feat: add support for dataset.default_rounding_mode

google/cloud/bigquery/dataset.py

@@ -527,13 +527,52 @@ class Dataset(object):
         "friendly_name": "friendlyName",
         "default_encryption_configuration": "defaultEncryptionConfiguration",
         "storage_billing_model": "storageBillingModel",
+        "default_rounding_mode": "defaultRoundingMode",
     }
 
     def __init__(self, dataset_ref) -> None:
         if isinstance(dataset_ref, str):
             dataset_ref = DatasetReference.from_string(dataset_ref)
         self._properties = {"datasetReference": dataset_ref.to_api_repr(), "labels": {}}
 
+    @property
+    def default_rounding_mode(self):
+        """Union[str, None]: defaultRoundingMode of the dataset as set by the user
+        (defaults to :data:`None`).
+
+        Set the value to one of ``'ROUND_HALF_AWAY_FROM_ZERO'``, ``'ROUND_HALF_EVEN'``, or
+        ``'ROUNDING_MODE_UNSPECIFIED'``.
+
+        See `default rounding mode
+        <https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#Dataset.FIELDS.default_rounding_mode>`_
+        in REST API docs and `updating the default rounding model
+        <https://cloud.google.com/bigquery/docs/updating-datasets#update_rounding_mode>`_
+        guide.
+
+        Raises:
+            ValueError: for invalid value types.
+
+        """
+        return self._properties.get("defaultRoundingMode")
+
+    @default_rounding_mode.setter
+    def default_rounding_mode(self, value):
+        possible_values = [
+            "ROUNDING_MODE_UNSPECIFIED",
+            "ROUND_HALF_AWAY_FROM_ZERO",
+            "ROUND_HALF_EVEN",
+        ]
+        if not isinstance(value, str) and value is not None:
+            raise ValueError("Pass a string, or None")
+        if value not in possible_values:
+            raise ValueError(
+                f'rounding mode needs to be one of {",".join(possible_values)}'
+            )
+        if value:
+            self._properties["defaultRoundingMode"] = value
+        else:
+            self._properties["defaultRoundingMode"] = "ROUNDING_MODE_UNSPECIFIED"
+
     @property
     def project(self):
         """str: Project ID of the project bound to the dataset."""

tests/system/test_client.py

@@ -265,6 +265,13 @@ def test_get_dataset(self):
         self.assertEqual(got.friendly_name, "Friendly")
         self.assertEqual(got.description, "Description")
 
+    def test_create_dataset_with_default_rounding_mode(self):
+        DATASET_ID = _make_dataset_id("create_dataset_rounding_mode")
+        dataset = self.temp_dataset(DATASET_ID, default_rounding_mode="ROUND_HALF_EVEN")
+
+        self.assertTrue(_dataset_exists(dataset))
+        self.assertEqual(dataset.default_rounding_mode, "ROUND_HALF_EVEN")
+
     def test_update_dataset(self):
         dataset = self.temp_dataset(_make_dataset_id("update_dataset"))
         self.assertTrue(_dataset_exists(dataset))
@@ -2286,12 +2293,17 @@ def test_nested_table_to_arrow(self):
         self.assertTrue(pyarrow.types.is_list(record_col[1].type))
         self.assertTrue(pyarrow.types.is_int64(record_col[1].type.value_type))
 
-    def temp_dataset(self, dataset_id, location=None):
+    def temp_dataset(self, dataset_id, *args, **kwargs):
         project = Config.CLIENT.project
         dataset_ref = bigquery.DatasetReference(project, dataset_id)
         dataset = Dataset(dataset_ref)
-        if location:
-            dataset.location = location
+        if kwargs.get("location"):
+            dataset.location = kwargs.get("location")
+        if kwargs.get("max_time_travel_hours"):
+            dataset.max_time_travel_hours = kwargs.get("max_time_travel_hours")
+        if kwargs.get("default_rounding_mode"):
+            dataset.default_rounding_mode = kwargs.get("default_rounding_mode")
+
         dataset = helpers.retry_403(Config.CLIENT.create_dataset)(dataset)
         self.to_delete.append(dataset)
         return dataset

tests/unit/test_create_dataset.py

@@ -63,6 +63,7 @@ def test_create_dataset_w_attrs(client, PROJECT, DS_ID):
         "datasetId": "starry-skies",
         "tableId": "northern-hemisphere",
     }
+    DEFAULT_ROUNDING_MODE = "ROUND_HALF_EVEN"
     RESOURCE = {
         "datasetReference": {"projectId": PROJECT, "datasetId": DS_ID},
         "etag": "etag",
@@ -73,6 +74,7 @@ def test_create_dataset_w_attrs(client, PROJECT, DS_ID):
         "defaultTableExpirationMs": "3600",
         "labels": LABELS,
         "access": [{"role": "OWNER", "userByEmail": USER_EMAIL}, {"view": VIEW}],
+        "defaultRoundingMode": DEFAULT_ROUNDING_MODE
     }
     conn = client._connection = make_connection(RESOURCE)
     entries = [
@@ -88,8 +90,9 @@ def test_create_dataset_w_attrs(client, PROJECT, DS_ID):
     before.default_table_expiration_ms = 3600
     before.location = LOCATION
     before.labels = LABELS
+    before.default_rounding_mode = DEFAULT_ROUNDING_MODE
     after = client.create_dataset(before)
-
+    print(after)
     assert after.dataset_id == DS_ID
     assert after.project == PROJECT
     assert after.etag == RESOURCE["etag"]
@@ -99,6 +102,7 @@ def test_create_dataset_w_attrs(client, PROJECT, DS_ID):
     assert after.location == LOCATION
     assert after.default_table_expiration_ms == 3600
     assert after.labels == LABELS
+    assert after.default_rounding_mode == DEFAULT_ROUNDING_MODE
 
     conn.api_request.assert_called_once_with(
         method="POST",
@@ -109,6 +113,7 @@ def test_create_dataset_w_attrs(client, PROJECT, DS_ID):
             "friendlyName": FRIENDLY_NAME,
             "location": LOCATION,
             "defaultTableExpirationMs": "3600",
+            "defaultRoundingMode": DEFAULT_ROUNDING_MODE,
             "access": [
                 {"role": "OWNER", "userByEmail": USER_EMAIL},
                 {"view": VIEW, "role": None},
@@ -365,3 +370,13 @@ def test_create_dataset_alreadyexists_w_exists_ok_true(PROJECT, DS_ID, LOCATION)
             mock.call(method="GET", path=get_path, timeout=DEFAULT_TIMEOUT),
         ]
     )
+
+
+def test_create_dataset_with_default_rounding_mode(PROJECT, DS_ID, LOCATION):
+    client = make_client(location=LOCATION)
+    client._connection = make_connection(
+        google.api_core.exceptions.AlreadyExists("dataset already exists")
+    )
+
+    with pytest.raises(google.api_core.exceptions.AlreadyExists):
+        client.create_dataset(DS_ID)