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https://issues.apache.org/jira/browse/SPARK-4360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14313898#comment-14313898
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seekerak commented on SPARK-4360:
---------------------------------
i have resolved this issue by configure yarn scheduler like this:
<property>
<name>yarn.resourcemanager.scheduler.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
</property>
or
<property>
<name>yarn.resourcemanager.scheduler.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
</property>
and
<property>
<name>yarn.scheduler.capacity.resource-calculator</name>
<value>org.apache.hadoop.yarn.util.resource.DominantResourceCalculator</value>
</property>
so the real reason is yarn's resource scheduler, if one node can provide all
resource that tasks required， all task maybe run on one node only.
> task only execute on one node when spark on yarn
> ------------------------------------------------
>
> Key: SPARK-4360
> URL: https://issues.apache.org/jira/browse/SPARK-4360
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.0.2
> Reporter: seekerak
>
> hadoop version: hadoop 2.0.3-alpha
> spark version: 1.0.2
> when i run spark jobs on yarn, i found all the task only run on one node, my
> cluster has 4 nodes, executors has 3, but only one has task, the others
> hasn't, my command like this :
> /opt/hadoopcluster/spark-1.0.2-bin-hadoop2/bin/spark-submit --class
> org.sr.scala.Spark_LineCount_G0 --executor-memory 2G --num-executors 12
> --master yarn-cluster /home/Spark_G0.jar /data /output/ou_1
> is there any one knows why?
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