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- 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 queryand 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
- 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 queryand 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
Covers cutting-edge features like Query Store, adaptive execution plans, automated tuning in Azure.
Current with SQL Server 2017, while also covering older editions back to 2012.
Alerts you to changes in the cardinality estimation and query optimization engines that can lead to poor performance.
Describes new tooling introduced in SQL Server 2017 SQL Server Management Studio.
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.
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
XXV
720 S. 342 s/w Illustr. |
ISBN-13: | 9781484288900 |
ISBN-10: | 1484288904 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Fritchey, Grant |
Auflage: | 6th edition |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 40 mm |
Von/Mit: | Grant Fritchey |
Erscheinungsdatum: | 10.11.2022 |
Gewicht: | 1,313 kg |
Covers cutting-edge features like Query Store, adaptive execution plans, automated tuning in Azure.
Current with SQL Server 2017, while also covering older editions back to 2012.
Alerts you to changes in the cardinality estimation and query optimization engines that can lead to poor performance.
Describes new tooling introduced in SQL Server 2017 SQL Server Management Studio.
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.
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
XXV
720 S. 342 s/w Illustr. |
ISBN-13: | 9781484288900 |
ISBN-10: | 1484288904 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Fritchey, Grant |
Auflage: | 6th edition |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 40 mm |
Von/Mit: | Grant Fritchey |
Erscheinungsdatum: | 10.11.2022 |
Gewicht: | 1,313 kg |