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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 18:45:59 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 18:45:59 +0000
commit19fcec84d8d7d21e796c7624e521b60d28ee21ed (patch)
tree42d26aa27d1e3f7c0b8bd3fd14e7d7082f5008dc /src/rocksdb/monitoring/histogram_test.cc
parentInitial commit. (diff)
downloadceph-upstream/16.2.11+ds.tar.xz
ceph-upstream/16.2.11+ds.zip
Adding upstream version 16.2.11+ds.upstream/16.2.11+dsupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'src/rocksdb/monitoring/histogram_test.cc')
-rw-r--r--src/rocksdb/monitoring/histogram_test.cc221
1 files changed, 221 insertions, 0 deletions
diff --git a/src/rocksdb/monitoring/histogram_test.cc b/src/rocksdb/monitoring/histogram_test.cc
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+++ b/src/rocksdb/monitoring/histogram_test.cc
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+// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
+// This source code is licensed under both the GPLv2 (found in the
+// COPYING file in the root directory) and Apache 2.0 License
+// (found in the LICENSE.Apache file in the root directory).
+//
+#include <cmath>
+
+#include "monitoring/histogram.h"
+#include "monitoring/histogram_windowing.h"
+#include "test_util/testharness.h"
+
+namespace ROCKSDB_NAMESPACE {
+
+class HistogramTest : public testing::Test {};
+
+namespace {
+ const double kIota = 0.1;
+ const HistogramBucketMapper bucketMapper;
+ Env* env = Env::Default();
+}
+
+void PopulateHistogram(Histogram& histogram,
+ uint64_t low, uint64_t high, uint64_t loop = 1) {
+ for (; loop > 0; loop--) {
+ for (uint64_t i = low; i <= high; i++) {
+ histogram.Add(i);
+ }
+ }
+}
+
+void BasicOperation(Histogram& histogram) {
+ PopulateHistogram(histogram, 1, 110, 10); // fill up to bucket [70, 110)
+
+ HistogramData data;
+ histogram.Data(&data);
+
+ ASSERT_LE(fabs(histogram.Percentile(100.0) - 110.0), kIota);
+ ASSERT_LE(fabs(data.percentile99 - 108.9), kIota); // 99 * 110 / 100
+ ASSERT_LE(fabs(data.percentile95 - 104.5), kIota); // 95 * 110 / 100
+ ASSERT_LE(fabs(data.median - 55.0), kIota); // 50 * 110 / 100
+ ASSERT_EQ(data.average, 55.5); // (1 + 110) / 2
+}
+
+void MergeHistogram(Histogram& histogram, Histogram& other) {
+ PopulateHistogram(histogram, 1, 100);
+ PopulateHistogram(other, 101, 250);
+ histogram.Merge(other);
+
+ HistogramData data;
+ histogram.Data(&data);
+
+ ASSERT_LE(fabs(histogram.Percentile(100.0) - 250.0), kIota);
+ ASSERT_LE(fabs(data.percentile99 - 247.5), kIota); // 99 * 250 / 100
+ ASSERT_LE(fabs(data.percentile95 - 237.5), kIota); // 95 * 250 / 100
+ ASSERT_LE(fabs(data.median - 125.0), kIota); // 50 * 250 / 100
+ ASSERT_EQ(data.average, 125.5); // (1 + 250) / 2
+}
+
+void EmptyHistogram(Histogram& histogram) {
+ ASSERT_EQ(histogram.min(), bucketMapper.LastValue());
+ ASSERT_EQ(histogram.max(), 0);
+ ASSERT_EQ(histogram.num(), 0);
+ ASSERT_EQ(histogram.Median(), 0.0);
+ ASSERT_EQ(histogram.Percentile(85.0), 0.0);
+ ASSERT_EQ(histogram.Average(), 0.0);
+ ASSERT_EQ(histogram.StandardDeviation(), 0.0);
+}
+
+void ClearHistogram(Histogram& histogram) {
+ for (uint64_t i = 1; i <= 100; i++) {
+ histogram.Add(i);
+ }
+ histogram.Clear();
+ ASSERT_TRUE(histogram.Empty());
+ ASSERT_EQ(histogram.Median(), 0);
+ ASSERT_EQ(histogram.Percentile(85.0), 0);
+ ASSERT_EQ(histogram.Average(), 0);
+}
+
+TEST_F(HistogramTest, BasicOperation) {
+ HistogramImpl histogram;
+ BasicOperation(histogram);
+
+ HistogramWindowingImpl histogramWindowing;
+ BasicOperation(histogramWindowing);
+}
+
+TEST_F(HistogramTest, BoundaryValue) {
+ HistogramImpl histogram;
+ // - both should be in [0, 1] bucket because we place values on bucket
+ // boundaries in the lower bucket.
+ // - all points are in [0, 1] bucket, so p50 will be 0.5
+ // - the test cannot be written with a single point since histogram won't
+ // report percentiles lower than the min or greater than the max.
+ histogram.Add(0);
+ histogram.Add(1);
+
+ ASSERT_LE(fabs(histogram.Percentile(50.0) - 0.5), kIota);
+}
+
+TEST_F(HistogramTest, MergeHistogram) {
+ HistogramImpl histogram;
+ HistogramImpl other;
+ MergeHistogram(histogram, other);
+
+ HistogramWindowingImpl histogramWindowing;
+ HistogramWindowingImpl otherWindowing;
+ MergeHistogram(histogramWindowing, otherWindowing);
+}
+
+TEST_F(HistogramTest, EmptyHistogram) {
+ HistogramImpl histogram;
+ EmptyHistogram(histogram);
+
+ HistogramWindowingImpl histogramWindowing;
+ EmptyHistogram(histogramWindowing);
+}
+
+TEST_F(HistogramTest, ClearHistogram) {
+ HistogramImpl histogram;
+ ClearHistogram(histogram);
+
+ HistogramWindowingImpl histogramWindowing;
+ ClearHistogram(histogramWindowing);
+}
+
+TEST_F(HistogramTest, HistogramWindowingExpire) {
+ uint64_t num_windows = 3;
+ int micros_per_window = 1000000;
+ uint64_t min_num_per_window = 0;
+
+ HistogramWindowingImpl
+ histogramWindowing(num_windows, micros_per_window, min_num_per_window);
+
+ PopulateHistogram(histogramWindowing, 1, 1, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 100);
+ ASSERT_EQ(histogramWindowing.min(), 1);
+ ASSERT_EQ(histogramWindowing.max(), 1);
+ ASSERT_EQ(histogramWindowing.Average(), 1);
+
+ PopulateHistogram(histogramWindowing, 2, 2, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 200);
+ ASSERT_EQ(histogramWindowing.min(), 1);
+ ASSERT_EQ(histogramWindowing.max(), 2);
+ ASSERT_EQ(histogramWindowing.Average(), 1.5);
+
+ PopulateHistogram(histogramWindowing, 3, 3, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 300);
+ ASSERT_EQ(histogramWindowing.min(), 1);
+ ASSERT_EQ(histogramWindowing.max(), 3);
+ ASSERT_EQ(histogramWindowing.Average(), 2.0);
+
+ // dropping oldest window with value 1, remaining 2 ~ 4
+ PopulateHistogram(histogramWindowing, 4, 4, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 300);
+ ASSERT_EQ(histogramWindowing.min(), 2);
+ ASSERT_EQ(histogramWindowing.max(), 4);
+ ASSERT_EQ(histogramWindowing.Average(), 3.0);
+
+ // dropping oldest window with value 2, remaining 3 ~ 5
+ PopulateHistogram(histogramWindowing, 5, 5, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 300);
+ ASSERT_EQ(histogramWindowing.min(), 3);
+ ASSERT_EQ(histogramWindowing.max(), 5);
+ ASSERT_EQ(histogramWindowing.Average(), 4.0);
+}
+
+TEST_F(HistogramTest, HistogramWindowingMerge) {
+ uint64_t num_windows = 3;
+ int micros_per_window = 1000000;
+ uint64_t min_num_per_window = 0;
+
+ HistogramWindowingImpl
+ histogramWindowing(num_windows, micros_per_window, min_num_per_window);
+ HistogramWindowingImpl
+ otherWindowing(num_windows, micros_per_window, min_num_per_window);
+
+ PopulateHistogram(histogramWindowing, 1, 1, 100);
+ PopulateHistogram(otherWindowing, 1, 1, 100);
+ env->SleepForMicroseconds(micros_per_window);
+
+ PopulateHistogram(histogramWindowing, 2, 2, 100);
+ PopulateHistogram(otherWindowing, 2, 2, 100);
+ env->SleepForMicroseconds(micros_per_window);
+
+ PopulateHistogram(histogramWindowing, 3, 3, 100);
+ PopulateHistogram(otherWindowing, 3, 3, 100);
+ env->SleepForMicroseconds(micros_per_window);
+
+ histogramWindowing.Merge(otherWindowing);
+ ASSERT_EQ(histogramWindowing.num(), 600);
+ ASSERT_EQ(histogramWindowing.min(), 1);
+ ASSERT_EQ(histogramWindowing.max(), 3);
+ ASSERT_EQ(histogramWindowing.Average(), 2.0);
+
+ // dropping oldest window with value 1, remaining 2 ~ 4
+ PopulateHistogram(histogramWindowing, 4, 4, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 500);
+ ASSERT_EQ(histogramWindowing.min(), 2);
+ ASSERT_EQ(histogramWindowing.max(), 4);
+
+ // dropping oldest window with value 2, remaining 3 ~ 5
+ PopulateHistogram(histogramWindowing, 5, 5, 100);
+ env->SleepForMicroseconds(micros_per_window);
+ ASSERT_EQ(histogramWindowing.num(), 400);
+ ASSERT_EQ(histogramWindowing.min(), 3);
+ ASSERT_EQ(histogramWindowing.max(), 5);
+}
+
+} // namespace ROCKSDB_NAMESPACE
+
+int main(int argc, char** argv) {
+ ::testing::InitGoogleTest(&argc, argv);
+ return RUN_ALL_TESTS();
+}