Class Dataset (3.16.0)

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 `.`.

Properties

access_entries

List[google.cloud.bigquery.dataset.AccessEntry]: Dataset's access entries.

role augments the entity type and must be present unless the entity type is view or routine.

Exceptions
Type	Description
`TypeError`	If 'value' is not a sequence
`ValueError`	If any item in the sequence is not an AccessEntry.

created

Union[datetime.datetime, None]: Datetime at which the dataset was created (:data:None until set from the server).

dataset_id

str: Dataset ID.

default_encryption_configuration

google.cloud.bigquery.encryption_configuration.EncryptionConfiguration: Custom encryption configuration for all tables in the dataset.

Custom encryption configuration (e.g., Cloud KMS keys) or :data:None if using default encryption.

See protecting data with Cloud KMS keys <https://cloud.google.com/bigquery/docs/customer-managed-encryption>;_ in the BigQuery documentation.

default_partition_expiration_ms

Optional[int]: The default partition expiration for all partitioned tables in the dataset, in milliseconds.

Once this property is set, all newly-created partitioned tables in the dataset will have an time_paritioning.expiration_ms property set to this value, and changing the value will only affect new tables, not existing ones. The storage in a partition will have an expiration time of its partition time plus this value.

Setting this property overrides the use of default_table_expiration_ms for partitioned tables: only one of default_table_expiration_ms and default_partition_expiration_ms will be used for any new partitioned table. If you provide an explicit time_partitioning.expiration_ms when creating or updating a partitioned table, that value takes precedence over the default partition expiration time indicated by this property.

default_rounding_mode

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.

Exceptions
Type	Description
`ValueError`	for invalid value types.

default_table_expiration_ms

Union[int, None]: Default expiration time for tables in the dataset (defaults to :data:None).

Exceptions
Type	Description
`ValueError`	For invalid value types.

description

Optional[str]: Description of the dataset as set by the user (defaults to :data:None).

Exceptions
Type	Description
`ValueError`	for invalid value types.

etag

Union[str, None]: ETag for the dataset resource (:data:None until set from the server).

friendly_name

Union[str, None]: Title of the dataset as set by the user (defaults to :data:None).

Exceptions
Type	Description
`ValueError`	for invalid value types.

full_dataset_id

Union[str, None]: ID for the dataset resource (:data:None until set from the server)

In the format project_id:dataset_id.

is_case_insensitive

Optional[bool]: True if the dataset and its table names are case-insensitive, otherwise False. By default, this is False, which means the dataset and its table names are case-sensitive. This field does not affect routine references.

Exceptions
Type	Description
`ValueError`	for invalid value types.

labels

Dict[str, str]: Labels for the dataset.

This method always returns a dict. To change a dataset's labels, modify the dict, then call xref_update_dataset. To delete a label, set its value to :data:None before updating.

Exceptions
Type	Description
`ValueError`	for invalid value types.

location

Union[str, None]: Location in which the dataset is hosted as set by the user (defaults to :data:None).

Exceptions
Type	Description
`ValueError`	for invalid value types.

max_time_travel_hours

Optional[int]: Defines the time travel window in hours. The value can be from 48 to 168 hours (2 to 7 days), and in multiple of 24 hours (48, 72, 96, 120, 144, 168). The default value is 168 hours if this is not set.

modified

Union[datetime.datetime, None]: Datetime at which the dataset was last modified (:data:None until set from the server).

path

str: URL path for the dataset based on project and dataset ID.

project

str: Project ID of the project bound to the dataset.

reference

google.cloud.bigquery.dataset.DatasetReference: A reference to this dataset.

self_link

Union[str, None]: URL for the dataset resource (:data:None until set from the server).

storage_billing_model

Union[str, None]: StorageBillingModel of the dataset as set by the user (defaults to :data:None).

Set the value to one of 'LOGICAL', 'PHYSICAL', or 'STORAGE_BILLING_MODEL_UNSPECIFIED'. This change takes 24 hours to take effect and you must wait 14 days before you can change the storage billing model again.

See storage billing model <https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#Dataset.FIELDS.storage_billing_model>; in REST API docs and updating the storage billing model <https://cloud.google.com/bigquery/docs/updating-datasets#update_storage_billing_models>; guide.

Exceptions
Type	Description
`ValueError`	for invalid value types.

Methods

from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.dataset.Dataset

Factory: construct a dataset given its API representation

Returns
Type	Description
`google.cloud.bigquery.dataset.Dataset`	Dataset parsed from `resource`.

from_string

from_string(full_dataset_id: str) -> google.cloud.bigquery.dataset.Dataset

Construct a dataset from fully-qualified dataset ID.

Parameter
Name	Description
`full_dataset_id`	`str` A fully-qualified dataset ID in standard SQL format. Must include both the project ID and the dataset ID, separated by `.`.

Exceptions
Type	Description
`ValueError`	If `full_dataset_id` is not a fully-qualified dataset ID in standard SQL format.

Returns
Type	Description
`Dataset .. rubric:: Examples >>> Dataset.from_string('my-project-id.some_dataset') Dataset(DatasetReference('my-project-id', 'some_dataset'))`	Dataset parsed from `full_dataset_id`.

model

model(model_id)

Constructs a ModelReference.

Parameter
Name	Description
`model_id`	`str` the ID of the model.

Returns
Type	Description
`google.cloud.bigquery.model.ModelReference`	A ModelReference for a model in this dataset.

routine

routine(routine_id)

Constructs a RoutineReference.

Parameter
Name	Description
`routine_id`	`str` the ID of the routine.

Returns
Type	Description
`google.cloud.bigquery.routine.RoutineReference`	A RoutineReference for a routine in this dataset.

table

table(table_id: str) -> google.cloud.bigquery.table.TableReference

Constructs a TableReference.

Parameter
Name	Description
`table_id`	`str` The ID of the table.

Returns
Type	Description
`google.cloud.bigquery.table.TableReference`	A table reference for a table in this dataset.

to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this dataset

Returns
Type	Description
`Dict[str, object]`	The dataset represented as an API resource

init

__init__(dataset_ref) -> None

Initialize self. See help(type(self)) for accurate signature.

Dataset

Dataset(dataset_ref)