Microsoft SQL server 2014 query tuning & optimization
著者
書誌事項
Microsoft SQL server 2014 query tuning & optimization
Mcgraw-Hill Education, c2015
- : [pbk.]
- タイトル別名
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Microsoft SQL server 2014 query tuning and optimization
大学図書館所蔵 全1件
注記
Includes bibliographical references (p. [373]-379) and index
内容説明・目次
内容説明
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Optimize Microsoft SQL Server 2014 queries and applicationsMicrosoft SQL Server 2014 Query Tuning & Optimization is filled with ready-to-use techniques for creating high-performance queries and applications. The book describes the inner workings of the query processor so you can write better queries and provide the query processor with the quality information it needs to produce efficient execution plans. You'll also get tips for troubleshooting underperforming queries. In-Memory OLTP (Hekaton), a key new feature of SQL Server 2014, is fully covered in this practical guide.
Understand how the query optimizer works
Troubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other tools
Work with query operators for data access, joins, aggregations, parallelism, and updates
Speed up queries and dramatically improve application performance by creating the right indexes
Understand statistics and how to detect and fix cardinality estimation errors
Maximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored procedures
Monitor and promote plan caching and reuse to improve application performance
Improve the performance of data warehouse queries using columnstore indexes
Handle query processor limitations with hints and other methods
目次
Chapter 1: An Introduction to Query Tuning and Optimization
Chapter 2: Troubleshooting Queries
Chapter 3: The Query Optimizer
Chapter 4: Query Operators
Chapter 5: Indexes
Chapter 6: Statistics
Chapter 7: Hekatron
Chapter 8: Plan Caching
Chapter 9: Data Warehouses
Chapter 10: Query Processor Limitations & Hints
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