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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