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Create a oneof for Histogram buckets; add ExplicitBuckets; deprecate DoubleHistogram #272

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159 changes: 128 additions & 31 deletions opentelemetry/proto/metrics/v1/metrics.proto
Original file line number Diff line number Diff line change
Expand Up @@ -141,14 +141,17 @@ message Metric {
DoubleGauge double_gauge = 5;
IntSum int_sum = 6;
DoubleSum double_sum = 7;
// IntHistogram is deprecated and will be removed soon.

// IntHistogram and DoubleHistogram are DEPRECATED and will be removed soon.
// 1. Old senders and receivers that are not aware of this change will
// continue using the `int_histogram` field.
// continue using the `int_histogram` and `double_histogram` field.
// 2. New senders, which are aware of this change MUST send only `histogram`.
// 3. New receivers, which are aware of this change MUST convert this into
// `histogram` by simply converting all int64 values into float.
// `histogram` by converting point values.
IntHistogram int_histogram = 8 [deprecated = true];
Histogram histogram = 9;
DoubleHistogram double_histogram = 9 [deprecated = true];

Histogram histogram = 12;
Summary summary = 11;
}
}
Expand Down Expand Up @@ -435,9 +438,6 @@ message IntHistogramDataPoint {
// Otherwise all option fields and "buckets" field must be omitted in which case the
// distribution of values in the histogram is unknown and only the total count and sum are known.

// explicit_bounds is the only supported bucket option currently.
// TODO: Add more bucket options.

// explicit_bounds specifies buckets with explicitly defined bounds for values.
//
// This defines size(explicit_bounds) + 1 (= N) buckets. The boundaries for
Expand Down Expand Up @@ -497,42 +497,50 @@ message HistogramDataPoint {
// buckets if a histogram is provided.
double sum = 5;

// bucket_counts is an optional field contains the count values of histogram
// for each bucket.
//
// The sum of the bucket_counts must equal the value in the count field.
// buckets is one of several defined bucketing strategies
//
// The number of elements in bucket_counts array must be by one greater than
// the number of elements in explicit_bounds array.
repeated fixed64 bucket_counts = 6;
// If this field is omitted, there is an implied single bucket
// spanning (-Inf,+Inf) containing the whole population.
oneof buckets {
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// ExplicitBuckets support encoding arbitrary boundaries and
// counts.
ExplicitBuckets explicit = 9;
}

// A histogram may optionally contain the distribution of the values in the population.
// In that case one of the option fields below and "buckets" field both must be defined.
// Otherwise all option fields and "buckets" field must be omitted in which case the
// distribution of values in the histogram is unknown and only the total count and sum are known.
// (Optional) List of exemplars collected from
// measurements that were used to form the data point
repeated DoubleExemplar exemplars = 8;
}

// explicit_bounds is the only supported bucket option currently.
// TODO: Add more bucket options.
// ExplicitBuckets is a standard way of representing arbitrary
// histogram data using explicit boundaries. It combines an
// array of N-1 boundaries and an array of N counts.
message ExplicitBuckets {
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// counts is an optional field contains the count values of histogram
// for each bucket.
//
// The sum of the counts must equal the value in the HistogramDataPoint's
// count field.
//
// The number of elements in counts array must be one greater than
// the number of elements in boundaries array.
repeated fixed64 counts = 6;

// explicit_bounds specifies buckets with explicitly defined bounds for values.
// boundaries specifies buckets with explicitly defined boundaries.
//
// This defines size(explicit_bounds) + 1 (= N) buckets. The boundaries for
// This defines N = size(boundaries) + 1 buckets. The boundaries for
// bucket at index i are:
//
// (-infinity, explicit_bounds[i]] for i == 0
// (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < N-1
// (explicit_bounds[i], +infinity) for i == N-1
// (-infinity, boundaries[i]] for i == 0
// (boundaries[i-1], boundaries[i]] for 0 < i < N-1
// (boundaries[i], +infinity) for i == N-1
//
// The values in the explicit_bounds array must be strictly increasing.
// The values in the boundaries array must be strictly increasing.
//
// Histogram buckets are inclusive of their upper boundary, except the last
// bucket where the boundary is at infinity. This format is intentionally
// compatible with the OpenMetrics histogram definition.
repeated double explicit_bounds = 7;

// (Optional) List of exemplars collected from
// measurements that were used to form the data point
repeated DoubleExemplar exemplars = 8;
repeated double boundaries = 7;
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}

// SummaryDataPoint is a single data point in a timeseries that describes the
Expand Down Expand Up @@ -649,3 +657,92 @@ message DoubleExemplar {
// or if the trace is not sampled.
bytes trace_id = 5;
}

// DoubleHistogram is DEPRECATED.
// Represents the type of a metric that is calculated by aggregating as a
// Histogram of all reported double measurements over a time interval.
message DoubleHistogram {
option deprecated = true;

repeated DoubleHistogramDataPoint 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;
}

// DoubleHistogramDataPoint is DEPRECATED.
// Represents a single data point in a timeseries that describes the
// time-varying values of a Histogram of double values. A Histogram contains
// summary statistics for a population of values, it may optionally contain the
// distribution of those values across a set of buckets.
message DoubleHistogramDataPoint {
option deprecated = true;

// 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. This
// value must be equal to the sum of the "count" fields in buckets if a
// histogram is provided.
fixed64 count = 4;

// sum of the values in the population. If count is zero then this field
// must be zero. This value must be equal to the sum of the "sum" fields in
// buckets if a histogram is provided.
double sum = 5;

// bucket_counts is an optional field contains the count values of histogram
// for each bucket.
//
// The sum of the bucket_counts must equal the value in the count field.
//
// The number of elements in bucket_counts array must be by one greater than
// the number of elements in explicit_bounds array.
repeated fixed64 bucket_counts = 6;

// A histogram may optionally contain the distribution of the values in the population.
// In that case one of the option fields below and "buckets" field both must be defined.
// Otherwise all option fields and "buckets" field must be omitted in which case the
// distribution of values in the histogram is unknown and only the total count and sum are known.

// explicit_bounds specifies buckets with explicitly defined bounds for values.
//
// This defines size(explicit_bounds) + 1 (= N) buckets. The boundaries for
// bucket at index i are:
//
// (-infinity, explicit_bounds[i]] for i == 0
// (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < N-1
// (explicit_bounds[i], +infinity) for i == N-1
//
// The values in the explicit_bounds array must be strictly increasing.
//
// Histogram buckets are inclusive of their upper boundary, except the last
// bucket where the boundary is at infinity. This format is intentionally
// compatible with the OpenMetrics histogram definition.
repeated double explicit_bounds = 7;

// (Optional) List of exemplars collected from
// measurements that were used to form the data point
repeated DoubleExemplar exemplars = 8;
}