💻 Web Architecture

Database Query Optimization: PostgreSQL Full-Text Search vs. Elasticsearch

By Enterprise Web Architecture & Full-Stack Engineering Review Board

Architectural Takeaways

Accelerating web data retrieval: composite indexes, GIN index full-text search in PostgreSQL, connection pooling (PgBouncer), and sub-50ms queries.

Database queries are the primary cause of slow backend response times. Implementing proper indexing strategies and connection pooling prevents server thread starvation.

1. Indexing Optimization Checklist

  • Composite B-Tree Indexes: Match multi-column query filtering patterns to avoid expensive sequential table scans.
  • PostgreSQL GIN Full-Text Indexing: Enables instant lexical search without the operational overhead of running a separate Elasticsearch cluster.
  • Connection Pooling with PgBouncer: Reuses active database connections, eliminating the 30ms latency cost of initializing new PostgreSQL processes.
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