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Posted to issues@spark.apache.org by "Guoqiang Li (JIRA)" <ji...@apache.org> on 2014/05/26 15:51:01 UTC
[jira] [Created] (SPARK-1930) When the yarn containers occupies 8G
memory ,the containers were killed
Guoqiang Li created SPARK-1930:
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Summary: When the yarn containers occupies 8G memory ,the containers were killed
Key: SPARK-1930
URL: https://issues.apache.org/jira/browse/SPARK-1930
Project: Spark
Issue Type: Bug
Components: YARN
Reporter: Guoqiang Li
When the containers occupies 8G memory ,the containers were killed
yarn node manager log:
{code}
2014-05-23 13:00:23,856 WARN org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Container [pid=42542,containerID=container_1400809535638_0013_01_000015] is running beyond physical memory limits. Current usage: 8.5 GB of 8.5 GB physical memory used; 9.6 GB of 17.8 GB virtual memory used. Killing container.
Dump of the process-tree for container_1400809535638_0013_01_000015 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 42547 42542 42542 42542 (java) 1064464 42738 10247843840 2240623 /usr/java/jdk1.7.0_45-cloudera/bin/java -server -XX:OnOutOfMemoryError=kill %p -Xms8192m -Xmx8192m -Xss2m -Djava.io.tmpdir=/yarn/nm/usercache/spark/appcache/application_1400809535638_0013/container_1400809535638_0013_01_000015/tmp -Dlog4j.configuration=log4j-spark-container.properties -Dspark.akka.askTimeout=120 -Dspark.akka.timeout=120 -Dspark.akka.frameSize=20 org.apache.spark.executor.CoarseGrainedExecutorBackend akka.tcp://spark@10dian71.domain.test:42766/user/CoarseGrainedScheduler 12 10dian72.domain.test 4
|- 42542 25417 42542 42542 (bash) 0 0 110804992 335 /bin/bash -c /usr/java/jdk1.7.0_45-cloudera/bin/java -server -XX:OnOutOfMemoryError='kill %p' -Xms8192m -Xmx8192m -Xss2m -Djava.io.tmpdir=/yarn/nm/usercache/spark/appcache/application_1400809535638_0013/container_1400809535638_0013_01_000015/tmp -Dlog4j.configuration=log4j-spark-container.properties -Dspark.akka.askTimeout="120" -Dspark.akka.timeout="120" -Dspark.akka.frameSize="20" org.apache.spark.executor.CoarseGrainedExecutorBackend akka.tcp://spark@10dian71.domain.test:42766/user/CoarseGrainedScheduler 12 10dian72.domain.test 4 1> /var/log/hadoop-yarn/container/application_1400809535638_0013/container_1400809535638_0013_01_000015/stdout 2> /var/log/hadoop-yarn/container/application_1400809535638_0013/container_1400809535638_0013_01_000015/stderr
{code}
I think it should be related with {{YarnAllocationHandler.MEMORY_OVERHEA}}
https://github.com/apache/spark/blob/master/yarn/stable/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala#L562
Relative to 8G, 384 MB is too small
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