## Distribution

Distribution contains summary statistics for a population of values. It optionally contains a histogram representing the distribution of those values across a set of buckets.

The summary statistics are the count, mean, sum of the squared deviation from the mean, the minimum, and the maximum of the set of population of values. The histogram is based on a sequence of buckets and gives a count of values that fall into each bucket. The boundaries of the buckets are given either explicitly or by formulas for buckets of fixed or exponentially increasing widths.

Although it is not forbidden, it is generally a bad idea to include non-finite values (infinities or NaNs) in the population of values, as this will render the mean and sum_of_squared_deviation fields meaningless.

## BucketOptions

BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.

A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite.

Fields
Union field options. Exactly one of these three fields must be set. options can be only one of the following:
linear_buckets

Linear

The linear bucket.

exponential_buckets

Exponential

The exponential buckets.

explicit_buckets

Explicit

The explicit buckets.

## Explicit

Specifies a set of buckets with arbitrary widths.

There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:

Upper bound (0 <= i < N-1): bounds[i] Lower bound (1 <= i < N); bounds[i - 1]

The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets.

Fields
bounds[]

double

The values must be monotonically increasing.

## Exponential

Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.

There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:

Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)).

Fields
num_finite_buckets

int32

Must be greater than 0.

growth_factor

double

Must be greater than 1.

scale

double

Must be greater than 0.

## Linear

Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.

There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:

Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)).

Fields
num_finite_buckets

int32

Must be greater than 0.

width

double

Must be greater than 0.

offset

double

Lower bound of the first bucket.

## LabelDescriptor

A description of a label.

Fields
key

string

The label key.

value_type

ValueType

The type of data that can be assigned to the label.

description

string

A human-readable description for the label.

## ValueType

Value types that can be used as label values.

Enums
STRING A variable-length string. This is the default.
BOOL Boolean; true or false.
INT64 A 64-bit signed integer.

## LaunchStage

The launch stage as defined by Google Cloud Platform Launch Stages.

Enums
LAUNCH_STAGE_UNSPECIFIED Do not use this default value.
EARLY_ACCESS Early Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
ALPHA Alpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects whitelisted. Alpha releases don’t have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
BETA Beta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
GA GA features are open to all developers and are considered stable and fully qualified for production use.
DEPRECATED Deprecated features are scheduled to be shut down and removed. For more information, see the “Deprecation Policy” section of our Terms of Service and the Google Cloud Platform Subject to the Deprecation Policy documentation.

## MetricDescriptor

Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable.

Fields
name

string

The resource name of the metric descriptor.

type

string

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example:

labels[]

LabelDescriptor

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

metric_kind

MetricKind

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

value_type

ValueType

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

unit

string

The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.

Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..

If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.

Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).

The supported units are a subset of The Unified Code for Units of Measure standard:

Basic units (UNIT)

• bit bit
• By byte
• s second
• min minute
• h hour
• d day

Prefixes (PREFIX)

• k kilo (10^3)
• M mega (10^6)
• G giga (10^9)
• T tera (10^12)
• P peta (10^15)
• E exa (10^18)
• Z zetta (10^21)
• Y yotta (10^24)
• m milli (10^-3)

• u micro (10^-6)
• n nano (10^-9)
• p pico (10^-12)
• f femto (10^-15)
• a atto (10^-18)
• z zepto (10^-21)
• y yocto (10^-24)
• Ki kibi (2^10)

• Mi mebi (2^20)
• Gi gibi (2^30)
• Ti tebi (2^40)
• Pi pebi (2^50)

Grammar

The grammar also includes these connectors:

• / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value).
• . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.

The grammar for a unit is as follows:

Expression = Component { "." Component } { "/" Component } ;

Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ]
| Annotation
| "1"
;

Annotation = "{" NAME "}" ;

Notes:

• Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s.
• NAME is a sequence of non-blank printable ASCII characters not containing { or }.
• 1 represents a unitary dimensionless unit of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day").
• % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent").
• 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
description

string

A detailed description of the metric, which can be used in documentation.

display_name

string

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

Optional. Metadata which can be used to guide usage of the metric.

launch_stage

LaunchStage

Optional. The launch stage of the metric definition.

monitored_resource_types[]

string

Read-only. If present, then a [time series][google.monitoring.v3.TimeSeries], which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

Additional annotations that can be used to guide the usage of a metric.

Fields
launch_stage
(deprecated)

LaunchStage

Deprecated. Must use the MetricDescriptor.launch_stage instead.

sample_period

Duration

The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.

ingest_delay

Duration

The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.

## MetricKind

The kind of measurement. It describes how the data is reported.

Enums
METRIC_KIND_UNSPECIFIED Do not use this default value.
GAUGE An instantaneous measurement of a value.
DELTA The change in a value during a time interval.
CUMULATIVE A value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.

## ValueType

The value type of a metric.

Enums
VALUE_TYPE_UNSPECIFIED Do not use this default value.
BOOL The value is a boolean. This value type can be used only if the metric kind is GAUGE.
INT64 The value is a signed 64-bit integer.
DOUBLE The value is a double precision floating point number.
STRING The value is a text string. This value type can be used only if the metric kind is GAUGE.
DISTRIBUTION The value is a Distribution.
MONEY The value is money.

## MonitoredResource

An object representing a resource that can be used for monitoring, logging, billing, or other purposes. Examples include virtual machine instances, databases, and storage devices such as disks. The type field identifies a MonitoredResourceDescriptor object that describes the resource's schema. Information in the labels field identifies the actual resource and its attributes according to the schema. For example, a particular Compute Engine VM instance could be represented by the following object, because the MonitoredResourceDescriptor for "gce_instance" has labels "instance_id" and "zone":

{ "type": "gce_instance",
"labels": { "instance_id": "12345678901234",
"zone": "us-central1-a" }}
Fields
type

string

Required. The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance.

labels

map<string, string>

Required. Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

## MonitoredResourceDescriptor

An object that describes the schema of a MonitoredResource object using a type name and a set of labels. For example, the monitored resource descriptor for Google Compute Engine VM instances has a type of "gce_instance" and specifies the use of the labels "instance_id" and "zone" to identify particular VM instances.

Different APIs can support different monitored resource types. APIs generally provide a list method that returns the monitored resource descriptors used by the API.

Fields
name

string

Optional. The resource name of the monitored resource descriptor: "projects/{project_id}/monitoredResourceDescriptors/{type}" where {type} is the value of the type field in this object and {project_id} is a project ID that provides API-specific context for accessing the type. APIs that do not use project information can use the resource name format "monitoredResourceDescriptors/{type}".

type

string

Required. The monitored resource type. For example, the type "cloudsql_database" represents databases in Google Cloud SQL. The maximum length of this value is 256 characters.

display_name

string

Optional. A concise name for the monitored resource type that might be displayed in user interfaces. It should be a Title Cased Noun Phrase, without any article or other determiners. For example, "Google Cloud SQL Database".

description

string

Optional. A detailed description of the monitored resource type that might be used in documentation.

labels[]

LabelDescriptor

Required. A set of labels used to describe instances of this monitored resource type. For example, an individual Google Cloud SQL database is identified by values for the labels "database_id" and "zone".

launch_stage

LaunchStage

Optional. The launch stage of the monitored resource definition.

Auxiliary metadata for a MonitoredResource object. MonitoredResource objects contain the minimum set of information to uniquely identify a monitored resource instance. There is some other useful auxiliary metadata. Monitoring and Logging use an ingestion pipeline to extract metadata for cloud resources of all types, and store the metadata in this message.

Fields
system_labels

Struct

Output only. Values for predefined system metadata labels. System labels are a kind of metadata extracted by Google, including "machine_image", "vpc", "subnet_id", "security_group", "name", etc. System label values can be only strings, Boolean values, or a list of strings. For example:

{ "name": "my-test-instance",
"security_group": ["a", "b", "c"],
"spot_instance": false }
user_labels

map<string, string>

Output only. A map of user-defined metadata labels.