I have three virtual machines running as distributed Spark cluster. I am using Spark 1.3.0 with an underlying Hadoop 2.6.0.
If I run the Spark Pi example
/usr/local/spark130/bin/spark-submit
--class org.apache.spark.examples.SparkPi
--master yarn-client /usr/local/spark130/examples/target/spark-examples_2.10-1.3.0.jar 10000
I get this warning/errors and eventually an exception:
WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/04/08 12:37:06 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://sparkYarnAM@virtm4:47128] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].
15/04/08 12:37:12 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://sparkYarnAM@virtm4:45975] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].
15/04/08 12:37:13 ERROR YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!
When I check the logs of the container I see that it was SIGTERM-ed
15/04/08 12:37:08 INFO yarn.YarnAllocator: Container request (host: Any, capability: <memory:1408, vCores:1>)
15/04/08 12:37:08 INFO yarn.YarnAllocator: Container request (host: Any, capability: <memory:1408, vCores:1>)
15/04/08 12:37:08 INFO yarn.ApplicationMaster: Started progress reporter thread - sleep time : 5000
15/04/08 12:37:12 ERROR yarn.ApplicationMaster: RECEIVED SIGNAL 15: SIGTERM
15/04/08 12:37:12 INFO yarn.ApplicationMaster: Final app status: UNDEFINED, exitCode: 0, (reason: Shutdown hook called before final status was reported.)
15/04/08 12:37:12 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with UNDEFINED (diag message: Shutdown hook called before final status was reported.)
SOLUTION: I solved the problem. I use Java7 now instead of Java8. This situation was reported as bug, but it was rejected as such https://issues.apache.org/jira/browse/SPARK-6388 Yet, changing Java version did work.
The association may be lost due to the Java 8 excessive memory allocation issue: https://issues.apache.org/jira/browse/YARN-4714
You can force YARN to ignore this by setting up the following properties in yarn-site.xml
<property>
<name>yarn.nodemanager.pmem-check-enabled</name>
<value>false</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
I encountered similar problem before, until I find this issue
Try to stop your SparkContext instance explicitly sc.stop()
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