Book description
- Use Query Store to understand and easily change query performance
- Recognize and eliminate bottlenecks leading to slow performance
- Tune queries whether on-premises, in containers, or on cloud platform providers
- Implement best practices in T-SQL to minimize performance risk
- Design in the performance that you need through careful query and index design
- Understand how built-in, automatic tuning can assist your performance enhancement efforts
- Protect query performance during upgrades to the newer versions of SQL Server
Table of contents
- Cover
- Front Matter
- 1. Query Performance Tuning
- 2. Execution Plan Generation and the Query Optimizer
- 3. Methods for Capturing Query Performance Metrics
- 4. Analyzing Query Behavior Using Execution Plans
- 5. Statistics, Data Distribution, and Cardinality
- 6. Using Query Store for Query Performance and Execution Plans
- 7. Execution Plan Cache Behavior
- 8. Query Recompilation
- 9. Index Architecture
- 10. Index Behaviors
- 11. Key Lookups and Solutions
- 12. Dealing with Index Fragmentation
- 13. Parameter-Sensitive Queries: Causes and Solutions
- 14. Query Design Analysis
- 15. Reduce Query Resource Use
- 16. Blocking and Blocked Processes
- 17. Causes and Solutions For Deadlocks
- 18. Row-by-Row Processing from Cursors and Other Causes
- 19. Memory-Optimized OLTP Tables and Procedures
- 20. Graph Databases
- 21. Intelligent Query Processing
- 22. Automated Tuning in Azure and SQL Server
- 23. A Query Tuning Methodology
- Back Matter
Product information
- Title: SQL Server 2022 Query Performance Tuning: Troubleshoot and Optimize Query Performance
- Author(s):
- Release date: November 2022
- Publisher(s): Apress
- ISBN: 9781484288917
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