Bloom filter

A Bloom filter is one of the probabilistic data structures supported by Redis Stack and is used to test whether an item is a member of a set. It is crucial as a data deduplication solution – that is, for removing duplicated data from a set. It is a memory-efficient and fast data structure that uses a bit array and a set of hash functions to determine whether an item is in the set or not. Testing for membership to the filter can return “possibly in the set” or “definitely not in the set,” which means that false positives are possible, but false negatives are not. Imprecisions (or approximations) are around the corner in every aspect of life, and digital computing does not make any difference. Think of the lossy compression algorithms for images (JPEG) or audio files (MP3): we can still enjoy media files and not even realize there is a loss of quality. A Bloom filter simplifies the management and speed of solutions that require the existence...