mxm opened a new pull request, #1030:
URL: https://github.com/apache/flink-kubernetes-operator/pull/1030

   When using the DynamicKafkaSink, topics can be spread across multiple 
clusters. This used to work fine, but a regression has been added which 
considers partitions across different clusters to be identical. This limits the 
scale out of the source operator.
   
   Here is an example:
   
   ```
   
"1.Source__Kafka_Source_(testTopic).kafkaCluster.my-cluster-1.KafkaSourceReader.topic.testTopic.partition.0.currentOffset",
   
"1.Source__Kafka_Source_(testTopic).kafkaCluster.my-cluster-2.KafkaSourceReader.topic.testTopic.partition.0.currentOffset"
   ```
   
   Those would result be treated as one partition, but there are two partitions 
from separate Kafka clusters.


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