qsourav opened a new issue, #47886: URL: https://github.com/apache/arrow/issues/47886
### Describe the bug, including details regarding any error messages, version, and platform. When if_else() is performed on two ChunkedArrays of ordered dictionary type, the resultant ChunkedArray is somewhat strange: ``` import pyarrow as pa import pyarrow.compute as pc dictionary = ["a", "b", "c"] c1 = pa.DictionaryArray.from_arrays(pa.array([0,1,0], type=pa.int32()), dictionary, ordered=True) c2 = pa.DictionaryArray.from_arrays(pa.array([2,1,0], type=pa.int32()), dictionary, ordered=True) c3 = pa.DictionaryArray.from_arrays(pa.array([1,1,0], type=pa.int32()), dictionary, ordered=True) left = pa.chunked_array([c1, c2, c3]) print(left.type) # ordered=True c1 = pa.DictionaryArray.from_arrays(pa.array([0,1,0], type=pa.int32()), dictionary, ordered=True) c2 = pa.DictionaryArray.from_arrays(pa.array([2,None,0], type=pa.int32()), dictionary, ordered=True) c3 = pa.DictionaryArray.from_arrays(pa.array([None,1,0], type=pa.int32()), dictionary, ordered=True) right = pa.chunked_array([c1, c2, c3]) print(right.type) # ordered=True mask = pc.is_null(right) res = pc.if_else(mask, left, right) print(res.type) # ordered=True print(res.chunk(0).type) # ordered=False print(res.chunk(1).type) # ordered=False print(res.chunk(2).type) # ordered=False ``` `res.type` shows ordered=True, while the internal chunks are unordered. If internal chunks are `unordered`, should not the ChunkedArray (res) be marked as `unordered` as well? It causes some internal issues in my application (I am using C++ interface: arrow::compute::CallFunction) aborting my program with: `Array chunks must all be same type`. PS. I checked with nightly package and it seems to be there as well: `pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple pyarrow` Looking forward to your input/suggestion on this. Thanks and Regards, Sourav Saha ### Component(s) C++, Python -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
