Class CloudSchedulerClient (1.3.2)

Version 1.3.2

• 2.14.0 (latest)
• 2.13.5
• 2.12.0
• 2.11.3
• 2.10.0
• 2.9.1
• 2.8.0
• 2.7.3
• 2.6.4
• 2.5.1
• 2.4.0
• 2.3.4
• 2.2.0
• 2.1.1
• 2.0.0
• 1.3.2
• 1.2.1

CloudSchedulerClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

The Cloud Scheduler API allows external entities to reliably schedule asynchronous jobs.

Methods

CloudSchedulerClient

CloudSchedulerClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters

Name	Description
channel	grpc.Channel DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.
credentials	google.auth.credentials.Credentials The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport; doing so will raise an exception.
client_config	dict DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used.
client_info	google.api_core.gapic_v1.client_info.ClientInfo The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.
client_options	Union[dict, google.api_core.client_options.ClientOptions] Client options used to set user options on the client. API Endpoint should be set through client_options.

create_job

create_job(parent, job, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates a job.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

parent = client.location_path('[PROJECT]', '[LOCATION]')

TODO: Initialize job:

job = {}

response = client.create_job(parent, job)

Parameters

Name	Description
parent	str Required. The location name. For example: projects/PROJECT_ID/locations/LOCATION_ID.
job	Union[dict, Job] Required. The job to add. The user can optionally specify a name for the job in name. name cannot be the same as an existing job. If a name is not specified then the system will generate a random unique name that will be returned (name) in the response. If a dict is provided, it must be of the same form as the protobuf message Job
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

delete_job

delete_job(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes a job.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')

client.delete_job(name)

Parameters

Name	Description
name	str Required. The job name. For example: projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

from_service_account_file

from_service_account_file(filename, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter

Name	Description
filename	str The path to the service account private key json file.

Returns

Type	Description
CloudSchedulerClient	The constructed client.

from_service_account_json

from_service_account_json(filename, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter

Name	Description
filename	str The path to the service account private key json file.

Returns

Type	Description
CloudSchedulerClient	The constructed client.

get_job

get_job(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Gets a job.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')

response = client.get_job(name)

Parameters

Name	Description
name	str Required. The job name. For example: projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

job_path

job_path(project, location, job)

Return a fully-qualified job string.

list_jobs

list_jobs(parent, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Lists jobs.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

parent = client.location_path('[PROJECT]', '[LOCATION]')

Iterate over all results

for element in client.list_jobs(parent): ... # process element ... pass

Alternatively:

Iterate over results one page at a time

for page in client.list_jobs(parent).pages: ... for element in page: ... # process element ... pass

Parameters

Name	Description
parent	str Required. The location name. For example: projects/PROJECT_ID/locations/LOCATION_ID.
page_size	int The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

location_path

location_path(project, location)

Return a fully-qualified location string.

pause_job

pause_job(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Pauses a job.

If a job is paused then the system will stop executing the job until it is re-enabled via ResumeJob. The state of the job is stored in state; if paused it will be set to Job.State.PAUSED. A job must be in Job.State.ENABLED to be paused.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')

response = client.pause_job(name)

Parameters

Name	Description
name	str Required. The job name. For example: projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

resume_job

resume_job(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Resume a job.

This method reenables a job after it has been Job.State.PAUSED. The state of a job is stored in Job.state; after calling this method it will be set to Job.State.ENABLED. A job must be in Job.State.PAUSED to be resumed.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')

response = client.resume_job(name)

Parameters

Name	Description
name	str Required. The job name. For example: projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

run_job

run_job(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Forces a job to run now.

When this method is called, Cloud Scheduler will dispatch the job, even if the job is already running.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')

response = client.run_job(name)

Parameters

Name	Description
name	str Required. The job name. For example: projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

update_job

update_job(job, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates a job.

If successful, the updated Job is returned. If the job does not exist, NOT_FOUND is returned.

If UpdateJob does not successfully return, it is possible for the job to be in an Job.State.UPDATE_FAILED state. A job in this state may not be executed. If this happens, retry the UpdateJob request until a successful response is received.

.. rubric:: Example

from google.cloud import scheduler_v1beta1

client = scheduler_v1beta1.CloudSchedulerClient()

TODO: Initialize job:

job = {}

response = client.update_job(job)

Parameters

Name	Description
job	Union[dict, Job] Required. The new job properties. name must be specified. Output only fields cannot be modified using UpdateJob. Any value specified for an output only field will be ignored. If a dict is provided, it must be of the same form as the protobuf message Job
update_mask	Union[dict, FieldMask] A mask used to specify which fields of the job are being updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.