Add test for the timestamp error case described in SPARK-10177

[mythrocks]

Apache JIRA: https://issues.apache.org/jira/browse/SPARK-10177

Refer to ParquetHiveCompatibilitySuite.scala#L97.

We just need to add a PySpark test to check that the following data is written/read the same on spark-rapids and Apache Spark:

CREATE TABLE ts_test STORED AS PARQUET
AS SELECT CAST("2015-01-01 00:00:00" AS TIMESTAMP) problem_timestamp;

[razajafri]

This seems like the bug was in DateTimeUtils as evident from the comment here. Considering that is this still a valid test case that we need in parquet_write_test.py?

[mythrocks]

Hmm. In hindsight, probably not top priority. I'd still add it, just in case there's a similar bug in CUDF, since it can be tested with a single timestamp record.

[mythrocks]

Sorry for the red-herring in the description. I have corrected the suggested SQL to include a column alias.