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From Drew Pierce <drewpie...@live.com>
Subject RE: performance
Date Fri, 03 May 2013 20:10:17 GMT
yeah, ya know, us consultants trying to implement something  :>

Sent from my Android

Sorry if brief


> From: dlmarion@comcast.net
> To: dev@accumulo.apache.org
> Date: Fri, 3 May 2013 16:08:34 -0400
> Subject: RE: performance
> 
> Pressure for adoption?
> 
> Sent from my Motorola ATRIX™ 4G on AT&T
> 
> -----Original message-----
> From: Drew Pierce <drewpierce@live.com>
> To: "dev@accumulo.apache.org" <dev@accumulo.apache.org>
> Sent: Fri, May 3, 2013 19:37:50 GMT+00:00
> Subject: RE: performance
> 
> problem is that pressure is mounting for adoption and GA of sqrrl is some time away.

> thx
> 
> 
> > Date: Fri, 3 May 2013 14:36:50 -0400
> > Subject: Re: peformance
> > From: wilhelm.von.cloud@accumulo.net
> > To: dev@accumulo.apache.org
> > 
> > Does sqrrl provide an example framework to play around with?
> > 
> > 
> > On Fri, May 3, 2013 at 2:20 PM, Adam Fuchs <afuchs@apache.org> wrote:
> > 
> > > Hey Drew,
> > >
> > > This could be a very broad question, so I'll give a partial answer and
> > > encourage you to come back for more details.
> > >
> > > Impala is a mechanism that sits on top of HBase or HDFS that is design to
> > > filter and process large quantities of data. People generally like Impala
> > > because it supports a subset of SQL and because it is optimized to reduce
> > > the latency that might be incurred by starting up a job in a bulk
> > > synchronous processing framework. Instead, it uses a series of daemon
> > > processes and a custom API to reduce overhead.
> > >
> > > With Accumulo, our approach to low-latency queries is generally to use a
> > > table structure that incorporates some type of index. With appropriate
> > > indexing techniques, Accumulo can achieve sub-second query latencies even
> > > over multi-petabyte sized corpuses. Some of these table designs are
> > > described in the manual:
> > > http://accumulo.apache.org/1.4/user_manual/Table_Design.html
> > >
> > > Regarding the SQL piece, Accumulo does not natively support an SQL
> > > interface. For that you would need to wrap it in a processing framework,
> > > like Hive (https://issues.apache.org/jira/browse/ACCUMULO-143). To make a
> > > shameless plug, Sqrrl (www.sqrrl.com) also offers that functionality.
> > >
> > > Cheers,
> > > Adam
> > >
> > >
> > >
> > > On Fri, May 3, 2013 at 12:39 PM, Drew Pierce <drewpierce@live.com> wrote:
> > >
> > > > does anyone have any anecdotal results (nothing formal) for queries to
> > > > speak to the likes of impala and near low-latency.
> > > > Sent from my Android
> > > >
> > > > Sorry if brief
> > > >
> > > >
> > >
>  		 	   		  
 		 	   		  
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