Google Cloud Ai Platform V1 Client - Class PipelineJob (1.13.1)

Version latest

• 1.13.1 (latest)
• 1.13.0
• 1.12.0
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class PipelineJob.

An instance of a machine learning PipelineJob.

Generated from protobuf message google.cloud.aiplatform.v1.PipelineJob

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ name	string Output only. The resource name of the PipelineJob.
↳ display_name	string The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
↳ create_time	Google\Protobuf\Timestamp Output only. Pipeline creation time.
↳ start_time	Google\Protobuf\Timestamp Output only. Pipeline start time.
↳ end_time	Google\Protobuf\Timestamp Output only. Pipeline end time.
↳ update_time	Google\Protobuf\Timestamp Output only. Timestamp when this PipelineJob was most recently updated.
↳ pipeline_spec	Google\Protobuf\Struct The spec of the pipeline.
↳ state	int Output only. The detailed state of the job.
↳ job_detail	PipelineJobDetail Output only. The details of pipeline run. Not available in the list view.
↳ error	Google\Rpc\Status Output only. The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
↳ labels	array|Google\Protobuf\Internal\MapField The labels with user-defined metadata to organize PipelineJob. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines. - vertex-ai-pipelines-run-billing-id, user set value will get overrided.
↳ runtime_config	PipelineJob\RuntimeConfig Runtime config of the pipeline.
↳ encryption_spec	EncryptionSpec Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
↳ service_account	string The service account that the pipeline workload runs as. If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the iam.serviceAccounts.actAs permission on this service account.
↳ network	string The full name of the Compute Engine network to which the Pipeline Job's workload should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.
↳ reserved_ip_ranges	array A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
↳ template_uri	string A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.
↳ template_metadata	PipelineTemplateMetadata Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
↳ schedule_name	string Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API.
↳ preflight_validations	bool Optional. Whether to do component level validations before job creation.

getName

Output only. The resource name of the PipelineJob.

Returns
Type	Description
string

setName

Output only. The resource name of the PipelineJob.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getDisplayName

The display name of the Pipeline.

The name can be up to 128 characters long and can consist of any UTF-8 characters.

Returns
Type	Description
string

setDisplayName

The display name of the Pipeline.

The name can be up to 128 characters long and can consist of any UTF-8 characters.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getCreateTime

Output only. Pipeline creation time.

Returns
Type	Description
Google\Protobuf\Timestamp|null

hasCreateTime

clearCreateTime

setCreateTime

Output only. Pipeline creation time.

Parameter
Name	Description
var	Google\Protobuf\Timestamp

Returns
Type	Description
$this

getStartTime

Output only. Pipeline start time.

Returns
Type	Description
Google\Protobuf\Timestamp|null

hasStartTime

clearStartTime

setStartTime

Output only. Pipeline start time.

Parameter
Name	Description
var	Google\Protobuf\Timestamp

Returns
Type	Description
$this

getEndTime

Output only. Pipeline end time.

Returns
Type	Description
Google\Protobuf\Timestamp|null

hasEndTime

clearEndTime

setEndTime

Output only. Pipeline end time.

Parameter
Name	Description
var	Google\Protobuf\Timestamp

Returns
Type	Description
$this

getUpdateTime

Output only. Timestamp when this PipelineJob was most recently updated.

Returns
Type	Description
Google\Protobuf\Timestamp|null

hasUpdateTime

clearUpdateTime

setUpdateTime

Output only. Timestamp when this PipelineJob was most recently updated.

Parameter
Name	Description
var	Google\Protobuf\Timestamp

Returns
Type	Description
$this

getPipelineSpec

The spec of the pipeline.

Returns
Type	Description
Google\Protobuf\Struct|null

hasPipelineSpec

clearPipelineSpec

setPipelineSpec

The spec of the pipeline.

Parameter
Name	Description
var	Google\Protobuf\Struct

Returns
Type	Description
$this

getState

Output only. The detailed state of the job.

Returns
Type	Description
int

setState

Output only. The detailed state of the job.

Parameter
Name	Description
var	int

Returns
Type	Description
$this

getJobDetail

Output only. The details of pipeline run. Not available in the list view.

Returns
Type	Description
PipelineJobDetail|null

hasJobDetail

clearJobDetail

setJobDetail

Output only. The details of pipeline run. Not available in the list view.

Parameter
Name	Description
var	PipelineJobDetail

Returns
Type	Description
$this

getError

Output only. The error that occurred during pipeline execution.

Only populated when the pipeline's state is FAILED or CANCELLED.

Returns
Type	Description
Google\Rpc\Status|null

hasError

clearError

setError

Output only. The error that occurred during pipeline execution.

Only populated when the pipeline's state is FAILED or CANCELLED.

Parameter
Name	Description
var	Google\Rpc\Status

Returns
Type	Description
$this

getLabels

The labels with user-defined metadata to organize PipelineJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines.

• vertex-ai-pipelines-run-billing-id, user set value will get overrided.

Returns
Type	Description
Google\Protobuf\Internal\MapField

setLabels

The labels with user-defined metadata to organize PipelineJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines.

• vertex-ai-pipelines-run-billing-id, user set value will get overrided.

Parameter
Name	Description
var	array|Google\Protobuf\Internal\MapField

Returns
Type	Description
$this

getRuntimeConfig

Runtime config of the pipeline.

Returns
Type	Description
PipelineJob\RuntimeConfig|null

hasRuntimeConfig

clearRuntimeConfig

setRuntimeConfig

Runtime config of the pipeline.

Parameter
Name	Description
var	PipelineJob\RuntimeConfig

Returns
Type	Description
$this

getEncryptionSpec

Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.

Returns
Type	Description
EncryptionSpec|null

hasEncryptionSpec

clearEncryptionSpec

setEncryptionSpec

Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.

Parameter
Name	Description
var	EncryptionSpec

Returns
Type	Description
$this

getServiceAccount

The service account that the pipeline workload runs as.

If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the iam.serviceAccounts.actAs permission on this service account.

Returns
Type	Description
string

setServiceAccount

The service account that the pipeline workload runs as.

If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the iam.serviceAccounts.actAs permission on this service account.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getNetwork

The full name of the Compute Engine network to which the Pipeline Job's workload should be peered. For example, projects/12345/global/networks/myVPC.

Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.

Returns
Type	Description
string

setNetwork

The full name of the Compute Engine network to which the Pipeline Job's workload should be peered. For example, projects/12345/global/networks/myVPC.

Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getReservedIpRanges

A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload.

If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setReservedIpRanges

A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload.

If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].

Parameter
Name	Description
var	string[]

Returns
Type	Description
$this

getTemplateUri

A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.

Returns
Type	Description
string

setTemplateUri

A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getTemplateMetadata

Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.

Returns
Type	Description
PipelineTemplateMetadata|null

hasTemplateMetadata

clearTemplateMetadata

setTemplateMetadata

Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.

Parameter
Name	Description
var	PipelineTemplateMetadata

Returns
Type	Description
$this

getScheduleName

Output only. The schedule resource name.

Only returned if the Pipeline is created by Schedule API.

Returns
Type	Description
string

setScheduleName

Output only. The schedule resource name.

Only returned if the Pipeline is created by Schedule API.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getPreflightValidations

Optional. Whether to do component level validations before job creation.

Returns
Type	Description
bool

setPreflightValidations

Optional. Whether to do component level validations before job creation.

Parameter
Name	Description
var	bool

Returns
Type	Description
$this