PostgreSQL Performance Optimization: 5 Quick Wins for Busy Teams
Five PostgreSQL optimizations you can implement today without a full architecture overhaul.
PostgreSQLPerformanceDatabase
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"text": "Slow PostgreSQL queries cost real money. Users wait longer, you spend more on cloud resources, and your development team wastes time waiting on queries.",
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"text": "1. Add missing indexes. Use EXPLAIN ANALYZE on your slowest queries. If you see Seq Scan on a large table, you're missing an index. This is the single biggest win with the least effort.",
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"text": "2. Avoid SELECT *. Fetch only the columns you actually need. This reduces data transfer, improves cache hit rates, and makes queries faster.",
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"text": "3. Configure your work_mem. If you see Disk in your query plans, your work_mem is too low. Increasing it can move sorts and hash tables from disk to memory.",
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"text": "4. Vacuum and analyze regularly. PostgreSQL needs to know about table statistics to make good query plans. Set up auto-vacuum or run it manually during off-peak hours.",
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"text": "5. Use connection pooling. Opening a new database connection for every request is expensive. Use PgBouncer to pool connections and reduce overhead.",
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"text": "These five changes can often give you 2-5x improvement without touching your application code. Always measure before and after with EXPLAIN ANALYZE so you know what actually helped.",
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