public final class AutoscalingPolicyCustomMetricUtilization extends GeneratedMessageV3 implements AutoscalingPolicyCustomMetricUtilizationOrBuilder
Custom utilization metric policy.
Protobuf type google.cloud.compute.v1.AutoscalingPolicyCustomMetricUtilization
Static Fields
FILTER_FIELD_NUMBER
public static final int FILTER_FIELD_NUMBER
Field Value
METRIC_FIELD_NUMBER
public static final int METRIC_FIELD_NUMBER
Field Value
SINGLE_INSTANCE_ASSIGNMENT_FIELD_NUMBER
public static final int SINGLE_INSTANCE_ASSIGNMENT_FIELD_NUMBER
Field Value
UTILIZATION_TARGET_FIELD_NUMBER
public static final int UTILIZATION_TARGET_FIELD_NUMBER
Field Value
UTILIZATION_TARGET_TYPE_FIELD_NUMBER
public static final int UTILIZATION_TARGET_TYPE_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static AutoscalingPolicyCustomMetricUtilization getDefaultInstance()
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getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
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newBuilder()
public static AutoscalingPolicyCustomMetricUtilization.Builder newBuilder()
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newBuilder(AutoscalingPolicyCustomMetricUtilization prototype)
public static AutoscalingPolicyCustomMetricUtilization.Builder newBuilder(AutoscalingPolicyCustomMetricUtilization prototype)
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public static AutoscalingPolicyCustomMetricUtilization parseDelimitedFrom(InputStream input)
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public static AutoscalingPolicyCustomMetricUtilization parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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parseFrom(byte[] data)
public static AutoscalingPolicyCustomMetricUtilization parseFrom(byte[] data)
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| Name | Description |
| data | byte[]
|
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parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static AutoscalingPolicyCustomMetricUtilization parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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parseFrom(ByteString data)
public static AutoscalingPolicyCustomMetricUtilization parseFrom(ByteString data)
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parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static AutoscalingPolicyCustomMetricUtilization parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static AutoscalingPolicyCustomMetricUtilization parseFrom(CodedInputStream input)
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public static AutoscalingPolicyCustomMetricUtilization parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoscalingPolicyCustomMetricUtilization parseFrom(InputStream input)
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public static AutoscalingPolicyCustomMetricUtilization parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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parseFrom(ByteBuffer data)
public static AutoscalingPolicyCustomMetricUtilization parseFrom(ByteBuffer data)
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parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static AutoscalingPolicyCustomMetricUtilization parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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parser()
public static Parser<AutoscalingPolicyCustomMetricUtilization> parser()
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Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
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Overrides
getDefaultInstanceForType()
public AutoscalingPolicyCustomMetricUtilization getDefaultInstanceForType()
Returns
getFilter()
public String getFilter()
A filter string, compatible with a Stackdriver Monitoring filter string for TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. For the filter to be valid for autoscaling purposes, the following rules apply: - You can only use the AND operator for joining selectors. - You can only use direct equality comparison operator (=) without any functions for each selector. - You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. - The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. Try to provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
optional string filter = 336120696;
| Type | Description |
| String | The filter.
|
getFilterBytes()
public ByteString getFilterBytes()
A filter string, compatible with a Stackdriver Monitoring filter string for TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. For the filter to be valid for autoscaling purposes, the following rules apply: - You can only use the AND operator for joining selectors. - You can only use direct equality comparison operator (=) without any functions for each selector. - You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. - The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. Try to provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
optional string filter = 336120696;
getMetric()
public String getMetric()
The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
optional string metric = 533067184;
| Type | Description |
| String | The metric.
|
getMetricBytes()
public ByteString getMetricBytes()
The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
optional string metric = 533067184;
getParserForType()
public Parser<AutoscalingPolicyCustomMetricUtilization> getParserForType()
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Overrides
getSerializedSize()
public int getSerializedSize()
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Overrides
getSingleInstanceAssignment()
public double getSingleInstanceAssignment()
If scaling is based on a per-group metric value that represents the total amount of work to be done or resource usage, set this value to an amount assigned for a single instance of the scaled group. Autoscaler keeps the number of instances proportional to the value of this metric. The metric itself does not change value due to group resizing. A good metric to use with the target is for example pubsub.googleapis.com/subscription/num_undelivered_messages or a custom metric exporting the total number of requests coming to your instances. A bad example would be a metric exporting an average or median latency, since this value can't include a chunk assignable to a single instance, it could be better used with utilization_target instead.
optional double single_instance_assignment = 504768064;
| Type | Description |
| double | The singleInstanceAssignment.
|
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
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Overrides
getUtilizationTarget()
public double getUtilizationTarget()
The target value of the metric that autoscaler maintains. This must be a positive value. A utilization metric scales number of virtual machines handling requests to increase or decrease proportionally to the metric. For example, a good metric to use as a utilization_target is https://www.googleapis.com/compute/v1/instance/network/received_bytes_count. The autoscaler works to keep this value constant for each of the instances.
optional double utilization_target = 215905870;
| Type | Description |
| double | The utilizationTarget.
|
getUtilizationTargetType()
public String getUtilizationTargetType()
Defines how target utilization value is expressed for a Stackdriver Monitoring metric. Either GAUGE, DELTA_PER_SECOND, or DELTA_PER_MINUTE.
Check the UtilizationTargetType enum for the list of possible values.
optional string utilization_target_type = 340169355;
| Type | Description |
| String | The utilizationTargetType.
|
getUtilizationTargetTypeBytes()
public ByteString getUtilizationTargetTypeBytes()
Defines how target utilization value is expressed for a Stackdriver Monitoring metric. Either GAUGE, DELTA_PER_SECOND, or DELTA_PER_MINUTE.
Check the UtilizationTargetType enum for the list of possible values.
optional string utilization_target_type = 340169355;
| Type | Description |
| ByteString | The bytes for utilizationTargetType.
|
hasFilter()
public boolean hasFilter()
A filter string, compatible with a Stackdriver Monitoring filter string for TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. For the filter to be valid for autoscaling purposes, the following rules apply: - You can only use the AND operator for joining selectors. - You can only use direct equality comparison operator (=) without any functions for each selector. - You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. - The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. Try to provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
optional string filter = 336120696;
| Type | Description |
| boolean | Whether the filter field is set.
|
hasMetric()
public boolean hasMetric()
The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
optional string metric = 533067184;
| Type | Description |
| boolean | Whether the metric field is set.
|
hasSingleInstanceAssignment()
public boolean hasSingleInstanceAssignment()
If scaling is based on a per-group metric value that represents the total amount of work to be done or resource usage, set this value to an amount assigned for a single instance of the scaled group. Autoscaler keeps the number of instances proportional to the value of this metric. The metric itself does not change value due to group resizing. A good metric to use with the target is for example pubsub.googleapis.com/subscription/num_undelivered_messages or a custom metric exporting the total number of requests coming to your instances. A bad example would be a metric exporting an average or median latency, since this value can't include a chunk assignable to a single instance, it could be better used with utilization_target instead.
optional double single_instance_assignment = 504768064;
| Type | Description |
| boolean | Whether the singleInstanceAssignment field is set.
|
hasUtilizationTarget()
public boolean hasUtilizationTarget()
The target value of the metric that autoscaler maintains. This must be a positive value. A utilization metric scales number of virtual machines handling requests to increase or decrease proportionally to the metric. For example, a good metric to use as a utilization_target is https://www.googleapis.com/compute/v1/instance/network/received_bytes_count. The autoscaler works to keep this value constant for each of the instances.
optional double utilization_target = 215905870;
| Type | Description |
| boolean | Whether the utilizationTarget field is set.
|
hasUtilizationTargetType()
public boolean hasUtilizationTargetType()
Defines how target utilization value is expressed for a Stackdriver Monitoring metric. Either GAUGE, DELTA_PER_SECOND, or DELTA_PER_MINUTE.
Check the UtilizationTargetType enum for the list of possible values.
optional string utilization_target_type = 340169355;
| Type | Description |
| boolean | Whether the utilizationTargetType field is set.
|
hashCode()
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Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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isInitialized()
public final boolean isInitialized()
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Overrides
newBuilderForType()
public AutoscalingPolicyCustomMetricUtilization.Builder newBuilderForType()
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newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected AutoscalingPolicyCustomMetricUtilization.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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toBuilder()
public AutoscalingPolicyCustomMetricUtilization.Builder toBuilder()
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writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
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Overrides
Exceptions
