erbloom

Safe and Fast Bloom Filter + FBFs for Erlang

Online Documentation

Features:

• Bloom filter structure (type: bloom)
• Forgetful Bloom Filters (type: fbf)

Supported OS:

• linux
• macos
• windows

Deps definition:

mix.exs: {:erbloom, "~> 2.1.0-rc.2"}

rebar.config: {erbloom, "2.1.0-rc.2"}

erlang.mk: dep_erbloom = hex 2.1.0-rc.2

Using as a lib

1. Add deps in rebar.conf:

{deps, [
    {erbloom, ".*", {git, "https://github.com/Vonmo/erbloom.git", {tag, "v2.0.2"}}}      
]}

2. Now you can create a new filter instance: {ok, Filter} = bloom:new(9585059,1000000). or filter with wanted rate of false positives: bloom:new_optimal(1000000, 0.55).
3. Create a new forgetful filter: {ok, Filter} = bloom:new_forgetful(BitmapSize, ItemsCount, NumFilters, RotateAfter). or with fp_rate: bloom:new_forgetful_optimal(ItemsCount, NumFilters, RotateAfter, FpRate).
4. Set a new element bloom:set(Filter, "somekey").
5. Check up element bloom:check(Filter, "anotherkey").
6. Serialize {ok, Binary} = bloom:serialize(Filter).
7. Deserialize bloom:deserialize(Binary).

Docker environment

• make build_imgs - build docker images
• make up - run sandbox
• make down - terminate sandbox
• make tests - run tests
• make lint - linter
• make xref - xref analysis
• make prod - generate release for target
• make doc - generate documentation from EDoc

Without docker you must install erlang >=20.1 and rust >=1.23 on your machine. After you can run these goals: release: rebar3 as prod release

test: rebar3 as test ct