Caused by: java.net.ConnectException: Connection refused:

By | 2019年1月31日

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:

  1 [root@master spark-1.6.1-bin-hadoop2.6]# bin/spark-shell --master spark://master:7077 --executor-memory 512M --total-executor-cores 2
  2 18/02/22 01:42:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  3 18/02/22 01:42:10 INFO SecurityManager: Changing view acls to: root
  4 18/02/22 01:42:10 INFO SecurityManager: Changing modify acls to: root
  5 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)
  6 18/02/22 01:42:11 INFO HttpServer: Starting HTTP Server
  7 18/02/22 01:42:11 INFO Utils: Successfully started service 'HTTP class server' on port 52961.
  8 Welcome to
  9       ____              __
 10      / __/__  ___ _____/ /__
 11     _\ \/ _ \/ _ `/ __/  '_/
 12    /___/ .__/\_,_/_/ /_/\_\   version 1.6.1
 13       /_/
 14 
 15 Using Scala version 2.10.5 (Java HotSpot(TM) Client VM, Java 1.7.0_65)
 16 Type in expressions to have them evaluated.
 17 Type :help for more information.
 18 18/02/22 01:42:15 INFO SparkContext: Running Spark version 1.6.1
 19 18/02/22 01:42:15 INFO SecurityManager: Changing view acls to: root
 20 18/02/22 01:42:15 INFO SecurityManager: Changing modify acls to: root
 21 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)
 22 18/02/22 01:42:15 INFO Utils: Successfully started service 'sparkDriver' on port 43566.
 23 18/02/22 01:42:16 INFO Slf4jLogger: Slf4jLogger started
 24 18/02/22 01:42:16 INFO Remoting: Starting remoting
 25 18/02/22 01:42:16 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.3.129:43806]
 26 18/02/22 01:42:16 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 43806.
 27 18/02/22 01:42:16 INFO SparkEnv: Registering MapOutputTracker
 28 18/02/22 01:42:16 INFO SparkEnv: Registering BlockManagerMaster
 29 18/02/22 01:42:16 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-7face114-24b5-4f0e-adb6-8a104e387c78
 30 18/02/22 01:42:16 INFO MemoryStore: MemoryStore started with capacity 517.4 MB
 31 18/02/22 01:42:16 INFO SparkEnv: Registering OutputCommitCoordinator
 32 18/02/22 01:42:16 INFO Utils: Successfully started service 'SparkUI' on port 4040.
 33 18/02/22 01:42:16 INFO SparkUI: Started SparkUI at http://192.168.3.129:4040
 34 18/02/22 01:42:17 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077...
 35 18/02/22 01:42:17 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077
 36 java.io.IOException: Failed to connect to master/192.168.3.129:7077
 37     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
 38     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
 39     at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
 40     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
 41     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
 42     at java.util.concurrent.FutureTask.run(FutureTask.java:262)
 43     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
 44     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
 45     at java.lang.Thread.run(Thread.java:745)
 46 Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077
 47     at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
 48     at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
 49     at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
 50     at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
 51     at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
 52     at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
 53     at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
 54     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
 55     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
 56     ... 1 more
 57 18/02/22 01:42:37 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077...
 58 18/02/22 01:42:37 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077
 59 java.io.IOException: Failed to connect to master/192.168.3.129:7077
 60     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
 61     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
 62     at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
 63     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
 64     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
 65     at java.util.concurrent.FutureTask.run(FutureTask.java:262)
 66     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
 67     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
 68     at java.lang.Thread.run(Thread.java:745)
 69 Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077
 70     at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
 71     at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
 72     at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
 73     at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
 74     at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
 75     at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
 76     at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
 77     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
 78     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
 79     ... 1 more
 80 18/02/22 01:42:57 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077...
 81 18/02/22 01:42:57 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077
 82 java.io.IOException: Failed to connect to master/192.168.3.129:7077
 83     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
 84     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
 85     at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
 86     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
 87     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
 88     at java.util.concurrent.FutureTask.run(FutureTask.java:262)
 89     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
 90     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
 91     at java.lang.Thread.run(Thread.java:745)
 92 Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077
 93     at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
 94     at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
 95     at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
 96     at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
 97     at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
 98     at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
 99     at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
100     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
101     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
102     ... 1 more
103 18/02/22 01:42:57 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077...
104 18/02/22 01:42:57 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077
105 java.io.IOException: Failed to connect to master/192.168.3.129:7077
106     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
107     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
108     at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
109     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
110     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
111     at java.util.concurrent.FutureTask.run(FutureTask.java:262)
112     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
113     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
114     at java.lang.Thread.run(Thread.java:745)
115 Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077
116     at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
117     at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
118     at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
119     at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
120     at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
121     at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
122     at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
123     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
124     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
125     ... 1 more
126 18/02/22 01:43:17 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077...
127 18/02/22 01:43:17 ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up.
128 18/02/22 01:43:17 INFO AppClient$ClientEndpoint: Connecting to master spark://master:7077...
129 18/02/22 01:43:17 WARN SparkDeploySchedulerBackend: Application ID is not initialized yet.
130 18/02/22 01:43:17 WARN AppClient$ClientEndpoint: Failed to connect to master master:7077
131 java.io.IOException: Failed to connect to master/192.168.3.129:7077
132     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
133     at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
134     at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
135     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
136     at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
137     at java.util.concurrent.FutureTask.run(FutureTask.java:262)
138     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
139     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
140     at java.lang.Thread.run(Thread.java:745)
141 Caused by: java.net.ConnectException: Connection refused: master/192.168.3.129:7077
142     at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
143     at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
144     at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
145     at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
146     at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
147     at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
148     at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
149     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
150     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
151     ... 1 more
152 18/02/22 01:43:17 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 50513.
153 18/02/22 01:43:17 INFO NettyBlockTransferService: Server created on 50513
154 18/02/22 01:43:17 INFO BlockManagerMaster: Trying to register BlockManager
155 18/02/22 01:43:17 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.3.129:50513 with 517.4 MB RAM, BlockManagerId(driver, 192.168.3.129, 50513)
156 18/02/22 01:43:17 INFO BlockManagerMaster: Registered BlockManager
157 18/02/22 01:43:17 INFO SparkUI: Stopped Spark web UI at http://192.168.3.129:4040
158 18/02/22 01:43:17 INFO SparkDeploySchedulerBackend: Shutting down all executors
159 18/02/22 01:43:17 INFO SparkDeploySchedulerBackend: Asking each executor to shut down
160 18/02/22 01:43:17 WARN AppClient$ClientEndpoint: Drop UnregisterApplication(null) because has not yet connected to master
161 18/02/22 01:43:17 ERROR MapOutputTrackerMaster: Error communicating with MapOutputTracker
162 java.lang.InterruptedException
163     at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedNanos(AbstractQueuedSynchronizer.java:1038)
164     at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326)
165     at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
166     at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
167     at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
168     at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
169     at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
170     at scala.concurrent.Await$.result(package.scala:107)
171     at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
172     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
173     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
174     at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:110)
175     at org.apache.spark.MapOutputTracker.sendTracker(MapOutputTracker.scala:120)
176     at org.apache.spark.MapOutputTrackerMaster.stop(MapOutputTracker.scala:462)
177     at org.apache.spark.SparkEnv.stop(SparkEnv.scala:93)
178     at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1756)
179     at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1229)
180     at org.apache.spark.SparkContext.stop(SparkContext.scala:1755)
181     at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:127)
182     at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264)
183     at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134)
184     at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163)
185     at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129)
186     at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
187     at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)
188     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
189     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
190     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
191     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
192     at java.lang.Thread.run(Thread.java:745)
193 18/02/22 01:43:17 ERROR Utils: Uncaught exception in thread appclient-registration-retry-thread
194 org.apache.spark.SparkException: Error communicating with MapOutputTracker
195     at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:114)
196     at org.apache.spark.MapOutputTracker.sendTracker(MapOutputTracker.scala:120)
197     at org.apache.spark.MapOutputTrackerMaster.stop(MapOutputTracker.scala:462)
198     at org.apache.spark.SparkEnv.stop(SparkEnv.scala:93)
199     at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1756)
200     at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1229)
201     at org.apache.spark.SparkContext.stop(SparkContext.scala:1755)
202     at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:127)
203     at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264)
204     at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134)
205     at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163)
206     at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129)
207     at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
208     at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)
209     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
210     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
211     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
212     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
213     at java.lang.Thread.run(Thread.java:745)
214 Caused by: java.lang.InterruptedException
215     at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedNanos(AbstractQueuedSynchronizer.java:1038)
216     at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326)
217     at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
218     at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
219     at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
220     at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
221     at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
222     at scala.concurrent.Await$.result(package.scala:107)
223     at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
224     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
225     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
226     at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:110)
227     ... 18 more
228 18/02/22 01:43:17 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
229 18/02/22 01:43:17 INFO SparkContext: Successfully stopped SparkContext
230 18/02/22 01:43:17 ERROR SparkUncaughtExceptionHandler: Uncaught exception in thread Thread[appclient-registration-retry-thread,5,main]
231 org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
232     at org.apache.spark.scheduler.TaskSchedulerImpl.error(TaskSchedulerImpl.scala:438)
233     at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:124)
234     at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264)
235     at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134)
236     at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163)
237     at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129)
238     at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
239     at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)
240     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
241     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
242     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
243     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
244     at java.lang.Thread.run(Thread.java:745)
245 18/02/22 01:43:17 INFO DiskBlockManager: Shutdown hook called
246 18/02/22 01:43:17 INFO ShutdownHookManager: Shutdown hook called
247 18/02/22 01:43:17 INFO ShutdownHookManager: Deleting directory /tmp/spark-bf09944d-9867-4256-89c6-e8b415c9c315/userFiles-12e582c1-0438-490f-a8a2-64264d764463
248 18/02/22 01:43:17 INFO ShutdownHookManager: Deleting directory /tmp/spark-7c648867-90b8-4d3c-af09-b1f3d16d1b30
249 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> 

 

发表评论