Struct GoogleCloudAiplatformV1PipelineJob

pub struct GoogleCloudAiplatformV1PipelineJob {

    pub error: Option<GoogleRpcStatus>,
    pub create_time: Option<DateTime<Utc>>,
    pub schedule_name: Option<String>,
    pub update_time: Option<DateTime<Utc>>,
    pub display_name: Option<String>,
    pub pipeline_spec: Option<HashMap<String, Value>>,
    pub end_time: Option<DateTime<Utc>>,
    pub service_account: Option<String>,
    pub runtime_config: Option<GoogleCloudAiplatformV1PipelineJobRuntimeConfig>,
    pub reserved_ip_ranges: Option<Vec<String>>,
    pub template_uri: Option<String>,
    pub start_time: Option<DateTime<Utc>>,
    pub network: Option<String>,
    pub encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>,
    pub labels: Option<HashMap<String, String>>,
    pub preflight_validations: Option<bool>,
    pub state: Option<String>,
    pub job_detail: Option<GoogleCloudAiplatformV1PipelineJobDetail>,
    pub name: Option<String>,
    pub template_metadata: Option<GoogleCloudAiplatformV1PipelineTemplateMetadata>,
}

An instance of a machine learning PipelineJob.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• locations pipeline jobs get projects (response)
• locations pipeline jobs create projects (request|response)

Fields

error: Option<GoogleRpcStatus>

Output only. The error that occurred during pipeline execution. Only populated when the pipeline’s state is FAILED or CANCELLED.

create_time: Option<DateTime<Utc>>

Output only. Pipeline creation time.

schedule_name: Option<String>

Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API.

update_time: Option<DateTime<Utc>>

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

display_name: Option<String>

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

pipeline_spec: Option<HashMap<String, Value>>

The spec of the pipeline.

end_time: Option<DateTime<Utc>>

Output only. Pipeline end time.

service_account: Option<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.

runtime_config: Option<GoogleCloudAiplatformV1PipelineJobRuntimeConfig>

Runtime config of the pipeline.

reserved_ip_ranges: Option<Vec<String>>

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: Option<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.

start_time: Option<DateTime<Utc>>

Output only. Pipeline start time.

network: Option<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.

encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>

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

labels: Option<HashMap<String, String>>

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.

preflight_validations: Option<bool>

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

state: Option<String>

Output only. The detailed state of the job.

job_detail: Option<GoogleCloudAiplatformV1PipelineJobDetail>

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

name: Option<String>

Output only. The resource name of the PipelineJob.

template_metadata: Option<GoogleCloudAiplatformV1PipelineTemplateMetadata>

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

Trait Implementations

impl Clone for GoogleCloudAiplatformV1PipelineJob

fn clone(&self) -> GoogleCloudAiplatformV1PipelineJob

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1PipelineJob

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1PipelineJob

fn default() -> GoogleCloudAiplatformV1PipelineJob

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1PipelineJob

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1PipelineJob

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl RequestValue for GoogleCloudAiplatformV1PipelineJob

impl ResponseResult for GoogleCloudAiplatformV1PipelineJob