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Benchmarking Rust storage engines

Home Page: https://marvin-j97.github.io/rust-storage-bench/

License: MIT License

HTML 0.66% CSS 0.62% TypeScript 29.93% Rust 62.96% JavaScript 5.73% Shell 0.09%

b-tree benchmark benchmarking btree database embeddable-database key-value-database key-value-store kv kv-store lsm-tree lsmt rust rust-lang sled ycsb

rust-storage-bench's Introduction

rust-storage-bench

Benchmarking Rust storage engines:

fjall Δ ★ (https://github.com/fjall-rs/fjall)
jammdb Ω (https://github.com/pjtatlow/jammdb)
nebari Ω (https://github.com/khonsulabs/nebari)
persy Ω ★ (https://persy.rs)
redb Ω ★ (https://www.redb.org)
sled Ψ (https://sled.rs)

Non-Rust (bindings):

rocksdb Δ (https://rocksdb.org/)
heed Ω (https://github.com/meilisearch/heed)

Δ LSM based
Ω B-tree based
Ψ Hybrid (Bw-Tree, ...)
★ has reached 1.0

Example usage

cargo build -r
alias bencher='cargo run --bin daemon -r --'

bencher --out task_e_fjall_lcs.jsonl --workload task-e --backend fjall --minutes 5 --key-size 8 --value-size 256 --items 1000 --cache-size 1000000

Run many benchmarks

node tasks.mjs <...filter>

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rust-storage-bench's Issues

Add SQLite?

While SQLite isn't officially a key-value store, it is often used as one, and has many advantages (mainly quality of code and long-term support), so it might be interesting to compare against a basic single table key value store, in rsqlite.

I have one lying around if you want the code (my code may be very inefficient, it's good enough for me :) )

Add nebari

https://github.com/khonsulabs/nebari

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