Microsoft.IO.RecyclableMemoryStream
ripgrep
Microsoft.IO.RecyclableMemoryStream | ripgrep | |
---|---|---|
10 | 348 | |
1,894 | 45,040 | |
0.7% | - | |
7.2 | 9.3 | |
9 days ago | 11 days ago | |
C# | Rust | |
MIT License | The Unlicense |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Microsoft.IO.RecyclableMemoryStream
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How to improve memory allocation when creating HttpContent
There’s also RecyclableMemoryStream
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How can I efficiently search for a specific string in a large text file using C#?
Another suggestion to try, there is a tool provided by Microsoft called Microsoft.IO.RecyclableMemoryStream which greatly reduces the amount of memory to garbage collect when streaming large amounts of data.
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Why is Rust faster than Go for CPU bound tasks?
it's also common, however, that in GC'd languages people end up making their own mini-allocators to avoid producing garbage in the first place. See, for example, https://learn.microsoft.com/en-us/dotnet/api/system.buffers.arraypool-1?view=net-6.0, which didn't exist in Net Framework but Net Core added because even with a good GC, not GC'ing is faster than GC'ing. Or check out https://github.com/Microsoft/Microsoft.IO.RecyclableMemoryStream, which is basically recreating the pooling strategy that good Rust allocators also use (albeit with fewer pools because it's less general-purpose).
- Microsoft.IO.RecyclableMemoryStream
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Is usage of MemoryStream not scalable?
There are some known performance issues when using memorystreams. Microsoft themselves created a nuget package as a drop in replacement: https://github.com/microsoft/Microsoft.IO.RecyclableMemoryStream They talk about some of the issues in the readme, I suggest you take a look and see if anything applies to your use case.
- C# Performance tricks — Reducing heap allocations and execution time
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Is it better to reuse a memory stream or create a new one if used inside a loop?
If you do need to use MemoryStream a lot or reuse one, I suggest you to use https://github.com/Microsoft/Microsoft.IO.RecyclableMemoryStream it pools MemoryStream for you to optimize things
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.NET The useful package for a pooling memory streams Microsoft.IO.RecyclableMemoryStream
I had implemented logging of REST API requests to public service and one problem was pooling streams for reading request body. So I have found package Microsoft.IO.RecyclableMemoryStream. I'm using it following manner
- microsoft/Microsoft.IO.RecyclableMemoryStream
- Why should I care about .NET GC?
ripgrep
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Ask HN: What software sparks joy when using?
ripgrep - https://github.com/BurntSushi/ripgrep
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Code Search Is Hard
Basic code searching skills seems like something new developers are never explicitly taught, but which is an absolutely crucial skill to build early on.
I guess the knowledge progression I would recommend would look something kind this:
- Learning about Ctrl+F, which works basically everywhere.
- Transitioning to ripgrep https://github.com/BurntSushi/ripgrep - I wouldn't even call this optional, it's truly an incredible and very discoverable tool. Requires keeping a terminal open, but that's a good thing for a newbie!
- Optional, but highly recommended: Learning one of the powerhouse command line editors. Teenage me recommended Emacs; current me recommends vanilla vim, purely because some flavor of it is installed almost everywhere. This is so that you can grep around and edit in the same window.
- In the same vein, moving back from ripgrep and learning about good old fashioned grep, with a few flags rg uses by default: `grep -r` for recursive search, `grep -ri` for case insensitive recursive search, and `grep -ril` for case insensitive recursive "just show me which files this string is found in" search. Some others too, season to taste.
- Finally hitting the wall with what ripgrep can do for you and switching to an actual indexed, dedicated code search tool.
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Level Up Your Dev Workflow: Conquer Web Development with a Blazing Fast Neovim Setup (Part 1)
live grep: ripgrep
- Ripgrep
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Modern Java/JVM Build Practices
The world has moved on though to opinionated tools, and Rust isn't even the furthest in that direction (That would be Go). The equivalent of those two lines in Cargo.toml would be this example of a basic configuration from the jacoco-maven-plugin: https://www.jacoco.org/jacoco/trunk/doc/examples/build/pom.x... - That's 40 lines in the section to do the "defaults".
Yes, you could add a load of config for files to include/exclude from coverage and so on, but the idea that that's a norm is way more common in Java projects than other languages. Like here's some example Cargo.toml files from complicated Rust projects:
Servo: https://github.com/servo/servo/blob/main/Cargo.toml
rust-gdext: https://github.com/godot-rust/gdext/blob/master/godot-core/C...
ripgrep: https://github.com/BurntSushi/ripgrep/blob/master/Cargo.toml
socketio: https://github.com/1c3t3a/rust-socketio/blob/main/socketio/C...
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Ugrep – a more powerful, ultra fast, user-friendly, compatible grep
I'm not clear on why you're seeing the results you are. It could be because your haystack is so small that you're mostly just measuring noise. ripgrep 14 did introduce some optimizations in workloads like this by reducing match overhead, but I don't think it's anything huge in this case. (And I just tried ripgrep 13 on the same commands above and the timings are similar if a tiny bit slower.)
[1]: https://github.com/radare/ired
[2]: https://github.com/BurntSushi/ripgrep/discussions/2597
- Tell HN: My Favorite Tools
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Potencializando Sua Experiência no Linux: Conheça as Ferramentas em Rust para um Desenvolvimento Eficiente
Explore o Ripgrep no repositório oficial: https://github.com/BurntSushi/ripgrep
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Scrybble is the ReMarkable highlights to Obsidian exporter I have been looking for
🔎🗃️ ripgrep or ugrep (search fast, use regex patterns or fuzzy search, pipe output to bash/zsh shell for further processing V coloring)
- RFC: Add ngram indexing support to ripgrep (2020)
What are some alternatives?
StreamRegex - A .NET Standard 2.1+ Library to perform string parsing operations on Streams and StreamReaders. Includes Extensions for Regex.
telescope-live-grep-args.nvim - Live grep with args
nlc - Line counter written in C# targeting .NET 6
fd - A simple, fast and user-friendly alternative to 'find'
ugrep - ugrep 5.1: A more powerful, ultra fast, user-friendly, compatible grep. Includes a TUI, Google-like Boolean search with AND/OR/NOT, fuzzy search, hexdumps, searches (nested) archives (zip, 7z, tar, pax, cpio), compressed files (gz, Z, bz2, lzma, xz, lz4, zstd, brotli), pdfs, docs, and more
the_silver_searcher - A code-searching tool similar to ack, but faster.
fzf - :cherry_blossom: A command-line fuzzy finder
alacritty - A cross-platform, OpenGL terminal emulator.
python-regex-cheatsheet - Python 2.7 Regular Expression cheatsheet, as a restructured text document and Makefile to convert it to PDF
Parallel
xsv - A fast CSV command line toolkit written in Rust.
delta - A syntax-highlighting pager for git, diff, and grep output