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David Jacot commented on KAFKA-13435: ------------------------------------- I have put a bit more thoughts into this and it seems that we could (partially) resolve this issue with the following PR: https://github.com/apache/kafka/pull/11559. The main idea is to return to the re-joining leaders all the subscriptions such that it can re-compute the assignment and initialize its state. As the group is Stable, the new assignment is ignored by the group coordinator. This allow the leader to detect future metadata changes and trigger a rebalance if needed. However, it does not work if the new partitions were created while the leader was down because the new leader will directly have the newest metadata with the new partitions when it starts up. To circumvent this, the group coordinator could compare the new compute assignment with the current one and trigger a rebalance if they differ. This would rely on the assumption that the assignor is deterministic to avoid triggering an unnecessary rebalance. I am not sure if this is always true. What do you guys think? > Group won't consume partitions added after static member restart > ---------------------------------------------------------------- > > Key: KAFKA-13435 > URL: https://issues.apache.org/jira/browse/KAFKA-13435 > Project: Kafka > Issue Type: Bug > Components: consumer > Affects Versions: 3.0.0 > Reporter: Ryan Leslie > Assignee: David Jacot > Priority: Critical > > When using consumer groups with static membership, if the consumer marked as > leader has restarted, then metadata changes such as partition increase are > not triggering expected rebalances. > To reproduce this issue, simply: > # Create a static consumer subscribed to a single topic > # Close the consumer and create a new one with the same group instance id > # Increase partitions for the topic > # Observe that no rebalance occurs and the new partitions are not assigned > I have only tested this in 2.7, but it may apply to newer versions as well. > h3. Analysis > In {_}ConsumerCoordinator{_}, one responsibility of the leader consumer is to > track metadata and trigger a rebalance if there are changes such as new > partitions added: > [https://github.com/apache/kafka/blob/43bcc5682da82a602a4c0a000dc7433d0507b450/clients/src/main/java/org/apache/kafka/clients/consumer/internals/ConsumerCoordinator.java#L793] > {code:java} > if (assignmentSnapshot != null && > !assignmentSnapshot.matches(metadataSnapshot)) { > ... > requestRejoinIfNecessary(reason); > return true; > } > {code} > Note thatĀ _assignmentSnapshot_ is currently only set if the consumer is the > leader: > [https://github.com/apache/kafka/blob/43bcc5682da82a602a4c0a000dc7433d0507b450/clients/src/main/java/org/apache/kafka/clients/consumer/internals/ConsumerCoordinator.java#L353] > {code:java} > // Only the leader is responsible for monitoring for metadata changes (i.e. > partition changes) > if (!isLeader) > assignmentSnapshot = null; > {code} > And _isLeader_ is only true after an assignment is performed during a > rebalance: > [https://github.com/apache/kafka/blob/43bcc5682da82a602a4c0a000dc7433d0507b450/clients/src/main/java/org/apache/kafka/clients/consumer/internals/ConsumerCoordinator.java#L634] > That is, when a consumer group forms, exactly one consumer in the group > should haveĀ _isLeader == True_ and be responsible for triggering rebalances > on metadata changes. > However, in the case of static membership, if the leader has been restarted > and rejoined the group, the group essentially no longer has a current leader. > Even though the metadata changes are fetched, no rebalance will be triggered. > That is, _isLeader_ will be false for all members. > This issue does not resolve until after an actual group change that causes a > proper rebalance. In order to safely make a partition increase when using > static membership, consumers must be stopped and have timed out, or forcibly > removed with {_}AdminClient.removeMembersFromConsumerGroup(){_}. > Correcting this in the client probably also requires help from the broker. > Currently, when a static consumer that is leader is restarted, the > coordinator does recognize the change: > e.g. leader _bbfcb930-61a3-4d21-945c-85f4576490ff_ was restarted > {noformat} > [2021-11-04 13:53:13,487] INFO [GroupCoordinator 4]: Static member > Some(1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0) of group ryan_test > with unknown member id rejoins, assigning new member id > 1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0-af88ecf2- > 6ebf-47da-95ef-c54fef17ab74, while old member id > 1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0-bbfcb930-61a3-4d21-945c-85f4576490ff > will be removed. ( > kafka.coordinator.group.GroupCoordinator){noformat} > However, it does not attempt to update the leader id since this isn't a new > rebalance, and JOIN_GROUP will continue returning the now stale member id as > leader: > {noformat} > 2021-11-04 13:53:13,490 DEBUG o.a.k.c.c.i.AbstractCoordinator [Consumer > instanceId=1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0, > clientId=1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0, > groupId=ryan_test] Received successful JoinGroup response: > JoinGroupResponseData(throttleTimeMs=0, errorCode=0, generationId=40, > protocolType='consumer', protocolName='range', > leader='1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0-bbfcb930-61a3-4d21-945c-85f4576490ff', > > memberId='1GK7DRJPHZ0LRV91Y4D3SYHS5928XHXJQ6263GT26V5P70QX0-af88ecf2-6ebf-47da-95ef-c54fef17ab74', > members=[]){noformat} > This means that it's not easy for any particular restarted member to identify > that it should consider itself leader and handle metadata changes. > There is reference to the difficulty of leader restarts in KAFKA-7728 but the > focus seemed mainly on avoiding needless rebalances for static members. That > goal was accomplished, but this issue seems to be a side effect of both not > rebalancing AND not having the rejoined member reclaim its leadership status. > Also, I have not verified if it's strictly related or valid, but noticed this > ticket has been opened too: KAFKA-12759. -- This message was sent by Atlassian Jira (v8.20.1#820001)