Common Job Resource Classes¶
Base classes and helpers for job classes.
- class google.cloud.bigquery.job.base.ReservationUsage(name, slot_ms)¶
Job resource usage for a reservation.
Create new instance of ReservationUsage(name, slot_ms)
- count(value, /)¶
Return number of occurrences of value.
- index(value, start=0, stop=9223372036854775807, /)¶
Return first index of value.
Raises ValueError if the value is not present.
- name¶
Reservation name or “unreserved” for on-demand resources usage.
- slot_ms¶
Total slot milliseconds used by the reservation for a particular job.
- class google.cloud.bigquery.job.base.ScriptStackFrame(resource)[source]¶
Stack frame showing the line/column/procedure name where the current evaluation happened.
- Parameters
resource (Map[str, Any]) – JSON representation of object.
- class google.cloud.bigquery.job.base.ScriptStatistics(resource)[source]¶
Statistics for a child job of a script.
- Parameters
resource (Map[str, Any]) – JSON representation of object.
- property evaluation_kind: Optional[str]¶
Indicates the type of child job.
Possible values include
STATEMENT
andEXPRESSION
.- Type
- property stack_frames: Sequence[google.cloud.bigquery.job.base.ScriptStackFrame]¶
Stack trace where the current evaluation happened.
Shows line/column/procedure name of each frame on the stack at the point where the current evaluation happened.
The leaf frame is first, the primary script is last.
- class google.cloud.bigquery.job.base.SessionInfo(resource)[source]¶
[Preview] Information of the session if this job is part of one.
New in version 2.29.0.
- Parameters
resource (Map[str, Any]) – JSON representation of object.
- class google.cloud.bigquery.job.base.TransactionInfo(transaction_id: str)[source]¶
[Alpha] Information of a multi-statement transaction.
https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#TransactionInfo
New in version 2.24.0.
Create new instance of TransactionInfo(transaction_id,)
- count(value, /)¶
Return number of occurrences of value.
- index(value, start=0, stop=9223372036854775807, /)¶
Return first index of value.
Raises ValueError if the value is not present.
- class google.cloud.bigquery.job.base.UnknownJob(job_id, client)[source]¶
A job whose type cannot be determined.
- 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.
- Parameters
fn (Callable[Future]) – The callback to execute when the operation is complete.
- 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
- Parameters
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
Boolean indicating that the cancel request was sent.
- Return type
- 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
False
- Return type
- property configuration: google.cloud.bigquery.job.base._JobConfig¶
Job-type specific configurtion.
- property created¶
Datetime at which the job was created.
- Returns
the creation time (None until set from the server).
- Return type
Optional[datetime.datetime]
- 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
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
.reload (Optional[bool]) – If
True
, make an API call to refresh the job state of unfinished jobs before checking. DefaultTrue
.
- Returns
True if the job is complete, False otherwise.
- Return type
- property ended¶
Datetime at which the job finished.
- Returns
the end time (None until set from the server).
- Return type
Optional[datetime.datetime]
- property error_result¶
Error information about the job as a whole.
- Returns
the error information (None until set from the server).
- Return type
Optional[Mapping]
- property errors¶
Information about individual errors generated by the job.
- Returns
the error information (None until set from the server).
- Return type
Optional[List[Mapping]]
- property etag¶
ETag for the job resource.
- Returns
the ETag (None until set from the server).
- Return type
Optional[str]
- 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 bothresult
and this method rely on the exact same polling logic. The only difference is that this method does not acceptretry
andpolling
arguments but relies on the default ones instead.- Parameters
timeout (int) – How long to wait for the operation to complete.
None (If) –
indefinitely. (wait) –
- Returns
- The operation’s
error.
- Return type
Optional[google.api_core.GoogleAPICallError]
- 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
- Parameters
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
Boolean indicating existence of the job.
- Return type
- classmethod from_api_repr(resource: dict, client) google.cloud.bigquery.job.base.UnknownJob [source]¶
Construct an UnknownJob from the JSON representation.
- Parameters
resource (Dict) – JSON representation of a job.
client (google.cloud.bigquery.client.Client) – Client connected to BigQuery API.
- Returns
Job corresponding to the resource.
- Return type
- property 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
- Returns
int
- property 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
- Returns
parent job id.
- Return type
Optional[str]
- property path¶
URL path for the job’s APIs.
- Returns
the path based on project and job ID.
- Return type
- property project¶
Project bound to the job.
- Returns
the project (derived from the client).
- Return type
- reload(client=None, retry: google.api_core.retry.retry_unary.Retry = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[float] = 128)¶
API call: refresh job properties via a GET request.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/get
- Parameters
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
.
- property reservation_usage¶
Job resource usage breakdown by reservation.
- Returns
Reservation usage stats. Can be empty if not set from the server.
- Return type
- 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
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.
- Returns
This instance.
- Return type
_AsyncJob
- Raises
google.cloud.exceptions.GoogleAPICallError – if the job failed.
concurrent.futures.TimeoutError – if the job did not complete in the given timeout.
- running()¶
True if the operation is currently running.
- property script_statistics: Optional[google.cloud.bigquery.job.base.ScriptStatistics]¶
Statistics for a child job of a script.
- property self_link¶
URL for the job resource.
- Returns
the URL (None until set from the server).
- Return type
Optional[str]
- property session_info: Optional[google.cloud.bigquery.job.base.SessionInfo]¶
[Preview] Information of the session if this job is part of one.
New in version 2.29.0.
- set_exception(exception)¶
Set the Future’s exception.
- set_result(result)¶
Set the Future’s result.
- property started¶
Datetime at which the job was started.
- Returns
the start time (None until set from the server).
- Return type
Optional[datetime.datetime]
- property state¶
Status of the job.
- Returns
the state (None until set from the server).
- Return type
Optional[str]
- to_api_repr()¶
Generate a resource for the job.
- property transaction_info: Optional[google.cloud.bigquery.job.base.TransactionInfo]¶
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
google.cloud.bigquery.client.Client.list_jobs()
method with theparent_job
parameter to iterate over child jobs.New in version 2.24.0.