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Posted to issues@spark.apache.org by "Kevin Zhang (JIRA)" <ji...@apache.org> on 2019/04/16 03:43:00 UTC
[jira] [Commented] (SPARK-24630) SPIP: Support SQLStreaming in
Spark
[ https://issues.apache.org/jira/browse/SPARK-24630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16818598#comment-16818598 ]
Kevin Zhang commented on SPARK-24630:
-------------------------------------
thanks [~Jackey Lee]
So I'm wondering what's blocking the pr of this issue to be merged, is it related to DataSourceV2?
> 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 V2.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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