[jira] [Commented] (SPARK-6126) Support UDTs in JSON

["Emiliano Leporati (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14545752#comment-14545752 ] 

Emiliano Leporati commented on SPARK-6126:
------------------------------------------

With a simple 1-liner path to JsonRDD.enforceCorrectType I've been able to work with a JSON DataFrame with a custom type in the schema:
case udt: UserDefinedType[_] => udt.deserialize(value)

My UDT is a geometry type serialized to GeoJSON, and its deserialize method is smart enough to return an instance from both a String and a Map, that is how the GeoJSON is recognized at first by the JsonRDD.

> Support UDTs in JSON
> --------------------
>
>                 Key: SPARK-6126
>                 URL: https://issues.apache.org/jira/browse/SPARK-6126
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: Joseph K. Bradley
>
> This would be nice to do (in Python):
> {code}
> from pyspark.mllib.util import MLUtils
> data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt")
> data.toDF().toJSON().count()
> {code}
> But UDTs are not yet supported in JSON.  It would be nice to add.



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