MySQL replication has been a critical part of scaling Facebook’s storage infrastructure. However, it brings with it the fear of divergent replicas. A divergence could be introduced by lost or reordered queries, queries not identically executed on all replicas, or other errors in MySQL. Once a divergence emerges, that divergence may become amplified by future replicated statements.
This session discusses a tool developed at Facebook to detect divergences, identify inconsistent data, and repair defects without having to take any replicas offline. We address challenges posed asynchronous replication that complicate the use of table checksumming tools like Maatkit. We also aim to minimize interference with existing database load and inter-replica network traffic to make the tool suitable for online use.
Finally, we’ll talk about results achieved using this tool.
Daniel Peek works on distributed storage issues at Facebook. Dr. Peek holds a doctorate in Computer Science from the University of Michigan, Ann Arbor.
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