[][src]Struct google_monitoring3::TimeSeries

pub struct TimeSeries {
    pub points: Option<Vec<Point>>,
    pub resource: Option<MonitoredResource>,
    pub metric_kind: Option<String>,
    pub metric: Option<Metric>,
    pub value_type: Option<String>,
    pub metadata: Option<MonitoredResourceMetadata>,
}

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.

This type is not used in any activity, and only used as part of another schema.

Fields

points: Option<Vec<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.

resource: Option<MonitoredResource>

The associated monitored resource. Custom metrics can use only certain monitored resource types in their time series data.

metric_kind: Option<String>

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.

metric: Option<Metric>

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

value_type: Option<String>

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.

metadata: Option<MonitoredResourceMetadata>

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

Trait Implementations

impl Part for TimeSeries[src]

impl Default for TimeSeries[src]

impl Clone for TimeSeries[src]

fn clone_from(&mut self, source: &Self)1.0.0[src]

Performs copy-assignment from source. Read more

impl Debug for TimeSeries[src]

impl Serialize for TimeSeries[src]

impl<'de> Deserialize<'de> for TimeSeries[src]

Auto Trait Implementations

Blanket Implementations

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

The resulting type after obtaining ownership.

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> BorrowMut<T> for T where
    T: ?Sized
[src]

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Typeable for T where
    T: Any

fn get_type(&self) -> TypeId

Get the TypeId of this object.

impl<T> DeserializeOwned for T where
    T: Deserialize<'de>, 
[src]