Oracle Database Index Guide

Oracle Database Indexes: Types, Algorithms, and Examples

Use B-tree for common selective lookups, bitmap for low-cardinality analytical predicates in appropriate read-mostly systems, and specialized indexes only when their query and maintenance trade-offs fit.

What Is a Oracle Database 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 Oracle Database Index Algorithms Work

Oracle supports B-tree, bitmap, function-based, reverse-key, bitmap join, domain, and partitioned indexes. Selectivity, write concurrency, and workload determine which fits.

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

Oracle Database 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. Bitmap Join Indexes
  2. Bitmap Indexes
  3. B-tree Indexes
  4. Composite and Descending Indexes
  5. Prefix-Compressed Indexes
  6. Domain Indexes
  7. Function-Based Indexes
  8. Global Partitioned Indexes
  9. Invisible Indexes
  10. Index-Organized Tables (IOTs)
  11. Local Partitioned Indexes
  12. Reverse-Key Indexes

Which Oracle Database Index Should I Use?

Use B-tree for common selective lookups, bitmap for low-cardinality analytical predicates in appropriate read-mostly systems, and specialized indexes only when their query and maintenance trade-offs fit.

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 Oracle Database 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 Oracle Database 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.

Oracle Database 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: Oracle Database Concepts: Indexes and Index-Organized Tables.

Oracle Database 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.