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Scaling your App with MySQL Replication
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Scaling your App with MySQL Replication

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Brief introduction to using MySQL Replication to scale your application

Brief introduction to using MySQL Replication to scale your application

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  • Transcript

    • 1. Scaling with MySQL Replication Simon McCartney simon@mccartney.ie @simonmcc
    • 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. What are you trying to solve? • bottle neck? • read or write? • location • availability?
    • 4. MySQL Replication • Increase select query capacity • Improve data localilty for multi-site environments • Categorise & Prioritise Queries • Bring unknown weirdness
    • 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. Master/Slave MySQL MySQL MySQL query replication MySQL MySQL Master Slave Slave Slave Slave Writes Reads App
    • 7. Master/Master query replication MySQL MySQL Master Master query replication read & write read & write App
    • 8. Hub & Spoke
    • 9. I have multiple database servers, now what? • select servers at app level • proxy (MySQL Proxy, Zeus ZXTM) • Round Robin DNS
    • 10. Gotchas • Replication - running & lag? • binlog retention • don’t replicate certain commands
    • 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. each node here is You can MySQL get really instance crazy
    • 13. Pretty Pictures communicate issues quicker
    • 14. Thank you for listening!

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