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CopyJob
(
job_id
,
sources
,
destination
,
client
,
job_config
=
None
)
Asynchronous job: copy data into a table from other tables.
Parameters
job_id
str
the job's ID, within the project belonging to client
.
sources
destination
client
google.cloud.bigquery.client.Client
A client which holds credentials and project configuration for the dataset (which requires a project).
job_config
Properties
configuration
The configuration for this copy job.
create_disposition
See create_disposition .
created
Datetime at which the job was created.
Optional[datetime.datetime]
destination
google.cloud.bigquery.table.TableReference : Table into which data is to be loaded.
destination_encryption_configuration
google.cloud.bigquery.encryption_configuration.EncryptionConfiguration : Custom encryption configuration for the destination table.
Custom encryption configuration (e.g., Cloud KMS keys) or :data: None
if using default encryption.
ended
Datetime at which the job finished.
Optional[datetime.datetime]
error_result
Error information about the job as a whole.
Optional[Mapping]
errors
Information about individual errors generated by the job.
Optional[List[Mapping]]
etag
ETag for the job resource.
Optional[str]
job_id
str: ID of the job.
job_type
Type of job.
str
labels
Dict[str, str]: Labels for the job.
location
str: Location where the job runs.
num_child_jobs
The number of child jobs executed.
See: https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobStatistics.FIELDS.num_child_jobs
parent_job_id
Return the ID of the parent job.
See: https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobStatistics.FIELDS.parent_job_id
Optional[str]
path
URL path for the job's APIs.
str
project
Project bound to the job.
str
reservation_usage
Job resource usage breakdown by reservation.
script_statistics
Statistics for a child job of a script.
self_link
URL for the job resource.
Optional[str]
session_info
[Preview] Information of the session if this job is part of one.
.. versionadded:: 2.29.0
sources
List[ google.cloud.bigquery.table.TableReference ]): Table(s) from which data is to be loaded.
started
Datetime at which the job was started.
Optional[datetime.datetime]
state
Status of the job.
Optional[str]
transaction_info
Information of the multi-statement transaction if this job is part of one.
Since a scripting query job can execute multiple transactions, this
property is only expected on child jobs. Use the list_jobs
method with the parent_job
parameter to iterate over child jobs.
.. versionadded:: 2.24.0
user_email
E-mail address of user who submitted the job.
Optional[str]
write_disposition
See write_disposition .
Methods
add_done_callback
add_done_callback
(
fn
)
Add a callback to be executed when the operation is complete.
If the operation is not already complete, this will start a helper thread to poll for the status of the operation in the background.
fn
Callable[Future]
The callback to execute when the operation is complete.
cancel
cancel
(
client
=
None
,
retry
:
typing
.
Optional
[
google
.
api_core
.
retry
.
retry_unary
.
Retry
]
=
< google
.
api_core
.
retry
.
retry_unary
.
Retry
object
> ,
timeout
:
typing
.
Optional
[
float
]
=
None
)
-
> bool
API call: cancel job via a POST request
See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/cancel
retry
Optional[google.api_core.retry.Retry]
How to retry the RPC.
timeout
Optional[float]
The number of seconds to wait for the underlying HTTP transport before using retry
client
Optional[ google.cloud.bigquery.client.Client
]
the client to use. If not passed, falls back to the client
stored on the current dataset.
bool
cancelled
cancelled
()
Check if the job has been cancelled.
This always returns False. It's not possible to check if a job was
cancelled in the API. This method is here to satisfy the interface
for google.api_core.future.Future
.
bool
done
done
(
retry
:
google
.
api_core
.
retry
.
retry_unary
.
Retry
=
< google
.
api_core
.
retry
.
retry_unary
.
Retry
object
> ,
timeout
:
typing
.
Optional
[
float
]
=
None
,
reload
:
bool
=
True
)
-
> bool
Checks if the job is complete.
timeout
Optional[float]
The number of seconds to wait for the underlying HTTP transport before using retry
.
reload
Optional[bool]
If True
, make an API call to refresh the job state of unfinished jobs before checking. Default True
.
retry
Optional[google.api_core.retry.Retry]
How to retry the RPC. If the job state is DONE
, retrying is aborted early, as the job will not change anymore.
bool
exception
exception
(
timeout
=
< object
object
> )
Get the exception from the operation, blocking if necessary.
See the documentation for the result
method for details on how
this method operates, as both result
and this method rely on the
exact same polling logic. The only difference is that this method does
not accept retry
and polling
arguments but relies on the default ones
instead.
timeout
int
How long to wait for the operation to complete.
Optional[google.api_core.GoogleAPICallError]
exists
exists
(
client
=
None
,
retry
:
google
.
api_core
.
retry
.
retry_unary
.
Retry
=
< google
.
api_core
.
retry
.
retry_unary
.
Retry
object
> ,
timeout
:
typing
.
Optional
[
float
]
=
None
)
-
> bool
API call: test for the existence of the job via a GET request
See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/get
timeout
Optional[float]
The number of seconds to wait for the underlying HTTP transport before using retry
.
client
Optional[ google.cloud.bigquery.client.Client
]
the client to use. If not passed, falls back to the client
stored on the current dataset.
retry
Optional[google.api_core.retry.Retry]
How to retry the RPC.
bool
from_api_repr
from_api_repr
(
resource
,
client
)
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.CopyJob
resource
.reload
reload
(
client
=
None
,
retry
:
google
.
api_core
.
retry
.
retry_unary
.
Retry
=
< google
.
api_core
.
retry
.
retry_unary
.
Retry
object
> ,
timeout
:
typing
.
Optional
[
float
]
=
None
)
API call: refresh job properties via a GET request.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/get
timeout
Optional[float]
The number of seconds to wait for the underlying HTTP transport before using retry
.
client
Optional[ google.cloud.bigquery.client.Client
]
the client to use. If not passed, falls back to the client
stored on the current dataset.
retry
Optional[google.api_core.retry.Retry]
How to retry the RPC.
result
result
(
retry
:
typing
.
Optional
[
google
.
api_core
.
retry
.
retry_unary
.
Retry
]
=
< google
.
api_core
.
retry
.
retry_unary
.
Retry
object
> ,
timeout
:
typing
.
Optional
[
float
]
=
None
)
-
> google
.
cloud
.
bigquery
.
job
.
base
.
_AsyncJob
Start the job and wait for it to complete and get the result.
retry
Optional[google.api_core.retry.Retry]
How to retry the RPC. If the job state is DONE
, retrying is aborted early, as the job will not change anymore.
timeout
Optional[float]
The number of seconds to wait for the underlying HTTP transport before using retry
. If multiple requests are made under the hood, timeout
applies to each individual request.
google.cloud.exceptions.GoogleAPICallError
concurrent.futures.TimeoutError
_AsyncJob
running
running
()
True if the operation is currently running.
set_exception
set_exception
(
exception
)
Set the Future's exception.
set_result
set_result
(
result
)
Set the Future's result.
to_api_repr
to_api_repr
()
Generate a resource for _begin
.