Storing large blobs in S3 or HDFS and placing URIs in Kafka is the most
common solution I've seen in use.

On Tue, Oct 6, 2015 at 8:32 AM, Joel Koshy <jjkosh...@gmail.com> wrote:

> The best practice I think is to just put large objects in a blob store
> and have messages embed references to those blobs. Interestingly we
> ended up having to implement large-message-support at LinkedIn but for
> various reasons were forced to put messages inline (i.e., against the
> above recommendation). So we ended up having to break up large
> messages into smaller chunks. This obviously adds considerable
> complexity to the consumer since the checkpointing can become pretty
> complicated. There are other nuances as well - we can probably do a
> short talk on this at an upcoming meetup.
>
> Joel
>
>
> On Mon, Oct 5, 2015 at 9:31 PM, Rahul Jain <rahul...@gmail.com> wrote:
> > In addition to the config changes mentioned in that post, you may also
> have
> > to change producer config if you are using the new producer.
> >
> > Specifically, *max.request.size* and *request.timeout.ms
> > <http://request.timeout.ms>* have to be increased to allow the producer
> to
> > send large messages.
> >
> >
> > On 6 Oct 2015 02:02, "James Cheng" <jch...@tivo.com> wrote:
> >
> >> Here’s an article that Gwen wrote earlier this year on handling large
> >> messages in Kafka.
> >>
> >> http://ingest.tips/2015/01/21/handling-large-messages-kafka/
> >>
> >> -James
> >>
> >> > On Oct 5, 2015, at 11:20 AM, Pradeep Gollakota <pradeep...@gmail.com>
> >> wrote:
> >> >
> >> > Fellow Kafkaers,
> >> >
> >> > We have a pretty heavyweight legacy event logging system for batch
> >> > processing. We're now sending the events into Kafka now for realtime
> >> > analytics. But we have some pretty large messages (> 40 MB).
> >> >
> >> > I'm wondering if any of you have use cases where you have to send
> large
> >> > messages to Kafka and how you're dealing with them.
> >> >
> >> > Thanks,
> >> > Pradeep
> >>
> >>
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