Relational Database Index Design and the Optimizers (PDF)

Preface. 1. Introduction. Another Book About SQL Performance! Inadequate Indexing. Myths and Misconceptions. 2. Table and Index Organization. Introduction. Index Rows. Index Structure. Table Row. Buffer Pools and Disk I/Os. Hardware Specifics. DBMS Specifics. 3. SQL Processing. Introduction. Predicates. Optimizers and Access Paths. Filter Factors. Materializing the Result Rows. Exercises. 4. Deriving the Ideal Index for a SELECT. Introduction. Basic Assumptions for Disk and CPU Times. Inadequate Index. Three-Star Index--The Ideal Index for a SELECT. Algorithm to Derive the Best Index for a SELECT. Ideal Index for Every SELECT? Cost of an Additional Index. Recommendation. Exercises. 5. Proactive Index Design. Detection of Inadequate Indexing. Basic Question (BQ). Quick Upper-Bound Estimate (QUBD). Cheapest Adequate Index or Best Possible Index: Example 1. Cheapest Adequate Index or Best Possible Index: Example 2. When to Use the QUBE. 6. Factors Affecting the Index Design Process. I/O Time Estimate Verification. Multiple Thin Index Slices. Difficult Predicates. Filter Factor Pitfall. Filter Factor Pitfall Example. Exercises. 7. Reactive Index Design. Introduction. EXPLAIN Describes the Selected Access Paths. Monitoring Reveals the Reality. LRT-Level Exception Monitoring. Call-Level Exception Monitoring. DBMS-Specific Monitoring Issues. Exercises. 8. Indexing for Table Joins. Introduction. Two Simple Joins. Impact of Table Access Order on Index Design. Basic Joint Question (BJQ). Predicting the Table Access Order. Merge Scan Joins and Hash Joins. Nested-Loop Joins Versus MS/HJ and Ideal Indexes. Joining More Than Two Tables. Why Joins Often Perform Poorly. Designing Indexes for Subqueries. Designing Indexes for Unions. Table Design Considerations. Exercises. 9. Star Join Considerations. Introduction. Indexes on Dimension tables. Huge Impact of the Table Access Order. Indexes on Fact Tables. Summary Tables. 10. Multiple Index Access. Introduction. Index ANDing. Index

Tapio Lahdenmaki received his M.Sc. from the Helsinki Institute of Technology. He worked at IBM for over thirty years, as a Database Specialist since 1975 (first IMS, then DB2 and other relational DBMSs). He has taught hundreds of database performance courses in 20 different countries, and was the main author of IBM's current global courses for DB2 (for z/OS) performance. He is the author and co-author of several books and articles on database performance. Since 2003 he has been an independent consultant on database performance, and teaches a product-independent index design course.

Mike Leach recently retired from a position at IBM, with 20 years experience teaching database classes at IBM locations in the UK and other countries. In 1990, he and Mr. Leach developed?a?DB2 Application Performance course, which is still taught in IBM Education Centers around the world.

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