PostgreSQL Index Guide

PostgreSQL Indexes: Types, Algorithms, and Examples

Start with B-tree for ordinary equality, range, sorting, and uniqueness. Use GIN for component membership, GiST or SP-GiST for supported specialized operators, and BRIN for huge physically correlated tables.

What Is a PostgreSQL Index?

An index is a data structure that helps the database find candidate records without scanning every row. It can accelerate matching queries but requires storage and maintenance during writes.

How PostgreSQL Index Algorithms Work

PostgreSQL provides B-tree, Hash, GiST, SP-GiST, GIN, and BRIN access methods, plus the optional Bloom extension. Operator classes decide which operators each index can accelerate.

PostgreSQL index lookup algorithm diagram
Conceptual algorithm illustration for PostgreSQL; implementation details depend on index type and database version.

PostgreSQL Index Types and Individual Guides

Each link opens its own guide with an algorithm image, create/query example, use cases, limitations, and tuning steps.

  1. Bloom Extension Indexes
  2. BRIN Block Range Indexes
  3. B-tree Indexes
  4. Expression Indexes
  5. GIN Inverted Indexes
  6. GiST Indexes
  7. Hash Indexes
  8. Covering Indexes with INCLUDE
  9. Multicolumn Indexes
  10. Partial Indexes
  11. SP-GiST Indexes
  12. Unique and Exclusion Indexes

Which PostgreSQL Index Should I Use?

Start with B-tree for ordinary equality, range, sorting, and uniqueness. Use GIN for component membership, GiST or SP-GiST for supported specialized operators, and BRIN for huge physically correlated tables.

Start with the query workload, required consistency, ordering, data distribution, and write rate. Do not select a structure from its name alone.

Match Indexes to Filters, Sorts, and Joins

Write down the actual predicates, sort keys, joins, and returned columns. The order of keys and supported operators determine whether the engine can use an index.

How to Read PostgreSQL Query Plans

Use the engine's explain or execution-plan tooling to compare estimated and actual rows, keys examined, pages read, sorting, filtering, and lookup operations.

Index Storage and Write Performance

Indexes use disk and cache and add work to inserts, updates, and deletes. Specialized indexes may emit multiple entries per row or maintain separate structures.

Index Statistics and Maintenance

Monitor size, usage, build state, selectivity, fragmentation or compaction where relevant, and write latency. Make maintenance changes using the engine's version-specific procedures.

Common PostgreSQL Indexing Mistakes

  • Adding indexes without checking real query plans.
  • Ignoring key order, operator compatibility, or data distribution.
  • Assuming an index removes all filtering or row-fetch work.
  • Forgetting write amplification, backups, and deployment impact.

PostgreSQL Index Version and Feature Notes

Available index types and behavior vary by engine release, storage engine, extension, edition, data type, and operator. Verify each feature against the database actually deployed.

Official reference: PostgreSQL documentation: Index Types.

PostgreSQL Indexing Questions

Does adding an index guarantee a faster query?

No. The optimizer may choose a table or partition scan when many rows match or index lookups would cost more.

Should every searchable column have an index?

No. Index only measured workloads and account for maintenance, storage, and data distribution.