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
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@ -0,0 +1,113 @@
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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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* http://www.apache.org/licenses/LICENSE-2.0
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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;
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import org.apache.hadoop.yarn.api.records.Resource;
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import java.util.Map;
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/**
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* This class is a main entry-point for any kind of metrics for
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* custom resources.
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* It provides increase and decrease methods for all types of metrics.
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*/
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public class FSQueueMetricsForCustomResources {
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private final QueueMetricsCustomResource fairShare =
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new QueueMetricsCustomResource();
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private final QueueMetricsCustomResource steadyFairShare =
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new QueueMetricsCustomResource();
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private final QueueMetricsCustomResource minShare =
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new QueueMetricsCustomResource();
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private final QueueMetricsCustomResource maxShare =
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new QueueMetricsCustomResource();
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private final QueueMetricsCustomResource maxAMShare =
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new QueueMetricsCustomResource();
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private final QueueMetricsCustomResource amResourceUsage =
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new QueueMetricsCustomResource();
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public QueueMetricsCustomResource getFairShare() {
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return fairShare;
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}
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public void setFairShare(Resource res) {
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fairShare.set(res);
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}
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public Map<String, Long> getFairShareValues() {
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return fairShare.getValues();
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}
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public QueueMetricsCustomResource getSteadyFairShare() {
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return steadyFairShare;
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}
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public void setSteadyFairShare(Resource res) {
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steadyFairShare.set(res);
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}
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public Map<String, Long> getSteadyFairShareValues() {
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return steadyFairShare.getValues();
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}
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public QueueMetricsCustomResource getMinShare() {
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return minShare;
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}
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public void setMinShare(Resource res) {
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minShare.set(res);
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}
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public Map<String, Long> getMinShareValues() {
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return minShare.getValues();
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}
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public QueueMetricsCustomResource getMaxShare() {
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return maxShare;
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}
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public void setMaxShare(Resource res) {
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maxShare.set(res);
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}
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public Map<String, Long> getMaxShareValues() {
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return maxShare.getValues();
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}
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public QueueMetricsCustomResource getMaxAMShare() {
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return maxAMShare;
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}
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public void setMaxAMShare(Resource res) {
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maxAMShare.set(res);
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}
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public Map<String, Long> getMaxAMShareValues() {
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return maxAMShare.getValues();
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}
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public QueueMetricsCustomResource getAMResourceUsage() {
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return amResourceUsage;
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}
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public void setAMResourceUsage(Resource res) {
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amResourceUsage.set(res);
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}
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public Map<String, Long> getAMResourceUsageValues() {
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return amResourceUsage.getValues();
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}
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}
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@ -46,8 +46,6 @@ import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.conf.YarnConfiguration;
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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.RMAppState;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler
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.QueueMetricsForCustomResources.QueueMetricsCustomResource;
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import org.apache.hadoop.yarn.util.resource.ResourceUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@ -0,0 +1,76 @@
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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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* http://www.apache.org/licenses/LICENSE-2.0
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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;
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import com.google.common.collect.Maps;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.api.records.ResourceInformation;
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import org.apache.hadoop.yarn.util.resource.ResourceUtils;
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import java.util.Map;
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import java.util.function.BiFunction;
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/**
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* Class that holds metrics values for custom resources in a map keyed with
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* the name of the custom resource.
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* There are different kinds of values like allocated, available and others.
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*/
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public class QueueMetricsCustomResource {
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private final Map<String, Long> values = Maps.newHashMap();
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protected void increase(Resource res) {
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update(res, Long::sum);
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}
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void increaseWithMultiplier(Resource res, long multiplier) {
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update(res, (v1, v2) -> v1 + v2 * multiplier);
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}
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protected void decrease(Resource res) {
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update(res, (v1, v2) -> v1 - v2);
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}
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void decreaseWithMultiplier(Resource res, int containers) {
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update(res, (v1, v2) -> v1 - v2 * containers);
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}
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protected void set(Resource res) {
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update(res, (v1, v2) -> v2);
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}
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private void update(Resource res, BiFunction<Long, Long, Long> operation) {
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if (ResourceUtils.getNumberOfKnownResourceTypes() > 2) {
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ResourceInformation[] resources = res.getResources();
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for (int i = 2; i < resources.length; i++) {
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ResourceInformation resource = resources[i];
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// Map.merge only applies operation if there is
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// a value for the key in the map
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if (!values.containsKey(resource.getName())) {
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values.put(resource.getName(), 0L);
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}
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values.merge(resource.getName(),
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resource.getValue(), operation);
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}
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}
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}
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public Map<String, Long> getValues() {
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return values;
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}
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}
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@ -16,13 +16,9 @@
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package org.apache.hadoop.yarn.server.resourcemanager.scheduler;
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import com.google.common.collect.Maps;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.api.records.ResourceInformation;
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import org.apache.hadoop.yarn.util.resource.ResourceUtils;
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import java.util.Map;
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import java.util.function.BiFunction;
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/**
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* This class is a main entry-point for any kind of metrics for
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@ -30,56 +26,6 @@ import java.util.function.BiFunction;
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* It provides increase and decrease methods for all types of metrics.
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*/
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public class QueueMetricsForCustomResources {
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/**
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* Class that holds metrics values for custom resources in a map keyed with
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* the name of the custom resource.
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* There are different kinds of values like allocated, available and others.
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*/
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public static class QueueMetricsCustomResource {
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private final Map<String, Long> values = Maps.newHashMap();
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protected void increase(Resource res) {
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update(res, Long::sum);
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}
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void increaseWithMultiplier(Resource res, long multiplier) {
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update(res, (v1, v2) -> v1 + v2 * multiplier);
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}
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protected void decrease(Resource res) {
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update(res, (v1, v2) -> v1 - v2);
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}
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void decreaseWithMultiplier(Resource res, int containers) {
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update(res, (v1, v2) -> v1 - v2 * containers);
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}
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protected void set(Resource res) {
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update(res, (v1, v2) -> v2);
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}
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private void update(Resource res, BiFunction<Long, Long, Long> operation) {
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if (ResourceUtils.getNumberOfKnownResourceTypes() > 2) {
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ResourceInformation[] resources = res.getResources();
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for (int i = 2; i < resources.length; i++) {
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ResourceInformation resource = resources[i];
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// Map.merge only applies operation if there is
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// a value for the key in the map
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if (!values.containsKey(resource.getName())) {
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values.put(resource.getName(), 0L);
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}
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values.merge(resource.getName(),
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resource.getValue(), operation);
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}
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}
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}
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public Map<String, Long> getValues() {
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return values;
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}
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}
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private final QueueMetricsCustomResource aggregatePreemptedSeconds =
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new QueueMetricsCustomResource();
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private final QueueMetricsCustomResource allocated =
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@ -27,8 +27,10 @@ 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.metrics2.lib.MutableGaugeLong;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.FSQueueMetricsForCustomResources;
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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.ResourceUtils;
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@Metrics(context="yarn")
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public class FSQueueMetrics extends QueueMetrics {
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@ -47,29 +49,45 @@ public class FSQueueMetrics extends QueueMetrics {
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@Metric("AM resource usage of memory in MB") MutableGaugeLong amResourceUsageMB;
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@Metric("AM resource usage of CPU in vcores") MutableGaugeInt amResourceUsageVCores;
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private final FSQueueMetricsForCustomResources customResources;
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private String schedulingPolicy;
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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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if (ResourceUtils.getNumberOfKnownResourceTypes() > 2) {
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this.customResources =
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new FSQueueMetricsForCustomResources();
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} else {
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this.customResources = null;
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}
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}
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long getFairShareMB() {
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return fairShareMB.value();
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}
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long getFairShareVirtualCores() {
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return fairShareVCores.value();
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}
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public Resource getFairShare() {
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if (customResources != null) {
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return Resource.newInstance(fairShareMB.value(),
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(int) fairShareVCores.value(),
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customResources.getFairShareValues());
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}
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return Resource.newInstance(fairShareMB.value(),
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(int) fairShareVCores.value());
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}
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public void setFairShare(Resource resource) {
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fairShareMB.set(resource.getMemorySize());
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fairShareVCores.set(resource.getVirtualCores());
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}
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public long getFairShareMB() {
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return fairShareMB.value();
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}
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public long getFairShareVirtualCores() {
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return fairShareVCores.value();
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}
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public void setSteadyFairShare(Resource resource) {
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steadyFairShareMB.set(resource.getMemorySize());
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steadyFairShareVCores.set(resource.getVirtualCores());
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if (customResources != null) {
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customResources.setFairShare(resource);
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}
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}
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public long getSteadyFairShareMB() {
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@ -80,9 +98,22 @@ public class FSQueueMetrics extends QueueMetrics {
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return steadyFairShareVCores.value();
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}
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public void setMinShare(Resource resource) {
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minShareMB.set(resource.getMemorySize());
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minShareVCores.set(resource.getVirtualCores());
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public Resource getSteadyFairShare() {
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if (customResources != null) {
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return Resource.newInstance(steadyFairShareMB.value(),
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(int) steadyFairShareVCores.value(),
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customResources.getSteadyFairShareValues());
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}
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return Resource.newInstance(steadyFairShareMB.value(),
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(int) steadyFairShareVCores.value());
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}
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public void setSteadyFairShare(Resource resource) {
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steadyFairShareMB.set(resource.getMemorySize());
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steadyFairShareVCores.set(resource.getVirtualCores());
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if (customResources != null) {
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customResources.setSteadyFairShare(resource);
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}
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}
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public long getMinShareMB() {
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@ -93,9 +124,22 @@ public class FSQueueMetrics extends QueueMetrics {
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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.getMemorySize());
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maxShareVCores.set(resource.getVirtualCores());
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public Resource getMinShare() {
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if (customResources != null) {
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return Resource.newInstance(minShareMB.value(),
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(int) minShareVCores.value(),
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customResources.getMinShareValues());
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}
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return Resource.newInstance(minShareMB.value(),
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(int) minShareVCores.value());
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}
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public void setMinShare(Resource resource) {
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minShareMB.set(resource.getMemorySize());
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minShareVCores.set(resource.getVirtualCores());
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if (customResources != null) {
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customResources.setMinShare(resource);
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}
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}
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public long getMaxShareMB() {
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return maxShareVCores.value();
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}
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public Resource getMaxShare() {
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if (customResources != null) {
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return Resource.newInstance(maxShareMB.value(),
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(int) maxShareVCores.value(),
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customResources.getMaxShareValues());
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}
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return Resource.newInstance(maxShareMB.value(),
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(int) maxShareVCores.value());
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}
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public void setMaxShare(Resource resource) {
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maxShareMB.set(resource.getMemorySize());
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maxShareVCores.set(resource.getVirtualCores());
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if (customResources != null) {
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customResources.setMaxShare(resource);
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}
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}
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public int getMaxApps() {
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return maxApps.value();
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}
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@ -132,6 +194,16 @@ public class FSQueueMetrics extends QueueMetrics {
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return maxAMShareVCores.value();
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}
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public Resource getMaxAMShare() {
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if (customResources != null) {
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return Resource.newInstance(maxAMShareMB.value(),
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maxAMShareVCores.value(),
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customResources.getMaxAMShareValues());
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}
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return Resource.newInstance(maxAMShareMB.value(),
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maxAMShareVCores.value());
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}
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/**
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* Set the maximum resource AM can use.
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*
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@ -140,6 +212,9 @@ public class FSQueueMetrics extends QueueMetrics {
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public void setMaxAMShare(Resource resource) {
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maxAMShareMB.set(resource.getMemorySize());
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maxAMShareVCores.set(resource.getVirtualCores());
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if (customResources != null) {
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customResources.setMaxAMShare(resource);
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}
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}
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/**
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@ -160,6 +235,16 @@ public class FSQueueMetrics extends QueueMetrics {
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return amResourceUsageVCores.value();
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}
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public Resource getAMResourceUsage() {
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if (customResources != null) {
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return Resource.newInstance(amResourceUsageMB.value(),
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amResourceUsageVCores.value(),
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customResources.getAMResourceUsageValues());
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}
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return Resource.newInstance(amResourceUsageMB.value(),
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amResourceUsageVCores.value());
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}
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/**
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* Set the AM resource usage.
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*
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@ -168,6 +253,9 @@ public class FSQueueMetrics extends QueueMetrics {
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public void setAMResourceUsage(Resource resource) {
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amResourceUsageMB.set(resource.getMemorySize());
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amResourceUsageVCores.set(resource.getVirtualCores());
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if (customResources != null) {
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customResources.setAMResourceUsage(resource);
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}
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}
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/**
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@ -27,8 +27,6 @@ import javax.xml.bind.annotation.XmlAccessorType;
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import javax.xml.bind.annotation.XmlRootElement;
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import javax.xml.bind.annotation.XmlSeeAlso;
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import javax.xml.bind.annotation.XmlTransient;
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import org.apache.hadoop.yarn.api.records.Resource;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AllocationConfiguration;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSLeafQueue;
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import org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSQueue;
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@ -83,12 +81,8 @@ public class FairSchedulerQueueInfo {
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clusterResources = new ResourceInfo(scheduler.getClusterResource());
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amUsedResources = new ResourceInfo(Resource.newInstance(
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queue.getMetrics().getAMResourceUsageMB(),
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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() /
|
||||
|
|
|
@ -45,7 +45,6 @@ public class ResourceInfo {
|
|||
}
|
||||
|
||||
public ResourceInfo(Resource res) {
|
||||
// Make sure no NPE.
|
||||
if (res != null) {
|
||||
memory = res.getMemorySize();
|
||||
vCores = res.getVirtualCores();
|
||||
|
|
|
@ -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;
|
||||
|
|
|
@ -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());
|
||||
}
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue