Hi, Working on a small MVP and keep running into a dead end when it comes to reducing data.
Began using ksql, which worked very well to start with. Basically, I have two streams imported via a HTTP source connector. These streams are then merged to a single stream and some extra information from the original streams are joined to complete the data. The last step would then be to reduce the information as the original streams contains overlapping information. The full reduce should be based on 3 or 4 different fields and this is where I keep failing. Right now, I do a simple GROUP BY field1, field2 and that works as a proof-of-concept but needs to be more complex. I posted on Stack overflow last week, where I also include a workflow to make things a bit easier to understand. https://stackoverflow.com/questions/70834825/kafka-ksql-stuck-in-reducing-stream-table Regards, Robin
