Change iteration order to avoid temporary map
This commit is contained in:
@@ -9,6 +9,7 @@
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#include <iostream>
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#include <iostream>
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#include <limits>
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#include <limits>
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#include <new>
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#include <new>
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#include <span>
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#include <type_traits>
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#include <type_traits>
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#include <typeinfo>
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#include <typeinfo>
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#include <utility>
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#include <utility>
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@@ -639,6 +640,12 @@ template <typename T> struct ArenaVector {
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void clear() { size_ = 0; }
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void clear() { size_ = 0; }
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// Implicit conversion to std::span
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operator std::span<T>() { return std::span<T>(data_, size_); }
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operator std::span<const T>() const {
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return std::span<const T>(data_, size_);
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}
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// Iterator support for range-based for loops
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// Iterator support for range-based for loops
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T *begin() { return data_; }
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T *begin() { return data_; }
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const T *begin() const { return data_; }
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const T *begin() const { return data_; }
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359
src/metric.cpp
359
src/metric.cpp
@@ -13,6 +13,7 @@
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#include <functional>
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#include <functional>
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#include <map>
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#include <map>
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#include <mutex>
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#include <mutex>
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#include <set>
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#include <string>
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#include <string>
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#include <thread>
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#include <thread>
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#include <type_traits>
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#include <type_traits>
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@@ -927,11 +928,83 @@ union MetricValue {
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uint64_t as_uint64;
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uint64_t as_uint64;
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};
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};
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// Label sets for each family type, built once and reused
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struct LabelSets {
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std::vector<
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std::set<LabelsKey, std::less<LabelsKey>, ArenaStlAllocator<LabelsKey>>>
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counter_labels;
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std::vector<
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std::set<LabelsKey, std::less<LabelsKey>, ArenaStlAllocator<LabelsKey>>>
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gauge_labels;
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std::vector<
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std::set<LabelsKey, std::less<LabelsKey>, ArenaStlAllocator<LabelsKey>>>
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histogram_labels;
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};
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// Build label sets once for reuse in both phases
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static LabelSets build_label_sets(ArenaAllocator &arena) {
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LabelSets label_sets;
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// Build counter label sets
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for (const auto &[name, family] : Metric::get_counter_families()) {
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std::set<LabelsKey, std::less<LabelsKey>, ArenaStlAllocator<LabelsKey>>
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all_labels{ArenaStlAllocator<LabelsKey>(&arena)};
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for (const auto &[thread_id, per_thread] : family->per_thread_state) {
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for (const auto &[labels_key, instance] : per_thread.instances) {
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all_labels.insert(labels_key);
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}
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}
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for (const auto &[labels_key, global_state] :
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family->global_accumulated_values) {
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if (global_state) {
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all_labels.insert(labels_key);
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}
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}
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label_sets.counter_labels.push_back(std::move(all_labels));
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}
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// Build gauge label sets (none needed - gauges iterate directly over
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// instances)
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for (const auto &[name, family] : Metric::get_gauge_families()) {
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(void)name;
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(void)family; // Suppress unused variable warnings
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std::set<LabelsKey, std::less<LabelsKey>, ArenaStlAllocator<LabelsKey>>
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empty_set{ArenaStlAllocator<LabelsKey>(&arena)};
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label_sets.gauge_labels.push_back(std::move(empty_set));
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}
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// Build histogram label sets
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for (const auto &[name, family] : Metric::get_histogram_families()) {
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std::set<LabelsKey, std::less<LabelsKey>, ArenaStlAllocator<LabelsKey>>
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all_labels{ArenaStlAllocator<LabelsKey>(&arena)};
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for (const auto &[thread_id, per_thread] : family->per_thread_state) {
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for (const auto &[labels_key, instance] : per_thread.instances) {
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all_labels.insert(labels_key);
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}
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}
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for (const auto &[labels_key, global_state] :
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family->global_accumulated_values) {
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if (global_state) {
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all_labels.insert(labels_key);
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}
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}
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label_sets.histogram_labels.push_back(std::move(all_labels));
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}
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return label_sets;
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}
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// Phase 1: Compute all metric values in deterministic order
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// Phase 1: Compute all metric values in deterministic order
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static ArenaVector<MetricValue> compute_metric_values(ArenaAllocator &arena) {
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static ArenaVector<MetricValue>
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compute_metric_values(ArenaAllocator &arena, const LabelSets &label_sets) {
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ArenaVector<MetricValue> values(&arena);
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ArenaVector<MetricValue> values(&arena);
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// Compute counter values - ITERATION ORDER MUST MATCH FORMAT PHASE
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// Compute counter values - ITERATION ORDER MUST MATCH FORMAT PHASE
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size_t counter_family_idx = 0;
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for (const auto &[name, family] : Metric::get_counter_families()) {
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for (const auto &[name, family] : Metric::get_counter_families()) {
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// Callback values
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// Callback values
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for (const auto &[labels_key, callback] : family->callbacks) {
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for (const auto &[labels_key, callback] : family->callbacks) {
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@@ -939,32 +1012,31 @@ static ArenaVector<MetricValue> compute_metric_values(ArenaAllocator &arena) {
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values.push_back({.as_double = value});
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values.push_back({.as_double = value});
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}
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}
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// Aggregate all counter values (thread-local + global accumulated)
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// Use pre-built label sets
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std::map<LabelsKey, double, std::less<LabelsKey>,
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const auto &all_labels = label_sets.counter_labels[counter_family_idx++];
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ArenaStlAllocator<std::pair<const LabelsKey, double>>>
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aggregated_values{
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ArenaStlAllocator<std::pair<const LabelsKey, double>>(&arena)};
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// First, add thread-local values
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// Iterate by label, lookup per thread (O(1) unordered_map lookup)
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for (const auto &[thread_id, per_thread] : family->per_thread_state) {
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for (const auto &labels_key : all_labels) {
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for (const auto &[labels_key, instance] : per_thread.instances) {
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double total_value = 0.0;
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// Atomic read to match atomic store in Counter::inc()
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double value;
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// Sum thread-local values for this label set
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__atomic_load(&instance->value, &value, __ATOMIC_RELAXED);
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for (const auto &[thread_id, per_thread] : family->per_thread_state) {
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aggregated_values[labels_key] += value;
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auto it = per_thread.instances.find(labels_key);
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if (it != per_thread.instances.end()) {
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// Atomic read to match atomic store in Counter::inc()
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double value;
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__atomic_load(&it->second->value, &value, __ATOMIC_RELAXED);
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total_value += value;
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}
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}
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}
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}
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// Then, add globally accumulated values from destroyed threads
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// Add global accumulated value for this label set
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for (const auto &[labels_key, global_state] :
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auto global_it = family->global_accumulated_values.find(labels_key);
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family->global_accumulated_values) {
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if (global_it != family->global_accumulated_values.end() &&
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if (global_state) {
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global_it->second) {
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aggregated_values[labels_key] += global_state->value;
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total_value += global_it->second->value;
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}
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}
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}
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// Store aggregated counter values
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for (const auto &[labels_key, total_value] : aggregated_values) {
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values.push_back({.as_double = total_value});
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values.push_back({.as_double = total_value});
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}
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}
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}
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}
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@@ -977,7 +1049,7 @@ static ArenaVector<MetricValue> compute_metric_values(ArenaAllocator &arena) {
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values.push_back({.as_double = value});
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values.push_back({.as_double = value});
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}
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}
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// Instance values
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// Instance values (gauges don't aggregate, just direct values)
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for (const auto &[labels_key, instance] : family->instances) {
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for (const auto &[labels_key, instance] : family->instances) {
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auto value = std::bit_cast<double>(
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auto value = std::bit_cast<double>(
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instance->value.load(std::memory_order_relaxed));
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instance->value.load(std::memory_order_relaxed));
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@@ -986,116 +1058,76 @@ static ArenaVector<MetricValue> compute_metric_values(ArenaAllocator &arena) {
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}
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}
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// Compute histogram values - ITERATION ORDER MUST MATCH FORMAT PHASE
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// Compute histogram values - ITERATION ORDER MUST MATCH FORMAT PHASE
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size_t histogram_family_idx = 0;
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for (const auto &[name, family] : Metric::get_histogram_families()) {
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for (const auto &[name, family] : Metric::get_histogram_families()) {
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// Aggregate all histogram values (thread-local + global accumulated)
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// Use pre-built label sets
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struct AggregatedHistogram {
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const auto &all_labels =
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ArenaVector<double> thresholds;
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label_sets.histogram_labels[histogram_family_idx++];
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ArenaVector<uint64_t> counts;
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double sum;
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uint64_t observations;
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AggregatedHistogram(ArenaAllocator &arena)
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// Iterate by label, lookup per thread (O(1) unordered_map lookup)
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: thresholds(&arena), counts(&arena), sum(0.0), observations(0) {}
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for (const auto &labels_key : all_labels) {
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};
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// Get bucket count from family config or first instance
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std::map<
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size_t bucket_count = family->buckets.size();
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LabelsKey, AggregatedHistogram *, std::less<LabelsKey>,
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ArenaStlAllocator<std::pair<const LabelsKey, AggregatedHistogram *>>>
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aggregated_histograms{ArenaStlAllocator<
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std::pair<const LabelsKey, AggregatedHistogram *>>(&arena)};
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// First, collect thread-local histogram data
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ArenaVector<uint64_t> total_counts(&arena);
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for (const auto &[thread_id, per_thread] : family->per_thread_state) {
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for (size_t i = 0; i < bucket_count; ++i) {
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for (const auto &[labels_key, instance] : per_thread.instances) {
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total_counts.push_back(0);
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// Extract data under lock - minimize critical section
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}
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ArenaVector<double> thresholds_snapshot(&arena);
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double total_sum = 0.0;
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ArenaVector<uint64_t> counts_snapshot(&arena);
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uint64_t total_observations = 0;
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double sum_snapshot;
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uint64_t observations_snapshot;
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// Copy data with minimal critical section
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// Sum thread-local values for this label set
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{
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for (const auto &[thread_id, per_thread] : family->per_thread_state) {
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std::lock_guard<std::mutex> lock(instance->mutex);
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auto it = per_thread.instances.find(labels_key);
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for (size_t i = 0; i < instance->thresholds.size(); ++i) {
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if (it != per_thread.instances.end()) {
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thresholds_snapshot.push_back(instance->thresholds[i]);
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auto *instance = it->second;
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// Extract data under lock - minimize critical section
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ArenaVector<uint64_t> counts_snapshot(&arena);
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double sum_snapshot;
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uint64_t observations_snapshot;
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{
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std::lock_guard<std::mutex> lock(instance->mutex);
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for (size_t i = 0; i < instance->counts.size(); ++i) {
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counts_snapshot.push_back(instance->counts[i]);
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}
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sum_snapshot = instance->sum;
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observations_snapshot = instance->observations;
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}
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}
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for (size_t i = 0; i < instance->counts.size(); ++i) {
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counts_snapshot.push_back(instance->counts[i]);
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}
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sum_snapshot = instance->sum;
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observations_snapshot = instance->observations;
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}
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// Initialize or aggregate into aggregated_histograms
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// Add to totals
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auto it = aggregated_histograms.find(labels_key);
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if (it == aggregated_histograms.end()) {
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// Create new entry
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auto *agg_hist = new (arena.allocate_raw(
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sizeof(AggregatedHistogram), alignof(AggregatedHistogram)))
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AggregatedHistogram(arena);
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for (size_t i = 0; i < thresholds_snapshot.size(); ++i) {
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agg_hist->thresholds.push_back(thresholds_snapshot[i]);
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}
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for (size_t i = 0; i < counts_snapshot.size(); ++i) {
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for (size_t i = 0; i < counts_snapshot.size(); ++i) {
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agg_hist->counts.push_back(counts_snapshot[i]);
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total_counts[i] += counts_snapshot[i];
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}
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}
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agg_hist->sum = sum_snapshot;
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total_sum += sum_snapshot;
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agg_hist->observations = observations_snapshot;
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total_observations += observations_snapshot;
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aggregated_histograms[labels_key] = agg_hist;
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} else {
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// Aggregate with existing entry
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auto *agg_hist = it->second;
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for (size_t i = 0; i < counts_snapshot.size(); ++i) {
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agg_hist->counts[i] += counts_snapshot[i];
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}
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agg_hist->sum += sum_snapshot;
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agg_hist->observations += observations_snapshot;
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}
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}
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}
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}
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}
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// Then, add globally accumulated values from destroyed threads
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// Add global accumulated value for this label set
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for (const auto &[labels_key, global_state] :
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auto global_it = family->global_accumulated_values.find(labels_key);
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family->global_accumulated_values) {
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if (global_it != family->global_accumulated_values.end() &&
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if (global_state) {
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global_it->second) {
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auto it = aggregated_histograms.find(labels_key);
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auto *global_state = global_it->second;
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if (it == aggregated_histograms.end()) {
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for (size_t i = 0; i < global_state->counts.size(); ++i) {
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// Create new entry from global state
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total_counts[i] += global_state->counts[i];
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auto *agg_hist = new (arena.allocate_raw(
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sizeof(AggregatedHistogram), alignof(AggregatedHistogram)))
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AggregatedHistogram(arena);
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for (size_t i = 0; i < global_state->thresholds.size(); ++i) {
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agg_hist->thresholds.push_back(global_state->thresholds[i]);
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}
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for (size_t i = 0; i < global_state->counts.size(); ++i) {
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agg_hist->counts.push_back(global_state->counts[i]);
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}
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agg_hist->sum = global_state->sum;
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agg_hist->observations = global_state->observations;
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aggregated_histograms[labels_key] = agg_hist;
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} else {
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// Add global accumulated values to existing entry
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auto *agg_hist = it->second;
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for (size_t i = 0; i < global_state->counts.size(); ++i) {
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agg_hist->counts[i] += global_state->counts[i];
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}
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agg_hist->sum += global_state->sum;
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agg_hist->observations += global_state->observations;
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}
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}
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total_sum += global_state->sum;
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total_observations += global_state->observations;
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}
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}
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}
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// Store histogram values
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// Store histogram values
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for (const auto &[labels_key, agg_hist] : aggregated_histograms) {
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// Store explicit bucket counts
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// Store explicit bucket counts
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for (size_t i = 0; i < agg_hist->thresholds.size(); ++i) {
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for (size_t i = 0; i < total_counts.size(); ++i) {
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values.push_back({.as_uint64 = agg_hist->counts[i]});
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values.push_back({.as_uint64 = total_counts[i]});
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}
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}
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// Store +Inf bucket (total observations)
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// Store +Inf bucket (total observations)
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values.push_back({.as_uint64 = agg_hist->observations});
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values.push_back({.as_uint64 = total_observations});
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// Store sum
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// Store sum
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values.push_back({.as_double = agg_hist->sum});
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values.push_back({.as_double = total_sum});
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// Store count
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// Store count
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values.push_back({.as_uint64 = agg_hist->observations});
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values.push_back({.as_uint64 = total_observations});
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}
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}
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}
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}
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@@ -1107,8 +1139,12 @@ std::span<std::string_view> render(ArenaAllocator &arena) {
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// Hold lock throughout both phases to prevent registry changes
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// Hold lock throughout both phases to prevent registry changes
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std::unique_lock<std::mutex> _{Metric::mutex};
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std::unique_lock<std::mutex> _{Metric::mutex};
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// Build label sets once for both phases
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LabelSets label_sets = build_label_sets(arena);
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// Phase 1: Compute all metric values
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// Phase 1: Compute all metric values
|
||||||
ArenaVector<MetricValue> metric_values = compute_metric_values(arena);
|
ArenaVector<MetricValue> metric_values =
|
||||||
|
compute_metric_values(arena, label_sets);
|
||||||
const MetricValue *next_value = metric_values.data();
|
const MetricValue *next_value = metric_values.data();
|
||||||
|
|
||||||
ArenaVector<std::string_view> output(&arena);
|
ArenaVector<std::string_view> output(&arena);
|
||||||
@@ -1170,6 +1206,7 @@ std::span<std::string_view> render(ArenaAllocator &arena) {
|
|||||||
};
|
};
|
||||||
|
|
||||||
// Format counters - ITERATION ORDER MUST MATCH COMPUTE PHASE
|
// Format counters - ITERATION ORDER MUST MATCH COMPUTE PHASE
|
||||||
|
size_t counter_family_idx = 0;
|
||||||
for (const auto &[name, family] : Metric::get_counter_families()) {
|
for (const auto &[name, family] : Metric::get_counter_families()) {
|
||||||
output.push_back(format(arena, "# HELP %.*s %.*s\n",
|
output.push_back(format(arena, "# HELP %.*s %.*s\n",
|
||||||
static_cast<int>(name.length()), name.data(),
|
static_cast<int>(name.length()), name.data(),
|
||||||
@@ -1195,28 +1232,11 @@ std::span<std::string_view> render(ArenaAllocator &arena) {
|
|||||||
value));
|
value));
|
||||||
}
|
}
|
||||||
|
|
||||||
// Recreate aggregated values map for iteration order
|
// Use pre-built label sets (same as compute phase)
|
||||||
std::map<LabelsKey, double, std::less<LabelsKey>,
|
const auto &all_labels = label_sets.counter_labels[counter_family_idx++];
|
||||||
ArenaStlAllocator<std::pair<const LabelsKey, double>>>
|
|
||||||
aggregated_values{
|
|
||||||
ArenaStlAllocator<std::pair<const LabelsKey, double>>(&arena)};
|
|
||||||
|
|
||||||
// Populate map to get same iteration order (values ignored, using
|
// Format counter values using pre-computed values
|
||||||
// pre-computed)
|
for (const auto &labels_key : all_labels) {
|
||||||
for (const auto &[thread_id, per_thread] : family->per_thread_state) {
|
|
||||||
for (const auto &[labels_key, instance] : per_thread.instances) {
|
|
||||||
aggregated_values[labels_key] = 0.0; // Placeholder
|
|
||||||
}
|
|
||||||
}
|
|
||||||
for (const auto &[labels_key, global_state] :
|
|
||||||
family->global_accumulated_values) {
|
|
||||||
if (global_state) {
|
|
||||||
aggregated_values[labels_key] = 0.0; // Placeholder
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
// Format aggregated counter values
|
|
||||||
for (const auto &[labels_key, ignored_value] : aggregated_values) {
|
|
||||||
auto total_value = next_value++->as_double;
|
auto total_value = next_value++->as_double;
|
||||||
labels_sv.clear();
|
labels_sv.clear();
|
||||||
for (size_t i = 0; i < labels_key.labels.size(); ++i) {
|
for (size_t i = 0; i < labels_key.labels.size(); ++i) {
|
||||||
@@ -1272,6 +1292,7 @@ std::span<std::string_view> render(ArenaAllocator &arena) {
|
|||||||
}
|
}
|
||||||
|
|
||||||
// Format histograms - ITERATION ORDER MUST MATCH COMPUTE PHASE
|
// Format histograms - ITERATION ORDER MUST MATCH COMPUTE PHASE
|
||||||
|
size_t histogram_family_idx = 0;
|
||||||
for (const auto &[name, family] : Metric::get_histogram_families()) {
|
for (const auto &[name, family] : Metric::get_histogram_families()) {
|
||||||
output.push_back(format(arena, "# HELP %.*s %.*s\n",
|
output.push_back(format(arena, "# HELP %.*s %.*s\n",
|
||||||
static_cast<int>(name.length()), name.data(),
|
static_cast<int>(name.length()), name.data(),
|
||||||
@@ -1280,71 +1301,27 @@ std::span<std::string_view> render(ArenaAllocator &arena) {
|
|||||||
output.push_back(format(arena, "# TYPE %.*s histogram\n",
|
output.push_back(format(arena, "# TYPE %.*s histogram\n",
|
||||||
static_cast<int>(name.length()), name.data()));
|
static_cast<int>(name.length()), name.data()));
|
||||||
|
|
||||||
// Recreate aggregated histograms map for iteration order
|
// Use pre-built label sets (same as compute phase)
|
||||||
struct AggregatedHistogram {
|
const auto &all_labels =
|
||||||
ArenaVector<double> thresholds;
|
label_sets.histogram_labels[histogram_family_idx++];
|
||||||
ArenaVector<uint64_t> counts;
|
|
||||||
double sum;
|
|
||||||
uint64_t observations;
|
|
||||||
|
|
||||||
AggregatedHistogram(ArenaAllocator &arena)
|
|
||||||
: thresholds(&arena), counts(&arena), sum(0.0), observations(0) {}
|
|
||||||
};
|
|
||||||
std::map<
|
|
||||||
LabelsKey, AggregatedHistogram *, std::less<LabelsKey>,
|
|
||||||
ArenaStlAllocator<std::pair<const LabelsKey, AggregatedHistogram *>>>
|
|
||||||
aggregated_histograms{ArenaStlAllocator<
|
|
||||||
std::pair<const LabelsKey, AggregatedHistogram *>>(&arena)};
|
|
||||||
|
|
||||||
// Recreate map structure for iteration order (recompute thresholds for
|
|
||||||
// formatting)
|
|
||||||
for (const auto &[thread_id, per_thread] : family->per_thread_state) {
|
|
||||||
for (const auto &[labels_key, instance] : per_thread.instances) {
|
|
||||||
auto it = aggregated_histograms.find(labels_key);
|
|
||||||
if (it == aggregated_histograms.end()) {
|
|
||||||
auto *agg_hist = new (arena.allocate_raw(
|
|
||||||
sizeof(AggregatedHistogram), alignof(AggregatedHistogram)))
|
|
||||||
AggregatedHistogram(arena);
|
|
||||||
// Copy thresholds for le= formatting
|
|
||||||
std::lock_guard<std::mutex> lock(instance->mutex);
|
|
||||||
for (size_t i = 0; i < instance->thresholds.size(); ++i) {
|
|
||||||
agg_hist->thresholds.push_back(instance->thresholds[i]);
|
|
||||||
}
|
|
||||||
aggregated_histograms[labels_key] = agg_hist;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
for (const auto &[labels_key, global_state] :
|
|
||||||
family->global_accumulated_values) {
|
|
||||||
if (global_state) {
|
|
||||||
auto it = aggregated_histograms.find(labels_key);
|
|
||||||
if (it == aggregated_histograms.end()) {
|
|
||||||
auto *agg_hist = new (arena.allocate_raw(
|
|
||||||
sizeof(AggregatedHistogram), alignof(AggregatedHistogram)))
|
|
||||||
AggregatedHistogram(arena);
|
|
||||||
// Copy thresholds for le= formatting
|
|
||||||
for (size_t i = 0; i < global_state->thresholds.size(); ++i) {
|
|
||||||
agg_hist->thresholds.push_back(global_state->thresholds[i]);
|
|
||||||
}
|
|
||||||
aggregated_histograms[labels_key] = agg_hist;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
ArenaVector<std::pair<std::string_view, std::string_view>> bucket_labels_sv(
|
ArenaVector<std::pair<std::string_view, std::string_view>> bucket_labels_sv(
|
||||||
&arena);
|
&arena);
|
||||||
|
|
||||||
// Format histogram data using pre-computed values
|
// Format histogram data using pre-computed values
|
||||||
for (const auto &[labels_key, agg_hist] : aggregated_histograms) {
|
for (const auto &labels_key : all_labels) {
|
||||||
|
// Get bucket thresholds from family config
|
||||||
|
size_t bucket_count = family->buckets.size();
|
||||||
|
|
||||||
// Format explicit bucket counts
|
// Format explicit bucket counts
|
||||||
for (size_t i = 0; i < agg_hist->thresholds.size(); ++i) {
|
for (size_t i = 0; i < bucket_count; ++i) {
|
||||||
auto count = next_value++->as_uint64;
|
auto count = next_value++->as_uint64;
|
||||||
bucket_labels_sv.clear();
|
bucket_labels_sv.clear();
|
||||||
for (size_t j = 0; j < labels_key.labels.size(); ++j) {
|
for (size_t j = 0; j < labels_key.labels.size(); ++j) {
|
||||||
bucket_labels_sv.push_back(labels_key.labels[j]);
|
bucket_labels_sv.push_back(labels_key.labels[j]);
|
||||||
}
|
}
|
||||||
bucket_labels_sv.push_back(
|
bucket_labels_sv.push_back(
|
||||||
{"le", static_format(arena, agg_hist->thresholds[i])});
|
{"le", static_format(arena, family->buckets[i])});
|
||||||
auto labels = format_labels(bucket_labels_sv);
|
auto labels = format_labels(bucket_labels_sv);
|
||||||
output.push_back(format(
|
output.push_back(format(
|
||||||
arena, "%.*s_bucket%.*s %llu\n", static_cast<int>(name.length()),
|
arena, "%.*s_bucket%.*s %llu\n", static_cast<int>(name.length()),
|
||||||
@@ -1385,9 +1362,7 @@ std::span<std::string_view> render(ArenaAllocator &arena) {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
auto result = arena.allocate<std::string_view>(output.size());
|
return output;
|
||||||
std::copy(output.data(), output.data() + output.size(), result);
|
|
||||||
return std::span<std::string_view>(result, output.size());
|
|
||||||
}
|
}
|
||||||
|
|
||||||
// Template specialization implementations for register_callback
|
// Template specialization implementations for register_callback
|
||||||
|
|||||||
Reference in New Issue
Block a user