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MySQL 8 Query Performance Tuning: A Systematic Method for Improving Execution
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Specificaties
- Objectstaat
- Book Title
- MySQL 8 Query Performance Tuning: A Systematic Method for Improv,
- Narrative Type
- MySQL
- Genre
- N/A
- Topic
- MySQL
- Intended Audience
- N/A
- ISBN
- 9781484255834
Over dit product
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484255836
ISBN-13
9781484255834
eBay Product ID (ePID)
14038780876
Product Key Features
Number of Pages
Xxxvii, 965 Pages
Publication Name
Mysql 8 Query Performance Tuning : a Systematic Method for Improving Execution Speeds
Language
English
Subject
Programming / Open Source, Databases / General
Publication Year
2020
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Weight
66 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Part I. Getting Started.- 1. MySQL Performance Tuning.- 2. Query Tuning Methodology.- 3. Benchmarking with Sysbench.- 4. Test Data.- Part II. Sources of Information.- 5. The Performance Schema.- 6. The sys Schema.- 7. The Information Schema.- 8. SHOW Statements.- 9. The Slow Query Log.- Part III. Tools.- 10. MySQL Enterprise Monitor.- 11. MySQL Workbench.- 12. MySQL Shell.- Part IV. Schema Considerations and the Query Optimizer.- 13. Data Types.- 14. Indexes.- 15. Index Statistics.- 16. Histograms.- 17. The Query Optimizer.- 18. Locking Theory and Monitoring.- Part V. Query Analysis.- 19. Finding Candidate Queries for Optimization.- 20. Analyzing Queries.- 21. Transactions.- 22. Diagnosing Lock Contention.- Part VI. Improving the Queries.- 23. Configuration.- 24. Change the Query Plan.- 25. DDL and Bulk Data Load.- 26. Replication.- 27. Caching.
Synopsis
Identify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business. This book will help you make query tuning an integral part of your daily routine through a multi-step process that includes monitoring of execution times, identifying candidate queries for optimization, analyzing their current performance, and improving them to deliver results faster and with less overhead. Author Jesper Krogh systematically discusses each of these steps along with the data sources and the tools used to perform them. MySQL 8 Query Performance Tuning aims to help you improve query performance using a wide range of strategies. You will know how to analyze queries using both the traditional EXPLAIN command as well as the new EXPLAIN ANALYZE tool. You also will see how to use the Visual Explain feature to provide a visually-oriented view of an execution plan. Coverage of indexes includes indexing strategies and index statistics, and you will learn how histograms can be used to provide input on skewed data distributions that the optimizer can use to improve query performance. You will learn about locks, and how to investigate locking issues. And you will come away with an understanding of how the MySQL optimizer works, including the new hash join algorithm, and how to change the optimizer's behavior when needed to deliver faster execution times. You will gain the tools and skills needed to delight application users and to squeeze the most value from corporate computing resources. What You Will Learn Monitor query performance to identify poor performers Choose queries to optimize that will provide the greatest gain Analyze queries using tools such as EXPLAIN ANALYZE and Visual Explain Improve slow queries through a wide range of strategies Properly deploy indexes and histograms to aid in creating fast execution plans Understand and analyze locks to resolve contention and increase throughput Who This Book Is For Database administrators and SQL developers who are familiar with MySQL and need to participate in query turning. While some experience with MySQL is required, no prior knowledge of query performance tuning is needed., Identify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business. This book will help you make query tuning an integral part of your daily routine through a multi-step process that includes monitoring of execution times, identifying candidate queries for optimization, analyzing their current performance, and improving them to deliver results faster and with less overhead. Author Jesper Krogh systematically discusses each of these steps along with the data sources and the tools used to perform them. MySQL 8 Query Performance Tuning aims to help you improve query performance using a wide range of strategies. You will know how to analyze queries using both the traditional EXPLAIN command as well as the new EXPLAIN ANALYZE tool. You also will see how to use the Visual Explain feature to provide a visually-oriented view of an execution plan. Coverage of indexes includes indexing strategies and index statistics, and you will learn how histograms can be used to provide input on skewed data distributions that the optimizer can use to improve query performance. You will learn about locks, and how to investigate locking issues. And you will come away with an understanding of how the MySQL optimizer works, including the new hash join algorithm, and how to change the optimizer's behavior when needed to deliver faster execution times. You will gain the tools and skills needed to delight application users and to squeeze the most value from corporate computing resources. What You Will Learn Monitor query performance to identify poor performers Choose queries to optimize that will provide the greatest gain Analyze queries using tools such as EXPLAIN ANALYZE and Visual Explain Improve slow queries through a wide range of strategies Properly deploy indexes and histograms to aid in creating fast execution plans Understand and analyze locks to resolve contention and increase throughput Who This Book Is For Database administrators and SQL developers who are familiar with MySQL and need to participate in query tuning. While some experience with MySQL is required, no prior knowledge of query performance tuning is needed.
LC Classification Number
QA76.9.D3
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