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Add SummaryDataPoint support to Metrics proto (opentelemetry/opentele…
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…metry-specification#1146)

* Add IntSummary and DoubleSummary to data
* Add IntSummaryDataPoint and DoubleSummaryDataPoint
* Comments
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gcacace committed Oct 28, 2020
1 parent 59c488b commit e5304dc
Showing 1 changed file with 141 additions and 5 deletions.
146 changes: 141 additions & 5 deletions opentelemetry/proto/metrics/v1/metrics.proto
Original file line number Diff line number Diff line change
Expand Up @@ -61,11 +61,11 @@ message InstrumentationLibraryMetrics {
// +------------+
// |name |
// |description |
// |unit | +---------------------------+
// |data |---> |Gauge, Sum, Histogram, ... |
// +------------+ +---------------------------+
// |unit | +------------------------------------+
// |data |---> |Gauge, Sum, Histogram, Summary, ... |
// +------------+ +------------------------------------+
//
// Data [One of Gauge, Sum, Histogram, ...]
// Data [One of Gauge, Sum, Histogram, Summary, ...]
// +-----------+
// |... | // Metadata about the Data.
// |points |--+
Expand Down Expand Up @@ -142,6 +142,8 @@ message Metric {
DoubleSum double_sum = 7;
IntHistogram int_histogram = 8;
DoubleHistogram double_histogram = 9;
IntSummary int_summary = 10;
DoubleSummary double_summary = 11;
}
}

Expand Down Expand Up @@ -217,6 +219,22 @@ message DoubleHistogram {
AggregationTemporality aggregation_temporality = 2;
}

message IntSummary {
repeated IntSummaryDataPoint data_points = 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;
}

message DoubleSummary {
repeated DoubleSummaryDataPoint data_points = 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;
}

// AggregationTemporality defines how a metric aggregator reports aggregated
// values. It describes how those values relate to the time interval over
// which they are aggregated.
Expand Down Expand Up @@ -250,7 +268,7 @@ enum AggregationTemporality {
// t_0+2 with a value of 2.
AGGREGATION_TEMPORALITY_DELTA = 1;

// CUMULATIVE is an AggregationTemporality for a metic aggregator which
// CUMULATIVE is an AggregationTemporality for a metric aggregator which
// reports changes since a fixed start time. This means that current values
// of a CUMULATIVE metric depend on all previous measurements since the
// start time. Because of this, the sender is required to retain this state
Expand Down Expand Up @@ -508,6 +526,124 @@ message DoubleHistogramDataPoint {
repeated DoubleExemplar exemplars = 8;
}

// SummaryDataPoint is a single data point in a timeseries that describes the
// time-varying values of a Summary metric.
message IntSummaryDataPoint {
// 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 data 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;

// count is the number of values in the population. Must be non-negative.
fixed64 count = 4;

// sum of the values in the population. If count is zero then this field
// must be zero.
sfixed64 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.
sfixed64 value = 2;
}

// (Optional) 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 IntExemplar exemplars = 7;
}

// SummaryDataPoint is a single data point in a timeseries that describes the
// time-varying values of a Summary metric.
message DoubleSummaryDataPoint {
// 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 data 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;

// count is the number of values in the population. Must be non-negative.
fixed64 count = 4;

// sum of the values in the population. 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;
}

// (Optional) 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 DoubleExemplar exemplars = 7;
}

// A representation of an exemplar, which is a sample input int measurement.
// Exemplars also hold information about the environment when the measurement
// was recorded, for example the span and trace ID of the active span when the
Expand Down

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