[ https://issues.apache.org/jira/browse/SPARK-7162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Guoqiang Li updated SPARK-7162: ------------------------------- Description: {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} _LIBRARY_PATH:$JAVA_LIBRARY_PATH --jars lib/hadoop-lzo-0.4.15-gplextras5.0.1-SNAPSHOT.jar,/opt/spark/classes/toona-assembly.jar Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 1.4.0-SNAPSHOT /_/ Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_55) Type in expressions to have them evaluated. Type :help for more information. spark.yarn.driver.memoryOverhead is set but does not apply in client mode. java.io.FileNotFoundException: /etc/hadoop/hadoop (是一个目录) at java.io.FileInputStream.open(Native Method) at java.io.FileInputStream.<init>(FileInputStream.java:146) at org.spark-project.guava.io.Files$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} was: {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,/opt/spark/classes/toona-assembly.jar {code} => {code:none} _LIBRARY_PATH:$JAVA_LIBRARY_PATH --jars lib/hadoop-lzo-0.4.15-gplextras5.0.1-SNAPSHOT.jar,/opt/spark/classes/toona-assembly.jar Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 1.4.0-SNAPSHOT /_/ Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_55) Type in expressions to have them evaluated. Type :help for more information. spark.yarn.driver.memoryOverhead is set but does not apply in client mode. java.io.FileNotFoundException: /etc/hadoop/hadoop (是一个目录) at java.io.FileInputStream.open(Native Method) at java.io.FileInputStream.<init>(FileInputStream.java:146) at org.spark-project.guava.io.Files$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} > spark-shell launcher failure 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} > _LIBRARY_PATH:$JAVA_LIBRARY_PATH --jars > lib/hadoop-lzo-0.4.15-gplextras5.0.1-SNAPSHOT.jar,/opt/spark/classes/toona-assembly.jar > Welcome to > ____ __ > / __/__ ___ _____/ /__ > _\ \/ _ \/ _ `/ __/ '_/ > /___/ .__/\_,_/_/ /_/\_\ version 1.4.0-SNAPSHOT > /_/ > Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_55) > Type in expressions to have them evaluated. > Type :help for more information. > spark.yarn.driver.memoryOverhead is set but does not apply in client mode. > java.io.FileNotFoundException: /etc/hadoop/hadoop (是一个目录) > at java.io.FileInputStream.open(Native Method) > at java.io.FileInputStream.<init>(FileInputStream.java:146) > at > org.spark-project.guava.io.Files$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} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org