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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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