SQL Tricks (Advanced Database Programming)

This cookbook of advanced techniques is for anyone who knows the basics of SQL and wants to move beyond simple SELECT-FROM-WHERE queries. You'll find solutions to problems that analysts, app developers, and database programmers often face, from simple tasks, like picking random rows, to complex operations, like traversing hierarchies. Each recipe includes a discussion of the underlying logic, important concepts, and best practices. Take full advantage of standard (ANSI/ISO) SQL, or use DBMS-specific features that ... Read More

This cookbook of advanced techniques is for anyone who knows the basics of SQL and wants to move beyond simple SELECT-FROM-WHERE queries. You'll find solutions to problems that analysts, app developers, and database programmers often face, from simple tasks, like picking random rows, to complex operations, like traversing hierarchies. Each recipe includes a discussion of the underlying logic, important concepts, and best practices. Take full advantage of standard (ANSI/ISO) SQL, or use DBMS-specific features that dramatically extend the power of standard SQL. Use the scores of code examples directly in real-world DBMS applications, or as a source of insight for related problems. Covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access. Implement cross-platform solutions in standard SQL, or DBMS-specific solutions for your particular system. SQL code listings help you see the elements and structure of the language. Download the sample database and code listings to follow along with the author's examples. Plenty of tips, tricks, and timesavers. Fully indexed and cross-referenced. Contents Introduction 1. Running SQL Programs 2. Calculating Running Statistics 3. Generating Sequences 4. Finding Sequences, Runs, and Regions 5. Limiting the Number of Rows Returned 6. Assigning Ranks 7. Calculating a Trimmed Mean 8. Picking Random Rows 9. Handling Duplicates 10. Creating a Telephone List 11. Retrieving Metadata 12. Working with Dates 13. Calculating a Median 14. Finding Extreme Values 15. Changing Running Statistics Midstream 16. Pivoting Results 17. Working with Hierarchies About the Author Chris Fehily is a statistician and author based in San Francisco. Read Less