concurrentlinkedhashmap
dashmap
concurrentlinkedhashmap | dashmap | |
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1 | 12 | |
458 | 2,739 | |
- | - | |
10.0 | 5.1 | |
over 3 years ago | 20 days ago | |
Java | Rust | |
Apache License 2.0 | MIT License |
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concurrentlinkedhashmap
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Writing a concurrent LRU cache
Part 1 makes sense, 2 is a little confusing. The blog post ends up using this Java library: https://github.com/ben-manes/concurrentlinkedhashmap which implements those ideas. I am curious if there is something equivalent implemented in rust, or is it something I should write? Also is there an even better way to do thread-safe performant LRU?
dashmap
- StupidAlloc: what if memory allocation was bad actually
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dashmap VS scalable-concurrent-containers - a user suggested alternative
2 projects | 13 Apr 2023
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Samsara, a safe Rust concurrent cycle collector
The problem is, every single one of these half-dozen crates has at least one known major issue (including UAF), exactly like C++ implementations (which isn't surprising since it's the kind of things where the ownership isn't clear and then the borrow checker can't help us).
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Rust vs Go
Deadlocks and leaks are easy as other languages.
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Shared mutable state is bad... so how do I create a global cache in a multi-threaded app?
Have you considered https://github.com/xacrimon/dashmap ?
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Announcing Leapfrog, a faster concurrent HashMap
Dashmap made some api changes compared to the stdlibs hashmap, which leads to some oddities, as highlighted here: https://github.com/xacrimon/dashmap/issues/175
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Writing a concurrent LRU cache
Some additional notes are in this slide deck and the implementation javadoc. You'd probably want to use something like DashMap for the hash table.
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HashMap-based cache for async programs
You can look at existing concurrent maps like Dashmap https://github.com/xacrimon/dashmap or Cashmap https://gitlab.redox-os.org/redox-os/chashmap
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How does one avoid lock of locks? or use the technique of latch crabbing of databases
Also dashmap
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Noteworthy concurrent data structures?
The only one I've used is Dashmap, it's a concurrent interior-mutability hashmap. Very convenient crate in the case you need that.
What are some alternatives?
Caffeine - A high performance caching library for Java
hashbrown - Rust port of Google's SwissTable hash map
moka - A high performance concurrent caching library for Rust
concache - A linked-list based, lock-free concurrent hashmap in Rust.
HashMap - An open addressing linear probing hash table, tuned for delete heavy workloads
left-right - A lock-free, read-optimized, concurrency primitive.
crossbeam - Tools for concurrent programming in Rust
evlru - An eventually consistent LRU designed for lock-free concurrent reads
leapfrog - Lock-free concurrent and single-threaded hash map implementations using Leapfrog probing. Currently the highest performance concurrent HashMap in Rust for certain use cases.
stretto - Stretto is a Rust implementation for Dgraph's ristretto (https://github.com/dgraph-io/ristretto). A high performance memory-bound Rust cache.
megahash - A super-fast C++ hash table with Node.js wrapper, tested up to 1 billion keys.