High-throughput MySQL

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Commodity servers are available with 8 to 32 CPU cores and 10,000 to 100,000 IOPs. MySQL has some work to do to use this capacity efficiently. The database engineering team at Facebook is one of several groups in the MySQL community working to make MySQL faster on hardware like this.

We will describe bottlenecks encountered at Facebook and provide performance results for the changes. We will describe the SQL that reproduces the problems, symptoms from monitoring that identify the problems and the source code in MySQL that causes the problems.

Work done by the Facebook team includes changes to improve thread scheduling, reduce mutex contention, make mutexes more efficient and identify the sources of disk IO.

Photo of Mark Callaghan

Mark Callaghan


Mark leads the MySQL engineering team at Facebook. The team makes MySQL better for a large and critical deployment. The team writes about their work at MySQLatFacebook and publishes patches for MySQL at launchpad.

He previously lead the MySQL engineering team at Google. The team published a popular patch for MySQL that included semi-sync replication, user and table monitoring via SHOW TABLE_STATISTICS and USER_STATISTICS, SMP and IO performance patches for InnoDB, global transaction IDs for replication, row-change logging, transactional replication and many bug fixes.

Prior to Google Mark worked at Identity Engines, Oracle and Informix on database internals. Mark holds an M.S. degree in Computer Science from the University of Wisconsin-Madison. He occasionally writes about MySQL at mysqlha.blogspot.com.

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Ryan Mack


Ryan is a member of the database engineering team at Facebook.

Photo of Ryan McElroy

Ryan McElroy


Ryan is a member of the database engineering team at Facebook.

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Picture of Sheeri K. Cabral
Sheeri K. Cabral
04/21/2010 1:00pm PDT

Video for this presentation is online at www.youtube.com/watch?v=OOm...

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