com.google.api.services.compute.model

Class AutoscalingPolicyCustomMetricUtilization

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.compute.model.AutoscalingPolicyCustomMetricUtilization

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class AutoscalingPolicyCustomMetricUtilization
extends GenericJson

Custom utilization metric policy.

This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the Compute Engine API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

GenericData.Flags

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Constructor Summary

Constructors

Constructor and Description
AutoscalingPolicyCustomMetricUtilization()

Method Summary

Modifier and Type	Method and Description
AutoscalingPolicyCustomMetricUtilization	clone()
String	getFilter() A filter string, compatible with a Stackdriver Monitoring filter string for TimeSeries.list API call.
String	getMetric() The identifier (type) of the Stackdriver Monitoring metric.
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.
Double	getUtilizationTarget() The target value of the metric that autoscaler maintains.
String	getUtilizationTargetType() Defines how target utilization value is expressed for a Stackdriver Monitoring metric.
AutoscalingPolicyCustomMetricUtilization	set(String fieldName, Object value)
AutoscalingPolicyCustomMetricUtilization	setFilter(String filter) A filter string, compatible with a Stackdriver Monitoring filter string for TimeSeries.list API call.
AutoscalingPolicyCustomMetricUtilization	setMetric(String metric) The identifier (type) of the Stackdriver Monitoring metric.
AutoscalingPolicyCustomMetricUtilization	setSingleInstanceAssignment(Double singleInstanceAssignment) 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.
AutoscalingPolicyCustomMetricUtilization	setUtilizationTarget(Double utilizationTarget) The target value of the metric that autoscaler maintains.
AutoscalingPolicyCustomMetricUtilization	setUtilizationTargetType(String utilizationTargetType) Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

Methods inherited from class com.google.api.client.json.GenericJson

getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData

entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

Constructor Detail

AutoscalingPolicyCustomMetricUtilization

public AutoscalingPolicyCustomMetricUtilization()

Method Detail

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.

Returns:

value or null for none

setFilter

public AutoscalingPolicyCustomMetricUtilization setFilter(String filter)

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.

Parameters:

filter - filter or null for none

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.

Returns:

value or null for none

setMetric

public AutoscalingPolicyCustomMetricUtilization setMetric(String metric)

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.

Parameters:

metric - metric or null for none

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.

Returns:

value or null for none

setSingleInstanceAssignment

public AutoscalingPolicyCustomMetricUtilization setSingleInstanceAssignment(Double singleInstanceAssignment)

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.

Parameters:

singleInstanceAssignment - singleInstanceAssignment or null for none

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.

Returns:

value or null for none

setUtilizationTarget

public AutoscalingPolicyCustomMetricUtilization setUtilizationTarget(Double utilizationTarget)

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.

Parameters:

utilizationTarget - utilizationTarget or null for none

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.

Returns:

value or null for none

setUtilizationTargetType

public AutoscalingPolicyCustomMetricUtilization setUtilizationTargetType(String utilizationTargetType)

Defines how target utilization value is expressed for a Stackdriver Monitoring metric. Either GAUGE, DELTA_PER_SECOND, or DELTA_PER_MINUTE.

Parameters:

utilizationTargetType - utilizationTargetType or null for none

set

public AutoscalingPolicyCustomMetricUtilization set(String fieldName,
                                                    Object value)

Overrides:

set in class GenericJson

clone

public AutoscalingPolicyCustomMetricUtilization clone()

Overrides:

clone in class GenericJson