Spark应用程序可以在独立模式下运行，但无法在纱线群集

时间：2016-10-28 09:24:20

标签： hadoop apache-spark yarn

恩，你好大家一直在困扰我很长一段时间。我可以通过这个命令以独立模式运行我的spark应用程序 spark-submit --master spark://fuxiuyin-virtual-machine:7077 test_app.py
但是这个应用程序无法通过此命令在纱线集群中运行 spark-submit --master yarn test_app.py

我认为我的纱线簇很健康 jps的输出是

$ jps
8289 Worker
14882 NameNode
15475 ResourceManager
8134 Master
15751 NodeManager
15063 DataNode
17212 Jps
15295 SecondaryNameNode

“群集的节点”页面为
here

spark-submit的输出是

$ /opt/spark/bin/spark-submit --master yarn test_app.py
16/10/28 16:54:39 INFO spark.SparkContext: Running Spark version 2.0.1
16/10/28 16:54:39 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/10/28 16:54:39 INFO spark.SecurityManager: Changing view acls to: fuxiuyin
16/10/28 16:54:39 INFO spark.SecurityManager: Changing modify acls to: fuxiuyin
16/10/28 16:54:39 INFO spark.SecurityManager: Changing view acls groups to: 
16/10/28 16:54:39 INFO spark.SecurityManager: Changing modify acls groups to: 
16/10/28 16:54:39 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(fuxiuyin); groups with view permissions: Set(); users  with modify permissions: Set(fuxiuyin); groups with modify permissions: Set()
16/10/28 16:54:39 INFO util.Utils: Successfully started service 'sparkDriver' on port 42519.
16/10/28 16:54:39 INFO spark.SparkEnv: Registering MapOutputTracker
16/10/28 16:54:39 INFO spark.SparkEnv: Registering BlockManagerMaster
16/10/28 16:54:39 INFO storage.DiskBlockManager: Created local directory at /opt/spark/blockmgr-1dcd1d1a-4cf4-4778-9b71-53e238a62c97
16/10/28 16:54:39 INFO memory.MemoryStore: MemoryStore started with capacity 366.3 MB
16/10/28 16:54:40 INFO spark.SparkEnv: Registering OutputCommitCoordinator
16/10/28 16:54:40 INFO util.log: Logging initialized @1843ms
16/10/28 16:54:40 INFO server.Server: jetty-9.2.z-SNAPSHOT
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1b933891{/jobs,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@580d9060{/jobs/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3a8fb3d9{/jobs/job,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@744ecb1b{/jobs/job/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@761b32b3{/stages,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@42213280{/stages/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5775066{/stages/stage,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7e355c0{/stages/stage/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@28426125{/stages/pool,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@63bcf39f{/stages/pool/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5cf77bee{/storage,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@412768e5{/storage/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7ad772ad{/storage/rdd,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7ef35663{/storage/rdd/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@193c7a58{/environment,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@63a649da{/environment/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@22251d19{/executors,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@46810770{/executors/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3c155b42{/executors/threadDump,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6dac2d83{/executors/threadDump/json,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@67eb38fa{/static,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@291f19f0{/,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3f4688da{/api,null,AVAILABLE}
16/10/28 16:54:40 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@338a7a84{/stages/stage/kill,null,AVAILABLE}
16/10/28 16:54:40 INFO server.ServerConnector: Started ServerConnector@7df0e73{HTTP/1.1}{fuxiuyin-virtual-machine:4040}
16/10/28 16:54:40 INFO server.Server: Started @1962ms
16/10/28 16:54:40 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
16/10/28 16:54:40 INFO ui.SparkUI: Bound SparkUI to fuxiuyin-virtual-machine, and started at http://192.168.102.133:4040
16/10/28 16:54:40 INFO client.RMProxy: Connecting to ResourceManager at fuxiuyin-virtual-machine/192.168.102.133:8032
16/10/28 16:54:41 INFO yarn.Client: Requesting a new application from cluster with 1 NodeManagers
16/10/28 16:54:41 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
16/10/28 16:54:41 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
16/10/28 16:54:41 INFO yarn.Client: Setting up container launch context for our AM
16/10/28 16:54:41 INFO yarn.Client: Setting up the launch environment for our AM container
16/10/28 16:54:41 INFO yarn.Client: Preparing resources for our AM container
16/10/28 16:54:41 WARN yarn.Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.
16/10/28 16:54:42 INFO yarn.Client: Uploading resource file:/opt/spark/spark-97ecc15d-7f26-4b73-a67e-953fdc127898/__spark_libs__697818607740390689.zip -> hdfs://fuxiuyin-virtual-machine:9000/user/fuxiuyin/.sparkStaging/application_1477644823180_0001/__spark_libs__697818607740390689.zip
16/10/28 16:54:45 INFO yarn.Client: Uploading resource file:/opt/spark/python/lib/pyspark.zip -> hdfs://fuxiuyin-virtual-machine:9000/user/fuxiuyin/.sparkStaging/application_1477644823180_0001/pyspark.zip
16/10/28 16:54:45 INFO yarn.Client: Uploading resource file:/opt/spark/python/lib/py4j-0.10.3-src.zip -> hdfs://fuxiuyin-virtual-machine:9000/user/fuxiuyin/.sparkStaging/application_1477644823180_0001/py4j-0.10.3-src.zip
16/10/28 16:54:45 INFO yarn.Client: Uploading resource file:/opt/spark/spark-97ecc15d-7f26-4b73-a67e-953fdc127898/__spark_conf__7760765070208746118.zip -> hdfs://fuxiuyin-virtual-machine:9000/user/fuxiuyin/.sparkStaging/application_1477644823180_0001/__spark_conf__.zip
16/10/28 16:54:45 INFO spark.SecurityManager: Changing view acls to: fuxiuyin
16/10/28 16:54:45 INFO spark.SecurityManager: Changing modify acls to: fuxiuyin
16/10/28 16:54:45 INFO spark.SecurityManager: Changing view acls groups to: 
16/10/28 16:54:45 INFO spark.SecurityManager: Changing modify acls groups to: 
16/10/28 16:54:45 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(fuxiuyin); groups with view permissions: Set(); users  with modify permissions: Set(fuxiuyin); groups with modify permissions: Set()
16/10/28 16:54:45 INFO yarn.Client: Submitting application application_1477644823180_0001 to ResourceManager
16/10/28 16:54:45 INFO impl.YarnClientImpl: Submitted application application_1477644823180_0001
16/10/28 16:54:45 INFO cluster.SchedulerExtensionServices: Starting Yarn extension services with app application_1477644823180_0001 and attemptId None
16/10/28 16:54:46 INFO yarn.Client: Application report for application_1477644823180_0001 (state: ACCEPTED)
16/10/28 16:54:46 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1477644885891
     final status: UNDEFINED
     tracking URL: http://fuxiuyin-virtual-machine:8088/proxy/application_1477644823180_0001/
     user: fuxiuyin
16/10/28 16:54:47 INFO yarn.Client: Application report for application_1477644823180_0001 (state: ACCEPTED)
16/10/28 16:54:48 INFO yarn.Client: Application report for application_1477644823180_0001 (state: ACCEPTED)
16/10/28 16:54:49 INFO yarn.Client: Application report for application_1477644823180_0001 (state: ACCEPTED)
16/10/28 16:54:50 INFO yarn.Client: Application report for application_1477644823180_0001 (state: ACCEPTED)
16/10/28 16:54:51 INFO yarn.Client: Application report for application_1477644823180_0001 (state: ACCEPTED)
16/10/28 16:54:52 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
16/10/28 16:54:52 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> fuxiuyin-virtual-machine, PROXY_URI_BASES -> http://fuxiuyin-virtual-machine:8088/proxy/application_1477644823180_0001), /proxy/application_1477644823180_0001
16/10/28 16:54:52 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
16/10/28 16:54:52 INFO yarn.Client: Application report for application_1477644823180_0001 (state: RUNNING)
16/10/28 16:54:52 INFO yarn.Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.102.133
     ApplicationMaster RPC port: 0
     queue: default
     start time: 1477644885891
     final status: UNDEFINED
     tracking URL: http://fuxiuyin-virtual-machine:8088/proxy/application_1477644823180_0001/
     user: fuxiuyin
16/10/28 16:54:52 INFO cluster.YarnClientSchedulerBackend: Application application_1477644823180_0001 has started running.
16/10/28 16:54:52 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 39951.
16/10/28 16:54:52 INFO netty.NettyBlockTransferService: Server created on 192.168.102.133:39951
16/10/28 16:54:53 INFO storage.BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.102.133, 39951)
16/10/28 16:54:53 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.102.133:39951 with 366.3 MB RAM, BlockManagerId(driver, 192.168.102.133, 39951)
16/10/28 16:54:53 INFO storage.BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.102.133, 39951)
16/10/28 16:54:53 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@43ba5458{/metrics/json,null,AVAILABLE}
16/10/28 16:54:57 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
16/10/28 16:54:57 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> fuxiuyin-virtual-machine, PROXY_URI_BASES -> http://fuxiuyin-virtual-machine:8088/proxy/application_1477644823180_0001), /proxy/application_1477644823180_0001
16/10/28 16:54:57 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
16/10/28 16:54:59 INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.102.133:45708) with ID 1
16/10/28 16:54:59 INFO storage.BlockManagerMasterEndpoint: Registering block manager fuxiuyin-virtual-machine:33074 with 366.3 MB RAM, BlockManagerId(1, fuxiuyin-virtual-machine, 33074)
16/10/28 16:55:00 INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.102.133:45712) with ID 2
16/10/28 16:55:00 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.8
16/10/28 16:55:00 INFO storage.BlockManagerMasterEndpoint: Registering block manager fuxiuyin-virtual-machine:43740 with 366.3 MB RAM, BlockManagerId(2, fuxiuyin-virtual-machine, 43740)
16/10/28 16:55:00 INFO spark.SparkContext: Starting job: collect at /home/fuxiuyin/test_app.py:8
16/10/28 16:55:00 INFO scheduler.DAGScheduler: Got job 0 (collect at /home/fuxiuyin/test_app.py:8) with 2 output partitions
16/10/28 16:55:00 INFO scheduler.DAGScheduler: Final stage: ResultStage 0 (collect at /home/fuxiuyin/test_app.py:8)
16/10/28 16:55:00 INFO scheduler.DAGScheduler: Parents of final stage: List()
16/10/28 16:55:00 INFO scheduler.DAGScheduler: Missing parents: List()
16/10/28 16:55:00 INFO scheduler.DAGScheduler: Submitting ResultStage 0 (PythonRDD[1] at collect at /home/fuxiuyin/test_app.py:8), which has no missing parents
16/10/28 16:55:00 INFO memory.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 3.8 KB, free 366.3 MB)
16/10/28 16:55:00 INFO memory.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2.5 KB, free 366.3 MB)
16/10/28 16:55:00 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.102.133:39951 (size: 2.5 KB, free: 366.3 MB)
16/10/28 16:55:00 INFO spark.SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1012
16/10/28 16:55:00 INFO scheduler.DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (PythonRDD[1] at collect at /home/fuxiuyin/test_app.py:8)
16/10/28 16:55:00 INFO cluster.YarnScheduler: Adding task set 0.0 with 2 tasks
16/10/28 16:55:00 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, fuxiuyin-virtual-machine, partition 0, PROCESS_LOCAL, 5450 bytes)
16/10/28 16:55:00 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, fuxiuyin-virtual-machine, partition 1, PROCESS_LOCAL, 5469 bytes)
16/10/28 16:55:00 INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Launching task 0 on executor id: 2 hostname: fuxiuyin-virtual-machine.
16/10/28 16:55:00 INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Launching task 1 on executor id: 1 hostname: fuxiuyin-virtual-machine.
16/10/28 16:55:01 ERROR cluster.YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!
16/10/28 16:55:01 INFO server.ServerConnector: Stopped ServerConnector@7df0e73{HTTP/1.1}{fuxiuyin-virtual-machine:4040}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@338a7a84{/stages/stage/kill,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@3f4688da{/api,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@291f19f0{/,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@67eb38fa{/static,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@6dac2d83{/executors/threadDump/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@3c155b42{/executors/threadDump,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@46810770{/executors/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@22251d19{/executors,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@63a649da{/environment/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@193c7a58{/environment,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@7ef35663{/storage/rdd/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@7ad772ad{/storage/rdd,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@412768e5{/storage/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5cf77bee{/storage,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@63bcf39f{/stages/pool/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@28426125{/stages/pool,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@7e355c0{/stages/stage/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5775066{/stages/stage,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@42213280{/stages/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@761b32b3{/stages,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@744ecb1b{/jobs/job/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@3a8fb3d9{/jobs/job,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@580d9060{/jobs/json,null,UNAVAILABLE}
16/10/28 16:55:01 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@1b933891{/jobs,null,UNAVAILABLE}
16/10/28 16:55:01 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.102.133:4040
16/10/28 16:55:01 INFO scheduler.DAGScheduler: Job 0 failed: collect at /home/fuxiuyin/test_app.py:8, took 0.383872 s
16/10/28 16:55:01 INFO scheduler.DAGScheduler: ResultStage 0 (collect at /home/fuxiuyin/test_app.py:8) failed in 0.233 s
16/10/28 16:55:01 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerStageCompleted(org.apache.spark.scheduler.StageInfo@469337f1)
Traceback (most recent call last):
  File "/home/fuxiuyin/test_app.py", line 8, in <module>
    print(data.collect())
  File "/opt/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 776, in collect
  File "/opt/spark/python/lib/py4j-0.10.3-src.zip/py4j/java_gateway.py", line 1133, in __call__
  File "/opt/spark/python/lib/py4j-0.10.3-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError16/10/28 16:55:01 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerJobEnd(0,1477644901073,JobFailed(org.apache.spark.SparkException: Job 0 cancelled because SparkContext was shut down))
: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job 0 cancelled because SparkContext was shut down
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:818)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:816)
    at scala.collection.mutable.HashSet.foreach(HashSet.scala:78)
    at org.apache.spark.scheduler.DAGScheduler.cleanUpAfterSchedulerStop(DAGScheduler.scala:816)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onStop(DAGScheduler.scala:1685)
    at org.apache.spark.util.EventLoop.stop(EventLoop.scala:83)
    at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1604)
    at org.apache.spark.SparkContext$$anonfun$stop$8.apply$mcV$sp(SparkContext.scala:1798)
    at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1287)
    at org.apache.spark.SparkContext.stop(SparkContext.scala:1797)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:108)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1890)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1916)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1930)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:912)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:911)
    at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453)
    at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:280)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:214)
    at java.lang.Thread.run(Thread.java:745)

16/10/28 16:55:01 ERROR client.TransportClient: Failed to send RPC 9187551343857476032 to /192.168.102.133:45698: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
16/10/28 16:55:01 ERROR cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Sending RequestExecutors(0,0,Map()) to AM was unsuccessful
java.io.IOException: Failed to send RPC 9187551343857476032 to /192.168.102.133:45698: java.nio.channels.ClosedChannelException
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:249)
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:233)
    at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
    at io.netty.util.concurrent.DefaultPromise$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:745)
Caused by: java.nio.channels.ClosedChannelException
16/10/28 16:55:01 INFO cluster.SchedulerExtensionServices: Stopping SchedulerExtensionServices
(serviceOption=None,
 services=List(),
 started=false)
16/10/28 16:55:01 ERROR util.Utils: Uncaught exception in thread Yarn application state monitor
org.apache.spark.SparkException: Exception thrown in awaitResult
    at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
    at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
    at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
    at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:508)
    at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.stop(YarnSchedulerBackend.scala:93)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.stop(YarnClientSchedulerBackend.scala:151)
    at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:455)
    at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1605)
    at org.apache.spark.SparkContext$$anonfun$stop$8.apply$mcV$sp(SparkContext.scala:1798)
    at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1287)
    at org.apache.spark.SparkContext.stop(SparkContext.scala:1797)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:108)
Caused by: java.io.IOException: Failed to send RPC 9187551343857476032 to /192.168.102.133:45698: java.nio.channels.ClosedChannelException
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:249)
    at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:233)
    at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
    at io.netty.util.concurrent.DefaultPromise$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:745)
Caused by: java.nio.channels.ClosedChannelException
16/10/28 16:55:01 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
16/10/28 16:55:01 INFO storage.DiskBlockManager: Shutdown hook called
16/10/28 16:55:01 INFO util.ShutdownHookManager: Shutdown hook called
16/10/28 16:55:01 INFO util.ShutdownHookManager: Deleting directory /opt/spark/spark-97ecc15d-7f26-4b73-a67e-953fdc127898/userFiles-f51df2cd-8ec0-4caa-862f-77db0cc72505
16/10/28 16:55:01 INFO util.ShutdownHookManager: Deleting directory /opt/spark/spark-97ecc15d-7f26-4b73-a67e-953fdc127898/pyspark-5216f977-d3c3-495f-b91a-88fa2218696d
16/10/28 16:55:01 INFO util.ShutdownHookManager: Deleting directory /opt/spark/spark-97ecc15d-7f26-4b73-a67e-953fdc127898
16/10/28 16:55:01 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on fuxiuyin-virtual-machine:43740 (size: 2.5 KB, free: 366.3 MB)
16/10/28 16:55:01 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerBlockUpdated(BlockUpdatedInfo(BlockManagerId(2, fuxiuyin-virtual-machine, 43740),broadcast_0_piece0,StorageLevel(memory, 1 replicas),2517,0))
16/10/28 16:55:01 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on fuxiuyin-virtual-machine:33074 (size: 2.5 KB, free: 366.3 MB)
16/10/28 16:55:01 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerBlockUpdated(BlockUpdatedInfo(BlockManagerId(1, fuxiuyin-virtual-machine, 33074),broadcast_0_piece0,StorageLevel(memory, 1 replicas),2517,0))
16/10/28 16:55:01 INFO memory.MemoryStore: MemoryStore cleared
16/10/28 16:55:01 INFO storage.BlockManager: BlockManager stopped

纱线资源管理员的日志在

yarn-fuxiuyin-resourcemanager-fuxiuyin-virtual-machine.log

我提交此用户的应用：

uid=1000(fuxiuyin) gid=1000(fuxiuyin) 组=1000(fuxiuyin),4(adm),24(cdrom),27(sudo),30(dip),46(plugdev),108(lpadmin),124(sambashare)

我的test_app是

from pyspark import SparkContext, SparkConf

conf = SparkConf().setAppName("test_app")

sc = SparkContext(conf=conf)
data = sc.parallelize([1, 2, 3])
data = data.map(lambda x: x + 1)
print(data.collect())

我不知道如何解决它。

思。

2 个答案:

答案 0 :(得分：0)

驱动程序必须在打印前从工作节点收集所有数据，因此请使用下面的代码。

  

我认为错误是由于 

print(data.collect())

使用

for x in data.collect():
       print x

并使用spark submit as：

spark-submit --master yarn deploy-mode cluster test_app.py

答案 1 :(得分：0)

而不是spark-submit --master yarn test_app.py 试试这个命令spark-submit --master yarn-client test_app.py

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