mysql-query-optimization

Analyze slow query logs using EXPLAIN ANALYZE, extended slow log, and optimizer histograms on Percona Server for MySQL to identify performance bottlenecks. This process evaluates index usage to discover missing or redundant indexes and plan measurable improvements.

Evaluate index usage by leveraging Percona-specific diagnostics like userstat per-table counters alongside pt-query-digest to discover missing or redundant indexes. Plan changes with measurable impact by validating improvements across real workloads.

Yes, this approach applies directly to workloads using Percona Server 8.x and 8.4+. It leverages specific features like invisible indexes and optimizer histograms to guide indexing decisions on these versions.

Analyze slow query logs by running pt-query-digest combined with PMM Query Analytics and extended slow log data. Validate indexing improvements by evaluating per-table counters and planning changes with measurable impact.

Use invisible indexes in MySQL to safely evaluate index usage and validate improvements across real workloads before making permanent changes. This allows testing indexing decisions without affecting active query execution.

Per-table counters, or userstat, are needed to identify bottlenecks and evaluate index usage accurately on Percona Server. They provide diagnostic data required to prioritize index changes based on real workload behavior.