Java tutorial
/* * Licensed to Metamarkets Group Inc. (Metamarkets) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. Metamarkets 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 io.druid.benchmark.datagen; import org.apache.commons.math3.distribution.EnumeratedDistribution; import org.apache.commons.math3.util.Pair; import java.util.Arrays; import java.util.List; public class SequentialDistribution extends EnumeratedDistribution { private Integer start; private Integer end; private List<Object> enumeratedValues; private int counter; public SequentialDistribution(Integer start, Integer end, List<Object> enumeratedValues) { // just pass in some bogus probability mass function, we won't be using it super(Arrays.asList(new Pair<Object, Double>(null, 1.0))); this.start = start; this.end = end; this.enumeratedValues = enumeratedValues; if (enumeratedValues == null) { counter = start; } else { counter = 0; } } @Override public Object sample() { Object ret; if (enumeratedValues != null) { ret = enumeratedValues.get(counter); counter = (counter + 1) % enumeratedValues.size(); } else { ret = counter; counter++; if (counter >= end) { counter = start; } } return ret; } }