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SQL200   Based on  SQL Clearly Explained  by Jan Harrington SQL Programming Module  1 – Relational Database Background, Basic Single Table Retrieval Operations
SQL200 P.O. Box 6142 Laguna Niguel, CA 92607 949-489-1472 http://www.d2associates.com [email_address]
SQL Programming ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Programming ,[object Object],[object Object]
Relational Database Evolution ,[object Object],[object Object],[object Object],[object Object]
Relational Database Basics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relational Database Table
Constraints ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relational Database with constraints
Database Management Systems Positioning Chart VLDB Enterprise Workgroup Single user Spreadsheet # Users Cost
System Architecture Access MDB File Server  Architecture Access
System Architecture Oracle DB Visual Basic App Client/Server  Architecture Access  SQL 
System Architecture Oracle DB Browser Web  Architecture Web Server  SQL 
Approaching SQL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Standardization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Conformance ,[object Object],[object Object],[object Object],[object Object]
SQL Statements ,[object Object],[object Object],[object Object],[object Object]
SQL DDL ,[object Object],[object Object],[object Object],[object Object]
SQL DCL ,[object Object],[object Object],[object Object],[object Object]
SQL DML ,[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Statement Processing Parse Validate Optimize Access Plan Execute
Bookstore Sample Database ,[object Object],[object Object],[object Object],[object Object],[object Object]
Text Conventions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Date Conventions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SELECT Basic Syntax ( Projection ): Select <column-list> or <*> From <table-list>
SELECT Basic Example ( Projection ): select   customer_last_name,  customer_street from  customers
MS Access SQL Query
 
SQL Server Query
SELECT with Where Clause Example ( Restriction  plus   Projection ): Select <column-list> From <table-list> Where <selection-criteria>;
SELECT with Where Basic Example ( Restriction plus Projection ): select   customer_last_name,  customer_street from  customers where  customer_last_name = “Jones”
Select with Where
On Your Own ,[object Object],[object Object]
Complex Predicates Follow normal boolean logic Select   customer_last_name,  customer_street From  customers Where  (customer_last_name = ‘Jones’ or customer_last_name = ‘Smith’)and customer_state=‘NY’
Select with Complex Where
Complex Where Result
Special Operators ,[object Object],[object Object],[object Object],[object Object],[object Object]
Like (“Wild Card Matches”) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IN Select  * From  customers Where  customer_last_name in (“Rizzo”, “Jones”, “Garcia”) The list in parentheses can be replaced by a subquery. We will study this later.
SQL Where Clause with IN
IS NULL Select  * From  customers Where  customer_street IS NULL  SQL uses three valued logic. Must use IS NULL to test for unknowns. A null is NOT the same as blank or empty.
On Your Own ,[object Object],[object Object],[object Object]
BETWEEN Select * From orders Where order_date BETWEEN #1/1/99# and #12/31/99# Note: date formats vary from product to product. Above is Access syntax, SQL Server uses single quotes. Ex: ‘1/1/99’
Where with Between
Removing Duplicates Select DISTINCT  customer_city From  customers List once each city in which there are customers Removes duplicate rows from result set
Removing Duplicates
Sorting – ORDER BY DESC will sort in descending order Basic syntax : Select <column list> From <table list> Where <selection criteria> Order by <column list> [DESC]
Sorting – ORDER BY Select  * From  customers Order by  customer_state, customer_city Example: List all records sorted by state, city
Sorting Results with Order By
Selecting Top Records Select Top 5 (or top 25 percent)  Customer_last_name  , contact_zip From  customers Order by customer_zip  desc ; List largest 5 zips or top 25 % of them…
SQL Exercises ,[object Object],[object Object],[object Object],[object Object],[end module]

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