YARN-883. Expose Fair Scheduler-specific queue metrics. (sandyr via tucu)
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/branches/branch-2@1497885 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Alejandro Abdelnur
parent
5d45387c00
commit
1731028a94
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@ -24,6 +24,9 @@ Release 2.2.0 - UNRELEASED
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YARN-736. Add a multi-resource fair sharing metric. (sandyr via tucu)
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YARN-883. Expose Fair Scheduler-specific queue metrics. (sandyr via tucu)
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OPTIMIZATIONS
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BUG FIXES
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@ -80,7 +80,7 @@ public class QueueMetrics implements MetricsSource {
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static final Logger LOG = LoggerFactory.getLogger(QueueMetrics.class);
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static final MetricsInfo RECORD_INFO = info("QueueMetrics",
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"Metrics for the resource scheduler");
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static final MetricsInfo QUEUE_INFO = info("Queue", "Metrics by queue");
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protected static final MetricsInfo QUEUE_INFO = info("Queue", "Metrics by queue");
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static final MetricsInfo USER_INFO = info("User", "Metrics by user");
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static final Splitter Q_SPLITTER =
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Splitter.on('.').omitEmptyStrings().trimResults();
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@ -92,7 +92,7 @@ public class QueueMetrics implements MetricsSource {
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private final Map<String, QueueMetrics> users;
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private final Configuration conf;
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QueueMetrics(MetricsSystem ms, String queueName, Queue parent,
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protected QueueMetrics(MetricsSystem ms, String queueName, Queue parent,
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boolean enableUserMetrics, Configuration conf) {
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registry = new MetricsRegistry(RECORD_INFO);
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this.queueName = queueName;
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@ -104,12 +104,12 @@ public class QueueMetrics implements MetricsSource {
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runningTime = buildBuckets(conf);
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}
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QueueMetrics tag(MetricsInfo info, String value) {
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protected QueueMetrics tag(MetricsInfo info, String value) {
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registry.tag(info, value);
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return this;
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}
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static StringBuilder sourceName(String queueName) {
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protected static StringBuilder sourceName(String queueName) {
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StringBuilder sb = new StringBuilder(RECORD_INFO.name());
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int i = 0;
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for (String node : Q_SPLITTER.split(queueName)) {
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@ -128,7 +128,7 @@ public class QueueMetrics implements MetricsSource {
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// this method is here because we want to make sure these metrics show up on
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// queue registration.
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private void initMetrics() {
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public void initMetrics() {
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appsSubmitted.incr(0);
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appsRunning.incr(0);
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appsPending.incr(0);
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@ -149,7 +149,7 @@ public class QueueMetrics implements MetricsSource {
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/**
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* Simple metrics cache to help prevent re-registrations.
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*/
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private static Map<String, QueueMetrics> queueMetrics =
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protected final static Map<String, QueueMetrics> queueMetrics =
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new HashMap<String, QueueMetrics>();
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public synchronized
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@ -254,13 +254,6 @@ public class AppSchedulable extends Schedulable {
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}
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return Resources.none();
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}
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else {
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// TODO this should subtract resource just assigned
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// TEMPROARY
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getMetrics().setAvailableResourcesToQueue(
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scheduler.getClusterCapacity());
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}
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// If we had previously made a reservation, delete it
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if (reserved) {
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@ -58,7 +58,7 @@ public class FSParentQueue extends FSQueue {
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public void recomputeShares() {
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policy.computeShares(childQueues, getFairShare());
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for (FSQueue childQueue : childQueues) {
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childQueue.getMetrics().setAvailableResourcesToQueue(childQueue.getFairShare());
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childQueue.getMetrics().setFairShare(childQueue.getFairShare());
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childQueue.recomputeShares();
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}
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}
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@ -36,7 +36,6 @@ 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.resource.ResourceWeights;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.Queue;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueMetrics;
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import org.apache.hadoop.yarn.util.resource.Resources;
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@Private
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@ -45,7 +44,7 @@ public abstract class FSQueue extends Schedulable implements Queue {
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private final String name;
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private final QueueManager queueMgr;
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private final FairScheduler scheduler;
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private final QueueMetrics metrics;
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private final FSQueueMetrics metrics;
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protected final FSParentQueue parent;
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protected final RecordFactory recordFactory =
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@ -58,7 +57,9 @@ public abstract class FSQueue extends Schedulable implements Queue {
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this.name = name;
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this.queueMgr = queueMgr;
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this.scheduler = scheduler;
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this.metrics = QueueMetrics.forQueue(getName(), parent, true, scheduler.getConf());
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this.metrics = FSQueueMetrics.forQueue(getName(), parent, true, scheduler.getConf());
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metrics.setMinShare(getMinShare());
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metrics.setMaxShare(getMaxShare());
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this.parent = parent;
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}
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@ -141,10 +142,16 @@ public abstract class FSQueue extends Schedulable implements Queue {
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}
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@Override
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public QueueMetrics getMetrics() {
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public FSQueueMetrics getMetrics() {
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return metrics;
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}
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@Override
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public void setFairShare(Resource fairShare) {
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super.setFairShare(fairShare);
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metrics.setFairShare(fairShare);
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}
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public boolean hasAccess(QueueACL acl, UserGroupInformation user) {
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// Check if the leaf-queue allows access
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if (queueMgr.getQueueAcls(getName()).get(acl).isUserAllowed(user)) {
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@ -0,0 +1,105 @@
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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.conf.Configuration;
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import org.apache.hadoop.metrics2.MetricsSystem;
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import org.apache.hadoop.metrics2.annotation.Metric;
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import org.apache.hadoop.metrics2.lib.DefaultMetricsSystem;
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import org.apache.hadoop.metrics2.lib.MutableGaugeInt;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.Queue;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueMetrics;
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public class FSQueueMetrics extends QueueMetrics {
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@Metric("Fair share of memory in MB") MutableGaugeInt fairShareMB;
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@Metric("Fair share of CPU in vcores") MutableGaugeInt fairShareVCores;
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@Metric("Minimum share of memory in MB") MutableGaugeInt minShareMB;
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@Metric("Minimum share of CPU in vcores") MutableGaugeInt minShareVCores;
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@Metric("Maximum share of memory in MB") MutableGaugeInt maxShareMB;
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@Metric("Maximum share of CPU in vcores") MutableGaugeInt maxShareVCores;
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FSQueueMetrics(MetricsSystem ms, String queueName, Queue parent,
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boolean enableUserMetrics, Configuration conf) {
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super(ms, queueName, parent, enableUserMetrics, conf);
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}
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public void setFairShare(Resource resource) {
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fairShareMB.set(resource.getMemory());
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fairShareVCores.set(resource.getVirtualCores());
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}
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public int getFairShareMB() {
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return fairShareMB.value();
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}
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public int getFairShareVirtualCores() {
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return fairShareVCores.value();
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}
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public void setMinShare(Resource resource) {
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minShareMB.set(resource.getMemory());
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minShareVCores.set(resource.getVirtualCores());
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}
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public int getMinShareMB() {
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return minShareMB.value();
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}
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public int getMinShareVirtualCores() {
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return minShareVCores.value();
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}
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public void setMaxShare(Resource resource) {
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maxShareMB.set(resource.getMemory());
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maxShareVCores.set(resource.getVirtualCores());
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}
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public int getMaxShareMB() {
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return maxShareMB.value();
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}
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public int getMaxShareVirtualCores() {
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return maxShareVCores.value();
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}
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public synchronized
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static FSQueueMetrics forQueue(String queueName, Queue parent,
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boolean enableUserMetrics, Configuration conf) {
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MetricsSystem ms = DefaultMetricsSystem.instance();
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QueueMetrics metrics = queueMetrics.get(queueName);
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if (metrics == null) {
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metrics = new FSQueueMetrics(ms, queueName, parent, enableUserMetrics, conf)
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.tag(QUEUE_INFO, queueName);
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// Register with the MetricsSystems
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if (ms != null) {
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metrics = ms.register(
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sourceName(queueName).toString(),
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"Metrics for queue: " + queueName, metrics);
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metrics.initMetrics();
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}
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queueMetrics.put(queueName, metrics);
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}
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return (FSQueueMetrics)metrics;
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}
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}
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@ -142,7 +142,7 @@ public class FairScheduler implements ResourceScheduler {
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new Allocation(EMPTY_CONTAINER_LIST, Resources.createResource(0));
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// Aggregate metrics
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QueueMetrics rootMetrics;
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FSQueueMetrics rootMetrics;
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// Time when we last updated preemption vars
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protected long lastPreemptionUpdateTime;
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@ -1045,7 +1045,7 @@ public class FairScheduler implements ResourceScheduler {
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waitTimeBeforeKill = this.conf.getWaitTimeBeforeKill();
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if (!initialized) {
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rootMetrics = QueueMetrics.forQueue("root", null, true, conf);
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rootMetrics = FSQueueMetrics.forQueue("root", null, true, conf);
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this.rmContext = rmContext;
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this.eventLog = new FairSchedulerEventLog();
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eventLog.init(this.conf);
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@ -390,6 +390,13 @@ public class QueueManager {
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queueMaxAppsDefault, defaultSchedPolicy, minSharePreemptionTimeouts,
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queueAcls, fairSharePreemptionTimeout, defaultMinSharePreemptionTimeout);
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// Update metrics
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for (FSQueue queue : queues.values()) {
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FSQueueMetrics queueMetrics = queue.getMetrics();
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queueMetrics.setMinShare(queue.getMinShare());
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queueMetrics.setMaxShare(queue.getMaxShare());
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}
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// Root queue should have empty ACLs. As a queue's ACL is the union of
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// its ACL and all its parents' ACLs, setting the roots' to empty will
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// neither allow nor prohibit more access to its children.
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@ -73,7 +73,7 @@ public class FairSchedulerPage extends RmView {
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if (maxApps < Integer.MAX_VALUE) {
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ri._("Max Running Applications:", qinfo.getMaxApplications());
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}
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ri._("Fair Share:", qinfo.getFairShare());
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ri._("Fair Share:", qinfo.getFairShare().toString());
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html._(InfoBlock.class);
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@ -95,8 +95,8 @@ public class FairSchedulerPage extends RmView {
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UL<Hamlet> ul = html.ul("#pq");
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for (FairSchedulerQueueInfo info : subQueues) {
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float capacity = info.getMaxResourcesFraction();
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float fairShare = info.getFairShareFraction();
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float used = info.getUsedFraction();
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float fairShare = info.getFairShareMemoryFraction();
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float used = info.getUsedMemoryFraction();
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LI<UL<Hamlet>> li = ul.
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li().
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a(_Q).$style(width(capacity * Q_MAX_WIDTH)).
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@ -150,7 +150,7 @@ public class FairSchedulerPage extends RmView {
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} else {
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FairSchedulerInfo sinfo = new FairSchedulerInfo(fs);
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fsqinfo.qinfo = sinfo.getRootQueueInfo();
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float used = fsqinfo.qinfo.getUsedFraction();
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float used = fsqinfo.qinfo.getUsedMemoryFraction();
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ul.
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li().$style("margin-bottom: 1em").
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@ -30,20 +30,18 @@ import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.QueueManager
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import org.apache.hadoop.yarn.util.resource.Resources;
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public class FairSchedulerQueueInfo {
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private int fairShare;
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private int minShare;
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private int maxShare;
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private int clusterMaxMem;
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private int maxApps;
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private float fractionUsed;
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private float fractionFairShare;
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private float fractionMinShare;
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private float fractionMemUsed;
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private float fractionMemFairShare;
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private float fractionMemMinShare;
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private float fractionMemMaxShare;
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private Resource minResources;
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private Resource maxResources;
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private Resource usedResources;
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private Resource fairResources;
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private Resource clusterResources;
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private String queueName;
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@ -54,23 +52,20 @@ public class FairSchedulerQueueInfo {
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queueName = queue.getName();
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Resource clusterMax = scheduler.getClusterCapacity();
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clusterMaxMem = clusterMax.getMemory();
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clusterResources = scheduler.getClusterCapacity();
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usedResources = queue.getResourceUsage();
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fractionUsed = (float)usedResources.getMemory() / clusterMaxMem;
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fractionMemUsed = (float)usedResources.getMemory() /
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clusterResources.getMemory();
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fairShare = queue.getFairShare().getMemory();
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fairResources = queue.getFairShare();
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minResources = queue.getMinShare();
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minShare = minResources.getMemory();
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maxResources = scheduler.getQueueManager().getMaxResources(queueName);
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if (maxResources.getMemory() > clusterMaxMem) {
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maxResources = Resources.createResource(clusterMaxMem);
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}
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maxShare = maxResources.getMemory();
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maxResources = queue.getMaxShare();
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maxResources = Resources.componentwiseMin(maxResources, clusterResources);
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fractionFairShare = (float)fairShare / clusterMaxMem;
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fractionMinShare = (float)minShare / clusterMaxMem;
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fractionMemFairShare = (float)fairResources.getMemory() / clusterResources.getMemory();
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fractionMemMinShare = (float)minResources.getMemory() / clusterResources.getMemory();
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fractionMemMaxShare = (float)maxResources.getMemory() / clusterResources.getMemory();
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maxApps = manager.getQueueMaxApps(queueName);
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@ -88,15 +83,15 @@ public class FairSchedulerQueueInfo {
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/**
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* Returns the fair share as a fraction of the entire cluster capacity.
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*/
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public float getFairShareFraction() {
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return fractionFairShare;
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public float getFairShareMemoryFraction() {
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return fractionMemFairShare;
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}
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/**
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* Returns the fair share of this queue in megabytes.
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*/
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public int getFairShare() {
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return fairShare;
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public Resource getFairShare() {
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return fairResources;
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}
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public Resource getMinResources() {
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@ -123,16 +118,16 @@ public class FairSchedulerQueueInfo {
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* Returns the queue's min share in as a fraction of the entire
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* cluster capacity.
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*/
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public float getMinShareFraction() {
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return fractionMinShare;
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public float getMinShareMemoryFraction() {
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return fractionMemMinShare;
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}
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/**
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* Returns the memory used by this queue as a fraction of the entire
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* cluster capacity.
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*/
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public float getUsedFraction() {
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return fractionUsed;
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public float getUsedMemoryFraction() {
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return fractionMemUsed;
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}
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/**
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@ -140,7 +135,7 @@ public class FairSchedulerQueueInfo {
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* capacity.
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*/
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public float getMaxResourcesFraction() {
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return (float)maxShare / clusterMaxMem;
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return fractionMemMaxShare;
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}
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public Collection<FairSchedulerQueueInfo> getChildQueues() {
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@ -53,6 +53,7 @@ public class TestFSLeafQueue {
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String queueName = "root.queue1";
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QueueManager mockMgr = mock(QueueManager.class);
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when(mockMgr.getMaxResources(queueName)).thenReturn(maxResource);
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when(mockMgr.getMinResources(queueName)).thenReturn(Resources.none());
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schedulable = new FSLeafQueue(queueName, mockMgr, scheduler, null);
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}
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@ -378,6 +378,7 @@ public class TestFairScheduler {
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// Divided three ways - betwen the two queues and the default queue
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for (FSLeafQueue p : queues) {
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assertEquals(3414, p.getFairShare().getMemory());
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assertEquals(3414, p.getMetrics().getFairShareMB());
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}
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}
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@ -406,8 +407,11 @@ public class TestFairScheduler {
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FSLeafQueue queue2 = queueManager.getLeafQueue("parent.queue2");
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FSLeafQueue queue3 = queueManager.getLeafQueue("parent.queue3");
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assertEquals(capacity / 2, queue1.getFairShare().getMemory());
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assertEquals(capacity / 2, queue1.getMetrics().getFairShareMB());
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assertEquals(capacity / 4, queue2.getFairShare().getMemory());
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assertEquals(capacity / 4, queue2.getMetrics().getFairShareMB());
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assertEquals(capacity / 4, queue3.getFairShare().getMemory());
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assertEquals(capacity / 4, queue3.getMetrics().getFairShareMB());
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}
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@Test
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