def test_update_database_ddl(self):
        # Setup Expected Response
        expected_response = {}
        expected_response = empty_pb2.Empty(**expected_response)
        operation = operations_pb2.Operation(
            name="operations/test_update_database_ddl", done=True)
        operation.response.Pack(expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
        with patch as create_channel:
            create_channel.return_value = channel
            client = spanner_admin_database_v1.DatabaseAdminClient()

        # Setup Request
        database = client.database_path("[PROJECT]", "[INSTANCE]",
                                        "[DATABASE]")
        statements = []

        response = client.update_database_ddl(database, statements)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = spanner_database_admin_pb2.UpdateDatabaseDdlRequest(
            database=database, statements=statements)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
Beispiel #2
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    def test_update_database_ddl(self, mock_create_stub):
        # Mock gRPC layer
        grpc_stub = mock.Mock()
        mock_create_stub.return_value = grpc_stub

        client = spanner_admin_database_v1.DatabaseAdminClient()

        # Mock request
        database = client.database_path('[PROJECT]', '[INSTANCE]',
                                        '[DATABASE]')
        statements = []

        # Mock response
        expected_response = {}
        expected_response = empty_pb2.Empty(**expected_response)
        operation = operations_pb2.Operation(
            name='operations/test_update_database_ddl', done=True)
        operation.response.Pack(expected_response)
        grpc_stub.UpdateDatabaseDdl.return_value = operation

        response = client.update_database_ddl(database, statements)
        self.assertEqual(expected_response, response.result())

        grpc_stub.UpdateDatabaseDdl.assert_called_once()
        args, kwargs = grpc_stub.UpdateDatabaseDdl.call_args
        self.assertEqual(len(args), 2)
        self.assertEqual(len(kwargs), 1)
        self.assertIn('metadata', kwargs)
        actual_request = args[0]

        expected_request = spanner_database_admin_pb2.UpdateDatabaseDdlRequest(
            database=database, statements=statements)
        self.assertEqual(expected_request, actual_request)
    def test_update_database_ddl(self):
        # Setup Expected Response
        expected_response = {}
        expected_response = empty_pb2.Empty(**expected_response)
        operation = operations_pb2.Operation(
            name='operations/test_update_database_ddl', done=True)
        operation.response.Pack(expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        client = spanner_admin_database_v1.DatabaseAdminClient(channel=channel)

        # Setup Request
        database = client.database_path('[PROJECT]', '[INSTANCE]',
                                        '[DATABASE]')
        statements = []

        response = client.update_database_ddl(database, statements)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = spanner_database_admin_pb2.UpdateDatabaseDdlRequest(
            database=database, statements=statements)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def update_database_ddl(self,
                            database,
                            statements,
                            operation_id=None,
                            retry=google.api_core.gapic_v1.method.DEFAULT,
                            timeout=google.api_core.gapic_v1.method.DEFAULT,
                            metadata=None):
        """
        Updates the schema of a Cloud Spanner database by
        creating/altering/dropping tables, columns, indexes, etc. The returned
        ``long-running operation`` will have a name of the format
        ``<database_name>/operations/<operation_id>`` and can be used to track
        execution of the schema change(s). The ``metadata`` field type is
        ``UpdateDatabaseDdlMetadata``. The operation has no response.

        Example:
            >>> from google.cloud import spanner_admin_database_v1
            >>>
            >>> client = spanner_admin_database_v1.DatabaseAdminClient()
            >>>
            >>> database = client.database_path('[PROJECT]', '[INSTANCE]', '[DATABASE]')
            >>>
            >>> # TODO: Initialize `statements`:
            >>> statements = []
            >>>
            >>> response = client.update_database_ddl(database, statements)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            database (str): Required. The database to update.
            statements (list[str]): DDL statements to be applied to the database.
            operation_id (str): If empty, the new update request is assigned an automatically-generated
                operation ID. Otherwise, ``operation_id`` is used to construct the name
                of the resulting ``Operation``.

                Specifying an explicit operation ID simplifies determining whether the
                statements were executed in the event that the ``UpdateDatabaseDdl``
                call is replayed, or the return value is otherwise lost: the
                ``database`` and ``operation_id`` fields can be combined to form the
                ``name`` of the resulting ``longrunning.Operation``:
                ``<database>/operations/<operation_id>``.

                ``operation_id`` should be unique within the database, and must be a
                valid identifier: ``[a-z][a-z0-9_]*``. Note that automatically-generated
                operation IDs always begin with an underscore. If the named operation
                already exists, ``UpdateDatabaseDdl`` returns ``ALREADY_EXISTS``.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will not
                be retried.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.spanner_admin_database_v1.types._OperationFuture` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if 'update_database_ddl' not in self._inner_api_calls:
            self._inner_api_calls[
                'update_database_ddl'] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.update_database_ddl,
                    default_retry=self._method_configs['UpdateDatabaseDdl'].
                    retry,
                    default_timeout=self._method_configs['UpdateDatabaseDdl'].
                    timeout,
                    client_info=self._client_info,
                )

        request = spanner_database_admin_pb2.UpdateDatabaseDdlRequest(
            database=database,
            statements=statements,
            operation_id=operation_id,
        )
        operation = self._inner_api_calls['update_database_ddl'](
            request, retry=retry, timeout=timeout, metadata=metadata)
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            empty_pb2.Empty,
            metadata_type=spanner_database_admin_pb2.UpdateDatabaseDdlMetadata,
        )
Beispiel #5
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    def update_database_ddl(self,
                            database,
                            statements,
                            operation_id=None,
                            options=None):
        """
        Updates the schema of a Cloud Spanner database by
        creating/altering/dropping tables, columns, indexes, etc. The returned
        ``long-running operation`` will have a name of
        the format ``<database_name>/operations/<operation_id>`` and can be used to
        track execution of the schema change(s). The
        ``metadata`` field type is
        ``UpdateDatabaseDdlMetadata``.  The operation has no response.

        Example:
            >>> from google.cloud import spanner_admin_database_v1
            >>>
            >>> client = spanner_admin_database_v1.DatabaseAdminClient()
            >>>
            >>> database = client.database_path('[PROJECT]', '[INSTANCE]', '[DATABASE]')
            >>> statements = []
            >>>
            >>> response = client.update_database_ddl(database, statements)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            database (str): Required. The database to update.
            statements (list[str]): DDL statements to be applied to the database.
            operation_id (str): If empty, the new update request is assigned an
                automatically-generated operation ID. Otherwise, ``operation_id``
                is used to construct the name of the resulting
                ``Operation``.

                Specifying an explicit operation ID simplifies determining
                whether the statements were executed in the event that the
                ``UpdateDatabaseDdl`` call is replayed,
                or the return value is otherwise lost: the ``database`` and
                ``operation_id`` fields can be combined to form the
                ``name`` of the resulting
                ``longrunning.Operation``: ``<database>/operations/<operation_id>``.

                ``operation_id`` should be unique within the database, and must be
                a valid identifier: ``[a-z][a-z0-9_]*``. Note that
                automatically-generated operation IDs always begin with an
                underscore. If the named operation already exists,
                ``UpdateDatabaseDdl`` returns
                ``ALREADY_EXISTS``.
            options (~google.gax.CallOptions): Overrides the default
                settings for this call, e.g, timeout, retries etc.

        Returns:
            A :class:`~google.cloud.spanner_admin_database_v1.types._OperationFuture` instance.

        Raises:
            :exc:`google.gax.errors.GaxError` if the RPC is aborted.
            :exc:`ValueError` if the parameters are invalid.
        """
        request = spanner_database_admin_pb2.UpdateDatabaseDdlRequest(
            database=database,
            statements=statements,
            operation_id=operation_id)
        return google.gax._OperationFuture(
            self._update_database_ddl(request, options),
            self.operations_client, empty_pb2.Empty,
            spanner_database_admin_pb2.UpdateDatabaseDdlMetadata, options)