Google Cloud Native v0.32.0, Nov 29 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

google-native.aiplatform/v1beta1.getPipelineJob

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

Using getPipelineJob

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

TypeScript
Python
Go
C#
Java
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function getPipelineJob(args: GetPipelineJobArgs, opts?: InvokeOptions): Promise<GetPipelineJobResult>
function getPipelineJobOutput(args: GetPipelineJobOutputArgs, opts?: InvokeOptions): Output<GetPipelineJobResult>

def get_pipeline_job(location: Optional[str] = None,
                     pipeline_job_id: Optional[str] = None,
                     project: Optional[str] = None,
                     opts: Optional[InvokeOptions] = None) -> GetPipelineJobResult
def get_pipeline_job_output(location: Optional[pulumi.Input[str]] = None,
                     pipeline_job_id: Optional[pulumi.Input[str]] = None,
                     project: Optional[pulumi.Input[str]] = None,
                     opts: Optional[InvokeOptions] = None) -> Output[GetPipelineJobResult]

func LookupPipelineJob(ctx *Context, args *LookupPipelineJobArgs, opts ...InvokeOption) (*LookupPipelineJobResult, error)
func LookupPipelineJobOutput(ctx *Context, args *LookupPipelineJobOutputArgs, opts ...InvokeOption) LookupPipelineJobResultOutput

> Note: This function is named LookupPipelineJob in the Go SDK.

public static class GetPipelineJob 
{
    public static Task<GetPipelineJobResult> InvokeAsync(GetPipelineJobArgs args, InvokeOptions? opts = null)
    public static Output<GetPipelineJobResult> Invoke(GetPipelineJobInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetPipelineJobResult> getPipelineJob(GetPipelineJobArgs args, InvokeOptions options)
public static Output<GetPipelineJobResult> getPipelineJob(GetPipelineJobArgs args, InvokeOptions options)

fn::invoke:
  function: google-native:aiplatform/v1beta1:getPipelineJob
  arguments:
    # arguments dictionary

The following arguments are supported:

Location string
PipelineJobId string
Project string

Location string
PipelineJobId string
Project string

location String
pipelineJobId String
project String

location string
pipelineJobId string
project string

location str
pipeline_job_id str
project str

location String
pipelineJobId String
project String

getPipelineJob Result

The following output properties are available:

CreateTime string: Pipeline creation time.
DisplayName string: The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
EncryptionSpec Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1EncryptionSpecResponse: Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
EndTime string: Pipeline end time.
Error Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleRpcStatusResponse: The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
JobDetail Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1PipelineJobDetailResponse: The details of pipeline run. Not available in the list view.
Labels Dictionary<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.
Name string: The resource name of the PipelineJob.
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.
PipelineSpec Dictionary<string, string>: The spec of the pipeline.
ReservedIpRanges List<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'].
RuntimeConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse: Runtime config of the pipeline.
ScheduleName string: The schedule resource name. Only returned if the Pipeline is created by Schedule API.
ServiceAccount 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.
StartTime string: Pipeline start time.
State string: The detailed state of the job.
TemplateMetadata Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse: Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
TemplateUri 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.
UpdateTime string: Timestamp when this PipelineJob was most recently updated.

CreateTime string: Pipeline creation time.
DisplayName string: The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
EncryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse: Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
EndTime string: Pipeline end time.
Error GoogleRpcStatusResponse: The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
JobDetail GoogleCloudAiplatformV1beta1PipelineJobDetailResponse: The details of pipeline run. Not available in the list view.
Labels map[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.
Name string: The resource name of the PipelineJob.
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.
PipelineSpec map[string]string: The spec of the pipeline.
ReservedIpRanges []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'].
RuntimeConfig GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse: Runtime config of the pipeline.
ScheduleName string: The schedule resource name. Only returned if the Pipeline is created by Schedule API.
ServiceAccount 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.
StartTime string: Pipeline start time.
State string: The detailed state of the job.
TemplateMetadata GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse: Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
TemplateUri 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.
UpdateTime string: Timestamp when this PipelineJob was most recently updated.

createTime String: Pipeline creation time.
displayName String: The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse: Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
endTime String: Pipeline end time.
error GoogleRpcStatusResponse: The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
jobDetail GoogleCloudAiplatformV1beta1PipelineJobDetailResponse: The details of pipeline run. Not available in the list view.
labels Map<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.
name String: The resource name of the PipelineJob.
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.
pipelineSpec Map<String,String>: The spec of the pipeline.
reservedIpRanges List<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'].
runtimeConfig GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse: Runtime config of the pipeline.
scheduleName String: The schedule resource name. Only returned if the Pipeline is created by Schedule API.
serviceAccount 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.
startTime String: Pipeline start time.
state String: The detailed state of the job.
templateMetadata GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse: Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
templateUri 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.
updateTime String: Timestamp when this PipelineJob was most recently updated.

createTime string: Pipeline creation time.
displayName string: The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse: Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
endTime string: Pipeline end time.
error GoogleRpcStatusResponse: The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
jobDetail GoogleCloudAiplatformV1beta1PipelineJobDetailResponse: The details of pipeline run. Not available in the list view.
labels {[key: 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.
name string: The resource name of the PipelineJob.
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.
pipelineSpec {[key: string]: string}: The spec of the pipeline.
reservedIpRanges 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'].
runtimeConfig GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse: Runtime config of the pipeline.
scheduleName string: The schedule resource name. Only returned if the Pipeline is created by Schedule API.
serviceAccount 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.
startTime string: Pipeline start time.
state string: The detailed state of the job.
templateMetadata GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse: Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
templateUri 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.
updateTime string: Timestamp when this PipelineJob was most recently updated.

create_time str: Pipeline creation time.
display_name str: The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
encryption_spec GoogleCloudAiplatformV1beta1EncryptionSpecResponse: Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
end_time str: Pipeline end time.
error GoogleRpcStatusResponse: The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
job_detail GoogleCloudAiplatformV1beta1PipelineJobDetailResponse: The details of pipeline run. Not available in the list view.
labels Mapping[str, str]: 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.
name str: The resource name of the PipelineJob.
network str: 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.
pipeline_spec Mapping[str, str]: The spec of the pipeline.
reserved_ip_ranges Sequence[str]: 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'].
runtime_config GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse: Runtime config of the pipeline.
schedule_name str: The schedule resource name. Only returned if the Pipeline is created by Schedule API.
service_account str: 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.
start_time str: Pipeline start time.
state str: The detailed state of the job.
template_metadata GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse: Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
template_uri str: 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.
update_time str: Timestamp when this PipelineJob was most recently updated.

createTime String: Pipeline creation time.
displayName String: The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
encryptionSpec Property Map: Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
endTime String: Pipeline end time.
error Property Map: The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
jobDetail Property Map: The details of pipeline run. Not available in the list view.
labels Map<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.
name String: The resource name of the PipelineJob.
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.
pipelineSpec Map<String>: The spec of the pipeline.
reservedIpRanges List<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'].
runtimeConfig Property Map: Runtime config of the pipeline.
scheduleName String: The schedule resource name. Only returned if the Pipeline is created by Schedule API.
serviceAccount 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.
startTime String: Pipeline start time.
state String: The detailed state of the job.
templateMetadata Property Map: Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
templateUri 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.
updateTime String: Timestamp when this PipelineJob was most recently updated.

Supporting Types

GoogleCloudAiplatformV1beta1ContextResponse

CreateTime string: Timestamp when this Context was created.
Description string: Description of the Context
DisplayName string: User provided display name of the Context. May be up to 128 Unicode characters.
Etag string: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Labels Dictionary<string, string>: The labels with user-defined metadata to organize your Contexts. 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. No more than 64 user labels can be associated with one Context (System labels are excluded).
Metadata Dictionary<string, string>: Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
Name string: Immutable. The resource name of the Context.
ParentContexts List<string>: A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
SchemaTitle string: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
SchemaVersion string: The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
UpdateTime string: Timestamp when this Context was last updated.

CreateTime string: Timestamp when this Context was created.
Description string: Description of the Context
DisplayName string: User provided display name of the Context. May be up to 128 Unicode characters.
Etag string: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Labels map[string]string: The labels with user-defined metadata to organize your Contexts. 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. No more than 64 user labels can be associated with one Context (System labels are excluded).
Metadata map[string]string: Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
Name string: Immutable. The resource name of the Context.
ParentContexts []string: A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
SchemaTitle string: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
SchemaVersion string: The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
UpdateTime string: Timestamp when this Context was last updated.

createTime String: Timestamp when this Context was created.
description String: Description of the Context
displayName String: User provided display name of the Context. May be up to 128 Unicode characters.
etag String: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels Map<String,String>: The labels with user-defined metadata to organize your Contexts. 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. No more than 64 user labels can be associated with one Context (System labels are excluded).
metadata Map<String,String>: Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name String: Immutable. The resource name of the Context.
parentContexts List<String>: A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
schemaTitle String: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schemaVersion String: The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
updateTime String: Timestamp when this Context was last updated.

createTime string: Timestamp when this Context was created.
description string: Description of the Context
displayName string: User provided display name of the Context. May be up to 128 Unicode characters.
etag string: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels {[key: string]: string}: The labels with user-defined metadata to organize your Contexts. 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. No more than 64 user labels can be associated with one Context (System labels are excluded).
metadata {[key: string]: string}: Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name string: Immutable. The resource name of the Context.
parentContexts string[]: A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
schemaTitle string: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schemaVersion string: The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
updateTime string: Timestamp when this Context was last updated.

create_time str: Timestamp when this Context was created.
description str: Description of the Context
display_name str: User provided display name of the Context. May be up to 128 Unicode characters.
etag str: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels Mapping[str, str]: The labels with user-defined metadata to organize your Contexts. 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. No more than 64 user labels can be associated with one Context (System labels are excluded).
metadata Mapping[str, str]: Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name str: Immutable. The resource name of the Context.
parent_contexts Sequence[str]: A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
schema_title str: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schema_version str: The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
update_time str: Timestamp when this Context was last updated.

createTime String: Timestamp when this Context was created.
description String: Description of the Context
displayName String: User provided display name of the Context. May be up to 128 Unicode characters.
etag String: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels Map<String>: The labels with user-defined metadata to organize your Contexts. 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. No more than 64 user labels can be associated with one Context (System labels are excluded).
metadata Map<String>: Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name String: Immutable. The resource name of the Context.
parentContexts List<String>: A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
schemaTitle String: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schemaVersion String: The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
updateTime String: Timestamp when this Context was last updated.

GoogleCloudAiplatformV1beta1EncryptionSpecResponse

KmsKeyName string: The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

KmsKeyName string: The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

kmsKeyName String: The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

kmsKeyName string: The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

kms_key_name str: The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

kmsKeyName String: The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

GoogleCloudAiplatformV1beta1ExecutionResponse

CreateTime string: Timestamp when this Execution was created.
Description string: Description of the Execution
DisplayName string: User provided display name of the Execution. May be up to 128 Unicode characters.
Etag string: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Labels Dictionary<string, string>: The labels with user-defined metadata to organize your Executions. 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. No more than 64 user labels can be associated with one Execution (System labels are excluded).
Metadata Dictionary<string, string>: Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
Name string: The resource name of the Execution.
SchemaTitle string: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
SchemaVersion string: The version of the schema in schema_title to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
State string: The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
UpdateTime string: Timestamp when this Execution was last updated.

CreateTime string: Timestamp when this Execution was created.
Description string: Description of the Execution
DisplayName string: User provided display name of the Execution. May be up to 128 Unicode characters.
Etag string: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Labels map[string]string: The labels with user-defined metadata to organize your Executions. 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. No more than 64 user labels can be associated with one Execution (System labels are excluded).
Metadata map[string]string: Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
Name string: The resource name of the Execution.
SchemaTitle string: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
SchemaVersion string: The version of the schema in schema_title to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
State string: The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
UpdateTime string: Timestamp when this Execution was last updated.

createTime String: Timestamp when this Execution was created.
description String: Description of the Execution
displayName String: User provided display name of the Execution. May be up to 128 Unicode characters.
etag String: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels Map<String,String>: The labels with user-defined metadata to organize your Executions. 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. No more than 64 user labels can be associated with one Execution (System labels are excluded).
metadata Map<String,String>: Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name String: The resource name of the Execution.
schemaTitle String: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schemaVersion String: The version of the schema in schema_title to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
state String: The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
updateTime String: Timestamp when this Execution was last updated.

createTime string: Timestamp when this Execution was created.
description string: Description of the Execution
displayName string: User provided display name of the Execution. May be up to 128 Unicode characters.
etag string: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels {[key: string]: string}: The labels with user-defined metadata to organize your Executions. 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. No more than 64 user labels can be associated with one Execution (System labels are excluded).
metadata {[key: string]: string}: Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name string: The resource name of the Execution.
schemaTitle string: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schemaVersion string: The version of the schema in schema_title to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
state string: The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
updateTime string: Timestamp when this Execution was last updated.

create_time str: Timestamp when this Execution was created.
description str: Description of the Execution
display_name str: User provided display name of the Execution. May be up to 128 Unicode characters.
etag str: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels Mapping[str, str]: The labels with user-defined metadata to organize your Executions. 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. No more than 64 user labels can be associated with one Execution (System labels are excluded).
metadata Mapping[str, str]: Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name str: The resource name of the Execution.
schema_title str: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schema_version str: The version of the schema in schema_title to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
state str: The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
update_time str: Timestamp when this Execution was last updated.

createTime String: Timestamp when this Execution was created.
description String: Description of the Execution
displayName String: User provided display name of the Execution. May be up to 128 Unicode characters.
etag String: An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels Map<String>: The labels with user-defined metadata to organize your Executions. 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. No more than 64 user labels can be associated with one Execution (System labels are excluded).
metadata Map<String>: Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
name String: The resource name of the Execution.
schemaTitle String: The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
schemaVersion String: The version of the schema in schema_title to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
state String: The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
updateTime String: Timestamp when this Execution was last updated.

GoogleCloudAiplatformV1beta1PipelineJobDetailResponse

PipelineContext Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1ContextResponse: The context of the pipeline.
PipelineRunContext Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1ContextResponse: The context of the current pipeline run.
TaskDetails List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse>: The runtime details of the tasks under the pipeline.

PipelineContext GoogleCloudAiplatformV1beta1ContextResponse: The context of the pipeline.
PipelineRunContext GoogleCloudAiplatformV1beta1ContextResponse: The context of the current pipeline run.
TaskDetails []GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse: The runtime details of the tasks under the pipeline.

pipelineContext GoogleCloudAiplatformV1beta1ContextResponse: The context of the pipeline.
pipelineRunContext GoogleCloudAiplatformV1beta1ContextResponse: The context of the current pipeline run.
taskDetails List<GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse>: The runtime details of the tasks under the pipeline.

pipelineContext GoogleCloudAiplatformV1beta1ContextResponse: The context of the pipeline.
pipelineRunContext GoogleCloudAiplatformV1beta1ContextResponse: The context of the current pipeline run.
taskDetails GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse[]: The runtime details of the tasks under the pipeline.

pipeline_context GoogleCloudAiplatformV1beta1ContextResponse: The context of the pipeline.
pipeline_run_context GoogleCloudAiplatformV1beta1ContextResponse: The context of the current pipeline run.
task_details Sequence[GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse]: The runtime details of the tasks under the pipeline.

pipelineContext Property Map: The context of the pipeline.
pipelineRunContext Property Map: The context of the current pipeline run.
taskDetails List<Property Map>: The runtime details of the tasks under the pipeline.

GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse

FailurePolicy 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.
GcsOutputDirectory string: 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.
InputArtifacts Dictionary<string, string>: The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
ParameterValues Dictionary<string, string>: 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 Dictionary<string, string>: 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.
Deprecated: 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.

FailurePolicy 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.
GcsOutputDirectory string: 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.
InputArtifacts map[string]string: The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
ParameterValues map[string]string: 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 map[string]string: 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.
Deprecated: 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.

failurePolicy 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.
gcsOutputDirectory String: 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.
inputArtifacts Map<String,String>: The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
parameterValues Map<String,String>: 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 Map<String,String>: 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.
Deprecated: 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.

failurePolicy 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.
gcsOutputDirectory string: 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.
inputArtifacts {[key: string]: string}: The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
parameterValues {[key: string]: string}: 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 {[key: string]: string}: 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.
Deprecated: 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 str: 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.
gcs_output_directory str: 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.
input_artifacts Mapping[str, str]: The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
parameter_values Mapping[str, str]: 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 Mapping[str, str]: 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.
Deprecated: 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.

failurePolicy 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.
gcsOutputDirectory String: 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.
inputArtifacts Map<String>: The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
parameterValues Map<String>: 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 Map<String>: 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.
Deprecated: 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.

GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse

Error Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleRpcStatusResponse: The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
State string: The state of the task.
UpdateTime string: Update time of this status.

Error GoogleRpcStatusResponse: The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
State string: The state of the task.
UpdateTime string: Update time of this status.

error GoogleRpcStatusResponse: The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
state String: The state of the task.
updateTime String: Update time of this status.

error GoogleRpcStatusResponse: The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
state string: The state of the task.
updateTime string: Update time of this status.

error GoogleRpcStatusResponse: The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
state str: The state of the task.
update_time str: Update time of this status.

error Property Map: The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
state String: The state of the task.
updateTime String: Update time of this status.

GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse

CreateTime string: Task create time.
EndTime string: Task end time.
Error Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleRpcStatusResponse: The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
Execution Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1ExecutionResponse: The execution metadata of the task.
ExecutorDetail Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse: The detailed execution info.
Inputs Dictionary<string, string>: The runtime input artifacts of the task.
Outputs Dictionary<string, string>: The runtime output artifacts of the task.
ParentTaskId string: The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
PipelineTaskStatus List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse>: A list of task status. This field keeps a record of task status evolving over time.
StartTime string: Task start time.
State string: State of the task.
TaskId string: The system generated ID of the task.
TaskName string: The user specified name of the task that is defined in pipeline_spec.

CreateTime string: Task create time.
EndTime string: Task end time.
Error GoogleRpcStatusResponse: The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
Execution GoogleCloudAiplatformV1beta1ExecutionResponse: The execution metadata of the task.
ExecutorDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse: The detailed execution info.
Inputs map[string]string: The runtime input artifacts of the task.
Outputs map[string]string: The runtime output artifacts of the task.
ParentTaskId string: The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
PipelineTaskStatus []GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse: A list of task status. This field keeps a record of task status evolving over time.
StartTime string: Task start time.
State string: State of the task.
TaskId string: The system generated ID of the task.
TaskName string: The user specified name of the task that is defined in pipeline_spec.

createTime String: Task create time.
endTime String: Task end time.
error GoogleRpcStatusResponse: The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
execution GoogleCloudAiplatformV1beta1ExecutionResponse: The execution metadata of the task.
executorDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse: The detailed execution info.
inputs Map<String,String>: The runtime input artifacts of the task.
outputs Map<String,String>: The runtime output artifacts of the task.
parentTaskId String: The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
pipelineTaskStatus List<GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse>: A list of task status. This field keeps a record of task status evolving over time.
startTime String: Task start time.
state String: State of the task.
taskId String: The system generated ID of the task.
taskName String: The user specified name of the task that is defined in pipeline_spec.

createTime string: Task create time.
endTime string: Task end time.
error GoogleRpcStatusResponse: The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
execution GoogleCloudAiplatformV1beta1ExecutionResponse: The execution metadata of the task.
executorDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse: The detailed execution info.
inputs {[key: string]: string}: The runtime input artifacts of the task.
outputs {[key: string]: string}: The runtime output artifacts of the task.
parentTaskId string: The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
pipelineTaskStatus GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse[]: A list of task status. This field keeps a record of task status evolving over time.
startTime string: Task start time.
state string: State of the task.
taskId string: The system generated ID of the task.
taskName string: The user specified name of the task that is defined in pipeline_spec.

create_time str: Task create time.
end_time str: Task end time.
error GoogleRpcStatusResponse: The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
execution GoogleCloudAiplatformV1beta1ExecutionResponse: The execution metadata of the task.
executor_detail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse: The detailed execution info.
inputs Mapping[str, str]: The runtime input artifacts of the task.
outputs Mapping[str, str]: The runtime output artifacts of the task.
parent_task_id str: The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
pipeline_task_status Sequence[GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse]: A list of task status. This field keeps a record of task status evolving over time.
start_time str: Task start time.
state str: State of the task.
task_id str: The system generated ID of the task.
task_name str: The user specified name of the task that is defined in pipeline_spec.

createTime String: Task create time.
endTime String: Task end time.
error Property Map: The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
execution Property Map: The execution metadata of the task.
executorDetail Property Map: The detailed execution info.
inputs Map<String>: The runtime input artifacts of the task.
outputs Map<String>: The runtime output artifacts of the task.
parentTaskId String: The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
pipelineTaskStatus List<Property Map>: A list of task status. This field keeps a record of task status evolving over time.
startTime String: Task start time.
state String: State of the task.
taskId String: The system generated ID of the task.
taskName String: The user specified name of the task that is defined in pipeline_spec.

GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse

FailedMainJobs List<string>: The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
FailedPreCachingCheckJobs List<string>: The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events. The list includes the all attempts in chronological order.
MainJob string: The name of the CustomJob for the main container execution.
PreCachingCheckJob string: The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events.

FailedMainJobs []string: The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
FailedPreCachingCheckJobs []string: The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events. The list includes the all attempts in chronological order.
MainJob string: The name of the CustomJob for the main container execution.
PreCachingCheckJob string: The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events.

failedMainJobs List<String>: The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
failedPreCachingCheckJobs List<String>: The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events. The list includes the all attempts in chronological order.
mainJob String: The name of the CustomJob for the main container execution.
preCachingCheckJob String: The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events.

failedMainJobs string[]: The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
failedPreCachingCheckJobs string[]: The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events. The list includes the all attempts in chronological order.
mainJob string: The name of the CustomJob for the main container execution.
preCachingCheckJob string: The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events.

failed_main_jobs Sequence[str]: The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
failed_pre_caching_check_jobs Sequence[str]: The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events. The list includes the all attempts in chronological order.
main_job str: The name of the CustomJob for the main container execution.
pre_caching_check_job str: The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events.

failedMainJobs List<String>: The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
failedPreCachingCheckJobs List<String>: The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events. The list includes the all attempts in chronological order.
mainJob String: The name of the CustomJob for the main container execution.
preCachingCheckJob String: The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the pre_caching_check hook in the lifecycle events.

GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse

FailedJobs List<string>: The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
Job string: The name of the CustomJob.

FailedJobs []string: The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
Job string: The name of the CustomJob.

failedJobs List<String>: The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
job String: The name of the CustomJob.

failedJobs string[]: The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
job string: The name of the CustomJob.

failed_jobs Sequence[str]: The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
job str: The name of the CustomJob.

failedJobs List<String>: The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
job String: The name of the CustomJob.

GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse

ContainerDetail Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse: The detailed info for a container executor.
CustomJobDetail Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse: The detailed info for a custom job executor.

ContainerDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse: The detailed info for a container executor.
CustomJobDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse: The detailed info for a custom job executor.

containerDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse: The detailed info for a container executor.
customJobDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse: The detailed info for a custom job executor.

containerDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse: The detailed info for a container executor.
customJobDetail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse: The detailed info for a custom job executor.

container_detail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse: The detailed info for a container executor.
custom_job_detail GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse: The detailed info for a custom job executor.

containerDetail Property Map: The detailed info for a container executor.
customJobDetail Property Map: The detailed info for a custom job executor.

GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse

Version string: The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".

Version string: The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".

version String: The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".

version string: The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".

version str: The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".

version String: The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".

GoogleRpcStatusResponse

Code int: The status code, which should be an enum value of google.rpc.Code.
Details List<ImmutableDictionary<string, string>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

Code int: The status code, which should be an enum value of google.rpc.Code.
Details []map[string]string: A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code Integer: The status code, which should be an enum value of google.rpc.Code.
details List<Map<String,String>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message String: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code number: The status code, which should be an enum value of google.rpc.Code.
details {[key: string]: string}[]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code int: The status code, which should be an enum value of google.rpc.Code.
details Sequence[Mapping[str, str]]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message str: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code Number: The status code, which should be an enum value of google.rpc.Code.
details List<Map<String>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message String: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.aiplatform/v1beta1.getPipelineJob

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Using getPipelineJob

getPipelineJob Result

Supporting Types

GoogleCloudAiplatformV1beta1ContextResponse

GoogleCloudAiplatformV1beta1EncryptionSpecResponse

GoogleCloudAiplatformV1beta1ExecutionResponse

GoogleCloudAiplatformV1beta1PipelineJobDetailResponse

GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigResponse

GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatusResponse

GoogleCloudAiplatformV1beta1PipelineTaskDetailResponse

GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetailResponse

GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetailResponse

GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailResponse

GoogleCloudAiplatformV1beta1PipelineTemplateMetadataResponse

GoogleRpcStatusResponse

Package Details

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