Support Questions

Find answers, ask questions, and share your expertise
Announcements
Celebrating as our community reaches 100,000 members! Thank you!

Spark 1.5 - SparkException: Yarn application has already ended!

avatar
Contributor

Hi,

I have setup Spark 1.5 through Ambari on HDP2.3.4 Ambari reports all the services on HDP are running fine including Spark. I have installed Zeppelin and trying to use notebook as documented in Zeppelin tech preview notebook.

However, when I run sc.version, I am seeing an error

org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
 at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:119)
 at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
 at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:141)
 at org.apache.spark.SparkContext.<init>(SparkContext.scala:497)
 at org.apache.zeppelin.spark.SparkInterpreter.createSparkContext(SparkInterpreter.java:339)
 at org.apache.zeppelin.spark.SparkInterpreter.getSparkContext(SparkInterpreter.java:149)
 at org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:465)
 at org.apache.zeppelin.interpreter.ClassloaderInterpreter.open(ClassloaderInterpreter.java:74)
 at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:68)
 at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:92)
 at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:276)
 at org.apache.zeppelin.scheduler.Job.run(Job.java:170)
 at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:118)
 at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
 at java.util.concurrent.FutureTask.run(FutureTask.java:266)
 at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
 at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
 at java.lang.Thread.run(Thread.java:745)

Let me know what is causing this. Does it relate to any configuration issue? Attached is the screenshot for the interpreter configuration.

1633-zeppelin-interpreter-settings.png

1 ACCEPTED SOLUTION

avatar
Contributor
hide-solution

This problem has been solved!

Want to get a detailed solution you have to login/registered on the community

Register/Login
25 REPLIES 25

avatar
Contributor

Spark has been installed from Ambari. However, Zeppelin is being installed from the rpm package. Tech Preview 0.6.0 version

avatar
Master Mentor

@vbhoomireddy You can follow the above link that I shared for the port change. Change the port to 9995

avatar
Contributor

@Neeraj Sabharwal

zeppelin-env.sh already contains export ZEPPELIN_PORT=9995. Container creation is failing

avatar
Master Mentor

@vbhoomireddy Just to verify

whats the output of netstat -anp | grep 9995

avatar
Contributor
@Neeraj Sabharwal

tcp 0 0 0.0.0.0:9995 0.0.0.0:* LISTEN 26340/java

tcp 0 0 10.87.139.168:9995 10.25.35.165:55024 ESTABLISHED 26340/java

Please see the below attempt log. could it be because of this line?

1634-stderr.png

Unknown/unsupported param List(--num-executors, 2)

avatar
Master Mentor

@vbhoomireddy New issue .. https://issues.apache.org/jira/browse/SPARK-5005

Thread is getting long 🙂

avatar
Contributor

@Neeraj Sabharwal I was thinking about the same 😉

it works fine when I run sparkpi directly in the cli, without going to zeppelin.

./bin/spark-submit --class org.apache.spark.examples.SparkPi--master yarn-client --num-executors 3--driver-memory 512m--executor-memory 512m--executor-cores 1 lib/spark-examples*.jar 10

Also, the issue has been closed with a status "Cannot Reproduce" So not sure on what the options I would have now to get zeppelin going. Any ideas?

avatar
Master Mentor

@vbhoomireddy what do you mean by "Cannot reproduce" ? Someone closed this thread?

The only suggestion I have is to recheck your setting, delete the interpreter and recreate it by following the blog that I shared.

avatar
Contributor

@Neeraj Sabharwal

Looking further at the below zeppelin logs, my understanding is that when Zeppelin tried to create a spark context, Spark tries to use port 4040 for launching the spark context's Web UI. However as the port is already in use on the machine, it couldnt launch the spark context.

WARN [2016-01-29 12:34:27,375] ({pool-2-thread-3} AbstractLifeCycle.java[setFailed]:204) - FAILED SelectChannelConnector@0.0.0.0:4040: java.net.BindException: Address already in use java.net.BindException: Address already in use at sun.nio.ch.Net.bind0(Native Method) at sun.nio.ch.Net.bind(Net.java:433) at sun.nio.ch.Net.bind(Net.java:425) at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223) at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74) at org.spark-project.jetty.server.nio.SelectChannelConnector.open(SelectChannelConnector.java:187) at org.spark-project.jetty.server.AbstractConnector.doStart(AbstractConnector.java:316) at org.spark-project.jetty.server.nio.SelectChannelConnector.doStart(SelectChannelConnector.java:265) at org.spark-project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64) at org.spark-project.jetty.server.Server.doStart(Server.java:293) at org.spark-project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64) at org.apache.spark.ui.JettyUtils$.org$apache$spark$ui$JettyUtils$connect$1(JettyUtils.scala:228) at org.apache.spark.ui.JettyUtils$anonfun$2.apply(JettyUtils.scala:238) at org.apache.spark.ui.JettyUtils$anonfun$2.apply(JettyUtils.scala:238) at org.apache.spark.util.Utils$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1991) at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141) at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1982) at org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:238) at org.apache.spark.ui.WebUI.bind(WebUI.scala:117) at org.apache.spark.SparkContext$anonfun$13.apply(SparkContext.scala:448) at org.apache.spark.SparkContext$anonfun$13.apply(SparkContext.scala:448) at scala.Option.foreach(Option.scala:236) at org.apache.spark.SparkContext.<init>(SparkContext.scala:448) at org.apache.zeppelin.spark.SparkInterpreter.createSparkContext(SparkInterpreter.java:339) at org.apache.zeppelin.spark.SparkInterpreter.getSparkContext(SparkInterpreter.java:149) at org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:465) at org.apache.zeppelin.interpreter.ClassloaderInterpreter.open(ClassloaderInterpreter.java:74) at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:68) at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:92) at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:276) at org.apache.zeppelin.scheduler.Job.run(Job.java:170) at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:118) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

Any idea how to change for Zeppelin to use another port instead of 4040. I belive Spark has the mechanism to try 4041, 4042 etc when two two shells are running on the machine and both compete for the same port. However, does Zeppelin does the same?

avatar
Master Mentor

@vbhoomireddy can you accept the best answer to close this thread or provide your own solution?