Github user fanyon commented on the issue: https://github.com/apache/flink/pull/3766 @gyfora Thanks for your comment. And right, your question is very good. I originally thought that the user must be sure to know all the output topic when the job is submitted, but in the real business scenario, the data may be output to the dynamically generated topic. For the requirementof generate dynamic topic, I propose to adjust the open and partition api of KafkaPartitioner as follows: 1. The open method, remove the parameter int[] partitions, and will be opend once for each partitioner public void open(int parallelInstanceId, int parallelInstances) 2. The partition method, add int[] partitions and target topic parameters public int partition(T next, byte[] serializedKey, byte[] serializedValue, String topic, int[] partitions) @gyfora @tzulitai What do you think of this? Please feel free to give any suggestions, thanks!
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