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https://issues.apache.org/jira/browse/SPARK-19788?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15890522#comment-15890522
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Nan Zhu commented on SPARK-19788:
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another drawback is that it might look like incompatible with DataFrameReader
(we can also change that?)
> DataStreamReader.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 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
> deprecate the current one, and progressively evolve to the new one if the
> proposal is accepted)
> [~zsxwing] what do you think?
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