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
>>
>>
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--
Thanks,
David S.
