Fast C# implementation of bloom filters packed in a .NET Standard library.
Bloom filters are probabilistic data structures aiming to eliminate entries from a data set at constant time. They use multiple hash functions to generate positions in a bitmap, so later on, at the check phase, non-zero bits that aren't found in the bitmap eliminate the given search vector. You can find example on how they work here.
To install the latest Bloomy package version into your project:
Install-Package Bloomy.Lib
A very simple use case is to add strings in a filter and check afterwards:
BasicFilter filter = new BasicFilter(50000, HashFunc.Murmur3);
filter.Insert("dotnet");
...
FilterResult res = filter.Check("dotnet");FilterResult.Presence gives:
- BloomPresence.NotInserted if the string is 100% NOT inserted in the filter
- BloomPresence.MightBeInserted if the string could be in the filter and the probability for a false positive is
FilterResult.Probability.
Feel free to open issues, submit PRs and especially use this lib and test it. This is still a WORK-IN-PROGRESS library as new and more robust features are to come.
MIT