Before we start talking about the actual extension, let's spend a moment on the concept of GIN. GIN is an acronym for Generalized Inverted Index. In this chapter, we assume that you know what an inverted index is. Using GIN libraries, it is possible to build indices for different data types; it is also possible to create B-tree-type indices with the use of the GIN library. The btree_gin extension can index the following data types: int2, int4, int8, float4, float8, timestamp with time zone, timestamp without time zone, time with time zone, time without time zone, date, interval, oid, money, char, varchar, text, bytea, bit, varbit, macaddr, macaddr8, inet, cidr, uuid, name, bool, bpchar, and enum types.
The question we need to ask is, When should we use tree_gin indices instead of default b-tree indices? As the structure of the GIN index is constructed, it is useful when we are dealing with fields with many records but low cardinality; in this case...
