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https://issues.apache.org/jira/browse/KAFKA-14196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17601095#comment-17601095
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Luke Chen commented on KAFKA-14196:
-----------------------------------

[~pnee] 
 # I don't think we need to pause the fetch if the previous async commit 
(autocommit) hasn't yet go through, for the normal situation (not rebalancing)? 
Because as long as we are sending out the commit, I think we could tentatively 
assume the acked data has been committed. Am I right?

 --> correct. for normal situation (not rebalancing), we don't pause anything
 # I think we only need to pause the fetch, if there's a rebalance process 
taking place, because it only waits for the current in-flight commit, then 
revoke the partition.  Once the partition is revoked, I don't think we can do 
anything about the uncommitted data.

--> correct.

 

[~guozhang] , thanks for the suggestion.

> I suggested we add a TODO there indicating it's sub-optimal but is allowed 
> under at least once semantics.

Agree!

> we still commit async, while at the same time mark those revoking partitions 
> as "not retrievable" to not return any more data

Sounds good to me!

 

>From Philip:

> And because this regression was caused by the "rebalancing internal state" 
> (pardon me if the words use is confusing), do you think it might be worth 
> exposing the rebalance internal states?

I think we can just `pause` the SubscriptionState of the partitions that we're 
going to revoked. From the javadoc:
{code:java}
/**
 * Suspend fetching from the requested partitions. Future calls to {@link 
#poll(Duration)} will not return
 * any records from these partitions until they have been resumed using {@link 
#resume(Collection)}.
 * Note that this method does not affect partition subscription. In particular, 
it does not cause a group
 * rebalance when automatic assignment is used.
 *
 * Note: Rebalance will not preserve the pause/resume state.
 * @param partitions The partitions which should be paused
 * @throws IllegalStateException if any of the provided partitions are not 
currently assigned to this consumer
 */
@Override
public void pause(Collection<TopicPartition> partitions) {{code}
 

I think that's what we want, right?

> Duplicated consumption during rebalance, causing OffsetValidationTest to act 
> flaky
> ----------------------------------------------------------------------------------
>
>                 Key: KAFKA-14196
>                 URL: https://issues.apache.org/jira/browse/KAFKA-14196
>             Project: Kafka
>          Issue Type: Bug
>          Components: clients, consumer
>    Affects Versions: 3.3.0, 3.2.1
>            Reporter: Philip Nee
>            Assignee: Philip Nee
>            Priority: Major
>              Labels: new-consumer-threading-should-fix
>
> Several flaky tests under OffsetValidationTest are indicating potential 
> consumer duplication issue, when autocommit is enabled.  I believe this is 
> affecting *3.2* and onward.  Below shows the failure message:
>  
> {code:java}
> Total consumed records 3366 did not match consumed position 3331 {code}
>  
> After investigating the log, I discovered that the data consumed between the 
> start of a rebalance event and the async commit was lost for those failing 
> tests.  In the example below, the rebalance event kicks in at around 
> 1662054846995 (first record), and the async commit of the offset 3739 is 
> completed at around 1662054847015 (right before partitions_revoked).
>  
> {code:java}
> {"timestamp":1662054846995,"name":"records_consumed","count":3,"partitions":[{"topic":"test_topic","partition":0,"count":3,"minOffset":3739,"maxOffset":3741}]}
> {"timestamp":1662054846998,"name":"records_consumed","count":2,"partitions":[{"topic":"test_topic","partition":0,"count":2,"minOffset":3742,"maxOffset":3743}]}
> {"timestamp":1662054847008,"name":"records_consumed","count":2,"partitions":[{"topic":"test_topic","partition":0,"count":2,"minOffset":3744,"maxOffset":3745}]}
> {"timestamp":1662054847016,"name":"partitions_revoked","partitions":[{"topic":"test_topic","partition":0}]}
> {"timestamp":1662054847031,"name":"partitions_assigned","partitions":[{"topic":"test_topic","partition":0}]}
> {"timestamp":1662054847038,"name":"records_consumed","count":23,"partitions":[{"topic":"test_topic","partition":0,"count":23,"minOffset":3739,"maxOffset":3761}]}
>  {code}
> A few things to note here:
>  # Manually calling commitSync in the onPartitionsRevoke cb seems to 
> alleviate the issue
>  # Setting includeMetadataInTimeout to false also seems to alleviate the 
> issue.
> The above tries seems to suggest that contract between poll() and 
> asyncCommit() is broken.  AFAIK, we implicitly uses poll() to ack the 
> previously fetched data, and the consumer would (try to) commit these offsets 
> in the current poll() loop.  However, it seems like as the poll continues to 
> loop, the "acked" data isn't being committed.
>  
> I believe this could be introduced in  KAFKA-14024, which originated from 
> KAFKA-13310.
> More specifically, (see the comments below), the ConsumerCoordinator will 
> alway return before async commit, due to the previous incomplete commit.  
> However, this is a bit contradictory here because:
>  # I think we want to commit asynchronously while the poll continues, and if 
> we do that, we are back to KAFKA-14024, that the consumer will get rebalance 
> timeout and get kicked out of the group.
>  # But we also need to commit all the "acked" offsets before revoking the 
> partition, and this has to be blocked.
> *Steps to Reproduce the Issue:*
>  # Check out AK 3.2
>  # Run this several times: (Recommend to only run runs with autocommit 
> enabled in consumer_test.py to save time)
> {code:java}
> _DUCKTAPE_OPTIONS="--debug" 
> TC_PATHS="tests/kafkatest/tests/client/consumer_test.py::OffsetValidationTest.test_consumer_failure"
>  bash tests/docker/run_tests.sh {code}
>  
> *Steps to Diagnose the Issue:*
>  # Open the test results in *results/*
>  # Go to the consumer log.  It might look like this
>  
> {code:java}
> results/2022-09-03--005/OffsetValidationTest/test_consumer_failure/clean_shutdown=True.enable_autocommit=True.metadata_quorum=ZK/2/VerifiableConsumer-0-xxxxxxxxxx/dockerYY
>  {code}
> 3. Find the docker instance that has partition getting revoked and rejoined.  
> Observed the offset before and after.
> *Propose Fixes:*
>  TBD



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