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holdenk commented on SPARK-12072: --------------------------------- Any results yet? > 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()) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org