YARN-9322. Store metrics for custom resource types into FSQueueMetrics and query them in FairSchedulerQueueInfo

(Contributed by Szilard Nemeth via Daniel Templeton)

Change-Id: I14c12f1265999d62102f2ec5506d90015efeefe8
This commit is contained in:
Szilard Nemeth 2019-02-27 14:23:34 -08:00 committed by Daniel Templeton
parent 1779fc57a1
commit 7b928f19a4
9 changed files with 543 additions and 86 deletions

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@ -0,0 +1,113 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.yarn.server.resourcemanager.scheduler;
import org.apache.hadoop.yarn.api.records.Resource;
import java.util.Map;
/**
* This class is a main entry-point for any kind of metrics for
* custom resources.
* It provides increase and decrease methods for all types of metrics.
*/
public class FSQueueMetricsForCustomResources {
private final QueueMetricsCustomResource fairShare =
new QueueMetricsCustomResource();
private final QueueMetricsCustomResource steadyFairShare =
new QueueMetricsCustomResource();
private final QueueMetricsCustomResource minShare =
new QueueMetricsCustomResource();
private final QueueMetricsCustomResource maxShare =
new QueueMetricsCustomResource();
private final QueueMetricsCustomResource maxAMShare =
new QueueMetricsCustomResource();
private final QueueMetricsCustomResource amResourceUsage =
new QueueMetricsCustomResource();
public QueueMetricsCustomResource getFairShare() {
return fairShare;
}
public void setFairShare(Resource res) {
fairShare.set(res);
}
public Map<String, Long> getFairShareValues() {
return fairShare.getValues();
}
public QueueMetricsCustomResource getSteadyFairShare() {
return steadyFairShare;
}
public void setSteadyFairShare(Resource res) {
steadyFairShare.set(res);
}
public Map<String, Long> getSteadyFairShareValues() {
return steadyFairShare.getValues();
}
public QueueMetricsCustomResource getMinShare() {
return minShare;
}
public void setMinShare(Resource res) {
minShare.set(res);
}
public Map<String, Long> getMinShareValues() {
return minShare.getValues();
}
public QueueMetricsCustomResource getMaxShare() {
return maxShare;
}
public void setMaxShare(Resource res) {
maxShare.set(res);
}
public Map<String, Long> getMaxShareValues() {
return maxShare.getValues();
}
public QueueMetricsCustomResource getMaxAMShare() {
return maxAMShare;
}
public void setMaxAMShare(Resource res) {
maxAMShare.set(res);
}
public Map<String, Long> getMaxAMShareValues() {
return maxAMShare.getValues();
}
public QueueMetricsCustomResource getAMResourceUsage() {
return amResourceUsage;
}
public void setAMResourceUsage(Resource res) {
amResourceUsage.set(res);
}
public Map<String, Long> getAMResourceUsageValues() {
return amResourceUsage.getValues();
}
}

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@ -46,8 +46,6 @@ import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsManager;
import org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppState;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler
.QueueMetricsForCustomResources.QueueMetricsCustomResource;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

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@ -0,0 +1,76 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.yarn.server.resourcemanager.scheduler;
import com.google.common.collect.Maps;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceInformation;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import java.util.Map;
import java.util.function.BiFunction;
/**
* Class that holds metrics values for custom resources in a map keyed with
* the name of the custom resource.
* There are different kinds of values like allocated, available and others.
*/
public class QueueMetricsCustomResource {
private final Map<String, Long> values = Maps.newHashMap();
protected void increase(Resource res) {
update(res, Long::sum);
}
void increaseWithMultiplier(Resource res, long multiplier) {
update(res, (v1, v2) -> v1 + v2 * multiplier);
}
protected void decrease(Resource res) {
update(res, (v1, v2) -> v1 - v2);
}
void decreaseWithMultiplier(Resource res, int containers) {
update(res, (v1, v2) -> v1 - v2 * containers);
}
protected void set(Resource res) {
update(res, (v1, v2) -> v2);
}
private void update(Resource res, BiFunction<Long, Long, Long> operation) {
if (ResourceUtils.getNumberOfKnownResourceTypes() > 2) {
ResourceInformation[] resources = res.getResources();
for (int i = 2; i < resources.length; i++) {
ResourceInformation resource = resources[i];
// Map.merge only applies operation if there is
// a value for the key in the map
if (!values.containsKey(resource.getName())) {
values.put(resource.getName(), 0L);
}
values.merge(resource.getName(),
resource.getValue(), operation);
}
}
}
public Map<String, Long> getValues() {
return values;
}
}

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@ -16,13 +16,9 @@
package org.apache.hadoop.yarn.server.resourcemanager.scheduler;
import com.google.common.collect.Maps;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceInformation;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import java.util.Map;
import java.util.function.BiFunction;
/**
* This class is a main entry-point for any kind of metrics for
@ -30,56 +26,6 @@ import java.util.function.BiFunction;
* It provides increase and decrease methods for all types of metrics.
*/
public class QueueMetricsForCustomResources {
/**
* Class that holds metrics values for custom resources in a map keyed with
* the name of the custom resource.
* There are different kinds of values like allocated, available and others.
*/
public static class QueueMetricsCustomResource {
private final Map<String, Long> values = Maps.newHashMap();
protected void increase(Resource res) {
update(res, Long::sum);
}
void increaseWithMultiplier(Resource res, long multiplier) {
update(res, (v1, v2) -> v1 + v2 * multiplier);
}
protected void decrease(Resource res) {
update(res, (v1, v2) -> v1 - v2);
}
void decreaseWithMultiplier(Resource res, int containers) {
update(res, (v1, v2) -> v1 - v2 * containers);
}
protected void set(Resource res) {
update(res, (v1, v2) -> v2);
}
private void update(Resource res, BiFunction<Long, Long, Long> operation) {
if (ResourceUtils.getNumberOfKnownResourceTypes() > 2) {
ResourceInformation[] resources = res.getResources();
for (int i = 2; i < resources.length; i++) {
ResourceInformation resource = resources[i];
// Map.merge only applies operation if there is
// a value for the key in the map
if (!values.containsKey(resource.getName())) {
values.put(resource.getName(), 0L);
}
values.merge(resource.getName(),
resource.getValue(), operation);
}
}
}
public Map<String, Long> getValues() {
return values;
}
}
private final QueueMetricsCustomResource aggregatePreemptedSeconds =
new QueueMetricsCustomResource();
private final QueueMetricsCustomResource allocated =

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@ -27,8 +27,10 @@ import org.apache.hadoop.metrics2.lib.DefaultMetricsSystem;
import org.apache.hadoop.metrics2.lib.MutableGaugeInt;
import org.apache.hadoop.metrics2.lib.MutableGaugeLong;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.FSQueueMetricsForCustomResources;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.Queue;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueMetrics;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
@Metrics(context="yarn")
public class FSQueueMetrics extends QueueMetrics {
@ -47,29 +49,45 @@ public class FSQueueMetrics extends QueueMetrics {
@Metric("AM resource usage of memory in MB") MutableGaugeLong amResourceUsageMB;
@Metric("AM resource usage of CPU in vcores") MutableGaugeInt amResourceUsageVCores;
private final FSQueueMetricsForCustomResources customResources;
private String schedulingPolicy;
FSQueueMetrics(MetricsSystem ms, String queueName, Queue parent,
boolean enableUserMetrics, Configuration conf) {
super(ms, queueName, parent, enableUserMetrics, conf);
if (ResourceUtils.getNumberOfKnownResourceTypes() > 2) {
this.customResources =
new FSQueueMetricsForCustomResources();
} else {
this.customResources = null;
}
}
long getFairShareMB() {
return fairShareMB.value();
}
long getFairShareVirtualCores() {
return fairShareVCores.value();
}
public Resource getFairShare() {
if (customResources != null) {
return Resource.newInstance(fairShareMB.value(),
(int) fairShareVCores.value(),
customResources.getFairShareValues());
}
return Resource.newInstance(fairShareMB.value(),
(int) fairShareVCores.value());
}
public void setFairShare(Resource resource) {
fairShareMB.set(resource.getMemorySize());
fairShareVCores.set(resource.getVirtualCores());
if (customResources != null) {
customResources.setFairShare(resource);
}
public long getFairShareMB() {
return fairShareMB.value();
}
public long getFairShareVirtualCores() {
return fairShareVCores.value();
}
public void setSteadyFairShare(Resource resource) {
steadyFairShareMB.set(resource.getMemorySize());
steadyFairShareVCores.set(resource.getVirtualCores());
}
public long getSteadyFairShareMB() {
@ -80,9 +98,22 @@ public class FSQueueMetrics extends QueueMetrics {
return steadyFairShareVCores.value();
}
public void setMinShare(Resource resource) {
minShareMB.set(resource.getMemorySize());
minShareVCores.set(resource.getVirtualCores());
public Resource getSteadyFairShare() {
if (customResources != null) {
return Resource.newInstance(steadyFairShareMB.value(),
(int) steadyFairShareVCores.value(),
customResources.getSteadyFairShareValues());
}
return Resource.newInstance(steadyFairShareMB.value(),
(int) steadyFairShareVCores.value());
}
public void setSteadyFairShare(Resource resource) {
steadyFairShareMB.set(resource.getMemorySize());
steadyFairShareVCores.set(resource.getVirtualCores());
if (customResources != null) {
customResources.setSteadyFairShare(resource);
}
}
public long getMinShareMB() {
@ -93,9 +124,22 @@ public class FSQueueMetrics extends QueueMetrics {
return minShareVCores.value();
}
public void setMaxShare(Resource resource) {
maxShareMB.set(resource.getMemorySize());
maxShareVCores.set(resource.getVirtualCores());
public Resource getMinShare() {
if (customResources != null) {
return Resource.newInstance(minShareMB.value(),
(int) minShareVCores.value(),
customResources.getMinShareValues());
}
return Resource.newInstance(minShareMB.value(),
(int) minShareVCores.value());
}
public void setMinShare(Resource resource) {
minShareMB.set(resource.getMemorySize());
minShareVCores.set(resource.getVirtualCores());
if (customResources != null) {
customResources.setMinShare(resource);
}
}
public long getMaxShareMB() {
@ -106,6 +150,24 @@ public class FSQueueMetrics extends QueueMetrics {
return maxShareVCores.value();
}
public Resource getMaxShare() {
if (customResources != null) {
return Resource.newInstance(maxShareMB.value(),
(int) maxShareVCores.value(),
customResources.getMaxShareValues());
}
return Resource.newInstance(maxShareMB.value(),
(int) maxShareVCores.value());
}
public void setMaxShare(Resource resource) {
maxShareMB.set(resource.getMemorySize());
maxShareVCores.set(resource.getVirtualCores());
if (customResources != null) {
customResources.setMaxShare(resource);
}
}
public int getMaxApps() {
return maxApps.value();
}
@ -132,6 +194,16 @@ public class FSQueueMetrics extends QueueMetrics {
return maxAMShareVCores.value();
}
public Resource getMaxAMShare() {
if (customResources != null) {
return Resource.newInstance(maxAMShareMB.value(),
maxAMShareVCores.value(),
customResources.getMaxAMShareValues());
}
return Resource.newInstance(maxAMShareMB.value(),
maxAMShareVCores.value());
}
/**
* Set the maximum resource AM can use.
*
@ -140,6 +212,9 @@ public class FSQueueMetrics extends QueueMetrics {
public void setMaxAMShare(Resource resource) {
maxAMShareMB.set(resource.getMemorySize());
maxAMShareVCores.set(resource.getVirtualCores());
if (customResources != null) {
customResources.setMaxAMShare(resource);
}
}
/**
@ -160,6 +235,16 @@ public class FSQueueMetrics extends QueueMetrics {
return amResourceUsageVCores.value();
}
public Resource getAMResourceUsage() {
if (customResources != null) {
return Resource.newInstance(amResourceUsageMB.value(),
amResourceUsageVCores.value(),
customResources.getAMResourceUsageValues());
}
return Resource.newInstance(amResourceUsageMB.value(),
amResourceUsageVCores.value());
}
/**
* Set the AM resource usage.
*
@ -168,6 +253,9 @@ public class FSQueueMetrics extends QueueMetrics {
public void setAMResourceUsage(Resource resource) {
amResourceUsageMB.set(resource.getMemorySize());
amResourceUsageVCores.set(resource.getVirtualCores());
if (customResources != null) {
customResources.setAMResourceUsage(resource);
}
}
/**

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@ -27,8 +27,6 @@ import javax.xml.bind.annotation.XmlAccessorType;
import javax.xml.bind.annotation.XmlRootElement;
import javax.xml.bind.annotation.XmlSeeAlso;
import javax.xml.bind.annotation.XmlTransient;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AllocationConfiguration;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSLeafQueue;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSQueue;
@ -83,12 +81,8 @@ public class FairSchedulerQueueInfo {
clusterResources = new ResourceInfo(scheduler.getClusterResource());
amUsedResources = new ResourceInfo(Resource.newInstance(
queue.getMetrics().getAMResourceUsageMB(),
queue.getMetrics().getAMResourceUsageVCores()));
amMaxResources = new ResourceInfo(Resource.newInstance(
queue.getMetrics().getMaxAMShareMB(),
queue.getMetrics().getMaxAMShareVCores()));
amUsedResources = new ResourceInfo(queue.getMetrics().getAMResourceUsage());
amMaxResources = new ResourceInfo(queue.getMetrics().getMaxAMShare());
usedResources = new ResourceInfo(queue.getResourceUsage());
demandResources = new ResourceInfo(queue.getDemand());
fractionMemUsed = (float)usedResources.getMemorySize() /

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@ -45,7 +45,6 @@ public class ResourceInfo {
}
public ResourceInfo(Resource res) {
// Make sure no NPE.
if (res != null) {
memory = res.getMemorySize();
vCores = res.getVirtualCores();

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@ -30,8 +30,6 @@ import org.apache.hadoop.yarn.resourcetypes.ResourceTypesTestHelper;
import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsManager;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler
.QueueMetricsForCustomResources.QueueMetricsCustomResource;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import org.junit.Before;
import org.junit.Test;

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@ -18,17 +18,23 @@
package org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair;
import com.google.common.collect.ImmutableMap;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.metrics2.MetricsSource;
import org.apache.hadoop.metrics2.MetricsSystem;
import org.apache.hadoop.metrics2.impl.MetricsCollectorImpl;
import org.apache.hadoop.metrics2.impl.MetricsRecords;
import org.apache.hadoop.metrics2.impl.MetricsSystemImpl;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.QueueMetrics;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.TestQueueMetrics;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
/**
* The test class for {@link FSQueueMetrics}.
*/
@ -36,12 +42,26 @@ public class TestFSQueueMetrics {
private static final Configuration CONF = new Configuration();
private MetricsSystem ms;
private static final String RESOURCE_NAME = "test1";
private static final String QUEUE_NAME = "single";
@Before public void setUp() {
@Before
public void setUp() {
ms = new MetricsSystemImpl();
QueueMetrics.clearQueueMetrics();
}
private FSQueueMetrics setupMetrics(String resourceName) {
CONF.set(YarnConfiguration.RESOURCE_TYPES, resourceName);
ResourceUtils.resetResourceTypes(CONF);
return FSQueueMetrics.forQueue(ms, QUEUE_NAME, null, false, CONF);
}
private String getErrorMessage(String metricsType) {
return metricsType + " is not the expected!";
}
/**
* Test if the metric scheduling policy is set correctly.
*/
@ -66,4 +86,229 @@ public class TestFSQueueMetrics {
MetricsRecords.assertTag(collector.getRecords().get(0), "SchedulingPolicy",
policy);
}
@Test
public void testSetFairShare() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
Resource res = Resource.newInstance(2048L, 4, ImmutableMap.of(RESOURCE_NAME,
20L));
metrics.setFairShare(res);
assertEquals(getErrorMessage("fairShareMB"),
2048L, metrics.getFairShareMB());
assertEquals(getErrorMessage("fairShareVcores"),
4L, metrics.getFairShareVirtualCores());
assertEquals(getErrorMessage("fairShareMB"),
2048L, metrics.getFairShare().getMemorySize());
assertEquals(getErrorMessage("fairShareVcores"),
4L, metrics.getFairShare().getVirtualCores());
assertEquals(getErrorMessage("fairShare for resource: " + RESOURCE_NAME),
20L, metrics.getFairShare().getResourceValue(RESOURCE_NAME));
res = Resource.newInstance(2049L, 5);
metrics.setFairShare(res);
assertEquals(getErrorMessage("fairShareMB"),
2049L, metrics.getFairShareMB());
assertEquals(getErrorMessage("fairShareVcores"),
5L, metrics.getFairShareVirtualCores());
assertEquals(getErrorMessage("fairShareMB"),
2049L, metrics.getFairShare().getMemorySize());
assertEquals(getErrorMessage("fairShareVcores"),
5L, metrics.getFairShare().getVirtualCores());
assertEquals(getErrorMessage("fairShare for resource: " + RESOURCE_NAME),
0, metrics.getFairShare().getResourceValue(RESOURCE_NAME));
}
@Test
public void testSetSteadyFairShare() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
Resource res = Resource.newInstance(2048L, 4, ImmutableMap.of(RESOURCE_NAME,
20L));
metrics.setSteadyFairShare(res);
assertEquals(getErrorMessage("steadyFairShareMB"),
2048L, metrics.getSteadyFairShareMB());
assertEquals(getErrorMessage("steadyFairShareVcores"),
4L, metrics.getSteadyFairShareVCores());
Resource steadyFairShare = metrics.getSteadyFairShare();
assertEquals(getErrorMessage("steadyFairShareMB"),
2048L, steadyFairShare.getMemorySize());
assertEquals(getErrorMessage("steadyFairShareVcores"),
4L, steadyFairShare.getVirtualCores());
assertEquals(getErrorMessage("steadyFairShare for resource: " +
RESOURCE_NAME),
20L, steadyFairShare.getResourceValue(RESOURCE_NAME));
res = Resource.newInstance(2049L, 5);
metrics.setSteadyFairShare(res);
assertEquals(getErrorMessage("steadyFairShareMB"),
2049L, metrics.getSteadyFairShareMB());
assertEquals(getErrorMessage("steadyFairShareVcores"),
5L, metrics.getSteadyFairShareVCores());
steadyFairShare = metrics.getSteadyFairShare();
assertEquals(getErrorMessage("steadyFairShareMB"),
2049L, steadyFairShare.getMemorySize());
assertEquals(getErrorMessage("steadyFairShareVcores"),
5L, steadyFairShare.getVirtualCores());
assertEquals(getErrorMessage("steadyFairShare for resource: " +
RESOURCE_NAME),
0, steadyFairShare.getResourceValue(RESOURCE_NAME));
}
@Test
public void testSetMinShare() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
Resource res = Resource.newInstance(2048L, 4, ImmutableMap.of(RESOURCE_NAME,
20L));
metrics.setMinShare(res);
assertEquals(getErrorMessage("minShareMB"),
2048L, metrics.getMinShareMB());
assertEquals(getErrorMessage("minShareVcores"),
4L, metrics.getMinShareVirtualCores());
assertEquals(getErrorMessage("minShareMB"),
2048L, metrics.getMinShare().getMemorySize());
assertEquals(getErrorMessage("minShareVcores"),
4L, metrics.getMinShare().getVirtualCores());
assertEquals(getErrorMessage("minShare for resource: " + RESOURCE_NAME),
20L, metrics.getMinShare().getResourceValue(RESOURCE_NAME));
res = Resource.newInstance(2049L, 5);
metrics.setMinShare(res);
assertEquals(getErrorMessage("minShareMB"),
2049L, metrics.getMinShareMB());
assertEquals(getErrorMessage("minShareVcores"),
5L, metrics.getMinShareVirtualCores());
assertEquals(getErrorMessage("minShareMB"),
2049L, metrics.getMinShare().getMemorySize());
assertEquals(getErrorMessage("minShareVcores"),
5L, metrics.getMinShare().getVirtualCores());
assertEquals(getErrorMessage("minShare for resource: " + RESOURCE_NAME),
0, metrics.getMinShare().getResourceValue(RESOURCE_NAME));
}
@Test
public void testSetMaxShare() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
Resource res = Resource.newInstance(2048L, 4, ImmutableMap.of(RESOURCE_NAME,
20L));
metrics.setMaxShare(res);
assertEquals(getErrorMessage("maxShareMB"),
2048L, metrics.getMaxShareMB());
assertEquals(getErrorMessage("maxShareVcores"),
4L, metrics.getMaxShareVirtualCores());
assertEquals(getErrorMessage("maxShareMB"),
2048L, metrics.getMaxShare().getMemorySize());
assertEquals(getErrorMessage("maxShareVcores"),
4L, metrics.getMaxShare().getVirtualCores());
assertEquals(getErrorMessage("maxShare for resource: " + RESOURCE_NAME),
20L, metrics.getMaxShare().getResourceValue(RESOURCE_NAME));
res = Resource.newInstance(2049L, 5);
metrics.setMaxShare(res);
assertEquals(getErrorMessage("maxShareMB"),
2049L, metrics.getMaxShareMB());
assertEquals(getErrorMessage("maxShareVcores"),
5L, metrics.getMaxShareVirtualCores());
assertEquals(getErrorMessage("maxShareMB"),
2049L, metrics.getMaxShare().getMemorySize());
assertEquals(getErrorMessage("maxShareVcores"),
5L, metrics.getMaxShare().getVirtualCores());
assertEquals(getErrorMessage("maxShare for resource: " + RESOURCE_NAME),
0, metrics.getMaxShare().getResourceValue(RESOURCE_NAME));
}
@Test
public void testSetMaxAMShare() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
Resource res = Resource.newInstance(2048L, 4, ImmutableMap.of(RESOURCE_NAME,
20L));
metrics.setMaxAMShare(res);
assertEquals(getErrorMessage("maxAMShareMB"),
2048L, metrics.getMaxAMShareMB());
assertEquals(getErrorMessage("maxAMShareVcores"),
4L, metrics.getMaxAMShareVCores());
assertEquals(getErrorMessage("maxAMShareMB"),
2048L, metrics.getMaxAMShare().getMemorySize());
assertEquals(getErrorMessage("maxAMShareVcores"),
4L, metrics.getMaxAMShare().getVirtualCores());
assertEquals(getErrorMessage(
"maxAMShare for resource: " + RESOURCE_NAME),
20L, metrics.getMaxAMShare().getResourceValue(RESOURCE_NAME));
res = Resource.newInstance(2049L, 5);
metrics.setMaxAMShare(res);
assertEquals(getErrorMessage("maxAMShareMB"),
2049L, metrics.getMaxAMShareMB());
assertEquals(getErrorMessage("maxAMShareVcores"),
5L, metrics.getMaxAMShareVCores());
assertEquals(getErrorMessage("maxAMShareMB"),
2049L, metrics.getMaxAMShare().getMemorySize());
assertEquals(getErrorMessage("maxAMShareVcores"),
5L, metrics.getMaxAMShare().getVirtualCores());
assertEquals(getErrorMessage(
"maxAMShare for resource: " + RESOURCE_NAME),
0, metrics.getMaxAMShare().getResourceValue(RESOURCE_NAME));
}
@Test
public void testSetAMResourceUsage() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
Resource res = Resource.newInstance(2048L, 4, ImmutableMap.of(RESOURCE_NAME,
20L));
metrics.setAMResourceUsage(res);
assertEquals(getErrorMessage("AMResourceUsageMB"),
2048L, metrics.getAMResourceUsageMB());
assertEquals(getErrorMessage("AMResourceUsageVcores"),
4L, metrics.getAMResourceUsageVCores());
Resource amResourceUsage = metrics.getAMResourceUsage();
assertEquals(getErrorMessage("AMResourceUsageMB"),
2048L, amResourceUsage.getMemorySize());
assertEquals(getErrorMessage("AMResourceUsageVcores"),
4L, amResourceUsage.getVirtualCores());
assertEquals(getErrorMessage("AMResourceUsage for resource: " +
RESOURCE_NAME),
20L, amResourceUsage.getResourceValue(RESOURCE_NAME));
res = Resource.newInstance(2049L, 5);
metrics.setAMResourceUsage(res);
assertEquals(getErrorMessage("AMResourceUsageMB"),
2049L, metrics.getAMResourceUsageMB());
assertEquals(getErrorMessage("AMResourceUsageVcores"),
5L, metrics.getAMResourceUsageVCores());
amResourceUsage = metrics.getAMResourceUsage();
assertEquals(getErrorMessage("AMResourceUsageMB"),
2049L, amResourceUsage.getMemorySize());
assertEquals(getErrorMessage("AMResourceUsageVcores"),
5L, amResourceUsage.getVirtualCores());
assertEquals(getErrorMessage("AMResourceUsage for resource: " +
RESOURCE_NAME),
0, amResourceUsage.getResourceValue(RESOURCE_NAME));
}
@Test
public void testSetMaxApps() {
FSQueueMetrics metrics = setupMetrics(RESOURCE_NAME);
metrics.setMaxApps(25);
assertEquals(getErrorMessage("maxApps"), 25L, metrics.getMaxApps());
}
}