pysimdjson
compare-go-json
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| pysimdjson | compare-go-json | |
|---|---|---|
| 6 | 5 | |
| 629 | 18 | |
| - | - | |
| 5.3 | 0.0 | |
| 2 months ago | almost 2 years ago | |
| Python | Go | |
| GNU General Public License v3.0 or later | - |
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pysimdjson
- Analyzing multi-gigabyte JSON files locally
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I Use C When I Believe in Memory Safety
Its magic function wrapping comes at a cost, trading ease of use for runtime performance. When you have a single C++ function to call that will run for a "long" time, pybind all the way. But pysimdjson tends to call a single function very quickly, and the overhead of a single function call is orders of magnitude slower than with cython when being explit with types and signatures. Wrap a class in pybind11 and cython and compare the stack trace between the two, and the difference is startling.
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Processing JSON 2.5x faster than simdjson with msgspec
simdjson
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[package-find] lsp-bridge
You are aware of simdjson being available in python if you really need some json crunching, albeit json module in Python is implemented in C itself, so I don't think understand why do you think Python is slow there?
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The fastest tool for querying large JSON files is written in Python (benchmark)
json: 113.79130696877837 ms
While `orjson`, is faster than `ujson`/`json` here, it's only ~6% faster (in this benchmark). `simdjson` and `msgspec` (my library, see https://jcristharif.com/msgspec/) are much faster due to them avoiding creating PyObjects for fields that are never used.
If spyql's query engine can determine the fields it will access statically before processing, you might find using `msgspec` for JSON gives a nice speedup (it'll also type check the JSON if you know the type of each field). If this information isn't known though, you may find using `pysimdjson` (https://pysimdjson.tkte.ch/) gives an easy speed boost, as it should be more of a drop-in for `orjson`.
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How I cut GTA Online loading times by 70%
I don't think JSON is really the problem - parsing 10MB of JSON is not so slow. For example, using Python's json.load takes about 800ms for a 47MB file on my system, using something like simdjson cuts that down to ~70ms.
compare-go-json
- The fastest tool for querying large JSON files is written in Python (benchmark)
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OjG now has a tokenizer that is almost 10 times faster than json.Decode
jsoniter is json-iterator/go. It is the 3rd column at https://github.com/ohler55/compare-go-json
What are some alternatives?
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
cysimdjson - Very fast Python JSON parsing library
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Fast JSON schema for Python - Fast JSON schema validator for Python.
comparePlus - Compare plugin for Notepad++
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
ojg - Optimized JSON for Go
PyValico - Small python wrapper around https://github.com/rustless/valico
db-benchmark - reproducible benchmark of database-like ops