Hello all, At first, I have a question posted on http://stackoverflow.com/questions/37732978/join-two-streams-using-a-count-based-window . I am re-posting this on the mailing list in case some of you are not on SO.
In addition, I would like to know what is the difference between Flink and other Streaming engines on data-granularity transport and processing. To be more precise, I am aware that Storm sends tuples using Netty (by filling up queues) and a Bolt's logic is executed per tuple. Spark, employs micro-batches to simulate streaming and (I am not entirely certain) each task performs processing on a micro-batch. What about Flink? How are tuples transferred and processed. Any explanation and or article/blog-post/link is more than welcome. Thanks -- Nikos R. Katsipoulakis, Department of Computer Science University of Pittsburgh
