Sqinn-Go
regex-benchmark
Sqinn-Go | regex-benchmark | |
---|---|---|
8 | 9 | |
403 | 310 | |
- | - | |
5.5 | 0.0 | |
5 months ago | about 1 month ago | |
Go | Dockerfile | |
The Unlicense | MIT License |
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Sqinn-Go
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Show HN: My Go SQLite driver did poorly on a benchmark, so I fixed it
Note that Squinn is not "native go" or "go only", but the owner insists on misleading people:
https://github.com/cvilsmeier/sqinn-go/issues/8
- Show HN: Sqinn-Go is a Golang library for accessing SQLite databases in pure Go
- SQLite in Go, with and Without Cgo
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SQLite in Go, with and without cgo
If you want to avoid cgo, consider sqinn as well: benchmarks.
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A remote JSON interface for SQLite, in Go
Of course, it may seem... odd to add a remote interface to an embedded database, but I think that it fits some niches well, especially when decoupling persistence and logic is needed, without renouncing to the expressivity of SQL. It was inspired by PostgREST, but it’s much more “low level” – and it should be even simpler to adapt to some cases. Also, it serves the same purpose of sqinn but with a more general interface.
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Go performance from version 1.2 to 1.18
Why don't you try a pure-Go implementation? Should have enough features implemented for basic use
https://github.com/cvilsmeier/sqinn-go
regex-benchmark
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Best regexp alternative for Go. Benchmarks. Plots.
Before we start comparing the aforementioned solutions, it is worth to show how bad things are with the standard regex library in Go. I found the project where the author compares the performance of standard regex engines of various languages. The point of this benchmark is to repeatedly run 3 regular expressions over a predefined text. Go came in 3rd place in this benchmark! From the end....
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Rust vs. Go in 2023
* Let you clone a map without rehashing every key to a new seed. I generally measure at least 15x speedup from this alone, unlocking very useful design patterns like "clone a map and apply a few temporary updates for a one-off operation like validation or simulation" with no extra code complexity. Go gives you no better option than slowly rehashing the entire map.
And that's just hash maps. How about Go's regex engine being one of the slowest in the world while Rust's regex crate being one of the fastest:
https://github.com/mariomka/regex-benchmark#optimized
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Regex for lazy developers
Languages Regex Benchmark
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Elon is your new boss, time to refactor!
Java is still pretty bad compared to C# (not to mention Rust or Nim)
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Lyra: Fast, in-memory, typo-tolerant, full-text search engine in TypeScript
https://github.com/mariomka/regex-benchmark
And the always interesting techempower Project, which leaves the implementation to participants of each round. https://www.techempower.com/benchmarks/#section=data-r21&tes...
Choose whatever category you wish there, js is faster in then go in almost all categories there.
Even though I said it before, I'm going to repeat myself as I expect you to ignore my previous message: the language doesn't make any implementation fast or slow. You can have a well performing search engine in go, and JS. The performance difference will most likely not be caused by the language with these two choices. And the same will apply with C/Rust. The language won't make the engine performant creating a maximally performant search engine is hard
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i'd like you to meet regex-
Also, regex engines are not created equally, at all. One of the best writeups I've ever read is from the ripgrep blog. Burntsushi knows regex. There's also this benchmark site which illustrates how general language performance is an entirely different metric than regex performance. Don't assume those benchmarks will cover your particular use case, though--different regex engines might handle your particular situation differently.
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Go performance from version 1.2 to 1.18
Interesting. Looking at this repo, they have
Rust -> Ruby -> Java -> Golang
https://github.com/mariomka/regex-benchmark
Though it appears the numbers are two years old or so, and only for 3 specific regexes.
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Hajime can now get hardware information about your MC server, all from Minecraft itself!
id also be careful in claiming C++ std regex is faster than python, unless you actually have proof. there's a ton of information that in many cases its actually slower. https://github.com/mariomka/regex-benchmark. have you actually benchmarked your code? or was it just a naive assumption that because its C++ its just fast?
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A Complete Course of the Raku programming language
It is a matter of personal preference.
I find that regular expressions and text-wrangling tasks are faster and easier in Perl than in other programming languages due to its accessible syntax and regular expression engine speed.
This article shows the regular expression syntax in several popular programming languages: https://cs.lmu.edu/~ray/notes/regex/
This GitHub repo gives some regex performance test benchmarks: https://github.com/mariomka/regex-benchmark Perl is pretty fast among the scripting languages that were benchmarked.
If you are familiar with C / C++, then learning Perl is relatively fast and easy: https://perldoc.perl.org/perlintro
What are some alternatives?
go-sqlite3 - sqlite3 driver for go using database/sql
hyperscan - High-performance regular expression matching library
sqlx - general purpose extensions to golang's database/sql
regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.
vertica-sql-go - Official native Go client for the Vertica Analytics Database.
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
go-mssqldb - Microsoft SQL server driver written in go language
orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
godror - GO DRiver for ORacle DB
raku-course
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
rakudo-appimage