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SQL: Visual QuickStart Guide, Third Edition

Name: SQL: Visual QuickStart Guide, Third Edition
Author: Chris Fehily
ISBN: 9780321584069

by Chris Fehily

June 2008

Beginner

496 pages

10h 41m

English

Peachpit Press

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Copyright
Dedication
Special thanks to...
i. Introduction
About SQLAbout This BookAudienceTypographic conventionsSyntax conventionsUsing SQL with a specific DBMSWhat You’ll Need
1. DBMS Specifics
Running SQL ProgramsMicrosoft AccessMicrosoft SQL ServerSQL Server 2000SQL Server 2005/2008OracleIBM DB2MySQLPostgreSQL
2. The Relational Model
Tables, Columns, and RowsTablesColumnsRowsPrimary KeysForeign KeysRelationshipsOne-to-oneOne-to-manyMany-to-manyNormalizationFirst normal formSecond normal formThird normal formOther normal formsThe Sample DatabaseThe table authorsThe table publishersThe table titlesThe table title_authorsThe table royaltiesCreating the Sample Database
3. SQL Basics
SQL SyntaxSQL Standards and ConformanceIdentifiersData TypesCharacter String TypesBinary Large Object TypeExact Numeric TypesApproximate Numeric TypesBoolean TypeDatetime TypesInterval TypesUnique IdentifiersOther Data TypesNulls
4. Retrieving Data from a Table
Retrieving Columns with SELECT and FROMCreating Column Aliases with ASEliminating Duplicate Rows with DISTINCTSorting Rows with ORDER BYFiltering Rows with WHERECombining and Negating Conditions with AND, OR, and NOTThe AND operatorThe OR operatorThe NOT operatorUsing AND, OR, and NOT togetherMatching Patterns with LIKERange Filtering with BETWEENList Filtering with INTesting for Nulls with IS NULL
5. Operators and Functions
Creating Derived ColumnsPerforming Arithmetic OperationsDetermining the Order of EvaluationConcatenating Strings with ||Extracting a Substring with SUBSTRING()Changing String Case with UPPER() and LOWER()Trimming Characters with TRIM()Finding the Length of a String with CHARACTER_LENGTH()Finding Substrings with POSITION()Performing Datetime and Interval ArithmeticGetting the Current Date and TimeGetting User InformationConverting Data Types with CAST()Evaluating Conditional Values with CASEChecking for Nulls with COALESCE()Comparing Expressions with NULLIF()
6. Summarizing and Grouping Data
Using Aggregate FunctionsCreating Aggregate ExpressionsFinding a Minimum with MIN()Finding a Maximum with MAX()Calculating a Sum with SUM()Calculating an Average with AVG()Counting Rows with COUNT()Aggregating Distinct Values with DISTINCTGrouping Rows with GROUP BYFiltering Groups with HAVING
7. Joins
Qualifying Column NamesCreating Table Aliases with ASUsing JoinsCreating Joins with JOIN or WHERECreating a Cross Join with CROSS JOINCreating a Natural Join with NATURAL JOINCreating an Inner Join with INNER JOINCreating Outer Joins with OUTER JOINCreating a Self-Join

8. Subqueries
Understanding SubqueriesSubquery SyntaxSubqueries vs. JoinsSimple and Correlated SubqueriesSimple subqueriesCorrelated subqueriesQualifying Column Names in SubqueriesNulls in SubqueriesUsing Subqueries as Column ExpressionsComparing a Subquery Value by Using a Comparison OperatorTesting Set Membership with INComparing All Subquery Values with ALLComparing Some Subquery Values with ANYTesting Existence with EXISTSComparing Equivalent Queries
9. Set Operations
Combining Rows with UNIONFinding Common Rows with INTERSECTFinding Different Rows with EXCEPT
10. Inserting, Updating, and Deleting Rows
Displaying Table DefinitionsInserting Rows with INSERTUpdating Rows with UPDATEDeleting Rows with DELETE
11. Creating, Altering, and Dropping Tables
Creating TablesUnderstanding ConstraintsCreating a New Table with CREATE TABLEForbidding Nulls with NOT NULLSpecifying a Default Value with DEFAULTSpecifying a Primary Key with PRIMARY KEYSpecifying a Foreign Key with FOREIGN KEYForcing Unique Values with UNIQUEAdding a Check Constraint with CHECKCreating a Temporary Table with CREATE TEMPORARY TABLECreating a New Table from an Existing One with CREATE TABLE ASAltering a Table with ALTER TABLEDropping a Table with DROP TABLE
12. Indexes
Creating an Index with CREATE INDEXDropping an Index with DROP INDEX
13. Views
Creating a View with CREATE VIEWRetrieving Data Through a ViewUpdating Data Through a ViewInserting a row through a viewUpdating a row through a viewDeleting a row through a viewDropping a View with DROP VIEW
14. Transactions
Executing a Transaction
15. SQL Tricks
Calculating Running StatisticsGenerating SequencesFinding Sequences, Runs, and RegionsLimiting the Number of Rows ReturnedMicrosoft AccessMicrosoft SQL ServerOracleIBM DB2MySQLPostgreSQLAssigning RanksCalculating a Trimmed MeanPicking Random RowsHandling DuplicatesCreating a Telephone ListRetrieving MetadataMicrosoft AccessMicrosoft SQL ServerOracleIBM DB2MySQLPostgreSQLWorking with DatesMicrosoft AccessMicrosoft SQL ServerOracleIBM DB2MySQLPostgreSQLCalculating a MedianFinding Extreme ValuesChanging Running Statistics MidstreamPivoting ResultsWorking with Hierarchies

Content preview from SQL: Visual QuickStart Guide, Third Edition

Chapter 2. The Relational Model

Many good books about database design are available; this book isn’t one of them. Nevertheless, to become a good SQL programmer, you’ll need to become familiar with the relational model (Figure 2.1), a data model so appealingly simple and well suited for organizing and managing data that it squashed the competing network and hierarchical models with a satisfying Darwinian crunch.

You can read E.F. Codd’s A Relational Model of Data for Large Shared Data Banks (Communications of the ACM, Vol. 13, No. 6, June 1970, pp. 377–387) at www.seas.upenn.edu/~zives/03f/cis550/codd.pdf. Relational databases are based on the data model that this paper defines.

Figure 2.1. You can read E.F. Codd’s A Relational Model of Data for Large Shared Data Banks (Communications of the ACM, Vol. 13, No. 6, June 1970, pp. 377–387) at www.seas.upenn.edu/~zives/03f/cis550/codd.pdf. Relational databases are based ...

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SQL: Visual QuickStart Guide, Third Edition

by Chris Fehily

Chapter 2. The Relational Model

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