🎁 New User? Get 20% off your first purchase with code NEWUSER20 Register Now →
Menu

Categories

Databases Intermediate

What is Query Optimization?

The process of improving database query performance through indexing, query rewriting, and schema design techniques.

Query optimization starts with EXPLAIN ANALYZE to understand execution plans. Common optimizations include adding indexes on frequently filtered/joined columns, rewriting subqueries as JOINs, avoiding SELECT *, and using LIMIT for pagination.

Advanced techniques include partial indexes (index subset of rows), covering indexes (include all needed columns), materialized views (pre-computed results), query caching, and connection pooling. Regular ANALYZE ensures the query planner has current statistics.

Related Terms

Materialized View
A database object that stores the precomputed result of a query, offering faster reads at the cost of periodic refresh.
Row-Level Security (RLS)
A database feature that restricts which rows a user can access in a table based on security policies.
Database Connection Pooling
A technique that maintains a cache of database connections for reuse, reducing the overhead of creating new connections.
Database Proxy
A middleware server that sits between applications and databases, providing connection pooling, load balancing, and query routing.
Partitioning
A technique of dividing large database tables into smaller, more manageable segments while maintaining a single logical table.
Elastic Search
A distributed search and analytics engine built on Apache Lucene, optimized for full-text search and log analysis.
View All Databases Terms →