That confirms the three technologies are competing for the same space as I suspected but wasn't sure. I can focus on the APIs and not waste any unnecessary time on even looking at mesos and yarn.
Backbutton.co.uk ¯\_(ツ)_/¯ ♡۶Java♡۶RMI ♡۶ Make Use Method {MUM} makeuse.org <http://www.backbutton.co.uk> On Sat, 28 Mar 2020 at 02:07, Sean Owen <sro...@gmail.com> wrote: > Spark standalone is a resource manager like YARN and Mesos. It is > specific to Spark, and is therefore simpler, as it assumes it can take > over whole machines. > YARN and Mesos are for mediating resource usage across applications on > a cluster, which may be running more than Spark apps. > > On Fri, Mar 27, 2020 at 7:30 PM Zahid Rahman <zahidr1...@gmail.com> wrote: > > > > OK, Thanks. > > > > issue of load balancing /Clustering: > > > > I believe if I setup clustering like so : > > sbin/start-master.sh > > sbin/start-slave spark://master:port > > > > another machine > > sbin/start-slave spark://master:port > > > > Does yarn and mesos do anything different than that ? > > > > The spark clustering setup and yarn and mesos, are they competing > technologies for the same space / functionality ? > > >