You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2017/03/02 07:04:45 UTC
[jira] [Commented] (SPARK-19788)
DataStreamReader/DataStreamWriter.option shall accept user-defined type
[ https://issues.apache.org/jira/browse/SPARK-19788?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15891722#comment-15891722 ]
Shixiong Zhu commented on SPARK-19788:
--------------------------------------
I remember that we want to support both Scala and Python. If it accepts user-defined types, we don't know how to convert Python options to Scala options.
> DataStreamReader/DataStreamWriter.option shall accept user-defined type
> -----------------------------------------------------------------------
>
> Key: SPARK-19788
> URL: https://issues.apache.org/jira/browse/SPARK-19788
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Nan Zhu
>
> There are many other data sources/sinks which has very different configuration ways than Kafka, FileSystem, etc.
> The expected type of the configuration entry passed to them might be a nested collection type, e.g. Map[String, Map[String, String]], or even a user-defined type....(for example, the one I am working on)
> Right now, option can only accept String -> String/Boolean/Long/Double OR a complete Map[String, String]...my suggestion is that we can accept Map[String, Any], and the type of 'parameters' in SourceProvider.createSource can also be Map[String, Any], this will create much more flexibility to the user....
> The drawback is that, it is a breaking change ( we can mitigate this by deprecating the current one, and progressively evolve to the new one if the proposal is accepted)
> [~zsxwing] what do you think?
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org