ueshin commented on a change in pull request #33634:
URL: https://github.com/apache/spark/pull/33634#discussion_r682859453
##########
File path: python/pyspark/pandas/indexes/base.py
##########
@@ -2293,8 +2311,6 @@ def union(
sdf_self =
self._internal.spark_frame.select(self._internal.index_spark_columns)
sdf_other =
other_idx._internal.spark_frame.select(other_idx._internal.index_spark_columns)
sdf = sdf_self.union(sdf_other.subtract(sdf_self))
Review comment:
Could you try
`sdf_self.unionAll(sdf_other).exceptAll(sdf_self.intersectAll(sdf_other))`?
It seems working at least with the example above:
```py
>>> ps_idx1 = ps.Index([1, 1, 1, 1, 1, 2, 2])
>>> ps_idx2 = ps.Index([1, 1, 2, 2, 2, 2, 2])
>>> ps_idx1.union(ps_idx2)
Int64Index([1, 1, 1, 1, 1, 2, 2, 2, 2, 2], dtype='int64')
>>> ps_idx1.to_pandas().union(ps_idx2.to_pandas())
Int64Index([1, 1, 1, 1, 1, 2, 2, 2, 2, 2], dtype='int64')
```
I haven't tried the other examples and I'm not sure how expensive this is,
though.
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