Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/21857#discussion_r205561601
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -293,6 +293,28 @@ def explain(self, extended=False):
else:
print(self._jdf.queryExecution().simpleString())
+ @since(2.4)
+ def exceptAll(self, other):
+ """Return a new :class:`DataFrame` containing rows in this
:class:`DataFrame` but
+ not in another :class:`DataFrame` while preserving duplicates.
+
+ This is equivalent to `EXCEPT ALL` in SQL.
+
+ >>> df1 = spark.createDataFrame([("a", 1), ("a", 2), ("b", 3),
("c", 4)], ["C1", "C2"])
--- End diff --
Maybe it is better to add one more row to show the behavior of `preserving
duplicates`.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
