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vishal.rajan commented on YARN-6017:
This doesn't seem like a java issue as we had updated java8u25 to
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vishal.rajan commented on YARN-6017:
We are seeing a similar issue with yarn node managers. We have
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chenrongwei commented on YARN-6017:
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Thanks for Bibin A Chundatt 's answer. we used jdk 1.7u80 to run
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Bibin A Chundatt commented on YARN-6017:
[~chenrongwei]
Any update on issue after trying with new
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Bibin A Chundatt commented on YARN-6017:
[~chenrongwei]
This could be because of JDK bug. Found
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chenrongwei commented on YARN-6017:
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I think this problem is not the same with HADOOP-13362. because
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chenrongwei commented on YARN-6017:
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The [heap] shown in smaps output is not same as java heap, right.?
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Ajith S commented on YARN-6017:
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To clear my understanding, as per the smaps and jmap output, it looks like
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Junping Du commented on YARN-6017:
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As my suggestion in YARN-6062 also, can we use MAT or similar tools to
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chenrongwei commented on YARN-6017:
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we need relative long time to obsever this problem.
> node manager
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chenrongwei commented on YARN-6017:
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we haven't try another jvm version as currently. but we had set the
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Rajesh Balamohan commented on YARN-6017:
No. from JVM's accounting perspective it is still at 2048
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chenrongwei commented on YARN-6017:
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you are right. but native memory should be limited by MaxDirectSize
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Rajesh Balamohan commented on YARN-6017:
"10193716 in [heap]" in smaps indicates that it is from
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chenrongwei commented on YARN-6017:
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thank you for reply, i already post,please check the attach file.
>
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chenrongwei commented on YARN-6017:
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we hadn't set "yarn.nodemanager.recovery.enabled" in our config
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Rajesh Balamohan commented on YARN-6017:
Usage seems to be from native side. Can you also post
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Rohith Sharma K S commented on YARN-6017:
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Is this NodeManager running with work preserving restart
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chenrongwei commented on YARN-6017:
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$ jmap -heap 31169
Attaching to process ID 31169, please wait...
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Rajesh Balamohan commented on YARN-6017:
Can you share the details of
{noformat}
jmap -heap
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