[jira] [Created] (SPARK-43194) PySpark 3.4.0 cannot convert timestamp-typed objects to pandas with pandas 2.0

["Phillip Cloud (Jira)" <ji...@apache.org>]

Phillip Cloud created SPARK-43194:
-------------------------------------

             Summary: PySpark 3.4.0 cannot convert timestamp-typed objects to pandas with pandas 2.0
                 Key: SPARK-43194
                 URL: https://issues.apache.org/jira/browse/SPARK-43194
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 3.4.0
         Environment: {code}
In [4]: import pandas as pd

In [5]: pd.__version__
Out[5]: '2.0.0'

In [6]: import pyspark as ps

In [7]: ps.__version__
Out[7]: '3.4.0'
{code}
            Reporter: Phillip Cloud


{code}
In [1]: from pyspark.sql import SparkSession

In [2]: session = SparkSession.builder.appName("test").getOrCreate()
23/04/19 09:21:42 WARN Utils: Your hostname, albatross resolves to a loopback address: 127.0.0.2; using 192.168.1.170 instead (on interface enp5s0)
23/04/19 09:21:42 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
23/04/19 09:21:42 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

In [3]: session.sql("select now()").toPandas()
{code}

Results in:

{code}
...
TypeError: Casting to unit-less dtype 'datetime64' is not supported. Pass e.g. 'datetime64[ns]' instead.
{code}



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