I have pushed a patch for SQLStreaming, which just resolved the problem just
discussed.
the Jira:
https://issues.apache.org/jira/browse/SPARK-24630
the Patch:
https://github.com/apache/spark/pull/22575
SQLStreaming just defined the table API for StructStreaming, and the Table
APIs for Streaming and batch are are fully compatible.
With SQLStreaming, we can create a streaming just like this:
val table = spark.createTable()
spark.table(temp)
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