BasicYarnAutoscalingConfig.java

/*
 * Copyright 2020 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/dataproc/v1/autoscaling_policies.proto

package com.google.cloud.dataproc.v1;

/**
 *
 *
 * <pre>
 * Basic autoscaling configurations for YARN.
 * </pre>
 *
 * Protobuf type {@code google.cloud.dataproc.v1.BasicYarnAutoscalingConfig}
 */
public final class BasicYarnAutoscalingConfig extends com.google.protobuf.GeneratedMessageV3
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    // @@protoc_insertion_point(message_implements:google.cloud.dataproc.v1.BasicYarnAutoscalingConfig)
    BasicYarnAutoscalingConfigOrBuilder {
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  // Use BasicYarnAutoscalingConfig.newBuilder() to construct.
  private BasicYarnAutoscalingConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
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  private BasicYarnAutoscalingConfig() {}

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  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    return com.google.cloud.dataproc.v1.AutoscalingPoliciesProto
        .internal_static_google_cloud_dataproc_v1_BasicYarnAutoscalingConfig_descriptor;
  }

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  private com.google.protobuf.Duration gracefulDecommissionTimeout_;
  /**
   *
   *
   * <pre>
   * Required. Timeout for YARN graceful decommissioning of Node Managers.
   * Specifies the duration to wait for jobs to complete before forcefully
   * removing workers (and potentially interrupting jobs). Only applicable to
   * downscaling operations.
   * Bounds: [0s, 1d].
   * </pre>
   *
   * <code>
   * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   *
   * @return Whether the gracefulDecommissionTimeout field is set.
   */
  @java.lang.Override
  public boolean hasGracefulDecommissionTimeout() {
    return gracefulDecommissionTimeout_ != null;
  }
  /**
   *
   *
   * <pre>
   * Required. Timeout for YARN graceful decommissioning of Node Managers.
   * Specifies the duration to wait for jobs to complete before forcefully
   * removing workers (and potentially interrupting jobs). Only applicable to
   * downscaling operations.
   * Bounds: [0s, 1d].
   * </pre>
   *
   * <code>
   * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   *
   * @return The gracefulDecommissionTimeout.
   */
  @java.lang.Override
  public com.google.protobuf.Duration getGracefulDecommissionTimeout() {
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  }
  /**
   *
   *
   * <pre>
   * Required. Timeout for YARN graceful decommissioning of Node Managers.
   * Specifies the duration to wait for jobs to complete before forcefully
   * removing workers (and potentially interrupting jobs). Only applicable to
   * downscaling operations.
   * Bounds: [0s, 1d].
   * </pre>
   *
   * <code>
   * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   */
  @java.lang.Override
  public com.google.protobuf.DurationOrBuilder getGracefulDecommissionTimeoutOrBuilder() {
    return getGracefulDecommissionTimeout();
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  public static final int SCALE_UP_FACTOR_FIELD_NUMBER = 1;
  private double scaleUpFactor_;
  /**
   *
   *
   * <pre>
   * Required. Fraction of average YARN pending memory in the last cooldown period
   * for which to add workers. A scale-up factor of 1.0 will result in scaling
   * up so that there is no pending memory remaining after the update (more
   * aggressive scaling). A scale-up factor closer to 0 will result in a smaller
   * magnitude of scaling up (less aggressive scaling).
   * See [How autoscaling
   * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
   * for more information.
   * Bounds: [0.0, 1.0].
   * </pre>
   *
   * <code>double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];</code>
   *
   * @return The scaleUpFactor.
   */
  @java.lang.Override
  public double getScaleUpFactor() {
    return scaleUpFactor_;
  }

  public static final int SCALE_DOWN_FACTOR_FIELD_NUMBER = 2;
  private double scaleDownFactor_;
  /**
   *
   *
   * <pre>
   * Required. Fraction of average YARN pending memory in the last cooldown period
   * for which to remove workers. A scale-down factor of 1 will result in
   * scaling down so that there is no available memory remaining after the
   * update (more aggressive scaling). A scale-down factor of 0 disables
   * removing workers, which can be beneficial for autoscaling a single job.
   * See [How autoscaling
   * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
   * for more information.
   * Bounds: [0.0, 1.0].
   * </pre>
   *
   * <code>double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];</code>
   *
   * @return The scaleDownFactor.
   */
  @java.lang.Override
  public double getScaleDownFactor() {
    return scaleDownFactor_;
  }

  public static final int SCALE_UP_MIN_WORKER_FRACTION_FIELD_NUMBER = 3;
  private double scaleUpMinWorkerFraction_;
  /**
   *
   *
   * <pre>
   * Optional. Minimum scale-up threshold as a fraction of total cluster size
   * before scaling occurs. For example, in a 20-worker cluster, a threshold of
   * 0.1 means the autoscaler must recommend at least a 2-worker scale-up for
   * the cluster to scale. A threshold of 0 means the autoscaler will scale up
   * on any recommended change.
   * Bounds: [0.0, 1.0]. Default: 0.0.
   * </pre>
   *
   * <code>double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @return The scaleUpMinWorkerFraction.
   */
  @java.lang.Override
  public double getScaleUpMinWorkerFraction() {
    return scaleUpMinWorkerFraction_;
  }

  public static final int SCALE_DOWN_MIN_WORKER_FRACTION_FIELD_NUMBER = 4;
  private double scaleDownMinWorkerFraction_;
  /**
   *
   *
   * <pre>
   * Optional. Minimum scale-down threshold as a fraction of total cluster size
   * before scaling occurs. For example, in a 20-worker cluster, a threshold of
   * 0.1 means the autoscaler must recommend at least a 2 worker scale-down for
   * the cluster to scale. A threshold of 0 means the autoscaler will scale down
   * on any recommended change.
   * Bounds: [0.0, 1.0]. Default: 0.0.
   * </pre>
   *
   * <code>double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
   * </code>
   *
   * @return The scaleDownMinWorkerFraction.
   */
  @java.lang.Override
  public double getScaleDownMinWorkerFraction() {
    return scaleDownMinWorkerFraction_;
  }

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    if (java.lang.Double.doubleToLongBits(getScaleUpMinWorkerFraction())
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  public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
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  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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  /**
   *
   *
   * <pre>
   * Basic autoscaling configurations for YARN.
   * </pre>
   *
   * Protobuf type {@code google.cloud.dataproc.v1.BasicYarnAutoscalingConfig}
   */
  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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      com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfigOrBuilder {
    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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      try {
        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
        parsedMessage =
            (com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig) e.getUnfinishedMessage();
        throw e.unwrapIOException();
      } finally {
        if (parsedMessage != null) {
          mergeFrom(parsedMessage);
        }
      }
      return this;
    }

    private com.google.protobuf.Duration gracefulDecommissionTimeout_;
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.protobuf.Duration,
            com.google.protobuf.Duration.Builder,
            com.google.protobuf.DurationOrBuilder>
        gracefulDecommissionTimeoutBuilder_;
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     *
     * @return Whether the gracefulDecommissionTimeout field is set.
     */
    public boolean hasGracefulDecommissionTimeout() {
      return gracefulDecommissionTimeoutBuilder_ != null || gracefulDecommissionTimeout_ != null;
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     *
     * @return The gracefulDecommissionTimeout.
     */
    public com.google.protobuf.Duration getGracefulDecommissionTimeout() {
      if (gracefulDecommissionTimeoutBuilder_ == null) {
        return gracefulDecommissionTimeout_ == null
            ? com.google.protobuf.Duration.getDefaultInstance()
            : gracefulDecommissionTimeout_;
      } else {
        return gracefulDecommissionTimeoutBuilder_.getMessage();
      }
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder setGracefulDecommissionTimeout(com.google.protobuf.Duration value) {
      if (gracefulDecommissionTimeoutBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        gracefulDecommissionTimeout_ = value;
        onChanged();
      } else {
        gracefulDecommissionTimeoutBuilder_.setMessage(value);
      }

      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder setGracefulDecommissionTimeout(
        com.google.protobuf.Duration.Builder builderForValue) {
      if (gracefulDecommissionTimeoutBuilder_ == null) {
        gracefulDecommissionTimeout_ = builderForValue.build();
        onChanged();
      } else {
        gracefulDecommissionTimeoutBuilder_.setMessage(builderForValue.build());
      }

      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder mergeGracefulDecommissionTimeout(com.google.protobuf.Duration value) {
      if (gracefulDecommissionTimeoutBuilder_ == null) {
        if (gracefulDecommissionTimeout_ != null) {
          gracefulDecommissionTimeout_ =
              com.google.protobuf.Duration.newBuilder(gracefulDecommissionTimeout_)
                  .mergeFrom(value)
                  .buildPartial();
        } else {
          gracefulDecommissionTimeout_ = value;
        }
        onChanged();
      } else {
        gracefulDecommissionTimeoutBuilder_.mergeFrom(value);
      }

      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder clearGracefulDecommissionTimeout() {
      if (gracefulDecommissionTimeoutBuilder_ == null) {
        gracefulDecommissionTimeout_ = null;
        onChanged();
      } else {
        gracefulDecommissionTimeout_ = null;
        gracefulDecommissionTimeoutBuilder_ = null;
      }

      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.protobuf.Duration.Builder getGracefulDecommissionTimeoutBuilder() {

      onChanged();
      return getGracefulDecommissionTimeoutFieldBuilder().getBuilder();
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.protobuf.DurationOrBuilder getGracefulDecommissionTimeoutOrBuilder() {
      if (gracefulDecommissionTimeoutBuilder_ != null) {
        return gracefulDecommissionTimeoutBuilder_.getMessageOrBuilder();
      } else {
        return gracefulDecommissionTimeout_ == null
            ? com.google.protobuf.Duration.getDefaultInstance()
            : gracefulDecommissionTimeout_;
      }
    }
    /**
     *
     *
     * <pre>
     * Required. Timeout for YARN graceful decommissioning of Node Managers.
     * Specifies the duration to wait for jobs to complete before forcefully
     * removing workers (and potentially interrupting jobs). Only applicable to
     * downscaling operations.
     * Bounds: [0s, 1d].
     * </pre>
     *
     * <code>
     * .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.protobuf.Duration,
            com.google.protobuf.Duration.Builder,
            com.google.protobuf.DurationOrBuilder>
        getGracefulDecommissionTimeoutFieldBuilder() {
      if (gracefulDecommissionTimeoutBuilder_ == null) {
        gracefulDecommissionTimeoutBuilder_ =
            new com.google.protobuf.SingleFieldBuilderV3<
                com.google.protobuf.Duration,
                com.google.protobuf.Duration.Builder,
                com.google.protobuf.DurationOrBuilder>(
                getGracefulDecommissionTimeout(), getParentForChildren(), isClean());
        gracefulDecommissionTimeout_ = null;
      }
      return gracefulDecommissionTimeoutBuilder_;
    }

    private double scaleUpFactor_;
    /**
     *
     *
     * <pre>
     * Required. Fraction of average YARN pending memory in the last cooldown period
     * for which to add workers. A scale-up factor of 1.0 will result in scaling
     * up so that there is no pending memory remaining after the update (more
     * aggressive scaling). A scale-up factor closer to 0 will result in a smaller
     * magnitude of scaling up (less aggressive scaling).
     * See [How autoscaling
     * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
     * for more information.
     * Bounds: [0.0, 1.0].
     * </pre>
     *
     * <code>double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];</code>
     *
     * @return The scaleUpFactor.
     */
    @java.lang.Override
    public double getScaleUpFactor() {
      return scaleUpFactor_;
    }
    /**
     *
     *
     * <pre>
     * Required. Fraction of average YARN pending memory in the last cooldown period
     * for which to add workers. A scale-up factor of 1.0 will result in scaling
     * up so that there is no pending memory remaining after the update (more
     * aggressive scaling). A scale-up factor closer to 0 will result in a smaller
     * magnitude of scaling up (less aggressive scaling).
     * See [How autoscaling
     * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
     * for more information.
     * Bounds: [0.0, 1.0].
     * </pre>
     *
     * <code>double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];</code>
     *
     * @param value The scaleUpFactor to set.
     * @return This builder for chaining.
     */
    public Builder setScaleUpFactor(double value) {

      scaleUpFactor_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. Fraction of average YARN pending memory in the last cooldown period
     * for which to add workers. A scale-up factor of 1.0 will result in scaling
     * up so that there is no pending memory remaining after the update (more
     * aggressive scaling). A scale-up factor closer to 0 will result in a smaller
     * magnitude of scaling up (less aggressive scaling).
     * See [How autoscaling
     * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
     * for more information.
     * Bounds: [0.0, 1.0].
     * </pre>
     *
     * <code>double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearScaleUpFactor() {

      scaleUpFactor_ = 0D;
      onChanged();
      return this;
    }

    private double scaleDownFactor_;
    /**
     *
     *
     * <pre>
     * Required. Fraction of average YARN pending memory in the last cooldown period
     * for which to remove workers. A scale-down factor of 1 will result in
     * scaling down so that there is no available memory remaining after the
     * update (more aggressive scaling). A scale-down factor of 0 disables
     * removing workers, which can be beneficial for autoscaling a single job.
     * See [How autoscaling
     * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
     * for more information.
     * Bounds: [0.0, 1.0].
     * </pre>
     *
     * <code>double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];</code>
     *
     * @return The scaleDownFactor.
     */
    @java.lang.Override
    public double getScaleDownFactor() {
      return scaleDownFactor_;
    }
    /**
     *
     *
     * <pre>
     * Required. Fraction of average YARN pending memory in the last cooldown period
     * for which to remove workers. A scale-down factor of 1 will result in
     * scaling down so that there is no available memory remaining after the
     * update (more aggressive scaling). A scale-down factor of 0 disables
     * removing workers, which can be beneficial for autoscaling a single job.
     * See [How autoscaling
     * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
     * for more information.
     * Bounds: [0.0, 1.0].
     * </pre>
     *
     * <code>double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];</code>
     *
     * @param value The scaleDownFactor to set.
     * @return This builder for chaining.
     */
    public Builder setScaleDownFactor(double value) {

      scaleDownFactor_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. Fraction of average YARN pending memory in the last cooldown period
     * for which to remove workers. A scale-down factor of 1 will result in
     * scaling down so that there is no available memory remaining after the
     * update (more aggressive scaling). A scale-down factor of 0 disables
     * removing workers, which can be beneficial for autoscaling a single job.
     * See [How autoscaling
     * works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
     * for more information.
     * Bounds: [0.0, 1.0].
     * </pre>
     *
     * <code>double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearScaleDownFactor() {

      scaleDownFactor_ = 0D;
      onChanged();
      return this;
    }

    private double scaleUpMinWorkerFraction_;
    /**
     *
     *
     * <pre>
     * Optional. Minimum scale-up threshold as a fraction of total cluster size
     * before scaling occurs. For example, in a 20-worker cluster, a threshold of
     * 0.1 means the autoscaler must recommend at least a 2-worker scale-up for
     * the cluster to scale. A threshold of 0 means the autoscaler will scale up
     * on any recommended change.
     * Bounds: [0.0, 1.0]. Default: 0.0.
     * </pre>
     *
     * <code>double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return The scaleUpMinWorkerFraction.
     */
    @java.lang.Override
    public double getScaleUpMinWorkerFraction() {
      return scaleUpMinWorkerFraction_;
    }
    /**
     *
     *
     * <pre>
     * Optional. Minimum scale-up threshold as a fraction of total cluster size
     * before scaling occurs. For example, in a 20-worker cluster, a threshold of
     * 0.1 means the autoscaler must recommend at least a 2-worker scale-up for
     * the cluster to scale. A threshold of 0 means the autoscaler will scale up
     * on any recommended change.
     * Bounds: [0.0, 1.0]. Default: 0.0.
     * </pre>
     *
     * <code>double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param value The scaleUpMinWorkerFraction to set.
     * @return This builder for chaining.
     */
    public Builder setScaleUpMinWorkerFraction(double value) {

      scaleUpMinWorkerFraction_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. Minimum scale-up threshold as a fraction of total cluster size
     * before scaling occurs. For example, in a 20-worker cluster, a threshold of
     * 0.1 means the autoscaler must recommend at least a 2-worker scale-up for
     * the cluster to scale. A threshold of 0 means the autoscaler will scale up
     * on any recommended change.
     * Bounds: [0.0, 1.0]. Default: 0.0.
     * </pre>
     *
     * <code>double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearScaleUpMinWorkerFraction() {

      scaleUpMinWorkerFraction_ = 0D;
      onChanged();
      return this;
    }

    private double scaleDownMinWorkerFraction_;
    /**
     *
     *
     * <pre>
     * Optional. Minimum scale-down threshold as a fraction of total cluster size
     * before scaling occurs. For example, in a 20-worker cluster, a threshold of
     * 0.1 means the autoscaler must recommend at least a 2 worker scale-down for
     * the cluster to scale. A threshold of 0 means the autoscaler will scale down
     * on any recommended change.
     * Bounds: [0.0, 1.0]. Default: 0.0.
     * </pre>
     *
     * <code>double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return The scaleDownMinWorkerFraction.
     */
    @java.lang.Override
    public double getScaleDownMinWorkerFraction() {
      return scaleDownMinWorkerFraction_;
    }
    /**
     *
     *
     * <pre>
     * Optional. Minimum scale-down threshold as a fraction of total cluster size
     * before scaling occurs. For example, in a 20-worker cluster, a threshold of
     * 0.1 means the autoscaler must recommend at least a 2 worker scale-down for
     * the cluster to scale. A threshold of 0 means the autoscaler will scale down
     * on any recommended change.
     * Bounds: [0.0, 1.0]. Default: 0.0.
     * </pre>
     *
     * <code>double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param value The scaleDownMinWorkerFraction to set.
     * @return This builder for chaining.
     */
    public Builder setScaleDownMinWorkerFraction(double value) {

      scaleDownMinWorkerFraction_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. Minimum scale-down threshold as a fraction of total cluster size
     * before scaling occurs. For example, in a 20-worker cluster, a threshold of
     * 0.1 means the autoscaler must recommend at least a 2 worker scale-down for
     * the cluster to scale. A threshold of 0 means the autoscaler will scale down
     * on any recommended change.
     * Bounds: [0.0, 1.0]. Default: 0.0.
     * </pre>
     *
     * <code>double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearScaleDownMinWorkerFraction() {

      scaleDownMinWorkerFraction_ = 0D;
      onChanged();
      return this;
    }

    @java.lang.Override
    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFields(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }

    // @@protoc_insertion_point(builder_scope:google.cloud.dataproc.v1.BasicYarnAutoscalingConfig)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.dataproc.v1.BasicYarnAutoscalingConfig)
  private static final com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig();
  }

  public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<BasicYarnAutoscalingConfig> PARSER =
      new com.google.protobuf.AbstractParser<BasicYarnAutoscalingConfig>() {
        @java.lang.Override
        public BasicYarnAutoscalingConfig parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          return new BasicYarnAutoscalingConfig(input, extensionRegistry);
        }
      };

  public static com.google.protobuf.Parser<BasicYarnAutoscalingConfig> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<BasicYarnAutoscalingConfig> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}