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https://issues.apache.org/jira/browse/FLINK-16485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17054710#comment-17054710
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Fan Hong commented on FLINK-16485:
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Hi, as a developer who is using Flink for machine learning, I think it is
necessary to support this feature in the old planner.
There is no doubt the new planner, blink planner, is more preferable in the
long term perspective.
But, right now, blink planner still does not cover all functionalities, like
iterate, of DataSet, which are heavily relied on in the implementation of most
batch machine learning algorithms.
So, I expect this feature, and maybe those DataSet-related features in the
future, to be supported in both planners,
before the blink planner can really replace the flink one.
> Support vectorized Python UDF in the batch mode of old planner
> --------------------------------------------------------------
>
> Key: FLINK-16485
> URL: https://issues.apache.org/jira/browse/FLINK-16485
> Project: Flink
> Issue Type: Sub-task
> Components: API / Python
> Reporter: Dian Fu
> Assignee: Dian Fu
> Priority: Major
> Fix For: 1.11.0
>
>
> Currently, vectorized Python UDF is only supported in the batch/stream mode
> for the blink planner and stream mode for the old planner. The aim of this
> Jira is to add support in the batch mode for the old planner.
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