[Python] table join failed when one schema have tensor type

### Describe the bug, including details regarding any error messages, version, and platform.

@richardliaw mentioned the limitation they found for join with two dataset via ray data.

here is the script with ray data to reproduce the issue

```python3
In [1]: import ray

In [2]: import numpy as np

In [3]: data = [{"x": np.random.randn(3, 3), "y": 1} for _ in range(10)]

In [4]: ds = ray.data.from_items(data)

In [5]: ds.schema()
Out[5]:
Column Type
------ ----
x numpy.ndarray(shape=(3, 3), dtype=double)
y int64

In [6]: data2 = [{"z":2, "y": 1} for _ in range(10)]

In [7]: ds2 = ray.data.from_items(data2)

In [8]: ds2.schema()
Out[8]:
Column Type
------ ----
z int64
y int64

In [9]: ds3 = ds.join(ds2, join_type="inner", num_partitions=2, on=("y",))

In [10]: ds3.take(1)

RayTaskError(ArrowInvalid): ray::HashShuffleAggregator.finalize() (pid=47755, ip=127.0.0.1, actor_id=beb9b938e32e45e02607910301000000, repr=)
File "/Users/xingyulong/Desktop/github/ray/.venv/lib/python3.12/site-packages/ray/data/_internal/execution/operators/hash_shuffle.py", line 1101, in finalize
result = self._agg.finalize(partition_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/xingyulong/Desktop/github/ray/.venv/lib/python3.12/site-packages/ray/data/_internal/execution/operators/join.py", line 109, in finalize
joined = left_seq_partition.join(
^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 4849, in pyarrow.lib.Table.join
File "/Users/xingyulong/Desktop/github/ray/.venv/lib/python3.12/site-packages/pyarrow/acero.py", line 246, in _perform_join
result_table = decl.to_table(use_threads=use_threads)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_acero.pyx", line 511, in pyarrow._acero.Declaration.to_table
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Data type extension> is not supported in join non-key field x
```

and looked at the pyarrow error, it seems we hit check here https://github.com/apache/arrow/blob/fbed20a9a23f23dc256539179a90ab465d1b1c2e/cpp/src/arrow/acero/hash_join_node.cc#L49-L58 and corresponding upper caller https://github.com/apache/arrow/blob/fbed20a9a23f23dc256539179a90ab465d1b1c2e/cpp/src/arrow/acero/hash_join_node.cc#L238-L241

It may appear to ray data issue, however, we use pyarrow for underlying join, and was wondering if this is expected? i.e., pyarrow don't support tensor/lists for join?

### Component(s)

Python