Exception when "spark-shell --master yarn-client" - apache-spark

Question

When I run
spark-shell --master yarn-client
An error occurs as follows:
14/12/23 12:06:33 INFO client.RMProxy: Connecting to ResourceManager at main/10.20.236.201:8032
14/12/23 12:06:33 INFO yarn.Client: Got cluster metric info from ResourceManager, number of NodeManagers: 2
14/12/23 12:06:33 INFO yarn.Client: Max mem capabililty of a single resource in this cluster 2048
14/12/23 12:06:33 INFO yarn.Client: Preparing Local resources
java.lang.IllegalArgumentException: Can not create a Path from an empty string
at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
at org.apache.hadoop.fs.Path.<init>(Path.java:135)
at org.apache.hadoop.fs.Path.<init>(Path.java:94)
at org.apache.spark.deploy.yarn.ClientBase$class.copyRemoteFile(ClientBase.scala:159)
at org.apache.spark.deploy.yarn.Client.copyRemoteFile(Client.scala:37)
at org.apache.spark.deploy.yarn.ClientBase$$anonfun$prepareLocalResources$5$$anonfun$apply$2.apply(ClientBase.scala:236)
at org.apache.spark.deploy.yarn.ClientBase$$anonfun$prepareLocalResources$5$$anonfun$apply$2.apply(ClientBase.scala:231)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at org.apache.spark.deploy.yarn.ClientBase$$anonfun$prepareLocalResources$5.apply(ClientBase.scala:231)
at org.apache.spark.deploy.yarn.ClientBase$$anonfun$prepareLocalResources$5.apply(ClientBase.scala:229)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.deploy.yarn.ClientBase$class.prepareLocalResources(ClientBase.scala:229)
at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:37)
at org.apache.spark.deploy.yarn.Client.runApp(Client.scala:74)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:92)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:141)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:333)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:981)
at $iwC$$iwC.<init>(<console>:8)
at $iwC.<init>(<console>:14)
at <init>(<console>:16)
at .<init>(<console>:20)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:823)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:868)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:780)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:121)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:120)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:264)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:120)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:57)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:940)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:142)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:57)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:104)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:57)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:957)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:911)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1006)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:329)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
This part of the error stands out:
java.lang.IllegalArgumentException: Can not create a Path from an empty string
How can I troubleshoot this error?