[jira] [Updated] (SPARK-7162) spark-shell launcher failure 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:
---
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}
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
[jira] [Updated] (SPARK-7162) spark-shell launcher failure 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:
---
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
[jira] [Updated] (SPARK-7162) spark-shell launcher failure 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:
---
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,/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
