Module dataset (3.29.0)

Define API Datasets.

Classes

AccessEntry

AccessEntry(
 role: typing.Optional[str] = None,
 entity_type: typing.Optional[str] = None,
 entity_id: typing.Optional[typing.Union[typing.Dict[str, typing.Any], str]] = None,
)

Represents grant of an access role to an entity.

An entry must have exactly one of the allowed xref_EntityTypes. If anything but view, routine, or dataset are set, a role is also required. role is omitted for view, routine, dataset, because they are always read-only.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets.

Parameters
Name	Description
`role`	`typing.Optional[str]` Role granted to the entity. The following string values are supported: `'READER'`, `'WRITER'`, `'OWNER'`. It may also be :data:`None` if the `entity_type` is `view`, `routine`, or `dataset`.
`entity_type`	`typing.Optional[str]` Type of entity being granted the role. See EntityTypes for supported types.
`entity_id`	`typing.Union[typing.Dict[str, typing.Any], str, NoneType]` If the `entity_type` is not 'view', 'routine', or 'dataset', the `entity_id` is the `str` ID of the entity being granted the role. If the `entity_type` is 'view' or 'routine', the `entity_id` is a `dict` representing the view or routine from a different dataset to grant access to in the following format for views:: { 'projectId': string, 'datasetId': string, 'tableId': string } For routines:: { 'projectId': string, 'datasetId': string, 'routineId': string } If the `entity_type` is 'dataset', the `entity_id` is a `dict` that includes a 'dataset' field with a `dict` representing the dataset and a 'target_types' field with a `str` value of the dataset's resource type:: { 'dataset': { 'projectId': string, 'datasetId': string, }, 'target_types: 'VIEWS' }

Exceptions
Type	Description
`ValueError`	If a `view`, `routine`, or `dataset` has `role` set, or a non `view`, non `routine`, and non `dataset` does not have a `role` set. .. rubric:: Examples >>> entry = AccessEntry('OWNER', 'userByEmail', 'user@example.com') >>> view = { ... 'projectId': 'my-project', ... 'datasetId': 'my_dataset', ... 'tableId': 'my_table' ... } >>> entry = AccessEntry(None, 'view', view)

Dataset

Dataset(dataset_ref)

Datasets are containers for tables.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource-dataset

Parameter
Name	Description
`dataset_ref`	`Union[google.cloud.bigquery.dataset.DatasetReference, str]` A pointer to a dataset. If `dataset_ref` is a string, it must include both the project ID and the dataset ID, separated by `.`.

DatasetListItem

DatasetListItem(resource)

A read-only dataset resource from a list operation.

For performance reasons, the BigQuery API only includes some of the dataset properties when listing datasets. Notably, xref_access_entries is missing.

For a full list of the properties that the BigQuery API returns, see the REST documentation for datasets.list <https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/list>_.

Parameter
Name	Description
`resource`	`Dict[str, str]` A dataset-like resource object from a dataset list response. A `datasetReference` property is required.

Exceptions
Type	Description
`ValueError`	If `datasetReference` or one of its required members is missing from `resource`.

DatasetReference

DatasetReference(project: str, dataset_id: str)

DatasetReferences are pointers to datasets.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#datasetreference

Parameters
Name	Description
`project`	`str` The ID of the project
`dataset_id`	`str` The ID of the dataset

Exceptions
Type	Description
`ValueError`	If either argument is not of type `str`.

Module dataset (3.29.0) Stay organized with collections Save and categorize content based on your preferences.