0d3564c2e1
#5146 Add histogram metrics into util/metrics.h. The data structure of histogram is implemented in util/histogram.h, which could also be used in other situations that in need of histogram. Unit tests added as well.
101 lines
2.9 KiB
C++
101 lines
2.9 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include "util/histogram.h"
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#include <cmath>
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#include <gtest/gtest.h>
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namespace doris {
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class HistogramTest : public testing::Test {
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public:
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HistogramTest() {}
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virtual ~HistogramTest() {}
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};
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namespace {
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const HistogramBucketMapper bucket_mapper;
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const double delta = 0.1;
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}
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void populate_histogram(HistogramStat& hist, uint64_t low,
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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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hist.add(i);
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}
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}
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}
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TEST_F(HistogramTest, Normal) {
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HistogramStat hist;
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ASSERT_TRUE(hist.is_empty());
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populate_histogram(hist, 1, 110, 10);
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ASSERT_EQ(hist.num(), 1100);
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ASSERT_LE(fabs(hist.percentile(100.0) - 110.0), delta);
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ASSERT_LE(fabs(hist.percentile(99.0) - 108.9), delta);
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ASSERT_LE(fabs(hist.percentile(95.0) - 104.5), delta);
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ASSERT_LE(fabs(hist.median() - 55.0), delta);
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ASSERT_EQ(hist.average(), 55.5);
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}
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TEST_F(HistogramTest, Merge) {
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HistogramStat hist;
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HistogramStat other;
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populate_histogram(hist, 1, 100);
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populate_histogram(other, 101, 250);
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hist.merge(other);
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ASSERT_LE(fabs(hist.percentile(100.0) - 250.0), delta);
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ASSERT_LE(fabs(hist.percentile(99.0) - 247.5), delta);
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ASSERT_LE(fabs(hist.percentile(95.0) - 237.5), delta);
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ASSERT_LE(fabs(hist.median() - 125.0), delta);
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ASSERT_EQ(hist.average(), 125.5);
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}
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TEST_F(HistogramTest, Empty) {
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HistogramStat hist;
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ASSERT_EQ(hist.min(), bucket_mapper.last_value());
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ASSERT_EQ(hist.max(), 0);
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ASSERT_EQ(hist.num(), 0);
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ASSERT_EQ(hist.median(), 0.0);
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ASSERT_EQ(hist.percentile(85.0), 0.0);
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ASSERT_EQ(hist.average(), 0.0);
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ASSERT_EQ(hist.standard_deviation(), 0.0);
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}
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TEST_F(HistogramTest, Clear) {
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HistogramStat hist;
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populate_histogram(hist, 1, 100);
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hist.clear();
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ASSERT_TRUE(hist.is_empty());
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ASSERT_EQ(hist.median(), 0);
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ASSERT_EQ(hist.percentile(85.0), 0.0);
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ASSERT_EQ(hist.average(), 0.0);
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}
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} // namespace doris
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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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