Thanks Yi Tian!
Yes, I use fair scheduler.
In resource manager log. I see the container's start shell:
/home/export/Data/hadoop/tmp/nm-local-dir/usercache/hpc/appcache/application_1411693809133_0002/container_1411693809133_0002_01_000002/launch_container.sh
In the end:
exec /bin/bash -c "$JAVA_HOME/bin/java -server
-XX:OnOutOfMemoryError='kill %p' *-Xms4096m -Xmx4096m* -verbose:gc
-XX:+PrintGCDetails -XX:+PrintGCTimeStamps -Djava.io.tmpdir=$PWD/tmp
org.apache.spark.executor.CoarseGrainedExecutorBackend
akka.tcp://spark@node99:6177/user/CoarseGrainedScheduler 2 node99 4 1>
/home/export/Logs/yarn/application_1411693809133_0002/container_1411693809133_0002_01_000002/stdout
2>
/home/export/Logs/yarn/application_1411693809133_0002/container_1411693809133_0002_01_000002/stderr"
the container's maximum memory is *4096m*
And I see the source of ContainerImpl.java. The monitor print "5G" is from:
long pmemBytes = *container.getResource().getMemory()* * 1024 * 1024L;
The print method when value=L then print "5G".
So only *container.getResource().getMemory()=**5120* can print "5G"
I don't know where is the 1024K from!!!
在 2014年09月25日 21:43, Yi Tian 写道:
You should check the log of resource manager when you submit this job
to yarn.
It will be recorded how many resources your spark application actually
asked from resource manager for each container.
Did you use fair scheduler?
there is a config parameter of fair scheduler
“yarn.scheduler.increment-allocation-mb”, default is 1024
it means if you ask 4097mb memory for a container, the resource
manager will create a container which use 5120mb memory.
But I can’t figure out where 5GB come from.
Maybe there are some codes which mistake 1024 and 1000?
Best Regards,
Yi Tian
tianyi.asiai...@gmail.com <mailto:tianyi.asiai...@gmail.com>
On Sep 25, 2014, at 18:41, 王晓雨 <wangxiao...@jd.com
<mailto:wangxiao...@jd.com>> wrote:
My yarn-site.xml config:
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>16384</value>
</property>
ENV:
Spark:0.9.0-incubating
Hadoop:2.3.0
I run spark task on Yarn. I see the log in Nodemanager:
2014-09-25 17:43:34,141 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
Memory usage of ProcessTree 549 for container-id
container_1411635522254_0001_01_000005: *4.5 GB**of 5 GB* physical
memory used; 5.0 GB of 10.5 GB virtual memory used
2014-09-25 17:43:37,171 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
Memory usage of ProcessTree 549 for container-id
container_1411635522254_0001_01_000005: *4.5 GB**of 5 GB* physical
memory used; 5.0 GB of 10.5 GB virtual memory used
2014-09-25 17:43:40,210 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
Memory usage of ProcessTree 549 for container-id
container_1411635522254_0001_01_000005: *4.5 GB**of 5 GB* physical
memory used; 5.0 GB of 10.5 GB virtual memory used
2014-09-25 17:43:43,239 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
Memory usage of ProcessTree 549 for container-id
container_1411635522254_0001_01_000005: *4.5 GB of 5 GB* physical
memory used; 5.0 GB of 10.5 GB virtual memory used
2014-09-25 17:43:46,269 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
Memory usage of ProcessTree 549 for container-id
container_1411635522254_0001_01_000005: *4.5 GB of 5 GB* physical
memory used; 5.0 GB of 10.5 GB virtual memory used
My task parameter is :
--num-workers 4 --master-memory 2g --worker-memory 4g --worker-cores 4
In myopinion "--worker-memory 4g" 4g is the maximum memory for
container .
But why "4.5 GB of 5 GB physical memory used" in the log?
And where to config "5G" maxinum memory for container?
--
WangXiaoyu
-------------------------------------------------------------------------------------
