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https://issues.apache.org/jira/browse/SPARK-13133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Li Ye updated SPARK-13133:
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Summary: When the option --master of spark-submit script is inconsistent
with SparkConf.setMaster in Spark appliction code, the behavior of Spark
application is difficult to understand (was: When the option --master of
spark-submit script is inconsistent with SparkConf.setMaster in Spark
appliction code, the behavior is Difficult to understand)
> When the option --master of spark-submit script is inconsistent with
> SparkConf.setMaster in Spark appliction code, the behavior of Spark
> application is difficult to understand
> -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-13133
> URL: https://issues.apache.org/jira/browse/SPARK-13133
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.3.0, 1.4.0, 1.5.0, 1.6.0
> Reporter: Li Ye
> Priority: Minor
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> When the option --master of spark-submit script is inconsistent with
> SparkConf.setMaster in Spark application code, the behavior is difficult to
> understand. For example, if the option --master of spark-submit script is
> yarn-cluster while there is SparkConf.setMaster("local") in Spark application
> code, the application exit abnormally after about 2 minutes. In driver's log
> there is an error whose content is "SparkContext did not initialize after
> waiting for 100000 ms. Please check earlier log output for errors. Failing
> the application".
> When SparkContext is launched, it should be checked whether the option
> --master of spark-submit script and SparkConf.setMaster in Spark application
> code are different. If they are different, there should be a clear hint in
> the driver's log for the developer to troubleshoot.
> I found the same question with me in stackoverflow:
> http://stackoverflow.com/questions/30670933/submit-spark-job-on-yarn-cluster
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