| /* |
| * 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.hadoop.hbase.metrics.impl; |
| |
| import static org.junit.Assert.assertEquals; |
| |
| import java.util.Arrays; |
| import java.util.Random; |
| import java.util.concurrent.ThreadLocalRandom; |
| import org.apache.hadoop.hbase.HBaseClassTestRule; |
| import org.apache.hadoop.hbase.testclassification.MiscTests; |
| import org.apache.hadoop.hbase.testclassification.SmallTests; |
| import org.junit.Assert; |
| import org.junit.ClassRule; |
| import org.junit.Test; |
| import org.junit.experimental.categories.Category; |
| |
| /** |
| * Testcases for FastLongHistogram. |
| */ |
| @Category({ MiscTests.class, SmallTests.class }) |
| public class TestFastLongHistogram { |
| |
| @ClassRule |
| public static final HBaseClassTestRule CLASS_RULE = |
| HBaseClassTestRule.forClass(TestFastLongHistogram.class); |
| |
| private static void doTestUniform(FastLongHistogram hist) { |
| long[] VALUES = { 0, 10, 20, 30, 40, 50 }; |
| double[] qs = new double[VALUES.length]; |
| for (int i = 0; i < qs.length; i++) { |
| qs[i] = (double) VALUES[i] / VALUES[VALUES.length - 1]; |
| } |
| |
| for (int i = 0; i < 10; i++) { |
| for (long v : VALUES) { |
| hist.add(v, 1); |
| } |
| long[] vals = hist.getQuantiles(qs); |
| System.out.println(Arrays.toString(vals)); |
| for (int j = 0; j < qs.length; j++) { |
| Assert.assertTrue(j + "-th element org: " + VALUES[j] + ", act: " + vals[j], |
| Math.abs(vals[j] - VALUES[j]) <= 10); |
| } |
| hist.snapshotAndReset(); |
| } |
| } |
| |
| @Test |
| public void testUniform() { |
| FastLongHistogram hist = new FastLongHistogram(100, 0, 50); |
| doTestUniform(hist); |
| } |
| |
| @Test |
| public void testAdaptionOfChange() { |
| // assumes the uniform distribution |
| FastLongHistogram hist = new FastLongHistogram(100, 0, 100); |
| |
| Random rand = ThreadLocalRandom.current(); |
| |
| for (int n = 0; n < 10; n++) { |
| for (int i = 0; i < 900; i++) { |
| hist.add(rand.nextInt(100), 1); |
| } |
| |
| // add 10% outliers, this breaks the assumption, hope bin10xMax works |
| for (int i = 0; i < 100; i++) { |
| hist.add(1000 + rand.nextInt(100), 1); |
| } |
| |
| long[] vals = hist.getQuantiles(new double[] { 0.25, 0.75, 0.95 }); |
| System.out.println(Arrays.toString(vals)); |
| if (n == 0) { |
| Assert.assertTrue("Out of possible value", vals[0] >= 0 && vals[0] <= 50); |
| Assert.assertTrue("Out of possible value", vals[1] >= 50 && vals[1] <= 100); |
| Assert.assertTrue("Out of possible value", vals[2] >= 900 && vals[2] <= 1100); |
| } |
| |
| hist.snapshotAndReset(); |
| } |
| } |
| |
| @Test |
| public void testGetNumAtOrBelow() { |
| long[] VALUES = { 1, 10, 20, 30, 40, 50 }; |
| |
| FastLongHistogram h = new FastLongHistogram(); |
| for (long v : VALUES) { |
| for (int i = 0; i < 100; i++) { |
| h.add(v, 1); |
| } |
| } |
| |
| h.add(Integer.MAX_VALUE, 1); |
| |
| h.snapshotAndReset(); |
| |
| for (long v : VALUES) { |
| for (int i = 0; i < 100; i++) { |
| h.add(v, 1); |
| } |
| } |
| // Add something way out there to make sure it doesn't throw off the counts. |
| h.add(Integer.MAX_VALUE, 1); |
| |
| assertEquals(100, h.getNumAtOrBelow(1)); |
| assertEquals(200, h.getNumAtOrBelow(11)); |
| assertEquals(601, h.getNumAtOrBelow(Long.MAX_VALUE)); |
| } |
| |
| @Test |
| public void testSameValues() { |
| FastLongHistogram hist = new FastLongHistogram(100); |
| |
| hist.add(50, 100); |
| |
| hist.snapshotAndReset(); |
| doTestUniform(hist); |
| } |
| } |