Asif created SPARK-50840:
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Summary: TimestampType wrongly gets mapped to TimestampNTZ when
reloading metadata from Hive, if timestamp alias is set to NTZ
Key: SPARK-50840
URL: https://issues.apache.org/jira/browse/SPARK-50840
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.5.4, 4.0.0
Reporter: Asif
1) Hive does not support spark's TimeStampNTZType
2) the mapping of the default spark's LTZ timestamp is incorrect, which is a
separate and much bigger issue.
If we create a hive table with timestamp field such that timestamp alias (
defined by property spark.sql.timestampType) is pointing to
TimestampTypes.TIMESTAMP_LTZ, the metadata in Hive will be "timestamp".
Later if we change the Timestamp alias to TimestampTypes.TIMESTAMP_NTZ, and do
any operation, such that table metadata is reloaded from Hive, the timestamp
type generated in Spark would get value of TimestampTypes.TIMESTAMP_NTZ,
instead of TimestampType ( i.e LTZ).
This would eventually result in parsing exception in Hive layer as it does not
recognize timestamp NTZ.
Will be opening a PR, with bug test
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