- HTTP request
- Path parameters
- Query parameters
- Request body
- Response body
- Authorization scopes
- Try it!
Updates an autoscaler in the specified project using the data included in the request. This method supports PATCH semantics and uses the JSON merge patch format and processing rules.
HTTP request
 PATCH https://compute.googleapis.com/compute/beta/projects/{project}/zones/{zone}/autoscalers 
The URL uses gRPC Transcoding syntax. To know more about valid error responses that can be thrown by this HTTP request, please refer to the service error catalog
Path parameters
| Parameters | |
|---|---|
| project |   Project ID for this request. | 
| zone |   Name of the zone for this request. | 
Query parameters
requestId 
 string 
An optional request ID to identify requests. Specify a unique request ID so that if you must retry your request, the server will know to ignore the request if it has already been completed.
For example, consider a situation where you make an initial request and the request times out. If you make the request again with the same request ID, the server can check if original operation with the same request ID was received, and if so, will ignore the second request. This prevents clients from accidentally creating duplicate commitments.
The request ID must be a valid UUID 
with the exception that zero UUID is not supported ( 00000000-0000-0000-0000-000000000000 
).
autoscaler 
 string 
Name of the autoscaler to patch.
Authorization requires one or more of the following IAM 
permissions on the specified resource autoscaler 
:
-  compute.autoscalers.get
-  compute.autoscalers.update
Request body
The request body contains data with the following structure:
| JSON representation | 
|---|
| { "kind" : string , "id" : string , "creationTimestamp" : string , "name" : string , "description" : string , "target" : string , "autoscalingPolicy" : { "minNumReplicas" : integer , "maxNumReplicas" : integer , "scaleDownControl" : { "maxScaledDownReplicas" : { "fixed" : integer , "percent" : integer , "calculated" : integer } , "timeWindowSec" : integer } , "scaleInControl" : { "maxScaledInReplicas" : { "fixed" : integer , "percent" : integer , "calculated" : integer } , "timeWindowSec" : integer } , "coolDownPeriodSec" : integer , "cpuUtilization" : { "utilizationTarget" : number , "predictiveMethod" : enum } , "customMetricUtilizations" : [ { "metric" : string , "filter" : string , "utilizationTargetType" : enum , "utilizationTarget" : number , "singleInstanceAssignment" : number } ] , "loadBalancingUtilization" : { "utilizationTarget" : number } , "mode" : enum , "scalingSchedules" : { string : { "minRequiredReplicas" : integer , "schedule" : string , "timeZone" : string , "durationSec" : integer , "disabled" : boolean , "description" : string } , ... } } , "zone" : string , "region" : string , "selfLink" : string , "status" : enum , "statusDetails" : [ { "message" : string , "type" : enum } ] , "recommendedSize" : integer , "scalingScheduleStatus" : { string : { "nextStartTime" : string , "lastStartTime" : string , "state" : enum } , ... } } | 
kind 
 string 
[Output Only] Type of the resource. Always compute#autoscaler 
for autoscalers.
id 
 string ( uint64 
format) 
[Output Only] The unique identifier for the resource. This identifier is defined by the server.
name 
 string 
Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035 
. Specifically, the name must be 1-63 characters long and match the regular expression [a-z]([-a-z0-9]*[a-z0-9])? 
which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
description 
 string 
An optional description of this resource. Provide this property when you create the resource.
target 
 string 
URL of the managed instance group that this autoscaler will scale. This field is required when creating an autoscaler.
Authorization requires the following IAM 
permission on the specified resource target 
:
-  compute.instanceGroupManagers.use
autoscalingPolicy 
 object 
The configuration parameters for the autoscaling algorithm. You can define one or more signals for an autoscaler: cpuUtilization 
, customMetricUtilizations 
, and loadBalancingUtilization 
.
If none of these are specified, the default will be to autoscale based on cpuUtilization 
to 0.6 
or 60%.
autoscalingPolicy.minNumReplicas 
 integer 
The minimum number of replicas that the autoscaler can scale in to. This cannot be less than 0. If not provided, autoscaler chooses a default value depending on maximum number of instances allowed.
autoscalingPolicy.maxNumReplicas 
 integer 
The maximum number of instances that the autoscaler can scale out to. This is required when creating or updating an autoscaler. The maximum number of replicas must not be lower than minimal number of replicas.
autoscalingPolicy.scaleDownControl 
 object 
autoscalingPolicy.scaleDownControl.maxScaledDownReplicas 
 object 
Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations. Possibly all these VMs can be deleted at once so user service needs to be prepared to lose that many VMs in one step.
autoscalingPolicy.scaleDownControl.maxScaledDownReplicas.fixed 
 integer 
Specifies a fixed number of VM instances. This must be a positive integer.
autoscalingPolicy.scaleDownControl.maxScaledDownReplicas.percent 
 integer 
Specifies a percentage of instances between 0 to 100%, inclusive. For example, specify 80 
for 80%.
autoscalingPolicy.scaleDownControl.maxScaledDownReplicas.calculated 
 integer 
[Output Only] Absolute value of VM instances calculated based on the specific mode.
- If the value is fixed, then thecalculatedvalue is equal to thefixedvalue.
- If the value is a percent, then thecalculatedvalue ispercent/100 *targetSize. For example, thecalculatedvalue of a 80% of a managed instance group with 150 instances would be (80/100 * 150) = 120 VM instances. If there is a remainder, the number is rounded.
autoscalingPolicy.scaleDownControl.timeWindowSec 
 integer 
How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.
autoscalingPolicy.scaleInControl 
 object 
autoscalingPolicy.scaleInControl.maxScaledInReplicas 
 object 
Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations. Possibly all these VMs can be deleted at once so user service needs to be prepared to lose that many VMs in one step.
autoscalingPolicy.scaleInControl.maxScaledInReplicas.fixed 
 integer 
Specifies a fixed number of VM instances. This must be a positive integer.
autoscalingPolicy.scaleInControl.maxScaledInReplicas.percent 
 integer 
Specifies a percentage of instances between 0 to 100%, inclusive. For example, specify 80 
for 80%.
autoscalingPolicy.scaleInControl.maxScaledInReplicas.calculated 
 integer 
[Output Only] Absolute value of VM instances calculated based on the specific mode.
- If the value is fixed, then thecalculatedvalue is equal to thefixedvalue.
- If the value is a percent, then thecalculatedvalue ispercent/100 *targetSize. For example, thecalculatedvalue of a 80% of a managed instance group with 150 instances would be (80/100 * 150) = 120 VM instances. If there is a remainder, the number is rounded.
autoscalingPolicy.scaleInControl.timeWindowSec 
 integer 
How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.
autoscalingPolicy.coolDownPeriodSec 
 integer 
The number of seconds that your application takes to initialize on a VM instance. This is referred to as the initialization period . Specifying an accurate initialization period improves autoscaler decisions. For example, when scaling out, the autoscaler ignores data from VMs that are still initializing because those VMs might not yet represent normal usage of your application. The default initialization period is 60 seconds.
Initialization periods might vary because of numerous factors. We recommend that you test how long your application takes to initialize. To do this, create a VM and time your application's startup process.
autoscalingPolicy.cpuUtilization 
 object 
Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
autoscalingPolicy.cpuUtilization.utilizationTarget 
 number 
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.
autoscalingPolicy.cpuUtilization.predictiveMethod 
 enum 
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.
autoscalingPolicy.customMetricUtilizations[] 
 object 
Configuration parameters of autoscaling based on a custom metric.
autoscalingPolicy.customMetricUtilizations[].utilizationTarget 
 number 
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 utilizationTarget 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.
autoscalingPolicy.customMetricUtilizations[].singleInstanceAssignment 
 number 
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 utilizationTarget instead.
autoscalingPolicy.customMetricUtilizations[].metric 
 string 
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 
.
autoscalingPolicy.customMetricUtilizations[].filter 
 string 
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 ANDoperator 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.
autoscalingPolicy.customMetricUtilizations[].utilizationTargetType 
 enum 
Defines how target utilization value is expressed for a Stackdriver Monitoring metric. Either GAUGE 
, DELTA_PER_SECOND 
, or DELTA_PER_MINUTE 
.
autoscalingPolicy.loadBalancingUtilization 
 object 
Configuration parameters of autoscaling based on load balancer.
autoscalingPolicy.loadBalancingUtilization.utilizationTarget 
 number 
Fraction of backend capacity utilization (set in HTTP(S) load balancing configuration) that the autoscaler maintains. Must be a positive float value. If not defined, the default is 0.8 
.
autoscalingPolicy.mode 
 enum 
Defines the operating mode for this policy. The following modes are available:
-  OFF: Disables the autoscaler but maintains its configuration.
-  ONLY_SCALE_OUT: Restricts the autoscaler to add VM instances only.
-  ON: Enables all autoscaler activities according to its policy.
autoscalingPolicy.scalingSchedules[] 
 map (key: string, value: object) 
Scaling schedules defined for an autoscaler. Multiple schedules can be set on an autoscaler, and they can overlap. During overlapping periods the greatest minRequiredReplicas of all scaling schedules is applied. Up to 128 scaling schedules are allowed.
autoscalingPolicy.scalingSchedules[].minRequiredReplicas 
 integer 
The minimum number of VM instances that the autoscaler will recommend in time intervals starting according to schedule. This field is required.
autoscalingPolicy.scalingSchedules[].schedule 
 string 
The start timestamps of time intervals when this scaling schedule is to provide a scaling signal. This field uses the extended cron format (with an optional year field). The expression can describe a single timestamp if the optional year is set, in which case the scaling schedule runs once. The schedule is interpreted with respect to timeZone. This field is required. Note: These timestamps only describe when autoscaler starts providing the scaling signal. The VMs need additional time to become serving.
autoscalingPolicy.scalingSchedules[].timeZone 
 string 
The time zone to use when interpreting the schedule. The value of this field must be a time zone name from the tz database: https://en.wikipedia.org/wiki/Tz_database . This field is assigned a default value of "UTC" if left empty.
autoscalingPolicy.scalingSchedules[].durationSec 
 integer 
The duration of time intervals, in seconds, for which this scaling schedule is to run. The minimum allowed value is 300. This field is required.
autoscalingPolicy.scalingSchedules[].disabled 
 boolean 
A boolean value that specifies whether a scaling schedule can influence autoscaler recommendations. If set to true, then a scaling schedule has no effect. This field is optional, and its value is false by default.
autoscalingPolicy.scalingSchedules[].description 
 string 
A description of a scaling schedule.
zone 
 string 
[Output Only] URL of the zone where the instance group resides (for autoscalers living in zonal scope).
region 
 string 
[Output Only] URL of the region where the instance group resides (for autoscalers living in regional scope).
selfLink 
 string 
[Output Only] Server-defined URL for the resource.
status 
 enum 
[Output Only] The status of the autoscaler configuration. Current set of possible values:
-  PENDING: Autoscaler backend hasn't read new/updated configuration.
-  DELETING: Configuration is being deleted.
-  ACTIVE: Configuration is acknowledged to be effective. Some warnings might be present in thestatusDetailsfield.
-  ERROR: Configuration has errors. Actionable for users. Details are present in thestatusDetailsfield.
statusDetails[] 
 object 
[Output Only] Human-readable details about the current state of the autoscaler. Read the documentation for Commonly returned status messages for examples of status messages you might encounter.
statusDetails[].message 
 string 
The status message.
statusDetails[].type 
 enum 
The type of error, warning, or notice returned. Current set of possible values:
-  ALL_INSTANCES_UNHEALTHY(WARNING): All instances in the instance group are unhealthy (not in RUNNING state).
-  BACKEND_SERVICE_DOES_NOT_EXIST(ERROR): There is no backend service attached to the instance group.
-  CAPPED_AT_MAX_NUM_REPLICAS(WARNING): Autoscaler recommends a size greater than maxNumReplicas.
-  CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE(WARNING): The custom metric samples are not exported often enough to be a credible base for autoscaling.
-  CUSTOM_METRIC_INVALID(ERROR): The custom metric that was specified does not exist or does not have the necessary labels.
-  MIN_EQUALS_MAX(WARNING): The minNumReplicas is equal to maxNumReplicas. This means the autoscaler cannot add or remove instances from the instance group.
-  MISSING_CUSTOM_METRIC_DATA_POINTS(WARNING): The autoscaler did not receive any data from the custom metric configured for autoscaling.
-  MISSING_LOAD_BALANCING_DATA_POINTS(WARNING): The autoscaler is configured to scale based on a load balancing signal but the instance group has not received any requests from the load balancer.
-  MODE_OFF(WARNING): Autoscaling is turned off. The number of instances in the group won't change automatically. The autoscaling configuration is preserved.
-  MODE_ONLY_UP(WARNING): Autoscaling is in the "Autoscale only out" mode. The autoscaler can add instances but not remove any.
-  MORE_THAN_ONE_BACKEND_SERVICE(ERROR): The instance group cannot be autoscaled because it has more than one backend service attached to it.
-  NOT_ENOUGH_QUOTA_AVAILABLE(ERROR): There is insufficient quota for the necessary resources, such as CPU or number of instances.
-  REGION_RESOURCE_STOCKOUT(ERROR): Shown only for regional autoscalers: there is a resource stockout in the chosen region.
-  SCALING_TARGET_DOES_NOT_EXIST(ERROR): The target to be scaled does not exist.
-  UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION(ERROR): Autoscaling does not work with an HTTP/S load balancer that has been configured for maxRate.
-  ZONE_RESOURCE_STOCKOUT(ERROR): For zonal autoscalers: there is a resource stockout in the chosen zone. For regional autoscalers: in at least one of the zones you're using there is a resource stockout.
recommendedSize 
 integer 
[Output Only] Target recommended MIG size (number of instances) computed by autoscaler. Autoscaler calculates the recommended MIG size even when the autoscaling policy mode is different from ON. This field is empty when autoscaler is not connected to an existing managed instance group or autoscaler did not generate its prediction.
scalingScheduleStatus[] 
 map (key: string, value: object) 
[Output Only] Status information of existing scaling schedules.
scalingScheduleStatus[].nextStartTime 
 string 
[Output Only] The next time the scaling schedule is to become active. Note: this is a timestamp when a schedule is planned to run, but the actual time might be slightly different. The timestamp is in RFC3339 text format.
scalingScheduleStatus[].lastStartTime 
 string 
[Output Only] The last time the scaling schedule became active. Note: this is a timestamp when a schedule actually became active, not when it was planned to do so. The timestamp is in RFC3339 text format.
scalingScheduleStatus[].state 
 enum 
[Output Only] The current state of a scaling schedule.
Response body
Represents an Operation resource.
Google Compute Engine has three Operation resources:
You can use an operation resource to manage asynchronous API requests. For more information, read Handling API responses .
Operations can be global, regional or zonal.
- For global operations, use the globalOperationsresource.
- For regional operations, use the regionOperationsresource.
- For zonal operations, use the zoneOperationsresource.
For more information, read Global, Regional, and Zonal Resources .
Note that completed Operation resources have a limited retention period.
If successful, the response body contains data with the following structure:
| JSON representation | 
|---|
| { "kind" : string , "id" : string , "creationTimestamp" : string , "name" : string , "zone" : string , "clientOperationId" : string , "operationType" : string , "targetLink" : string , "targetId" : string , "status" : enum , "statusMessage" : string , "user" : string , "progress" : integer , "insertTime" : string , "startTime" : string , "endTime" : string , "error" : { "errors" : [ { "code" : string , "location" : string , "message" : string , "errorDetails" : [ { "errorInfo" : { "reason" : string , "domain" : string , "metadatas" : { string : string , ... } } , "quotaInfo" : { "metricName" : string , "limitName" : string , "dimensions" : { string : string , ... } , "limit" : number , "futureLimit" : number , "rolloutStatus" : enum } , "help" : { "links" : [ { "description" : string , "url" : string } ] } , "localizedMessage" : { "locale" : string , "message" : string } } ] } ] } , "warnings" : [ { "code" : enum , "message" : string , "data" : [ { "key" : string , "value" : string } ] } ] , "httpErrorStatusCode" : integer , "httpErrorMessage" : string , "selfLink" : string , "region" : string , "description" : string , "operationGroupId" : string , // Union field | 
kind 
 string 
[Output Only] Type of the resource. Always compute#operation 
for Operation resources.
id 
 string ( uint64 
format) 
[Output Only] The unique identifier for the operation. This identifier is defined by the server.
name 
 string 
[Output Only] Name of the operation.
zone 
 string 
[Output Only] The URL of the zone where the operation resides. Only applicable when performing per-zone operations.
clientOperationId 
 string 
[Output Only] The value of requestId 
if you provided it in the request. Not present otherwise.
operationType 
 string 
[Output Only] The type of operation, such as insert 
, update 
, or delete 
, and so on.
targetLink 
 string 
[Output Only] The URL of the resource that the operation modifies. For operations related to creating a snapshot, this points to the disk that the snapshot was created from.
targetId 
 string ( uint64 
format) 
[Output Only] The unique target ID, which identifies a specific incarnation of the target resource.
status 
 enum 
[Output Only] The status of the operation, which can be one of the following: PENDING 
, RUNNING 
, or DONE 
.
user 
 string 
[Output Only] User who requested the operation, for example: user@example.com 
or alice_smith_identifier (global/workforcePools/example-com-us-employees) 
.
progress 
 integer 
[Output Only] An optional progress indicator that ranges from 0 to 100. There is no requirement that this be linear or support any granularity of operations. This should not be used to guess when the operation will be complete. This number should monotonically increase as the operation progresses.
startTime 
 string 
[Output Only] The time that this operation was started by the server. This value is in RFC3339 text format.
endTime 
 string 
[Output Only] The time that this operation was completed. This value is in RFC3339 text format.
error 
 object 
[Output Only] If errors are generated during processing of the operation, this field will be populated.
error.errors[] 
 object 
[Output Only] The array of errors encountered while processing this operation.
error.errors[].code 
 string 
[Output Only] The error type identifier for this error.
error.errors[].location 
 string 
[Output Only] Indicates the field in the request that caused the error. This property is optional.
error.errors[].message 
 string 
[Output Only] An optional, human-readable error message.
error.errors[].errorDetails[] 
 object 
[Output Only] An optional list of messages that contain the error details. There is a set of defined message types to use for providing details.The syntax depends on the error code. For example, QuotaExceededInfo will have details when the error code is QUOTA_EXCEEDED.
error.errors[].errorDetails[].errorInfo 
 object 
error.errors[].errorDetails[].errorInfo.reason 
 string 
The reason of the error. This is a constant value that identifies the proximate cause of the error. Error reasons are unique within a particular domain of errors. This should be at most 63 characters and match a regular expression of [A-Z][A-Z0-9_]+[A-Z0-9] 
, which represents UPPER_SNAKE_CASE.
error.errors[].errorDetails[].errorInfo.domain 
 string 
The logical grouping to which the "reason" belongs. The error domain is typically the registered service name of the tool or product that generates the error. Example: "pubsub.googleapis.com". If the error is generated by some common infrastructure, the error domain must be a globally unique value that identifies the infrastructure. For Google API infrastructure, the error domain is "googleapis.com".
error.errors[].errorDetails[].errorInfo.metadatas 
 map (key: string, value: string) 
Additional structured details about this error.
Keys must match a regular expression of [a-z][a-zA-Z0-9-_]+ 
but should ideally be lowerCamelCase. Also, they must be limited to 64 characters in length. When identifying the current value of an exceeded limit, the units should be contained in the key, not the value. For example, rather than {"instanceLimit": "100/request"} 
, should be returned as, {"instanceLimitPerRequest": "100"} 
, if the client exceeds the number of instances that can be created in a single (batch) request.
error.errors[].errorDetails[].quotaInfo 
 object 
error.errors[].errorDetails[].quotaInfo.metricName 
 string 
The Compute Engine quota metric name.
error.errors[].errorDetails[].quotaInfo.limitName 
 string 
The name of the quota limit.
error.errors[].errorDetails[].quotaInfo.dimensions 
 map (key: string, value: string) 
The map holding related quota dimensions.
error.errors[].errorDetails[].quotaInfo.limit 
 number 
Current effective quota limit. The limit's unit depends on the quota type or metric.
error.errors[].errorDetails[].quotaInfo.futureLimit 
 number 
Future quota limit being rolled out. The limit's unit depends on the quota type or metric.
error.errors[].errorDetails[].quotaInfo.rolloutStatus 
 enum 
Rollout status of the future quota limit.
error.errors[].errorDetails[].help 
 object 
error.errors[].errorDetails[].help.links[] 
 object 
URL(s) pointing to additional information on handling the current error.
error.errors[].errorDetails[].help.links[].description 
 string 
Describes what the link offers.
error.errors[].errorDetails[].help.links[].url 
 string 
The URL of the link.
error.errors[].errorDetails[].localizedMessage 
 object 
error.errors[].errorDetails[].localizedMessage.locale 
 string 
The locale used following the specification defined at https://www.rfc-editor.org/rfc/bcp/bcp47.txt . Examples are: "en-US", "fr-CH", "es-MX"
error.errors[].errorDetails[].localizedMessage.message 
 string 
The localized error message in the above locale.
warnings[] 
 object 
[Output Only] If warning messages are generated during processing of the operation, this field will be populated.
warnings[].code 
 enum 
[Output Only] A warning code, if applicable. For example, Compute Engine returns NO_RESULTS_ON_PAGE 
if there are no results in the response.
warnings[].message 
 string 
[Output Only] A human-readable description of the warning code.
warnings[].data[] 
 object 
[Output Only] Metadata about this warning in key: value 
format. For example:
"data": [  {  "key": "scope",  "value": "zones/us-east1-d"  } 
warnings[].data[].key 
 string 
[Output Only] A key that provides more detail on the warning being returned. For example, for warnings where there are no results in a list request for a particular zone, this key might be scope 
and the key value might be the zone name. Other examples might be a key indicating a deprecated resource and a suggested replacement, or a warning about invalid network settings (for example, if an instance attempts to perform IP forwarding but is not enabled for IP forwarding).
warnings[].data[].value 
 string 
[Output Only] A warning data value corresponding to the key.
httpErrorStatusCode 
 integer 
[Output Only] If the operation fails, this field contains the HTTP error status code that was returned. For example, a 404 
means the resource was not found.
selfLink 
 string 
[Output Only] Server-defined URL for the resource.
region 
 string 
[Output Only] The URL of the region where the operation resides. Only applicable when performing regional operations.
description 
 string 
[Output Only] A textual description of the operation, which is set when the operation is created.
operationGroupId 
 string 
[Output Only] An ID that represents a group of operations, such as when a group of operations results from a bulkInsert 
API request.
setCommonInstanceMetadataOperationMetadata.clientOperationId 
 string 
[Output Only] The client operation id.
setCommonInstanceMetadataOperationMetadata.perLocationOperations[] 
 map (key: string, value: object) 
[Output Only] Status information per location (location name is key). Example key: zones/us-central1-a
setCommonInstanceMetadataOperationMetadata.perLocationOperations[].state 
 enum 
[Output Only] Status of the action, which can be one of the following: PROPAGATING 
, PROPAGATED 
, ABANDONED 
, FAILED 
, or DONE 
.
setCommonInstanceMetadataOperationMetadata.perLocationOperations[].error 
 object 
[Output Only] If state is ABANDONED 
or FAILED 
, this field is populated.
setCommonInstanceMetadataOperationMetadata.perLocationOperations[].error.code 
 integer 
The status code, which should be an enum value of google.rpc.Code 
.
setCommonInstanceMetadataOperationMetadata.perLocationOperations[].error.message 
 string 
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details 
field, or localized by the client.
setCommonInstanceMetadataOperationMetadata.perLocationOperations[].error.details[] 
 object 
A list of messages that carry the error details. There is a common set of message types for APIs to use.
An object containing fields of an arbitrary type. An additional field "@type" 
contains a URI identifying the type. Example: { "id": 1234, "@type": "types.example.com/standard/id" } 
.
instancesBulkInsertOperationMetadata.perLocationStatus[] 
 map (key: string, value: object) 
Status information per location (location name is key). Example key: zones/us-central1-a
instancesBulkInsertOperationMetadata.perLocationStatus[].status 
 enum 
[Output Only] Creation status of BulkInsert operation - information if the flow is rolling forward or rolling back.
instancesBulkInsertOperationMetadata.perLocationStatus[].targetVmCount 
 integer 
[Output Only] Count of VMs originally planned to be created.
instancesBulkInsertOperationMetadata.perLocationStatus[].createdVmCount 
 integer 
[Output Only] Count of VMs successfully created so far.
instancesBulkInsertOperationMetadata.perLocationStatus[].failedToCreateVmCount 
 integer 
[Output Only] Count of VMs that started creating but encountered an error.
instancesBulkInsertOperationMetadata.perLocationStatus[].deletedVmCount 
 integer 
[Output Only] Count of VMs that got deleted during rollback.
Authorization scopes
Requires one of the following OAuth scopes:
-  https://www.googleapis.com/auth/compute
-  https://www.googleapis.com/auth/cloud-platform
For more information, see the Authentication Overview .

