000930324 000__ 04907cam\a2200505Ma\4500 000930324 001__ 930324 000930324 005__ 20230306151449.0 000930324 006__ m\\\\\o\\d\\\\\\\\ 000930324 007__ cr\cn\nnnunnun 000930324 008__ 180320s2020\\\\xx\\\\\\o\\\\\000\0\eng\d 000930324 019__ $$a1145597321 000930324 020__ $$a1484255844 000930324 020__ $$a9781484255841 000930324 020__ $$z9781484255841 000930324 0248_ $$a9781484255834 000930324 0248_ $$a9781484255841 000930324 035__ $$aSP(OCoLC)on1147975296 000930324 035__ $$aSP(OCoLC)1147975296$$z(OCoLC)1145597321 000930324 040__ $$aAU@$$beng$$epn$$cAU@$$dEBLCP$$dGW5XE$$dOCLCQ 000930324 049__ $$aISEA 000930324 050_4 $$aQA76.9.D343 000930324 08204 $$a006.3/12$$223 000930324 1001_ $$aKrogh, Jesper,$$eauthor. 000930324 24510 $$aMySQL 8 Query Performance Tuning :$$ba Systematic Method for Improving Execution Speeds /$$cKrogh, Jesper. 000930324 250__ $$a1st edition. 000930324 264_1 $$bApress,$$c2020. 000930324 300__ $$a1 online resource (974 pages) 000930324 336__ $$atext$$btxt$$2rdacontent 000930324 337__ $$acomputer$$bc$$2rdamedia 000930324 338__ $$aonline resource$$bcr$$2rdacarrier 000930324 347__ $$atext file 000930324 5050_ $$aPart 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. 000930324 506__ $$aAccess limited to authorized users. 000930324 520__ $$aIdentify, 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. 000930324 542__ $$fCopyright © Apress$$g2020 000930324 550__ $$aMade available through: Safari, an O'Reilly Media Company. 000930324 588__ $$aOnline resource; Title from title page (viewed March 16, 2020) 000930324 63000 $$aMySQL (Electronic resource) 000930324 650_0 $$aQuerying (Computer science) 000930324 7102_ $$aSafari, an O'Reilly Media Company. 000930324 77608 $$iPrint version:$$aKrogh, Jesper Wisborg.$$tMySQL 8 Query Performance Tuning : A Systematic Method for Improving Execution Speeds.$$dBerkeley, CA : Apress L.P., ©2020$$z9781484255834 000930324 852__ $$bebk 000930324 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-5584-1$$zOnline Access$$91397441.1 000930324 909CO $$ooai:library.usi.edu:930324$$pGLOBAL_SET 000930324 980__ $$aEBOOK 000930324 980__ $$aBIB 000930324 982__ $$aEbook 000930324 983__ $$aOnline 000930324 994__ $$a92$$bISE