/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.cassandra.utils; import java.util.concurrent.atomic.AtomicLongArray; import org.junit.Test; import static org.junit.Assert.assertArrayEquals; public class HistogramBuilderTest { @Test public void testStdevEmpty() { EstimatedHistogram hist = new HistogramBuilder().buildWithStdevRangesAroundMean(); assertArrayEquals(new long[] { }, hist.getBucketOffsets()); assertArrayEquals(new long[] { 0 }, toArray(hist.buckets)); } @Test public void testStdevSingletonRanges() { EstimatedHistogram hist; hist = new HistogramBuilder(new long[] { 5, 5, 5, 5, 5 }).buildWithStdevRangesAroundMean(); assertArrayEquals(new long[] { 4, 5 }, hist.getBucketOffsets()); assertArrayEquals(new long[] { 0, 5, 0 }, toArray(hist.buckets)); // should behave exactly the same for negative numbers hist = new HistogramBuilder(new long[] { -1 }).buildWithStdevRangesAroundMean(); assertArrayEquals(new long[] { -2, -1 }, hist.getBucketOffsets()); assertArrayEquals(new long[] { 0, 1, 0 }, toArray(hist.buckets)); } @Test public void testStdevNearZeroStdev() { EstimatedHistogram hist; long[] vals = new long[100000]; vals[0] = 99; vals[1] = 101; for (int i = 2 ; i < vals.length ; i++) vals[i] = 100; hist = new HistogramBuilder(vals).buildWithStdevRangesAroundMean(); assertArrayEquals(new long[] { 98, 99, 100, 101 }, hist.getBucketOffsets()); assertArrayEquals(new long[] { 0, 1, vals.length - 2, 1, 0 }, toArray(hist.buckets)); } @Test public void testStdev() { long[] vals; EstimatedHistogram hist; vals = new long[] { -10, -3, -2, -2, -1, -1, -1, -1, -1, -1, -1, 0, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10 }; hist = new HistogramBuilder(vals).buildWithStdevRangesAroundMean(2); assertArrayEquals(new long[] { -11, -6, -3, 0, 3, 6, 10 }, hist.getBucketOffsets()); assertArrayEquals(new long[] { 0, 1, 1, 10, 10, 0, 1, 0 }, toArray(hist.buckets)); } private static long[] toArray(AtomicLongArray a) { final long[] r = new long[a.length()]; for (int i = 0 ; i < r.length ; i++) r[i] = a.get(i); return r; } @Test public void testStdevLargeNumbers() { long[] vals; EstimatedHistogram hist; vals = new long[100000]; for (int i = 0 ; i < vals.length ; i++) { if (i < vals.length * 0.6f) vals[i] = 60; else if (i < vals.length * 0.8f) vals[i] = 120; else if (i < vals.length * 0.9f) vals[i] = 180; else if (i < vals.length * 0.95f) vals[i] = 240; else if (i < vals.length * 0.98f) vals[i] = 320; else vals[i] = 1000; } hist = new HistogramBuilder(vals).buildWithStdevRangesAroundMean(2); assertArrayEquals(new long[] { 59, 120, 260, 400, 1000 }, hist.getBucketOffsets()); assertArrayEquals(new long[] { 0, 80000, 15000, 3000, 2000, 0 }, toArray(hist.buckets)); } }