AngersZhuuuu commented on a change in pull request #30202:
URL: https://github.com/apache/spark/pull/30202#discussion_r515933291
##########
File path: docs/sql-migration-guide.md
##########
@@ -52,7 +52,7 @@ license: |
- 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`.
+ - In Spark 3.1, when script transformation output's value size is less then
schema size in default-serde mode(script transformation with row format of `ROW
FORMAT DELIMITED`), Spark will pad NUll value to supplement data. In Spark 3.0
or earlier, Spark will do nothing and throw `ArrayIndexOutOfBoundsException`.
To restore the behavior before Spark 3.1, you can set
`spark.sql.legacy.transformationNotPadNullToSupplementData.enabled` to `true`.
Review comment:
So, What should I do next? Personally, we need to let users know about
this change
##########
File path: docs/sql-migration-guide.md
##########
@@ -52,7 +52,7 @@ license: |
- 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`.
+ - In Spark 3.1, when script transformation output's value size is less then
schema size in default-serde mode(script transformation with row format of `ROW
FORMAT DELIMITED`), Spark will pad NUll value to supplement data. In Spark 3.0
or earlier, Spark will do nothing and throw `ArrayIndexOutOfBoundsException`.
To restore the behavior before Spark 3.1, you can set
`spark.sql.legacy.transformationNotPadNullToSupplementData.enabled` to `true`.
Review comment:
All right, we can just revert last pr.
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