#lsm #rocksdb #leveldb #database #lsmt #block-index #bloom-filter

lsm-tree

A K.I.S.S. implementation of log-structured merge trees (LSM-trees/LSMTs)

10 releases (4 breaking)

0.6.3 Feb 27, 2024
0.6.1 Jan 25, 2024
0.2.3 Dec 25, 2023

#318 in Database implementations

Download history 376/week @ 2024-01-11 101/week @ 2024-01-18 76/week @ 2024-01-25 77/week @ 2024-02-01 82/week @ 2024-02-08 75/week @ 2024-02-15 259/week @ 2024-02-22 101/week @ 2024-02-29 119/week @ 2024-03-07 32/week @ 2024-03-14 6/week @ 2024-03-21 31/week @ 2024-03-28 14/week @ 2024-04-04 32/week @ 2024-04-11 15/week @ 2024-04-18

92 downloads per month
Used in fjall

MIT/Apache

310KB
7K SLoC

CI docs.rs Crates.io MSRV

A K.I.S.S. implementation of log-structured merge trees (LSM-trees/LSMTs) in Rust.

This crate only provides a primitive LSM-tree, not a full storage engine. For example, it does not ship with a write-ahead log. You probably want to use https://github.com/fjall-rs/fjall instead.

cargo add lsm-tree

About

This is the most feature-rich LSM-tree implementation in Rust! It features:

  • Thread-safe BTreeMap-like API
  • 100% safe & stable Rust
  • Block-based tables with LZ4 compression
  • Range & prefix searching with forward and reverse iteration
  • Size-tiered, (concurrent) Levelled and FIFO compaction
  • Multi-threaded flushing (immutable/sealed memtables)
  • Partitioned block index to reduce memory footprint and keep startup time tiny [1]
  • Block caching to keep hot data in memory
  • Bloom filters to increase point lookup performance (bloom feature, disabled by default)
  • Snapshots (MVCC)

Keys are limited to 65536 bytes, values are limited to 2^32 bytes. As is normal with any kind of storage engine, larger keys and values have a bigger performance impact.

Stable disk format

The disk format will be stable from 1.0.0 (oh, the dreaded 1.0.0...) onwards. Any breaking change after that will result in a major bump.

License

All source code is licensed under MIT OR Apache-2.0.

All contributions are to be licensed as MIT OR Apache-2.0.

Development

Run benchmarks

cargo bench --features bloom

Footnotes

[1] https://rocksdb.org/blog/2017/05/12/partitioned-index-filter.html

Dependencies

~5–15MB
~196K SLoC