hi Harsh,
yes,
I‘ve build native -Pnative successfully.
I also used -Drequire.fuse=true. but I just found contrib/fuse directory is
empty. so I asked this question, Thanks Harsh.
--Send from my Sony mobile.
On Jun 9, 2013 9:09 PM, "Harsh J" wrote:
> Hi Azuryy,
>
> Are you not finding it compil
Are there any specs for the JSON schema?
On Thu, Jun 6, 2013 at 9:49 AM, MARCOS MEDRADO RUBINELLI <
marc...@buscapecompany.com> wrote:
> Brian,
>
> If you have access to the web UI, you can get those metrics in JSON from
> the JMXJsonServlet. Try hitting
> http://namenode_hostname:50070/jmx?qry
Brian,
If you have access to the web UI, you can get those metrics in JSON from the
JMXJsonServlet. Try hitting http://namenode_hostname:50070/jmx?qry=Hadoop:* and
http://jobtracker_v1_hostname:50030/jmx?qry=hadoop:*
It isn't as extensive as other options, but if you just need a snapshot of nod
Hi Azuryy,
Are you not finding it compiled with the global native compile option?
Do you face a specific error?
Per the pom.xml of hadoop-hdfs, it will build fuse-dfs if native
profile is turned on, and you can assert for fuse-requirement with
-Drequire.fuse=true.
On Sun, Jun 9, 2013 at 11:03 AM
Hi Sam,
> - How to know the container number? Why you say it will be 22 containers due
> to a 22 GB memory?
The MR2's default configuration requests 1 GB resource each for Map
and Reduce containers. It requests 1.5 GB for the AM container that
runs the job, additionally. This is tunable using th
Hi Harsh,
According to above suggestions, I removed the duplication of setting, and
reduce the value of 'yarn.nodemanager.resource.cpu-cores', '
yarn.nodemanager.vcores-pcores-ratio' and '
yarn.nodemanager.resource.memory-mb' to 16, 8 and 12000. Ant then, the
efficiency improved about 18%. I have
