aws compute_error ai_generated true

Glue job failed with error: An error occurred while calling the Spark driver

ID: aws/aws-glue-job-failed

Also available as: JSON · Markdown
78%Fix Rate
82%Confidence
70Evidence
2023-01-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
2 active — — —

Root Cause

AWS Glue ETL job failed due to script errors, data format issues, or resource limits.

generic

Workarounds

  1. 85% success Check CloudWatch logs for the Glue job run to find the specific error 
    aws logs get-log-events --log-group-name /aws-glue/jobs/error --log-stream-name JOB_RUN_ID

    Sources: https://docs.aws.amazon.com/glue/latest/dg/monitor-continuous-logging.html

  2. 80% success Test the script locally or in a Glue development endpoint with sample data 
    Use Glue interactive sessions or a local PySpark environment to debug with a small data sample

    Sources: https://docs.aws.amazon.com/glue/latest/dg/interactive-sessions-overview.html

Dead Ends

Common approaches that don't work:

  1. Increase DPU count without checking the error type 75% fail

    Most Glue failures are script logic or data format errors, not resource exhaustion

  2. Switch from Glue to EMR to fix the issue 70% fail

    The same Spark script will likely have the same data/logic errors on EMR

Error Chain

Leads to:
Preceded by:
Frequently confused with: