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@komuw
Created June 27, 2018 07:26
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different compression sizes
# pre-requistes:
# pip install brotli ; from https://github.com/google/brotli/tree/master/python
# pip install zstandard ; from https://github.com/indygreg/python-zstandard
# pip install python-lzo ; from https://github.com/jd-boyd/python-lzo
# zlib is in the python stdlib
import json
import zlib
import brotli
import zstandard
import lzo
original_session = json.dumps({"key": "value"}) * 4000 # this creates a session that is 64KB.
zlib_compressed_session = zlib.compress(original_session, 9)
cctx_normal = zstandard.ZstdCompressor(level=22)
zstandard_compressed_session = cctx_normal.compress(original_session)
lzo_compressed_session = lzo.compress(original_session)
brotli_compressed_session = brotli.compress(original_session, quality=11)
print "original_session size:", len(original_session)
print "zlib_compressed_session size:", len(zlib_compressed_session)
print "lzo_compressed_session size:", len(lzo_compressed_session)
print "zstandard_compressed_session size:", len(zstandard_compressed_session)
print "brotli_compressed_session size:", len(brotli_compressed_session)```
# Results:
`original_session size: 64000`
`zlib_compressed_session size: 166`
`lzo_compressed_session size: 342`
`zstandard_compressed_session size: 35`
`brotli_compressed_session size: 34`
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komuw commented Feb 18, 2019

original_session = json.dumps({"key": "value"}) * 4000 

this creates a session that lends itself very well for compression(because it contains a lot of repeated data), so we should repeat this experiment with session data that has more random data in it.

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