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Posted to issues@spark.apache.org by "Saisai Shao (JIRA)" <ji...@apache.org> on 2016/06/18 00:14:05 UTC
[jira] [Commented] (SPARK-15984) WARN message
"o.a.h.y.s.resourcemanager.rmapp.RMAppImpl: The specific max attempts: 0
for application: 8 is invalid" when starting application on YARN
[ https://issues.apache.org/jira/browse/SPARK-15984?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15337278#comment-15337278 ]
Saisai Shao commented on SPARK-15984:
-------------------------------------
Is there any problem? I guess you might set max app attempt to 0, so you will get such warning log, it is illegal to set 0 for max app attempt, it should be >= 1.
Here is the yarn code.
{code}
int globalMaxAppAttempts = conf.getInt(YarnConfiguration.RM_AM_MAX_ATTEMPTS,
YarnConfiguration.DEFAULT_RM_AM_MAX_ATTEMPTS);
int individualMaxAppAttempts = submissionContext.getMaxAppAttempts();
if (individualMaxAppAttempts <= 0 ||
individualMaxAppAttempts > globalMaxAppAttempts) {
this.maxAppAttempts = globalMaxAppAttempts;
LOG.warn("The specific max attempts: " + individualMaxAppAttempts
+ " for application: " + applicationId.getId()
+ " is invalid, because it is out of the range [1, "
+ globalMaxAppAttempts + "]. Use the global max attempts instead.");
} else {
this.maxAppAttempts = individualMaxAppAttempts;
}
{code}
> WARN message "o.a.h.y.s.resourcemanager.rmapp.RMAppImpl: The specific max attempts: 0 for application: 8 is invalid" when starting application on YARN
> ------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-15984
> URL: https://issues.apache.org/jira/browse/SPARK-15984
> Project: Spark
> Issue Type: Improvement
> Components: YARN
> Affects Versions: 2.0.0
> Reporter: Jacek Laskowski
> Priority: Minor
>
> When executing {{spark-shell}} on Spark on YARN 2.7.2 on Mac OS as follows:
> {code}
> YARN_CONF_DIR=hadoop-conf ./bin/spark-shell --master yarn -c spark.shuffle.service.enabled=true --deploy-mode client -c spark.scheduler.mode=FAIR
> {code}
> it ends up with the following WARN in the logs:
> {code}
> 2016-06-16 08:33:05,308 INFO org.apache.hadoop.yarn.server.resourcemanager.ClientRMService: Allocated new applicationId: 8
> 2016-06-16 08:33:07,305 WARN org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: The specific max attempts: 0 for application: 8 is invalid, because it is out of the range [1, 2]. Use the global max attempts instead.
> {code}
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