List of usage examples for org.apache.hadoop.yarn.conf YarnConfiguration getInt
public int getInt(String name, int defaultValue)
name property as an int. From source file:com.ibm.bi.dml.yarn.ropt.YarnClusterAnalyzer.java
License:Open Source License
/** * Analyzes properties of Yarn cluster and Hadoop configurations. *///w w w. j av a 2 s. c o m public static void analyzeYarnCluster(YarnClient yarnClient, YarnConfiguration conf, boolean verbose) { try { List<NodeReport> nodesReport = yarnClient.getNodeReports(); if (verbose) System.out.println("There are " + nodesReport.size() + " nodes in the cluster"); if (nodesReport.isEmpty()) throw new YarnException("There are zero available nodes in the yarn cluster"); nodesMaxPhySorted = new ArrayList<Long>(nodesReport.size()); clusterTotalMem = 0; clusterTotalCores = 0; clusterTotalNodes = 0; minimumMRContainerPhyMB = -1; for (NodeReport node : nodesReport) { Resource resource = node.getCapability(); Resource used = node.getUsed(); if (used == null) used = Resource.newInstance(0, 0); int mb = resource.getMemory(); int cores = resource.getVirtualCores(); if (mb <= 0) throw new YarnException("A node has non-positive memory " + mb); int myMinMRPhyMB = mb / cores / CPU_HYPER_FACTOR; if (minimumMRContainerPhyMB < myMinMRPhyMB) minimumMRContainerPhyMB = myMinMRPhyMB; // minimumMRContainerPhyMB needs to be the largest among the mins clusterTotalMem += (long) mb * 1024 * 1024; nodesMaxPhySorted.add((long) mb * 1024 * 1024); clusterTotalCores += cores; clusterTotalNodes++; if (verbose) System.out.println("\t" + node.getNodeId() + " has " + mb + " MB (" + used.getMemory() + " MB used) memory and " + resource.getVirtualCores() + " (" + used.getVirtualCores() + " used) cores"); } Collections.sort(nodesMaxPhySorted, Collections.reverseOrder()); nodesMaxBudgetSorted = new ArrayList<Double>(nodesMaxPhySorted.size()); for (int i = 0; i < nodesMaxPhySorted.size(); i++) nodesMaxBudgetSorted.add(ResourceOptimizer.phyToBudget(nodesMaxPhySorted.get(i))); _remotePar = nodesReport.size(); if (_remotePar == 0) throw new YarnException("There are no available nodes in the yarn cluster"); // Now get the default cluster settings _remoteMRSortMem = (1024 * 1024) * conf.getLong("io.sort.mb", 100); //100MB //handle jvm max mem (map mem budget is relevant for map-side distcache and parfor) //(for robustness we probe both: child and map configuration parameters) String javaOpts1 = conf.get("mapred.child.java.opts"); //internally mapred/mapreduce synonym String javaOpts2 = conf.get("mapreduce.map.java.opts", null); //internally mapred/mapreduce synonym String javaOpts3 = conf.get("mapreduce.reduce.java.opts", null); //internally mapred/mapreduce synonym if (javaOpts2 != null) //specific value overrides generic _remoteJVMMaxMemMap = extractMaxMemoryOpt(javaOpts2); else _remoteJVMMaxMemMap = extractMaxMemoryOpt(javaOpts1); if (javaOpts3 != null) //specific value overrides generic _remoteJVMMaxMemReduce = extractMaxMemoryOpt(javaOpts3); else _remoteJVMMaxMemReduce = extractMaxMemoryOpt(javaOpts1); //HDFS blocksize String blocksize = conf.get(MRConfigurationNames.DFS_BLOCK_SIZE, "134217728"); _blocksize = Long.parseLong(blocksize); minimalPhyAllocate = (long) 1024 * 1024 * conf.getInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB, YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB); maximumPhyAllocate = (long) 1024 * 1024 * conf.getInt(YarnConfiguration.RM_SCHEDULER_MAXIMUM_ALLOCATION_MB, YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB); mrAMPhy = (long) conf.getInt("yarn.app.mapreduce.am.resource.mb", 1536) * 1024 * 1024; } catch (Exception e) { throw new RuntimeException("Unable to analyze yarn cluster ", e); } /* * This is for AppMaster to query available resource in the cluster during heartbeat * AMRMClient<ContainerRequest> rmClient = AMRMClient.createAMRMClient(); rmClient.init(conf); rmClient.start(); AllocateResponse response = rmClient.allocate(0); int nodeCount = response.getNumClusterNodes(); Resource resource = response.getAvailableResources(); List<NodeReport> nodeUpdate = response.getUpdatedNodes(); LOG.info("This is a " + nodeCount + " node cluster with totally " + resource.getMemory() + " memory and " + resource.getVirtualCores() + " cores"); LOG.info(nodereport.size() + " updatedNode reports received"); for (NodeReport node : nodeUpdate) { resource = node.getCapability(); LOG.info(node.getNodeId() + " updated with " + resource.getMemory() + " memory and " + resource.getVirtualCores() + " cores"); }*/ }
From source file:org.apache.sysml.yarn.ropt.YarnClusterAnalyzer.java
License:Apache License
/** * Analyzes properties of Yarn cluster and Hadoop configurations. * //from www. j a v a 2 s . c o m * @param yarnClient hadoop yarn client * @param conf hadoop yarn configuration * @param verbose output info to standard output */ public static void analyzeYarnCluster(YarnClient yarnClient, YarnConfiguration conf, boolean verbose) { try { List<NodeReport> nodesReport = yarnClient.getNodeReports(); if (verbose) System.out.println("There are " + nodesReport.size() + " nodes in the cluster"); if (nodesReport.isEmpty()) throw new YarnException("There are zero available nodes in the yarn cluster"); nodesMaxPhySorted = new ArrayList<>(nodesReport.size()); clusterTotalMem = 0; clusterTotalCores = 0; clusterTotalNodes = 0; minimumMRContainerPhyMB = -1; for (NodeReport node : nodesReport) { Resource resource = node.getCapability(); Resource used = node.getUsed(); if (used == null) used = Resource.newInstance(0, 0); int mb = resource.getMemory(); int cores = resource.getVirtualCores(); if (mb <= 0) throw new YarnException("A node has non-positive memory " + mb); int myMinMRPhyMB = mb / cores / CPU_HYPER_FACTOR; if (minimumMRContainerPhyMB < myMinMRPhyMB) minimumMRContainerPhyMB = myMinMRPhyMB; // minimumMRContainerPhyMB needs to be the largest among the mins clusterTotalMem += (long) mb * 1024 * 1024; nodesMaxPhySorted.add((long) mb * 1024 * 1024); clusterTotalCores += cores; clusterTotalNodes++; if (verbose) System.out.println("\t" + node.getNodeId() + " has " + mb + " MB (" + used.getMemory() + " MB used) memory and " + resource.getVirtualCores() + " (" + used.getVirtualCores() + " used) cores"); } Collections.sort(nodesMaxPhySorted, Collections.reverseOrder()); nodesMaxBudgetSorted = new ArrayList<>(nodesMaxPhySorted.size()); for (int i = 0; i < nodesMaxPhySorted.size(); i++) nodesMaxBudgetSorted.add(ResourceOptimizer.phyToBudget(nodesMaxPhySorted.get(i))); _remotePar = nodesReport.size(); if (_remotePar == 0) throw new YarnException("There are no available nodes in the yarn cluster"); // Now get the default cluster settings _remoteMRSortMem = (1024 * 1024) * conf.getLong(MRConfigurationNames.MR_TASK_IO_SORT_MB, 100); //100MB //handle jvm max mem (map mem budget is relevant for map-side distcache and parfor) //(for robustness we probe both: child and map configuration parameters) String javaOpts1 = conf.get(MRConfigurationNames.MR_CHILD_JAVA_OPTS); //internally mapred/mapreduce synonym String javaOpts2 = conf.get(MRConfigurationNames.MR_MAP_JAVA_OPTS, null); //internally mapred/mapreduce synonym String javaOpts3 = conf.get(MRConfigurationNames.MR_REDUCE_JAVA_OPTS, null); //internally mapred/mapreduce synonym if (javaOpts2 != null) //specific value overrides generic _remoteJVMMaxMemMap = extractMaxMemoryOpt(javaOpts2); else _remoteJVMMaxMemMap = extractMaxMemoryOpt(javaOpts1); if (javaOpts3 != null) //specific value overrides generic _remoteJVMMaxMemReduce = extractMaxMemoryOpt(javaOpts3); else _remoteJVMMaxMemReduce = extractMaxMemoryOpt(javaOpts1); //HDFS blocksize String blocksize = conf.get(MRConfigurationNames.DFS_BLOCKSIZE, "134217728"); _blocksize = Long.parseLong(blocksize); minimalPhyAllocate = (long) 1024 * 1024 * conf.getInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB, YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB); maximumPhyAllocate = (long) 1024 * 1024 * conf.getInt(YarnConfiguration.RM_SCHEDULER_MAXIMUM_ALLOCATION_MB, YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB); mrAMPhy = (long) conf.getInt(MRConfigurationNames.YARN_APP_MR_AM_RESOURCE_MB, 1536) * 1024 * 1024; } catch (Exception e) { throw new RuntimeException("Unable to analyze yarn cluster ", e); } /* * This is for AppMaster to query available resource in the cluster during heartbeat * AMRMClient<ContainerRequest> rmClient = AMRMClient.createAMRMClient(); rmClient.init(conf); rmClient.start(); AllocateResponse response = rmClient.allocate(0); int nodeCount = response.getNumClusterNodes(); Resource resource = response.getAvailableResources(); List<NodeReport> nodeUpdate = response.getUpdatedNodes(); LOG.info("This is a " + nodeCount + " node cluster with totally " + resource.getMemory() + " memory and " + resource.getVirtualCores() + " cores"); LOG.info(nodereport.size() + " updatedNode reports received"); for (NodeReport node : nodeUpdate) { resource = node.getCapability(); LOG.info(node.getNodeId() + " updated with " + resource.getMemory() + " memory and " + resource.getVirtualCores() + " cores"); }*/ }
From source file:org.apache.twill.yarn.YarnTwillPreparer.java
License:Apache License
YarnTwillPreparer(YarnConfiguration yarnConfig, TwillSpecification twillSpec, YarnAppClient yarnAppClient, String zkConnectString, LocationFactory locationFactory, String extraOptions, LogEntry.Level logLevel, YarnTwillControllerFactory controllerFactory) { this.yarnConfig = yarnConfig; this.twillSpec = twillSpec; this.yarnAppClient = yarnAppClient; this.zkConnectString = zkConnectString; this.locationFactory = locationFactory; this.controllerFactory = controllerFactory; this.runId = RunIds.generate(); this.credentials = createCredentials(); this.reservedMemory = yarnConfig.getInt(Configs.Keys.JAVA_RESERVED_MEMORY_MB, Configs.Defaults.JAVA_RESERVED_MEMORY_MB); this.extraOptions = extraOptions; this.logLevel = logLevel; this.classAcceptor = new ClassAcceptor(); }