bbtfr opened a new issue, #41931:
URL: https://github.com/apache/arrow/issues/41931

   ### Describe the enhancement requested
   
   Not sure this is by design or is a bug.
   
   ```
   import pyarrow as pa
   
   t1 = pa.Table.from_pydict({
       "a": [1, 2, 3],
   })
   t2 = pa.Table.from_pydict({
       "b": [1, 2, 3],
   })
   t3 = concat_tables([t1, t2], promote_options="default")
   print(t3.to_pydict())  # => {'a': [1, 2, 3, None, None, None], 'b': [None, 
None, None, 1, 2, 3]}
   ```
   
   Missing keys at the top level (table? or schema?) is allowed.
   While at the lower levels (struct?) is not allowed.
   
   ```
   import pyarrow as pa
   
   t1 = pa.Table.from_pydict({
       "a": [{"b": 1}],
   })
   t2 = pa.Table.from_pydict({
       "a": [{"c": 2}],
   })
   t3 = pa.concat_tables([t1, t2], promote_options="default")  # => raise 
pyarrow.lib.ArrowTypeError: struct fields don't match or are in the wrong 
order: Input fields: struct<b: int64> output fields: struct<b: int64, c: int64>
   
   # And it will work if I do this
   t3 = pa.concat_tables(t1.to_pylist() + t2.to_pylist())
   print(t3.to_pydict())  # => {'a': [{'b': 1, 'c': None}, {'b': None, 'c': 2}]}
   ```
   
   
   
   ### Component(s)
   
   Python


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