hi @ezhuravlev Thank you for your reply, very appreciated!
I can confirm that by adding real business logic to Jobs it's actually scales horizontally quite well and by adding more nodes the whole task finishes just faster. One more think, which I'm looking now on is running tasks with help of MapReduce API in collocated fashion. As far as I understood from documentation ( Collocate Computing and Data <https://apacheignite.readme.io/docs/collocate-compute-and-data> ) this is possible only by calling affinityCall(...) or affinityRun(...), which take IgniteCallable or IgniteRunnable. I'd like to create a ComputeTask (ComputeTaskAdapter or ComputeTaskSplitAdapter), which would spawn ComputeJob with affinity key (let's say in constructor) and execute them on node with co-located data. So is this possible to do such somehow? I couldn't find for now how it can be done in elegant way... Thank you in advance. -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
