Expand description

Note: This crate is still in early development and undergoing API changes. Contributions, feature requests, and constructive feedback are warmly welcomed.

sharded   Build Crate

Sharded provides safe, fast, and obvious concurrent collections in Rust. This crate splits the underlying collection into N shards each with its own lock. Calling read(&key) or write(&key) returns a guard for a single shard.


  • Zero unsafe code. This library uses #![forbid(unsafe_code)] and was motivated by the complexity and amount of memory errors present in many alternatives.

  • Tiny footprint. The core logic is ~100 lines of code. This may build up over time as utilities and ergonomics are added. By default, the library only uses std and hashbrown. If you’d like to pull in some community crates such as parking_lot, ahash, etc.. just use add the corresponding feature.

  • Really fast. This implementation may be a more performant choice than some of the most popular concurrent hashmaps out there. Try it on your workload and let us know.

See Also

  • countrie - A concurrent hash-trie map & set.
  • dashmap - Blazing fast concurrent HashMap for Rust.
  • flurry - A port of Java’s java.util.concurrent.ConcurrentHashMap to Rust. (Also part of a live stream series)

Quick Start

sharded = { version = "0.1.0", features = ["fxhash", "parking_lot"] }


Insert a key value pair

let users = Map::new();
users.insert(32, "Henry");

Access a storage shard

Map provides read and write which give access to the underlying storage (which is built using hashbrown::raw). Both methods return a tuple of (Key, Guard<Shard>)

let (key, shard) = users.read(&32);
assert_eq!(shard.get(key), Some(&"Henry"));

Determine if a storage shard is locked

try_read and try_write are available for avoiding blocks or in situations that could deadlock

match users.try_read(&32) {
    Some((key, mut shard)) => Ok(shard.get(key)),
    None => Err(WouldBlock)

Performance Comparison

These measurements were generated using jonhoo/bustle. To reproduce the charts, see the benchmarks directory. Benchmarks can be misleading. It is recommended to benchmark using a real application workload.

Average Performance by Implementation

This ran each implementation over the presets in bustle::Mix for 5 iterations / random seeds using a Intel® Core™ i9-9820X. Lower numbers are better. Approaches using a single std::sync Lock and chashmap were discarded for clarity (they are a lot slower). If you know why chashmap is so slow in this test, please help here.

Read Heavy Performance) Write Heavy Performance) Update Heavy Performance) Uniform Performance)


Many thanks to

  • Reddit community for a few pointers and some motivation to take this project further.

  • Jon Gjengset for the live streams and utility crates involved

  • and countless OSS contributors that made this work possible


Licensed under either of Apache License, Version 2.0 or MIT license at your option.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in sharded by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.


pub use map::Map;


Type Definitions