I think i need to re-frame the question a bit. Yes CS supports multiple
jobs in parallel but of different users. If i am submitting 3 different
jobs for a same user at the same time, they  are always executed in a FIFO
manner.
Am i correct?

On Tue, Mar 5, 2013 at 8:55 PM, Harsh J <ha...@cloudera.com> wrote:

> The CS does support running jobs in parallel. Are you observing just
> the UI or are also noticing a FIFO behavior in logs where assignments
> can be seen with timestamps?
>
> On Wed, Mar 6, 2013 at 9:03 AM, Jagmohan Chauhan
> <simplefunduare .mn...@gmail.com <simplefundumn...@gmail.com>> wrote:
> > Hi All
> >
> > Can someone please reply to my queries?
> >
> > On Sun, Mar 3, 2013 at 5:47 PM, Jagmohan Chauhan <
> simplefundumn...@gmail.com
> >> wrote:
> >
> >> Thanks Harsh.
> >>
> >> I have a few more questions.
> >>
> >> Q1: I found it in my experiments using CS that for any user , its next
> job
> >> does not start until its current one is finished. Is it true and are
> there
> >> any exceptions and if true then why is it so?  I I did not find any such
> >> condition in the implementation of CS.
> >>
> >> Q2: The concept of reserved slots  is true only if speculative execution
> >> is on. Am i correct ? If yes,then the code dealing with reserved slots
> wont
> >> be executed if speculative execution is off?
> >>
> >> PS: I am working on MRv1.
> >>
> >>
> >> On Sun, Mar 3, 2013 at 2:41 AM, Harsh J <ha...@cloudera.com> wrote:
> >>
> >>> On Sun, Mar 3, 2013 at 1:41 PM, Jagmohan Chauhan <
> >>> simplefundumn...@gmail.com
> >>> > wrote:
> >>>
> >>> >  Hi
> >>> >
> >>> > I am going through the Capacity Scheduler implementation. There is
> one
> >>> > thing i did not understand clearly.
> >>> >
> >>>
> >>> Are you reading the YARN CapacityScheduler or the older, MRv1 one? I'd
> >>> suggest reading the newer one for any implementation or research goals,
> >>> for
> >>> it to be more current and future-applicable.
> >>>
> >>>
> >>> > 1. Does the o ff-switch task refers to a task in which data has to be
> >>> > fetched over the network. It means its not node-local ?
> >>> >
> >>>
> >>> Off-switch would imply off-rack, i.e. not node local, nor rack-local.
> >>>
> >>>
> >>> > 2. Does off-switch task  includes only the tasks for which map input
> >>> has to
> >>> > be fetched from a node on a different rack across the switch or it
> also
> >>> > includes task where data has to be fetched from another node on same
> >>> rack
> >>> > on same switch?
> >>> >
> >>>
> >>> A task's input split is generally supposed to define all locations of
> >>> available inputs. If the CS is unable to schedule to any of those
> >>> locations, nor their racks, then it schedules an off-rack (see above)
> task
> >>> which has to pull the input from a different rack.
> >>>
> >>>
> >>> >
> >>> > --
> >>> > Thanks and Regards
> >>> > Jagmohan Chauhan
> >>> > MSc student,CS
> >>> > Univ. of Saskatchewan
> >>> > IEEE Graduate Student Member
> >>> >
> >>> > http://homepage.usask.ca/~jac735/
> >>> >
> >>>
> >>> Feel free to post any further impl. related questions! :)
> >>>
> >>> --
> >>> Harsh J
> >>>
> >>
> >>
> >>
> >> --
> >> Thanks and Regards
> >> Jagmohan Chauhan
> >> MSc student,CS
> >> Univ. of Saskatchewan
> >> IEEE Graduate Student Member
> >>
> >> http://homepage.usask.ca/~jac735/
> >>
> >
> >
> >
> > --
> > Thanks and Regards
> > Jagmohan Chauhan
> > MSc student,CS
> > Univ. of Saskatchewan
> > IEEE Graduate Student Member
> >
> > http://homepage.usask.ca/~jac735/
>
>
>
> --
> Harsh J
>



-- 
Thanks and Regards
Jagmohan Chauhan
MSc student,CS
Univ. of Saskatchewan
IEEE Graduate Student Member

http://homepage.usask.ca/~jac735/

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