[jira] [Created] (SPARK-26887) Create datetime.date directly instead of creating datetime64[ns] as intermediate data.

["Takuya Ueshin (JIRA)" <ji...@apache.org>]

Takuya Ueshin created SPARK-26887:
-------------------------------------

             Summary: Create datetime.date directly instead of creating datetime64[ns] as intermediate data.
                 Key: SPARK-26887
                 URL: https://issues.apache.org/jira/browse/SPARK-26887
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.4.0
            Reporter: Takuya Ueshin


Currently {{DataFrame.toPandas()}} with arrow enabled or {{ArrowStreamPandasSerializer}} for pandas UDF with pyarrow<0.12 creates {{datetime64[ns]}} type series as intermediate data and then convert to {{datetime.date}} series, but the intermediate {{datetime64[ns]}} might cause an overflow even if the date is valid.
{noformat}
>>> import datetime
>>>
>>> t  = [datetime.date(2262, 4, 12), datetime.date(2263, 4, 12)]
>>>
>>> df = spark.createDataFrame(t, 'date')
>>> df.show()
+----------+
|     value|
+----------+
|2262-04-12|
|2263-04-12|
+----------+

>>>
>>> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
>>>
>>> df.toPandas()
        value
0  1677-09-21
1  1678-09-21
{noformat}
We should avoid creating such intermediate data and create {{datetime.date}} series directly instead.



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