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@ -54,6 +54,65 @@ message Exemplar {
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int64 timestamp = 3; |
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} |
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// A native histogram, also known as a sparse histogram. |
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// Original design doc: |
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// https://docs.google.com/document/d/1cLNv3aufPZb3fNfaJgdaRBZsInZKKIHo9E6HinJVbpM/edit |
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// The appendix of this design doc also explains the concept of float |
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// histograms. This Histogram message can represent both, the usual |
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// integer histogram as well as a float histogram. |
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message Histogram { |
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enum ResetHint { |
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UNKNOWN = 0; // Need to test for a counter reset explicitly. |
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YES = 1; // This is the 1st histogram after a counter reset. |
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NO = 2; // There was no counter reset between this and the previous Histogram. |
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GAUGE = 3; // This is a gauge histogram where counter resets don't happen. |
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} |
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oneof count { // Count of observations in the histogram. |
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uint64 count_int = 1; |
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double count_float = 2; |
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} |
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double sum = 3; // Sum of observations in the histogram. |
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// The schema defines the bucket schema. Currently, valid numbers |
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// are -4 <= n <= 8. They are all for base-2 bucket schemas, where 1 |
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// is a bucket boundary in each case, and then each power of two is |
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// divided into 2^n logarithmic buckets. Or in other words, each |
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// bucket boundary is the previous boundary times 2^(2^-n). In the |
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// future, more bucket schemas may be added using numbers < -4 or > |
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// 8. |
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sint32 schema = 4; |
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double zero_threshold = 5; // Breadth of the zero bucket. |
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oneof zero_count { // Count in zero bucket. |
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uint64 zero_count_int = 6; |
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double zero_count_float = 7; |
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} |
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Buckets negative_buckets = 8; |
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Buckets positive_buckets = 9; |
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ResetHint reset_hint = 10; |
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// timestamp is in ms format, see model/timestamp/timestamp.go for |
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// conversion from time.Time to Prometheus timestamp. |
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int64 timestamp = 11; |
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} |
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// Sparse buckets. |
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message Buckets { |
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// A Span is a given number of consecutive buckets at a given |
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// offset. Logically, it would be more straightforward to include |
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// the bucket counts in the Span. However, the protobuf |
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// representation is more compact in the way the data is structured |
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// here (with all the buckets in a single array separate from the |
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// Spans). |
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message Span { |
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sint32 offset = 1; // Gap to previous span, or starting point for 1st span (which can be negative). |
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uint32 length = 2; // Length of consecutive buckets. |
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} |
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repeated Span span = 1; |
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// Only one of "delta" or "count" may be used, the former for regular |
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// histograms with integer counts, the latter for float histograms. |
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repeated sint64 delta = 2; // Count delta of each bucket compared to previous one (or to zero for 1st bucket). |
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repeated double count = 3; // Absolute count of each bucket. |
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} |
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// TimeSeries represents samples and labels for a single time series. |
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message TimeSeries { |
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// For a timeseries to be valid, and for the samples and exemplars |
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@ -61,6 +120,7 @@ message TimeSeries {
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repeated Label labels = 1 [(gogoproto.nullable) = false]; |
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repeated Sample samples = 2 [(gogoproto.nullable) = false]; |
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repeated Exemplar exemplars = 3 [(gogoproto.nullable) = false]; |
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repeated Histogram histograms = 4 [(gogoproto.nullable) = false]; |
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} |
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message Label { |
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@ -103,8 +163,9 @@ message Chunk {
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// We require this to match chunkenc.Encoding. |
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enum Encoding { |
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UNKNOWN = 0; |
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XOR = 1; |
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UNKNOWN = 0; |
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XOR = 1; |
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HISTOGRAM = 2; |
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} |
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Encoding type = 3; |
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bytes data = 4; |
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