Cloud, Data & Security · Guide · February 26, 2024

PostgreSQL Indexing Basics for Product Teams

Use query plans and real workload patterns to choose indexes instead of adding them to every filtered column.

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Putting ideas into practice
Cloud, Data & Security · Guide · February 26, 2024

Use query plans and real workload patterns to choose indexes instead of adding them to every filtered column.

  • PostgreSQL performance
  • database indexing
  • query optimization
  • database design

Find the slow query first

Inspect representative queries and execution plans before changing a schema. An index helps some reads but adds storage and write overhead, so its value depends on actual usage.

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Cloud, Data & Security

Cloud, Data & Security

Thoughtful decisions compound over time.

Practical product work brings technical choices back to the people and workflows they are meant to serve.

Match the index to the lookup

Consider filter conditions, sort order, selectivity, and composite column order. Validate the plan after creation using realistic data volumes rather than assuming the index will be used.

Watch for maintenance costs

Track query latency, index size, and write behavior after deployment. A database performance review can help connect application symptoms to query and schema improvements.

Practical application

Capture the slow query and its execution plan using representative data, then test a candidate index in staging. Compare read latency, write cost, and index size before shipping; remove unused indexes after observing real traffic.