@@ -180,19 +180,6 @@ message DistributionValue {
180180 // If count is zero then this field must be zero.
181181 double sum_of_squared_deviation = 3 ;
182182
183- // The range of the population values.
184- message Range {
185- // The minimum of the population values.
186- double min = 1 ;
187-
188- // The maximum of the population values.
189- double max = 2 ;
190- }
191-
192- // If specified, contains the range of the population values. The field
193- // must not be present if the count is zero.
194- Range range = 4 ;
195-
196183 // A Distribution may optionally contain a histogram of the values in the
197184 // population. The bucket boundaries for that histogram are described by
198185 // bucket_bounds. This defines size(bucket_bounds) + 1 (= N)
@@ -214,7 +201,7 @@ message DistributionValue {
214201 //
215202 // Don't change bucket boundaries within a timeseries if your backend
216203 // doesn't support this.
217- repeated double bucket_bounds = 5 ;
204+ repeated double bucket_bounds = 4 ;
218205
219206 message Bucket {
220207 // The number of values in each bucket of the histogram, as described in
@@ -225,7 +212,7 @@ message DistributionValue {
225212 // If the distribution does not have a histogram, then omit this field.
226213 // If there is a histogram, then the sum of the values in the Bucket counts
227214 // must equal the value in the count field of the distribution.
228- repeated Bucket buckets = 6 ;
215+ repeated Bucket buckets = 5 ;
229216
230217 // Exemplars are example points that may be used to annotate aggregated
231218 // Distribution values. They are metadata that gives information about a
@@ -243,5 +230,5 @@ message DistributionValue {
243230 }
244231
245232 // If the distribution does not have a histogram, then omit this field.
246- repeated Exemplar exemplars = 7 ;
233+ repeated Exemplar exemplars = 6 ;
247234}
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