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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-24630) SPIP: Support SQLStreaming in Spark
Date Fri, 28 Sep 2018 02:01:01 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-24630:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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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