Turbocharging SQLite: How Bloom Filters Achieved a 10x Performance Boost
[Technical Overview] Bloom filters are probabilistic data structures renowned for their space and time efficiency in testing set membership. Unlike traditional data structures like hash tables that store actual data, bloom filters use a bit array and multiple hash functions. When an element is added, it’s hashed using multiple functions, and the corresponding bits are set in the array. To check if an element is in the set, the same hash functions are applied, and if all the corresponding bits are set, the element might be in the set (due to the possibility of false positives)....