You are viewing a plain text version of this content. The canonical link for it is here.
Posted to yarn-dev@hadoop.apache.org by "J.Andreina (JIRA)" <ji...@apache.org> on 2014/07/17 10:14:06 UTC
[jira] [Created] (YARN-2305) When a container is in reserved state
then total cluster memory is displayed wrongly.
J.Andreina created YARN-2305:
--------------------------------
Summary: When a container is in reserved state then total cluster memory is displayed wrongly.
Key: YARN-2305
URL: https://issues.apache.org/jira/browse/YARN-2305
Project: Hadoop YARN
Issue Type: Bug
Components: resourcemanager
Affects Versions: 2.4.1
Reporter: J.Andreina
ENV Details:
=========
3 queues : a(50%),b(25%),c(25%) ---> All max utilization is set to 100
2 Node cluster with total memory as 16GB
TestSteps:
=========
Execute following 3 jobs with different memory configurations for Map , reducer and AM task
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023)
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025)
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62
Issue
=====
when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB)
--
This message was sent by Atlassian JIRA
(v6.2#6252)