Our Modular, High-Performance Merkle Tree Library for Rust
Posted3 months agoActive3 months ago
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Rust
Merkle Tree
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The HN community is introduced to a new Rust library for Merkle Trees, with discussion focusing on its performance, modularity, and potential use cases.
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* Fixed depth: All proofs have a constant size equal to the depth of the tree. The depth can be configured via a const generic.
* Append-only: Leaves are added sequentially starting from index 0. Once added, a leaf cannot be modified.
* Optimized for Merkle proof retrieval: Intermediate nodes are stored so that proofs can be fetched directly from storage without recomputation, resulting in very fast retrieval times.
* Configurable storage and hash functions: Currently supports Keccak and Poseidon hashers, and in-memory, Sled, RocksDB, and SQLite stores.
The Rust ecosystem already offers several Merkle tree implementations, but rs-merkle-tree is built for a specific use case: append-only data structures such as blockchains, distributed ledgers, audit logs, or certificate transparency logs. It’s particularly optimized for proof retrieval, storing intermediate nodes in a configurable and extensible storage backend so they don’t need to be recomputed when requested.
For example, here is a slick web site that shows how certificate transparency uses Merkle trees: https://certificate.transparency.dev/howctworks/
There's a list of other common hashing cases on the Wikipedia entry: https://en.wikipedia.org/wiki/Merkle_tree#Uses
[1]: https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/...
Also, ETags can use weak validators:
> W/ (case-sensitive) indicates that a weak validator is used. Weak ETags are easy to generate, but are far less useful for comparisons. Strong validators are ideal for comparisons but can be very difficult to generate efficiently. Weak ETag values of two representations of the same resources might be semantically equivalent, but not byte-for-byte identical. This means weak ETags prevent caching when byte range requests are used, but strong ETags mean range requests can still be cached.
Also do you have any benchmarks in the repo that would stress the I/O layer for latency too?
Build something useful in Rust and not mention that it's in fact built in Rust.
Difficulty:
Impossible