error: not found: value sqlContext/import sqlContext.implicits._/error: not found: value sqlContext /import sqlContext.sql/Caused by: java.net.ConnectException: Connection refused
1、今天启动启动spark的spark-shell命令的时候报下面的错误，百度了很多，也没解决问题，最后想着是不是没有启动hadoop集群的问题
，可是之前启动spark-shell命令是不用启动hadoop集群也是可以启动起来的。今天突然报错了。
[hadoop@slaver1 spark-1.5.-bin-hadoop2.]$ bin/spark-shell \
> --master spark://slaver1:7077 \
> --executor-memory 512M \
> --total-executor-cores
// :: WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
// :: INFO SecurityManager: Changing view acls to: hadoop
// :: INFO SecurityManager: Changing modify acls to: hadoop
// :: INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
// :: INFO HttpServer: Starting HTTP Server
// :: INFO Utils: Successfully started service 'HTTP class server' on port .
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.5.
/_/ Using Scala version 2.10. (Java HotSpot(TM) -Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
// :: INFO SparkContext: Running Spark version 1.5.
// :: WARN SparkConf:
SPARK_WORKER_INSTANCES was detected (set to '').
This is deprecated in Spark 1.0+. Please instead use:
- ./spark-submit with --num-executors to specify the number of executors
- Or set SPARK_EXECUTOR_INSTANCES
- spark.executor.instances to configure the number of instances in the spark config. // :: INFO SecurityManager: Changing view acls to: hadoop
// :: INFO SecurityManager: Changing modify acls to: hadoop
// :: INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
// :: INFO Slf4jLogger: Slf4jLogger started
// :: INFO Remoting: Starting remoting
// :: INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.19.131:54496]
// :: INFO Utils: Successfully started service 'sparkDriver' on port .
// :: INFO SparkEnv: Registering MapOutputTracker
// :: INFO SparkEnv: Registering BlockManagerMaster
// :: INFO DiskBlockManager: Created local directory at /tmp/blockmgr-7badf4b8-7ff2-4e0a-acb9-d91542dec428
// :: INFO MemoryStore: MemoryStore started with capacity 534.5 MB
// :: INFO HttpFileServer: HTTP File server directory is /tmp/spark-de58b384-cdc0--821f-138763cf15ba/httpd-1878a206-a95f-42af-b5de-c41394e7aa7e
// :: INFO HttpServer: Starting HTTP Server
// :: INFO Utils: Successfully started service 'HTTP file server' on port .
// :: INFO SparkEnv: Registering OutputCommitCoordinator
// :: INFO Utils: Successfully started service 'SparkUI' on port .
// :: INFO SparkUI: Started SparkUI at http://192.168.19.131:4040
// :: WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
// :: INFO AppClient$ClientEndpoint: Connecting to master spark://slaver1:7077...
// :: INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app--
// :: INFO AppClient$ClientEndpoint: Executor added: app--/ on worker--192.168.19.132- (192.168.19.132:) with cores
// :: INFO SparkDeploySchedulerBackend: Granted executor ID app--/ on hostPort 192.168.19.132: with cores, 512.0 MB RAM
// :: INFO AppClient$ClientEndpoint: Executor added: app--/ on worker--192.168.19.133- (192.168.19.133:) with cores
// :: INFO SparkDeploySchedulerBackend: Granted executor ID app--/ on hostPort 192.168.19.133: with cores, 512.0 MB RAM
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now RUNNING
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now RUNNING
// :: INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port .
// :: INFO NettyBlockTransferService: Server created on
// :: INFO BlockManagerMaster: Trying to register BlockManager
// :: INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.131: with 534.5 MB RAM, BlockManagerId(driver, 192.168.19.131, )
// :: INFO BlockManagerMaster: Registered BlockManager
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now LOADING
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now LOADING
// :: ERROR SparkContext: Error initializing SparkContext.
java.net.ConnectException: Call From slaver1/192.168.19.131 to slaver1: failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)
at java.lang.reflect.Constructor.newInstance(Constructor.java:)
at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:)
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:)
at org.apache.hadoop.ipc.Client.call(Client.java:)
at org.apache.hadoop.ipc.Client.call(Client.java:)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:)
at org.apache.hadoop.hdfs.DistributedFileSystem$.doCall(DistributedFileSystem.java:)
at org.apache.hadoop.hdfs.DistributedFileSystem$.doCall(DistributedFileSystem.java:)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:)
at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:)
at $line3.$read$$iwC$$iwC.<init>(<console>:)
at $line3.$read$$iwC.<init>(<console>:)
at $line3.$read.<init>(<console>:)
at $line3.$read$.<init>(<console>:)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:)
at org.apache.spark.repl.SparkILoop.reallyInterpret$(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$.apply(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$.apply(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$$$anonfun$apply$mcZ$sp$.apply$mcV$sp(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply$mcZ$sp(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply(SparkILoop.scala:)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:)
at org.apache.spark.repl.Main$.main(Main.scala:)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.ConnectException: Connection refused
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:)
at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:)
at org.apache.hadoop.ipc.Client$Connection.access$(Client.java:)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:)
at org.apache.hadoop.ipc.Client.call(Client.java:)
... more
// :: INFO SparkUI: Stopped Spark web UI at http://192.168.19.131:4040
// :: INFO DAGScheduler: Stopping DAGScheduler
// :: INFO SparkDeploySchedulerBackend: Shutting down all executors
// :: INFO SparkDeploySchedulerBackend: Asking each executor to shut down
// :: INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
// :: INFO MemoryStore: MemoryStore cleared
// :: INFO BlockManager: BlockManager stopped
// :: INFO BlockManagerMaster: BlockManagerMaster stopped
// :: INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
// :: INFO SparkContext: Successfully stopped SparkContext
// :: INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
// :: INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
// :: INFO RemoteActorRefProvider$RemotingTerminator: Remoting shut down.
java.net.ConnectException: Call From slaver1/192.168.19.131 to slaver1: failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)
at java.lang.reflect.Constructor.newInstance(Constructor.java:)
at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:)
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:)
at org.apache.hadoop.ipc.Client.call(Client.java:)
at org.apache.hadoop.ipc.Client.call(Client.java:)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:)
at org.apache.hadoop.hdfs.DistributedFileSystem$.doCall(DistributedFileSystem.java:)
at org.apache.hadoop.hdfs.DistributedFileSystem$.doCall(DistributedFileSystem.java:)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:)
at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:)
at $iwC$$iwC.<init>(<console>:)
at $iwC.<init>(<console>:)
at <init>(<console>:)
at .<init>(<console>:)
at .<clinit>(<console>)
at .<init>(<console>:)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:)
at org.apache.spark.repl.SparkILoop.reallyInterpret$(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$.apply(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$.apply(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$$$anonfun$apply$mcZ$sp$.apply$mcV$sp(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply$mcZ$sp(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply(SparkILoop.scala:)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:)
at org.apache.spark.repl.Main$.main(Main.scala:)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.ConnectException: Connection refused
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:)
at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:)
at org.apache.hadoop.ipc.Client$Connection.access$(Client.java:)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:)
at org.apache.hadoop.ipc.Client.call(Client.java:)
... more java.lang.NullPointerException
at org.apache.spark.sql.execution.ui.SQLListener.<init>(SQLListener.scala:)
at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:)
at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)
at java.lang.reflect.Constructor.newInstance(Constructor.java:)
at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:)
at $iwC$$iwC.<init>(<console>:)
at $iwC.<init>(<console>:)
at <init>(<console>:)
at .<init>(<console>:)
at .<clinit>(<console>)
at .<init>(<console>:)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:)
at org.apache.spark.repl.SparkILoop.reallyInterpret$(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$.apply(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$.apply(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$$$anonfun$apply$mcZ$sp$.apply$mcV$sp(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply$mcZ$sp(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$.apply(SparkILoop.scala:)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:)
at org.apache.spark.repl.Main$.main(Main.scala:)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) <console>:: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:: error: not found: value sqlContext
import sqlContext.sql
^ scala>
2、然后启动hadoop集群以后出现如下所示：
[hadoop@slaver1 spark-1.5.-bin-hadoop2.]$ bin/spark-shell --master spark://slaver1:7077 --executor-memory 512M
// :: WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
// :: INFO SecurityManager: Changing view acls to: hadoop
// :: INFO SecurityManager: Changing modify acls to: hadoop
// :: INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
// :: INFO HttpServer: Starting HTTP Server
// :: INFO Utils: Successfully started service 'HTTP class server' on port .
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.5.
/_/ Using Scala version 2.10. (Java HotSpot(TM) -Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
// :: INFO SparkContext: Running Spark version 1.5.
// :: WARN SparkConf:
SPARK_WORKER_INSTANCES was detected (set to '').
This is deprecated in Spark 1.0+. Please instead use:
- ./spark-submit with --num-executors to specify the number of executors
- Or set SPARK_EXECUTOR_INSTANCES
- spark.executor.instances to configure the number of instances in the spark config. // :: INFO SecurityManager: Changing view acls to: hadoop
// :: INFO SecurityManager: Changing modify acls to: hadoop
// :: INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
// :: INFO Slf4jLogger: Slf4jLogger started
// :: INFO Remoting: Starting remoting
// :: INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.19.131:42322]
// :: INFO Utils: Successfully started service 'sparkDriver' on port .
// :: INFO SparkEnv: Registering MapOutputTracker
// :: INFO SparkEnv: Registering BlockManagerMaster
// :: INFO DiskBlockManager: Created local directory at /tmp/blockmgr-d2a42fd5-466c-4cfc-88bf-8e8e44a14268
// :: INFO MemoryStore: MemoryStore started with capacity 534.5 MB
// :: INFO HttpFileServer: HTTP File server directory is /tmp/spark-2d383016-d4d2-43d2-984b-198f36b5241d/httpd-9d7feaf4--4ba3-8d61-991dbbc30d27
// :: INFO HttpServer: Starting HTTP Server
// :: INFO Utils: Successfully started service 'HTTP file server' on port .
// :: INFO SparkEnv: Registering OutputCommitCoordinator
// :: INFO Utils: Successfully started service 'SparkUI' on port .
// :: INFO SparkUI: Started SparkUI at http://192.168.19.131:4040
// :: WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
// :: INFO AppClient$ClientEndpoint: Connecting to master spark://slaver1:7077...
// :: INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app--
// :: INFO AppClient$ClientEndpoint: Executor added: app--/ on worker--192.168.19.132- (192.168.19.132:) with cores
// :: INFO SparkDeploySchedulerBackend: Granted executor ID app--/ on hostPort 192.168.19.132: with cores, 512.0 MB RAM
// :: INFO AppClient$ClientEndpoint: Executor added: app--/ on worker--192.168.19.133- (192.168.19.133:) with cores
// :: INFO SparkDeploySchedulerBackend: Granted executor ID app--/ on hostPort 192.168.19.133: with cores, 512.0 MB RAM
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now LOADING
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now LOADING
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now RUNNING
// :: INFO AppClient$ClientEndpoint: Executor updated: app--/ is now RUNNING
// :: INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port .
// :: INFO NettyBlockTransferService: Server created on
// :: INFO BlockManagerMaster: Trying to register BlockManager
// :: INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.131: with 534.5 MB RAM, BlockManagerId(driver, 192.168.19.131, )
// :: INFO BlockManagerMaster: Registered BlockManager
// :: INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
// :: INFO SparkILoop: Created spark context..
Spark context available as sc.
// :: INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@192.168.19.133:52946/user/Executor#659827168]) with ID 1
// :: INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@192.168.19.132:32851/user/Executor#2084326958]) with ID 0
// :: INFO HiveContext: Initializing execution hive, version 1.2.
// :: INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.133: with 267.3 MB RAM, BlockManagerId(, 192.168.19.133, )
// :: INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.132: with 267.3 MB RAM, BlockManagerId(, 192.168.19.132, )
// :: INFO ClientWrapper: Inspected Hadoop version: 2.4.
// :: INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.4.
// :: INFO HiveMetaStore: : Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
// :: INFO ObjectStore: ObjectStore, initialize called
// :: INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
// :: INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
// :: WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
// :: WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
// :: INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY
// :: INFO ObjectStore: Initialized ObjectStore
// :: WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.
// :: WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
// :: INFO HiveMetaStore: Added admin role in metastore
// :: INFO HiveMetaStore: Added public role in metastore
// :: INFO HiveMetaStore: No user is added in admin role, since config is empty
// :: INFO HiveMetaStore: : get_all_databases
// :: INFO audit: ugi=hadoop ip=unknown-ip-addr cmd=get_all_databases
// :: INFO HiveMetaStore: : get_functions: db=default pat=*
// :: INFO audit: ugi=hadoop ip=unknown-ip-addr cmd=get_functions: db=default pat=*
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO SessionState: Created local directory: /tmp/a2f92e9b-0be3-4c46--f3813cc42f3b_resources
// :: INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/a2f92e9b-0be3-4c46--f3813cc42f3b
// :: INFO SessionState: Created local directory: /tmp/hadoop/a2f92e9b-0be3-4c46--f3813cc42f3b
// :: INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/a2f92e9b-0be3-4c46--f3813cc42f3b/_tmp_space.db
// :: INFO HiveContext: default warehouse location is /user/hive/warehouse
// :: INFO HiveContext: Initializing HiveMetastoreConnection version 1.2. using Spark classes.
// :: INFO ClientWrapper: Inspected Hadoop version: 2.4.
// :: INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.4.
// :: WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
// :: INFO HiveMetaStore: : Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
// :: INFO ObjectStore: ObjectStore, initialize called
// :: INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
// :: INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
// :: WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
// :: WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
// :: INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO Query: Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
// :: INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY
// :: INFO ObjectStore: Initialized ObjectStore
// :: INFO HiveMetaStore: Added admin role in metastore
// :: INFO HiveMetaStore: Added public role in metastore
// :: INFO HiveMetaStore: No user is added in admin role, since config is empty
// :: INFO HiveMetaStore: : get_all_databases
// :: INFO audit: ugi=hadoop ip=unknown-ip-addr cmd=get_all_databases
// :: INFO HiveMetaStore: : get_functions: db=default pat=*
// :: INFO audit: ugi=hadoop ip=unknown-ip-addr cmd=get_functions: db=default pat=*
// :: INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
// :: INFO SessionState: Created local directory: /tmp/9203a30a-f597-4e60-bdcc-a546b37e9066_resources
// :: INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/9203a30a-f597-4e60-bdcc-a546b37e9066
// :: INFO SessionState: Created local directory: /tmp/hadoop/9203a30a-f597-4e60-bdcc-a546b37e9066
// :: INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/9203a30a-f597-4e60-bdcc-a546b37e9066/_tmp_space.db
// :: INFO SparkILoop: Created sql context (with Hive support)..
SQL context available as sqlContext. scala>
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