├── 6. Scientists
    ├── README.md
    ├── Scientists.sql
    ├── AssignedTo.sql
    └── Projects.sql
├── 7. Planet Express
    ├── README.md
    ├── Client.sql
    ├── Planet.sql
    ├── Has_Clearance.sql
    ├── Shipment.sql
    ├── Employee.sql
    └── Package.sql
├── 5. Pieces and providers
    ├── Pieces.sql
    ├── Providers.sql
    ├── Provides.sql
    └── README.md
├── 3. The warehouse
    ├── Warehouses.sql
    ├── Boxes.sql
    └── README.md
├── 2. Employee management
    ├── Departments.sql
    ├── Employees.sql
    └── README.md
├── 4. Movie theatres
    ├── MovieTheaters.sql
    ├── Movies.sql
    └── README.md
├── README.md
├── 1. The computer store
    ├── build_schema.sql
    └── README.md
└── 8. The Hospital
    ├── README.md
    └── build_schema.sql


/6. Scientists/README.md:
--------------------------------------------------------------------------------
 1 | <img src="https://upload.wikimedia.org/wikipedia/commons/b/bb/Scientists-schema.png" alt="Employees" width="50%" class="center"/>
 2 | 
 3 | 1. List all the scientists' names, their projects' names, and the hours worked by that scientist on each project, in alphabetical order of project name, then scientist name.
 4 | 
 5 | ```sql
 6 | SELECT S.Name AS ScientistName, P.Name AS ProjectName, P.Hours AS Hours
 7 |   FROM AssignTo AS AT
 8 |     INNER JOIN Scientists AS S ON S.SSN = AT.Scientist
 9 |     INNER JOIN Projects AS P ON P.Code = AT.Project 
10 |   ORDER BY P.Name ASC, S.Name ASC
11 | ;
12 | ```
13 | 


--------------------------------------------------------------------------------
/7. Planet Express/README.md:
--------------------------------------------------------------------------------
 1 | <img src="https://upload.wikimedia.org/wikipedia/commons/c/c0/Planet-express-db.png" alt="Employees" width="80%"/>
 2 | 
 3 | The first several exercises build on each other and illustrate the use of subqueries.
 4 | 
 5 | 1. Who received a 1.5kg package? *(Here I assume that `Weight` is measured using `kg`).*
 6 | 
 7 | ```sql
 8 | SELECT C.Name
 9 |   FROM Client AS C
10 |   JOIN Package AS P
11 |     ON C.AccountNumber = P.Recipient 
12 |   WHERE P.weight = 1.5
13 | ;
14 | ```
15 | 
16 | 2. What is the total weight of all the packages that he sent?
17 | 
18 | > *What is this question asking?*
19 | 
20 | ```sql
21 | 
22 | ```
23 | 
24 | 3. Which pilots transported those packages?
25 | 
26 | > *Also this one...*
27 | 
28 | ```sql
29 | 
30 | ```
31 | 


--------------------------------------------------------------------------------
/5. Pieces and providers/Pieces.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:36:27 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Pieces`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Pieces`;
24 | CREATE TABLE `Pieces` (
25 |   `Code` int(11) NOT NULL,
26 |   `Name` text NOT NULL,
27 |   PRIMARY KEY (`Code`)
28 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
29 | 
30 | -- ----------------------------
31 | --  Records of `Pieces`
32 | -- ----------------------------
33 | BEGIN;
34 | INSERT INTO `Pieces` VALUES ('1', 'Sprocket'), ('2', 'Screw'), ('3', 'Nut'), ('4', 'Bolt');
35 | COMMIT;
36 | 
37 | SET FOREIGN_KEY_CHECKS = 1;
38 | 


--------------------------------------------------------------------------------
/5. Pieces and providers/Providers.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:36:33 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Providers`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Providers`;
24 | CREATE TABLE `Providers` (
25 |   `Code` varchar(40) NOT NULL,
26 |   `Name` text NOT NULL,
27 |   PRIMARY KEY (`Code`)
28 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
29 | 
30 | -- ----------------------------
31 | --  Records of `Providers`
32 | -- ----------------------------
33 | BEGIN;
34 | INSERT INTO `Providers` VALUES ('HAL', 'Clarke Enterprises'), ('RBT', 'Susan Calvin Corp.'), ('TNBC', 'Skellington Supplies');
35 | COMMIT;
36 | 
37 | SET FOREIGN_KEY_CHECKS = 1;
38 | 


--------------------------------------------------------------------------------
/3. The warehouse/Warehouses.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:31:51 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Warehouses`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Warehouses`;
24 | CREATE TABLE `Warehouses` (
25 |   `Code` int(11) NOT NULL,
26 |   `Location` varchar(255) NOT NULL,
27 |   `Capacity` int(11) NOT NULL,
28 |   PRIMARY KEY (`Code`)
29 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
30 | 
31 | -- ----------------------------
32 | --  Records of `Warehouses`
33 | -- ----------------------------
34 | BEGIN;
35 | INSERT INTO `Warehouses` VALUES ('1', 'Chicago', '3'), ('2', 'Chicago', '4'), ('3', 'New York', '7'), ('4', 'Los Angeles', '2'), ('5', 'San Francisco', '8');
36 | COMMIT;
37 | 
38 | SET FOREIGN_KEY_CHECKS = 1;
39 | 


--------------------------------------------------------------------------------
/2. Employee management/Departments.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 05/22/2019 15:27:57 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Departments`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Departments`;
24 | CREATE TABLE `Departments` (
25 |   `Code` int(11) NOT NULL,
26 |   `Name` varchar(255) NOT NULL,
27 |   `Budget` decimal(10,0) NOT NULL,
28 |   PRIMARY KEY (`Code`)
29 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
30 | 
31 | -- ----------------------------
32 | --  Records of `Departments`
33 | -- ----------------------------
34 | BEGIN;
35 | INSERT INTO `Departments` VALUES ('14', 'IT', '65000'), ('37', 'Accounting', '15000'), ('59', 'Human Resources', '240000'), ('77', 'Research', '55000');
36 | COMMIT;
37 | 
38 | SET FOREIGN_KEY_CHECKS = 1;
39 | 


--------------------------------------------------------------------------------
/7. Planet Express/Client.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:41:23 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Client`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Client`;
24 | CREATE TABLE `Client` (
25 |   `AccountNumber` int(11) NOT NULL,
26 |   `Name` varchar(255) NOT NULL,
27 |   PRIMARY KEY (`AccountNumber`)
28 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
29 | 
30 | -- ----------------------------
31 | --  Records of `Client`
32 | -- ----------------------------
33 | BEGIN;
34 | INSERT INTO `Client` VALUES ('1', 'Zapp Brannigan'), ('2', 'Al Gore\'s Head'), ('3', 'Barbados Slim'), ('4', 'Ogden Wernstrom'), ('5', 'Leo Wong'), ('6', 'Lrrr'), ('7', 'John Zoidberg'), ('8', 'John Zoidfarb'), ('9', 'Morbo'), ('10', 'Judge John Whitey'), ('11', 'Calculon');
35 | COMMIT;
36 | 
37 | SET FOREIGN_KEY_CHECKS = 1;
38 | 


--------------------------------------------------------------------------------
/4. Movie theatres/MovieTheaters.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:33:48 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `MovieTheaters`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `MovieTheaters`;
24 | CREATE TABLE `MovieTheaters` (
25 |   `Code` int(11) NOT NULL,
26 |   `Name` varchar(255) NOT NULL,
27 |   `Movie` int(11) DEFAULT NULL,
28 |   PRIMARY KEY (`Code`),
29 |   KEY `Movie` (`Movie`),
30 |   CONSTRAINT `movietheaters_ibfk_1` FOREIGN KEY (`Movie`) REFERENCES `Movies` (`Code`)
31 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
32 | 
33 | -- ----------------------------
34 | --  Records of `MovieTheaters`
35 | -- ----------------------------
36 | BEGIN;
37 | INSERT INTO `MovieTheaters` VALUES ('1', 'Odeon', '5'), ('2', 'Imperial', '1'), ('3', 'Majestic', null), ('4', 'Royale', '6'), ('5', 'Paraiso', '3'), ('6', 'Nickelodeon', null);
38 | COMMIT;
39 | 
40 | SET FOREIGN_KEY_CHECKS = 1;
41 | 


--------------------------------------------------------------------------------
/4. Movie theatres/Movies.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:33:54 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Movies`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Movies`;
24 | CREATE TABLE `Movies` (
25 |   `Code` int(11) NOT NULL,
26 |   `Title` varchar(255) NOT NULL,
27 |   `Rating` varchar(255) DEFAULT NULL,
28 |   PRIMARY KEY (`Code`)
29 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
30 | 
31 | -- ----------------------------
32 | --  Records of `Movies`
33 | -- ----------------------------
34 | BEGIN;
35 | INSERT INTO `Movies` VALUES ('1', 'Citizen Kane', 'PG'), ('2', 'Singin\' in the Rain', 'G'), ('3', 'The Wizard of Oz', 'G'), ('4', 'The Quiet Man', null), ('5', 'North by Northwest', null), ('6', 'The Last Tango in Paris', 'NC-17'), ('7', 'Some Like it Hot', 'PG-13'), ('8', 'A Night at the Opera', null), ('9', 'Citizen King', 'G');
36 | COMMIT;
37 | 
38 | SET FOREIGN_KEY_CHECKS = 1;
39 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # SQL-Exercises
 2 | 
 3 | > *The purpose of any exercise is to steadily develop skills and to acquire the automatic algorithms for fulfilling certain operations. As for the SQL language, practical exercises are intended to enable the database programmer to quickly devise SQL queries in order to solve practically any problem, by having already studied similar problems in exercises. This book provides such a collection of practical solved SQL exercises.*  ---- *From Wiki Book SQL-Exercises*
 4 | 
 5 | ## Exercises
 6 | 
 7 | - [x] [The computer store](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/1.%20The%20computer%20store)
 8 | - [x] [Employee management](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/2.%20Employee%20management)
 9 | - [x] [The warehouse](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/3.%20The%20warehouse)
10 | - [x] [Movie theatres](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/4.%20Movie%20theatres)
11 | - [x] [Pieces and providers](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/5.%20Pieces%20and%20providers)
12 | - [x] [Scientists](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/6.%20Scientists)
13 | - [x] [Planet Express](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/7.%20Planet%20Express)
14 | - [x] [The Hospital](https://github.com/Zhenye-Na/SQL-Exercises/tree/master/8.%20The%20Hospital)


--------------------------------------------------------------------------------
/6. Scientists/Scientists.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:38:03 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Scientists`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Scientists`;
24 | CREATE TABLE `Scientists` (
25 |   `SSN` int(11) NOT NULL,
26 |   `Name` char(30) NOT NULL,
27 |   PRIMARY KEY (`SSN`)
28 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
29 | 
30 | -- ----------------------------
31 | --  Records of `Scientists`
32 | -- ----------------------------
33 | BEGIN;
34 | INSERT INTO `Scientists` VALUES ('123234877', 'Michael Rogers'), ('152934485', 'Anand Manikutty'), ('222364883', 'Carol Smith'), ('326587417', 'Joe Stevens'), ('332154719', 'Mary-Anne Foster'), ('332569843', 'George ODonnell'), ('546523478', 'John Doe'), ('631231482', 'David Smith'), ('654873219', 'Zacary Efron'), ('745685214', 'Eric Goldsmith'), ('845657245', 'Elizabeth Doe'), ('845657246', 'Kumar Swamy');
35 | COMMIT;
36 | 
37 | SET FOREIGN_KEY_CHECKS = 1;
38 | 


--------------------------------------------------------------------------------
/7. Planet Express/Planet.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:40:58 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Planet`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Planet`;
24 | CREATE TABLE `Planet` (
25 |   `PlanetID` int(11) NOT NULL,
26 |   `Name` varchar(255) NOT NULL,
27 |   `Coordinates` double NOT NULL,
28 |   PRIMARY KEY (`PlanetID`)
29 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
30 | 
31 | -- ----------------------------
32 | --  Records of `Planet`
33 | -- ----------------------------
34 | BEGIN;
35 | INSERT INTO `Planet` VALUES ('1', 'Omicron Persei 8', '89475345.3545'), ('2', 'Decapod X', '65498463216.3466'), ('3', 'Mars', '32435021.65468'), ('4', 'Omega III', '98432121.5464'), ('5', 'Tarantulon VI', '849842198.354654'), ('6', 'Cannibalon', '654321987.21654'), ('7', 'DogDoo VII', '65498721354.688'), ('8', 'Nintenduu 64', '6543219894.1654'), ('9', 'Amazonia', '65432135979.6547');
36 | COMMIT;
37 | 
38 | SET FOREIGN_KEY_CHECKS = 1;
39 | 


--------------------------------------------------------------------------------
/7. Planet Express/Has_Clearance.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:41:31 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Has_Clearance`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Has_Clearance`;
24 | CREATE TABLE `Has_Clearance` (
25 |   `Employee` int(11) NOT NULL,
26 |   `Planet` int(11) NOT NULL,
27 |   `Level` int(11) NOT NULL,
28 |   PRIMARY KEY (`Employee`,`Planet`),
29 |   KEY `Planet` (`Planet`),
30 |   CONSTRAINT `has_clearance_ibfk_1` FOREIGN KEY (`Employee`) REFERENCES `Employee` (`EmployeeID`),
31 |   CONSTRAINT `has_clearance_ibfk_2` FOREIGN KEY (`Planet`) REFERENCES `Planet` (`PlanetID`)
32 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
33 | 
34 | -- ----------------------------
35 | --  Records of `Has_Clearance`
36 | -- ----------------------------
37 | BEGIN;
38 | INSERT INTO `Has_Clearance` VALUES ('1', '1', '2'), ('1', '2', '3'), ('2', '3', '2'), ('2', '4', '4'), ('3', '5', '2'), ('3', '6', '4'), ('4', '7', '1');
39 | COMMIT;
40 | 
41 | SET FOREIGN_KEY_CHECKS = 1;
42 | 


--------------------------------------------------------------------------------
/5. Pieces and providers/Provides.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:36:39 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Provides`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Provides`;
24 | CREATE TABLE `Provides` (
25 |   `Piece` int(11) NOT NULL,
26 |   `Provider` varchar(40) NOT NULL,
27 |   `Price` int(11) NOT NULL,
28 |   PRIMARY KEY (`Piece`,`Provider`),
29 |   KEY `Provider` (`Provider`),
30 |   CONSTRAINT `provides_ibfk_1` FOREIGN KEY (`Piece`) REFERENCES `Pieces` (`Code`),
31 |   CONSTRAINT `provides_ibfk_2` FOREIGN KEY (`Provider`) REFERENCES `Providers` (`Code`)
32 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
33 | 
34 | -- ----------------------------
35 | --  Records of `Provides`
36 | -- ----------------------------
37 | BEGIN;
38 | INSERT INTO `Provides` VALUES ('1', 'HAL', '10'), ('1', 'RBT', '15'), ('2', 'HAL', '20'), ('2', 'RBT', '15'), ('2', 'TNBC', '14'), ('3', 'RBT', '50'), ('3', 'TNBC', '45'), ('4', 'HAL', '5'), ('4', 'RBT', '7');
39 | COMMIT;
40 | 
41 | SET FOREIGN_KEY_CHECKS = 1;
42 | 


--------------------------------------------------------------------------------
/7. Planet Express/Shipment.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:41:04 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Shipment`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Shipment`;
24 | CREATE TABLE `Shipment` (
25 |   `ShipmentID` int(11) NOT NULL,
26 |   `Date` date DEFAULT NULL,
27 |   `Manager` int(11) NOT NULL,
28 |   `Planet` int(11) NOT NULL,
29 |   PRIMARY KEY (`ShipmentID`),
30 |   KEY `Manager` (`Manager`),
31 |   KEY `Planet` (`Planet`),
32 |   CONSTRAINT `shipment_ibfk_1` FOREIGN KEY (`Manager`) REFERENCES `Employee` (`EmployeeID`),
33 |   CONSTRAINT `shipment_ibfk_2` FOREIGN KEY (`Planet`) REFERENCES `Planet` (`PlanetID`)
34 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
35 | 
36 | -- ----------------------------
37 | --  Records of `Shipment`
38 | -- ----------------------------
39 | BEGIN;
40 | INSERT INTO `Shipment` VALUES ('1', '3004-05-11', '1', '1'), ('2', '3004-05-11', '1', '2'), ('3', null, '2', '3'), ('4', null, '2', '4'), ('5', null, '7', '5');
41 | COMMIT;
42 | 
43 | SET FOREIGN_KEY_CHECKS = 1;
44 | 


--------------------------------------------------------------------------------
/6. Scientists/AssignedTo.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:37:57 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `AssignedTo`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `AssignedTo`;
24 | CREATE TABLE `AssignedTo` (
25 |   `Scientist` int(11) NOT NULL,
26 |   `Project` char(4) NOT NULL,
27 |   PRIMARY KEY (`Scientist`,`Project`),
28 |   KEY `Project` (`Project`),
29 |   CONSTRAINT `assignedto_ibfk_1` FOREIGN KEY (`Scientist`) REFERENCES `Scientists` (`SSN`),
30 |   CONSTRAINT `assignedto_ibfk_2` FOREIGN KEY (`Project`) REFERENCES `Projects` (`Code`)
31 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
32 | 
33 | -- ----------------------------
34 | --  Records of `AssignedTo`
35 | -- ----------------------------
36 | BEGIN;
37 | INSERT INTO `AssignedTo` VALUES ('123234877', 'AeH1'), ('152934485', 'AeH3'), ('745685214', 'AeH3'), ('332569843', 'AeH4'), ('845657245', 'Ast1'), ('845657246', 'Ast2'), ('222364883', 'Ast3'), ('326587417', 'Ast3'), ('631231482', 'Ast3'), ('332154719', 'Bte1'), ('546523478', 'Che1'), ('654873219', 'Che1');
38 | COMMIT;
39 | 
40 | SET FOREIGN_KEY_CHECKS = 1;
41 | 


--------------------------------------------------------------------------------
/3. The warehouse/Boxes.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:31:46 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Boxes`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Boxes`;
24 | CREATE TABLE `Boxes` (
25 |   `Code` varchar(255) NOT NULL,
26 |   `Contents` varchar(255) NOT NULL,
27 |   `Value` double NOT NULL,
28 |   `Warehouse` int(11) NOT NULL,
29 |   PRIMARY KEY (`Code`),
30 |   KEY `Warehouse` (`Warehouse`),
31 |   CONSTRAINT `boxes_ibfk_1` FOREIGN KEY (`Warehouse`) REFERENCES `Warehouses` (`Code`)
32 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
33 | 
34 | -- ----------------------------
35 | --  Records of `Boxes`
36 | -- ----------------------------
37 | BEGIN;
38 | INSERT INTO `Boxes` VALUES ('0MN7', 'Rocks', '180', '3'), ('4H8P', 'Rocks', '250', '1'), ('4RT3', 'Scissors', '190', '4'), ('7G3H', 'Rocks', '200', '1'), ('8JN6', 'Papers', '75', '1'), ('8Y6U', 'Papers', '50', '3'), ('9J6F', 'Papers', '175', '2'), ('LL08', 'Rocks', '140', '4'), ('P0H6', 'Scissors', '125', '1'), ('P2T6', 'Scissors', '150', '2'), ('TU55', 'Papers', '90', '5');
39 | COMMIT;
40 | 
41 | SET FOREIGN_KEY_CHECKS = 1;
42 | 


--------------------------------------------------------------------------------
/7. Planet Express/Employee.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:40:48 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Employee`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Employee`;
24 | CREATE TABLE `Employee` (
25 |   `EmployeeID` int(11) NOT NULL,
26 |   `Name` varchar(255) NOT NULL,
27 |   `Position` varchar(255) NOT NULL,
28 |   `Salary` double NOT NULL,
29 |   `Remarks` varchar(255) DEFAULT NULL,
30 |   PRIMARY KEY (`EmployeeID`)
31 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
32 | 
33 | -- ----------------------------
34 | --  Records of `Employee`
35 | -- ----------------------------
36 | BEGIN;
37 | INSERT INTO `Employee` VALUES ('1', 'Phillip J. Fry', 'Delivery boy', '7500', 'Not to be confused with the Philip J. Fry from Hovering Squid World 97a'), ('2', 'Turanga Leela', 'Captain', '10000', null), ('3', 'Bender Bending Rodriguez', 'Robot', '7500', null), ('4', 'Hubert J. Farnsworth', 'CEO', '20000', null), ('5', 'John A. Zoidberg', 'Physician', '25', null), ('6', 'Amy Wong', 'Intern', '5000', null), ('7', 'Hermes Conrad', 'Bureaucrat', '10000', null), ('8', 'Scruffy Scruffington', 'Janitor', '5000', null);
38 | COMMIT;
39 | 
40 | SET FOREIGN_KEY_CHECKS = 1;
41 | 


--------------------------------------------------------------------------------
/6. Scientists/Projects.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:38:19 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Projects`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Projects`;
24 | CREATE TABLE `Projects` (
25 |   `Code` char(4) NOT NULL,
26 |   `Name` char(50) NOT NULL,
27 |   `Hours` int(11) DEFAULT NULL,
28 |   PRIMARY KEY (`Code`)
29 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
30 | 
31 | -- ----------------------------
32 | --  Records of `Projects`
33 | -- ----------------------------
34 | BEGIN;
35 | INSERT INTO `Projects` VALUES ('AeH1', 'Winds: Studying Bernoullis Principle', '156'), ('AeH2', 'Aerodynamics and Bridge Design', '189'), ('AeH3', 'Aerodynamics and Gas Mileage', '256'), ('AeH4', 'Aerodynamics and Ice Hockey', '789'), ('AeH5', 'Aerodynamics of a Football', '98'), ('AeH6', 'Aerodynamics of Air Hockey', '89'), ('Ast1', 'A Matter of Time', '112'), ('Ast2', 'A Puzzling Parallax', '299'), ('Ast3', 'Build Your Own Telescope', '6546'), ('Bte1', 'Juicy: Extracting Apple Juice with Pectinase', '321'), ('Bte2', 'A Magnetic Primer Designer', '9684'), ('Bte3', 'Bacterial Transformation Efficiency', '321'), ('Che1', 'A Silver-Cleaning Battery', '545'), ('Che2', 'A Soluble Separation Solution', '778');
36 | COMMIT;
37 | 
38 | SET FOREIGN_KEY_CHECKS = 1;
39 | 


--------------------------------------------------------------------------------
/2. Employee management/Employees.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 05/22/2019 15:28:03 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Employees`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Employees`;
24 | CREATE TABLE `Employees` (
25 |   `SSN` int(11) NOT NULL,
26 |   `Name` varchar(255) NOT NULL,
27 |   `LastName` varchar(255) NOT NULL,
28 |   `Department` int(11) NOT NULL,
29 |   PRIMARY KEY (`SSN`),
30 |   KEY `Department` (`Department`),
31 |   CONSTRAINT `employees_ibfk_1` FOREIGN KEY (`Department`) REFERENCES `Departments` (`Code`)
32 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
33 | 
34 | -- ----------------------------
35 | --  Records of `Employees`
36 | -- ----------------------------
37 | BEGIN;
38 | INSERT INTO `Employees` VALUES ('123234877', 'Michael', 'Rogers', '14'), ('152934485', 'Anand', 'Manikutty', '14'), ('222364883', 'Carol', 'Smith', '37'), ('326587417', 'Joe', 'Stevens', '37'), ('332154719', 'Mary-Anne', 'Foster', '14'), ('332569843', 'George', 'O\'Donnell', '77'), ('546523478', 'John', 'Doe', '59'), ('631231482', 'David', 'Smith', '77'), ('654873219', 'Zacary', 'Efron', '59'), ('745685214', 'Eric', 'Goldsmith', '59'), ('845657245', 'Elizabeth', 'Doe', '14'), ('845657246', 'Kumar', 'Swamy', '14');
39 | COMMIT;
40 | 
41 | SET FOREIGN_KEY_CHECKS = 1;
42 | 


--------------------------------------------------------------------------------
/1. The computer store/build_schema.sql:
--------------------------------------------------------------------------------
 1 | # Table creation
 2 | CREATE TABLE Manufacturers (
 3 |   Code INTEGER,
 4 |   Name VARCHAR(255) NOT NULL,
 5 |   PRIMARY KEY (Code)
 6 | );
 7 | 
 8 | CREATE TABLE Products (
 9 |   Code INTEGER,
10 |   Name VARCHAR(255) NOT NULL,
11 |   Price DECIMAL NOT NULL,
12 |   Manufacturer INTEGER NOT NULL,
13 |   PRIMARY KEY (Code),
14 |   FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
15 | ) ENGINE=INNODB;
16 | 
17 | 
18 | # Sample dataset
19 | INSERT INTO Manufacturers(Code, Name) VALUES(1,'Sony');
20 | INSERT INTO Manufacturers(Code, Name) VALUES(2,'Creative Labs');
21 | INSERT INTO Manufacturers(Code, Name) VALUES(3,'Hewlett-Packard');
22 | INSERT INTO Manufacturers(Code, Name) VALUES(4,'Iomega');
23 | INSERT INTO Manufacturers(Code, Name) VALUES(5,'Fujitsu');
24 | INSERT INTO Manufacturers(Code, Name) VALUES(6,'Winchester');
25 | 
26 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(1, 'Hard drive', 240, 5);
27 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(2, 'Memory', 120, 6);
28 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(3, 'ZIP drive', 150, 4);
29 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(4, 'Floppy disk', 5, 6);
30 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(5, 'Monitor', 240, 1);
31 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(6, 'DVD drive', 180, 2);
32 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(7, 'CD drive', 90, 2);
33 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(8, 'Printer', 270, 3);
34 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(9, 'Toner cartridge', 66, 3);
35 | INSERT INTO Products(Code, Name, Price, Manufacturer) VALUES(10, 'DVD burner', 180, 2);
36 | 


--------------------------------------------------------------------------------
/7. Planet Express/Package.sql:
--------------------------------------------------------------------------------
 1 | /*
 2 |  Navicat Premium Data Transfer
 3 | 
 4 |  Source Server         : localhost
 5 |  Source Server Type    : MySQL
 6 |  Source Server Version : 50716
 7 |  Source Host           : localhost
 8 |  Source Database       : sql-problems
 9 | 
10 |  Target Server Type    : MySQL
11 |  Target Server Version : 50716
12 |  File Encoding         : utf-8
13 | 
14 |  Date: 07/01/2019 21:41:45 PM
15 | */
16 | 
17 | SET NAMES utf8mb4;
18 | SET FOREIGN_KEY_CHECKS = 0;
19 | 
20 | -- ----------------------------
21 | --  Table structure for `Package`
22 | -- ----------------------------
23 | DROP TABLE IF EXISTS `Package`;
24 | CREATE TABLE `Package` (
25 |   `Shipment` int(11) NOT NULL,
26 |   `PackageNumber` int(11) NOT NULL,
27 |   `Contents` varchar(255) NOT NULL,
28 |   `Weight` double NOT NULL,
29 |   `Sender` int(11) NOT NULL,
30 |   `Recipient` int(11) NOT NULL,
31 |   PRIMARY KEY (`Shipment`,`PackageNumber`),
32 |   KEY `Sender` (`Sender`),
33 |   KEY `Recipient` (`Recipient`),
34 |   CONSTRAINT `package_ibfk_1` FOREIGN KEY (`Shipment`) REFERENCES `Shipment` (`ShipmentID`),
35 |   CONSTRAINT `package_ibfk_2` FOREIGN KEY (`Sender`) REFERENCES `Client` (`AccountNumber`),
36 |   CONSTRAINT `package_ibfk_3` FOREIGN KEY (`Recipient`) REFERENCES `Client` (`AccountNumber`)
37 | ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
38 | 
39 | -- ----------------------------
40 | --  Records of `Package`
41 | -- ----------------------------
42 | BEGIN;
43 | INSERT INTO `Package` VALUES ('1', '1', 'Undeclared', '1.5', '1', '2'), ('2', '1', 'Undeclared', '10', '2', '3'), ('2', '2', 'A bucket of krill', '2', '8', '7'), ('3', '1', 'Undeclared', '15', '3', '4'), ('3', '2', 'Undeclared', '3', '5', '1'), ('3', '3', 'Undeclared', '7', '2', '3'), ('4', '1', 'Undeclared', '5', '4', '5'), ('4', '2', 'Undeclared', '27', '1', '2'), ('5', '1', 'Undeclared', '100', '5', '1');
44 | COMMIT;
45 | 
46 | SET FOREIGN_KEY_CHECKS = 1;
47 | 


--------------------------------------------------------------------------------
/4. Movie theatres/README.md:
--------------------------------------------------------------------------------
 1 | <img src="https://upload.wikimedia.org/wikipedia/commons/f/ff/Sql_movie_theaters.png" alt="Employees" width="50%" class="center"/>
 2 | 
 3 | 1. Select the title of all movies.
 4 | 
 5 | ```sql
 6 | SELECT Title
 7 |   FROM Movies
 8 | ;
 9 | ```
10 | 
11 | 2. Show all the distinct ratings in the database.
12 | 
13 | ```sql
14 | SELECT DISTINCT Rating
15 |   FROM Movies
16 | ;
17 | ```
18 | 
19 | 3. Show all unrated movies.
20 | 
21 | ```sql
22 | SELECT *
23 |   FROM Movies
24 |   WHERE Rating IS NULL
25 | ;
26 | ```
27 | 
28 | 4. Select all movie theaters that are not currently showing a movie.
29 | 
30 | ```sql
31 | SELECT * 
32 |   FROM MovieTheaters 
33 |   WHERE Movie IS NULL
34 | ;
35 | ```
36 | 
37 | 5. Select all data from all movie theaters and, additionally, the data from the movie that is being shown in the theater (if one is being shown).
38 | 
39 | ```sql
40 | SELECT *
41 |   FROM MovieTheaters
42 |   LEFT JOIN Movies
43 |     ON MovieTheaters.Movie = Movies.Code
44 | ;
45 | ```
46 | 
47 | 6. Select all data from all movies and, if that movie is being shown in a theater, show the data from the theater.
48 | 
49 | ```sql
50 | SELECT *
51 |   FROM MovieTheaters
52 |   RIGHT JOIN Movies
53 |     ON MovieTheaters.Movie = Movies.Code
54 | ;
55 | ```
56 | 
57 | 7. Show the titles of movies not currently being shown in any theaters.
58 | 
59 | ```sql
60 | SELECT
61 |   FROM Movies AS M
62 |   WHERE M.Code NOT IN (SELECT T.Movie
63 |                        FROM MovieTheaters AS T
64 |                        WHERE T.Movie IS NOT NULL)
65 | ;
66 | ```
67 | 
68 | 8. Add the unrated movie "One, Two, Three".
69 | 
70 | ```sql
71 | INSERT INTO Movies(Title, Rating)
72 |   VALUES ('One, Two, Three', NULL)
73 | ;
74 | ```
75 | 
76 | 9. Set the rating of all unrated movies to "G".
77 | 
78 | ```sql
79 | UPDATE Movies
80 |   SET Rating = 'G'
81 |   WHERE Rating IS NULL
82 | ;
83 | ```
84 | 
85 | 10. Remove movie theaters projecting movies rated "NC-17".
86 | 
87 | ```sql
88 | DELETE FROM MovieTheaters
89 |   WHERE Movie IN (SELECT Code
90 |                     FROM Movies
91 |                     WHERE Rating = 'NC-17'
92 |                   )
93 | ;
94 | ```
95 | 


--------------------------------------------------------------------------------
/5. Pieces and providers/README.md:
--------------------------------------------------------------------------------
  1 | <img src="https://upload.wikimedia.org/wikipedia/commons/5/53/Sql_pieces_providers.png" alt="Employees" width="50%" class="center"/>
  2 | 
  3 | 
  4 | 1. Select the name of all the pieces.
  5 | 
  6 | ```sql
  7 | SELECT Name
  8 |   FROM Pieces
  9 | ;
 10 | ```
 11 | 
 12 | 2. Select all the providers' data.
 13 | 
 14 | ```sql
 15 | SELECT *
 16 |   FROM Providers
 17 | ;
 18 | ```
 19 | 
 20 | 3. Obtain the average price of each piece (show only the piece code and the average price).
 21 | 
 22 | ```sql
 23 | SELECT Pi.Code, AVG(Pr.Price)
 24 |   FROM Pieces AS Pi
 25 |     INNER JOIN Providers AS Pr
 26 |     ON Pi.Code = Pr.Piece
 27 | ;
 28 | ```
 29 | 
 30 | 4. Obtain the names of all providers who supply piece 1.
 31 | 
 32 | ```sql
 33 | SELECT *
 34 |   FROM Providers AS Prr
 35 |   INNER JOIN Provides AS Pr
 36 |     ON Prr.Code = Pr.Provider
 37 |       AND Pr.Piece = 1
 38 | ;
 39 | ```
 40 | 
 41 | 5. Select the name of pieces provided by provider with code "HAL".
 42 | 
 43 | ```sql
 44 | SELECT Pieces.Name
 45 |   FROM Pieces
 46 |   INNER JOIN Provides
 47 |   ON Pieces.Code = Provides.Piece
 48 |     AND Provides.Provider = 'HAL'
 49 | ;
 50 | ```
 51 | 
 52 | ***Optional solutions:***
 53 | 
 54 | ```sql
 55 | /* With IN subquery */
 56 | SELECT Name
 57 |   FROM Pieces
 58 |   WHERE Code IN (SELECT Piece
 59 |                  FROM Provides
 60 |                  WHERE Provider = 'HAL'
 61 |                  )
 62 | ;
 63 | 
 64 | 
 65 | /* With EXISTS subquery */
 66 | SELECT Name
 67 |   FROM Pieces
 68 |   WHERE EXISTS (SELECT *
 69 |                 FROM Provides
 70 |                 WHERE Provider = 'HAL'
 71 |                   AND Piece = Pieces.Code
 72 |                 )
 73 | ;
 74 | ```
 75 | 
 76 | 6. For each piece, find the most expensive offering of that piece and include the piece name, provider name, and price **(note that there could be two providers who *supply the same piece at the most expensive price*)**.
 77 | 
 78 | ```sql
 79 | SELECT Pieces.Name, Providers.Name, Price
 80 |   FROM Pieces INNER JOIN Provides ON Pieces.Code = Piece
 81 |               INNER JOIN Providers ON Providers.Code = Provider
 82 |   WHERE Price = (
 83 |                  SELECT MAX(Pr.Price)
 84 |                    FROM Provides AS Pr
 85 |                    WHERE Piece = Pieces.Code
 86 |                  )
 87 | ;
 88 | ```
 89 | 
 90 | 7. Add an entry to the database to indicate that "Skellington Supplies" (code "TNBC") will provide sprockets (code "1") for 7 cents each.
 91 | 
 92 | ```sql
 93 | INSERT INTO Provides 
 94 |   VALUES (1, 'TNBC', 7)
 95 | ;
 96 | ```
 97 | 
 98 | 8. Increase all prices by one cent. _(I suppose price in the table is measured using *dollar*)_
 99 | 
100 | ```sql
101 | UPDATE Provides SET Price = Price + 0.01;
102 | ```
103 | 
104 | 9. Update the database to reflect that "Susan Calvin Corp." (code "RBT") will not supply bolts (code 4).
105 | 
106 | ```sql
107 | DELETE FROM Provides
108 |   WHERE Provider = 'RBT'
109 |     AND Piece = 4
110 | ;
111 | ```
112 | 
113 | 10. Update the database to reflect that "Susan Calvin Corp." (code "RBT") will not supply any pieces (the provider should still remain in the database).
114 | 
115 | ```sql
116 | DELETE FROM Provides
117 |   WHERE Provider = 'RBT'
118 | ;
119 | ```
120 | 


--------------------------------------------------------------------------------
/3. The warehouse/README.md:
--------------------------------------------------------------------------------
  1 | <img src="https://upload.wikimedia.org/wikipedia/commons/4/47/Sql_warehouse.png" alt="Employees" width="50%" class="center"/>
  2 | 
  3 | 
  4 | 1. Select all warehouses.
  5 | 
  6 | ```sql
  7 | SELECT *
  8 |   FROM Warehouses
  9 | ;
 10 | ```
 11 | 
 12 | 2. Select all boxes with a value larger than $150.
 13 | 
 14 | ```sql
 15 | SELECT *
 16 |   FROM Boxes
 17 |   WHERE Value > 150
 18 | ;
 19 | ```
 20 | 
 21 | 3. Select all distinct contents in all the boxes.
 22 | 
 23 | ```sql
 24 | SELECT DISTINCT(Contents)
 25 |   FROM Boxes
 26 | ;
 27 | ```
 28 | 
 29 | 4. Select the average value of all the boxes.
 30 | 
 31 | ```sql
 32 | SELECT AVG(Value)
 33 |   FROM Boxes
 34 | ;
 35 | ```
 36 | 
 37 | 5. Select the warehouse code and the average value of the boxes in each warehouse.
 38 | 
 39 | ```sql
 40 | SELECT Warehouse, AVG(Value)
 41 |   FROM Boxes
 42 |   GROUP BY Warehouse
 43 | ;
 44 | ```
 45 | 
 46 | 6. Same as previous exercise, but select only those warehouses where the average value of the boxes is greater than 150.
 47 | 
 48 | ```sql
 49 | SELECT Warehouse, AVG(Value)
 50 |   FROM Boxes
 51 |   GROUP BY Warehouse
 52 |   HAVING AVG(Value) > 150
 53 | ;
 54 | ```
 55 | 
 56 | 7. Select the code of each box, along with the name of the city the box is located in.
 57 | 
 58 | ```sql
 59 | SELECT W.Code, W.Location
 60 |   FROM Warehouses AS W
 61 |   INNER JOIN Boxes AS B
 62 |     ON W.Code = B.Warehouse
 63 | ;
 64 | ```
 65 | 
 66 | 8. Select the warehouse codes, along with the number of boxes in each warehouse. Optionally, take into account that some warehouses are empty (i.e., the box count should show up as zero, instead of omitting the warehouse from the result).
 67 | 
 68 | ```sql
 69 | SELECT W.Code, COUNT(B.Code)
 70 |   FROM Warehouses AS W
 71 |   LEFT JOIN Boxes AS B
 72 |     ON W.Code = B.Warehouse
 73 |   GROUP BY B.Code
 74 | ;
 75 | ```
 76 | 
 77 | 9. Select the codes of all warehouses that are saturated (a warehouse is saturated if the number of boxes in it is larger than the warehouse's capacity).
 78 | 
 79 | ```sql
 80 | SELECT W.Code
 81 |   FROM Warehouses AS W
 82 |   INNER JOIN Boxes AS B
 83 |     ON W.Code = B.Warehouse
 84 |   GROUP BY W.Code
 85 |   WHERE COUNT(B.Code) > W.Capacity
 86 | ;
 87 | ```
 88 | 
 89 | 10. Select the codes of all the boxes located in Chicago.
 90 | 
 91 | ```sql
 92 | SELECT B.Code
 93 |   FROM Boxes AS B
 94 |   INNER JOIN Warehouses AS W
 95 |     ON W.Code = B.Warehouse
 96 |   WHERE W.Location = 'Chicago'
 97 | ;
 98 | ```
 99 | 
100 | 11. Create a new warehouse in New York with a capacity for 3 boxes.
101 | 
102 | ```sql
103 | INSERT INTO Warehouses(Location, Capacity)
104 |   VALUES ('New York', 3)
105 | ;
106 | ```
107 | 
108 | 12. Create a new box, with code "H5RT", containing "Papers" with a value of $200, and located in warehouse 2.
109 | 
110 | ```sql
111 | INSERT INTO Boxes(Code, Contents, Value, Warehouse)
112 |   VALUES ('H5RT', 'Papers', 200, 2)
113 | ;
114 | ```
115 | 
116 | 13. Reduce the value of all boxes by 15%.
117 | 
118 | ```sql
119 | UPDATE Boxes
120 |   SET Value = Value * 0.85
121 | ;
122 | ```
123 | 
124 | 14. Apply a 20% value reduction to boxes with a value larger than the average value of all the boxes.
125 | 
126 | > Attention: this solution doesn't work with MySQL 5.0.67: ERROR 1093 (HY000): You can't specify target table 'Boxes' for update in FROM clause
127 | 
128 | ```sql
129 | UPDATE Boxes
130 |   SET Value = Value * 0.8
131 |   WHERE Value > (SELECT AVG(Value)
132 |                    FROM Boxes
133 |                  )
134 | ;
135 | ```
136 | 
137 | 15. Remove all boxes with a value lower than $100.
138 | 
139 | ```sql
140 | DELETE FROM Boxes
141 |   WHERE Value < 100
142 | ;
143 | ```
144 | 
145 | 16. Remove all boxes from saturated warehouses.
146 | 
147 | > Attention: this solution doesn't work with MySQL 5.0.67: ERROR 1093 (HY000): You can't specify target table 'Boxes' for update in FROM clause
148 | 
149 | ```sql
150 | DELTE FROM Boxes
151 | WHERE Warehouse IN (
152 |                     SELECT Code
153 |                     FROM Warehouses AS W
154 |                     WHERE Capacity < (SELECT COUNT(B.Code)
155 |                                       FROM Boxes AS B
156 |                                       WHERE B.Warehouse = W.Code
157 |                                       )
158 |                     )
159 | ;
160 | ```
161 | 


--------------------------------------------------------------------------------
/2. Employee management/README.md:
--------------------------------------------------------------------------------
  1 | <img src="https://upload.wikimedia.org/wikipedia/commons/3/36/Employees.png" alt="Employees" width="50%" class="center"/>
  2 | 
  3 | 1. Select the last name of all employees.
  4 | 
  5 | ```sql
  6 | SELECT LastName
  7 |   FROM Employees
  8 | ;
  9 | ```
 10 | 
 11 | 2. Select the last name of all employees, without duplicates.
 12 | 
 13 | ```sql
 14 | SELECT DISTINCT LastName
 15 |   FROM Employees
 16 | ;
 17 | ```
 18 | 
 19 | 3. Select all the data of employees whose last name is "Smith".
 20 | 
 21 | ```sql
 22 | SELECT *
 23 |   FROM Employees
 24 |   WHERE LastName = 'Smith'
 25 | ;
 26 | ```
 27 | 
 28 | 4. Select all the data of employees whose last name is "Smith" or "Doe".
 29 | 
 30 | ```sql
 31 | SELECT *
 32 |   FROM Employees
 33 |   WHERE LastName = 'Smith'
 34 |     OR LastName = 'Doe'
 35 | ;
 36 | ```
 37 | 
 38 | ```sql
 39 | /* With IN */
 40 | SELECT *
 41 |   FROM Employees
 42 |   WHERE LastName IN ('Smith', 'Doe')
 43 | ;
 44 | ```
 45 | 
 46 | 5. Select all the data of employees that work in department 14.
 47 | 
 48 | ```sql
 49 | SELECT *
 50 |   FROM Employees
 51 |   WHERE Department = 14
 52 | ;
 53 | ```
 54 | 
 55 | 6. Select all the data of employees that work in department 37 or department 77.
 56 | 
 57 | ```sql
 58 | SELECT *
 59 |   FROM Employees
 60 |   WHERE Department = 14
 61 |     OR Department = 77
 62 | ;
 63 | ```
 64 | 
 65 | 7. Select all the data of employees whose last name begins with an "S".
 66 | 
 67 | ```sql
 68 | SELECT *
 69 |   FROM Employees
 70 |   WHERE LastName LIKE 'S%'
 71 | ;
 72 | ```
 73 | 
 74 | 8. Select the sum of all the departments' budgets.
 75 | 
 76 | ```sql
 77 | SELECT SUM(Budget)
 78 |   FROM Departments
 79 | ;
 80 | ```
 81 | 
 82 | 9. Select the number of employees in each department (you only need to show the department code and the number of employees).
 83 | 
 84 | ```sql
 85 | SELECT D.Code, COUNT(*)
 86 |   FROM Employees AS E, Departments AS D
 87 |   GROUP BY D.Code
 88 | ;
 89 | ```
 90 | 
 91 | 10. Select all the data of employees, including each employee's department's data.
 92 | 
 93 | ```sql
 94 | SELECT *
 95 | FROM Employees AS E
 96 |   INNER JOIN Departments AS D
 97 |     ON D.Code = E.Department
 98 | ;
 99 | ```
100 | 
101 | 11. Select the name and last name of each employee, along with the name and budget of the employee's department.
102 | 
103 | ```sql
104 | SELECT E.Name, E.LastName, D.Name, D.Budget
105 |   FROM Employees AS E
106 |   INNER JOIN Departments AS D
107 |     ON E.Department = D.Code
108 | ;
109 | ```
110 | 
111 | 12. Select the name and last name of employees working for departments with a budget greater than $60,000.
112 | 
113 | ```sql
114 | SELECT E.Name, E.LastName
115 |   FROM Employees AS E
116 |   INNER JOIN Departments AS D
117 |     ON E.Department = D.Code
118 |       AND D.Budget > 60000
119 | ;
120 | ```
121 | 
122 | 13. Select the departments with a budget larger than the average budget of all the departments.
123 | 
124 | ```sql
125 | SELECT *
126 |   FROM Departments
127 |   WHERE Budget > (SELECT AVG(D.Budget)
128 |                     FROM Departments AS D
129 |                   )
130 | ;
131 | ```
132 | 
133 | 14. Select the names of departments with more than two employees.
134 | 
135 | ```sql
136 | SELECT D.Name
137 |   FROM Departments AS D
138 |   INNER JOIN Employees AS E
139 |     ON E.Department = D.Code
140 |   GROUP BY D.Code
141 |   HAVING COUNT(E.SSN) > 2
142 | ;
143 | ```
144 | 
145 | 15. Select the name and last name of employees working for departments with second lowest budget.
146 | 
147 | ```sql
148 | SELECT E.Name, E.LastName
149 |   FROM Departments AS D
150 |   INNER JOIN Employees AS E
151 |     ON E.Department = D.Code
152 |   ORDER BY D.Budget
153 |   LIMIT 1 OFFSET 1
154 | ;
155 | ```
156 | 
157 | 16. Add a new department called "Quality Assurance", with a budget of $40,000 and departmental code 11. Add an employee called "Mary Moore" in that department, with SSN 847-21-9811.
158 | 
159 | ```sql
160 | INSERT INTO Departments(Name, Budge, Code)
161 |   VALUES ('Quality Assurance', 40000, 11)
162 | ;
163 | 
164 | INSERT INTO Employees(SSN, Name, LastName, Department)
165 |   VALUES ('847219811', 'Mary Moore', 'Moore', 11)
166 | ;
167 | ```
168 | 
169 | > Whether adding quotes to integers in SQL Query, please refer to this [question](https://stackoverflow.com/questions/6781976/mysql-quote-numbers-or-not) in Stack Overflow.
170 | 
171 | 17. Reduce the budget of all departments by 10%.
172 | 
173 | ```sql
174 | UPDATE Departments
175 |   SET Budget = Budget * 0.9
176 | ;
177 | ```
178 | 
179 | 18. Reassign all employees from the Research department (code 77) to the IT department (code 14).
180 | 
181 | ```sql
182 | UPDATE Employees
183 |   SET Department = 14
184 |   WHERE Department = 77
185 | ;
186 | ```
187 | 
188 | 19. Delete from the table all employees in the IT department (code 14).
189 | 
190 | ```sql
191 | DELETE FROM Employees
192 |   WHERE Department = 14
193 | ;
194 | ```
195 | 
196 | 20. Delete from the table all employees who work in departments with a budget greater than or equal to $60,000.
197 | 
198 | ```sql
199 | DELETE FROM Employees
200 |   WHERE Department IN
201 |     (SELECT Code FROM Departments
202 |        WHERE Budget >= 60000
203 |      )
204 | ;
205 | ```
206 | 
207 | 21. Delete from the table all employees.
208 | 
209 | ```sql
210 | DELETE FROM Employees;
211 | ```
212 | 


--------------------------------------------------------------------------------
/1. The computer store/README.md:
--------------------------------------------------------------------------------
  1 | ![](https://upload.wikimedia.org/wikipedia/commons/b/b2/Computer-store-db.png)
  2 | 
  3 | > Please note the datatypes given are `SQLite` datatypes.
  4 | >
  5 | > `PK` and `FK` stand for **primary key** and **foreign key** respectively.
  6 | 
  7 | 
  8 | 1. Select the names of all the products in the store.
  9 | 
 10 | ```sql
 11 | SELECT Name
 12 |   FROM Products
 13 | ;
 14 | ```
 15 | 
 16 | 2. Select the names and the prices of all the products in the store.
 17 | 
 18 | ```sql
 19 | SELECT Name, Price
 20 |   FROM Products
 21 | ;
 22 | ```
 23 | 
 24 | 3. Select the name of the products with a price less than or equal to `$200`.
 25 | 
 26 | ```sql
 27 | SELECT Name
 28 |   FROM Products
 29 |   WHERE Price <= 200
 30 | ;
 31 | ```
 32 | 
 33 | 4. Select all the products with a price between `$60` and `$120`.
 34 | 
 35 | ```sql
 36 | SELECT *
 37 |   FROM Products
 38 |   WHERE Price >= 60
 39 |   AND Price <= 120
 40 | ;
 41 | ```
 42 | 
 43 | 5. Select the name and price in cents (i.e., the price must be multiplied by `100`).
 44 | 
 45 | ```sql
 46 | SELECT Name, Price * 100
 47 |   FROM Products
 48 | ;
 49 | ```
 50 | 
 51 | 6. Compute the average price of all the products.
 52 | 
 53 | ```sql
 54 | SELECT AVG(Price)
 55 |   FROM Products
 56 | ;
 57 | ```
 58 | 
 59 | 7. Compute the average price of all products with manufacturer code equal to `2`.
 60 | 
 61 | ```sql
 62 | SELECT AVG(p.Price)
 63 |   FROM Products AS p, Manufactures AS m
 64 |   WHERE m.code = 2
 65 | ;
 66 | ```
 67 | 
 68 | 8. Compute the number of products with a price larger than or equal to `$180`.
 69 | 
 70 | ```sql
 71 | SELECT COUNT(*)
 72 |   FROM Products AS p
 73 |   WHERE p.Price >= 180
 74 | ;
 75 | ```
 76 | 
 77 | 9. Select the name and price of all products with a price larger than or equal to `$180`, and sort **first** by price (in descending order), and then by name (in ascending order).
 78 | 
 79 | ```sql
 80 | SELECT p.Name AS Name, p.Price AS Price
 81 |   FROM Products AS p
 82 |   WHERE p.Price >= 180
 83 |   ORDER BY Price DESC, Name
 84 | ;
 85 | ```
 86 | 
 87 | 10. Select all the data from the products, including all the data for each product's manufacturer.
 88 | 
 89 | ```sql
 90 | /* Without INNER JOIN */
 91 | SELECT *
 92 |   FROM Products AS p, Manufacturers AS m
 93 |   WHERE p.Manufacture == m.Code
 94 | ;
 95 | 
 96 | /* With INNER JOIN */
 97 | SELECT *
 98 |   FROM Products INNER JOIN Manufacturers
 99 |   ON Products.Manufacturer = Manufacturers.Code
100 | ;
101 | ```
102 | 
103 | 11. Select the product name, price, and manufacturer name of all the products.
104 | 
105 | ```sql
106 | /* Without INNER JOIN */
107 | SELECT p.Name, p.Price, m.Name
108 |   FROM Products AS p, Manufacturers AS m
109 |   WHERE p.Manufacturer == m.Code
110 | ;
111 | 
112 | /* With INNER JOIN */
113 | SELECT Products.Name, Price, Manufacturers.Name
114 |   FROM Products INNER JOIN Manufacturers
115 |   ON Products.Manufacturer = Manufacturers.Code
116 | ;
117 | ```
118 | 
119 | 12. Select the average price of each manufacturer's products, showing only the manufacturer's code.
120 | 
121 | ```sql
122 | SELECT AVG(p.Price), m.Code
123 |   FROM Products AS p, Manufacturers AS m
124 |   WHERE p.Manufacturer == m.Code
125 |   GROUP BY p.Manufacture
126 | ;
127 | ```
128 | 
129 | 13. Select the average price of each manufacturer's products, showing the manufacturer's name.
130 | 
131 | ```sql
132 | /* Without INNER JOIN */
133 | SELECT AVG(p.Price) AS Price, m.Name AS Name
134 |   FROM Products AS p, Manufacturers AS m
135 |   WHERE p.Manufacturer = m.Code
136 |   GROUP BY m.Name
137 | ;
138 | 
139 | /* With INNER JOIN */
140 | SELECT AVG(Price), Manufacturers.Name
141 |   FROM Products INNER JOIN Manufacturers
142 |   ON Products.Manufacturer = Manufacturers.Code
143 |   GROUP BY Manufacturers.Name
144 | ;
145 | ```
146 | 
147 | 14. Select the names of manufacturer whose products have an average price larger than or equal to `$150`.
148 | 
149 | ```sql
150 | /* Without INNER JOIN */
151 | SELECT m.Name
152 |   FROM Products AS p, Manufacturers AS m
153 |   WHERE m.Code = p.Manufacturer
154 |   GROUP BY m.Name
155 |   HAVING AVG(p.Price) >= 150
156 | ;
157 | 
158 | /* With INNER JOIN */
159 | SELECT Manufacturers.Name
160 |   FROM Products INNER JOIN Manufacturers
161 |   ON Products.Manufacturer = Manufacturers.Code
162 |   GROUP BY Manufacturers.Name
163 |   HAVING AVG(Price) >= 150
164 | ;
165 | ```
166 | 
167 | 15. Select the name and price of the cheapest product.
168 | 
169 | ```sql
170 | SELECT p.Name, p.Price
171 |   FROM Products AS p
172 |   ORDER BY p.Price
173 |   LIMIT 1
174 | ;
175 | 
176 | /* With a nested SELECT */
177 | SELECT Name, Price
178 |   FROM Products
179 |   WHERE Price = (SELECT MIN(Price) FROM Products)
180 | ;
181 | ```
182 | 
183 | 16. Select the name of each manufacturer along with the name and price of its most expensive product.
184 | 
185 | ```sql
186 | /* With a nested SELECT and without INNER JOIN */
187 |   SELECT A.Name, A.Price, F.Name
188 |   FROM Products A, Manufacturers F
189 |   WHERE A.Manufacturer = F.Code
190 |     AND A.Price =
191 |     (
192 |       SELECT MAX(A.Price)
193 |         FROM Products A
194 |         WHERE A.Manufacturer = F.Code
195 |     );
196 |  
197 | /* With a nested SELECT and an INNER JOIN */
198 |   SELECT A.Name, A.Price, F.Name
199 |   FROM Products A INNER JOIN Manufacturers F
200 |   ON A.Manufacturer = F.Code
201 |     AND A.Price =
202 |     (
203 |       SELECT MAX(A.Price)
204 |         FROM Products A
205 |         WHERE A.Manufacturer = F.Code
206 |     );
207 | ```
208 | 
209 | 17. Add a new product: Loudspeakers, $70, manufacturer 2.
210 | 
211 | ```sql
212 | INSERT INTO Products(Name , Price , Manufacturer)
213 |   VALUES ('Loudspeakers', 70, 2)
214 | ;
215 | ```
216 | 
217 | 18. Update the name of product 8 to "Laser Printer".
218 | 
219 | ```sql
220 | UPDATE Products
221 |   SET Name = 'Laser Printer'
222 |   WHERE Code = 8
223 | ;
224 | ```
225 | 
226 | 19. Apply a 10% discount to all products.
227 | 
228 | ```sql
229 | UPDATE Products
230 |   SET Price = Price * 0.9
231 | ;
232 | ```
233 | 
234 | 20. Apply a 10% discount to all products with a price larger than or equal to `$120`.
235 | 
236 | ```sql
237 | UPDATE Products
238 |   SET Price = Price * 0.9
239 |   WHERE Price >= 120
240 | ;
241 | ```
242 | 


--------------------------------------------------------------------------------
/8. The Hospital/README.md:
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  1 | <img src="https://upload.wikimedia.org/wikipedia/commons/b/b8/Sql_hospital.png" alt="Employees"/>
  2 | 
  3 | 
  4 | 1. Obtain the names of all physicians that have performed a medical procedure they have never been certified to perform.
  5 | 
  6 | ```sql
  7 | SELECT Name 
  8 |   FROM Physician 
  9 |   WHERE EmployeeID IN 
 10 |    (
 11 |      SELECT Physician
 12 |        FROM Undergoes U
 13 |        WHERE NOT EXISTS 
 14 |         (
 15 |            SELECT *
 16 |              FROM Trained_In 
 17 |              WHERE Treatment = Procedure 
 18 |                AND Physician = U.Physician
 19 |         )
 20 |    )
 21 | ;
 22 | ```
 23 | 
 24 | 2. Same as the previous query, but include the following information in the results: Physician name, name of procedure, date when the procedure was carried out, name of the patient the procedure was carried out on.
 25 | 
 26 | ```sql
 27 | SELECT P.Name AS Physician, Pr.Name AS Procedure, U.Date, Pt.Name AS Patient 
 28 |   FROM Physician P, Undergoes U, Patient Pt, Procedure Pr
 29 |   WHERE U.Patient = Pt.SSN
 30 |     AND U.Procedure = Pr.Code
 31 |     AND U.Physician = P.EmployeeID
 32 |     AND NOT EXISTS 
 33 |               (
 34 |                 SELECT * FROM Trained_In T
 35 |                 WHERE T.Treatment = U.Procedure 
 36 |                 AND T.Physician = U.Physician
 37 |               );
 38 | ```
 39 | 
 40 | 3. Obtain the names of all physicians that have performed a medical procedure that they are certified to perform, but such that the procedure was done at a date (Undergoes.Date) after the physician's certification expired (Trained_In.CertificationExpires).
 41 | 
 42 | ```sql
 43 | SELECT Name 
 44 |   FROM Physician 
 45 |  WHERE EmployeeID IN 
 46 |        (
 47 |          SELECT Physician FROM Undergoes U 
 48 |           WHERE Date > 
 49 |                (
 50 |                   SELECT CertificationExpires 
 51 |                     FROM Trained_In T 
 52 |                    WHERE T.Physician = U.Physician 
 53 |                      AND T.Treatment = U.Procedure
 54 |                )
 55 |        );
 56 | ```
 57 | 
 58 | 4. Same as the previous query, but include the following information in the results: Physician name, name of procedure, date when the procedure was carried out, name of the patient the procedure was carried out on, and date when the certification expired.
 59 | 
 60 | ```sql
 61 | SELECT P.Name AS Physician, Pr.Name AS Procedure, U.Date, Pt.Name AS Patient, T.CertificationExpires
 62 |   FROM Physician P, Undergoes U, Patient Pt, Procedure Pr, Trained_In T
 63 |   WHERE U.Patient = Pt.SSN
 64 |     AND U.Procedure = Pr.Code
 65 |     AND U.Physician = P.EmployeeID
 66 |     AND Pr.Code = T.Treatment
 67 |     AND P.EmployeeID = T.Physician
 68 |     AND U.Date > T.CertificationExpires;
 69 | ```
 70 | 
 71 | 5. Obtain the information for appointments where a patient met with a physician other than his/her primary care physician. Show the following information: Patient name, physician name, nurse name (if any), start and end time of appointment, examination room, and the name of the patient's primary care physician.
 72 | 
 73 | ```sql
 74 | SELECT Pt.Name AS Patient, Ph.Name AS Physician, N.Name AS Nurse, A.Start, A.End, A.ExaminationRoom, PhPCP.Name AS PCP
 75 |   FROM Patient Pt, Physician Ph, Physician PhPCP, Appointment A LEFT JOIN Nurse N ON A.PrepNurse = N.EmployeeID
 76 |  WHERE A.Patient = Pt.SSN
 77 |    AND A.Physician = Ph.EmployeeID
 78 |    AND Pt.PCP = PhPCP.EmployeeID
 79 |    AND A.Physician <> Pt.PCP;
 80 | ```
 81 | 
 82 | 6. The Patient field in Undergoes is redundant, since we can obtain it from the Stay table. There are no constraints in force to prevent inconsistencies between these two tables. More specifically, the Undergoes table may include a row where the patient ID does not match the one we would obtain from the Stay table through the Undergoes.Stay foreign key. Select all rows from Undergoes that exhibit this inconsistency.
 83 | 
 84 | ```sql
 85 | SELECT * FROM Undergoes U
 86 |  WHERE Patient <> 
 87 |    (
 88 |      SELECT Patient FROM Stay S
 89 |       WHERE U.Stay = S.StayID
 90 |    );
 91 | ```
 92 | 
 93 | 7. Obtain the names of all the nurses who have ever been on call for room 123.
 94 | 
 95 | ```sql
 96 | SELECT N.Name FROM Nurse N
 97 |  WHERE EmployeeID IN
 98 |    (
 99 |      SELECT OC.Nurse FROM On_Call OC, Room R
100 |       WHERE OC.BlockFloor = R.BlockFloor
101 |         AND OC.BlockCode = R.BlockCode
102 |         AND R.Number = 123
103 |    );
104 | ```
105 | 
106 | 8. The hospital has several examination rooms where appointments take place. Obtain the number of appointments that have taken place in each examination room.
107 | 
108 | > N.b. The solution below fails in MS `SQL Server Management Studio`, with the following message:
109 | 
110 | ```
111 | Msg 306, Level 16, State 2, Line 473
112 | The text, ntext, and image data types cannot be compared or sorted, except when using IS NULL or LIKE operator.
113 | ```
114 | 
115 | ```sql
116 | SELECT ExaminationRoom, COUNT(AppointmentID) AS Number
117 |   FROM Appointment
118 |   GROUP BY ExaminationRoom
119 | ;
120 | ```
121 | 
122 | 9. Obtain the names of all patients (also include, for each patient, the name of the patient's primary care physician), such that \emph{all} the following are true:
123 |     - The patient has been prescribed some medication by his/her primary care physician.
124 |     - The patient has undergone a procedure with a cost larger that $5,000
125 |     - The patient has had at least two appointment where the nurse who prepped the appointment was a registered nurse.
126 |     - The patient's primary care physician is not the head of any department.
127 | 
128 | ```sql
129 | SELECT Pt.Name, PhPCP.Name FROM Patient Pt, Physician PhPCP
130 |  WHERE Pt.PCP = PhPCP.EmployeeID
131 |    AND EXISTS
132 |        (
133 |          SELECT * FROM Prescribes Pr
134 |           WHERE Pr.Patient = Pt.SSN
135 |             AND Pr.Physician = Pt.PCP
136 |        )
137 |    AND EXISTS
138 |        (
139 |          SELECT * FROM Undergoes U, Procedure Pr
140 |           WHERE U.Procedure = Pr.Code
141 |             AND U.Patient = Pt.SSN
142 |             AND Pr.Cost > 5000
143 |        )
144 |    AND 2 <=
145 |        (
146 |          SELECT COUNT(A.AppointmentID) FROM Appointment A, Nurse N
147 |           WHERE A.PrepNurse = N.EmployeeID
148 |             AND N.Registered = 1
149 |        )
150 |    AND NOT Pt.PCP IN
151 |        (
152 |           SELECT Head FROM Department
153 |        );
154 | ```


--------------------------------------------------------------------------------
/8. The Hospital/build_schema.sql:
--------------------------------------------------------------------------------
  1 | DROP TABLE IF EXISTS Physician;
  2 | CREATE TABLE Physician (
  3 |   EmployeeID INTEGER NOT NULL,
  4 |   Name VARCHAR(30) NOT NULL,
  5 |   Position VARCHAR(30) NOT NULL,
  6 |   SSN INTEGER NOT NULL,
  7 |   CONSTRAINT pk_physician PRIMARY KEY(EmployeeID)
  8 | ); 
  9 | 
 10 | DROP TABLE IF EXISTS Department;
 11 | CREATE TABLE Department (
 12 |   DepartmentID INTEGER NOT NULL,
 13 |   Name VARCHAR(30) NOT NULL,
 14 |   Head INTEGER NOT NULL,
 15 |   CONSTRAINT pk_Department PRIMARY KEY(DepartmentID),
 16 |   CONSTRAINT fk_Department_Physician_EmployeeID FOREIGN KEY(Head) REFERENCES Physician(EmployeeID)
 17 | );
 18 | 
 19 | 
 20 | DROP TABLE IF EXISTS Affiliated_With;
 21 | CREATE TABLE Affiliated_With (
 22 |   Physician INTEGER NOT NULL,
 23 |   Department INTEGER NOT NULL,
 24 |   PrimaryAffiliation BOOLEAN NOT NULL,
 25 |   CONSTRAINT fk_Affiliated_With_Physician_EmployeeID FOREIGN KEY(Physician) REFERENCES Physician(EmployeeID),
 26 |   CONSTRAINT fk_Affiliated_With_Department_DepartmentID FOREIGN KEY(Department) REFERENCES Department(DepartmentID),
 27 |   PRIMARY KEY(Physician, Department)
 28 | );
 29 | 
 30 | DROP TABLE IF EXISTS Procedures;
 31 | CREATE TABLE Procedures (
 32 |   Code INTEGER PRIMARY KEY NOT NULL,
 33 |   Name VARCHAR(30) NOT NULL,
 34 |   Cost REAL NOT NULL
 35 | );
 36 | 
 37 | DROP TABLE IF EXISTS Trained_In;
 38 | CREATE TABLE Trained_In (
 39 |   Physician INTEGER NOT NULL,
 40 |   Treatment INTEGER NOT NULL,
 41 |   CertificationDate DATETIME NOT NULL,
 42 |   CertificationExpires DATETIME NOT NULL,
 43 |   CONSTRAINT fk_Trained_In_Physician_EmployeeID FOREIGN KEY(Physician) REFERENCES Physician(EmployeeID),
 44 |   CONSTRAINT fk_Trained_In_Procedures_Code FOREIGN KEY(Treatment) REFERENCES Procedures(Code),
 45 |   PRIMARY KEY(Physician, Treatment)
 46 | );
 47 | 
 48 | DROP TABLE IF EXISTS Patient;
 49 | CREATE TABLE Patient (
 50 |   SSN INTEGER PRIMARY KEY NOT NULL,
 51 |   Name VARCHAR(30) NOT NULL,
 52 |   Address VARCHAR(30) NOT NULL,
 53 |   Phone VARCHAR(30) NOT NULL,
 54 |   InsuranceID INTEGER NOT NULL,
 55 |   PCP INTEGER NOT NULL,
 56 |   CONSTRAINT fk_Patient_Physician_EmployeeID FOREIGN KEY(PCP) REFERENCES Physician(EmployeeID)
 57 | );
 58 | 
 59 | DROP TABLE IF EXISTS Nurse;
 60 | CREATE TABLE Nurse (
 61 |   EmployeeID INTEGER PRIMARY KEY NOT NULL,
 62 |   Name VARCHAR(30) NOT NULL,
 63 |   Position VARCHAR(30) NOT NULL,
 64 |   Registered BOOLEAN NOT NULL,
 65 |   SSN INTEGER NOT NULL
 66 | );
 67 | 
 68 | DROP TABLE IF EXISTS Appointment;
 69 | CREATE TABLE Appointment (
 70 |   AppointmentID INTEGER PRIMARY KEY NOT NULL,
 71 |   Patient INTEGER NOT NULL,    
 72 |   PrepNurse INTEGER,
 73 |   Physician INTEGER NOT NULL,
 74 |   Start DATETIME NOT NULL,
 75 |   End DATETIME NOT NULL,
 76 |   ExaminationRoom TEXT NOT NULL,
 77 |   CONSTRAINT fk_Appointment_Patient_SSN FOREIGN KEY(Patient) REFERENCES Patient(SSN),
 78 |   CONSTRAINT fk_Appointment_Nurse_EmployeeID FOREIGN KEY(PrepNurse) REFERENCES Nurse(EmployeeID),
 79 |   CONSTRAINT fk_Appointment_Physician_EmployeeID FOREIGN KEY(Physician) REFERENCES Physician(EmployeeID)
 80 | );
 81 | 
 82 | DROP TABLE IF EXISTS Medication;
 83 | CREATE TABLE Medication (
 84 |   Code INTEGER PRIMARY KEY NOT NULL,
 85 |   Name VARCHAR(30) NOT NULL,
 86 |   Brand VARCHAR(30) NOT NULL,
 87 |   Description VARCHAR(30) NOT NULL
 88 | );
 89 | 
 90 | 
 91 | DROP TABLE IF EXISTS Prescribes;
 92 | CREATE TABLE Prescribes (
 93 |   Physician INTEGER NOT NULL,
 94 |   Patient INTEGER NOT NULL, 
 95 |   Medication INTEGER NOT NULL, 
 96 |   Date DATETIME NOT NULL,
 97 |   Appointment INTEGER,  
 98 |   Dose VARCHAR(30) NOT NULL,
 99 |   PRIMARY KEY(Physician, Patient, Medication, Date),
100 |   CONSTRAINT fk_Prescribes_Physician_EmployeeID FOREIGN KEY(Physician) REFERENCES Physician(EmployeeID),
101 |   CONSTRAINT fk_Prescribes_Patient_SSN FOREIGN KEY(Patient) REFERENCES Patient(SSN),
102 |   CONSTRAINT fk_Prescribes_Medication_Code FOREIGN KEY(Medication) REFERENCES Medication(Code),
103 |   CONSTRAINT fk_Prescribes_Appointment_AppointmentID FOREIGN KEY(Appointment) REFERENCES Appointment(AppointmentID)
104 | );
105 | 
106 | DROP TABLE IF EXISTS Block;
107 | CREATE TABLE Block (
108 |   BlockFloor INTEGER NOT NULL,
109 |   BlockCode INTEGER NOT NULL,
110 |   PRIMARY KEY(BlockFloor, BlockCode)
111 | ); 
112 | 
113 | DROP TABLE IF EXISTS Room;
114 | CREATE TABLE Room (
115 |   RoomNumber INTEGER PRIMARY KEY NOT NULL,
116 |   RoomType VARCHAR(30) NOT NULL,
117 |   BlockFloor INTEGER NOT NULL,  
118 |   BlockCode INTEGER NOT NULL,  
119 |   Unavailable BOOLEAN NOT NULL,
120 |   CONSTRAINT fk_Room_Block_PK FOREIGN KEY(BlockFloor, BlockCode) REFERENCES Block(BlockFloor, BlockCode)
121 | );
122 | 
123 | DROP TABLE IF EXISTS On_Call;
124 | CREATE TABLE On_Call (
125 |   Nurse INTEGER NOT NULL,
126 |   BlockFloor INTEGER NOT NULL, 
127 |   BlockCode INTEGER NOT NULL,
128 |   OnCallStart DATETIME NOT NULL,
129 |   OnCallEnd DATETIME NOT NULL,
130 |   PRIMARY KEY(Nurse, BlockFloor, BlockCode, OnCallStart, OnCallEnd),
131 |   CONSTRAINT fk_OnCall_Nurse_EmployeeID FOREIGN KEY(Nurse) REFERENCES Nurse(EmployeeID),
132 |   CONSTRAINT fk_OnCall_Block_Floor FOREIGN KEY(BlockFloor, BlockCode) REFERENCES Block(BlockFloor, BlockCode) 
133 | );
134 | 
135 | DROP TABLE IF EXISTS Stay;
136 | CREATE TABLE Stay (
137 |   StayID INTEGER PRIMARY KEY NOT NULL,
138 |   Patient INTEGER NOT NULL,
139 |   Room INTEGER NOT NULL,
140 |   StayStart DATETIME NOT NULL,
141 |   StayEnd DATETIME NOT NULL,
142 |   CONSTRAINT fk_Stay_Patient_SSN FOREIGN KEY(Patient) REFERENCES Patient(SSN),
143 |   CONSTRAINT fk_Stay_Room_Number FOREIGN KEY(Room) REFERENCES Room(RoomNumber)
144 | );
145 | 
146 | DROP TABLE IF EXISTS Undergoes;
147 | CREATE TABLE Undergoes (
148 |   Patient INTEGER NOT NULL,
149 |   Procedures INTEGER NOT NULL,
150 |   Stay INTEGER NOT NULL,
151 |   DateUndergoes DATETIME NOT NULL,
152 |   Physician INTEGER NOT NULL,
153 |   AssistingNurse INTEGER,
154 |   PRIMARY KEY(Patient, Procedures, Stay, DateUndergoes),
155 |   CONSTRAINT fk_Undergoes_Patient_SSN FOREIGN KEY(Patient) REFERENCES Patient(SSN),
156 |   CONSTRAINT fk_Undergoes_Procedures_Code FOREIGN KEY(Procedures) REFERENCES Procedures(Code),
157 |   CONSTRAINT fk_Undergoes_Stay_StayID FOREIGN KEY(Stay) REFERENCES Stay(StayID),
158 |   CONSTRAINT fk_Undergoes_Physician_EmployeeID FOREIGN KEY(Physician) REFERENCES Physician(EmployeeID),
159 |   CONSTRAINT fk_Undergoes_Nurse_EmployeeID FOREIGN KEY(AssistingNurse) REFERENCES Nurse(EmployeeID)
160 | );
161 | 
162 | 
163 | CREATE TABLE Physician (
164 |   EmployeeID INTEGER PRIMARY KEY NOT NULL,
165 |   Name TEXT NOT NULL,
166 |   Position TEXT NOT NULL,
167 |   SSN INTEGER NOT NULL
168 | ); 
169 | 
170 | CREATE TABLE Department (
171 |   DepartmentID INTEGER PRIMARY KEY NOT NULL,
172 |   Name TEXT NOT NULL,
173 |   Head INTEGER NOT NULL
174 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID)
175 | );
176 | 
177 | CREATE TABLE Affiliated_With (
178 |   Physician INTEGER NOT NULL
179 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID),
180 |   Department INTEGER NOT NULL
181 |     CONSTRAINT fk_Department_DepartmentID REFERENCES Department(DepartmentID),
182 |   PrimaryAffiliation BOOLEAN NOT NULL,
183 |   PRIMARY KEY(Physician, Department)
184 | );
185 | 
186 | CREATE TABLE Procedure (
187 |   Code INTEGER PRIMARY KEY NOT NULL,
188 |   Name TEXT NOT NULL,
189 |   Cost REAL NOT NULL
190 | );
191 | 
192 | CREATE TABLE Trained_In (
193 |   Physician INTEGER NOT NULL
194 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID),
195 |   Treatment INTEGER NOT NULL
196 |     CONSTRAINT fk_Procedure_Code REFERENCES Procedure(Code),
197 |   CertificationDate DATETIME NOT NULL,
198 |   CertificationExpires DATETIME NOT NULL,
199 |   PRIMARY KEY(Physician, Treatment)
200 | );
201 | 
202 | CREATE TABLE Patient (
203 |   SSN INTEGER PRIMARY KEY NOT NULL,
204 |   Name TEXT NOT NULL,
205 |   Address TEXT NOT NULL,
206 |   Phone TEXT NOT NULL,
207 |   InsuranceID INTEGER NOT NULL,
208 |   PCP INTEGER NOT NULL
209 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID)
210 | );
211 | 
212 | CREATE TABLE Nurse (
213 |   EmployeeID INTEGER PRIMARY KEY NOT NULL,
214 |   Name TEXT NOT NULL,
215 |   Position TEXT NOT NULL,
216 |   Registered BOOLEAN NOT NULL,
217 |   SSN INTEGER NOT NULL
218 | );
219 | 
220 | CREATE TABLE Appointment (
221 |   AppointmentID INTEGER PRIMARY KEY NOT NULL,
222 |   Patient INTEGER NOT NULL
223 |     CONSTRAINT fk_Patient_SSN REFERENCES Patient(SSN),
224 |   PrepNurse INTEGER
225 |     CONSTRAINT fk_Nurse_EmployeeID REFERENCES Nurse(EmployeeID),
226 |   Physician INTEGER NOT NULL
227 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID),
228 |   Start DATETIME NOT NULL,
229 |   End DATETIME NOT NULL,
230 |   ExaminationRoom TEXT NOT NULL
231 | );
232 | 
233 | CREATE TABLE Medication (
234 |   Code INTEGER PRIMARY KEY NOT NULL,
235 |   Name TEXT NOT NULL,
236 |   Brand TEXT NOT NULL,
237 |   Description TEXT NOT NULL
238 | );
239 | 
240 | CREATE TABLE Prescribes (
241 |   Physician INTEGER NOT NULL
242 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID),
243 |   Patient INTEGER NOT NULL
244 |     CONSTRAINT fk_Patient_SSN REFERENCES Patient(SSN),
245 |   Medication INTEGER NOT NULL
246 |     CONSTRAINT fk_Medication_Code REFERENCES Medication(Code),
247 |   Date DATETIME NOT NULL,
248 |   Appointment INTEGER
249 |     CONSTRAINT fk_Appointment_AppointmentID REFERENCES Appointment(AppointmentID),
250 |   Dose TEXT NOT NULL,
251 |   PRIMARY KEY(Physician, Patient, Medication, Date)
252 | );
253 | 
254 | CREATE TABLE Block (
255 |   Floor INTEGER NOT NULL,
256 |   Code INTEGER NOT NULL,
257 |   PRIMARY KEY(Floor, Code)
258 | ); 
259 | 
260 | CREATE TABLE Room (
261 |   Number INTEGER PRIMARY KEY NOT NULL,
262 |   Type TEXT NOT NULL,
263 |   BlockFloor INTEGER NOT NULL
264 |     CONSTRAINT fk_Block_Floor REFERENCES Block(Floor),
265 |   BlockCode INTEGER NOT NULL
266 |     CONSTRAINT fk_Block_Code REFERENCES Block(Code),
267 |   Unavailable BOOLEAN NOT NULL
268 | );
269 | 
270 | CREATE TABLE On_Call (
271 |   Nurse INTEGER NOT NULL
272 |     CONSTRAINT fk_Nurse_EmployeeID REFERENCES Nurse(EmployeeID),
273 |   BlockFloor INTEGER NOT NULL
274 |     CONSTRAINT fk_Block_Floor REFERENCES Block(Floor),
275 |   BlockCode INTEGER NOT NULL
276 |     CONSTRAINT fk_Block_Code REFERENCES Block(Code),
277 |   Start DATETIME NOT NULL,
278 |   End DATETIME NOT NULL,
279 |   PRIMARY KEY(Nurse, BlockFloor, BlockCode, Start, End)
280 | );
281 | 
282 | CREATE TABLE Stay (
283 |   StayID INTEGER PRIMARY KEY NOT NULL,
284 |   Patient INTEGER NOT NULL
285 |     CONSTRAINT fk_Patient_SSN REFERENCES Patient(SSN),
286 |   Room INTEGER NOT NULL
287 |     CONSTRAINT fk_Room_Number REFERENCES Room(Number),
288 |   Start DATETIME NOT NULL,
289 |   End DATETIME NOT NULL
290 | );
291 | 
292 | CREATE TABLE Undergoes (
293 |   Patient INTEGER NOT NULL
294 |     CONSTRAINT fk_Patient_SSN REFERENCES Patient(SSN),
295 |   Procedure INTEGER NOT NULL
296 |     CONSTRAINT fk_Procedure_Code REFERENCES Procedure(Code),
297 |   Stay INTEGER NOT NULL
298 |     CONSTRAINT fk_Stay_StayID REFERENCES Stay(StayID),
299 |   Date DATETIME NOT NULL,
300 |   Physician INTEGER NOT NULL
301 |     CONSTRAINT fk_Physician_EmployeeID REFERENCES Physician(EmployeeID),
302 |   AssistingNurse INTEGER
303 |     CONSTRAINT fk_Nurse_EmployeeID REFERENCES Nurse(EmployeeID),
304 |   PRIMARY KEY(Patient, Procedure, Stay, Date)
305 | );
306 | Sample dataset
307 | INSERT INTO Physician VALUES(1,'John Dorian','Staff Internist',111111111);
308 | INSERT INTO Physician VALUES(2,'Elliot Reid','Attending Physician',222222222);
309 | INSERT INTO Physician VALUES(3,'Christopher Turk','Surgical Attending Physician',333333333);
310 | INSERT INTO Physician VALUES(4,'Percival Cox','Senior Attending Physician',444444444);
311 | INSERT INTO Physician VALUES(5,'Bob Kelso','Head Chief of Medicine',555555555);
312 | INSERT INTO Physician VALUES(6,'Todd Quinlan','Surgical Attending Physician',666666666);
313 | INSERT INTO Physician VALUES(7,'John Wen','Surgical Attending Physician',777777777);
314 | INSERT INTO Physician VALUES(8,'Keith Dudemeister','MD Resident',888888888);
315 | INSERT INTO Physician VALUES(9,'Molly Clock','Attending Psychiatrist',999999999);
316 | 
317 | INSERT INTO Department VALUES(1,'General Medicine',4);
318 | INSERT INTO Department VALUES(2,'Surgery',7);
319 | INSERT INTO Department VALUES(3,'Psychiatry',9);
320 | 
321 | INSERT INTO Affiliated_With VALUES(1,1,1);
322 | INSERT INTO Affiliated_With VALUES(2,1,1);
323 | INSERT INTO Affiliated_With VALUES(3,1,0);
324 | INSERT INTO Affiliated_With VALUES(3,2,1);
325 | INSERT INTO Affiliated_With VALUES(4,1,1);
326 | INSERT INTO Affiliated_With VALUES(5,1,1);
327 | INSERT INTO Affiliated_With VALUES(6,2,1);
328 | INSERT INTO Affiliated_With VALUES(7,1,0);
329 | INSERT INTO Affiliated_With VALUES(7,2,1);
330 | INSERT INTO Affiliated_With VALUES(8,1,1);
331 | INSERT INTO Affiliated_With VALUES(9,3,1);
332 | 
333 | INSERT INTO Procedure VALUES(1,'Reverse Rhinopodoplasty',1500.0);
334 | INSERT INTO Procedure VALUES(2,'Obtuse Pyloric Recombobulation',3750.0);
335 | INSERT INTO Procedure VALUES(3,'Folded Demiophtalmectomy',4500.0);
336 | INSERT INTO Procedure VALUES(4,'Complete Walletectomy',10000.0);
337 | INSERT INTO Procedure VALUES(5,'Obfuscated Dermogastrotomy',4899.0);
338 | INSERT INTO Procedure VALUES(6,'Reversible Pancreomyoplasty',5600.0);
339 | INSERT INTO Procedure VALUES(7,'Follicular Demiectomy',25.0);
340 | 
341 | INSERT INTO Patient VALUES(100000001,'John Smith','42 Foobar Lane','555-0256',68476213,1);
342 | INSERT INTO Patient VALUES(100000002,'Grace Ritchie','37 Snafu Drive','555-0512',36546321,2);
343 | INSERT INTO Patient VALUES(100000003,'Random J. Patient','101 Omgbbq Street','555-1204',65465421,2);
344 | INSERT INTO Patient VALUES(100000004,'Dennis Doe','1100 Foobaz Avenue','555-2048',68421879,3);
345 | 
346 | INSERT INTO Nurse VALUES(101,'Carla Espinosa','Head Nurse',1,111111110);
347 | INSERT INTO Nurse VALUES(102,'Laverne Roberts','Nurse',1,222222220);
348 | INSERT INTO Nurse VALUES(103,'Paul Flowers','Nurse',0,333333330);
349 | 
350 | INSERT INTO Appointment VALUES(13216584,100000001,101,1,'2008-04-24 10:00','2008-04-24 11:00','A');
351 | INSERT INTO Appointment VALUES(26548913,100000002,101,2,'2008-04-24 10:00','2008-04-24 11:00','B');
352 | INSERT INTO Appointment VALUES(36549879,100000001,102,1,'2008-04-25 10:00','2008-04-25 11:00','A');
353 | INSERT INTO Appointment VALUES(46846589,100000004,103,4,'2008-04-25 10:00','2008-04-25 11:00','B');
354 | INSERT INTO Appointment VALUES(59871321,100000004,NULL,4,'2008-04-26 10:00','2008-04-26 11:00','C');
355 | INSERT INTO Appointment VALUES(69879231,100000003,103,2,'2008-04-26 11:00','2008-04-26 12:00','C');
356 | INSERT INTO Appointment VALUES(76983231,100000001,NULL,3,'2008-04-26 12:00','2008-04-26 13:00','C');
357 | INSERT INTO Appointment VALUES(86213939,100000004,102,9,'2008-04-27 10:00','2008-04-21 11:00','A');
358 | INSERT INTO Appointment VALUES(93216548,100000002,101,2,'2008-04-27 10:00','2008-04-27 11:00','B');
359 | 
360 | INSERT INTO Medication VALUES(1,'Procrastin-X','X','N/A');
361 | INSERT INTO Medication VALUES(2,'Thesisin','Foo Labs','N/A');
362 | INSERT INTO Medication VALUES(3,'Awakin','Bar Laboratories','N/A');
363 | INSERT INTO Medication VALUES(4,'Crescavitin','Baz Industries','N/A');
364 | INSERT INTO Medication VALUES(5,'Melioraurin','Snafu Pharmaceuticals','N/A');
365 | 
366 | INSERT INTO Prescribes VALUES(1,100000001,1,'2008-04-24 10:47',13216584,'5');
367 | INSERT INTO Prescribes VALUES(9,100000004,2,'2008-04-27 10:53',86213939,'10');
368 | INSERT INTO Prescribes VALUES(9,100000004,2,'2008-04-30 16:53',NULL,'5');
369 | 
370 | INSERT INTO Block VALUES(1,1);
371 | INSERT INTO Block VALUES(1,2);
372 | INSERT INTO Block VALUES(1,3);
373 | INSERT INTO Block VALUES(2,1);
374 | INSERT INTO Block VALUES(2,2);
375 | INSERT INTO Block VALUES(2,3);
376 | INSERT INTO Block VALUES(3,1);
377 | INSERT INTO Block VALUES(3,2);
378 | INSERT INTO Block VALUES(3,3);
379 | INSERT INTO Block VALUES(4,1);
380 | INSERT INTO Block VALUES(4,2);
381 | INSERT INTO Block VALUES(4,3);
382 | 
383 | INSERT INTO Room VALUES(101,'Single',1,1,0);
384 | INSERT INTO Room VALUES(102,'Single',1,1,0);
385 | INSERT INTO Room VALUES(103,'Single',1,1,0);
386 | INSERT INTO Room VALUES(111,'Single',1,2,0);
387 | INSERT INTO Room VALUES(112,'Single',1,2,1);
388 | INSERT INTO Room VALUES(113,'Single',1,2,0);
389 | INSERT INTO Room VALUES(121,'Single',1,3,0);
390 | INSERT INTO Room VALUES(122,'Single',1,3,0);
391 | INSERT INTO Room VALUES(123,'Single',1,3,0);
392 | INSERT INTO Room VALUES(201,'Single',2,1,1);
393 | INSERT INTO Room VALUES(202,'Single',2,1,0);
394 | INSERT INTO Room VALUES(203,'Single',2,1,0);
395 | INSERT INTO Room VALUES(211,'Single',2,2,0);
396 | INSERT INTO Room VALUES(212,'Single',2,2,0);
397 | INSERT INTO Room VALUES(213,'Single',2,2,1);
398 | INSERT INTO Room VALUES(221,'Single',2,3,0);
399 | INSERT INTO Room VALUES(222,'Single',2,3,0);
400 | INSERT INTO Room VALUES(223,'Single',2,3,0);
401 | INSERT INTO Room VALUES(301,'Single',3,1,0);
402 | INSERT INTO Room VALUES(302,'Single',3,1,1);
403 | INSERT INTO Room VALUES(303,'Single',3,1,0);
404 | INSERT INTO Room VALUES(311,'Single',3,2,0);
405 | INSERT INTO Room VALUES(312,'Single',3,2,0);
406 | INSERT INTO Room VALUES(313,'Single',3,2,0);
407 | INSERT INTO Room VALUES(321,'Single',3,3,1);
408 | INSERT INTO Room VALUES(322,'Single',3,3,0);
409 | INSERT INTO Room VALUES(323,'Single',3,3,0);
410 | INSERT INTO Room VALUES(401,'Single',4,1,0);
411 | INSERT INTO Room VALUES(402,'Single',4,1,1);
412 | INSERT INTO Room VALUES(403,'Single',4,1,0);
413 | INSERT INTO Room VALUES(411,'Single',4,2,0);
414 | INSERT INTO Room VALUES(412,'Single',4,2,0);
415 | INSERT INTO Room VALUES(413,'Single',4,2,0);
416 | INSERT INTO Room VALUES(421,'Single',4,3,1);
417 | INSERT INTO Room VALUES(422,'Single',4,3,0);
418 | INSERT INTO Room VALUES(423,'Single',4,3,0);
419 | 
420 | INSERT INTO On_Call VALUES(101,1,1,'2008-11-04 11:00','2008-11-04 19:00');
421 | INSERT INTO On_Call VALUES(101,1,2,'2008-11-04 11:00','2008-11-04 19:00');
422 | INSERT INTO On_Call VALUES(102,1,3,'2008-11-04 11:00','2008-11-04 19:00');
423 | INSERT INTO On_Call VALUES(103,1,1,'2008-11-04 19:00','2008-11-05 03:00');
424 | INSERT INTO On_Call VALUES(103,1,2,'2008-11-04 19:00','2008-11-05 03:00');
425 | INSERT INTO On_Call VALUES(103,1,3,'2008-11-04 19:00','2008-11-05 03:00');
426 | 
427 | INSERT INTO Stay VALUES(3215,100000001,111,'2008-05-01','2008-05-04');
428 | INSERT INTO Stay VALUES(3216,100000003,123,'2008-05-03','2008-05-14');
429 | INSERT INTO Stay VALUES(3217,100000004,112,'2008-05-02','2008-05-03');
430 | 
431 | INSERT INTO Undergoes VALUES(100000001,6,3215,'2008-05-02',3,101);
432 | INSERT INTO Undergoes VALUES(100000001,2,3215,'2008-05-03',7,101);
433 | INSERT INTO Undergoes VALUES(100000004,1,3217,'2008-05-07',3,102);
434 | INSERT INTO Undergoes VALUES(100000004,5,3217,'2008-05-09',6,NULL);
435 | INSERT INTO Undergoes VALUES(100000001,7,3217,'2008-05-10',7,101);
436 | INSERT INTO Undergoes VALUES(100000004,4,3217,'2008-05-13',3,103);
437 | 
438 | INSERT INTO Trained_In VALUES(3,1,'2008-01-01','2008-12-31');
439 | INSERT INTO Trained_In VALUES(3,2,'2008-01-01','2008-12-31');
440 | INSERT INTO Trained_In VALUES(3,5,'2008-01-01','2008-12-31');
441 | INSERT INTO Trained_In VALUES(3,6,'2008-01-01','2008-12-31');
442 | INSERT INTO Trained_In VALUES(3,7,'2008-01-01','2008-12-31');
443 | INSERT INTO Trained_In VALUES(6,2,'2008-01-01','2008-12-31');
444 | INSERT INTO Trained_In VALUES(6,5,'2007-01-01','2007-12-31');
445 | INSERT INTO Trained_In VALUES(6,6,'2008-01-01','2008-12-31');
446 | INSERT INTO Trained_In VALUES(7,1,'2008-01-01','2008-12-31');
447 | INSERT INTO Trained_In VALUES(7,2,'2008-01-01','2008-12-31');
448 | INSERT INTO Trained_In VALUES(7,3,'2008-01-01','2008-12-31');
449 | INSERT INTO Trained_In VALUES(7,4,'2008-01-01','2008-12-31');
450 | INSERT INTO Trained_In VALUES(7,5,'2008-01-01','2008-12-31');
451 | INSERT INTO Trained_In VALUES(7,6,'2008-01-01','2008-12-31');
452 | INSERT INTO Trained_In VALUES(7,7,'2008-01-01','2008-12-31');
453 | 


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