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https://issues.apache.org/jira/browse/SPARK-16885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15407073#comment-15407073
]
Sean Owen commented on SPARK-16885:
-----------------------------------
I'm pretty certain it's because you specified a directory, not a file? try a
file to confirm.
> Spark shell failed to run in yarn-client mode
> ---------------------------------------------
>
> Key: SPARK-16885
> URL: https://issues.apache.org/jira/browse/SPARK-16885
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Affects Versions: 2.0.0
> Environment: Ubuntu 12.04
> Hadoop 2.7.2 + Yarn
> Reporter: Yury Zhyshko
> Attachments: spark-env.sh
>
>
> I've installed Hadoop + Yarn in pseudo distributed mode following these
> instructions:
> https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-common/SingleCluster.html#YARN_on_a_Single_Node
> After that I downloaded and installed a prebuild Spark for Hadoop 2.7
> The command that I used to run a shell:
> ./bin/spark-shell --master yarn --deploy-mode client --conf
> spark.yarn.archive=/home/yzhishko/work/spark/jars
> Here is the error:
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel).
> 16/08/03 17:13:50 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 16/08/03 17:13:52 ERROR spark.SparkContext: Error initializing SparkContext.
> java.lang.IllegalArgumentException: Can not create a Path from an empty string
> at org.apache.hadoop.fs.Path.checkPathArg(Path.java:126)
> at org.apache.hadoop.fs.Path.<init>(Path.java:134)
> at org.apache.hadoop.fs.Path.<init>(Path.java:93)
> at
> org.apache.spark.deploy.yarn.Client.copyFileToRemote(Client.scala:338)
> at
> org.apache.spark.deploy.yarn.Client.org$apache$spark$deploy$yarn$Client$$distribute$1(Client.scala:433)
> at
> org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:472)
> at
> org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:834)
> at
> org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:167)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:149)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:500)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
> at org.apache.spark.repl.Main$.createSparkSession(Main.scala:101)
> at $line3.$read$$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$$runMain(SparkSubmit.scala:729)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 16/08/03 17:13:52 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
> Attempted to request executors before the AM has registered!
> 16/08/03 17:13:52 WARN metrics.MetricsSystem: Stopping a MetricsSystem that
> is not running
> java.lang.IllegalArgumentException: Can not create a Path from an empty string
> at org.apache.hadoop.fs.Path.checkPathArg(Path.java:126)
> at org.apache.hadoop.fs.Path.<init>(Path.java:134)
> at org.apache.hadoop.fs.Path.<init>(Path.java:93)
> at org.apache.spark.deploy.yarn.Client.copyFileToRemote(Client.scala:338)
> at
> org.apache.spark.deploy.yarn.Client.org$apache$spark$deploy$yarn$Client$$distribute$1(Client.scala:433)
> at
> org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:472)
> at
> org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:834)
> at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:167)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:149)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:500)
> at org.apache.spark.SparkContext$.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:101)
> ... 47 elided
> <console>:14: error: not found: value spark
> import spark.implicits._
> ^
> <console>:14: error: not found: value spark
> import spark.sql
> ^
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 2.0.0
> /_/
>
> Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_91)
> Type in expressions to have them evaluated.
> Type :help for more information.
> spark-env.sh is attached
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