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Posted to issues@spark.apache.org by "Victor Sunderland (Jira)" <ji...@apache.org> on 2025/08/20 03:50:00 UTC

[jira] [Created] (SPARK-53335) Support diagnostics for jobs which ran on Kubernetes

Victor Sunderland created SPARK-53335:
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             Summary: Support diagnostics for jobs which ran on Kubernetes
                 Key: SPARK-53335
                 URL: https://issues.apache.org/jira/browse/SPARK-53335
             Project: Spark
          Issue Type: Improvement
          Components: Kubernetes, Spark Core
    Affects Versions: 4.1.0
            Reporter: Victor Sunderland


For jobs which run on kubernetes there is no native concept of diagnostics (like there is in YARN), which means that for debugging and triaging errors users _must_ go to logs. For many jobs which run on YARN this is often not necessary, since the diagnostics contains the root cause reason for failure. Additionally, for platforms which provide automation of failure insights, or make decisions based on failures, there must be a custom solution or deciding why the application failed (e.g. log and stack trace parsing). We should provide a way for yarn-equivalent diagnostics for spark jobs on kubernetes.



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