I have done this with VM's but I would not generally recommend it.  Without
VM's you will have a pretty ugly configuration issue because Hadoop usually
assumes it owns the machine.

Besides, this is a seriously square peg into a round hole kind of problem
here.  Hadoop (map-reduce) was designed so that you could use several little
machines instead of one big one.  It just isn't going to work well on a
single computer.

On Fri, Jun 24, 2011 at 6:49 PM, XiaoboGu <[email protected]> wrote:

> Do you have any experience  in running multiple data nodes and task
> trackers on a single SMP server.
>
> > -----Original Message-----
> > From: Ted Dunning [mailto:[email protected]]
> > Sent: Saturday, June 25, 2011 9:26 AM
> > To: [email protected]
> > Cc: [email protected]
> > Subject: Re: Can all the algorithms in Mahout be run locally without a
> Hadoop cluster.
> >
> > Pretty big.  SHould scream for local classifier learning.
> >
> > Local Hadoop should run pretty fast as well.
> >
> > On Fri, Jun 24, 2011 at 5:54 PM, XiaoboGu <[email protected]>
> wrote:
> >
> > > 32Core, 256G RAM
> > >
> > > > -----Original Message-----
> > > > From: Ted Dunning [mailto:[email protected]]
> > > > Sent: Saturday, June 25, 2011 1:37 AM
> > > > To: [email protected]
> > > > Cc: [email protected]
> > > > Subject: Re: Can all the algorithms in Mahout be run locally without
> a
> > > Hadoop cluster.
> > > >
> > > > Big iron is fine for some of the classifier stuff, but throughput per
> $
> > > can
> > > > be higher for other algorithms with a cluster of smaller machines.
> > > >
> > > > How big a machine are you talking about?  Even relatively small
> machines
> > > are
> > > > pretty massive any more.  8 core = 16 hyper-thread machines with 48GB
> > > seem
> > > > to be not even very impressive any more.
> > > >
> > > > On Fri, Jun 24, 2011 at 1:47 AM, XiaoboGu <[email protected]>
> > > wrote:
> > > >
> > > > > We will put a big SMP server to deploy Mahout.
> > > > >
> > > > > Regards,
> > > > >
> > > > > Xiaobo Gu
> > > > >
> > > > >
> > >
> > >
>
>

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