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https://issues.apache.org/jira/browse/KAFKA-1011?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13767850#comment-13767850
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Neha Narkhede commented on KAFKA-1011:
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I think using the SyncProducer in the MirrorMaker might solve this issue until
the client redesign is complete. The only extra work that is involved in making
this work is batching. This will resolve the unintuitive behavior that we see
today where a message is accepted at the source but gets dropped at one or more
of the intermediate pipelines. I think we can attempt this is in trunk instead
of waiting for the client rewrite since the work is not significantly large and
the client rewrite release is many months away.
> Decompression and re-compression on MirrorMaker could result in messages
> being dropped in the pipeline
> ------------------------------------------------------------------------------------------------------
>
> Key: KAFKA-1011
> URL: https://issues.apache.org/jira/browse/KAFKA-1011
> Project: Kafka
> Issue Type: Bug
> Reporter: Guozhang Wang
> Assignee: Guozhang Wang
> Fix For: 0.8.1
>
> Attachments: KAFKA-1011.v1.patch
>
>
> The way MirrorMaker works today is that its consumers could use deep iterator
> to decompress messages received from the source brokers and its producers
> could re-compress the messages while sending them to the target brokers.
> Since MirrorMakers use a centralized data channel for its consumers to pipe
> messages to its producers, and since producers would compress messages with
> the same topic within a batch as a single produce request, this could result
> in messages accepted at the front end of the pipeline being dropped at the
> target brokers of the MirrorMaker due to MesageSizeTooLargeException if it
> happens that one batch of messages contain too many messages of the same
> topic in MirrorMaker's producer. If we can use shallow iterator at the
> MirrorMaker's consumer side to directly pipe compressed messages this issue
> can be fixed.
> Also as Swapnil pointed out, currently if the MirrorMaker lags and there are
> large messages in the MirrorMaker queue (large after decompression), it can
> run into an OutOfMemoryException. Shallow iteration will be very helpful in
> avoiding this exception.
> The proposed solution of this issue is also related to KAFKA-527.
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