Re: [Architecture] RFC: Could we support Hive executions on top of Hazelcast?

2014-09-20 Thread Sanjiva Weerawarana
Srinath, related to this topic .. (via Paul) GridGain just offered to
donate their in-memory computing stuff to Apache:

https://wiki.apache.org/incubator/SilkProposal

Can you take a look and see? Maybe we should actively join that effort as
well ..

Sanjiva.

On Fri, Sep 5, 2014 at 2:27 PM, Srinath Perera srin...@wso2.com 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




-- 
Sanjiva Weerawarana, Ph.D.
Founder, Chairman  CEO; WSO2, Inc.;  http://wso2.com/
email: sanj...@wso2.com; office: (+1 650 745 4499 | +94  11 214 5345)
x5700; cell: +94 77 787 6880 | +1 408 466 5099; voip: +1 650 265 8311
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Re: [Architecture] RFC: Could we support Hive executions on top of Hazelcast?

2014-09-07 Thread Frank Leymann
Hi Srinath,

another minor point that came to me:  Google announced recently the
successor of MapReduce, called Google Cloud Dataflow (
http://googlecloudplatform.blogspot.in/2014/06/reimagining-developer-productivity-and-data-analytics-in-the-cloud-news-from-google-io.html).
Because you are mentioning MapReduce sometimes you may get questions about
Google Cloud Dataflow :-)



Best regards,
Frank


2014-09-05 12:07 GMT+02:00 Srinath Perera srin...@wso2.com:

 Hi Paul,

 I have been playing with it a bit, but have lot of figuring out to do. I
 think we should do Spark anyway in near future.

 --Srinath


 On Fri, Sep 5, 2014 at 2:40 PM, Paul Fremantle p...@wso2.com wrote:

 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 srin...@wso2.com 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
 p...@wso2.com

 wso2.com Lean Enterprise Middleware

 Disclaimer: This communication may contain privileged or other
 confidential information and is intended exclusively for the addressee/s.
 If you are not the intended recipient/s, or believe that you may have
 received this communication in error, please reply to the sender indicating
 that fact and delete the copy you received and in addition, you should not
 print, copy, retransmit, disseminate, or otherwise use the information
 contained in this communication. Internet communications cannot be
 guaranteed to be timely, secure, error or virus-free. The sender does not
 accept liability for any errors or omissions.




 --
 
 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

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Re: [Architecture] RFC: Could we support Hive executions on top of Hazelcast?

2014-09-07 Thread Frank Leymann
Sorry - my comment is on the wrong thread :-(


Best regards,
Frank


2014-09-07 15:26 GMT+02:00 Frank Leymann fr...@wso2.com:

 Hi Srinath,

 another minor point that came to me:  Google announced recently the
 successor of MapReduce, called Google Cloud Dataflow (
 http://googlecloudplatform.blogspot.in/2014/06/reimagining-developer-productivity-and-data-analytics-in-the-cloud-news-from-google-io.html).
 Because you are mentioning MapReduce sometimes you may get questions about
 Google Cloud Dataflow :-)



 Best regards,
 Frank


 2014-09-05 12:07 GMT+02:00 Srinath Perera srin...@wso2.com:

 Hi Paul,

 I have been playing with it a bit, but have lot of figuring out to do. I
 think we should do Spark anyway in near future.

 --Srinath


 On Fri, Sep 5, 2014 at 2:40 PM, Paul Fremantle p...@wso2.com wrote:

 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 srin...@wso2.com 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
 p...@wso2.com

 wso2.com Lean Enterprise Middleware

 Disclaimer: This communication may contain privileged or other
 confidential information and is intended exclusively for the addressee/s.
 If you are not the intended recipient/s, or believe that you may have
 received this communication in error, please reply to the sender indicating
 that fact and delete the copy you received and in addition, you should not
 print, copy, retransmit, disseminate, or otherwise use the information
 contained in this communication. Internet communications cannot be
 guaranteed to be timely, secure, error or virus-free. The sender does not
 accept liability for any errors or omissions.




 --
 
 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

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[Architecture] RFC: Could we support Hive executions on top of Hazelcast?

2014-09-05 Thread Srinath Perera
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
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Re: [Architecture] RFC: Could we support Hive executions on top of Hazelcast?

2014-09-05 Thread Paul Fremantle
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 srin...@wso2.com 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
p...@wso2.com

wso2.com Lean Enterprise Middleware

Disclaimer: This communication may contain privileged or other confidential
information and is intended exclusively for the addressee/s. If you are not
the intended recipient/s, or believe that you may have received this
communication in error, please reply to the sender indicating that fact and
delete the copy you received and in addition, you should not print, copy,
retransmit, disseminate, or otherwise use the information contained in this
communication. Internet communications cannot be guaranteed to be timely,
secure, error or virus-free. The sender does not accept liability for any
errors or omissions.
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Re: [Architecture] RFC: Could we support Hive executions on top of Hazelcast?

2014-09-05 Thread Srinath Perera
Hi Paul,

I have been playing with it a bit, but have lot of figuring out to do. I
think we should do Spark anyway in near future.

--Srinath


On Fri, Sep 5, 2014 at 2:40 PM, Paul Fremantle p...@wso2.com wrote:

 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 srin...@wso2.com 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
 p...@wso2.com

 wso2.com Lean Enterprise Middleware

 Disclaimer: This communication may contain privileged or other
 confidential information and is intended exclusively for the addressee/s.
 If you are not the intended recipient/s, or believe that you may have
 received this communication in error, please reply to the sender indicating
 that fact and delete the copy you received and in addition, you should not
 print, copy, retransmit, disseminate, or otherwise use the information
 contained in this communication. Internet communications cannot be
 guaranteed to be timely, secure, error or virus-free. The sender does not
 accept liability for any errors or omissions.




-- 

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
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