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Matthew Daniel commented on SPARK-4267: --------------------------------------- Apologies, I don't know if we want log verbiage inline or as an attachment. I experienced this NPE on an EMR cluster, AMI 3.3.0 which is Amazon Hadoop 2.4.0 against a {{make-distribution.sh}} version with {{-Pyarn}} and {{-Phadoop-2.2}} with {{-Dhadoop.version=2.2.0}}. I built it against 2.2 because some of our jobs run on 2.2, and I thought 2.4 would be backwards compatible. I will try building as you said, using {{sbt assembly}}, but I wanted to reply to your comment that yes, I do see an {{ERROR}} line but it isn't helpful to me, so I hope it's meaningful to others. {noformat} 14/11/13 02:58:23 INFO cluster.YarnClientSchedulerBackend: Application report from ASM: appMasterRpcPort: -1 appStartTime: 1415847498993 yarnAppState: ACCEPTED 14/11/13 02:58:23 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, PROXY_HOST=10.166.39.198,PROXY_URI_BASE=http://10.166.39.198:9046/proxy/application_1415840940647_0001, /proxy/application_1415840940647_0001 14/11/13 02:58:23 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 14/11/13 02:58:24 INFO cluster.YarnClientSchedulerBackend: Application report from ASM: appMasterRpcPort: 0 appStartTime: 1415847498993 yarnAppState: RUNNING 14/11/13 02:58:29 ERROR cluster.YarnClientSchedulerBackend: Yarn application already ended: FINISHED 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/metrics/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/stage/kill,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/static,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/executors/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/executors,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/environment/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/environment,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage/rdd/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage/rdd,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/pool/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/pool,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/stage/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/stage,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/json,null} 14/11/13 02:58:29 INFO handler.ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages,null} 14/11/13 02:58:29 INFO ui.SparkUI: Stopped Spark web UI at http://ip-10-166-39-198.ec2.internal:4040 14/11/13 02:58:29 INFO scheduler.DAGScheduler: Stopping DAGScheduler 14/11/13 02:58:29 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors 14/11/13 02:58:29 INFO cluster.YarnClientSchedulerBackend: Asking each executor to shut down 14/11/13 02:58:29 INFO cluster.YarnClientSchedulerBackend: Stopped 14/11/13 02:58:30 INFO spark.MapOutputTrackerMasterActor: MapOutputTrackerActor stopped! 14/11/13 02:58:30 INFO network.ConnectionManager: Selector thread was interrupted! 14/11/13 02:58:30 INFO network.ConnectionManager: ConnectionManager stopped 14/11/13 02:58:30 INFO storage.MemoryStore: MemoryStore cleared 14/11/13 02:58:30 INFO storage.BlockManager: BlockManager stopped 14/11/13 02:58:30 INFO storage.BlockManagerMaster: BlockManagerMaster stopped 14/11/13 02:58:30 INFO spark.SparkContext: Successfully stopped SparkContext 14/11/13 02:58:30 INFO remote.RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon. 14/11/13 02:58:30 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports. 14/11/13 02:58:30 INFO Remoting: Remoting shut down 14/11/13 02:58:30 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remoting shut down. 14/11/13 02:58:47 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after waiting maxRegisteredResourcesWaitingTime: 30000(ms) {noformat} > Failing to launch jobs on Spark on YARN with Hadoop 2.5.0 or later > ------------------------------------------------------------------ > > Key: SPARK-4267 > URL: https://issues.apache.org/jira/browse/SPARK-4267 > Project: Spark > Issue Type: Bug > Reporter: Tsuyoshi OZAWA > > Currently we're trying Spark on YARN included in Hadoop 2.5.1. Hadoop 2.5 > uses protobuf 2.5.0 so I compiled with protobuf 2.5.1 like this: > {code} > ./make-distribution.sh --name spark-1.1.1 --tgz -Pyarn > -Dhadoop.version=2.5.1 -Dprotobuf.version=2.5.0 > {code} > Then Spark on YARN fails to launch jobs with NPE. > {code} > $ bin/spark-shell --master yarn-client > scala> sc.textFile("hdfs:///user/ozawa/wordcountInput20G").flatMap(line > => line.split(" ")).map(word => (word, 1)).persist().reduceByKey((a, b) => a > + b, 16).saveAsTextFile("hdfs:///user/ozawa/sparkWordcountOutNew2"); > java.lang.NullPointerException > > > > at > org.apache.spark.SparkContext.defaultParallelism(SparkContext.scala:1284) > at > org.apache.spark.SparkContext.defaultMinPartitions(SparkContext.scala:1291) > > > > at > org.apache.spark.SparkContext.textFile$default$2(SparkContext.scala:480) > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:13) > > > > at $iwC$$iwC$$iwC.<init>(<console>:18) > at $iwC$$iwC.<init>(<console>:20) > > > > at $iwC.<init>(<console>:22) > at <init>(<console>:24) > > > > at .<init>(<console>:28) > at .<clinit>(<console>) > > > > at .<init>(<console>:7) > at .<clinit>(<console>) > > > > at $print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > > > > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > > > > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789) > > > > at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062) > at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615) > > > > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610) > > > > at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:823) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:868) > > > > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:780) > at > org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:625) > > > > at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:633) > at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:638) > > > > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:963) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911) > > > > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > > > > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:911) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1006) > > > > at org.apache.spark.repl.Main$.main(Main.scala:31) > at org.apache.spark.repl.Main.main(Main.scala) > > > > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > > > > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > > > > at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:329) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75) > > > > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org