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From Dru Jensen <drujen...@gmail.com>
Subject Re: Question about how queries are distributed
Date Mon, 04 Aug 2008 17:32:58 GMT
What about launching a map/reduce task from the thrift API?
For example, launch RowCount and either get the results sync in the  
response or async from a results table.

Would this be a good way of handling load distribution of queries?

On Aug 4, 2008, at 9:50 AM, Andrew Purtell wrote:

> Something to think about is integration of Thrift with the master
> and regionserver themselves as a first class API. I think the
> Thrift (and also the REST) APIs as clients/front ends are proof-
> of-concepts more than anything else.
>   - Andy
>> From: Jean-Daniel Cryans <jdcryans@gmail.com>
>> Subject: Re: Question about how queries are distributed
>> To: hbase-user@hadoop.apache.org
>> Date: Monday, August 4, 2008, 6:05 AM
>> Ah ok I see what you meant! Yes, the Thrift client
>> communicates with a Thrift server which is bundled with
>> the Master, so the HBase client code doesn't run on your
>> local machine that queries HBase.
>> So yes, there may be a scalability problem

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