YARN-10550. Decouple NM runner logic from SLSRunner. Contributed by Szilard Nemeth
This commit is contained in:
parent
6e00a799e7
commit
ab8c360620
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@ -63,7 +63,6 @@ public class AMRunner {
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private Map<String, Class> amClassMap;
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private TraceType inputType;
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private String[] inputTraces;
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private SynthTraceJobProducer stjp;
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private TaskRunner runner;
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private SLSRunner slsRunner;
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private int numAMs, numTasks;
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@ -149,15 +148,14 @@ public class AMRunner {
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Configuration localConf = new Configuration();
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localConf.set("fs.defaultFS", "file:///");
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//if we use the nodeFile this could have been not initialized yet.
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if (stjp == null) {
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stjp = new SynthTraceJobProducer(conf, new Path(inputTraces[0]));
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slsRunner.setStjp(stjp);
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if (slsRunner.getStjp() == null) {
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slsRunner.setStjp(new SynthTraceJobProducer(conf, new Path(inputTraces[0])));
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}
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SynthJob job;
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// we use stjp, a reference to the job producer instantiated during node
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// creation
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while ((job = (SynthJob) stjp.getNextJob()) != null) {
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while ((job = (SynthJob) slsRunner.getStjp().getNextJob()) != null) {
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ReservationId reservationId = null;
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if (job.hasDeadline()) {
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reservationId = ReservationId
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@ -0,0 +1,238 @@
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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.sls;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.Path;
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import org.apache.hadoop.yarn.api.records.NodeId;
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import org.apache.hadoop.yarn.api.records.NodeLabel;
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import org.apache.hadoop.yarn.api.records.NodeState;
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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.exceptions.YarnException;
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import org.apache.hadoop.yarn.server.resourcemanager.ResourceManager;
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import org.apache.hadoop.yarn.server.resourcemanager.rmnode.RMNode;
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import org.apache.hadoop.yarn.sls.SLSRunner.TraceType;
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import org.apache.hadoop.yarn.sls.conf.SLSConfiguration;
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import org.apache.hadoop.yarn.sls.nodemanager.NMSimulator;
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import org.apache.hadoop.yarn.sls.scheduler.TaskRunner;
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import org.apache.hadoop.yarn.sls.synthetic.SynthTraceJobProducer;
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import org.apache.hadoop.yarn.sls.utils.SLSUtils;
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import org.apache.hadoop.yarn.util.resource.ResourceUtils;
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import org.apache.hadoop.yarn.util.resource.Resources;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.io.IOException;
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import java.util.Map;
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import java.util.Random;
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import java.util.Set;
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import java.util.concurrent.ConcurrentHashMap;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.TimeUnit;
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public class NMRunner {
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private static final Logger LOG = LoggerFactory.getLogger(NMRunner.class);
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// other simulation information
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private int numNMs, numRacks;
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// NM simulator
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private Map<NodeId, NMSimulator> nmMap;
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private Resource nodeManagerResource;
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private String nodeFile;
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private TaskRunner taskRunner;
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private Configuration conf;
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private ResourceManager rm;
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private String tableMapping;
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private int threadPoolSize;
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private TraceType inputType;
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private String[] inputTraces;
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private SynthTraceJobProducer stjp;
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public NMRunner(TaskRunner taskRunner, Configuration conf, ResourceManager rm, String tableMapping, int threadPoolSize) {
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this.taskRunner = taskRunner;
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this.conf = conf;
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this.rm = rm;
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this.tableMapping = tableMapping;
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this.threadPoolSize = threadPoolSize;
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this.nmMap = new ConcurrentHashMap<>();
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this.nodeManagerResource = getNodeManagerResourceFromConf();
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}
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public void startNM() throws YarnException, IOException,
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InterruptedException {
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// nm configuration
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int heartbeatInterval = conf.getInt(
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SLSConfiguration.NM_HEARTBEAT_INTERVAL_MS,
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SLSConfiguration.NM_HEARTBEAT_INTERVAL_MS_DEFAULT);
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float resourceUtilizationRatio = conf.getFloat(
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SLSConfiguration.NM_RESOURCE_UTILIZATION_RATIO,
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SLSConfiguration.NM_RESOURCE_UTILIZATION_RATIO_DEFAULT);
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// nm information (fetch from topology file, or from sls/rumen json file)
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Set<SLSRunner.NodeDetails> nodeSet = null;
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if (nodeFile.isEmpty()) {
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for (String inputTrace : inputTraces) {
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switch (inputType) {
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case SLS:
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nodeSet = SLSUtils.parseNodesFromSLSTrace(inputTrace);
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break;
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case RUMEN:
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nodeSet = SLSUtils.parseNodesFromRumenTrace(inputTrace);
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break;
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case SYNTH:
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stjp = new SynthTraceJobProducer(conf, new Path(inputTraces[0]));
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nodeSet = SLSUtils.generateNodes(stjp.getNumNodes(),
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stjp.getNumNodes()/stjp.getNodesPerRack());
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break;
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default:
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throw new YarnException("Input configuration not recognized, "
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+ "trace type should be SLS, RUMEN, or SYNTH");
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}
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}
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} else {
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nodeSet = SLSUtils.parseNodesFromNodeFile(nodeFile,
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nodeManagerResource);
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}
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if (nodeSet == null || nodeSet.isEmpty()) {
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throw new YarnException("No node! Please configure nodes.");
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}
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SLSUtils.generateNodeTableMapping(nodeSet, tableMapping);
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// create NM simulators
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Random random = new Random();
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Set<String> rackSet = ConcurrentHashMap.newKeySet();
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int threadPoolSize = Math.max(this.threadPoolSize,
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SLSConfiguration.RUNNER_POOL_SIZE_DEFAULT);
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ExecutorService executorService = Executors.
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newFixedThreadPool(threadPoolSize);
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for (SLSRunner.NodeDetails nodeDetails : nodeSet) {
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executorService.submit(new Runnable() {
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@Override public void run() {
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try {
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// we randomize the heartbeat start time from zero to 1 interval
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NMSimulator nm = new NMSimulator();
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Resource nmResource = nodeManagerResource;
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String hostName = nodeDetails.getHostname();
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if (nodeDetails.getNodeResource() != null) {
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nmResource = nodeDetails.getNodeResource();
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}
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Set<NodeLabel> nodeLabels = nodeDetails.getLabels();
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nm.init(hostName, nmResource,
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random.nextInt(heartbeatInterval),
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heartbeatInterval, rm, resourceUtilizationRatio, nodeLabels);
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nmMap.put(nm.getNode().getNodeID(), nm);
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taskRunner.schedule(nm);
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rackSet.add(nm.getNode().getRackName());
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} catch (IOException | YarnException e) {
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LOG.error("Got an error while adding node", e);
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}
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}
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});
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}
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executorService.shutdown();
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executorService.awaitTermination(10, TimeUnit.MINUTES);
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numRacks = rackSet.size();
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numNMs = nmMap.size();
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}
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void waitForNodesRunning() throws InterruptedException {
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long startTimeMS = System.currentTimeMillis();
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while (true) {
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int numRunningNodes = 0;
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for (RMNode node : rm.getRMContext().getRMNodes().values()) {
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if (node.getState() == NodeState.RUNNING) {
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numRunningNodes++;
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}
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}
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if (numRunningNodes == numNMs) {
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break;
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}
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LOG.info("SLSRunner is waiting for all nodes RUNNING."
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+ " {} of {} NMs initialized.", numRunningNodes, numNMs);
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Thread.sleep(1000);
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}
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LOG.info("SLSRunner takes {} ms to launch all nodes.",
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System.currentTimeMillis() - startTimeMS);
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}
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private Resource getNodeManagerResourceFromConf() {
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Resource resource = Resources.createResource(0);
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ResourceInformation[] infors = ResourceUtils.getResourceTypesArray();
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for (ResourceInformation info : infors) {
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long value;
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if (info.getName().equals(ResourceInformation.MEMORY_URI)) {
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value = conf.getInt(SLSConfiguration.NM_MEMORY_MB,
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SLSConfiguration.NM_MEMORY_MB_DEFAULT);
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} else if (info.getName().equals(ResourceInformation.VCORES_URI)) {
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value = conf.getInt(SLSConfiguration.NM_VCORES,
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SLSConfiguration.NM_VCORES_DEFAULT);
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} else {
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value = conf.getLong(SLSConfiguration.NM_PREFIX +
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info.getName(), SLSConfiguration.NM_RESOURCE_DEFAULT);
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}
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resource.setResourceValue(info.getName(), value);
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}
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return resource;
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}
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public void setNodeFile(String nodeFile) {
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this.nodeFile = nodeFile;
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}
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public void setInputType(TraceType inputType) {
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this.inputType = inputType;
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}
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public void setInputTraces(String[] inputTraces) {
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this.inputTraces = inputTraces;
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}
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public int getNumNMs() {
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return numNMs;
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}
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public int getNumRacks() {
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return numRacks;
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}
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public Resource getNodeManagerResource() {
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return nodeManagerResource;
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}
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public Map<NodeId, NMSimulator> getNmMap() {
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return nmMap;
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}
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public SynthTraceJobProducer getStjp() {
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return stjp;
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}
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public void setTableMapping(String tableMapping) {
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this.tableMapping = tableMapping;
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}
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public void setRm(ResourceManager rm) {
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this.rm = rm;
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}
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}
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@ -59,11 +59,9 @@ import org.apache.hadoop.util.ToolRunner;
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import org.apache.hadoop.yarn.api.records.ApplicationId;
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import org.apache.hadoop.yarn.api.records.NodeId;
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import org.apache.hadoop.yarn.api.records.NodeLabel;
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import org.apache.hadoop.yarn.api.records.NodeState;
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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.exceptions.YarnException;
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import org.apache.hadoop.yarn.server.resourcemanager.rmnode.RMNode;
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import org.apache.hadoop.yarn.sls.appmaster.AMSimulator;
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import org.apache.hadoop.yarn.sls.conf.SLSConfiguration;
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import org.apache.hadoop.yarn.sls.nodemanager.NMSimulator;
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@ -71,8 +69,6 @@ import org.apache.hadoop.yarn.sls.scheduler.SchedulerWrapper;
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import org.apache.hadoop.yarn.sls.scheduler.TaskRunner;
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import org.apache.hadoop.yarn.sls.scheduler.Tracker;
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import org.apache.hadoop.yarn.sls.synthetic.SynthTraceJobProducer;
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import org.apache.hadoop.yarn.sls.utils.SLSUtils;
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import org.apache.hadoop.yarn.util.resource.ResourceUtils;
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import org.apache.hadoop.yarn.util.resource.Resources;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@ -85,32 +81,19 @@ import java.util.Collections;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.Map;
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import java.util.Random;
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import java.util.Set;
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import java.util.concurrent.ConcurrentHashMap;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.TimeUnit;
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@Private
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@Unstable
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public class SLSRunner extends Configured implements Tool {
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private static TaskRunner runner = new TaskRunner();
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private String[] inputTraces;
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private int poolSize;
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// NM simulator
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private Map<NodeId, NMSimulator> nmMap;
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private Resource nodeManagerResource;
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private String nodeFile;
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// metrics
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private boolean printSimulation;
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// other simulation information
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private int numNMs, numRacks;
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private final static Map<String, Object> simulateInfoMap = new HashMap<>();
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private final static Map<String, Object> simulateInfoMap =
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new HashMap<>();
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// logger
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public final static Logger LOG = LoggerFactory.getLogger(SLSRunner.class);
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@ -118,6 +101,9 @@ public class SLSRunner extends Configured implements Tool {
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private static boolean exitAtTheFinish = false;
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private AMRunner amRunner;
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private RMRunner rmRunner;
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private NMRunner nmRunner;
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private SynthTraceJobProducer stjp;
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/**
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* The type of trace in input.
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@ -130,19 +116,16 @@ public class SLSRunner extends Configured implements Tool {
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public static final String NETWORK_NEGATIVE_CACHE_TTL =
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"networkaddress.cache.negative.ttl";
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private TraceType inputType;
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private SynthTraceJobProducer stjp;
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public static int getRemainingApps() {
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return AMRunner.REMAINING_APPS;
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}
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public SLSRunner() throws ClassNotFoundException {
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public SLSRunner() throws ClassNotFoundException, YarnException {
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Configuration tempConf = new Configuration(false);
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init(tempConf);
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}
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public SLSRunner(Configuration tempConf) throws ClassNotFoundException {
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public SLSRunner(Configuration tempConf) throws ClassNotFoundException, YarnException {
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init(tempConf);
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}
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@ -156,43 +139,31 @@ public class SLSRunner extends Configured implements Tool {
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super.setConf(conf);
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}
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private void init(Configuration tempConf) throws ClassNotFoundException {
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private void init(Configuration tempConf) throws ClassNotFoundException, YarnException {
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// runner configuration
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setConf(tempConf);
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nmMap = new ConcurrentHashMap<>();
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amRunner = new AMRunner(runner, this);
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rmRunner = new RMRunner(tempConf, this);
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// runner
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poolSize = tempConf.getInt(SLSConfiguration.RUNNER_POOL_SIZE,
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int poolSize = tempConf.getInt(SLSConfiguration.RUNNER_POOL_SIZE,
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SLSConfiguration.RUNNER_POOL_SIZE_DEFAULT);
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SLSRunner.runner.setQueueSize(poolSize);
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rmRunner = new RMRunner(getConf(), this);
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nmRunner = new NMRunner(runner, getConf(), rmRunner.getRm(), rmRunner.getTableMapping(), poolSize);
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amRunner = new AMRunner(runner, this);
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amRunner.init(tempConf);
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nodeManagerResource = getNodeManagerResource();
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}
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private Resource getNodeManagerResource() {
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Resource resource = Resources.createResource(0);
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ResourceInformation[] infors = ResourceUtils.getResourceTypesArray();
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for (ResourceInformation info : infors) {
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long value;
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if (info.getName().equals(ResourceInformation.MEMORY_URI)) {
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value = getConf().getInt(SLSConfiguration.NM_MEMORY_MB,
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SLSConfiguration.NM_MEMORY_MB_DEFAULT);
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} else if (info.getName().equals(ResourceInformation.VCORES_URI)) {
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value = getConf().getInt(SLSConfiguration.NM_VCORES,
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SLSConfiguration.NM_VCORES_DEFAULT);
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private SynthTraceJobProducer getSynthJobTraceProducer() throws YarnException {
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// if we use the nodeFile this could have been not initialized yet.
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if (nmRunner.getStjp() != null) {
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return nmRunner.getStjp();
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} else {
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value = getConf().getLong(SLSConfiguration.NM_PREFIX +
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info.getName(), SLSConfiguration.NM_RESOURCE_DEFAULT);
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try {
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return new SynthTraceJobProducer(getConf(), new Path(inputTraces[0]));
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} catch (IOException e) {
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throw new YarnException("Failed to initialize SynthTraceJobProducer", e);
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}
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resource.setResourceValue(info.getName(), value);
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}
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return resource;
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}
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/**
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@ -213,29 +184,37 @@ public class SLSRunner extends Configured implements Tool {
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*/
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public void setSimulationParams(TraceType inType, String[] inTraces,
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String nodes, String metricsOutputDir, Set<String> trackApps,
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boolean printsimulation) {
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this.inputType = inType;
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boolean printsimulation) throws YarnException {
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this.inputTraces = inTraces.clone();
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this.amRunner.setInputType(this.inputType);
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this.amRunner.setInputType(inType);
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this.amRunner.setInputTraces(this.inputTraces);
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this.amRunner.setTrackedApps(trackApps);
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this.nodeFile = nodes;
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this.nmRunner.setNodeFile(nodes);
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this.nmRunner.setInputType(inType);
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this.nmRunner.setInputTraces(this.inputTraces);
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this.printSimulation = printsimulation;
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this.rmRunner.setMetricsOutputDir(metricsOutputDir);
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this.rmRunner.setTableMapping(metricsOutputDir + "/tableMapping.csv");
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String tableMapping = metricsOutputDir + "/tableMapping.csv";
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this.rmRunner.setTableMapping(tableMapping);
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this.nmRunner.setTableMapping(tableMapping);
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//We need this.inputTraces to set before creating SynthTraceJobProducer
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if (inType == TraceType.SYNTH) {
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this.stjp = getSynthJobTraceProducer();
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}
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}
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public void start() throws IOException, ClassNotFoundException, YarnException,
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InterruptedException {
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enableDNSCaching(getConf());
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// start resource manager
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rmRunner.startRM();
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nmRunner.setRm(rmRunner.getRm());
|
||||
amRunner.setResourceManager(rmRunner.getRm());
|
||||
|
||||
// start node managers
|
||||
startNM();
|
||||
nmRunner.startNM();
|
||||
// start application masters
|
||||
amRunner.startAM();
|
||||
|
||||
|
@ -248,7 +227,7 @@ public class SLSRunner extends Configured implements Tool {
|
|||
// print out simulation info
|
||||
printSimulationInfo();
|
||||
// blocked until all nodes RUNNING
|
||||
waitForNodesRunning();
|
||||
nmRunner.waitForNodesRunning();
|
||||
// starting the runner once everything is ready to go,
|
||||
runner.start();
|
||||
}
|
||||
|
@ -270,104 +249,6 @@ public class SLSRunner extends Configured implements Tool {
|
|||
}
|
||||
}
|
||||
|
||||
private void startNM() throws YarnException, IOException,
|
||||
InterruptedException {
|
||||
// nm configuration
|
||||
int heartbeatInterval = getConf().getInt(
|
||||
SLSConfiguration.NM_HEARTBEAT_INTERVAL_MS,
|
||||
SLSConfiguration.NM_HEARTBEAT_INTERVAL_MS_DEFAULT);
|
||||
float resourceUtilizationRatio = getConf().getFloat(
|
||||
SLSConfiguration.NM_RESOURCE_UTILIZATION_RATIO,
|
||||
SLSConfiguration.NM_RESOURCE_UTILIZATION_RATIO_DEFAULT);
|
||||
// nm information (fetch from topology file, or from sls/rumen json file)
|
||||
Set<NodeDetails> nodeSet = null;
|
||||
if (nodeFile.isEmpty()) {
|
||||
for (String inputTrace : inputTraces) {
|
||||
switch (inputType) {
|
||||
case SLS:
|
||||
nodeSet = SLSUtils.parseNodesFromSLSTrace(inputTrace);
|
||||
break;
|
||||
case RUMEN:
|
||||
nodeSet = SLSUtils.parseNodesFromRumenTrace(inputTrace);
|
||||
break;
|
||||
case SYNTH:
|
||||
stjp = new SynthTraceJobProducer(getConf(), new Path(inputTraces[0]));
|
||||
nodeSet = SLSUtils.generateNodes(stjp.getNumNodes(),
|
||||
stjp.getNumNodes()/stjp.getNodesPerRack());
|
||||
break;
|
||||
default:
|
||||
throw new YarnException("Input configuration not recognized, "
|
||||
+ "trace type should be SLS, RUMEN, or SYNTH");
|
||||
}
|
||||
}
|
||||
} else {
|
||||
nodeSet = SLSUtils.parseNodesFromNodeFile(nodeFile,
|
||||
nodeManagerResource);
|
||||
}
|
||||
|
||||
if (nodeSet == null || nodeSet.isEmpty()) {
|
||||
throw new YarnException("No node! Please configure nodes.");
|
||||
}
|
||||
|
||||
SLSUtils.generateNodeTableMapping(nodeSet, rmRunner.getTableMapping());
|
||||
|
||||
// create NM simulators
|
||||
Random random = new Random();
|
||||
Set<String> rackSet = ConcurrentHashMap.newKeySet();
|
||||
int threadPoolSize = Math.max(poolSize,
|
||||
SLSConfiguration.RUNNER_POOL_SIZE_DEFAULT);
|
||||
ExecutorService executorService = Executors.
|
||||
newFixedThreadPool(threadPoolSize);
|
||||
for (NodeDetails nodeDetails : nodeSet) {
|
||||
executorService.submit(new Runnable() {
|
||||
@Override public void run() {
|
||||
try {
|
||||
// we randomize the heartbeat start time from zero to 1 interval
|
||||
NMSimulator nm = new NMSimulator();
|
||||
Resource nmResource = nodeManagerResource;
|
||||
String hostName = nodeDetails.getHostname();
|
||||
if (nodeDetails.getNodeResource() != null) {
|
||||
nmResource = nodeDetails.getNodeResource();
|
||||
}
|
||||
Set<NodeLabel> nodeLabels = nodeDetails.getLabels();
|
||||
nm.init(hostName, nmResource,
|
||||
random.nextInt(heartbeatInterval),
|
||||
heartbeatInterval, rmRunner.getRm(), resourceUtilizationRatio, nodeLabels);
|
||||
nmMap.put(nm.getNode().getNodeID(), nm);
|
||||
runner.schedule(nm);
|
||||
rackSet.add(nm.getNode().getRackName());
|
||||
} catch (IOException | YarnException e) {
|
||||
LOG.error("Got an error while adding node", e);
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
executorService.shutdown();
|
||||
executorService.awaitTermination(10, TimeUnit.MINUTES);
|
||||
numRacks = rackSet.size();
|
||||
numNMs = nmMap.size();
|
||||
}
|
||||
|
||||
private void waitForNodesRunning() throws InterruptedException {
|
||||
long startTimeMS = System.currentTimeMillis();
|
||||
while (true) {
|
||||
int numRunningNodes = 0;
|
||||
for (RMNode node : rmRunner.getRm().getRMContext().getRMNodes().values()) {
|
||||
if (node.getState() == NodeState.RUNNING) {
|
||||
numRunningNodes++;
|
||||
}
|
||||
}
|
||||
if (numRunningNodes == numNMs) {
|
||||
break;
|
||||
}
|
||||
LOG.info("SLSRunner is waiting for all nodes RUNNING."
|
||||
+ " {} of {} NMs initialized.", numRunningNodes, numNMs);
|
||||
Thread.sleep(1000);
|
||||
}
|
||||
LOG.info("SLSRunner takes {} ms to launch all nodes.",
|
||||
System.currentTimeMillis() - startTimeMS);
|
||||
}
|
||||
|
||||
Resource getDefaultContainerResource() {
|
||||
int containerMemory = getConf().getInt(SLSConfiguration.CONTAINER_MEMORY_MB,
|
||||
SLSConfiguration.CONTAINER_MEMORY_MB_DEFAULT);
|
||||
|
@ -392,7 +273,7 @@ public class SLSRunner extends Configured implements Tool {
|
|||
LOG.info("------------------------------------");
|
||||
LOG.info("# nodes = {}, # racks = {}, capacity " +
|
||||
"of each node {}.",
|
||||
numNMs, numRacks, nodeManagerResource);
|
||||
nmRunner.getNumNMs(), nmRunner.getNumRacks(), nmRunner.getNodeManagerResource());
|
||||
LOG.info("------------------------------------");
|
||||
// job
|
||||
LOG.info("# applications = {}, # total " +
|
||||
|
@ -416,12 +297,12 @@ public class SLSRunner extends Configured implements Tool {
|
|||
LOG.info("------------------------------------");
|
||||
}
|
||||
// package these information in the simulateInfoMap used by other places
|
||||
simulateInfoMap.put("Number of racks", numRacks);
|
||||
simulateInfoMap.put("Number of nodes", numNMs);
|
||||
simulateInfoMap.put("Number of racks", nmRunner.getNumRacks());
|
||||
simulateInfoMap.put("Number of nodes", nmRunner.getNumNMs());
|
||||
simulateInfoMap.put("Node memory (MB)",
|
||||
nodeManagerResource.getResourceValue(ResourceInformation.MEMORY_URI));
|
||||
nmRunner.getNodeManagerResource().getResourceValue(ResourceInformation.MEMORY_URI));
|
||||
simulateInfoMap.put("Node VCores",
|
||||
nodeManagerResource.getResourceValue(ResourceInformation.VCORES_URI));
|
||||
nmRunner.getNodeManagerResource().getResourceValue(ResourceInformation.VCORES_URI));
|
||||
simulateInfoMap.put("Number of applications", numAMs);
|
||||
simulateInfoMap.put("Number of tasks", numTasks);
|
||||
simulateInfoMap.put("Average tasks per applicaion",
|
||||
|
@ -434,7 +315,7 @@ public class SLSRunner extends Configured implements Tool {
|
|||
}
|
||||
|
||||
public Map<NodeId, NMSimulator> getNmMap() {
|
||||
return nmMap;
|
||||
return nmRunner.getNmMap();
|
||||
}
|
||||
|
||||
public static void decreaseRemainingApps() {
|
||||
|
@ -458,7 +339,6 @@ public class SLSRunner extends Configured implements Tool {
|
|||
|
||||
public int run(final String[] argv) throws IOException, InterruptedException,
|
||||
ParseException, ClassNotFoundException, YarnException {
|
||||
|
||||
Options options = new Options();
|
||||
|
||||
// Left for compatibility
|
||||
|
@ -524,7 +404,6 @@ public class SLSRunner extends Configured implements Tool {
|
|||
case "RUMEN":
|
||||
tempTraceType = TraceType.RUMEN;
|
||||
break;
|
||||
|
||||
case "SYNTH":
|
||||
tempTraceType = TraceType.SYNTH;
|
||||
break;
|
||||
|
|
|
@ -186,7 +186,6 @@ public class NodeInfo {
|
|||
|
||||
@Override
|
||||
public List<Container> pullNewlyIncreasedContainers() {
|
||||
// TODO Auto-generated method stub
|
||||
return null;
|
||||
}
|
||||
|
||||
|
|
|
@ -176,7 +176,6 @@ public class RMNodeWrapper implements RMNode {
|
|||
|
||||
@Override
|
||||
public List<Container> pullNewlyIncreasedContainers() {
|
||||
// TODO Auto-generated method stub
|
||||
return Collections.emptyList();
|
||||
}
|
||||
|
||||
|
|
|
@ -316,7 +316,7 @@ public abstract class SchedulerMetrics {
|
|||
new Gauge<Long>() {
|
||||
@Override
|
||||
public Long getValue() {
|
||||
if (scheduler.getRootQueueMetrics() == null) {
|
||||
if (isMetricsAvailable()) {
|
||||
return 0L;
|
||||
} else {
|
||||
return scheduler.getRootQueueMetrics().getAllocatedMB();
|
||||
|
@ -328,7 +328,7 @@ public abstract class SchedulerMetrics {
|
|||
new Gauge<Integer>() {
|
||||
@Override
|
||||
public Integer getValue() {
|
||||
if (scheduler.getRootQueueMetrics() == null) {
|
||||
if (isMetricsAvailable()) {
|
||||
return 0;
|
||||
} else {
|
||||
return scheduler.getRootQueueMetrics().getAllocatedVirtualCores();
|
||||
|
@ -340,7 +340,7 @@ public abstract class SchedulerMetrics {
|
|||
new Gauge<Long>() {
|
||||
@Override
|
||||
public Long getValue() {
|
||||
if (scheduler.getRootQueueMetrics() == null) {
|
||||
if (isMetricsAvailable()) {
|
||||
return 0L;
|
||||
} else {
|
||||
return scheduler.getRootQueueMetrics().getAvailableMB();
|
||||
|
@ -352,7 +352,7 @@ public abstract class SchedulerMetrics {
|
|||
new Gauge<Integer>() {
|
||||
@Override
|
||||
public Integer getValue() {
|
||||
if (scheduler.getRootQueueMetrics() == null) {
|
||||
if (isMetricsAvailable()) {
|
||||
return 0;
|
||||
} else {
|
||||
return scheduler.getRootQueueMetrics().getAvailableVirtualCores();
|
||||
|
@ -362,6 +362,10 @@ public abstract class SchedulerMetrics {
|
|||
);
|
||||
}
|
||||
|
||||
private boolean isMetricsAvailable() {
|
||||
return scheduler.getRootQueueMetrics() == null;
|
||||
}
|
||||
|
||||
private void registerContainerAppNumMetrics() {
|
||||
metrics.register("variable.running.application",
|
||||
new Gauge<Integer>() {
|
||||
|
|
Loading…
Reference in New Issue