-smiles- It's not nice to poke fun at people's e-mail aliases... and snickerdoodles are delicious cookies.
In all seriousness though, why is this not possible? Is there something about the MapReduce model of parallel computation that I am not understanding? Or this more of an arbitrary implementation choice made by the Hadoop framework? If so, I am curious why this is the case. What are the benefits? What I'm talking about is not uncommon for scalability studies. Is being able to specify the number of processors considered a desirable feature by developers? Just curious, of course. Regards, -SM On Mon, Sep 8, 2008 at 3:36 PM, <[EMAIL PROTECTED]> wrote: > yeah. snickerdoodle. really. > > > > I see.. so if I have a cluster with n nodes, there is no way for me to > > have > > it spawn on just 2 of those nodes, or just one of those nodes? And > > furthermore, there is no way for me to have it spawn on just a subset of > > the > > processors? Or am I misunderstanding? > > > > Also, when you say "specify the number of tasks for each node" are you > > referring to specifying the number of mappers and reducers I can spawn on > > each node? > > > > -SM > > > > On Sun, Sep 7, 2008 at 8:29 PM, Mafish Liu <[EMAIL PROTECTED]> wrote: > > > >> On Mon, Sep 8, 2008 at 2:25 AM, Sandy <[EMAIL PROTECTED]> > wrote: > >> > >> > Hi, > >> > > >> > This may be a silly question, but I'm strangely having trouble finding > >> an > >> > answer for it (perhaps I'm looking in the wrong places?). > >> > > >> > Suppose I have a cluster with n nodes each with m processors. > >> > > >> > I wish to test the performance of, say, the wordcount program on k > >> > processors, where k is varied from k = 1 ... nm. > >> > >> > >> You can specify the number of tasks for each node in your > >> hadoop-site.xml > >> file. > >> So you can get k varied from k = n, 2*n....m*n instead of k = 1...nm. > >> > >> > >> > How would I do this? I'm having trouble finding the proper command > >> line > >> > option in the commands manual ( > >> > http://hadoop.apache.org/core/docs/current/commands_manual.html) > >> > > >> > > >> > > >> > Thank you very much for you time. > >> > > >> > -SM > >> > > >> > >> > >> > >> -- > >> [EMAIL PROTECTED] > >> Institute of Computing Technology, Chinese Academy of Sciences, Beijing. > >> > > > > >
