Hi Bruno, Tried there as well 😉
I’ve also looked at using Kafka Streams directly, but can’t find any good examples. Mvh, Robin From: Bruno Cadonna <[email protected]> Date: Wednesday, 2 February 2022 at 11:31 To: [email protected] <[email protected]> Subject: Re: Reducing issue [You don't often get email from [email protected]. Learn why this is important at http://aka.ms/LearnAboutSenderIdentification.]<http://aka.ms/LearnAboutSenderIdentification.%5d> Hi Robin, since this seems to be a ksql question, you will more likely get an answer here: https://forum.confluent.io/c/ksqldb Best, Bruno On 01.02.22 10:03, Robin Helgelin wrote: > 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 >
