From: Arnaud Becheler (arnaud.becheler_at_[hidden])
Date: 2025-04-21 14:57:53
Dear Boost community,
The review of the Boost.Bloom library begins on May 13th, 2025, and will
run through May 22nd, 2025.
Boost.Bloom is a header-only C++ library written by JoaquÃn M López Muñoz,
providing fast and flexible Bloom filters. These are space-efficient
probabilistic data structures used to test set membership with a
controllable false positive rate and minimal memory footprint. The library
supports a variety of configurations and hash policies and is designed to
integrate well with modern C++.
You can find the library here:
- Repo: https://github.com/joaquintides/bloom
- Documentation: https://master.bloom.cpp.al/
Bloom filters are especially useful when:
- You need to test if something is not in a large dataset, and can
tolerate a small false positive rate. (e.g., avoiding duplicate URL crawls
in a web crawler)
- You need a memory-efficient structure to represent large sets (e.g.,
checking for the presence of DNA subsequences across massive genomic
datasets)
- You want to avoid expensive lookups for items that are definitely not
present (e.g., filtering nonexistent records before querying a remote
database).
As always, we welcome all reviews — from quick impressions to detailed
analysis. Your feedback helps ensure that the library meets Boost's high
standards in terms of correctness, performance, documentation, and design.
If you’re interested in contributing a review, please post to the Boost
mailing list during the review period.
Note: All links to other parts of Boost in the Boost.Bloom documentation
are currently broken, as they were written with the assumption that the
library was already integrated into Boost - please do not account for those
in your review.
Thank you in advance for your time and insights!
Best regards,
Arnaud Becheler
Review Manager, Boost.Bloom