YARN-3215. Respect labels in CapacityScheduler when computing headroom. (Naganarasimha G R via wangda)
This commit is contained in:
Wangda Tan
parent
843ee8d59d
commit
ec06957941
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@ -29,8 +29,8 @@ import java.util.Set;
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import java.util.TreeMap;
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import java.util.TreeSet;
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import java.util.concurrent.ConcurrentHashMap;
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import java.util.concurrent.atomic.AtomicLong;
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import java.util.concurrent.atomic.AtomicBoolean;
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import java.util.concurrent.atomic.AtomicLong;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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@ -46,6 +46,7 @@ import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.api.records.ResourceRequest;
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import org.apache.hadoop.yarn.exceptions.YarnException;
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import org.apache.hadoop.yarn.server.resourcemanager.RMServerUtils;
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import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsManager;
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import org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainer;
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import org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerState;
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import org.apache.hadoop.yarn.util.resource.Resources;
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@ -75,6 +76,7 @@ public class AppSchedulingInfo {
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private AtomicBoolean userBlacklistChanged = new AtomicBoolean(false);
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private final Set<String> amBlacklist = new HashSet<>();
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private Set<String> userBlacklist = new HashSet<>();
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private Set<String> requestedPartitions = new HashSet<>();
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final Set<Priority> priorities = new TreeSet<>(COMPARATOR);
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final Map<Priority, Map<String, ResourceRequest>> resourceRequestMap =
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@ -119,6 +121,10 @@ public class AppSchedulingInfo {
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return pending;
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}
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public Set<String> getRequestedPartitions() {
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return requestedPartitions;
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}
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/**
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* Clear any pending requests from this application.
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*/
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@ -340,6 +346,10 @@ public class AppSchedulingInfo {
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asks.put(resourceName, request);
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if (resourceName.equals(ResourceRequest.ANY)) {
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//update the applications requested labels set
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requestedPartitions.add(request.getNodeLabelExpression() == null
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? RMNodeLabelsManager.NO_LABEL : request.getNodeLabelExpression());
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anyResourcesUpdated = true;
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// Activate application. Metrics activation is done here.
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@ -439,9 +439,8 @@ public abstract class AbstractCSQueue implements CSQueue {
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* limit-set-by-parent)
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*/
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Resource queueMaxResource =
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Resources.multiplyAndNormalizeDown(resourceCalculator,
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labelManager.getResourceByLabel(nodePartition, clusterResource),
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queueCapacities.getAbsoluteMaximumCapacity(nodePartition), minimumAllocation);
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getQueueMaxResource(nodePartition, clusterResource);
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return Resources.min(resourceCalculator, clusterResource,
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queueMaxResource, currentResourceLimits.getLimit());
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} else if (schedulingMode == SchedulingMode.IGNORE_PARTITION_EXCLUSIVITY) {
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@ -452,7 +451,14 @@ public abstract class AbstractCSQueue implements CSQueue {
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return Resources.none();
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}
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Resource getQueueMaxResource(String nodePartition, Resource clusterResource) {
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return Resources.multiplyAndNormalizeDown(resourceCalculator,
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labelManager.getResourceByLabel(nodePartition, clusterResource),
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queueCapacities.getAbsoluteMaximumCapacity(nodePartition),
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minimumAllocation);
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}
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synchronized boolean canAssignToThisQueue(Resource clusterResource,
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String nodePartition, ResourceLimits currentResourceLimits,
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Resource resourceCouldBeUnreserved, SchedulingMode schedulingMode) {
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@ -17,8 +17,12 @@
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*/
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package org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
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import java.util.Set;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsManager;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
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import org.apache.hadoop.yarn.util.resource.Resources;
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public class CapacityHeadroomProvider {
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@ -38,22 +42,32 @@ public class CapacityHeadroomProvider {
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}
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public Resource getHeadroom() {
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Resource queueCurrentLimit;
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Resource clusterResource;
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synchronized (queueResourceLimitsInfo) {
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queueCurrentLimit = queueResourceLimitsInfo.getQueueCurrentLimit();
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clusterResource = queueResourceLimitsInfo.getClusterResource();
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}
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Resource headroom = queue.getHeadroom(user, queueCurrentLimit,
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clusterResource, application);
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Set<String> requestedPartitions =
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application.getAppSchedulingInfo().getRequestedPartitions();
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Resource headroom;
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if (requestedPartitions.isEmpty() || (requestedPartitions.size() == 1
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&& requestedPartitions.contains(RMNodeLabelsManager.NO_LABEL))) {
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headroom = queue.getHeadroom(user, queueCurrentLimit, clusterResource,
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application);
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} else {
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headroom = Resource.newInstance(0, 0);
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for (String partition : requestedPartitions) {
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Resource partitionHeadRoom = queue.getHeadroom(user, queueCurrentLimit,
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clusterResource, application, partition);
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Resources.addTo(headroom, partitionHeadRoom);
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}
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}
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// Corner case to deal with applications being slightly over-limit
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if (headroom.getMemory() < 0) {
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headroom.setMemory(0);
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}
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return headroom;
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}
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}
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@ -101,6 +101,7 @@ import org.apache.hadoop.yarn.server.resourcemanager.scheduler.Queue;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueInvalidException;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueMetrics;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceLimits;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceUsage;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedContainerChangeRequest;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplication;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt;
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@ -2124,4 +2125,9 @@ public class CapacityScheduler extends
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public PreemptionManager getPreemptionManager() {
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return preemptionManager;
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}
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@Override
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public ResourceUsage getClusterResourceUsage() {
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return root.getQueueResourceUsage();
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}
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}
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@ -18,11 +18,14 @@
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package org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity;
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import java.util.Comparator;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.yarn.api.records.ApplicationAttemptId;
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import org.apache.hadoop.yarn.api.records.NodeId;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.RMContext;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceUsage;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerHealth;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.preemption.PreemptionManager;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
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@ -30,8 +33,6 @@ import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaS
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import org.apache.hadoop.yarn.server.resourcemanager.security.RMContainerTokenSecretManager;
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import org.apache.hadoop.yarn.util.resource.ResourceCalculator;
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import java.util.Comparator;
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/**
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* Read-only interface to {@link CapacityScheduler} context.
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*/
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@ -72,4 +73,11 @@ public interface CapacitySchedulerContext {
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SchedulerHealth getSchedulerHealth();
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long getLastNodeUpdateTime();
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/**
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* @return QueueCapacities root queue of the Capacity Scheduler Queue, root
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* queue used capacities for different labels are same as that of the
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* cluster.
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*/
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ResourceUsage getClusterResourceUsage();
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}
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@ -986,14 +986,21 @@ public class LeafQueue extends AbstractCSQueue {
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protected Resource getHeadroom(User user, Resource queueCurrentLimit,
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Resource clusterResource, FiCaSchedulerApp application) {
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return getHeadroom(user, queueCurrentLimit, clusterResource,
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computeUserLimit(application, clusterResource, user,
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RMNodeLabelsManager.NO_LABEL,
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SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY));
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return getHeadroom(user, queueCurrentLimit, clusterResource, application,
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RMNodeLabelsManager.NO_LABEL);
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}
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private Resource getHeadroom(User user, Resource currentResourceLimit,
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Resource clusterResource, Resource userLimit) {
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protected Resource getHeadroom(User user, Resource queueCurrentLimit,
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Resource clusterResource, FiCaSchedulerApp application,
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String partition) {
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return getHeadroom(user, queueCurrentLimit, clusterResource,
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computeUserLimit(application, clusterResource, user, partition,
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SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY), partition);
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}
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private Resource getHeadroom(User user,
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Resource currentPartitionResourceLimit, Resource clusterResource,
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Resource userLimitResource, String partition) {
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/**
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* Headroom is:
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* min(
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@ -1010,15 +1017,33 @@ public class LeafQueue extends AbstractCSQueue {
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*
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* >> min (userlimit - userConsumed, queueMaxCap - queueUsedResources) <<
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*
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* sum of queue max capacities of multiple queue's will be greater than the
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* actual capacity of a given partition, hence we need to ensure that the
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* headroom is not greater than the available resource for a given partition
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*
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* headroom = min (unused resourcelimit of a label, calculated headroom )
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*/
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Resource headroom =
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Resources.componentwiseMin(
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Resources.subtract(userLimit, user.getUsed()),
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Resources.subtract(currentResourceLimit, queueUsage.getUsed())
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);
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currentPartitionResourceLimit =
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partition.equals(RMNodeLabelsManager.NO_LABEL)
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? currentPartitionResourceLimit
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: getQueueMaxResource(partition, clusterResource);
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Resource headroom = Resources.componentwiseMin(
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Resources.subtract(userLimitResource, user.getUsed(partition)),
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Resources.subtract(currentPartitionResourceLimit,
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queueUsage.getUsed(partition)));
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// Normalize it before return
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headroom =
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Resources.roundDown(resourceCalculator, headroom, minimumAllocation);
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//headroom = min (unused resourcelimit of a label, calculated headroom )
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Resource clusterPartitionResource =
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labelManager.getResourceByLabel(partition, clusterResource);
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Resource clusterFreePartitionResource =
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Resources.subtract(clusterPartitionResource,
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csContext.getClusterResourceUsage().getUsed(partition));
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headroom = Resources.min(resourceCalculator, clusterPartitionResource,
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clusterFreePartitionResource, headroom);
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return headroom;
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}
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@ -1045,10 +1070,10 @@ public class LeafQueue extends AbstractCSQueue {
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nodePartition, schedulingMode);
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setQueueResourceLimitsInfo(clusterResource);
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Resource headroom =
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getHeadroom(queueUser, cachedResourceLimitsForHeadroom.getLimit(),
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clusterResource, userLimit);
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clusterResource, userLimit, nodePartition);
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if (LOG.isDebugEnabled()) {
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LOG.debug("Headroom calculation for user " + user + ": " +
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@ -52,6 +52,7 @@ import org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMApp;
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import org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttempt;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ActiveUsersManager;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceLimits;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceUsage;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.preemption.PreemptionManager;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerNode;
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@ -579,8 +580,12 @@ public class TestApplicationLimits {
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when(csContext.getClusterResource()).thenReturn(clusterResource);
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Map<String, CSQueue> queues = new HashMap<String, CSQueue>();
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CapacityScheduler.parseQueue(csContext, csConf, null, "root",
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queues, queues, TestUtils.spyHook);
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CSQueue rootQueue = CapacityScheduler.parseQueue(csContext, csConf, null,
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"root", queues, queues, TestUtils.spyHook);
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ResourceUsage queueCapacities = rootQueue.getQueueResourceUsage();
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when(csContext.getClusterResourceUsage())
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.thenReturn(queueCapacities);
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// Manipulate queue 'a'
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LeafQueue queue = TestLeafQueue.stubLeafQueue((LeafQueue)queues.get(A));
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@ -657,8 +662,7 @@ public class TestApplicationLimits {
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queue.assignContainers(clusterResource, node_0, new ResourceLimits(
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clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY); // Schedule to compute
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assertEquals(expectedHeadroom, app_0_0.getHeadroom());
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// TODO, need fix headroom in future patch
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// assertEquals(expectedHeadroom, app_0_1.getHeadroom());// no change
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assertEquals(expectedHeadroom, app_0_1.getHeadroom());// no change
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// Submit first application from user_1, check for new headroom
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final ApplicationAttemptId appAttemptId_1_0 =
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@ -679,9 +683,8 @@ public class TestApplicationLimits {
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clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY); // Schedule to compute
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expectedHeadroom = Resources.createResource(10*16*GB / 2, 1); // changes
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assertEquals(expectedHeadroom, app_0_0.getHeadroom());
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// TODO, need fix headroom in future patch
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// assertEquals(expectedHeadroom, app_0_1.getHeadroom());
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// assertEquals(expectedHeadroom, app_1_0.getHeadroom());
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assertEquals(expectedHeadroom, app_0_1.getHeadroom());
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assertEquals(expectedHeadroom, app_1_0.getHeadroom());
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// Now reduce cluster size and check for the smaller headroom
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clusterResource = Resources.createResource(90*16*GB);
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@ -689,9 +692,8 @@ public class TestApplicationLimits {
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clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY); // Schedule to compute
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expectedHeadroom = Resources.createResource(9*16*GB / 2, 1); // changes
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assertEquals(expectedHeadroom, app_0_0.getHeadroom());
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// TODO, need fix headroom in future patch
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// assertEquals(expectedHeadroom, app_0_1.getHeadroom());
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// assertEquals(expectedHeadroom, app_1_0.getHeadroom());
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assertEquals(expectedHeadroom, app_0_1.getHeadroom());
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assertEquals(expectedHeadroom, app_1_0.getHeadroom());
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}
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@ -18,12 +18,29 @@
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package org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity;
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import static org.junit.Assert.assertEquals;
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import static org.mockito.Mockito.mock;
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import static org.mockito.Mockito.spy;
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import static org.mockito.Mockito.when;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.ConcurrentHashMap;
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import java.util.concurrent.ConcurrentMap;
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import org.apache.hadoop.yarn.api.records.ApplicationAttemptId;
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import org.apache.hadoop.yarn.api.records.ApplicationId;
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import org.apache.hadoop.yarn.api.records.ContainerId;
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import org.apache.hadoop.yarn.api.records.NodeId;
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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.api.records.ResourceRequest;
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import org.apache.hadoop.yarn.conf.YarnConfiguration;
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import org.apache.hadoop.yarn.factories.RecordFactory;
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import org.apache.hadoop.yarn.factory.providers.RecordFactoryProvider;
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import org.apache.hadoop.yarn.server.resourcemanager.MockAM;
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import org.apache.hadoop.yarn.server.resourcemanager.MockNM;
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import org.apache.hadoop.yarn.server.resourcemanager.MockRM;
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@ -31,11 +48,21 @@ import org.apache.hadoop.yarn.server.resourcemanager.RMContext;
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import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.NullRMNodeLabelsManager;
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import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsManager;
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import org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMApp;
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import org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttempt;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceLimits;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceScheduler;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceUsage;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt.AMState;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerNode;
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import org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator;
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import org.apache.hadoop.yarn.util.resource.ResourceCalculator;
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import org.apache.hadoop.yarn.util.resource.Resources;
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import org.junit.Assert;
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import org.junit.Before;
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import org.junit.Test;
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import org.mockito.Matchers;
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import org.mockito.Mockito;
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import com.google.common.collect.ImmutableMap;
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import com.google.common.collect.ImmutableSet;
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@ -47,7 +74,8 @@ public class TestApplicationLimitsByPartition {
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RMNodeLabelsManager mgr;
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private YarnConfiguration conf;
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RMContext rmContext = null;
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private final ResourceCalculator resourceCalculator =
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new DefaultResourceCalculator();
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@Before
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public void setUp() throws IOException {
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@ -538,4 +566,174 @@ public class TestApplicationLimitsByPartition {
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rm1.close();
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}
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@Test
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public void testHeadroom() throws Exception {
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/*
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* Test Case: Verify Headroom calculated is sum of headrooms for each
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* partition requested. So submit a app with requests for default partition
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* and 'x' partition, so the total headroom for the user should be sum of
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* the head room for both labels.
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*/
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simpleNodeLabelMappingToManager();
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CapacitySchedulerConfiguration csConf =
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(CapacitySchedulerConfiguration) TestUtils
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||||
.getComplexConfigurationWithQueueLabels(conf);
|
||||
final String A1 = CapacitySchedulerConfiguration.ROOT + ".a" + ".a1";
|
||||
final String B2 = CapacitySchedulerConfiguration.ROOT + ".b" + ".b2";
|
||||
csConf.setUserLimit(A1, 25);
|
||||
csConf.setUserLimit(B2, 25);
|
||||
|
||||
YarnConfiguration conf = new YarnConfiguration();
|
||||
|
||||
CapacitySchedulerContext csContext = mock(CapacitySchedulerContext.class);
|
||||
when(csContext.getConfiguration()).thenReturn(csConf);
|
||||
when(csContext.getConf()).thenReturn(conf);
|
||||
when(csContext.getMinimumResourceCapability())
|
||||
.thenReturn(Resources.createResource(GB));
|
||||
when(csContext.getMaximumResourceCapability())
|
||||
.thenReturn(Resources.createResource(16 * GB));
|
||||
when(csContext.getNonPartitionedQueueComparator())
|
||||
.thenReturn(CapacityScheduler.nonPartitionedQueueComparator);
|
||||
when(csContext.getResourceCalculator()).thenReturn(resourceCalculator);
|
||||
RMContext rmContext = TestUtils.getMockRMContext();
|
||||
RMContext spyRMContext = spy(rmContext);
|
||||
when(spyRMContext.getNodeLabelManager()).thenReturn(mgr);
|
||||
when(csContext.getRMContext()).thenReturn(spyRMContext);
|
||||
|
||||
mgr.activateNode(NodeId.newInstance("h0", 0),
|
||||
Resource.newInstance(160 * GB, 16)); // default Label
|
||||
mgr.activateNode(NodeId.newInstance("h1", 0),
|
||||
Resource.newInstance(160 * GB, 16)); // label x
|
||||
mgr.activateNode(NodeId.newInstance("h2", 0),
|
||||
Resource.newInstance(160 * GB, 16)); // label y
|
||||
|
||||
// Say cluster has 100 nodes of 16G each
|
||||
Resource clusterResource = Resources.createResource(160 * GB);
|
||||
when(csContext.getClusterResource()).thenReturn(clusterResource);
|
||||
|
||||
Map<String, CSQueue> queues = new HashMap<String, CSQueue>();
|
||||
CSQueue rootQueue = CapacityScheduler.parseQueue(csContext, csConf, null,
|
||||
"root", queues, queues, TestUtils.spyHook);
|
||||
|
||||
ResourceUsage queueResUsage = rootQueue.getQueueResourceUsage();
|
||||
when(csContext.getClusterResourceUsage())
|
||||
.thenReturn(queueResUsage);
|
||||
|
||||
// Manipulate queue 'a'
|
||||
LeafQueue queue = TestLeafQueue.stubLeafQueue((LeafQueue) queues.get("b2"));
|
||||
queue.updateClusterResource(clusterResource,
|
||||
new ResourceLimits(clusterResource));
|
||||
|
||||
String rack_0 = "rack_0";
|
||||
FiCaSchedulerNode node_0 = TestUtils.getMockNode("h0", rack_0, 0, 160 * GB);
|
||||
FiCaSchedulerNode node_1 = TestUtils.getMockNode("h1", rack_0, 0, 160 * GB);
|
||||
|
||||
final String user_0 = "user_0";
|
||||
final String user_1 = "user_1";
|
||||
|
||||
RecordFactory recordFactory = RecordFactoryProvider.getRecordFactory(null);
|
||||
|
||||
ConcurrentMap<ApplicationId, RMApp> spyApps =
|
||||
spy(new ConcurrentHashMap<ApplicationId, RMApp>());
|
||||
RMApp rmApp = mock(RMApp.class);
|
||||
ResourceRequest amResourceRequest = mock(ResourceRequest.class);
|
||||
Resource amResource = Resources.createResource(0, 0);
|
||||
when(amResourceRequest.getCapability()).thenReturn(amResource);
|
||||
when(rmApp.getAMResourceRequest()).thenReturn(amResourceRequest);
|
||||
Mockito.doReturn(rmApp).when(spyApps).get((ApplicationId) Matchers.any());
|
||||
when(spyRMContext.getRMApps()).thenReturn(spyApps);
|
||||
RMAppAttempt rmAppAttempt = mock(RMAppAttempt.class);
|
||||
when(rmApp.getRMAppAttempt((ApplicationAttemptId) Matchers.any()))
|
||||
.thenReturn(rmAppAttempt);
|
||||
when(rmApp.getCurrentAppAttempt()).thenReturn(rmAppAttempt);
|
||||
Mockito.doReturn(rmApp).when(spyApps).get((ApplicationId) Matchers.any());
|
||||
Mockito.doReturn(true).when(spyApps)
|
||||
.containsKey((ApplicationId) Matchers.any());
|
||||
|
||||
Priority priority_1 = TestUtils.createMockPriority(1);
|
||||
|
||||
// Submit first application with some resource-requests from user_0,
|
||||
// and check headroom
|
||||
final ApplicationAttemptId appAttemptId_0_0 =
|
||||
TestUtils.getMockApplicationAttemptId(0, 0);
|
||||
FiCaSchedulerApp app_0_0 = new FiCaSchedulerApp(appAttemptId_0_0, user_0,
|
||||
queue, queue.getActiveUsersManager(), spyRMContext);
|
||||
queue.submitApplicationAttempt(app_0_0, user_0);
|
||||
|
||||
List<ResourceRequest> app_0_0_requests = new ArrayList<ResourceRequest>();
|
||||
app_0_0_requests.add(TestUtils.createResourceRequest(ResourceRequest.ANY,
|
||||
1 * GB, 2, true, priority_1, recordFactory));
|
||||
app_0_0.updateResourceRequests(app_0_0_requests);
|
||||
|
||||
// Schedule to compute
|
||||
queue.assignContainers(clusterResource, node_0,
|
||||
new ResourceLimits(clusterResource),
|
||||
SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY);
|
||||
//head room = queue capacity = 50 % 90% 160 GB
|
||||
Resource expectedHeadroom =
|
||||
Resources.createResource((int) (0.5 * 0.9 * 160) * GB, 1);
|
||||
assertEquals(expectedHeadroom, app_0_0.getHeadroom());
|
||||
|
||||
// Submit second application from user_0, check headroom
|
||||
final ApplicationAttemptId appAttemptId_0_1 =
|
||||
TestUtils.getMockApplicationAttemptId(1, 0);
|
||||
FiCaSchedulerApp app_0_1 = new FiCaSchedulerApp(appAttemptId_0_1, user_0,
|
||||
queue, queue.getActiveUsersManager(), spyRMContext);
|
||||
queue.submitApplicationAttempt(app_0_1, user_0);
|
||||
|
||||
List<ResourceRequest> app_0_1_requests = new ArrayList<ResourceRequest>();
|
||||
app_0_1_requests.add(TestUtils.createResourceRequest(ResourceRequest.ANY,
|
||||
1 * GB, 2, true, priority_1, recordFactory));
|
||||
app_0_1_requests.add(TestUtils.createResourceRequest(ResourceRequest.ANY,
|
||||
1 * GB, 2, true, priority_1, recordFactory, "y"));
|
||||
app_0_1.updateResourceRequests(app_0_1_requests);
|
||||
|
||||
// Schedule to compute
|
||||
queue.assignContainers(clusterResource, node_0,
|
||||
new ResourceLimits(clusterResource),
|
||||
SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY); // Schedule to compute
|
||||
queue.assignContainers(clusterResource, node_1,
|
||||
new ResourceLimits(clusterResource),
|
||||
SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY); // Schedule to compute
|
||||
assertEquals(expectedHeadroom, app_0_0.getHeadroom());// no change
|
||||
//head room for default label + head room for y partition
|
||||
//head room for y partition = 100% 50%(b queue capacity ) * 160 * GB
|
||||
Resource expectedHeadroomWithReqInY =
|
||||
Resources.add(Resources.createResource((int) (0.5 * 160) * GB, 1), expectedHeadroom);
|
||||
assertEquals(expectedHeadroomWithReqInY, app_0_1.getHeadroom());
|
||||
|
||||
// Submit first application from user_1, check for new headroom
|
||||
final ApplicationAttemptId appAttemptId_1_0 =
|
||||
TestUtils.getMockApplicationAttemptId(2, 0);
|
||||
FiCaSchedulerApp app_1_0 = new FiCaSchedulerApp(appAttemptId_1_0, user_1,
|
||||
queue, queue.getActiveUsersManager(), spyRMContext);
|
||||
queue.submitApplicationAttempt(app_1_0, user_1);
|
||||
|
||||
List<ResourceRequest> app_1_0_requests = new ArrayList<ResourceRequest>();
|
||||
app_1_0_requests.add(TestUtils.createResourceRequest(ResourceRequest.ANY,
|
||||
1 * GB, 2, true, priority_1, recordFactory));
|
||||
app_1_0_requests.add(TestUtils.createResourceRequest(ResourceRequest.ANY,
|
||||
1 * GB, 2, true, priority_1, recordFactory, "y"));
|
||||
app_1_0.updateResourceRequests(app_1_0_requests);
|
||||
|
||||
// Schedule to compute
|
||||
queue.assignContainers(clusterResource, node_0,
|
||||
new ResourceLimits(clusterResource),
|
||||
SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY); // Schedule to compute
|
||||
//head room = queue capacity = (50 % 90% 160 GB)/2 (for 2 users)
|
||||
expectedHeadroom =
|
||||
Resources.createResource((int) (0.5 * 0.9 * 160 * 0.5) * GB, 1);
|
||||
//head room for default label + head room for y partition
|
||||
//head room for y partition = 100% 50%(b queue capacity ) * 160 * GB
|
||||
expectedHeadroomWithReqInY =
|
||||
Resources.add(Resources.createResource((int) (0.5 * 0.5 * 160) * GB, 1),
|
||||
expectedHeadroom);
|
||||
assertEquals(expectedHeadroom, app_0_0.getHeadroom());
|
||||
assertEquals(expectedHeadroomWithReqInY, app_0_1.getHeadroom());
|
||||
assertEquals(expectedHeadroomWithReqInY, app_1_0.getHeadroom());
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -23,13 +23,10 @@ import static org.junit.Assert.assertFalse;
|
|||
import static org.junit.Assert.assertTrue;
|
||||
import static org.mockito.Matchers.any;
|
||||
import static org.mockito.Matchers.anyBoolean;
|
||||
import static org.mockito.Matchers.eq;
|
||||
import static org.mockito.Mockito.doNothing;
|
||||
import static org.mockito.Mockito.doReturn;
|
||||
import static org.mockito.Mockito.mock;
|
||||
import static org.mockito.Mockito.never;
|
||||
import static org.mockito.Mockito.spy;
|
||||
import static org.mockito.Mockito.verify;
|
||||
import static org.mockito.Mockito.when;
|
||||
|
||||
import java.io.IOException;
|
||||
|
|
@ -47,7 +44,6 @@ import java.util.concurrent.CyclicBarrier;
|
|||
import org.apache.hadoop.security.UserGroupInformation;
|
||||
import org.apache.hadoop.yarn.api.records.ApplicationAttemptId;
|
||||
import org.apache.hadoop.yarn.api.records.ApplicationId;
|
||||
import org.apache.hadoop.yarn.api.records.Container;
|
||||
import org.apache.hadoop.yarn.api.records.ContainerExitStatus;
|
||||
import org.apache.hadoop.yarn.api.records.ContainerState;
|
||||
import org.apache.hadoop.yarn.api.records.ContainerStatus;
|
||||
|
|
@ -71,6 +67,7 @@ import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ActiveUsersManage
|
|||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.NodeType;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueMetrics;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceLimits;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceUsage;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.preemption.PreemptionManager;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerNode;
|
||||
|
|
@ -91,7 +88,6 @@ import org.junit.Before;
|
|||
import org.junit.Test;
|
||||
import org.mockito.Matchers;
|
||||
import org.mockito.Mockito;
|
||||
import org.mortbay.log.Log;
|
||||
|
||||
public class TestLeafQueue {
|
||||
private final RecordFactory recordFactory =
|
||||
|
|
@ -165,6 +161,10 @@ public class TestLeafQueue {
|
|||
queues, queues,
|
||||
TestUtils.spyHook);
|
||||
|
||||
ResourceUsage queueResUsage = root.getQueueResourceUsage();
|
||||
when(csContext.getClusterResourceUsage())
|
||||
.thenReturn(queueResUsage);
|
||||
|
||||
cs.setRMContext(spyRMContext);
|
||||
cs.init(csConf);
|
||||
cs.start();
|
||||
|
|
|
|||
|
|
@ -54,6 +54,7 @@ import org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainer;
|
|||
import org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ActiveUsersManager;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceLimits;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceUsage;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt.AMState;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.preemption.PreemptionManager;
|
||||
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
|
||||
|
|
@ -138,6 +139,10 @@ public class TestReservations {
|
|||
root = CapacityScheduler.parseQueue(csContext, csConf, null,
|
||||
CapacitySchedulerConfiguration.ROOT, queues, queues, TestUtils.spyHook);
|
||||
|
||||
ResourceUsage queueResUsage = root.getQueueResourceUsage();
|
||||
when(csContext.getClusterResourceUsage())
|
||||
.thenReturn(queueResUsage);
|
||||
|
||||
spyRMContext = spy(rmContext);
|
||||
when(spyRMContext.getScheduler()).thenReturn(cs);
|
||||
when(spyRMContext.getYarnConfiguration())
|
||||
|
|
|
|||
|
|
@ -159,7 +159,7 @@ public class TestUtils {
|
|||
|
||||
public static ResourceRequest createResourceRequest(
|
||||
String resourceName, int memory, int numContainers, boolean relaxLocality,
|
||||
Priority priority, RecordFactory recordFactory) {
|
||||
Priority priority, RecordFactory recordFactory, String labelExpression) {
|
||||
ResourceRequest request =
|
||||
recordFactory.newRecordInstance(ResourceRequest.class);
|
||||
Resource capability = Resources.createResource(memory, 1);
|
||||
|
|
@ -169,10 +169,18 @@ public class TestUtils {
|
|||
request.setCapability(capability);
|
||||
request.setRelaxLocality(relaxLocality);
|
||||
request.setPriority(priority);
|
||||
request.setNodeLabelExpression(RMNodeLabelsManager.NO_LABEL);
|
||||
request.setNodeLabelExpression(labelExpression);
|
||||
return request;
|
||||
}
|
||||
|
||||
public static ResourceRequest createResourceRequest(
|
||||
String resourceName, int memory, int numContainers, boolean relaxLocality,
|
||||
Priority priority,
|
||||
RecordFactory recordFactory) {
|
||||
return createResourceRequest(resourceName, memory, numContainers,
|
||||
relaxLocality, priority, recordFactory, RMNodeLabelsManager.NO_LABEL);
|
||||
}
|
||||
|
||||
public static ApplicationId getMockApplicationId(int appId) {
|
||||
return ApplicationId.newInstance(0L, appId);
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue