Examples with TimelineMetric org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric used on opensource projects

Example 26 with TimelineMetric

use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.

the class TestTimelineCollector method generateTestEntities.

private TimelineEntities generateTestEntities(int groups, int entities) {
    TimelineEntities te = new TimelineEntities();
    for (int j = 0; j < groups; j++) {
        for (int i = 0; i < entities; i++) {
            TimelineEntity entity = new TimelineEntity();
            String containerId = "container_1000178881110_2002_" + i;
            entity.setId(containerId);
            String entityType = "TEST_" + j;
            entity.setType(entityType);
            long cTime = 1425016501000L;
            entity.setCreatedTime(cTime);
            // add metrics
            Set<TimelineMetric> metrics = new HashSet<>();
            TimelineMetric m1 = new TimelineMetric();
            m1.setId("HDFS_BYTES_WRITE");
            m1.setRealtimeAggregationOp(TimelineMetricOperation.SUM);
            long ts = System.currentTimeMillis();
            m1.addValue(ts - 20000, 100L);
            metrics.add(m1);
            TimelineMetric m2 = new TimelineMetric();
            m2.setId("VCORES_USED");
            m2.setRealtimeAggregationOp(TimelineMetricOperation.SUM);
            m2.addValue(ts - 20000, 3L);
            metrics.add(m2);
            // m3 should not show up in the aggregation
            TimelineMetric m3 = new TimelineMetric();
            m3.setId("UNRELATED_VALUES");
            m3.addValue(ts - 20000, 3L);
            metrics.add(m3);
            TimelineMetric m4 = new TimelineMetric();
            m4.setId("TXN_FINISH_TIME");
            m4.setRealtimeAggregationOp(TimelineMetricOperation.MAX);
            m4.addValue(ts - 20000, i);
            metrics.add(m4);
            entity.addMetrics(metrics);
            te.addEntity(entity);
        }
    }
    return te;
}

Example 27 with TimelineMetric

use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.

the class TestTimelineCollector method testAggregation.

@Test
public void testAggregation() throws Exception {
    // Test aggregation with multiple groups.
    int groups = 3;
    int n = 50;
    TimelineEntities testEntities = generateTestEntities(groups, n);
    TimelineEntity resultEntity = TimelineCollector.aggregateEntities(testEntities, "test_result", "TEST_AGGR", true);
    assertEquals(resultEntity.getMetrics().size(), groups * 3);
    for (int i = 0; i < groups; i++) {
        Set<TimelineMetric> metrics = resultEntity.getMetrics();
        for (TimelineMetric m : metrics) {
            if (m.getId().startsWith("HDFS_BYTES_WRITE")) {
                assertEquals(100 * n, m.getSingleDataValue().intValue());
            } else if (m.getId().startsWith("VCORES_USED")) {
                assertEquals(3 * n, m.getSingleDataValue().intValue());
            } else if (m.getId().startsWith("TXN_FINISH_TIME")) {
                assertEquals(n - 1, m.getSingleDataValue());
            } else {
                fail("Unrecognized metric! " + m.getId());
            }
        }
    }
    // Test aggregation with a single group.
    TimelineEntities testEntities1 = generateTestEntities(1, n);
    TimelineEntity resultEntity1 = TimelineCollector.aggregateEntities(testEntities1, "test_result", "TEST_AGGR", false);
    assertEquals(resultEntity1.getMetrics().size(), 3);
    Set<TimelineMetric> metrics = resultEntity1.getMetrics();
    for (TimelineMetric m : metrics) {
        if (m.getId().equals("HDFS_BYTES_WRITE")) {
            assertEquals(100 * n, m.getSingleDataValue().intValue());
        } else if (m.getId().equals("VCORES_USED")) {
            assertEquals(3 * n, m.getSingleDataValue().intValue());
        } else if (m.getId().equals("TXN_FINISH_TIME")) {
            assertEquals(n - 1, m.getSingleDataValue());
        } else {
            fail("Unrecognized metric! " + m.getId());
        }
    }
}

Example 28 with TimelineMetric

use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.

the class SimpleEntityWriterV2 method writeEntities.

protected void writeEntities(Configuration tlConf, TimelineCollectorManager manager, Context context) throws IOException {
    Configuration conf = context.getConfiguration();
    // simulate the app id with the task id
    int taskId = context.getTaskAttemptID().getTaskID().getId();
    long timestamp = conf.getLong(TIMELINE_SERVICE_PERFORMANCE_RUN_ID, 0);
    ApplicationId appId = ApplicationId.newInstance(timestamp, taskId);
    // create the app level timeline collector
    AppLevelTimelineCollector collector = new AppLevelTimelineCollector(appId);
    manager.putIfAbsent(appId, collector);
    try {
        // set the context
        // flow id: job name, flow run id: timestamp, user id
        TimelineCollectorContext tlContext = collector.getTimelineEntityContext();
        tlContext.setFlowName(context.getJobName());
        tlContext.setFlowRunId(timestamp);
        tlContext.setUserId(context.getUser());
        final int kbs = conf.getInt(KBS_SENT, KBS_SENT_DEFAULT);
        long totalTime = 0;
        final int testtimes = conf.getInt(TEST_TIMES, TEST_TIMES_DEFAULT);
        final Random rand = new Random();
        final TaskAttemptID taskAttemptId = context.getTaskAttemptID();
        final char[] payLoad = new char[kbs * 1024];
        for (int i = 0; i < testtimes; i++) {
            // Generate a fixed length random payload
            for (int xx = 0; xx < kbs * 1024; xx++) {
                int alphaNumIdx = rand.nextInt(ALPHA_NUMS.length);
                payLoad[xx] = ALPHA_NUMS[alphaNumIdx];
            }
            String entId = taskAttemptId + "_" + Integer.toString(i);
            final TimelineEntity entity = new TimelineEntity();
            entity.setId(entId);
            entity.setType("FOO_ATTEMPT");
            entity.addInfo("PERF_TEST", payLoad);
            // add an event
            TimelineEvent event = new TimelineEvent();
            event.setId("foo_event_id");
            event.setTimestamp(System.currentTimeMillis());
            event.addInfo("foo_event", "test");
            entity.addEvent(event);
            // add a metric
            TimelineMetric metric = new TimelineMetric();
            metric.setId("foo_metric");
            metric.addValue(System.currentTimeMillis(), 123456789L);
            entity.addMetric(metric);
            // add a config
            entity.addConfig("foo", "bar");
            TimelineEntities entities = new TimelineEntities();
            entities.addEntity(entity);
            // use the current user for this purpose
            UserGroupInformation ugi = UserGroupInformation.getCurrentUser();
            long startWrite = System.nanoTime();
            try {
                collector.putEntities(entities, ugi);
            } catch (Exception e) {
                context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_FAILURES).increment(1);
                LOG.error("writing to the timeline service failed", e);
            }
            long endWrite = System.nanoTime();
            totalTime += TimeUnit.NANOSECONDS.toMillis(endWrite - startWrite);
        }
        LOG.info("wrote " + testtimes + " entities (" + kbs * testtimes + " kB) in " + totalTime + " ms");
        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_TIME).increment(totalTime);
        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_COUNTER).increment(testtimes);
        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_KBS).increment(kbs * testtimes);
    } finally {
        // clean up
        manager.remove(appId);
    }
}

Example 29 with TimelineMetric

use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.

the class JobHistoryEventUtils method countersToTimelineMetric.

public static Set<TimelineMetric> countersToTimelineMetric(Counters counters, long timestamp, String groupNamePrefix) {
    Set<TimelineMetric> entityMetrics = new HashSet<TimelineMetric>();
    for (CounterGroup g : counters) {
        String groupName = g.getName();
        for (Counter c : g) {
            String name = groupNamePrefix + groupName + ":" + c.getName();
            TimelineMetric metric = new TimelineMetric();
            metric.setId(name);
            metric.addValue(timestamp, c.getValue());
            entityMetrics.add(metric);
        }
    }
    return entityMetrics;
}

Example 30 with TimelineMetric

use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.

the class DataGeneratorForTest method loadApps.

static void loadApps(HBaseTestingUtility util) throws IOException {
    TimelineEntities te = new TimelineEntities();
    TimelineEntity entity = new TimelineEntity();
    String id = "application_1111111111_2222";
    entity.setId(id);
    entity.setType(TimelineEntityType.YARN_APPLICATION.toString());
    Long cTime = 1425016502000L;
    entity.setCreatedTime(cTime);
    // add the info map in Timeline Entity
    Map<String, Object> infoMap = new HashMap<>();
    infoMap.put("infoMapKey1", "infoMapValue2");
    infoMap.put("infoMapKey2", 20);
    infoMap.put("infoMapKey3", 85.85);
    entity.addInfo(infoMap);
    // add the isRelatedToEntity info
    Set<String> isRelatedToSet = new HashSet<>();
    isRelatedToSet.add("relatedto1");
    Map<String, Set<String>> isRelatedTo = new HashMap<>();
    isRelatedTo.put("task", isRelatedToSet);
    entity.setIsRelatedToEntities(isRelatedTo);
    // add the relatesTo info
    Set<String> relatesToSet = new HashSet<>();
    relatesToSet.add("relatesto1");
    relatesToSet.add("relatesto3");
    Map<String, Set<String>> relatesTo = new HashMap<>();
    relatesTo.put("container", relatesToSet);
    Set<String> relatesToSet11 = new HashSet<>();
    relatesToSet11.add("relatesto4");
    relatesTo.put("container1", relatesToSet11);
    entity.setRelatesToEntities(relatesTo);
    // add some config entries
    Map<String, String> conf = new HashMap<>();
    conf.put("config_param1", "value1");
    conf.put("config_param2", "value2");
    conf.put("cfg_param1", "value3");
    entity.addConfigs(conf);
    // add metrics
    Set<TimelineMetric> metrics = new HashSet<>();
    TimelineMetric m1 = new TimelineMetric();
    m1.setId("MAP_SLOT_MILLIS");
    Map<Long, Number> metricValues = new HashMap<>();
    long ts = System.currentTimeMillis();
    metricValues.put(ts - 120000, 100000000);
    metricValues.put(ts - 100000, 200000000);
    metricValues.put(ts - 80000, 300000000);
    metricValues.put(ts - 60000, 400000000);
    metricValues.put(ts - 40000, 50000000000L);
    metricValues.put(ts - 20000, 60000000000L);
    m1.setType(Type.TIME_SERIES);
    m1.setValues(metricValues);
    metrics.add(m1);
    TimelineMetric m12 = new TimelineMetric();
    m12.setId("MAP1_BYTES");
    m12.addValue(ts, 50);
    metrics.add(m12);
    entity.addMetrics(metrics);
    TimelineEvent event = new TimelineEvent();
    event.setId("start_event");
    event.setTimestamp(ts);
    entity.addEvent(event);
    te.addEntity(entity);
    TimelineEntities te1 = new TimelineEntities();
    TimelineEntity entity1 = new TimelineEntity();
    String id1 = "application_1111111111_3333";
    entity1.setId(id1);
    entity1.setType(TimelineEntityType.YARN_APPLICATION.toString());
    entity1.setCreatedTime(cTime + 20L);
    // add the info map in Timeline Entity
    Map<String, Object> infoMap1 = new HashMap<>();
    infoMap1.put("infoMapKey1", "infoMapValue1");
    infoMap1.put("infoMapKey2", 10);
    entity1.addInfo(infoMap1);
    // add the isRelatedToEntity info
    Set<String> isRelatedToSet1 = new HashSet<>();
    isRelatedToSet1.add("relatedto3");
    isRelatedToSet1.add("relatedto5");
    Map<String, Set<String>> isRelatedTo1 = new HashMap<>();
    isRelatedTo1.put("task1", isRelatedToSet1);
    Set<String> isRelatedToSet11 = new HashSet<>();
    isRelatedToSet11.add("relatedto4");
    isRelatedTo1.put("task2", isRelatedToSet11);
    entity1.setIsRelatedToEntities(isRelatedTo1);
    // add the relatesTo info
    Set<String> relatesToSet1 = new HashSet<>();
    relatesToSet1.add("relatesto1");
    relatesToSet1.add("relatesto2");
    Map<String, Set<String>> relatesTo1 = new HashMap<>();
    relatesTo1.put("container", relatesToSet1);
    entity1.setRelatesToEntities(relatesTo1);
    // add some config entries
    Map<String, String> conf1 = new HashMap<>();
    conf1.put("cfg_param1", "value1");
    conf1.put("cfg_param2", "value2");
    entity1.addConfigs(conf1);
    // add metrics
    Set<TimelineMetric> metrics1 = new HashSet<>();
    TimelineMetric m2 = new TimelineMetric();
    m2.setId("MAP1_SLOT_MILLIS");
    Map<Long, Number> metricValues1 = new HashMap<>();
    long ts1 = System.currentTimeMillis();
    metricValues1.put(ts1 - 120000, 100000000);
    metricValues1.put(ts1 - 100000, 200000000);
    metricValues1.put(ts1 - 80000, 300000000);
    metricValues1.put(ts1 - 60000, 400000000);
    metricValues1.put(ts1 - 40000, 50000000000L);
    metricValues1.put(ts1 - 20000, 60000000000L);
    m2.setType(Type.TIME_SERIES);
    m2.setValues(metricValues1);
    metrics1.add(m2);
    entity1.addMetrics(metrics1);
    TimelineEvent event11 = new TimelineEvent();
    event11.setId("end_event");
    event11.setTimestamp(ts);
    entity1.addEvent(event11);
    TimelineEvent event12 = new TimelineEvent();
    event12.setId("update_event");
    event12.setTimestamp(ts - 10);
    entity1.addEvent(event12);
    te1.addEntity(entity1);
    TimelineEntities te2 = new TimelineEntities();
    TimelineEntity entity2 = new TimelineEntity();
    String id2 = "application_1111111111_4444";
    entity2.setId(id2);
    entity2.setType(TimelineEntityType.YARN_APPLICATION.toString());
    entity2.setCreatedTime(cTime + 40L);
    TimelineEvent event21 = new TimelineEvent();
    event21.setId("update_event");
    event21.setTimestamp(ts - 20);
    entity2.addEvent(event21);
    Set<String> isRelatedToSet2 = new HashSet<String>();
    isRelatedToSet2.add("relatedto3");
    Map<String, Set<String>> isRelatedTo2 = new HashMap<>();
    isRelatedTo2.put("task1", isRelatedToSet2);
    entity2.setIsRelatedToEntities(isRelatedTo2);
    Map<String, Set<String>> relatesTo3 = new HashMap<>();
    Set<String> relatesToSet14 = new HashSet<String>();
    relatesToSet14.add("relatesto7");
    relatesTo3.put("container2", relatesToSet14);
    entity2.setRelatesToEntities(relatesTo3);
    te2.addEntity(entity2);
    HBaseTimelineWriterImpl hbi = null;
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(util.getConfiguration());
        hbi.start();
        String cluster = "cluster1";
        String user = "user1";
        String flow = "some_flow_name";
        String flowVersion = "AB7822C10F1111";
        long runid = 1002345678919L;
        String appName = "application_1111111111_2222";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        appName = "application_1111111111_3333";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te1);
        appName = "application_1111111111_4444";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te2);
        hbi.stop();
    } finally {
        if (hbi != null) {
            hbi.stop();
            hbi.close();
        }
    }
}