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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