[jira] [Created] (SPARK-8655) DataFrameReader#option supports more than String as value

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

Michael Nitschinger created SPARK-8655:
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             Summary: DataFrameReader#option supports more than String as value
                 Key: SPARK-8655
                 URL: https://issues.apache.org/jira/browse/SPARK-8655
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 1.4.0
            Reporter: Michael Nitschinger


I'm working on a custom data source, porting it from 1.3 to 1.4.

On 1.3 I could easily extend the SparkSQL imports and get access to it, which meant I could use custom options right away. One of those is I pass a Filter down to my Relation for tighter schema inference against a schemaless database.

So I would have something like:

n1ql(filter: Filter = null, userSchema: StructType = null, bucketName: String = null)

Since I want to move my API behind the DataFrameReader, the SQLContext is not available anymore, only through the RelationProvider, which I've implemented and it works nicely.

The only problem I have now is that while I can pass in custom options, they are all String typed. So I have no way to pass down my optional Filter anymore (since parameters is a Map[String, String]).

Would it be possible to extend the options so that more than just Strings can be passed in? Right now I probably need to work around that by documenting how people can pass in a string which I turn into a Filter, but that's somewhat hacky.



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