PostgreSQL Indexes helps review index usage and tuning opportunities for a monitored PostgreSQL server.
What To Review
- Index inventory.
- Usage patterns and low-use indexes where available.
- Missing or inefficient index opportunities where available.
- Relationship between indexes and expensive queries.
Workflow
- Open Indexes.
- Review high-impact index findings.
- Compare with Queries and Activity.
- Test index changes before applying them to production.
How To Review PostgreSQL Indexes
PostgreSQL index tuning should balance read performance against write overhead, storage, and maintenance. The Indexes page helps find indexes that support expensive queries, indexes that appear underused, and places where query patterns may benefit from a new or changed index.
Start from workload evidence. If PostgreSQL Queries shows a high-impact statement, use the Indexes page to check whether the relevant table has indexes that match the WHERE clause, join columns, and ordering. If a table has many indexes, review whether each index is used and whether write-heavy workloads are paying unnecessary maintenance cost.
Be careful with low-use index findings. An index may be critical for a monthly report, a rare emergency workflow, or a constraint-backed access pattern. Before dropping an index, confirm business usage and test in a non-production environment. For new indexes, consider whether a partial, composite, or covering index would solve the query with less overhead than a broad index.
PostgreSQL Index FAQ
Should I create every suggested index?
No. Validate suggestions against query plans, write overhead, storage, and production workload patterns.
Why can too many indexes hurt performance?
Every INSERT, UPDATE, and DELETE may need to maintain indexes. Extra indexes can slow writes and increase storage and vacuum work.
What evidence should I keep before changing indexes?
Record the query, table, current indexes, runtime, waits, and expected benefit. This makes rollback and before-and-after comparison easier.