left-right
dashmap
| left-right | dashmap | |
|---|---|---|
| 5 | 12 | |
| 1,898 | 2,726 | |
| - | - | |
| 5.6 | 5.5 | |
| 8 months ago | 10 days ago | |
| Rust | Rust | |
| Apache License 2.0 | MIT License |
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.
left-right
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SQLite: Wal2 Mode
Very similar to the left-right pattern.
https://github.com/jonhoo/left-right
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I wanna be a crab.
C is much better specified than unsafe Rust. Some things are just not worked out yet in Rust. This may sometimes even bite very experienced devs, such as this issue with Box's aliasing semantics, which tripped up the author of left-right.
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New ScyllaDB Go Driver: Faster Than GoCQL and Its Rust Counterpart
Do you mean this? https://github.com/jonhoo/left-right
I am not sure of the performance or implementation difficulty but the data structure seems to be what you are talking about.
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Is Aliasing through a ManuallyDrop<T> sound?
For an example of aliasing data soundly see the aliasing module from left-right
- Writing a concurrent LRU cache
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?
triple-buffer - Implementation of triple buffering in Rust
hashbrown - Rust port of Google's SwissTable hash map
bus - Efficient, lock-free, bounded Rust broadcast channel
moka - A high performance concurrent caching library for Rust
evlru - An eventually consistent LRU designed for lock-free concurrent reads
HashMap - An open addressing linear probing hash table, tuned for delete heavy workloads
concurrentlinkedhashmap - A ConcurrentLinkedHashMap for Java
crossbeam - Tools for concurrent programming in Rust
concache - A linked-list based, lock-free concurrent hashmap in Rust.
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.
Caffeine - A high performance caching library for Java
megahash - A super-fast C++ hash table with Node.js wrapper, tested up to 1 billion keys.