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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 SimpleJoins.
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 ORing.
Index Join.
Exercises.
11. Indexes and Reorganization.
Physical Structure of a B-Tree Index.
How the DBMS Finds an Index Row.
What Happens When a Row IS Inserted?
Are Leaf Page Splits Serious?
When Should an Index Be reorganized?
Volatile Index Columns.
Long Index Rows.
Example: Order-Sensitive Batch Job.
Table Rows Stored in Leaf Pages.
Cost of Index Reorganization.
Split Monitoring.
Summary.
12. DBMS-Specific Indexing Restrictions.
Introduction.
Number of Index Columns,
Total Length of the Index Columns.
Variable-Length Columns.
Number of Indexes per Table.
Maximum Index Size.
Index Locking.
Index Row Suppression.
DBMS Index Creation Examples.
13. DBMS-Specific Indexing Options.
Introduction.
Index Row Suppression.
Additional Index Columns After the Index Key.
Constraints to Enforce Uniqueness.
DBMS Able to Read an Index in Both Directions.
Index Key Truncation.
Function-Based Indexes.
Index Skip Scan.
Block Indexes.
Data-Partitioned Secondary Indexes.
Exercises.
14. Optimizers Are Not Perfect.
Introduction.
Optimizers Do Not Always See the Best Alternative.
Optimizers’ Cost Estimates May Be Very Wrong.
Cost Estimate Formulas.
Do Optimizer Problems Affect Index Design?
Exercises.
15. Additional Estimation Considerations.
Assumptions Behind the QUBE Formula.
Nonleaf Index Pages in Memory.
When the Actual Response Time Can Be Much Shorter Than the QUBE.
Estimating CPU Time (CQUBE).
CPU Estimation Examples.
16. Organizing the Index Design Process.
Introduction.
Computer-Assisted Index Design.
Nine Steps Toward Excellent Indexes.
References.
Glossary.
Index.
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Add Relational Database Index Design and the Optimizers, Improve the performance of relational databases with indexes designed for today's hardware Over the last few years, hardware and software have advanced beyond all recognition, so it's hardly surprising that relational database performance now receives , Relational Database Index Design and the Optimizers to the inventory that you are selling on WonderClubX
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Add Relational Database Index Design and the Optimizers, Improve the performance of relational databases with indexes designed for today's hardware Over the last few years, hardware and software have advanced beyond all recognition, so it's hardly surprising that relational database performance now receives , Relational Database Index Design and the Optimizers to your collection on WonderClub |