simdjson bindings for python

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  • License: MIT License
  • Author: Tyler Kennedy
  • Tags json, simdjson, simd
  • Requires: Python >3.4
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pysimdjson

Python bindings for the simdjson project, a SIMD-accelerated JSON parser. If SIMD instructions are unavailable a fallback parser is used, making pysimdjson safe to use anywhere.

Bindings are currently tested on OS X, Linux, and Windows for Python version 3.5 to 3.9.

🎉 Installation

If binary wheels are available for your platform, you can install from pip with no further requirements:

pip install pysimdjson

Binary wheels are available for the following:

py3.5 py3.6 py3.7 py3.8 pypy3
OS X (x86_64) y y y y y
Windows (x86_64) x x y y x
Linux (x86_64) y y y y x
Linux (ARM64) y y y y x

If binary wheels are not available for your platform, you'll need a C++11-capable compiler to compile the sources:

pip install 'pysimdjson[dev]' --no-binary :all:

Both simddjson and pysimdjson support FreeBSD and Linux on ARM when built from source.

⚗ Development and Testing

This project comes with a full test suite. To install development and testing dependencies, use:

pip install -e ".[dev]"

To also install 3rd party JSON libraries used for running benchmarks, use:

pip install -e ".[benchmark]"

To run the tests, just type pytest. To also run the benchmarks, use pytest --runslow.

To properly test on Windows, you need both a recent version of Visual Studio (VS) as well as VS2015, patch 3. Older versions of CPython required portable C/C++ extensions to be built with the same version of VS as the interpreter. Use the Developer Command Prompt to easily switch between versions.

How It Works

This project uses pybind11 to generate the low-level bindings on top of the simdjson project. You can use it just like the built-in json module, or use the simdjson-specific API for much better performance.

import simdjson
doc = simdjson.loads('{"hello": "world"}')

🚀 Making things faster

pysimdjson provides an api compatible with the built-in json module for convenience, and this API is pretty fast (beating or tying all other Python JSON libraries). However, it also provides a simdjson-specific API that can perform significantly better.

Don't load the entire document

95% of the time spent loading a JSON document into Python is spent in the creation of Python objects, not the actual parsing of the document. You can avoid all of this overhead by ignoring parts of the document you don't want.

pysimdjson supports this in two ways - the use of JSON pointers via at(), or proxies for objects and lists.

import simdjson
parser = simdjson.Parser()
doc = parser.parse(b'{"res": [{"name": "first"}, {"name": "second"}]')

For our sample above, we really just want the second entry in res, we don't care about anything else. We can do this two ways:

assert doc['res'][1]['name'] == 'second' # True
assert doc.at('res/1/name') == 'second' # True

Both of these approaches will be much faster than using load/s(), since they avoid loading the parts of the document we didn't care about.

Both Object and Array have a mini property that returns their entire content as a minified Python str. A message router for example would only parse the document and retrieve a single property, the destination, and forward the payload without ever turning it into a Python object. Here's a (bad) example:

import simdjson

@app.route('/store', methods=['POST'])
def store():
    parser = simdjson.Parser()
    doc = parser.parse(request.data)
    redis.set(doc['key'], doc.mini)

With this, doc could contain thousands of objects, but the only one loaded into a python object was key, and we even minified the content as we went.

Re-use the parser.

One of the easiest performance gains if you're working on many documents is to re-use the parser.

import simdjson
parser = simdjson.Parser()

for i in range(0, 100):
    doc = parser.parse(b'{"a": "b"}')

This will drastically reduce the number of allocations being made, as it will reuse the existing buffer when possible. If it's too small, it'll grow to fit.

📈 Benchmarks

pysimdjson compares well against most libraries for the default load/loads(), which creates full python objects immediately.

pysimdjson performs significantly better when only part of the document is of interest. For each test file we show the time taken to completely deserialize the document into Python objects, as well as the time to get the deepest key in each file. The second approach avoids all unnecessary object creation.

jsonexamples/canada.json deserialization

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{canada} 10.61630 27.12380 0.00442 58.42790
orjson-{canada} 11.97230 29.95960 0.00469 56.21902
ujson-{canada} 19.12120 60.73670 0.01320 26.66618
simplejson-{canada} 39.64180 59.80270 0.00535 20.51313
rapidjson-{canada} 40.57460 78.20690 0.01444 17.10311
json-{canada} 42.95370 62.18130 0.00470 20.21549

jsonexamples/canada.json deepest key

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{canada} 3.38440 7.60380 0.00071 255.69203
ujson-{canada} 11.10420 34.35320 0.00742 49.72907
orjson-{canada} 12.92510 45.33800 0.00745 41.44936
simplejson-{canada} 38.92410 64.06250 0.00856 19.70330
rapidjson-{canada} 41.22570 66.68340 0.00756 19.22791
json-{canada} 43.08250 64.75990 0.00661 18.15876

jsonexamples/twitter.json deserialization

Name Min (μs) Max (μs) StdDev Ops
orjson-{twitter} 2.29380 8.67020 0.00094 372.10773
✨ simdjson-{twitter} 2.49010 22.30540 0.00198 281.95565
ujson-{twitter} 2.74350 12.06470 0.00105 317.20009
simplejson-{twitter} 3.35320 19.56840 0.00202 217.32882
rapidjson-{twitter} 4.32850 13.21370 0.00119 194.83892
json-{twitter} 5.27190 11.25140 0.00117 167.84380

jsonexamples/twitter.json deepest key

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{twitter} 0.35740 2.01060 0.00009 2423.86485
orjson-{twitter} 2.29750 11.01000 0.00105 366.48762
ujson-{twitter} 2.76260 14.13210 0.00143 285.69895
simplejson-{twitter} 3.35340 13.34750 0.00118 257.05624
rapidjson-{twitter} 4.31330 12.43220 0.00141 192.75979
json-{twitter} 5.23560 13.85480 0.00126 168.04882

jsonexamples/github_events.json deserialization

Name Min (μs) Max (μs) StdDev Ops
orjson-{github_events} 0.17850 0.62230 0.00002 5331.74983
✨ simdjson-{github_events} 0.19760 2.36700 0.00009 3905.95971
ujson-{github_events} 0.25860 0.67530 0.00003 3642.89767
json-{github_events} 0.28910 1.09600 0.00009 2924.08415
simplejson-{github_events} 0.30620 1.29520 0.00005 3007.32539
rapidjson-{github_events} 0.33290 1.15310 0.00006 2654.55940

jsonexamples/github_events.json deepest key

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{github_events} 0.03950 3.31210 0.00005 15973.82108
orjson-{github_events} 0.18030 0.65220 0.00005 4911.43253
ujson-{github_events} 0.26070 0.96760 0.00005 3549.92113
json-{github_events} 0.29040 1.54090 0.00007 3047.37921
simplejson-{github_events} 0.30920 0.98670 0.00008 2953.84031
rapidjson-{github_events} 0.33390 1.56730 0.00010 2461.45389

jsonexamples/citm_catalog.json deserialization

Name Min (μs) Max (μs) StdDev Ops
orjson-{citm_catalog} 5.24950 18.22640 0.00323 129.49044
✨ simdjson-{citm_catalog} 6.05650 29.15550 0.00584 70.17580
ujson-{citm_catalog} 6.24130 18.69410 0.00373 109.60956
json-{citm_catalog} 9.10930 26.54630 0.00414 76.55235
simplejson-{citm_catalog} 13.69630 28.63450 0.00401 57.28718
rapidjson-{citm_catalog} 21.78300 65.30240 0.01055 28.63350

jsonexamples/citm_catalog.json deepest key

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{citm_catalog} 0.87070 2.86480 0.00019 1056.22226
orjson-{citm_catalog} 5.40520 26.24650 0.00551 102.43563
ujson-{citm_catalog} 6.38280 26.49210 0.00562 96.65066
json-{citm_catalog} 9.16770 29.45910 0.00498 76.90314
simplejson-{citm_catalog} 13.66750 30.54480 0.00471 57.54416
rapidjson-{citm_catalog} 19.16620 49.23040 0.00714 36.04769

jsonexamples/mesh.json deserialization

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{mesh} 2.60850 17.85500 0.00189 276.39681
ujson-{mesh} 2.80000 11.36520 0.00148 297.40696
orjson-{mesh} 2.87780 14.34770 0.00156 272.06333
json-{mesh} 5.69520 22.03140 0.00282 132.44125
rapidjson-{mesh} 7.28240 24.61470 0.00249 113.59051
simplejson-{mesh} 8.37720 18.80480 0.00201 104.81092

jsonexamples/mesh.json deepest key

Name Min (μs) Max (μs) StdDev Ops
✨ simdjson-{mesh} 1.01600 12.12980 0.00067 619.16472
ujson-{mesh} 2.75500 14.19920 0.00166 309.06497
orjson-{mesh} 2.84420 24.41680 0.00248 245.50994
json-{mesh} 5.63860 14.53620 0.00160 154.31889
rapidjson-{mesh} 7.11940 18.68600 0.00208 117.20282
simplejson-{mesh} 8.27930 19.76000 0.00207 106.66946

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  • License: MIT License
  • Author: Tyler Kennedy
  • Tags json, simdjson, simd
  • Requires: Python >3.4
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