Index Maintenance

In high-concurrency, high-throughput PostgreSQL databases, B-Tree indexes naturally experience physical page splitting due to continuous INSERT, UPDATE, and DELETE operations. Over time, these index structures accumulate dead space and structural fragmentation—a state known as Index Bloat. Bloated indexes degrade database performance in two major ways: They waste precious RAM inside shared_buffers, reducing memory available for table caching. They force the query executor to

Indexes are essential for accelerating read query performance in PostgreSQL. However, every index maintained on a table comes with a tangible performance cost. Each time an INSERT, UPDATE, or DELETE mutation occurs, PostgreSQL must synchronously update all associated B-Tree, GIN, or GiST index structures. Over time, active databases accumulate unused, duplicate, and overlapping indexes—often remnants of legacy software releases, redundant migration scripts, or temporary debug