Introducing SQL Pool Insights in Microsoft Fabric Data Warehouse
SQL Pool Insights is a powerful new monitoring capability in Microsoft Fabric Data Warehouse designed to give you actionable insights into SQL pool performance and resource utilization. This feature is part of the Query Insights (QI) schema, extending the monitoring experience customers already know and love.
SQL Pool Insights addresses a long-standing customer need: understanding whether your pools are under pressure and how configuration changes impact workloads.
With SQL Pool Insights, you can now track resource allocation, monitor pressure events, and correlate performance trends — all within the Query Insights framework.
Why SQL Pool Insights matters
Modern analytics workloads demand transparency and control. Until now, customers had limited visibility into how their out-of-the-box pools (SELECT and NON SELECT) behaved under varying conditions.
Query Insights already provides historical query execution data and performance metrics.
SQL Pool Insights complements this by adding pool-level telemetry:
- Real-time monitoring of pool health and pressure states.
- Historical data for configuration changes and capacity adjustments.
- Event-based logging for pressure periods lasting more than one minute.
- Resource isolation validation between SELECT and NON SELECT pools.
- Correlate Performance Issues Combine insights from SQL Pool Insights with other Query Insights views (e.g., exec_requests_history, long_running_queries) for a complete picture of query execution and resource usage.
This means faster troubleshooting, better capacity planning, and improved performance for your most critical queries.
How it works
SQL Pool Insights introduces a new system view in Query Insights:
SELECT * FROM queryinsights.sql_pool_insights;
This view logs events whenever:
- Pool configuration changes.
- Workspace capacity SKU changes.
- Pressure state changes persist for at least one minute.
Example scenario
Correlate Pressure Window with Queries using queryinsights.exec_requests_history
WITH Pool_Pressure_Events AS ( SELECT DISTINCT timestamp FROM queryinsights.sql_pool_insights WHERE is_pool_under_pressure = 1 ) SELECT * FROM queryinsights.exec_requests_history AS erh JOIN Pool_Pressure_Events AS ppe ON ppe.timestamp BETWEEN erh.start_time AND erh.end_time
Learn more
Explore the full documentation and start using SQL Pool Insights.
Query Insights in Fabric Data Warehousing
