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Posted to issues@spark.apache.org by "Lars Francke (JIRA)" <ji...@apache.org> on 2019/06/25 20:21:01 UTC
[jira] [Commented] (SPARK-25390) data source V2 API refactoring
[ https://issues.apache.org/jira/browse/SPARK-25390?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16872684#comment-16872684 ]
Lars Francke commented on SPARK-25390:
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Is there any kind of end-user documentation for this on how to use these APIs to develop custom sources?
When looking on the Spark homepage one only finds this documentation [https://spark.apache.org/docs/2.2.0/streaming-custom-receivers.html] it'd be useful to have a version of this for the new APIs
> data source V2 API refactoring
> ------------------------------
>
> Key: SPARK-25390
> URL: https://issues.apache.org/jira/browse/SPARK-25390
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Wenchen Fan
> Priority: Major
>
> Currently it's not very clear how we should abstract data source v2 API. The abstraction should be unified between batch and streaming, or similar but have a well-defined difference between batch and streaming. And the abstraction should also include catalog/table.
> An example of the abstraction:
> {code}
> batch: catalog -> table -> scan
> streaming: catalog -> table -> stream -> scan
> {code}
> We should refactor the data source v2 API according to the abstraction
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