Enum google_api_proto::google::monitoring::dashboard::v1::aggregation::Aligner

#[repr(i32)]
pub enum Aligner {
    AlignNone = 0,
    AlignDelta = 1,
    AlignRate = 2,
    AlignInterpolate = 3,
    AlignNextOlder = 4,
    AlignMin = 10,
    AlignMax = 11,
    AlignMean = 12,
    AlignCount = 13,
    AlignSum = 14,
    AlignStddev = 15,
    AlignCountTrue = 16,
    AlignCountFalse = 24,
    AlignFractionTrue = 17,
    AlignPercentile99 = 18,
    AlignPercentile95 = 19,
    AlignPercentile50 = 20,
    AlignPercentile05 = 21,
    AlignPercentChange = 23,
}

The Aligner specifies the operation that will be applied to the data points in each alignment period in a time series. Except for ALIGN_NONE, which specifies that no operation be applied, each alignment operation replaces the set of data values in each alignment period with a single value: the result of applying the operation to the data values. An aligned time series has a single data value at the end of each alignment_period.

An alignment operation can change the data type of the values, too. For example, if you apply a counting operation to boolean values, the data value_type in the original time series is BOOLEAN, but the value_type in the aligned result is INT64.

Variants

AlignNone = 0

No alignment. Raw data is returned. Not valid if cross-series reduction is requested. The value_type of the result is the same as the value_type of the input.

AlignDelta = 1

Align and convert to [DELTA][google.api.MetricDescriptor.MetricKind.DELTA]. The output is delta = y1 - y0.

This alignment is valid for [CUMULATIVE][google.api.MetricDescriptor.MetricKind.CUMULATIVE] and DELTA metrics. If the selected alignment period results in periods with no data, then the aligned value for such a period is created by interpolation. The value_type of the aligned result is the same as the value_type of the input.

AlignRate = 2

Align and convert to a rate. The result is computed as rate = (y1 - y0)/(t1 - t0), or “delta over time”. Think of this aligner as providing the slope of the line that passes through the value at the start and at the end of the alignment_period.

This aligner is valid for CUMULATIVE and DELTA metrics with numeric values. If the selected alignment period results in periods with no data, then the aligned value for such a period is created by interpolation. The output is a GAUGE metric with value_type DOUBLE.

If, by “rate”, you mean “percentage change”, see the ALIGN_PERCENT_CHANGE aligner instead.

AlignInterpolate = 3

Align by interpolating between adjacent points around the alignment period boundary. This aligner is valid for GAUGE metrics with numeric values. The value_type of the aligned result is the same as the value_type of the input.

AlignNextOlder = 4

Align by moving the most recent data point before the end of the alignment period to the boundary at the end of the alignment period. This aligner is valid for GAUGE metrics. The value_type of the aligned result is the same as the value_type of the input.

AlignMin = 10

Align the time series by returning the minimum value in each alignment period. This aligner is valid for GAUGE and DELTA metrics with numeric values. The value_type of the aligned result is the same as the value_type of the input.

AlignMax = 11

Align the time series by returning the maximum value in each alignment period. This aligner is valid for GAUGE and DELTA metrics with numeric values. The value_type of the aligned result is the same as the value_type of the input.

AlignMean = 12

Align the time series by returning the mean value in each alignment period. This aligner is valid for GAUGE and DELTA metrics with numeric values. The value_type of the aligned result is DOUBLE.

AlignCount = 13

Align the time series by returning the number of values in each alignment period. This aligner is valid for GAUGE and DELTA metrics with numeric or Boolean values. The value_type of the aligned result is INT64.

AlignSum = 14

Align the time series by returning the sum of the values in each alignment period. This aligner is valid for GAUGE and DELTA metrics with numeric and distribution values. The value_type of the aligned result is the same as the value_type of the input.

AlignStddev = 15

Align the time series by returning the standard deviation of the values in each alignment period. This aligner is valid for GAUGE and DELTA metrics with numeric values. The value_type of the output is DOUBLE.

AlignCountTrue = 16

Align the time series by returning the number of True values in each alignment period. This aligner is valid for GAUGE metrics with Boolean values. The value_type of the output is INT64.

AlignCountFalse = 24

Align the time series by returning the number of False values in each alignment period. This aligner is valid for GAUGE metrics with Boolean values. The value_type of the output is INT64.

AlignFractionTrue = 17

Align the time series by returning the ratio of the number of True values to the total number of values in each alignment period. This aligner is valid for GAUGE metrics with Boolean values. The output value is in the range [0.0, 1.0] and has value_type DOUBLE.

AlignPercentile99 = 18

Align the time series by using percentile aggregation. The resulting data point in each alignment period is the 99th percentile of all data points in the period. This aligner is valid for GAUGE and DELTA metrics with distribution values. The output is a GAUGE metric with value_type DOUBLE.

AlignPercentile95 = 19

Align the time series by using percentile aggregation. The resulting data point in each alignment period is the 95th percentile of all data points in the period. This aligner is valid for GAUGE and DELTA metrics with distribution values. The output is a GAUGE metric with value_type DOUBLE.

AlignPercentile50 = 20

Align the time series by using percentile aggregation. The resulting data point in each alignment period is the 50th percentile of all data points in the period. This aligner is valid for GAUGE and DELTA metrics with distribution values. The output is a GAUGE metric with value_type DOUBLE.

AlignPercentile05 = 21

Align the time series by using percentile aggregation. The resulting data point in each alignment period is the 5th percentile of all data points in the period. This aligner is valid for GAUGE and DELTA metrics with distribution values. The output is a GAUGE metric with value_type DOUBLE.

AlignPercentChange = 23

Align and convert to a percentage change. This aligner is valid for GAUGE and DELTA metrics with numeric values. This alignment returns ((current - previous)/previous) * 100, where the value of previous is determined based on the alignment_period.

If the values of current and previous are both 0, then the returned value is 0. If only previous is 0, the returned value is infinity.

A 10-minute moving mean is computed at each point of the alignment period prior to the above calculation to smooth the metric and prevent false positives from very short-lived spikes. The moving mean is only applicable for data whose values are >= 0. Any values < 0 are treated as a missing datapoint, and are ignored. While DELTA metrics are accepted by this alignment, special care should be taken that the values for the metric will always be positive. The output is a GAUGE metric with value_type DOUBLE.

Implementations

impl Aligner

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of Aligner.

pub fn from_i32(value: i32) -> Option<Aligner>

👎Deprecated: Use the TryFrom<i32> implementation instead

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

impl Aligner

pub fn as_str_name(&self) -> &'static str

String value of the enum field names used in the ProtoBuf definition.

The values are not transformed in any way and thus are considered stable (if the ProtoBuf definition does not change) and safe for programmatic use.

pub fn from_str_name(value: &str) -> Option<Self>

Creates an enum from field names used in the ProtoBuf definition.

Trait Implementations

impl Clone for Aligner

fn clone(&self) -> Aligner

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Aligner

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Aligner

fn default() -> Aligner

Returns the “default value” for a type.

impl From<Aligner> for i32

fn from(value: Aligner) -> i32

Converts to this type from the input type.

impl Hash for Aligner

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for Aligner

fn cmp(&self, other: &Aligner) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized + PartialOrd,

Restrict a value to a certain interval.

impl PartialEq for Aligner

fn eq(&self, other: &Aligner) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PartialOrd for Aligner

fn partial_cmp(&self, other: &Aligner) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

This method tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

This method tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

This method tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

This method tests greater than or equal to (for self and other) and is used by the >= operator.

impl TryFrom<i32> for Aligner

type Error = UnknownEnumValue

The type returned in the event of a conversion error.

fn try_from(value: i32) -> Result<Aligner, UnknownEnumValue>

Performs the conversion.

impl Copy for Aligner

impl Eq for Aligner

impl StructuralPartialEq for Aligner