Interface PipelineJobOrBuilder (3.54.0) 

public interface PipelineJobOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsLabels(String key)

public abstract boolean containsLabels(String key)

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.

map<string, string> labels = 11;

Parameter
Name Description
key String
Returns
Type Description
boolean

getCreateTime()

public abstract Timestamp getCreateTime()

Output only. Pipeline creation time.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The createTime.

getCreateTimeOrBuilder()

public abstract TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Pipeline creation time.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getDisplayName()

public abstract String getDisplayName()

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

string display_name = 2;

Returns
Type Description
String

The displayName.

getDisplayNameBytes()

public abstract ByteString getDisplayNameBytes()

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

string display_name = 2;

Returns
Type Description
ByteString

The bytes for displayName.

getEncryptionSpec()

public abstract EncryptionSpec getEncryptionSpec()

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

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 16;

Returns
Type Description
EncryptionSpec

The encryptionSpec.

getEncryptionSpecOrBuilder()

public abstract EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()

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

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 16;

Returns
Type Description
EncryptionSpecOrBuilder

getEndTime()

public abstract Timestamp getEndTime()

Output only. Pipeline end time.

.google.protobuf.Timestamp end_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The endTime.

getEndTimeOrBuilder()

public abstract TimestampOrBuilder getEndTimeOrBuilder()

Output only. Pipeline end time.

.google.protobuf.Timestamp end_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getError()

public abstract Status getError()

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

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
com.google.rpc.Status

The error.

getErrorOrBuilder()

public abstract StatusOrBuilder getErrorOrBuilder()

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

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
com.google.rpc.StatusOrBuilder

getJobDetail()

public abstract PipelineJobDetail getJobDetail()

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

.google.cloud.aiplatform.v1beta1.PipelineJobDetail job_detail = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
PipelineJobDetail

The jobDetail.

getJobDetailOrBuilder()

public abstract PipelineJobDetailOrBuilder getJobDetailOrBuilder()

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

.google.cloud.aiplatform.v1beta1.PipelineJobDetail job_detail = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
PipelineJobDetailOrBuilder

getLabels() (deprecated)

public abstract Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public abstract int getLabelsCount()

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.

map<string, string> labels = 11;

Returns
Type Description
int

getLabelsMap()

public abstract Map<String,String> getLabelsMap()

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.

map<string, string> labels = 11;

Returns
Type Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public abstract String getLabelsOrDefault(String key, String defaultValue)

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.

map<string, string> labels = 11;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getLabelsOrThrow(String key)

public abstract String getLabelsOrThrow(String key)

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.

map<string, string> labels = 11;

Parameter
Name Description
key String
Returns
Type Description
String

getName()

public abstract String getName()

Output only. The resource name of the PipelineJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The name.

getNameBytes()

public abstract ByteString getNameBytes()

Output only. The resource name of the PipelineJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for name.

getNetwork()

public abstract String getNetwork()

The full name of the Compute Engine network to which the Pipeline Job's workload should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name.

Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.

string network = 18 [(.google.api.resource_reference) = { ... }

Returns
Type Description
String

The network.

getNetworkBytes()

public abstract ByteString getNetworkBytes()

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.

string network = 18 [(.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for network.

getOriginalPipelineJobId()

public abstract long getOriginalPipelineJobId()

Optional. The original pipeline job id if this pipeline job is a rerun of a previous pipeline job.

int64 original_pipeline_job_id = 29 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
long

The originalPipelineJobId.

getPipelineSpec()

public abstract Struct getPipelineSpec()

The spec of the pipeline.

.google.protobuf.Struct pipeline_spec = 7;

Returns
Type Description
Struct

The pipelineSpec.

getPipelineSpecOrBuilder()

public abstract StructOrBuilder getPipelineSpecOrBuilder()

The spec of the pipeline.

.google.protobuf.Struct pipeline_spec = 7;

Returns
Type Description
StructOrBuilder

getPipelineTaskRerunConfigs(int index)

public abstract PipelineTaskRerunConfig getPipelineTaskRerunConfigs(int index)

Optional. The rerun configs for each task in the pipeline job. By default, the rerun will:

  1. Use the same input artifacts as the original run.
  2. Use the same input parameters as the original run.
  3. Skip all the tasks that are already succeeded in the original run.
  4. Rerun all the tasks that are not succeeded in the original run. By providing this field, users can override the default behavior and specify the rerun config for each task.

repeated .google.cloud.aiplatform.v1beta1.PipelineTaskRerunConfig pipeline_task_rerun_configs = 30 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
PipelineTaskRerunConfig

getPipelineTaskRerunConfigsCount()

public abstract int getPipelineTaskRerunConfigsCount()

Optional. The rerun configs for each task in the pipeline job. By default, the rerun will:

  1. Use the same input artifacts as the original run.
  2. Use the same input parameters as the original run.
  3. Skip all the tasks that are already succeeded in the original run.
  4. Rerun all the tasks that are not succeeded in the original run. By providing this field, users can override the default behavior and specify the rerun config for each task.

repeated .google.cloud.aiplatform.v1beta1.PipelineTaskRerunConfig pipeline_task_rerun_configs = 30 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

getPipelineTaskRerunConfigsList()

public abstract List<PipelineTaskRerunConfig> getPipelineTaskRerunConfigsList()

Optional. The rerun configs for each task in the pipeline job. By default, the rerun will:

  1. Use the same input artifacts as the original run.
  2. Use the same input parameters as the original run.
  3. Skip all the tasks that are already succeeded in the original run.
  4. Rerun all the tasks that are not succeeded in the original run. By providing this field, users can override the default behavior and specify the rerun config for each task.

repeated .google.cloud.aiplatform.v1beta1.PipelineTaskRerunConfig pipeline_task_rerun_configs = 30 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<PipelineTaskRerunConfig>

getPipelineTaskRerunConfigsOrBuilder(int index)

public abstract PipelineTaskRerunConfigOrBuilder getPipelineTaskRerunConfigsOrBuilder(int index)

Optional. The rerun configs for each task in the pipeline job. By default, the rerun will:

  1. Use the same input artifacts as the original run.
  2. Use the same input parameters as the original run.
  3. Skip all the tasks that are already succeeded in the original run.
  4. Rerun all the tasks that are not succeeded in the original run. By providing this field, users can override the default behavior and specify the rerun config for each task.

repeated .google.cloud.aiplatform.v1beta1.PipelineTaskRerunConfig pipeline_task_rerun_configs = 30 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
PipelineTaskRerunConfigOrBuilder

getPipelineTaskRerunConfigsOrBuilderList()

public abstract List<? extends PipelineTaskRerunConfigOrBuilder> getPipelineTaskRerunConfigsOrBuilderList()

Optional. The rerun configs for each task in the pipeline job. By default, the rerun will:

  1. Use the same input artifacts as the original run.
  2. Use the same input parameters as the original run.
  3. Skip all the tasks that are already succeeded in the original run.
  4. Rerun all the tasks that are not succeeded in the original run. By providing this field, users can override the default behavior and specify the rerun config for each task.

repeated .google.cloud.aiplatform.v1beta1.PipelineTaskRerunConfig pipeline_task_rerun_configs = 30 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1beta1.PipelineTaskRerunConfigOrBuilder>

getPreflightValidations()

public abstract boolean getPreflightValidations()

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

bool preflight_validations = 26 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

The preflightValidations.

getPscInterfaceConfig()

public abstract PscInterfaceConfig getPscInterfaceConfig()

Optional. Configuration for PSC-I for PipelineJob.

.google.cloud.aiplatform.v1beta1.PscInterfaceConfig psc_interface_config = 31 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
PscInterfaceConfig

The pscInterfaceConfig.

getPscInterfaceConfigOrBuilder()

public abstract PscInterfaceConfigOrBuilder getPscInterfaceConfigOrBuilder()

Optional. Configuration for PSC-I for PipelineJob.

.google.cloud.aiplatform.v1beta1.PscInterfaceConfig psc_interface_config = 31 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
PscInterfaceConfigOrBuilder

getReservedIpRanges(int index)

public abstract String getReservedIpRanges(int index)

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'].

repeated string reserved_ip_ranges = 25;

Parameter
Name Description
index int

The index of the element to return.
Returns
Type Description
String

The reservedIpRanges at the given index.

getReservedIpRangesBytes(int index)

public abstract ByteString getReservedIpRangesBytes(int index)

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'].

repeated string reserved_ip_ranges = 25;

Parameter
Name Description
index int

The index of the value to return.
Returns
Type Description
ByteString

The bytes of the reservedIpRanges at the given index.

getReservedIpRangesCount()

public abstract int getReservedIpRangesCount()

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'].

repeated string reserved_ip_ranges = 25;

Returns
Type Description
int

The count of reservedIpRanges.

getReservedIpRangesList()

public abstract List<String> getReservedIpRangesList()

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'].

repeated string reserved_ip_ranges = 25;

Returns
Type Description
List<String>

A list containing the reservedIpRanges.

getRuntimeConfig()

public abstract PipelineJob.RuntimeConfig getRuntimeConfig()

Runtime config of the pipeline.

.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig runtime_config = 12;

Returns
Type Description
PipelineJob.RuntimeConfig

The runtimeConfig.

getRuntimeConfigOrBuilder()

public abstract PipelineJob.RuntimeConfigOrBuilder getRuntimeConfigOrBuilder()

Runtime config of the pipeline.

.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig runtime_config = 12;

Returns
Type Description
PipelineJob.RuntimeConfigOrBuilder

getSatisfiesPzi()

public abstract boolean getSatisfiesPzi()

Output only. Reserved for future use.

bool satisfies_pzi = 28 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

The satisfiesPzi.

getSatisfiesPzs()

public abstract boolean getSatisfiesPzs()

Output only. Reserved for future use.

bool satisfies_pzs = 27 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

The satisfiesPzs.

getScheduleName()

public abstract String getScheduleName()

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

string schedule_name = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The scheduleName.

getScheduleNameBytes()

public abstract ByteString getScheduleNameBytes()

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

string schedule_name = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for scheduleName.

getServiceAccount()

public abstract String getServiceAccount()

The service account that the pipeline workload runs as. If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account

Users starting the pipeline must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 17;

Returns
Type Description
String

The serviceAccount.

getServiceAccountBytes()

public abstract ByteString getServiceAccountBytes()

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.

string service_account = 17;

Returns
Type Description
ByteString

The bytes for serviceAccount.

getStartTime()

public abstract Timestamp getStartTime()

Output only. Pipeline start time.

.google.protobuf.Timestamp start_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The startTime.

getStartTimeOrBuilder()

public abstract TimestampOrBuilder getStartTimeOrBuilder()

Output only. Pipeline start time.

.google.protobuf.Timestamp start_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getState()

public abstract PipelineState getState()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.PipelineState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
PipelineState

The state.

getStateValue()

public abstract int getStateValue()

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.PipelineState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
int

The enum numeric value on the wire for state.

getTemplateMetadata()

public abstract PipelineTemplateMetadata getTemplateMetadata()

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

.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata template_metadata = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
PipelineTemplateMetadata

The templateMetadata.

getTemplateMetadataOrBuilder()

public abstract PipelineTemplateMetadataOrBuilder getTemplateMetadataOrBuilder()

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

.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata template_metadata = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
PipelineTemplateMetadataOrBuilder

getTemplateUri()

public abstract String getTemplateUri()

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

string template_uri = 19;

Returns
Type Description
String

The templateUri.

getTemplateUriBytes()

public abstract ByteString getTemplateUriBytes()

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.

string template_uri = 19;

Returns
Type Description
ByteString

The bytes for templateUri.

getUpdateTime()

public abstract Timestamp getUpdateTime()

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

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The updateTime.

getUpdateTimeOrBuilder()

public abstract TimestampOrBuilder getUpdateTimeOrBuilder()

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

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

hasCreateTime()

public abstract boolean hasCreateTime()

Output only. Pipeline creation time.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the createTime field is set.

hasEncryptionSpec()

public abstract boolean hasEncryptionSpec()

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

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 16;

Returns
Type Description
boolean

Whether the encryptionSpec field is set.

hasEndTime()

public abstract boolean hasEndTime()

Output only. Pipeline end time.

.google.protobuf.Timestamp end_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the endTime field is set.

hasError()

public abstract boolean hasError()

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

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the error field is set.

hasJobDetail()

public abstract boolean hasJobDetail()

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

.google.cloud.aiplatform.v1beta1.PipelineJobDetail job_detail = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the jobDetail field is set.

hasPipelineSpec()

public abstract boolean hasPipelineSpec()

The spec of the pipeline.

.google.protobuf.Struct pipeline_spec = 7;

Returns
Type Description
boolean

Whether the pipelineSpec field is set.

hasPscInterfaceConfig()

public abstract boolean hasPscInterfaceConfig()

Optional. Configuration for PSC-I for PipelineJob.

.google.cloud.aiplatform.v1beta1.PscInterfaceConfig psc_interface_config = 31 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the pscInterfaceConfig field is set.

hasRuntimeConfig()

public abstract boolean hasRuntimeConfig()

Runtime config of the pipeline.

.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig runtime_config = 12;

Returns
Type Description
boolean

Whether the runtimeConfig field is set.

hasStartTime()

public abstract boolean hasStartTime()

Output only. Pipeline start time.

.google.protobuf.Timestamp start_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the startTime field is set.

hasTemplateMetadata()

public abstract boolean hasTemplateMetadata()

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

.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata template_metadata = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the templateMetadata field is set.

hasUpdateTime()

public abstract boolean hasUpdateTime()

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

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the updateTime field is set.