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In our case, approximately 50-100 topics, but the number will increase in the future.
We collect all DML changes from all database schemas and their tables into one topic. We need to split the messages into multiple topics per schema... so it's highly dynamic.
Is it possible to dynamically set output topic of StreamingDataFrame pipeline? I need the output topic name to be derived from message content.
Something like this:
sdf.to_topic(lambda value: str(value["target_topic"]))
Native Kafka streams API supports it and its the last thing that keeps me away from using this library. https://developer.confluent.io/confluent-tutorials/dynamic-output-topic/kstreams/
Thank you!
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