The hidden cost of PostgreSQL arrays | boringSQL

This article delves into the complexities of using arrays in PostgreSQL, exploring how they function as document storage, the performance implications of TOAST, indexing strategies with GIN vs B-tree, the nuances of the ANY() operator, and when arrays are more efficient than junction tables. It also covers practical considerations like slicing arrays, the impact of large arrays on performance, and the benefits of using specialized extensions like intarray and pgvector.