Hello So I've been using a Streams app to join two input topics... the messages have a certain order... but I have seen the messages on the output topic arriving with a different ordering .... Even before, when doing a map/flatmap operation are processed with different ordering.
Example: Stream 1: A---B---C---D Stream 2: A--B--C--D Output topic: BB---A---AA---CC---DD I need it to be A--AA--BB---CC---DD Is there a way that Kafka Streams guarantees the order of messages in the output topic? I had heard when doing a join, the timestamp of the generated message is taken from the message triggering the join or the biggest timestamp of the two. I don't know if this is the case, if it's done... is that an automatic process or do I need to set the timestamp somewhere? Another option I have read about is doing something like this: https://dzone.com/articles/how-to-order-streamed-dataframes where the author is doing some kind of sorting using an AbstractProcessor, which seems like a pretty old article. But right I guess I could use a Transformer or a Processor Any guidance is really appreciated! many thanks - Miguel
