Hi all, The Apache DataSketches community is pleased to announce the release of Apache DataSketches Rust 0.4.0.
Apache DataSketches Rust provides stochastic streaming algorithms, commonly called sketches, for approximate analysis of large data streams. Highlights of this release include: - New Tuple sketches, including union, intersection, A-not-B, Jaccard similarity, custom summary policies, and serialization. - Expanded Theta sketch support with union, A-not-B, Jaccard similarity, and exact sketch-state equality. - Estimated memory sizing across sketch families and stateful set operators. - Serialization, interoperability, and data-validation fixes for HLL, Frequencies, T-Digest, Theta, Bloom, and CPC sketches. This release also contains breaking API changes. Users upgrading from 0.3.0 should review the changelog. Official source downloads: https://datasketches.apache.org/docs/Community/Downloads.html Changelog: https://github.com/apache/datasketches-rust/blob/0.4.0/CHANGELOG.md Rust package: https://crates.io/crates/datasketches/0.4.0 API documentation: https://docs.rs/datasketches/0.4.0/datasketches/ Thank you to everyone who contributed, reviewed changes, tested the release candidate, and participated in the release vote. Best, Zili Chen (tison) on behalf of the Apache DataSketches community
