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ExtractJob
(
job_id
,
source
,
destination_uris
,
client
,
job_config
=
None
)
Asynchronous job: extract data from a table into Cloud Storage.
Parameters
job_id
str
the job's ID.
source
Union[ google.cloud.bigquery.table.TableReference
, google.cloud.bigquery.model.ModelReference
]
Table or Model from which data is to be loaded or extracted.
destination_uris
List[str]
URIs describing where the extracted data will be written in Cloud Storage, using the format gs://<bucket_name>/<object_name_or_glob>
.
client
job_config
Optional[ google.cloud.bigquery.job.ExtractJobConfig
]
Extra configuration options for the extract job.
Properties
compression
See compression .
configuration
The configuration for this extract job.
destination_format
See destination_format .
destination_uri_file_counts
Return file counts from job statistics, if present.
List[int]
destination_uris
List[str]: URIs describing where the extracted data will be
written in Cloud Storage, using the format gs://<bucket_name>/<object_name_or_glob>
.
field_delimiter
See field_delimiter .
print_header
See print_header .
source
Union[ google.cloud.bigquery.table.TableReference , google.cloud.bigquery.model.ModelReference ]: Table or Model from which data is to be loaded or extracted.
Methods
from_api_repr
from_api_repr
(
resource
:
dict
,
client
)
-
> google
.
cloud
.
bigquery
.
job
.
extract
.
ExtractJob
Factory: construct a job given its API representation
resource
Dict
dataset job representation returned from the API
client
google.cloud.bigquery.client.Client
Client which holds credentials and project configuration for the dataset.
google.cloud.bigquery.job.ExtractJob
resource
.to_api_repr
to_api_repr
()
Generate a resource for _begin
.
