Common SQL Errors

MySQL Error 3171: ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER - How to Fix Range Optimization Skips

Galaxy Team
August 8, 2025

MySQL skipped range optimization because its internal range optimizer exceeded memory or slot capacity.

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What is MySQL error 3171 (ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER)?

ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER means MySQL skipped range optimization after exhausting internal memory or range slots. Trim OR conditions, add supporting indexes, or raise range_optimizer_max_mem_size to restore optimized execution.

Error Highlights

Typical Error Message

ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER

Error Type

Query Optimization Error

Language

MySQL

Symbol

ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER was added in 5.7.9.

Error Code

3171

SQL State

HY000

Explanation

Table of Contents

What is MySQL error 3171 (ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER)?

Error 3171 appears when MySQL's range optimizer cannot allocate enough internal structures to evaluate all range conditions in the query.

Instead of producing efficient range scans, the optimizer falls back to less selective access paths, which can slow queries dramatically.

What Causes This Error?

The range optimizer tracks every disjunctive range it must evaluate. Excessive OR predicates, IN lists, or complex BETWEEN ranges can overflow its capacity.

Low values for range_optimizer_max_mem_size or limited RAM can trigger the condition even for moderate queries.

How to Fix ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER

First, simplify the WHERE clause by breaking large IN lists into temporary tables or replacing OR chains with UNION ALL.

If query rewrite is impossible, increase the session or global range_optimizer_max_mem_size to let MySQL allocate more memory for range analysis.

Common Scenarios and Solutions

Reports that filter on hundreds of dynamic IDs via IN (…) often hit the limit; moving the ID list into a temp table and joining restores range scans.

ETL jobs with generated OR predicates benefit from splitting the workload and processing smaller ID batches.

Best Practices to Avoid This Error

Create composite indexes that cover the most selective columns so the optimizer needs fewer ranges.

Monitor queries with EXPLAIN; if you see full table scans where range scans are expected, inspect predicate complexity before the error surfaces.

Related Errors and Solutions

ER_TOO_MANY_SELECTS signals excessive UNION depth and can co-occur with range capacity issues. Normalize the query structure to resolve both.

Common Causes

Large OR predicate chains

Hundreds of column = value conditions exceed the internal range slot limit.

Massive IN lists

Dynamic code that injects thousands of IDs into an IN clause pushes memory usage past range_optimizer_max_mem_size.

Low range_optimizer_max_mem_size

Default memory cap is too small for analytical workloads in older MySQL versions.

Missing supporting indexes

Without proper indexes, the optimizer must build more ranges to evaluate filters, increasing memory pressure.

Related Errors

ER_OPTIMIZER_PRUNED_LEVEL

Indicates that the optimizer pruned access paths due to complexity limits.

ER_MAX_JOIN_SIZE

Triggers when the estimated joined rows exceed max_join_size. Both errors point to oversized queries.

ER_TOO_MANY_SELECTS

Fires when a UNION contains too many SELECT statements, similar to range overflow.

ER_RANGE_NOT_CONSTANT

Shows that a range condition is not cacheable, often arising in complex predicates.

FAQs

Can I safely raise range_optimizer_max_mem_size?

Yes, but increase it gradually and monitor RAM usage to avoid server-wide memory pressure.

Does this error affect query correctness?

The query still returns correct results; only performance degrades because MySQL cannot use range access.

Which MySQL versions include this error code?

ER_CAPACITY_EXCEEDED_IN_RANGE_OPTIMIZER was introduced in MySQL 5.7.9 and exists in all later versions, including 8.0.

How does Galaxy help?

Galaxy's AI copilot can rewrite large OR predicates into UNION ALL or temp-table joins automatically, reducing the risk before queries hit production.

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