Java Code Examples for org.apache.hadoop.mapreduce.Counters#getGroup()
The following examples show how to use
org.apache.hadoop.mapreduce.Counters#getGroup() .
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Example 1
Source File: CounterDump.java From datawave with Apache License 2.0 | 6 votes |
public String toString() { StringBuilder builder = new StringBuilder(); while (source.hasNext()) { Entry<String,Counters> nextCntr = source.next(); builder.append("\n").append(nextCntr.getKey()).append("\n----------------------\n"); Counters counters = nextCntr.getValue(); for (String groupName : counters.getGroupNames()) { CounterGroup group = counters.getGroup(groupName); Iterator<Counter> cntrItr = group.iterator(); while (cntrItr.hasNext()) { Counter counter = cntrItr.next(); builder.append(groupName).append("\t").append(counter.getDisplayName()).append("=").append(counter.getValue()).append("\n"); } } } return builder.toString(); }
Example 2
Source File: IngestMetricsSummaryLoader.java From datawave with Apache License 2.0 | 5 votes |
private static String checkForIngestLabelOverride(Counters ingestJobCounters) { CounterGroup jobQueueName = ingestJobCounters.getGroup(IngestProcess.METRICS_LABEL_OVERRIDE.name()); if (jobQueueName.size() > 0) { Counter myCounter = jobQueueName.iterator().next(); return myCounter.getName(); } return null; }
Example 3
Source File: FlagMakerMetricsMapper.java From datawave with Apache License 2.0 | 5 votes |
@Override public void map(Text flagFile, Counters counters, Context context) throws IOException, InterruptedException { System.out.println("Received counters for job " + flagFile); log.info(counters); long endTime = counters.findCounter(InputFile.FLAGMAKER_END_TIME).getValue(); long startTime = counters.findCounter(InputFile.FLAGMAKER_START_TIME).getValue(); Mutation statsPersist = new Mutation("flagFile\u0000" + flagFile); statsPersist.put("", "", new Value(serializeCounters(counters))); context.write(null, statsPersist); // Breaking it down into individual counters... Can't get individual stats when batch-processing in the FlagMaker for (Counter c : counters.getGroup(InputFile.class.getSimpleName())) { Text outFile = new Text(c.getName()); Mutation m = new Mutation(outFile); long fileTime = c.getValue(); try { Counters cs = new Counters(); cs.findCounter(InputFile.class.getSimpleName(), outFile.toString()).setValue(c.getValue()); cs.findCounter(FlagFile.class.getSimpleName(), flagFile.toString()).increment(1); cs.findCounter(InputFile.FLAGMAKER_END_TIME).setValue(endTime); cs.findCounter(InputFile.FLAGMAKER_START_TIME).setValue(startTime); m.put(WritableUtil.getLong(endTime - fileTime), WritableUtil.getLong(endTime), new Value(serializeCounters(cs))); context.write(null, m); } catch (IOException e) { log.error("Could not add counters to mutation!!!", e); } } }
Example 4
Source File: YarnJobStatsUtility.java From jumbune with GNU Lesser General Public License v3.0 | 5 votes |
/** * Adds detail for a Map phase. * @param task2 * * @param task2 the tasks * @param referencedZeroTime * @param referencedZeroTime the start time * @return the phase details */ private TaskOutputDetails addMapPhaseDetails(Entry<TaskAttemptID, TaskAttemptInfo> task, long referencedZeroTime) { TaskAttemptInfo taskAttemptInfo = (TaskAttemptInfo) (task.getValue()); TaskOutputDetails taskOutputDetails = new TaskOutputDetails(); if(taskAttemptInfo.getTaskStatus().equalsIgnoreCase("SUCCEEDED")){ taskOutputDetails.setTaskStatus(taskAttemptInfo.getTaskStatus()); taskOutputDetails.setTaskType(taskAttemptInfo.getTaskType().toString()); taskOutputDetails.setTaskID(taskAttemptInfo.getAttemptId().getTaskID().toString()); long startPoint = (taskAttemptInfo.getStartTime() - referencedZeroTime) / CONVERSION_FACTOR_MILLISECS_TO_SECS; taskOutputDetails.setStartPoint(startPoint); long endPoint = (taskAttemptInfo.getFinishTime() - referencedZeroTime) / CONVERSION_FACTOR_MILLISECS_TO_SECS; taskOutputDetails.setEndPoint(endPoint); taskOutputDetails.setTimeTaken(endPoint - startPoint); taskOutputDetails.setLocation(taskAttemptInfo.getHostname()); Counters counters = taskAttemptInfo.getCounters(); CounterGroup fileSystemCounters = counters.getGroup("org.apache.hadoop.mapreduce.FileSystemCounter"); Counter inputBytes = fileSystemCounters.findCounter("HDFS_BYTES_READ"); long dataFlowRate = inputBytes.getValue() / (endPoint - startPoint); taskOutputDetails.setDataFlowRate(dataFlowRate); CounterGroup mapReduceTaskCounters = counters.getGroup("org.apache.hadoop.mapreduce.TaskCounter"); Counter mapOutputRecords = mapReduceTaskCounters.findCounter("MAP_OUTPUT_RECORDS"); Counter physicalMemoryBytes = mapReduceTaskCounters.findCounter("PHYSICAL_MEMORY_BYTES"); ResourceUsageMetrics rum = new ResourceUsageMetrics(); rum.setPhysicalMemoryUsage(physicalMemoryBytes.getValue()); taskOutputDetails.setResourceUsageMetrics(rum); taskOutputDetails.setOutputRecords(mapOutputRecords.getValue()); Counter mapOutputBytes = mapReduceTaskCounters.findCounter("MAP_OUTPUT_BYTES"); taskOutputDetails.setOutputBytes(mapOutputBytes.getValue());} return taskOutputDetails; }
Example 5
Source File: HistoryViewer.java From hadoop with Apache License 2.0 | 4 votes |
private void printCounters(StringBuffer buff, Counters totalCounters, Counters mapCounters, Counters reduceCounters) { // Killed jobs might not have counters if (totalCounters == null) { return; } buff.append("\nCounters: \n\n"); buff.append(String.format("|%1$-30s|%2$-30s|%3$-10s|%4$-10s|%5$-10s|", "Group Name", "Counter name", "Map Value", "Reduce Value", "Total Value")); buff.append("\n------------------------------------------"+ "---------------------------------------------"); for (String groupName : totalCounters.getGroupNames()) { CounterGroup totalGroup = totalCounters.getGroup(groupName); CounterGroup mapGroup = mapCounters.getGroup(groupName); CounterGroup reduceGroup = reduceCounters.getGroup(groupName); Format decimal = new DecimalFormat(); Iterator<org.apache.hadoop.mapreduce.Counter> ctrItr = totalGroup.iterator(); while(ctrItr.hasNext()) { org.apache.hadoop.mapreduce.Counter counter = ctrItr.next(); String name = counter.getName(); String mapValue = decimal.format(mapGroup.findCounter(name).getValue()); String reduceValue = decimal.format(reduceGroup.findCounter(name).getValue()); String totalValue = decimal.format(counter.getValue()); buff.append( String.format("%n|%1$-30s|%2$-30s|%3$-10s|%4$-10s|%5$-10s", totalGroup.getDisplayName(), counter.getDisplayName(), mapValue, reduceValue, totalValue)); } } }
Example 6
Source File: HistoryViewer.java From big-c with Apache License 2.0 | 4 votes |
private void printCounters(StringBuffer buff, Counters totalCounters, Counters mapCounters, Counters reduceCounters) { // Killed jobs might not have counters if (totalCounters == null) { return; } buff.append("\nCounters: \n\n"); buff.append(String.format("|%1$-30s|%2$-30s|%3$-10s|%4$-10s|%5$-10s|", "Group Name", "Counter name", "Map Value", "Reduce Value", "Total Value")); buff.append("\n------------------------------------------"+ "---------------------------------------------"); for (String groupName : totalCounters.getGroupNames()) { CounterGroup totalGroup = totalCounters.getGroup(groupName); CounterGroup mapGroup = mapCounters.getGroup(groupName); CounterGroup reduceGroup = reduceCounters.getGroup(groupName); Format decimal = new DecimalFormat(); Iterator<org.apache.hadoop.mapreduce.Counter> ctrItr = totalGroup.iterator(); while(ctrItr.hasNext()) { org.apache.hadoop.mapreduce.Counter counter = ctrItr.next(); String name = counter.getName(); String mapValue = decimal.format(mapGroup.findCounter(name).getValue()); String reduceValue = decimal.format(reduceGroup.findCounter(name).getValue()); String totalValue = decimal.format(counter.getValue()); buff.append( String.format("%n|%1$-30s|%2$-30s|%3$-10s|%4$-10s|%5$-10s", totalGroup.getDisplayName(), counter.getDisplayName(), mapValue, reduceValue, totalValue)); } } }
Example 7
Source File: YarnJobStatsUtility.java From jumbune with GNU Lesser General Public License v3.0 | 4 votes |
/** * This method is responsible for populating the reduce phase details. * @return TaskOutputDetails contains the details of the reduce phase. */ private TaskOutputDetails addReducePhaseDetails( Entry<TaskAttemptID, TaskAttemptInfo> task, long referencedZeroTime) { TaskAttemptInfo taskAttemptInfo = (TaskAttemptInfo) (task.getValue()); TaskOutputDetails taskOutputDetails = new TaskOutputDetails(); if(taskAttemptInfo.getTaskStatus().equalsIgnoreCase("SUCCEEDED")){ taskOutputDetails.setTaskStatus(taskAttemptInfo.getTaskStatus()); taskOutputDetails.setTaskType(taskAttemptInfo.getTaskType().toString()); taskOutputDetails.setTaskID(taskAttemptInfo.getAttemptId().getTaskID().toString()); taskOutputDetails.setLocation(taskAttemptInfo.getHostname()); Counters counters = taskAttemptInfo.getCounters(); CounterGroup mapReduceTaskCounters = counters.getGroup("org.apache.hadoop.mapreduce.TaskCounter"); Counter reduceOutputRecords = mapReduceTaskCounters.findCounter("REDUCE_OUTPUT_RECORDS"); taskOutputDetails.setOutputRecords(reduceOutputRecords.getValue()); Counter reduceOutputBytes = mapReduceTaskCounters.findCounter("SPILLED_RECORDS"); taskOutputDetails.setOutputBytes(reduceOutputBytes.getValue()); long shuffleStartTime = (taskAttemptInfo.getStartTime()- referencedZeroTime)/CONVERSION_FACTOR_MILLISECS_TO_SECS; taskOutputDetails.setStartPoint(shuffleStartTime); taskOutputDetails.setShuffleStart(shuffleStartTime); LOGGER.debug("shuffle start time" + taskOutputDetails.getShuffleStart()); long shuffleEnd = ((taskAttemptInfo.getShuffleFinishTime()-referencedZeroTime)/CONVERSION_FACTOR_MILLISECS_TO_SECS); taskOutputDetails.setShuffleEnd(shuffleEnd); LOGGER.debug("shuffle end time" + taskOutputDetails.getShuffleEnd()); taskOutputDetails.setSortStart(shuffleEnd); long sortEnd = (taskAttemptInfo.getSortFinishTime()-referencedZeroTime)/CONVERSION_FACTOR_MILLISECS_TO_SECS; taskOutputDetails.setSortEnd(sortEnd); LOGGER.debug("sort end time" + taskOutputDetails.getSortEnd()); taskOutputDetails.setReduceStart(sortEnd); taskOutputDetails.setReduceEnd((taskAttemptInfo.getFinishTime()-referencedZeroTime)/CONVERSION_FACTOR_MILLISECS_TO_SECS); taskOutputDetails.setEndPoint(taskOutputDetails.getReduceEnd()); LOGGER.debug("Reduce end time" + taskOutputDetails.getReduceEnd()); long dataFlowRate = reduceOutputBytes.getValue() / (taskOutputDetails.getReduceEnd()-shuffleStartTime); taskOutputDetails.setDataFlowRate(dataFlowRate); Counter physicalMemoryBytes = mapReduceTaskCounters.findCounter("PHYSICAL_MEMORY_BYTES"); ResourceUsageMetrics rum = new ResourceUsageMetrics(); rum.setPhysicalMemoryUsage(physicalMemoryBytes.getValue()); taskOutputDetails.setResourceUsageMetrics(rum); } return taskOutputDetails; }