rayon
sled
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rayon | sled | |
---|---|---|
66 | 37 | |
10,169 | 7,723 | |
2.3% | - | |
9.0 | 2.4 | |
9 days ago | 9 days ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
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.
rayon
- Too Dangerous for C++
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What Are The Rust Crates You Use In Almost Every Project That They Are Practically An Extension of The Standard Library?
rayon: Async CPU runtime for parallelism.
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Moving from Typescript and Langchain to Rust and Loops
In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.
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The Rust I Wanted Had No Future
(see https://github.com/rayon-rs/rayon/tree/master/src/iter/plumbing)
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General Recommendations: Should I Use Tree-sitter as the AST for the LSP I am developing?
Sequentially, generating tree-sitter AST for each file and querying for the links of each file takes around 2.3 seconds. However, I randomly remembered this crate rayon, and I decided to test it. It ended up improving the performance (just by changing 2 lines of code) to 200-300ms by parallelizing the iterators and tree-sitter queries. MAJOR.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
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AI learns to play flappy bird (code in comments)
Maybe rayon could make some loops there and there faster if needed.
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Making Python 100x faster with less than 100 lines of Rust
One of the others understated pros of rewriting some parts in Rust, it's that you can parallelize easily with Rayon[0]
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Trying to learn by tutorials, for cannot find a single Actix/Diesel tutorial that actually compiles
On that topic, have you heard about our lord and savior rayon? 😊
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Brett Slatkin: Why am I building a new functional programming language?
> He spoke of the potential for functional languages to provide a significant, intrinsic advantage when it comes to parallel computing.
> (...)
> If that were true, you'd expect that the many existing functional programming languages would have already satisfied this need. But in my opinion, they haven't
Well there is https://futhark-lang.org/ - it runs on the GPU, and is awesome.
On the CPU side, I think that Rust plus https://github.com/rayon-rs/rayon was a huge breakthrough on writing parallel programs using both functional and imperative programming, and future languages should learn from its successes. The ownership system & the borrow checker, plus other type-level features like the Send and Sync traits, were essential to enable sharing read-only data between threads without synchronization, or sharing read-write data with synchronization, all checked at compile time for data races (which is a huge problem to solve, and is something that neither Go nor Java protects against at compile time)
Indeed Futhark shares a key feature with Rust: it uses uniqueness types to enable in-place updates, which is kind like a limited form of Rust ownership: if you are the sole user of some memory, you can update it and other code will be none the wiser. This kind of thing is very important to build functional programs that are performant in practice.
sled
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SableDb – a key/value store that uses RocksDB and Redis API (written in Rust)
a few times, seems interesting. The author's also built a lot of other cool concurrency primitives for Rust as well.
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Is Something Bugging You?
- Dropbox [3] uses a similar approach but they talk about it a bit more abstractly.
Sans-IO is more documented in Python [4], but str0m [5] and quinn-proto [6] are the best examples in Rust I’m aware of. Note that sans-IO is orthogonal to deterministic test frameworks, but it composes well with them.
With the disclaimer that my opinions are mine and mine alone, and don’t reflect the company I work at —— I do work at a rust shop that has utilized these techniques on some projects.
TigerBeetle is an amazing example and I’ve looked at it before! They are really the best example of this approach outside of FoundationDB I think.
[0]: https://risingwave.com/blog/deterministic-simulation-a-new-e...
[1]: https://risingwave.com/blog/applying-deterministic-simulatio...
[2]: https://dropbox.tech/infrastructure/-testing-our-new-sync-en...
[3]: https://github.com/spacejam/sled
[4]: https://fractalideas.com/blog/sans-io-when-rubber-meets-road...
[5]: https://github.com/algesten/str0m
[6]: https://docs.rs/quinn-proto/0.10.6/quinn_proto/struct.Connec...
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RFC: redb (embedded key-value store) nearing version 1.0
How do you compare this to sled? https://github.com/spacejam/sled
Sled uses bw-tree actually https://github.com/spacejam/sled/wiki/sled-architectural-outlook
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Production grade databases in Rust
There is a valid argument to be made for threads over async in a large percentage of use cases where async is considered the default. If this is what you are referring to however, I don't think they ever referred to async as completely useless: https://github.com/spacejam/sled/issues/1123.
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Best local database that works on all platforms including web?
Have you looked into other pure-Rust databases as well, such as sled or GlueSQL which has an SQL interface on top of sled? I wonder how those would compare to Persy.
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Are there any embedded databases that have multiple-process support?
I'm not sure what you need. Are these of any use? https://github.com/meilisearch/heed https://github.com/spacejam/sled
- Some key-value storage engines in Rust
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Are there a demand for management system of embedded storage like RocksDB? I plan to build one in Rust as the language becoming a core of many popular databases but wonder if there’s a demand. Can’t find any similar project even in other languages.
There is also Sled but as I understand it that is being reworked to use the author's new DB core Marble
What are some alternatives?
crossbeam - Tools for concurrent programming in Rust
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.
RxRust - The Reactive Extensions for the Rust Programming Language
rust-rocksdb - rust wrapper for rocksdb
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
redis-rs - Redis library for rust
tokio-rayon - Mix async code with CPU-heavy thread pools using Tokio + Rayon
coroutine-rs - Coroutine Library in Rust
mini-redis - Incomplete Redis client and server implementation using Tokio - for learning purposes only