exceptAll

Return a new DataFrame containing rows in this DataFrame but not in another DataFrame while preserving duplicates.

Syntax

exceptAll(other: "DataFrame")

Parameters

Returns

DataFrame

Notes

This is equivalent to EXCEPT ALL in SQL. As standard in SQL, this function resolves columns by position (not by name).

Examples

df1 = spark.createDataFrame(
        [("a", 1), ("a", 1), ("a", 1), ("a", 2), ("b",  3), ("c", 4)], ["C1", "C2"])
df2 = spark.createDataFrame([("a", 1), ("b", 3)], ["C1", "C2"])
df1.exceptAll(df2).show()
# +---+---+
# | C1| C2|
# +---+---+
# |  a|  1|
# |  a|  1|
# |  a|  2|
# |  c|  4|
# +---+---+