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https://issues.apache.org/jira/browse/MAHOUT-1570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14643468#comment-14643468
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ASF GitHub Bot commented on MAHOUT-1570:
----------------------------------------
Github user dlyubimov commented on a diff in the pull request:
https://github.com/apache/mahout/pull/137#discussion_r35591432
--- Diff:
flink/src/main/scala/org/apache/mahout/flinkbindings/blas/FlinkOpAewScalar.scala
---
@@ -0,0 +1,105 @@
+/**
--- End diff --
A elementwise scalar is deprecated now. Better use unaryfunc operator. Then
things like A+5 can be represented as
OpUnaryFunc(A, x=> x+5).
Unary function mechanism is more generic and affords for unary function
fusion optimizations.
> 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: 0.11.0
>
>
> 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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