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DatabaseDec 5, 202410 min read

PostgreSQL Performance Optimization

Techniques and strategies for optimizing PostgreSQL queries and improving database performance.

By Execqute Team

PostgreSQL Performance Optimization


Database performance is critical for application scalability. This guide covers proven techniques for optimizing PostgreSQL.


Index Optimization


Indexes are your first line of defense:


-- Create index on frequently queried columns

CREATE INDEX idx_users_email ON users(email);


-- Composite index for multiple columns

CREATE INDEX idx_orders_user_date ON orders(user_id, created_at);


-- Partial index for specific conditions

CREATE INDEX idx_active_users ON users(id) WHERE active = true;


Query Optimization


Use EXPLAIN ANALYZE to understand query performance:


  • Avoid SELECT *
  • Use appropriate JOINs
  • Filter early in the query
  • Limit result sets

  • Connection Pooling


    Never create a new connection per request:


  • Use pgBouncer or built-in pooling
  • Set appropriate pool sizes
  • Monitor connection usage
  • Handle connection errors

  • Vacuum and Analyze


    Regular maintenance is essential:


    -- Analyze to update statistics

    ANALYZE users;


    -- Vacuum to reclaim space

    VACUUM ANALYZE;


    -- Auto-vacuum configuration

    ALTER TABLE users SET (autovacuum_vacuum_scale_factor = 0.1);


    Read Replicas


    Scale reads with replicas:


  • Configure streaming replication
  • Route read queries to replicas
  • Handle replication lag
  • Monitor replica health

  • Conclusion


    PostgreSQL performance tuning is an ongoing process. Measure, optimize, and repeat based on your specific workload patterns.


    #PostgreSQL#Performance#Optimization

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