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@ -180,19 +180,6 @@ message DistributionValue { |
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// If count is zero then this field must be zero. |
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double sum_of_squared_deviation = 3; |
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// The range of the population values. |
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message Range { |
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// The minimum of the population values. |
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double min = 1; |
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// The maximum of the population values. |
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double max = 2; |
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} |
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// If specified, contains the range of the population values. The field |
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// must not be present if the count is zero. |
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Range range = 4; |
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// A Distribution may optionally contain a histogram of the values in the |
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// population. The bucket boundaries for that histogram are described by |
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// bucket_bounds. This defines size(bucket_bounds) + 1 (= N) |
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@ -214,7 +201,7 @@ message DistributionValue { |
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// |
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// Don't change bucket boundaries within a timeseries if your backend |
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// doesn't support this. |
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repeated double bucket_bounds = 5; |
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repeated double bucket_bounds = 4; |
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message Bucket { |
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// The number of values in each bucket of the histogram, as described in |
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@ -225,7 +212,7 @@ message DistributionValue { |
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// If the distribution does not have a histogram, then omit this field. |
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// If there is a histogram, then the sum of the values in the Bucket counts |
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// must equal the value in the count field of the distribution. |
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repeated Bucket buckets = 6; |
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repeated Bucket buckets = 5; |
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// Exemplars are example points that may be used to annotate aggregated |
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// Distribution values. They are metadata that gives information about a |
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@ -243,5 +230,5 @@ message DistributionValue { |
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} |
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// If the distribution does not have a histogram, then omit this field. |
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repeated Exemplar exemplars = 7; |
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repeated Exemplar exemplars = 6; |
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} |
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