jobs

Creates, updates, deletes, gets or lists a jobs resource.

Overview

Name	jobs
Type	Resource
Id	google.ml.jobs

Fields

The following fields are returned by SELECT queries:

projects_jobs_get

Name	Datatype	Description
createTime	string (google-datetime)	Output only. When the job was created.
endTime	string (google-datetime)	Output only. When the job processing was completed.
errorMessage	string	Output only. The details of a failure or a cancellation.
etag	string (byte)	etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a job from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform job updates in order to avoid race conditions: An etag is returned in the response to GetJob, and systems are expected to put that etag in the request to UpdateJob to ensure that their change will be applied to the same version of the job.
jobId	string	Required. The user-specified id of the job.
jobPosition	string (int64)	Output only. It's only effect when the job is in QUEUED state. If it's positive, it indicates the job's position in the job scheduler. It's 0 when the job is already scheduled.
labels	object	Optional. One or more labels that you can add, to organize your jobs. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.
predictionInput	object	Input parameters to create a prediction job. (id: GoogleCloudMlV1__PredictionInput)
predictionOutput	object	The current prediction job result. (id: GoogleCloudMlV1__PredictionOutput)
startTime	string (google-datetime)	Output only. When the job processing was started.
state	string	Output only. The detailed state of a job.
trainingInput	object	Input parameters to create a training job. (id: GoogleCloudMlV1__TrainingInput)
trainingOutput	object	The current training job result. (id: GoogleCloudMlV1__TrainingOutput)

projects_jobs_list

Name	Datatype	Description
createTime	string (google-datetime)	Output only. When the job was created.
endTime	string (google-datetime)	Output only. When the job processing was completed.
errorMessage	string	Output only. The details of a failure or a cancellation.
etag	string (byte)	etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a job from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform job updates in order to avoid race conditions: An etag is returned in the response to GetJob, and systems are expected to put that etag in the request to UpdateJob to ensure that their change will be applied to the same version of the job.
jobId	string	Required. The user-specified id of the job.
jobPosition	string (int64)	Output only. It's only effect when the job is in QUEUED state. If it's positive, it indicates the job's position in the job scheduler. It's 0 when the job is already scheduled.
labels	object	Optional. One or more labels that you can add, to organize your jobs. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.
predictionInput	object	Input parameters to create a prediction job. (id: GoogleCloudMlV1__PredictionInput)
predictionOutput	object	The current prediction job result. (id: GoogleCloudMlV1__PredictionOutput)
startTime	string (google-datetime)	Output only. When the job processing was started.
state	string	Output only. The detailed state of a job.
trainingInput	object	Input parameters to create a training job. (id: GoogleCloudMlV1__TrainingInput)
trainingOutput	object	The current training job result. (id: GoogleCloudMlV1__TrainingOutput)

Methods

The following methods are available for this resource:

Name	Accessible by	Required Params	Optional Params	Description
projects_jobs_get	select	projectsId, jobsId		Describes a job.
projects_jobs_list	select	projectsId	filter, pageToken, pageSize	Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}.
projects_jobs_create	insert	projectsId		Creates a training or a batch prediction job.
projects_jobs_patch	update	projectsId, jobsId	updateMask	Updates a specific job resource. Currently the only supported fields to update are labels.
projects_jobs_cancel	exec	projectsId, jobsId		Cancels a running job.

Parameters

Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.

Name	Datatype	Description
jobsId	string
projectsId	string
filter	string
pageSize	integer (int32)
pageToken	string
updateMask	string (google-fieldmask)

SELECT examples

projects_jobs_get

Describes a job.

SELECT
createTime,
endTime,
errorMessage,
etag,
jobId,
jobPosition,
labels,
predictionInput,
predictionOutput,
startTime,
state,
trainingInput,
trainingOutput
FROM google.ml.jobs
WHERE projectsId = '{{ projectsId }}' -- required
AND jobsId = '{{ jobsId }}' -- required
;

projects_jobs_list

Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}.

SELECT
createTime,
endTime,
errorMessage,
etag,
jobId,
jobPosition,
labels,
predictionInput,
predictionOutput,
startTime,
state,
trainingInput,
trainingOutput
FROM google.ml.jobs
WHERE projectsId = '{{ projectsId }}' -- required
AND filter = '{{ filter }}'
AND pageToken = '{{ pageToken }}'
AND pageSize = '{{ pageSize }}'
;

INSERT examples

projects_jobs_create

Creates a training or a batch prediction job.

INSERT INTO google.ml.jobs (
data__jobId,
data__trainingInput,
data__predictionInput,
data__createTime,
data__startTime,
data__endTime,
data__state,
data__errorMessage,
data__trainingOutput,
data__predictionOutput,
data__labels,
data__etag,
projectsId
)
SELECT 
'{{ jobId }}',
'{{ trainingInput }}',
'{{ predictionInput }}',
'{{ createTime }}',
'{{ startTime }}',
'{{ endTime }}',
'{{ state }}',
'{{ errorMessage }}',
'{{ trainingOutput }}',
'{{ predictionOutput }}',
'{{ labels }}',
'{{ etag }}',
'{{ projectsId }}'
RETURNING
createTime,
endTime,
errorMessage,
etag,
jobId,
jobPosition,
labels,
predictionInput,
predictionOutput,
startTime,
state,
trainingInput,
trainingOutput
;

Manifest

# Description fields are for documentation purposes
- name: jobs
  props:
    - name: projectsId
      value: string
      description: Required parameter for the jobs resource.
    - name: jobId
      value: string
      description: >
        Required. The user-specified id of the job.
        
    - name: trainingInput
      value: object
      description: >
        Input parameters to create a training job.
        
    - name: predictionInput
      value: object
      description: >
        Input parameters to create a prediction job.
        
    - name: createTime
      value: string
      description: >
        Output only. When the job was created.
        
    - name: startTime
      value: string
      description: >
        Output only. When the job processing was started.
        
    - name: endTime
      value: string
      description: >
        Output only. When the job processing was completed.
        
    - name: state
      value: string
      description: >
        Output only. The detailed state of a job.
        
      valid_values: ['STATE_UNSPECIFIED', 'QUEUED', 'PREPARING', 'RUNNING', 'SUCCEEDED', 'FAILED', 'CANCELLING', 'CANCELLED']
    - name: errorMessage
      value: string
      description: >
        Output only. The details of a failure or a cancellation.
        
    - name: trainingOutput
      value: object
      description: >
        The current training job result.
        
    - name: predictionOutput
      value: object
      description: >
        The current prediction job result.
        
    - name: labels
      value: object
      description: >
        Optional. One or more labels that you can add, to organize your jobs. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.
        
    - name: etag
      value: string
      description: >
        `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a job from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform job updates in order to avoid race conditions: An `etag` is returned in the response to `GetJob`, and systems are expected to put that etag in the request to `UpdateJob` to ensure that their change will be applied to the same version of the job.
        

UPDATE examples

projects_jobs_patch

Updates a specific job resource. Currently the only supported fields to update are labels.

UPDATE google.ml.jobs
SET 
data__jobId = '{{ jobId }}',
data__trainingInput = '{{ trainingInput }}',
data__predictionInput = '{{ predictionInput }}',
data__createTime = '{{ createTime }}',
data__startTime = '{{ startTime }}',
data__endTime = '{{ endTime }}',
data__state = '{{ state }}',
data__errorMessage = '{{ errorMessage }}',
data__trainingOutput = '{{ trainingOutput }}',
data__predictionOutput = '{{ predictionOutput }}',
data__labels = '{{ labels }}',
data__etag = '{{ etag }}'
WHERE 
projectsId = '{{ projectsId }}' --required
AND jobsId = '{{ jobsId }}' --required
AND updateMask = '{{ updateMask}}'
RETURNING
createTime,
endTime,
errorMessage,
etag,
jobId,
jobPosition,
labels,
predictionInput,
predictionOutput,
startTime,
state,
trainingInput,
trainingOutput;

Lifecycle Methods

projects_jobs_cancel

Cancels a running job.

EXEC google.ml.jobs.projects_jobs_cancel 
@projectsId='{{ projectsId }}' --required, 
@jobsId='{{ jobsId }}' --required
;