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Snappy is a data compression library which attempts to sacrifice compressed space efficiency for the sake of compression performance: Snappy is a compression/decompression library. It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression. For instance, compared to the fastest mode of zlib, Snappy is an order of magnitude faster for most inputs, but the resulting compressed files are anywhere from 20% to 100% bigger. On a single core of a Core i7 processor in 64-bit mode, Snappy compresses at about 250 MB/sec or more and decompresses at about 500 MB/sec or more. Snappy is widely used inside Google, in everything from BigTable and MapReduce to the internal RPC systems. (Snappy has previously been referred to as "Zippy" in some presentations and the likes.)
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738 B
Text
13 lines
738 B
Text
Snappy is a compression/decompression library. It does not aim for
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maximum compression, or compatibility with any other compression
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library; instead, it aims for very high speeds and reasonable
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compression. For instance, compared to the fastest mode of zlib,
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Snappy is an order of magnitude faster for most inputs, but the
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resulting compressed files are anywhere from 20% to 100% bigger. On a
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single core of a Core i7 processor in 64-bit mode, Snappy compresses
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at about 250 MB/sec or more and decompresses at about 500 MB/sec or
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more.
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Snappy is widely used inside Google, in everything from BigTable and
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MapReduce to the internal RPC systems. (Snappy has previously been
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referred to as "Zippy" in some presentations and the likes.)
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