233 lines
7.9 KiB
C++
233 lines
7.9 KiB
C++
// Copyright 2017 Google Inc. All Rights Reserved.
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//
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// This file contains the declarations for the EventMetric class and related
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// types.
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#ifndef WVCDM_METRICS_EVENT_METRIC_H_
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#define WVCDM_METRICS_EVENT_METRIC_H_
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#include <cstdarg>
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#include <map>
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#include <string>
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#include <vector>
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#include "distribution.h"
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#include "field_tuples.h"
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#include "lock.h"
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#include "metric_serialization.h"
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namespace wvcdm {
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namespace metrics {
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class EventMetricTest;
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// This base class provides the common defintion used by all templated
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// instances of EventMetric.
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class BaseEventMetric : public MetricSerializable {
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public:
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// Send metric values to the MetricSerializer. |serializer| must
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// not be null and is owned by the caller.
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virtual void Serialize(MetricSerializer* serializer);
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protected:
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// Instantiates a BaseEventMetric.
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BaseEventMetric(const std::string& metric_name)
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: metric_name_(metric_name) {}
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virtual ~BaseEventMetric();
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// Record will look for an existing instance of the Distribution identified
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// by the field_names_values string and update it. If the instance does
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// not exist, this will create it.
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void Record(const std::string& field_names_values, double value);
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private:
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friend class EventMetricTest;
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const std::string metric_name_;
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// value_map_ contains a mapping from the field name/value pairs to the
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// distribution instance which holds the metric information (min, max, sum,
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// etc.).
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std::map<std::string, Distribution*> value_map_;
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/*
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* This locks the internal state of the event metric to ensure safety across
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* multiple threads preventing the caller from worrying about locking.
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*/
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Lock internal_lock_;
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};
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// This class converts the size_t value into the highest power of two
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// below the value. E.g. for 7, the value is 4. For 11, the value is 8.
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// This class is intended to simplify the use of EventMetric Fields that may
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// have many possible values, but we want to bucket them into a small set of
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// numbers (32 or 64).
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class Pow2Bucket {
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public:
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explicit Pow2Bucket(size_t value) : value_(GetLowerBucket(value)) {}
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Pow2Bucket(const Pow2Bucket& value) : value_(value.value_) {}
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// Support for converting to string.
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friend std::ostream& operator<<(std::ostream& os, const Pow2Bucket& log)
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{ return os << log.value_; }
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private:
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inline size_t GetLowerBucket(size_t value) {
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if (!value) {
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return 0;
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}
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size_t log = 0;
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while (value) {
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log++;
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value >>= 1;
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}
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return 1u << (log - 1);
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}
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size_t value_;
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};
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// The EventMetric class is used to capture statistics about an event such as
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// a method call. EventMetric keeps track of the count, mean, min, max and
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// variance for the value being measured. For example, we may want to track the
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// latency of a particular operation. Each time the operation is run, the time
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// is calculated and provided to the EventMetric by using the
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// EventMetric::Record method to capture and maintain statistics about the
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// latency (max, min, count, mean, variance).
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//
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// The EventMetric class supports the ability to breakdown the statistics based
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// on certain "field" values. For example, if a particular operation can run in
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// one of two modes, it's useful to track the latency of the operation in each
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// mode separately. You can use Fields to define how to breakdown the
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// statistics. Each Field is a separate dimension. The statistics for each
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// combination of field values are tracked independently.
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//
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// Example usage:
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//
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// EventMetric<int, int> my_metric("multiple/fields/metric",
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// "request_type", "error_code", // Field names);
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//
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// my_metric.Record(1, 7, 23); // (latency value, request type, error code).
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//
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// The EventMetric supports serialization. A call to Serialize will
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// serialize all values to the provided MetricsSerializer instance.
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//
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// example:
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//
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// class MyMetricSerializer : public MetricSerializer {
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// // Add implementation here.
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// }
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//
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// MyMetricSerializer serializer;
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// my_metric.Serialize(&serializer);
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//
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template<typename F1=util::Unused,
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typename F2=util::Unused,
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typename F3=util::Unused,
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typename F4=util::Unused>
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class EventMetric : public BaseEventMetric {
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public:
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// Create an EventMetric instance with the name |metric_name|.
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EventMetric(const std::string& metric_name);
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// Overloaded constructors with variable field name arguments. The number
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// of |field_name| arguments must match the number of used Field type
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// arguments.
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EventMetric(const std::string& metric_name,
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const char* field_name);
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EventMetric(const std::string& metric_name,
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const char* field_name1,
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const char* field_name2);
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EventMetric(const std::string& metric_name,
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const char* field_name1,
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const char* field_name2,
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const char* field_name3);
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EventMetric(const std::string& metric_name,
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const char* field_name1,
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const char* field_name2,
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const char* field_name3,
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const char* field_name4);
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// Record will update the statistics of the EventMetric broken down by the
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// given field values.
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void Record(double value,
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F1 field1 = util::Unused(),
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F2 field2 = util::Unused(),
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F3 field3 = util::Unused(),
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F4 field4 = util::Unused());
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private:
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friend class EventMetricTest;
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std::vector<std::string> field_names_;
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};
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// Overloaded template constructor implementations for EventMetric.
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template<typename F1, typename F2, typename F3, typename F4>
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EventMetric<F1, F2, F3, F4>::EventMetric(
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const std::string& metric_name)
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: BaseEventMetric(metric_name) {
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ASSERT_METRIC_UNUSED_START_FROM(1);
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}
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template<typename F1, typename F2, typename F3, typename F4>
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EventMetric<F1, F2, F3, F4>::EventMetric(
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const std::string& metric_name,
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const char* field_name)
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: BaseEventMetric(metric_name) {
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ASSERT_METRIC_UNUSED_START_FROM(2);
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util::AppendFieldNames(&field_names_,
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util::FirstUnusedType<F1, F2, F3, F4>::value - 1,
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field_name);
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}
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template<typename F1, typename F2, typename F3, typename F4>
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EventMetric<F1, F2, F3, F4>::EventMetric(
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const std::string& metric_name,
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const char* field_name1,
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const char* field_name2)
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: BaseEventMetric(metric_name) {
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ASSERT_METRIC_UNUSED_START_FROM(3);
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util::AppendFieldNames(&field_names_,
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util::FirstUnusedType<F1, F2, F3, F4>::value - 1,
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field_name1, field_name2);
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}
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template<typename F1, typename F2, typename F3, typename F4>
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EventMetric<F1, F2, F3, F4>::EventMetric(
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const std::string& metric_name,
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const char* field_name1,
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const char* field_name2,
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const char* field_name3)
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: BaseEventMetric(metric_name) {
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ASSERT_METRIC_UNUSED_START_FROM(4);
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util::AppendFieldNames(&field_names_,
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util::FirstUnusedType<F1, F2, F3, F4>::value - 1,
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field_name1, field_name2, field_name3);
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}
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template<typename F1, typename F2, typename F3, typename F4>
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EventMetric<F1, F2, F3, F4>::EventMetric(
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const std::string& metric_name,
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const char* field_name1,
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const char* field_name2,
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const char* field_name3,
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const char* field_name4)
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: BaseEventMetric(metric_name) {
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ASSERT_METRIC_UNUSED_START_FROM(5);
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util::AppendFieldNames(&field_names_,
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util::FirstUnusedType<F1, F2, F3, F4>::value - 1,
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field_name1, field_name2,
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field_name3, field_name4);
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}
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template<typename F1, typename F2, typename F3, typename F4>
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void EventMetric<F1, F2, F3, F4>::Record(
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double value, F1 field1, F2 field2, F3 field3, F4 field4) {
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std::string field_name_values =
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util::MakeFieldNameString(field_names_, field1, field2, field3, field4);
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BaseEventMetric::Record(field_name_values, value);
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}
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} // namespace metrics
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} // namespace wvcdm
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#endif // WVCDM_METRICS_EVENT_METRIC_H_
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