You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@uima.apache.org by Richard Eckart de Castilho <re...@apache.org> on 2016/09/09 16:50:03 UTC

UIMA and Spark (was Re: opinion on degree of backwards compatibility for Uima V3 experiment)

On 09.09.2016, at 11:38, Joern Kottmann <ko...@gmail.com> wrote:
> 
> I think the best way to answer this question is to write a few fully working
> simple examples which use UIMA 2 and different Hadoop frameworks,
> e.g. MapReduce, Spark, etc. and see how we can make it a pleasure to use
> UIMA with those.

Some time back, Philip Ogren has produced some nice high-level slides on UIMA + Spark:

https://spark-summit.org/2014/wp-content/uploads/2014/07/Leveraging-UIMA-in-Spark-Philip-Ogren.pdf

Cheers,

-- Richard	

Re: UIMA and Spark (was Re: opinion on degree of backwards compatibility for Uima V3 experiment)

Posted by Joern Kottmann <ko...@gmail.com>.
Today you can use Uima AEs fully encapsulated in a Spark function without
much effort.

I think it would be nice if as a user I could just use the CAS with Spark
like I showed in the example. This is probably not very difficult to
achieve.

Jörn

On Sep 9, 2016 18:50, "Richard Eckart de Castilho" <re...@apache.org> wrote:

On 09.09.2016, at 11:38, Joern Kottmann <ko...@gmail.com> wrote:
>
> I think the best way to answer this question is to write a few fully
working
> simple examples which use UIMA 2 and different Hadoop frameworks,
> e.g. MapReduce, Spark, etc. and see how we can make it a pleasure to use
> UIMA with those.

Some time back, Philip Ogren has produced some nice high-level slides on
UIMA + Spark:

https://spark-summit.org/2014/wp-content/uploads/2014/07/
Leveraging-UIMA-in-Spark-Philip-Ogren.pdf

Cheers,

-- Richard