ValueError: need at least one array to concatenate When Returned Dataset is Emtpy

從 databricks/sql/client.py 中的 fetchall、fetchall_arrow 和 _convert_arrow_table 開始，沿著 traceback 中顯示的失敗轉換路徑進行追蹤。重現 SELECT ... WHERE 1=0 的情況，並驗證 fetchall 回傳空清單，而不是引發 ValueError。

I notice when a query returns empty dataset, the fetchall function fails with ValueError: need at least one array to concatenate. The expected behavior is to return an empty list.

python 3.8
databricks-sql-connector==3.7.1
pyarrow==17.0.0

   sql_query = f"""
                SELECT Column FROM table
                WHERE 1=0"""

host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")

connection = sql.connect(
  server_hostname=host,
  http_path=http_path)
    with conn.cursor() as cursor:
        cursor.execute(sql_query)
        rows = cursor.fetchall()

  File "c:\Users\acai\.venv\lib\site-packages\databricks\sql\client.py", line 1066, in fetchall
    return self.active_result_set.fetchall()
  File "c:\Users\acai\.venv\lib\site-packages\databricks\sql\client.py", line 1431, in fetchall
    return self._convert_arrow_table(self.fetchall_arrow())
  File "c:\Users\acai\.venv\lib\site-packages\databricks\sql\client.py", line 1302, in _convert_arrow_table
    df = table_renamed.to_pandas(
  File "pyarrow\\array.pxi", line 885, in pyarrow.lib._PandasConvertible.to_pandas
  File "pyarrow\\table.pxi", line 5002, in pyarrow.lib.Table._to_pandas
  File "c:\Users\acai\.venv\lib\site-packages\pyarrow\pandas_compat.py", line 800, in table_to_dataframe
    blocks = [
  File "c:\Users\acai\O.venv\lib\site-packages\pyarrow\pandas_compat.py", line 801, in <listcomp>
    _reconstruct_block(item, column_names, ext_columns_dtypes)
  File "c:\Users\acai\.venv\lib\site-packages\pyarrow\pandas_compat.py", line 743, in _reconstruct_block
    arr = pandas_dtype.__from_arrow__(arr)
  File "c:\Users\acai\.venv\lib\site-packages\pandas\core\arrays\integer.py", line 121, in __from_arrow__
    return IntegerArray._concat_same_type(results)
  File "c:\Users\acai\\.venv\lib\site-packages\pandas\core\arrays\masked.py", line 271, in _concat_same_type
    data = np.concatenate([x._data for x in to_concat])
  File "<__array_function__ internals>", line 200, in concatenate
ValueError: need at least one array to concatenate