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/*
* Copyright 2024 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
// Protobuf Java Version: 3.25.5
package com.google.cloud.dataproc.v1;
/**
*
*
*
* Basic autoscaling configurations for YARN.
*
*
* Protobuf type {@code google.cloud.dataproc.v1.BasicYarnAutoscalingConfig}
*/
public final class BasicYarnAutoscalingConfig extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.dataproc.v1.BasicYarnAutoscalingConfig)
BasicYarnAutoscalingConfigOrBuilder {
private static final long serialVersionUID = 0L;
// Use BasicYarnAutoscalingConfig.newBuilder() to construct.
private BasicYarnAutoscalingConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private BasicYarnAutoscalingConfig() {}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new BasicYarnAutoscalingConfig();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dataproc.v1.AutoscalingPoliciesProto
.internal_static_google_cloud_dataproc_v1_BasicYarnAutoscalingConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dataproc.v1.AutoscalingPoliciesProto
.internal_static_google_cloud_dataproc_v1_BasicYarnAutoscalingConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.class,
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.Builder.class);
}
private int bitField0_;
public static final int GRACEFUL_DECOMMISSION_TIMEOUT_FIELD_NUMBER = 5;
private com.google.protobuf.Duration gracefulDecommissionTimeout_;
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return Whether the gracefulDecommissionTimeout field is set.
*/
@java.lang.Override
public boolean hasGracefulDecommissionTimeout() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return The gracefulDecommissionTimeout.
*/
@java.lang.Override
public com.google.protobuf.Duration getGracefulDecommissionTimeout() {
return gracefulDecommissionTimeout_ == null
? com.google.protobuf.Duration.getDefaultInstance()
: gracefulDecommissionTimeout_;
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public com.google.protobuf.DurationOrBuilder getGracefulDecommissionTimeoutOrBuilder() {
return gracefulDecommissionTimeout_ == null
? com.google.protobuf.Duration.getDefaultInstance()
: gracefulDecommissionTimeout_;
}
public static final int SCALE_UP_FACTOR_FIELD_NUMBER = 1;
private double scaleUpFactor_ = 0D;
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];
*
* @return The scaleUpFactor.
*/
@java.lang.Override
public double getScaleUpFactor() {
return scaleUpFactor_;
}
public static final int SCALE_DOWN_FACTOR_FIELD_NUMBER = 2;
private double scaleDownFactor_ = 0D;
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];
*
* @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_ = 0D;
/**
*
*
*
* 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.
*
*
* double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
*
* @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_ = 0D;
/**
*
*
*
* 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.
*
*
* double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @return The scaleDownMinWorkerFraction.
*/
@java.lang.Override
public double getScaleDownMinWorkerFraction() {
return scaleDownMinWorkerFraction_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (java.lang.Double.doubleToRawLongBits(scaleUpFactor_) != 0) {
output.writeDouble(1, scaleUpFactor_);
}
if (java.lang.Double.doubleToRawLongBits(scaleDownFactor_) != 0) {
output.writeDouble(2, scaleDownFactor_);
}
if (java.lang.Double.doubleToRawLongBits(scaleUpMinWorkerFraction_) != 0) {
output.writeDouble(3, scaleUpMinWorkerFraction_);
}
if (java.lang.Double.doubleToRawLongBits(scaleDownMinWorkerFraction_) != 0) {
output.writeDouble(4, scaleDownMinWorkerFraction_);
}
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(5, getGracefulDecommissionTimeout());
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (java.lang.Double.doubleToRawLongBits(scaleUpFactor_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, scaleUpFactor_);
}
if (java.lang.Double.doubleToRawLongBits(scaleDownFactor_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, scaleDownFactor_);
}
if (java.lang.Double.doubleToRawLongBits(scaleUpMinWorkerFraction_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(3, scaleUpMinWorkerFraction_);
}
if (java.lang.Double.doubleToRawLongBits(scaleDownMinWorkerFraction_) != 0) {
size +=
com.google.protobuf.CodedOutputStream.computeDoubleSize(4, scaleDownMinWorkerFraction_);
}
if (((bitField0_ & 0x00000001) != 0)) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
5, getGracefulDecommissionTimeout());
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig)) {
return super.equals(obj);
}
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig other =
(com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig) obj;
if (hasGracefulDecommissionTimeout() != other.hasGracefulDecommissionTimeout()) return false;
if (hasGracefulDecommissionTimeout()) {
if (!getGracefulDecommissionTimeout().equals(other.getGracefulDecommissionTimeout()))
return false;
}
if (java.lang.Double.doubleToLongBits(getScaleUpFactor())
!= java.lang.Double.doubleToLongBits(other.getScaleUpFactor())) return false;
if (java.lang.Double.doubleToLongBits(getScaleDownFactor())
!= java.lang.Double.doubleToLongBits(other.getScaleDownFactor())) return false;
if (java.lang.Double.doubleToLongBits(getScaleUpMinWorkerFraction())
!= java.lang.Double.doubleToLongBits(other.getScaleUpMinWorkerFraction())) return false;
if (java.lang.Double.doubleToLongBits(getScaleDownMinWorkerFraction())
!= java.lang.Double.doubleToLongBits(other.getScaleDownMinWorkerFraction())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (hasGracefulDecommissionTimeout()) {
hash = (37 * hash) + GRACEFUL_DECOMMISSION_TIMEOUT_FIELD_NUMBER;
hash = (53 * hash) + getGracefulDecommissionTimeout().hashCode();
}
hash = (37 * hash) + SCALE_UP_FACTOR_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(
java.lang.Double.doubleToLongBits(getScaleUpFactor()));
hash = (37 * hash) + SCALE_DOWN_FACTOR_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(
java.lang.Double.doubleToLongBits(getScaleDownFactor()));
hash = (37 * hash) + SCALE_UP_MIN_WORKER_FRACTION_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(
java.lang.Double.doubleToLongBits(getScaleUpMinWorkerFraction()));
hash = (37 * hash) + SCALE_DOWN_MIN_WORKER_FRACTION_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(
java.lang.Double.doubleToLongBits(getScaleDownMinWorkerFraction()));
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Basic autoscaling configurations for YARN.
*
*
* Protobuf type {@code google.cloud.dataproc.v1.BasicYarnAutoscalingConfig}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.dataproc.v1.BasicYarnAutoscalingConfig)
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dataproc.v1.AutoscalingPoliciesProto
.internal_static_google_cloud_dataproc_v1_BasicYarnAutoscalingConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dataproc.v1.AutoscalingPoliciesProto
.internal_static_google_cloud_dataproc_v1_BasicYarnAutoscalingConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.class,
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.Builder.class);
}
// Construct using com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
getGracefulDecommissionTimeoutFieldBuilder();
}
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
gracefulDecommissionTimeout_ = null;
if (gracefulDecommissionTimeoutBuilder_ != null) {
gracefulDecommissionTimeoutBuilder_.dispose();
gracefulDecommissionTimeoutBuilder_ = null;
}
scaleUpFactor_ = 0D;
scaleDownFactor_ = 0D;
scaleUpMinWorkerFraction_ = 0D;
scaleDownMinWorkerFraction_ = 0D;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.dataproc.v1.AutoscalingPoliciesProto
.internal_static_google_cloud_dataproc_v1_BasicYarnAutoscalingConfig_descriptor;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig getDefaultInstanceForType() {
return com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig build() {
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig buildPartial() {
com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig result =
new com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig result) {
int from_bitField0_ = bitField0_;
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.gracefulDecommissionTimeout_ =
gracefulDecommissionTimeoutBuilder_ == null
? gracefulDecommissionTimeout_
: gracefulDecommissionTimeoutBuilder_.build();
to_bitField0_ |= 0x00000001;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.scaleUpFactor_ = scaleUpFactor_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.scaleDownFactor_ = scaleDownFactor_;
}
if (((from_bitField0_ & 0x00000008) != 0)) {
result.scaleUpMinWorkerFraction_ = scaleUpMinWorkerFraction_;
}
if (((from_bitField0_ & 0x00000010) != 0)) {
result.scaleDownMinWorkerFraction_ = scaleDownMinWorkerFraction_;
}
result.bitField0_ |= to_bitField0_;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig) {
return mergeFrom((com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig other) {
if (other == com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig.getDefaultInstance())
return this;
if (other.hasGracefulDecommissionTimeout()) {
mergeGracefulDecommissionTimeout(other.getGracefulDecommissionTimeout());
}
if (other.getScaleUpFactor() != 0D) {
setScaleUpFactor(other.getScaleUpFactor());
}
if (other.getScaleDownFactor() != 0D) {
setScaleDownFactor(other.getScaleDownFactor());
}
if (other.getScaleUpMinWorkerFraction() != 0D) {
setScaleUpMinWorkerFraction(other.getScaleUpMinWorkerFraction());
}
if (other.getScaleDownMinWorkerFraction() != 0D) {
setScaleDownMinWorkerFraction(other.getScaleDownMinWorkerFraction());
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 9:
{
scaleUpFactor_ = input.readDouble();
bitField0_ |= 0x00000002;
break;
} // case 9
case 17:
{
scaleDownFactor_ = input.readDouble();
bitField0_ |= 0x00000004;
break;
} // case 17
case 25:
{
scaleUpMinWorkerFraction_ = input.readDouble();
bitField0_ |= 0x00000008;
break;
} // case 25
case 33:
{
scaleDownMinWorkerFraction_ = input.readDouble();
bitField0_ |= 0x00000010;
break;
} // case 33
case 42:
{
input.readMessage(
getGracefulDecommissionTimeoutFieldBuilder().getBuilder(), extensionRegistry);
bitField0_ |= 0x00000001;
break;
} // case 42
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
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_;
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return Whether the gracefulDecommissionTimeout field is set.
*/
public boolean hasGracefulDecommissionTimeout() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*
* @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();
}
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setGracefulDecommissionTimeout(com.google.protobuf.Duration value) {
if (gracefulDecommissionTimeoutBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
gracefulDecommissionTimeout_ = value;
} else {
gracefulDecommissionTimeoutBuilder_.setMessage(value);
}
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setGracefulDecommissionTimeout(
com.google.protobuf.Duration.Builder builderForValue) {
if (gracefulDecommissionTimeoutBuilder_ == null) {
gracefulDecommissionTimeout_ = builderForValue.build();
} else {
gracefulDecommissionTimeoutBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder mergeGracefulDecommissionTimeout(com.google.protobuf.Duration value) {
if (gracefulDecommissionTimeoutBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0)
&& gracefulDecommissionTimeout_ != null
&& gracefulDecommissionTimeout_ != com.google.protobuf.Duration.getDefaultInstance()) {
getGracefulDecommissionTimeoutBuilder().mergeFrom(value);
} else {
gracefulDecommissionTimeout_ = value;
}
} else {
gracefulDecommissionTimeoutBuilder_.mergeFrom(value);
}
if (gracefulDecommissionTimeout_ != null) {
bitField0_ |= 0x00000001;
onChanged();
}
return this;
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder clearGracefulDecommissionTimeout() {
bitField0_ = (bitField0_ & ~0x00000001);
gracefulDecommissionTimeout_ = null;
if (gracefulDecommissionTimeoutBuilder_ != null) {
gracefulDecommissionTimeoutBuilder_.dispose();
gracefulDecommissionTimeoutBuilder_ = null;
}
onChanged();
return this;
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.protobuf.Duration.Builder getGracefulDecommissionTimeoutBuilder() {
bitField0_ |= 0x00000001;
onChanged();
return getGracefulDecommissionTimeoutFieldBuilder().getBuilder();
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.protobuf.DurationOrBuilder getGracefulDecommissionTimeoutOrBuilder() {
if (gracefulDecommissionTimeoutBuilder_ != null) {
return gracefulDecommissionTimeoutBuilder_.getMessageOrBuilder();
} else {
return gracefulDecommissionTimeout_ == null
? com.google.protobuf.Duration.getDefaultInstance()
: gracefulDecommissionTimeout_;
}
}
/**
*
*
*
* 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].
*
*
*
* .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];
*
*/
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_;
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];
*
* @return The scaleUpFactor.
*/
@java.lang.Override
public double getScaleUpFactor() {
return scaleUpFactor_;
}
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];
*
* @param value The scaleUpFactor to set.
* @return This builder for chaining.
*/
public Builder setScaleUpFactor(double value) {
scaleUpFactor_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];
*
* @return This builder for chaining.
*/
public Builder clearScaleUpFactor() {
bitField0_ = (bitField0_ & ~0x00000002);
scaleUpFactor_ = 0D;
onChanged();
return this;
}
private double scaleDownFactor_;
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];
*
* @return The scaleDownFactor.
*/
@java.lang.Override
public double getScaleDownFactor() {
return scaleDownFactor_;
}
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];
*
* @param value The scaleDownFactor to set.
* @return This builder for chaining.
*/
public Builder setScaleDownFactor(double value) {
scaleDownFactor_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* 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](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
*
* Bounds: [0.0, 1.0].
*
*
* double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];
*
* @return This builder for chaining.
*/
public Builder clearScaleDownFactor() {
bitField0_ = (bitField0_ & ~0x00000004);
scaleDownFactor_ = 0D;
onChanged();
return this;
}
private double scaleUpMinWorkerFraction_;
/**
*
*
*
* 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.
*
*
* double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @return The scaleUpMinWorkerFraction.
*/
@java.lang.Override
public double getScaleUpMinWorkerFraction() {
return scaleUpMinWorkerFraction_;
}
/**
*
*
*
* 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.
*
*
* double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @param value The scaleUpMinWorkerFraction to set.
* @return This builder for chaining.
*/
public Builder setScaleUpMinWorkerFraction(double value) {
scaleUpMinWorkerFraction_ = value;
bitField0_ |= 0x00000008;
onChanged();
return this;
}
/**
*
*
*
* 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.
*
*
* double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @return This builder for chaining.
*/
public Builder clearScaleUpMinWorkerFraction() {
bitField0_ = (bitField0_ & ~0x00000008);
scaleUpMinWorkerFraction_ = 0D;
onChanged();
return this;
}
private double scaleDownMinWorkerFraction_;
/**
*
*
*
* 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.
*
*
* double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @return The scaleDownMinWorkerFraction.
*/
@java.lang.Override
public double getScaleDownMinWorkerFraction() {
return scaleDownMinWorkerFraction_;
}
/**
*
*
*
* 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.
*
*
* double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @param value The scaleDownMinWorkerFraction to set.
* @return This builder for chaining.
*/
public Builder setScaleDownMinWorkerFraction(double value) {
scaleDownMinWorkerFraction_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
/**
*
*
*
* 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.
*
*
* double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];
*
*
* @return This builder for chaining.
*/
public Builder clearScaleDownMinWorkerFraction() {
bitField0_ = (bitField0_ & ~0x00000010);
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 PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public BasicYarnAutoscalingConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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