Enum gapi_grpc::google::monitoring::v3::aggregation::Reducer[][src]

#[repr(i32)]pub enum Reducer {
    ReduceNone,
    ReduceMean,
    ReduceMin,
    ReduceMax,
    ReduceSum,
    ReduceStddev,
    ReduceCount,
    ReduceCountTrue,
    ReduceCountFalse,
    ReduceFractionTrue,
    ReducePercentile99,
    ReducePercentile95,
    ReducePercentile50,
    ReducePercentile05,
}

A Reducer operation describes how to aggregate data points from multiple time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.

Variants

ReduceNone

No cross-time series reduction. The output of the Aligner is returned.

ReduceMean

Reduce by computing the mean value across time series for each alignment period. This reducer is valid for [DELTA][google.api.MetricDescriptor.MetricKind.DELTA] and [GAUGE][google.api.MetricDescriptor.MetricKind.GAUGE] metrics with numeric or distribution values. The value_type of the output is [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].

ReduceMin

Reduce by computing the minimum value across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics with numeric values. The value_type of the output is the same as the value_type of the input.

ReduceMax

Reduce by computing the maximum value across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics with numeric values. The value_type of the output is the same as the value_type of the input.

ReduceSum

Reduce by computing the sum across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics with numeric and distribution values. The value_type of the output is the same as the value_type of the input.

ReduceStddev

Reduce by computing the standard deviation across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics with numeric or distribution values. The value_type of the output is DOUBLE.

ReduceCount

Reduce by computing the number of data points across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics of numeric, Boolean, distribution, and string value_type. The value_type of the output is INT64.

ReduceCountTrue

Reduce by computing the number of True-valued data points across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics of Boolean value_type. The value_type of the output is INT64.

ReduceCountFalse

Reduce by computing the number of False-valued data points across time series for each alignment period. This reducer is valid for DELTA and GAUGE metrics of Boolean value_type. The value_type of the output is INT64.

ReduceFractionTrue

Reduce by computing the ratio of the number of True-valued data points to the total number of data points for each alignment period. This reducer is valid for DELTA and GAUGE metrics of Boolean value_type. The output value is in the range [0.0, 1.0] and has value_type DOUBLE.

ReducePercentile99

Reduce by computing the 99th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

ReducePercentile95

Reduce by computing the 95th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

ReducePercentile50

Reduce by computing the 50th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

ReducePercentile05

Reduce by computing the 5th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

Implementations

impl Reducer[src]

pub fn is_valid(value: i32) -> bool[src]

Returns true if value is a variant of Reducer.

pub fn from_i32(value: i32) -> Option<Reducer>[src]

Converts an i32 to a Reducer, or None if value is not a valid variant.

Trait Implementations

impl Clone for Reducer[src]

impl Copy for Reducer[src]

impl Debug for Reducer[src]

impl Default for Reducer[src]

impl Eq for Reducer[src]

impl From<Reducer> for i32[src]

impl Hash for Reducer[src]

impl Ord for Reducer[src]

impl PartialEq<Reducer> for Reducer[src]

impl PartialOrd<Reducer> for Reducer[src]

impl StructuralEq for Reducer[src]

impl StructuralPartialEq for Reducer[src]

Auto Trait Implementations

impl RefUnwindSafe for Reducer

impl Send for Reducer

impl Sync for Reducer

impl Unpin for Reducer

impl UnwindSafe for Reducer

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<Q, K> Equivalent<K> for Q where
    K: Borrow<Q> + ?Sized,
    Q: Eq + ?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>, 
[src]

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>, 
[src]

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]