v5
latestOpenAPI 3.1.02026-08-081,0211,3082.1 MBGet time-bucketed query metrics timeline for a warehouse
Get the time-bucketed metrics timeline powering the SQL warehouse Monitoring page's stacked charts (latency, queueing, scan size, cache hit rate, spill).
Hybrid-sourced: historical buckets come from the ClickHouse mirror, and the fresh tail the mirror hasn't ingested yet (up to ~24h) is read live from Databricks system tables via the Statement Execution API against the tenant's ingestion SQL warehouse — this will auto-start that warehouse if it is currently suspended. A live-tail failure degrades to a ClickHouse-only response rather than erroring.
The lookback window is capped at MAX_MONITORING_LOOKBACK_DAYS days regardless of what's requested — end_date is clamped to today and start_date is clamped to end_date - MAX_MONITORING_LOOKBACK_DAYS (silently, not a 400; the frontend's date-range picker clamps to the same bound).
Path parameters
Query parameters
Start date
Start date
End date
End date
Time granularity: 'hour' or 'day'
Time granularity: 'hour' or 'day'
Databricks instance id
Databricks instance id
Headers
Response
Successful Response