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-1.5.1-bin-hadoop2.4]$ bin/spark-shell \
> --master spark://slaver1:7077 \
> --executor-memory 512M \
> --total-executor-cores 2
18/05/24 10:26:36 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/05/24 10:26:37 INFO SecurityManager: Changing view acls to: hadoop
18/05/24 10:26:37 INFO SecurityManager: Changing modify acls to: hadoop
18/05/24 10:26:37 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/05/24 10:26:37 INFO HttpServer: Starting HTTP Server
18/05/24 10:26:37 INFO Utils: Successfully started service 'HTTP class server' on port 40833.
Welcome to
____              __
/ __/__  ___ _____/ /__
_\ \/ _ \/ _ `/ __/  '_/
/___/ .__/\_,_/_/ /_/\_\   version 1.5.1
/_/

Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
18/05/24 10:26:44 INFO SparkContext: Running Spark version 1.5.1
18/05/24 10:26:44 WARN SparkConf:
SPARK_WORKER_INSTANCES was detected (set to '1').
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.

18/05/24 10:26:44 INFO SecurityManager: Changing view acls to: hadoop
18/05/24 10:26:44 INFO SecurityManager: Changing modify acls to: hadoop
18/05/24 10:26:44 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/05/24 10:26:45 INFO Slf4jLogger: Slf4jLogger started
18/05/24 10:26:45 INFO Remoting: Starting remoting
18/05/24 10:26:45 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.19.131:54496]
18/05/24 10:26:45 INFO Utils: Successfully started service 'sparkDriver' on port 54496.
18/05/24 10:26:45 INFO SparkEnv: Registering MapOutputTracker
18/05/24 10:26:45 INFO SparkEnv: Registering BlockManagerMaster
18/05/24 10:26:45 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-7badf4b8-7ff2-4e0a-acb9-d91542dec428
18/05/24 10:26:45 INFO MemoryStore: MemoryStore started with capacity 534.5 MB
18/05/24 10:26:46 INFO HttpFileServer: HTTP File server directory is /tmp/spark-de58b384-cdc0-4857-821f-138763cf15ba/httpd-1878a206-a95f-42af-b5de-c41394e7aa7e
18/05/24 10:26:46 INFO HttpServer: Starting HTTP Server
18/05/24 10:26:46 INFO Utils: Successfully started service 'HTTP file server' on port 41154.
18/05/24 10:26:46 INFO SparkEnv: Registering OutputCommitCoordinator
18/05/24 10:26:46 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/05/24 10:26:46 INFO SparkUI: Started SparkUI at http://192.168.19.131:4040
18/05/24 10:26:46 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
18/05/24 10:26:47 INFO AppClient$ClientEndpoint: Connecting to master spark://slaver1:7077...
18/05/24 10:26:47 INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app-20180524102647-0001
18/05/24 10:26:47 INFO AppClient$ClientEndpoint: Executor added: app-20180524102647-0001/0 on worker-20180524100824-192.168.19.132-7078 (192.168.19.132:7078) with 1 cores
18/05/24 10:26:47 INFO SparkDeploySchedulerBackend: Granted executor ID app-20180524102647-0001/0 on hostPort 192.168.19.132:7078 with 1 cores, 512.0 MB RAM
18/05/24 10:26:47 INFO AppClient$ClientEndpoint: Executor added: app-20180524102647-0001/1 on worker-20180524100822-192.168.19.133-7078 (192.168.19.133:7078) with 1 cores
18/05/24 10:26:47 INFO SparkDeploySchedulerBackend: Granted executor ID app-20180524102647-0001/1 on hostPort 192.168.19.133:7078 with 1 cores, 512.0 MB RAM
18/05/24 10:26:47 INFO AppClient$ClientEndpoint: Executor updated: app-20180524102647-0001/0 is now RUNNING
18/05/24 10:26:47 INFO AppClient$ClientEndpoint: Executor updated: app-20180524102647-0001/1 is now RUNNING
18/05/24 10:26:48 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 50133.
18/05/24 10:26:48 INFO NettyBlockTransferService: Server created on 50133
18/05/24 10:26:48 INFO BlockManagerMaster: Trying to register BlockManager
18/05/24 10:26:48 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.131:50133 with 534.5 MB RAM, BlockManagerId(driver, 192.168.19.131, 50133)
18/05/24 10:26:48 INFO BlockManagerMaster: Registered BlockManager
18/05/24 10:26:48 INFO AppClient$ClientEndpoint: Executor updated: app-20180524102647-0001/1 is now LOADING
18/05/24 10:26:48 INFO AppClient$ClientEndpoint: Executor updated: app-20180524102647-0001/0 is now LOADING
18/05/24 10:26:49 ERROR SparkContext: Error initializing SparkContext.
java.net.ConnectException: Call From slaver1/192.168.19.131 to slaver1:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:783)
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:730)
at org.apache.hadoop.ipc.Client.call(Client.java:1414)
at org.apache.hadoop.ipc.Client.call(Client.java:1363)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:190)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:103)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:699)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1762)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1124)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1120)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1120)
at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:100)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:541)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $line3.$read$$iwC$$iwC.<init>(<console>:9)
at $line3.$read$$iwC.<init>(<console>:18)
at $line3.$read.<init>(<console>:20)
at $line3.$read$.<init>(<console>:24)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
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:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.ConnectException: Connection refused
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:529)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:493)
at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:604)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:699)
at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:367)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1462)
at org.apache.hadoop.ipc.Client.call(Client.java:1381)
... 66 more
18/05/24 10:26:49 INFO SparkUI: Stopped Spark web UI at http://192.168.19.131:4040
18/05/24 10:26:49 INFO DAGScheduler: Stopping DAGScheduler
18/05/24 10:26:49 INFO SparkDeploySchedulerBackend: Shutting down all executors
18/05/24 10:26:49 INFO SparkDeploySchedulerBackend: Asking each executor to shut down
18/05/24 10:26:49 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/05/24 10:26:49 INFO MemoryStore: MemoryStore cleared
18/05/24 10:26:49 INFO BlockManager: BlockManager stopped
18/05/24 10:26:49 INFO BlockManagerMaster: BlockManagerMaster stopped
18/05/24 10:26:49 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/05/24 10:26:49 INFO SparkContext: Successfully stopped SparkContext
18/05/24 10:26:49 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
18/05/24 10:26:49 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
18/05/24 10:26:50 INFO RemoteActorRefProvider$RemotingTerminator: Remoting shut down.
java.net.ConnectException: Call From slaver1/192.168.19.131 to slaver1:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:783)
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:730)
at org.apache.hadoop.ipc.Client.call(Client.java:1414)
at org.apache.hadoop.ipc.Client.call(Client.java:1363)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:190)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:103)
at com.sun.proxy.$Proxy14.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:699)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1762)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1124)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1120)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1120)
at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:100)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:541)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $iwC$$iwC.<init>(<console>:9)
at $iwC.<init>(<console>:18)
at <init>(<console>:20)
at .<init>(<console>:24)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
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:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.ConnectException: Connection refused
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:529)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:493)
at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:604)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:699)
at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:367)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1462)
at org.apache.hadoop.ipc.Client.call(Client.java:1381)
... 66 more

java.lang.NullPointerException
at org.apache.spark.sql.execution.ui.SQLListener.<init>(SQLListener.scala:34)
at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:77)
at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:72)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
at $iwC$$iwC.<init>(<console>:9)
at $iwC.<init>(<console>:18)
at <init>(<console>:20)
at .<init>(<console>:24)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:132)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
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:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

<console>:10: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:10: 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-1.5.1-bin-hadoop2.4]$ bin/spark-shell --master spark://slaver1:7077 --executor-memory 512M
18/05/24 11:04:27 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/05/24 11:04:27 INFO SecurityManager: Changing view acls to: hadoop
18/05/24 11:04:27 INFO SecurityManager: Changing modify acls to: hadoop
18/05/24 11:04:27 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/05/24 11:04:28 INFO HttpServer: Starting HTTP Server
18/05/24 11:04:28 INFO Utils: Successfully started service 'HTTP class server' on port 49309.
Welcome to
____              __
/ __/__  ___ _____/ /__
_\ \/ _ \/ _ `/ __/  '_/
/___/ .__/\_,_/_/ /_/\_\   version 1.5.1
/_/

Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
18/05/24 11:04:45 INFO SparkContext: Running Spark version 1.5.1
18/05/24 11:04:45 WARN SparkConf:
SPARK_WORKER_INSTANCES was detected (set to '1').
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.

18/05/24 11:04:45 INFO SecurityManager: Changing view acls to: hadoop
18/05/24 11:04:45 INFO SecurityManager: Changing modify acls to: hadoop
18/05/24 11:04:45 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/05/24 11:04:47 INFO Slf4jLogger: Slf4jLogger started
18/05/24 11:04:47 INFO Remoting: Starting remoting
18/05/24 11:04:48 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.19.131:42322]
18/05/24 11:04:48 INFO Utils: Successfully started service 'sparkDriver' on port 42322.
18/05/24 11:04:48 INFO SparkEnv: Registering MapOutputTracker
18/05/24 11:04:48 INFO SparkEnv: Registering BlockManagerMaster
18/05/24 11:04:48 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-d2a42fd5-466c-4cfc-88bf-8e8e44a14268
18/05/24 11:04:48 INFO MemoryStore: MemoryStore started with capacity 534.5 MB
18/05/24 11:04:49 INFO HttpFileServer: HTTP File server directory is /tmp/spark-2d383016-d4d2-43d2-984b-198f36b5241d/httpd-9d7feaf4-6227-4ba3-8d61-991dbbc30d27
18/05/24 11:04:49 INFO HttpServer: Starting HTTP Server
18/05/24 11:04:49 INFO Utils: Successfully started service 'HTTP file server' on port 48428.
18/05/24 11:04:49 INFO SparkEnv: Registering OutputCommitCoordinator
18/05/24 11:04:50 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/05/24 11:04:50 INFO SparkUI: Started SparkUI at http://192.168.19.131:4040
18/05/24 11:04:51 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
18/05/24 11:04:52 INFO AppClient$ClientEndpoint: Connecting to master spark://slaver1:7077...
18/05/24 11:04:57 INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app-20180524110456-0001
18/05/24 11:04:57 INFO AppClient$ClientEndpoint: Executor added: app-20180524110456-0001/0 on worker-20180524105217-192.168.19.132-7078 (192.168.19.132:7078) with 1 cores
18/05/24 11:04:57 INFO SparkDeploySchedulerBackend: Granted executor ID app-20180524110456-0001/0 on hostPort 192.168.19.132:7078 with 1 cores, 512.0 MB RAM
18/05/24 11:04:57 INFO AppClient$ClientEndpoint: Executor added: app-20180524110456-0001/1 on worker-20180524105216-192.168.19.133-7078 (192.168.19.133:7078) with 1 cores
18/05/24 11:04:57 INFO SparkDeploySchedulerBackend: Granted executor ID app-20180524110456-0001/1 on hostPort 192.168.19.133:7078 with 1 cores, 512.0 MB RAM
18/05/24 11:05:02 INFO AppClient$ClientEndpoint: Executor updated: app-20180524110456-0001/0 is now LOADING
18/05/24 11:05:02 INFO AppClient$ClientEndpoint: Executor updated: app-20180524110456-0001/1 is now LOADING
18/05/24 11:05:02 INFO AppClient$ClientEndpoint: Executor updated: app-20180524110456-0001/0 is now RUNNING
18/05/24 11:05:02 INFO AppClient$ClientEndpoint: Executor updated: app-20180524110456-0001/1 is now RUNNING
18/05/24 11:05:04 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 54059.
18/05/24 11:05:04 INFO NettyBlockTransferService: Server created on 54059
18/05/24 11:05:04 INFO BlockManagerMaster: Trying to register BlockManager
18/05/24 11:05:05 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.131:54059 with 534.5 MB RAM, BlockManagerId(driver, 192.168.19.131, 54059)
18/05/24 11:05:05 INFO BlockManagerMaster: Registered BlockManager
18/05/24 11:05:11 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
18/05/24 11:05:11 INFO SparkILoop: Created spark context..
Spark context available as sc.
18/05/24 11:05:24 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@192.168.19.133:52946/user/Executor#659827168]) with ID 1
18/05/24 11:05:25 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@192.168.19.132:32851/user/Executor#2084326958]) with ID 0
18/05/24 11:05:25 INFO HiveContext: Initializing execution hive, version 1.2.1
18/05/24 11:05:26 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.133:48833 with 267.3 MB RAM, BlockManagerId(1, 192.168.19.133, 48833)
18/05/24 11:05:26 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.132:55208 with 267.3 MB RAM, BlockManagerId(0, 192.168.19.132, 55208)
18/05/24 11:05:27 INFO ClientWrapper: Inspected Hadoop version: 2.4.0
18/05/24 11:05:27 INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.4.0
18/05/24 11:05:33 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
18/05/24 11:05:33 INFO ObjectStore: ObjectStore, initialize called
18/05/24 11:05:36 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
18/05/24 11:05:36 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
18/05/24 11:05:37 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/05/24 11:05:45 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/05/24 11:05:50 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
18/05/24 11:05:53 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:05:53 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:05:56 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:05:56 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:05:58 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY
18/05/24 11:05:58 INFO ObjectStore: Initialized ObjectStore
18/05/24 11:05:59 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
18/05/24 11:05:59 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
18/05/24 11:06:00 INFO HiveMetaStore: Added admin role in metastore
18/05/24 11:06:00 INFO HiveMetaStore: Added public role in metastore
18/05/24 11:06:00 INFO HiveMetaStore: No user is added in admin role, since config is empty
18/05/24 11:06:01 INFO HiveMetaStore: 0: get_all_databases
18/05/24 11:06:01 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_all_databases
18/05/24 11:06:01 INFO HiveMetaStore: 0: get_functions: db=default pat=*
18/05/24 11:06:01 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_functions: db=default pat=*
18/05/24 11:06:01 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:06:12 INFO SessionState: Created local directory: /tmp/a2f92e9b-0be3-4c46-9637-f3813cc42f3b_resources
18/05/24 11:06:13 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/a2f92e9b-0be3-4c46-9637-f3813cc42f3b
18/05/24 11:06:13 INFO SessionState: Created local directory: /tmp/hadoop/a2f92e9b-0be3-4c46-9637-f3813cc42f3b
18/05/24 11:06:13 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/a2f92e9b-0be3-4c46-9637-f3813cc42f3b/_tmp_space.db
18/05/24 11:06:13 INFO HiveContext: default warehouse location is /user/hive/warehouse
18/05/24 11:06:13 INFO HiveContext: Initializing HiveMetastoreConnection version 1.2.1 using Spark classes.
18/05/24 11:06:14 INFO ClientWrapper: Inspected Hadoop version: 2.4.0
18/05/24 11:06:14 INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.4.0
18/05/24 11:06:15 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/05/24 11:06:16 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
18/05/24 11:06:16 INFO ObjectStore: ObjectStore, initialize called
18/05/24 11:06:17 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
18/05/24 11:06:17 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
18/05/24 11:06:17 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/05/24 11:06:18 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/05/24 11:06:23 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
18/05/24 11:06:25 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:06:25 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:06:26 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:06:26 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:06:26 INFO Query: Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
18/05/24 11:06:26 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY
18/05/24 11:06:26 INFO ObjectStore: Initialized ObjectStore
18/05/24 11:06:27 INFO HiveMetaStore: Added admin role in metastore
18/05/24 11:06:27 INFO HiveMetaStore: Added public role in metastore
18/05/24 11:06:27 INFO HiveMetaStore: No user is added in admin role, since config is empty
18/05/24 11:06:28 INFO HiveMetaStore: 0: get_all_databases
18/05/24 11:06:28 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_all_databases
18/05/24 11:06:28 INFO HiveMetaStore: 0: get_functions: db=default pat=*
18/05/24 11:06:28 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_functions: db=default pat=*
18/05/24 11:06:28 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
18/05/24 11:06:31 INFO SessionState: Created local directory: /tmp/9203a30a-f597-4e60-bdcc-a546b37e9066_resources
18/05/24 11:06:31 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/9203a30a-f597-4e60-bdcc-a546b37e9066
18/05/24 11:06:31 INFO SessionState: Created local directory: /tmp/hadoop/9203a30a-f597-4e60-bdcc-a546b37e9066
18/05/24 11:06:31 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/9203a30a-f597-4e60-bdcc-a546b37e9066/_tmp_space.db
18/05/24 11:06:31 INFO SparkILoop: Created sql context (with Hive support)..
SQL context available as sqlContext.

scala>