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Posted to jira@kafka.apache.org by "Guozhang Wang (JIRA)" <ji...@apache.org> on 2019/05/29 04:40:00 UTC

[jira] [Resolved] (KAFKA-8428) Cleanup LogValidator#validateMessagesAndAssignOffsetsCompressed to assume single record batch only

     [ https://issues.apache.org/jira/browse/KAFKA-8428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Guozhang Wang resolved KAFKA-8428.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0

> Cleanup LogValidator#validateMessagesAndAssignOffsetsCompressed to assume single record batch only
> --------------------------------------------------------------------------------------------------
>
>                 Key: KAFKA-8428
>                 URL: https://issues.apache.org/jira/browse/KAFKA-8428
>             Project: Kafka
>          Issue Type: Improvement
>            Reporter: Guozhang Wang
>            Assignee: Guozhang Wang
>            Priority: Major
>             Fix For: 2.3.0
>
>
> Today, the client -> server record batching protocol works like this:
> 1. With magic v2, we always require a single batch within compressed set. And inside the LogValidator#validateMessagesAndAssignOffsetsCompressed we assume so already.
> 2. With magic v1, our code actually also assumes one record batch, since whenever inPlaceAssignment is true we assume one batch only; however with magic v1 it is still possible that inPlaceAssignment == true.
> 3. With magic v0, our code does handle the case with multiple record batch, since with v0 inPlaceAssignment is always false.
> This makes the logic of LogValidator#validateMessagesAndAssignOffsetsCompressed quite twisted and complicated.
> Since all standard clients implementation we've known so far actually all wrap a single batch with compressed (of course, we cannot guarantee this is the case for all clients in the wild, but I think the chance of multiple batches with compressed records should really be rare), I think it's better just to make it as a universal requirement for all versions.



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