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From Saisai Shao <sai.sai.s...@gmail.com>
Subject Re: spark pi example fail on yarn
Date Thu, 20 Oct 2016 14:02:39 GMT
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 <fancyerii@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
>
>
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