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When Facebook first started exploring the next generation of Messages, handling the large data quantity and growth was a primary concern. The current Messages infrastructure handles over 350 million users sending over 15 billion person-to-person messages per month. Our chat service supports over 300 million users who send over 120 billion messages per month. The past storage implementation utilized MySQL, but many limitations arose during scaling. Read-optimized data structures, manual sharding, rigid replication options, and operationally-intensive scaling were MySQL pain points that necessitated a look at alternative storage solutions. We set up test frameworks to evaluate clusters of MySQL, Apache Cassandra, Apache HBase, and a couple of other systems. We ultimately chose HBase as the best solution for our workload.
This is a technically-dense talk that should primarily appeal to software engineers and system architects. No prior knowledge of HBase is necessary, however we expect attendees to have a comfortable knowledge of computer architecture and database fundamentals. The audience should leave with an understanding of the benefits of an HBase datastore solution, how Facebook uses HBase to reach massive scale with reliability, and common APIs / configuration parameters to consider when deploying your own HBase solution.
Nicolas Spiegelberg is a storage engineer in the Facebook messaging team. He helped implement the HBase storage solution for Facebook Messages from design to deployment. Additionally, Nicolas is an HBase committer and PMC, who has contributed many critical features such as HDFS data reliability, Bloom Filters, and an enhanced compaction algorithm.
UA-Huntsville : Masters in Computer Engineering
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