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Posted to issues@spark.apache.org by "Parth Gandhi (JIRA)" <ji...@apache.org> on 2017/07/26 21:23:00 UTC

[jira] [Created] (SPARK-21541) Spark Logs show incorrect job status for a job that does not create SparkContext

Parth Gandhi created SPARK-21541:
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             Summary: Spark Logs show incorrect job status for a job that does not create SparkContext
                 Key: SPARK-21541
                 URL: https://issues.apache.org/jira/browse/SPARK-21541
             Project: Spark
          Issue Type: Bug
          Components: YARN
    Affects Versions: 2.2.0
            Reporter: Parth Gandhi
            Priority: Minor


If you run a spark job without creating the SparkSession or SparkContext, the spark job logs says it succeeded but yarn says it fails and retries 3 times. 

*Steps:*
1. For example, run a pyspark job without creating SparkSession or SparkContext. 
*Example:*
import sys
from random import random
from operator import add
from pyspark import SparkContext

if __name__ == "__main__":
  print("hello world")

2. Spark will mark it as FAILED. Got to the UI and check the container logs.

3. You will see the following information in the logs:
spark:
7/07/14 13:22:10 INFO ApplicationMaster: Final app status: SUCCEEDED, exitCode: 0
17/07/14 13:22:10 INFO ApplicationMaster: Unregistering ApplicationMaster with SUCCEEDED

But yarn logs will show:
2017-07-14 01:14:33,203 [AsyncDispatcher event handler] INFO attempt.RMAppAttemptImpl: appattempt_1493735952617_12443844_000001 State change from FINAL_SAVING to FAILED



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