YARN-146. Add unit tests for computing fair share in the fair scheduler. Contributed by Sandy Ryza.
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1396972 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Thomas White
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adb50a3537
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@ -58,6 +58,9 @@ Release 2.0.3-alpha - Unreleased
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YARN-94. Modify DistributedShell to point to main-class by default, clean up
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the help message, and hard-code the AM class. (Hitesh Shah via vinodkv)
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YARN-146. Add unit tests for computing fair share in the fair scheduler.
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(Sandy Ryza via tomwhite)
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OPTIMIZATIONS
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BUG FIXES
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@ -0,0 +1,115 @@
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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.yarn.server.resourcemanager.scheduler.fair;
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import org.apache.hadoop.yarn.api.records.Priority;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.resource.Resources;
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import org.apache.hadoop.yarn.util.Records;
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/**
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* Dummy implementation of Schedulable for unit testing.
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*/
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public class FakeSchedulable extends Schedulable {
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private Resource demand;
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private Resource usage;
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private Resource minShare;
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private double weight;
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private Priority priority;
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private long startTime;
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public FakeSchedulable() {
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this(0, 0, 1, 0, 0, 0);
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}
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public FakeSchedulable(int demand) {
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this(demand, 0, 1, 0, 0, 0);
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}
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public FakeSchedulable(int demand, int minShare) {
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this(demand, minShare, 1, 0, 0, 0);
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}
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public FakeSchedulable(int demand, int minShare, double weight) {
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this(demand, minShare, weight, 0, 0, 0);
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}
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public FakeSchedulable(int demand, int minShare, double weight, int fairShare, int usage,
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long startTime) {
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this(Resources.createResource(demand), Resources.createResource(minShare), weight,
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Resources.createResource(fairShare), Resources.createResource(usage), startTime);
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}
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public FakeSchedulable(Resource demand, Resource minShare, double weight, Resource fairShare,
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Resource usage, long startTime) {
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this.demand = demand;
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this.minShare = minShare;
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this.weight = weight;
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setFairShare(fairShare);
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this.usage = usage;
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this.priority = Records.newRecord(Priority.class);
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this.startTime = startTime;
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}
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@Override
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public Resource assignContainer(FSSchedulerNode node, boolean reserved) {
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return null;
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}
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@Override
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public Resource getDemand() {
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return demand;
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}
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@Override
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public String getName() {
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return "FakeSchedulable" + this.hashCode();
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}
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@Override
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public Priority getPriority() {
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return priority;
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}
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@Override
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public Resource getResourceUsage() {
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return usage;
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}
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@Override
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public long getStartTime() {
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return startTime;
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}
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@Override
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public double getWeight() {
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return weight;
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}
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@Override
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public Resource getMinShare() {
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return minShare;
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}
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@Override
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public void redistributeShare() {}
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@Override
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public void updateDemand() {}
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}
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@ -0,0 +1,184 @@
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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.yarn.server.resourcemanager.scheduler.fair;
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import java.util.ArrayList;
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import java.util.List;
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import junit.framework.Assert;
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import org.apache.hadoop.yarn.server.resourcemanager.resource.Resources;
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import org.junit.Before;
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import org.junit.Test;
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/**
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* Exercise the computeFairShares method in SchedulingAlgorithms.
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*/
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public class TestComputeFairShares {
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private List<Schedulable> scheds;
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@Before
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public void setUp() throws Exception {
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scheds = new ArrayList<Schedulable>();
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}
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/**
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* Basic test - pools with different demands that are all higher than their
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* fair share (of 10 slots) should each get their fair share.
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*/
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@Test
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public void testEqualSharing() {
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scheds.add(new FakeSchedulable(100));
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scheds.add(new FakeSchedulable(50));
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scheds.add(new FakeSchedulable(30));
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scheds.add(new FakeSchedulable(20));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
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verifyShares(10, 10, 10, 10);
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}
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/**
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* In this test, pool 4 has a smaller demand than the 40 / 4 = 10 slots that
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* it would be assigned with equal sharing. It should only get the 3 slots
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* it demands. The other pools must then split the remaining 37 slots, but
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* pool 3, with 11 slots demanded, is now below its share of 37/3 ~= 12.3,
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* so it only gets 11 slots. Pools 1 and 2 split the rest and get 13 each.
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*/
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@Test
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public void testLowDemands() {
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scheds.add(new FakeSchedulable(100));
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scheds.add(new FakeSchedulable(50));
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scheds.add(new FakeSchedulable(11));
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scheds.add(new FakeSchedulable(3));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
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verifyShares(13, 13, 11, 3);
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}
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/**
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* In this test, some pools have minimum shares set. Pool 1 has a min share
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* of 20 so it gets 20 slots. Pool 2 also has a min share of 20, but its
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* demand is only 10 so it can only get 10 slots. The remaining pools have
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* 10 slots to split between them. Pool 4 gets 3 slots because its demand is
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* only 3, and pool 3 gets the remaining 7 slots. Pool 4 also had a min share
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* of 2 slots but this should not affect the outcome.
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*/
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@Test
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public void testMinShares() {
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scheds.add(new FakeSchedulable(100, 20));
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scheds.add(new FakeSchedulable(10, 20));
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scheds.add(new FakeSchedulable(10, 0));
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scheds.add(new FakeSchedulable(3, 2));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
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verifyShares(20, 10, 7, 3);
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}
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/**
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* Basic test for weighted shares with no minimum shares and no low demands.
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* Each pool should get slots in proportion to its weight.
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*/
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@Test
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public void testWeightedSharing() {
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scheds.add(new FakeSchedulable(100, 0, 2.0));
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scheds.add(new FakeSchedulable(50, 0, 1.0));
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scheds.add(new FakeSchedulable(30, 0, 1.0));
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scheds.add(new FakeSchedulable(20, 0, 0.5));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(45));
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verifyShares(20, 10, 10, 5);
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}
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/**
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* Weighted sharing test where pools 1 and 2 are now given lower demands than
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* above. Pool 1 stops at 10 slots, leaving 35. If the remaining pools split
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* this into a 1:1:0.5 ratio, they would get 14:14:7 slots respectively, but
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* pool 2's demand is only 11, so it only gets 11. The remaining 2 pools split
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* the 24 slots left into a 1:0.5 ratio, getting 16 and 8 slots respectively.
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*/
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@Test
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public void testWeightedSharingWithLowDemands() {
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scheds.add(new FakeSchedulable(10, 0, 2.0));
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scheds.add(new FakeSchedulable(11, 0, 1.0));
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scheds.add(new FakeSchedulable(30, 0, 1.0));
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scheds.add(new FakeSchedulable(20, 0, 0.5));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(45));
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verifyShares(10, 11, 16, 8);
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}
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/**
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* Weighted fair sharing test with min shares. As in the min share test above,
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* pool 1 has a min share greater than its demand so it only gets its demand.
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* Pool 3 has a min share of 15 even though its weight is very small, so it
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* gets 15 slots. The remaining pools share the remaining 20 slots equally,
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* getting 10 each. Pool 3's min share of 5 slots doesn't affect this.
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*/
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@Test
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public void testWeightedSharingWithMinShares() {
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scheds.add(new FakeSchedulable(10, 20, 2.0));
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scheds.add(new FakeSchedulable(11, 0, 1.0));
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scheds.add(new FakeSchedulable(30, 5, 1.0));
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scheds.add(new FakeSchedulable(20, 15, 0.5));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(45));
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verifyShares(10, 10, 10, 15);
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}
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/**
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* Test that shares are computed accurately even when the number of slots is
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* very large.
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*/
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@Test
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public void testLargeShares() {
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int million = 1000 * 1000;
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scheds.add(new FakeSchedulable(100 * million));
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scheds.add(new FakeSchedulable(50 * million));
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scheds.add(new FakeSchedulable(30 * million));
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scheds.add(new FakeSchedulable(20 * million));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40 * million));
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verifyShares(10 * million, 10 * million, 10 * million, 10 * million);
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}
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/**
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* Test that having a pool with 0 demand doesn't confuse the algorithm.
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*/
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@Test
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public void testZeroDemand() {
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scheds.add(new FakeSchedulable(100));
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scheds.add(new FakeSchedulable(50));
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scheds.add(new FakeSchedulable(30));
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scheds.add(new FakeSchedulable(0));
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(30));
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verifyShares(10, 10, 10, 0);
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}
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/**
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* Test that being called on an empty list doesn't confuse the algorithm.
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*/
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@Test
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public void testEmptyList() {
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SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
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verifyShares();
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}
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/**
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* Check that a given list of shares have been assigned to this.scheds.
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*/
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private void verifyShares(double... shares) {
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Assert.assertEquals(scheds.size(), shares.length);
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for (int i = 0; i < shares.length; i++) {
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Assert.assertEquals(shares[i], scheds.get(i).getFairShare().getMemory(), 0.01);
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}
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}
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}
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