Google Cloud Dataproc V1 Client - Class TemplateParameter (3.2.2)

Reference documentation and code samples for the Google Cloud Dataproc V1 Client class TemplateParameter.

A configurable parameter that replaces one or more fields in the template.

Parameterizable fields:

• Labels
• File uris
• Job properties
• Job arguments
• Script variables
• Main class (in HadoopJob and SparkJob)
• Zone (in ClusterSelector)

Generated from protobuf message google.cloud.dataproc.v1.TemplateParameter

Constructor.

Required. Parameter name.

The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.

Generated from protobuf field string name = 1 [(.google.api.field_behavior) = REQUIRED];

Required. Parameter name.

The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.

Generated from protobuf field string name = 1 [(.google.api.field_behavior) = REQUIRED];

Required. Paths to all fields that the parameter replaces.

A field is allowed to appear in at most one parameter's list of field paths. A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone . Also, field paths can reference fields using the following syntax:

• Values in maps can be referenced by key:
  • labels['key']
  • placement.clusterSelector.clusterLabels['key']
  • placement.managedCluster.labels['key']
  • placement.clusterSelector.clusterLabels['key']
  • jobs['step-id'].labels['key']
• Jobs in the jobs list can be referenced by step-id:
  • jobs['step-id'].hadoopJob.mainJarFileUri
  • jobs['step-id'].hiveJob.queryFileUri
  • jobs['step-id'].pySparkJob.mainPythonFileUri
  • jobs['step-id'].hadoopJob.jarFileUris[0]
  • jobs['step-id'].hadoopJob.archiveUris[0]
  • jobs['step-id'].hadoopJob.fileUris[0]
  • jobs['step-id'].pySparkJob.pythonFileUris[0]
• Items in repeated fields can be referenced by a zero-based index:
  • jobs['step-id'].sparkJob.args[0]
• Other examples:
  • jobs['step-id'].hadoopJob.properties['key']
  • jobs['step-id'].hadoopJob.args[0]
  • jobs['step-id'].hiveJob.scriptVariables['key']
  • jobs['step-id'].hadoopJob.mainJarFileUri
  • placement.clusterSelector.zone It may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid:
• placement.clusterSelector.clusterLabels
• jobs['step-id'].sparkJob.args

Generated from protobuf field repeated string fields = 2 [(.google.api.field_behavior) = REQUIRED];

Required. Paths to all fields that the parameter replaces.

A field is allowed to appear in at most one parameter's list of field paths. A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone . Also, field paths can reference fields using the following syntax:

• Values in maps can be referenced by key:
  • labels['key']
  • placement.clusterSelector.clusterLabels['key']
  • placement.managedCluster.labels['key']
  • placement.clusterSelector.clusterLabels['key']
  • jobs['step-id'].labels['key']
• Jobs in the jobs list can be referenced by step-id:
  • jobs['step-id'].hadoopJob.mainJarFileUri
  • jobs['step-id'].hiveJob.queryFileUri
  • jobs['step-id'].pySparkJob.mainPythonFileUri
  • jobs['step-id'].hadoopJob.jarFileUris[0]
  • jobs['step-id'].hadoopJob.archiveUris[0]
  • jobs['step-id'].hadoopJob.fileUris[0]
  • jobs['step-id'].pySparkJob.pythonFileUris[0]
• Items in repeated fields can be referenced by a zero-based index:
  • jobs['step-id'].sparkJob.args[0]
• Other examples:
  • jobs['step-id'].hadoopJob.properties['key']
  • jobs['step-id'].hadoopJob.args[0]
  • jobs['step-id'].hiveJob.scriptVariables['key']
  • jobs['step-id'].hadoopJob.mainJarFileUri
  • placement.clusterSelector.zone It may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid:
• placement.clusterSelector.clusterLabels
• jobs['step-id'].sparkJob.args

Generated from protobuf field repeated string fields = 2 [(.google.api.field_behavior) = REQUIRED];

Optional. Brief description of the parameter.

Must not exceed 1024 characters.

Generated from protobuf field string description = 3 [(.google.api.field_behavior) = OPTIONAL];

Optional. Brief description of the parameter.

Must not exceed 1024 characters.

Generated from protobuf field string description = 3 [(.google.api.field_behavior) = OPTIONAL];

Optional. Validation rules to be applied to this parameter's value.

Generated from protobuf field .google.cloud.dataproc.v1.ParameterValidation validation = 4 [(.google.api.field_behavior) = OPTIONAL];

Optional. Validation rules to be applied to this parameter's value.

Generated from protobuf field .google.cloud.dataproc.v1.ParameterValidation validation = 4 [(.google.api.field_behavior) = OPTIONAL];