Create Demo Database
Demo Database
Up until now in this tutorial we have worked with a very small and simple table in our PostgreSQL database.
Now we want to create more tables with more content to be able to demonstrate more database features.
We will create these 6 tables in our PostgreSQL database:
categories
customers
products
orders
order_details
testproducts
Below we have listed all the SQL statements you need to create those tables, with content.
You are not required to create the tables on your own system to continue with this tutorial, but you might better understand how PostgreSQL and SQL statements work.
Make sure you are connected to the database. If not, follow the steps in the SQL Shell chapter of this tutorial.
Once you are connected, you are ready to write SQL statements!
CATEGORIES
The following SQL statement will create a table named
categories
:
CREATE TABLE categories
CREATE TABLE categories (
category_id SERIAL NOT NULL PRIMARY KEY,
category_name VARCHAR(255),
description VARCHAR(255)
);
Result
CREATE TABLE
The following SQL statement will fill the
categories
table with content:
INSERT INTO categories
INSERT INTO categories (category_name, description)
VALUES
('Beverages', 'Soft drinks, coffees, teas, beers, and ales'),
('Condiments', 'Sweet and savory sauces, relishes, spreads, and seasonings'),
('Confections', 'Desserts, candies, and sweet breads'),
('Dairy Products', 'Cheeses'),
('Grains/Cereals', 'Breads, crackers, pasta, and cereal'),
('Meat/Poultry', 'Prepared meats'),
('Produce', 'Dried fruit and bean curd'),
('Seafood', 'Seaweed and fish');
Result
INSERT 0 8
The result can also be seen here: Demo Database - categories
CUSTOMERS
The following SQL statement will create a table named
customers
:
CREATE TABLE customers
CREATE TABLE customers (
customer_id SERIAL NOT
NULL PRIMARY KEY,
customer_name VARCHAR(255),
contact_name VARCHAR(255),
address VARCHAR(255),
city VARCHAR(255),
postal_code VARCHAR(255),
country
VARCHAR(255)
);
Result
CREATE TABLE
The following SQL statement will fill the
customers
table with content:
INSERT INTO customers
INSERT INTO customers (customer_name, contact_name, address, city, postal_code, country)
VALUES
('Alfreds Futterkiste', 'Maria Anders', 'Obere Str.
57', 'Berlin', '12209', 'Germany'),
('Ana Trujillo Emparedados
y helados', 'Ana Trujillo', 'Avda. de la Constitucion 2222', 'Mexico
D.F.', '05021', 'Mexico'),
('Antonio Moreno Taquera', 'Antonio
Moreno', 'Mataderos 2312', 'Mexico D.F.', '05023', 'Mexico'),
('Around the Horn', 'Thomas Hardy', '120 Hanover Sq.', 'London', 'WA1
1DP', 'UK'),
('Berglunds snabbkoep', 'Christina Berglund', 'Berguvsvegen
8', 'Lulea', 'S-958 22', 'Sweden'),
('Blauer See Delikatessen',
'Hanna Moos', 'Forsterstr. 57', 'Mannheim', '68306', 'Germany'),
('Blondel pere et fils', 'Frederique Citeaux', '24, place Kleber',
'Strasbourg', '67000', 'France'),
('Bolido Comidas preparadas',
'Martin Sommer', 'C/ Araquil, 67', 'Madrid', '28023', 'Spain'),
('Bon app', 'Laurence Lebihans', '12, rue des Bouchers', 'Marseille',
'13008', 'France'),
('Bottom-Dollar Marketse', 'Elizabeth
Lincoln', '23 Tsawassen Blvd.', 'Tsawassen', 'T2F 8M4', 'Canada'),
('Bs Beverages', 'Victoria Ashworth', 'Fauntleroy Circus', 'London',
'EC2 5NT', 'UK'),
('Cactus Comidas para llevar', 'Patricio
Simpson', 'Cerrito 333', 'Buenos Aires', '1010', 'Argentina'),
('Centro comercial Moctezuma', 'Francisco Chang', 'Sierras de Granada
9993', 'Mexico D.F.', '05022', 'Mexico'),
('Chop-suey
Chinese', 'Yang Wang', 'Hauptstr. 29', 'Bern', '3012', 'Switzerland'),
('Comercio Mineiro', 'Pedro Afonso', 'Av. dos Lusiadas, 23', 'Sao
Paulo', '05432-043', 'Brazil'),
('Consolidated Holdings',
'Elizabeth Brown', 'Berkeley Gardens 12 Brewery ', 'London', 'WX1 6LT',
'UK'),
('Drachenblut Delikatessend', 'Sven Ottlieb', 'Walserweg
21', 'Aachen', '52066', 'Germany'),
('Du monde entier',
'Janine Labrune', '67, rue des Cinquante Otages', 'Nantes', '44000',
'France'),
('Eastern Connection', 'Ann Devon', '35 King
George', 'London', 'WX3 6FW', 'UK'),
('Ernst Handel', 'Roland
Mendel', 'Kirchgasse 6', 'Graz', '8010', 'Austria'),
('Familia
Arquibaldo', 'Aria Cruz', 'Rua Oros, 92', 'Sao Paulo', '05442-030',
'Brazil'),
('FISSA Fabrica Inter. Salchichas S.A.', 'Diego
Roel', 'C/ Moralzarzal, 86', 'Madrid', '28034', 'Spain'),
('Folies
gourmandes', 'Martine Rance', '184, chaussee de Tournai', 'Lille',
'59000', 'France'),
('Folk och fe HB', 'Maria Larsson', 'Akergatan
24', 'Brecke', 'S-844 67', 'Sweden'),
('Frankenversand',
'Peter Franken', 'Berliner Platz 43', 'Munchen', '80805', 'Germany'),
('France restauration', 'Carine Schmitt', '54, rue Royale', 'Nantes',
'44000', 'France'),
('Franchi S.p.A.', 'Paolo Accorti', 'Via
Monte Bianco 34', 'Torino', '10100', 'Italy'),
('Furia
Bacalhau e Frutos do Mar', 'Lino Rodriguez ', 'Jardim das rosas n. 32',
'Lisboa', '1675', 'Portugal'),
('Galeria del gastronomo',
'Eduardo Saavedra', 'Rambla de Cataluna, 23', 'Barcelona', '08022',
'Spain'),
('Godos Cocina Tipica', 'Jose Pedro Freyre', 'C/
Romero, 33', 'Sevilla', '41101', 'Spain'),
('Gourmet
Lanchonetes', 'Andre Fonseca', 'Av. Brasil, 442', 'Campinas',
'04876-786', 'Brazil'),
('Great Lakes Food Market', 'Howard
Snyder', '2732 Baker Blvd.', 'Eugene', '97403', 'USA'),
('GROSELLA-Restaurante', 'Manuel Pereira', '5th Ave. Los Palos Grandes',
'Caracas', '1081', 'Venezuela'),
('Hanari Carnes', 'Mario
Pontes', 'Rua do Paco, 67', 'Rio de Janeiro', '05454-876', 'Brazil'),
('HILARION-Abastos', 'Carlos Hernandez', 'Carrera 22 con Ave. Carlos
Soublette #8-35', 'San Cristobal', '5022', 'Venezuela'),
('Hungry Coyote Import Store', 'Yoshi Latimer', 'City Center Plaza 516
Main St.', 'Elgin', '97827', 'USA'),
('Hungry Owl All-Night
Grocers', 'Patricia McKenna', '8 Johnstown Road', 'Cork', '',
'Ireland'),
('Island Trading', 'Helen Bennett', 'Garden House
Crowther Way', 'Cowes', 'PO31 7PJ', 'UK'),
('Koniglich Essen',
'Philip Cramer', 'Maubelstr. 90', 'Brandenburg', '14776', 'Germany'),
('La corne d abondance', 'Daniel Tonini', '67, avenue de l Europe',
'Versailles', '78000', 'France'),
('La maison d Asie',
'Annette Roulet', '1 rue Alsace-Lorraine', 'Toulouse', '31000',
'France'),
('Laughing Bacchus Wine Cellars', 'Yoshi Tannamuri',
'1900 Oak St.', 'Vancouver', 'V3F 2K1', 'Canada'),
('Lazy K
Kountry Store', 'John Steel', '12 Orchestra Terrace', 'Walla Walla',
'99362', 'USA'),
('Lehmanns Marktstand', 'Renate Messner', 'Magazinweg
7', 'Frankfurt a.M. ', '60528', 'Germany'),
('Lets Stop N
Shop', 'Jaime Yorres', '87 Polk St. Suite 5', 'San Francisco', '94117',
'USA'),
('LILA-Supermercado', 'Carlos Gonzalez', 'Carrera 52
con Ave. Bolivar #65-98 Llano Largo', 'Barquisimeto', '3508',
'Venezuela'),
('LINO-Delicateses', 'Felipe Izquierdo', 'Ave. 5
de Mayo Porlamar', 'I. de Margarita', '4980', 'Venezuela'),
('Lonesome Pine Restaurant', 'Fran Wilson', '89 Chiaroscuro Rd.',
'Portland', '97219', 'USA'),
('Magazzini Alimentari Riuniti',
'Giovanni Rovelli', 'Via Ludovico il Moro 22', 'Bergamo', '24100',
'Italy'),
('Maison Dewey', 'Catherine Dewey', 'Rue Joseph-Bens
532', 'Bruxelles', 'B-1180', 'Belgium'),
('Mere Paillarde',
'Jean Fresniere', '43 rue St. Laurent', 'Montreal', 'H1J 1C3',
'Canada'),
('Morgenstern Gesundkost', 'Alexander Feuer', 'Heerstr.
22', 'Leipzig', '04179', 'Germany'),
('North/South', 'Simon
Crowther', 'South House 300 Queensbridge', 'London', 'SW7 1RZ', 'UK'),
('Oceano Atlantico Ltda.', 'Yvonne Moncada', 'Ing. Gustavo Moncada 8585
Piso 20-A', 'Buenos Aires', '1010', 'Argentina'),
('Old World
Delicatessen', 'Rene Phillips', '2743 Bering St.', 'Anchorage', '99508',
'USA'),
('Ottilies Keseladen', 'Henriette Pfalzheim', 'Mehrheimerstr.
369', 'Koln', '50739', 'Germany'),
('Paris specialites',
'Marie Bertrand', '265, boulevard Charonne', 'Paris', '75012',
'France'),
('Pericles Comidas clasicas', 'Guillermo
Fernandez', 'Calle Dr. Jorge Cash 321', 'Mexico D.F.', '05033',
'Mexico'),
('Piccolo und mehr', 'Georg Pipps', 'Geislweg 14',
'Salzburg', '5020', 'Austria'),
('Princesa Isabel Vinhoss',
'Isabel de Castro', 'Estrada da saude n. 58', 'Lisboa', '1756',
'Portugal'),
('Que Delicia', 'Bernardo Batista', 'Rua da
Panificadora, 12', 'Rio de Janeiro', '02389-673', 'Brazil'),
('Queen Cozinha', 'Lucia Carvalho', 'Alameda dos Canarios, 891', 'Sao
Paulo', '05487-020', 'Brazil'),
('QUICK-Stop', 'Horst Kloss',
'Taucherstrasse 10', 'Cunewalde', '01307', 'Germany'),
('Rancho grande', 'Sergio Gutiarrez', 'Av. del Libertador 900', 'Buenos
Aires', '1010', 'Argentina'),
('Rattlesnake Canyon Grocery',
'Paula Wilson', '2817 Milton Dr.', 'Albuquerque', '87110', 'USA'),
('Reggiani Caseifici', 'Maurizio Moroni', 'Strada Provinciale 124',
'Reggio Emilia', '42100', 'Italy'),
('Ricardo Adocicados', 'Janete
Limeira', 'Av. Copacabana, 267', 'Rio de Janeiro', '02389-890',
'Brazil'),
('Richter Supermarkt', 'Michael Holz', 'Grenzacherweg
237', 'Genève', '1203', 'Switzerland'),
('Romero y tomillo',
'Alejandra Camino', 'Gran Via, 1', 'Madrid', '28001', 'Spain'),
('Santa Gourmet', 'Jonas Bergulfsen', 'Erling Skakkes gate 78', 'Stavern',
'4110', 'Norway'),
('Save-a-lot Markets', 'Jose Pavarotti',
'187 Suffolk Ln.', 'Boise', '83720', 'USA'),
('Seven Seas
Imports', 'Hari Kumar', '90 Wadhurst Rd.', 'London', 'OX15 4NB', 'UK'),
('Simons bistro', 'Jytte Petersen', 'Vinbeltet 34', 'Kobenhavn', '1734',
'Denmark'),
('Specialites du monde', 'Dominique Perrier', '25,
rue Lauriston', 'Paris', '75016', 'France'),
('Split Rail Beer
& Ale', 'Art Braunschweiger', 'P.O. Box 555', 'Lander', '82520', 'USA'),
('Supremes delices', 'Pascale Cartrain', 'Boulevard Tirou, 255',
'Charleroi', 'B-6000', 'Belgium'),
('The Big Cheese', 'Liz
Nixon', '89 Jefferson Way Suite 2', 'Portland', '97201', 'USA'),
('The Cracker Box', 'Liu Wong', '55 Grizzly Peak Rd.', 'Butte', '59801',
'USA'),
('Toms Spezialiteten', 'Karin Josephs', 'Luisenstr.
48', 'Manster', '44087', 'Germany'),
('Tortuga Restaurante',
'Miguel Angel Paolino', 'Avda. Azteca 123', 'Mexico D.F.', '05033',
'Mexico'),
('Tradicao Hipermercados', 'Anabela Domingues',
'Av. Ines de Castro, 414', 'Sao Paulo', '05634-030', 'Brazil'),
('Trails Head Gourmet Provisioners', 'Helvetius Nagy', '722 DaVinci
Blvd.', 'Kirkland', '98034', 'USA'),
('Vaffeljernet', 'Palle
Ibsen', 'Smagsloget 45', 'Arhus', '8200', 'Denmark'),
('Victuailles
en stock', 'Mary Saveley', '2, rue du Commerce', 'Lyon', '69004',
'France'),
('Vins et alcools Chevalier', 'Paul Henriot', '59
rue de l Abbaye', 'Reims', '51100', 'France'),
('Die Wandernde
Kuh', 'Rita Moller', 'Adenauerallee 900', 'Stuttgart', '70563',
'Germany'),
('Wartian Herkku', 'Pirkko Koskitalo', 'Torikatu
38', 'Oulu', '90110', 'Finland'),
('Wellington Importadora',
'Paula Parente', 'Rua do Mercado, 12', 'Resende', '08737-363',
'Brazil'),
('White Clover Markets', 'Karl Jablonski', '305 -
14th Ave. S. Suite 3B', 'Seattle', '98128', 'USA'),
('Wilman
Kala', 'Matti Karttunen', 'Keskuskatu 45', 'Helsinki', '21240',
'Finland'),
('Wolski', 'Zbyszek', 'ul. Filtrowa 68', 'Walla',
'01-012', 'Poland');
Result
INSERT 0 91
The result can also be seen here: Demo Database - customers
PRODUCTS
The following SQL statement will create a table named
products
:
CREATE TABLE products
CREATE TABLE products (
product_id SERIAL NOT NULL PRIMARY
KEY,
product_name VARCHAR(255),
category_id INT,
unit VARCHAR(255),
price
DECIMAL(10, 2)
);
Result
CREATE TABLE
The following SQL statement will fill the
products
table with content:
INSERT INTO products
INSERT INTO products (product_id, product_name, category_id,
unit, price)
VALUES
(1, 'Chais', 1, '10 boxes x 20 bags', 18),
(2, 'Chang', 1, '24 - 12 oz bottles', 19),
(3, 'Aniseed Syrup',
2, '12 - 550 ml bottles', 10),
(4, 'Chef Antons Cajun Seasoning',
2, '48 - 6 oz jars', 22),
(5, 'Chef Antons Gumbo Mix', 2, '36
boxes', 21.35),
(6, 'Grandmas Boysenberry Spread', 2, '12 - 8 oz
jars', 25),
(7, 'Uncle Bobs Organic Dried Pears', 7, '12 - 1 lb
pkgs.', 30),
(8, 'Northwoods Cranberry Sauce', 2, '12 - 12 oz
jars', 40),
(9, 'Mishi Kobe Niku', 6, '18 - 500 g pkgs.', 97),
(10, 'Ikura', 8, '12 - 200 ml jars', 31),
(11, 'Queso Cabrales',
4, '1 kg pkg.', 21),
(12, 'Queso Manchego La Pastora', 4, '10 -
500 g pkgs.', 38),
(13, 'Konbu', 8, '2 kg box', 6),
(14,
'Tofu', 7, '40 - 100 g pkgs.', 23.25),
(15, 'Genen Shouyu', 2,
'24 - 250 ml bottles', 15.5),
(16, 'Pavlova', 3, '32 - 500 g
boxes', 17.45),
(17, 'Alice Mutton', 6, '20 - 1 kg tins', 39),
(18, 'Carnarvon Tigers', 8, '16 kg pkg.', 62.5),
(19, 'Teatime
Chocolate Biscuits', 3, '10 boxes x 12 pieces', 9.2),
(20, 'Sir
Rodneys Marmalade', 3, '30 gift boxes', 81),
(21, 'Sir Rodneys
Scones', 3, '24 pkgs. x 4 pieces', 10),
(22, 'Gustafs Kneckebrod',
5, '24 - 500 g pkgs.', 21),
(23, 'Tunnbrod', 5, '12 - 250 g
pkgs.', 9),
(24, 'Guarani Fantastica', 1, '12 - 355 ml cans',
4.5),
(25, 'NuNuCa Nui-Nougat-Creme', 3, '20 - 450 g glasses',
14),
(26, 'Gumber Gummiberchen', 3, '100 - 250 g bags', 31.23),
(27, 'Schoggi Schokolade', 3, '100 - 100 g pieces', 43.9),
(28, 'Rassle
Sauerkraut', 7, '25 - 825 g cans', 45.6),
(29, 'Thoringer
Rostbratwurst', 6, '50 bags x 30 sausgs.', 123.79),
(30, 'Nord-Ost
Matjeshering', 8, '10 - 200 g glasses', 25.89),
(31, 'Gorgonzola
Telino', 4, '12 - 100 g pkgs', 12.5),
(32, 'Mascarpone Fabioli',
4, '24 - 200 g pkgs.', 32),
(33, 'Geitost', 4, '500 g', 2.5),
(34, 'Sasquatch Ale', 1, '24 - 12 oz bottles', 14),
(35, 'Steeleye
Stout', 1, '24 - 12 oz bottles', 18),
(36, 'Inlagd Sill', 8,
'24 - 250 g jars', 19),
(37, 'Gravad lax', 8, '12 - 500 g pkgs.',
26),
(38, 'Cote de Blaye', 1, '12 - 75 cl bottles', 263.5),
(39, 'Chartreuse verte', 1, '750 cc per bottle', 18),
(40,
'Boston Crab Meat', 8, '24 - 4 oz tins', 18.4),
(41, 'Jacks New
England Clam Chowder', 8, '12 - 12 oz cans', 9.65),
(42,
'Singaporean Hokkien Fried Mee', 5, '32 - 1 kg pkgs.', 14),
(43,
'Ipoh Coffee', 1, '16 - 500 g tins', 46),
(44, 'Gula Malacca',
2, '20 - 2 kg bags', 19.45),
(45, 'Rogede sild', 8, '1k
pkg.', 9.5),
(46, 'Spegesild', 8, '4 - 450 g glasses', 12),
(47, 'Zaanse koeken', 3, '10 - 4 oz boxes', 9.5),
(48, 'Chocolade',
3, '10 pkgs.', 12.75),
(49, 'Maxilaku', 3, '24 - 50 g pkgs.',
20),
(50, 'Valkoinen suklaa', 3, '12 - 100 g bars', 16.25),
(51, 'Manjimup Dried Apples', 7, '50 - 300 g pkgs.', 53),
(52,
'Filo Mix', 5, '16 - 2 kg boxes', 7),
(53, 'Perth Pasties',
6, '48 pieces', 32.8),
(54, 'Tourtiare', 6, '16 pies', 7.45),
(55, 'Pate chinois', 6, '24 boxes x 2 pies', 24),
(56, 'Gnocchi
di nonna Alice', 5, '24 - 250 g pkgs.', 38),
(57, 'Ravioli
Angelo', 5, '24 - 250 g pkgs.', 19.5),
(58, 'Escargots de
Bourgogne', 8, '24 pieces', 13.25),
(59, 'Raclette Courdavault',
4, '5 kg pkg.', 55),
(60, 'Camembert Pierrot', 4, '15 - 300 g
rounds', 34),
(61, 'Sirop d arable', 2, '24 - 500 ml bottles',
28.5),
(62, 'Tarte au sucre', 3, '48 pies', 49.3),
(63,
'Vegie-spread', 2, '15 - 625 g jars', 43.9),
(64, 'Wimmers gute
Semmelknadel', 5, '20 bags x 4 pieces', 33.25),
(65, 'Louisiana
Fiery Hot Pepper Sauce', 2, '32 - 8 oz bottles', 21.05),
(66,
'Louisiana Hot Spiced Okra', 2, '24 - 8 oz jars', 17),
(67,
'Laughing Lumberjack Lager', 1, '24 - 12 oz bottles', 14),
(68,
'Scottish Longbreads', 3, '10 boxes x 8 pieces', 12.5),
(69, 'Gudbrandsdalsost',
4, '10 kg pkg.', 36),
(70, 'Outback Lager', 1, '24 - 355 ml
bottles', 15),
(71, 'Flotemysost', 4, '10 - 500 g pkgs.', 21.5),
(72, 'Mozzarella di Giovanni', 4, '24 - 200 g pkgs.', 34.8),
(73,
'Red Kaviar', 8, '24 - 150 g jars', 15),
(74, 'Longlife Tofu',
7, '5 kg pkg.', 10),
(75, 'Rhenbreu Klosterbier', 1, '24 - 0.5 l
bottles', 7.75),
(76, 'Lakkalikeeri', 1, '500 ml ', 18),
(77,
'Original Frankfurter gr�ne Soae', 2, '12 boxes', 13);
Result
INSERT 0 77
The result can also be seen here: Demo Database - products
ORDERS
The following SQL statement will create a table named
orders
:
CREATE TABLE orders
CREATE TABLE orders (
order_id SERIAL NOT NULL PRIMARY KEY,
customer_id INT,
order_date DATE
);
Result
CREATE TABLE
The following SQL statement will fill the
orders
table with content:
INSERT INTO orders
INSERT INTO orders (order_id, customer_id, order_date)
VALUES
(10248, 90, '2021-07-04'),
(10249, 81,
'2021-07-05'),
(10250, 34, '2021-07-08'),
(10251, 84,
'2021-07-08'),
(10252, 76, '2021-07-09'),
(10253, 34,
'2021-07-10'),
(10254, 14, '2021-07-11'),
(10255, 68,
'2021-07-12'),
(10256, 88, '2021-07-15'),
(10257, 35,
'2021-07-16'),
(10258, 20, '2021-07-17'),
(10259, 13,
'2021-07-18'),
(10260, 55, '2021-07-19'),
(10261, 61,
'2021-07-19'),
(10262, 65, '2021-07-22'),
(10263, 20,
'2021-07-23'),
(10264, 24, '2021-07-24'),
(10265, 7,
'2021-07-25'),
(10266, 87, '2021-07-26'),
(10267, 25,
'2021-07-29'),
(10268, 33, '2021-07-30'),
(10269, 89,
'2021-07-31'),
(10270, 87, '2021-08-01'),
(10271, 75,
'2021-08-01'),
(10272, 65, '2021-08-02'),
(10273, 63,
'2021-08-05'),
(10274, 85, '2021-08-06'),
(10275, 49,
'2021-08-07'),
(10276, 80, '2021-08-08'),
(10277, 52,
'2021-08-09'),
(10278, 5, '2021-08-12'),
(10279, 44,
'2021-08-13'),
(10280, 5, '2021-08-14'),
(10281, 69,
'2021-08-14'),
(10282, 69, '2021-08-15'),
(10283, 46,
'2021-08-16'),
(10284, 44, '2021-08-19'),
(10285, 63,
'2021-08-20'),
(10286, 63, '2021-08-21'),
(10287, 67,
'2021-08-22'),
(10288, 66, '2021-08-23'),
(10289, 11,
'2021-08-26'),
(10290, 15, '2021-08-27'),
(10291, 61,
'2021-08-27'),
(10292, 81, '2021-08-28'),
(10293, 80,
'2021-08-29'),
(10294, 65, '2021-08-30'),
(10295, 85,
'2021-09-02'),
(10296, 46, '2021-09-03'),
(10297, 7,
'2021-09-04'),
(10298, 37, '2021-09-05'),
(10299, 67,
'2021-09-06'),
(10300, 49, '2021-09-09'),
(10301, 86,
'2021-09-09'),
(10302, 76, '2021-09-10'),
(10303, 30,
'2021-09-11'),
(10304, 80, '2021-09-12'),
(10305, 55,
'2021-09-13'),
(10306, 69, '2021-09-16'),
(10307, 48,
'2021-09-17'),
(10308, 2, '2021-09-18'),
(10309, 37,
'2021-09-19'),
(10310, 77, '2021-09-20'),
(10311, 18,
'2021-09-20'),
(10312, 86, '2021-09-23'),
(10313, 63,
'2021-09-24'),
(10314, 65, '2021-09-25'),
(10315, 38,
'2021-09-26'),
(10316, 65, '2021-09-27'),
(10317, 48,
'2021-09-30'),
(10318, 38, '2021-10-01'),
(10319, 80,
'2021-10-02'),
(10320, 87, '2021-10-03'),
(10321, 38,
'2021-10-03'),
(10322, 58, '2021-10-04'),
(10323, 39,
'2021-10-07'),
(10324, 71, '2021-10-08'),
(10325, 39,
'2021-10-09'),
(10326, 8, '2021-10-10'),
(10327, 24,
'2021-10-11'),
(10328, 28, '2021-10-14'),
(10329, 75,
'2021-10-15'),
(10330, 46, '2021-10-16'),
(10331, 9,
'2021-10-16'),
(10332, 51, '2021-10-17'),
(10333, 87,
'2021-10-18'),
(10334, 84, '2021-10-21'),
(10335, 37,
'2021-10-22'),
(10336, 60, '2021-10-23'),
(10337, 25,
'2021-10-24'),
(10338, 55, '2021-10-25'),
(10339, 51,
'2021-10-28'),
(10340, 9, '2021-10-29'),
(10341, 73,
'2021-10-29'),
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(10822, 82, '2023-01-08'),
(10823, 46,
'2023-01-09'),
(10824, 24, '2023-01-09'),
(10825, 17,
'2023-01-09'),
(10826, 7, '2023-01-12'),
(10827, 9,
'2023-01-12'),
(10828, 64, '2023-01-13'),
(10829, 38,
'2023-01-13'),
(10830, 81, '2023-01-13'),
(10831, 70,
'2023-01-14'),
(10832, 41, '2023-01-14'),
(10833, 56,
'2023-01-15'),
(10834, 81, '2023-01-15'),
(10835, 1,
'2023-01-15'),
(10836, 20, '2023-01-16'),
(10837, 5,
'2023-01-16'),
(10838, 47, '2023-01-19'),
(10839, 81,
'2023-01-19'),
(10840, 47, '2023-01-19'),
(10841, 76,
'2023-01-20'),
(10842, 80, '2023-01-20'),
(10843, 84,
'2023-01-21'),
(10844, 59, '2023-01-21'),
(10845, 63,
'2023-01-21'),
(10846, 76, '2023-01-22'),
(10847, 71,
'2023-01-22'),
(10848, 16, '2023-01-23'),
(10849, 39,
'2023-01-23'),
(10850, 84, '2023-01-23'),
(10851, 67,
'2023-01-26'),
(10852, 65, '2023-01-26'),
(10853, 6,
'2023-01-27'),
(10854, 20, '2023-01-27'),
(10855, 55,
'2023-01-27'),
(10856, 3, '2023-01-28'),
(10857, 5,
'2023-01-28'),
(10858, 40, '2023-01-29'),
(10859, 25,
'2023-01-29'),
(10860, 26, '2023-01-29'),
(10861, 89,
'2023-01-30'),
(10862, 44, '2023-01-30'),
(10863, 35,
'2023-02-02'),
(10864, 4, '2023-02-02'),
(10865, 63,
'2023-02-02'),
(10866, 5, '2023-02-03'),
(10867, 48,
'2023-02-03'),
(10868, 62, '2023-02-04'),
(10869, 72,
'2023-02-04'),
(10870, 91, '2023-02-04'),
(10871, 9,
'2023-02-05'),
(10872, 30, '2023-02-05'),
(10873, 90,
'2023-02-06'),
(10874, 30, '2023-02-06'),
(10875, 5,
'2023-02-06'),
(10876, 9, '2023-02-09'),
(10877, 67,
'2023-02-09'),
(10878, 63, '2023-02-10'),
(10879, 90,
'2023-02-10'),
(10880, 24, '2023-02-10'),
(10881, 12,
'2023-02-11'),
(10882, 71, '2023-02-11'),
(10883, 48,
'2023-02-12'),
(10884, 45, '2023-02-12'),
(10885, 76,
'2023-02-12'),
(10886, 34, '2023-02-13'),
(10887, 29,
'2023-02-13'),
(10888, 30, '2023-02-16'),
(10889, 65,
'2023-02-16'),
(10890, 18, '2023-02-16'),
(10891, 44,
'2023-02-17'),
(10892, 50, '2023-02-17'),
(10893, 39,
'2023-02-18'),
(10894, 71, '2023-02-18'),
(10895, 20,
'2023-02-18'),
(10896, 50, '2023-02-19'),
(10897, 37,
'2023-02-19'),
(10898, 54, '2023-02-20'),
(10899, 46,
'2023-02-20'),
(10900, 88, '2023-02-20'),
(10901, 35,
'2023-02-23'),
(10902, 24, '2023-02-23'),
(10903, 34,
'2023-02-24'),
(10904, 89, '2023-02-24'),
(10905, 88,
'2023-02-24'),
(10906, 91, '2023-02-25'),
(10907, 74,
'2023-02-25'),
(10908, 66, '2023-02-26'),
(10909, 70,
'2023-02-26'),
(10910, 90, '2023-02-26'),
(10911, 30,
'2023-02-26'),
(10912, 37, '2023-02-26'),
(10913, 62,
'2023-02-26'),
(10914, 62, '2023-02-27'),
(10915, 80,
'2023-02-27'),
(10916, 64, '2023-02-27'),
(10917, 69,
'2023-03-02'),
(10918, 10, '2023-03-02'),
(10919, 47,
'2023-03-02'),
(10920, 4, '2023-03-03'),
(10921, 83,
'2023-03-03'),
(10922, 34, '2023-03-03'),
(10923, 41,
'2023-03-03'),
(10924, 5, '2023-03-04'),
(10925, 34,
'2023-03-04'),
(10926, 2, '2023-03-04'),
(10927, 40,
'2023-03-05'),
(10928, 29, '2023-03-05'),
(10929, 25,
'2023-03-05'),
(10930, 76, '2023-03-06'),
(10931, 68,
'2023-03-06'),
(10932, 9, '2023-03-06'),
(10933, 38,
'2023-03-06'),
(10934, 44, '2023-03-09'),
(10935, 88,
'2023-03-09'),
(10936, 32, '2023-03-09'),
(10937, 12,
'2023-03-10'),
(10938, 63, '2023-03-10'),
(10939, 49,
'2023-03-10'),
(10940, 9, '2023-03-11'),
(10941, 71,
'2023-03-11'),
(10942, 66, '2023-03-11'),
(10943, 11,
'2023-03-11'),
(10944, 10, '2023-03-12'),
(10945, 52,
'2023-03-12'),
(10946, 83, '2023-03-12'),
(10947, 11,
'2023-03-13'),
(10948, 30, '2023-03-13'),
(10949, 10,
'2023-03-13'),
(10950, 49, '2023-03-16'),
(10951, 68,
'2023-03-16'),
(10952, 1, '2023-03-16'),
(10953, 4,
'2023-03-16'),
(10954, 47, '2023-03-17'),
(10955, 24,
'2023-03-17'),
(10956, 6, '2023-03-17'),
(10957, 35,
'2023-03-18'),
(10958, 54, '2023-03-18'),
(10959, 31,
'2023-03-18'),
(10960, 35, '2023-03-19'),
(10961, 62,
'2023-03-19'),
(10962, 63, '2023-03-19'),
(10963, 28,
'2023-03-19'),
(10964, 74, '2023-03-20'),
(10965, 55,
'2023-03-20'),
(10966, 14, '2023-03-20'),
(10967, 79,
'2023-03-23'),
(10968, 20, '2023-03-23'),
(10969, 15,
'2023-03-23'),
(10970, 8, '2023-03-24'),
(10971, 26,
'2023-03-24'),
(10972, 40, '2023-03-24'),
(10973, 40,
'2023-03-24'),
(10974, 75, '2023-03-25'),
(10975, 10,
'2023-03-25'),
(10976, 35, '2023-03-25'),
(10977, 24,
'2023-03-26'),
(10978, 50, '2023-03-26'),
(10979, 20,
'2023-03-26'),
(10980, 24, '2023-03-27'),
(10981, 34,
'2023-03-27'),
(10982, 10, '2023-03-27'),
(10983, 71,
'2023-03-27'),
(10984, 71, '2023-03-30'),
(10985, 37,
'2023-03-30'),
(10986, 54, '2023-03-30'),
(10987, 19,
'2023-03-31'),
(10988, 65, '2023-03-31'),
(10989, 61,
'2023-03-31'),
(10990, 20, '2023-04-01'),
(10991, 63,
'2023-04-01'),
(10992, 77, '2023-04-01'),
(10993, 24,
'2023-04-01'),
(10994, 83, '2023-04-02'),
(10995, 58,
'2023-04-02'),
(10996, 63, '2023-04-02'),
(10997, 46,
'2023-04-03'),
(10998, 91, '2023-04-03'),
(10999, 56,
'2023-04-03'),
(11000, 65, '2023-04-06'),
(11001, 24,
'2023-04-06'),
(11002, 71, '2023-04-06'),
(11003, 78,
'2023-04-06'),
(11004, 50, '2023-04-07'),
(11005, 90,
'2023-04-07'),
(11006, 32, '2023-04-07'),
(11007, 60,
'2023-04-08'),
(11008, 20, '2023-04-08'),
(11009, 30,
'2023-04-08'),
(11010, 66, '2023-04-09'),
(11011, 1,
'2023-04-09'),
(11012, 25, '2023-04-09'),
(11013, 69,
'2023-04-09'),
(11014, 47, '2023-04-10'),
(11015, 70,
'2023-04-10'),
(11016, 4, '2023-04-10'),
(11017, 20,
'2023-04-13'),
(11018, 48, '2023-04-13'),
(11019, 64,
'2023-04-13'),
(11020, 56, '2023-04-14'),
(11021, 63,
'2023-04-14'),
(11022, 34, '2023-04-14'),
(11023, 11,
'2023-04-14'),
(11024, 19, '2023-04-15'),
(11025, 87,
'2023-04-15'),
(11026, 27, '2023-04-15'),
(11027, 10,
'2023-04-16'),
(11028, 39, '2023-04-16'),
(11029, 14,
'2023-04-16'),
(11030, 71, '2023-04-17'),
(11031, 71,
'2023-04-17'),
(11032, 89, '2023-04-17'),
(11033, 68,
'2023-04-17'),
(11034, 55, '2023-04-20'),
(11035, 76,
'2023-04-20'),
(11036, 17, '2023-04-20'),
(11037, 30,
'2023-04-21'),
(11038, 76, '2023-04-21'),
(11039, 47,
'2023-04-21'),
(11040, 32, '2023-04-22'),
(11041, 14,
'2023-04-22'),
(11042, 15, '2023-04-22'),
(11043, 74,
'2023-04-22'),
(11044, 91, '2023-04-23'),
(11045, 10,
'2023-04-23'),
(11046, 86, '2023-04-23'),
(11047, 19,
'2023-04-24'),
(11048, 10, '2023-04-24'),
(11049, 31,
'2023-04-24'),
(11050, 24, '2023-04-27'),
(11051, 41,
'2023-04-27'),
(11052, 34, '2023-04-27'),
(11053, 59,
'2023-04-27'),
(11054, 12, '2023-04-28'),
(11055, 35,
'2023-04-28'),
(11056, 19, '2023-04-28'),
(11057, 53,
'2023-04-29'),
(11058, 6, '2023-04-29'),
(11059, 67,
'2023-04-29'),
(11060, 27, '2023-04-30'),
(11061, 32,
'2023-04-30'),
(11062, 66, '2023-04-30'),
(11063, 37,
'2023-04-30'),
(11064, 71, '2023-05-01'),
(11065, 46,
'2023-05-01'),
(11066, 89, '2023-05-01'),
(11067, 17,
'2023-05-04'),
(11068, 62, '2023-05-04'),
(11069, 80,
'2023-05-04'),
(11070, 44, '2023-05-05'),
(11071, 46,
'2023-05-05'),
(11072, 20, '2023-05-05'),
(11073, 58,
'2023-05-05'),
(11074, 73, '2023-05-06'),
(11075, 68,
'2023-05-06'),
(11076, 9, '2023-05-06'),
(11077, 65,
'2023-05-06');
Result
INSERT 0 830
The result can also be seen here: Demo Database - orders
ORDER_DETAILS
The following SQL statement will create a table named
order_details
:
CREATE TABLE order_details
CREATE TABLE order_details (
order_detail_id SERIAL NOT NULL
PRIMARY KEY,
order_id INT,
product_id INT,
quantity INT
);
Result
CREATE TABLE
The following SQL statement will fill the
order_details
table with content:
INSERT INTO order_details
INSERT INTO order_details (order_id, product_id, quantity)
VALUES
(10248, 11, 12),
(10248, 42, 10),
(10248, 72, 5),
(10249, 14,
9),
(10249, 51, 40),
(10250, 41, 10),
(10250, 51, 35),
(10250, 65, 15),
(10251, 22, 6),
(10251, 57, 15),
(10251, 65,
20),
(10252, 20, 40),
(10252, 33, 25),
(10252, 60, 40),
(10253, 31, 20),
(10253, 39, 42),
(10253, 49, 40),
(10254, 24,
15),
(10254, 55, 21),
(10254, 74, 21),
(10255, 2, 20),
(10255, 16, 35),
(10255, 36, 25),
(10255, 59, 30),
(10256, 53,
15),
(10256, 77, 12),
(10257, 27, 25),
(10257, 39, 6),
(10257, 77, 15),
(10258, 2, 50),
(10258, 5, 65),
(10258, 32,
6),
(10259, 21, 10),
(10259, 37, 1),
(10260, 41, 16),
(10260, 57, 50),
(10260, 62, 15),
(10260, 70, 21),
(10261, 21,
20),
(10261, 35, 20),
(10262, 5, 12),
(10262, 7, 15),
(10262, 56, 2),
(10263, 16, 60),
(10263, 24, 28),
(10263, 30,
60),
(10263, 74, 36),
(10264, 2, 35),
(10264, 41, 25),
(10265, 17, 30),
(10265, 70, 20),
(10266, 12, 12),
(10267, 40,
50),
(10267, 59, 70),
(10267, 76, 15),
(10268, 29, 10),
(10268, 72, 4),
(10269, 33, 60),
(10269, 72, 20),
(10270, 36,
30),
(10270, 43, 25),
(10271, 33, 24),
(10272, 20, 6),
(10272, 31, 40),
(10272, 72, 24),
(10273, 10, 24),
(10273, 31,
15),
(10273, 33, 20),
(10273, 40, 60),
(10273, 76, 33),
(10274, 71, 20),
(10274, 72, 7),
(10275, 24, 12),
(10275, 59,
6),
(10276, 10, 15),
(10276, 13, 10),
(10277, 28, 20),
(10277, 62, 12),
(10278, 44, 16),
(10278, 59, 15),
(10278, 63,
8),
(10278, 73, 25),
(10279, 17, 15),
(10280, 24, 12),
(10280, 55, 20),
(10280, 75, 30),
(10281, 19, 1),
(10281, 24,
6),
(10281, 35, 4),
(10282, 30, 6),
(10282, 57, 2),
(10283,
15, 20),
(10283, 19, 18),
(10283, 60, 35),
(10283, 72, 3),
(10284, 27, 15),
(10284, 44, 21),
(10284, 60, 20),
(10284, 67,
5),
(10285, 1, 45),
(10285, 40, 40),
(10285, 53, 36),
(10286, 35, 100),
(10286, 62, 40),
(10287, 16, 40),
(10287, 34,
20),
(10287, 46, 15),
(10288, 54, 10),
(10288, 68, 3),
(10289, 3, 30),
(10289, 64, 9),
(10290, 5, 20),
(10290, 29,
15),
(10290, 49, 15),
(10290, 77, 10),
(10291, 13, 20),
(10291, 44, 24),
(10291, 51, 2),
(10292, 20, 20),
(10293, 18,
12),
(10293, 24, 10),
(10293, 63, 5),
(10293, 75, 6),
(10294, 1, 18),
(10294, 17, 15),
(10294, 43, 15),
(10294, 60,
21),
(10294, 75, 6),
(10295, 56, 4),
(10296, 11, 12),
(10296, 16, 30),
(10296, 69, 15),
(10297, 39, 60),
(10297, 72,
20),
(10298, 2, 40),
(10298, 36, 40),
(10298, 59, 30),
(10298, 62, 15),
(10299, 19, 15),
(10299, 70, 20),
(10300, 66,
30),
(10300, 68, 20),
(10301, 40, 10),
(10301, 56, 20),
(10302, 17, 40),
(10302, 28, 28),
(10302, 43, 12),
(10303, 40,
40),
(10303, 65, 30),
(10303, 68, 15),
(10304, 49, 30),
(10304, 59, 10),
(10304, 71, 2),
(10305, 18, 25),
(10305, 29,
25),
(10305, 39, 30),
(10306, 30, 10),
(10306, 53, 10),
(10306, 54, 5),
(10307, 62, 10),
(10307, 68, 3),
(10308, 69,
1),
(10308, 70, 5),
(10309, 4, 20),
(10309, 6, 30),
(10309,
42, 2),
(10309, 43, 20),
(10309, 71, 3),
(10310, 16, 10),
(10310, 62, 5),
(10311, 42, 6),
(10311, 69, 7),
(10312, 28, 4),
(10312, 43, 24),
(10312, 53, 20),
(10312, 75, 10),
(10313, 36,
12),
(10314, 32, 40),
(10314, 58, 30),
(10314, 62, 25),
(10315, 34, 14),
(10315, 70, 30),
(10316, 41, 10),
(10316, 62,
70),
(10317, 1, 20),
(10318, 41, 20),
(10318, 76, 6),
(10319, 17, 8),
(10319, 28, 14),
(10319, 76, 30),
(10320, 71,
30),
(10321, 35, 10),
(10322, 52, 20),
(10323, 15, 5),
(10323, 25, 4),
(10323, 39, 4),
(10324, 16, 21),
(10324, 35,
70),
(10324, 46, 30),
(10324, 59, 40),
(10324, 63, 80),
(10325, 6, 6),
(10325, 13, 12),
(10325, 14, 9),
(10325, 31, 4),
(10325, 72, 40),
(10326, 4, 24),
(10326, 57, 16),
(10326, 75,
50),
(10327, 2, 25),
(10327, 11, 50),
(10327, 30, 35),
(10327, 58, 30),
(10328, 59, 9),
(10328, 65, 40),
(10328, 68,
10),
(10329, 19, 10),
(10329, 30, 8),
(10329, 38, 20),
(10329, 56, 12),
(10330, 26, 50),
(10330, 72, 25),
(10331, 54,
15),
(10332, 18, 40),
(10332, 42, 10),
(10332, 47, 16),
(10333, 14, 10),
(10333, 21, 10),
(10333, 71, 40),
(10334, 52,
8),
(10334, 68, 10),
(10335, 2, 7),
(10335, 31, 25),
(10335,
32, 6),
(10335, 51, 48),
(10336, 4, 18),
(10337, 23, 40),
(10337, 26, 24),
(10337, 36, 20),
(10337, 37, 28),
(10337, 72,
25),
(10338, 17, 20),
(10338, 30, 15),
(10339, 4, 10),
(10339, 17, 70),
(10339, 62, 28),
(10340, 18, 20),
(10340, 41,
12),
(10340, 43, 40),
(10341, 33, 8),
(10341, 59, 9),
(10342, 2, 24),
(10342, 31, 56),
(10342, 36, 40),
(10342, 55,
40),
(10343, 64, 50),
(10343, 68, 4),
(10343, 76, 15),
(10344, 4, 35),
(10344, 8, 70),
(10345, 8, 70),
(10345, 19,
80),
(10345, 42, 9),
(10346, 17, 36),
(10346, 56, 20),
(10347, 25, 10),
(10347, 39, 50),
(10347, 40, 4),
(10347, 75,
6),
(10348, 1, 15),
(10348, 23, 25),
(10349, 54, 24),
(10350, 50, 15),
(10350, 69, 18),
(10351, 38, 20),
(10351, 41,
13),
(10351, 44, 77),
(10351, 65, 10),
(10352, 24, 10),
(10352, 54, 20),
(10353, 11, 12),
(10353, 38, 50),
(10354, 1,
12),
(10354, 29, 4),
(10355, 24, 25),
(10355, 57, 25),
(10356, 31, 30),
(10356, 55, 12),
(10356, 69, 20),
(10357, 10,
30),
(10357, 26, 16),
(10357, 60, 8),
(10358, 24, 10),
(10358, 34, 10),
(10358, 36, 20),
(10359, 16, 56),
(10359, 31,
70),
(10359, 60, 80),
(10360, 28, 30),
(10360, 29, 35),
(10360, 38, 10),
(10360, 49, 35),
(10360, 54, 28),
(10361, 39,
54),
(10361, 60, 55),
(10362, 25, 50),
(10362, 51, 20),
(10362, 54, 24),
(10363, 31, 20),
(10363, 75, 12),
(10363, 76,
12),
(10364, 69, 30),
(10364, 71, 5),
(10365, 11, 24),
(10366, 65, 5),
(10366, 77, 5),
(10367, 34, 36),
(10367, 54,
18),
(10367, 65, 15),
(10367, 77, 7),
(10368, 21, 5),
(10368, 28, 13),
(10368, 57, 25),
(10368, 64, 35),
(10369, 29,
20),
(10369, 56, 18),
(10370, 1, 15),
(10370, 64, 30),
(10370, 74, 20),
(10371, 36, 6),
(10372, 20, 12),
(10372, 38,
40),
(10372, 60, 70),
(10372, 72, 42),
(10373, 58, 80),
(10373, 71, 50),
(10374, 31, 30),
(10374, 58, 15),
(10375, 14,
15),
(10375, 54, 10),
(10376, 31, 42),
(10377, 28, 20),
(10377, 39, 20),
(10378, 71, 6),
(10379, 41, 8),
(10379, 63,
16),
(10379, 65, 20),
(10380, 30, 18),
(10380, 53, 20),
(10380, 60, 6),
(10380, 70, 30),
(10381, 74, 14),
(10382, 5,
32),
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(11000, 77, 30),
(11001, 7, 60),
(11001, 22,
25),
(11001, 46, 25),
(11001, 55, 6),
(11002, 13, 56),
(11002, 35, 15),
(11002, 42, 24),
(11002, 55, 40),
(11003, 1,
4),
(11003, 40, 10),
(11003, 52, 10),
(11004, 26, 6),
(11004, 76, 6),
(11005, 1, 2),
(11005, 59, 10),
(11006, 1, 8),
(11006, 29, 2),
(11007, 8, 30),
(11007, 29, 10),
(11007, 42,
14),
(11008, 28, 70),
(11008, 34, 90),
(11008, 71, 21),
(11009, 24, 12),
(11009, 36, 18),
(11009, 60, 9),
(11010, 7,
20),
(11010, 24, 10),
(11011, 58, 40),
(11011, 71, 20),
(11012, 19, 50),
(11012, 60, 36),
(11012, 71, 60),
(11013, 23,
10),
(11013, 42, 4),
(11013, 45, 20),
(11013, 68, 2),
(11014, 41, 28),
(11015, 30, 15),
(11015, 77, 18),
(11016, 31,
15),
(11016, 36, 16),
(11017, 3, 25),
(11017, 59, 110),
(11017, 70, 30),
(11018, 12, 20),
(11018, 18, 10),
(11018, 56,
5),
(11019, 46, 3),
(11019, 49, 2),
(11020, 10, 24),
(11021,
2, 11),
(11021, 20, 15),
(11021, 26, 63),
(11021, 51, 44),
(11021, 72, 35),
(11022, 19, 35),
(11022, 69, 30),
(11023, 7,
4),
(11023, 43, 30),
(11024, 26, 12),
(11024, 33, 30),
(11024, 65, 21),
(11024, 71, 50),
(11025, 1, 10),
(11025, 13,
20),
(11026, 18, 8),
(11026, 51, 10),
(11027, 24, 30),
(11027, 62, 21),
(11028, 55, 35),
(11028, 59, 24),
(11029, 56,
20),
(11029, 63, 12),
(11030, 2, 100),
(11030, 5, 70),
(11030, 29, 60),
(11030, 59, 100),
(11031, 1, 45),
(11031, 13,
80),
(11031, 24, 21),
(11031, 64, 20),
(11031, 71, 16),
(11032, 36, 35),
(11032, 38, 25),
(11032, 59, 30),
(11033, 53,
70),
(11033, 69, 36),
(11034, 21, 15),
(11034, 44, 12),
(11034, 61, 6),
(11035, 1, 10),
(11035, 35, 60),
(11035, 42,
30),
(11035, 54, 10),
(11036, 13, 7),
(11036, 59, 30),
(11037, 70, 4),
(11038, 40, 5),
(11038, 52, 2),
(11038, 71,
30),
(11039, 28, 20),
(11039, 35, 24),
(11039, 49, 60),
(11039, 57, 28),
(11040, 21, 20),
(11041, 2, 30),
(11041, 63,
30),
(11042, 44, 15),
(11042, 61, 4),
(11043, 11, 10),
(11044, 62, 12),
(11045, 33, 15),
(11045, 51, 24),
(11046, 12,
20),
(11046, 32, 15),
(11046, 35, 18),
(11047, 1, 25),
(11047, 5, 30),
(11048, 68, 42),
(11049, 2, 10),
(11049, 12,
4),
(11050, 76, 50),
(11051, 24, 10),
(11052, 43, 30),
(11052, 61, 10),
(11053, 18, 35),
(11053, 32, 20),
(11053, 64,
25),
(11054, 33, 10),
(11054, 67, 20),
(11055, 24, 15),
(11055, 25, 15),
(11055, 51, 20),
(11055, 57, 20),
(11056, 7,
40),
(11056, 55, 35),
(11056, 60, 50),
(11057, 70, 3),
(11058, 21, 3),
(11058, 60, 21),
(11058, 61, 4),
(11059, 13,
30),
(11059, 17, 12),
(11059, 60, 35),
(11060, 60, 4),
(11060, 77, 10),
(11061, 60, 15),
(11062, 53, 10),
(11062, 70,
12),
(11063, 34, 30),
(11063, 40, 40),
(11063, 41, 30),
(11064, 17, 77),
(11064, 41, 12),
(11064, 53, 25),
(11064, 55,
4),
(11064, 68, 55),
(11065, 30, 4),
(11065, 54, 20),
(11066, 16, 3),
(11066, 19, 42),
(11066, 34, 35),
(11067, 41,
9),
(11068, 28, 8),
(11068, 43, 36),
(11068, 77, 28),
(11069, 39, 20),
(11070, 1, 40),
(11070, 2, 20),
(11070, 16,
30),
(11070, 31, 20),
(11071, 7, 15),
(11071, 13, 10),
(11072, 2, 8),
(11072, 41, 40),
(11072, 50, 22),
(11072, 64,
130),
(11073, 11, 10),
(11073, 24, 20),
(11074, 16, 14),
(11075, 2, 10),
(11075, 46, 30),
(11075, 76, 2),
(11076, 6,
20),
(11076, 14, 20),
(11076, 19, 10),
(11077, 2, 24),
(11077, 3, 4),
(11077, 4, 1),
(11077, 6, 1),
(11077, 7, 1),
(11077, 8, 2),
(11077, 10, 1),
(11077, 12, 2),
(11077, 13, 4),
(11077, 14, 1),
(11077, 16, 2),
(11077, 20, 1),
(11077, 23, 2),
(11077, 32, 1),
(11077, 39, 2),
(11077, 41, 3),
(11077, 46, 3),
(11077, 52, 2),
(11077, 55, 2),
(11077, 60, 2),
(11077, 64, 2),
(11077, 66, 1),
(11077, 73, 2),
(11077, 75, 4),
(11077, 77, 2);
Result
INSERT 0 2155
The result can also be seen here: Demo Database - order_details
TESTPRODUCTS
We will also add a table called testproducts
for demonstration purposes later in the tutorial.
The following SQL statement will create a table named
testproducts
:
CREATE TABLE testproducts
CREATE TABLE testproducts (
testproduct_id SERIAL NOT NULL
PRIMARY KEY,
product_name VARCHAR(255),
category_id
INT
);
Result
CREATE TABLE
We will fill the table with 10 dummy products:
INSERT INTO testproducts
INSERT INTO testproducts (product_name, category_id)
VALUES
('Johns Fruit Cake', 3),
('Marys Healthy Mix', 9),
('Peters Scary Stuff', 10),
('Jims Secret Recipe', 11),
('Elisabeths Best Apples', 12),
('Janes Favorite Cheese', 4),
('Billys Home Made Pizza', 13),
('Ellas Special Salmon', 8),
('Roberts Rich Spaghetti', 5),
('Mias Popular Ice', 14);
Result
INSERT 0 10
The result can also be seen here: Demo Database - testproducts