If you have enough cores/resources, run them separately depending on your use case.
On Thursday 15 December 2016, Divya Gehlot <divya.htco...@gmail.com> wrote: > It depends on the use case ... > Spark always depends on the resource availability . > As long as you have resource to acoomodate ,can run as many spark/spark > streaming application. > > > Thanks, > Divya > > On 15 December 2016 at 08:42, shyla deshpande <deshpandesh...@gmail.com > <javascript:_e(%7B%7D,'cvml','deshpandesh...@gmail.com');>> wrote: > >> How many Spark streaming applications can be run at a time on a Spark >> cluster? >> >> Is it better to have 1 spark streaming application to consume all the >> Kafka topics or have multiple streaming applications when possible to keep >> it simple? >> >> Thanks >> >> >
