SQL server 2022 query performance tuning : Troubleshoot and optimize query performance / Grant Fritchey

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Includes index.

Chapter 1: Query Performance Tuning -- Chapter 2: Execution Plan Generation and the Query Optimizer -- Chapter 3: Methods for Capturing Query Performance Metrics -- Chapter 4: Analyzing Query Behavior Using Execution Plans -- Chapter 5: Statistics, Data Distribution, and Cardinality -- Chapter 6: Using Query Store for Query Performance and Execution Plans -- Chapter 7: Execution Plan Cache Behavior -- Chapter 8: Query Recompilation -- Chapter 9: Index Architecture -- Chapter 10: Index Behaviors -- Chapter 11: Key Lookups and Solutions -- Chapter 12: Dealing with Index Fragmentation -- Chapter 13: Parameter-Sensitive Queries: Causes and Solutions -- Chapter 14: Query Design Analysis -- Chapter 15: Reduce Query Resource Use -- Chapter 16: Blocking and Blocked Processes -- Chapter 17: Causes and Solutions For Deadlocks -- Chapter 18: Row-by-Row Processing from Cursors and Other Causes -- Chapter 19: Memory-Optimized OLTP Tables and Procedures -- Chapter 20: Graph Databases -- Chapter 21: Intelligent Query Processing -- Chapter 22: Automated Tuning in Azure and SQL Server -- Chapter 23: A Query Tuning Methodology.

Troubleshoot slow-performing queries and make them run faster. Database administrators and SQL developers are constantly under pressure to provide more speed. This new edition has been redesigned and rewritten from scratch based on the last 15 years of learning, knowledge, and experience accumulated by the author. The book Includes expanded information on using extended events, automatic execution plan correction, and other advanced features now available in SQL Server. These modern features are covered while still providing the necessary fundamentals to better understand how statistics and indexes affect query performance.The book gives you knowledge and tools to help you identify poorly performing queries and understand the possible causes of that poor performance. The book also provides mechanisms for resolving the issues identified, whether on-premises, in containers, or on cloud platform providers.