Struct gapi_grpc::google::monitoring::v3::alert_policy::condition::MetricAbsence[][src]

pub struct MetricAbsence {
    pub filter: String,
    pub aggregations: Vec<Aggregation>,
    pub duration: Option<Duration>,
    pub trigger: Option<Trigger>,
}

A condition type that checks that monitored resources are reporting data. The configuration defines a metric and a set of monitored resources. The predicate is considered in violation when a time series for the specified metric of a monitored resource does not include any data in the specified duration.

Fields

filter: String

Required. A filter that identifies which time series should be compared with the threshold.

The filter is similar to the one that is specified in the ListTimeSeries request (that call is useful to verify the time series that will be retrieved / processed). The filter must specify the metric type and the resource type. Optionally, it can specify resource labels and metric labels. This field must not exceed 2048 Unicode characters in length.

aggregations: Vec<Aggregation>

Specifies the alignment of data points in individual time series as well as how to combine the retrieved time series together (such as when aggregating multiple streams on each resource to a single stream for each resource or when aggregating streams across all members of a group of resrouces). Multiple aggregations are applied in the order specified.

This field is similar to the one in the ListTimeSeries request. It is advisable to use the ListTimeSeries method when debugging this field.

duration: Option<Duration>

The amount of time that a time series must fail to report new data to be considered failing. The minimum value of this field is 120 seconds. Larger values that are a multiple of a minute–for example, 240 or 300 seconds–are supported. If an invalid value is given, an error will be returned. The Duration.nanos field is ignored.

trigger: Option<Trigger>

The number/percent of time series for which the comparison must hold in order for the condition to trigger. If unspecified, then the condition will trigger if the comparison is true for any of the time series that have been identified by filter and aggregations.

Trait Implementations

impl Clone for MetricAbsence[src]

impl Debug for MetricAbsence[src]

impl Default for MetricAbsence[src]

impl Message for MetricAbsence[src]

impl PartialEq<MetricAbsence> for MetricAbsence[src]

impl StructuralPartialEq for MetricAbsence[src]

Auto Trait Implementations

impl RefUnwindSafe for MetricAbsence

impl Send for MetricAbsence

impl Sync for MetricAbsence

impl Unpin for MetricAbsence

impl UnwindSafe for MetricAbsence

Blanket Implementations

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

impl<T> Instrument for T[src]

impl<T> Instrument for T[src]

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

impl<T> ToOwned for T where
    T: Clone
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type Owned = T

The resulting type after obtaining ownership.

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>, 
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impl<T> WithSubscriber for T[src]