[ 
https://issues.apache.org/jira/browse/TEZ-1986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14285847#comment-14285847
 ] 

Hitesh Shah commented on TEZ-1986:
----------------------------------

This is intentional. yarn-tez is effectively a mode to run MR jobs with the tez 
execution engine and it should respect MR settings. 

> Unable to increase am/task container size for MR job in yarn-tez
> ----------------------------------------------------------------
>
>                 Key: TEZ-1986
>                 URL: https://issues.apache.org/jira/browse/TEZ-1986
>             Project: Apache Tez
>          Issue Type: Bug
>            Reporter: Rajesh Balamohan
>
> Tried to run a MR job with "-Dtez.am.resource.memory.mb=8192 
> -Dtez.task.resource.memory.mb=8192 -Dmapreduce.framework.name=yarn-tez 
> -Dmapreduce.map.resource.mb=8192 -Dmapreduce.reduce.resource.mb=8192".
> >>>
> DAGAppMaster:
> java -server -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN 
> -server -Xmx7168m -Djava.net.preferIPv4Stack=true -XX:+PrintGCDetails 
> -verbose:gc -XX:+PrintGCTimeStamps 
> -Dlog4j.configuratorClass=org.apache.tez.common.TezLog4jConfigurator 
> -Dlog4j.configuration=tez-container-log4j.properties 
> -Dyarn.app.container.log.dir=/grid/5/cluster/yarn/logs/application_1421164610335_0326/container_1421164610335_0326_01_000001
>  -Dtez.root.logger=INFO,CLA -Dsun.nio.ch.bugLevel= 
> org.apache.tez.dag.app.DAGAppMaster
> Tasks:
> java -server -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN 
> -XX:+PrintGCDetails -verbose:gc -XX:+PrintGCTimeStamps -XX:+UseNUMA 
> -XX:+UseParallelGC -Djava.net.preferIPv4Stack=true 
> -Dhadoop.metrics.log.level=WARN -server -Xmx3584m 
> -Djava.net.preferIPv4Stack=true -XX:+UseNUMA -XX:+UseParallelGC 
> -Dlog4j.configuratorClass=org.apache.tez.common.TezLog4jConfigurator 
> -Dlog4j.configuration=tez-container-log4j.properties
> >>>
> These values seem to be from "mapred.map.child.java.opts" and 
> "mapred.reduce.child.java.opts" instead of (8192 m * 0.8 = 6553m).  



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to