yes, I did configured.
On Aug 19, 2016 7:22 PM, "Rohith Sharma K S"
wrote:
> Hi
>
> From below discussion and AM logs, I see that AM container has launched
> but not able to connect to RM.
>
> This looks like your configuration issue. Would you check your job.xml jar
>
Hi
From below discussion and AM logs, I see that AM container has launched but not
able to connect to RM.
This looks like your configuration issue. Would you check your job.xml jar that
does yarn.resourcemanager.scheduler.address has been configured?
Essentially, this address required by
Even if the cluster dont have enough resources it should connect to "
/0.0.0.0:8030" right? it should connect to my , not sure
why its trying to connect to 0.0.0.0:8030.
I have verified the config and i removed traces of 0.0.0.0 still no luck.
org.apache.hadoop.yarn.client.RMProxy: Connecting
When i submit a job using yarn its seems working only with oozie its
failing i guess, not sure what is missing.
yarn jar
/uap/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar pi
20 1000
Number of Maps = 20
Samples per Map = 1000
.
.
.
Job Finished in 19.622 seconds
Estimated
Hello Jin,
1. I believe there may have been a recent bug around slow DataNode upgrade
times, but I can’t find the relevant JIRA issue right now. Perhaps someone
else on the list remembers. HDFS-8791 is relevant to performance of the block
layout on disk in versions 2.6.0 and later, but I
That was the idea :)
Thanks for the update
On Friday, 19 August 2016, Madhav Sharan wrote:
> Thanks for your suggestion Daniel. I was already using SequenceFile but my
> format was poor. I was storing file contents as Text in my SeqFile,
>
> So all my map jobs did repeated
Hello Rakesh,
Thank you for your help. I will try to configure a cluster and will respond
later about it.
Best regards,
Alexandr
On Fri, Aug 19, 2016 at 6:39 AM, Rakesh Radhakrishnan
wrote:
> Yes, it is possible is to enable HA mode and Automatic Failover in
> a federated