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Within LTS Haskell 24.52 (ghc-9.10.3)

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  1. enumOptions :: ParameterMetadata -> Maybe [ParameterMetadataEnumOption]

    gogol-dataflow Gogol.Dataflow.Types

    Optional. The options shown when ENUM ParameterType is specified.

  2. maxNumWorkers :: AutoscalingSettings -> Maybe Int32

    gogol-dataflow Gogol.Dataflow.Types

    The maximum number of workers to cap scaling at.

  3. maxNumWorkers :: RuntimeUpdatableParams -> Maybe Int32

    gogol-dataflow Gogol.Dataflow.Types

    The maximum number of workers to cap autoscaling at. This field is currently only supported for Streaming Engine jobs.

  4. minNumWorkers :: RuntimeUpdatableParams -> Maybe Int32

    gogol-dataflow Gogol.Dataflow.Types

    The minimum number of workers to scale down to. This field is currently only supported for Streaming Engine jobs.

  5. newParameterMetadataEnumOption :: ParameterMetadataEnumOption

    gogol-dataflow Gogol.Dataflow.Types

    Creates a value of ParameterMetadataEnumOption with the minimum fields required to make a request.

  6. outputNum :: InstructionInput -> Maybe Int32

    gogol-dataflow Gogol.Dataflow.Types

    The output index (origin zero) within the producer.

  7. projectNumber :: LeaseWorkItemRequest -> Maybe Int64

    gogol-dataflow Gogol.Dataflow.Types

    Optional. The project number of the project this worker belongs to.

  8. projectNumber :: ReportWorkItemStatusRequest -> Maybe Int64

    gogol-dataflow Gogol.Dataflow.Types

    Optional. The project number of the project which owns the WorkItem's job.

  9. targetNumWorkers :: AutoscalingEvent -> Maybe Int64

    gogol-dataflow Gogol.Dataflow.Types

    The target number of workers the worker pool wants to resize to use.

  10. minNumInstances :: InstanceGroupConfig -> Maybe Int32

    gogol-dataproc Gogol.Dataproc

    Optional. The minimum number of primary worker instances to create. If minnuminstances is set, cluster creation will succeed if the number of primary workers created is at least equal to the minnuminstances number.Example: Cluster creation request with numinstances = 5 and minnum_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.

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