Next Meetup

Scaling a high traffic database: Moving tables across clusters
Bryana Knight from GitHub will present "Scaling a high traffic database: Moving tables across clusters". While GitHub isn't the biggest database around in terms of the amount of data we hold in MySQL, it is among the top 50 busiest sites on the internet. Facing an immediate need to distribute load, we came up with creative ways to move significant amount of traffic off of our main MySQL cluster, with no user impact. Moving 5 of our hottest tables required collaboration between engineers, DBAs and SRE. This talk will describe when and how to do it, and prove it to be an efficient database scalability solution. Moving tables required changes to our database infrastructure as well as our application. I'll explain the impetus for this work and why we did it. We'll walk through the application-level changes that allowed us to change connections while still serving data. Then, I'll discuss the ways we moved tables to different clusters, using MySQL replication, or in some cases, temporary sharding and copying billions of rows. Finally, I'll outline the orchestration of the actual cutovers. ------------- Logistics ------------- MIT's map with the building (E51) highlighted: ( MIT's map with the Kendall square T stop highlighted: ( (the stop is in red on that map, and you can see E51 in the bottom right) MIT's maps with parking lot information: ( and ( Note that MIT lots are free to park in after 3 pm or so, even if it says "reserved for faculty" Free pizza and soda will be served, so please RSVP accurately. To RSVP anonymously, please login to the Meetup site with the e-mail address "admin at sheeri dot com" and the password "guest". For more information, see:

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Meet nearby MySQL Users for conversation and fun! Come to a local MySQL Meetup to talk about the world's most popular open source database, get great tips and share new ideas. All levels of experience welcome!

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