If your workload does not saturate a single machine, it will of course be more efficient to run within a single worker as you avoid intra-JVM communication.
As long as CPU, memory, or network of a single machine is not utilized completely, you will not benefit from multiple workers from a performance point of view. Btw: I am a not sure what you mean by "I have to create a scenario..."? On 02/12/2016 11:42 PM, Rudraneel chakraborty wrote: > Thanks. Actually i have to create a scenario where 2 worker performs > better than one worker. But in reality , topology with a single worker > performs considerably better. > > I sending csv lines to kafka (5 partitions ) and reading them from a > topology with kafka spout (parallelism hint 5) > > Any thoughts? > > On Thursday, 11 February 2016, Nathan Leung <[email protected] > <mailto:[email protected]>> wrote: > > Any situation where you require more CPU than 1 server can provide > for you - there are tuning parameters (e.g. localOrShuffleGrouping) > that you can use to reduce the amount of data sent over the network too. > > Any situation where you need to have tolerance in case of machine > failure. > > > > On Thu, Feb 11, 2016 at 2:58 PM, Rudraneel chakraborty > <[email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');>> > wrote: > > Topology param numWorkers i meant > > > On Thursday, 11 February 2016, Rudraneel chakraborty > <[email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');>> > wrote: > > More specifically , i have seen a topology performs better > if it is assigned a single worker compared to more than one > worker. > > I want a situation where a topology performs better with > more than one worker. > > And it doesnt matter if both workers are on same supervisor > or different supervisor > > On Thursday, 11 February 2016, Matthias J. Sax > <[email protected]> wrote: > > I am not sure what you mean: > > - number of worker slots per supervisor > or > - topology parameter "number of workers" > > Can you clarify? > > -Matthias > > On 02/11/2016 05:14 AM, anshu shukla wrote: > > Not like that.. But i have used workers equal to > number of cores. Each > > vm with 8 corea. > > > > On 11 Feb 2016 9:07 am, "Rudraneel chakraborty" > > <[email protected] > > <mailto:[email protected]>> wrote: > > > > more than one worker on same node ? Did u use > custom schedule r? > > because by default, the workers would be spread > throughout the cluster > > > > > > -- > Rudraneel Chakraborty > Carleton University Real Time and Distributed Systems Reserach > > > > -- > Rudraneel Chakraborty > Carleton University Real Time and Distributed Systems Reserach > > > > > -- > Rudraneel Chakraborty > Carleton University Real Time and Distributed Systems Reserach >
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