postgres-impl-schema-archaeology

Schema auditing in PostgreSQL detects unused indexes and orphaned sequences by extensively querying the pg_catalog. This process reveals redundant structures and legacy serial columns that cause performance overhead and data integrity risks.

Auditing an unfamiliar legacy PostgreSQL database is best done by introspecting schemas, tables, and indexes to pinpoint missing constraints and orphan rows. This deep dive prevents future data integrity issues and performance degradation.

This schema analysis approach does not work with PostgreSQL 14; it strictly requires PostgreSQL 15, 16, or 17. It relies on specific pg_catalog features available only in these newer versions to ensure fast and reliable database insights.

Database schema analysis uses pg_catalog to detect redundant indexes by introspecting index metadata and usage statistics. This mechanism identifies overlapping or duplicated indexes so you can remove them to reduce write overhead.

To identify orphan rows and missing constraints in a database schema, you perform a deep analysis of table relationships using pg_catalog. This detects structural issues early, preventing severe data integrity risks before they impact production.