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Showing content from https://cloud.google.com/python/docs/reference/bigquery/3.1.0/google.cloud.bigquery.dataset.Dataset below:

Class Dataset (3.1.0) | Python client library

Parameter

Inheritancebuiltins.object > Dataset

Properties access_entries 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 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_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.

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. 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).

Methods from_api_repr

from_api_repr(resource: dict)

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)

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

Constructs a ModelReference.

Parameter Name Description model_id str

the ID of the model.

Returns routine

Constructs a RoutineReference.

Parameter Name Description routine_id str

the ID of the routine.

Returns table

Constructs a TableReference.

Parameter Name Description table_id str

The ID of the table.

Returns to_api_repr

Construct the API resource representation of this dataset

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

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

Dataset Parameter

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