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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-25659) Add type inference specification for createDataFrame in PySpark tests
Date Sat, 06 Oct 2018 09:24:00 GMT
Hyukjin Kwon created SPARK-25659:
------------------------------------

             Summary: Add type inference specification for createDataFrame in PySpark tests
                 Key: SPARK-25659
                 URL: https://issues.apache.org/jira/browse/SPARK-25659
             Project: Spark
          Issue Type: Test
          Components: PySpark
    Affects Versions: 2.4.0
            Reporter: Hyukjin Kwon


For instance, see https://github.com/apache/spark/blob/08c76b5d39127ae207d9d1fff99c2551e6ce2581/python/pyspark/sql/types.py#L894-L905

Looks we intended to support {{datetime.time}} and {{None}} for type inference too but it
does not work:

{code}
>>> spark.createDataFrame([[datetime.time()]])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/.../spark/python/pyspark/sql/session.py", line 751, in createDataFrame
    rdd, schema = self._createFromLocal(map(prepare, data), schema)
  File "/.../spark/python/pyspark/sql/session.py", line 432, in _createFromLocal
    data = [schema.toInternal(row) for row in data]
  File "/.../spark/python/pyspark/sql/types.py", line 604, in toInternal
    for f, v, c in zip(self.fields, obj, self._needConversion))
  File "/.../spark/python/pyspark/sql/types.py", line 604, in <genexpr>
    for f, v, c in zip(self.fields, obj, self._needConversion))
  File "/.../spark/python/pyspark/sql/types.py", line 442, in toInternal
    return self.dataType.toInternal(obj)
  File "/.../spark/python/pyspark/sql/types.py", line 193, in toInternal
    else time.mktime(dt.timetuple()))
AttributeError: 'datetime.time' object has no attribute 'timetuple'
>>> spark.createDataFrame([[None]])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/.../spark/python/pyspark/sql/session.py", line 751, in createDataFrame
    rdd, schema = self._createFromLocal(map(prepare, data), schema)
  File "/.../spark/python/pyspark/sql/session.py", line 419, in _createFromLocal
    struct = self._inferSchemaFromList(data, names=schema)
  File "/.../python/pyspark/sql/session.py", line 353, in _inferSchemaFromList
    raise ValueError("Some of types cannot be determined after inferring")
ValueError: Some of types cannot be determined after inferring
{code}

Looks we better add supported type inference specification.




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