
FOREIGN KEY (truck_id)
REFERENCES trucks (truck_id),
FOREIGN KEY (start_location_id)
REFERENCES locations (location_id),
FOREIGN KEY (target_location_id)
REFERENCES locations (location_id)
);
CREATE TABLE load_legs (
load_leg_id INT PRIMARY KEY AUTO_INCREMENT,
load_id INT,
start_location_id INT,
target_location_id INT,
number_in_sequence INT,
distance DECIMAL(8 , 2 ),
start_time TIMESTAMP NULL DEFAULT NULL,
duration_estimate TIME,
duration_actual TIME,
target_time TIMESTAMP NULL DEFAULT NULL,
FOREIGN KEY (load_id)
REFERENCES loads (load_id),
FOREIGN KEY (start_location_id)
REFERENCES locations (location_id),
FOREIGN KEY (target_location_id)
REFERENCES locations (location_id),
UNIQUE (load_id , number_in_sequence)
);
/* stored procedures */
/* ----------------- */
-- distances are saved unidirectionally, this procedure makes them bidirectional.
USE `transport_management`;
DROP procedure IF EXISTS `distance`;
DELIMITER $$
USE `transport_management`$$
CREATE PROCEDURE `distance` (in start_id_param int, target_id_param int, out distance_param decimal(8,2))
BEGIN
if (start_id_param < target_id_param) then
select distance into distance_param from distances where start_id = start_id_param and target_id = target_id_param;
elseif (start_id_param > target_id_param) then
select distance into distance_param from distances where start_id = target_id_param and target_id = start_id_param;
else
select 0.0 into distance_param;
end if;
END$$
DELIMITER ;
-- helper procedure to calculate total costs of a load
USE `transport_management`;
DROP procedure IF EXISTS `calculate_costs`;
DELIMITER $$
USE `transport_management`$$
CREATE PROCEDURE `calculate_costs` (load_id_param int, modifier_param varchar(20))
BEGIN
-- declare result decimal(8,2);
set @load_id = load_id_param;
set @modifier = modifier_param;
set @total_distance = (select total_distance from loads where load_id = load_id_param);
if (@modifier = 'prior_estimate') then
set @total_duration = (select duration_prior_estimate from loads where load_id = @load_id);
else
set @total_duration = (select duration_actual from loads where load_id = @load_id);
end if;
/*
prepare get_total_time from
'set @total_duration = (select duration_(?,1) from loads where load_id = (?,2));';
execute get_total_time using @modifier, @load_id;
deallocate prepare get_total_time;
*/
set @duration_as_decimal = ( time_to_sec(@total_duration) / 3600);
set @fixed_cost = (select fixed_cost_per_hour from loads join trucks using (truck_id) where load_id = load_id_param);
set @cost_per_km = (select cost_per_km from loads join trucks using (truck_id) where load_id = load_id_param);
set @result = ( (@total_distance * @cost_per_km) + (@fixed_cost * @duration_as_decimal));
-- select @total_distance;
if (@modifier = 'prior_estimate') then
update loads set total_cost_prior_estimate = @result where load_id = @load_id;
else
update loads set total_cost_actual = @result where load_id = @load_id;
end if;
/*
prepare set_calculated_cost from
'update loads set total_cost_(?,1) = (?,2) where load_id = (?,3);';
execute set_calculated_cost using @modifier, @result, @load_id;
deallocate prepare set_calculated_cost;
*/
END$$
DELIMITER ;
-- add a load leg
USE `transport_management`;
DROP procedure IF EXISTS `add_leg`;
DELIMITER $$
USE `transport_management`$$
CREATE PROCEDURE `add_leg` (load_param int, start_location_param int, target_location_param int)
BEGIN
declare number_in_sequence_next int default 0;
declare load_target_location_id int default 0;
declare avg_speed_local decimal(8,2);
-- declare distance_local decimal(8,2);
declare duration_estimate_calculated time;
-- handle leg count. Load legs are supposed to always be in the order they are entered in.
set number_in_sequence_next = ((select max(number_in_sequence) from load_legs where load_id = load_param)+1);
if (number_in_sequence_next is null) then
set number_in_sequence_next = 1;
end if;
-- calculate duration estimate
call distance(start_location_param, target_location_param, @distance);
set avg_speed_local = (select avg_speed from trucks join loads using (truck_id) where loads.load_id = load_param);
set duration_estimate_calculated = sec_to_time(floor((@distance / avg_speed_local) * 3600));
-- the actual insert
insert into load_legs
(load_id, start_location_id, target_location_id, number_in_sequence, distance, duration_estimate)
values
(load_param, start_location_param, target_location_param, number_in_sequence_next, @distance, duration_estimate_calculated);
-- if leg target equals load target, then we are on the, uh, last leg. In this case calculate total distance duration + cost estimate for the whole load.
set load_target_location_id = (select target_location_id from loads where load_id = load_param);
if (target_location_param = load_target_location_id) then
update loads set total_distance = ( select sum(distance) from load_legs where load_id = load_param ) where load_id = load_param;
update loads set duration_prior_estimate = ( select sum(duration_estimate) from load_legs where load_id = load_param ) where load_id = load_param;
call calculate_costs(load_param, 'prior_estimate');
end if;
END$$
DELIMITER ;
-- add a timestamp to a load leg
USE `transport_management`;
DROP procedure IF EXISTS `add_timestamp`;
DELIMITER $$
USE `transport_management`$$
CREATE PROCEDURE `add_timestamp` (load_id_param int, leg_number_param int, timestamp_param timestamp)
BEGIN
declare leg_counter int default 0;
declare leg_limit int default 0;
declare current_leg_estimated_timestamp timestamp default null;
-- if leg# is 0, then we are starting the first leg
if (leg_number_param = 0) then
update load_legs set start_time = timestamp_param where load_id = load_id_param and number_in_sequence = 1;
update loads set start_time = timestamp_param where load_id = load_id_param;
-- otherwise we finish the current leg and start the next one
else
update load_legs set target_time = timestamp_param, duration_actual = timediff(timestamp_param, start_time) where load_id = load_id_param and number_in_sequence = leg_number_param;
UPDATE load_legs
SET
start_time = timestamp_param
WHERE
load_id = load_id_param
AND number_in_sequence = (leg_number_param + 1);
end if;
-- if target location is load target location, we've finished the tour,
-- so calculate total cost + duration
if (select target_location_id from load_legs where number_in_sequence = leg_number_param and load_id = load_id_param) = (select target_location_id from loads where load_id = load_id_param) then
-- write target time to loads table
update loads set target_time_actual = timestamp_param where load_id = load_id_param;
-- calculate total duration
update loads set duration_actual = timediff(timestamp_param,(select start_time from load_legs where load_id = load_id_param and number_in_sequence = 1)) where load_id = load_id_param;
-- calculate total cost
call calculate_costs(load_id_param, 'actual');
-- otherwise recalculate time estimates for all legs from here on
else
set leg_counter = leg_number_param + 1;
set leg_limit = (select max(number_in_sequence) from load_legs where load_id = load_id_param);
set current_leg_estimated_timestamp = timestamp_param;
repeat
set current_leg_estimated_timestamp = timestamp(current_leg_estimated_timestamp,
(select duration_estimate from load_legs where load_id = load_id_param and number_in_sequence = leg_counter));
-- select current_leg_estimated_timestamp;
UPDATE load_legs
SET
target_time = current_leg_estimated_timestamp
WHERE
load_id = load_id_param
AND number_in_sequence = leg_counter;
set leg_counter = leg_counter + 1;
UPDATE load_legs
SET
start_time = current_leg_estimated_timestamp
WHERE
load_id = load_id_param
AND number_in_sequence = leg_counter;
until leg_counter > leg_limit end repeat;
-- if we're on start of tour, write target time prior estimate to loads table
if (leg_number_param = 0) then
update loads set target_time_prior_estimate = current_leg_estimated_timestamp where load_id = load_id_param;
end if;
end if;
END$$
DELIMITER ;
-- view for load legs with location names, for use by the php app
drop view if exists load_leg_data;
CREATE VIEW load_leg_data AS
(SELECT
load_id,
number_in_sequence,
start_location_id,
start_location.name AS start_location_name,
target_location_id,
target_location.name AS target_location_name
FROM
locations start_location
JOIN
load_legs ON start_location.location_id = load_legs.start_location_id
JOIN
locations target_location ON load_legs.target_location_id = target_location.location_id) ORDER BY number_in_sequence;
CREATE VIEW load_reports AS
(SELECT
load_id,
license_plate,
start_loc.name as start_name,
target_loc.name as target_name,
total_distance,
start_time,
target_time_prior_estimate,
target_time_actual,
duration_prior_estimate,
duration_actual,
total_cost_prior_estimate,
total_cost_actual
FROM
loads
JOIN
locations start_loc ON start_loc.location_id = loads.start_location_id
JOIN
locations target_loc ON target_loc.location_id = loads.target_location_id
JOIN
trucks USING (truck_id));
/* sample core data */
/* ---------------- */
insert into locations (name,latitude,longitude) values ('Bregenz',47.505,9.749167);
insert into locations (name,latitude,longitude) values ('Innsbruck',47.267222,11.392778);
insert into locations (name,latitude,longitude) values ('Salzburg',47.8,13.033333);
insert into locations (name,latitude,longitude) values ('Linz',48.303056,14.290556);
insert into locations (name,latitude,longitude) values ('Klagenfurt',46.617778,14.305556);
insert into locations (name,latitude,longitude) values ('St. Poelten',48.204722,15.626667);
insert into locations (name,latitude,longitude) values ('Graz',47.066667,15.433333);
insert into locations (name,latitude,longitude) values ('Wien',48.208333,16.373056);
insert into locations (name,latitude,longitude) values ('Eisenstadt',47.845556,16.518889);
insert into trucks (license_plate,fixed_cost_per_hour,cost_per_km,avg_speed) values ('LL-1234G',50.0,5.0,50.0);
insert into trucks (license_plate,fixed_cost_per_hour,cost_per_km,avg_speed) values ('W-56785G',50.0,50.0,50.0);
insert into trucks (license_plate,fixed_cost_per_hour,cost_per_km,avg_speed) values ('VL-3454G',50.0,50.0,50.0);
-- python code for creating dummy distance entries
/*
#!/usr/bin/env python3
count = 9
for i in range(count):
for j in range(i+1,count):
print("insert into distances (start_id,target_id,distance) values ({},{},100);".format(i+1,j+1))
*/
insert into distances (start_id,target_id,distance) values (1,2,100);
insert into distances (start_id,target_id,distance) values (1,3,100);
insert into distances (start_id,target_id,distance) values (1,4,100);
insert into distances (start_id,target_id,distance) values (1,5,100);
insert into distances (start_id,target_id,distance) values (1,6,100);
insert into distances (start_id,target_id,distance) values (1,7,100);
insert into distances (start_id,target_id,distance) values (1,8,100);
insert into distances (start_id,target_id,distance) values (1,9,100);
insert into distances (start_id,target_id,distance) values (2,3,100);
insert into distances (start_id,target_id,distance) values (2,4,100);
insert into distances (start_id,target_id,distance) values (2,5,100);
insert into distances (start_id,target_id,distance) values (2,6,100);
insert into distances (start_id,target_id,distance) values (2,7,100);
insert into distances (start_id,target_id,distance) values (2,8,100);
insert into distances (start_id,target_id,distance) values (2,9,100);
insert into distances (start_id,target_id,distance) values (3,4,100);
insert into distances (start_id,target_id,distance) values (3,5,100);
insert into distances (start_id,target_id,distance) values (3,6,100);
insert into distances (start_id,target_id,distance) values (3,7,100);
insert into distances (start_id,target_id,distance) values (3,8,100);
insert into distances (start_id,target_id,distance) values (3,9,100);
insert into distances (start_id,target_id,distance) values (4,5,100);
insert into distances (start_id,target_id,distance) values (4,6,100);
insert into distances (start_id,target_id,distance) values (4,7,100);
insert into distances (start_id,target_id,distance) values (4,8,100);
insert into distances (start_id,target_id,distance) values (4,9,100);
insert into distances (start_id,target_id,distance) values (5,6,100);
insert into distances (start_id,target_id,distance) values (5,7,100);
insert into distances (start_id,target_id,distance) values (5,8,100);
insert into distances (start_id,target_id,distance) values (5,9,100);
insert into distances (start_id,target_id,distance) values (6,7,100);
insert into distances (start_id,target_id,distance) values (6,8,100);
insert into distances (start_id,target_id,distance) values (6,9,100);
insert into distances (start_id,target_id,distance) values (7,8,100);
insert into distances (start_id,target_id,distance) values (7,9,100);
insert into distances (start_id,target_id,distance) values (8,9,100);
select * from load_legs order by load_id, number_in_sequence;
| true |
5d1eca456cc3f7b0f8398e289effc44e9dd20bde | SQL | 24113000/p2016 | /sql/0000_initial_script.sql | UTF-8 | 1,890 | 3.484375 | 3 | [] | no_license | CREATE TABLE `File` (
`id` BIGINT NOT NULL UNIQUE,
`name` varchar(250) NOT NULL,
`path` varchar(250) NOT NULL,
`id_path` varchar(250) NOT NULL,
`parent_id` BIGINT,
`class` varchar(250) NOT NULL,
`owner_id` BIGINT NOT NULL,
`content_id` BIGINT,
`create_date` DATE NOT NULL,
`update_date` DATE NOT NULL,
PRIMARY KEY (`id`)
);
CREATE TABLE `File_Content` (
`id` BIGINT NOT NULL UNIQUE,
`data` VARBINARY(10240) NOT NULL,
PRIMARY KEY (`id`)
);
CREATE TABLE `Folder` (
`id` BIGINT NOT NULL UNIQUE
);
CREATE TABLE `Text_File` (
`id` BIGINT NOT NULL UNIQUE,
`type` varchar(250) NOT NULL
);
CREATE TABLE `AbstractFile_GENERATOR_TABLE` (
`key_gen` varchar(250) NOT NULL,
`hi` BIGINT NOT NULL,
PRIMARY KEY (`key_gen`)
);
CREATE TABLE `User` (
`id` BIGINT NOT NULL UNIQUE,
`email` varchar(250) NOT NULL UNIQUE,
`password` varchar(250) NOT NULL,
`reset_token` varchar(250),
`token_expiration_date` DATE,
PRIMARY KEY (`id`)
);
CREATE TABLE `USER_GENERATOR_TABLE` (
`key_gen` varchar(250) NOT NULL,
`hi` BIGINT NOT NULL,
PRIMARY KEY (`key_gen`)
);
CREATE TABLE `Permission` (
`id` BIGINT NOT NULL UNIQUE,
`file_id` BIGINT NOT NULL,
`read` BOOLEAN,
`write` BOOLEAN,
`del` BOOLEAN,
`user_id` BIGINT NOT NULL,
PRIMARY KEY (`id`)
);
CREATE TABLE `Permission_GENERATOR_TABLE` (
`key_gen` varchar(250) NOT NULL,
`hi` BIGINT NOT NULL,
PRIMARY KEY (`key_gen`)
);
ALTER TABLE `File` ADD CONSTRAINT `File_fk0` FOREIGN KEY (`parent_id`) REFERENCES `File`(`id`);
ALTER TABLE `File` ADD CONSTRAINT `File_fk1` FOREIGN KEY (`content_id`) REFERENCES `File_Content`(`id`);
ALTER TABLE `Folder` ADD CONSTRAINT `Folder_fk0` FOREIGN KEY (`id`) REFERENCES `File`(`id`);
ALTER TABLE `Text_File` ADD CONSTRAINT `Text_File_fk0` FOREIGN KEY (`id`) REFERENCES `File`(`id`);
ALTER TABLE `Permission` ADD CONSTRAINT `Permission_fk0` FOREIGN KEY (`file_id`) REFERENCES `File`(`id`); | true |
7ee50bdb25427ee3e70caee515256cf162263057 | SQL | fatmazaman/Emp_Dept | /src/main/resources/Department.sql | UTF-8 | 256 | 3.0625 | 3 | [] | no_license |
CREATE TABLE Department (
id int(10) NOT NULL,
name varchar(20) NOT NULL DEFAULT '',
min_sal_range int(20) DEFAULT NULL,
max_sal_range int(20) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
ALTER TABLE Department
ADD FOREIGN KEY (name));
| true |
503454b4c7af1dc69df6b99b69bf7b41b5591a30 | SQL | bkiers/sqlite-parser | /src/test/resources/crash8.test_13.sql | UTF-8 | 1,282 | 2.734375 | 3 | [
"MIT"
] | permissive | -- crash8.test
--
-- execsql {
-- PRAGMA journal_mode = persist;
-- CREATE TABLE ab(a, b);
-- INSERT INTO ab VALUES(0, 'abc');
-- INSERT INTO ab VALUES(1, NULL);
-- INSERT INTO ab VALUES(2, NULL);
-- INSERT INTO ab VALUES(3, NULL);
-- INSERT INTO ab VALUES(4, NULL);
-- INSERT INTO ab VALUES(5, NULL);
-- INSERT INTO ab VALUES(6, NULL);
-- UPDATE ab SET b = randstr(1000,1000);
-- ATTACH 'test2.db' AS aux;
-- PRAGMA aux.journal_mode = persist;
-- CREATE TABLE aux.ab(a, b);
-- INSERT INTO aux.ab SELECT * FROM main.ab;
--
-- UPDATE aux.ab SET b = randstr(1000,1000) WHERE a>=1;
-- UPDATE ab SET b = randstr(1000,1000) WHERE a>=1;
-- }
PRAGMA journal_mode = persist;
CREATE TABLE ab(a, b);
INSERT INTO ab VALUES(0, 'abc');
INSERT INTO ab VALUES(1, NULL);
INSERT INTO ab VALUES(2, NULL);
INSERT INTO ab VALUES(3, NULL);
INSERT INTO ab VALUES(4, NULL);
INSERT INTO ab VALUES(5, NULL);
INSERT INTO ab VALUES(6, NULL);
UPDATE ab SET b = randstr(1000,1000);
ATTACH 'test2.db' AS aux;
PRAGMA aux.journal_mode = persist;
CREATE TABLE aux.ab(a, b);
INSERT INTO aux.ab SELECT * FROM main.ab;
UPDATE aux.ab SET b = randstr(1000,1000) WHERE a>=1;
UPDATE ab SET b = randstr(1000,1000) WHERE a>=1; | true |
b13b9048f9bb98e40e2ea967126aa4f9834852f7 | SQL | Tommydreamer57/cell | /db/create_channel_message.sql | UTF-8 | 247 | 2.578125 | 3 | [] | no_license | INSERT INTO cell_channel_messages
(text, author_id, channel_id, timestamp)
VALUES
(${text}, ${author_id}, ${channel_id}, ${timestamp});
SELECT id, text, timestamp, author_id, channel_id
FROM cell_channel_messages
WHERE channel_id = ${channel_id}; | true |
74f52f79033457dedafef155b00fb893bd8b0cb6 | SQL | brunocarvalhs/velhapp | /Database(Banco)/DB_velhinhos.sql | UTF-8 | 4,262 | 3.34375 | 3 | [] | no_license | create database db_velhinho;
use db_velhinho;
create table tb_tipo_evento(
cd_tipo_evento int not null,
nm_tipo_evento varchar(255) not null,
constraint pk_tipo_evento
primary key (cd_tipo_evento)
);
create table tb_tipo_contato(
cd_tipo_contato int not null,
nm_tipo_contato varchar(255) not null,
constraint pk_tipo_contato
primary key (cd_tipo_contato)
);
create table tb_logradouro(
cd_logradouro int not null,
nm_logradouro varchar(255) not null,
ds_logradouro text,
constraint pk_logradouro
primary key (cd_logradouro)
);
create table tb_usuario(
cd_usuario int not null,
nm_usuario varchar(255),
nm_senha varchar(20),
nm_email varchar(255),
constraint pk_usuario
primary key (cd_usuario)
);
create table tb_preferencia(
cd_preferencia int not null,
nm_preferencia varchar(255) not null,
constraint pk_preferencia
primary key (cd_preferencia)
);
create table tb_juridico(
cd_juridico int not null,
nm_fantasia varchar(255),
cd_cnpj varchar(14),
nm_representante varchar(255),
cd_contato int,
constraint pk_juridico
primary key (cd_juridico)
);
create table tb_contato(
cd_contato int not null,
nm_contato varchar(255),
cd_juridico int not null,
cd_tipo_contato int not null,
constraint pk_contato
primary key (cd_contato),
constraint fk_contato_juridico
foreign key (cd_juridico)
references tb_juridico(cd_juridico),
constraint fk_tipo_contato
foreign key (cd_tipo_contato)
references tb_tipo_contato(cd_tipo_contato)
);
create table tb_evento(
cd_evento int not null,
nm_evento varchar(255) not null,
dt_evento datetime not null,
ds_evento text not null,
cd_tipo_evento int not null,
cd_juridico int not null,
cd_lote int,
constraint pk_evento
primary key (cd_evento),
constraint fk_juridico_evento
foreign key (cd_juridico)
references tb_juridico(cd_juridico),
constraint fk_tipo_evento
foreign key (cd_tipo_evento)
references tb_tipo_evento(cd_tipo_evento)
);
create table tb_lote(
cd_lote int not null,
vl_lote decimal not null,
nm_lote varchar(255) not null,
cd_evento int,
constraint pk_lote
primary key (cd_lote),
constraint fk_lote_evento
foreign key (cd_evento)
references tb_evento(cd_evento)
);
create table tb_gosto(
cd_usuario int not null,
cd_preferencia int not null,
constraint fk_preferencia_usuario
foreign key (cd_usuario)
references tb_usuario(cd_usuario),
constraint fk_usuario_preferencia
foreign key (cd_preferencia)
references tb_preferencia(cd_preferencia)
);
create table tb_logradouro_evento(
cd_logradouro int not null,
cd_evento int not null,
constraint fk_evento_logradouro
foreign key (cd_logradouro)
references tb_logradouro(cd_logradouro),
constraint fk_logradouro_evento
foreign key (cd_evento)
references tb_evento(cd_evento)
);
create table tb_preferencia_evento(
cd_evento int not null,
cd_preferencia int not null,
constraint fk_preferencia_evento
foreign key (cd_preferencia)
references tb_preferencia(cd_preferencia),
constraint fk_evento_preferencia
foreign key (cd_preferencia)
references tb_preferencia(cd_preferencia)
);
INSERT INTO tb_tipo_evento VALUES
(1,'privado'),
(2,'publico');
INSERT INTO tb_preferencia VALUES
(1,'Viagens'),
(2,'Teatro'),
(3,'Shows'),
(4,'Bingo'),
(5,'Encontros'),
(6,'Bazar'),
(7,'Caminhada Guiada'),
(8,'Competição Esportiva'),
(9,'Congresso'),
(10,'Corrida'),
(11,'Inauguração'),
(12,'Exposição'),
(13,'Comício'),
(14,'Comédia Stand-Up'),
(15,'Cabaré'),
(16,'Arte Performática Artística'),
(17,'Cultural'),
(18,'Cursos Livres'),
(19,'Discoteca'),
(20,'Evento Religioso'),
(21,'Feira de Negócios'),
(22,'Feira Gastronômica'),
(23,'Festa Beneficente'),
(24,'Festivais'),
(25,'Hackathon'),
(26,'Improvisação '),
(27,'Leilão'),
(28,'Networking'),
(29,'Projeção Cinematográfica'),
(30,'Sarau'),
(31,'Seminário'),
(32,'Sessão de Autógrafos'),
(33,'Torneio'),
(34,'Show de Talentos'),
(35,'Sessão de Degustação'),
(36,'Feira de Consumidores'),
(37,'Voluntariado');
INSERT INTO tb_tipo_contato VALUES
(1,'E-mail'),
(2,'Telefone celular'),
(3,'Telefone fixo'),
(4,'Telefone comercial'),
(5,'Fax'); | true |
e09dd440360fb0e77da1761688b5f11aa273577f | SQL | Secure-EX/343A3 | /q3.sql | UTF-8 | 1,331 | 4.4375 | 4 | [] | no_license | SET SEARCH_PATH TO carschema;
DROP TABLE IF EXISTS q3 CASCADE;
/*
Find the most frequently rented car model in Toronto, where the reservation started and was fully completed in the year 2017.
In this case, you're asked to return the model name (e.g. BMW X5, Chevrolet Spark, etc.).
You should order by the total number of times the car model was rented (descending) and model name (ascending).
- As the question says, you should only consider completed reservations for this query. Cancelled, ongoing or confirmed don't count.
*/
CREATE TABLE q3(
MODEL_NAME TEXT
);
DROP VIEW IF EXISTS all_fit_cars_with_frequency CASCADE;
DROP VIEW IF EXISTS answer CASCADE;
CREATE VIEW all_fit_cars_with_frequency AS
SELECT model.name AS name, count(car.model_id) as frequency
FROM reservation
JOIN car ON reservation.car_id = car.id
JOIN rentalstation ON rentalstation.station_code = car.station_code
JOIN model ON car.model_id = model.id
WHERE '2017-01-01 00:00:00' <= reservation.from_date and reservation.to_date < '2018-01-01 00:00:00' and rentalstation.city = 'Toronto' and reservation.status = 'Completed'
GROUP BY model.name
ORDER BY frequency DESC, model.name
;
--SELECT * FROM all_fit_cars_with_frequency;
INSERT INTO q3 SELECT name FROM all_fit_cars_with_frequency LIMIT 1;
SELECT * FROM q3; | true |
4c996f5a018bb786a98f4e872cf3a37a5235cbf4 | SQL | plagu33/PizzaPlaneta | /pizzaPlaneta.sql | UTF-8 | 6,109 | 3.125 | 3 | [] | no_license | CREATE DATABASE IF NOT EXISTS `pizzeria` /*!40100 DEFAULT CHARACTER SET latin1 */;
USE `pizzeria`;
-- MySQL dump 10.13 Distrib 5.7.17, for macos10.12 (x86_64)
--
-- Host: localhost Database: pizzeria
-- ------------------------------------------------------
-- Server version 5.6.36
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `cliente`
--
DROP TABLE IF EXISTS `cliente`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `cliente` (
`id_cliente` varchar(36) NOT NULL,
`nombre_cliente` varchar(45) DEFAULT NULL,
`rut` varchar(45) DEFAULT NULL,
`telefono` varchar(45) DEFAULT NULL,
`email` varchar(45) DEFAULT NULL,
`id_interno_clte` varchar(48) DEFAULT NULL,
`fecha` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id_cliente`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `cliente`
--
LOCK TABLES `cliente` WRITE;
/*!40000 ALTER TABLE `cliente` DISABLE KEYS */;
INSERT INTO `cliente` VALUES ('00f5c678-1e6b-4492-a8e2-592909c3ce07','manuel','333333333','98989898','qdwqdqwdqwd@dqwdwdqwdwqd.cl',NULL,NULL),('31a8d00a-ec75-4f7c-8cee-76734e4acaea','jose escalona','15424182-5','12345678','jose@gmail.com','1',NULL),('a71d61d5-8983-4ab8-b452-94cf19f5272c','manuel meriño','16340395-1','67391357','manuel@gmail.com','2',NULL),('d3ee5c60-b7ba-49e8-876b-4bbc6d4383ea','manuel','11111111-1','23232323','qqq@qqq.qq',NULL,NULL),('e11ddb8b-4ee1-462c-9374-0ef5a10879d1','kakaka','22222222-2','23232323','dqwdqw@dwqdw.cl','21312',NULL);
/*!40000 ALTER TABLE `cliente` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `detalle_venta`
--
DROP TABLE IF EXISTS `detalle_venta`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `detalle_venta` (
`id_detalle_venta` varchar(36) NOT NULL,
`id_venta` varchar(36) DEFAULT NULL,
`codigo_producto` varchar(45) DEFAULT NULL,
`cantidad` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id_detalle_venta`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `detalle_venta`
--
LOCK TABLES `detalle_venta` WRITE;
/*!40000 ALTER TABLE `detalle_venta` DISABLE KEYS */;
INSERT INTO `detalle_venta` VALUES ('08a5c912-b78c-4a5d-8947-7ded3d40bee4','1','2','5'),('1eb5db34-08ac-41cb-9677-1718e7d75c58','1','3','2'),('dc66ff5b-2631-4814-b0e1-24868502e139','1','1','10');
/*!40000 ALTER TABLE `detalle_venta` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `productos`
--
DROP TABLE IF EXISTS `productos`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `productos` (
`id_producto` varchar(45) NOT NULL,
`producto` varchar(45) DEFAULT NULL,
`codigo_producto` varchar(255) DEFAULT NULL,
`descripcion` varchar(255) DEFAULT NULL,
`precio` int(11) DEFAULT NULL,
`fecha_registro` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id_producto`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
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--
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/*!40000 ALTER TABLE `productos` DISABLE KEYS */;
INSERT INTO `productos` VALUES ('15dd1a4b-27f7-4c6f-a324-d43b9245e934','pizza italiana','3','pizza ita',5000,'2017-07-03 22:36:21.351'),('4e04ce40-aec6-41d4-b004-ce14bfa54012','pizza napolitana','1','pizza',3000,'2017-07-03 22:34:07.183'),('64c9f2ee-4a4c-4c7f-a052-75174cf1e178','producto prueba','9','dqwdqdqwd',9999,'2017-07-08 11:50:40'),('a0c2152e-a9b5-4392-a0ba-acfa12e31bcb','pizza americana','2','pizza am',4000,'2017-07-03 22:35:46.912'),('bbeccd1c-9b54-4fdc-af9c-4ff3ef488dff','producto prueba','9','dqwdqdqwd',9999,'2017-07-08 11:55:57'),('eedf1bb0-602e-49cb-a0cd-f708d8667e39','producto prueba','9','dqwdqdqwd',9999,'2017-07-08 12:01:10'),('f6e58d2e-96e4-450b-8fa1-bcaee12e1c28','producto prueba 3','99','aaaa 1',19990,'2017-07-09 16:14:30.611'),('fc1ecfba-9a83-4fd6-b914-189e8219c3c4','producto prueba 1','9','dqwdqdqwd 1',9999,'2017-07-08 12:10:27');
/*!40000 ALTER TABLE `productos` ENABLE KEYS */;
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/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `ventas` (
`id` varchar(48) NOT NULL,
`id_interno_clte` varchar(48) DEFAULT NULL,
`fecha_venta` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`id_venta` varchar(48) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `ventas`
--
LOCK TABLES `ventas` WRITE;
/*!40000 ALTER TABLE `ventas` DISABLE KEYS */;
INSERT INTO `ventas` VALUES ('70c63b0a-7b47-43b9-b638-058beff82926','1','2017-07-04 02:56:14','1'),('a3e9e71a-049a-490f-80a3-c359badc5b68','2','2017-07-04 02:56:40','2');
/*!40000 ALTER TABLE `ventas` ENABLE KEYS */;
UNLOCK TABLES;
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/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2017-07-14 12:22:39
| true |
623440f3ec4434642e0ddaa7c7ce98170676d7be | SQL | sebrown0/TestBenchDB | /SQL/Procedures/update_entity_issue_status_for_test_result.sql | UTF-8 | 666 | 3.640625 | 4 | [] | no_license | CREATE DEFINER=`root`@`localhost` PROCEDURE `update_entity_issue_status_for_test_result`(IN forTestStatus VARCHAR(20), IN setStatus TINYINT)
BEGIN
-- Set the issue status of an entity with a entity_test_result.test_passed
WITH cte AS (
SELECT ent.id
FROM entity ent
JOIN entity_test test
ON ent.id = test.entity_id AND ent.entity_id = test.entity_entity_id
JOIN entity_test_result res
ON res.entity_test_entity_id = ent.id AND res.entity_test_entity_entity_id = ent.entity_id
WHERE res.test_passed = forTestStatus -- Pass, Fail etc
) UPDATE entity
SET issue_status_id = setStatus -- issue_status.id
WHERE id IN (SELECT * FROM cte);
END | true |
88146e45ad369a6fdc572676d7b59842fc895369 | SQL | LucasH-Paz/mysql-one-for-all | /desafio5.sql | UTF-8 | 268 | 3.53125 | 4 | [] | no_license | CREATE VIEW top_2_hits_do_momento AS
SELECT
s.song_name AS cancao,
COUNT(u.user_id) AS reproducoes
FROM
SpotifyClone.user_history AS u
INNER JOIN SpotifyClone.songs AS s ON u.song_id = s.id
GROUP BY
u.song_id
ORDER BY
reproducoes DESC,
cancao
LIMIT
2;
| true |
d850fd6fa325f394b171f513dfb29f2455b9d7d3 | SQL | ZhaoYiChina/Flask-Project | /backup/schema.sql | UTF-8 | 1,834 | 3.265625 | 3 | [] | no_license | DROP TABLE IF EXISTS user;
CREATE TABLE user (
id INTEGER PRIMARY KEY AUTOINCREMENT,
nickname VARCHAR(20),
avatar_url VARCHAR(80),
email VARCHAR(20),
phone VARCHAR(20),
birthday DATE,
create_time DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
update_time DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
last_ip VARCHAR(15)
);
DROP TABLE IF EXISTS user_auth;
CREATE TABLE user_auth (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER NOT NULL,
auth_type VARCHAR(20) NOT NULL,
auth_key VARCHAR(64) NOT NULL,
auth_secret VARCHAR(256) NOT NULL,
verified TINYINT DEFAULT 0
);
DROP TABLE IF EXISTS author;
CREATE TABLE author (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(20) NOT NULL,
email VARCHAR(20) NOT NULL
);
DROP TABLE IF EXISTS blog;
CREATE TABLE blog (
id INTEGER PRIMARY KEY AUTOINCREMENT,
author VARCHAR(20) NOT NULL,
title VARCHAR(40) NOT NULL,
pub_date DATE,
add_time DATETIME DEFAULT CURRENT_TIMESTAMP,
edit_time DATETIME DEFAULT CURRENT_TIMESTAMP
);
DROP TABLE IF EXISTS product;
CREATE TABLE product (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(40) NOT NULL,
stock INTEGER NOT NULL DEFAULT 0,
create_time DATETIME DEFAULT CURRENT_TIMESTAMP,
update_time DATETIME DEFAULT CURRENT_TIMESTAMP
);
DROP TABLE IF EXISTS product_order;
CREATE TABLE product_order (
id INTEGER PRIMARY KEY AUTOINCREMENT,
buyer_uid INTEGER,
shop_id INTEGER,
amount DECIMAL(10, 2) NOT NULL DEFAULT 0.00,
pay_status TINYINT(1) NOT NULL DEFAULT 0,
create_time DATETIME DEFAULT CURRENT_TIMESTAMP,
update_time DATETIME DEFAULT CURRENT_TIMESTAMP
);
| true |
d22c5e2ba21174b4d3c38b04b11a3191e3271788 | SQL | WHYHolly/CS562EMFandMFQueryProcessor | /StandardSQL/sql3.sql | UTF-8 | 744 | 4.375 | 4 | [] | no_license | -- for each customer and each month of 2004 the cust's avg sale before, during and after this month
with prev_mo as (
select y.cust, y.month, avg(x.quant) as prev_q
from sales as x, sales as y
where x.year = 2004 and y.year = 2004 and x.cust = y.cust and x.month < y.month
group by y.cust, y.month
),
cur_mo as (
select cust, month, avg(quant) as cur_q
from sales
where year = 2004
group by cust, month
),
post_mo as (
select y.cust, y.month, avg(x.quant) as post_q
from sales as x, sales as y
where x.year = 2004 and y.year = 2004 and x.cust = y.cust and x.month > y.month
group by y.cust, y.month
)
select *
from cur_mo left outer join prev_mo
using(cust, month)
left outer join post_mo
using(cust, month)
order by cust | true |
254c642a948519ef75457dd1d04d789370fdf444 | SQL | seoul-metropolitan-archives/sda-engine | /base/src/test/resources/db/migration/V1.0.0__20170206.sql | UTF-8 | 14,571 | 2.9375 | 3 | [] | no_license | /**
######################################################################
##
## BGF 신한은행 위탁관리 :: Flyway 스크립트
##
######################################################################
## 장애관리 전문 관련 테이블
######################################################################
**/
/**
[테이블 생성]
## 01. atms_01001110 :: 장애통보
## 02. atms_01001120 :: 출동요청
## 03. atms_01001130 :: 도착예정
## 04. atms_01001140 :: 도착통보
## 05. atms_01001150 :: 조치결과
## 06. atms_01001160 :: 장애출동취소요청
## 07. atms_01001170 :: 고객대기정보통보
## 08. atms_error_status :: 실시간장애모니터링
## 09. atms_error_handle_mng :: 장애조치사항관리
## 10. atms_01001180 :: 동시다발장애출동요청
## 11. atms_01001190 :: 동시다발장애조치결과
## 12. atms_01001230 :: 후처리내역통보
## 13. atms_01001240 :: 후처리내역 조치예정/완료
## 14. atms_minwon_mng :: 민원관리
**/
/*___ atms_01001110 ___*/
CREATE TABLE atms_01001110 (
error_datetime TIMESTAMP NOT NULL,
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
branch_name VARCHAR2(40),
branch_tel VARCHAR2(15),
corner_code CHAR(2) NOT NULL,
corner_name VARCHAR2(40),
terminal_no CHAR(4) NOT NULL,
place_gubun CHAR(1),
oper_time_gubun CHAR(1),
runtime VARCHAR2(11),
prod_serial_no VARCHAR2(15),
terminal_corp_code CHAR(1),
model_code CHAR(3),
progress_status CHAR(1),
stext_gubun CHAR(1),
terminal_error1 CHAR(5),
terminal_error2 CHAR(10),
total_classify_code CHAR(2),
error_type CHAR(1),
cash_part_status CHAR(1),
check_part_status CHAR(1),
portfolio_part_status CHAR(1),
jrnl_part_status CHAR(1),
rtrvl_box_status CHAR(1),
card_part_status CHAR(1),
bnkb_part_status CHAR(1),
giro_part_status CHAR(1),
suspend_status CHAR(1),
hw_error_status CHAR(1),
maintenance_status CHAR(1),
version CHAR(8),
enable_des_board CHAR(1),
enable_ic_card CHAR(1),
enable_emv CHAR(1),
enable_ir CHAR(1),
enable_rf CHAR(1),
enable_fingerprint CHAR(1),
encryption_status CHAR(1),
terminal_info VARCHAR2(100),
atms_terminal_no VARCHAR2(10),
cash_part_status_50k_won CHAR(1),
atmc_excclc_terminal_error CHAR(1),
atmc_excclc_exec_result CHAR(1),
terminal_ver_info VARCHAR2(10),
card_issued_terminal_status CHAR(1),
id_scanner_status CHAR(1),
bio_scanner_status CHAR(1),
scrty_card_highend_atm_only CHAR(1),
card_style_otp CHAR(1),
s20_general CHAR(1),
s20_frpy CHAR(1),
sline_general CHAR(1),
sline_frpy CHAR(1),
fourtune_general CHAR(1),
fourtune_frpy CHAR(1),
rcppay_bnkb CHAR(1),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_01001120 ___*/
CREATE TABLE atms_01001120 (
callee_req_datetime TIMESTAMP NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_seq_no VARCHAR2(10),
callee_req_chasu CHAR(2),
callee_chasu_gubun CHAR(1),
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
branch_name VARCHAR2(40),
corner_code CHAR(2) NOT NULL,
corner_name VARCHAR2(40),
terminal_no CHAR(4) NOT NULL,
terminal_corp_code CHAR(1),
model_code VARCHAR2(3),
callee_req_gubun_code CHAR(1),
callee_req_reason_code CHAR(1),
callee_emp_name VARCHAR2(10),
callee_emp_telno VARCHAR2(13),
terminal_error_code_1 VARCHAR2(5),
terminal_error_code_2 VARCHAR2(10),
total_classify_code VARCHAR2(2),
callee_req_unusl VARCHAR2(200),
crt_no VARCHAR2(15),
customer_wait_enable CHAR(1),
part_mng_callee_enable CHAR(1),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_01001130 ___*/
CREATE TABLE atms_01001130 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_seq_no VARCHAR2(10),
callee_req_chasu CHAR(2),
callee_req_gubun CHAR(1),
callee_chasu_gubun CHAR(1),
callee_plan_datetime TIMESTAMP NOT NULL,
arrival_plan_datetime TIMESTAMP NOT NULL,
corp_receipt_emp_name VARCHAR2(10),
corp_callee_emp_name VARCHAR2(10),
corp_callee_emp_telno VARCHAR2(13),
unusl VARCHAR2(100),
crt_no VARCHAR2(15),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_01001140 ___*/
CREATE TABLE atms_01001140 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_seq_no VARCHAR2(10),
callee_req_chasu CHAR(2),
callee_req_gubun CHAR(1),
callee_chasu_gubun CHAR(1),
corner_arrival_datetime TIMESTAMP NOT NULL,
arrival_corp_code VARCHAR2(1),
unusl VARCHAR2(100),
crt_no VARCHAR2(15),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_01001150 ___*/
CREATE TABLE atms_01001150 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_seq_no VARCHAR2(10),
callee_req_chasu CHAR(2),
callee_req_gubun CHAR(1),
callee_chasu_gubun CHAR(1),
handle_result CHAR(1),
handle_fail_reason VARCHAR2(1),
as_method VARCHAR2(1),
handle_datetime TIMESTAMP NOT NULL,
handle_emp_name VARCHAR2(10),
handle_emp_telno VARCHAR2(13),
handle_content_code CHAR(1),
handle_unusl VARCHAR2(200),
crt_no VARCHAR2(15),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_01001160 ___*/
CREATE TABLE atms_01001160 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_seq_no VARCHAR2(10),
callee_req_chasu CHAR(2),
callee_req_gubun_code CHAR(1),
callee_chasu_gubun CHAR(1),
cancle_req_datetime TIMESTAMP NOT NULL,
callee_cancle_reason_code VARCHAR2(1),
unusl VARCHAR2(200),
crt_no VARCHAR2(15),
callee_req_reason_code VARCHAR2(1),
terminal_error_code_1 VARCHAR2(5),
terminal_error_code_2 VARCHAR2(10),
total_classify_code VARCHAR2(2),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_01001170 ___*/
CREATE TABLE atms_01001170 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_seq_no VARCHAR2(10),
callee_req_chasu CHAR(2),
callee_req_gubun_code CHAR(1),
callee_chasu_gubun CHAR(1),
change_gubun_code CHAR(1),
unusl VARCHAR2(200),
crt_no VARCHAR2(15),
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_error_status ___*/
CREATE TABLE atms_error_status (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
callee_req_datetime TIMESTAMP,
callee_plan_datetime TIMESTAMP,
arrival_plan_datetime TIMESTAMP,
corner_arrival_datetime TIMESTAMP,
handle_datetime TIMESTAMP,
cancle_req_datetime TIMESTAMP,
elapsed_time TIMESTAMP,
callee_req_seq_no CHAR(10),
tx_id CHAR(7),
error_type CHAR(1),
error_process_status NUMBER(1),
cash_10k_empty_status CHAR(1),
cash_50k_empty_status CHAR(1),
callee_gubun CHAR(1), -- 1: 자동출동 , 2: 자체출동
PRIMARY KEY (error_datetime, branch_code, corner_code, terminal_no)
);
/*___ atms_error_handle_mng ___*/
CREATE TABLE atms_error_handle_mng (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
error_datetime TIMESTAMP NOT NULL,
notice_content VARCHAR2(300),
customer_info VARCHAR2(300),
handle_content VARCHAR2(300),
last_modify_datetime TIMESTAMP,
last_modify_emp_name VARCHAR2(20),
PRIMARY KEY (branch_code, corner_code, terminal_no, error_datetime)
);
/*___ atms_01001180 ___*/
CREATE TABLE atms_01001180 (
error_datetime TIMESTAMP NOT NULL,
mng_stnd_date CHAR(2),
mng_stnd_critic CHAR(3),
error_count CHAR(3),
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4),
terminal_no CHAR(4),
corner_code CHAR(2),
model_code CHAR(3),
corner_name VARCHAR2(40),
unusl VARCHAR2(100),
callee_seq_no CHAR(4),
error_method CHAR(1),
error_type CHAR(1),
total_classify_code CHAR(2),
terminal_error1 CHAR(5),
terminal_error2 CHAR(10),
handle_datetime TIMESTAMP,
handle_emp_name VARCHAR2(20),
memo_content VARCHAR2(140),
callee_req_date TIMESTAMP,
PRIMARY KEY (branch_code, corner_code, terminal_no, error_datetime)
);
/*___ atms_01001190 ___ 미사용예정*/
CREATE TABLE atms_01001190 (
handle_datetime TIMESTAMP NOT NULL,
mng_stnd_date CHAR(2),
mng_stnd_critic CHAR(3),
error_count CHAR(3),
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4),
terminal_no CHAR(4),
corner_code CHAR(2),
model_code CHAR(3),
corner_name VARCHAR2(40),
handle_emp_name VARCHAR2(10),
memo_content VARCHAR2(140),
callee_req_date TIMESTAMP,
callee_seq_no CHAR(4),
error_method CHAR(1),
PRIMARY KEY (branch_code, corner_code, terminal_no, handle_datetime)
);
/*___ atms_01001230 ___*/
CREATE TABLE atms_01001230 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4),
corner_code CHAR(2),
terminal_no CHAR(4),
stext_chasu CHAR(1),
handle_occur_datetime TIMESTAMP,
handle_seq_no CHAR(6),
handle_notice_datetime TIMESTAMP,
handle_notice_emp_name VARCHAR2(20),
handle_notice_emp_telno VARCHAR2(20),
handle_req_desc VARCHAR2(200),
handle_status CHAR(1),
sms_enable CHAR(1),
customer_name VARCHAR2(20),
customer_telno VARCHAR2(15),
error_type CHAR(1),
account_no VARCHAR2(20),
deal_seq_no CHAR(4),
deal_amount CHAR(8),
handle_datetime TIMESTAMP,
handle_emp_name VARCHAR2(20),
handle_emp_telno VARCHAR2(20),
handle_desc VARCHAR2(200),
PRIMARY KEY (branch_code, corner_code, terminal_no, handle_occur_datetime, handle_seq_no)
);
/*___ atms_01001240 ___미사용예정*/
CREATE TABLE atms_01001240 (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4),
corner_code CHAR(2),
terminal_no CHAR(4),
handle_seq_no CHAR(6),
handle_datetime TIMESTAMP,
handle_emp_name VARCHAR2(20),
handle_emp_telno VARCHAR2(20),
handle_desc VARCHAR2(200),
handle_status CHAR(1),
PRIMARY KEY (branch_code, corner_code, terminal_no, handle_datetime, handle_seq_no)
);
/*___ atms_minwon_mng ___*/
CREATE TABLE atms_minwon_mng (
jisa_code CHAR(2) NOT NULL, -- 전문에는 없지만 추가된 컬럼
branch_code CHAR(4) NOT NULL,
corner_code CHAR(2) NOT NULL,
terminal_no CHAR(4) NOT NULL,
reg_datetime TIMESTAMP NOT NULL, -- 작성일시
minwon_type CHAR(2),
minwon_status CHAR(1),
handle_dept CHAR(1),
minwon_content VARCHAR2(300),
handle_content VARCHAR2(300),
update_datetime TIMESTAMP, -- 변경일시
last_modify_emp_name VARCHAR2(20), -- 민원작성자
PRIMARY KEY (branch_code, corner_code, terminal_no, reg_datetime)
); | true |
c0731b63472adb7ba862c68bc2c9447a3f366d5d | SQL | Aubin13/alx-higher_level_programming-1 | /0x0E-SQL_more_queries/10-genre_id_by_show.sql | UTF-8 | 275 | 3.6875 | 4 | [] | no_license | -- Script that lists all shows contained in hbtn_0d_tvshows that have at least one genre linked
SELECT shows.title,
show_gen.genre_id
FROM tv_shows AS shows
INNER JOIN tv_show_genres AS show_gen
ON shows.id = show_gen.show_id
ORDER BY shows.title, show_gen.genre_id;
| true |
d2f0b71777dab9c6af3d0b5af85de57136bdc859 | SQL | joemc9011/employeedatabase | /employee.sql | UTF-8 | 495 | 3.296875 | 3 | [] | no_license | create database trackerdb;
use trackerdb;
create table dept (
id integer not null auto_increment,
dept_name varchar (30) not null,
primary key (id)
);
create table role(
id integer not null auto_increment,
title varchar(30) not null,
salary decimal (10,2) not null,
department_id integer not null,
primary key (id)
);
create table staff (
id integer not null auto_increment,
first_name varchar (30) not null,
last_name varchar (30) not null,
role_id integer not null,
primary key (id)
);
| true |
57d68beaa66cb15c54bef6a7b08f0a8ac64c4351 | SQL | alexdawn/rollinghub | /rollinghub/schema.sql | UTF-8 | 3,943 | 4.1875 | 4 | [
"MIT"
] | permissive | drop table if exists "user" cascade;
drop table if exists collections cascade;
drop table if exists object_files cascade;
drop table if exists model cascade;
drop table if exists variant cascade;
drop table if exists liveries cascade;
drop table if exists companies cascade;
DO $$
BEGIN
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'model_type') THEN
create type model_type as enum('locomotive', 'coach', 'wagon');
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'locomotive_type') THEN
create type locomotive_type as enum('steam', 'diesel', 'electric', 'DMU', 'EMU', 'other');
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'company_type') THEN
create type company_type as enum('manufacturer', 'operator');
END IF;
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'object_type') THEN
create type object_type as enum('body', 'bogies', 'coupler');
END IF;
END$$;
create table "user" (
id serial,
email text unique not null,
created timestamp not null default current_timestamp,
last_online timestamp not null default current_timestamp,
nickname text not null,
password text not null,
primary key (id)
);
create table companies (
id serial,
name text not null,
company_type company_type,
primary key (id)
);
-- one of these is made for each user as their downloads
create table collections (
id serial,
author_id integer not null,
created timestamp not null default current_timestamp,
last_updated timestamp not null default current_timestamp,
name text not null,
is_public boolean,
primary key (id),
foreign key (author_id) references "user"(id)
);
create table model (
id serial,
author_id integer not null,
created timestamp not null default current_timestamp,
last_updated timestamp not null default current_timestamp,
title text not null,
description text not null,
model_type model_type,
countries text[],
manufacturer_ref integer,
tags text[],
ratings integer[],
thumbnail_name text not null,
thumbnail bytea not null,
primary key (id),
foreign key (author_id) references "user" (id),
foreign key (manufacturer_ref) references companies(id)
);
-- keep these seperate for the models which use a common front and back value
create table object_files (
id serial,
object_type object_type,
obj_file bytea not null,
primary key (id)
);
create table variant (
id serial,
author_id integer not null,
model_ref integer not null,
created timestamp not null default current_timestamp,
last_updated timestamp not null default current_timestamp,
name text not null,
description text,
tags text[],
ratings integer[],
body_ref integer not null,
bogie_front_ref integer not null,
bogie_back_ref integer not null,
coupler_front_ref integer not null,
coupler_back_ref integer not null,
config_file bytea not null,
primary key (id),
foreign key (author_id) references "user"(id),
foreign key (model_ref) references model(id),
foreign key (body_ref) references object_files(id),
foreign key (bogie_front_ref) references object_files(id),
foreign key (bogie_back_ref) references object_files(id),
foreign key (coupler_front_ref) references object_files(id),
foreign key (coupler_back_ref) references object_files(id)
);
create table liveries (
id serial,
author_id integer not null,
variant_ref integer not null,
created timestamp not null default current_timestamp,
name text not null,
description text,
operator_ref integer,
ratings integer[],
texture_file bytea not null,
primary key (id),
foreign key (author_id) references "user" (id),
foreign key (variant_ref) references variant (id),
foreign key (operator_ref) references companies(id)
);
| true |
298218ed6a5f1fe5386c90fc6b2acac65c9c4fe9 | SQL | edelaguila/Proyectos-UMG | /Scripts/Modelo Financiero 1.4.sql | UTF-8 | 20,165 | 3.078125 | 3 | [] | no_license |
SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
-- -----------------------------------------------------
CREATE SCHEMA IF NOT EXISTS `finanzas` DEFAULT CHARACTER SET utf8 ;
USE `finanzas` ;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `asientocontabledetalle`
--
CREATE TABLE `asientocontabledetalle` (
`Codigo_DetalleAsiento` varchar(100) NOT NULL,
`CuentaContable_Asiento` varchar(100) NOT NULL,
`Partida_Asiento` varchar(100) NOT NULL,
`Encabezado_Asiento` varchar(100) NOT NULL,
`Tipo_Asiento` varchar(100) NOT NULL,
`Monto_Debe` varchar(100) NOT NULL,
`Monto_Haber` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `asientocontabledetalle`
--
INSERT INTO `asientocontabledetalle` (`Codigo_DetalleAsiento`, `CuentaContable_Asiento`, `Partida_Asiento`, `Encabezado_Asiento`, `Tipo_Asiento`, `Monto_Debe`, `Monto_Haber`) VALUES
('0000001', 'A001-Caja', '0000001', '0000001', 'AO1', '800', '0'),
('0000002', 'A002-Bancos', '0000001', '0000001', 'AO1', '0', '800'),
('0000003', 'C001-Compras', '0000002', '0000001', 'AO1', '850000', '0'),
('0000004', 'A001-IVAPC', '0000002', '0000001', 'AO1', '102000', '0'),
('0000005', 'A001-Caja', '0000002', '0000001', 'AO1', '0', '952000'),
('0000006', 'A002-MOBYEQU', '0000003', '0000001', 'AA1', '3500', '0'),
('0000007', 'A001-IVAPC', '0000003', '0000001', 'AO1', '420', '0'),
('0000008', 'A001-Caja', '0000003', '0000001', 'AO1', '0', '420'),
('0000009', 'P001-DOCPC', '0000003', '0000001', 'AO1', '0', '3500');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `banco`
--
CREATE TABLE `banco` (
`Codigo_Banco` varchar(100) NOT NULL,
`Nombre_Banco` varchar(100) NOT NULL,
`Clave_Banco` varchar(100) NOT NULL,
`Telefono_Banco` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `Banco`
--
INSERT INTO `banco` (`Codigo_Banco`, `Nombre_Banco`, `Clave_Banco`, `Telefono_Banco`) VALUES
('AC0221', 'Banrural', '18829191', '22335654'),
('AC0321', 'Banrural', '14529191', '22335654'),
('AC0421', 'Banrural', '17629191', '22335654'),
('CP2343', 'Banco Industrial', '46654444', '34533463'),
('CP2543', 'Banco Industrial', '47854444', '34533463');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cheque`
--
CREATE TABLE `cheque` (
`Numero_Cheque` varchar(255) NOT NULL,
`Fecha_Cheque` varchar(255) NOT NULL,
`FK_Banco` varchar(255) NOT NULL,
`FK_Cuenta` varchar(255) NOT NULL,
`FK_Cuentahabiente` varchar(255) NOT NULL,
`Monto_Cheque` float NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `cheque`
--
INSERT INTO `cheque` (`Numero_Cheque`, `Fecha_Cheque`, `FK_Banco`,`FK_Cuenta`,`FK_Cuentahabiente`,`Monto_Cheque`) VALUES
('00022','09/05/2021','AC0221','499399','33949','455'),
('00023','05/05/2021','AC0221','499399','12343','3433'),
('00024','04/05/2021','AC0221','499399','12444','45444'),
('00025','06/05/2021','AC0221','499399','43422','433'),
('00026','07/05/2021','AC0221','564544','43221','345345');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `clasificacioncuenta`
--
CREATE TABLE `clasificacioncuenta` (
`Codigo_clasificacion` varchar(100) NOT NULL,
`Clasificacion_CuentaNombre` varchar(100) DEFAULT NULL,
`Descripcion_Clasificacion` varchar(100) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `clasificacioncuenta`
--
INSERT INTO `clasificacioncuenta` (`Codigo_clasificacion`, `Clasificacion_CuentaNombre`, `Descripcion_Clasificacion`) VALUES
('A001', 'Activo Corriente', 'Activos que se movilizan en la empresa en un período menor o igual a un año.'),
('A002', 'Activo No Corriente', 'Activos que se movilizan en un período mayor a un año y menor a 3 años.'),
('C001', 'Resultados', 'Capital de la Empresa'),
('C002', 'Estado de Resultados', 'Resultados'),
('P001', 'Pasivo Corriente', 'Pasivos que se movilizan en un período menor a un año.'),
('P002', 'Pasivo No Corriente', 'Pasivos que circulan entre uno y tres años.');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cuentabancaria`
--
CREATE TABLE `cuentabancaria` (
`Numero_CuentaBancaria` varchar(100) NOT NULL,
`Moneda_Cuenta` varchar(100) NOT NULL,
`CuentaHabiente_Cuenta` varchar(100) NOT NULL,
`Banco_Cuenta` varchar(100) NOT NULL,
`Saldo_Cuenta` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `cuentabancaria`
--
INSERT INTO `cuentabancaria` (`Numero_CuentaBancaria`, `Moneda_Cuenta`, `CuentaHabiente_Cuenta`, `Banco_Cuenta`,`Saldo_Cuenta`) VALUES
('232234', 'GTQ', '43422', 'AC0221', '0'),
('234232', 'GTQ', '12343', 'AC0221', '0'),
('446464', 'GTQ', '12444', 'AC0221', '0'),
('499399', 'GTQ', '33949', 'AC0221', '0'),
('564544', 'GTQ', '43221', 'AC0221', '0');
-- --------------------------------------------------------
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cuentacontable`
--
CREATE TABLE `cuentacontable` (
`Codigo_CuentaContable` varchar(100) NOT NULL,
`Nombre_CuentaContable` varchar(100) DEFAULT NULL,
`Clasificacion_CuentaContable` varchar(100) DEFAULT NULL,
`Estado_CuentaContable` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
`Monto_CuentaContable` varchar(100) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `cuentacontable`
--
INSERT INTO `cuentacontable` (`Codigo_CuentaContable`, `Nombre_CuentaContable`, `Clasificacion_CuentaContable`, `Estado_CuentaContable`, `Monto_CuentaContable`) VALUES
('A001-Caja', 'Caja', 'A001', 'A', '15000'),
('A001-IVAPC', 'IVA por pagar', 'A001', 'A', '0'),
('A002-Bancos', 'Bancos', 'A002', 'I', '8000'),
('A002-MOBYEQU', 'Mobiliario y Equipo', 'A002', 'A', '0'),
('C001-Compras', 'Compras', 'C001', 'A', '0'),
('P001-DOCPC', 'Documentos por Pagar', 'P001', 'A', '0');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `cuentahabiente`
--
CREATE TABLE `cuentahabiente` (
`Codigo_CuentaHabiente` varchar(100) NOT NULL,
`Nombre_CuentaHabiente` varchar(100) NOT NULL,
`ApellidoP_CuentaHabiente` varchar(100) NOT NULL,
`ApellidoM_CuentaHabiente` varchar(100) NOT NULL,
`TipoPersona_CuentaHabiente` varchar(100) NOT NULL,
`Saldo_Habilitado` varchar(100) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `cuentahabiente`
--
INSERT INTO `cuentahabiente` (`Codigo_CuentaHabiente`, `Nombre_CuentaHabiente`, `ApellidoP_CuentaHabiente`,`ApellidoM_CuentaHabiente`,`TipoPersona_CuentaHabiente`,`Saldo_Habilitado`) VALUES
('33949', 'SANTIAGO', 'MARTINEZ', 'DIAZ', 'PN1','10'),
('12343', 'MARCO', 'LOPEZ', 'LOPEZ', 'PN1','10'),
('12444', 'ADRIANA', 'HERNANDEZ', 'MONTERROZA', 'PN1','10'),
('43422', 'ALEXANDER', 'CARVAJAL', 'VARGAS', 'PN1','10'),
('43221', 'ANGELA', 'VILLA', 'MONROY', 'PN1','10');
-- --------------------------------------------------------
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `Deposito`
--
CREATE TABLE `Deposito` (
`Codigo_CuentaHabiente` varchar(100) NOT NULL,
`Balance` varchar(100) NOT NULL,
`Transaccion` varchar(100) NOT NULL,
`fecha` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `Deposito`
--
INSERT INTO `Deposito` (`Codigo_CuentaHabiente`, `Balance`, `Transaccion`, `fecha`) VALUES
('232234', '0', '100', '22/05/2021'),
('234232', '0', '100', '22/05/2021'),
('446464', '0', '100', '22/05/2021'),
('499399', '0', '100', '22/05/2021'),
('564544', '0', '100', '22/05/2021');
--
-- Volcado de datos para la tabla `cuentahabiente`
--
INSERT INTO `cuentahabiente` (`Codigo_CuentaHabiente`, `Nombre_CuentaHabiente`, `ApellidoP_CuentaHabiente`, `ApellidoM_CuentaHabiente`, `TipoPersona_CuentaHabiente`) VALUES
('A001CB', 'Juan', 'Pérez', 'López', 'PN1');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `encabezadoasientocontable`
--
CREATE TABLE `encabezadoasientocontable` (
`Codigo_EncabezadoAsiento` varchar(100) NOT NULL,
`Fecha_AsientoContable` varchar(100) NOT NULL,
`Moneda_Asiento` varchar(100) NOT NULL,
`Descripcion_Asiento` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `encabezadoasientocontable`
--
INSERT INTO `encabezadoasientocontable` (`Codigo_EncabezadoAsiento`, `Fecha_AsientoContable`, `Moneda_Asiento`, `Descripcion_Asiento`) VALUES
('0000001', '09/05/2021', 'GTQ', 'Libro diario del mes de mayo.'),
('0000002', '01/06/2021', 'GTQ', 'Libro Diario de Junio 2021'),
('0000003', '12/01/2021', 'GTQ', 'Libro Diario de Enero 2021'),
('0000004', '01/06/2021', 'GTQ', 'Libro Diario de Febrero 2021'),
('0000005', '22/05/2021', 'GTQ', 'Libro Diario de Abril 2021');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `moneda`
--
CREATE TABLE `moneda` (
`Codigo_Moneda` varchar(100) NOT NULL,
`Nombre_Moneda` varchar(100) NOT NULL,
`Simbolo_Moneda` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `moneda`
--
INSERT INTO `moneda` (`Codigo_Moneda`, `Nombre_Moneda`, `Simbolo_Moneda`) VALUES
('GTQ', 'Quetzal guatemalteco', 'Q'),
('JPY', 'Yen japonés', '¥'),
('EUR', 'Euro', '€'),
('GBP', 'Libra esterlina', '£'),
('USD', 'Dólar', '$');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `partidacontable`
--
CREATE TABLE `partidacontable` (
`Codigo_PartidaContable` varchar(100) NOT NULL,
`Fecha_PartidaContable` varchar(100) NOT NULL,
`Periodo_FiscalPartida` varchar(100) NOT NULL,
`Glosa_PartidaContable` varchar(100) NOT NULL,
`Monto_DeCuadre` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `partidacontable`
--
INSERT INTO `partidacontable` (`Codigo_PartidaContable`, `Fecha_PartidaContable`, `Periodo_FiscalPartida`, `Glosa_PartidaContable`, `Monto_DeCuadre`) VALUES
('0000001', '09/05/2021', 'PF2021', 'Depósito de Caja a Bancos', '0'),
('0000002', '13/05/2021', 'PF2021', 'Compras al contado según Fac. No. 1566 de Seprodi.S.A.', '0'),
('0000003', '13/05/2021', 'PF2021', 'Compra de una fotocopiadora para uso de La empresa pagando el iva en efectivo.', '0');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `periodofiscal`
--
CREATE TABLE `periodofiscal` (
`Codigo_PeriodoFiscal` varchar(100) NOT NULL,
`Fecha_inicioPF` varchar(100) NOT NULL,
`Fecha_finPF` varchar(100) NOT NULL,
`Estado_PeriodoFiscal` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `periodofiscal`
--
INSERT INTO `periodofiscal` (`Codigo_PeriodoFiscal`, `Periodo_FiscalAño`, `Estado_PeriodoFiscal`) VALUES
('PF2017', '01/01/2017','31/12/2018', '0'),
('PF2018', '01/01/2018','31/12/2019', '0'),
('PF2019', '01/01/2019','31/12/2020', '0'),
('PF2020', '01/01/2020','31/12/2021', '0'),
('PF2021', '01/01/2021','31/12/2022', '1');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `tipopersona`
--
CREATE TABLE `tipopersona` (
`Codigo_TipoPersona` varchar(100) NOT NULL,
`TipoPersona_Nombres` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `tipopersona`
--
INSERT INTO `tipopersona` (`Codigo_TipoPersona`, `TipoPersona_Nombres`) VALUES
('PN1', 'Persona Natural'),
('PN2', 'Persona Juridica');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `tipotransaccion`
--
CREATE TABLE `tipotransaccion` (
`Codigo_TipoTransaccion` varchar(100) NOT NULL,
`Transaccion_Tipo` varchar(100) NOT NULL,
`Efecto_TipoTransaccion` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `tipotransaccion`
--
INSERT INTO `tipotransaccion` (`Codigo_TipoTransaccion`, `Transaccion_Tipo`, `Efecto_TipoTransaccion`) VALUES
('2293339', 'Deposito', '400'),
('1399929', 'Bancaria', '200'),
('4220399', 'Bancaria', '300'),
('4320010', 'Deposito', '500'),
('2311211', 'Deposito', '600');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `tipo_asiento`
--
CREATE TABLE `tipo_asiento` (
`Codigo_TipoAsiento` varchar(100) NOT NULL,
`Tipo_AsientoDesc` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `tipo_asiento`
--
INSERT INTO `tipo_asiento` (`Codigo_TipoAsiento`, `Tipo_AsientoDesc`) VALUES
('AA1', 'Asiento de Ajustes'),
('AO1', 'Asiento Ordinario');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `transaccionbancaria`
--
CREATE TABLE `transaccionbancaria` (
`Codigo_Transaccion` varchar(100) NOT NULL,
`Fecha_Transaccion` varchar(100) NOT NULL,
`Beneficiario` varchar(100) NOT NULL,
`Cuenta_Bancaria` varchar(100) NOT NULL,
`Tipo_Transaccion` varchar(100) NOT NULL,
`Monto_Transaccion` varchar(100) NOT NULL,
`Concepto_Transaccion` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Volcado de datos para la tabla `transaccionbancaria`
--
INSERT INTO `transaccionbancaria` (`Codigo_Transaccion`, `Fecha_Transaccion`, `Beneficiario`,`Cuenta_Bancaria`,`Tipo_Transaccion`,`Monto_Transaccion`,`Concepto_Transaccion`) VALUES
('001', '17/05/2020', 'SANTIAGO MARTINEZ DIAZ', '499399', '2293339', '455', 'PAGO DE DEUDA'),
('002', '17/05/2020', 'MARCO LOPEZ LOPEZ', '234232', '2293339', '3433', 'PAGO DE DEUDA'),
('003', '17/05/2020', 'juan HERNANDEZ MONTERROZA', '446464', '2293339', '45444', 'PAGO DE DEUDA'),
('004', '17/05/2020', 'ANGELA CARVAJAL VARGAS','232234', '2293339','433', 'PAGO DE DEUDA'),
('005', '17/05/2020', 'JOSEFINA VILLA MONROY','564544', '2293339', '345345', 'PAGO DE DEUDA');
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `asientocontabledetalle`
--
ALTER TABLE `asientocontabledetalle`
ADD PRIMARY KEY (`Codigo_DetalleAsiento`),
ADD KEY `fkAsientoContableDetalleCuentaContable1` (`CuentaContable_Asiento`),
ADD KEY `fkAsientoContableDetallePartidaContable1` (`Partida_Asiento`),
ADD KEY `fkAsientoContableDetalleEncabezadoAsientoContable1` (`Encabezado_Asiento`),
ADD KEY `fkAsientoContableDetalleTipo_Asiento1` (`Tipo_Asiento`);
--
-- Indices de la tabla `banco`
--
ALTER TABLE `banco`
ADD PRIMARY KEY (`Codigo_Banco`);
--
-- Indices de la tabla `cheque`
--
ALTER TABLE `cheque`
ADD PRIMARY KEY (`Numero_Cheque`),
ADD KEY `FK_BANCOCHEQUE` (`FK_Banco`);
--
-- Indices de la tabla `clasificacioncuenta`
--
ALTER TABLE `clasificacioncuenta`
ADD PRIMARY KEY (`Codigo_clasificacion`);
--
-- Indices de la tabla `cuentabancaria`
--
ALTER TABLE `cuentabancaria`
ADD PRIMARY KEY (`Numero_CuentaBancaria`),
ADD KEY `fkCuentaBancariaMoneda1` (`Moneda_Cuenta`),
ADD KEY `fkCuentaBancariaCuentaHabiente1` (`CuentaHabiente_Cuenta`),
ADD KEY `fkCuentaBancariaBanco1` (`Banco_Cuenta`);
--
-- Indices de la tabla `cuentacontable`
--
ALTER TABLE `cuentacontable`
ADD PRIMARY KEY (`Codigo_CuentaContable`),
ADD KEY `fkCuentaContableClasificacionCuenta1` (`Clasificacion_CuentaContable`);
--
-- Indices de la tabla `cuentahabiente`
--
ALTER TABLE `cuentahabiente`
ADD PRIMARY KEY (`Codigo_CuentaHabiente`),
ADD KEY `fkCuentaHabienteTipoPersona1` (`TipoPersona_CuentaHabiente`);
--
-- Indices de la tabla `encabezadoasientocontable`
--
ALTER TABLE `encabezadoasientocontable`
ADD PRIMARY KEY (`Codigo_EncabezadoAsiento`),
ADD KEY `fkEncabezadoAsientoContableMoneda1` (`Moneda_Asiento`);
--
-- Indices de la tabla `moneda`
--
ALTER TABLE `moneda`
ADD PRIMARY KEY (`Codigo_Moneda`);
--
-- Indices de la tabla `partidacontable`
--
ALTER TABLE `partidacontable`
ADD PRIMARY KEY (`Codigo_PartidaContable`),
ADD KEY `fkPartida_ContablePeriodoFiscal1` (`Periodo_FiscalPartida`);
--
-- Indices de la tabla `periodofiscal`
--
ALTER TABLE `periodofiscal`
ADD PRIMARY KEY (`Codigo_PeriodoFiscal`);
--
-- Indices de la tabla `tipopersona`
--
ALTER TABLE `tipopersona`
ADD PRIMARY KEY (`Codigo_TipoPersona`);
--
-- Indices de la tabla `tipotransaccion`
--
ALTER TABLE `tipotransaccion`
ADD PRIMARY KEY (`Codigo_TipoTransaccion`);
--
-- Indices de la tabla `tipo_asiento`
--
ALTER TABLE `tipo_asiento`
ADD PRIMARY KEY (`Codigo_TipoAsiento`);
--
-- Indices de la tabla `transaccionbancaria`
--
ALTER TABLE `transaccionbancaria`
ADD PRIMARY KEY (`Codigo_Transaccion`),
ADD KEY `fkTransaccionBancariaCuentaBancaria1` (`Cuenta_Bancaria`),
ADD KEY `fkTransaccionBancariaTipoTransaccion1` (`Tipo_Transaccion`);
--
-- Restricciones para tablas volcadas
--
--
-- Filtros para la tabla `asientocontabledetalle`
--
ALTER TABLE `asientocontabledetalle`
ADD CONSTRAINT `fkAsientoContableDetalleCuentaContable1` FOREIGN KEY (`CuentaContable_Asiento`) REFERENCES `cuentacontable` (`Codigo_CuentaContable`),
ADD CONSTRAINT `fkAsientoContableDetalleEncabezadoAsientoContable1` FOREIGN KEY (`Encabezado_Asiento`) REFERENCES `encabezadoasientocontable` (`Codigo_EncabezadoAsiento`),
ADD CONSTRAINT `fkAsientoContableDetallePartidaContable1` FOREIGN KEY (`Partida_Asiento`) REFERENCES `partidacontable` (`Codigo_PartidaContable`),
ADD CONSTRAINT `fkAsientoContableDetalleTipo_Asiento1` FOREIGN KEY (`Tipo_Asiento`) REFERENCES `tipo_asiento` (`Codigo_TipoAsiento`);
--
-- Filtros para la tabla `cuentabancaria`
--
ALTER TABLE `cuentabancaria`
ADD CONSTRAINT `fkCuentaBancariaBanco1` FOREIGN KEY (`Banco_Cuenta`) REFERENCES `banco` (`Codigo_Banco`),
ADD CONSTRAINT `fkCuentaBancariaCuentaHabiente1` FOREIGN KEY (`CuentaHabiente_Cuenta`) REFERENCES `cuentahabiente` (`Codigo_CuentaHabiente`),
ADD CONSTRAINT `fkCuentaBancariaMoneda1` FOREIGN KEY (`Moneda_Cuenta`) REFERENCES `moneda` (`Codigo_Moneda`);
--
-- Filtros para la tabla `cuentacontable`
--
ALTER TABLE `cuentacontable`
ADD CONSTRAINT `fkCuentaContableClasificacionCuenta1` FOREIGN KEY (`Clasificacion_CuentaContable`) REFERENCES `clasificacioncuenta` (`Codigo_clasificacion`);
--
-- Filtros para la tabla `cuentahabiente`
--
ALTER TABLE `cuentahabiente`
ADD CONSTRAINT `fkCuentaHabienteTipoPersona1` FOREIGN KEY (`TipoPersona_CuentaHabiente`) REFERENCES `tipopersona` (`Codigo_TipoPersona`);
--
-- Filtros para la tabla `encabezadoasientocontable`
--
ALTER TABLE `encabezadoasientocontable`
ADD CONSTRAINT `fkEncabezadoAsientoContableMoneda1` FOREIGN KEY (`Moneda_Asiento`) REFERENCES `moneda` (`Codigo_Moneda`);
--
-- Filtros para la tabla `partidacontable`
--
ALTER TABLE `partidacontable`
ADD CONSTRAINT `fkPartida_ContablePeriodoFiscal1` FOREIGN KEY (`Periodo_FiscalPartida`) REFERENCES `periodofiscal` (`Codigo_PeriodoFiscal`);
--
-- Filtros para la tabla `transaccionbancaria`
--
ALTER TABLE `transaccionbancaria`
ADD CONSTRAINT `fkTransaccionBancariaCuentaBancaria1` FOREIGN KEY (`Cuenta_Bancaria`) REFERENCES `cuentabancaria` (`Numero_CuentaBancaria`),
ADD CONSTRAINT `fkTransaccionBancariaTipoTransaccion1` FOREIGN KEY (`Tipo_Transaccion`) REFERENCES `tipotransaccion` (`Codigo_TipoTransaccion`);
COMMIT;
--
-- Filtros para la tabla `cheque`
--
ALTER TABLE `cheque`
ADD CONSTRAINT `fkChequeBancoBanco1` FOREIGN KEY (`FK_Banco`) REFERENCES `Banco` (`Codigo_Banco`),
ADD CONSTRAINT `fkChequeCuentaBancaria1` FOREIGN KEY (`FK_Cuenta`) REFERENCES `CuentaBancaria` (`Numero_CuentaBancaria`),
ADD CONSTRAINT `fkChequeCuentaHabiente1` FOREIGN KEY (`FK_Cuentahabiente`) REFERENCES `CuentaHabiente` (`Codigo_CuentaHabiente`);
COMMIT;
| true |
59c71249084b2068c312c4565e57566354b7ffe4 | SQL | Deutsche-Digitale-Bibliothek/ddb-virtualexhibitions | /omeka/application/schema/search_texts.sql | UTF-8 | 506 | 3.140625 | 3 | [
"Apache-2.0"
] | permissive | CREATE TABLE IF NOT EXISTS `%PREFIX%search_texts` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`record_type` varchar(30) COLLATE utf8_unicode_ci NOT NULL,
`record_id` int(10) unsigned NOT NULL,
`public` tinyint(1) NOT NULL,
`title` mediumtext COLLATE utf8_unicode_ci,
`text` longtext COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `record_name` (`record_type`,`record_id`),
FULLTEXT KEY `text` (`text`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
| true |
8bb0fee241e5af7d7b04a6c5449ab3d2cdc8f355 | SQL | sahareslami/Spotify-Database | /querys/infoOfMusicInPlaylist(srch4).sql | UTF-8 | 154 | 2.640625 | 3 | [] | no_license | select m.musicName, phm.addedDate, m.duration
from palylisthavemusic as phm, music as m
where phm.playListId = 'shivaPlaylist' and phm.musicId = m.musicId | true |
f44db24eb58051942949dc4b8f84f551a921a826 | SQL | WillZWL/shop | /admincentre/dbv/data/schema/flex_pmgw_transactions.sql | UTF-8 | 1,101 | 2.859375 | 3 | [] | no_license | CREATE TABLE `flex_pmgw_transactions` (
`so_no` char(8) NOT NULL,
`payment_gateway_id` varchar(20) NOT NULL,
`txn_id` varchar(100) DEFAULT NULL COMMENT 'Transaction id',
`payment_type` varchar(2) NOT NULL COMMENT 'S = SETTLEED, C = CHARGEBACK, R=REFUND',
`txn_time` datetime NOT NULL,
`currency_id` char(3) NOT NULL,
`amount` double(15,2) unsigned NOT NULL,
`commission` double(15,2) unsigned DEFAULT '0.00',
`ext_ref` text,
`create_on` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`create_at` int(10) unsigned NOT NULL DEFAULT '2130706433' COMMENT 'IP address, default 127.0.0.1',
`create_by` varchar(32) NOT NULL DEFAULT 'system',
`modify_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`modify_at` int(10) unsigned NOT NULL DEFAULT '2130706433' COMMENT 'IP address',
`modify_by` varchar(32) NOT NULL DEFAULT 'system',
PRIMARY KEY (`so_no`,`payment_type`),
KEY `fk_fpt_payment_gateway_id` (`payment_gateway_id`),
CONSTRAINT `fk_fpt_so_no` FOREIGN KEY (`so_no`) REFERENCES `so_copy` (`so_no`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 | true |
c9fd92af9d0897dbe07c95c8d8e5e016fdffaad2 | SQL | rmurugaiyan1/mobydq | /db/init/07-indicator-group.sql | UTF-8 | 1,287 | 3.640625 | 4 | [
"Apache-2.0"
] | permissive | /*Connect to database*/
\connect mobydq
/*Create table indicator group*/
CREATE TABLE base.indicator_group (
id SERIAL PRIMARY KEY
, name TEXT NOT NULL UNIQUE
, created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
, updated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
, created_by_id INTEGER DEFAULT base.get_current_user_id() REFERENCES base.user(id)
, updated_by_id INTEGER DEFAULT base.get_current_user_id() REFERENCES base.user(id)
, user_group_id INTEGER DEFAULT 0 REFERENCES base.user_group(id)
);
COMMENT ON TABLE base.indicator_group IS
'Indicator groups define collections of indicators to be computed in the same batch.';
CREATE TRIGGER indicator_group_update_updated_date BEFORE UPDATE
ON base.indicator_group FOR EACH ROW EXECUTE PROCEDURE
base.update_updated_date();
CREATE TRIGGER indicator_group_update_updated_by_id BEFORE UPDATE
ON base.indicator_group FOR EACH ROW EXECUTE PROCEDURE
base.update_updated_by_id();
CREATE TRIGGER indicator_group_delete_indicator BEFORE DELETE
ON base.indicator_group FOR EACH ROW EXECUTE PROCEDURE
base.delete_children('indicator', 'indicator_group_id');
CREATE TRIGGER indicator_group_delete_batch BEFORE DELETE
ON base.indicator_group FOR EACH ROW EXECUTE PROCEDURE
base.delete_children('batch', 'indicator_group_id');
| true |
48479f8062e4c5baffdece69573e124b0229c72c | SQL | mmckinneyjr/ProjectAndPortfolio3 | /CE02_DatabaseConnectivity/ContactList_2019-03-14.sql | UTF-8 | 2,309 | 3.1875 | 3 | [] | no_license | # ************************************************************
# Sequel Pro SQL dump
# Version 4541
#
# http://www.sequelpro.com/
# https://github.com/sequelpro/sequelpro
#
# Host: 127.0.0.1 (MySQL 5.7.23)
# Database: ContactList
# Generation Time: 2019-03-15 02:13:06 +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 MyContacts
# ------------------------------------------------------------
DROP TABLE IF EXISTS `MyContacts`;
CREATE TABLE `MyContacts` (
`ID` int(50) NOT NULL AUTO_INCREMENT,
`FirstName` varchar(100) DEFAULT NULL,
`LastName` varchar(100) DEFAULT NULL,
`PhoneNumber` varchar(50) DEFAULT NULL,
`Email` varchar(150) DEFAULT NULL,
`Relation` varchar(100) DEFAULT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
LOCK TABLES `MyContacts` WRITE;
/*!40000 ALTER TABLE `MyContacts` DISABLE KEYS */;
INSERT INTO `MyContacts` (`ID`, `FirstName`, `LastName`, `PhoneNumber`, `Email`, `Relation`)
VALUES
(1,'Clark','Kent','2342342424','superman@gmail.com','Other'),
(2,'Martha','Kent','2734848723','supermom@yahoo.com','Family'),
(3,'John','Kent','2342342344','farmguy@msn.com','Family'),
(4,'Lex','Luther','2434242356','lex@luthercorp.com','Business'),
(5,'Lois','Lane','2435435355','llane@dailyplanet.com','Friend'),
(6,'Pete','Ross','3565473453','peteross@gmail.com','Friend'),
(7,'Lionel','Luther','4353653464','lionel@luthercorp.com','Business'),
(8,'Dooms','Day','3564645234','destroyer@hotmail.com','Other'),
(9,'Lana','Lang','3456543276','Lanalang@gmail.com','Friend');
/*!40000 ALTER TABLE `MyContacts` 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 */;
| true |
2bd4a18b5e5b719c98d7d6714c942a34d49e50af | SQL | krirto12/WMS | /sql/DataImport/wms_db_wms_record_out.sql | UTF-8 | 2,775 | 2.734375 | 3 | [] | no_license | -- MySQL dump 10.13 Distrib 5.6.24, for Win64 (x86_64)
--
-- Host: 139.199.179.164 Database: wms_db
-- ------------------------------------------------------
-- Server version 5.7.17
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `wms_record_out`
--
DROP TABLE IF EXISTS `wms_record_out`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `wms_record_out` (
`RECORD_ID` int(11) NOT NULL AUTO_INCREMENT,
`RECORD_CUSTOMERID` int(11) NOT NULL,
`RECORD_GOODID` int(11) NOT NULL,
`RECORD_NUMBER` int(11) NOT NULL,
`RECORD_TIME` datetime NOT NULL,
`RECORD_PERSON` varchar(10) NOT NULL,
`RECORD_REPOSITORYID` int(11) NOT NULL,
PRIMARY KEY (`RECORD_ID`),
KEY `RECORD_CUSTOMERID` (`RECORD_CUSTOMERID`),
KEY `RECORD_GOODID` (`RECORD_GOODID`),
KEY `RECORD_REPOSITORYID` (`RECORD_REPOSITORYID`),
CONSTRAINT `wms_record_out_ibfk_1` FOREIGN KEY (`RECORD_CUSTOMERID`) REFERENCES `wms_customer` (`CUSTOMER_ID`),
CONSTRAINT `wms_record_out_ibfk_2` FOREIGN KEY (`RECORD_GOODID`) REFERENCES `wms_goods` (`GOOD_ID`),
CONSTRAINT `wms_record_out_ibfk_3` FOREIGN KEY (`RECORD_REPOSITORYID`) REFERENCES `wms_respository` (`REPO_ID`) ON DELETE NO ACTION ON UPDATE NO ACTION
) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `wms_record_out`
--
LOCK TABLES `wms_record_out` WRITE;
/*!40000 ALTER TABLE `wms_record_out` DISABLE KEYS */;
INSERT INTO `wms_record_out` VALUES (7,1214,104,750,'2016-12-31 00:00:00','admin',1003);
/*!40000 ALTER TABLE `wms_record_out` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2017-03-09 13:13:54
| true |
75108fdfc1fb1cf3eaf655be07a3d8ac51b905ca | SQL | tschreiner/devOps-Learning | /powershell/Scripts/BIB_Local/SCCM/find-collectionMembership.sql | UTF-8 | 306 | 2.84375 | 3 | [] | no_license | SELECT SMS_Collection.name
FROM SMS_FullCollectionMembership, SMS_Collection
where name = ##PRM:sms_r_system.LastLogonUserName##
and SMS_FullCollectionMembership.CollectionID = SMS_Collection.CollectionID
and SMS_Collection.name LIKE 'Serveri%'
and SMS_Collection.name != 'Serveri svi koji se patch-uju' | true |
2fbd5b399e4ce54e5f688a2520a2e3fbdf06ca90 | SQL | cmichon/h2lander | /init.sql | UTF-8 | 273 | 2.96875 | 3 | [
"MIT"
] | permissive | DROP ALL OBJECTS;
CREATE TABLE TAXNUM (
TSN CHAR(6) PRIMARY KEY NOT NULL
, NAME VARCHAR(255) NOT NULL
, "TYPE" VARCHAR(255) NOT NULL
, PARENT CHAR(6)
);
INSERT INTO TAXNUM SELECT * FROM CSVREAD('taxnum.csv');
CREATE INDEX TAXNUM_ON_PARENT ON TAXNUM(PARENT); | true |
881188beec1fdc2b12f1c7ecfc1b3459357aed38 | SQL | nahmed23/git-github.com-Life-Time-Inc-database_udw | /ltdatabaseudw/marketing/Views/v_fact_mms_member_usage_member_club_summary.sql | UTF-8 | 2,019 | 3.890625 | 4 | [] | no_license | CREATE VIEW [marketing].[v_fact_mms_member_usage_member_club_summary]
AS select member.member_id,
club.club_id,
usage.all_checkins,
usage.current_month_checkins,
usage.current_week_checkins,
usage.today_checkins,
usage.last_checkin_dim_date_key,
usage.last_checkin_date_time,
case when today_dd.day_number_in_month = 2 and month(usage.last_checkin_date_time) = month(today_dd.calendar_date)
then usage.udw_inserted_date_time
when today_dd.day_number_in_month = 2 and month(usage.last_checkin_date_time) <> month(today_dd.calendar_date)
then getdate()
else usage.udw_inserted_date_time end as udw_inserted_date_time
from
(
select fmu.checkin_dim_mms_member_key,
fmu.dim_club_key,
sum(1) all_checkins,
sum(case when dd.month_starting_dim_date_key = today_dd.month_starting_dim_date_key then 1 else 0 end) current_month_checkins,
sum(case when dd.year = today_dd.year and dd.week_number_in_year = today_dd.week_number_in_year then 1 else 0 end) current_week_checkins,
sum(case when dd.dim_date_key = today_dd.dim_date_key then 1 else 0 end) today_checkins,
max(dd.dim_date_key) last_checkin_dim_date_key,
max(fmu.checkin_date_time) last_checkin_date_time,
max(fmu.dv_inserted_date_time) udw_inserted_date_time
from marketing.v_fact_mms_member_usage fmu
join marketing.v_dim_date dd on convert(datetime,convert(Varchar,fmu.checkin_date_time,110),110) = dd.calendar_date
cross join v_get_date get_date
join marketing.v_dim_date today_dd on today_dd.calendar_date = get_date.get_date
group by fmu.checkin_dim_mms_member_key,
fmu.dim_club_key
) usage
join marketing.v_dim_mms_member member on usage.checkin_dim_mms_member_key = member.dim_mms_member_key
join marketing.v_dim_club club on usage.dim_club_key = club.dim_club_key
join marketing.v_dim_date cur_date on cur_date.dim_date_key = usage.last_checkin_dim_date_key
join marketing.v_dim_date today_dd on today_dd.dim_date_key = convert(varchar, getdate(), 112)
where member.customer_name not like '%House Account'
and usage.last_checkin_dim_date_key >= getdate() -31; | true |
39ba5f9cc07e8218a34e393df26ed31fdd90111d | SQL | JSQLParser/JSqlParser | /src/test/resources/net/sf/jsqlparser/statement/select/oracle-tests/groupby09.sql | UTF-8 | 535 | 2.9375 | 3 | [
"Apache-2.0",
"LGPL-2.1-only"
] | permissive | ---
-- #%L
-- JSQLParser library
-- %%
-- Copyright (C) 2004 - 2019 JSQLParser
-- %%
-- Dual licensed under GNU LGPL 2.1 or Apache License 2.0
-- #L%
---
select fact_1_id,
fact_2_id,
sum(sales_value) as sales_value,
grouping(fact_1_id) as f1g,
grouping(fact_2_id) as f2g
from dimension_tab
group by cube (fact_1_id, fact_2_id)
having grouping(fact_1_id) = 1 or grouping(fact_2_id) = 1
order by grouping(fact_1_id), grouping(fact_2_id)
--@SUCCESSFULLY_PARSED_AND_DEPARSED first on Aug 3, 2021, 7:20:08 AM | true |
265cc16b6fd41c872625f9a8d839b252e44b8870 | SQL | david82213/php-laravel | /php_laravel.sql | UTF-8 | 7,717 | 3.1875 | 3 | [
"MIT"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.2.7.1
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: 2014-12-02 04:57:56
-- 服务器版本： 5.6.20
-- PHP Version: 5.5.15
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `php_laravel`
--
-- --------------------------------------------------------
--
-- 表的结构 `forum_categories`
--
CREATE TABLE IF NOT EXISTS `forum_categories` (
`id` int(10) unsigned NOT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`group_id` int(11) NOT NULL,
`author_id` int(11) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=3 ;
--
-- 转存表中的数据 `forum_categories`
--
INSERT INTO `forum_categories` (`id`, `title`, `group_id`, `author_id`, `created_at`, `updated_at`) VALUES
(1, 'Test Category 1', 1, 1, '2014-11-24 20:07:15', '2014-11-24 20:07:15'),
(2, 'Test Category 2', 1, 1, '2014-11-24 20:07:15', '2014-11-24 20:07:15');
-- --------------------------------------------------------
--
-- 表的结构 `forum_comments`
--
CREATE TABLE IF NOT EXISTS `forum_comments` (
`id` int(10) unsigned NOT NULL,
`body` text COLLATE utf8_unicode_ci NOT NULL,
`group_id` int(11) NOT NULL,
`category_id` int(11) NOT NULL,
`thread_id` int(11) NOT NULL,
`author_id` int(11) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=2 ;
--
-- 转存表中的数据 `forum_comments`
--
INSERT INTO `forum_comments` (`id`, `body`, `group_id`, `category_id`, `thread_id`, `author_id`, `created_at`, `updated_at`) VALUES
(1, 'eeeee', 1, 1, 1, 2, '2014-12-02 03:24:00', '2014-12-02 03:24:00');
-- --------------------------------------------------------
--
-- 表的结构 `forum_groups`
--
CREATE TABLE IF NOT EXISTS `forum_groups` (
`id` int(10) unsigned NOT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`author_id` int(11) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=4 ;
--
-- 转存表中的数据 `forum_groups`
--
INSERT INTO `forum_groups` (`id`, `title`, `author_id`, `created_at`, `updated_at`) VALUES
(1, 'General Discussion', 1, '2014-11-24 20:06:31', '2014-11-24 20:06:31'),
(3, 'test group', 1, '2014-11-24 22:07:47', '2014-11-24 22:07:47');
-- --------------------------------------------------------
--
-- 表的结构 `forum_threads`
--
CREATE TABLE IF NOT EXISTS `forum_threads` (
`id` int(10) unsigned NOT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`body` text COLLATE utf8_unicode_ci NOT NULL,
`group_id` int(11) NOT NULL,
`category_id` int(11) NOT NULL,
`author_id` int(11) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=2 ;
--
-- 转存表中的数据 `forum_threads`
--
INSERT INTO `forum_threads` (`id`, `title`, `body`, `group_id`, `category_id`, `author_id`, `created_at`, `updated_at`) VALUES
(1, 'Hello', '1212r1212', 1, 1, 2, '2014-12-02 03:23:55', '2014-12-02 03:23:55');
-- --------------------------------------------------------
--
-- 表的结构 `migrations`
--
CREATE TABLE IF NOT EXISTS `migrations` (
`migration` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- 转存表中的数据 `migrations`
--
INSERT INTO `migrations` (`migration`, `batch`) VALUES
('2014_11_24_034508_create_users_table', 1),
('2014_11_24_034537_create_forum_groups_table', 1),
('2014_11_24_034555_create_forum_categories_table', 1),
('2014_11_24_034612_create_forum_threads_table', 1),
('2014_11_24_034633_create_forum_comments_table', 1);
-- --------------------------------------------------------
--
-- 表的结构 `users`
--
CREATE TABLE IF NOT EXISTS `users` (
`id` int(10) unsigned NOT NULL,
`username` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`isAdmin` enum('0','1') COLLATE utf8_unicode_ci NOT NULL DEFAULT '0',
`remember_token` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=7 ;
--
-- 转存表中的数据 `users`
--
INSERT INTO `users` (`id`, `username`, `password`, `isAdmin`, `remember_token`, `created_at`, `updated_at`, `email`) VALUES
(1, 'testuser1', '$2y$10$5nd/Pp2J3utNa/83Yhnu3.xf8GRxG0UUNp9veKzk/iF9bvxc2qXjy', '1', 'GTibYptOpGkkK5RvYdilScTTF0UiggxrHocF2fO8slOfS32ywuYrwSrszlbT', '2014-11-24 19:49:12', '2014-11-24 19:49:21', ''),
(2, 'testtesttest', '$2y$10$NTcN4fxZAwHjULfBdL3vC.HqM3.dY0rMaWUyB5nhv3z5KQfqgWys6', '0', 'MidNFXWcEXCQ48ePTbKDdvIZ4qrAzNUP9MqWgCDZhNfrgYFvn4QS9m65oqYZ', '2014-12-01 12:20:48', '2014-12-02 03:42:52', ''),
(3, 'test123', '$2y$10$RclwH2exCTozn/8jkh9uku.4GeLXbIMzMEtRGGvbU0BH77R2bxpK.', '0', '', '2014-12-02 03:43:15', '2014-12-02 03:43:15', ''),
(4, 'test1234', '$2y$10$2EjH27K62NRy/s2W81OsE.b7KEkjWeuifew9d.B0214tKz.95Xtkq', '0', '', '2014-12-02 03:43:58', '2014-12-02 03:43:58', ''),
(5, 'ffffff', '$2y$10$/1MmxhRYWvsFHvBI/tlWA.gCSwlCRn5p.7FsdC7WbTzzN4FbdrnrK', '0', '', '2014-12-02 03:46:21', '2014-12-02 03:46:21', ''),
(6, 'maxmaxmax', '$2y$10$yi5CfUuTBdWRfYK/zyElUeBog7D2rdjYKGXxiaIHJFYmWXG.2iCOq', '0', '', '2014-12-02 03:56:31', '2014-12-02 03:56:31', '');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `forum_categories`
--
ALTER TABLE `forum_categories`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `forum_comments`
--
ALTER TABLE `forum_comments`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `forum_groups`
--
ALTER TABLE `forum_groups`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `forum_threads`
--
ALTER TABLE `forum_threads`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `forum_categories`
--
ALTER TABLE `forum_categories`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `forum_comments`
--
ALTER TABLE `forum_comments`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `forum_groups`
--
ALTER TABLE `forum_groups`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `forum_threads`
--
ALTER TABLE `forum_threads`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=7;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
| true |
d34fd24b9a263bda4e1a9fb60e20eeedcb338c47 | SQL | maguon/sms_project | /db/sql/create_table.sql | UTF-8 | 3,245 | 3.5 | 4 | [] | no_license | SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for admin_user
-- ----------------------------
DROP TABLE IF EXISTS `admin_user`;
CREATE TABLE `admin_user` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '唯一自增ID',
`user_name` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '用户名',
`real_name` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '真实姓名',
`password` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '用户密码',
`mobile` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL COMMENT '手机号',
`status` tinyint(1) NOT NULL DEFAULT '1' COMMENT '状态(0-停用,1-可用)',
`created_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=100 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- ----------------------------
-- Table structure for user_info
-- ----------------------------
DROP TABLE IF EXISTS `user_info`;
CREATE TABLE `user_info` (
`uid` int(11) NOT NULL AUTO_INCREMENT COMMENT '唯一自增ID',
`mobile` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '用户名',
`real_name` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '真实姓名',
`password` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '用户密码',
`email` varchar(50) COLLATE utf8mb4_unicode_ci DEFAULT NULL COMMENT '邮箱',
`status` tinyint(1) NOT NULL DEFAULT '1' COMMENT '状态(0-停用,1-可用)',
`last_login_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '最后登录时间',
`created_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`uid`)
) ENGINE=InnoDB AUTO_INCREMENT=1000 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- ----------------------------
-- Table structure for `user_phone`
-- ----------------------------
DROP TABLE IF EXISTS `user_phone`;
CREATE TABLE `user_phone` (
`id` bigint(11) NOT NULL AUTO_INCREMENT,
`uid` int(11) NOT NULL,
`phone` varchar(20) NOT NULL,
`status` tinyint(1) NOT NULL DEFAULT '1',
`connect_count` int(11) DEFAULT '0',
`favor` tinyint(1) DEFAULT '0',
`remark` varchar(200) DEFAULT NULL,
`remark_status` tinyint(1) NOT NULL DEFAULT '0',
`date_id` int(11) DEFAULT NULL,
`updated_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`created_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Table structure for `user_phone_import`
-- ----------------------------
DROP TABLE IF EXISTS `user_phone_import`;
CREATE TABLE `sms`.`user_phone_import` (
`id` bigint(11) NOT NULL AUTO_INCREMENT,
`uid` bigint(11) NOT NULL,
`date_id` bigint(11) NOT NULL,
`upload_id` varchar(100),
`updated_on` timestamp NULL ON UPDATE CURRENT_TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
`created_on` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) COMMENT=''; | true |
24bfb18253bd9c71ef8b216a6c92b06990c7f562 | SQL | skuapso/psql | /sql/init_data/00.init.sql | UTF-8 | 7,299 | 3.078125 | 3 | [
"MIT"
] | permissive | set client_min_messages to 'notice';
do $$begin raise notice 'insert to options.data as %', current_user; end$$;
insert into options.data (name, value) values
('terminal_auto_add', 'true'),
('sim_auto_add', 'true'),
('sim_first_address', '10.0.0.0/32'),
('primary_dns', '8.8.8.8'),
('secondary_dns', '8.8.4.4'),
('radius_nas_auto_add', 'true')
;
do $$begin raise notice 'insert to terminals.models as %', current_user; end$$;
insert into terminals.models(title, protocols) values
('Геликс-2', '{"gelix2nsk"}'),
('Форт-300', '{"fort300"}'),
('Форт-111', '{"fort111","egts"}'),
('M2M GLX', '{"m2m"}'),
('Телтоника', '{"teltonika"}'),
('АвтоГис', '{"agis"}'),
('Wialon', '{"wialon"}')
;
do $$begin raise notice 'insert to terminals.ports as %', current_user; end$$;
insert into terminals.ports(model_id, ports) values
(2, '{"digital": {"in": [1, 2, 3, 4, 5, 6]}}')
;
do $$begin raise warning 'terminals ports not filled yet'; end$$;
do $$begin raise notice 'insert to sensors.types as %', current_user; end$$;
insert into sensors.types (title) values
('Местоположение')
,('Цифровой датчик')
,('Аналоговый датчик')
;
do $$begin raise notice 'insert to objects.tools as %', current_user; end$$;
insert into objects.tools(title, type_id) values
('Местоположение', -1)
,('Скорость', -3)
,('Захваченые спутники', -2)
,('Видимые спутники', -2)
,('Внешнее питание', -3)
,('Напряжение батареи', -3)
,('Уровень GSM сиганала', -2)
,('Зажигание', -2)
;
do $$begin raise notice 'insert to terminals.ports with provides as %', current_user; end$$;
insert into terminals.ports(model_id, ports, provides)
select id,column1,column2
from terminals.models
inner join
(
values
('"location"'::jsonb, 1)
,('"speed"', 2)
,('"used"', 3)
) S2
on true;
do $$begin raise notice 'insert to sensors.type_ports as %', current_user; end$$;
insert into sensors.type_ports values
(-1, 'location', 'sensor.compute_location')
,(-2, 'digital', null)
,(-3, 'speed', null)
,(-3, 'analog', null)
;
do $$begin raise notice 'setting roles as %', current_user; end$$;
drop role "$all";
drop role "$engineer";
drop role "$user_manager";
drop role "$manager";
drop role "$user";
drop role "$radius";
drop role "$writer";
create role "$all" nocreatedb nocreaterole nocreateuser nologin noreplication;
create role "$engineer" nocreatedb nocreaterole nocreateuser nologin noreplication;
create role "$user_manager" nocreatedb createrole nocreateuser nologin noreplication;
create role "$manager" nocreatedb nocreaterole nocreateuser nologin noreplication;
create role "$user" nocreatedb nocreaterole nocreateuser nologin noreplication;
create role "$radius" nocreatedb nocreaterole nocreateuser nologin noreplication;
create role "$writer" nocreatedb nocreaterole nocreateuser nologin noreplication;
create role "osm" nocreatedb nocreaterole nocreateuser login noreplication;
create schema if not exists authorization osm;
alter table uac.groups disable trigger insertb_00_check_user_exists;
insert into uac.groups values (default, null, '$all');
alter table uac.groups enable trigger insertb_00_check_user_exists;
grant execute on function uac.can_read_group(bigint) to "$user";
grant usage on schema _users to "$user";
grant usage on schema events to "$user";
grant usage on schema navigation to "$user";
grant usage on schema object to "$user";
grant usage on schema objects to "$user";
grant usage on schema sensor to "$user";
grant usage on schema sensors to "$user";
grant usage on schema terminal to "$user";
grant usage on schema terminals to "$user";
grant usage on schema uac to "$user";
grant usage on schema jsonb to "$user";
grant usage on schema gis to "$user";
grant select on _users.data to "$user";
grant select on _users.groups to "$user";
grant select on _users.all to "$user";
grant select on events.data to "$user";
grant select on objects.data to "$user";
grant select on objects.groups to "$user";
grant select on objects.models to "$user";
grant select on objects.sensors to "$user";
grant select on objects.specializations to "$user";
grant select on objects.tools to "$user";
grant select on sensors.data to "$user";
grant select on sensors.models to "$user";
grant select on sensors.types to "$user";
grant select on sensors.type_ports to "$user";
grant select on terminals.data to "$user";
grant select on terminals.models to "$user";
grant select on terminals.ports to "$user";
grant select on gis._data to "$user";
grant "$user" to "$manager";
grant usage on schema "group" to "$manager";
grant usage on schema triggers to "$manager";
grant update on objects.seq__data to "$manager";
grant all on objects.data to "$manager";
grant update on objects.seq__groups to "$manager";
grant all on objects.groups to "$manager";
revoke delete on objects._groups from "$manager";
grant all on objects.sensors to "$manager";
revoke delete on objects._sensors from "$manager";
grant update on objects.seq_models to "$manager";
grant all on objects.models to "$manager";
revoke delete on objects.models from "$manager";
grant update on objects.seq_specializations to "$manager";
revoke delete on objects.specializations from "$manager";
grant all on objects.specializations to "$manager";
grant update on objects.seq_tools to "$manager";
grant all on objects.tools to "$manager";
revoke delete on objects.tools from "$manager";
grant update on sensors.seq_ids to "$manager";
grant all on sensors._data to "$manager";
revoke delete on sensors._data from "$manager";
grant update on terminals.seq__data to "$manager";
grant all on terminals.data to "$manager";
do $$begin raise warning 'i think it should be done differently'; end$$;
-- grant select on options.data to public?
-- may be alter table options.data add column "module" and create view for each module?
grant usage on schema option to "$writer";
grant usage on schema options to "$writer";
grant select on options.data to "$writer";
grant "$writer" to "$radius";
grant usage on schema radius to "$radius";
grant all on radius.nas to "$radius";
grant all on radius.nas_apns to "$radius";
grant all on radius.nas_ips to "$radius";
grant update on radius.seq_nas to "$radius";
grant usage on schema sim to "$radius";
grant usage on schema sims to "$radius";
grant all on sims.data to "$radius";
grant all on sims.sessions to "$radius";
grant usage on schema ui to "$user";
| true |
f7b934a64dc72293a49f9a9a2fa10e98bf081158 | SQL | wai-doi/sql-drill | /chapter_5/8.sql | UTF-8 | 1,271 | 3.59375 | 4 | [] | no_license | SELECT
年月
, SUM(
CASE
WHEN p.CategoryID = 1 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct1
, SUM(
CASE
WHEN p.CategoryID = 2 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct2
, SUM(
CASE
WHEN p.CategoryID = 3 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct3
, SUM(
CASE
WHEN p.CategoryID = 4 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct4
, SUM(
CASE
WHEN p.CategoryID = 5 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct5
, SUM(
CASE
WHEN p.CategoryID = 6 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct6
, SUM(
CASE
WHEN p.CategoryID = 7 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct7
, SUM(
CASE
WHEN p.CategoryID = 8 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct8
, SUM(
CASE
WHEN p.CategoryID = 9 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct9
, SUM(
CASE
WHEN p.CategoryID = 10 THEN s.Quantity * p.Price
ELSE 0
END
) AS Ct10
FROM
(
SELECT
Quantity
, ProductID
, SUBSTR(CAST(SaleDate AS VARCHAR), 1, 7) AS 年月
FROM
Sales
) AS s
JOIN
Products AS p
ON s.ProductID = p.ProductID
GROUP BY
年月
ORDER BY
年月
;
| true |
07768b5af712b613677dbd43cc2a366b960fbd81 | SQL | gowebcl/database | /src/main/scripts/defintions/tables/application/service/srv_subcategories.sql | UTF-8 | 387 | 3.359375 | 3 | [] | no_license | drop table if exists srv_subcategories cascade;
create table if not exists srv_subcategories (
idf_subcategory numeric,
txt_subcategory text,
idf_category numeric,
constraint srv_subcategories_pk primary key (idf_subcategory),
constraint srv_subcategories_fk1 foreign key (idf_category) references srv_categories (idf_category)
);
comment on table srv_subcategories is 'ssc'; | true |
ce80bdb1b84ff3a62a6aa9fe7a07e90968872e5b | SQL | omarjcm/ssp | /codigo/versiones/v4.7.1.1/procedures/ssp_existe_ministro.sql | UTF-8 | 507 | 3.25 | 3 | [] | no_license | DELIMITER $$
DROP PROCEDURE IF EXISTS `ssp`.`ssp_existe_ministro` $$
CREATE DEFINER=`root`@`localhost` PROCEDURE `ssp_existe_ministro`(nombre_ VARCHAR(50), apellido_ VARCHAR(50), OUT mensaje VARCHAR(10))
BEGIN
DECLARE apellido_ministro VARCHAR(50);
SELECT apellido INTO apellido_ministro FROM Ministro WHERE nombre = nombre_ AND apellido = apellido_;
IF(apellido_ministro = apellido_) THEN
SET mensaje = nombre_;
ELSE
SET mensaje = NULL;
END IF;
SELECT mensaje;
END $$
DELIMITER ; | true |
0b9c69285449bc0b3213552210638bf255de0e1a | SQL | jstiago/sql | /tools/copy_grants.sql | UTF-8 | 522 | 3.078125 | 3 | [] | no_license | BEGIN
FOR rec IN (SELECT grantee, table_name, PRIVILEGE
FROM dba_tab_privs@tdblnd20
WHERE grantee IN ('TDB_UPDATE_ROLE', 'TDB_QUERY_ROLE'))
LOOP
BEGIN
EXECUTE IMMEDIATE 'GRANT '
|| rec.PRIVILEGE
|| ' ON '
|| rec.table_name
|| ' TO '
|| rec.grantee;
EXCEPTION
WHEN OTHERS
THEN
NULL;
END;
END LOOP;
END;
/
| true |
6542446c620ab0a976fae287fa5aee93d5387720 | SQL | timowlmtn/bigdataplatforms | /src/security/views/admin/create_view_SNOWFLAKE_USER_AUTHORIZATION_VIEW.sql | UTF-8 | 1,172 | 2.890625 | 3 | [
"CC-BY-3.0"
] | permissive | create or replace view ADMIN.SNOWFLAKE_USER_AUTHORIZATION_VIEW as
select su.name user_name,
srg.ROLE,
srg.PRIVILEGE,
srg.GRANTED_ON,
srg.name,
case when PRIVILEGE = 'OWNERSHIP' then 1 else 0 end OWNERSHIP_PRIVILEDGE,
case when PRIVILEGE like 'CREATE%' then 1 else 0 end CREATE_PRIVILEDGE,
case when PRIVILEGE like 'MODIFY%' then 1 else 0 end MODIFY_PRIVILEDGE,
case when PRIVILEGE like 'APPLY%' then 1 else 0 end APPLY_PRIVILEDGE,
case when PRIVILEGE like 'EXECUTE%' then 1 else 0 end EXECUTE_PRIVILEDGE,
case when PRIVILEGE like 'OPERATE%' then 1 else 0 end OPERATE_PRIVILEDGE,
case when PRIVILEGE like 'PURCHASE%' then 1 else 0 end PURCHASE_PRIVILEDGE,
case when PRIVILEGE like 'MONITOR%' then 1 else 0 end MONITOR_PRIVILEDGE
from ADMIN.SNOWFLAKE_ROLE_GRANT srg
inner join admin.SNOWFLAKE_USER_GRANT sug on srg.role = sug.ROLE
INNER JOIN ADMIN.SNOWFLAKE_USER su ON SUG.grantee_name = su.name
select * from ADMIN.SNOWFLAKE_USER_AUTHORIZATION; | true |
3dfef3c8af83d76d6e176b7a2dc771ebd31984b7 | SQL | craig-gaskill/swkroa-service | /database/migration/v1/V20160908112300__Create-Role.sql | UTF-8 | 516 | 2.59375 | 3 | [] | no_license | CREATE TABLE role (
role_id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,
role_name VARCHAR(50) NOT NULL,
role_key VARCHAR(25) NOT NULL,
active_ind BOOLEAN DEFAULT 1 NOT NULL,
create_dt_tm DATETIME NOT NULL,
create_id BIGINT NOT NULL,
updt_dt_tm DATETIME NOT NULL,
updt_id BIGINT NOT NULL,
updt_cnt INT DEFAULT 0 NOT NULL,
CONSTRAINT role_pk PRIMARY KEY (role_id)
) ENGINE = InnoDB;
| true |
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