- 3.25.0 (latest)
- 3.24.0
- 3.23.1
- 3.22.0
- 3.21.0
- 3.20.1
- 3.19.0
- 3.18.0
- 3.17.2
- 3.16.0
- 3.15.0
- 3.14.1
- 3.13.0
- 3.12.0
- 3.11.4
- 3.4.0
- 3.3.6
- 3.2.0
- 3.1.0
- 3.0.1
- 2.34.4
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.1
- 2.29.0
- 2.28.1
- 2.27.1
- 2.26.0
- 2.25.2
- 2.24.1
- 2.23.3
- 2.22.1
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.1
- 2.15.0
- 2.14.0
- 2.13.1
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.2
- 2.5.0
- 2.4.0
- 2.3.1
- 2.2.0
- 2.1.0
- 2.0.0
- 1.28.2
- 1.27.2
- 1.26.1
- 1.25.0
- 1.24.0
- 1.23.1
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
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 |
Properties
dataset_id
str: Dataset ID.
path
str: URL path for the dataset based on project and dataset ID.
project
str: Project ID of the dataset.
Methods
from_api_repr
from_api_repr(resource: dict) -> google.cloud.bigquery.dataset.DatasetReference
Factory: construct a dataset reference given its API representation
Parameter | |
---|---|
Name | Description |
resource |
Dict[str, str]
Dataset reference resource representation returned from the API |
Returns | |
---|---|
Type | Description |
google.cloud.bigquery.dataset.DatasetReference |
Dataset reference parsed from resource . |
from_string
from_string(
dataset_id: str, default_project: typing.Optional[str] = None
) -> google.cloud.bigquery.dataset.DatasetReference
Construct a dataset reference from dataset ID string.
Parameters | |
---|---|
Name | Description |
dataset_id |
str
A dataset ID in standard SQL format. If |
default_project |
Optional[str]
The project ID to use when |
Exceptions | |
---|---|
Type | Description |
ValueError |
If dataset_id is not a fully-qualified dataset ID in standard SQL format. |
Returns | |
---|---|
Type | Description |
DatasetReference .. rubric:: Examples >>> DatasetReference.from_string('my-project-id.some_dataset') DatasetReference('my-project-id', 'some_dataset') |
Dataset reference parsed from 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 reference
Returns | |
---|---|
Type | Description |
Dict[str, str] |
dataset reference represented as an API resource |