What about our idea of using the Siddhi language for the long-running map
reduce side as well?

Paul


On 5 September 2014 09:57, Srinath Perera <[email protected]> wrote:

> Hi All,
>
> Hazelcast now also have a MapReduce implementation. May be we can change
> hive so it can also submit jobs to Hazelcast in addition to MapReduce. Then
> users can load lot of data to hazelcast and process them with HiveSQL.
>
> 1. It will enable users to also do in memory computing using Hive SQL
> 2. It will enable ad-hoc queries that return fast results over a large
> dataset using HiveSQL
>
> IMO it will be a pretty tool In-memory computing scenario.
>
> WDYT?
>
> --Srinath
>
> p.s. One concern is when we support Spark, it will also have much similar
> support via .cache() in RDDs. So this might be a redundant feature at the
> time.
>
>
>
> --
> ============================
> Director, Research, WSO2 Inc.
> Visiting Faculty, University of Moratuwa
> Member, Apache Software Foundation
> Research Scientist, Lanka Software Foundation
> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
> Site: http://people.apache.org/~hemapani/
> Photos: http://www.flickr.com/photos/hemapani/
> Phone: 0772360902
>



-- 
Paul Fremantle
CTO and Co-Founder, WSO2
OASIS WS-RX TC Co-chair, Apache Member

UK: +44 207 096 0336

blog: http://pzf.fremantle.org
twitter.com/pzfreo
[email protected]

wso2.com Lean Enterprise Middleware

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