Cloud Dataproc V1 API - Class Google::Cloud::Dataproc::V1::BasicAutoscalingAlgorithm (v1.9.1)

Reference documentation and code samples for the Cloud Dataproc V1 API class Google::Cloud::Dataproc::V1::BasicAutoscalingAlgorithm.

Basic algorithm for autoscaling.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#cooldown_period

defcooldown_period()->::Google::Protobuf::Duration
Returns
  • (::Google::Protobuf::Duration) — Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.

    Bounds: [2m, 1d]. Default: 2m.

#cooldown_period=

defcooldown_period=(value)->::Google::Protobuf::Duration
Parameter
  • value (::Google::Protobuf::Duration) — Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.

    Bounds: [2m, 1d]. Default: 2m.

Returns
  • (::Google::Protobuf::Duration) — Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.

    Bounds: [2m, 1d]. Default: 2m.

#yarn_config

defyarn_config()->::Google::Cloud::Dataproc::V1::BasicYarnAutoscalingConfig
Returns

#yarn_config=

defyarn_config=(value)->::Google::Cloud::Dataproc::V1::BasicYarnAutoscalingConfig
Parameter
Returns

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Last updated 2025年10月30日 UTC.