Try to set the memory size limits. For example:
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master
yarn --deploy-mode cluster --driver-memory 4g
--executor-memory 2g --executor-cores 1
./examples/jars/spark-examples_2.11-2.0.0.2.5.2.0-47.jar
By default yarn prefers to kill containers not only by physical but
virtual memory limit.
You could also try to set
yarn.nodemanager.vmem-check-enabled
to false (yarn-site.xml)
Regards
Marton
On 10/20/16 4:02 PM, Saisai Shao 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
<mailto: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
<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
<http://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 <http://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
<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
<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
<http://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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