[GitHub] [spark] AngersZhuuuu commented on a change in pull request #32343: [SPARK-35220][DOCS][FOLLOWUP] DayTimeIntervalType/YearMonthIntervalType show different between Hive SerDe and row format delimited

[GitBox <gi...@apache.org>]

AngersZhuuuu commented on a change in pull request #32343:
URL: https://github.com/apache/spark/pull/32343#discussion_r620178072



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File path: docs/sql-migration-guide.md
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@@ -83,6 +83,8 @@ license: |
 
   - In Spark 3.2, the unit-to-unit interval literals like `INTERVAL '1-1' YEAR TO MONTH` are converted to ANSI interval types: `YearMonthIntervalType` or `DayTimeIntervalType`. In Spark 3.1 and earlier, such interval literals are converted to `CalendarIntervalType`. To restore the behavior before Spark 3.2, you can set `spark.sql.legacy.interval.enabled` to `true`.
 
+  - In Spark 3.2, Spark support `DayTimeIntervalType` and `YearMonthIntervalType` as inputs and outputs of `TRANSFORM` clause in Hive `SERDE` mode, the behavior is different between Hive `SERDE` mode and `ROW FORMAT DELIMITED` mode when this two types as inputs. In Hive `SERDE` mode, `DayTimeIntervalType` column is converting to `HiveIntervalDayTime`, it's string format is `[+|-]?d h:m:s.n`, but in `ROW FORMAT DELIMITED` mode the format is `INTERVAL [-|+]?'[-|+]?d h:m:s.n' DAY TO TIME`. In Hive `SERDE` mode, `YearMonthIntervalType` column is converting to `HiveIntervalYearMonth`, it's string format is `[+|-]?y-m`, but in `ROW FORMAT DELIMITED` mode the format is `INTERVAL [-|+]?'[-|+]?y-m' YEAR TO MONTH`.

Review comment:
       done




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