Struct GoogleCloudAiplatformV1PipelineJobRuntimeConfig

pub struct GoogleCloudAiplatformV1PipelineJobRuntimeConfig {
    pub input_artifacts: Option<HashMap<String, GoogleCloudAiplatformV1PipelineJobRuntimeConfigInputArtifact>>,
    pub gcs_output_directory: Option<String>,
    pub parameter_values: Option<HashMap<String, Value>>,
    pub parameters: Option<HashMap<String, GoogleCloudAiplatformV1Value>>,
    pub failure_policy: Option<String>,
}

The runtime config of a PipelineJob.

This type is not used in any activity, and only used as part of another schema.

Fields

input_artifacts: Option<HashMap<String, GoogleCloudAiplatformV1PipelineJobRuntimeConfigInputArtifact>>

The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.

gcs_output_directory: Option<String>

Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the pipeline. It is used by the system to generate the paths of output artifacts. The artifact paths are generated with a sub-path pattern {job_id}/{task_id}/{output_key} under the specified output directory. The service account specified in this pipeline must have the storage.objects.get and storage.objects.create permissions for this bucket.

parameter_values: Option<HashMap<String, Value>>

The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using PipelineJob.pipeline_spec.schema_version 2.1.0, such as pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.

parameters: Option<HashMap<String, GoogleCloudAiplatformV1Value>>

Deprecated. Use RuntimeConfig.parameter_values instead. The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using PipelineJob.pipeline_spec.schema_version 2.0.0 or lower, such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.

failure_policy: Option<String>

Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1PipelineJobRuntimeConfig

fn clone(&self) -> GoogleCloudAiplatformV1PipelineJobRuntimeConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1PipelineJobRuntimeConfig

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1PipelineJobRuntimeConfig

fn default() -> GoogleCloudAiplatformV1PipelineJobRuntimeConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1PipelineJobRuntimeConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1PipelineJobRuntimeConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1PipelineJobRuntimeConfig