Compress data over a Stream using the snappy framing format
npm install snappy-stream
snappy is notably faster than gzip (as can be seen in benchmarks).
snappy-stream however is only slightly faster than gzip, because of the overhead of creating a Stream to begin with.
This is the result I'm seeing on my laptop (Macbook Air from 2012) running
node benchmark (for now only testing compression)
passthrough stream (no compression) x 644 ops/sec ±0.90% (84 runs sampled)zlib.createGzip() x 667 ops/sec ±0.50% (89 runs sampled)snappyStream.createCompressStream() x 690 ops/sec ±0.89% (86 runs sampled)
var snappyStream =compressStream = snappyStreamuncompressStream = snappyStreamcompressStreamuncompressStreamcompressStreamcompressStreamcompressStream
Som data from the compressed stream <Buffer ff 06 00 00 73 4e 61 50 70 59>Som data from the compressed stream <Buffer 01 09 00 00 bb 1f 82 a2 68 65 6c 6c 6f>The data that was originally writtenhelloSom data from the compressed stream <Buffer 01 09 00 00 2d 4e 1f a5 77 6f 72 6c 64>The data that was originally writtenworld
The tests are using the https://pypi.python.org/pypi/python-snappy library, so you need to install that first for it to work:
[sudo] pip install python-snappy
You also need to install the snappy library on your machine, using your favourite package manager (e.g.
sudo apt-get install libsnappy-dev or
brew install snappy).
Copyright (c) 2014 David Björklund
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