[jira] [Created] (SPARK-35097) Add column name to SparkUpgradeException about ancient datetime

["Max Gekk (Jira)" <ji...@apache.org>]

Max Gekk created SPARK-35097:
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             Summary: Add column name to SparkUpgradeException about ancient datetime
                 Key: SPARK-35097
                 URL: https://issues.apache.org/jira/browse/SPARK-35097
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.2.0
            Reporter: Max Gekk


The error message:

{code:java}
org.apache.spark.SparkUpgradeException: You may get a different result due to the upgrading of Spark 3.0: reading dates before 1582-10-15 or timestamps before 1900-01-01T00:00:00Z from Parquet files can be ambiguous, as the files may be written by Spark 2.x or legacy versions of Hive, which uses a legacy hybrid calendar that is different from Spark 3.0+'s Proleptic Gregorian calendar. See more details in SPARK-31404. You can set spark.sql.legacy.parquet.datetimeRebaseModeInRead to 'LEGACY' to rebase the datetime values w.r.t. the calendar difference during reading. Or set spark.sql.legacy.parquet.datetimeRebaseModeInRead to 'CORRECTED' to read the datetime values as it is.
{code}

doesn't have any clues of which column causes the issue. Need to improve the message and add column name to it.



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