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// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
#ifdef ENABLE_METRICS_PREVIEW
# include "opentelemetry/sdk/_metrics/aggregator/histogram_aggregator.h"
# include <gtest/gtest.h>
# include <iostream>
# include <numeric>
# include <thread>
// #include <chrono>
namespace metrics_api = opentelemetry::metrics;
OPENTELEMETRY_BEGIN_NAMESPACE
namespace sdk
{
namespace metrics
{
// Test updating with a uniform set of updates
TEST(Histogram, Uniform)
{
std::vector<double> boundaries{10, 20, 30, 40, 50};
HistogramAggregator<int> alpha(metrics_api::InstrumentKind::Counter, boundaries);
EXPECT_EQ(alpha.get_aggregator_kind(), AggregatorKind::Histogram);
alpha.checkpoint();
EXPECT_EQ(alpha.get_checkpoint().size(), 2);
EXPECT_EQ(alpha.get_counts().size(), 6);
for (int i = 0; i < 60; i++)
{
alpha.update(i);
}
alpha.checkpoint();
EXPECT_EQ(alpha.get_checkpoint()[0], 1770);
EXPECT_EQ(alpha.get_checkpoint()[1], 60);
std::vector<int> correct = {10, 10, 10, 10, 10, 10};
EXPECT_EQ(alpha.get_counts(), correct);
}
// Test updating with a normal distribution
TEST(Histogram, Normal)
{
std::vector<double> boundaries{2, 4, 6, 8, 10, 12};
HistogramAggregator<int> alpha(metrics_api::InstrumentKind::Counter, boundaries);
std::vector<int> vals{1, 3, 3, 5, 5, 5, 7, 7, 7, 7, 9, 9, 9, 11, 11, 13};
for (int i : vals)
{
alpha.update(i);
}
alpha.checkpoint();
EXPECT_EQ(alpha.get_checkpoint()[0], std::accumulate(vals.begin(), vals.end(), 0));
EXPECT_EQ(alpha.get_checkpoint()[1], vals.size());
std::vector<int> correct = {1, 2, 3, 4, 3, 2, 1};
EXPECT_EQ(alpha.get_counts(), correct);
}
TEST(Histogram, Merge)
{
std::vector<double> boundaries{2, 4, 6, 8, 10, 12};
HistogramAggregator<int> alpha(metrics_api::InstrumentKind::Counter, boundaries);
HistogramAggregator<int> beta(metrics_api::InstrumentKind::Counter, boundaries);
std::vector<int> vals{1, 3, 3, 5, 5, 5, 7, 7, 7, 7, 9, 9, 9, 11, 11, 13};
for (int i : vals)
{
alpha.update(i);
}
std::vector<int> otherVals{1, 1, 1, 1, 11, 11, 13, 13, 13, 15};
for (int i : otherVals)
{
beta.update(i);
}
alpha.merge(beta);
alpha.checkpoint();
EXPECT_EQ(alpha.get_checkpoint()[0], std::accumulate(vals.begin(), vals.end(), 0) +
std::accumulate(otherVals.begin(), otherVals.end(), 0));
EXPECT_EQ(alpha.get_checkpoint()[1], vals.size() + otherVals.size());
std::vector<int> correct = {5, 2, 3, 4, 3, 4, 5};
EXPECT_EQ(alpha.get_counts(), correct);
}
// Update callback used to validate multi-threaded performance
void histogramUpdateCallback(Aggregator<int> &agg, std::vector<int> vals)
{
for (int i : vals)
{
agg.update(i);
}
}
int randVal()
{
return rand() % 15;
}
TEST(Histogram, Concurrency)
{
std::vector<double> boundaries{2, 4, 6, 8, 10, 12};
HistogramAggregator<int> alpha(metrics_api::InstrumentKind::Counter, boundaries);
std::vector<int> vals1(1000);
std::generate(vals1.begin(), vals1.end(), randVal);
std::vector<int> vals2(1000);
std::generate(vals2.begin(), vals2.end(), randVal);
std::thread first(histogramUpdateCallback, std::ref(alpha), vals1);
std::thread second(histogramUpdateCallback, std::ref(alpha), vals2);
first.join();
second.join();
HistogramAggregator<int> beta(metrics_api::InstrumentKind::Counter, boundaries);
// Timing harness to compare linear and binary insertion
// auto start = std::chrono::system_clock::now();
for (int i : vals1)
{
beta.update(i);
}
for (int i : vals2)
{
beta.update(i);
}
// auto end = std::chrono::system_clock::now();
// auto elapsed = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start);
// std::cout <<"Update time: " <<elapsed.count() <<std::endl;
alpha.checkpoint();
beta.checkpoint();
EXPECT_EQ(alpha.get_checkpoint(), beta.get_checkpoint());
EXPECT_EQ(alpha.get_counts(), beta.get_counts());
}
# if __EXCEPTIONS
TEST(Histogram, Errors)
{
std::vector<double> boundaries{2, 4, 6, 8, 10, 12};
std::vector<double> boundaries2{1, 4, 6, 8, 10, 12};
std::vector<double> unsortedBoundaries{10, 12, 4, 6, 8};
EXPECT_ANY_THROW(
HistogramAggregator<int> alpha(metrics_api::InstrumentKind::Counter, unsortedBoundaries));
HistogramAggregator<int> beta(metrics_api::InstrumentKind::Counter, boundaries);
HistogramAggregator<int> gamma(metrics_api::InstrumentKind::Counter, boundaries2);
EXPECT_ANY_THROW(beta.merge(gamma));
}
# endif
} // namespace metrics
} // namespace sdk
OPENTELEMETRY_END_NAMESPACE
#endif
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