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Posted to issues@spark.apache.org by "Nan Zhu (JIRA)" <ji...@apache.org> on 2017/03/01 16:38:45 UTC

[jira] [Created] (SPARK-19788) DataStreamReader.option shall accept user-defined type

Nan Zhu created SPARK-19788:
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             Summary: 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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