Diagnosing Azure SQL Database Plan Regression with Automatic Tuning Plan Correction
Identify and resolve Azure SQL Database plan regression using Automatic Tuning Plan Correction with a step‑by‑step diagnostic guide.
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Identify and resolve Azure SQL Database plan regression using Automatic Tuning Plan Correction with a step‑by‑step diagnostic guide.
Learn how to enable Query Store, identify a regressed query, force a known‑good plan, and verify the fix while understanding the overhead trade‑off.
Learn how to enable Query Store, capture a performance baseline, spot regressed statements after a deployment, and temporarily force a good plan while you work on a permanent fix.
Query Store lets you capture every query’s plan and runtime stats in SQL Server, giving a durable baseline for performance tuning and regression detection. Enable it once, tune retention, and use plan_compare to spot regressions in production.
Azure SQL Database can detect plan regressions via Query Store and automatically force the last good plan. Here's how FORCE_LAST_GOOD_PLAN works, how to inspect it, and where it falls short.
Parameter sniffing makes Azure SQL Database queries unstable across parameter values. Using Query Store to observe plan variance and plan forcing to lock a stable plan can provide deterministic performance without schema or code changes.