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https://issues.apache.org/jira/browse/BEAM-649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15798882#comment-15798882
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Amit Sela commented on BEAM-649:
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[~jbonofre] maybe we should rename this ticket to state what it actually will
do - smarter caching of RDDs.
We can add that it will solve BEAM-1206 (which is why it's closed on account of
Duplicate).
As for Sink - we don't have an easy way to translate the Sink API specifically,
but not sure it would be necessary anymore.
> Pipeline "actions" should use foreachRDD via ParDo.
> ---------------------------------------------------
>
> Key: BEAM-649
> URL: https://issues.apache.org/jira/browse/BEAM-649
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Amit Sela
> Assignee: Jean-Baptiste Onofré
>
> Spark will execute a pipeline ONLY if it's triggered by an action (batch) /
> output operation (streaming) -
> http://spark.apache.org/docs/1.6.2/streaming-programming-guide.html#output-operations-on-dstreams.
> Currently, such actions in Beam are mostly implemented via ParDo, and
> translated by the runner as a Map transformation (via mapPartitions).
> The runner overcomes this by "forcing" actions on untranslated leaves.
> While this is OK, it would be better in some cases, e.g., Sinks, to apply the
> same ParDo translation but with foreach/foreachRDD instead of
> foreachPartition/mapPartitions.
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