[jira] [Updated] (SPARK-10815) API design: data sources and sinks

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10815?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust updated SPARK-10815:
-------------------------------------
    Issue Type: New Feature  (was: Sub-task)
        Parent:     (was: SPARK-8360)

> API design: data sources and sinks
> ----------------------------------
>
>                 Key: SPARK-10815
>                 URL: https://issues.apache.org/jira/browse/SPARK-10815
>             Project: Spark
>          Issue Type: New Feature
>          Components: Structured Streaming
>            Reporter: Reynold Xin
>
> The existing (in 2.0) source/sink interface for structured streaming depends on RDDs. This dependency has two issues:
> 1. The RDD interface is wide and difficult to stabilize across versions. This is similar to point 1 in https://issues.apache.org/jira/browse/SPARK-15689. Ideally, a source/sink implementation created for Spark 2.x should work in Spark 10.x, assuming the JVM is still around.
> 2. It is difficult to swap in/out a different execution engine.
> The purpose of this ticket is to create a stable interface that addresses the above two.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org