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From "Vahid S Hashemian" <vahidhashem...@us.ibm.com>
Subject Re: Mirroring multiple clusters into one
Date Thu, 06 Jul 2017 23:18:36 GMT

Thanks for sharing your thoughts and experience.
Could you please also confirm whether
- you do any encryption for the mirrored data?
- you have a many-to-one mirroring similar to what I described?


From:   James Cheng <wushujames@gmail.com>
To:     users@kafka.apache.org
Cc:     dev <dev@kafka.apache.org>
Date:   07/06/2017 12:37 PM
Subject:        Re: Mirroring multiple clusters into one

I'm not sure what the "official" recommendation is. At TiVo, we *do* run 
all our mirrormakers near the target cluster. It works fine for us, but 
we're still fairly inexperienced, so I'm not sure how strong of a data 
point we should be.

I think the thought process is, if you are mirroring from a source cluster 
to a target cluster where there is a WAN between the two, then whichever 
request goes across the WAN has a higher chance of intermittent failure 
than the one over the LAN. That means that if mirrormaker is near the 
source cluster, the produce request over the WAN to the target cluster may 
fail. If the mirrormaker is near the target cluster, then the fetch 
request over the WAN to the source cluster may fail.

Failed fetch requests don't have much impact on data replication, it just 
delays it. Whereas a failure during a produce request may introduce 

Becket Qin from LinkedIn did a presentation on tuning producer performance 
at a meetup last year, and I remember he specifically talked about 
producing over a WAN as one of the cases where you have to tune settings. 
Maybe that presentation will give more ideas about what to look at. 


Sent from my iPhone

> On Jul 6, 2017, at 1:00 AM, Vahid S Hashemian 
<vahidhashemian@us.ibm.com> wrote:
> The literature suggests running the MM on the target cluster when 
> (with the exception of when encryption is required for transferred 
> I am wondering if this is still the recommended approach when mirroring 
> from multiple clusters to a single cluster (i.e. multiple MM instances).
> Is there anything in particular (metric, specification, etc.) to 
> before making a decision?
> Thanks.
> --Vahid

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