lsm-tree 3.0.0-pre.0

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

[!NOTE] 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.

About

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

  • Thread-safe BTreeMap-like API
  • Mostly safe & 100% stable Rust
  • Block-based tables with compression support & prefix truncation
    • Optional block hash indexes in data blocks for faster point lookups [3]
    • Per-level filter/index block pinning configuration
  • Range & prefix searching with forward and reverse iteration
  • Block caching to keep hot data in memory
  • File descriptor caching with upper bound to reduce fopen calls
  • AMQ filters (currently Bloom filters) to improve point lookup performance
  • Multi-versioning of KVs, enabling snapshot reads
  • Optionally partitioned block index & filters for better cache efficiency [1]
  • Size-tiered, (concurrent) Leveled and FIFO compaction
  • Multi-threaded flushing (immutable/sealed memtables)
  • Key-value separation (optional) [2]
  • Single deletion tombstones ("weak" deletion)

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.

Feature flags

lz4

Allows using LZ4 compression, powered by lz4_flex.

Disabled by default.

bytes

Uses bytes as the underlying Slice type.

Disabled by default.

Stable disk format

The disk format is stable as of 1.0.0.

2.0.0 uses a new disk format and needs a manual format migration.

Future breaking changes will result in a major version bump and a migration path.

Run unit benchmarks

cargo bench --features lz4

License

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

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

Footnotes

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

[2] https://github.com/facebook/rocksdb/wiki/BlobDB

[3] https://rocksdb.org/blog/2018/08/23/data-block-hash-index.html