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() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@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_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.gracefulDecommissionTimeout_ =
gracefulDecommissionTimeoutBuilder_ == null
? gracefulDecommissionTimeout_
: gracefulDecommissionTimeoutBuilder_.build();
}
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_;
}
}
@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);
}
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;
}
}