[ 
https://issues.apache.org/jira/browse/MAHOUT-1570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14964639#comment-14964639
 ] 

ASF GitHub Bot commented on MAHOUT-1570:
----------------------------------------

GitHub user dlyubimov opened a pull request:

    https://github.com/apache/mahout/pull/161

    MAHOUT-1570, sub-pr: a siggestion: let's unify all key class tag 
extractors. 

    Unifying "keyClassTag" of checkpoitns and "classTagK" of logical operators 
and
    
    elevating "keyClassTag" into DrmLike[] trait. No more logical forks any 
more .

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/dlyubimov/mahout flink-binding

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/mahout/pull/161.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #161
    
----
commit 0df6e08f27c76c6eeb4a714e0087722bef166970
Author: Dmitriy Lyubimov <[email protected]>
Date:   2015-10-20T06:26:43Z

    Unifying "keyClassTag" of checkpoitns and "classTagK" of logical operators 
and
    elevating "keyClassTag" into DrmLike[] trait. No more logical forks any 
more .

----


> Adding support for Apache Flink as a backend for the Mahout DSL
> ---------------------------------------------------------------
>
>                 Key: MAHOUT-1570
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1570
>             Project: Mahout
>          Issue Type: Improvement
>            Reporter: Till Rohrmann
>            Assignee: Alexey Grigorev
>              Labels: DSL, flink, scala
>             Fix For: 0.11.1
>
>
> With the finalized abstraction of the Mahout DSL plans from the backend 
> operations (MAHOUT-1529), it should be possible to integrate further backends 
> for the Mahout DSL. Apache Flink would be a suitable candidate to act as a 
> good execution backend. 
> With respect to the implementation, the biggest difference between Spark and 
> Flink at the moment is probably the incremental rollout of plans, which is 
> triggered by Spark's actions and which is not supported by Flink yet. 
> However, the Flink community is working on this issue. For the moment, it 
> should be possible to circumvent this problem by writing intermediate results 
> required by an action to HDFS and reading from there.



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