TimeSeries

A collection of data points that describes the time-varying values of a metric. A time series is identified by a combination of a fully-specified monitored resource and a fully-specified metric. This type is used for both listing and creating time series.

JSON representation 
{
  "metric": {
    object (Metric)
  },
  "resource": {
    object (MonitoredResource)
  },
  "metadata": {
    object (MonitoredResourceMetadata)
  },
  "metricKind": enum (MetricKind),
  "valueType": enum (ValueType),
  "points": [
    {
      object (Point)
    }
  ],
  "unit": string,
  "description": string
}
Fields
metric

object (Metric)

The associated metric. A fully-specified metric used to identify the time series.
resource

object (MonitoredResource)

The associated monitored resource. Custom metrics can use only certain monitored resource types in their time series data. For more information, see Monitored resources for custom metrics.
metadata

object (MonitoredResourceMetadata)

Output only. The associated monitored resource metadata. When reading a time series, this field will include metadata labels that are explicitly named in the reduction. When creating a time series, this field is ignored.
metricKind

enum (MetricKind)

The metric kind of the time series. When listing time series, this metric kind might be different from the metric kind of the associated metric if this time series is an alignment or reduction of other time series.

When creating a time series, this field is optional. If present, it must be the same as the metric kind of the associated metric. If the associated metric's descriptor must be auto-created, then this field specifies the metric kind of the new descriptor and must be either GAUGE (the default) or CUMULATIVE.
valueType

enum (ValueType)

The value type of the time series. When listing time series, this value type might be different from the value type of the associated metric if this time series is an alignment or reduction of other time series.

When creating a time series, this field is optional. If present, it must be the same as the type of the data in the points field.
points[]

object (Point)

The data points of this time series. When listing time series, points are returned in reverse time order.

When creating a time series, this field must contain exactly one point and the point's type must be the same as the value type of the associated metric. If the associated metric's descriptor must be auto-created, then the value type of the descriptor is determined by the point's type, which must be BOOL, INT64, DOUBLE, or DISTRIBUTION.
unit

string

The units in which the metric value is reported. It is only applicable if the valueType is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values. This field can only be changed through timeSeries.create when it is empty.
description

string

Input only. A detailed description of the time series that will be associated with the google.api.MetricDescriptor for the metric. Once set, this field cannot be changed through timeSeries.create.

Metric

A specific metric, identified by specifying values for all of the labels of a MetricDescriptor.

JSON representation 
{
  "type": string,
  "labels": {
    string: string,
    ...
  }
}
Fields
type

string

An existing metric type, see google.api.MetricDescriptor. For example, custom.googleapis.com/invoice/paid/amount.
labels

map (key: string, value: string)

The set of label values that uniquely identify this metric. All labels listed in the MetricDescriptor must be assigned values.

MonitoredResourceMetadata

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.

JSON representation 
{
  "systemLabels": {
    object
  },
  "userLabels": {
    string: string,
    ...
  }
}
Fields
systemLabels

object (Struct format)

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 }
userLabels

map (key: string, value: string)

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

Point

A single data point in a time series.

JSON representation 
{
  "interval": {
    object (TimeInterval)
  },
  "value": {
    object (TypedValue)
  }
}
Fields
interval

object (TimeInterval)

The time interval to which the data point applies. For GAUGE metrics, the start time is optional, but if it is supplied, it must equal the end time. For DELTA metrics, the start and end time should specify a non-zero interval, with subsequent points specifying contiguous and non-overlapping intervals. For CUMULATIVE metrics, the start and end time should specify a non-zero interval, with subsequent points specifying 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.
value

object (TypedValue)

The value of the data point.