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MySQL Hash Index Only Used With = Fix

DodaTech Updated 2026-06-24 2 min read

In this tutorial, you'll learn about MySQL Hash Index Only Used With = Fix. We cover key concepts, practical examples, and best practices.

A HASH index is not being used for range queries because HASH indexes only support equality comparisons, not range scans.

The Wrong Way

CREATE INDEX idx_hash ON users(email) USING HASH;
EXPLAIN SELECT * FROM users WHERE email > 'a@example.com'\G

Output:

type: ALL -- Full table scan
possible_keys: NULL

The Right Way

CREATE INDEX idx_btree ON users(email) USING BTREE;
EXPLAIN SELECT * FROM users WHERE email > 'a@example.com'\G

Output:

type: range -- Uses B-Tree index for range scan
key: idx_btree

Step-by-Step Fix

1. Understand that HASH indexes only support = and <=> (NULL-safe equality) queries

2. Use BTREE indexes for range queries (>, <, BETWEEN, LIKE without leading wildcard)

3. HASH indexes are typically only useful with the MEMORY storage engine

4. InnoDB automatically creates B-Tree indexes even when HASH is specified

5. Use EXPLAIN to verify which index type the optimizer chooses

Prevention Tips

  • Test all queries with the database's explain plan tool before deploying to production.
  • Monitor query performance trends using built-in monitoring tools.
  • Set up automated index usage analysis in CI/CD pipelines.
  • Review database configuration quarterly against workload patterns.
  • Keep database statistics up to date with regular maintenance operations.
  • Use DodaTech's monitoring tools to track query performance regressions.

Common Mistakes with index hash

  1. Mixing let bindings with <- bindings in do notation, producing type errors
  2. Overlapping type class instances that cause GHC to reject the program with ambiguous dispatch errors
  3. Non-exhaustive pattern matches that compile with warnings then crash at runtime

These mistakes appear frequently in real-world MYSQL code. DodaTech's contributors have identified these patterns through analysis of open-source projects and production systems.

Practice Exercise

Write a pure function that safely divides two integers using Maybe, then test it with edge cases like division by zero and negative numbers.

This exercise reinforces the concepts covered in this guide. Try implementing it before checking online solutions.

FAQ

### Does InnoDB support HASH indexes?

InnoDB does not support user-defined HASH indexes. If you specify USING HASH on an InnoDB table, MySQL silently creates a B-Tree index instead. InnoDB's Adaptive Hash Index is an internal feature that automatically promotes frequently accessed index pages to hash lookups and cannot be user-controlled.

How do I verify this fix is working?

Use mysql to connect to the database and run an explain plan query. Check that the output shows an index scan (IXSCAN, Index Scan, or similar) instead of a full scan (Seq Scan, COLLSCAN, or ALL). Monitor query latency to confirm improvement.

Can this fix impact other queries?

Index and configuration changes can affect other query patterns. Always test in a staging environment first. Review the explain plans of your top 5-10 queries after making changes to ensure no regressions.

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