Re: Apache Tez support for Ignite

["slava.koptilin" <sl...@gmail.com>]

Hi Ravi,

Please properly subscribe to the mailing list so that the community can 
receive email notifications for your messages. To subscribe, send empty 
email to user-subscribe@ignite.apache.org and follow simple instructions in 
the reply. 

> Similarly hive on spark with ignite will it work?. 
Apache Ignite implements Spark Resilient Distributed Datasets (RDD), and so
can be used with Spark Jobs, Workers and applications.
https://apacheignite-fs.readme.io/docs/ignite-for-spark

Thanks!




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Re: Apache Tez support for Ignite

[vkulichenko <va...@gmail.com>]

I doubt there is a general answer, as it will depend on your particular use
case. Ignite MR is very easy to install, so I think you should just try it
out and compare with other options.

-Val



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Re: Apache Tez support for Ignite

[ravi <me...@gmail.com>]

Hi Val,
 I have seen the hadoop accelerator link you shared.

If i have to choose from the following combination for the performance
reason which one should i choose? why? and when should i choose?

1) Hive on MR(Standard Hadoop MR)
2) Hive on Ignite MR
3) Hive on Spark
4) Hive on Tez
5) Hive on Tez+LLAP



Regards
Ravi.P



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Re: Apache Tez support for Ignite

[vkulichenko <va...@gmail.com>]

Ravi,

Have you seen the Hadoop Accelerator?
https://apacheignite-fs.readme.io/docs/hadoop-accelerator

It also provides custom implementation of MR engine.

-Val



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Re: Apache Tez support for Ignite

[ravi <me...@gmail.com>]

Hi
 Thanks for the details. I have sent the email to subscribe now and got
confirmation back. The reason i have asked the question about Tez and LLAP
is apache hive community has deprecated the MR as execution engine and
moving towards Tez and LLAP, Will Ignite have equivalent In Memory Tez/LLAP
implementation similar to In memory map reduce?.

Regards
Ravi 



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