YARN-6194. Cluster capacity in SchedulingPolicy is updated only on allocation file reload. (Yufei Gu via kasha)
(cherry picked from commit b10e962224
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ca7a6a7365
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@ -17,6 +17,8 @@
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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.Resource;
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/**
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* Helper class that holds basic information to be passed around
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* FairScheduler classes. Think of this as a glorified map that holds key
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@ -27,28 +29,37 @@ public class FSContext {
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private boolean preemptionEnabled = false;
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private float preemptionUtilizationThreshold;
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private FSStarvedApps starvedApps;
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private FairScheduler scheduler;
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public boolean isPreemptionEnabled() {
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FSContext(FairScheduler scheduler) {
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this.scheduler = scheduler;
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}
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boolean isPreemptionEnabled() {
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return preemptionEnabled;
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}
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public void setPreemptionEnabled() {
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void setPreemptionEnabled() {
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this.preemptionEnabled = true;
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if (starvedApps == null) {
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starvedApps = new FSStarvedApps();
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}
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}
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public FSStarvedApps getStarvedApps() {
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FSStarvedApps getStarvedApps() {
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return starvedApps;
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}
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public float getPreemptionUtilizationThreshold() {
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float getPreemptionUtilizationThreshold() {
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return preemptionUtilizationThreshold;
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}
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public void setPreemptionUtilizationThreshold(
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void setPreemptionUtilizationThreshold(
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float preemptionUtilizationThreshold) {
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this.preemptionUtilizationThreshold = preemptionUtilizationThreshold;
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}
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public Resource getClusterResource() {
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return scheduler.getClusterResource();
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}
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}
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@ -135,7 +135,7 @@ public abstract class FSQueue implements Queue, Schedulable {
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}
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public void setPolicy(SchedulingPolicy policy) {
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policy.initialize(scheduler.getClusterResource());
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policy.initialize(scheduler.getContext());
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this.policy = policy;
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}
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@ -206,13 +206,12 @@ public class FairScheduler extends
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public FairScheduler() {
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super(FairScheduler.class.getName());
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context = new FSContext();
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context = new FSContext(this);
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allocsLoader = new AllocationFileLoaderService();
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queueMgr = new QueueManager(this);
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maxRunningEnforcer = new MaxRunningAppsEnforcer(this);
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}
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@VisibleForTesting
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public FSContext getContext() {
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return context;
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}
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@ -1450,8 +1449,7 @@ public class FairScheduler extends
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} else {
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allocConf = queueInfo;
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setQueueAcls(allocConf.getQueueAcls());
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allocConf.getDefaultSchedulingPolicy().initialize(
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getClusterResource());
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allocConf.getDefaultSchedulingPolicy().initialize(getContext());
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queueMgr.updateAllocationConfiguration(allocConf);
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applyChildDefaults();
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maxRunningEnforcer.updateRunnabilityOnReload();
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@ -92,8 +92,25 @@ public abstract class SchedulingPolicy {
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return getInstance(clazz);
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}
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/**
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* Initialize the scheduling policy with cluster resources.
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* @deprecated Since it doesn't track cluster resource changes, replaced by
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* {@link #initialize(FSContext)}.
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*
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* @param clusterCapacity cluster resources
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*/
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@Deprecated
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public void initialize(Resource clusterCapacity) {}
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/**
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* Initialize the scheduling policy with a {@link FSContext} object, which has
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* a pointer to the cluster resources among other information.
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*
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* @param fsContext a {@link FSContext} object which has a pointer to the
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* cluster resources
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*/
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public void initialize(FSContext fsContext) {}
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/**
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* The {@link ResourceCalculator} returned by this method should be used
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* for any calculations involving resources.
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@ -26,6 +26,7 @@ import org.apache.hadoop.classification.InterfaceStability.Unstable;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.resource.ResourceType;
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import org.apache.hadoop.yarn.server.resourcemanager.resource.ResourceWeights;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSContext;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSQueue;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.Schedulable;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.SchedulingPolicy;
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@ -104,17 +105,17 @@ public class DominantResourceFairnessPolicy extends SchedulingPolicy {
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}
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@Override
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public void initialize(Resource clusterCapacity) {
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COMPARATOR.setClusterCapacity(clusterCapacity);
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public void initialize(FSContext fsContext) {
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COMPARATOR.setFSContext(fsContext);
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}
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public static class DominantResourceFairnessComparator implements Comparator<Schedulable> {
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private static final int NUM_RESOURCES = ResourceType.values().length;
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private Resource clusterCapacity;
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private FSContext fsContext;
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public void setClusterCapacity(Resource clusterCapacity) {
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this.clusterCapacity = clusterCapacity;
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public void setFSContext(FSContext fsContext) {
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this.fsContext = fsContext;
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}
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@Override
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@ -125,6 +126,7 @@ public class DominantResourceFairnessPolicy extends SchedulingPolicy {
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ResourceWeights sharesOfMinShare2 = new ResourceWeights();
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ResourceType[] resourceOrder1 = new ResourceType[NUM_RESOURCES];
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ResourceType[] resourceOrder2 = new ResourceType[NUM_RESOURCES];
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Resource clusterCapacity = fsContext.getClusterResource();
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// Calculate shares of the cluster for each resource both schedulables.
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calculateShares(s1.getResourceUsage(),
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@ -3285,7 +3285,7 @@ public class TestFairScheduler extends FairSchedulerTestBase {
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FSAppAttempt app2 = scheduler.getSchedulerApp(appAttId2);
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DominantResourceFairnessPolicy drfPolicy = new DominantResourceFairnessPolicy();
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drfPolicy.initialize(scheduler.getClusterResource());
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drfPolicy.initialize(scheduler.getContext());
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scheduler.getQueueManager().getQueue("queue1").setPolicy(drfPolicy);
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scheduler.update();
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@ -3331,7 +3331,7 @@ public class TestFairScheduler extends FairSchedulerTestBase {
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FSAppAttempt app3 = scheduler.getSchedulerApp(appAttId3);
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DominantResourceFairnessPolicy drfPolicy = new DominantResourceFairnessPolicy();
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drfPolicy.initialize(scheduler.getClusterResource());
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drfPolicy.initialize(scheduler.getContext());
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scheduler.getQueueManager().getQueue("root").setPolicy(drfPolicy);
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scheduler.getQueueManager().getQueue("queue1").setPolicy(drfPolicy);
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scheduler.update();
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@ -3376,7 +3376,7 @@ public class TestFairScheduler extends FairSchedulerTestBase {
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FSAppAttempt app4 = scheduler.getSchedulerApp(appAttId4);
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DominantResourceFairnessPolicy drfPolicy = new DominantResourceFairnessPolicy();
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drfPolicy.initialize(scheduler.getClusterResource());
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drfPolicy.initialize(scheduler.getContext());
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scheduler.getQueueManager().getQueue("root").setPolicy(drfPolicy);
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scheduler.getQueueManager().getQueue("queue1").setPolicy(drfPolicy);
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scheduler.getQueueManager().getQueue("queue1.subqueue1").setPolicy(drfPolicy);
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@ -19,12 +19,15 @@ package org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies;
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import static org.junit.Assert.assertEquals;
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import static org.junit.Assert.assertTrue;
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import static org.mockito.Mockito.mock;
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import static org.mockito.Mockito.when;
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import java.util.Comparator;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.resource.ResourceType;
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import org.apache.hadoop.yarn.server.resourcemanager.resource.ResourceWeights;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSContext;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FakeSchedulable;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.Schedulable;
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import org.apache.hadoop.yarn.server.utils.BuilderUtils;
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@ -40,7 +43,10 @@ public class TestDominantResourceFairnessPolicy {
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private Comparator<Schedulable> createComparator(int clusterMem,
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int clusterCpu) {
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DominantResourceFairnessPolicy policy = new DominantResourceFairnessPolicy();
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policy.initialize(BuilderUtils.newResource(clusterMem, clusterCpu));
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FSContext fsContext = mock(FSContext.class);
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when(fsContext.getClusterResource()).
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thenReturn(Resources.createResource(clusterMem, clusterCpu));
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policy.initialize(fsContext);
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return policy.getComparator();
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}
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@ -160,4 +166,21 @@ public class TestDominantResourceFairnessPolicy {
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assertEquals(ResourceType.CPU, resourceOrder[0]);
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assertEquals(ResourceType.MEMORY, resourceOrder[1]);
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}
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@Test
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public void testCompareSchedulablesWithClusterResourceChanges(){
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Schedulable schedulable1 = createSchedulable(2000, 1);
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Schedulable schedulable2 = createSchedulable(1000, 2);
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// schedulable1 has share weights [1/2, 1/5], schedulable2 has share
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// weights [1/4, 2/5], schedulable1 > schedulable2 since 1/2 > 2/5
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assertTrue(createComparator(4000, 5)
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.compare(schedulable1, schedulable2) > 0);
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// share weights have changed because of the cluster resource change.
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// schedulable1 has share weights [1/4, 1/6], schedulable2 has share
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// weights [1/8, 1/3], schedulable1 < schedulable2 since 1/4 < 1/3
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assertTrue(createComparator(8000, 6)
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.compare(schedulable1, schedulable2) < 0);
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}
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}
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