Why it matters

Debugging distributed Spark is hard. Understanding shapes ops.

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The architecture

Driver logs: application logs.

Executor logs: per-task issues.

Debugging toolsDriver logsapplicationExecutor logsper-taskSpark UI + profilevisualRemote debug via JDWP for stuck job investigation
Debugging surfaces.
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How it works end to end

Log levels: adjust for verbosity.

Aggregate executor logs: yarn logs or K8s logs.

Remote debug: attach IDE to running JVM.

Stack traces on error: essential.