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Updated Jun 30, 2020

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  • Documentation
  • Job execution

Job execution

These articles can help you tune and troubleshoot Spark job execution.

  • Increase the number of tasks per stage
  • Maximum execution context or notebook attachment limit reached
  • Set executor log level
  • Serialized task is too large

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