X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=metrics.h;h=e2e1e74f5ac9bb818f5bbdb8e6798ec27cadf869;hb=e284d1c7a2e18ee7e4aea082c4a57a3504a0f5e8;hp=2a19e259cc32bf4df11c1eb779d6339b16382fd9;hpb=4194f21b1a5e4ccfe79d40024075ab9795814029;p=nageru diff --git a/metrics.h b/metrics.h index 2a19e25..e2e1e74 100644 --- a/metrics.h +++ b/metrics.h @@ -7,16 +7,35 @@ // which makes it quite unwieldy. Thus, we'll package our own for the time being. #include +#include +#include +#include +#include #include #include -#include +#include #include +class Histogram; +class Summary; + +// Prometheus recommends the use of timestamps instead of “time since event”, +// so you can use this to get the number of seconds since the epoch. +// Note that this will be wrong if your clock changes, so for non-metric use, +// you should use std::chrono::steady_clock instead. +double get_timestamp_for_metrics(); + class Metrics { public: enum Type { TYPE_COUNTER, TYPE_GAUGE, + TYPE_HISTOGRAM, // Internal use only. + TYPE_SUMMARY, // Internal use only. + }; + enum Laziness { + PRINT_ALWAYS, + PRINT_WHEN_NONEMPTY, }; void add(const std::string &name, std::atomic *location, Type type = TYPE_COUNTER) @@ -29,42 +48,115 @@ public: add(name, {}, location, type); } + void add(const std::string &name, Histogram *location) + { + add(name, {}, location); + } + + void add(const std::string &name, Summary *location) + { + add(name, {}, location); + } + void add(const std::string &name, const std::vector> &labels, std::atomic *location, Type type = TYPE_COUNTER); void add(const std::string &name, const std::vector> &labels, std::atomic *location, Type type = TYPE_COUNTER); + void add(const std::string &name, const std::vector> &labels, Histogram *location, Laziness laziness = PRINT_ALWAYS); + void add(const std::string &name, const std::vector> &labels, Summary *location, Laziness laziness = PRINT_ALWAYS); - // Only integer histogram, ie. keys are 0..(N-1). - void add_histogram(const std::string &name, const std::vector> &labels, std::atomic *location, size_t num_elements); + void remove(const std::string &name) + { + remove(name, {}); + } + + void remove(const std::string &name, const std::vector> &labels); std::string serialize() const; private: + static std::string serialize_name(const std::string &name, const std::vector> &labels); + static std::string serialize_labels(const std::vector> &labels); + enum DataType { DATA_TYPE_INT64, DATA_TYPE_DOUBLE, + DATA_TYPE_HISTOGRAM, + DATA_TYPE_SUMMARY, }; + struct MetricKey { + MetricKey(const std::string &name, const std::vector> labels) + : name(name), labels(labels), serialized_labels(serialize_labels(labels)) + { + } + bool operator< (const MetricKey &other) const + { + if (name != other.name) + return name < other.name; + return serialized_labels < other.serialized_labels; + } + + const std::string name; + const std::vector> labels; + const std::string serialized_labels; + }; struct Metric { DataType data_type; - std::string name; - std::vector> labels; + Laziness laziness; // Only for TYPE_HISTOGRAM. union { std::atomic *location_int64; std::atomic *location_double; + Histogram *location_histogram; + Summary *location_summary; }; }; - // TODO: This needs to be more general. - struct Histogram { - std::string name; - std::vector> labels; - std::atomic *location_int64; // First bucket. - size_t num_elements; + mutable std::mutex mu; + std::map types; // Ordered the same as metrics. + std::map metrics; + + friend class Histogram; + friend class Summary; +}; + +class Histogram { +public: + void init(const std::vector &bucket_vals); + void init_uniform(size_t num_buckets); // Sets up buckets 0..(N-1). + void init_geometric(double min, double max, size_t num_buckets); + void count_event(double val); + std::string serialize(Metrics::Laziness laziness, const std::string &name, const std::vector> &labels) const; + +private: + // Bucket counts number of events where val[i - 1] < x <= val[i]. + // The end histogram ends up being made into a cumulative one, + // but that's not how we store it here. + struct Bucket { + double val; + std::atomic count{0}; }; + std::unique_ptr buckets; + size_t num_buckets; + std::atomic sum{0.0}; + std::atomic count_after_last_bucket{0}; +}; + +// This is a pretty dumb streaming quantile class, but it's exact, and we don't have +// too many values (typically one per frame, and one-minute interval), so we don't +// need anything fancy. +class Summary { +public: + void init(const std::vector &quantiles, double window_seconds); + void count_event(double val); + std::string serialize(Metrics::Laziness laziness, const std::string &name, const std::vector> &labels); + +private: + std::vector quantiles; + std::chrono::duration window; mutable std::mutex mu; - std::map types; - std::vector metrics; - std::vector histograms; + std::deque> values; + std::atomic sum{0.0}; + std::atomic count{0}; }; extern Metrics global_metrics;