167 lines
6.8 KiB
Protocol Buffer
167 lines
6.8 KiB
Protocol Buffer
// Copyright 2021 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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syntax = "proto3";
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package google.api.servicecontrol.v1;
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import "google/api/distribution.proto";
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option cc_enable_arenas = true;
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option csharp_namespace = "Google.Cloud.ServiceControl.V1";
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option go_package = "cloud.google.com/go/servicecontrol/apiv1/servicecontrolpb;servicecontrolpb";
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option java_multiple_files = true;
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option java_outer_classname = "DistributionProto";
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option java_package = "com.google.api.servicecontrol.v1";
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option php_namespace = "Google\\Cloud\\ServiceControl\\V1";
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option ruby_package = "Google::Cloud::ServiceControl::V1";
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// Distribution represents a frequency distribution of double-valued sample
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// points. It contains the size of the population of sample points plus
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// additional optional information:
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//
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// * the arithmetic mean of the samples
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// * the minimum and maximum of the samples
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// * the sum-squared-deviation of the samples, used to compute variance
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// * a histogram of the values of the sample points
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message Distribution {
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// Describing buckets with constant width.
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message LinearBuckets {
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// The number of finite buckets. With the underflow and overflow buckets,
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// the total number of buckets is `num_finite_buckets` + 2.
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// See comments on `bucket_options` for details.
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int32 num_finite_buckets = 1;
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// The i'th linear bucket covers the interval
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// [offset + (i-1) * width, offset + i * width)
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// where i ranges from 1 to num_finite_buckets, inclusive.
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// Must be strictly positive.
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double width = 2;
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// The i'th linear bucket covers the interval
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// [offset + (i-1) * width, offset + i * width)
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// where i ranges from 1 to num_finite_buckets, inclusive.
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double offset = 3;
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}
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// Describing buckets with exponentially growing width.
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message ExponentialBuckets {
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// The number of finite buckets. With the underflow and overflow buckets,
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// the total number of buckets is `num_finite_buckets` + 2.
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// See comments on `bucket_options` for details.
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int32 num_finite_buckets = 1;
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// The i'th exponential bucket covers the interval
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// [scale * growth_factor^(i-1), scale * growth_factor^i)
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// where i ranges from 1 to num_finite_buckets inclusive.
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// Must be larger than 1.0.
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double growth_factor = 2;
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// The i'th exponential bucket covers the interval
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// [scale * growth_factor^(i-1), scale * growth_factor^i)
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// where i ranges from 1 to num_finite_buckets inclusive.
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// Must be > 0.
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double scale = 3;
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}
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// Describing buckets with arbitrary user-provided width.
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message ExplicitBuckets {
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// 'bound' is a list of strictly increasing boundaries between
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// buckets. Note that a list of length N-1 defines N buckets because
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// of fenceposting. See comments on `bucket_options` for details.
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//
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// The i'th finite bucket covers the interval
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// [bound[i-1], bound[i])
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// where i ranges from 1 to bound_size() - 1. Note that there are no
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// finite buckets at all if 'bound' only contains a single element; in
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// that special case the single bound defines the boundary between the
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// underflow and overflow buckets.
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//
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// bucket number lower bound upper bound
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// i == 0 (underflow) -inf bound[i]
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// 0 < i < bound_size() bound[i-1] bound[i]
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// i == bound_size() (overflow) bound[i-1] +inf
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repeated double bounds = 1;
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}
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// The total number of samples in the distribution. Must be >= 0.
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int64 count = 1;
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// The arithmetic mean of the samples in the distribution. If `count` is
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// zero then this field must be zero.
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double mean = 2;
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// The minimum of the population of values. Ignored if `count` is zero.
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double minimum = 3;
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// The maximum of the population of values. Ignored if `count` is zero.
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double maximum = 4;
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// The sum of squared deviations from the mean:
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// Sum[i=1..count]((x_i - mean)^2)
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// where each x_i is a sample values. If `count` is zero then this field
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// must be zero, otherwise validation of the request fails.
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double sum_of_squared_deviation = 5;
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// The number of samples in each histogram bucket. `bucket_counts` are
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// optional. If present, they must sum to the `count` value.
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//
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// The buckets are defined below in `bucket_option`. There are N buckets.
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// `bucket_counts[0]` is the number of samples in the underflow bucket.
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// `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples
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// in each of the finite buckets. And `bucket_counts[N] is the number
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// of samples in the overflow bucket. See the comments of `bucket_option`
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// below for more details.
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//
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// Any suffix of trailing zeros may be omitted.
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repeated int64 bucket_counts = 6;
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// Defines the buckets in the histogram. `bucket_option` and `bucket_counts`
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// must be both set, or both unset.
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//
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// Buckets are numbered in the range of [0, N], with a total of N+1 buckets.
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// There must be at least two buckets (a single-bucket histogram gives
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// no information that isn't already provided by `count`).
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//
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// The first bucket is the underflow bucket which has a lower bound
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// of -inf. The last bucket is the overflow bucket which has an
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// upper bound of +inf. All other buckets (if any) are called "finite"
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// buckets because they have finite lower and upper bounds. As described
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// below, there are three ways to define the finite buckets.
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//
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// (1) Buckets with constant width.
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// (2) Buckets with exponentially growing widths.
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// (3) Buckets with arbitrary user-provided widths.
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//
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// In all cases, the buckets cover the entire real number line (-inf,
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// +inf). Bucket upper bounds are exclusive and lower bounds are
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// inclusive. The upper bound of the underflow bucket is equal to the
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// lower bound of the smallest finite bucket; the lower bound of the
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// overflow bucket is equal to the upper bound of the largest finite
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// bucket.
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oneof bucket_option {
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// Buckets with constant width.
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LinearBuckets linear_buckets = 7;
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// Buckets with exponentially growing width.
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ExponentialBuckets exponential_buckets = 8;
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// Buckets with arbitrary user-provided width.
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ExplicitBuckets explicit_buckets = 9;
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}
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// Example points. Must be in increasing order of `value` field.
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repeated google.api.Distribution.Exemplar exemplars = 10;
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}
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