diff --git a/opentelemetry/proto/metrics/v1/metrics.proto b/opentelemetry/proto/metrics/v1/metrics.proto index 80f5f82fa..8e4af495d 100644 --- a/opentelemetry/proto/metrics/v1/metrics.proto +++ b/opentelemetry/proto/metrics/v1/metrics.proto @@ -137,7 +137,6 @@ message Metric { repeated Int64DataPoint int64_data_points = 2; repeated DoubleDataPoint double_data_points = 3; repeated HistogramDataPoint histogram_data_points = 4; - repeated SummaryDataPoint summary_data_points = 5; } // Defines a metric type and its schema. @@ -154,8 +153,7 @@ message MetricDescriptor { // MeasurementValueType determines the value type for a measurement. // TODO: There is an open question about whether this should control int64 vs - // double for Histogram and Summary. There are good arguments on both sides of - // this. + // double for Histogram. There are good arguments on both sides of this. enum MeasurementValueType { // UNSPECIFIED is the default MeasurementValueType, it MUST not be // used. @@ -233,22 +231,6 @@ message MetricDescriptor { AggregationTemporality aggregation_temporality = 2; } - // Represents the type of a metric that is calculated by computing a summary - // of all reported measurements over a time interval. - // - // A Metric of this Type MUST store its values as SummaryDataPoint. - message Summary { - // It describes the value type of the measurement used to build this - // aggregation. - // - // Determines the value type of the exemplars. - MeasurementValueType measurement_value_type = 1; - - // aggregation_temporality describes if the aggregator reports delta changes - // since last report time, or cumulative changes since a fixed start time. - AggregationTemporality aggregation_temporality = 2; - } - // Type determines the aggregation type (if any) of the metric, what is the // reported value type for the data points, as well as the relatationship to // the time interval over which they are reported. @@ -262,7 +244,7 @@ message MetricDescriptor { // ---------------------------------------------- // Counter Sum(aggregation_temporality=delta;is_monotonic=true) // UpDownCounter Sum(aggregation_temporality=delta;is_monotonic=false) - // ValueRecorder Summary(aggregation_temporality=delta) + // ValueRecorder TBD // SumObserver Sum(aggregation_temporality=cumulative;is_monotonic=true) // UpDownSumObserver Sum(aggregation_temporality=cumulative;is_monotonic=false) // ValueObserver Gauge() @@ -272,7 +254,6 @@ message MetricDescriptor { Gauge gauge = 4; Sum sum = 5; Histogram histogram = 6; - Summary summary = 7; } // AggregationTemporality defines how a metric aggregator reports aggregated @@ -488,63 +469,3 @@ message HistogramDataPoint { // measurements that were used to form the data point repeated Exemplar exemplars = 8; } - -// SummaryDataPoint is a single data point in a timeseries that describes the time-varying -// values of a Summary metric. -message SummaryDataPoint { - // The set of labels that uniquely identify this timeseries. - repeated opentelemetry.proto.common.v1.StringKeyValue labels = 1; - - // start_time_unix_nano is the last time when the aggregation value was reset - // to "zero". For some metric types this is ignored, see MetricsDescriptor - // types for more details. - // - // The aggregation value is over the time interval (start_time_unix_nano, - // time_unix_nano]. - // - // Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January - // 1970. - // - // Value of 0 indicates that the timestamp is unspecified. In that case the - // timestamp may be decided by the backend. - fixed64 start_time_unix_nano = 2; - - // time_unix_nano is the moment when this aggregation value was reported. - // - // Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January - // 1970. - fixed64 time_unix_nano = 3; - - // The total number of recorded values since start_time. Optional since - // some systems don't expose this. - uint64 count = 4; - - // The total sum of recorded values since start_time. Optional since some - // systems don't expose this. If count is zero then this field must be zero. - double sum = 5; - - // Represents the value at a given quantile of a distribution. - // - // To record Min and Max values following conventions are used: - // - 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 ValueAtQuantile { - // The quantile of a distribution. Must be in the interval - // [0.0, 1.0]. - double quantile = 1; - - // The value at the given quantile of a distribution. - double value = 2; - } - - // 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; - - // (Optional) List of exemplars collected from - // measurements that were used to form the data point - repeated Exemplar exemplars = 7; -}