MySQL Query Optimization Best Practices for Analysts

Fast queries come from good habits, not heroics. These best practices keep your analytical workloads snappy as data grows from thousands of rows to millions.

Key Points

• Filter early: push WHERE conditions before joins and aggregations where possible
• Join on indexed key columns with matching data types
• Avoid leading wildcards (LIKE '%term') — they can't use B-tree indexes
• Paginate deep result sets with keyset pagination, not huge OFFSETs
• Pre-aggregate heavy metrics into summary tables for dashboards
• Test on realistic data volumes — everything is fast on 100 rows