Calvin's Bloom Filter Library
This is a dirt-simple Bloom filter for C++.
How to use this library
#include <calbloom/BloomFilter.hpp>
#include <random>
#include <cassert>
int main() {
// Source of randomness. Pick your favorite from <random>!
std::mt19937_64 generator;
// Construct a new Bloom filter with the given parameters.
int nbuckets = 100000;
int nhashes = 4;
calbloom::BloomFilter filter(nbuckets, nhashes, generator);
bool isNew = filter.insert(10);
assert(isNew);
isNew = filter.insert(10);
assert(!isNew);
assert(!filter.mightContain(9));
assert(filter.mightContain(10));
assert(!filter.mightContain(11));
return 0;
}
See also: test/main.cpp
.
This library is built on caluhash. See the docs there for how to implement hashing for custom types (so that you can insert non-integer values).
How to include this library in your project
If you use CMake:
cmake_minimum_required(VERSION 3.14) # or higher
...
include(FetchContent)
FetchContent_Declare(
calbloom_repo
GIT_REPOSITORY https://github.com/Calvin-L/calbloom.git
GIT_TAG main)
FetchContent_MakeAvailable(calbloom_repo)
...
target_link_libraries(YOUR_TARGET_HERE PRIVATE calbloom)
## If you need to hash custom types, you probably need to include caluhash as
## as well as calbloom.
#
# FetchContent_Declare(
# caluhash_repo
# GIT_REPOSITORY https://github.com/Calvin-L/caluhash.git
# GIT_TAG main)
# FetchContent_MakeAvailable(caluhash_repo)
#
# target_link_libraries(YOUR_TARGET_HERE PRIVATE caluhash)
Note that you may want to replace main
with a specific revision for stable
builds.