Merge pull request #63 from prometheus/sparsehistogram
Merge sparsehistogram branch into master
diff --git a/README.md b/README.md
index e100975..61552be 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,6 @@
+_(If you are reading this because you are interested in Prometheus's native
+histograms, pay special attention to the last paragraph below.)_
+
# Deprecation note
This repository used to contain the [protocol
@@ -32,3 +35,10 @@
Check out the [OpenMetrics project](https://openmetrics.io/) for the future of
the data model and exposition format used by Prometheus and others.
+
+Note, though, that in an ironic twist of fate, the protobuf-based exposition
+format got revived to ease the implementation of experimental support for
+native histograms in Prometheus. Therefore, starting with v2.40.0, the
+Prometheus server is again capable of ingesting the protobuf-based exposition
+format (if the respective feature flag is enabled). Eventually, native
+histogram support will be added in some form to OpenMetrics, too.
diff --git a/go/metrics.pb.go b/go/metrics.pb.go
index a255337..35904ea 100644
--- a/go/metrics.pb.go
+++ b/go/metrics.pb.go
@@ -24,11 +24,18 @@
type MetricType int32
const (
- MetricType_COUNTER MetricType = 0
- MetricType_GAUGE MetricType = 1
- MetricType_SUMMARY MetricType = 2
- MetricType_UNTYPED MetricType = 3
+ // COUNTER must use the Metric field "counter".
+ MetricType_COUNTER MetricType = 0
+ // GAUGE must use the Metric field "gauge".
+ MetricType_GAUGE MetricType = 1
+ // SUMMARY must use the Metric field "summary".
+ MetricType_SUMMARY MetricType = 2
+ // UNTYPED must use the Metric field "untyped".
+ MetricType_UNTYPED MetricType = 3
+ // HISTOGRAM must use the Metric field "histogram".
MetricType_HISTOGRAM MetricType = 4
+ // GAUGE_HISTOGRAM must use the Metric field "histogram".
+ MetricType_GAUGE_HISTOGRAM MetricType = 5
)
var MetricType_name = map[int32]string{
@@ -37,14 +44,16 @@
2: "SUMMARY",
3: "UNTYPED",
4: "HISTOGRAM",
+ 5: "GAUGE_HISTOGRAM",
}
var MetricType_value = map[string]int32{
- "COUNTER": 0,
- "GAUGE": 1,
- "SUMMARY": 2,
- "UNTYPED": 3,
- "HISTOGRAM": 4,
+ "COUNTER": 0,
+ "GAUGE": 1,
+ "SUMMARY": 2,
+ "UNTYPED": 3,
+ "HISTOGRAM": 4,
+ "GAUGE_HISTOGRAM": 5,
}
func (x MetricType) Enum() *MetricType {
@@ -345,9 +354,34 @@
}
type Histogram struct {
- SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count,json=sampleCount" json:"sample_count,omitempty"`
- SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum,json=sampleSum" json:"sample_sum,omitempty"`
- Bucket []*Bucket `protobuf:"bytes,3,rep,name=bucket" json:"bucket,omitempty"`
+ SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count,json=sampleCount" json:"sample_count,omitempty"`
+ SampleCountFloat *float64 `protobuf:"fixed64,4,opt,name=sample_count_float,json=sampleCountFloat" json:"sample_count_float,omitempty"`
+ SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum,json=sampleSum" json:"sample_sum,omitempty"`
+ // Buckets for the conventional histogram.
+ Bucket []*Bucket `protobuf:"bytes,3,rep,name=bucket" json:"bucket,omitempty"`
+ // schema defines the bucket schema. Currently, valid numbers are -4 <= n <= 8.
+ // They are all for base-2 bucket schemas, where 1 is a bucket boundary in each case, and
+ // then each power of two is divided into 2^n logarithmic buckets.
+ // Or in other words, each bucket boundary is the previous boundary times 2^(2^-n).
+ // In the future, more bucket schemas may be added using numbers < -4 or > 8.
+ Schema *int32 `protobuf:"zigzag32,5,opt,name=schema" json:"schema,omitempty"`
+ ZeroThreshold *float64 `protobuf:"fixed64,6,opt,name=zero_threshold,json=zeroThreshold" json:"zero_threshold,omitempty"`
+ ZeroCount *uint64 `protobuf:"varint,7,opt,name=zero_count,json=zeroCount" json:"zero_count,omitempty"`
+ ZeroCountFloat *float64 `protobuf:"fixed64,8,opt,name=zero_count_float,json=zeroCountFloat" json:"zero_count_float,omitempty"`
+ // Negative buckets for the native histogram.
+ NegativeSpan []*BucketSpan `protobuf:"bytes,9,rep,name=negative_span,json=negativeSpan" json:"negative_span,omitempty"`
+ // Use either "negative_delta" or "negative_count", the former for
+ // regular histograms with integer counts, the latter for float
+ // histograms.
+ NegativeDelta []int64 `protobuf:"zigzag64,10,rep,name=negative_delta,json=negativeDelta" json:"negative_delta,omitempty"`
+ NegativeCount []float64 `protobuf:"fixed64,11,rep,name=negative_count,json=negativeCount" json:"negative_count,omitempty"`
+ // Positive buckets for the native histogram.
+ PositiveSpan []*BucketSpan `protobuf:"bytes,12,rep,name=positive_span,json=positiveSpan" json:"positive_span,omitempty"`
+ // Use either "positive_delta" or "positive_count", the former for
+ // regular histograms with integer counts, the latter for float
+ // histograms.
+ PositiveDelta []int64 `protobuf:"zigzag64,13,rep,name=positive_delta,json=positiveDelta" json:"positive_delta,omitempty"`
+ PositiveCount []float64 `protobuf:"fixed64,14,rep,name=positive_count,json=positiveCount" json:"positive_count,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
@@ -385,6 +419,13 @@
return 0
}
+func (m *Histogram) GetSampleCountFloat() float64 {
+ if m != nil && m.SampleCountFloat != nil {
+ return *m.SampleCountFloat
+ }
+ return 0
+}
+
func (m *Histogram) GetSampleSum() float64 {
if m != nil && m.SampleSum != nil {
return *m.SampleSum
@@ -399,8 +440,81 @@
return nil
}
+func (m *Histogram) GetSchema() int32 {
+ if m != nil && m.Schema != nil {
+ return *m.Schema
+ }
+ return 0
+}
+
+func (m *Histogram) GetZeroThreshold() float64 {
+ if m != nil && m.ZeroThreshold != nil {
+ return *m.ZeroThreshold
+ }
+ return 0
+}
+
+func (m *Histogram) GetZeroCount() uint64 {
+ if m != nil && m.ZeroCount != nil {
+ return *m.ZeroCount
+ }
+ return 0
+}
+
+func (m *Histogram) GetZeroCountFloat() float64 {
+ if m != nil && m.ZeroCountFloat != nil {
+ return *m.ZeroCountFloat
+ }
+ return 0
+}
+
+func (m *Histogram) GetNegativeSpan() []*BucketSpan {
+ if m != nil {
+ return m.NegativeSpan
+ }
+ return nil
+}
+
+func (m *Histogram) GetNegativeDelta() []int64 {
+ if m != nil {
+ return m.NegativeDelta
+ }
+ return nil
+}
+
+func (m *Histogram) GetNegativeCount() []float64 {
+ if m != nil {
+ return m.NegativeCount
+ }
+ return nil
+}
+
+func (m *Histogram) GetPositiveSpan() []*BucketSpan {
+ if m != nil {
+ return m.PositiveSpan
+ }
+ return nil
+}
+
+func (m *Histogram) GetPositiveDelta() []int64 {
+ if m != nil {
+ return m.PositiveDelta
+ }
+ return nil
+}
+
+func (m *Histogram) GetPositiveCount() []float64 {
+ if m != nil {
+ return m.PositiveCount
+ }
+ return nil
+}
+
+// A Bucket of a conventional histogram, each of which is treated as
+// an individual counter-like time series by Prometheus.
type Bucket struct {
CumulativeCount *uint64 `protobuf:"varint,1,opt,name=cumulative_count,json=cumulativeCount" json:"cumulative_count,omitempty"`
+ CumulativeCountFloat *float64 `protobuf:"fixed64,4,opt,name=cumulative_count_float,json=cumulativeCountFloat" json:"cumulative_count_float,omitempty"`
UpperBound *float64 `protobuf:"fixed64,2,opt,name=upper_bound,json=upperBound" json:"upper_bound,omitempty"`
Exemplar *Exemplar `protobuf:"bytes,3,opt,name=exemplar" json:"exemplar,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
@@ -440,6 +554,13 @@
return 0
}
+func (m *Bucket) GetCumulativeCountFloat() float64 {
+ if m != nil && m.CumulativeCountFloat != nil {
+ return *m.CumulativeCountFloat
+ }
+ return 0
+}
+
func (m *Bucket) GetUpperBound() float64 {
if m != nil && m.UpperBound != nil {
return *m.UpperBound
@@ -454,6 +575,59 @@
return nil
}
+// A BucketSpan defines a number of consecutive buckets in a native
+// histogram with their offset. Logically, it would be more
+// straightforward to include the bucket counts in the Span. However,
+// the protobuf representation is more compact in the way the data is
+// structured here (with all the buckets in a single array separate
+// from the Spans).
+type BucketSpan struct {
+ Offset *int32 `protobuf:"zigzag32,1,opt,name=offset" json:"offset,omitempty"`
+ Length *uint32 `protobuf:"varint,2,opt,name=length" json:"length,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *BucketSpan) Reset() { *m = BucketSpan{} }
+func (m *BucketSpan) String() string { return proto.CompactTextString(m) }
+func (*BucketSpan) ProtoMessage() {}
+func (*BucketSpan) Descriptor() ([]byte, []int) {
+ return fileDescriptor_d1e5ddb18987a258, []int{8}
+}
+
+func (m *BucketSpan) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_BucketSpan.Unmarshal(m, b)
+}
+func (m *BucketSpan) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_BucketSpan.Marshal(b, m, deterministic)
+}
+func (m *BucketSpan) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_BucketSpan.Merge(m, src)
+}
+func (m *BucketSpan) XXX_Size() int {
+ return xxx_messageInfo_BucketSpan.Size(m)
+}
+func (m *BucketSpan) XXX_DiscardUnknown() {
+ xxx_messageInfo_BucketSpan.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_BucketSpan proto.InternalMessageInfo
+
+func (m *BucketSpan) GetOffset() int32 {
+ if m != nil && m.Offset != nil {
+ return *m.Offset
+ }
+ return 0
+}
+
+func (m *BucketSpan) GetLength() uint32 {
+ if m != nil && m.Length != nil {
+ return *m.Length
+ }
+ return 0
+}
+
type Exemplar struct {
Label []*LabelPair `protobuf:"bytes,1,rep,name=label" json:"label,omitempty"`
Value *float64 `protobuf:"fixed64,2,opt,name=value" json:"value,omitempty"`
@@ -467,7 +641,7 @@
func (m *Exemplar) String() string { return proto.CompactTextString(m) }
func (*Exemplar) ProtoMessage() {}
func (*Exemplar) Descriptor() ([]byte, []int) {
- return fileDescriptor_d1e5ddb18987a258, []int{8}
+ return fileDescriptor_d1e5ddb18987a258, []int{9}
}
func (m *Exemplar) XXX_Unmarshal(b []byte) error {
@@ -526,7 +700,7 @@
func (m *Metric) String() string { return proto.CompactTextString(m) }
func (*Metric) ProtoMessage() {}
func (*Metric) Descriptor() ([]byte, []int) {
- return fileDescriptor_d1e5ddb18987a258, []int{9}
+ return fileDescriptor_d1e5ddb18987a258, []int{10}
}
func (m *Metric) XXX_Unmarshal(b []byte) error {
@@ -610,7 +784,7 @@
func (m *MetricFamily) String() string { return proto.CompactTextString(m) }
func (*MetricFamily) ProtoMessage() {}
func (*MetricFamily) Descriptor() ([]byte, []int) {
- return fileDescriptor_d1e5ddb18987a258, []int{10}
+ return fileDescriptor_d1e5ddb18987a258, []int{11}
}
func (m *MetricFamily) XXX_Unmarshal(b []byte) error {
@@ -669,6 +843,7 @@
proto.RegisterType((*Untyped)(nil), "io.prometheus.client.Untyped")
proto.RegisterType((*Histogram)(nil), "io.prometheus.client.Histogram")
proto.RegisterType((*Bucket)(nil), "io.prometheus.client.Bucket")
+ proto.RegisterType((*BucketSpan)(nil), "io.prometheus.client.BucketSpan")
proto.RegisterType((*Exemplar)(nil), "io.prometheus.client.Exemplar")
proto.RegisterType((*Metric)(nil), "io.prometheus.client.Metric")
proto.RegisterType((*MetricFamily)(nil), "io.prometheus.client.MetricFamily")
@@ -679,47 +854,61 @@
}
var fileDescriptor_d1e5ddb18987a258 = []byte{
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+ 0xc1, 0xce, 0x05, 0x86, 0xc6, 0x3f, 0x18, 0x3f, 0x3c, 0x88, 0x62, 0xb1, 0x2d, 0x57, 0xc1, 0x9a,
+ 0xb3, 0x7f, 0xff, 0x45, 0x09, 0x19, 0xdf, 0xd0, 0x64, 0x12, 0xf1, 0xaf, 0x62, 0x1e, 0xd6, 0xab,
+ 0xa1, 0x5e, 0xfd, 0x27, 0x00, 0x00, 0xff, 0xff, 0x16, 0x77, 0x81, 0x98, 0xd7, 0x08, 0x00, 0x00,
}
diff --git a/io/prometheus/client/metrics.proto b/io/prometheus/client/metrics.proto
index c9546f1..778ebdc 100644
--- a/io/prometheus/client/metrics.proto
+++ b/io/prometheus/client/metrics.proto
@@ -25,11 +25,18 @@
}
enum MetricType {
- COUNTER = 0;
- GAUGE = 1;
- SUMMARY = 2;
- UNTYPED = 3;
- HISTOGRAM = 4;
+ // COUNTER must use the Metric field "counter".
+ COUNTER = 0;
+ // GAUGE must use the Metric field "gauge".
+ GAUGE = 1;
+ // SUMMARY must use the Metric field "summary".
+ SUMMARY = 2;
+ // UNTYPED must use the Metric field "untyped".
+ UNTYPED = 3;
+ // HISTOGRAM must use the Metric field "histogram".
+ HISTOGRAM = 4;
+ // GAUGE_HISTOGRAM must use the Metric field "histogram".
+ GAUGE_HISTOGRAM = 5;
}
message Gauge {
@@ -57,15 +64,60 @@
}
message Histogram {
- optional uint64 sample_count = 1;
- optional double sample_sum = 2;
- repeated Bucket bucket = 3; // Ordered in increasing order of upper_bound, +Inf bucket is optional.
+ optional uint64 sample_count = 1;
+ optional double sample_count_float = 4; // Overrides sample_count if > 0.
+ optional double sample_sum = 2;
+ // Buckets for the conventional histogram.
+ repeated Bucket bucket = 3; // Ordered in increasing order of upper_bound, +Inf bucket is optional.
+
+ // Everything below here is for native histograms (also known as sparse histograms).
+ // Native histograms are an experimental feature without stability guarantees.
+
+ // schema defines the bucket schema. Currently, valid numbers are -4 <= n <= 8.
+ // They are all for base-2 bucket schemas, where 1 is a bucket boundary in each case, and
+ // then each power of two is divided into 2^n logarithmic buckets.
+ // Or in other words, each bucket boundary is the previous boundary times 2^(2^-n).
+ // In the future, more bucket schemas may be added using numbers < -4 or > 8.
+ optional sint32 schema = 5;
+ optional double zero_threshold = 6; // Breadth of the zero bucket.
+ optional uint64 zero_count = 7; // Count in zero bucket.
+ optional double zero_count_float = 8; // Overrides sb_zero_count if > 0.
+
+ // Negative buckets for the native histogram.
+ repeated BucketSpan negative_span = 9;
+ // Use either "negative_delta" or "negative_count", the former for
+ // regular histograms with integer counts, the latter for float
+ // histograms.
+ repeated sint64 negative_delta = 10; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
+ repeated double negative_count = 11; // Absolute count of each bucket.
+
+ // Positive buckets for the native histogram.
+ repeated BucketSpan positive_span = 12;
+ // Use either "positive_delta" or "positive_count", the former for
+ // regular histograms with integer counts, the latter for float
+ // histograms.
+ repeated sint64 positive_delta = 13; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
+ repeated double positive_count = 14; // Absolute count of each bucket.
}
+// A Bucket of a conventional histogram, each of which is treated as
+// an individual counter-like time series by Prometheus.
message Bucket {
- optional uint64 cumulative_count = 1; // Cumulative in increasing order.
- optional double upper_bound = 2; // Inclusive.
- optional Exemplar exemplar = 3;
+ optional uint64 cumulative_count = 1; // Cumulative in increasing order.
+ optional double cumulative_count_float = 4; // Overrides cumulative_count if > 0.
+ optional double upper_bound = 2; // Inclusive.
+ optional Exemplar exemplar = 3;
+}
+
+// A BucketSpan defines a number of consecutive buckets in a native
+// histogram with their offset. Logically, it would be more
+// straightforward to include the bucket counts in the Span. However,
+// the protobuf representation is more compact in the way the data is
+// structured here (with all the buckets in a single array separate
+// from the Spans).
+message BucketSpan {
+ optional sint32 offset = 1; // Gap to previous span, or starting point for 1st span (which can be negative).
+ optional uint32 length = 2; // Length of consecutive buckets.
}
message Exemplar {