Microsoft SQL Server Index Guide

Microsoft SQL Server Indexes: Types, Algorithms, and Examples

Choose rowstore for selective transactional seeks, columnstore for analytics, filtered indexes for stable subsets, and specialized structures for XML, spatial, or text queries.

What Is a Microsoft SQL Server 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 Microsoft SQL Server Index Algorithms Work

SQL Server supports rowstore B-trees, columnstore indexes, and specialized XML, spatial, full-text, and memory-optimized indexes. Clustered rowstore leaves contain table rows.

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

Microsoft SQL Server 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. Clustered Rowstore Indexes
  2. Columnstore Indexes
  3. Filtered Indexes
  4. Full-Text Indexes
  5. Indexed Views
  6. JSON Property Indexes with Computed Columns
  7. Memory-Optimized Hash Indexes
  8. Nonclustered and Included-Column Indexes
  9. Partitioned Indexes
  10. Spatial Indexes
  11. Unique Indexes
  12. XML Indexes

Which Microsoft SQL Server Index Should I Use?

Choose rowstore for selective transactional seeks, columnstore for analytics, filtered indexes for stable subsets, and specialized structures for XML, spatial, or text queries.

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 Microsoft SQL Server 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 Microsoft SQL Server 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.

Microsoft SQL Server 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: Microsoft Learn: SQL Server Indexes.

Microsoft SQL Server 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.