16/10/20 18:12:14 ERROR cluster.YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!
From this, I think it is spark has difficult communicating with YARN. You should check your Spark log. On Fri, Oct 21, 2016 at 8:06 AM Li Li <fancye...@gmail.com> wrote: which log file should I On Thu, Oct 20, 2016 at 10:02 PM, Saisai Shao <sai.sai.s...@gmail.com> wrote: > Looks like ApplicationMaster is killed by SIGTERM. > > 16/10/20 18:12:04 ERROR yarn.ApplicationMaster: RECEIVED SIGNAL TERM > 16/10/20 18:12:04 INFO yarn.ApplicationMaster: Final app status: > > This container may be killed by yarn NodeManager or other processes, you'd > better check yarn log to dig out more details. > > Thanks > Saisai > > On Thu, Oct 20, 2016 at 6:51 PM, Li Li <fancye...@gmail.com> wrote: >> >> I am setting up a small yarn/spark cluster. hadoop/yarn version is >> 2.7.3 and I can run wordcount map-reduce correctly in yarn. >> And I am using spark-2.0.1-bin-hadoop2.7 using command: >> ~/spark-2.0.1-bin-hadoop2.7$ ./bin/spark-submit --class >> org.apache.spark.examples.SparkPi --master yarn-client >> examples/jars/spark-examples_2.11-2.0.1.jar 10000 >> it fails and the first error is: >> 16/10/20 18:12:03 INFO storage.BlockManagerMaster: Registered >> BlockManager BlockManagerId(driver, 10.161.219.189, 39161) >> 16/10/20 18:12:03 INFO handler.ContextHandler: Started >> o.s.j.s.ServletContextHandler@76ad6715{/metrics/json,null,AVAILABLE} >> 16/10/20 18:12:12 INFO >> cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster >> registered as NettyRpcEndpointRef(null) >> 16/10/20 18:12:12 INFO cluster.YarnClientSchedulerBackend: Add WebUI >> Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, >> Map(PROXY_HOSTS -> ai-hz1-spark1, PROXY_URI_BASES -> >> http://ai-hz1-spark1:8088/proxy/application_1476957324184_0002), >> /proxy/application_1476957324184_0002 >> 16/10/20 18:12:12 INFO ui.JettyUtils: Adding filter: >> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter >> 16/10/20 18:12:12 INFO cluster.YarnClientSchedulerBackend: >> SchedulerBackend is ready for scheduling beginning after waiting >> maxRegisteredResourcesWaitingTime: 30000(ms) >> 16/10/20 18:12:12 WARN spark.SparkContext: Use an existing >> SparkContext, some configuration may not take effect. >> 16/10/20 18:12:12 INFO handler.ContextHandler: Started >> o.s.j.s.ServletContextHandler@489091bd{/SQL,null,AVAILABLE} >> 16/10/20 18:12:12 INFO handler.ContextHandler: Started >> o.s.j.s.ServletContextHandler@1de9b505{/SQL/json,null,AVAILABLE} >> 16/10/20 18:12:12 INFO handler.ContextHandler: Started >> o.s.j.s.ServletContextHandler@378f002a{/SQL/execution,null,AVAILABLE} >> 16/10/20 18:12:12 INFO handler.ContextHandler: Started >> o.s.j.s.ServletContextHandler@2cc75074 {/SQL/execution/json,null,AVAILABLE} >> 16/10/20 18:12:12 INFO handler.ContextHandler: Started >> o.s.j.s.ServletContextHandler@2d64160c{/static/sql,null,AVAILABLE} >> 16/10/20 18:12:12 INFO internal.SharedState: Warehouse path is >> '/home/hadoop/spark-2.0.1-bin-hadoop2.7/spark-warehouse'. >> 16/10/20 18:12:13 INFO spark.SparkContext: Starting job: reduce at >> SparkPi.scala:38 >> 16/10/20 18:12:13 INFO scheduler.DAGScheduler: Got job 0 (reduce at >> SparkPi.scala:38) with 10000 output partitions >> 16/10/20 18:12:13 INFO scheduler.DAGScheduler: Final stage: >> ResultStage 0 (reduce at SparkPi.scala:38) >> 16/10/20 18:12:13 INFO scheduler.DAGScheduler: Parents of final stage: >> List() >> 16/10/20 18:12:13 INFO scheduler.DAGScheduler: Missing parents: List() >> 16/10/20 18:12:13 INFO scheduler.DAGScheduler: Submitting ResultStage >> 0 (MapPartitionsRDD[1] at map at SparkPi.scala:34), which has no >> missing parents >> 16/10/20 18:12:13 INFO memory.MemoryStore: Block broadcast_0 stored as >> values in memory (estimated size 1832.0 B, free 366.3 MB) >> 16/10/20 18:12:13 INFO memory.MemoryStore: Block broadcast_0_piece0 >> stored as bytes in memory (estimated size 1169.0 B, free 366.3 MB) >> 16/10/20 18:12:13 INFO storage.BlockManagerInfo: Added >> broadcast_0_piece0 in memory on 10.161.219.189:39161 (size: 1169.0 B, >> free: 366.3 MB) >> 16/10/20 18:12:13 INFO spark.SparkContext: Created broadcast 0 from >> broadcast at DAGScheduler.scala:1012 >> 16/10/20 18:12:13 INFO scheduler.DAGScheduler: Submitting 10000 >> missing tasks from ResultStage 0 (MapPartitionsRDD[1] at map at >> SparkPi.scala:34) >> 16/10/20 18:12:13 INFO cluster.YarnScheduler: Adding task set 0.0 with >> 10000 tasks >> 16/10/20 18:12:14 ERROR cluster.YarnClientSchedulerBackend: Yarn >> application has already exited with state FINISHED! >> 16/10/20 18:12:14 INFO server.ServerConnector: Stopped >> ServerConnector@389adf1d{HTTP/1.1}{0.0.0.0:4040} >> 16/10/20 18:12:14 INFO handler.ContextHandler: Stopped >> o.s.j.s.ServletContextHandler@841e575 {/stages/stage/kill,null,UNAVAILABLE} >> 16/10/20 18:12:14 INFO handler.ContextHandler: Stopped >> o.s.j.s.ServletContextHandler@66629f63{/api,null,UNAVAILABLE} >> 16/10/20 18:12:14 INFO handler.ContextHandler: Stopped >> o.s.j.s.ServletContextHandler@2b62442c{/,null,UNAVAILABLE} >> >> >> I also use yarn log to get logs from yarn(total log is very lengthy in >> attachement): >> 16/10/20 18:12:03 INFO yarn.ExecutorRunnable: >> >> =============================================================================== >> YARN executor launch context: >> env: >> CLASSPATH -> >> >> {{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>$HADOOP_CONF_DIR<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/*<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/lib/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/* >> SPARK_LOG_URL_STDERR -> >> >> http://ai-hz1-spark3:8042/node/containerlogs/container_1476957324184_0002_01_000003/hadoop/stderr?start=-4096 >> SPARK_YARN_STAGING_DIR -> >> >> hdfs://ai-hz1-spark1/user/hadoop/.sparkStaging/application_1476957324184_0002 >> SPARK_USER -> hadoop >> SPARK_YARN_MODE -> true >> SPARK_LOG_URL_STDOUT -> >> >> http://ai-hz1-spark3:8042/node/containerlogs/container_1476957324184_0002_01_000003/hadoop/stdout?start=-4096 >> >> command: >> {{JAVA_HOME}}/bin/java -server -Xmx1024m >> -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=60657' >> -Dspark.yarn.app.container.log.dir=<LOG_DIR> >> -XX:OnOutOfMemoryError='kill %p' >> org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url >> spark://CoarseGrainedScheduler@10.161.219.189:60657 --executor-id 2 >> --hostname ai-hz1-spark3 --cores 1 --app-id >> application_1476957324184_0002 --user-class-path file:$PWD/__app__.jar >> 1> <LOG_DIR>/stdout 2> <LOG_DIR>/stderr >> >> =============================================================================== >> >> 16/10/20 18:12:03 INFO impl.ContainerManagementProtocolProxy: Opening >> proxy : ai-hz1-spark5:55857 >> 16/10/20 18:12:03 INFO impl.ContainerManagementProtocolProxy: Opening >> proxy : ai-hz1-spark3:51061 >> 16/10/20 18:12:04 ERROR yarn.ApplicationMaster: RECEIVED SIGNAL TERM >> 16/10/20 18:12:04 INFO yarn.ApplicationMaster: Final app status: >> UNDEFINED, exitCode: 16, (reason: Shutdown hook called before final >> status was reported.) >> 16/10/20 18:12:04 INFO util.ShutdownHookManager: Shutdown hook called >> >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org -- Thanks, David S.