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From "Marcelo Vanzin (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-11058) failed spark job reports on YARN as successful
Date Fri, 16 Jun 2017 23:35:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-11058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Marcelo Vanzin resolved SPARK-11058.
------------------------------------
    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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