Hi Jun, Spark currently doesn't have that feature, i.e. it aims for a fixed number of executors per application regardless of resource usage, but it's definitely worth considering. We could start more executors when we have a large backlog of tasks and shut some down when we're underutilized.
The fine-grained task scheduling is blocked on work from YARN that will allow changing the CPU allocation of a YARN container dynamically. The relevant JIRA for this dependency is YARN-1197, though YARN-1488 might serve this purpose as well if it comes first. -Sandy On Thu, Aug 7, 2014 at 10:56 PM, Jun Feng Liu <[email protected]> wrote: > Thanks for echo on this. Possible to adjust resource based on container > numbers? e.g to allocate more container when driver need more resources and > return some resource by delete some container when parts of container > already have enough cores/memory > > Best Regards > > > *Jun Feng Liu* > > IBM China Systems & Technology Laboratory in Beijing > > ------------------------------ > [image: 2D barcode - encoded with contact information] > *Phone: *86-10-82452683 > * E-mail:* *[email protected]* <[email protected]> > [image: IBM] > > BLD 28,ZGC Software Park > No.8 Rd.Dong Bei Wang West, Dist.Haidian Beijing 100193 > China > > > > > > *Patrick Wendell <[email protected] <[email protected]>>* > > 2014/08/08 13:10 > To > Jun Feng Liu/China/IBM@IBMCN, > cc > "[email protected]" <[email protected]> > Subject > Re: Fine-Grained Scheduler on Yarn > > > > > Hey sorry about that - what I said was the opposite of what is true. > > The current YARN mode is equivalent to "coarse grained" mesos. There is no > fine-grained scheduling on YARN at the moment. I'm not sure YARN supports > scheduling in units other than containers. Fine-grained scheduling requires > scheduling at the granularity of individual cores. > > > On Thu, Aug 7, 2014 at 9:43 PM, Patrick Wendell <*[email protected]* > <[email protected]>> wrote: > The current YARN is equivalent to what is called "fine grained" mode in > Mesos. The scheduling of tasks happens totally inside of the Spark driver. > > > On Thu, Aug 7, 2014 at 7:50 PM, Jun Feng Liu <*[email protected]* > <[email protected]>> wrote: > Any one know the answer? > Best Regards > > > * Jun Feng Liu* > > IBM China Systems & Technology Laboratory in Beijing > > ------------------------------ > *Phone: *86-10-82452683 > * E-mail:* *[email protected]* <[email protected]> > > > BLD 28,ZGC Software Park > No.8 Rd.Dong Bei Wang West, Dist.Haidian Beijing 100193 > China > > > > > *Jun Feng Liu/China/IBM* > > 2014/08/07 15:37 > > To > *[email protected]* <[email protected]>, > cc > Subject > Fine-Grained Scheduler on Yarn > > > > > > Hi, there > > Just aware right now Spark only support fine grained scheduler on Mesos > with MesosSchedulerBackend. The Yarn schedule sounds like only works on > coarse-grained model. Is there any plan to implement fine-grained scheduler > for YARN? Or there is any technical issue block us to do that. > > Best Regards > > > * Jun Feng Liu* > > IBM China Systems & Technology Laboratory in Beijing > > ------------------------------ > *Phone: *86-10-82452683 > * E-mail:* *[email protected]* <[email protected]> > > > BLD 28,ZGC Software Park > No.8 Rd.Dong Bei Wang West, Dist.Haidian Beijing 100193 > China > > > > > > >
