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From Azuryy Yu <azury...@gmail.com>
Subject RE: HBase tasks
Date Mon, 08 Apr 2013 03:50:46 GMT
I guess he has only one CF, which is in memory, so he called in-memory

--Send from my Sony mobile.
On Apr 8, 2013 11:46 AM, "Anoop Sam John" <anoopsj@huawei.com> wrote:

> Hi
> >But what to do, if I have an HBase in-memory table,
> Why you say in memory table? All the data in memory? Can u explain a bit
> abt this?
> Yes there is MR job to scan the HBase table data. (Full or part)
> When you say you want to retrieve data fast, what is the ammount of data?
> How many regions? Any testing u have done with scan APIs?
> Which version of HBase?
> -Anoop-
> ________________________________________
> From: Pavel Hančar [pavel.hancar@gmail.com]
> Sent: Saturday, April 06, 2013 10:15 PM
> To: user@hbase.apache.org
> Subject: HBase tasks
>   Hello,
> maybe I don't understand one basic thing. MapReduce jobs are there for long
> jobs, that process some big data. But what to do, if I have an HBase
> in-memory table, where I would like to process all (or selected) records
> with minimal time response. Also MapReduce?
>    If so, are there any features to speed up the processing? Is possible to
> avoid some disk writes/reads?
>   I try to compare some vectors extracted from pictures and sort the output
> with a single empty reducer. Then I take the output by a web application.
> Especially the last write of the output of the single reducer and then the
> reading it by the web application seems strange to me. Is it possible to
> get an iterator from the reducer instead of the output file?
>   Thanks,
>   Pavel Hančar

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