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• Job.scala

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src.dataproc.v1.Job.scala Maven / Gradle / Ivy

package besom.api.googlenative.dataproc.v1

final case class Job private(
  urn: besom.types.Output[besom.types.URN],
  id: besom.types.Output[besom.types.ResourceId],
  done: besom.types.Output[Boolean],
  driverControlFilesUri: besom.types.Output[String],
  driverOutputResourceUri: besom.types.Output[String],
  driverSchedulingConfig: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.DriverSchedulingConfigResponse],
  flinkJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.FlinkJobResponse],
  hadoopJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.HadoopJobResponse],
  hiveJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.HiveJobResponse],
  jobUuid: besom.types.Output[String],
  labels: besom.types.Output[scala.Predef.Map[String, String]],
  pigJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.PigJobResponse],
  placement: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobPlacementResponse],
  prestoJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.PrestoJobResponse],
  project: besom.types.Output[String],
  pysparkJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.PySparkJobResponse],
  reference: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobReferenceResponse],
  region: besom.types.Output[String],
  scheduling: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobSchedulingResponse],
  sparkJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.SparkJobResponse],
  sparkRJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.SparkRJobResponse],
  sparkSqlJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.SparkSqlJobResponse],
  status: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobStatusResponse],
  statusHistory: besom.types.Output[scala.collection.immutable.List[besom.api.googlenative.dataproc.v1.outputs.JobStatusResponse]],
  trinoJob: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.TrinoJobResponse],
  yarnApplications: besom.types.Output[scala.collection.immutable.List[besom.api.googlenative.dataproc.v1.outputs.YarnApplicationResponse]]
) extends besom.CustomResource

object Job extends besom.ResourceCompanion[Job]:
  /** Resource constructor for Job. 
    * 
    * @param name [[besom.util.NonEmptyString]] The unique (stack-wise) name of the resource in Pulumi state (not on provider's side).
    *        NonEmptyString is inferred automatically from non-empty string literals, even when interpolated. If you encounter any
    *        issues with this, please try using `: NonEmptyString` type annotation. If you need to convert a dynamically generated
    *        string to NonEmptyString, use `NonEmptyString.apply` method - `NonEmptyString(str): Option[NonEmptyString]`.
    *
    * @param args [[JobArgs]] The configuration to use to create this resource. 
    *
    * @param opts [[besom.CustomResourceOptions]] Resource options to use for this resource. 
    *        Defaults to empty options. If you need to set some options, use [[besom.opts]] function to create them, for example:
    *  
    *        {{{
    *        val res = Job(
    *          "my-resource",
    *          JobArgs(...), // your args
    *          opts(provider = myProvider)
    *        )
    *        }}}
    */
  def apply(using ctx: besom.types.Context)(
    name: besom.util.NonEmptyString,
    args: JobArgs,
    opts: besom.ResourceOptsVariant.Custom ?=> besom.CustomResourceOptions = besom.CustomResourceOptions()
  ): besom.types.Output[Job] =
    ctx.readOrRegisterResource[Job, JobArgs]("google-native:dataproc/v1:Job", name, args, opts(using besom.ResourceOptsVariant.Custom))

  private[besom] def typeToken: besom.types.ResourceType = "google-native:dataproc/v1:Job"

  given resourceDecoder(using besom.types.Context): besom.types.ResourceDecoder[Job] =
    besom.internal.ResourceDecoder.derived[Job]

  given decoder(using besom.types.Context): besom.types.Decoder[Job] =
    besom.internal.Decoder.customResourceDecoder[Job]


  given outputOps: {} with
    extension(output: besom.types.Output[Job])
      def urn : besom.types.Output[besom.types.URN] = output.flatMap(_.urn)
      def id : besom.types.Output[besom.types.ResourceId] = output.flatMap(_.id)
      def done : besom.types.Output[Boolean] = output.flatMap(_.done)
      def driverControlFilesUri : besom.types.Output[String] = output.flatMap(_.driverControlFilesUri)
      def driverOutputResourceUri : besom.types.Output[String] = output.flatMap(_.driverOutputResourceUri)
      def driverSchedulingConfig : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.DriverSchedulingConfigResponse] = output.flatMap(_.driverSchedulingConfig)
      def flinkJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.FlinkJobResponse] = output.flatMap(_.flinkJob)
      def hadoopJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.HadoopJobResponse] = output.flatMap(_.hadoopJob)
      def hiveJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.HiveJobResponse] = output.flatMap(_.hiveJob)
      def jobUuid : besom.types.Output[String] = output.flatMap(_.jobUuid)
      def labels : besom.types.Output[scala.Predef.Map[String, String]] = output.flatMap(_.labels)
      def pigJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.PigJobResponse] = output.flatMap(_.pigJob)
      def placement : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobPlacementResponse] = output.flatMap(_.placement)
      def prestoJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.PrestoJobResponse] = output.flatMap(_.prestoJob)
      def project : besom.types.Output[String] = output.flatMap(_.project)
      def pysparkJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.PySparkJobResponse] = output.flatMap(_.pysparkJob)
      def reference : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobReferenceResponse] = output.flatMap(_.reference)
      def region : besom.types.Output[String] = output.flatMap(_.region)
      def scheduling : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobSchedulingResponse] = output.flatMap(_.scheduling)
      def sparkJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.SparkJobResponse] = output.flatMap(_.sparkJob)
      def sparkRJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.SparkRJobResponse] = output.flatMap(_.sparkRJob)
      def sparkSqlJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.SparkSqlJobResponse] = output.flatMap(_.sparkSqlJob)
      def status : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.JobStatusResponse] = output.flatMap(_.status)
      def statusHistory : besom.types.Output[scala.collection.immutable.List[besom.api.googlenative.dataproc.v1.outputs.JobStatusResponse]] = output.flatMap(_.statusHistory)
      def trinoJob : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.TrinoJobResponse] = output.flatMap(_.trinoJob)
      def yarnApplications : besom.types.Output[scala.collection.immutable.List[besom.api.googlenative.dataproc.v1.outputs.YarnApplicationResponse]] = output.flatMap(_.yarnApplications)