Kazuyuki Tanimura created SPARK-53048:
-----------------------------------------

             Summary: Include PySpark exception reasons in SparkUserAppException
                 Key: SPARK-53048
                 URL: https://issues.apache.org/jira/browse/SPARK-53048
             Project: Spark
          Issue Type: Improvement
          Components: Spark Core
    Affects Versions: 4.0.0, 4.1.0
            Reporter: Kazuyuki Tanimura


Currently the exit code of Python process failure is passed to 
SparkUserAppException.

In particular this piece of code 
[https://github.com/apache/spark/blob/3bf3696461ab18e6b2507f3f1a2729568e4a6832/core/src/main/scala/org/apache/spark/deploy/PythonRunner.scala#L127]

```

try {

      val process = builder.start()

 

      new RedirectThread(process.getInputStream, System.out, "redirect 
output").start()

 

      val exitCode = process.waitFor()

      if (exitCode != 0) {

        throw new SparkUserAppException(exitCode)

      }

    } finally {

      gatewayServer.foreach(_.shutdown())

    }

```

Although logger can be set for PySpark, it would be more user friendly if we 
can include more explicit reasons or Python stacktrace, so that users do not 
have to look into the other part of the logs



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