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From "Genmao Yu (JIRA)" <>
Subject [jira] [Commented] (SPARK-24630) SPIP: Support SQLStreaming in Spark
Date Wed, 01 Aug 2018 12:56:00 GMT


Genmao Yu commented on SPARK-24630:

[~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:
>             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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