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https://issues.apache.org/jira/browse/SPARK-10815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15505186#comment-15505186
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Reynold Xin commented on SPARK-10815:
-------------------------------------
Source depends on DataFrame, which can really only be created using RDDs. We
are basically depending on a wide end-user facing API just for the sake of
providing data.
> API design: data sources and sinks
> ----------------------------------
>
> Key: SPARK-10815
> URL: https://issues.apache.org/jira/browse/SPARK-10815
> Project: Spark
> Issue Type: Sub-task
> Components: SQL, Streaming
> Reporter: Reynold Xin
>
> The existing (in 2.0) source/sink interface for structured streaming depends
> on RDDs. This dependency has two issues:
> 1. The RDD interface is wide and difficult to stabilize across versions. This
> is similar to point 1 in https://issues.apache.org/jira/browse/SPARK-15689.
> Ideally, a source/sink implementation created for Spark 2.x should work in
> Spark 10.x, assuming the JVM is still around.
> 2. It is difficult to swap in/out a different execution engine.
> The purpose of this ticket is to create a stable interface that addresses the
> above two.
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