Hi Stefan, Could i use "Reinterpreting a pre-partitioned data stream as keyed stream" feature for this?
On Wed, 9 Jan 2019 at 17:50, Stefan Richter <s.rich...@da-platform.com> wrote: > Hi, > > I think your expectation about windowAll is wrong, from the method > documentation: “Note: This operation is inherently non-parallel since all > elements have to pass through the same operator instance” and I also cannot > think of a way in which the windowing API would support your use case > without a shuffle. You could probably build the functionality by hand > through, but I guess this is not quite what you want. > > Best, > Stefan > > > On 9. Jan 2019, at 13:43, CPC <acha...@gmail.com> wrote: > > > > Hi all, > > > > In our implementation,we are consuming from kafka and calculating > distinct with hyperloglog. We are using windowAll function with a custom > AggregateFunction but flink runtime shows a little bit unexpected behavior > at runtime. Our sources running with parallelism 4 and i expect add > function to run after source calculate partial results and at the end of > the window i expect it to send 4 hll object to single operator to merge > there(merge function). Instead, it sends all data to single instance and > call add function there. > > > > Is here any way to make flink behave like this? I mean calculate partial > results after consuming from kafka with paralelism of sources without > shuffling(so some part of the calculation can be calculated in parallel) > and merge those partial results with a merge function? > > > > Thank you in advance... > >
