pralabhkumar opened a new pull request #34275:
URL: https://github.com/apache/spark/pull/34275
### What changes were proposed in this pull request?
Hide JVM traceback for SparkUpgradeException
Following PR will result into
```
from pyspark.sql.functions import to_date, unix_timestamp, from_unixtime
df2 = df.select('date_str',to_date(from_unixtime(unix_timestamp('date_str',
'yyyy-dd-aa'))))
df2.show(1, False)
raise converted from None
pyspark.sql.utils.SparkUpgradeException: You may get a different result due
to the upgrading of Spark 3.0: Fail to recognize 'yyyy-dd-aa' pattern in the
DateTimeFormatter. 1) You can set spark.sql.legacy.timeParserPolicy to LEGACY
to restore the behavior before Spark 3.0. 2) You can form a valid datetime
pattern with the guide from
https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
```
### Why are the changes needed?
This change will remove JVM traceback for pyspark in SparkUpgradeException.
This will help to have stack trace more pythonic way
### Does this PR introduce any user-facing change?
Yes user will be able to see only python stacktrace
### How was this patch tested?
unit tests
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