microsoft/bf-treePublic

Bf-Tree is a modern read-write-optimized concurrent larger-than-memory range index in Rust from MS Research.

AI summary: Concurrent, read-write-optimized index for larger-than-memory datasets written in Rust.

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RustMITCreated Dec 19, 2025Last push 9d ago+3 stars this week+3 this month

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since Jan 11, 2026
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Signals and awards

derived from tracked data
  • Permissive license

    MIT

  • Continuous integration

    Automated checks passing

What bf-tree does

Bf-Tree is a highly advanced range index data structure developed by Microsoft Research (MSR), designed for datasets that exceed available RAM. Implemented in Rust, it balances the read performance of traditional B-Trees with the write optimization of LSM-trees. It handles highly concurrent workloads by employing a novel buffer management strategy, making it ideal for modern database storage engines where both high ingestion rates and fast range queries are critical.

Database engineers, systems researchers, and Rust developers building low-level storage engines. It requires deep understanding of concurrent data structures and I/O optimization.

  • Larger-than-memory design: efficiently pages data to disk without severe performance degradation.
  • Read-write balance: achieves high throughput for both random insertions and sequential range scans.
  • Rust implementation: guarantees memory safety and thread-safe concurrency without garbage collection pauses.
  • High concurrency: utilizes lock-free or highly granular locking mechanisms for multi-threaded access.
  • Research backed: based on a published VLDB 2024 paper detailing its algorithmic innovations.

Where teams use it

Database engine development

Embed as the core storage index for a new, high-performance analytical or transactional database.

High-throughput ingestion

Index massive streams of telemetry or log data while still allowing fast, real-time querying.

Storage research

Study the Rust implementation of modern, SSD-optimized tree structures.

Memory-constrained indexing

Manage massive datasets on hardware where RAM is relatively small compared to disk size.

Getting started: cargo add bf_tree

README

main branch

Bf-Tree

Bf-Tree is a modern read-write-optimized concurrent larger-than-memory range index in Rust from MSR.

Design Details

You can find the Bf-Tree research paper here. You can find more design docs here.

User Guide

Rust

Bf-Tree is written in Rust, and is available as a Rust crate. You can add Bf-Tree to your Cargo.toml like this:

$ cargo add bf_tree

Which will add bf_tree as a dependency to your Cargo.toml

[dependencies]
bf-tree = "0.5.5"

An example use of Bf-Tree:

use bf_tree::BfTree;
use bf_tree::LeafReadResult;

let mut config = bf_tree::Config::default();
config.cb_min_record_size(4);
let tree = BfTree::with_config(config, None).unwrap();
tree.insert(b"key", b"value");

let mut buffer = [0u8; 1024];
let read_size = tree.read(b"key", &mut buffer);

assert_eq!(read_size, LeafReadResult::Found(5));
assert_eq!(&buffer[..5], b"value");

Snapshots and Recovery

Bf-Tree supports CPR-style consistent snapshots. A snapshot captures a consistent prefix of all in-flight transactions to a file, and a tree can later be reconstructed from such a snapshot file.

To enable snapshots, set use_snapshot(true) on the Config before creating the tree. Once enabled, call [BfTree::cpr_snapshot] with the destination path to take a snapshot at any point. Snapshots can be taken concurrently with ongoing reads and writes; only one snapshot may be in progress at a time.

To recover a tree from a snapshot file, use [BfTree::new_from_cpr_snapshot]. The snapshot file embeds most configuration fields (record sizes, leaf page size, cache-only flag, etc.), so the caller only needs to specify the recovery-time options:

  • recovery_snapshot_file_path: path of the snapshot file to recover from.
  • use_snapshot: whether the recovered tree should itself support taking new snapshots.
  • buffer_ptr: optional pointer to a pre-allocated cache buffer; pass None to let Bf-Tree allocate one.
  • buffer_size: optional override of the cache size stored in the snapshot. If smaller than the original, recovery may fail because cached pages from the snapshot must fit in memory.
  • wal: optional write-ahead log configuration for the recovered tree.
use bf_tree::{BfTree, Config};
use std::path::PathBuf;

let mut config = Config::default();
config.use_snapshot(true);
let tree = BfTree::with_config(config, None).unwrap();

tree.insert(b"key", b"value");

// Take a CPR snapshot of the current tree state.
tree.cpr_snapshot("snapshot.bftree");

// Recover a bf-tree from a CPR snapshot
let tree = BfTree::new_from_cpr_snapshot(
    "snapshot.bftree",
    /* use_snapshot */ true,
    /* buffer_ptr */ None,
    /* buffer_size */ None,
    /* wal */ None,
).unwrap();
std::fs::remove_file("snapshot.bftree");

You can check whether all active threads have transitioned to the next snapshot version during a snapshot (i.e., all threads are operating in v + 1) with:

let ready = tree.are_all_threads_in_next_snapshot_version();

This is useful for coordinating external systems that need to wait until a snapshot's data is fully consistent but not the whole snapshot to finish before proceeding. Note that, this function returns false if no ongoing snapshot.

Notes:

  • The snapshot file path passed to cpr_snapshot must be different from the path used by any concurrent recovery.
  • For more on the snapshot/recovery design, see doc/snapshot-recovery.md.

PRs are accepted and preferred over feature requests. Feel free to reach out if you have any design questions.

Developer Guide

Building

Prerequisite

Bf-Tree supports Linux, Windows, and macOS, although only a recently version of Linux is rigorously tested. Bf-Tree is written in Rust, which you can install here.

Please install pre-commit hooks to ensure that your code is formatted and linted in the same way as the rest of the project; the coding style will be enforced in CI, these hooks act as a pre-filter.

# If on Ubuntu
sudo apt update && sudo apt install pre-commit
pre-commit install

Build

cargo build --release

Testing

Unit Tests

cargo test

Shuttle Tests

Concurrent systems are nondeterministic, and subject to exponential amount of different thread interleaving. We use shuttle to deterministically and systematically explore different thread interleaving to uncover the bugs caused by subtle multithread interactions.

# Core Bf-tree concurrent operations (~5 minutes)
cargo test --features "shuttle" --release shuttle_bf_tree_concurrent_operations

# CPR snapshot with disk-backed storage (fast, < 1s)
cargo test --features "shuttle" --release shuttle_cpr_snapshot_disk

# CPR snapshot with cache-only (in-memory) storage
cargo test --features "shuttle" --release shuttle_cpr_snapshot_cache_only

To replay a specific failing schedule (generated automatically on failure into target/schedule000.txt):

cargo test --features "shuttle" --release shuttle_replay -- --nocapture

Fuzz Tests

Fuzz testing is a bug finding technique that generates random inputs to the system and test for crash. Bf-Tree employs fuzzing to generate random operation sequences (e.g., insert, read, scan) to the system and check that none of the operation sequence will crash the system or lead to inconsistent state. Check the fuzz folder for more details.

Benchmarking

Check the benchmark folder for more details.

cd benchmark
env SHUMAI_FILTER="inmemory" MIMALLOC_LARGE_OS_PAGES=1 cargo run --bin bftree --release

More advanced benchmarking, with metrics collecting, numa-node binding, huge page, etc:

env MIMALLOC_SHOW_STATS=1 MIMALLOC_LARGE_OS_PAGES=1 MIMALLOC_RESERVE_HUGE_OS_PAGES_AT=0 numactl --membind=0 --cpunodebind=0 cargo bench --features "metrics-rt" micro

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Contributing

Please see CONTRIBUTING.md.

Security

See SECURITY.md for security reporting details.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.

Contact

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21 commits in the last 52 weeks.

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