unagi-bloomfilter: A fast, cache-efficient, concurrent bloom filter
This library implements a fast concurrent bloom filter, based on bloom-1 from "Fast Bloom Filters and Their Generalization" by Y Qiao, et al.
A bloom filter is a probabilistic, constant-space, set-like data structure supporting insertion and membership queries. This implementation is backed by SipHash so can safely consume untrusted inputs.
The implementation here compares favorably with traditional set implementations in a single-threaded context, e.g. here are 10 inserts or lookups compared across some sets of different sizes:
With the llvm backend benchmarks take around 75-85% of the runtime of the native code gen.
Unfortunately writes in particular don't seem to scale currently; i.e. distributing writes across multiple threads may be slower than in a single-threaded context, because of memory effects. We plan to export functionality that would support using the filter here in a concurrent context with better memory behavior (e.g. a server that shards to a thread-pool which handles only a portion of the bloom array).
|Versions [faq]||0.1.0.0, 0.1.1.0, 0.1.1.1, 0.1.1.2|
|Dependencies||atomic-primops (>=0.8), base (>=4.7 && <5), bytestring, hashabler (>=1.3.0), primitive [details]|
|Source repo||head: git clone https://github.com/jberryman/unagi-bloomfilter.git|
|Uploaded||by BrandonSimmons at 2018-04-11T02:58:54Z|
|Downloads||2016 total (7 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
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