HyukjinKwon commented on a change in pull request #29657:
URL: https://github.com/apache/spark/pull/29657#discussion_r484229068
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File path: python/pyspark/sql/dataframe.py
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@@ -1567,8 +1567,25 @@ def unionByName(self, other):
| 1| 2| 3|
| 6| 4| 5|
+----+----+----+
+
+ If you want to allow missing columns, set `allowMissingColumns` to
``True``.
+
+ >>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
+ >>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col3"])
+ >>> df1.unionByName(df2, allowMissingColumns=True).show()
+ +----+----+----+----+
+ |col0|col1|col2|col3|
+ +----+----+----+----+
+ | 1| 2| 3|null|
+ |null| 4| 5| 6|
+ +----+----+----+----+
+
+ .. versionchanged:: 3.1.0
+ Added optional argument `allowMissingColumns` to specify whether to
allow missing columns.
+ If there is a column on only one side, a missing values are filled
with nulls.
Review comment:
I would remove this line.
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