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InnoDB Tuning

Structured Markdown documentation to diagnose, measure, and optimize MySQL.

This page is original PmaControl documentation. It keeps a practical index structure for MySQL optimization work, without copying third-party content or depending on an external product.

Reading

InnoDB is the central engine of most MySQL deployments. Gains mainly come from the buffer pool, redo log, flush, and fewer random reads.

Method

  • Start from a concrete query, metric, or incident.
  • Read the plan with EXPLAIN or EXPLAIN ANALYZE when available.
  • Check cardinality, selectivity, join type, and temporary volume.
  • Deploy a minimal correction.
  • Measure the gain on the same workload interval.

Example

EXPLAIN SELECT *
FROM orders
WHERE customer_id = 42
ORDER BY created_at DESC
LIMIT 20;

A composite index (customer_id, created_at) can be relevant if this query is frequent and selective.