Insufficient System Memory in Synapse Analytics Pipeline

Question

Encountering issues with a Synapse Analytics Pool where the pipeline run fails with the error message: "Operation on target GetLastChangedFeedFiles failed: There is insufficient system memory in resource pool 'VDWFrontendPool' to run this query."

Looking for assistance to resolve this issue.

Answer 1

Hi @rajib.de@outlook.com

Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!

"Operation on target GetLastChangedFeedFiles failed: There is insufficient system memory in resource pool 'VDWFrontendPool' to run this query."

It seems like you are facing an issue with a Synapse Analytics Pool where the pipeline run fails with the error message: "Operation on target GetLastChangedFeedFiles failed: There is insufficient system memory in resource pool 'VDWFrontendPool' to run this query." This error message indicates that the query you are trying to run requires more memory than is currently available in the 'VDWFrontendPool' resource pool.

Here are some troubleshooting steps that might help you:

Query Optimization:

• Split Large Queries - If your queries are targeting a large dataset, consider breaking them into smaller, more manageable queries. For example, if you are querying a large table, you can break it into smaller chunks using a date range or other logical partitioning.
• Optimize Data Types - Ensure that your queries use the most efficient data types. For example, if you are using a VARCHAR column but the data can fit into a CHAR or smaller VARCHAR, changing the data type can save memory.

Resource Management:

• Sequential Execution - Make sure that multiple resource-intensive queries are not running in parallel. Sequential execution can help manage memory usage better.
• Retry Mechanism - Implement a retry mechanism in your pipeline. Sometimes, the issue may be intermittent, and a simple retry can resolve the problem.

Data Handling:

• Reduce File Count - If processing a large number of files, try to reduce the count or process them in smaller batches.

Monitoring and Logs:

• Check Logs - Review backend logs to identify specific patterns or issues causing the memory error. This can help pinpoint the root cause and provide insights for resolution. Use Synapse Studio or Azure Monitor to access and review logs.
• Monitor Resource Usage - Use T-SQL statements to monitor resource usage and adjust your queries accordingly.

For more details, please refer: Performance tuning guidance for Azure Synapse Analytics serverless SQL pool.

For a similar issue, you might find it helpful to check out this thread link for additional insights: https://learn.microsoft.com/en-us/answers/questions/388588/synapse-there-is-insufficient-system-memory-in-res

I hope this information helps. Please do let us know if you have any further queries.

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