What is the typical use case for the Redis Bloom filter?

Redis Bloom filter is a data structure used to quickly check if an element exists in a collection. It is often used in high-concurrency scenarios such as checking if a URL has been visited or if a user exists. By using multiple hash functions and a bit array, Bloom filter efficiently determines if an element is present with low storage requirements. However, due to its hash function usage, Bloom filter may have a certain false positive rate, meaning it may mistakenly identify a non-existing element as existing. Therefore, Redis Bloom filter is typically used in scenarios where a certain level of false positives is acceptable.