which log file should I check?
On Thu, Oct 20, 2016 at 11:32 PM, Amit Tank
<amittankopensou...@gmail.com> wrote:
> I recently started learning spark so I may be completely wrong here but I
> was facing similar problem with sparkpi on yarn. After changing yarn to
> cluster mode it worked perfectly fine.
>
> Thank you,
> Amit
>
>
> On Thursday, October 20, 2016, 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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>>
>>
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