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https://issues.apache.org/jira/browse/SPARK-3712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14151075#comment-14151075
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Apache Spark commented on SPARK-3712:
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User 'uncleGen' has created a pull request for this issue:
https://github.com/apache/spark/pull/2562
> add a new UpdateDStream to update a rdd dynamically
> ---------------------------------------------------
>
> Key: SPARK-3712
> URL: https://issues.apache.org/jira/browse/SPARK-3712
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Reporter: uncleGen
> Priority: Minor
>
> Maybe, we can achieve the aim by using "forEachRdd" function. But I feel
> weird in this way, because I need to pass a closure, like this:
> val baseRdd = ...
> var updatedRDD = ...
> val inputStream = ...
> val func = (rdd: RDD[T], t: Time) => {
> updatedRDD = baseRDD.op(rdd)
> }
> inputStream.foreachRDD(func _)
> In my PR, we can update a rdd like:
> val updateStream = inputStream.updateRDD(baseRDD, func).asInstanceOf[T,
> V, U]
> and obtain the updatedRDD like this:
> val updatedRDD = updateStream.getUpdatedRDD
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