[
https://issues.apache.org/jira/browse/SPARK-16794?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15400094#comment-15400094
]
Eliano Marques commented on SPARK-16794:
----------------------------------------
So I investigated further the issue and turns out that the issues was this:
{code}
Error: Could not find or load main class
org.apache.spark.deploy.yarn.ExecutorLauncher
{code}
We made it work by adding to the spark-defaults.conf file the following:
{code}
spark.driver.extraJavaOptions -Dhdp.version=current
spark.yarn.am.extraJavaOptions -Dhdp.version=current
{code}
All python (jupyter and shell), scala (jupyter and shell) and R (shell and
rstudio via sparklyr) are now working with 2.0.0.
Thanks for your answer again.
Eliano
> Spark 2.0.0. with Yarn
> -----------------------
>
> Key: SPARK-16794
> URL: https://issues.apache.org/jira/browse/SPARK-16794
> Project: Spark
> Issue Type: Question
> Affects Versions: 2.0.0
> Environment: AWS Cluster with Hortonworks 2.4
> Reporter: Eliano Marques
>
> I'm trying to start spark 2.0.0 with yarn. First I had the issues pointed out
> here: https://issues.apache.org/jira/browse/SPARK-15343. I then check the
> hadoop.yarn.timeline-service.enabled to false and the behaviour changed, i.e.
> it started executing the application. However I'm facing the following error.
> This might be a silly config but appreciate if you can help.
> {code}
> spark-shell --master yarn deploy-mode client
> {code}
> Log:
> {code}
> 16/07/29 10:04:17 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 16/07/29 10:04:17 WARN component.AbstractLifeCycle: FAILED
> ServerConnector@16da476c{HTTP/1.1}{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.ServerConnector.open(ServerConnector.java:321)
> at
> org.spark_project.jetty.server.AbstractNetworkConnector.doStart(AbstractNetworkConnector.java:80)
> at
> org.spark_project.jetty.server.ServerConnector.doStart(ServerConnector.java:236)
> at
> org.spark_project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:68)
> at org.spark_project.jetty.server.Server.doStart(Server.java:366)
> at
> org.spark_project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:68)
> at
> org.apache.spark.ui.JettyUtils$.org$apache$spark$ui$JettyUtils$$connect$1(JettyUtils.scala:298)
> at org.apache.spark.ui.JettyUtils$$anonfun$5.apply(JettyUtils.scala:308)
> at org.apache.spark.ui.JettyUtils$$anonfun$5.apply(JettyUtils.scala:308)
> at
> org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:2071)
> at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160)
> at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:2062)
> at
> org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:308)
> at org.apache.spark.ui.WebUI.bind(WebUI.scala:139)
> at
> org.apache.spark.SparkContext$$anonfun$10.apply(SparkContext.scala:451)
> at
> org.apache.spark.SparkContext$$anonfun$10.apply(SparkContext.scala:451)
> at scala.Option.foreach(Option.scala:257)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:451)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
> at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
> at $line3.$read$$iw$$iw.<init>(<console>:15)
> at $line3.$read$$iw.<init>(<console>:31)
> at $line3.$read.<init>(<console>:33)
> at $line3.$read$.<init>(<console>:37)
> at $line3.$read$.<clinit>(<console>)
> at $line3.$eval$.$print$lzycompute(<console>:7)
> at $line3.$eval$.$print(<console>:6)
> at $line3.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
> at
> scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
> at
> scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
> at
> scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
> at
> scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
> at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
> at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)
> at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:94)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
> at org.apache.spark.repl.Main$.doMain(Main.scala:68)
> at org.apache.spark.repl.Main$.main(Main.scala:51)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 16/07/29 10:04:17 WARN component.AbstractLifeCycle: FAILED
> org.spark_project.jetty.server.Server@5503de1: java.net.BindException:
> Address already in use
> java.net.BindException: Address already in use
> at sun.nio.ch.Net.bind0(Native Method)
> at sun.nio.ch.Net.bind(Net.java:433)
> at sun.nio.ch.Net.bind(Net.java:425)
> at
> sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
> at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
> at
> org.spark_project.jetty.server.ServerConnector.open(ServerConnector.java:321)
> at
> org.spark_project.jetty.server.AbstractNetworkConnector.doStart(AbstractNetworkConnector.java:80)
> at
> org.spark_project.jetty.server.ServerConnector.doStart(ServerConnector.java:236)
> at
> org.spark_project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:68)
> at org.spark_project.jetty.server.Server.doStart(Server.java:366)
> at
> org.spark_project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:68)
> at
> org.apache.spark.ui.JettyUtils$.org$apache$spark$ui$JettyUtils$$connect$1(JettyUtils.scala:298)
> at org.apache.spark.ui.JettyUtils$$anonfun$5.apply(JettyUtils.scala:308)
> at org.apache.spark.ui.JettyUtils$$anonfun$5.apply(JettyUtils.scala:308)
> at
> org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:2071)
> at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160)
> at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:2062)
> at
> org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:308)
> at org.apache.spark.ui.WebUI.bind(WebUI.scala:139)
> at
> org.apache.spark.SparkContext$$anonfun$10.apply(SparkContext.scala:451)
> at
> org.apache.spark.SparkContext$$anonfun$10.apply(SparkContext.scala:451)
> at scala.Option.foreach(Option.scala:257)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:451)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
> at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
> at $line3.$read$$iw$$iw.<init>(<console>:15)
> at $line3.$read$$iw.<init>(<console>:31)
> at $line3.$read.<init>(<console>:33)
> at $line3.$read$.<init>(<console>:37)
> at $line3.$read$.<clinit>(<console>)
> at $line3.$eval$.$print$lzycompute(<console>:7)
> at $line3.$eval$.$print(<console>:6)
> at $line3.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
> at
> scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
> at
> scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
> at
> scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
> at
> scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
> at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
> at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)
> at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:94)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
> at org.apache.spark.repl.Main$.doMain(Main.scala:68)
> at org.apache.spark.repl.Main$.main(Main.scala:51)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 16/07/29 10:04:17 WARN util.Utils: Service 'SparkUI' could not bind on port
> 4040. Attempting port 4041.
> 16/07/29 10:04:18 WARN shortcircuit.DomainSocketFactory: The short-circuit
> local reads feature cannot be used because libhadoop cannot be loaded.
> 16/07/29 10:04:19 WARN yarn.Client: Neither spark.yarn.jars nor
> spark.yarn.archive is set, falling back to uploading libraries under
> SPARK_HOME.
> 16/07/29 10:04:26 ERROR spark.SparkContext: Error initializing SparkContext.
> org.apache.spark.SparkException: Yarn application has already ended! It might
> have been killed or unable to launch application master.
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:149)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:500)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
> at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
> at $line3.$read$$iw$$iw.<init>(<console>:15)
> at $line3.$read$$iw.<init>(<console>:31)
> at $line3.$read.<init>(<console>:33)
> at $line3.$read$.<init>(<console>:37)
> at $line3.$read$.<clinit>(<console>)
> at $line3.$eval$.$print$lzycompute(<console>:7)
> at $line3.$eval$.$print(<console>:6)
> at $line3.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
> at
> scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
> at
> scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
> at
> scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
> at
> scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
> at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
> at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)
> at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:94)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
> at org.apache.spark.repl.Main$.doMain(Main.scala:68)
> at org.apache.spark.repl.Main$.main(Main.scala:51)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 16/07/29 10:04:26 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
> Attempted to request executors before the AM has registered!
> 16/07/29 10:04:26 WARN metrics.MetricsSystem: Stopping a MetricsSystem that
> is not running
> 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:85)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:149)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:500)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
> at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
> ... 47 elided
> <console>:14: error: not found: value spark
> import spark.implicits._
> ^
> <console>:14: error: not found: value spark
> import spark.sql
> {code}
> Both SPARK_HOME and HADOOP_CONF_DIR are defined.
> Is there any additional config required with 2.0.0. that we are missing?
> Thanks
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