How I Used Query Analysis to Speed Up My Applications

Performance Tuning and Benchmarks
Location: Ballroom F Level: Novice
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The focus for this session is the different ways in which you can extract and use the information about queries to help identify and improve the quality of your queries and the structure of your database.

By using real applications and environments the session will detail how I have used different systems to examine the execution of my queries and how I’ve used combinations to help produce a more detailed report on your applications and queries.

Systems covered will included:

  • Using EXPLAIN and how to use it effectively on groups of queries, rather than a single query, to identify problems in the table across a variety of queries, not just individual ones.
  • The slow query log, and how to parse and report on the slow queries so that the key differences and deltas of slow queries are identified, rather than just the occasional query.
  • The Query Analysis system within MySQL Enterprise which can provide reports and highlights for entire applications, individual servers, or both.
  • MySQL Proxy allows you to monitor, record and extrapolate from queries and issues to help highlight and indicate problems. By collating details and combining the
  • DTrace allows you to monitor queries on a running server, without altering or changing your application. By building using some simple techniques you can summarize or highlight problem queries in your application. By using a post-processing system in combination with DTrace you can build a more distinct picture of the issues.

For combinations, the session will examine how different tools can be used to provide different aspects of the problems with your query. For example, EXPLAIN on its own only demonstrates the potential problems with your query. But by combining EXPLAIN with DTrace you can gain a detailed understanding of which parts of the query process are taking the most time. By using this more specific information you can drill down and modify your queries, indexes and tables to achieve the best performance.

The focus will always be on improving the structure of the tables, queries and overall application logic, using the query analysis tools as a guide.

Photo of MC Brown

MC Brown

Sun Microsystems

Martin MC Brown is a Technical Writer for the MySQL team within Sun Microsystems, but spends a lot of his time working with and advising different teams within MySQL on the architecture, implementation and end-user experience of MySQL. He draws on a wide experience of database and application development and large scale deployment of technology in grids and distributed computing environments involving hundreds or thousands of computers working in harmony. Today he spends most of his time developing large scale solutions, techniques for better performance monitoring or writing about it to educate other people.

Co-presented By:

O'Reilly Media MySQL/Sun Microsystems
  • Kickfire
  • Virident
  • Infobright, Inc
  • JasperSoft
  • Intel
  • Advanced Micro Devices
  • BIRT Exchange by Actuate
  • Calpont
  • Canonical
  • Continuent
  • Dolphin Interconnect Solutions
  • Facebook
  • HiT Software, Inc.
  • IBM
  • iDashboards
  • Oracle
  • Pentaho
  • R1Soft
  • Schooner Information Technology
  • SQLstream
  • Ticketmaster
  • Zmanda, Inc.
  • Linux Journal

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