Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077
2018-02-22 17:58
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1:启动Spark Shell,spark-shell是Spark自带的交互式Shell程序,方便用户进行交互式编程,用户可以在该命令行下用scala编写spark程序。
启动Spark Shell,出现的错误如下所示:
2:解决方法,是你必须先启动你的Spark集群,这样再启动Spark Shell即可:
在master节点,启动你的spark集群,启动方式如下所示:
[root@master spark-1.6.1-bin-hadoop2.6]# sbin/start-all.sh
然后再启动你的Spark Shell即可,解决上面的错误:
[root@master spark-1.6.1-bin-hadoop2.6]# bin/spark-shell --master spark://master:7077 --executor-memory 512M --total-executor-cores 2
启动的内容,注意一些重点内容:
第33行,第47行,第119行。
启动Spark Shell,出现的错误如下所示:
[root@master spark-1.6.1-bin-hadoop2.6]# bin/spark-shell --master spark://master:7077 --executor-memory 512M --total-executor-cores 2 18/02/22 01:42:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 18/02/22 01:42:10 INFO SecurityManager: Changing view acls to: root 18/02/22 01:42:10 INFO SecurityManager: Changing modify acls to: root 18/02/22 01:42:10 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root) 18/02/22 01:42:11 INFO HttpServer: Starting HTTP Server 18/02/22 01:42:11 INFO Utils: Successfully started service 'HTTP class server' on port 52961. Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 1.6.1 /_/ Using Scala version 2.10.5 (Java HotSpot(TM) Client VM, Java 1.7.0_65) Type in expressions to have them evaluated. Type :help for more information. 18/02/22 01:42:15 INFO SparkContext: Running Spark version 1.6.1 18/02/22 01:42:15 INFO SecurityManager: Changing view acls to: root 18/02/22 01:42:15 INFO SecurityManager: Changing modify acls to: root 18/02/22 01:42:15 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root) 18/02/22 01:42:15 INFO Utils: Successfully started service 'sparkDriver' on port 43566. 18/02/22 01:42:16 INFO Slf4jLogger: Slf4jLogger started 18/02/22 01:42:16 INFO Remoting: Starting remoting 18/02/22 01:42:16 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.3.129:43806] 18/02/22 01:42:16 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 43806. 18/02/22 01:42:16 INFO SparkEnv: Registering MapOutputTracker 18/02/22 01:42:16 INFO SparkEnv: Registering BlockManagerMaster 18/02/22 01:42:16 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-7face114-24b5-4f0e-adb6-8a104e387c78 18/02/22 01:42:16 INFO MemoryStore: MemoryStore started with capacity 517.4 MB 18/02/22 01:42:16 INFO SparkEnv: Registering OutputCommitCoordinator 18/02/22 01:42:16 INFO Utils: Successfully started service 'SparkUI' on port 4040. 18/02/22 01:42:16 INFO SparkUI: Started SparkUI at http://192.168.3.129:4040 18/02/22 01:42:17 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:42:17 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077 java.io.IOException: Failed to connect to master/192.168.3.129:7077 at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167) at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ... 1 more 18/02/22 01:42:37 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:42:37 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077 java.io.IOException: Failed to connect to master/192.168.3.129:7077 at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167) at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ... 1 more 18/02/22 01:42:57 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:42:57 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077 java.io.IOException: Failed to connect to master/192.168.3.129:7077 at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167) at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ... 1 more 18/02/22 01:42:57 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:42:57 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077 java.io.IOException: Failed to connect to master/192.168.3.129:7077 at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167) at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ... 1 more 18/02/22 01:43:17 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:43:17 ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up. 18/02/22 01:43:17 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:43:17 WARN SparkDeploySchedulerBackend: Application ID is not initialized yet. 18/02/22 01:43:17 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077 java.io.IOException: Failed to connect to master/192.168.3.129:7077 at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167) at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ... 1 more 18/02/22 01:43:17 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 50513. 18/02/22 01:43:17 INFO NettyBlockTransferService: Server created on 50513 18/02/22 01:43:17 INFO BlockManagerMaster: Trying to register BlockManager 18/02/22 01:43:17 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.3.129:50513 with 517.4 MB RAM, BlockManagerId(driver, 192.168.3.129, 50513) 18/02/22 01:43:17 INFO BlockManagerMaster: Registered BlockManager 18/02/22 01:43:17 INFO SparkUI: Stopped Spark web UI at http://192.168.3.129:4040 18/02/22 01:43:17 INFO SparkDeploySchedulerBackend: Shutting down all executors 18/02/22 01:43:17 INFO SparkDeploySchedulerBackend: Asking each executor to shut down 18/02/22 01:43:17 WARN AppClient$ClientEndpoint: Drop UnregisterApplication(null) because has not yet connected to master 18/02/22 01:43:17 ERROR MapOutputTrackerMaster: Error communicating with MapOutputTracker java.lang.InterruptedException at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedNanos(AbstractQueuedSynchronizer.java:1038) at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326) at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208) at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75) at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101) at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77) at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:110) at org.apache.spark.MapOutputTracker.sendTracker(MapOutputTracker.scala:120) at org.apache.spark.MapOutputTrackerMaster.stop(MapOutputTracker.scala:462) at org.apache.spark.SparkEnv.stop(SparkEnv.scala:93) at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1756) at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1229) at org.apache.spark.SparkContext.stop(SparkContext.scala:1755) at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:127) at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134) at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 18/02/22 01:43:17 ERROR Utils: Uncaught exception in thread appclient-registration-retry-thread org.apache.spark.SparkException: Error communicating with MapOutputTracker at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:114) at org.apache.spark.MapOutputTracker.sendTracker(MapOutputTracker.scala:120) at org.apache.spark.MapOutputTrackerMaster.stop(MapOutputTracker.scala:462) at org.apache.spark.SparkEnv.stop(SparkEnv.scala:93) at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1756) at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1229) at org.apache.spark.SparkContext.stop(SparkContext.scala:1755) at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:127) at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134) at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.InterruptedException at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedNanos(AbstractQueuedSynchronizer.java:1038) at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326) at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208) at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75) at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101) at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77) at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:110) ... 18 more 18/02/22 01:43:17 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 18/02/22 01:43:17 INFO SparkContext: Successfully stopped SparkContext 18/02/22 01:43:17 ERROR SparkUncaughtExceptionHandler: Uncaught exception in thread Thread[appclient-registration-retry-thread,5,main] org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.TaskSchedulerImpl.error(TaskSchedulerImpl.scala:438) at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:124) at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134) at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 18/02/22 01:43:17 INFO DiskBlockManager: Shutdown hook called 18/02/22 01:43:17 INFO ShutdownHookManager: Shutdown hook called 18/02/22 01:43:17 INFO ShutdownHookManager: Deleting directory /tmp/spark-bf09944d-9867-4256-89c6-e8b415c9c315/userFiles-12e582c1-0438-490f-a8a2-64264d764463 18/02/22 01:43:17 INFO ShutdownHookManager: Deleting directory /tmp/spark-7c648867-90b8-4d3c-af09-b1f3d16d1b30 18/02/22 01:43:17 INFO ShutdownHookManager: Deleting directory /tmp/spark-bf09944d-9867-4256-89c6-e8b415c9c315
2:解决方法,是你必须先启动你的Spark集群,这样再启动Spark Shell即可:
在master节点,启动你的spark集群,启动方式如下所示:
[root@master spark-1.6.1-bin-hadoop2.6]# sbin/start-all.sh
然后再启动你的Spark Shell即可,解决上面的错误:
[root@master spark-1.6.1-bin-hadoop2.6]# bin/spark-shell --master spark://master:7077 --executor-memory 512M --total-executor-cores 2
启动的内容,注意一些重点内容:
第33行,第47行,第119行。
[root@master spark-1.6.1-bin-hadoop2.6]# bin/spark-shell --master spark://master:7077 --executor-memory 512M --total-executor-cores 2 18/02/22 01:51:00 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 18/02/22 01:51:00 INFO SecurityManager: Changing view acls to: root 18/02/22 01:51:00 INFO SecurityManager: Changing modify acls to: root 18/02/22 01:51:00 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root) 18/02/22 01:51:00 INFO HttpServer: Starting HTTP Server 18/02/22 01:51:00 INFO Utils: Successfully started service 'HTTP class server' on port 58729. Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 1.6.1 /_/ Using Scala version 2.10.5 (Java HotSpot(TM) Client VM, Java 1.7.0_65) Type in expressions to have them evaluated. Type :help for more information. 18/02/22 01:51:06 INFO SparkContext: Running Spark version 1.6.1 18/02/22 01:51:06 INFO SecurityManager: Changing view acls to: root 18/02/22 01:51:06 INFO SecurityManager: Changing modify acls to: root 18/02/22 01:51:06 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root) 18/02/22 01:51:06 INFO Utils: Successfully started service 'sparkDriver' on port 45298. 18/02/22 01:51:06 INFO Slf4jLogger: Slf4jLogger started 18/02/22 01:51:06 INFO Remoting: Starting remoting 18/02/22 01:51:07 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.3.129:36868] 18/02/22 01:51:07 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 36868. 18/02/22 01:51:07 INFO SparkEnv: Registering MapOutputTracker 18/02/22 01:51:07 INFO SparkEnv: Registering BlockManagerMaster 18/02/22 01:51:07 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-3b5e312e-7f6b-491d-8539-4a5f38d3839a 18/02/22 01:51:07 INFO MemoryStore: MemoryStore started with capacity 517.4 MB 18/02/22 01:51:07 INFO SparkEnv: Registering OutputCommitCoordinator 18/02/22 01:51:07 INFO Utils: Successfully started service 'SparkUI' on port 4040. 18/02/22 01:51:07 INFO SparkUI: Started SparkUI at http://192.168.3.129:4040 18/02/22 01:51:07 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077... 18/02/22 01:51:08 INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app-20180222015108-0000 18/02/22 01:51:08 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 46282. 18/02/22 01:51:08 INFO NettyBlockTransferService: Server created on 46282 18/02/22 01:51:08 INFO BlockManagerMaster: Trying to register BlockManager 18/02/22 01:51:08 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.3.129:46282 with 517.4 MB RAM, BlockManagerId(driver, 192.168.3.129, 46282) 18/02/22 01:51:08 INFO BlockManagerMaster: Registered BlockManager 18/02/22 01:51:08 INFO AppClient$ClientEndpoint: Executor added: app-20180222015108-0000/0 on worker-20180222174932-192.168.3.130-39616 (192.168.3.130:39616) with 1 cores 18/02/22 01:51:08 INFO SparkDeploySchedulerBackend: Granted executor ID app-20180222015108-0000/0 on hostPort 192.168.3.130:39616 with 1 cores, 512.0 MB RAM 18/02/22 01:51:08 INFO AppClient$ClientEndpoint: Executor added: app-20180222015108-0000/1 on worker-20180222174932-192.168.3.131-58163 (192.168.3.131:58163) with 1 cores 18/02/22 01:51:08 INFO SparkDeploySchedulerBackend: Granted executor ID app-20180222015108-0000/1 on hostPort 192.168.3.131:58163 with 1 cores, 512.0 MB RAM 18/02/22 01:51:09 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0 18/02/22 01:51:09 INFO SparkILoop: Created spark context.. Spark context available as sc. 18/02/22 01:51:10 INFO AppClient$ClientEndpoint: Executor updated: app-20180222015108-0000/1 is now RUNNING 18/02/22 01:51:10 INFO AppClient$ClientEndpoint: Executor updated: app-20180222015108-0000/0 is now RUNNING 18/02/22 01:51:16 INFO HiveContext: Initializing execution hive, version 1.2.1 18/02/22 01:51:17 INFO ClientWrapper: Inspected Hadoop version: 2.6.0 18/02/22 01:51:17 INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.6.0 18/02/22 01:51:21 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore 18/02/22 01:51:22 INFO ObjectStore: ObjectStore, initialize called 18/02/22 01:51:26 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored 18/02/22 01:51:26 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored 18/02/22 01:51:26 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies) 18/02/22 01:51:30 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies) 18/02/22 01:51:35 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order" 18/02/22 01:51:38 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:38 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:39 INFO SparkDeploySchedulerBackend: Registered executor NettyRpcEndpointRef(null) (slaver2:55056) with ID 1 18/02/22 01:51:39 INFO BlockManagerMasterEndpoint: Registering block manager slaver2:57607 with 146.2 MB RAM, BlockManagerId(1, slaver2, 57607) 18/02/22 01:51:39 INFO SparkDeploySchedulerBackend: Registered executor NettyRpcEndpointRef(null) (slaver1:47165) with ID 0 18/02/22 01:51:40 INFO BlockManagerMasterEndpoint: Registering block manager slaver1:38278 with 146.2 MB RAM, BlockManagerId(0, slaver1, 38278) 18/02/22 01:51:40 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:40 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:40 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY 18/02/22 01:51:40 INFO ObjectStore: Initialized ObjectStore 18/02/22 01:51:41 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0 18/02/22 01:51:42 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException Java HotSpot(TM) Client VM warning: You have loaded library /tmp/libnetty-transport-native-epoll870809507217922299.so which might have disabled stack guard. The VM will try to fix the stack guard now. It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'. 18/02/22 01:51:44 INFO HiveMetaStore: Added admin role in metastore 18/02/22 01:51:44 INFO HiveMetaStore: Added public role in metastore 18/02/22 01:51:44 INFO HiveMetaStore: No user is added in admin role, since config is empty 18/02/22 01:51:45 INFO HiveMetaStore: 0: get_all_databases 18/02/22 01:51:45 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_all_databases 18/02/22 01:51:45 INFO HiveMetaStore: 0: get_functions: db=default pat=* 18/02/22 01:51:45 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_functions: db=default pat=* 18/02/22 01:51:45 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:46 INFO SessionState: Created HDFS directory: /tmp/hive/root 18/02/22 01:51:46 INFO SessionState: Created local directory: /tmp/root 18/02/22 01:51:46 INFO SessionState: Created local directory: /tmp/afacd186-3b65-4cf9-a9b3-dad36055ed80_resources 18/02/22 01:51:46 INFO SessionState: Created HDFS directory: /tmp/hive/root/afacd186-3b65-4cf9-a9b3-dad36055ed80 18/02/22 01:51:46 INFO SessionState: Created local directory: /tmp/root/afacd186-3b65-4cf9-a9b3-dad36055ed80 18/02/22 01:51:46 INFO SessionState: Created HDFS directory: /tmp/hive/root/afacd186-3b65-4cf9-a9b3-dad36055ed80/_tmp_space.db 18/02/22 01:51:46 INFO HiveContext: default warehouse location is /user/hive/warehouse 18/02/22 01:51:46 INFO HiveContext: Initializing HiveMetastoreConnection version 1.2.1 using Spark classes. 18/02/22 01:51:46 INFO ClientWrapper: Inspected Hadoop version: 2.6.0 18/02/22 01:51:46 INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.6.0 18/02/22 01:51:47 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore 18/02/22 01:51:47 INFO ObjectStore: ObjectStore, initialize called 18/02/22 01:51:47 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored 18/02/22 01:51:47 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored 18/02/22 01:51:47 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies) 18/02/22 01:51:48 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies) 18/02/22 01:51:49 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order" 18/02/22 01:51:51 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:51 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:51 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:51 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:51 INFO Query: Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing 18/02/22 01:51:51 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY 18/02/22 01:51:51 INFO ObjectStore: Initialized ObjectStore 18/02/22 01:51:51 INFO HiveMetaStore: Added admin role in metastore 18/02/22 01:51:51 INFO HiveMetaStore: Added public role in metastore 18/02/22 01:51:51 INFO HiveMetaStore: No user is added in admin role, since config is empty 18/02/22 01:51:52 INFO HiveMetaStore: 0: get_all_databases 18/02/22 01:51:52 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_all_databases 18/02/22 01:51:52 INFO HiveMetaStore: 0: get_functions: db=default pat=* 18/02/22 01:51:52 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_functions: db=default pat=* 18/02/22 01:51:52 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table. 18/02/22 01:51:52 INFO SessionState: Created local directory: /tmp/e209230b-e230-4688-9b83-b04d182b952d_resources 18/02/22 01:51:52 INFO SessionState: Created HDFS directory: /tmp/hive/root/e209230b-e230-4688-9b83-b04d182b952d 18/02/22 01:51:52 INFO SessionState: Created local directory: /tmp/root/e209230b-e230-4688-9b83-b04d182b952d 18/02/22 01:51:52 INFO SessionState: Created HDFS directory: /tmp/hive/root/e209230b-e230-4688-9b83-b04d182b952d/_tmp_space.db 18/02/22 01:51:52 INFO SparkILoop: Created sql context (with Hive support).. SQL context available as sqlContext. scala>
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