Python wrapper around rapidjson
Project description
RapidJSON is an extremely fast C++ JSON serialization library.
We do not support legacy Python versions, you will need to upgrade to Python 3 to use this library.
Latest version documentation is automatically rendered by Read the Docs.
Getting Started
First install python-rapidjson:
$ pip install python-rapidjson
Basic usage looks like this:
>>> import rapidjson
>>> data = {'foo': 100, 'bar': 'baz'}
>>> rapidjson.dumps(data)
'{"bar":"baz","foo":100}'
>>> rapidjson.loads('{"bar":"baz","foo":100}')
{'bar': 'baz', 'foo': 100}
Development
If you want to install the development version (maybe to contribute fixes or enhancements) you may clone the repository:
$ git clone --recursive https://github.com/python-rapidjson/python-rapidjson.git
A set of makefiles implement most common operations, such as build, check and release; see make help output for a list of available targets.
Performance
python-rapidjson tries to be as performant as possible while staying compatible with the json module.
The following tables show a comparison between this module and other libraries with different data sets. Last row (“overall”) is the total time taken by all the benchmarks.
Each number show the factor between the time taken by each contender and python-rapidjson (in other words, they are normalized against a value of 1.0 for python-rapidjson): the lower the number, the speedier the contender.
In bold the winner.
Serialization
serialize |
dumps()[1] |
Encoder()[2] |
dumps(n)[3] |
Encoder(n)[4] |
ujson[5] |
simplejson[6] |
stdlib[7] |
yajl[8] |
---|---|---|---|---|---|---|---|---|
100 arrays dict |
1.00 |
0.99 |
0.73 |
0.77 |
0.97 |
4.82 |
2.27 |
1.37 |
100 dicts array |
1.00 |
1.02 |
0.82 |
0.85 |
0.90 |
5.68 |
2.19 |
1.36 |
256 Trues array |
1.00 |
1.04 |
1.24 |
1.09 |
1.31 |
2.41 |
2.04 |
1.12 |
256 ascii array |
1.00 |
1.01 |
1.04 |
1.09 |
0.49 |
1.01 |
0.95 |
1.08 |
256 doubles array |
1.00 |
1.02 |
1.08 |
1.03 |
6.76 |
7.34 |
6.88 |
3.89 |
256 unicode array |
1.00 |
0.89 |
0.89 |
0.91 |
0.56 |
0.73 |
0.83 |
0.47 |
complex object |
1.00 |
1.01 |
0.85 |
0.82 |
1.04 |
4.11 |
2.62 |
2.16 |
composite object |
1.00 |
1.02 |
0.72 |
0.68 |
0.88 |
2.79 |
1.82 |
1.71 |
overall |
1.00 |
0.99 |
0.73 |
0.78 |
0.97 |
4.81 |
2.27 |
1.36 |
Deserialization
deserialize |
loads()[9] |
Decoder()[10] |
loads(n)[11] |
Decoder(n)[12] |
ujson |
simplejson |
stdlib |
yajl |
---|---|---|---|---|---|---|---|---|
100 arrays dict |
1.00 |
1.00 |
0.90 |
0.90 |
0.95 |
1.60 |
1.11 |
1.18 |
100 dicts array |
1.00 |
1.04 |
0.86 |
0.86 |
0.94 |
2.00 |
1.43 |
1.27 |
256 Trues array |
1.00 |
1.16 |
1.10 |
1.12 |
1.20 |
1.95 |
1.90 |
1.89 |
256 ascii array |
1.00 |
1.02 |
1.02 |
1.02 |
1.39 |
1.14 |
1.25 |
1.62 |
256 doubles array |
1.00 |
0.90 |
0.16 |
0.16 |
0.39 |
0.86 |
0.83 |
0.42 |
256 unicode array |
1.00 |
1.01 |
1.01 |
1.00 |
1.02 |
5.14 |
5.34 |
2.40 |
complex object |
1.00 |
1.01 |
0.73 |
0.73 |
0.88 |
1.60 |
1.14 |
1.20 |
composite object |
1.00 |
1.02 |
0.81 |
0.81 |
0.85 |
1.97 |
1.42 |
1.26 |
overall |
1.00 |
1.00 |
0.90 |
0.90 |
0.95 |
1.61 |
1.12 |
1.18 |
DIY
To run these tests yourself, clone the repo and run:
$ make benchmarks
or
$ make benchmarks-other
The former will focus only on RapidJSON and is particularly handy coupled with the compare past runs functionality of pytest-benchmark:
$ make benchmarks PYTEST_OPTIONS=--benchmark-autosave
# hack, hack, hack!
$ make benchmarks PYTEST_OPTIONS=--benchmark-compare=0001
----------------------- benchmark 'deserialize': 18 tests ------------------------
Name (time in us) Min…
----------------------------------------------------------------------------------
test_loads[rapidjson-256 Trues array] (NOW) 5.2320 (1.0)…
test_loads[rapidjson-256 Trues array] (0001) 5.4180 (1.04)…
…
To reproduce the tables above run make benchmarks-tables
Incompatibility
Here are things in the standard json library supports that we have decided not to support:
- separators argument
This is mostly used for pretty printing and not supported by RapidJSON so it isn’t a high priority. We do support indent kwarg that would get you nice looking JSON anyways.
- Coercing keys when dumping
json will turn True into 'True' if you dump it out but when you load it back in it’ll still be a string. We want the dump and load to return the exact same objects so we have decided not to do this coercion.
Changes
0.2.1 (2017-08-24)
Nothing new, attempt to fix production of Python 3.6 binary wheels
0.2.0 (2017-08-24)
0.1.0 (2017-08-16)
Remove beta status
0.1.0b4 (2017-08-14)
Make execution of the test suite on Appveyor actually happen
0.1.0b3 (2017-08-12)
Exclude CI configurations from the source distribution
0.1.0b2 (2017-08-12)
Fix Powershell wheel upload script in appveyor configuration
0.1.0b1 (2017-08-12)
Compilable with somewhat old g++ (issue #69)
Backward incompatibilities:
all DATETIME_MODE_XXX constants have been shortened to DM_XXX DATETIME_MODE_ISO8601_UTC has been renamed to DM_SHIFT_TO_UTC
all UUID_MODE_XXX constants have been shortened to UM_XXX
New option DM_UNIX_TIME to serialize date, datetime and time values as UNIX timestamps targeting issue #61
New option DM_NAIVE_IS_UTC to treat naïve datetime and time values as if they were in the UTC timezone (also for issue #61)
New keyword argument number_mode to use underlying C library numbers
Binary wheels for GNU/Linux and Windows on PyPI (one would hope: this is the reason for the beta1 release)
0.0.11 (2017-03-05)
Fix a couple of refcount handling glitches, hopefully targeting issue #48.
0.0.10 (2017-03-02)
Fix source distribution to contain all required stuff (PR #64)
0.0.9 (2017-03-02)
0.0.8 (2016-12-09)
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