pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin.outputs/SparkJobResponse

SparkJobResponse

data class SparkJobResponse(val archives: List<String>? = null, val args: String? = null, val codeId: String, val componentId: String? = null, val computeId: String? = null, val conf: Map<String, String>? = null, val description: String? = null, val displayName: String? = null, val entry: Either<SparkJobPythonEntryResponse, SparkJobScalaEntryResponse>, val environmentId: String? = null, val environmentVariables: Map<String, String>? = null, val experimentName: String? = null, val files: List<String>? = null, val identity: Any? = null, val inputs: Map<String, Any>? = null, val isArchived: Boolean? = null, val jars: List<String>? = null, val jobType: String, val notificationSetting: NotificationSettingResponse? = null, val outputs: Map<String, Any>? = null, val properties: Map<String, String>? = null, val pyFiles: List<String>? = null, val queueSettings: QueueSettingsResponse? = null, val resources: SparkResourceConfigurationResponse? = null, val services: Map<String, JobServiceResponse>? = null, val status: String, val tags: Map<String, String>? = null)

Spark job definition.

Constructors

SparkJobResponse

constructor(archives: List<String>? = null, args: String? = null, codeId: String, componentId: String? = null, computeId: String? = null, conf: Map<String, String>? = null, description: String? = null, displayName: String? = null, entry: Either<SparkJobPythonEntryResponse, SparkJobScalaEntryResponse>, environmentId: String? = null, environmentVariables: Map<String, String>? = null, experimentName: String? = null, files: List<String>? = null, identity: Any? = null, inputs: Map<String, Any>? = null, isArchived: Boolean? = null, jars: List<String>? = null, jobType: String, notificationSetting: NotificationSettingResponse? = null, outputs: Map<String, Any>? = null, properties: Map<String, String>? = null, pyFiles: List<String>? = null, queueSettings: QueueSettingsResponse? = null, resources: SparkResourceConfigurationResponse? = null, services: Map<String, JobServiceResponse>? = null, status: String, tags: Map<String, String>? = null)

Types

object Companion

Properties

val archives: List<String>? = null

Archive files used in the job.

val args: String? = null

Arguments for the job.

val codeId: String

Required arm-id of the code asset.

val componentId: String? = null

ARM resource ID of the component resource.

val computeId: String? = null

ARM resource ID of the compute resource.

val conf: Map<String, String>? = null

Spark configured properties.

val description: String? = null

The asset description text.

val displayName: String? = null

Display name of job.

val entry: Either<SparkJobPythonEntryResponse, SparkJobScalaEntryResponse>

Required The entry to execute on startup of the job.

val environmentId: String? = null

The ARM resource ID of the Environment specification for the job.

environmentVariables

val environmentVariables: Map<String, String>? = null

Environment variables included in the job.

val experimentName: String? = null

The name of the experiment the job belongs to. If not set, the job is placed in the "Default" experiment.

val files: List<String>? = null

Files used in the job.

val identity: Any? = null

Identity configuration. If set, this should be one of AmlToken, ManagedIdentity, UserIdentity or null. Defaults to AmlToken if null.

val inputs: Map<String, Any>? = null

Mapping of input data bindings used in the job.

val isArchived: Boolean? = null

Is the asset archived?

val jars: List<String>? = null

Jar files used in the job.

val jobType: String

Enum to determine the type of job. Expected value is 'Spark'.

notificationSetting

val notificationSetting: NotificationSettingResponse? = null

Notification setting for the job

val outputs: Map<String, Any>? = null

Mapping of output data bindings used in the job.

val properties: Map<String, String>? = null

The asset property dictionary.

val pyFiles: List<String>? = null

Python files used in the job.

val queueSettings: QueueSettingsResponse? = null

Queue settings for the job

val resources: SparkResourceConfigurationResponse? = null

Compute Resource configuration for the job.

val services: Map<String, JobServiceResponse>? = null

List of JobEndpoints. For local jobs, a job endpoint will have an endpoint value of FileStreamObject.

val status: String

Status of the job.

val tags: Map<String, String>? = null

Tag dictionary. Tags can be added, removed, and updated.