How can you resolve a “Query aborted due to warehouse suspension” error?

100 viewsErrors and Troubleshooting

How can you identify and resolve a “Query aborted due to warehouse suspension” error caused by resource constraints?

Daniel Steinhold Answered question August 16, 2023

Encountering a “Query aborted due to warehouse suspension” error in Snowflake indicates that the virtual warehouse used to execute the query was suspended while the query was running. This error typically occurs when the warehouse is scaled down or paused due to resource constraints. To identify and resolve this issue, follow these steps:

1. **Understand the Error Message**:
– Carefully read the error message to confirm that the query was indeed aborted due to warehouse suspension.
2. **Monitor Warehouse Activity**:
– Check the warehouse activity and resource usage history to understand the workload and resource consumption leading up to the suspension.
3. **Review Query Complexity**:
– Analyze the complexity of the query that was running. Consider factors such as join patterns, data volume, aggregations, and subqueries that might contribute to resource-intensive queries.
4. **Check for Concurrent Queries**:
– Determine if there were other concurrent queries running on the warehouse that could have contributed to resource contention.
5. **Warehouse Resizing**:
– If the warehouse was scaled down manually or automatically, consider resizing it to a larger size that can handle the workload.
6. **Adjust Concurrency**:
– Modify the concurrency level of the warehouse to control the number of concurrent queries. Lowering the concurrency can help prevent resource exhaustion.
7. **Query Optimization**:
– Review and optimize the query for better performance. Ensure that you’re using appropriate indexes, caching, and filtering to reduce resource consumption.
8. **Resource Monitoring and Profiling**:
– Utilize Snowflake’s resource monitoring and query profiling tools to identify resource-intensive queries and troubleshoot performance bottlenecks.
9. **Consider Dedicated Warehouses**:
– If the workload demands consistent performance, consider using dedicated warehouses with reserved resources instead of using multi-cluster warehouses.
10. **Use Separate Warehouses**:
– Distribute workloads across multiple warehouses to avoid resource contention and ensure more stable performance.
11. **Allocate Sufficient Credits**:
– For consumption-based pricing, ensure that you have allocated sufficient warehousing credits to the warehouse to accommodate the query workload.
12. **Auto-Scale Settings**:
– Review and adjust the auto-scale settings for the warehouse to ensure that it can dynamically adjust its size based on the workload.
13. **Monitoring and Alerting**:
– Set up monitoring and alerting mechanisms to receive notifications when the warehouse is suspended or when resource constraints are detected.
14. **Review Usage Patterns**:
– Analyze usage patterns over time to identify peak usage periods and allocate resources accordingly.
15. **Contact Snowflake Support**:
– If you’re unable to resolve the issue on your own, or if the error persists, contact Snowflake support for assistance.

By following these steps, you can diagnose the “Query aborted due to warehouse suspension” error, address resource constraints, optimize your query and warehouse settings, and ensure smoother execution of your workloads in Snowflake.

Daniel Steinhold Answered question August 16, 2023
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