From ded52a72a49e398ce594a9b20086538b856aa16e Mon Sep 17 00:00:00 2001 From: ijl Date: Sat, 23 Nov 2024 18:44:37 +0000 Subject: [PATCH] Documentation update, compare against stdlib --- README.md | 359 +++++++++++------------------------ bench/data.py | 22 --- bench/requirements.txt | 5 +- bench/run_mem | 6 - doc/deserialization.png | Bin 124044 -> 108565 bytes doc/serialization.png | Bin 129229 -> 110402 bytes integration/requirements.txt | 2 +- pyproject.toml | 2 +- requirements.txt | 2 +- script/graph | 2 +- script/lint | 2 +- script/pycorrectness | 8 +- script/pydataclass | 33 +--- script/pyindent | 29 +-- script/pymem | 34 ---- script/pynonstr | 40 +--- script/pynumpy | 15 +- script/pysort | 32 +--- 18 files changed, 119 insertions(+), 474 deletions(-) delete mode 100755 script/pymem diff --git a/README.md b/README.md index 398c1fd3..75b1d4f2 100644 --- a/README.md +++ b/README.md @@ -9,28 +9,17 @@ third-party libraries. It serializes [numpy](https://github.com/ijl/orjson?tab=readme-ov-file#numpy), and [UUID](https://github.com/ijl/orjson?tab=readme-ov-file#uuid) instances natively. -Its features and drawbacks compared to other Python JSON libraries: - -* serializes `dataclass` instances 40-50x as fast as other libraries -* serializes `datetime`, `date`, and `time` instances to RFC 3339 format, -e.g., "1970-01-01T00:00:00+00:00" -* serializes `numpy.ndarray` instances 4-12x as fast with 0.3x the memory -usage of other libraries -* pretty prints 10x to 20x as fast as the standard library -* serializes to `bytes` rather than `str`, i.e., is not a drop-in replacement -* serializes `str` without escaping unicode to ASCII, e.g., "好" rather than -"\\\u597d" -* serializes `float` 10x as fast and deserializes twice as fast as other -libraries -* serializes subclasses of `str`, `int`, `list`, and `dict` natively, -requiring `default` to specify how to serialize others -* serializes arbitrary types using a `default` hook -* has strict UTF-8 conformance, more correct than the standard library -* has strict JSON conformance in not supporting Nan/Infinity/-Infinity -* has an option for strict JSON conformance on 53-bit integers with default -support for 64-bit -* does not provide `load()` or `dump()` functions for reading from/writing to -file-like objects +[orjson.dumps()](https://github.com/ijl/orjson?tab=readme-ov-file#serialize) is +something like 10x as fast as `json`, serializes +common types and subtypes, has a `default` parameter for the caller to specify +how to serialize arbitrary types, and has a number of flags controlling output. + +[orjson.loads()](https://github.com/ijl/orjson?tab=readme-ov-file#deserialize) +is something like 2x as fast as `json`, and is strictly compliant with UTF-8 and +RFC 8259 ("The JavaScript Object Notation (JSON) Data Interchange Format"). + +Reading from and writing to files, line-delimited JSON files, and so on is +not provided by the library. orjson supports CPython 3.8, 3.9, 3.10, 3.11, 3.12, 3.13, and 3.14. @@ -72,8 +61,7 @@ available in the repository. 3. [Testing](https://github.com/ijl/orjson?tab=readme-ov-file#testing) 4. [Performance](https://github.com/ijl/orjson?tab=readme-ov-file#performance) 1. [Latency](https://github.com/ijl/orjson?tab=readme-ov-file#latency) - 2. [Memory](https://github.com/ijl/orjson?tab=readme-ov-file#memory) - 3. [Reproducing](https://github.com/ijl/orjson?tab=readme-ov-file#reproducing) + 2. [Reproducing](https://github.com/ijl/orjson?tab=readme-ov-file#reproducing) 5. [Questions](https://github.com/ijl/orjson?tab=readme-ov-file#questions) 6. [Packaging](https://github.com/ijl/orjson?tab=readme-ov-file#packaging) 7. [License](https://github.com/ijl/orjson?tab=readme-ov-file#license) @@ -87,13 +75,13 @@ To install a wheel from PyPI, install the `orjson` package. In `requirements.in` or `requirements.txt` format, specify: ```txt -orjson>=3.10,<4 +orjson >= 3.10,<4 ``` -In Poetry, specify: +In `pyproject.toml` format, specify: ```toml -orjson = "^3" +orjson = "^3.10" ``` To build a wheel, see [packaging](https://github.com/ijl/orjson?tab=readme-ov-file#packaging). @@ -130,13 +118,18 @@ implementations in a `default` function and options enabling them can be removed but do not need to be. There was no change in deserialization. To migrate from the standard library, the largest difference is that -`orjson.dumps` returns `bytes` and `json.dumps` returns a `str`. Users with -`dict` objects using non-`str` keys should specify -`option=orjson.OPT_NON_STR_KEYS`. `sort_keys` is replaced by -`option=orjson.OPT_SORT_KEYS`. `indent` is replaced by -`option=orjson.OPT_INDENT_2` and other levels of indentation are not +`orjson.dumps` returns `bytes` and `json.dumps` returns a `str`. + +Users with `dict` objects using non-`str` keys should specify `option=orjson.OPT_NON_STR_KEYS`. + +`sort_keys` is replaced by `option=orjson.OPT_SORT_KEYS`. + +`indent` is replaced by `option=orjson.OPT_INDENT_2` and other levels of indentation are not supported. +`ensure_ascii` is probably not relevant today and UTF-8 characters cannot be +escaped to ASCII. + ### Serialize ```python @@ -222,7 +215,7 @@ Python otherwise implicitly returns `None`, which appears to the caller like a legitimate value and is serialized: ```python ->>> import orjson, json, rapidjson +>>> import orjson, json >>> def default(obj): if isinstance(obj, decimal.Decimal): @@ -232,8 +225,6 @@ def default(obj): b'{"set":null}' >>> json.dumps({"set":{1, 2}}, default=default) '{"set":null}' ->>> rapidjson.dumps({"set":{1, 2}}, default=default) -'{"set":null}' ``` #### option @@ -293,25 +284,19 @@ If displayed, the indentation and linebreaks appear like this: This measures serializing the github.json fixture as compact (52KiB) or pretty (64KiB): -| Library | compact (ms) | pretty (ms) | vs. orjson | -|------------|----------------|---------------|--------------| -| orjson | 0.03 | 0.04 | 1 | -| ujson | 0.18 | 0.19 | 4.6 | -| rapidjson | 0.1 | 0.12 | 2.9 | -| simplejson | 0.25 | 0.89 | 21.4 | -| json | 0.18 | 0.71 | 17 | +| Library | compact (ms) | pretty (ms) | vs. orjson | +|-----------|----------------|---------------|--------------| +| orjson | 0.01 | 0.02 | 1 | +| json | 0.13 | 0.54 | 34 | This measures serializing the citm_catalog.json fixture, more of a worst case due to the amount of nesting and newlines, as compact (489KiB) or pretty (1.1MiB): -| Library | compact (ms) | pretty (ms) | vs. orjson | -|------------|----------------|---------------|--------------| -| orjson | 0.59 | 0.71 | 1 | -| ujson | 2.9 | 3.59 | 5 | -| rapidjson | 1.81 | 2.8 | 3.9 | -| simplejson | 10.43 | 42.13 | 59.1 | -| json | 4.16 | 33.42 | 46.9 | +| Library | compact (ms) | pretty (ms) | vs. orjson | +|-----------|----------------|---------------|--------------| +| orjson | 0.25 | 0.45 | 1 | +| json | 3.01 | 24.42 | 54.4 | This can be reproduced using the `pyindent` script. @@ -386,18 +371,14 @@ single integer. In "str keys", the keys were converted to `str` before serialization, and orjson still specifes `option=orjson.OPT_NON_STR_KEYS` (which is always somewhat slower). -| Library | str keys (ms) | int keys (ms) | int keys sorted (ms) | -|------------|-----------------|-----------------|------------------------| -| orjson | 1.53 | 2.16 | 4.29 | -| ujson | 3.07 | 5.65 | | -| rapidjson | 4.29 | | | -| simplejson | 11.24 | 14.50 | 21.86 | -| json | 7.17 | 8.49 | | +| Library | str keys (ms) | int keys (ms) | int keys sorted (ms) | +|-----------|-----------------|-----------------|------------------------| +| orjson | 0.5 | 0.93 | 2.08 | +| json | 2.72 | 3.59 | | -ujson is blank for sorting because it segfaults. json is blank because it +json is blank because it raises `TypeError` on attempting to sort before converting all keys to `str`. -rapidjson is blank because it does not support non-`str` keys. This can -be reproduced using the `pynonstr` script. +This can be reproduced using the `pynonstr` script. ##### OPT_OMIT_MICROSECONDS @@ -539,13 +520,10 @@ b'{"a":3,"b":1,"c":2}' This measures serializing the twitter.json fixture unsorted and sorted: -| Library | unsorted (ms) | sorted (ms) | vs. orjson | -|------------|-----------------|---------------|--------------| -| orjson | 0.32 | 0.54 | 1 | -| ujson | 1.6 | 2.07 | 3.8 | -| rapidjson | 1.12 | 1.65 | 3.1 | -| simplejson | 2.25 | 3.13 | 5.8 | -| json | 1.78 | 2.32 | 4.3 | +| Library | unsorted (ms) | sorted (ms) | vs. orjson | +|-----------|-----------------|---------------|--------------| +| orjson | 0.11 | 0.3 | 1 | +| json | 1.36 | 1.93 | 6.4 | The benchmark can be reproduced using the `pysort` script. @@ -557,8 +535,7 @@ The sorting is not collation/locale-aware: b'{"A":3,"a":1,"\xc3\xa4":2}' ``` -This is the same sorting behavior as the standard library, rapidjson, -simplejson, and ujson. +This is the same sorting behavior as the standard library. `dataclass` also serialize as maps but this has no effect on them. @@ -607,8 +584,6 @@ not valid UTF-8. It otherwise does no validation and it is possible to write invalid JSON. This does not escape characters. The implementation is tested to not crash if given invalid strings or invalid JSON. -This is similar to `RawJSON` in rapidjson. - ### Deserialize ```python @@ -655,13 +630,10 @@ using `__slots__`, frozen dataclasses, those with optional or default attributes, and subclasses. There is a performance benefit to not using `__slots__`. -| Library | dict (ms) | dataclass (ms) | vs. orjson | -|------------|-------------|------------------|--------------| -| orjson | 1.40 | 1.60 | 1 | -| ujson | | | | -| rapidjson | 3.64 | 68.48 | 42 | -| simplejson | 14.21 | 92.18 | 57 | -| json | 13.28 | 94.90 | 59 | +| Library | dict (ms) | dataclass (ms) | vs. orjson | +|-----------|-------------|------------------|--------------| +| orjson | 0.43 | 0.95 | 1 | +| json | 5.81 | 38.32 | 40 | This measures serializing 555KiB of JSON, orjson natively and other libraries using `default` to serialize the output of `dataclasses.asdict()`. This can be @@ -790,13 +762,9 @@ precision and consistent rounding. compliant JSON, as `null`: ```python ->>> import orjson, ujson, rapidjson, json +>>> import orjson, json >>> orjson.dumps([float("NaN"), float("Infinity"), float("-Infinity")]) b'[null,null,null]' ->>> ujson.dumps([float("NaN"), float("Infinity"), float("-Infinity")]) -OverflowError: Invalid Inf value when encoding double ->>> rapidjson.dumps([float("NaN"), float("Infinity"), float("-Infinity")]) -'[NaN,Infinity,-Infinity]' >>> json.dumps([float("NaN"), float("Infinity"), float("-Infinity")]) '[NaN, Infinity, -Infinity]' ``` @@ -887,38 +855,28 @@ If an array is malformed, `orjson.JSONEncodeError` is raised. This measures serializing 92MiB of JSON from an `numpy.ndarray` with dimensions of `(50000, 100)` and `numpy.float64` values: -| Library | Latency (ms) | RSS diff (MiB) | vs. orjson | -|------------|----------------|------------------|--------------| -| orjson | 194 | 99 | 1.0 | -| ujson | | | | -| rapidjson | 3,048 | 309 | 15.7 | -| simplejson | 3,023 | 297 | 15.6 | -| json | 3,133 | 297 | 16.1 | +| Library | Latency (ms) | RSS diff (MiB) | vs. orjson | +|-----------|----------------|------------------|--------------| +| orjson | 105 | 105 | 1 | +| json | 1,481 | 295 | 14.2 | This measures serializing 100MiB of JSON from an `numpy.ndarray` with dimensions of `(100000, 100)` and `numpy.int32` values: -| Library | Latency (ms) | RSS diff (MiB) | vs. orjson | -|------------|----------------|------------------|--------------| -| orjson | 178 | 115 | 1.0 | -| ujson | | | | -| rapidjson | 1,512 | 551 | 8.5 | -| simplejson | 1,606 | 504 | 9.0 | -| json | 1,506 | 503 | 8.4 | +| Library | Latency (ms) | RSS diff (MiB) | vs. orjson | +|-----------|----------------|------------------|--------------| +| orjson | 68 | 119 | 1 | +| json | 684 | 501 | 10.1 | This measures serializing 105MiB of JSON from an `numpy.ndarray` with dimensions of `(100000, 200)` and `numpy.bool` values: -| Library | Latency (ms) | RSS diff (MiB) | vs. orjson | -|------------|----------------|------------------|--------------| -| orjson | 157 | 120 | 1.0 | -| ujson | | | | -| rapidjson | 710 | 327 | 4.5 | -| simplejson | 931 | 398 | 5.9 | -| json | 996 | 400 | 6.3 | +| Library | Latency (ms) | RSS diff (MiB) | vs. orjson | +|-----------|----------------|------------------|--------------| +| orjson | 50 | 125 | 1 | +| json | 573 | 398 | 11.5 | -In these benchmarks, orjson serializes natively, ujson is blank because it -does not support a `default` parameter, and the other libraries serialize +In these benchmarks, orjson serializes natively and `json` serializes `ndarray.tolist()` via `default`. The RSS column measures peak memory usage during serialization. This can be reproduced using the `pynumpy` script. @@ -936,25 +894,14 @@ If `orjson.dumps()` is given a `str` that does not contain valid UTF-8, `orjson.JSONEncodeError` is raised. If `loads()` receives invalid UTF-8, `orjson.JSONDecodeError` is raised. -orjson and rapidjson are the only compared JSON libraries to consistently -error on bad input. - ```python ->>> import orjson, ujson, rapidjson, json +>>> import orjson, json >>> orjson.dumps('\ud800') JSONEncodeError: str is not valid UTF-8: surrogates not allowed ->>> ujson.dumps('\ud800') -UnicodeEncodeError: 'utf-8' codec ... ->>> rapidjson.dumps('\ud800') -UnicodeEncodeError: 'utf-8' codec ... >>> json.dumps('\ud800') '"\\ud800"' >>> orjson.loads('"\\ud800"') JSONDecodeError: unexpected end of hex escape at line 1 column 8: line 1 column 1 (char 0) ->>> ujson.loads('"\\ud800"') -'' ->>> rapidjson.loads('"\\ud800"') -ValueError: Parse error at offset 1: The surrogate pair in string is invalid. >>> json.loads('"\\ud800"') '\ud800' ``` @@ -978,8 +925,6 @@ orjson serializes `uuid.UUID` instances to ``` python >>> import orjson, uuid ->>> orjson.dumps(uuid.UUID('f81d4fae-7dec-11d0-a765-00a0c91e6bf6')) -b'"f81d4fae-7dec-11d0-a765-00a0c91e6bf6"' >>> orjson.dumps(uuid.uuid5(uuid.NAMESPACE_DNS, "python.org")) b'"886313e1-3b8a-5372-9b90-0c9aee199e5d"' ``` @@ -1005,9 +950,6 @@ library handles a combined 342 JSON fixtures from the | Library | Invalid JSON documents not rejected | Valid JSON documents not deserialized | |------------|---------------------------------------|-----------------------------------------| | orjson | 0 | 0 | -| ujson | 31 | 0 | -| rapidjson | 6 | 0 | -| simplejson | 10 | 0 | | json | 17 | 0 | This shows that all libraries deserialize valid JSON but only orjson @@ -1018,21 +960,9 @@ The graph above can be reproduced using the `pycorrectness` script. ## Performance -Serialization and deserialization performance of orjson is better than -ultrajson, rapidjson, simplejson, or json. The benchmarks are done on -fixtures of real data: - -* twitter.json, 631.5KiB, results of a search on Twitter for "一", containing -CJK strings, dictionaries of strings and arrays of dictionaries, indented. - -* github.json, 55.8KiB, a GitHub activity feed, containing dictionaries of -strings and arrays of dictionaries, not indented. - -* citm_catalog.json, 1.7MiB, concert data, containing nested dictionaries of -strings and arrays of integers, indented. - -* canada.json, 2.2MiB, coordinates of the Canadian border in GeoJSON -format, containing floats and arrays, indented. +Serialization and deserialization performance of orjson is consistently better +than the standard library's `json`. The graphs below illustrate a few commonly +used documents. ### Latency @@ -1042,142 +972,66 @@ format, containing floats and arrays, indented. #### twitter.json serialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 0.1 | 8377 | 1 | -| ujson | 0.9 | 1088 | 7.3 | -| rapidjson | 0.8 | 1228 | 6.8 | -| simplejson | 1.9 | 531 | 15.6 | -| json | 1.4 | 744 | 11.3 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 0.1 | 8453 | 1 | +| json | 1.3 | 765 | 11.1 | #### twitter.json deserialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 0.6 | 1811 | 1 | -| ujson | 1.2 | 814 | 2.1 | -| rapidjson | 2.1 | 476 | 3.8 | -| simplejson | 1.6 | 626 | 3 | -| json | 1.8 | 557 | 3.3 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 0.5 | 1889 | 1 | +| json | 2.2 | 453 | 4.2 | #### github.json serialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 0.01 | 104424 | 1 | -| ujson | 0.09 | 10594 | 9.8 | -| rapidjson | 0.07 | 13667 | 7.6 | -| simplejson | 0.2 | 5051 | 20.6 | -| json | 0.14 | 7133 | 14.6 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 0.01 | 103693 | 1 | +| json | 0.13 | 7648 | 13.6 | #### github.json deserialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 0.05 | 20069 | 1 | -| ujson | 0.11 | 8913 | 2.3 | -| rapidjson | 0.13 | 8077 | 2.6 | -| simplejson | 0.11 | 9342 | 2.1 | -| json | 0.11 | 9291 | 2.2 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 0.04 | 23264 | 1 | +| json | 0.1 | 10430 | 2.2 | #### citm_catalog.json serialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 0.3 | 3757 | 1 | -| ujson | 1.7 | 598 | 6.3 | -| rapidjson | 1.3 | 768 | 4.9 | -| simplejson | 8.3 | 120 | 31.1 | -| json | 3 | 331 | 11.3 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 0.3 | 3975 | 1 | +| json | 3 | 338 | 11.8 | #### citm_catalog.json deserialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 1.4 | 730 | 1 | -| ujson | 2.6 | 384 | 1.9 | -| rapidjson | 4 | 246 | 3 | -| simplejson | 3.7 | 271 | 2.7 | -| json | 3.7 | 267 | 2.7 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 1.3 | 781 | 1 | +| json | 4 | 250 | 3.1 | #### canada.json serialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 2.4 | 410 | 1 | -| ujson | 9.6 | 104 | 3.9 | -| rapidjson | 28.7 | 34 | 11.8 | -| simplejson | 49.3 | 20 | 20.3 | -| json | 30.6 | 32 | 12.6 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 2.5 | 399 | 1 | +| json | 29.8 | 33 | 11.9 | #### canada.json deserialization -| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | -|------------|---------------------------------|-------------------------|----------------------| -| orjson | 3 | 336 | 1 | -| ujson | 7.1 | 141 | 2.4 | -| rapidjson | 20.1 | 49 | 6.7 | -| simplejson | 16.8 | 59 | 5.6 | -| json | 18.2 | 55 | 6.1 | - -### Memory - -orjson as of 3.7.0 has higher baseline memory usage than other libraries -due to a persistent buffer used for parsing. Incremental memory usage when -deserializing is similar to the standard library and other third-party -libraries. - -This measures, in the first column, RSS after importing a library and reading -the fixture, and in the second column, increases in RSS after repeatedly -calling `loads()` on the fixture. - -#### twitter.json - -| Library | import, read() RSS (MiB) | loads() increase in RSS (MiB) | -|------------|----------------------------|---------------------------------| -| orjson | 15.7 | 3.4 | -| ujson | 16.4 | 3.4 | -| rapidjson | 16.6 | 4.4 | -| simplejson | 14.5 | 1.8 | -| json | 13.9 | 1.8 | - -#### github.json - -| Library | import, read() RSS (MiB) | loads() increase in RSS (MiB) | -|------------|----------------------------|---------------------------------| -| orjson | 15.2 | 0.4 | -| ujson | 15.4 | 0.4 | -| rapidjson | 15.7 | 0.5 | -| simplejson | 13.7 | 0.2 | -| json | 13.3 | 0.1 | - -#### citm_catalog.json - -| Library | import, read() RSS (MiB) | loads() increase in RSS (MiB) | -|------------|----------------------------|---------------------------------| -| orjson | 16.8 | 10.1 | -| ujson | 17.3 | 10.2 | -| rapidjson | 17.6 | 28.7 | -| simplejson | 15.8 | 30.1 | -| json | 14.8 | 20.5 | - -#### canada.json - -| Library | import, read() RSS (MiB) | loads() increase in RSS (MiB) | -|------------|----------------------------|---------------------------------| -| orjson | 17.2 | 22.1 | -| ujson | 17.4 | 18.3 | -| rapidjson | 18 | 23.5 | -| simplejson | 15.7 | 21.4 | -| json | 15.4 | 20.4 | +| Library | Median latency (milliseconds) | Operations per second | Relative (latency) | +|-----------|---------------------------------|-------------------------|----------------------| +| orjson | 3 | 333 | 1 | +| json | 18 | 55 | 6 | ### Reproducing -The above was measured using Python 3.11.9 on Linux (amd64) with -orjson 3.10.6, ujson 5.10.0, python-rapidson 1.18, and simplejson 3.19.2. - -The latency results can be reproduced using the `pybench` and `graph` -scripts. The memory results can be reproduced using the `pymem` script. +The above was measured using Python 3.11.10 in a Fedora 42 container on an +x86-64-v4 machine using the +`orjson-3.10.11-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl` +artifact on PyPI. The latency results can be reproduced using the `pybench` script. ## Questions @@ -1226,10 +1080,11 @@ example using clang and LTO. The project's own CI tests against `nightly-2024-11-22` and stable 1.72. It is prudent to pin the nightly version because that channel can introduce -breaking changes. +breaking changes. There is a significant performance benefit to using +nightly. -orjson is tested for amd64 on Linux and cross-compiles for aarch64, arm7, -ppc64le, and s390x. It is tested for either aarch64 or amd64 on macOS and +orjson is tested for amd64, aarch64, and i686 on Linux and cross-compiles for +arm7, ppc64le, and s390x. It is tested for either aarch64 or amd64 on macOS and cross-compiles for the other, depending on version. For Windows it is tested on amd64 and i686. diff --git a/bench/data.py b/bench/data.py index 079957a6..aa9023ca 100644 --- a/bench/data.py +++ b/bench/data.py @@ -3,39 +3,17 @@ from json import dumps as _json_dumps from json import loads as json_loads -from rapidjson import dumps as _rapidjson_dumps -from rapidjson import loads as rapidjson_loads -from simplejson import dumps as _simplejson_dumps -from simplejson import loads as simplejson_loads -from ujson import dumps as _ujson_dumps -from ujson import loads as ujson_loads - from orjson import dumps as orjson_dumps from orjson import loads as orjson_loads -def ujson_dumps(obj): - return _ujson_dumps(obj).encode("utf-8") - - -def rapidjson_dumps(obj): - return _rapidjson_dumps(obj).encode("utf-8") - - def json_dumps(obj): return _json_dumps(obj).encode("utf-8") -def simplejson_dumps(obj): - return _simplejson_dumps(obj).encode("utf-8") - - libraries = { "orjson": (orjson_dumps, orjson_loads), - "ujson": (ujson_dumps, ujson_loads), "json": (json_dumps, json_loads), - "rapidjson": (rapidjson_dumps, rapidjson_loads), - "simplejson": (simplejson_dumps, simplejson_loads), } diff --git a/bench/requirements.txt b/bench/requirements.txt index 40d524ca..cd245e70 100644 --- a/bench/requirements.txt +++ b/bench/requirements.txt @@ -1,9 +1,6 @@ -memory-profiler +memory-profiler; python_version<"3.13" pandas; python_version<"3.13" pytest-benchmark pytest-random-order -python-rapidjson seaborn; python_version<"3.13" -simplejson tabulate -ujson diff --git a/bench/run_mem b/bench/run_mem index e62e755a..c3324c2b 100755 --- a/bench/run_mem +++ b/bench/run_mem @@ -19,12 +19,6 @@ if lib_name == "json": from json import dumps, loads elif lib_name == "orjson": from orjson import dumps, loads -elif lib_name == "rapidjson": - from rapidjson import dumps, loads -elif lib_name == "simplejson": - from simplejson import dumps, loads -elif lib_name == "ujson": - from ujson import dumps, loads else: raise NotImplementedError diff --git 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z+?#*#<(hE~Kmz%-jao{9bQfvz%IA@F;I$Nr&>H8s_cv-;OKN6jW?Px~Qkw2{2Imgc z24iUKueAR) diff --git a/integration/requirements.txt b/integration/requirements.txt index e5b290de..2f47d3a7 100644 --- a/integration/requirements.txt +++ b/integration/requirements.txt @@ -1,3 +1,3 @@ flask;sys_platform!="win" gunicorn;sys_platform!="win" -httpx==0.24.1;sys_platform!="win" +httpx==0.27.2;sys_platform!="win" diff --git a/pyproject.toml b/pyproject.toml index f72f842c..56e82030 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,5 +61,5 @@ known-first-party = ["orjson"] python_version = "3.8" [[tool.mypy.overrides]] -module = ["dateutil", "pytz", "simplejson", "ujson"] +module = ["dateutil", "pytz"] ignore_missing_imports = true diff --git a/requirements.txt b/requirements.txt index 9981cc8c..a204d239 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,4 +3,4 @@ -r test/requirements.txt maturin mypy==1.13.0 -ruff==0.7.1 +ruff==0.8.0 diff --git a/script/graph b/script/graph index 7cf47d0d..5e56e129 100755 --- a/script/graph +++ b/script/graph @@ -13,7 +13,7 @@ from tabulate import tabulate import orjson -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") +LIBRARIES = ("orjson", "json") def aggregate(): diff --git a/script/lint b/script/lint index 22f5742e..94a46b1c 100755 --- a/script/lint +++ b/script/lint @@ -2,7 +2,7 @@ set -eou pipefail -to_lint="./bench/*.py ./pysrc/orjson/__init__.pyi ./test/*.py script/pydataclass script/pymem +to_lint="./bench/*.py ./pysrc/orjson/__init__.pyi ./test/*.py script/pydataclass script/pysort script/pynumpy script/pynonstr script/pycorrectness script/graph integration/init integration/wsgi.py integration/typestubs.py integration/thread" diff --git a/script/pycorrectness b/script/pycorrectness index 3e9c3f36..de017d89 100755 --- a/script/pycorrectness +++ b/script/pycorrectness @@ -8,23 +8,17 @@ import lzma import os from pathlib import Path -import rapidjson -import simplejson -import ujson from tabulate import tabulate import orjson dirname = os.path.join(os.path.dirname(__file__), "..", "data") -LIBRARIES = ["orjson", "ujson", "rapidjson", "simplejson", "json"] +LIBRARIES = ["orjson", "json"] LIBRARY_FUNC_MAP = { "orjson": orjson.loads, - "ujson": ujson.loads, - "rapidjson": rapidjson.loads, - "simplejson": simplejson.loads, "json": json.loads, } diff --git a/script/pydataclass b/script/pydataclass index b43c95a4..853ea932 100755 --- a/script/pydataclass +++ b/script/pydataclass @@ -8,9 +8,6 @@ import os from timeit import timeit from typing import List -import rapidjson -import simplejson -import ujson from tabulate import tabulate import orjson @@ -50,7 +47,7 @@ def default(__obj): headers = ("Library", "dict (ms)", "dataclass (ms)", "vs. orjson") -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") +LIBRARIES = ("orjson", "json") ITERATIONS = 100 @@ -72,34 +69,6 @@ for lib_name in LIBRARIES: lambda: json.dumps(objects_as_dataclass, default=default).encode("utf-8"), number=ITERATIONS, ) - elif lib_name == "simplejson": - as_dict = timeit( - lambda: simplejson.dumps(objects_as_dict).encode("utf-8"), - number=ITERATIONS, - ) - as_dataclass = timeit( - lambda: simplejson.dumps(objects_as_dataclass, default=default).encode( - "utf-8" - ), - number=ITERATIONS, - ) - elif lib_name == "ujson": - as_dict = timeit( - lambda: ujson.dumps(objects_as_dict).encode("utf-8"), - number=ITERATIONS, - ) - as_dataclass = None - elif lib_name == "rapidjson": - as_dict = timeit( - lambda: rapidjson.dumps(objects_as_dict).encode("utf-8"), - number=ITERATIONS, - ) - as_dataclass = timeit( - lambda: rapidjson.dumps(objects_as_dataclass, default=default).encode( - "utf-8" - ), - number=ITERATIONS, - ) elif lib_name == "orjson": as_dict = timeit(lambda: orjson.dumps(objects_as_dict), number=ITERATIONS) as_dataclass = timeit( diff --git a/script/pyindent b/script/pyindent index 753c855f..f31dc1ad 100755 --- a/script/pyindent +++ b/script/pyindent @@ -9,9 +9,6 @@ import sys from pathlib import Path from timeit import timeit -import rapidjson -import simplejson -import ujson from tabulate import tabulate import orjson @@ -37,7 +34,7 @@ data = read_fixture_obj(f"{filename}.json.xz") headers = ("Library", "compact (ms)", "pretty (ms)", "vs. orjson") -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") +LIBRARIES = ("orjson", "json") output_in_kib_compact = len(orjson.dumps(data)) / 1024 output_in_kib_pretty = len(orjson.dumps(data, option=orjson.OPT_INDENT_2)) / 1024 @@ -73,30 +70,6 @@ for lib_name in LIBRARIES: number=ITERATIONS, ) correct = test_correctness(json.dumps(data, indent=2).encode("utf-8")) - elif lib_name == "simplejson": - time_compact = timeit( - lambda: simplejson.dumps(data).encode("utf-8"), - number=ITERATIONS, - ) - time_pretty = timeit( - lambda: simplejson.dumps(data, indent=2).encode("utf-8"), - number=ITERATIONS, - ) - correct = test_correctness(simplejson.dumps(data, indent=2).encode("utf-8")) - elif lib_name == "ujson": - time_compact = timeit( - lambda: ujson.dumps(data).encode("utf-8"), - number=ITERATIONS, - ) - time_pretty = timeit( - lambda: ujson.dumps(data, indent=2).encode("utf-8"), - number=ITERATIONS, - ) - correct = test_correctness(ujson.dumps(data, indent=2).encode("utf-8")) - elif lib_name == "rapidjson": - time_compact = timeit(lambda: rapidjson.dumps(data), number=ITERATIONS) - time_pretty = timeit(lambda: rapidjson.dumps(data, indent=2), number=ITERATIONS) - correct = test_correctness(rapidjson.dumps(data, indent=2)) elif lib_name == "orjson": time_compact = timeit(lambda: orjson.dumps(data), number=ITERATIONS) time_pretty = timeit( diff --git a/script/pymem b/script/pymem deleted file mode 100755 index 6b97bb0d..00000000 --- a/script/pymem +++ /dev/null @@ -1,34 +0,0 @@ -#!/usr/bin/env python3 -# SPDX-License-Identifier: (Apache-2.0 OR MIT) - -import io -import subprocess - -from tabulate import tabulate - -buf = io.StringIO() - -headers = ("Library", "import, read() RSS (MiB)", "loads() increase in RSS (MiB)") - -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") - -FIXTURES = ("canada.json", "citm_catalog.json", "github.json", "twitter.json") - -for fixture in sorted(FIXTURES, reverse=True): - table = [] - buf.write("\n" + "#### " + fixture + "\n\n") - for lib_name in LIBRARIES: - proc = subprocess.Popen( - ("bench/run_mem", f"data/{fixture}.xz", lib_name), stdout=subprocess.PIPE - ) - output = proc.stdout.readline().decode("utf-8").strip().split(",") - mem_base = int(output[0]) / 1024 / 1024 - mem_diff = int(output[1]) / 1024 / 1024 - correct = bool(int(output[2])) - if correct: - table.append((lib_name, f"{mem_base:,.1f}", f"{mem_diff:,.1f}")) - else: - table.append((lib_name, "", "")) - buf.write(tabulate(table, headers, tablefmt="github") + "\n") - -print(buf.getvalue()) diff --git a/script/pynonstr b/script/pynonstr index 9670443a..348975ef 100755 --- a/script/pynonstr +++ b/script/pynonstr @@ -9,9 +9,6 @@ import random from time import mktime from timeit import timeit -import rapidjson -import simplejson -import ujson from tabulate import tabulate import orjson @@ -33,7 +30,7 @@ data_as_str = orjson.loads(orjson.dumps(data_as_obj, option=orjson.OPT_NON_STR_K headers = ("Library", "str keys (ms)", "int keys (ms)", "int keys sorted (ms)") -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") +LIBRARIES = ("orjson", "json") ITERATIONS = 500 @@ -69,41 +66,6 @@ for lib_name in LIBRARIES: None # TypeError: '<' not supported between instances of 'str' and 'int' ) correct = False - elif lib_name == "simplejson": - time_as_str = timeit( - lambda: simplejson.dumps(data_as_str).encode("utf-8"), - number=ITERATIONS, - ) - time_as_obj = timeit( - lambda: simplejson.dumps(data_as_obj).encode("utf-8"), - number=ITERATIONS, - ) - time_as_obj_sorted = timeit( - lambda: simplejson.dumps(data_as_obj, sort_keys=True).encode("utf-8"), - number=ITERATIONS, - ) - correct = test_correctness( - simplejson.dumps(data_as_obj, sort_keys=True).encode("utf-8") - ) - elif lib_name == "ujson": - time_as_str = timeit( - lambda: ujson.dumps(data_as_str).encode("utf-8"), - number=ITERATIONS, - ) - time_as_obj = timeit( - lambda: ujson.dumps(data_as_obj).encode("utf-8"), - number=ITERATIONS, - ) - time_as_obj_sorted = None # segfault - correct = False - elif lib_name == "rapidjson": - time_as_str = timeit( - lambda: rapidjson.dumps(data_as_str).encode("utf-8"), - number=ITERATIONS, - ) - time_as_obj = None - time_as_obj_sorted = None - correct = False elif lib_name == "orjson": time_as_str = timeit( lambda: orjson.dumps(data_as_str, None, orjson.OPT_NON_STR_KEYS), diff --git a/script/pynumpy b/script/pynumpy index 2ad6d982..db459c22 100755 --- a/script/pynumpy +++ b/script/pynumpy @@ -11,8 +11,6 @@ from timeit import timeit import numpy import psutil -import rapidjson -import simplejson from memory_profiler import memory_usage from tabulate import tabulate @@ -71,7 +69,7 @@ def default(__obj): headers = ("Library", "Latency (ms)", "RSS diff (MiB)", "vs. orjson") -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") +LIBRARIES = ("orjson", "json") ITERATIONS = 10 @@ -80,17 +78,6 @@ def orjson_dumps(): return orjson.dumps(array, option=orjson.OPT_SERIALIZE_NUMPY) -ujson_dumps = None - - -def rapidjson_dumps(): - return rapidjson.dumps(array, default=default).encode("utf-8") - - -def simplejson_dumps(): - return simplejson.dumps(array, default=default).encode("utf-8") - - def json_dumps(): return json.dumps(array, default=default).encode("utf-8") diff --git a/script/pysort b/script/pysort index b1a47204..2e89e3da 100755 --- a/script/pysort +++ b/script/pysort @@ -8,9 +8,6 @@ import os from pathlib import Path from timeit import timeit -import rapidjson -import simplejson -import ujson from tabulate import tabulate import orjson @@ -34,7 +31,7 @@ data = read_fixture_obj("twitter.json.xz") headers = ("Library", "unsorted (ms)", "sorted (ms)", "vs. orjson") -LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json") +LIBRARIES = ("orjson", "json") ITERATIONS = 500 @@ -56,33 +53,6 @@ for lib_name in LIBRARIES: lambda: json.dumps(data, sort_keys=True).encode("utf-8"), number=ITERATIONS, ) - elif lib_name == "simplejson": - time_unsorted = timeit( - lambda: simplejson.dumps(data).encode("utf-8"), - number=ITERATIONS, - ) - time_sorted = timeit( - lambda: simplejson.dumps(data, sort_keys=True).encode("utf-8"), - number=ITERATIONS, - ) - elif lib_name == "ujson": - time_unsorted = timeit( - lambda: ujson.dumps(data).encode("utf-8"), - number=ITERATIONS, - ) - time_sorted = timeit( - lambda: ujson.dumps(data, sort_keys=True).encode("utf-8"), - number=ITERATIONS, - ) - elif lib_name == "rapidjson": - time_unsorted = timeit( - lambda: rapidjson.dumps(data).encode("utf-8"), - number=ITERATIONS, - ) - time_sorted = timeit( - lambda: rapidjson.dumps(data, sort_keys=True).encode("utf-8"), - number=ITERATIONS, - ) elif lib_name == "orjson": time_unsorted = timeit(lambda: orjson.dumps(data), number=ITERATIONS) time_sorted = timeit(