What causes SYNAPSE_SQL_0007?

Large table scan on a poorly distributed table causing data skew. Missing statistics causing the query optimizer to choose a bad execution plan. Inadequate DWU level for the query complexity. Unsupported join type causing a massive cross-distribution shuffle

How do I fix SYNAPSE_SQL_0007?

Step 1: Check the query execution plan with `EXPLAIN` in Synapse Studio.. Step 2: Update statistics: `UPDATE STATISTICS ;`. Step 3: Review distribution: ensure the table is distributed on the join/group-by key.. Step 4: Check for data skew: `DBCC PDW_SHOWSPACEUSED(' ');`. Step 5: Scale up DWUs for the duration of the heavy query.

High severitytimeout

Power BI Refresh Error:
SYNAPSE_SQL_0007

What does this error mean?

A Synapse SQL query exceeded the maximum execution time and was terminated.

Common causes

1Large table scan on a poorly distributed table causing data skew
2Missing statistics causing the query optimizer to choose a bad execution plan
3Inadequate DWU level for the query complexity
4Unsupported join type causing a massive cross-distribution shuffle

How to fix it

1Step 1: Check the query execution plan with `EXPLAIN` in Synapse Studio.
2Step 2: Update statistics: `UPDATE STATISTICS <table>;`
3Step 3: Review distribution: ensure the table is distributed on the join/group-by key.
4Step 4: Check for data skew: `DBCC PDW_SHOWSPACEUSED('<table>');`
5Step 5: Scale up DWUs for the duration of the heavy query.

Frequently asked questions

How do I monitor for Query Timeout in my pipelines?

Connect Azure Data Factory to MetricSign — failed pipeline runs trigger incident alerts with the root cause, so your team is notified before users notice report failures.

Official documentation: https://learn.microsoft.com/en-us/azure/synapse-analytics/sql/troubleshoot-synapse-studio