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Genmao Yu commented on SPARK-24630:
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[~Jackey Lee] Pretty good! We also have the SQL Streaming demand. Is there any more detailed
design doc? Or we can list those streaming sql syntax which is different from batch firstly.
> SPIP: Support SQLStreaming in Spark
> -----------------------------------
>
> Key: SPARK-24630
> URL: https://issues.apache.org/jira/browse/SPARK-24630
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.2.0, 2.2.1
> Reporter: Jackey Lee
> Priority: Minor
> Labels: SQLStreaming
> Attachments: SQLStreaming SPIP.pdf
>
>
> At present, KafkaSQL, Flink SQL(which is actually based on Calcite), SQLStream, StormSQL
all provide a stream type SQL interface, with which users with little knowledge about streaming,
can easily develop a flow system processing model. In Spark, we can also support SQL API based
on StructStreamig.
> To support for SQL Streaming, there are two key points:
> 1, Analysis should be able to parse streaming type SQL.
> 2, Analyzer should be able to map metadata information to the corresponding
> Relation.
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