plum
fast-sqlite3-inserts
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plum | fast-sqlite3-inserts | |
---|---|---|
6 | 11 | |
479 | 363 | |
2.1% | - | |
7.9 | 0.0 | |
23 days ago | about 1 year ago | |
Python | Rust | |
MIT License | MIT License |
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plum
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Writing Python like it’s Rust
You can use https://github.com/beartype/plum instead of that elif chain too
- Is there any language that is as similar as possible to Python in syntax, readability, and features, but is statically typed?
fast-sqlite3-inserts
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SQLite performance tuning: concurrent reads, multiple GBs and 100k SELECTs/s
I am experimenting with SQLite, where I try inserting 1B rows in under a minute. The current best is inserting 100M rows at 23s. I cut many corners to get performance, but the tweaks might suit your workload.
I have explained my rationale and approach here - https://avi.im/blag/2021/fast-sqlite-inserts/
the repo link - https://github.com/avinassh/fast-sqlite3-inserts
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I/O is no longer the bottleneck
I am working on a project [0] to generate 1 billion rows in SQLite under a minute and inserted 100M rows inserts in 33 seconds. First, I generate the rows and insert them in an in-memory database, then flush them to the disk at the end. To flush it to disk it takes only 2 seconds, so 99% of the time is being spent generating and adding rows to the in-memory B Tree.
For Python optimisation, have you tried PyPy? I ran my same code (zero changes) using PyPy, and I got 3.5x better speed.
I published my findings here [1].
- Ask HN: Which personal projects got you hired?
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Is there any language that is as similar as possible to Python in syntax, readability, and features, but is statically typed?
I have a side project where I tried to insert one billion rows in SQLite. I was able to insert 100 million rows using Python under 210 seconds. The same thing with PyPy took 120 seconds. I am wondering what kind of speed boost I would get with Cython
- Ask for benchmark. The owner can’t verify a 18% perf gain, could you?
- Inserting One Billion Rows in SQLite Under a Minute
- Weekly Coders, Hackers & All Tech related thread - 17/07/2021
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How we achieved write speeds of 1.4 million rows per second
[somewhat related] Recently, I was benchmarking SQLite inserts and I managed to insert 3.3M records per second (100M in 33 ish seconds) on my local machine - https://github.com/avinassh/fast-sqlite3-inserts Ofcourse the comparison is not apples to apples, but sharing here if anyone finds it interesting
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Python programmers prepare for pumped-up performance: Article describes Pyston and plans to upstream Pyston changes back into CPython, plus Facebook's Cinder: "publicly available for anyone to download and try and suggest improvements."
I am working on this side project where I am trying to figure out the quickest way possible to generate an SQLite DB with 1B rows. The CPython version was able to 100M rows in 520 seconds and the same code under Pypy completed in 160 seconds. Here is the github code - https://github.com/avinassh/fast-sqlite3-inserts
What are some alternatives?
multipledispatch - Multiple dispatch
MonkeyType - A Python library that generates static type annotations by collecting runtime types
Pomander - Deploy your PHP with PHP. Inspired by Capistrano and Vlad.
runtype - Utilities for run-time type validation and multiple dispatch
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
dynamic-dns - An automated dynamic DNS solution for Docker and DigitalOcean
Envoy - Elegant SSH tasks for PHP.
tsbs - Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
python - Official Python client library for kubernetes
julia - The Julia Programming Language
sqlite_micro_logger_arduino - Fast and Lean Sqlite database logger for Arduino UNO and above
jaxtyping - Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/