Guys,
I was able to fix this issue but trail and error not sure which property
made it work :) but its working and i have to use 8032 as jobtracker. I
also restarted all the components before i was only restarting nodemanager
and resource manager after property update.
You get this error if you
Thank you all, I have updated my oozie job.properties to use 8030 and now i
am getting below error
2016-08-22 17:22:02,893 INFO
org.apache.hadoop.yarn.server.resourcemanager.ResourceTrackerService:
NodeManager from node slave03(cmPort: 40511 httpPort: 8042) registered with
capability:
HI Ram
RM logs looks fine and as per config it looks like RM is running on 8030
itself.
I am not very sure about the oozie end config which you mentioned. I
suggest you could check the config end more and debug there.
Also will let other community folks to pitch in if they have some other
any thoughts from the logs and config I have shared?
On Aug 21, 2016 8:32 AM, "rammohan ganapavarapu"
wrote:
> so in job.properties what is the jobtracker property, is it RM ip: port or
> scheduler port which is 8030, if I use 8030 I am getting unknown protocol
> proto
so in job.properties what is the jobtracker property, is it RM ip: port or
scheduler port which is 8030, if I use 8030 I am getting unknown protocol
proto buffer error.
On Aug 21, 2016 7:37 AM, "Sunil Govind" wrote:
> Hi.
>
> It seems its an oozie issue. From conf, RM
Hi.
It seems its an oozie issue. From conf, RM scheduler is running at port
8030.
But your job.properties is taking 8032. I suggest you could double confirm
your oozie configuration and see the configurations are intact to contact
RM. Sharing a link also
Hi Ram
>From the console log, as Rohith said, AM is looking for AM at 8030. So pls
confirm the RM port once.
Could you please share AM and RM logs.
Thanks
Sunil
On Sat, Aug 20, 2016 at 10:36 AM rammohan ganapavarapu <
rammohanga...@gmail.com> wrote:
> yes, I did configured.
>
> On Aug 19, 2016
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
Do you know what properties to tune?
Thanks,
Ram
On Thu, Aug 18, 2016 at 9:11 PM, tkg_cangkul wrote:
> i think that's because you don't have enough resource. u can tune your
> cluster config to maximize your resource.
>
>
> On 19/08/16 11:03, rammohan ganapavarapu
i think that's because you don't have enough resource. u can tune your
cluster config to maximize your resource.
On 19/08/16 11:03, rammohan ganapavarapu wrote:
I dont see any thing odd except this not sure if i have to worry about
it or not.
2016-08-19 03:29:26,621 INFO [main]
maybe u can check the logs from port 8088 on your browser. that was RM
UI. just choose your job id and then check the logs.
On 19/08/16 10:14, rammohan ganapavarapu wrote:
Sunil,
Thanks you for your input, below are my server metrics for RM. Also
attached RM UI for capacity scheduler
Hi
It could be because of many of reasons. Also I am not sure about which
scheduler your are using, pls share more details such as RM log etc.
I could point out few reasons
- Such as "Not enough resource is cluster" can cause this
- If using Capacity Scheduler, if queue capacity is maxed out,
Hi,
When i submit a MR job, i am getting this from AM UI but it never get
finished, what am i missing ?
Thanks,
Ram
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