Dear All, I have few use cases for spark streaming where spark cluster consist of heterogenous machines.
Additionally, there is skew present in both the input distribution (e.g., each tuple is drawn from a zipf distribution) and the service time (e.g., service time required for each tuple comes from a zipf distribution). I want to know who spark will handle such use cases. Any help will be highly appreciated! Regards, Anis
