Difference between revisions of "CSC220 Database Management Systems"

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(Important Concepts)
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** Social Networks (Facebook)
 
** Social Networks (Facebook)
 
** YouTube videos
 
** YouTube videos
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* Two kinds of users of a DBMS: Admin and Users
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** Admin create/modify organization of the data (table size, data size, constraints on the data values) = '''Schema''' of the database.
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** Users '''query''' the DB to '''lookup''', '''search''', '''insert''' new data, or '''delete''' new data.  The result (SQL) is presented in the form of temporary tables.
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;Concepts of Transcation and Query
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: A transaction is a group of queries (possibly just one) that should operate atomically and in isolation from one another.  A complete transaction should be '''durable'''.  This means that '''logging''' and '''recovery''' processes are an integral part of a DBMS.
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* DBMS =    { data, metadata, logs, statistics, indexes + data-structures }
  
 
=Example=
 
=Example=

Revision as of 07:46, 6 October 2010

--D. Thiebaut 12:08, 6 October 2010 (UTC)


Important Concepts

  • DBMS = database management system






Definition
A DBMS is a tool for creating and managing large amounts of data efficiently and allowing it to persist over long periods of time, safely.




  • 1970: seminal paper by Ted Codd, where proposition is that DBMS users should see the data as tables, called relations
  • ==> Relational database systems
  • SQL = Structured Query Language
  • 1990: relational database systems are the norm
  • today: DBMS have evolved to new forms (cloud).
  • example of large databases:
    • Google
    • Satellite data
    • Social Networks (Facebook)
    • YouTube videos
  • Two kinds of users of a DBMS: Admin and Users
    • Admin create/modify organization of the data (table size, data size, constraints on the data values) = Schema of the database.
    • Users query the DB to lookup, search, insert new data, or delete new data. The result (SQL) is presented in the form of temporary tables.



Concepts of Transcation and Query
A transaction is a group of queries (possibly just one) that should operate atomically and in isolation from one another. A complete transaction should be durable. This means that logging and recovery processes are an integral part of a DBMS.



  • DBMS = { data, metadata, logs, statistics, indexes + data-structures }

Example

  • Users, purchasing items from a store.
  • 3 tables: users, orders, items

Create Tables

CREATE TABLE `users` (
 `userId` INT(1) NOT NULL AUTO_INCREMENT,
 `userName` VARCHAR(100) DEFAULT NULL,
 PRIMARY KEY  (`userId`)
) ENGINE=MYISAM DEFAULT CHARSET=utf8;


CREATE TABLE `orders` (
 `orderId` INT(1) NOT NULL AUTO_INCREMENT,
 `userId` INT(1) DEFAULT NULL,
 `itemId` INT(1) DEFAULT NULL,
 PRIMARY KEY  (`orderId`)
) ENGINE=MYISAM DEFAULT CHARSET=utf8;


CREATE TABLE `items` (
 `itemId` INT(1) NOT NULL AUTO_INCREMENT,
 `itemName` VARCHAR(100) DEFAULT NULL,
 `price` FLOAT DEFAULT NULL,
 PRIMARY KEY  (`itemId`)
) ENGINE=MYISAM DEFAULT CHARSET=utf8;

Insert Data

  • Add 5 users to the database (Marie, John, Manon, Rob, Elaine)
INSERT INTO `users`(`userId`,`userName`) VALUES ( NULL,'Marie');
INSERT INTO `users`(`userId`,`userName`) VALUES ( NULL,'John');
INSERT INTO `users`(`userId`,`userName`) VALUES ( NULL,'Manon');
INSERT INTO `users`(`userId`,`userName`) VALUES ( NULL,'Rob');
INSERT INTO `users`(`userId`,`userName`) VALUES ( NULL,'Elaine');

  • Add 6 items and their price (pencil, eraser, paper, ink, ruler, markers)
INSERT INTO `items`(`itemId`,`itemName`,`price`) VALUES ( NULL,'pencil','1');
INSERT INTO `items`(`itemId`,`itemName`,`price`) VALUES ( NULL,'erase','0.5');
UPDATE `items` SET `itemId`='2',`itemName`='eraser',`price`='0.5' WHERE `itemId`='2';
INSERT INTO `items`(`itemId`,`itemName`,`price`) VALUES ( NULL,'paper','5');
INSERT INTO `items`(`itemId`,`itemName`,`price`) VALUES ( NULL,'ink','30');
INSERT INTO `items`(`itemId`,`itemName`,`price`) VALUES ( NULL,'ruler','1.5');
INSERT INTO `items`(`itemId`,`itemName`,`price`) VALUES ( NULL,'markers','2.5');

  • Create some user orders of items. e.g. Marie buys a pencil, an eraser, paper, and ink.
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'1','1');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'1','2');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'1','3');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'1','4');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'2','1');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'3','1');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'3','4');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'5','4');
INSERT INTO `orders`(`orderId`,`userId`,`itemId`) VALUES ( NULL,'5','3');

Table-related operations

  • to delete a table: "DROP TABLE"
  • to erase a table without deleting it: "TRUNCATE TABLE"

Some queries

SELECT * FROM `items`;

SELECT `itemName` FROM `items`;

SELECT `itemName` FROM `items`WHERE `itemId`=2;

SELECT * FROM `users` ORDER BY `userName` ASC;

SELECT * FROM `orders` WHERE `userId`=1;

SELECT `itemName` FROM `items` WHERE `itemId` IN ( 1, 2, 3 );

SELECT `itemName` FROM `items` WHERE `itemId` IN ( SELECT `itemId` FROM `orders` WHERE `userId`=1 );

SELECT `itemName` FROM `items` WHERE `itemId` IN ( 
            SELECT `itemId` FROM `orders` WHERE `userId` IN  ( 
                         SELECT `userId` FROM `users` WHERE `userName`='Marie') );