Source code for azure.mgmt.datafactory.models.google_big_query_object_dataset_py3

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from .dataset_py3 import Dataset


[docs]class GoogleBigQueryObjectDataset(Dataset): """Google BigQuery service dataset. All required parameters must be populated in order to send to Azure. :param additional_properties: Unmatched properties from the message are deserialized this collection :type additional_properties: dict[str, object] :param description: Dataset description. :type description: str :param structure: Columns that define the structure of the dataset. Type: array (or Expression with resultType array), itemType: DatasetDataElement. :type structure: object :param schema: Columns that define the physical type schema of the dataset. Type: array (or Expression with resultType array), itemType: DatasetSchemaDataElement. :type schema: object :param linked_service_name: Required. Linked service reference. :type linked_service_name: ~azure.mgmt.datafactory.models.LinkedServiceReference :param parameters: Parameters for dataset. :type parameters: dict[str, ~azure.mgmt.datafactory.models.ParameterSpecification] :param annotations: List of tags that can be used for describing the Dataset. :type annotations: list[object] :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the root level. :type folder: ~azure.mgmt.datafactory.models.DatasetFolder :param type: Required. Constant filled by server. :type type: str :param table_name: This property will be retired. Please consider using database + table properties instead. :type table_name: object :param table: The table name of the Google BigQuery. Type: string (or Expression with resultType string). :type table: object :param dataset: The database name of the Google BigQuery. Type: string (or Expression with resultType string). :type dataset: object """ _validation = { 'linked_service_name': {'required': True}, 'type': {'required': True}, } _attribute_map = { 'additional_properties': {'key': '', 'type': '{object}'}, 'description': {'key': 'description', 'type': 'str'}, 'structure': {'key': 'structure', 'type': 'object'}, 'schema': {'key': 'schema', 'type': 'object'}, 'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'}, 'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'}, 'annotations': {'key': 'annotations', 'type': '[object]'}, 'folder': {'key': 'folder', 'type': 'DatasetFolder'}, 'type': {'key': 'type', 'type': 'str'}, 'table_name': {'key': 'typeProperties.tableName', 'type': 'object'}, 'table': {'key': 'typeProperties.table', 'type': 'object'}, 'dataset': {'key': 'typeProperties.dataset', 'type': 'object'}, } def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, schema=None, parameters=None, annotations=None, folder=None, table_name=None, table=None, dataset=None, **kwargs) -> None: super(GoogleBigQueryObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs) self.table_name = table_name self.table = table self.dataset = dataset self.type = 'GoogleBigQueryObject'