e9e0101ca4
Summary: There are too many types of files under util/. Some test related files don't belong to there or just are just loosely related. Mo ve them to a new directory test_util/, so that util/ is cleaner. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5377 Differential Revision: D15551366 Pulled By: siying fbshipit-source-id: 0f5c8653832354ef8caa31749c0143815d719e2c
222 lines
7.1 KiB
C++
222 lines
7.1 KiB
C++
// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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//
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#include <cmath>
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#include "monitoring/histogram.h"
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#include "monitoring/histogram_windowing.h"
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#include "test_util/testharness.h"
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namespace rocksdb {
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class HistogramTest : public testing::Test {};
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namespace {
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const double kIota = 0.1;
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const HistogramBucketMapper bucketMapper;
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Env* env = Env::Default();
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}
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void PopulateHistogram(Histogram& histogram,
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uint64_t low, uint64_t high, uint64_t loop = 1) {
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for (; loop > 0; loop--) {
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for (uint64_t i = low; i <= high; i++) {
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histogram.Add(i);
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}
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}
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}
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void BasicOperation(Histogram& histogram) {
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PopulateHistogram(histogram, 1, 110, 10); // fill up to bucket [70, 110)
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HistogramData data;
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histogram.Data(&data);
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ASSERT_LE(fabs(histogram.Percentile(100.0) - 110.0), kIota);
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ASSERT_LE(fabs(data.percentile99 - 108.9), kIota); // 99 * 110 / 100
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ASSERT_LE(fabs(data.percentile95 - 104.5), kIota); // 95 * 110 / 100
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ASSERT_LE(fabs(data.median - 55.0), kIota); // 50 * 110 / 100
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ASSERT_EQ(data.average, 55.5); // (1 + 110) / 2
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}
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void MergeHistogram(Histogram& histogram, Histogram& other) {
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PopulateHistogram(histogram, 1, 100);
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PopulateHistogram(other, 101, 250);
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histogram.Merge(other);
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HistogramData data;
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histogram.Data(&data);
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ASSERT_LE(fabs(histogram.Percentile(100.0) - 250.0), kIota);
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ASSERT_LE(fabs(data.percentile99 - 247.5), kIota); // 99 * 250 / 100
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ASSERT_LE(fabs(data.percentile95 - 237.5), kIota); // 95 * 250 / 100
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ASSERT_LE(fabs(data.median - 125.0), kIota); // 50 * 250 / 100
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ASSERT_EQ(data.average, 125.5); // (1 + 250) / 2
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}
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void EmptyHistogram(Histogram& histogram) {
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ASSERT_EQ(histogram.min(), bucketMapper.LastValue());
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ASSERT_EQ(histogram.max(), 0);
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ASSERT_EQ(histogram.num(), 0);
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ASSERT_EQ(histogram.Median(), 0.0);
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ASSERT_EQ(histogram.Percentile(85.0), 0.0);
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ASSERT_EQ(histogram.Average(), 0.0);
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ASSERT_EQ(histogram.StandardDeviation(), 0.0);
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}
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void ClearHistogram(Histogram& histogram) {
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for (uint64_t i = 1; i <= 100; i++) {
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histogram.Add(i);
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}
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histogram.Clear();
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ASSERT_TRUE(histogram.Empty());
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ASSERT_EQ(histogram.Median(), 0);
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ASSERT_EQ(histogram.Percentile(85.0), 0);
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ASSERT_EQ(histogram.Average(), 0);
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}
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TEST_F(HistogramTest, BasicOperation) {
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HistogramImpl histogram;
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BasicOperation(histogram);
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HistogramWindowingImpl histogramWindowing;
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BasicOperation(histogramWindowing);
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}
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TEST_F(HistogramTest, BoundaryValue) {
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HistogramImpl histogram;
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// - both should be in [0, 1] bucket because we place values on bucket
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// boundaries in the lower bucket.
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// - all points are in [0, 1] bucket, so p50 will be 0.5
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// - the test cannot be written with a single point since histogram won't
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// report percentiles lower than the min or greater than the max.
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histogram.Add(0);
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histogram.Add(1);
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ASSERT_LE(fabs(histogram.Percentile(50.0) - 0.5), kIota);
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}
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TEST_F(HistogramTest, MergeHistogram) {
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HistogramImpl histogram;
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HistogramImpl other;
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MergeHistogram(histogram, other);
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HistogramWindowingImpl histogramWindowing;
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HistogramWindowingImpl otherWindowing;
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MergeHistogram(histogramWindowing, otherWindowing);
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}
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TEST_F(HistogramTest, EmptyHistogram) {
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HistogramImpl histogram;
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EmptyHistogram(histogram);
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HistogramWindowingImpl histogramWindowing;
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EmptyHistogram(histogramWindowing);
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}
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TEST_F(HistogramTest, ClearHistogram) {
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HistogramImpl histogram;
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ClearHistogram(histogram);
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HistogramWindowingImpl histogramWindowing;
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ClearHistogram(histogramWindowing);
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}
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TEST_F(HistogramTest, HistogramWindowingExpire) {
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uint64_t num_windows = 3;
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int micros_per_window = 1000000;
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uint64_t min_num_per_window = 0;
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HistogramWindowingImpl
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histogramWindowing(num_windows, micros_per_window, min_num_per_window);
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PopulateHistogram(histogramWindowing, 1, 1, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 100);
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ASSERT_EQ(histogramWindowing.min(), 1);
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ASSERT_EQ(histogramWindowing.max(), 1);
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ASSERT_EQ(histogramWindowing.Average(), 1);
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PopulateHistogram(histogramWindowing, 2, 2, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 200);
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ASSERT_EQ(histogramWindowing.min(), 1);
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ASSERT_EQ(histogramWindowing.max(), 2);
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ASSERT_EQ(histogramWindowing.Average(), 1.5);
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PopulateHistogram(histogramWindowing, 3, 3, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 300);
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ASSERT_EQ(histogramWindowing.min(), 1);
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ASSERT_EQ(histogramWindowing.max(), 3);
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ASSERT_EQ(histogramWindowing.Average(), 2.0);
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// dropping oldest window with value 1, remaining 2 ~ 4
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PopulateHistogram(histogramWindowing, 4, 4, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 300);
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ASSERT_EQ(histogramWindowing.min(), 2);
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ASSERT_EQ(histogramWindowing.max(), 4);
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ASSERT_EQ(histogramWindowing.Average(), 3.0);
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// dropping oldest window with value 2, remaining 3 ~ 5
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PopulateHistogram(histogramWindowing, 5, 5, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 300);
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ASSERT_EQ(histogramWindowing.min(), 3);
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ASSERT_EQ(histogramWindowing.max(), 5);
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ASSERT_EQ(histogramWindowing.Average(), 4.0);
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}
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TEST_F(HistogramTest, HistogramWindowingMerge) {
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uint64_t num_windows = 3;
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int micros_per_window = 1000000;
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uint64_t min_num_per_window = 0;
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HistogramWindowingImpl
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histogramWindowing(num_windows, micros_per_window, min_num_per_window);
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HistogramWindowingImpl
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otherWindowing(num_windows, micros_per_window, min_num_per_window);
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PopulateHistogram(histogramWindowing, 1, 1, 100);
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PopulateHistogram(otherWindowing, 1, 1, 100);
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env->SleepForMicroseconds(micros_per_window);
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PopulateHistogram(histogramWindowing, 2, 2, 100);
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PopulateHistogram(otherWindowing, 2, 2, 100);
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env->SleepForMicroseconds(micros_per_window);
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PopulateHistogram(histogramWindowing, 3, 3, 100);
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PopulateHistogram(otherWindowing, 3, 3, 100);
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env->SleepForMicroseconds(micros_per_window);
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histogramWindowing.Merge(otherWindowing);
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ASSERT_EQ(histogramWindowing.num(), 600);
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ASSERT_EQ(histogramWindowing.min(), 1);
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ASSERT_EQ(histogramWindowing.max(), 3);
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ASSERT_EQ(histogramWindowing.Average(), 2.0);
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// dropping oldest window with value 1, remaining 2 ~ 4
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PopulateHistogram(histogramWindowing, 4, 4, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 500);
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ASSERT_EQ(histogramWindowing.min(), 2);
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ASSERT_EQ(histogramWindowing.max(), 4);
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// dropping oldest window with value 2, remaining 3 ~ 5
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PopulateHistogram(histogramWindowing, 5, 5, 100);
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env->SleepForMicroseconds(micros_per_window);
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ASSERT_EQ(histogramWindowing.num(), 400);
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ASSERT_EQ(histogramWindowing.min(), 3);
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ASSERT_EQ(histogramWindowing.max(), 5);
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}
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} // namespace rocksdb
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int main(int argc, char** argv) {
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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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