[SPARK-34319][SQL] Resolve duplicate attributes for FlatMapCoGroupsInPandas/MapInPandas
### What changes were proposed in this pull request?
Resolve duplicate attributes for `FlatMapCoGroupsInPandas`.
### Why are the changes needed?
When performing self-join on top of `FlatMapCoGroupsInPandas`, analysis can fail because of conflicting attributes. For example,
```scala
df = spark.createDataFrame([(1, 1)], ("column", "value"))
row = df.groupby("ColUmn").cogroup(
df.groupby("COLUMN")
).applyInPandas(lambda r, l: r + l, "column long, value long")
row.join(row).show()
```
error:
```scala
...
Conflicting attributes: column#163321L,value#163322L
;;
’Join Inner
:- FlatMapCoGroupsInPandas [ColUmn#163312L], [COLUMN#163312L], <lambda>(column#163312L, value#163313L, column#163312L, value#163313L), [column#163321L, value#163322L]
: :- Project [ColUmn#163312L, column#163312L, value#163313L]
: : +- LogicalRDD [column#163312L, value#163313L], false
: +- Project [COLUMN#163312L, column#163312L, value#163313L]
: +- LogicalRDD [column#163312L, value#163313L], false
+- FlatMapCoGroupsInPandas [ColUmn#163312L], [COLUMN#163312L], <lambda>(column#163312L, value#163313L, column#163312L, value#163313L), [column#163321L, value#163322L]
:- Project [ColUmn#163312L, column#163312L, value#163313L]
: +- LogicalRDD [column#163312L, value#163313L], false
+- Project [COLUMN#163312L, column#163312L, value#163313L]
+- LogicalRDD [column#163312L, value#163313L], false
...
```
### Does this PR introduce _any_ user-facing change?
yes, the query like the above example won't fail.
### How was this patch tested?
Adde unit tests.
Closes #31429 from Ngone51/fix-conflcting-attrs-of-FlatMapCoGroupsInPandas.
Lead-authored-by: yi.wu <yi.wu@databricks.com>
Co-authored-by: wuyi <yi.wu@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
e9362c2571