How can I resolve the INCONSISTENT_BEHAVIOR_CROSS_VERSION error when dealing with datetime patterns in Spark 3.0 and above?
To resolve the INCONSISTENT_BEHAVIOR_CROSS_VERSION error related to datetime patterns in Spark 3.0 and above, you can follow these steps:

1. Identify the specific error class you are encountering. The error message should indicate whether it is related to DATETIME_PATTERN_RECOGNITION, PARSE_DATETIME_BY_NEW_PARSER, READ_ANCIENT_DATETIME, or WRITE_ANCIENT_DATETIME.
2. Depending on the error class, you can set the corresponding SQL config or datasource option to "LEGACY" to restore the behavior before Spark 3.0. For example, if you are dealing with a DATETIME_PATTERN_RECOGNITION error, you can set the <config> to "LEGACY" to restore the behavior before Spark 3.0.
3. If you prefer to use the new parser and treat the datetime string as invalid, you can set the <config> to "CORRECTED" instead.
4. For READ_ANCIENT_DATETIME and WRITE_ANCIENT_DATETIME errors, you can also set the <config> or <option> to "CORRECTED" to read or write the datetime values as they are, if you are sure that the written files will only be read by Spark 3.0+ or other systems that use the Proleptic Gregorian calendar.

It is recommended to consult the documentation at '<docroot>/sql-ref-datetime-pattern.html' for forming a valid datetime pattern.