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https://issues.apache.org/jira/browse/KAFKA-15354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17756637#comment-17756637
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Deng Ziming commented on KAFKA-15354:
-------------------------------------
[~sagarrao] Yes, we are using a different way to assign leader, so the question
here is whether we should use the same algorithm, or evolve the new algorithm
to be consistent with the older one.
> Partition leader is not evenly distributed in kraft mode
> --------------------------------------------------------
>
> Key: KAFKA-15354
> URL: https://issues.apache.org/jira/browse/KAFKA-15354
> Project: Kafka
> Issue Type: Bug
> Reporter: Deng Ziming
> Priority: Major
>
> In StripedReplicaPlacerTest, we can create a test below to reproduce this bug.
> {code:java}
> // code placeholder
> @Test
> public void testReplicaDistribution() {
> MockRandom random = new MockRandom();
> StripedReplicaPlacer placer = new StripedReplicaPlacer(random);
> TopicAssignment assignment = place(placer, 0, 4, (short) 2, Arrays.asList(
> new UsableBroker(0, Optional.of("0"), false),
> new UsableBroker(1, Optional.of("0"), false),
> new UsableBroker(2, Optional.of("1"), false),
> new UsableBroker(3, Optional.of("1"), false)));
> System.out.println(assignment);
> } {code}
> In StripedReplicaPlacer, we only ensure leader are distributed evenly across
> racks, but we didn't ensure leader are evenly distributed across nodes. in
> the test above, we have 4 node: 1 2 3 4, and create 4 partitions but the
> leaders are 1 2 1 2. while in zk mode, this is ensured, see
> https://cwiki.apache.org/confluence/display/KAFKA/KIP-36+Rack+aware+replica+assignment
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