Addressing Snowflake Ingestion Issues: Resolving Timeout Error and Long Execution Times

ingestion
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Original Slack Thread

<@U06TM7M40RK> I’m on V1.0.0 are seeing issues with Snowflake ingestion taking 3 hours and succeeding with warnings <class ‘snowflake.connector.errors.ProgrammingError’>: 000630 (57014): Statement reached its statement or warehouse timeout of 10,800 second(s) and was canceled.

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It seems likely that the issue you’re encountering with Snowflake ingestion taking a long time and resulting in a timeout error is related to the configuration of your Snowflake warehouse or the queries being executed during the ingestion process. The error message indicates that the statement reached its timeout limit, which is set to 10,800 seconds (3 hours).

Here are some steps and considerations that might help address this issue:

  1. Increase Timeout Settings: You might want to consider increasing the timeout settings for your Snowflake warehouse if possible. This can be done by adjusting the statement_timeout_in_seconds parameter in your Snowflake configuration.

  2. Optimize Queries: Review the queries being executed during the ingestion process to see if there are opportunities for optimization. This might involve indexing, query restructuring, or other database optimizations to reduce execution time.

  3. Resource Allocation: Ensure that your Snowflake warehouse has sufficient resources allocated. Sometimes, increasing the size of the warehouse can help improve query performance and reduce the likelihood of timeouts.

  4. Batch Processing: If the ingestion process involves processing a large number of records, consider breaking it down into smaller batches. This can help manage resource usage and reduce the risk of timeouts.

  5. Check Logs for Warnings: Review the logs for any warnings or errors that might provide additional insights into what might be causing the long execution times. This can help identify specific areas for improvement.

  6. Review DataHub Configuration: Ensure that your DataHub configuration is optimized for your use case. This might involve adjusting parameters related to ingestion, such as batch size or parallel processing settings.

Would you like more detailed steps or further clarification on any specific part of the process?

Sources:

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Hi <@U0896QLK44B>, how did my answer work out for you? Need any more assistance? You can also tag <@U07FV3UHE4D> to let your fellow community members know you’re still looking for guidance.