Skip to content

[SPARK-25072][DOC] Update migration guide for behavior change #22369

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
xuanyuanking wants to merge 1 commit into from
Closed

[SPARK-25072][DOC] Update migration guide for behavior change #22369

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions docs/sql-programming-guide.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1901,6 +1901,7 @@ working with timestamps in `pandas_udf`s to get the best performance, see
## Upgrading From Spark SQL 2.3.0 to 2.3.1 and above

- As of version 2.3.1 Arrow functionality, including `pandas_udf` and `toPandas()`/`createDataFrame()` with `spark.sql.execution.arrow.enabled` set to `True`, has been marked as experimental. These are still evolving and not currently recommended for use in production.
- In version 2.3.1 and earlier, it is possible for PySpark to create a Row object by providing more value than column number through the customized Row class. Since Spark 2.3.3, Spark will confirm value length is less or equal than column length in PySpark. See [SPARK-25072](https://issues.apache.org/jira/browse/SPARK-25072) for details.
Copy link
Member

@BryanCutler BryanCutler Sep 9, 2018

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Maybe say ..by providing more values than number of fields through a customized Row class. As of Spark 2.3.3, PySpark will raise a ValueError if the number of values are more than the number of fields. See...

Copy link
Member Author

@xuanyuanking xuanyuanking Sep 10, 2018

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Thanks Bryan, I'll address this after discussion.


## Upgrading From Spark SQL 2.2 to 2.3

Expand Down