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Initial draft for a metrics, an API for exporters. (#53)
* Initial draft for a metrics API that can be used by the stats API as well as other metric systems. * Fix comments, move metrics under stats/metrics * Fix more comments. Rename MetricPoint to Metric.
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Bogdan Drutu
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Apr 30, 2018
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# Copyright 2018, OpenCensus Authors | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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package(default_visibility = ["//visibility:public"]) | ||
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proto_library( | ||
name = "metrics_proto", | ||
srcs = ["metrics.proto"], | ||
deps = [ | ||
"@com_google_protobuf//:timestamp_proto", | ||
], | ||
) | ||
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cc_proto_library( | ||
name = "metrics_proto_cc", | ||
deps = [":metrics_proto"], | ||
) | ||
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java_proto_library( | ||
name = "metrics_proto_java", | ||
deps = [":metrics_proto"], | ||
) |
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// Copyright 2018, OpenCensus Authors | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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syntax = "proto3"; | ||
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package opencensus.proto.stats.metrics; | ||
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import "google/protobuf/timestamp.proto"; | ||
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option go_package = "metricsproto"; | ||
option java_multiple_files = true; | ||
option java_package = "io.opencensus.proto.metrics"; | ||
option java_outer_classname = "MetricsProto"; | ||
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// A collection of Metrics. | ||
message MetricSet { | ||
// Each Metric has one or more timeseries. | ||
repeated Metric metrics = 1; | ||
} | ||
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// Defines a Metric which has one or more timeseries. | ||
message Metric { | ||
// The description of the metric. | ||
MetricDescriptor metric_descriptor = 1; | ||
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// One or more timeseries for a single metric, where each timeseries has | ||
// one or more points. | ||
repeated TimeSeries timeseries = 2; | ||
} | ||
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// Defines a metric type and its schema. | ||
message MetricDescriptor { | ||
// TODO: Add restrictions for characters that can be used. | ||
// The metric type, including its DNS name prefix. It must be unique. | ||
string name = 1; | ||
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// A detailed description of the metric, which can be used in documentation. | ||
string description = 2; | ||
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// The unit in which the metric value is reported. Follows the format | ||
// described by http://unitsofmeasure.org/ucum.html. | ||
string unit = 3; | ||
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// The kind of metric. It describes how the data is reported. | ||
enum Type { | ||
// Do not use this default value. | ||
UNSPECIFIED = 0; | ||
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// An instantaneous measurement of a value. | ||
GAUGE = 1; | ||
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// A value accumulated over a time interval. Cumulative measurements in a | ||
// time series should have the same start time and increasing end times, | ||
// until an event resets the cumulative value to zero and sets a new | ||
// start time for the following points. | ||
CUMULATIVE = 2; | ||
} | ||
Type type = 4; | ||
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// TODO: Consider to add LabelInfo{key, description} if needed. | ||
} | ||
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// A collection of data points that describes the time-varying values | ||
// of a metric. | ||
message TimeSeries { | ||
// TODO: Add restrictions for characters that can be used for keys and values. | ||
// The set of label values that uniquely identify this timeseries. Apply to all | ||
// points. | ||
map<string, string> label = 1; | ||
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// The data points of this timeseries. Point type MUST match the MetricDescriptor.type, so for | ||
// a CUMULATIVE type only cumulative_points are present and for a GAUGE type only gauge_points | ||
// are present. | ||
repeated GaugePoint gauge_points = 2; | ||
repeated CumulativePoint cumulative_points = 3; | ||
} | ||
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// An instantaneous measurement of a value. | ||
message GaugePoint { | ||
// The moment when this gauge point was recorded. | ||
google.protobuf.Timestamp timestamp = 1; // required | ||
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// The actual point value. | ||
oneof value { | ||
// A 64-bit integer. | ||
int64 int64_value = 2; | ||
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// A 64-bit double-precision floating-point number. | ||
double double_value = 3; | ||
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// TODO: Add support for Summary type. | ||
} | ||
} | ||
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// Measurements accumulated over a time interval. | ||
message CumulativePoint { | ||
// This must be the same until an event resets the cumulative value to zero | ||
// and sets a new start for the following points. | ||
google.protobuf.Timestamp start_time = 1; // required | ||
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// The end timestamp of the accumulated measurement. | ||
google.protobuf.Timestamp end_time = 2; // required | ||
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// The actual point value. | ||
oneof value { | ||
// A 64-bit integer. | ||
int64 int64_value = 3; | ||
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// A 64-bit double-precision floating-point number. | ||
double double_value = 4; | ||
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// A distribution value. | ||
DistributionValue distribution_value = 5; | ||
} | ||
} | ||
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// Distribution contains summary statistics for a population of values. It | ||
// optionally contains a histogram representing the distribution of those | ||
// values across a set of buckets. | ||
message DistributionValue { | ||
// The number of values in the population. Must be non-negative. This value | ||
// must equal the sum of the values in bucket_counts if a histogram is | ||
// provided. | ||
int64 count = 1; | ||
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// The arithmetic mean of the values in the population. If count is zero | ||
// then this field must be zero. | ||
double mean = 2; | ||
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// The sum of squared deviations from the mean of the values in the | ||
// population. For values x_i this is: | ||
// | ||
// Sum[i=1..n]((x_i - mean)^2) | ||
// | ||
// Knuth, "The Art of Computer Programming", Vol. 2, page 323, 3rd edition | ||
// describes Welford's method for accumulating this sum in one pass. | ||
// | ||
// If count is zero then this field must be zero. | ||
double sum_of_squared_deviation = 3; | ||
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// The range of the population values. | ||
message Range { | ||
// The minimum of the population values. | ||
double min = 1; | ||
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// The maximum of the population values. | ||
double max = 2; | ||
} | ||
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// If specified, contains the range of the population values. The field | ||
// must not be present if the count is zero. | ||
Range range = 4; | ||
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// A Distribution may optionally contain a histogram of the values in the | ||
// population. The bucket boundaries for that histogram are described by | ||
// bucket_bounds. This defines size(bucket_bounds) + 1 (= N) | ||
// buckets. The boundaries for bucket index i are: | ||
// | ||
// (-infinity, bucket_bounds[i]) for i == 0 | ||
// [bucket_bounds[i-1], bucket_bounds[i]) for 0 < i < N-2 | ||
// [bucket_bounds[i-1], +infinity) for i == N-1 | ||
// | ||
// i.e. an underflow bucket (number 0), zero or more finite buckets (1 | ||
// through N - 2, and an overflow bucket (N - 1), with inclusive lower | ||
// bounds and exclusive upper bounds. | ||
// | ||
// If bucket_bounds has no elements (zero size), then there is no | ||
// histogram associated with the Distribution. If bucket_bounds has only | ||
// one element, there are no finite buckets, and that single element is the | ||
// common boundary of the overflow and underflow buckets. The values must | ||
// be monotonically increasing. | ||
repeated double bucket_bounds = 5; | ||
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message Bucket { | ||
// The number of values in each bucket of the histogram, as described in | ||
// bucket_bounds. | ||
int64 count = 1; | ||
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// TODO: Add support for exemplars. | ||
} | ||
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// If the distribution does not have a histogram, then omit this field. | ||
// If there is a histogram, then the sum of the values in the Bucket counts | ||
// must equal the value in the count field of the distribution. | ||
repeated Bucket buckets = 6; | ||
} |
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