ExpectColumnValuesToBeOfType is not working for databricks/spark

GX Core Support
1

When we are running below expectation, it is throwing below error.

expectation = gx.expectations.ExpectColumnValuesToBeOfType(
    column="test2",
    type_="NUMBER",
    result_format= "COMPLETE",
)

Exception thrown:

{
  "success": false,
  "expectation_config": {
    "type": "expect_column_values_to_be_of_type",
    "kwargs": {
      "result_format": "COMPLETE",
      "column": "test2",
      "type_": "LONG",
      "batch_id": "my_data_source-my_dataframe_data_asset"
    },
    "meta": {}
  },
  "result": {},
  "meta": {},
  "exception_info": {
    "exception_traceback": "Traceback (most recent call last):\n  File \"/home/malam/development/data-qualities/great-expectation-dq/great_expectation_v1/ge-datasource/ge-spark-datasource/.venv/lib/python3.11/site-packages/great_expectations/validator/validator.py\", line 650, in graph_validate\n    result = expectation.metrics_validate(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/home/malam/development/data-qualities/great-expectation-dq/great_expectation_v1/ge-datasource/ge-spark-datasource/.venv/lib/python3.11/site-packages/great_expectations/expectations/expectation.py\", line 1150, in metrics_validate\n    expectation_validation_result: Union[ExpectationValidationResult, dict] = self._validate(\n                                                                              ^^^^^^^^^^^^^^^\n  File \"/home/malam/development/data-qualities/great-expectation-dq/great_expectation_v1/ge-datasource/ge-spark-datasource/.venv/lib/python3.11/site-packages/great_expectations/expectations/core/expect_column_values_to_be_of_type.py\", line 592, in _validate\n    return self._validate_spark(\n           ^^^^^^^^^^^^^^^^^^^^^\n  File \"/home/malam/development/data-qualities/great-expectation-dq/great_expectation_v1/ge-datasource/ge-spark-datasource/.venv/lib/python3.11/site-packages/great_expectations/expectations/core/expect_column_values_to_be_of_type.py\", line 453, in _validate_spark\n    raise ValueError(\"No recognized spark types in expected_types_list\")  # noqa: TRY003 # FIXME CoP\n    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nValueError: No recognized spark types in expected_types_list\n",
    "exception_message": "No recognized spark types in expected_types_list",
    "raised_exception": true
  }
}
2

I am able to resolve it by using actual corresponding data type present in spark.

expectation = gx.expectations.ExpectColumnValuesToBeOfType(
    column="test2",
    type_="LongType",
    result_format= "COMPLETE",
)```