Skip to content

[SPARK-56889][PYTHON][DOCS][FOLLOWUP] Note Python 3.10 support drop in the migration guide #58320

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

Open
Yicong-Huang wants to merge 1 commit into
base: master
Choose a base branch
from
Open

[SPARK-56889][PYTHON][DOCS][FOLLOWUP] Note Python 3.10 support drop in the migration guide #58320

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 python/docs/source/migration_guide/pyspark_upgrade.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@ Upgrading PySpark

Upgrading from PySpark 4.2 to 4.3
---------------------------------
* In Spark 4.3, Python 3.10 support was dropped in PySpark.
* In Spark 4.3, a ``mapInPandas`` UDF must return an iterator of ``pandas.DataFrame``\s; returning any other iterable such as a ``list`` now raises ``UDF_RETURN_TYPE``, matching the existing ``mapInArrow`` behavior and the declared ``Iterator[...]`` signature. To restore the previous behavior of accepting any iterable for both ``mapInPandas`` and ``mapInArrow``, set ``spark.sql.execution.pythonUDF.mapInBatch.legacy.acceptAnyIterable.enabled`` to ``true``.

Upgrading from PySpark 4.1 to 4.2
Expand Down