[
https://issues.apache.org/jira/browse/SPARK-1363?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust reassigned SPARK-1363:
---------------------------------------
Assignee: Michael Armbrust
> Add streaming support for Spark SQL module
> ------------------------------------------
>
> Key: SPARK-1363
> URL: https://issues.apache.org/jira/browse/SPARK-1363
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Saisai Shao
> Assignee: Michael Armbrust
> Attachments: StreamSQLDesignDoc.pdf
>
>
> Currently there exists some projects like Pig On Storm, SQL on storm (Squall,
> SQLstream) that can query over streaming data, but for Spark Streaming, it is
> a blank area. It will be a good feature to add streaming supported SQL to
> Spark SQL.
> From semantic perspective, DStream is quite alike RDD, they both have join,
> filter, groupBy operators and so on, also DStream is backed by RDD, so it is
> transplant-able and reusable from existing spark plan.
> Also Catalyst has a clear division for each step, we can fully use its parse
> and logical plan analysis steps, with only different physical plan.
> So here we propose to add streaming support in Catalyst.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
