For Map/Reduce programmers used to HDFS, the mutability of HBase tables poses new challenges: Data can change over the duration of a job, multiple jobs can write concurrently, writes are effective immediately, and it is not trivial to clean up partial writes. Revision Manager introduces atomic commits and point-in-time consistent snapshots over a table, guaranteeing repeatable reads and protection from partial writes. Revision Manager is optimized for a relatively small number of concurrent write jobs, which is typical within Hadoop clusters. This session will discuss the implementation of Revision Manager using ZooKeeper and coprocessors, and paying extra care to ensure security in multi-tenant clusters. Revision Manager is available as part of the HBase storage handler in HCatalog, but can easily be used stand-alone with little coding effort.
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