pysimdjson
GTAO_Booster_PoC
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pysimdjson | GTAO_Booster_PoC | |
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6 | 8 | |
628 | 2,808 | |
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5.3 | 0.0 | |
about 2 months ago | over 2 years ago | |
Python | C | |
GNU General Public License v3.0 or later | Do What The F*ck You Want To Public License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
GTAO_Booster_PoC
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Rumors of GTA online exploits allowing remote code execution on gamer PCs
Everyone should keep in mind that this is the same game whose client-update-handshake-dance largely consisted of an enormous JSON of all the updates that had ever been done to the gamestate, which then got parsed naively. This situation was recognized and patched [0] by an interested third party [1].
Not a slight against the code monkey that implemented it that way, because they surely didn't bother to think about complexity consequences when the gamestate was new and the JSON wasn't 10MB yet, but a slight on Rockstar, because the cash cow that GTA:O turned out to be deserves some fuckin' maintenance, doesn't it? Then again, the eye-popping prevalence of hax0rs in Rockstar games probably ought to signify priorities to even the most casual observer. As others in these comments observe, with what those hackers can achieve, it's not surprising to learn there's RCEs too.
[0] https://github.com/tostercx/GTAO_Booster_PoC
[1] https://nee.lv/2021/02/28/How-I-cut-GTA-Online-loading-times...
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How I cut GTA Online loading times by 70%
How likely is one to get suspended if one uses the proof of concept for playing the game
This blog post was written by an Eastern European so I'm afraid you'll have to find another ethnicity to blame for Rockstar's failures.
What are some alternatives?
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
cysimdjson - Very fast Python JSON parsing library
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
Fast JSON schema for Python - Fast JSON schema validator for Python.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
PyValico - Small python wrapper around https://github.com/rustless/valico
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
serpy - ridiculously fast object serialization
hjson-py - Hjson for Python
cattrs - Composable custom class converters for attrs.
python-rapidjson - Python wrapper around rapidjson
pySHACL - A Python validator for SHACL