What causes 000630 (57014)?

A full table scan on a large table without partition pruning or clustering key benefit. A complex join between large tables that requires a massive sort or hash operation. The STATEMENT_TIMEOUT_IN_SECONDS parameter is set too low for the query complexity. Warehouse size is too small to process the query within the timeout. A runaway query caused by an accidental cartesian join

How do I fix 000630 (57014)?

Use EXPLAIN to review the query execution plan and identify full table scans or large joins. Add partition filters or use clustering keys to reduce the data scanned. Increase STATEMENT_TIMEOUT_IN_SECONDS for the session or user if the query is genuinely complex. Scale up the virtual warehouse to process the query faster. Check for cartesian joins (missing join conditions) and add the correct join predicate

Medium severityexecution

Power BI Refresh Error:
000630 (57014)

What does this error mean?

A Snowflake SQL statement was canceled because it exceeded the statement timeout limit. The query was actively running but was killed before completing.

Common causes

1A full table scan on a large table without partition pruning or clustering key benefit
2A complex join between large tables that requires a massive sort or hash operation
3The STATEMENT_TIMEOUT_IN_SECONDS parameter is set too low for the query complexity
4Warehouse size is too small to process the query within the timeout
5A runaway query caused by an accidental cartesian join

How to fix it

1Use EXPLAIN to review the query execution plan and identify full table scans or large joins
2Add partition filters or use clustering keys to reduce the data scanned
3Increase STATEMENT_TIMEOUT_IN_SECONDS for the session or user if the query is genuinely complex
4Scale up the virtual warehouse to process the query faster
5Check for cartesian joins (missing join conditions) and add the correct join predicate

Frequently asked questions

Where is STATEMENT_TIMEOUT_IN_SECONDS configured?

It can be set at the account, user, session, or warehouse level. Check: SHOW PARAMETERS LIKE 'STATEMENT_TIMEOUT%' IN SESSION.

Does canceling a query cause a data inconsistency?

No — Snowflake uses ACID transactions. A canceled statement rolls back automatically, leaving the data in a consistent state.