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Scaling your App with MySQL Replication

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Brief introduction to using MySQL Replication to scale your application

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Scaling your App with MySQL Replication

  1. 1. Scaling with MySQL Replication Simon McCartney simon@mccartney.ie @simonmcc
  2. 2. MySQL • MySQL - the M in the LAMP stack • open source • flexible • multi-user • multi-engine • I’m going to talk primarily about 5.0.50ish
  3. 3. What are you trying to solve? • bottle neck? • read or write? • location • availability?
  4. 4. MySQL Replication • Increase select query capacity • Improve data localilty for multi-site environments • Categorise & Prioritise Queries • Bring unknown weirdness
  5. 5. How? • Queries get • tagged with the origin server-id • added to the bin-log • Slave pulls bin-logs, executes queries • also adds to local bin-log
  6. 6. Master/Slave MySQL MySQL MySQL query replication MySQL MySQL Master Slave Slave Slave Slave Writes Reads App
  7. 7. Master/Master query replication MySQL MySQL Master Master query replication read & write read & write App
  8. 8. Hub & Spoke
  9. 9. I have multiple database servers, now what? • select servers at app level • proxy (MySQL Proxy, Zeus ZXTM) • Round Robin DNS
  10. 10. Gotchas • Replication - running & lag? • binlog retention • don’t replicate certain commands
  11. 11. Tools • live topology diagram (perl, GraphViz) • server weighting (memcached & app/proxy) • scripted reseed you’ll do this more often than you expect also handy for building staging/sandboxes
  12. 12. each node here is You can MySQL get really instance crazy
  13. 13. Pretty Pictures communicate issues quicker
  14. 14. Thank you for listening!

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