eitsupi commented on code in PR #13677:
URL: https://github.com/apache/arrow/pull/13677#discussion_r956558805


##########
python/pyarrow/tests/test_dataset.py:
##########
@@ -4192,27 +4192,27 @@ def test_write_table_multiple_fragments(tempdir):
     # Table with multiple batches written as single Fragment by default
     base_dir = tempdir / 'single'
     ds.write_dataset(table, base_dir, format="feather")
-    assert set(base_dir.rglob("*")) == set([base_dir / "part-0.feather"])
+    assert set(base_dir.rglob("*")) == set([base_dir / "part-0.arrow"])
     assert ds.dataset(base_dir, format="ipc").to_table().equals(table)
 
     # Same for single-element list of Table
     base_dir = tempdir / 'single-list'
     ds.write_dataset([table], base_dir, format="feather")
-    assert set(base_dir.rglob("*")) == set([base_dir / "part-0.feather"])
+    assert set(base_dir.rglob("*")) == set([base_dir / "part-0.arrow"])
     assert ds.dataset(base_dir, format="ipc").to_table().equals(table)
 
     # Provide list of batches to write multiple fragments
     base_dir = tempdir / 'multiple'
     ds.write_dataset(table.to_batches(), base_dir, format="feather")
     assert set(base_dir.rglob("*")) == set(
-        [base_dir / "part-0.feather"])
+        [base_dir / "part-0.arrow"])

Review Comment:
   Hmmm, I wonder if it is worth complicating the source code just to keep the 
`.feather` extension. (Of course, I'm not the maintainer, so if that's ok with 
the maintainer, fine.)
   
   Considering that the extension can be changed to any extension by setting 
the `basename_template` option (as @westonpace says), I think there is no need 
to treat only the `"feather"` case specially here.
   
   I want to emphasize that it is hard to understand the relationship between 
IPC files and Feather files anyway.
   For example, in Julia, if we want to read an IPC file, I need Arrow.jl, but 
if I want to read a Feather V1 file, we need the Feather.jl library.



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