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https://issues.apache.org/jira/browse/SPARK-11058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-11058.
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Resolution: Not A Problem
This is a limitation of client mode in Spark. The YARN application always shows
up as successful. The {{SparkContext}} API is not rich enough for the driver to
tell the AM whether to succeed or fail the YARN application.
> failed spark job reports on YARN as successful
> ----------------------------------------------
>
> Key: SPARK-11058
> URL: https://issues.apache.org/jira/browse/SPARK-11058
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.3.0
> Environment: CDH 5.4
> Reporter: Lan Jiang
> Priority: Minor
>
> I have a spark batch job running on CDH5.4 + Spark 1.3.0. Job is submitted in
> “yarn-client” mode. The job itself failed due to YARN kills several executor
> containers because the containers exceeded the memory limit posed by YARN.
> However, when I went to the YARN resource manager site, it displayed the job
> as successful. I found there was an issue reported in JIRA
> https://issues.apache.org/jira/browse/SPARK-3627, but it says it was fixed in
> Spark 1.2. On Spark history server, it shows the job as “Incomplete”.
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