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Showing content from https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.UnknownJob below:

Class UnknownJob (3.35.1) | Python client library

UnknownJob(job_id, client)

A job whose type cannot be determined.

Properties configuration

Job-type specific configurtion.

created

Datetime at which the job was created.

Returns Type Description Optional[datetime.datetime] the creation time (None until set from the server). ended

Datetime at which the job finished.

Returns Type Description Optional[datetime.datetime] the end time (None until set from the server). error_result

Error information about the job as a whole.

Returns Type Description Optional[Mapping] the error information (None until set from the server). errors

Information about individual errors generated by the job.

Returns Type Description Optional[List[Mapping]] the error information (None until set from the server). etag

ETag for the job resource.

Returns Type Description Optional[str] the ETag (None until set from the server). job_id

str: ID of the job.

job_type

Type of job.

Returns Type Description str one of 'load', 'copy', 'extract', 'query'. labels

Dict[str, str]: Labels for the job.

location

str: Location where the job runs.

num_child_jobs parent_job_id Returns Type Description Optional[str] parent job id. path

URL path for the job's APIs.

Returns Type Description str the path based on project and job ID. project

Project bound to the job.

Returns Type Description str the project (derived from the client). reservation_id

str: Name of the primary reservation assigned to this job.

Note that this could be different than reservations reported in the reservation field if parent reservations were used to execute this job.

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.

Returns Type Description Optional[str] the URL (None until set from the server). session_info

[Preview] Information of the session if this job is part of one.

.. versionadded:: 2.29.0

started

Datetime at which the job was started.

Returns Type Description Optional[datetime.datetime] the start time (None until set from the server). state

Status of the job.

Returns Type Description Optional[str] the state (None until set from the server). 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.

Returns Type Description Optional[str] the URL (None until set from the server). Methods add_done_callback

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.

Parameter Name Description 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

Parameters Name Description 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.

timeout Optional[float]

The number of seconds to wait for the underlying HTTP transport before using retry

Returns Type Description bool Boolean indicating that the cancel request was sent. 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.

Returns Type Description bool False done

done(retry: google.api_core.retry.retry_unary.Retry = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[float] = 128, reload: bool = True) -> bool

Checks if the job is complete.

Parameters Name Description 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.

Returns Type Description bool True if the job is complete, False otherwise. 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.

Parameter Name Description timeout int

How long to wait for the operation to complete.

Returns Type Description Optional[google.api_core.GoogleAPICallError] The operation's error. 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

Parameters Name Description 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.

Returns Type Description bool Boolean indicating existence of the job. from_api_repr

from_api_repr(resource: dict, client) -> google.cloud.bigquery.job.base.UnknownJob

Construct an UnknownJob from the JSON representation.

Returns Type Description UnknownJob Job corresponding to the 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] = 128)

Parameters Name Description 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.

Parameters Name Description 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.

Exceptions Type Description google.cloud.exceptions.GoogleAPICallError if the job failed. concurrent.futures.TimeoutError if the job did not complete in the given timeout. Returns Type Description _AsyncJob This instance. running

True if the operation is currently running.

set_exception

Set the Future's exception.

set_result

Set the Future's result.

to_api_repr

Generate a resource for the job.

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