hadoop-common-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From fab wol <darkwoll...@gmail.com>
Subject Re: Multi-Cluster Setup
Date Thu, 03 Jul 2014 15:36:59 GMT
Hey Nitin,

I'm not talking about concept-wise. I'm takling about how to actually do it
technically and how to set it up. Imagine this: I have two clusters, both
running fine and they are both (setup-wise) the same, besides that one has
way more tasktrackers/Nodemanagers than the other one. Now I want to
incorporate some data from the small cluster in the analysis of the big
cluster. How could i access the data natively (Just giving the input job
another HDFS folder)? In MapR I configure the specified file and then i
have another folder in the MapRFS with all the content from the other
cluster ... Could i somehow specify one Namenode to lookup another Namenode
and incorporate all the uncommon files?


2014-07-03 17:09 GMT+02:00 Nitin Pawar <nitinpawar432@gmail.com>:

> Nothing is stopping you to implement cluster the way you want.
> You can have storage only nodes for your HDFS and do not run tasktrackers
> on them.
> Start bunch of machines with High RAM and high CPUs but no storage.
> Only thing to worry then would be network bandwidth to carry data from
> hdfs to tasks and back to hdfs.
> On Thu, Jul 3, 2014 at 8:29 PM, fab wol <darkwolli32@gmail.com> wrote:
>> hey everyone,
>> MapR is offering the possibility to acces from one cluster (e.g. a
>> compute only cluster without much storage capabilities) another cluster's
>> HDFS/MapRFS (see http://doc.mapr.com/display/MapR/mapr-clusters.conf).
>> In times of Hadoop-as-a-Service this becomes very interesting. Is this
>> somehow possible with the "normal" Hadoop Distributions possible (CDH and
>> HDP, I'm looking at you ;- ) ) or with even without this help from those
>> distributors? Any Hacks and Tricks or even specific Functions are welcome.
>> If this is not possible, has anyone issued this as a Ticket or
>> something?`Ticket Number forwarding is also appreciated ...
>> Cheers
>> Wolli
> --
> Nitin Pawar

View raw message