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Yarn Clinet模式运行spark报错问题

2017-11-19 539

应用场景

安装部署完完全分布式的spark后，发现yarn-cluster模式可以运行不报错，但是yarn-client报错，无法进行计算PI的值，导致spark并不能使用，报错信息如下所示，只需要修改yarn的配置即可！

操作方案

 # ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client lib/spark-examples-1.6.1-hadoop2.6.0.jar

1. 报错信息：

[root@hadoop0 spark1.6.1]# ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client lib/spark-examples-1.6.1-hadoop2.6.0.jar 
17/11/16 16:04:59 INFO spark.SparkContext: Running Spark version 1.6.1
17/11/16 16:05:00 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/11/16 16:05:00 INFO spark.SecurityManager: Changing view acls to: root
17/11/16 16:05:00 INFO spark.SecurityManager: Changing modify acls to: root
17/11/16 16:05:00 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
17/11/16 16:05:00 INFO util.Utils: Successfully started service 'sparkDriver' on port 56204.
17/11/16 16:05:00 INFO slf4j.Slf4jLogger: Slf4jLogger started
17/11/16 16:05:01 INFO Remoting: Starting remoting
17/11/16 16:05:01 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.210.70:56916]
17/11/16 16:05:01 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 56916.
17/11/16 16:05:01 INFO spark.SparkEnv: Registering MapOutputTracker
17/11/16 16:05:01 INFO spark.SparkEnv: Registering BlockManagerMaster
17/11/16 16:05:01 INFO storage.DiskBlockManager: Created local directory at /tmp/blockmgr-9e904d0f-0d09-4c9a-b523-86dc52613223
17/11/16 16:05:01 INFO storage.MemoryStore: MemoryStore started with capacity 511.1 MB
17/11/16 16:05:01 INFO spark.SparkEnv: Registering OutputCommitCoordinator
17/11/16 16:05:01 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/11/16 16:05:01 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
17/11/16 16:05:01 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
17/11/16 16:05:01 INFO ui.SparkUI: Started SparkUI at http://192.168.210.70:4040
17/11/16 16:05:01 INFO spark.HttpFileServer: HTTP File server directory is /tmp/spark-a3aae429-abe4-4bcb-b73e-8fe359aa92d9/httpd-742c21cf-89df-4af2-8b81-431523fe7bfd
17/11/16 16:05:01 INFO spark.HttpServer: Starting HTTP Server
17/11/16 16:05:01 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/11/16 16:05:01 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0:37440
17/11/16 16:05:01 INFO util.Utils: Successfully started service 'HTTP file server' on port 37440.
17/11/16 16:05:01 INFO spark.SparkContext: Added JAR file:/opt/spark1.6.1/lib/spark-examples-1.6.1-hadoop2.6.0.jar at http://192.168.210.70:37440/jars/spark-examples-1.6.1-hadoop2.6.0.jar with timestamp 1510819501618
17/11/16 16:05:01 INFO client.RMProxy: Connecting to ResourceManager at hadoop0/192.168.210.70:8032
17/11/16 16:05:01 INFO yarn.Client: Requesting a new application from cluster with 3 NodeManagers
17/11/16 16:05:01 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (12288 MB per container)
17/11/16 16:05:01 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
17/11/16 16:05:01 INFO yarn.Client: Setting up container launch context for our AM
17/11/16 16:05:01 INFO yarn.Client: Setting up the launch environment for our AM container
17/11/16 16:05:01 INFO yarn.Client: Preparing resources for our AM container
17/11/16 16:05:02 INFO yarn.Client: Uploading resource file:/opt/spark1.6.1/lib/spark-assembly-1.6.1-hadoop2.6.0.jar -> hdfs://hadoop0:9000/user/root/.sparkStaging/application_1510653707211_0005/spark-assembly-1.6.1-hadoop2.6.0.jar
17/11/16 16:05:04 INFO yarn.Client: Uploading resource file:/tmp/spark-a3aae429-abe4-4bcb-b73e-8fe359aa92d9/__spark_conf__7623958375810260855.zip -> hdfs://hadoop0:9000/user/root/.sparkStaging/application_1510653707211_0005/__spark_conf__7623958375810260855.zip
17/11/16 16:05:04 INFO spark.SecurityManager: Changing view acls to: root
17/11/16 16:05:04 INFO spark.SecurityManager: Changing modify acls to: root
17/11/16 16:05:04 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
17/11/16 16:05:04 INFO yarn.Client: Submitting application 5 to ResourceManager
17/11/16 16:05:04 INFO impl.YarnClientImpl: Submitted application application_1510653707211_0005
17/11/16 16:05:06 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:06 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1510819504598
     final status: UNDEFINED
     tracking URL: http://hadoop0:8088/proxy/application_1510653707211_0005/
     user: root
17/11/16 16:05:07 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:08 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:09 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:10 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:11 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:12 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:13 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:14 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:15 ERROR server.TransportRequestHandler: Error sending result RpcResponse{requestId=89567902
java.nio.channels.ClosedChannelException
17/11/16 16:05:15 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:16 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:17 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:18 INFO yarn.Client: Application report for application_1510653707211_0005 (state: ACCEPTED)
17/11/16 16:05:18 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as 
17/11/16 16:05:18 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.07211_0005
17/11/16 16:05:18 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFi
17/11/16 16:05:19 INFO yarn.Client: Application report for application_1510653707211_0005 (state: RUNNING)
17/11/16 16:05:19 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.210.71
     ApplicationMaster RPC port: 0
     queue: default
     start time: 1510819504598
     final status: UNDEFINED
     tracking URL: http://hadoop0:8088/proxy/application_1510653707211_0005/
     user: root
17/11/16 16:05:19 INFO cluster.YarnClientSchedulerBackend: Application application_1510653707211_0005 has s
17/11/16 16:05:19 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockT
17/11/16 16:05:19 INFO netty.NettyBlockTransferService: Server created on 60932
17/11/16 16:05:19 INFO storage.BlockManagerMaster: Trying to register BlockManager
17/11/16 16:05:19 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.210.70:60932 w
17/11/16 16:05:19 INFO storage.BlockManagerMaster: Registered BlockManager
17/11/16 16:05:22 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (h
17/11/16 16:05:22 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop1:35613 with 2.7
17/11/16 16:05:22 ERROR cluster.YarnClientSchedulerBackend: Yarn application has already exited with state 
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/metrics/json,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,nul
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/api,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/static,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump/
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump,
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/json,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment/json,null
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/json,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/json,nul
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/json,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
17/11/16 16:05:22 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs,null}
17/11/16 16:05:22 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (h
17/11/16 16:05:22 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.210.70:4040
17/11/16 16:05:22 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors
17/11/16 16:05:22 INFO cluster.YarnClientSchedulerBackend: Asking each executor to shut down
17/11/16 16:05:22 INFO cluster.YarnClientSchedulerBackend: Stopped
17/11/16 16:05:22 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/11/16 16:05:22 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop2:51640 with 2.7
17/11/16 16:05:22 INFO storage.MemoryStore: MemoryStore cleared
17/11/16 16:05:22 INFO storage.BlockManager: BlockManager stopped
17/11/16 16:05:22 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event Spa
17/11/16 16:05:22 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
17/11/16 16:05:22 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoord
17/11/16 16:05:22 INFO spark.SparkContext: Successfully stopped SparkContext
17/11/16 16:05:22 INFO remote.RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
17/11/16 16:05:22 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceedin
17/11/16 16:05:22 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginni
17/11/16 16:05:22 ERROR spark.SparkContext: Error initializing SparkContext.
java.lang.NullPointerException
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:584)
    at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:29)
    at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.sc
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/11/16 16:05:22 INFO spark.SparkContext: SparkContext already stopped.
Exception in thread "main" java.lang.NullPointerException
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:584)
    at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:29)
    at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.sc
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/11/16 16:05:22 INFO util.ShutdownHookManager: Shutdown hook called
17/11/16 16:05:22 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-a3aae429-abe4-4bcb-b73e-8fe3
17/11/16 16:05:22 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remoting shut down.
17/11/16 16:05:22 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-a3aae429-abe4-4bcb-b73e-8fe

2. 修改yarn-site.xml配置添加最后两个配置：

 # vim /opt/hadoop2.6.0/etc/hadoop/yarn-site.xml 

<property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hadoop0</value>
   <property>
        <description>The http address of the RM web application.</description>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>${yarn.resourcemanager.hostname}:8088</value>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>${yarn.resourcemanager.hostname}:8031</value>
   </property>
   <property>
        <description>The address of the RM admin interface.</description>
        <name>yarn.resourcemanager.admin.address</name>
        <value>${yarn.resourcemanager.hostname}:8033</value>
   </property>
   <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
   </property>
   <property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>8182</value>
        <discription>每个节点可用内存,单位MB,默认8182MB</discription>
   </property>
   <property>
            <name>yarn.nodemanager.pmem-check-enabled</name>
            <value>false</value>
    </property>
    <property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
            <value>false</value>
    </property>

 # 添加最后两个false的属性即可！

3. 运行成功后的展示：

[root@hadoop0 spark1.6.1]# ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client lib/spark-examples-1.6.1-hadoop2.6.0.jar 
17/11/20 11:23:30 INFO spark.SparkContext: Running Spark version 1.6.1
17/11/20 11:23:30 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/11/20 11:23:30 INFO spark.SecurityManager: Changing view acls to: root
17/11/20 11:23:30 INFO spark.SecurityManager: Changing modify acls to: root
17/11/20 11:23:30 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
17/11/20 11:23:30 INFO util.Utils: Successfully started service 'sparkDriver' on port 50890.
17/11/20 11:23:31 INFO slf4j.Slf4jLogger: Slf4jLogger started
17/11/20 11:23:31 INFO Remoting: Starting remoting
17/11/20 11:23:31 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.210.70:43819]
17/11/20 11:23:31 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 43819.
17/11/20 11:23:31 INFO spark.SparkEnv: Registering MapOutputTracker
17/11/20 11:23:31 INFO spark.SparkEnv: Registering BlockManagerMaster
17/11/20 11:23:31 INFO storage.DiskBlockManager: Created local directory at /tmp/blockmgr-c0631ca3-48c6-45ed-b1bd-c785e7ed4e52
17/11/20 11:23:31 INFO storage.MemoryStore: MemoryStore started with capacity 511.1 MB
17/11/20 11:23:31 INFO spark.SparkEnv: Registering OutputCommitCoordinator
17/11/20 11:23:31 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/11/20 11:23:31 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
17/11/20 11:23:31 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
17/11/20 11:23:31 INFO ui.SparkUI: Started SparkUI at http://192.168.210.70:4040
17/11/20 11:23:31 INFO spark.HttpFileServer: HTTP File server directory is /tmp/spark-603bd57a-5f73-41dc-84d0-e732cbd37788/httpd-8b6ce293-389a-4564-bedb-8560a3a924d5
17/11/20 11:23:31 INFO spark.HttpServer: Starting HTTP Server
17/11/20 11:23:31 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/11/20 11:23:31 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0:44183
17/11/20 11:23:31 INFO util.Utils: Successfully started service 'HTTP file server' on port 44183.
17/11/20 11:23:31 INFO spark.SparkContext: Added JAR file:/opt/spark1.6.1/lib/spark-examples-1.6.1-hadoop2.6.0.jar at http://192.168.210.70:44183/jars/spark-examples-1.6.1-hadoop2.6.0.jar with timestamp 1511148211815
17/11/20 11:23:31 INFO client.RMProxy: Connecting to ResourceManager at hadoop0/192.168.210.70:8032
17/11/20 11:23:32 INFO yarn.Client: Requesting a new application from cluster with 3 NodeManagers
17/11/20 11:23:32 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
17/11/20 11:23:32 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
17/11/20 11:23:32 INFO yarn.Client: Setting up container launch context for our AM
17/11/20 11:23:32 INFO yarn.Client: Setting up the launch environment for our AM container
17/11/20 11:23:32 INFO yarn.Client: Preparing resources for our AM container
17/11/20 11:23:32 INFO yarn.Client: Uploading resource file:/opt/spark1.6.1/lib/spark-assembly-1.6.1-hadoop2.6.0.jar -> hdfs://hadoop0:9000/user/root/.sparkStaging/application_1511146953298_0003/spark-assembly-1.6.1-hadoop2.6.0.jar
17/11/20 11:23:33 INFO yarn.Client: Uploading resource file:/tmp/spark-603bd57a-5f73-41dc-84d0-e732cbd37788/__spark_conf__5627219911217194032.zip -> hdfs://hadoop0:9000/user/root/.sparkStaging/application_1511146953298_0003/__spark_conf__5627219911217194032.zip
17/11/20 11:23:33 INFO spark.SecurityManager: Changing view acls to: root
17/11/20 11:23:33 INFO spark.SecurityManager: Changing modify acls to: root
17/11/20 11:23:33 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
17/11/20 11:23:33 INFO yarn.Client: Submitting application 3 to ResourceManager
17/11/20 11:23:33 INFO impl.YarnClientImpl: Submitted application application_1511146953298_0003
17/11/20 11:23:34 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:34 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1511148213962
     final status: UNDEFINED
     tracking URL: http://hadoop0:8088/proxy/application_1511146953298_0003/
     user: root
17/11/20 11:23:36 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:37 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:38 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:39 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:41 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:42 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:43 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:47 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:56 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:57 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:58 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:23:59 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:24:12 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:24:13 INFO yarn.Client: Application report for application_1511146953298_0003 (state: ACCEPTED)
17/11/20 11:24:14 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
17/11/20 11:24:14 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> hadoop0, PROXY_URI_BASES -> http://hadoop0:8088/proxy/application_1511146953298_0003), /proxy/application_1511146953298_0003
17/11/20 11:24:14 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
17/11/20 11:24:14 INFO yarn.Client: Application report for application_1511146953298_0003 (state: RUNNING)
17/11/20 11:24:14 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.210.70
     ApplicationMaster RPC port: 0
     queue: default
     start time: 1511148213962
     final status: UNDEFINED
     tracking URL: http://hadoop0:8088/proxy/application_1511146953298_0003/
     user: root
17/11/20 11:24:14 INFO cluster.YarnClientSchedulerBackend: Application application_1511146953298_0003 has started running.
17/11/20 11:24:14 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 33528.
17/11/20 11:24:14 INFO netty.NettyBlockTransferService: Server created on 33528
17/11/20 11:24:14 INFO storage.BlockManagerMaster: Trying to register BlockManager
17/11/20 11:24:14 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.210.70:33528 with 511.1 MB RAM, BlockManagerId(driver, 192.168.210.70, 33528)
17/11/20 11:24:14 INFO storage.BlockManagerMaster: Registered BlockManager
17/11/20 11:24:15 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after waiting maxRegisteredResourcesWaitingTime: 30000(ms)
17/11/20 11:24:15 INFO spark.SparkContext: Starting job: reduce at SparkPi.scala:36
17/11/20 11:24:15 INFO scheduler.DAGScheduler: Got job 0 (reduce at SparkPi.scala:36) with 2 output partitions
17/11/20 11:24:15 INFO scheduler.DAGScheduler: Final stage: ResultStage 0 (reduce at SparkPi.scala:36)
17/11/20 11:24:15 INFO scheduler.DAGScheduler: Parents of final stage: List()
17/11/20 11:24:15 INFO scheduler.DAGScheduler: Missing parents: List()
17/11/20 11:24:15 INFO scheduler.DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:32), which has no missing parents
17/11/20 11:24:15 INFO storage.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1904.0 B, free 1904.0 B)
17/11/20 11:24:15 INFO storage.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 1218.0 B, free 3.0 KB)
17/11/20 11:24:15 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.210.70:33528 (size: 1218.0 B, free: 511.1 MB)
17/11/20 11:24:15 INFO spark.SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
17/11/20 11:24:15 INFO scheduler.DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:32)
17/11/20 11:24:15 INFO cluster.YarnScheduler: Adding task set 0.0 with 2 tasks
17/11/20 11:24:26 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (hadoop1:41774) with ID 2
17/11/20 11:24:26 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, hadoop1, partition 0,PROCESS_LOCAL, 2157 bytes)
17/11/20 11:24:26 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop1:40640 with 1247.3 MB RAM, BlockManagerId(2, hadoop1, 40640)
17/11/20 11:24:40 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on hadoop1:40640 (size: 1218.0 B, free: 1247.2 MB)
17/11/20 11:24:40 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, hadoop1, partition 1,PROCESS_LOCAL, 2157 bytes)
17/11/20 11:24:40 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 14708 ms on hadoop1 (1/2)
17/11/20 11:24:40 INFO scheduler.TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 34 ms on hadoop1 (2/2)
17/11/20 11:24:40 INFO scheduler.DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:36) finished in 24.994 s
17/11/20 11:24:40 INFO cluster.YarnScheduler: Removed TaskSet 0.0, whose tasks have all completed, from pool 
17/11/20 11:24:40 INFO scheduler.DAGScheduler: Job 0 finished: reduce at SparkPi.scala:36, took 25.166251 s
Pi is roughly 3.14648
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/metrics/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/api,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/static,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
17/11/20 11:24:40 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs,null}
17/11/20 11:24:40 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.210.70:4040
17/11/20 11:24:40 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors
17/11/20 11:24:40 INFO cluster.YarnClientSchedulerBackend: Interrupting monitor thread
17/11/20 11:24:40 INFO cluster.YarnClientSchedulerBackend: Asking each executor to shut down
17/11/20 11:24:41 INFO cluster.YarnClientSchedulerBackend: Stopped
17/11/20 11:24:41 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/11/20 11:24:41 INFO storage.MemoryStore: MemoryStore cleared
17/11/20 11:24:41 INFO storage.BlockManager: BlockManager stopped
17/11/20 11:24:41 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
17/11/20 11:24:41 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/11/20 11:24:41 INFO spark.SparkContext: Successfully stopped SparkContext
17/11/20 11:24:41 INFO util.ShutdownHookManager: Shutdown hook called
17/11/20 11:24:41 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-603bd57a-5f73-41dc-84d0-e732cbd37788
17/11/20 11:24:41 INFO remote.RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
17/11/20 11:24:41 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
17/11/20 11:24:41 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-603bd57a-5f73-41dc-84d0-e732cbd37788/httpd-8b6ce293-389a-4564-bedb-8560a3a924d5

4. 以下关于RPC的错误也可以通过上述方案，解决：

17/11/20 10:43:02 INFO spark.SparkContext: Running Spark version 1.6.1
17/11/20 10:43:02 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/11/20 10:43:02 INFO spark.SecurityManager: Changing view acls to: root
17/11/20 10:43:02 INFO spark.SecurityManager: Changing modify acls to: root
17/11/20 10:43:02 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
17/11/20 10:43:03 INFO util.Utils: Successfully started service 'sparkDriver' on port 43103.
17/11/20 10:43:03 INFO slf4j.Slf4jLogger: Slf4jLogger started
17/11/20 10:43:03 INFO Remoting: Starting remoting
17/11/20 10:43:03 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.210.70:54479]
17/11/20 10:43:03 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 54479.
17/11/20 10:43:03 INFO spark.SparkEnv: Registering MapOutputTracker
17/11/20 10:43:03 INFO spark.SparkEnv: Registering BlockManagerMaster
17/11/20 10:43:03 INFO storage.DiskBlockManager: Created local directory at /tmp/blockmgr-115d1d9d-efd2-4b77-a275-071bb880d596
17/11/20 10:43:03 INFO storage.MemoryStore: MemoryStore started with capacity 511.1 MB
17/11/20 10:43:03 INFO spark.SparkEnv: Registering OutputCommitCoordinator
17/11/20 10:43:04 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/11/20 10:43:04 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
17/11/20 10:43:04 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
17/11/20 10:43:04 INFO ui.SparkUI: Started SparkUI at http://192.168.210.70:4040
17/11/20 10:43:04 INFO spark.HttpFileServer: HTTP File server directory is /tmp/spark-1a7d680b-c815-4c0d-b706-9751f5f1b57a/httpd-e8d7be01-495d-403b-a7a4-1332d9ae2411
17/11/20 10:43:04 INFO spark.HttpServer: Starting HTTP Server
17/11/20 10:43:04 INFO server.Server: jetty-8.y.z-SNAPSHOT
17/11/20 10:43:04 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0:36186
17/11/20 10:43:04 INFO util.Utils: Successfully started service 'HTTP file server' on port 36186.
17/11/20 10:43:05 INFO spark.SparkContext: Added JAR file:/opt/spark1.6.1/lib/spark-examples-1.6.1-hadoop2.6.0.jar at http://192.168.210.70:36186/jars/spark-examples-1.6.1-hadoop2.6.0.jar with timestamp 1511145785204
17/11/20 10:43:05 INFO client.RMProxy: Connecting to ResourceManager at hadoop0/192.168.210.70:8032
17/11/20 10:43:05 INFO yarn.Client: Requesting a new application from cluster with 3 NodeManagers
17/11/20 10:43:05 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (12288 MB per container)
17/11/20 10:43:05 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
17/11/20 10:43:05 INFO yarn.Client: Setting up container launch context for our AM
17/11/20 10:43:05 INFO yarn.Client: Setting up the launch environment for our AM container
17/11/20 10:43:05 INFO yarn.Client: Preparing resources for our AM container
17/11/20 10:43:06 INFO yarn.Client: Uploading resource file:/opt/spark1.6.1/lib/spark-assembly-1.6.1-hadoop2.6.0.jar -> hdfs://hadoop0:9000/user/root/.sparkStaging/application_1510653707211_0009/spark-assembly-1.6.1-hadoop2.6.0.jar
17/11/20 10:43:07 INFO yarn.Client: Uploading resource file:/tmp/spark-1a7d680b-c815-4c0d-b706-9751f5f1b57a/__spark_conf__910020831153605384.zip -> hdfs://hadoop0:9000/user/root/.sparkStaging/application_1510653707211_0009/__spark_conf__910020831153605384.zip
17/11/20 10:43:07 INFO spark.SecurityManager: Changing view acls to: root
17/11/20 10:43:07 INFO spark.SecurityManager: Changing modify acls to: root
17/11/20 10:43:07 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
17/11/20 10:43:07 INFO yarn.Client: Submitting application 9 to ResourceManager
17/11/20 10:43:08 INFO impl.YarnClientImpl: Submitted application application_1510653707211_0009
17/11/20 10:43:10 INFO yarn.Client: Application report for application_1510653707211_0009 (state: ACCEPTED)
17/11/20 10:43:10 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1511145788138
     final status: UNDEFINED
     tracking URL: http://hadoop0:8088/proxy/application_1510653707211_0009/
     user: root
17/11/20 10:43:13 INFO yarn.Client: Application report for application_1510653707211_0009 (state: ACCEPTED)
17/11/20 10:43:15 INFO yarn.Client: Application report for application_1510653707211_0009 (state: ACCEPTED)
17/11/20 10:43:16 INFO yarn.Client: Application report for application_1510653707211_0009 (state: ACCEPTED)
17/11/20 10:43:17 INFO yarn.Client: Application report for application_1510653707211_0009 (state: ACCEPTED)
17/11/20 10:43:18 INFO yarn.Client: Application report for application_1510653707211_0009 (state: ACCEPTED)
17/11/20 10:43:18 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
17/11/20 10:43:18 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> hadoop0, PROXY_URI_BASES -> http://hadoop0:8088/proxy/application_1510653707211_0009), /proxy/application_1510653707211_0009
17/11/20 10:43:18 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
17/11/20 10:43:19 INFO yarn.Client: Application report for application_1510653707211_0009 (state: RUNNING)
17/11/20 10:43:19 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.210.70
     ApplicationMaster RPC port: 0
     queue: default
     start time: 1511145788138
     final status: UNDEFINED
     tracking URL: http://hadoop0:8088/proxy/application_1510653707211_0009/
     user: root
17/11/20 10:43:19 INFO cluster.YarnClientSchedulerBackend: Application application_1510653707211_0009 has started running.
17/11/20 10:43:19 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 44148.
17/11/20 10:43:19 INFO netty.NettyBlockTransferService: Server created on 44148
17/11/20 10:43:19 INFO storage.BlockManagerMaster: Trying to register BlockManager
17/11/20 10:43:19 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.210.70:44148 with 511.1 MB RAM, BlockManagerId(driver, 192.168.210.70, 44148)
17/11/20 10:43:19 INFO storage.BlockManagerMaster: Registered BlockManager
17/11/20 10:43:22 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (hadoop1:45801) with ID 2
17/11/20 10:43:22 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (hadoop2:32964) with ID 1
17/11/20 10:43:22 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop1:52352 with 2.7 GB RAM, BlockManagerId(2, hadoop1, 52352)
17/11/20 10:43:22 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop2:45228 with 2.7 GB RAM, BlockManagerId(1, hadoop2, 45228)
17/11/20 10:43:22 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.8
17/11/20 10:43:23 INFO spark.SparkContext: Starting job: reduce at SparkPi.scala:36
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Got job 0 (reduce at SparkPi.scala:36) with 2 output partitions
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Final stage: ResultStage 0 (reduce at SparkPi.scala:36)
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Parents of final stage: List()
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Missing parents: List()
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:32), which has no missing parents
17/11/20 10:43:23 INFO storage.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1904.0 B, free 1904.0 B)
17/11/20 10:43:23 INFO storage.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 1218.0 B, free 3.0 KB)
17/11/20 10:43:23 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.210.70:44148 (size: 1218.0 B, free: 511.1 MB)
17/11/20 10:43:23 INFO spark.SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:32)
17/11/20 10:43:23 INFO cluster.YarnScheduler: Adding task set 0.0 with 2 tasks
17/11/20 10:43:23 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, hadoop2, partition 0,PROCESS_LOCAL, 2157 bytes)
17/11/20 10:43:23 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, hadoop1, partition 1,PROCESS_LOCAL, 2157 bytes)
17/11/20 10:43:23 INFO cluster.YarnClientSchedulerBackend: Disabling executor 1.
17/11/20 10:43:23 INFO scheduler.DAGScheduler: Executor lost: 1 (epoch 0)
17/11/20 10:43:23 INFO storage.BlockManagerMasterEndpoint: Trying to remove executor 1 from BlockManagerMaster.
17/11/20 10:43:23 ERROR client.TransportClient: Failed to send RPC 6494801080030835916 to hadoop0/192.168.210.70:55463: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
17/11/20 10:43:23 INFO storage.BlockManagerMasterEndpoint: Removing block manager BlockManagerId(1, hadoop2, 45228)
17/11/20 10:43:23 INFO storage.BlockManagerMaster: Removed 1 successfully in removeExecutor
17/11/20 10:43:23 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to get executor loss reason for executor id 1 at RPC address hadoop2:32964, but got no response. Marking as slave lost.
java.io.IOException: Failed to send RPC 6494801080030835916 to hadoop0/192.168.210.70:55463: java.nio.channels.ClosedChannelException
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:239)
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:226)
    at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
    at io.netty.util.concurrent.DefaultPromise$LateListeners.run(DefaultPromise.java:845)
    at io.netty.util.concurrent.DefaultPromise$LateListenerNotifier.run(DefaultPromise.java:873)
    at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
    at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.nio.channels.ClosedChannelException
17/11/20 10:43:23 ERROR cluster.YarnScheduler: Lost executor 1 on hadoop2: Slave lost
17/11/20 10:43:23 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop2): ExecutorLostFailure (executor 1 exited caused by one of the running tasks) Reason: Slave lost
17/11/20 10:43:24 INFO cluster.YarnClientSchedulerBackend: Disabling executor 2.
17/11/20 10:43:24 INFO scheduler.DAGScheduler: Executor lost: 2 (epoch 1)
17/11/20 10:43:24 INFO storage.BlockManagerMasterEndpoint: Trying to remove executor 2 from BlockManagerMaster.
17/11/20 10:43:24 INFO storage.BlockManagerMasterEndpoint: Removing block manager BlockManagerId(2, hadoop1, 52352)
17/11/20 10:43:24 INFO storage.BlockManagerMaster: Removed 2 successfully in removeExecutor
17/11/20 10:43:24 ERROR client.TransportClient: Failed to send RPC 6980255577157578925 to hadoop0/192.168.210.70:55463: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
17/11/20 10:43:24 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to get executor loss reason for executor id 2 at RPC address hadoop1:45801, but got no response. Marking as slave lost.
java.io.IOException: Failed to send RPC 6980255577157578925 to hadoop0/192.168.210.70:55463: java.nio.channels.ClosedChannelException
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:239)
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:226)
    at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
    at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:567)
    at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:424)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:801)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:699)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1122)
    at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:633)
    at io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:32)
    at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:908)
    at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:960)
    at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:893)
    at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
    at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.nio.channels.ClosedChannelException
17/11/20 10:43:24 ERROR cluster.YarnScheduler: Lost executor 2 on hadoop1: Slave lost
17/11/20 10:43:24 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, hadoop1): ExecutorLostFailure (executor 2 exited caused by one of the running tasks) Reason: Slave lost
17/11/20 10:43:25 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
17/11/20 10:43:25 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> hadoop0, PROXY_URI_BASES -> http://hadoop0:8088/proxy/application_1510653707211_0009), /proxy/application_1510653707211_0009
17/11/20 10:43:25 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
17/11/20 10:43:29 ERROR cluster.YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/metrics/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/api,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/static,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
17/11/20 10:43:29 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs,null}
17/11/20 10:43:29 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.210.70:4040
17/11/20 10:43:29 INFO scheduler.DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:36) failed in 5.680 s
17/11/20 10:43:29 INFO scheduler.DAGScheduler: Job 0 failed: reduce at SparkPi.scala:36, took 5.884625 s
17/11/20 10:43:29 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerStageCompleted(org.apache.spark.scheduler.StageInfo@29bb1d25)
Exception in thread "main" org.apache.spark.SparkException: Job 0 cancelled because SparkContext was shut down
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:806)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:804)
    at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
    at org.apache.spark.scheduler.DAGScheduler.cleanUpAfterSchedulerStop(DAGScheduler.scala:804)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onStop(DAGScheduler.scala:1658)
    at org.apache.spark.util.EventLoop.stop(EventLoop.scala:84)
    at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1581)
    at org.apache.spark.SparkContext$$anonfun$stop$9.apply$mcV$sp(SparkContext.scala:1740)
	at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1229)
	at org.apache.spark.SparkContext.stop(SparkContext.scala:1739)
	at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:147)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1952)
	at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:1025)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
    at org.apache.spark.rdd.RDD.reduce(RDD.scala:1007)
    at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:36)
    at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/11/20 10:43:29 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerJobEnd(0,1511145809112,JobFailed(org.apache.spark.SparkException: Job 0 cancelled because SparkContext was shut down))
17/11/20 10:43:29 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors
17/11/20 10:43:29 INFO cluster.YarnClientSchedulerBackend: Asking each executor to shut down
17/11/20 10:43:29 INFO storage.DiskBlockManager: Shutdown hook called
17/11/20 10:43:29 INFO cluster.YarnClientSchedulerBackend: Stopped
17/11/20 10:43:29 INFO util.ShutdownHookManager: Shutdown hook called
17/11/20 10:43:29 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-1a7d680b-c815-4c0d-b706-9751f5f1b57a/httpd-e8d7be01-495d-403b-a7a4-1332d9ae2411
17/11/20 10:43:29 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/11/20 10:43:29 INFO storage.MemoryStore: MemoryStore cleared
17/11/20 10:43:29 INFO storage.BlockManager: BlockManager stopped
17/11/20 10:43:29 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
17/11/20 10:43:29 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/11/20 10:43:29 INFO spark.SparkContext: Successfully stopped SparkContext
17/11/20 10:43:29 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-1a7d680b-c815-4c0d-b706-9751f5f1b57a/userFiles-e796cf1a-3942-44d1-a8cc-68295e623b03
17/11/20 10:43:29 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-1a7d680b-c815-4c0d-b706-9751f5f1b57a
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Hadoop 概述

Hadoop 是 Apache 基金会下的一个开源分布式计算平台，以 HDFS 分布式文件系统 和 MapReduce 分布式计算框架为核心，为用户提供底层细节透明的分布式基础设施。目前，Hadoop 是分析海量数据的首选工具。Hadoop 是一个可以更容易开发和并行处理大规模数据的分布式计算平台，它的主要特点是扩展能力强、成本低、高效率和可靠。目前，Hadoop 的用户已经从传统的互联网公司，扩展到了各个行业，并且得到越来越广泛的应用。它的优势包括： （1）方便：Hadoop 可以运行在商业机器集群上，或者Amazon EC2 等云计算服务商。 （2）弹性：Hadoop 可以方便增加和减少集群节点。 （3）健壮：Hadoop 可以从容处理常见的硬件失效情况。 （4）简单：Hadoop 允许用户快速高效编写并行分布代码。 0. 关于大数据 1. Hadoop：事实上的大数据标准 3. Hadoop 体系结构 HDFS: Hadoop 分布式文件系统 HDFS 有着高容错性特点，并且设计用来部署在低廉的硬件上，适合那些有着超大数据集的应用程序。 MapReduce: Hadoop ...
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Hadoop HDFS编程 API入门系列之RPC版本2（九）

代码 1 package zhouls.bigdata.myWholeHadoop.RPC.rpc2; 2 3 public class LoginServiceImpl implements LoginServiceInterface { 4 5 @Override 6 public String login(String username, String password) { 7 8 return username + " logged in successfully!"; 9 } 10 11 } 1 package zhouls.bigdata.myWholeHadoop.RPC.rpc2; 2 3 public class LoginServiceImpl implements LoginServiceInterface { 4 5 @Override 6 public String login(String username, String password) { 7 8 return username + " logged in successfully!"...
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