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Posted to issues@spark.apache.org by "Guoqiang Li (JIRA)" <ji...@apache.org> on 2015/04/27 10:04:39 UTC
[jira] [Updated] (SPARK-7162) Launcher error in yarn-client
[ https://issues.apache.org/jira/browse/SPARK-7162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Guoqiang Li updated SPARK-7162:
-------------------------------
Summary: Launcher error in yarn-client (was: spark-shell launcher error in yarn-client)
> Launcher error in yarn-client
> -----------------------------
>
> Key: SPARK-7162
> URL: https://issues.apache.org/jira/browse/SPARK-7162
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.4.0
> Reporter: Guoqiang Li
>
> {code:none}
> HADOOP_CONF_DIR=/usr/local/CDH5/hadoop-2.3.0-cdh5.0.1/etc/hadoop/ ./bin/spark-shell --master yarn-client --driver-memory 8g --driver-libraryath $LD_LIBRARY_PATH:$JAVA_LIBRARY_PATH --jars lib/hadoop-lzo-0.4.15-gplextras5.0.1-SNAPSHOT.jar
> {code} =>
> {code:none}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 1.4.0-SNAPSHOT
> /_/
> Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_55)
> Type in expressions to have them evaluated.
> Type :help for more information.
> spark.yarn.driver.memoryOverhead is set but does not apply in client mode.
> java.io.FileNotFoundException: /etc/hadoop/hadoop (是一个目录)
> at java.io.FileInputStream.open(Native Method)
> at java.io.FileInputStream.<init>(FileInputStream.java:146)
> at org.spark-project.guava.io.Files$FileByteSource.openStream(Files.java:124)
> at org.spark-project.guava.io.Files$FileByteSource.openStream(Files.java:114)
> at org.spark-project.guava.io.ByteSource.copyTo(ByteSource.java:182)
> at org.spark-project.guava.io.Files.copy(Files.java:417)
> at org.apache.spark.deploy.yarn.Client$$anonfun$createConfArchive$2.apply(Client.scala:374)
> at org.apache.spark.deploy.yarn.Client$$anonfun$createConfArchive$2.apply(Client.scala:372)
> at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
> at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
> at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
> at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
> at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
> at org.apache.spark.deploy.yarn.Client.createConfArchive(Client.scala:372)
> at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:288)
> at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:466)
> at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:106)
> at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:58)
> at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:141)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:469)
> at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1016)
> at $iwC$$iwC.<init>(<console>:9)
> at $iwC.<init>(<console>:18)
> at <init>(<console>:20)
> at .<init>(<console>:24)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)
> at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:901)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
> at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:123)
> at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:122)
> at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
> at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:122)
> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:973)
> at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:157)
> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
> at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:106)
> at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:990)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
> at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:944)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:607)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:167)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:190)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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