[jira] [Created] (KAFKA-13764) Potential improvements for Connect incremental rebalancing logic

["Chris Egerton (Jira)" <ji...@apache.org>]

Chris Egerton created KAFKA-13764:
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             Summary: Potential improvements for Connect incremental rebalancing logic
                 Key: KAFKA-13764
                 URL: https://issues.apache.org/jira/browse/KAFKA-13764
             Project: Kafka
          Issue Type: Improvement
          Components: KafkaConnect
            Reporter: Chris Egerton
            Assignee: Chris Egerton


There are a few small changes that we might make to the incremental rebalancing logic for Kafka Connect to improve distribution of connectors and tasks across a cluster and address potential bugs:
 # During assignment, assign new connectors and tasks across the cluster before calculating revocations that may be necessary in order to balance the cluster. This way, we can potentially skip a round of revocation by using newly-created connectors and tasks to balance out the cluster.
 # Perform connector and task revocation in more cases, such as when one or more connectors are reconfigured to use fewer tasks, which can possibly lead to an imbalanced cluster.
 # Fix [this line|https://github.com/apache/kafka/blob/06ca4850c5b2b12e972f48e03fe4f9c1032f9a3e/connect/runtime/src/main/java/org/apache/kafka/connect/runtime/distributed/IncrementalCooperativeAssignor.java#L248] to use the same aggregation logic that's used [here|https://github.com/apache/kafka/blob/06ca4850c5b2b12e972f48e03fe4f9c1032f9a3e/connect/runtime/src/main/java/org/apache/kafka/connect/runtime/distributed/IncrementalCooperativeAssignor.java#L273-L281] in order to avoid overwriting map values when they should be combined instead.



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