Java Code Examples for org.apache.hadoop.yarn.api.records.Resource#getGpuCores()
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org.apache.hadoop.yarn.api.records.Resource#getGpuCores() .
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Example 1
Source File: AbstractYarnScheduler.java From hadoop with Apache License 2.0 | 6 votes |
protected void refreshMaximumAllocation(Resource newMaxAlloc) { maxAllocWriteLock.lock(); try { configuredMaximumAllocation = Resources.clone(newMaxAlloc); int maxMemory = newMaxAlloc.getMemory(); if (maxNodeMemory != -1) { maxMemory = Math.min(maxMemory, maxNodeMemory); } int maxVcores = newMaxAlloc.getVirtualCores(); if (maxNodeVCores != -1) { maxVcores = Math.min(maxVcores, maxNodeVCores); } int maxGcores = newMaxAlloc.getGpuCores(); if (maxNodeGCores != -1) { maxGcores = Math.min(maxGcores, maxNodeGCores); } maximumAllocation = Resources.createResource(maxMemory, maxVcores, maxGcores); } finally { maxAllocWriteLock.unlock(); } }
Example 2
Source File: RMContainerImpl.java From hadoop with Apache License 2.0 | 6 votes |
private static void updateAttemptMetrics(RMContainerImpl container) { // If this is a preempted container, update preemption metrics Resource resource = container.getContainer().getResource(); RMAppAttempt rmAttempt = container.rmContext.getRMApps() .get(container.getApplicationAttemptId().getApplicationId()) .getCurrentAppAttempt(); if (ContainerExitStatus.PREEMPTED == container.finishedStatus .getExitStatus()) { rmAttempt.getRMAppAttemptMetrics().updatePreemptionInfo(resource, container); } if (rmAttempt != null) { long usedMillis = container.finishTime - container.creationTime; long memorySeconds = resource.getMemory() * usedMillis / DateUtils.MILLIS_PER_SECOND; long vcoreSeconds = resource.getVirtualCores() * usedMillis / DateUtils.MILLIS_PER_SECOND; long gcoreSeconds = resource.getGpuCores() * usedMillis / DateUtils.MILLIS_PER_SECOND; rmAttempt.getRMAppAttemptMetrics() .updateAggregateAppResourceUsage(memorySeconds,vcoreSeconds, gcoreSeconds); } }
Example 3
Source File: Resources.java From hadoop with Apache License 2.0 | 5 votes |
@Override public int compareTo(Resource o) { int diff = 0 - o.getMemory(); if (diff == 0) { diff = 0 - o.getVirtualCores(); if (diff == 0) { diff = 0 - o.getGpuCores(); } } return diff; }
Example 4
Source File: Resources.java From hadoop with Apache License 2.0 | 5 votes |
@Override public int compareTo(Resource o) { int diff = 0 - o.getMemory(); if (diff == 0) { diff = 0 - o.getVirtualCores(); if (diff == 0) { diff = 0 - o.getGpuCores(); } } return diff; }
Example 5
Source File: ResourcePBImpl.java From hadoop with Apache License 2.0 | 5 votes |
@Override public int compareTo(Resource other) { int diff = this.getMemory() - other.getMemory(); if (diff == 0) { diff = this.getVirtualCores() - other.getVirtualCores(); if (diff == 0) { diff = this.getGpuCores() - other.getGpuCores(); } } return diff; }
Example 6
Source File: DominantResourceCalculator.java From hadoop with Apache License 2.0 | 5 votes |
@Override public int compare(Resource clusterResource, Resource lhs, Resource rhs) { if (lhs.equals(rhs)) { return 0; } float[] lValues = new float[] { (clusterResource.getMemory() != 0) ? (float) lhs.getMemory() / clusterResource.getMemory() : lhs.getMemory(), (clusterResource.getVirtualCores() != 0) ? (float) lhs.getVirtualCores() / clusterResource.getVirtualCores() : lhs.getVirtualCores(), (clusterResource.getGpuCores() != 0) ? (float) lhs.getGpuCores() / clusterResource.getGpuCores() : 0.0f }; Arrays.sort(lValues); float[] rValues = new float[] { (clusterResource.getMemory() != 0) ? (float) rhs.getMemory() / clusterResource.getMemory() : rhs.getMemory(), (clusterResource.getVirtualCores() != 0) ? (float) rhs.getVirtualCores() / clusterResource.getVirtualCores() : rhs.getVirtualCores(), (clusterResource.getGpuCores() != 0) ? (float) rhs.getGpuCores() / clusterResource.getGpuCores() : 0.0f }; Arrays.sort(rValues); int diff = 0; for(int i = 0; i < 3; i++) { float l = lValues[i]; float r = rValues[i]; if (l < r) { diff = -1; } else if (l > r) { diff = 1; } } return diff; }
Example 7
Source File: ResourceCalculatorUtils.java From hadoop with Apache License 2.0 | 5 votes |
public static int divideAndCeilContainers(Resource required, Resource factor, EnumSet<SchedulerResourceTypes> resourceTypes) { if (resourceTypes.contains(SchedulerResourceTypes.CPU)) { if (factor.getGpuCores() == 0) { return Math.max(divideAndCeil(required.getMemory(), factor.getMemory()), divideAndCeil(required.getVirtualCores(), factor.getVirtualCores())); } else { return Math.max(divideAndCeil(required.getMemory(), factor.getMemory()), Math.max(divideAndCeil(required.getVirtualCores(), factor.getVirtualCores()), divideAndCeil(required.getGpuCores(), factor.getGpuCores()))); } } return divideAndCeil(required.getMemory(), factor.getMemory()); }
Example 8
Source File: DominantResourceCalculator.java From hadoop with Apache License 2.0 | 5 votes |
@Override public int computeAvailableContainers(Resource available, Resource required) { int min = Math.min( available.getMemory() / required.getMemory(), available.getVirtualCores() / required.getVirtualCores()); if (required.getGpuCores() != 0) { min = Math.min(min, available.getGpuCores() / required.getGpuCores()); } return min; }
Example 9
Source File: DominantResourceCalculator.java From hadoop with Apache License 2.0 | 5 votes |
@Override public boolean isInvalidDivisor(Resource r) { if (r.getMemory() == 0.0f || r.getVirtualCores() == 0.0f || r.getGpuCores() == 0.0f) { return true; } return false; }
Example 10
Source File: AMRMClientImpl.java From hadoop with Apache License 2.0 | 5 votes |
@Override public int compare(Resource arg0, Resource arg1) { int mem0 = arg0.getMemory(); int mem1 = arg1.getMemory(); int cpu0 = arg0.getVirtualCores(); int cpu1 = arg1.getVirtualCores(); int gpu0 = arg0.getGpuCores(); int gpu1 = arg1.getGpuCores(); if(mem0 == mem1) { if(cpu0 == cpu1) { if(gpu0 == gpu1) { return 0; } if(gpu0 < gpu1) { return 1; } return -1; } if(cpu0 < cpu1) { return 1; } return -1; } if(mem0 < mem1) { return 1; } return -1; }
Example 11
Source File: LeafQueue.java From hadoop with Apache License 2.0 | 5 votes |
@Override public synchronized void reinitialize( CSQueue newlyParsedQueue, Resource clusterResource) throws IOException { // Sanity check if (!(newlyParsedQueue instanceof LeafQueue) || !newlyParsedQueue.getQueuePath().equals(getQueuePath())) { throw new IOException("Trying to reinitialize " + getQueuePath() + " from " + newlyParsedQueue.getQueuePath()); } LeafQueue newlyParsedLeafQueue = (LeafQueue)newlyParsedQueue; // don't allow the maximum allocation to be decreased in size // since we have already told running AM's the size Resource oldMax = getMaximumAllocation(); Resource newMax = newlyParsedLeafQueue.getMaximumAllocation(); if (newMax.getMemory() < oldMax.getMemory() || newMax.getVirtualCores() < oldMax.getVirtualCores() || newMax.getGpuCores() < oldMax.getGpuCores()) { throw new IOException( "Trying to reinitialize " + getQueuePath() + " the maximum allocation size can not be decreased!" + " Current setting: " + oldMax + ", trying to set it to: " + newMax); } setupQueueConfigs(clusterResource); // queue metrics are updated, more resource may be available // activate the pending applications if possible activateApplications(); }
Example 12
Source File: AMRMClientImpl.java From hadoop with Apache License 2.0 | 5 votes |
static boolean canFit(Resource arg0, Resource arg1) { int mem0 = arg0.getMemory(); int mem1 = arg1.getMemory(); int cpu0 = arg0.getVirtualCores(); int cpu1 = arg1.getVirtualCores(); int gpu0 = arg0.getGpuCores(); int gpu1 = arg1.getGpuCores(); if(mem0 <= mem1 && cpu0 <= cpu1 && gpu0 <= gpu1) { return true; } return false; }
Example 13
Source File: ComputeFairShares.java From hadoop with Apache License 2.0 | 5 votes |
private static int getResourceValue(Resource resource, ResourceType type) { switch (type) { case MEMORY: return resource.getMemory(); case CPU: return resource.getVirtualCores(); case GPU: return resource.getGpuCores(); default: throw new IllegalArgumentException("Invalid resource"); } }
Example 14
Source File: ResourceCalculatorUtils.java From hadoop with Apache License 2.0 | 5 votes |
public static int computeAvailableContainers(Resource available, Resource required, EnumSet<SchedulerResourceTypes> resourceTypes) { if (resourceTypes.contains(SchedulerResourceTypes.CPU)) { if (required.getGpuCores() == 0) { return Math.min(available.getMemory() / required.getMemory(), available.getVirtualCores() / required.getVirtualCores()); } else { return Math.min(available.getMemory() / required.getMemory(), Math.min(available.getVirtualCores() / required.getVirtualCores(), available.getGpuCores() / required.getGpuCores())); } } return available.getMemory() / required.getMemory(); }
Example 15
Source File: CapacitySchedulerConfiguration.java From hadoop with Apache License 2.0 | 4 votes |
/** * Get the per queue setting for the maximum limit to allocate to * each container request. * * @param queue * name of the queue * @return setting specified per queue else falls back to the cluster setting */ public Resource getMaximumAllocationPerQueue(String queue) { String queuePrefix = getQueuePrefix(queue); int maxAllocationMbPerQueue = getInt(queuePrefix + MAXIMUM_ALLOCATION_MB, (int)UNDEFINED); int maxAllocationVcoresPerQueue = getInt( queuePrefix + MAXIMUM_ALLOCATION_VCORES, (int)UNDEFINED); int maxAllocationGcoresPerQueue = getInt( queuePrefix + MAXIMUM_ALLOCATION_GCORES, (int)UNDEFINED); if (LOG.isDebugEnabled()) { LOG.debug("max alloc mb per queue for " + queue + " is " + maxAllocationMbPerQueue); LOG.debug("max alloc vcores per queue for " + queue + " is " + maxAllocationVcoresPerQueue); LOG.debug("max alloc gcores per queue for " + queue + " is " + maxAllocationGcoresPerQueue); } Resource clusterMax = getMaximumAllocation(); if (maxAllocationMbPerQueue == (int)UNDEFINED) { LOG.info("max alloc mb per queue for " + queue + " is undefined"); maxAllocationMbPerQueue = clusterMax.getMemory(); } if (maxAllocationVcoresPerQueue == (int)UNDEFINED) { LOG.info("max alloc vcore per queue for " + queue + " is undefined"); maxAllocationVcoresPerQueue = clusterMax.getVirtualCores(); } if (maxAllocationGcoresPerQueue == (int)UNDEFINED) { LOG.info("max alloc gcore per queue for " + queue + " is undefined"); maxAllocationGcoresPerQueue = clusterMax.getGpuCores(); } Resource result = Resources.createResource(maxAllocationMbPerQueue, maxAllocationVcoresPerQueue, maxAllocationGcoresPerQueue); if (maxAllocationMbPerQueue > clusterMax.getMemory() || maxAllocationVcoresPerQueue > clusterMax.getVirtualCores() || maxAllocationGcoresPerQueue > clusterMax.getGpuCores()) { throw new IllegalArgumentException( "Queue maximum allocation cannot be larger than the cluster setting" + " for queue " + queue + " max allocation per queue: " + result + " cluster setting: " + clusterMax); } return result; }
Example 16
Source File: SchedulerUtils.java From hadoop with Apache License 2.0 | 4 votes |
/** * Utility method to validate a resource request, by insuring that the * requested memory/vcore/gcore is non-negative and not greater than max * * @throws InvalidResourceRequestException when there is invalid request */ private static void validateResourceRequest(ResourceRequest resReq, Resource maximumResource, QueueInfo queueInfo, RMContext rmContext) throws InvalidResourceRequestException { if (resReq.getCapability().getMemory() < 0 || resReq.getCapability().getMemory() > maximumResource.getMemory()) { throw new InvalidResourceRequestException("Invalid resource request" + ", requested memory < 0" + ", or requested memory > max configured" + ", requestedMemory=" + resReq.getCapability().getMemory() + ", maxMemory=" + maximumResource.getMemory()); } if (resReq.getCapability().getVirtualCores() < 0 || resReq.getCapability().getVirtualCores() > maximumResource.getVirtualCores()) { throw new InvalidResourceRequestException("Invalid resource request" + ", requested virtual cores < 0" + ", or requested virtual cores > max configured" + ", requestedVirtualCores=" + resReq.getCapability().getVirtualCores() + ", maxVirtualCores=" + maximumResource.getVirtualCores()); } if (resReq.getCapability().getGpuCores() < 0 || resReq.getCapability().getGpuCores() > maximumResource.getGpuCores()) { throw new InvalidResourceRequestException("Invalid resource request" + ", requested gpu cores < 0" + ", or requested gpu cores > max configured" + ", requestedGpuCores=" + resReq.getCapability().getGpuCores() + ", maxGpuCores=" + maximumResource.getGpuCores()); } String labelExp = resReq.getNodeLabelExpression(); // we don't allow specify label expression other than resourceName=ANY now if (!ResourceRequest.ANY.equals(resReq.getResourceName()) && labelExp != null && !labelExp.trim().isEmpty()) { throw new InvalidResourceRequestException( "Invailid resource request, queue=" + queueInfo.getQueueName() + " specified node label expression in a " + "resource request has resource name = " + resReq.getResourceName()); } // we don't allow specify label expression with more than one node labels now if (labelExp != null && labelExp.contains("&&")) { throw new InvalidResourceRequestException( "Invailid resource request, queue=" + queueInfo.getQueueName() + " specified more than one node label " + "in a node label expression, node label expression = " + labelExp); } if (labelExp != null && !labelExp.trim().isEmpty() && queueInfo != null) { if (!checkQueueLabelExpression(queueInfo.getAccessibleNodeLabels(), labelExp, rmContext)) { throw new InvalidResourceRequestException("Invalid resource request" + ", queue=" + queueInfo.getQueueName() + " doesn't have permission to access all labels " + "in resource request. labelExpression of resource request=" + labelExp + ". Queue labels=" + (queueInfo.getAccessibleNodeLabels() == null ? "" : StringUtils.join(queueInfo .getAccessibleNodeLabels().iterator(), ','))); } } }
Example 17
Source File: CapacityOverTimePolicy.java From hadoop with Apache License 2.0 | 4 votes |
public void subtract(Resource r) { memory -= r.getMemory(); vcores -= r.getVirtualCores(); gcores -= r.getGpuCores(); }
Example 18
Source File: CapacityOverTimePolicy.java From hadoop with Apache License 2.0 | 4 votes |
public void add(Resource r) { memory += r.getMemory(); vcores += r.getVirtualCores(); gcores += r.getGpuCores(); }
Example 19
Source File: AppInfo.java From hadoop with Apache License 2.0 | 4 votes |
@SuppressWarnings({ "rawtypes", "unchecked" }) public AppInfo(ResourceManager rm, RMApp app, Boolean hasAccess, String schemePrefix) { this.schemePrefix = schemePrefix; if (app != null) { String trackingUrl = app.getTrackingUrl(); this.state = app.createApplicationState(); this.trackingUrlIsNotReady = trackingUrl == null || trackingUrl.isEmpty() || YarnApplicationState.NEW == this.state || YarnApplicationState.NEW_SAVING == this.state || YarnApplicationState.SUBMITTED == this.state || YarnApplicationState.ACCEPTED == this.state; this.trackingUI = this.trackingUrlIsNotReady ? "UNASSIGNED" : (app .getFinishTime() == 0 ? "ApplicationMaster" : "History"); if (!trackingUrlIsNotReady) { this.trackingUrl = WebAppUtils.getURLWithScheme(schemePrefix, trackingUrl); this.trackingUrlPretty = this.trackingUrl; } else { this.trackingUrlPretty = "UNASSIGNED"; } this.applicationId = app.getApplicationId(); this.applicationType = app.getApplicationType(); this.appIdNum = String.valueOf(app.getApplicationId().getId()); this.id = app.getApplicationId().toString(); this.user = app.getUser().toString(); this.name = app.getName().toString(); this.queue = app.getQueue().toString(); this.progress = app.getProgress() * 100; this.diagnostics = app.getDiagnostics().toString(); if (diagnostics == null || diagnostics.isEmpty()) { this.diagnostics = ""; } if (app.getApplicationTags() != null && !app.getApplicationTags().isEmpty()) { this.applicationTags = Joiner.on(',').join(app.getApplicationTags()); } this.finalStatus = app.getFinalApplicationStatus(); this.clusterId = ResourceManager.getClusterTimeStamp(); if (hasAccess) { this.startedTime = app.getStartTime(); this.finishedTime = app.getFinishTime(); this.elapsedTime = Times.elapsed(app.getStartTime(), app.getFinishTime()); RMAppAttempt attempt = app.getCurrentAppAttempt(); if (attempt != null) { Container masterContainer = attempt.getMasterContainer(); if (masterContainer != null) { this.amContainerLogsExist = true; this.amContainerLogs = WebAppUtils.getRunningLogURL( schemePrefix + masterContainer.getNodeHttpAddress(), ConverterUtils.toString(masterContainer.getId()), app.getUser()); this.amHostHttpAddress = masterContainer.getNodeHttpAddress(); } ApplicationResourceUsageReport resourceReport = attempt .getApplicationResourceUsageReport(); if (resourceReport != null) { Resource usedResources = resourceReport.getUsedResources(); allocatedMB = usedResources.getMemory(); allocatedVCores = usedResources.getVirtualCores(); allocatedGCores = usedResources.getGpuCores(); runningContainers = resourceReport.getNumUsedContainers(); } resourceRequests = ((AbstractYarnScheduler) rm.getRMContext().getScheduler()) .getPendingResourceRequestsForAttempt(attempt.getAppAttemptId()); } } // copy preemption info fields RMAppMetrics appMetrics = app.getRMAppMetrics(); numAMContainerPreempted = appMetrics.getNumAMContainersPreempted(); preemptedResourceMB = appMetrics.getResourcePreempted().getMemory(); numNonAMContainerPreempted = appMetrics.getNumNonAMContainersPreempted(); preemptedResourceVCores = appMetrics.getResourcePreempted().getVirtualCores(); preemptedResourceGCores = appMetrics.getResourcePreempted().getGpuCores(); memorySeconds = appMetrics.getMemorySeconds(); vcoreSeconds = appMetrics.getVcoreSeconds(); gcoreSeconds = appMetrics.getGcoreSeconds(); } }
Example 20
Source File: Resources.java From hadoop with Apache License 2.0 | 4 votes |
public static boolean fitsIn(Resource smaller, Resource bigger) { return smaller.getMemory() <= bigger.getMemory() && smaller.getVirtualCores() <= bigger.getVirtualCores() && smaller.getGpuCores() <= bigger.getGpuCores(); }