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prompb: Add histograms to remote write/read protobufs
Signed-off-by: beorn7 <beorn@grafana.com>
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parent
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@ -34,8 +34,10 @@ const (
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// Content-Type: "application/x-protobuf"
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// Content-Encoding: "snappy"
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ReadRequest_SAMPLES ReadRequest_ResponseType = 0
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// Server will stream a delimited ChunkedReadResponse message that contains XOR encoded chunks for a single series.
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// Each message is following varint size and fixed size bigendian uint32 for CRC32 Castagnoli checksum.
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// Server will stream a delimited ChunkedReadResponse message that
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// contains XOR or HISTOGRAM(!) encoded chunks for a single series.
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// Each message is following varint size and fixed size bigendian
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// uint32 for CRC32 Castagnoli checksum.
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//
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// Response headers:
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// Content-Type: "application/x-streamed-protobuf; proto=prometheus.ChunkedReadResponse"
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@ -39,8 +39,10 @@ message ReadRequest {
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// Content-Type: "application/x-protobuf"
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// Content-Encoding: "snappy"
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SAMPLES = 0;
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// Server will stream a delimited ChunkedReadResponse message that contains XOR encoded chunks for a single series.
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// Each message is following varint size and fixed size bigendian uint32 for CRC32 Castagnoli checksum.
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// Server will stream a delimited ChunkedReadResponse message that
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// contains XOR or HISTOGRAM(!) encoded chunks for a single series.
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// Each message is following varint size and fixed size bigendian
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// uint32 for CRC32 Castagnoli checksum.
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//
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// Response headers:
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// Content-Type: "application/x-streamed-protobuf; proto=prometheus.ChunkedReadResponse"
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1508
prompb/types.pb.go
1508
prompb/types.pb.go
File diff suppressed because it is too large
Load diff
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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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@ -105,6 +165,7 @@ message Chunk {
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enum Encoding {
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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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