fast-sqlite3-inserts
snmalloc-rs
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fast-sqlite3-inserts | snmalloc-rs | |
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11 | 1 | |
363 | 114 | |
- | - | |
0.0 | 4.7 | |
about 1 year ago | 27 days ago | |
Rust | Rust | |
MIT License | MIT License |
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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
snmalloc-rs
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Ask for benchmark. The owner can’t verify a 18% perf gain, could you?
I've heard snmalloc is even faster.
What are some alternatives?
tsbs - Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
julia - The Julia Programming Language
afl - american fuzzy lop (copy of the source code for easy access)
plum - Multiple dispatch in Python
sqlite_micro_logger_arduino - Fast and Lean Sqlite database logger for Arduino UNO and above
remixdb - RemixDB: A read- and write-optimized concurrent KV store. Fast point and range queries. Extremely low write-amplification.
dynamic-dns - An automated dynamic DNS solution for Docker and DigitalOcean
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).
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.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
kotlin-script-examples - Examples of Kotlin Scripts and usages of the Kotlin Scripting API