Bloom Filter in Go

Source: https://en.wikipedia.org/wiki/Bloom_filter https://redis.io/docs/latest/develop/data-types/probabilistic/bloom-filter/ https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#table_engine-mergetree-data_skipping-indexes What is Bloom filter? When building high-performance systems, minimizing expensive operations like disk reads or remote database queries is critical. A Bloom filter is a highly space-efficient, probabilistic data structure designed to test whether an element is a member of a set. It was conceived by Burton Howard Bloom in 1970. Unlike standard data structures like hash tables or binary search trees that store the actual data, a Bloom filter only stores a cryptographic representation of the data. Because it does not store the raw elements, it requires a fraction of the memory.