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[SPARK-22980][PYTHON][SQL] Clarify the length of each series is of each batch within scalar Pandas UDF #20237

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[SPARK-22980][PYTHON][SQL] Clarify the length of each series is of each batch within scalar Pandas UDF #20237

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Clarify the length of each series is of each batch within scalar Pand…
HyukjinKwon Jan 11, 2018
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HyukjinKwon Jan 12, 2018
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5 changes: 5 additions & 0 deletions python/pyspark/sql/functions.py
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Expand Up @@ -2184,6 +2184,11 @@ def pandas_udf(f=None, returnType=None, functionType=None):
| 8| JOHN DOE| 22|
+----------+--------------+------------+

.. note:: The length of `pandas.Series` within a scalar UDF is not that of the whole input
column, but is the length of an internal batch used for each call to the function.
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Nit: but is -> but

Therefore, this can be used, for example, to ensure the length of each returned
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@gatorsmile gatorsmile Jan 13, 2018 •
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ensure? What does this mean?

How about measure?

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I meant to ensure the length of the batch because we declare "The length of the returned pandas.Series must be of the same as the input pandas.Series."

`pandas.Series`, and can not be used as the column length.

2. GROUP_MAP

A group map UDF defines transformation: A `pandas.DataFrame` -> A `pandas.DataFrame`
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