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Replace percentile with quantile #171

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Jul 20, 2020
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24 changes: 12 additions & 12 deletions opentelemetry/proto/metrics/v1/metrics.proto
Original file line number Diff line number Diff line change
Expand Up @@ -152,7 +152,7 @@ message MetricDescriptor {
// Summary value. Some frameworks implemented Histograms as a summary of observations
// (usually things like request durations and response sizes). While it
// also provides a total count of observations and a sum of all observed
// values, it calculates configurable percentiles over a sliding time
// values, it calculates configurable quantiles over a sliding time
// window.
// Corresponding values are stored in SummaryDataPoint.
SUMMARY = 6;
Expand Down Expand Up @@ -411,24 +411,24 @@ message SummaryDataPoint {
// systems don't expose this. If count is zero then this field must be zero.
double sum = 5;

// Represents the value at a given percentile of a distribution.
// Represents the value at a given quantile of a distribution.
//
// To record Min and Max values following conventions are used:
// - The 100th percentile is equivalent to the maximum value observed.
// - The 0th percentile is equivalent to the minimum value observed.
// - The 1.0 quantile is equivalent to the maximum value observed.
// - The 0.0 quantile is equivalent to the minimum value observed.
//
// See the following issue for more context:
// https://github.com/open-telemetry/opentelemetry-proto/issues/125
message ValueAtPercentile {
// The percentile of a distribution. Must be in the interval
// [0.0, 100.0].
double percentile = 1;
message ValueAtQuantile {
// The quantile of a distribution. Must be in the interval
// [0.0, 1.0].
double quantile = 1;

// The value at the given percentile of a distribution.
// The value at the given quantile of a distribution.
double value = 2;
}

// A list of values at different percentiles of the distribution calculated
// from the current snapshot. The percentiles must be strictly increasing.
repeated ValueAtPercentile percentile_values = 6;
// A list of values at different quantiles of the distribution calculated
// from the current snapshot. The quantiles must be strictly increasing.
repeated ValueAtQuantile quantile_values = 6;
}