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Posted to issues@spark.apache.org by "Lan Jiang (JIRA)" <ji...@apache.org> on 2015/10/12 01:02:05 UTC
[jira] [Updated] (SPARK-11058) failed spark job reports on YARN as
successful
[ https://issues.apache.org/jira/browse/SPARK-11058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lan Jiang updated SPARK-11058:
------------------------------
Priority: Critical (was: Minor)
> 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: Critical
>
> 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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