AngersZhuuuu commented on a change in pull request #30156: URL: https://github.com/apache/spark/pull/30156#discussion_r514897609
########## File path: docs/sql-migration-guide.md ########## @@ -51,6 +51,8 @@ license: | - In Spark 3.1, loading and saving of timestamps from/to parquet files fails if the timestamps are before 1900-01-01 00:00:00Z, and loaded (saved) as the INT96 type. In Spark 3.0, the actions don't fail but might lead to shifting of the input timestamps due to rebasing from/to Julian to/from Proleptic Gregorian calendar. To restore the behavior before Spark 3.1, you can set `spark.sql.legacy.parquet.int96RebaseModeInRead` or/and `spark.sql.legacy.parquet.int96RebaseModeInWrite` to `LEGACY`. - In Spark 3.1, the `schema_of_json` and `schema_of_csv` functions return the schema in the SQL format in which field names are quoted. In Spark 3.0, the function returns a catalog string without field quoting and in lower case. + + - In Spark 3.1, when `spark.sql.legacy.transformationPadNullWhenValueLessThenSchema` is true, Spark will pad NULL value when script transformation's output value size less then schema size in default-serde mode(script transformation with row format of `ROW FORMAT DELIMITED`). If false, Spark will keep original behavior to throw `ArrayIndexOutOfBoundsException`. Review comment: Got it, with a follow up pr or revert current one? @HyukjinKwon ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org