Xinrong Meng created SPARK-41455:
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Summary: Resolve dtypes inconsistencies of date/timestamp functions
Key: SPARK-41455
URL: https://issues.apache.org/jira/browse/SPARK-41455
Project: Spark
Issue Type: Sub-task
Components: PySpark
Affects Versions: 3.4.0
Reporter: Xinrong Meng
When implementing date/timestamp functions, we notice inconsistent dtypes with
PySpark, as shown below.
{code:python}
>> sdf.select(SF.current_timestamp()).toPandas().dtypes
current_timestamp() datetime64[ns]
dtype: object
>>> cdf.select(CF.current_timestamp()).toPandas().dtypes
current_timestamp() datetime64[ns, America/Los_Angeles]
{code}
We may have to implement `is_timestamp_ntz_preferred` for Connect.
After the fix, tests of those date/timestamp functions which use
`compare_by_show` should be switched to `toPandas` comparison.
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