/** * 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.mapreduce.v2.app.rm; import org.apache.hadoop.yarn.api.records.Resource; import org.apache.hadoop.yarn.proto.YarnServiceProtos.SchedulerResourceTypes; import org.apache.hadoop.yarn.util.Records; import java.util.EnumSet; public class ResourceCalculatorUtils { public static int divideAndCeil(int a, int b) { if (b == 0) { return 0; } return (a + (b - 1)) / b; } public static int computeAvailableContainers(Resource available, Resource required, EnumSet<SchedulerResourceTypes> resourceTypes) { if (resourceTypes.contains(SchedulerResourceTypes.CPU)) { return Math.min(available.getMemory() / required.getMemory(), available.getVirtualCores() / required.getVirtualCores()); } return available.getMemory() / required.getMemory(); } public static int divideAndCeilContainers(Resource required, Resource factor, EnumSet<SchedulerResourceTypes> resourceTypes) { if (resourceTypes.contains(SchedulerResourceTypes.CPU)) { return Math.max(divideAndCeil(required.getMemory(), factor.getMemory()), divideAndCeil(required.getVirtualCores(), factor.getVirtualCores())); } return divideAndCeil(required.getMemory(), factor.getMemory()); } }