Class AutoscalingPolicyCpuUtilization.Builder (1.39.0)

public static final class AutoscalingPolicyCpuUtilization.Builder extends GeneratedMessageV3.Builder<AutoscalingPolicyCpuUtilization.Builder> implements AutoscalingPolicyCpuUtilizationOrBuilder

CPU utilization policy.

Protobuf type google.cloud.compute.v1.AutoscalingPolicyCpuUtilization

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AutoscalingPolicyCpuUtilization.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

build()

public AutoscalingPolicyCpuUtilization build()
Returns
TypeDescription
AutoscalingPolicyCpuUtilization

buildPartial()

public AutoscalingPolicyCpuUtilization buildPartial()
Returns
TypeDescription
AutoscalingPolicyCpuUtilization

clear()

public AutoscalingPolicyCpuUtilization.Builder clear()
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public AutoscalingPolicyCpuUtilization.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public AutoscalingPolicyCpuUtilization.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

clearPredictiveMethod()

public AutoscalingPolicyCpuUtilization.Builder clearPredictiveMethod()

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand. Check the PredictiveMethod enum for the list of possible values.

optional string predictive_method = 390220737;

Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder

This builder for chaining.

clearUtilizationTarget()

public AutoscalingPolicyCpuUtilization.Builder clearUtilizationTarget()

The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6. If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization. If the average CPU is above the target utilization, the autoscaler scales out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.

optional double utilization_target = 215905870;

Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder

This builder for chaining.

clone()

public AutoscalingPolicyCpuUtilization.Builder clone()
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

getDefaultInstanceForType()

public AutoscalingPolicyCpuUtilization getDefaultInstanceForType()
Returns
TypeDescription
AutoscalingPolicyCpuUtilization

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getPredictiveMethod()

public String getPredictiveMethod()

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand. Check the PredictiveMethod enum for the list of possible values.

optional string predictive_method = 390220737;

Returns
TypeDescription
String

The predictiveMethod.

getPredictiveMethodBytes()

public ByteString getPredictiveMethodBytes()

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand. Check the PredictiveMethod enum for the list of possible values.

optional string predictive_method = 390220737;

Returns
TypeDescription
ByteString

The bytes for predictiveMethod.

getUtilizationTarget()

public double getUtilizationTarget()

The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6. If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization. If the average CPU is above the target utilization, the autoscaler scales out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.

optional double utilization_target = 215905870;

Returns
TypeDescription
double

The utilizationTarget.

hasPredictiveMethod()

public boolean hasPredictiveMethod()

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand. Check the PredictiveMethod enum for the list of possible values.

optional string predictive_method = 390220737;

Returns
TypeDescription
boolean

Whether the predictiveMethod field is set.

hasUtilizationTarget()

public boolean hasUtilizationTarget()

The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6. If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization. If the average CPU is above the target utilization, the autoscaler scales out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.

optional double utilization_target = 215905870;

Returns
TypeDescription
boolean

Whether the utilizationTarget field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(AutoscalingPolicyCpuUtilization other)

public AutoscalingPolicyCpuUtilization.Builder mergeFrom(AutoscalingPolicyCpuUtilization other)
Parameter
NameDescription
otherAutoscalingPolicyCpuUtilization
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AutoscalingPolicyCpuUtilization.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides
Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public AutoscalingPolicyCpuUtilization.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AutoscalingPolicyCpuUtilization.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public AutoscalingPolicyCpuUtilization.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

setPredictiveMethod(String value)

public AutoscalingPolicyCpuUtilization.Builder setPredictiveMethod(String value)

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand. Check the PredictiveMethod enum for the list of possible values.

optional string predictive_method = 390220737;

Parameter
NameDescription
valueString

The predictiveMethod to set.

Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder

This builder for chaining.

setPredictiveMethodBytes(ByteString value)

public AutoscalingPolicyCpuUtilization.Builder setPredictiveMethodBytes(ByteString value)

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand. Check the PredictiveMethod enum for the list of possible values.

optional string predictive_method = 390220737;

Parameter
NameDescription
valueByteString

The bytes for predictiveMethod to set.

Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public AutoscalingPolicyCpuUtilization.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final AutoscalingPolicyCpuUtilization.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder
Overrides

setUtilizationTarget(double value)

public AutoscalingPolicyCpuUtilization.Builder setUtilizationTarget(double value)

The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6. If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization. If the average CPU is above the target utilization, the autoscaler scales out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.

optional double utilization_target = 215905870;

Parameter
NameDescription
valuedouble

The utilizationTarget to set.

Returns
TypeDescription
AutoscalingPolicyCpuUtilization.Builder

This builder for chaining.