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From Michael Segel <michael_se...@hotmail.com>
Subject Re: Coprocessors
Date Thu, 25 Apr 2013 22:12:13 GMT
I don't think Phoenix will solve his problem. 

He also needs to explain more about his problem before we can start to think about the problem.

On Apr 25, 2013, at 4:54 PM, lars hofhansl <larsh@apache.org> wrote:

> You might want to have a look at Phoenix (https://github.com/forcedotcom/phoenix), which
does that and more, and gives a SQL/JDBC interface.
> -- Lars
> ________________________________
> From: Sudarshan Kadambi (BLOOMBERG/ 731 LEXIN) <skadambi@bloomberg.net>
> To: user@hbase.apache.org 
> Sent: Thursday, April 25, 2013 2:44 PM
> Subject: Coprocessors
> Folks:
> This is my first post on the HBase user mailing list. 
> I have the following scenario:
> I've a HBase table of upto a billion keys. I'm looking to support an application where
on some user action, I'd need to fetch multiple columns for upto 250K keys and do some sort
of aggregation on it. Fetching all that data and doing the aggregation in my application takes
about a minute.
> I'm looking to co-locate the aggregation logic with the region servers to
> a. Distribute the aggregation
> b. Avoid having to fetch large amounts of data over the network (this could potentially
be cross-datacenter)
> Neither observers nor aggregation endpoints work for this use case. Observers don't return
data back to the client while aggregation endpoints work in the context of scans not a multi-get
(Are these correct assumptions?).
> I'm looking to write a service that runs alongside the region servers and acts a proxy
b/w my application and the region servers. 
> I plan to use the logic in HBase client's HConnectionManager, to segment my request of
1M rowkeys into sub-requests per region-server. These are sent over to the proxy which fetches
the data from the region server, aggregates locally and sends data back. Does this sound reasonable
or even a useful thing to pursue?
> Regards,
> -sudarshan

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