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Dataset
(
dataset_ref
)
Datasets are containers for tables.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource-dataset
Parameter
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 .
.
Inheritance
builtins.object > DatasetProperties
access_entries
List[ google.cloud.bigquery.dataset.AccessEntry ]: Dataset's access entries.
role
augments the entity type and must be present unlessthe
entity type is view
or routine
.
TypeError
ValueError
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_table_expiration_ms
Union[int, None]: Default expiration time for tables in the dataset
(defaults to :data: None
).
ValueError
description
Optional[str]: Description of the dataset as set by the user
(defaults to :data: None
).
ValueError
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
).
ValueError
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.
ValueError
location
Union[str, None]: Location in which the dataset is hosted as set by
the user (defaults to :data: None
).
ValueError
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
google.cloud.bigquery.dataset.Dataset
resource
.from_string
from_string
(
full_dataset_id
:
str
)
Construct a dataset from fully-qualified dataset ID.
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 .
.
ValueError
full_dataset_id
is not a fully-qualified dataset ID in standard SQL format.Dataset .. rubric:: Examples >>> Dataset.from_string('my-project-id.some_dataset') Dataset(DatasetReference('my-project-id', 'some_dataset'))
full_dataset_id
.model
model
(
model_id
)
Constructs a ModelReference.
model_id
str
the ID of the model.
routine
routine
(
routine_id
)
Constructs a RoutineReference.
routine_id
str
the ID of the routine.
table
table
(
table_id
:
str
)
Constructs a TableReference.
table_id
str
The ID of the table.
to_api_repr
to_api_repr
()
Construct the API resource representation of this dataset
Dict[str, object]
__init__
__init__
(
dataset_ref
)
Initialize self. See help(type(self)) for accurate signature.
Dataset
Dataset
(
dataset_ref
)
Datasets are containers for tables.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource-dataset
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 .
.