1. Introduction to Structured Query Language (SQL) By Techandmate.comTechandmate.com Learn SQL Server With US

2. Objectives 2 Explore basic commands and functions of SQL How to use SQL for data administration (to create tables, indexes, and views) How to use SQL for data manipulation (to add, modify, delete, and retrieve data) How to use SQL to query a database to extract useful information

3. Agenda What is SQL ? Data Types Constraints Database Relationships SQL Queries Transact- SQL Commands | DDL, DCL,DML Retrieving Data Customizing Data Grouping Data SQL Operators Joining Data

4. Agenda continue Inserting, Updating and Deleting Data Working With Tables Working with Views Working With Constraints Generating Scripts Working with Stored Procedures Working with Functions

5. Introduction to SQL 5 SQL stands for Structured Query Language. SQL is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems SQL functions fit into two broad categories: Data definition language SQL includes commands to: Create database objects, such as tables, indexes, and views Define access rights to those database objects Data manipulation language Includes commands to insert, update, delete, and retrieve data within database tables

6. SQL Database Objects A SQL Server database has lot of objects like Tables Views Stored Procedures Functions Rules Defaults Cursors Triggers

7. SQL Server Data types Integer: Stores whole number Float: Stores real numbers Text: Stores characters Decimal: Stores real numbers Money: Stores monetary data. Supports 4 places after decimal Date: Stores date and time Binary: Stores images and other large objects Miscellaneous : Different types special to SQL Server.

8. A null value is an unknown Null value is not as zero or space.

9. every value in a column or set of columns must be unique. When there is not the primary key. Example no two employees can have the same phone number

10. The primary key value must be unique and not null. Multiple UNIQUE constraints and only one Primary key in a Table.

11. FOREIGN KEY in one table points to a PRIMARY KEY in another table. prevents that invalid data form being inserted into the foreign key column

12. used to limit the value range that can be placed in a column. Example : A column must only include integers greater than 0

13. used to insert a default value into a column

18. SELECT * | column1 [, column2, …….] FROM table

20. SELECT * | column1 [, column2, …….] FROM table [WHERE conditions]

23. SELECT * | column1 [, column2, …….] FROM table [WHERE conditions] [ORDER BY column1 [, column2, ……..] ASC, DESC]

25. 1 2

28. eliminates duplicate row values from the results Example : the Next Slide

34. SELECT * | column1, group_function (column2), ……. FROM table [WHERE conditions] [GROUP BY column1, ……..] [ORDER BY column1 [, column2, ……..] ASC, DESC]

36. SELECT * | column1, group_function (column2), ……. FROM table [WHERE conditions] [GROUP BY column1, ……..] HAVING [conditions] [ORDER BY column1 [, column2, ……..] ASC, DESC]

39. Arithmetic operators Comparison operators Logical operators Set Operators Other operators

40. addition (+) subtraction (-) multiplication (*) division (/).

41. compare two or more values

43. Used to get a logical value (True or False)

46. EmpLacation Egypt Canada Egypt VacLocation Egypt Canada France Union Egypt Canada France Intersect Egypt Canada Except France

47. USE northwind SELECT (firstname + ' ' + lastname) AS name,city, postalcode FROM employees UNION SELECT companyname, city, postalcode FROM customers GO USE northwind SELECT (firstname + ' ' + lastname) AS name,city, postalcode FROM employees UNION SELECT companyname, city, postalcode FROM customers GO

48. USE northwind SELECT (firstname + ' ' + lastname) AS name,city, postalcode FROM employees INTERSECT SELECT companyname, city, postalcode FROM customers GO USE northwind SELECT (firstname + ' ' + lastname) AS name,city, postalcode FROM employees INTERSECT SELECT companyname, city, postalcode FROM customers GO

49. USE northwind SELECT (firstname + ' ' + lastname) AS name,city, postalcode FROM employees EXCEPT SELECT companyname, city, postalcode FROM customers GO USE northwind SELECT (firstname + ' ' + lastname) AS name,city, postalcode FROM employees EXCEPT SELECT companyname, city, postalcode FROM customers GO

52. Example 1 (without an alias name) Example 2 (with an alias name) USE joindb SELECT buyer_name, s.buyer_id, qty FROM buyers AS b INNER JOIN sales AS s ON b.buyer_id = s.buyer_id GO USE joindb SELECT buyer_name, s.buyer_id, qty FROM buyers AS b INNER JOIN sales AS s ON b.buyer_id = s.buyer_id GO USE joindb SELECT buyer_name, sales.buyer_id, qty FROM buyers INNER JOIN sales ON buyers.buyer_id = sales.buyer_id GO USE joindb SELECT buyer_name, sales.buyer_id, qty FROM buyers INNER JOIN sales ON buyers.buyer_id = sales.buyer_id GO This slide from 2071b from Microsoft

53. Introduction to Joins Using Inner Joins Using Outer Joins Using Cross Joins Joining More Than Two Tables Joining a Table to Itself

54. Selects Specific Columns from Multiple Tables JOIN keyword specifies that tables are joined and how to join them ON keyword specifies join condition Queries Two or More Tables to Produce a Result Set Use primary and foreign keys as join conditions Use columns common to specified tables to join tables

55. SELECT FROM table1 inner join table2 ON (table1.column1 = table2.column2)

56. USE joindb SELECT buyer_name, sales.buyer_id, qty FROM buyers INNER JOIN sales ON buyers.buyer_id = sales.buyer_id GO USE joindb SELECT buyer_name, sales.buyer_id, qty FROM buyers INNER JOIN sales ON buyers.buyer_id = sales.buyer_id GO salesbuyer_idbuyer_idprod_idprod_idqtyqty 1 1 1 1 4 4 3 3 2 2 3 3 1 1 5 5 15 5 5 37 11 4 4 2 2 1003 buyersbuyer_namebuyer_name Adam Barr Sean Chai Eva Corets Erin O’Melia buyer_idbuyer_id 1 1 2 2 3 3 4 4 Resultbuyer_namebuyer_name Adam Barr Erin O’Melia Eva Corets buyer_idbuyer_idqtyqty 1 1 1 1 4 4 3 3 15 5 5 37 11 Erin O’Melia 4 4 1003 Example 1

57. SELECT FROM table1 left outer join table2 ON (table1.column1 = table2.column2)

58. USE joindb SELECT buyer_name, sales.buyer_id, qty FROM buyers LEFT OUTER JOIN sales ON buyers.buyer_id = sales.buyer_id GO USE joindb SELECT buyer_name, sales.buyer_id, qty FROM buyers LEFT OUTER JOIN sales ON buyers.buyer_id = sales.buyer_id GO salesbuyer_idbuyer_idprod_idprod_idqtyqty 1 1 1 1 4 4 3 3 2 2 3 3 1 1 5 5 15 5 5 37 11 4 4 2 2 1003 buyersbuyer_namebuyer_name Adam Barr Sean Chai Eva Corets Erin O’Melia buyer_idbuyer_id 1 1 2 2 3 3 4 4 Result buyer_namebuyer_name Adam Barr Erin O’Melia Eva Corets buyer_idbuyer_idqtyqty 1 1 1 1 4 4 3 3 15 5 5 37 11 Erin O’Melia 4 4 1003 Sean Chai NULL Example 1

59. SELECT FROM table1 right outer join table2 ON (table1.column1 = table2.column2)

60. returns all the rows from the left table, and all the rows from the right table Also it returns rows in the left table that do not have matches in the right table, or if there are rows in right table that do not have matches in the left table.

61. NameID Some11 Some22 Some33 CountryID Loc11 Loc22 Loc44 SELECT a.id,b.id, a.name, b.country FROM LeftTable as a Full Join RightTable as b On a.id = b.id Full Join

62. SELECT a.column, b.column FROM Table1 as a JOIN Table1 as b ON a.column = b.column

63. I want Every Employee Name with his Manager

66. Name Ali Islam Country Egypt Cairo CountryName EgyptAli CairoAli EgyptIslam CairoIslam

67. USE joindb SELECT buyer_name, qty FROM buyers CROSS JOIN sales GO USE joindb SELECT buyer_name, qty FROM buyers CROSS JOIN sales GO Result buyer_namebuyer_name Adam Barr qtyqty 15 5 5 37 11 Adam Barr 1003 Sean Chai 15 Sean Chai 5 5 37 Sean Chai 11 Sean Chai 1003 Eva Corets 15... sales buyer_idbuyer_idprod_idprod_idqtyqty 1 1 1 1 4 4 3 3 2 2 3 3 1 1 5 5 15 5 5 37 11 4 4 2 2 1003 buyers buyer_idbuyer_id 1 1 2 2 3 3 4 4 buyer_namebuyer_name Adam Barr Sean Chai Eva Corets Erin O’Melia Example 1

70. INSERT [INTO] table [column1, column2, ………..] VALUES (value1, value2, ………….. )

71. Inserting Data without columns name

72. Inserting Data with columns name Note : You can verify the result by write SELECT statement.

73. SELECT …… INTO FROM [WHERE ]

77. UPDATE SET column1 = value1 [, column2 = value2, ……] WHERE [conditions]

79. DELETE WHERE [conditions]

81. TRUNCATE Table

83. MERGE INTO table_name table_alias USING (table|view|sub_query) alias ON (join condition) WHEN MATCHED THEN UPDATE SET col1 = col_val1, col2 = col2_val WHEN NOT MATCHED THEN INSERT (column_list) VALUES (column_values);

89. CREATE TABLE ( column1 datatype, column2 datatype,............... (

91. Altering an existing table Using User Interface

92. ALTER TABLE Add colum_name datatype ALTER TABLE ALTER COLUMN colum_name datatype ALTER TABLE DROP COLUMN colum_name datatype

94. Disallow null, and decrease length

96. Dropping an existing table

98. DROP TABLE

101. CREATE VIEW AS Create View LondonEmployees as SELECT EmloyeeId, LastName, FirstName,City, Address FROM Employees

104. Any changes to View that may cause a record disappear from the view, will raises runtime error. Example : Create view SomeOrders as SELECT * FROM Orders where Orders.ShipCity = 'London‘ With Check Option

107. Column- level constraints Table-level constraints

108. Creating tables with constraints

115. add a new constraint

118. Create a new Database >> New Database Attach Existing Database >> Attach

119. removes the database entry from the instance closes all files associated to the database releases all operating system locks Detaching a database

134. Autocommit transactions  The default for SQL Server  Each individual DML or DDL statement is committed when it Completes  You do not have to specify any statements to control transactions Implicit transactions  SET IMPLICIT_TRANSACTIONS ON  Each Transact-SQL statement (INSERT,UPDATE,DELETE) execute as a Transaction Explicit transactions  Starting with BEGIN TRANSACTION Statement

140. SAVE TRANSACTION ROLLBACK TRANSACTION

146. You Can : Contains Statement that Perform Operations Accept input Parameters Return Status Value success or failure Return Multiple Output parameters

147. They are registered (permanently stored) at the server. They can have security attributes (such as permissions). They can enhance the security of your application. They allow modular programming. They are named code and so they allow repeating execution. They can reduce network traffic.

148. User-defined stored procedures System stored procedures

149. CREATE PROC | PROCEDURE [@parameter data_type] AS

152. ALTER PROC | PROCEDURE [@parameter data_type] AS

153. DROP PROC | PROCEDURE

156. User-defined scalar functions Built-in Functions

158. CREATE FUNCTION [(@parameter data_type)] RETURNS return_data_type | table [AS] BEGIN function_code RETURN scalar_expression | select statement END

168. ALTER FUNCTION [(@parameter data_type)] RETURNS return_data_type [AS] BEGIN function_code RETURN scalar_expression END

169. DROP FUNCTION

172. They can query other tables and include complex Transact-SQL statements They can reference columns in other tables with more complex than check

173. CREATE TRIGGER on INSTEAD OF INSERT | UPDATE | DELETE AS BEGIN END

174. INSTEAD OF INSERT triggers INSTEAD OF UPDATE triggers INSTEAD OF DELETE triggers

181. This is not every thing about Transact-SQL This is just an introduction May you read : 2071B Book ( Querying MS SQL Server with Transact-SQL ) 2073A Book( Programming MS SQL Server Database ) MSDN : http://msdn.microsoft.com/en- us/library/aa299742(v=SQL.80).aspxhttp://msdn.microsoft.com/en- us/library/aa299742(v=SQL.80).aspx Google