sql-optimization-patterns

Fix slow SQL queries by analyzing EXPLAIN plans to spot sequential scans, bad joins, and missing indexes, then applying query rewrites and concrete index recommendations to reduce execution time.

Read an EXPLAIN plan to identify costly joins, sequential scans, and misestimated row counts, which pinpoint the exact database performance bottlenecks slowing down your query execution.

Eliminate N+1 queries and optimize pagination by rewriting expensive subqueries and aggregations into faster alternatives that reduce unnecessary database scans and improve access patterns.

Use composite, partial, expression, or covering indexes for query tuning when they directly address expensive scan patterns identified in your EXPLAIN plan and will actually improve execution time.

Yes, this query optimization approach works across relational databases including Postgres, applying schema design, index selection, and batch operations to improve query execution and maintenance.