pysimdjson
lnav
pysimdjson | lnav | |
---|---|---|
6 | 77 | |
629 | 6,727 | |
- | - | |
5.3 | 9.6 | |
3 months ago | 3 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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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.
Ex: https://github.com/TkTech/pysimdjson/issues/73
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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.
lnav
- Lnav: A log file viewer for the terminal
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Angle-grinder: Slice and dice logs on the command line
See https://lnav.org for a powerful mini-ETL CLI power tool; it embeds SQLite, supports ~every format, has great UX and easily handles a few million rows at a time.
- FLaNK Stack 26 February 2024
- LNAV – The Logfile Navigator
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Toolong: Terminal application to view, tail, merge, and search log files
The code base seems like a good reference as a small Python project.
My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4
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Logdy.dev – web based logs viewer UI for local development environment
For local development, I cannot recommend lnav[1] enough. Discovering this tool was a game changer in my day to day life. Adding comments, filtering in/out, prettify and analyse distribution is hard to live without now.
I don't think a browser tool would fit in my workflow. I need to pipe the output to the tool.
[1] https://lnav.org/
- Textanalysistool.net
- Ask HN: What apps have you created for your own use?
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Ask HN: How does `lnav` run its playground which you can just SSH into?
It looks like they run an SSH server inside a Docker container defined by this Dockerfile [1]. This uses the ForceCommand directive in the sshd_config file to ensure that a specific command is run when a user connects (rather than the user connecting directly to a shell).
Depending on whether the user connects as the `playground` or `tutorial1` user they interact with a bash script that is either [2] or [3].
[1]: https://github.com/tstack/lnav/blob/master/demo/Dockerfile
[2]: https://github.com/tstack/lnav/blob/master/docs/tutorials/pl...
[3]: https://github.com/tstack/lnav/blob/master/docs/tutorials/tu...
What are some alternatives?
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
lightproxy - 💎 Cross platform Web debugging proxy
cysimdjson - Very fast Python JSON parsing library
dive - A tool for exploring each layer in a docker image
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
glow - Render markdown on the CLI, with pizzazz! 💅🏻
Fast JSON schema for Python - Fast JSON schema validator for Python.
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
conio-for-linux - Conio.h for linux
PyValico - Small python wrapper around https://github.com/rustless/valico
nnn - n³ The unorthodox terminal file manager