PostgreSQL Partial and Expression Indexes Can Cut Index Size by 90%, Boost Query Speed
PostgreSQL supports partial indexes with WHERE clauses and expression indexes on computed values, two features that most ORM-generated schemas overlook entirely. Partial indexes restrict which rows are stored in an index, dramatically reducing size — one example showed a drop from 2.1 GB to 42 MB by filtering only active users. Expression indexes store the result of a function, enabling fast lookups for operations like case-insensitive email searches or JSONB field queries, with one benchmark showing query time falling from 3,100 ms to 1.1 ms. Four production patterns are highlighted: soft-delete filtering, multi-tenant row isolation, case-insensitive search, and JSONB field indexing. Developers are advised to run ANALYZE manually after creating these indexes in production, as the query planner requires up-to-date statistics to make correct execution decisions.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)
Log in to join the discussion and vote.
Log in