Hi Jason,
Mehmet said is exactly correct ,without reducers we cannot
increase performance please you can add mappers and reducers in any
processing data you can get output and performance is good.
Thanks & Regards,
Ramesh.Narasingu
On Tue, Sep 11, 2012 at 9:31 AM, Mehmet Tepedelenlioglu <
mehmets...@gmail.com> wrote:
> If you have n processes to evaluate, make a reducer that calls the process
> i when it receives key i, 1<=i<=n. Either replicate the data for the n
> reducers, or cache it for it to be read on the reducer side. The reducers
> will output the process id i and the performance.
>
>
> On Sep 10, 2012, at 8:25 PM, Jason Yang wrote:
>
> > Hi, all
> >
> > I've got a question about how to make different mappers execute
> different processing on a same data?
> >
> > Here is my scenario:
> > I got to process a data, however, there multiple choices to process this
> data and I have no idea which one is better, so I was thinking that maybe I
> could execute multiple mappers, in which different processing solution is
> applied, and eventually the best one is chosen according to some evaluation
> functions.
> >
> > But I'm not sure whether this could be done in MapReduce.
> >
> > Any help would be appreciated.
> >
> > --
> > YANG, Lin
> >
>
>
