2013-11-12 19:50:46 +01:00
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<!DOCTYPE html>
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2013-11-15 02:32:29 +01:00
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<html prefix="og: http://ogp.me/ns#">
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2013-11-12 19:50:46 +01:00
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<head>
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<meta charset='utf-8'>
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<title>RocksDB | A persistent key-value store for fast storage environments</title>
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<meta property='og:title' content='RocksDB | A persistent key-value store for fast storage environments'>
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<meta property='og:description' content='A persistent key-value store for fast storage environments'>
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2013-11-13 00:13:05 +01:00
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<meta property='og:image' content='http://rocksdb.org/static/rocksdb.png'>
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2013-11-12 19:50:46 +01:00
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</head>
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<body>
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<header class='topbar'><nav class='width'>
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<a href='index.html'><h1>RocksDB</h1></a>
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<ul>
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<li><a href='overview.html'>Overview</a></li>
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<li><a href='https://github.com/facebook/rocksdb/wiki/_pages'>Wiki</a></li>
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<li><a href='https://github.com/facebook/rocksdb'>GitHub</a>
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</ul>
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</nav></header>
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<header class='hero'><div class='width'>
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<hgroup>
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<h1>
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A persistent key-value store for fast storage environments
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</h1>
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<a class='button' href='overview.html'>Get Started</a>
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</hgroup>
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<aside>
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2013-11-14 05:40:05 +01:00
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<a href='overview.html'>
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<img src='static/rocksdbhero.png' />
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</a>
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2013-11-12 19:50:46 +01:00
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</aside>
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</div></header>
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<section class='content'><div class='width'>
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<article>
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2013-11-14 05:40:05 +01:00
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<h2>What is RocksDB?</h2>
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<p>
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RocksDB is an embeddable persistent key-value store for fast storage. RocksDB
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can also be the foundation for a client-server database but our current focus is
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on embedded workloads.
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</p>
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<p>
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RocksDB builds on <a href='https://code.google.com/p/leveldb/'>LevelDB</a> to be
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scalable to run on servers with many CPU cores, to efficiently use fast storage,
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to support IO-bound, in-memory and write-once workloads, and to be flexible to
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allow for innovation.
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</p>
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2013-11-15 20:34:04 +01:00
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<p>For more background on RocksDB, see <a href="intro.pdf">Dhruba Borthakur's
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introductory talk</a> from the Data @ Scale 2013 conference.</p>
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2013-11-14 05:40:05 +01:00
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<h2>How does performance compare?</h2>
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<p>
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We benchmarked LevelDB and found that it was unsuitable for our server
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workloads. The <a
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href='http://leveldb.googlecode.com/svn/trunk/doc/benchmark.html'> benchmark
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results</a> look awesome at first sight, but we quickly realized that those
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results were for a database whose size was smaller than the size of RAM on the
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test machine - where the entire database could fit in the OS page cache. When we
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performed the same benchmarks on a database that was at least 5 times larger
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than main memory, the performance results were dismal.
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</p>
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<p>
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By contrast, we've published the <a
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href='https://github.com/facebook/rocksdb/wiki/Performance-Benchmarks'> RocksDB
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benchmark results</a> for server side workloads on Flash. We also measured the
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performance of LevelDB on these server-workload benchmarks and found that
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RocksDB solidly outperforms LevelDB for these IO bound workloads. We found that
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LevelDB's single-threaded compaction process was insufficient to drive server
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workloads. We saw frequent write-stalls with LevelDB that caused 99-percentile
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latency to be tremendously large. We found that mmap-ing a file into the OS
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cache introduced performance bottlenecks for reads. We could not make LevelDB
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consume all the IOs offered by the underlying Flash storage.
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</p>
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<h2>What is RocksDB suitable for?</h2>
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<p>
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RocksDB can be used by applications that need low latency database accesses. A
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user-facing application that stores the viewing history and state of users of a
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website can potentially store this content on RocksDB. A spam detection
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application that needs fast access to big data sets can use RocksDB. A
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graph-search query that needs to scan a data set in realtime can use RocksDB.
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RocksDB can be used to cache data from Hadoop, thereby allowing applications to
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query Hadoop data in realtime. A message-queue that supports a high number of
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inserts and deletes can use RocksDB.
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</p>
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<h2>Why is RocksDB open sourced?</h2>
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<p>
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We are open sourcing this project <a
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href='http://github.com/facebook/rocksdb'>on GitHub</a> because we think it will
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be useful beyond Facebook. We are hoping that software programmers and database
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developers will use, enhance, and customize RocksDB for their use-cases. We
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would also like to engage with the academic community on topics related to
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efficiency for modern database algorithms.
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</p>
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2013-11-12 19:50:46 +01:00
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</article>
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<aside>
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<h3>Quick links</h3>
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<ul>
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<li><a href='overview.html'>Overview</a></li>
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<li><a href='https://github.com/facebook/rocksdb/wiki/_pages'>Wiki</a></li>
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<li><a href='https://github.com/facebook/rocksdb'>GitHub</a>
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</ul>
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<h3>Community</h3>
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<ul>
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<li><a href='https://github.com/facebook/rocksdb/issues'>Report an issue</a></li>
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2014-06-03 08:35:23 +02:00
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<li><a href='https://www.facebook.com/groups/rocksdb.dev/'>Developer Discussion Group</a></li>
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2013-11-12 19:50:46 +01:00
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<li><a href='https://www.facebook.com/rocksdb'>Facebook Page</a></li>
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2014-03-19 00:35:43 +01:00
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<li><a href='https://twitter.com/RocksDB'>Twitter</a></li>
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2014-02-26 07:28:00 +01:00
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<li><a href='meetup.html'>Local Meetups</a></li>
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2013-11-12 19:50:46 +01:00
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<li>
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<div class='fb-like'
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data-href='https://www.facebook.com/rocksdb'
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data-layout='button_count' data-action='like'
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data-show-faces='false' data-share='true'></div>
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</li>
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</ul>
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<h3>Open source</h3>
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<ul>
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<li><a href='https://github.com/facebook/rocksdb/blob/master/LICENSE'>BSD license</a></li>
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<li><a href='https://github.com/facebook/rocksdb/blob/master/CONTRIBUTING.md'>Contributing</a></li>
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<li><a href='https://github.com/facebook/rocksdb/blob/master/PATENTS'>Patent grant</a></li>
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</ul>
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</aside>
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</div></section>
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<footer><div class='width'>
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© Copyright 2013, Facebook
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