Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Applies to: SQL analytics endpoint and Warehouse in Microsoft Fabric
The queryinsights.sql_pool_insights in Microsoft Fabric Data Warehouse monitors resource allocation, tracks configuration changes, and identify periods when pools are under pressure.
| Column name | Data type | Description |
|---|---|---|
sql_pool_name |
nvarchar(128) | Name of the SQL pool. |
timestamp |
datetime2 | Timestamp when the health check or capacity change took place. |
max_resource_percentage |
int | Maximum resource percentage allocated to the pool. |
is_optimized_for_reads |
bit | Indicates if the pool is configured for read-optimized workloads. |
current_workspace_capacity |
nvarchar(16) | Capacity currently used by the workspace. |
is_pool_under_pressure |
bit | Indicates if the pool is under pressure. |
Remarks
In Fabric Data Warehouse, resource isolation is enforced between SELECT and NON SELECT pools, preventing contention. Two pools are present by default:
SELECT: Handles read (SELECT) queries, optimized for analytics/reporting.NON SELECTHandles data modification (INSERT,UPDATE,DELETE), optimized for ETL/ingestion.
Event-based reporting
- New records are logged when pool configuration, workspace capacity, or pressure state changes.
- Pressure state changes are logged if the pressure is sustained for 1 minute or longer.
- Events are only logged when the warehouse is active. If there is no activity on the warehouse, periodic events are paused and resume once activity is detected. This means that during periods of inactivity, there can be gaps in event logging until the warehouse becomes active again.
Permissions
You should have access to a SQL analytics endpoint or warehouse within a Fabric Capacity workspace with Contributor or above permissions or Viewer with Monitor permissions.
Examples
Use this view to correlate query performance issues with pool pressure and configuration changes. Visualize periods of pressure using window functions or external tools. Some examples follow:
A. Periods of pressure in the last 24 hours
Show periods when the SELECT pool was under pressure in the last 24 hours:
-- Show periods when the SELECT pool was under pressure in the last 24 hours
SELECT sql_pool_name, timestamp, is_pool_under_pressure
FROM queryinsights.sql_pool_insights
WHERE sql_pool_name = 'SELECT'
AND timestamp >= DATEADD(hour, -24, GETDATE())
AND is_pool_under_pressure = 1
ORDER BY timestamp DESC;
B. Visualize pressure trends
Calculate consecutive pressure periods and gaps using window functions:
-- Calculate consecutive pressure periods and gaps using window functions
SELECT sql_pool_name,
timestamp,
is_pool_under_pressure,
LAG(timestamp) OVER (PARTITION BY sql_pool_name ORDER BY timestamp) AS previous_event,
DATEDIFF(minute, LAG(timestamp) OVER (PARTITION BY sql_pool_name ORDER BY timestamp), timestamp) AS minutes_since_last_event
FROM queryinsights.sql_pool_insights
WHERE sql_pool_name = 'SELECT'
ORDER BY timestamp;
Next step
Related content
- Query insights in Fabric data warehousing
- Monitor connections, sessions, and requests using DMVs
- queryinsights.exec_requests_history (Transact-SQL)
- queryinsights.exec_sessions_history (Transact-SQL)
- queryinsights.long_running_queries (Transact-SQL)
- queryinsights.frequently_run_queries (Transact-SQL)