[jira] [Created] (SPARK-12072) python dataframe ._jdf.schema().json() breaks on large metadata dataframes

["Rares Mirica (JIRA)" <ji...@apache.org>]

Rares Mirica created SPARK-12072:
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             Summary: python dataframe ._jdf.schema().json() breaks on large metadata dataframes
                 Key: SPARK-12072
                 URL: https://issues.apache.org/jira/browse/SPARK-12072
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 1.5.2
            Reporter: Rares Mirica


When a dataframe contains a column with a large number of values in ml_attr, schema evaluation will routinely fail on getting the schema as json, this will, in turn, cause a bunch of problems with, eg: calling udfs on the schema because calling columns relies on _parse_datatype_json_string(self._jdf.schema().json())




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