MAPREDUCE-6353. Divide by zero error in MR AM when calculating available containers. (Anubhav Dhoot via kasha)
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@ -405,6 +405,9 @@ Release 2.8.0 - UNRELEASED
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MAPREDUCE-6359. In RM HA setup, "Cluster" tab links populated with AM
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hostname instead of RM. (zhaoyunjiong via junping_du)
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MAPREDUCE-6353. Divide by zero error in MR AM when calculating available
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containers. (Anubhav Dhoot via kasha)
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Release 2.7.1 - UNRELEASED
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INCOMPATIBLE CHANGES
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@ -35,10 +35,13 @@ public static int divideAndCeil(int a, int b) {
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public static int computeAvailableContainers(Resource available,
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Resource required, EnumSet<SchedulerResourceTypes> resourceTypes) {
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if (resourceTypes.contains(SchedulerResourceTypes.CPU)) {
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return Math.min(available.getMemory() / required.getMemory(),
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available.getVirtualCores() / required.getVirtualCores());
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return Math.min(
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calculateRatioOrMaxValue(available.getMemory(), required.getMemory()),
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calculateRatioOrMaxValue(available.getVirtualCores(), required
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.getVirtualCores()));
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}
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return available.getMemory() / required.getMemory();
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return calculateRatioOrMaxValue(
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available.getMemory(), required.getMemory());
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}
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public static int divideAndCeilContainers(Resource required, Resource factor,
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@ -49,4 +52,11 @@ public static int divideAndCeilContainers(Resource required, Resource factor,
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}
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return divideAndCeil(required.getMemory(), factor.getMemory());
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}
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private static int calculateRatioOrMaxValue(int numerator, int denominator) {
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if (denominator == 0) {
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return Integer.MAX_VALUE;
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}
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return numerator / denominator;
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}
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}
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@ -0,0 +1,75 @@
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/**
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* 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, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.mapreduce.v2.app.rm;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.junit.Assert;
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import org.junit.Test;
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import java.util.EnumSet;
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import static org.apache.hadoop.yarn.proto.YarnServiceProtos.*;
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public class TestResourceCalculatorUtils {
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@Test
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public void testComputeAvailableContainers() throws Exception {
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Resource clusterAvailableResources = Resource.newInstance(81920, 40);
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Resource nonZeroResource = Resource.newInstance(1024, 2);
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int expectedNumberOfContainersForMemory = 80;
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int expectedNumberOfContainersForCPU = 20;
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verifyDifferentResourceTypes(clusterAvailableResources, nonZeroResource,
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expectedNumberOfContainersForMemory,
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expectedNumberOfContainersForCPU);
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Resource zeroMemoryResource = Resource.newInstance(0,
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nonZeroResource.getVirtualCores());
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verifyDifferentResourceTypes(clusterAvailableResources, zeroMemoryResource,
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Integer.MAX_VALUE,
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expectedNumberOfContainersForCPU);
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Resource zeroCpuResource = Resource.newInstance(nonZeroResource.getMemory(),
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0);
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verifyDifferentResourceTypes(clusterAvailableResources, zeroCpuResource,
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expectedNumberOfContainersForMemory,
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expectedNumberOfContainersForMemory);
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}
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private void verifyDifferentResourceTypes(Resource clusterAvailableResources,
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Resource nonZeroResource, int expectedNumberOfContainersForMemoryOnly,
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int expectedNumberOfContainersOverall) {
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Assert.assertEquals("Incorrect number of available containers for Memory",
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expectedNumberOfContainersForMemoryOnly,
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ResourceCalculatorUtils.computeAvailableContainers(
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clusterAvailableResources, nonZeroResource,
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EnumSet.of(SchedulerResourceTypes.MEMORY)));
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Assert.assertEquals("Incorrect number of available containers overall",
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expectedNumberOfContainersOverall,
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ResourceCalculatorUtils.computeAvailableContainers(
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clusterAvailableResources, nonZeroResource,
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EnumSet.of(SchedulerResourceTypes.CPU,
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SchedulerResourceTypes.MEMORY)));
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}
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}
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