diff --git a/vendor.mod b/vendor.mod index dc5cb1dd2b..d8e3b48231 100644 --- a/vendor.mod +++ b/vendor.mod @@ -69,7 +69,7 @@ require ( github.com/opencontainers/selinux v1.10.2 github.com/pelletier/go-toml v1.9.4 github.com/pkg/errors v0.9.1 - github.com/prometheus/client_golang v1.13.0 + github.com/prometheus/client_golang v1.14.0 github.com/rootless-containers/rootlesskit v1.1.0 github.com/sirupsen/logrus v1.9.0 github.com/spf13/cobra v1.6.1 @@ -135,7 +135,7 @@ require ( github.com/mitchellh/hashstructure/v2 v2.0.2 // indirect github.com/phayes/permbits v0.0.0-20190612203442-39d7c581d2ee // indirect github.com/philhofer/fwd v1.0.0 // indirect - github.com/prometheus/client_model v0.2.0 // indirect + github.com/prometheus/client_model v0.3.0 // indirect github.com/prometheus/common v0.37.0 // indirect github.com/prometheus/procfs v0.8.0 // indirect github.com/rexray/gocsi v1.2.2 // indirect diff --git a/vendor.sum b/vendor.sum index 80da5bff8d..a10246ec8f 100644 --- a/vendor.sum +++ b/vendor.sum @@ -936,14 +936,15 @@ github.com/prometheus/client_golang v1.7.1/go.mod h1:PY5Wy2awLA44sXw4AOSfFBetzPP github.com/prometheus/client_golang v1.11.0/go.mod h1:Z6t4BnS23TR94PD6BsDNk8yVqroYurpAkEiz0P2BEV0= github.com/prometheus/client_golang v1.11.1/go.mod h1:Z6t4BnS23TR94PD6BsDNk8yVqroYurpAkEiz0P2BEV0= github.com/prometheus/client_golang v1.12.1/go.mod h1:3Z9XVyYiZYEO+YQWt3RD2R3jrbd179Rt297l4aS6nDY= -github.com/prometheus/client_golang v1.13.0 h1:b71QUfeo5M8gq2+evJdTPfZhYMAU0uKPkyPJ7TPsloU= -github.com/prometheus/client_golang v1.13.0/go.mod h1:vTeo+zgvILHsnnj/39Ou/1fPN5nJFOEMgftOUOmlvYQ= +github.com/prometheus/client_golang v1.14.0 h1:nJdhIvne2eSX/XRAFV9PcvFFRbrjbcTUj0VP62TMhnw= +github.com/prometheus/client_golang v1.14.0/go.mod h1:8vpkKitgIVNcqrRBWh1C4TIUQgYNtG/XQE4E/Zae36Y= github.com/prometheus/client_model v0.0.0-20171117100541-99fa1f4be8e5/go.mod h1:MbSGuTsp3dbXC40dX6PRTWyKYBIrTGTE9sqQNg2J8bo= github.com/prometheus/client_model v0.0.0-20180712105110-5c3871d89910/go.mod h1:MbSGuTsp3dbXC40dX6PRTWyKYBIrTGTE9sqQNg2J8bo= github.com/prometheus/client_model v0.0.0-20190129233127-fd36f4220a90/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA= github.com/prometheus/client_model v0.0.0-20190812154241-14fe0d1b01d4/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA= -github.com/prometheus/client_model v0.2.0 h1:uq5h0d+GuxiXLJLNABMgp2qUWDPiLvgCzz2dUR+/W/M= github.com/prometheus/client_model v0.2.0/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA= +github.com/prometheus/client_model v0.3.0 h1:UBgGFHqYdG/TPFD1B1ogZywDqEkwp3fBMvqdiQ7Xew4= +github.com/prometheus/client_model v0.3.0/go.mod h1:LDGWKZIo7rky3hgvBe+caln+Dr3dPggB5dvjtD7w9+w= github.com/prometheus/common v0.0.0-20180110214958-89604d197083/go.mod h1:daVV7qP5qjZbuso7PdcryaAu0sAZbrN9i7WWcTMWvro= github.com/prometheus/common v0.0.0-20181113130724-41aa239b4cce/go.mod h1:daVV7qP5qjZbuso7PdcryaAu0sAZbrN9i7WWcTMWvro= github.com/prometheus/common v0.4.0/go.mod h1:TNfzLD0ON7rHzMJeJkieUDPYmFC7Snx/y86RQel1bk4= diff --git a/vendor/github.com/prometheus/client_golang/prometheus/counter.go b/vendor/github.com/prometheus/client_golang/prometheus/counter.go index de30de6daa..a912b75a05 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/counter.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/counter.go @@ -140,12 +140,13 @@ func (c *counter) get() float64 { } func (c *counter) Write(out *dto.Metric) error { - val := c.get() - + // Read the Exemplar first and the value second. This is to avoid a race condition + // where users see an exemplar for a not-yet-existing observation. var exemplar *dto.Exemplar if e := c.exemplar.Load(); e != nil { exemplar = e.(*dto.Exemplar) } + val := c.get() return populateMetric(CounterValue, val, c.labelPairs, exemplar, out) } @@ -245,7 +246,8 @@ func (v *CounterVec) GetMetricWith(labels Labels) (Counter, error) { // WithLabelValues works as GetMetricWithLabelValues, but panics where // GetMetricWithLabelValues would have returned an error. Not returning an // error allows shortcuts like -// myVec.WithLabelValues("404", "GET").Add(42) +// +// myVec.WithLabelValues("404", "GET").Add(42) func (v *CounterVec) WithLabelValues(lvs ...string) Counter { c, err := v.GetMetricWithLabelValues(lvs...) if err != nil { @@ -256,7 +258,8 @@ func (v *CounterVec) WithLabelValues(lvs ...string) Counter { // With works as GetMetricWith, but panics where GetMetricWithLabels would have // returned an error. Not returning an error allows shortcuts like -// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42) +// +// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42) func (v *CounterVec) With(labels Labels) Counter { c, err := v.GetMetricWith(labels) if err != nil { diff --git a/vendor/github.com/prometheus/client_golang/prometheus/doc.go b/vendor/github.com/prometheus/client_golang/prometheus/doc.go index 98450125d6..811072cbd5 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/doc.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/doc.go @@ -21,55 +21,66 @@ // All exported functions and methods are safe to be used concurrently unless // specified otherwise. // -// A Basic Example +// # A Basic Example // // As a starting point, a very basic usage example: // -// package main +// package main // -// import ( -// "log" -// "net/http" +// import ( +// "log" +// "net/http" // -// "github.com/prometheus/client_golang/prometheus" -// "github.com/prometheus/client_golang/prometheus/promhttp" -// ) +// "github.com/prometheus/client_golang/prometheus" +// "github.com/prometheus/client_golang/prometheus/promhttp" +// ) // -// var ( -// cpuTemp = prometheus.NewGauge(prometheus.GaugeOpts{ -// Name: "cpu_temperature_celsius", -// Help: "Current temperature of the CPU.", -// }) -// hdFailures = prometheus.NewCounterVec( -// prometheus.CounterOpts{ -// Name: "hd_errors_total", -// Help: "Number of hard-disk errors.", -// }, -// []string{"device"}, -// ) -// ) +// type metrics struct { +// cpuTemp prometheus.Gauge +// hdFailures *prometheus.CounterVec +// } // -// func init() { -// // Metrics have to be registered to be exposed: -// prometheus.MustRegister(cpuTemp) -// prometheus.MustRegister(hdFailures) -// } +// func NewMetrics(reg prometheus.Registerer) *metrics { +// m := &metrics{ +// cpuTemp: prometheus.NewGauge(prometheus.GaugeOpts{ +// Name: "cpu_temperature_celsius", +// Help: "Current temperature of the CPU.", +// }), +// hdFailures: prometheus.NewCounterVec( +// prometheus.CounterOpts{ +// Name: "hd_errors_total", +// Help: "Number of hard-disk errors.", +// }, +// []string{"device"}, +// ), +// } +// reg.MustRegister(m.cpuTemp) +// reg.MustRegister(m.hdFailures) +// return m +// } // -// func main() { -// cpuTemp.Set(65.3) -// hdFailures.With(prometheus.Labels{"device":"/dev/sda"}).Inc() +// func main() { +// // Create a non-global registry. +// reg := prometheus.NewRegistry() // -// // The Handler function provides a default handler to expose metrics -// // via an HTTP server. "/metrics" is the usual endpoint for that. -// http.Handle("/metrics", promhttp.Handler()) -// log.Fatal(http.ListenAndServe(":8080", nil)) -// } +// // Create new metrics and register them using the custom registry. +// m := NewMetrics(reg) +// // Set values for the new created metrics. +// m.cpuTemp.Set(65.3) +// m.hdFailures.With(prometheus.Labels{"device":"/dev/sda"}).Inc() // +// // Expose metrics and custom registry via an HTTP server +// // using the HandleFor function. "/metrics" is the usual endpoint for that. +// http.Handle("/metrics", promhttp.HandlerFor(reg, promhttp.HandlerOpts{Registry: reg})) +// log.Fatal(http.ListenAndServe(":8080", nil)) +// } // // This is a complete program that exports two metrics, a Gauge and a Counter, // the latter with a label attached to turn it into a (one-dimensional) vector. +// It register the metrics using a custom registry and exposes them via an HTTP server +// on the /metrics endpoint. // -// Metrics +// # Metrics // // The number of exported identifiers in this package might appear a bit // overwhelming. However, in addition to the basic plumbing shown in the example @@ -100,7 +111,7 @@ // To create instances of Metrics and their vector versions, you need a suitable // …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts, or HistogramOpts. // -// Custom Collectors and constant Metrics +// # Custom Collectors and constant Metrics // // While you could create your own implementations of Metric, most likely you // will only ever implement the Collector interface on your own. At a first @@ -141,7 +152,7 @@ // a metric, GaugeFunc, CounterFunc, or UntypedFunc might be interesting // shortcuts. // -// Advanced Uses of the Registry +// # Advanced Uses of the Registry // // While MustRegister is the by far most common way of registering a Collector, // sometimes you might want to handle the errors the registration might cause. @@ -176,23 +187,23 @@ // NewProcessCollector). With a custom registry, you are in control and decide // yourself about the Collectors to register. // -// HTTP Exposition +// # HTTP Exposition // // The Registry implements the Gatherer interface. The caller of the Gather // method can then expose the gathered metrics in some way. Usually, the metrics // are served via HTTP on the /metrics endpoint. That's happening in the example // above. The tools to expose metrics via HTTP are in the promhttp sub-package. // -// Pushing to the Pushgateway +// # Pushing to the Pushgateway // // Function for pushing to the Pushgateway can be found in the push sub-package. // -// Graphite Bridge +// # Graphite Bridge // // Functions and examples to push metrics from a Gatherer to Graphite can be // found in the graphite sub-package. // -// Other Means of Exposition +// # Other Means of Exposition // // More ways of exposing metrics can easily be added by following the approaches // of the existing implementations. diff --git a/vendor/github.com/prometheus/client_golang/prometheus/gauge.go b/vendor/github.com/prometheus/client_golang/prometheus/gauge.go index bd0733d6a7..21271a5bb4 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/gauge.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/gauge.go @@ -210,7 +210,8 @@ func (v *GaugeVec) GetMetricWith(labels Labels) (Gauge, error) { // WithLabelValues works as GetMetricWithLabelValues, but panics where // GetMetricWithLabelValues would have returned an error. Not returning an // error allows shortcuts like -// myVec.WithLabelValues("404", "GET").Add(42) +// +// myVec.WithLabelValues("404", "GET").Add(42) func (v *GaugeVec) WithLabelValues(lvs ...string) Gauge { g, err := v.GetMetricWithLabelValues(lvs...) if err != nil { @@ -221,7 +222,8 @@ func (v *GaugeVec) WithLabelValues(lvs ...string) Gauge { // With works as GetMetricWith, but panics where GetMetricWithLabels would have // returned an error. Not returning an error allows shortcuts like -// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42) +// +// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42) func (v *GaugeVec) With(labels Labels) Gauge { g, err := v.GetMetricWith(labels) if err != nil { diff --git a/vendor/github.com/prometheus/client_golang/prometheus/histogram.go b/vendor/github.com/prometheus/client_golang/prometheus/histogram.go index 0d47fecdc2..4c873a01c3 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/histogram.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/histogram.go @@ -28,19 +28,216 @@ import ( dto "github.com/prometheus/client_model/go" ) +// nativeHistogramBounds for the frac of observed values. Only relevant for +// schema > 0. The position in the slice is the schema. (0 is never used, just +// here for convenience of using the schema directly as the index.) +// +// TODO(beorn7): Currently, we do a binary search into these slices. There are +// ways to turn it into a small number of simple array lookups. It probably only +// matters for schema 5 and beyond, but should be investigated. See this comment +// as a starting point: +// https://github.com/open-telemetry/opentelemetry-specification/issues/1776#issuecomment-870164310 +var nativeHistogramBounds = [][]float64{ + // Schema "0": + {0.5}, + // Schema 1: + {0.5, 0.7071067811865475}, + // Schema 2: + {0.5, 0.5946035575013605, 0.7071067811865475, 0.8408964152537144}, + // Schema 3: + { + 0.5, 0.5452538663326288, 0.5946035575013605, 0.6484197773255048, + 0.7071067811865475, 0.7711054127039704, 0.8408964152537144, 0.9170040432046711, + }, + // Schema 4: + { + 0.5, 0.5221368912137069, 0.5452538663326288, 0.5693943173783458, + 0.5946035575013605, 0.620928906036742, 0.6484197773255048, 0.6771277734684463, + 0.7071067811865475, 0.7384130729697496, 0.7711054127039704, 0.805245165974627, + 0.8408964152537144, 0.8781260801866495, 0.9170040432046711, 0.9576032806985735, + }, + // Schema 5: + { + 0.5, 0.5109485743270583, 0.5221368912137069, 0.5335702003384117, + 0.5452538663326288, 0.5571933712979462, 0.5693943173783458, 0.5818624293887887, + 0.5946035575013605, 0.6076236799902344, 0.620928906036742, 0.6345254785958666, + 0.6484197773255048, 0.6626183215798706, 0.6771277734684463, 0.6919549409819159, + 0.7071067811865475, 0.7225904034885232, 0.7384130729697496, 0.7545822137967112, + 0.7711054127039704, 0.7879904225539431, 0.805245165974627, 0.8228777390769823, + 0.8408964152537144, 0.8593096490612387, 0.8781260801866495, 0.8973545375015533, + 0.9170040432046711, 0.9370838170551498, 0.9576032806985735, 0.9785720620876999, + }, + // Schema 6: + { + 0.5, 0.5054446430258502, 0.5109485743270583, 0.5165124395106142, + 0.5221368912137069, 0.5278225891802786, 0.5335702003384117, 0.5393803988785598, + 0.5452538663326288, 0.5511912916539204, 0.5571933712979462, 0.5632608093041209, + 0.5693943173783458, 0.5755946149764913, 0.5818624293887887, 0.5881984958251406, + 0.5946035575013605, 0.6010783657263515, 0.6076236799902344, 0.6142402680534349, + 0.620928906036742, 0.6276903785123455, 0.6345254785958666, 0.6414350080393891, + 0.6484197773255048, 0.6554806057623822, 0.6626183215798706, 0.6698337620266515, + 0.6771277734684463, 0.6845012114872953, 0.6919549409819159, 0.6994898362691555, + 0.7071067811865475, 0.7148066691959849, 0.7225904034885232, 0.7304588970903234, + 0.7384130729697496, 0.7464538641456323, 0.7545822137967112, 0.762799075372269, + 0.7711054127039704, 0.7795022001189185, 0.7879904225539431, 0.7965710756711334, + 0.805245165974627, 0.8140137109286738, 0.8228777390769823, 0.8318382901633681, + 0.8408964152537144, 0.8500531768592616, 0.8593096490612387, 0.8686669176368529, + 0.8781260801866495, 0.8876882462632604, 0.8973545375015533, 0.9071260877501991, + 0.9170040432046711, 0.9269895625416926, 0.9370838170551498, 0.9472879907934827, + 0.9576032806985735, 0.9680308967461471, 0.9785720620876999, 0.9892280131939752, + }, + // Schema 7: + { + 0.5, 0.5027149505564014, 0.5054446430258502, 0.5081891574554764, + 0.5109485743270583, 0.5137229745593818, 0.5165124395106142, 0.5193170509806894, + 0.5221368912137069, 0.5249720429003435, 0.5278225891802786, 0.5306886136446309, + 0.5335702003384117, 0.5364674337629877, 0.5393803988785598, 0.5423091811066545, + 0.5452538663326288, 0.5482145409081883, 0.5511912916539204, 0.5541842058618393, + 0.5571933712979462, 0.5602188762048033, 0.5632608093041209, 0.5663192597993595, + 0.5693943173783458, 0.572486072215902, 0.5755946149764913, 0.5787200368168754, + 0.5818624293887887, 0.585021884841625, 0.5881984958251406, 0.5913923554921704, + 0.5946035575013605, 0.5978321960199137, 0.6010783657263515, 0.6043421618132907, + 0.6076236799902344, 0.6109230164863786, 0.6142402680534349, 0.6175755319684665, + 0.620928906036742, 0.6243004885946023, 0.6276903785123455, 0.6310986751971253, + 0.6345254785958666, 0.637970889198196, 0.6414350080393891, 0.6449179367033329, + 0.6484197773255048, 0.6519406325959679, 0.6554806057623822, 0.659039800633032, + 0.6626183215798706, 0.6662162735415805, 0.6698337620266515, 0.6734708931164728, + 0.6771277734684463, 0.6808045103191123, 0.6845012114872953, 0.688217985377265, + 0.6919549409819159, 0.6957121878859629, 0.6994898362691555, 0.7032879969095076, + 0.7071067811865475, 0.7109463010845827, 0.7148066691959849, 0.718687998724491, + 0.7225904034885232, 0.7265139979245261, 0.7304588970903234, 0.7344252166684908, + 0.7384130729697496, 0.7424225829363761, 0.7464538641456323, 0.7505070348132126, + 0.7545822137967112, 0.7586795205991071, 0.762799075372269, 0.7669409989204777, + 0.7711054127039704, 0.7752924388424999, 0.7795022001189185, 0.7837348199827764, + 0.7879904225539431, 0.7922691326262467, 0.7965710756711334, 0.8008963778413465, + 0.805245165974627, 0.8096175675974316, 0.8140137109286738, 0.8184337248834821, + 0.8228777390769823, 0.8273458838280969, 0.8318382901633681, 0.8363550898207981, + 0.8408964152537144, 0.8454623996346523, 0.8500531768592616, 0.8546688815502312, + 0.8593096490612387, 0.8639756154809185, 0.8686669176368529, 0.8733836930995842, + 0.8781260801866495, 0.8828942179666361, 0.8876882462632604, 0.8925083056594671, + 0.8973545375015533, 0.9022270839033115, 0.9071260877501991, 0.9120516927035263, + 0.9170040432046711, 0.9219832844793128, 0.9269895625416926, 0.9320230241988943, + 0.9370838170551498, 0.9421720895161669, 0.9472879907934827, 0.9524316709088368, + 0.9576032806985735, 0.9628029718180622, 0.9680308967461471, 0.9732872087896164, + 0.9785720620876999, 0.9838856116165875, 0.9892280131939752, 0.9945994234836328, + }, + // Schema 8: + { + 0.5, 0.5013556375251013, 0.5027149505564014, 0.5040779490592088, + 0.5054446430258502, 0.5068150424757447, 0.5081891574554764, 0.509566998038869, + 0.5109485743270583, 0.5123338964485679, 0.5137229745593818, 0.5151158188430205, + 0.5165124395106142, 0.5179128468009786, 0.5193170509806894, 0.520725062344158, + 0.5221368912137069, 0.5235525479396449, 0.5249720429003435, 0.526395386502313, + 0.5278225891802786, 0.5292536613972564, 0.5306886136446309, 0.5321274564422321, + 0.5335702003384117, 0.5350168559101208, 0.5364674337629877, 0.5379219445313954, + 0.5393803988785598, 0.5408428074966075, 0.5423091811066545, 0.5437795304588847, + 0.5452538663326288, 0.5467321995364429, 0.5482145409081883, 0.549700901315111, + 0.5511912916539204, 0.5526857228508706, 0.5541842058618393, 0.5556867516724088, + 0.5571933712979462, 0.5587040757836845, 0.5602188762048033, 0.5617377836665098, + 0.5632608093041209, 0.564787964283144, 0.5663192597993595, 0.5678547070789026, + 0.5693943173783458, 0.5709381019847808, 0.572486072215902, 0.5740382394200894, + 0.5755946149764913, 0.5771552102951081, 0.5787200368168754, 0.5802891060137493, + 0.5818624293887887, 0.5834400184762408, 0.585021884841625, 0.5866080400818185, + 0.5881984958251406, 0.5897932637314379, 0.5913923554921704, 0.5929957828304968, + 0.5946035575013605, 0.5962156912915756, 0.5978321960199137, 0.5994530835371903, + 0.6010783657263515, 0.6027080545025619, 0.6043421618132907, 0.6059806996384005, + 0.6076236799902344, 0.6092711149137041, 0.6109230164863786, 0.6125793968185725, + 0.6142402680534349, 0.6159056423670379, 0.6175755319684665, 0.6192499490999082, + 0.620928906036742, 0.622612415087629, 0.6243004885946023, 0.6259931389331581, + 0.6276903785123455, 0.6293922197748583, 0.6310986751971253, 0.6328097572894031, + 0.6345254785958666, 0.6362458516947014, 0.637970889198196, 0.6397006037528346, + 0.6414350080393891, 0.6431741147730128, 0.6449179367033329, 0.6466664866145447, + 0.6484197773255048, 0.6501778216898253, 0.6519406325959679, 0.6537082229673385, + 0.6554806057623822, 0.6572577939746774, 0.659039800633032, 0.6608266388015788, + 0.6626183215798706, 0.6644148621029772, 0.6662162735415805, 0.6680225691020727, + 0.6698337620266515, 0.6716498655934177, 0.6734708931164728, 0.6752968579460171, + 0.6771277734684463, 0.6789636531064505, 0.6808045103191123, 0.6826503586020058, + 0.6845012114872953, 0.6863570825438342, 0.688217985377265, 0.690083933630119, + 0.6919549409819159, 0.6938310211492645, 0.6957121878859629, 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0.7944171921585818, + 0.7965710756711334, 0.7987307989543135, 0.8008963778413465, 0.8030678282083853, + 0.805245165974627, 0.8074284071024302, 0.8096175675974316, 0.8118126635086642, + 0.8140137109286738, 0.8162207259936375, 0.8184337248834821, 0.820652723822003, + 0.8228777390769823, 0.8251087869603088, 0.8273458838280969, 0.8295890460808079, + 0.8318382901633681, 0.8340936325652911, 0.8363550898207981, 0.8386226785089391, + 0.8408964152537144, 0.8431763167241966, 0.8454623996346523, 0.8477546807446661, + 0.8500531768592616, 0.8523579048290255, 0.8546688815502312, 0.8569861239649629, + 0.8593096490612387, 0.8616394738731368, 0.8639756154809185, 0.8663180910111553, + 0.8686669176368529, 0.871022112577578, 0.8733836930995842, 0.8757516765159389, + 0.8781260801866495, 0.8805069215187917, 0.8828942179666361, 0.8852879870317771, + 0.8876882462632604, 0.890095013257712, 0.8925083056594671, 0.8949281411607002, + 0.8973545375015533, 0.8997875124702672, 0.9022270839033115, 0.9046732696855155, + 0.9071260877501991, 0.909585556079304, 0.9120516927035263, 0.9145245157024483, + 0.9170040432046711, 0.9194902933879467, 0.9219832844793128, 0.9244830347552253, + 0.9269895625416926, 0.92950288621441, 0.9320230241988943, 0.9345499949706191, + 0.9370838170551498, 0.93962450902828, 0.9421720895161669, 0.9447265771954693, + 0.9472879907934827, 0.9498563490882775, 0.9524316709088368, 0.9550139751351947, + 0.9576032806985735, 0.9601996065815236, 0.9628029718180622, 0.9654133954938133, + 0.9680308967461471, 0.9706554947643201, 0.9732872087896164, 0.9759260581154889, + 0.9785720620876999, 0.9812252401044634, 0.9838856116165875, 0.9865531961276168, + 0.9892280131939752, 0.9919100824251095, 0.9945994234836328, 0.9972960560854698, + }, +} + +// The nativeHistogramBounds above can be generated with the code below. +// +// TODO(beorn7): It's tempting to actually use `go generate` to generate the +// code above. However, this could lead to slightly different numbers on +// different architectures. We still need to come to terms if we are fine with +// that, or if we might prefer to specify precise numbers in the standard. +// +// var nativeHistogramBounds [][]float64 = make([][]float64, 9) +// +// func init() { +// // Populate nativeHistogramBounds. +// numBuckets := 1 +// for i := range nativeHistogramBounds { +// bounds := []float64{0.5} +// factor := math.Exp2(math.Exp2(float64(-i))) +// for j := 0; j < numBuckets-1; j++ { +// var bound float64 +// if (j+1)%2 == 0 { +// // Use previously calculated value for increased precision. +// bound = nativeHistogramBounds[i-1][j/2+1] +// } else { +// bound = bounds[j] * factor +// } +// bounds = append(bounds, bound) +// } +// numBuckets *= 2 +// nativeHistogramBounds[i] = bounds +// } +// } + // A Histogram counts individual observations from an event or sample stream in -// configurable buckets. Similar to a summary, it also provides a sum of -// observations and an observation count. +// configurable static buckets (or in dynamic sparse buckets as part of the +// experimental Native Histograms, see below for more details). Similar to a +// Summary, it also provides a sum of observations and an observation count. // // On the Prometheus server, quantiles can be calculated from a Histogram using -// the histogram_quantile function in the query language. +// the histogram_quantile PromQL function. // -// Note that Histograms, in contrast to Summaries, can be aggregated with the -// Prometheus query language (see the documentation for detailed -// procedures). However, Histograms require the user to pre-define suitable -// buckets, and they are in general less accurate. The Observe method of a -// Histogram has a very low performance overhead in comparison with the Observe -// method of a Summary. +// Note that Histograms, in contrast to Summaries, can be aggregated in PromQL +// (see the documentation for detailed procedures). However, Histograms require +// the user to pre-define suitable buckets, and they are in general less +// accurate. (Both problems are addressed by the experimental Native +// Histograms. To use them, configure a NativeHistogramBucketFactor in the +// HistogramOpts. They also require a Prometheus server v2.40+ with the +// corresponding feature flag enabled.) +// +// The Observe method of a Histogram has a very low performance overhead in +// comparison with the Observe method of a Summary. // // To create Histogram instances, use NewHistogram. type Histogram interface { @@ -50,7 +247,8 @@ type Histogram interface { // Observe adds a single observation to the histogram. Observations are // usually positive or zero. Negative observations are accepted but // prevent current versions of Prometheus from properly detecting - // counter resets in the sum of observations. See + // counter resets in the sum of observations. (The experimental Native + // Histograms handle negative observations properly.) See // https://prometheus.io/docs/practices/histograms/#count-and-sum-of-observations // for details. Observe(float64) @@ -64,18 +262,28 @@ const bucketLabel = "le" // tailored to broadly measure the response time (in seconds) of a network // service. Most likely, however, you will be required to define buckets // customized to your use case. -var ( - DefBuckets = []float64{.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10} +var DefBuckets = []float64{.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10} - errBucketLabelNotAllowed = fmt.Errorf( - "%q is not allowed as label name in histograms", bucketLabel, - ) +// DefNativeHistogramZeroThreshold is the default value for +// NativeHistogramZeroThreshold in the HistogramOpts. +// +// The value is 2^-128 (or 0.5*2^-127 in the actual IEEE 754 representation), +// which is a bucket boundary at all possible resolutions. +const DefNativeHistogramZeroThreshold = 2.938735877055719e-39 + +// NativeHistogramZeroThresholdZero can be used as NativeHistogramZeroThreshold +// in the HistogramOpts to create a zero bucket of width zero, i.e. a zero +// bucket that only receives observations of precisely zero. +const NativeHistogramZeroThresholdZero = -1 + +var errBucketLabelNotAllowed = fmt.Errorf( + "%q is not allowed as label name in histograms", bucketLabel, ) -// LinearBuckets creates 'count' buckets, each 'width' wide, where the lowest -// bucket has an upper bound of 'start'. The final +Inf bucket is not counted -// and not included in the returned slice. The returned slice is meant to be -// used for the Buckets field of HistogramOpts. +// LinearBuckets creates 'count' regular buckets, each 'width' wide, where the +// lowest bucket has an upper bound of 'start'. The final +Inf bucket is not +// counted and not included in the returned slice. The returned slice is meant +// to be used for the Buckets field of HistogramOpts. // // The function panics if 'count' is zero or negative. func LinearBuckets(start, width float64, count int) []float64 { @@ -90,11 +298,11 @@ func LinearBuckets(start, width float64, count int) []float64 { return buckets } -// ExponentialBuckets creates 'count' buckets, where the lowest bucket has an -// upper bound of 'start' and each following bucket's upper bound is 'factor' -// times the previous bucket's upper bound. The final +Inf bucket is not counted -// and not included in the returned slice. The returned slice is meant to be -// used for the Buckets field of HistogramOpts. +// ExponentialBuckets creates 'count' regular buckets, where the lowest bucket +// has an upper bound of 'start' and each following bucket's upper bound is +// 'factor' times the previous bucket's upper bound. The final +Inf bucket is +// not counted and not included in the returned slice. The returned slice is +// meant to be used for the Buckets field of HistogramOpts. // // The function panics if 'count' is 0 or negative, if 'start' is 0 or negative, // or if 'factor' is less than or equal 1. @@ -180,8 +388,85 @@ type HistogramOpts struct { // element in the slice is the upper inclusive bound of a bucket. The // values must be sorted in strictly increasing order. There is no need // to add a highest bucket with +Inf bound, it will be added - // implicitly. The default value is DefBuckets. + // implicitly. If Buckets is left as nil or set to a slice of length + // zero, it is replaced by default buckets. The default buckets are + // DefBuckets if no buckets for a native histogram (see below) are used, + // otherwise the default is no buckets. (In other words, if you want to + // use both reguler buckets and buckets for a native histogram, you have + // to define the regular buckets here explicitly.) Buckets []float64 + + // If NativeHistogramBucketFactor is greater than one, so-called sparse + // buckets are used (in addition to the regular buckets, if defined + // above). A Histogram with sparse buckets will be ingested as a Native + // Histogram by a Prometheus server with that feature enabled (requires + // Prometheus v2.40+). Sparse buckets are exponential buckets covering + // the whole float64 range (with the exception of the “zero” bucket, see + // SparseBucketsZeroThreshold below). From any one bucket to the next, + // the width of the bucket grows by a constant + // factor. NativeHistogramBucketFactor provides an upper bound for this + // factor (exception see below). The smaller + // NativeHistogramBucketFactor, the more buckets will be used and thus + // the more costly the histogram will become. A generally good trade-off + // between cost and accuracy is a value of 1.1 (each bucket is at most + // 10% wider than the previous one), which will result in each power of + // two divided into 8 buckets (e.g. there will be 8 buckets between 1 + // and 2, same as between 2 and 4, and 4 and 8, etc.). + // + // Details about the actually used factor: The factor is calculated as + // 2^(2^n), where n is an integer number between (and including) -8 and + // 4. n is chosen so that the resulting factor is the largest that is + // still smaller or equal to NativeHistogramBucketFactor. Note that the + // smallest possible factor is therefore approx. 1.00271 (i.e. 2^(2^-8) + // ). If NativeHistogramBucketFactor is greater than 1 but smaller than + // 2^(2^-8), then the actually used factor is still 2^(2^-8) even though + // it is larger than the provided NativeHistogramBucketFactor. + // + // NOTE: Native Histograms are still an experimental feature. Their + // behavior might still change without a major version + // bump. Subsequently, all NativeHistogram... options here might still + // change their behavior or name (or might completely disappear) without + // a major version bump. + NativeHistogramBucketFactor float64 + // All observations with an absolute value of less or equal + // NativeHistogramZeroThreshold are accumulated into a “zero” + // bucket. For best results, this should be close to a bucket + // boundary. This is usually the case if picking a power of two. If + // NativeHistogramZeroThreshold is left at zero, + // DefSparseBucketsZeroThreshold is used as the threshold. To configure + // a zero bucket with an actual threshold of zero (i.e. only + // observations of precisely zero will go into the zero bucket), set + // NativeHistogramZeroThreshold to the NativeHistogramZeroThresholdZero + // constant (or any negative float value). + NativeHistogramZeroThreshold float64 + + // The remaining fields define a strategy to limit the number of + // populated sparse buckets. If NativeHistogramMaxBucketNumber is left + // at zero, the number of buckets is not limited. (Note that this might + // lead to unbounded memory consumption if the values observed by the + // Histogram are sufficiently wide-spread. In particular, this could be + // used as a DoS attack vector. Where the observed values depend on + // external inputs, it is highly recommended to set a + // NativeHistogramMaxBucketNumber.) Once the set + // NativeHistogramMaxBucketNumber is exceeded, the following strategy is + // enacted: First, if the last reset (or the creation) of the histogram + // is at least NativeHistogramMinResetDuration ago, then the whole + // histogram is reset to its initial state (including regular + // buckets). If less time has passed, or if + // NativeHistogramMinResetDuration is zero, no reset is + // performed. Instead, the zero threshold is increased sufficiently to + // reduce the number of buckets to or below + // NativeHistogramMaxBucketNumber, but not to more than + // NativeHistogramMaxZeroThreshold. Thus, if + // NativeHistogramMaxZeroThreshold is already at or below the current + // zero threshold, nothing happens at this step. After that, if the + // number of buckets still exceeds NativeHistogramMaxBucketNumber, the + // resolution of the histogram is reduced by doubling the width of the + // sparse buckets (up to a growth factor between one bucket to the next + // of 2^(2^4) = 65536, see above). + NativeHistogramMaxBucketNumber uint32 + NativeHistogramMinResetDuration time.Duration + NativeHistogramMaxZeroThreshold float64 } // NewHistogram creates a new Histogram based on the provided HistogramOpts. It @@ -218,16 +503,29 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr } } - if len(opts.Buckets) == 0 { - opts.Buckets = DefBuckets - } - h := &histogram{ - desc: desc, - upperBounds: opts.Buckets, - labelPairs: MakeLabelPairs(desc, labelValues), - counts: [2]*histogramCounts{{}, {}}, - now: time.Now, + desc: desc, + upperBounds: opts.Buckets, + labelPairs: MakeLabelPairs(desc, labelValues), + nativeHistogramMaxBuckets: opts.NativeHistogramMaxBucketNumber, + nativeHistogramMaxZeroThreshold: opts.NativeHistogramMaxZeroThreshold, + nativeHistogramMinResetDuration: opts.NativeHistogramMinResetDuration, + lastResetTime: time.Now(), + now: time.Now, + } + if len(h.upperBounds) == 0 && opts.NativeHistogramBucketFactor <= 1 { + h.upperBounds = DefBuckets + } + if opts.NativeHistogramBucketFactor <= 1 { + h.nativeHistogramSchema = math.MinInt32 // To mark that there are no sparse buckets. + } else { + switch { + case opts.NativeHistogramZeroThreshold > 0: + h.nativeHistogramZeroThreshold = opts.NativeHistogramZeroThreshold + case opts.NativeHistogramZeroThreshold == 0: + h.nativeHistogramZeroThreshold = DefNativeHistogramZeroThreshold + } // Leave h.nativeHistogramZeroThreshold at 0 otherwise. + h.nativeHistogramSchema = pickSchema(opts.NativeHistogramBucketFactor) } for i, upperBound := range h.upperBounds { if i < len(h.upperBounds)-1 { @@ -246,8 +544,16 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr } // Finally we know the final length of h.upperBounds and can make buckets // for both counts as well as exemplars: - h.counts[0].buckets = make([]uint64, len(h.upperBounds)) - h.counts[1].buckets = make([]uint64, len(h.upperBounds)) + h.counts[0] = &histogramCounts{ + buckets: make([]uint64, len(h.upperBounds)), + nativeHistogramZeroThresholdBits: math.Float64bits(h.nativeHistogramZeroThreshold), + nativeHistogramSchema: h.nativeHistogramSchema, + } + h.counts[1] = &histogramCounts{ + buckets: make([]uint64, len(h.upperBounds)), + nativeHistogramZeroThresholdBits: math.Float64bits(h.nativeHistogramZeroThreshold), + nativeHistogramSchema: h.nativeHistogramSchema, + } h.exemplars = make([]atomic.Value, len(h.upperBounds)+1) h.init(h) // Init self-collection. @@ -255,13 +561,98 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr } type histogramCounts struct { + // Order in this struct matters for the alignment required by atomic + // operations, see http://golang.org/pkg/sync/atomic/#pkg-note-BUG + // sumBits contains the bits of the float64 representing the sum of all - // observations. sumBits and count have to go first in the struct to - // guarantee alignment for atomic operations. - // http://golang.org/pkg/sync/atomic/#pkg-note-BUG + // observations. sumBits uint64 count uint64 + + // nativeHistogramZeroBucket counts all (positive and negative) + // observations in the zero bucket (with an absolute value less or equal + // the current threshold, see next field. + nativeHistogramZeroBucket uint64 + // nativeHistogramZeroThresholdBits is the bit pattern of the current + // threshold for the zero bucket. It's initially equal to + // nativeHistogramZeroThreshold but may change according to the bucket + // count limitation strategy. + nativeHistogramZeroThresholdBits uint64 + // nativeHistogramSchema may change over time according to the bucket + // count limitation strategy and therefore has to be saved here. + nativeHistogramSchema int32 + // Number of (positive and negative) sparse buckets. + nativeHistogramBucketsNumber uint32 + + // Regular buckets. buckets []uint64 + + // The sparse buckets for native histograms are implemented with a + // sync.Map for now. A dedicated data structure will likely be more + // efficient. There are separate maps for negative and positive + // observations. The map's value is an *int64, counting observations in + // that bucket. (Note that we don't use uint64 as an int64 won't + // overflow in practice, and working with signed numbers from the + // beginning simplifies the handling of deltas.) The map's key is the + // index of the bucket according to the used + // nativeHistogramSchema. Index 0 is for an upper bound of 1. + nativeHistogramBucketsPositive, nativeHistogramBucketsNegative sync.Map +} + +// observe manages the parts of observe that only affects +// histogramCounts. doSparse is true if sparse buckets should be done, +// too. +func (hc *histogramCounts) observe(v float64, bucket int, doSparse bool) { + if bucket < len(hc.buckets) { + atomic.AddUint64(&hc.buckets[bucket], 1) + } + atomicAddFloat(&hc.sumBits, v) + if doSparse && !math.IsNaN(v) { + var ( + key int + schema = atomic.LoadInt32(&hc.nativeHistogramSchema) + zeroThreshold = math.Float64frombits(atomic.LoadUint64(&hc.nativeHistogramZeroThresholdBits)) + bucketCreated, isInf bool + ) + if math.IsInf(v, 0) { + // Pretend v is MaxFloat64 but later increment key by one. + if math.IsInf(v, +1) { + v = math.MaxFloat64 + } else { + v = -math.MaxFloat64 + } + isInf = true + } + frac, exp := math.Frexp(math.Abs(v)) + if schema > 0 { + bounds := nativeHistogramBounds[schema] + key = sort.SearchFloat64s(bounds, frac) + (exp-1)*len(bounds) + } else { + key = exp + if frac == 0.5 { + key-- + } + div := 1 << -schema + key = (key + div - 1) / div + } + if isInf { + key++ + } + switch { + case v > zeroThreshold: + bucketCreated = addToBucket(&hc.nativeHistogramBucketsPositive, key, 1) + case v < -zeroThreshold: + bucketCreated = addToBucket(&hc.nativeHistogramBucketsNegative, key, 1) + default: + atomic.AddUint64(&hc.nativeHistogramZeroBucket, 1) + } + if bucketCreated { + atomic.AddUint32(&hc.nativeHistogramBucketsNumber, 1) + } + } + // Increment count last as we take it as a signal that the observation + // is complete. + atomic.AddUint64(&hc.count, 1) } type histogram struct { @@ -276,7 +667,7 @@ type histogram struct { // perspective of the histogram) swap the hot–cold under the writeMtx // lock. A cooldown is awaited (while locked) by comparing the number of // observations with the initiation count. Once they match, then the - // last observation on the now cool one has completed. All cool fields must + // last observation on the now cool one has completed. All cold fields must // be merged into the new hot before releasing writeMtx. // // Fields with atomic access first! See alignment constraint: @@ -284,8 +675,10 @@ type histogram struct { countAndHotIdx uint64 selfCollector - desc *Desc - writeMtx sync.Mutex // Only used in the Write method. + desc *Desc + + // Only used in the Write method and for sparse bucket management. + mtx sync.Mutex // Two counts, one is "hot" for lock-free observations, the other is // "cold" for writing out a dto.Metric. It has to be an array of @@ -293,9 +686,15 @@ type histogram struct { // http://golang.org/pkg/sync/atomic/#pkg-note-BUG. counts [2]*histogramCounts - upperBounds []float64 - labelPairs []*dto.LabelPair - exemplars []atomic.Value // One more than buckets (to include +Inf), each a *dto.Exemplar. + upperBounds []float64 + labelPairs []*dto.LabelPair + exemplars []atomic.Value // One more than buckets (to include +Inf), each a *dto.Exemplar. + nativeHistogramSchema int32 // The initial schema. Set to math.MinInt32 if no sparse buckets are used. + nativeHistogramZeroThreshold float64 // The initial zero threshold. + nativeHistogramMaxZeroThreshold float64 + nativeHistogramMaxBuckets uint32 + nativeHistogramMinResetDuration time.Duration + lastResetTime time.Time // Protected by mtx. now func() time.Time // To mock out time.Now() for testing. } @@ -319,8 +718,8 @@ func (h *histogram) Write(out *dto.Metric) error { // the hot path, i.e. Observe is called much more often than Write. The // complication of making Write lock-free isn't worth it, if possible at // all. - h.writeMtx.Lock() - defer h.writeMtx.Unlock() + h.mtx.Lock() + defer h.mtx.Unlock() // Adding 1<<63 switches the hot index (from 0 to 1 or from 1 to 0) // without touching the count bits. See the struct comments for a full @@ -333,16 +732,16 @@ func (h *histogram) Write(out *dto.Metric) error { hotCounts := h.counts[n>>63] coldCounts := h.counts[(^n)>>63] - // Await cooldown. - for count != atomic.LoadUint64(&coldCounts.count) { - runtime.Gosched() // Let observations get work done. - } + waitForCooldown(count, coldCounts) his := &dto.Histogram{ Bucket: make([]*dto.Bucket, len(h.upperBounds)), SampleCount: proto.Uint64(count), SampleSum: proto.Float64(math.Float64frombits(atomic.LoadUint64(&coldCounts.sumBits))), } + out.Histogram = his + out.Label = h.labelPairs + var cumCount uint64 for i, upperBound := range h.upperBounds { cumCount += atomic.LoadUint64(&coldCounts.buckets[i]) @@ -363,25 +762,21 @@ func (h *histogram) Write(out *dto.Metric) error { } his.Bucket = append(his.Bucket, b) } + if h.nativeHistogramSchema > math.MinInt32 { + his.ZeroThreshold = proto.Float64(math.Float64frombits(atomic.LoadUint64(&coldCounts.nativeHistogramZeroThresholdBits))) + his.Schema = proto.Int32(atomic.LoadInt32(&coldCounts.nativeHistogramSchema)) + zeroBucket := atomic.LoadUint64(&coldCounts.nativeHistogramZeroBucket) - out.Histogram = his - out.Label = h.labelPairs + defer func() { + coldCounts.nativeHistogramBucketsPositive.Range(addAndReset(&hotCounts.nativeHistogramBucketsPositive, &hotCounts.nativeHistogramBucketsNumber)) + coldCounts.nativeHistogramBucketsNegative.Range(addAndReset(&hotCounts.nativeHistogramBucketsNegative, &hotCounts.nativeHistogramBucketsNumber)) + }() - // Finally add all the cold counts to the new hot counts and reset the cold counts. - atomic.AddUint64(&hotCounts.count, count) - atomic.StoreUint64(&coldCounts.count, 0) - for { - oldBits := atomic.LoadUint64(&hotCounts.sumBits) - newBits := math.Float64bits(math.Float64frombits(oldBits) + his.GetSampleSum()) - if atomic.CompareAndSwapUint64(&hotCounts.sumBits, oldBits, newBits) { - atomic.StoreUint64(&coldCounts.sumBits, 0) - break - } - } - for i := range h.upperBounds { - atomic.AddUint64(&hotCounts.buckets[i], atomic.LoadUint64(&coldCounts.buckets[i])) - atomic.StoreUint64(&coldCounts.buckets[i], 0) + his.ZeroCount = proto.Uint64(zeroBucket) + his.NegativeSpan, his.NegativeDelta = makeBuckets(&coldCounts.nativeHistogramBucketsNegative) + his.PositiveSpan, his.PositiveDelta = makeBuckets(&coldCounts.nativeHistogramBucketsPositive) } + addAndResetCounts(hotCounts, coldCounts) return nil } @@ -402,25 +797,216 @@ func (h *histogram) findBucket(v float64) int { // observe is the implementation for Observe without the findBucket part. func (h *histogram) observe(v float64, bucket int) { + // Do not add to sparse buckets for NaN observations. + doSparse := h.nativeHistogramSchema > math.MinInt32 && !math.IsNaN(v) // We increment h.countAndHotIdx so that the counter in the lower // 63 bits gets incremented. At the same time, we get the new value // back, which we can use to find the currently-hot counts. n := atomic.AddUint64(&h.countAndHotIdx, 1) hotCounts := h.counts[n>>63] - - if bucket < len(h.upperBounds) { - atomic.AddUint64(&hotCounts.buckets[bucket], 1) + hotCounts.observe(v, bucket, doSparse) + if doSparse { + h.limitBuckets(hotCounts, v, bucket) } - for { - oldBits := atomic.LoadUint64(&hotCounts.sumBits) - newBits := math.Float64bits(math.Float64frombits(oldBits) + v) - if atomic.CompareAndSwapUint64(&hotCounts.sumBits, oldBits, newBits) { - break +} + +// limitSparsebuckets applies a strategy to limit the number of populated sparse +// buckets. It's generally best effort, and there are situations where the +// number can go higher (if even the lowest resolution isn't enough to reduce +// the number sufficiently, or if the provided counts aren't fully updated yet +// by a concurrently happening Write call). +func (h *histogram) limitBuckets(counts *histogramCounts, value float64, bucket int) { + if h.nativeHistogramMaxBuckets == 0 { + return // No limit configured. + } + if h.nativeHistogramMaxBuckets >= atomic.LoadUint32(&counts.nativeHistogramBucketsNumber) { + return // Bucket limit not exceeded yet. + } + + h.mtx.Lock() + defer h.mtx.Unlock() + + // The hot counts might have been swapped just before we acquired the + // lock. Re-fetch the hot counts first... + n := atomic.LoadUint64(&h.countAndHotIdx) + hotIdx := n >> 63 + coldIdx := (^n) >> 63 + hotCounts := h.counts[hotIdx] + coldCounts := h.counts[coldIdx] + // ...and then check again if we really have to reduce the bucket count. + if h.nativeHistogramMaxBuckets >= atomic.LoadUint32(&hotCounts.nativeHistogramBucketsNumber) { + return // Bucket limit not exceeded after all. + } + // Try the various strategies in order. + if h.maybeReset(hotCounts, coldCounts, coldIdx, value, bucket) { + return + } + if h.maybeWidenZeroBucket(hotCounts, coldCounts) { + return + } + h.doubleBucketWidth(hotCounts, coldCounts) +} + +// maybeReset resests the whole histogram if at least h.nativeHistogramMinResetDuration +// has been passed. It returns true if the histogram has been reset. The caller +// must have locked h.mtx. +func (h *histogram) maybeReset(hot, cold *histogramCounts, coldIdx uint64, value float64, bucket int) bool { + // We are using the possibly mocked h.now() rather than + // time.Since(h.lastResetTime) to enable testing. + if h.nativeHistogramMinResetDuration == 0 || h.now().Sub(h.lastResetTime) < h.nativeHistogramMinResetDuration { + return false + } + // Completely reset coldCounts. + h.resetCounts(cold) + // Repeat the latest observation to not lose it completely. + cold.observe(value, bucket, true) + // Make coldCounts the new hot counts while ressetting countAndHotIdx. + n := atomic.SwapUint64(&h.countAndHotIdx, (coldIdx<<63)+1) + count := n & ((1 << 63) - 1) + waitForCooldown(count, hot) + // Finally, reset the formerly hot counts, too. + h.resetCounts(hot) + h.lastResetTime = h.now() + return true +} + +// maybeWidenZeroBucket widens the zero bucket until it includes the existing +// buckets closest to the zero bucket (which could be two, if an equidistant +// negative and a positive bucket exists, but usually it's only one bucket to be +// merged into the new wider zero bucket). h.nativeHistogramMaxZeroThreshold +// limits how far the zero bucket can be extended, and if that's not enough to +// include an existing bucket, the method returns false. The caller must have +// locked h.mtx. +func (h *histogram) maybeWidenZeroBucket(hot, cold *histogramCounts) bool { + currentZeroThreshold := math.Float64frombits(atomic.LoadUint64(&hot.nativeHistogramZeroThresholdBits)) + if currentZeroThreshold >= h.nativeHistogramMaxZeroThreshold { + return false + } + // Find the key of the bucket closest to zero. + smallestKey := findSmallestKey(&hot.nativeHistogramBucketsPositive) + smallestNegativeKey := findSmallestKey(&hot.nativeHistogramBucketsNegative) + if smallestNegativeKey < smallestKey { + smallestKey = smallestNegativeKey + } + if smallestKey == math.MaxInt32 { + return false + } + newZeroThreshold := getLe(smallestKey, atomic.LoadInt32(&hot.nativeHistogramSchema)) + if newZeroThreshold > h.nativeHistogramMaxZeroThreshold { + return false // New threshold would exceed the max threshold. + } + atomic.StoreUint64(&cold.nativeHistogramZeroThresholdBits, math.Float64bits(newZeroThreshold)) + // Remove applicable buckets. + if _, loaded := cold.nativeHistogramBucketsNegative.LoadAndDelete(smallestKey); loaded { + atomicDecUint32(&cold.nativeHistogramBucketsNumber) + } + if _, loaded := cold.nativeHistogramBucketsPositive.LoadAndDelete(smallestKey); loaded { + atomicDecUint32(&cold.nativeHistogramBucketsNumber) + } + // Make cold counts the new hot counts. + n := atomic.AddUint64(&h.countAndHotIdx, 1<<63) + count := n & ((1 << 63) - 1) + // Swap the pointer names to represent the new roles and make + // the rest less confusing. + hot, cold = cold, hot + waitForCooldown(count, cold) + // Add all the now cold counts to the new hot counts... + addAndResetCounts(hot, cold) + // ...adjust the new zero threshold in the cold counts, too... + atomic.StoreUint64(&cold.nativeHistogramZeroThresholdBits, math.Float64bits(newZeroThreshold)) + // ...and then merge the newly deleted buckets into the wider zero + // bucket. + mergeAndDeleteOrAddAndReset := func(hotBuckets, coldBuckets *sync.Map) func(k, v interface{}) bool { + return func(k, v interface{}) bool { + key := k.(int) + bucket := v.(*int64) + if key == smallestKey { + // Merge into hot zero bucket... + atomic.AddUint64(&hot.nativeHistogramZeroBucket, uint64(atomic.LoadInt64(bucket))) + // ...and delete from cold counts. + coldBuckets.Delete(key) + atomicDecUint32(&cold.nativeHistogramBucketsNumber) + } else { + // Add to corresponding hot bucket... + if addToBucket(hotBuckets, key, atomic.LoadInt64(bucket)) { + atomic.AddUint32(&hot.nativeHistogramBucketsNumber, 1) + } + // ...and reset cold bucket. + atomic.StoreInt64(bucket, 0) + } + return true } } - // Increment count last as we take it as a signal that the observation - // is complete. - atomic.AddUint64(&hotCounts.count, 1) + + cold.nativeHistogramBucketsPositive.Range(mergeAndDeleteOrAddAndReset(&hot.nativeHistogramBucketsPositive, &cold.nativeHistogramBucketsPositive)) + cold.nativeHistogramBucketsNegative.Range(mergeAndDeleteOrAddAndReset(&hot.nativeHistogramBucketsNegative, &cold.nativeHistogramBucketsNegative)) + return true +} + +// doubleBucketWidth doubles the bucket width (by decrementing the schema +// number). Note that very sparse buckets could lead to a low reduction of the +// bucket count (or even no reduction at all). The method does nothing if the +// schema is already -4. +func (h *histogram) doubleBucketWidth(hot, cold *histogramCounts) { + coldSchema := atomic.LoadInt32(&cold.nativeHistogramSchema) + if coldSchema == -4 { + return // Already at lowest resolution. + } + coldSchema-- + atomic.StoreInt32(&cold.nativeHistogramSchema, coldSchema) + // Play it simple and just delete all cold buckets. + atomic.StoreUint32(&cold.nativeHistogramBucketsNumber, 0) + deleteSyncMap(&cold.nativeHistogramBucketsNegative) + deleteSyncMap(&cold.nativeHistogramBucketsPositive) + // Make coldCounts the new hot counts. + n := atomic.AddUint64(&h.countAndHotIdx, 1<<63) + count := n & ((1 << 63) - 1) + // Swap the pointer names to represent the new roles and make + // the rest less confusing. + hot, cold = cold, hot + waitForCooldown(count, cold) + // Add all the now cold counts to the new hot counts... + addAndResetCounts(hot, cold) + // ...adjust the schema in the cold counts, too... + atomic.StoreInt32(&cold.nativeHistogramSchema, coldSchema) + // ...and then merge the cold buckets into the wider hot buckets. + merge := func(hotBuckets *sync.Map) func(k, v interface{}) bool { + return func(k, v interface{}) bool { + key := k.(int) + bucket := v.(*int64) + // Adjust key to match the bucket to merge into. + if key > 0 { + key++ + } + key /= 2 + // Add to corresponding hot bucket. + if addToBucket(hotBuckets, key, atomic.LoadInt64(bucket)) { + atomic.AddUint32(&hot.nativeHistogramBucketsNumber, 1) + } + return true + } + } + + cold.nativeHistogramBucketsPositive.Range(merge(&hot.nativeHistogramBucketsPositive)) + cold.nativeHistogramBucketsNegative.Range(merge(&hot.nativeHistogramBucketsNegative)) + // Play it simple again and just delete all cold buckets. + atomic.StoreUint32(&cold.nativeHistogramBucketsNumber, 0) + deleteSyncMap(&cold.nativeHistogramBucketsNegative) + deleteSyncMap(&cold.nativeHistogramBucketsPositive) +} + +func (h *histogram) resetCounts(counts *histogramCounts) { + atomic.StoreUint64(&counts.sumBits, 0) + atomic.StoreUint64(&counts.count, 0) + atomic.StoreUint64(&counts.nativeHistogramZeroBucket, 0) + atomic.StoreUint64(&counts.nativeHistogramZeroThresholdBits, math.Float64bits(h.nativeHistogramZeroThreshold)) + atomic.StoreInt32(&counts.nativeHistogramSchema, h.nativeHistogramSchema) + atomic.StoreUint32(&counts.nativeHistogramBucketsNumber, 0) + for i := range h.upperBounds { + atomic.StoreUint64(&counts.buckets[i], 0) + } + deleteSyncMap(&counts.nativeHistogramBucketsNegative) + deleteSyncMap(&counts.nativeHistogramBucketsPositive) } // updateExemplar replaces the exemplar for the provided bucket. With empty @@ -516,7 +1102,8 @@ func (v *HistogramVec) GetMetricWith(labels Labels) (Observer, error) { // WithLabelValues works as GetMetricWithLabelValues, but panics where // GetMetricWithLabelValues would have returned an error. Not returning an // error allows shortcuts like -// myVec.WithLabelValues("404", "GET").Observe(42.21) +// +// myVec.WithLabelValues("404", "GET").Observe(42.21) func (v *HistogramVec) WithLabelValues(lvs ...string) Observer { h, err := v.GetMetricWithLabelValues(lvs...) if err != nil { @@ -527,7 +1114,8 @@ func (v *HistogramVec) WithLabelValues(lvs ...string) Observer { // With works as GetMetricWith but panics where GetMetricWithLabels would have // returned an error. Not returning an error allows shortcuts like -// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21) +// +// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21) func (v *HistogramVec) With(labels Labels) Observer { h, err := v.GetMetricWith(labels) if err != nil { @@ -613,7 +1201,7 @@ func (h *constHistogram) Write(out *dto.Metric) error { // to send it to Prometheus in the Collect method. // // buckets is a map of upper bounds to cumulative counts, excluding the +Inf -// bucket. +// bucket. The +Inf bucket is implicit, and its value is equal to the provided count. // // NewConstHistogram returns an error if the length of labelValues is not // consistent with the variable labels in Desc or if Desc is invalid. @@ -668,3 +1256,229 @@ func (s buckSort) Swap(i, j int) { func (s buckSort) Less(i, j int) bool { return s[i].GetUpperBound() < s[j].GetUpperBound() } + +// pickSchema returns the largest number n between -4 and 8 such that +// 2^(2^-n) is less or equal the provided bucketFactor. +// +// Special cases: +// - bucketFactor <= 1: panics. +// - bucketFactor < 2^(2^-8) (but > 1): still returns 8. +func pickSchema(bucketFactor float64) int32 { + if bucketFactor <= 1 { + panic(fmt.Errorf("bucketFactor %f is <=1", bucketFactor)) + } + floor := math.Floor(math.Log2(math.Log2(bucketFactor))) + switch { + case floor <= -8: + return 8 + case floor >= 4: + return -4 + default: + return -int32(floor) + } +} + +func makeBuckets(buckets *sync.Map) ([]*dto.BucketSpan, []int64) { + var ii []int + buckets.Range(func(k, v interface{}) bool { + ii = append(ii, k.(int)) + return true + }) + sort.Ints(ii) + + if len(ii) == 0 { + return nil, nil + } + + var ( + spans []*dto.BucketSpan + deltas []int64 + prevCount int64 + nextI int + ) + + appendDelta := func(count int64) { + *spans[len(spans)-1].Length++ + deltas = append(deltas, count-prevCount) + prevCount = count + } + + for n, i := range ii { + v, _ := buckets.Load(i) + count := atomic.LoadInt64(v.(*int64)) + // Multiple spans with only small gaps in between are probably + // encoded more efficiently as one larger span with a few empty + // buckets. Needs some research to find the sweet spot. For now, + // we assume that gaps of one ore two buckets should not create + // a new span. + iDelta := int32(i - nextI) + if n == 0 || iDelta > 2 { + // We have to create a new span, either because we are + // at the very beginning, or because we have found a gap + // of more than two buckets. + spans = append(spans, &dto.BucketSpan{ + Offset: proto.Int32(iDelta), + Length: proto.Uint32(0), + }) + } else { + // We have found a small gap (or no gap at all). + // Insert empty buckets as needed. + for j := int32(0); j < iDelta; j++ { + appendDelta(0) + } + } + appendDelta(count) + nextI = i + 1 + } + return spans, deltas +} + +// addToBucket increments the sparse bucket at key by the provided amount. It +// returns true if a new sparse bucket had to be created for that. +func addToBucket(buckets *sync.Map, key int, increment int64) bool { + if existingBucket, ok := buckets.Load(key); ok { + // Fast path without allocation. + atomic.AddInt64(existingBucket.(*int64), increment) + return false + } + // Bucket doesn't exist yet. Slow path allocating new counter. + newBucket := increment // TODO(beorn7): Check if this is sufficient to not let increment escape. + if actualBucket, loaded := buckets.LoadOrStore(key, &newBucket); loaded { + // The bucket was created concurrently in another goroutine. + // Have to increment after all. + atomic.AddInt64(actualBucket.(*int64), increment) + return false + } + return true +} + +// addAndReset returns a function to be used with sync.Map.Range of spare +// buckets in coldCounts. It increments the buckets in the provided hotBuckets +// according to the buckets ranged through. It then resets all buckets ranged +// through to 0 (but leaves them in place so that they don't need to get +// recreated on the next scrape). +func addAndReset(hotBuckets *sync.Map, bucketNumber *uint32) func(k, v interface{}) bool { + return func(k, v interface{}) bool { + bucket := v.(*int64) + if addToBucket(hotBuckets, k.(int), atomic.LoadInt64(bucket)) { + atomic.AddUint32(bucketNumber, 1) + } + atomic.StoreInt64(bucket, 0) + return true + } +} + +func deleteSyncMap(m *sync.Map) { + m.Range(func(k, v interface{}) bool { + m.Delete(k) + return true + }) +} + +func findSmallestKey(m *sync.Map) int { + result := math.MaxInt32 + m.Range(func(k, v interface{}) bool { + key := k.(int) + if key < result { + result = key + } + return true + }) + return result +} + +func getLe(key int, schema int32) float64 { + // Here a bit of context about the behavior for the last bucket counting + // regular numbers (called simply "last bucket" below) and the bucket + // counting observations of ±Inf (called "inf bucket" below, with a key + // one higher than that of the "last bucket"): + // + // If we apply the usual formula to the last bucket, its upper bound + // would be calculated as +Inf. The reason is that the max possible + // regular float64 number (math.MaxFloat64) doesn't coincide with one of + // the calculated bucket boundaries. So the calculated boundary has to + // be larger than math.MaxFloat64, and the only float64 larger than + // math.MaxFloat64 is +Inf. However, we want to count actual + // observations of ±Inf in the inf bucket. Therefore, we have to treat + // the upper bound of the last bucket specially and set it to + // math.MaxFloat64. (The upper bound of the inf bucket, with its key + // being one higher than that of the last bucket, naturally comes out as + // +Inf by the usual formula. So that's fine.) + // + // math.MaxFloat64 has a frac of 0.9999999999999999 and an exp of + // 1024. If there were a float64 number following math.MaxFloat64, it + // would have a frac of 1.0 and an exp of 1024, or equivalently a frac + // of 0.5 and an exp of 1025. However, since frac must be smaller than + // 1, and exp must be smaller than 1025, either representation overflows + // a float64. (Which, in turn, is the reason that math.MaxFloat64 is the + // largest possible float64. Q.E.D.) However, the formula for + // calculating the upper bound from the idx and schema of the last + // bucket results in precisely that. It is either frac=1.0 & exp=1024 + // (for schema < 0) or frac=0.5 & exp=1025 (for schema >=0). (This is, + // by the way, a power of two where the exponent itself is a power of + // two, 2¹⁰ in fact, which coinicides with a bucket boundary in all + // schemas.) So these are the special cases we have to catch below. + if schema < 0 { + exp := key << -schema + if exp == 1024 { + // This is the last bucket before the overflow bucket + // (for ±Inf observations). Return math.MaxFloat64 as + // explained above. + return math.MaxFloat64 + } + return math.Ldexp(1, exp) + } + + fracIdx := key & ((1 << schema) - 1) + frac := nativeHistogramBounds[schema][fracIdx] + exp := (key >> schema) + 1 + if frac == 0.5 && exp == 1025 { + // This is the last bucket before the overflow bucket (for ±Inf + // observations). Return math.MaxFloat64 as explained above. + return math.MaxFloat64 + } + return math.Ldexp(frac, exp) +} + +// waitForCooldown returns after the count field in the provided histogramCounts +// has reached the provided count value. +func waitForCooldown(count uint64, counts *histogramCounts) { + for count != atomic.LoadUint64(&counts.count) { + runtime.Gosched() // Let observations get work done. + } +} + +// atomicAddFloat adds the provided float atomically to another float +// represented by the bit pattern the bits pointer is pointing to. +func atomicAddFloat(bits *uint64, v float64) { + for { + loadedBits := atomic.LoadUint64(bits) + newBits := math.Float64bits(math.Float64frombits(loadedBits) + v) + if atomic.CompareAndSwapUint64(bits, loadedBits, newBits) { + break + } + } +} + +// atomicDecUint32 atomically decrements the uint32 p points to. See +// https://pkg.go.dev/sync/atomic#AddUint32 to understand how this is done. +func atomicDecUint32(p *uint32) { + atomic.AddUint32(p, ^uint32(0)) +} + +// addAndResetCounts adds certain fields (count, sum, conventional buckets, zero +// bucket) from the cold counts to the corresponding fields in the hot +// counts. Those fields are then reset to 0 in the cold counts. +func addAndResetCounts(hot, cold *histogramCounts) { + atomic.AddUint64(&hot.count, atomic.LoadUint64(&cold.count)) + atomic.StoreUint64(&cold.count, 0) + coldSum := math.Float64frombits(atomic.LoadUint64(&cold.sumBits)) + atomicAddFloat(&hot.sumBits, coldSum) + atomic.StoreUint64(&cold.sumBits, 0) + for i := range hot.buckets { + atomic.AddUint64(&hot.buckets[i], atomic.LoadUint64(&cold.buckets[i])) + atomic.StoreUint64(&cold.buckets[i], 0) + } + atomic.AddUint64(&hot.nativeHistogramZeroBucket, atomic.LoadUint64(&cold.nativeHistogramZeroBucket)) + atomic.StoreUint64(&cold.nativeHistogramZeroBucket, 0) +} diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/almost_equal.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/almost_equal.go new file mode 100644 index 0000000000..1ed5abe74c --- /dev/null +++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/almost_equal.go @@ -0,0 +1,60 @@ +// Copyright (c) 2015 Björn Rabenstein +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the "Software"), to deal +// in the Software without restriction, including without limitation the rights +// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +// copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in all +// copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +// SOFTWARE. +// +// The code in this package is copy/paste to avoid a dependency. Hence this file +// carries the copyright of the original repo. +// https://github.com/beorn7/floats +package internal + +import ( + "math" +) + +// minNormalFloat64 is the smallest positive normal value of type float64. +var minNormalFloat64 = math.Float64frombits(0x0010000000000000) + +// AlmostEqualFloat64 returns true if a and b are equal within a relative error +// of epsilon. See http://floating-point-gui.de/errors/comparison/ for the +// details of the applied method. +func AlmostEqualFloat64(a, b, epsilon float64) bool { + if a == b { + return true + } + absA := math.Abs(a) + absB := math.Abs(b) + diff := math.Abs(a - b) + if a == 0 || b == 0 || absA+absB < minNormalFloat64 { + return diff < epsilon*minNormalFloat64 + } + return diff/math.Min(absA+absB, math.MaxFloat64) < epsilon +} + +// AlmostEqualFloat64s is the slice form of AlmostEqualFloat64. +func AlmostEqualFloat64s(a, b []float64, epsilon float64) bool { + if len(a) != len(b) { + return false + } + for i := range a { + if !AlmostEqualFloat64(a[i], b[i], epsilon) { + return false + } + } + return true +} diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go index fd45cadc0c..fd0750f2cf 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go @@ -201,12 +201,15 @@ func (m *SequenceMatcher) isBJunk(s string) bool { // If IsJunk is not defined: // // Return (i,j,k) such that a[i:i+k] is equal to b[j:j+k], where -// alo <= i <= i+k <= ahi -// blo <= j <= j+k <= bhi +// +// alo <= i <= i+k <= ahi +// blo <= j <= j+k <= bhi +// // and for all (i',j',k') meeting those conditions, -// k >= k' -// i <= i' -// and if i == i', j <= j' +// +// k >= k' +// i <= i' +// and if i == i', j <= j' // // In other words, of all maximal matching blocks, return one that // starts earliest in a, and of all those maximal matching blocks that diff --git a/vendor/github.com/prometheus/client_golang/prometheus/labels.go b/vendor/github.com/prometheus/client_golang/prometheus/labels.go index 6eee198fef..c1b8fad36a 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/labels.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/labels.go @@ -25,7 +25,8 @@ import ( // Labels represents a collection of label name -> value mappings. This type is // commonly used with the With(Labels) and GetMetricWith(Labels) methods of // metric vector Collectors, e.g.: -// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42) +// +// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42) // // The other use-case is the specification of constant label pairs in Opts or to // create a Desc. diff --git a/vendor/github.com/prometheus/client_golang/prometheus/metric.go b/vendor/github.com/prometheus/client_golang/prometheus/metric.go index f0941f6f00..b5119c5041 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/metric.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/metric.go @@ -187,7 +187,7 @@ func (m *withExemplarsMetric) Write(pb *dto.Metric) error { } else { // The +Inf bucket should be explicitly added if there is an exemplar for it, similar to non-const histogram logic in https://github.com/prometheus/client_golang/blob/main/prometheus/histogram.go#L357-L365. b := &dto.Bucket{ - CumulativeCount: proto.Uint64(pb.Histogram.Bucket[len(pb.Histogram.GetBucket())-1].GetCumulativeCount()), + CumulativeCount: proto.Uint64(pb.Histogram.GetSampleCount()), UpperBound: proto.Float64(math.Inf(1)), Exemplar: e, } diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go index 097aff2df6..2108678162 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go @@ -73,12 +73,11 @@ func InstrumentRoundTripperCounter(counter *prometheus.CounterVec, next http.Rou return func(r *http.Request) (*http.Response, error) { resp, err := next.RoundTrip(r) if err == nil { - exemplarAdd( + addWithExemplar( counter.With(labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)), 1, rtOpts.getExemplarFn(r.Context()), ) - counter.With(labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)).Inc() } return resp, err } @@ -117,7 +116,7 @@ func InstrumentRoundTripperDuration(obs prometheus.ObserverVec, next http.RoundT start := time.Now() resp, err := next.RoundTrip(r) if err == nil { - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)), time.Since(start).Seconds(), rtOpts.getExemplarFn(r.Context()), diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go index bfe5009877..cca67a78a9 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go @@ -28,7 +28,9 @@ import ( // magicString is used for the hacky label test in checkLabels. Remove once fixed. const magicString = "zZgWfBxLqvG8kc8IMv3POi2Bb0tZI3vAnBx+gBaFi9FyPzB/CzKUer1yufDa" -func exemplarObserve(obs prometheus.Observer, val float64, labels map[string]string) { +// observeWithExemplar is a wrapper for [prometheus.ExemplarAdder.ExemplarObserver], +// which falls back to [prometheus.Observer.Observe] if no labels are provided. +func observeWithExemplar(obs prometheus.Observer, val float64, labels map[string]string) { if labels == nil { obs.Observe(val) return @@ -36,7 +38,9 @@ func exemplarObserve(obs prometheus.Observer, val float64, labels map[string]str obs.(prometheus.ExemplarObserver).ObserveWithExemplar(val, labels) } -func exemplarAdd(obs prometheus.Counter, val float64, labels map[string]string) { +// addWithExemplar is a wrapper for [prometheus.ExemplarAdder.AddWithExemplar], +// which falls back to [prometheus.Counter.Add] if no labels are provided. +func addWithExemplar(obs prometheus.Counter, val float64, labels map[string]string) { if labels == nil { obs.Add(val) return @@ -91,7 +95,7 @@ func InstrumentHandlerDuration(obs prometheus.ObserverVec, next http.Handler, op d := newDelegator(w, nil) next.ServeHTTP(d, r) - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)), time.Since(now).Seconds(), hOpts.getExemplarFn(r.Context()), @@ -103,7 +107,7 @@ func InstrumentHandlerDuration(obs prometheus.ObserverVec, next http.Handler, op now := time.Now() next.ServeHTTP(w, r) - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, 0, hOpts.extraMethods...)), time.Since(now).Seconds(), hOpts.getExemplarFn(r.Context()), @@ -141,7 +145,7 @@ func InstrumentHandlerCounter(counter *prometheus.CounterVec, next http.Handler, d := newDelegator(w, nil) next.ServeHTTP(d, r) - exemplarAdd( + addWithExemplar( counter.With(labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)), 1, hOpts.getExemplarFn(r.Context()), @@ -151,7 +155,7 @@ func InstrumentHandlerCounter(counter *prometheus.CounterVec, next http.Handler, return func(w http.ResponseWriter, r *http.Request) { next.ServeHTTP(w, r) - exemplarAdd( + addWithExemplar( counter.With(labels(code, method, r.Method, 0, hOpts.extraMethods...)), 1, hOpts.getExemplarFn(r.Context()), @@ -192,7 +196,7 @@ func InstrumentHandlerTimeToWriteHeader(obs prometheus.ObserverVec, next http.Ha return func(w http.ResponseWriter, r *http.Request) { now := time.Now() d := newDelegator(w, func(status int) { - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, status, hOpts.extraMethods...)), time.Since(now).Seconds(), hOpts.getExemplarFn(r.Context()), @@ -233,7 +237,7 @@ func InstrumentHandlerRequestSize(obs prometheus.ObserverVec, next http.Handler, d := newDelegator(w, nil) next.ServeHTTP(d, r) size := computeApproximateRequestSize(r) - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)), float64(size), hOpts.getExemplarFn(r.Context()), @@ -244,7 +248,7 @@ func InstrumentHandlerRequestSize(obs prometheus.ObserverVec, next http.Handler, return func(w http.ResponseWriter, r *http.Request) { next.ServeHTTP(w, r) size := computeApproximateRequestSize(r) - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, 0, hOpts.extraMethods...)), float64(size), hOpts.getExemplarFn(r.Context()), @@ -282,7 +286,7 @@ func InstrumentHandlerResponseSize(obs prometheus.ObserverVec, next http.Handler return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { d := newDelegator(w, nil) next.ServeHTTP(d, r) - exemplarObserve( + observeWithExemplar( obs.With(labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)), float64(d.Written()), hOpts.getExemplarFn(r.Context()), diff --git a/vendor/github.com/prometheus/client_golang/prometheus/registry.go b/vendor/github.com/prometheus/client_golang/prometheus/registry.go index 325f665ff6..09e34d307c 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/registry.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/registry.go @@ -252,9 +252,12 @@ func (errs MultiError) MaybeUnwrap() error { } // Registry registers Prometheus collectors, collects their metrics, and gathers -// them into MetricFamilies for exposition. It implements both Registerer and -// Gatherer. The zero value is not usable. Create instances with NewRegistry or -// NewPedanticRegistry. +// them into MetricFamilies for exposition. It implements Registerer, Gatherer, +// and Collector. The zero value is not usable. Create instances with +// NewRegistry or NewPedanticRegistry. +// +// Registry implements Collector to allow it to be used for creating groups of +// metrics. See the Grouping example for how this can be done. type Registry struct { mtx sync.RWMutex collectorsByID map[uint64]Collector // ID is a hash of the descIDs. @@ -556,6 +559,31 @@ func (r *Registry) Gather() ([]*dto.MetricFamily, error) { return internal.NormalizeMetricFamilies(metricFamiliesByName), errs.MaybeUnwrap() } +// Describe implements Collector. +func (r *Registry) Describe(ch chan<- *Desc) { + r.mtx.RLock() + defer r.mtx.RUnlock() + + // Only report the checked Collectors; unchecked collectors don't report any + // Desc. + for _, c := range r.collectorsByID { + c.Describe(ch) + } +} + +// Collect implements Collector. +func (r *Registry) Collect(ch chan<- Metric) { + r.mtx.RLock() + defer r.mtx.RUnlock() + + for _, c := range r.collectorsByID { + c.Collect(ch) + } + for _, c := range r.uncheckedCollectors { + c.Collect(ch) + } +} + // WriteToTextfile calls Gather on the provided Gatherer, encodes the result in the // Prometheus text format, and writes it to a temporary file. Upon success, the // temporary file is renamed to the provided filename. diff --git a/vendor/github.com/prometheus/client_golang/prometheus/summary.go b/vendor/github.com/prometheus/client_golang/prometheus/summary.go index c5fa8ed7c7..7bc448a893 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/summary.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/summary.go @@ -603,7 +603,8 @@ func (v *SummaryVec) GetMetricWith(labels Labels) (Observer, error) { // WithLabelValues works as GetMetricWithLabelValues, but panics where // GetMetricWithLabelValues would have returned an error. Not returning an // error allows shortcuts like -// myVec.WithLabelValues("404", "GET").Observe(42.21) +// +// myVec.WithLabelValues("404", "GET").Observe(42.21) func (v *SummaryVec) WithLabelValues(lvs ...string) Observer { s, err := v.GetMetricWithLabelValues(lvs...) if err != nil { @@ -614,7 +615,8 @@ func (v *SummaryVec) WithLabelValues(lvs ...string) Observer { // With works as GetMetricWith, but panics where GetMetricWithLabels would have // returned an error. Not returning an error allows shortcuts like -// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21) +// +// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21) func (v *SummaryVec) With(labels Labels) Observer { s, err := v.GetMetricWith(labels) if err != nil { @@ -701,7 +703,8 @@ func (s *constSummary) Write(out *dto.Metric) error { // // quantiles maps ranks to quantile values. For example, a median latency of // 0.23s and a 99th percentile latency of 0.56s would be expressed as: -// map[float64]float64{0.5: 0.23, 0.99: 0.56} +// +// map[float64]float64{0.5: 0.23, 0.99: 0.56} // // NewConstSummary returns an error if the length of labelValues is not // consistent with the variable labels in Desc or if Desc is invalid. diff --git a/vendor/github.com/prometheus/client_golang/prometheus/timer.go b/vendor/github.com/prometheus/client_golang/prometheus/timer.go index 8d5f105233..f28a76f3a6 100644 --- a/vendor/github.com/prometheus/client_golang/prometheus/timer.go +++ b/vendor/github.com/prometheus/client_golang/prometheus/timer.go @@ -25,11 +25,12 @@ type Timer struct { // NewTimer creates a new Timer. The provided Observer is used to observe a // duration in seconds. Timer is usually used to time a function call in the // following way: -// func TimeMe() { -// timer := NewTimer(myHistogram) -// defer timer.ObserveDuration() -// // Do actual work. -// } +// +// func TimeMe() { +// timer := NewTimer(myHistogram) +// defer timer.ObserveDuration() +// // Do actual work. +// } func NewTimer(o Observer) *Timer { return &Timer{ begin: time.Now(), diff --git a/vendor/github.com/prometheus/client_model/go/metrics.pb.go b/vendor/github.com/prometheus/client_model/go/metrics.pb.go index 2f4930d9dd..35904ea198 100644 --- a/vendor/github.com/prometheus/client_model/go/metrics.pb.go +++ b/vendor/github.com/prometheus/client_model/go/metrics.pb.go @@ -1,5 +1,5 @@ // Code generated by protoc-gen-go. DO NOT EDIT. -// source: metrics.proto +// source: io/prometheus/client/metrics.proto package io_prometheus_client @@ -24,11 +24,18 @@ const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package 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 @@ var MetricType_name = map[int32]string{ 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 { @@ -67,7 +76,7 @@ func (x *MetricType) UnmarshalJSON(data []byte) error { } func (MetricType) EnumDescriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{0} + return fileDescriptor_d1e5ddb18987a258, []int{0} } type LabelPair struct { @@ -82,7 +91,7 @@ func (m *LabelPair) Reset() { *m = LabelPair{} } func (m *LabelPair) String() string { return proto.CompactTextString(m) } func (*LabelPair) ProtoMessage() {} func (*LabelPair) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{0} + return fileDescriptor_d1e5ddb18987a258, []int{0} } func (m *LabelPair) XXX_Unmarshal(b []byte) error { @@ -128,7 +137,7 @@ func (m *Gauge) Reset() { *m = Gauge{} } func (m *Gauge) String() string { return proto.CompactTextString(m) } func (*Gauge) ProtoMessage() {} func (*Gauge) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{1} + return fileDescriptor_d1e5ddb18987a258, []int{1} } func (m *Gauge) XXX_Unmarshal(b []byte) error { @@ -168,7 +177,7 @@ func (m *Counter) Reset() { *m = Counter{} } func (m *Counter) String() string { return proto.CompactTextString(m) } func (*Counter) ProtoMessage() {} func (*Counter) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{2} + return fileDescriptor_d1e5ddb18987a258, []int{2} } func (m *Counter) XXX_Unmarshal(b []byte) error { @@ -215,7 +224,7 @@ func (m *Quantile) Reset() { *m = Quantile{} } func (m *Quantile) String() string { return proto.CompactTextString(m) } func (*Quantile) ProtoMessage() {} func (*Quantile) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{3} + return fileDescriptor_d1e5ddb18987a258, []int{3} } func (m *Quantile) XXX_Unmarshal(b []byte) error { @@ -263,7 +272,7 @@ func (m *Summary) Reset() { *m = Summary{} } func (m *Summary) String() string { return proto.CompactTextString(m) } func (*Summary) ProtoMessage() {} func (*Summary) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{4} + return fileDescriptor_d1e5ddb18987a258, []int{4} } func (m *Summary) XXX_Unmarshal(b []byte) error { @@ -316,7 +325,7 @@ func (m *Untyped) Reset() { *m = Untyped{} } func (m *Untyped) String() string { return proto.CompactTextString(m) } func (*Untyped) ProtoMessage() {} func (*Untyped) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{5} + return fileDescriptor_d1e5ddb18987a258, []int{5} } func (m *Untyped) XXX_Unmarshal(b []byte) error { @@ -345,9 +354,34 @@ func (m *Untyped) GetValue() float64 { } 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:"-"` @@ -357,7 +391,7 @@ func (m *Histogram) Reset() { *m = Histogram{} } func (m *Histogram) String() string { return proto.CompactTextString(m) } func (*Histogram) ProtoMessage() {} func (*Histogram) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{6} + return fileDescriptor_d1e5ddb18987a258, []int{6} } func (m *Histogram) XXX_Unmarshal(b []byte) error { @@ -385,6 +419,13 @@ func (m *Histogram) GetSampleCount() uint64 { 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 @@ func (m *Histogram) GetBucket() []*Bucket { 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:"-"` @@ -412,7 +526,7 @@ func (m *Bucket) Reset() { *m = Bucket{} } func (m *Bucket) String() string { return proto.CompactTextString(m) } func (*Bucket) ProtoMessage() {} func (*Bucket) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{7} + return fileDescriptor_d1e5ddb18987a258, []int{7} } func (m *Bucket) XXX_Unmarshal(b []byte) error { @@ -440,6 +554,13 @@ func (m *Bucket) GetCumulativeCount() uint64 { 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 @@ func (m *Bucket) GetExemplar() *Exemplar { 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) Reset() { *m = Exemplar{} } func (m *Exemplar) String() string { return proto.CompactTextString(m) } func (*Exemplar) ProtoMessage() {} func (*Exemplar) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{8} + return fileDescriptor_d1e5ddb18987a258, []int{9} } func (m *Exemplar) XXX_Unmarshal(b []byte) error { @@ -526,7 +700,7 @@ func (m *Metric) Reset() { *m = Metric{} } func (m *Metric) String() string { return proto.CompactTextString(m) } func (*Metric) ProtoMessage() {} func (*Metric) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{9} + return fileDescriptor_d1e5ddb18987a258, []int{10} } func (m *Metric) XXX_Unmarshal(b []byte) error { @@ -610,7 +784,7 @@ func (m *MetricFamily) Reset() { *m = MetricFamily{} } func (m *MetricFamily) String() string { return proto.CompactTextString(m) } func (*MetricFamily) ProtoMessage() {} func (*MetricFamily) Descriptor() ([]byte, []int) { - return fileDescriptor_6039342a2ba47b72, []int{10} + return fileDescriptor_d1e5ddb18987a258, []int{11} } func (m *MetricFamily) XXX_Unmarshal(b []byte) error { @@ -669,55 +843,72 @@ func init() { 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") } -func init() { proto.RegisterFile("metrics.proto", fileDescriptor_6039342a2ba47b72) } - -var fileDescriptor_6039342a2ba47b72 = []byte{ - // 665 bytes of a gzipped FileDescriptorProto - 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xac, 0x54, 0xcd, 0x6e, 0xd3, 0x4c, - 0x14, 0xfd, 0xdc, 0x38, 0x3f, 0xbe, 0x69, 0x3f, 0xa2, 0x51, 0x17, 0x56, 0xa1, 0x24, 0x78, 0x55, - 0x58, 0x38, 0xa2, 0x6a, 0x05, 0x2a, 0xb0, 0x68, 0x4b, 0x48, 0x91, 0x48, 0x5b, 0x26, 0xc9, 0xa2, - 0xb0, 0x88, 0x1c, 0x77, 0x70, 0x2c, 0x3c, 0xb1, 0xb1, 0x67, 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0x34, 0x6a, 0xa1, 0x21, 0xb8, 0x4f, + 0xbe, 0x9d, 0x2f, 0x9e, 0x5d, 0xe2, 0xf3, 0xd9, 0xa8, 0x8d, 0xde, 0x85, 0x3b, 0xaa, 0x27, 0xac, + 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/vendor/modules.txt b/vendor/modules.txt index 7351af1467..22f4b7693d 100644 --- a/vendor/modules.txt +++ b/vendor/modules.txt @@ -740,12 +740,12 @@ github.com/philhofer/fwd # github.com/pkg/errors v0.9.1 ## explicit github.com/pkg/errors -# github.com/prometheus/client_golang v1.13.0 +# github.com/prometheus/client_golang v1.14.0 ## explicit; go 1.17 github.com/prometheus/client_golang/prometheus github.com/prometheus/client_golang/prometheus/internal github.com/prometheus/client_golang/prometheus/promhttp -# github.com/prometheus/client_model v0.2.0 +# github.com/prometheus/client_model v0.3.0 ## explicit; go 1.9 github.com/prometheus/client_model/go # github.com/prometheus/common v0.37.0