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High severitycapacityMicrosoft Fabric

Power BI Refresh Error:
Query failure due to tempdb space issue

What does this error mean?

A query failed because the internal tempdb system database ran out of available space during execution. TempDB is used by the Fabric Warehouse engine for intermediate sorting, spilling, and temporary storage, and cannot be configured by users.

Common causes

  • 1Queries with large sorts, hash joins, or aggregations that spill intermediate results to tempdb
  • 2Multiple concurrent heavy queries exhausting shared tempdb space simultaneously
  • 3Unoptimized queries scanning very large tables without predicate pushdown, generating excessive intermediate data
  • 4Use of complex CTEs or subqueries that materialize large intermediate result sets

How to fix it

  1. 1Step 1: Review the failing query for large unbounded sorts, Cartesian joins, or aggregations across very wide result sets — these are the most common drivers of tempdb spill.
  2. 2Step 2: Add or improve WHERE clause filters and partition pruning so the query processes fewer rows before aggregation or sorting stages.
  3. 3Step 3: Break large monolithic queries into smaller incremental steps, materializing intermediate results into user tables rather than relying on tempdb for all intermediate storage.
  4. 4Step 4: Reduce query concurrency by staggering heavy workloads — if multiple large queries run simultaneously, their combined tempdb usage can exceed available space even if each query alone would succeed.
  5. 5Step 5: If the issue persists after query optimization, open a Microsoft Fabric support request, as tempdb capacity is managed by the service and may require platform-level intervention.

Frequently asked questions

Can I increase the size of tempdb in Fabric Warehouse?

No. TempDB in Fabric Warehouse is a system-managed resource that users cannot access or configure. Your only levers are query optimization to reduce spill and workload scheduling to reduce concurrency.

Does buying more Fabric capacity fix this problem?

Potentially yes — higher Fabric capacity SKUs generally receive more compute and storage resources, which can increase tempdb headroom. However, query optimization should always be the first step before scaling capacity.

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