plum
fast-sqlite3-inserts
| plum | fast-sqlite3-inserts | |
|---|---|---|
| 6 | 11 | |
| 544 | 383 | |
| 0.9% | - | |
| 8.2 | 0.0 | |
| 7 days ago | almost 2 years ago | |
| Python | Rust | |
| MIT License | MIT License |
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plum
- Plum: Multiple Dispatch in Python
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Writing Python like it’s Rust
You can use https://github.com/beartype/plum instead of that elif chain too
- GitHub - wesselb/plum: Multiple dispatch in Python
- Plum-dispatch: Julia-inspired multiple dispatch in Python
- Is there any language that is as similar as possible to Python in syntax, readability, and features, but is statically typed?
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How Julia Uses Multiple Dispatch to Beat Python
Singledispatch is old, dates back to py2: https://docs.python.org/3/library/functools.html#functools.s...
I definitely agree that multiple dispatch is a lot harder :). But most of the examples in the article didn't need it, and it would have been appropriate I think to show equivalent code in Python. All that article did was make me think the author didn't know Python very well.
There are several libraries for multiple dispatch too, for e.g. https://github.com/wesselb/plum
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].
[0] - https://github.com/avinassh/fast-sqlite3-inserts
[1] - https://avi.im/blag/2021/fast-sqlite-inserts/
- 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?
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Inserting One Billion Rows in SQLite Under A Minute
Measure, measure, measure! There is a PR which made really minor changes, but it got 2x speed boost with CPython version
- 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
What are some alternatives?
Pomander - Deploy your PHP with PHP. Inspired by Capistrano and Vlad.
snmalloc-rs - rust bindings of snmalloc
MonkeyType - A Python library that generates static type annotations by collecting runtime types
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/
kotlin-script-examples - Examples of Kotlin Scripts and usages of the Kotlin Scripting API
multipledispatch - Multiple dispatch
dynamic-dns - An automated dynamic DNS solution for Docker and DigitalOcean
remixdb - RemixDB: A read- and write-optimized concurrent KV store. Fast point and range queries. Extremely low write-amplification.
Envoy - Elegant SSH tasks for PHP.
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.