Thank you for the input.

On Sun, Mar 30, 2014 at 8:10 PM, Vladimir Rodionov
<vrodio...@carrieriq.com>wrote:

> It can be viable approach if you can keep replication lag under control.
>
> > I'm not sure how the java api deals with reading from a region server
> that
> > is in the process of failing over? Is there a way to detect that?
>
> Do two reads in sequence:
>
> 1. Read primary cluster
> 2. Read secondary if 1. exceeds your time - out .
>
> Best regards,
> Vladimir Rodionov
> Principal Platform Engineer
> Carrier IQ, www.carrieriq.com
> e-mail: vrodio...@carrieriq.com
>
> ________________________________________
> From: Jeff Storey [storey.j...@gmail.com]
> Sent: Sunday, March 30, 2014 2:31 PM
> To: user@hbase.apache.org
> Subject: hbase replication for higher availability
>
> In evaluating strategies for minimizing downtime when a region server
> fails, in addition to the common approaches such as lowering the zookeeper
> timeout, is it possible to use replication to improve availability (at the
> cost of consistency) for reads?
>
> I'm still getting more familiar with the HBASE api, but my thought would be
> to do something like:
>
> - attempt read from the primary cluster
> - if read fails because of downed region server, read from slave cluster
> (understanding that the read may be a little bit stale)
>
> I wouldn't expect this to happen too frequently, but in a case where I
> would rather return slightly stale data rather than no data, is this a
> viable approach?
>
> I'm not sure how the java api deals with reading from a region server that
> is in the process of failing over? Is there a way to detect that?
>
> Thanks for the help.
>
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