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papaya

(★ 938)

A fast and ergonomic concurrent hashmap for read-heavy workloads.

파일 탐색기

최종 버전 다운로드 (.zip)

- - check.yml
  - safety.yml
  - test.yml
- DOCS.md
- dashmap-hist.png
- Exchange.ahash.latency.svg
- Exchange.ahash.throughput.svg
- papaya-hist.png
- RapidGrow.ahash.latency.svg
- RapidGrow.ahash.throughput.svg
- ReadHeavy.ahash.latency.svg
- ReadHeavy.ahash.throughput.svg
- latency.rs
- single_thread.rs
- - std.rs
- .gitignore
- Cargo.lock
- Cargo.toml
- - alloc.rs
  - mod.rs
  - probe.rs
- lib.rs
- map.rs
- serde_impls.rs
- set.rs
- basic.rs
- basic_set.rs
- common.rs
- cuckoo.rs
- stress.rs
.gitignore
BENCHMARKS.md
Cargo.lock
Cargo.toml
LICENSE.md
README.md

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/ibraheemdev/papaya

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd papaya

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Rust

보통 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Rust (rustup) rustup으로 설치하면 cargo도 함께 설치됩니다.

cargo build --release

Rust 프로젝트를 컴파일합니다.

cargo run

빌드 후 바로 실행까지 진행합니다.

✅ cargo build가 에러 없이 끝나면 성공입니다. target/ 폴더에 실행 파일이 생성됩니다.

// repository documentation

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# `papaya`

[<img alt="crates.io" src="https://img.shields.io/crates/v/papaya?style=for-the-badge" height="25">](https://crates.io/crates/papaya)
[<img alt="github" src="https://img.shields.io/badge/github-papaya-blue?style=for-the-badge" height="25">](https://github.com/ibraheemdev/papaya)
[<img alt="docs.rs" src="https://img.shields.io/docsrs/papaya?style=for-the-badge" height="25">](https://docs.rs/papaya)

A fast and ergonomic concurrent hash-table for read-heavy workloads.

See [the documentation](https://docs.rs/papaya/latest) to get started.

## Features

- An ergonomic lock-free API — no more deadlocks!
- Powerful atomic operations.
- Seamless usage in async contexts.
- Extremely scalable, low-latency reads (see [performance](#performance)).
- Predictable latency across all operations.
- Efficient memory usage, with garbage collection powered by [`seize`].

## Performance

`papaya` is built with read-heavy workloads in mind. As such, read operations are extremely high throughput and provide consistent performance that scales with concurrency, meaning `papaya` will excel in workloads where reads are more common than writes. In write heavy workloads, `papaya` will still provide competitive performance despite not being it's primary use case. See the [benchmarks] for details.

`papaya` aims to provide predictable and consistent latency across all operations. Most operations are lock-free, and those that aren't only block under rare and constrained conditions. `papaya` also features [incremental resizing]. Predictable latency is an important part of performance that doesn't often show up in benchmarks, but has significant implications for real-world usage.

[benchmarks]: ./BENCHMARKS.md
[`seize`]: https://github.com/ibraheemdev/seize
[incremental resizing]: https://docs.rs/papaya/latest/papaya/enum.ResizeMode.html