Examples with TimelineReaderContext org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext used on opensource projects

Example 1 with TimelineReaderContext

use of org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext in project hadoop by apache.

the class TestHBaseStorageFlowActivity method testWriteFlowActivityOneFlow.

/**
   * Write 1 application entity and checks the record for today in the flow
   * activity table.
   */
@Test
public void testWriteFlowActivityOneFlow() throws Exception {
    String cluster = "testWriteFlowActivityOneFlow_cluster1";
    String user = "testWriteFlowActivityOneFlow_user1";
    String flow = "flow_activity_test_flow_name";
    String flowVersion = "A122110F135BC4";
    long runid = 1001111178919L;
    TimelineEntities te = new TimelineEntities();
    long appCreatedTime = 1425016501000L;
    TimelineEntity entityApp1 = TestFlowDataGenerator.getFlowApp1(appCreatedTime);
    te.addEntity(entityApp1);
    HBaseTimelineWriterImpl hbi = null;
    Configuration c1 = util.getConfiguration();
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        String appName = "application_1111999999_1234";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        hbi.flush();
    } finally {
        if (hbi != null) {
            hbi.close();
        }
    }
    // check flow activity
    checkFlowActivityTable(cluster, user, flow, flowVersion, runid, c1, appCreatedTime);
    // use the reader to verify the data
    HBaseTimelineReaderImpl hbr = null;
    try {
        hbr = new HBaseTimelineReaderImpl();
        hbr.init(c1);
        hbr.start();
        Set<TimelineEntity> entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_ACTIVITY.toString(), null), new TimelineEntityFilters(10L, null, null, null, null, null, null, null, null), new TimelineDataToRetrieve());
        assertEquals(1, entities.size());
        for (TimelineEntity e : entities) {
            FlowActivityEntity entity = (FlowActivityEntity) e;
            NavigableSet<FlowRunEntity> flowRuns = entity.getFlowRuns();
            assertEquals(1, flowRuns.size());
            for (FlowRunEntity flowRun : flowRuns) {
                assertEquals(runid, flowRun.getRunId());
                assertEquals(flowVersion, flowRun.getVersion());
            }
        }
    } finally {
        if (hbr != null) {
            hbr.close();
        }
    }
}

Example 2 with TimelineReaderContext

use of org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext in project hadoop by apache.

the class TestHBaseStorageFlowActivity method testFlowActivityTableOneFlowMultipleRunIds.

/**
   * Writes 3 applications each with a different run id and version for the same
   * {cluster, user, flow}.
   *
   * They should be getting inserted into one record in the flow activity table
   * with 3 columns, one per run id.
   */
@Test
public void testFlowActivityTableOneFlowMultipleRunIds() throws IOException {
    String cluster = "testManyRunsFlowActivity_cluster1";
    String user = "testManyRunsFlowActivity_c_user1";
    String flow = "flow_activity_test_flow_name";
    String flowVersion1 = "A122110F135BC4";
    long runid1 = 11111111111L;
    String flowVersion2 = "A12222222222C4";
    long runid2 = 2222222222222L;
    String flowVersion3 = "A1333333333C4";
    long runid3 = 3333333333333L;
    TimelineEntities te = new TimelineEntities();
    long appCreatedTime = 1425016501000L;
    TimelineEntity entityApp1 = TestFlowDataGenerator.getFlowApp1(appCreatedTime);
    te.addEntity(entityApp1);
    HBaseTimelineWriterImpl hbi = null;
    Configuration c1 = util.getConfiguration();
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        String appName = "application_11888888888_1111";
        hbi.write(cluster, user, flow, flowVersion1, runid1, appName, te);
        // write an application with to this flow but a different runid/ version
        te = new TimelineEntities();
        te.addEntity(entityApp1);
        appName = "application_11888888888_2222";
        hbi.write(cluster, user, flow, flowVersion2, runid2, appName, te);
        // write an application with to this flow but a different runid/ version
        te = new TimelineEntities();
        te.addEntity(entityApp1);
        appName = "application_11888888888_3333";
        hbi.write(cluster, user, flow, flowVersion3, runid3, appName, te);
        hbi.flush();
    } finally {
        if (hbi != null) {
            hbi.close();
        }
    }
    // check flow activity
    checkFlowActivityTableSeveralRuns(cluster, user, flow, c1, flowVersion1, runid1, flowVersion2, runid2, flowVersion3, runid3, appCreatedTime);
    // use the timeline reader to verify data
    HBaseTimelineReaderImpl hbr = null;
    try {
        hbr = new HBaseTimelineReaderImpl();
        hbr.init(c1);
        hbr.start();
        Set<TimelineEntity> entities = hbr.getEntities(new TimelineReaderContext(cluster, null, null, null, null, TimelineEntityType.YARN_FLOW_ACTIVITY.toString(), null), new TimelineEntityFilters(10L, null, null, null, null, null, null, null, null), new TimelineDataToRetrieve());
        assertEquals(1, entities.size());
        for (TimelineEntity e : entities) {
            FlowActivityEntity flowActivity = (FlowActivityEntity) e;
            assertEquals(cluster, flowActivity.getCluster());
            assertEquals(user, flowActivity.getUser());
            assertEquals(flow, flowActivity.getFlowName());
            long dayTs = HBaseTimelineStorageUtils.getTopOfTheDayTimestamp(appCreatedTime);
            assertEquals(dayTs, flowActivity.getDate().getTime());
            Set<FlowRunEntity> flowRuns = flowActivity.getFlowRuns();
            assertEquals(3, flowRuns.size());
            for (FlowRunEntity flowRun : flowRuns) {
                long runId = flowRun.getRunId();
                String version = flowRun.getVersion();
                if (runId == runid1) {
                    assertEquals(flowVersion1, version);
                } else if (runId == runid2) {
                    assertEquals(flowVersion2, version);
                } else if (runId == runid3) {
                    assertEquals(flowVersion3, version);
                } else {
                    fail("unknown run id: " + runId);
                }
            }
        }
    } finally {
        if (hbr != null) {
            hbr.close();
        }
    }
}

Example 3 with TimelineReaderContext

use of org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext in project hadoop by apache.

the class TestHBaseStorageFlowRun method testWriteFlowRunsMetricFields.

@Test
public void testWriteFlowRunsMetricFields() throws Exception {
    String cluster = "testWriteFlowRunsMetricFields_cluster1";
    String user = "testWriteFlowRunsMetricFields_user1";
    String flow = "testWriteFlowRunsMetricFields_flow_name";
    String flowVersion = "CF7022C10F1354";
    long runid = 1002345678919L;
    TimelineEntities te = new TimelineEntities();
    TimelineEntity entityApp1 = TestFlowDataGenerator.getEntityMetricsApp1(System.currentTimeMillis());
    te.addEntity(entityApp1);
    HBaseTimelineWriterImpl hbi = null;
    Configuration c1 = util.getConfiguration();
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        String appName = "application_11111111111111_1111";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        // write another application with same metric to this flow
        te = new TimelineEntities();
        TimelineEntity entityApp2 = TestFlowDataGenerator.getEntityMetricsApp2(System.currentTimeMillis());
        te.addEntity(entityApp2);
        appName = "application_11111111111111_2222";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        hbi.flush();
    } finally {
        if (hbi != null) {
            hbi.close();
        }
    }
    // check flow run
    checkFlowRunTable(cluster, user, flow, runid, c1);
    // use the timeline reader to verify data
    HBaseTimelineReaderImpl hbr = null;
    try {
        hbr = new HBaseTimelineReaderImpl();
        hbr.init(c1);
        hbr.start();
        Set<TimelineEntity> entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, runid, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(), new TimelineDataToRetrieve());
        assertEquals(1, entities.size());
        for (TimelineEntity timelineEntity : entities) {
            assertEquals(0, timelineEntity.getMetrics().size());
        }
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, runid, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.METRICS), null));
        assertEquals(1, entities.size());
        for (TimelineEntity timelineEntity : entities) {
            Set<TimelineMetric> timelineMetrics = timelineEntity.getMetrics();
            assertEquals(2, timelineMetrics.size());
            for (TimelineMetric metric : timelineMetrics) {
                String id = metric.getId();
                Map<Long, Number> values = metric.getValues();
                assertEquals(1, values.size());
                Number value = null;
                for (Number n : values.values()) {
                    value = n;
                }
                switch(id) {
                    case METRIC1:
                        assertEquals(141L, value);
                        break;
                    case METRIC2:
                        assertEquals(57L, value);
                        break;
                    default:
                        fail("unrecognized metric: " + id);
                }
            }
        }
    } finally {
        if (hbr != null) {
            hbr.close();
        }
    }
}

Example 4 with TimelineReaderContext

use of org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext in project hadoop by apache.

the class TestHBaseStorageFlowRun method testMetricFilters.

@Test
public void testMetricFilters() throws Exception {
    String cluster = "cluster1";
    String user = "user1";
    String flow = "flow_name1";
    TimelineEntities te = new TimelineEntities();
    TimelineEntity entityApp1 = TestFlowDataGenerator.getEntityMetricsApp1(System.currentTimeMillis());
    te.addEntity(entityApp1);
    HBaseTimelineWriterImpl hbi = null;
    Configuration c1 = util.getConfiguration();
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        hbi.write(cluster, user, flow, "CF7022C10F1354", 1002345678919L, "application_11111111111111_1111", te);
        // write another application with same metric to this flow
        te = new TimelineEntities();
        TimelineEntity entityApp2 = TestFlowDataGenerator.getEntityMetricsApp2(System.currentTimeMillis());
        te.addEntity(entityApp2);
        hbi.write(cluster, user, flow, "CF7022C10F1354", 1002345678918L, "application_11111111111111_2222", te);
        hbi.flush();
    } finally {
        if (hbi != null) {
            hbi.close();
        }
    }
    // use the timeline reader to verify data
    HBaseTimelineReaderImpl hbr = null;
    try {
        hbr = new HBaseTimelineReaderImpl();
        hbr.init(c1);
        hbr.start();
        TimelineFilterList list1 = new TimelineFilterList();
        list1.addFilter(new TimelineCompareFilter(TimelineCompareOp.GREATER_OR_EQUAL, METRIC1, 101));
        TimelineFilterList list2 = new TimelineFilterList();
        list2.addFilter(new TimelineCompareFilter(TimelineCompareOp.LESS_THAN, METRIC1, 43));
        list2.addFilter(new TimelineCompareFilter(TimelineCompareOp.EQUAL, METRIC2, 57));
        TimelineFilterList metricFilterList = new TimelineFilterList(Operator.OR, list1, list2);
        Set<TimelineEntity> entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, null, null, null, null, null, null, metricFilterList, null), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.METRICS), null));
        assertEquals(2, entities.size());
        int metricCnt = 0;
        for (TimelineEntity entity : entities) {
            metricCnt += entity.getMetrics().size();
        }
        assertEquals(3, metricCnt);
        TimelineFilterList metricFilterList1 = new TimelineFilterList(new TimelineCompareFilter(TimelineCompareOp.LESS_OR_EQUAL, METRIC1, 127), new TimelineCompareFilter(TimelineCompareOp.NOT_EQUAL, METRIC2, 30));
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, null, null, null, null, null, null, metricFilterList1, null), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.METRICS), null));
        assertEquals(1, entities.size());
        metricCnt = 0;
        for (TimelineEntity entity : entities) {
            metricCnt += entity.getMetrics().size();
        }
        assertEquals(2, metricCnt);
        TimelineFilterList metricFilterList2 = new TimelineFilterList(new TimelineCompareFilter(TimelineCompareOp.LESS_THAN, METRIC1, 32), new TimelineCompareFilter(TimelineCompareOp.NOT_EQUAL, METRIC2, 57));
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, null, null, null, null, null, null, metricFilterList2, null), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.METRICS), null));
        assertEquals(0, entities.size());
        TimelineFilterList metricFilterList3 = new TimelineFilterList(new TimelineCompareFilter(TimelineCompareOp.EQUAL, "s_metric", 32));
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, null, null, null, null, null, null, metricFilterList3, null), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.METRICS), null));
        assertEquals(0, entities.size());
        TimelineFilterList list3 = new TimelineFilterList();
        list3.addFilter(new TimelineCompareFilter(TimelineCompareOp.GREATER_OR_EQUAL, METRIC1, 101));
        TimelineFilterList list4 = new TimelineFilterList();
        list4.addFilter(new TimelineCompareFilter(TimelineCompareOp.LESS_THAN, METRIC1, 43));
        list4.addFilter(new TimelineCompareFilter(TimelineCompareOp.EQUAL, METRIC2, 57));
        TimelineFilterList metricFilterList4 = new TimelineFilterList(Operator.OR, list3, list4);
        TimelineFilterList metricsToRetrieve = new TimelineFilterList(Operator.OR, new TimelinePrefixFilter(TimelineCompareOp.EQUAL, METRIC2.substring(0, METRIC2.indexOf("_") + 1)));
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, null, null, null, null, null, null, metricFilterList4, null), new TimelineDataToRetrieve(null, metricsToRetrieve, EnumSet.of(Field.ALL), null));
        assertEquals(2, entities.size());
        metricCnt = 0;
        for (TimelineEntity entity : entities) {
            metricCnt += entity.getMetrics().size();
        }
        assertEquals(1, metricCnt);
    } finally {
        if (hbr != null) {
            hbr.close();
        }
    }
}

Example 5 with TimelineReaderContext

use of org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext in project hadoop by apache.

the class TestHBaseTimelineStorageApps method testWriteApplicationToHBase.

@Test
public void testWriteApplicationToHBase() throws Exception {
    TimelineEntities te = new TimelineEntities();
    ApplicationEntity entity = new ApplicationEntity();
    String appId = "application_1000178881110_2002";
    entity.setId(appId);
    Long cTime = 1425016501000L;
    entity.setCreatedTime(cTime);
    // add the info map in Timeline Entity
    Map<String, Object> infoMap = new HashMap<String, Object>();
    infoMap.put("infoMapKey1", "infoMapValue1");
    infoMap.put("infoMapKey2", 10);
    entity.addInfo(infoMap);
    // add the isRelatedToEntity info
    String key = "task";
    String value = "is_related_to_entity_id_here";
    Set<String> isRelatedToSet = new HashSet<String>();
    isRelatedToSet.add(value);
    Map<String, Set<String>> isRelatedTo = new HashMap<String, Set<String>>();
    isRelatedTo.put(key, isRelatedToSet);
    entity.setIsRelatedToEntities(isRelatedTo);
    // add the relatesTo info
    key = "container";
    value = "relates_to_entity_id_here";
    Set<String> relatesToSet = new HashSet<String>();
    relatesToSet.add(value);
    value = "relates_to_entity_id_here_Second";
    relatesToSet.add(value);
    Map<String, Set<String>> relatesTo = new HashMap<String, Set<String>>();
    relatesTo.put(key, relatesToSet);
    entity.setRelatesToEntities(relatesTo);
    // add some config entries
    Map<String, String> conf = new HashMap<String, String>();
    conf.put("config_param1", "value1");
    conf.put("config_param2", "value2");
    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, Number>();
    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);
    entity.addMetrics(metrics);
    // add aggregated metrics
    TimelineEntity aggEntity = new TimelineEntity();
    String type = TimelineEntityType.YARN_APPLICATION.toString();
    aggEntity.setId(appId);
    aggEntity.setType(type);
    long cTime2 = 1425016502000L;
    aggEntity.setCreatedTime(cTime2);
    TimelineMetric aggMetric = new TimelineMetric();
    aggMetric.setId("MEM_USAGE");
    Map<Long, Number> aggMetricValues = new HashMap<Long, Number>();
    long aggTs = ts;
    aggMetricValues.put(aggTs - 120000, 102400000L);
    aggMetric.setType(Type.SINGLE_VALUE);
    aggMetric.setRealtimeAggregationOp(TimelineMetricOperation.SUM);
    aggMetric.setValues(aggMetricValues);
    Set<TimelineMetric> aggMetrics = new HashSet<>();
    aggMetrics.add(aggMetric);
    entity.addMetrics(aggMetrics);
    te.addEntity(entity);
    HBaseTimelineWriterImpl hbi = null;
    try {
        Configuration c1 = util.getConfiguration();
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        hbi.start();
        String cluster = "cluster_test_write_app";
        String user = "user1";
        String flow = "s!ome_f\tlow  _n am!e";
        String flowVersion = "AB7822C10F1111";
        long runid = 1002345678919L;
        hbi.write(cluster, user, flow, flowVersion, runid, appId, te);
        // Write entity again, this time without created time.
        entity = new ApplicationEntity();
        appId = "application_1000178881110_2002";
        entity.setId(appId);
        // add the info map in Timeline Entity
        Map<String, Object> infoMap1 = new HashMap<>();
        infoMap1.put("infoMapKey3", "infoMapValue1");
        entity.addInfo(infoMap1);
        te = new TimelineEntities();
        te.addEntity(entity);
        hbi.write(cluster, user, flow, flowVersion, runid, appId, te);
        hbi.stop();
        infoMap.putAll(infoMap1);
        // retrieve the row
        ApplicationRowKey applicationRowKey = new ApplicationRowKey(cluster, user, flow, runid, appId);
        byte[] rowKey = applicationRowKey.getRowKey();
        Get get = new Get(rowKey);
        get.setMaxVersions(Integer.MAX_VALUE);
        Connection conn = ConnectionFactory.createConnection(c1);
        Result result = new ApplicationTable().getResult(c1, conn, get);
        assertTrue(result != null);
        assertEquals(17, result.size());
        // check the row key
        byte[] row1 = result.getRow();
        assertTrue(isApplicationRowKeyCorrect(row1, cluster, user, flow, runid, appId));
        // check info column family
        String id1 = ApplicationColumn.ID.readResult(result).toString();
        assertEquals(appId, id1);
        Long cTime1 = (Long) ApplicationColumn.CREATED_TIME.readResult(result);
        assertEquals(cTime, cTime1);
        Map<String, Object> infoColumns = ApplicationColumnPrefix.INFO.readResults(result, new StringKeyConverter());
        assertEquals(infoMap, infoColumns);
        // Remember isRelatedTo is of type Map<String, Set<String>>
        for (Map.Entry<String, Set<String>> isRelatedToEntry : isRelatedTo.entrySet()) {
            Object isRelatedToValue = ApplicationColumnPrefix.IS_RELATED_TO.readResult(result, isRelatedToEntry.getKey());
            String compoundValue = isRelatedToValue.toString();
            // id7?id9?id6
            Set<String> isRelatedToValues = new HashSet<String>(Separator.VALUES.splitEncoded(compoundValue));
            assertEquals(isRelatedTo.get(isRelatedToEntry.getKey()).size(), isRelatedToValues.size());
            for (String v : isRelatedToEntry.getValue()) {
                assertTrue(isRelatedToValues.contains(v));
            }
        }
        // RelatesTo
        for (Map.Entry<String, Set<String>> relatesToEntry : relatesTo.entrySet()) {
            String compoundValue = ApplicationColumnPrefix.RELATES_TO.readResult(result, relatesToEntry.getKey()).toString();
            // id3?id4?id5
            Set<String> relatesToValues = new HashSet<String>(Separator.VALUES.splitEncoded(compoundValue));
            assertEquals(relatesTo.get(relatesToEntry.getKey()).size(), relatesToValues.size());
            for (String v : relatesToEntry.getValue()) {
                assertTrue(relatesToValues.contains(v));
            }
        }
        KeyConverter<String> stringKeyConverter = new StringKeyConverter();
        // Configuration
        Map<String, Object> configColumns = ApplicationColumnPrefix.CONFIG.readResults(result, stringKeyConverter);
        assertEquals(conf, configColumns);
        NavigableMap<String, NavigableMap<Long, Number>> metricsResult = ApplicationColumnPrefix.METRIC.readResultsWithTimestamps(result, stringKeyConverter);
        NavigableMap<Long, Number> metricMap = metricsResult.get(m1.getId());
        matchMetrics(metricValues, metricMap);
        // read the timeline entity using the reader this time. In metrics limit
        // specify Integer MAX_VALUE. A TIME_SERIES will be returned(if more than
        // one value exists for a metric).
        TimelineEntity e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appId, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(TimelineReader.Field.ALL), Integer.MAX_VALUE));
        assertNotNull(e1);
        // verify attributes
        assertEquals(appId, e1.getId());
        assertEquals(TimelineEntityType.YARN_APPLICATION.toString(), e1.getType());
        assertEquals(cTime, e1.getCreatedTime());
        Map<String, Object> infoMap2 = e1.getInfo();
        assertEquals(infoMap, infoMap2);
        Map<String, Set<String>> isRelatedTo2 = e1.getIsRelatedToEntities();
        assertEquals(isRelatedTo, isRelatedTo2);
        Map<String, Set<String>> relatesTo2 = e1.getRelatesToEntities();
        assertEquals(relatesTo, relatesTo2);
        Map<String, String> conf2 = e1.getConfigs();
        assertEquals(conf, conf2);
        Set<TimelineMetric> metrics2 = e1.getMetrics();
        assertEquals(2, metrics2.size());
        for (TimelineMetric metric2 : metrics2) {
            Map<Long, Number> metricValues2 = metric2.getValues();
            assertTrue(metric2.getId().equals("MAP_SLOT_MILLIS") || metric2.getId().equals("MEM_USAGE"));
            if (metric2.getId().equals("MAP_SLOT_MILLIS")) {
                assertEquals(6, metricValues2.size());
                matchMetrics(metricValues, metricValues2);
            }
            if (metric2.getId().equals("MEM_USAGE")) {
                assertEquals(1, metricValues2.size());
                matchMetrics(aggMetricValues, metricValues2);
            }
        }
        // In metrics limit specify a value of 3. No more than 3 values for a
        // metric will be returned.
        e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appId, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(TimelineReader.Field.ALL), 3));
        assertNotNull(e1);
        assertEquals(appId, e1.getId());
        assertEquals(TimelineEntityType.YARN_APPLICATION.toString(), e1.getType());
        assertEquals(conf, e1.getConfigs());
        metrics2 = e1.getMetrics();
        assertEquals(2, metrics2.size());
        for (TimelineMetric metric2 : metrics2) {
            Map<Long, Number> metricValues2 = metric2.getValues();
            assertTrue(metricValues2.size() <= 3);
            assertTrue(metric2.getId().equals("MAP_SLOT_MILLIS") || metric2.getId().equals("MEM_USAGE"));
        }
        // Check if single value(latest value) instead of time series is returned
        // if metricslimit is not set(null), irrespective of number of metric
        // values.
        e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appId, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(TimelineReader.Field.ALL), null));
        assertNotNull(e1);
        assertEquals(appId, e1.getId());
        assertEquals(TimelineEntityType.YARN_APPLICATION.toString(), e1.getType());
        assertEquals(cTime, e1.getCreatedTime());
        assertEquals(infoMap, e1.getInfo());
        assertEquals(isRelatedTo, e1.getIsRelatedToEntities());
        assertEquals(relatesTo, e1.getRelatesToEntities());
        assertEquals(conf, e1.getConfigs());
        assertEquals(2, e1.getMetrics().size());
        for (TimelineMetric metric : e1.getMetrics()) {
            assertEquals(1, metric.getValues().size());
            assertEquals(TimelineMetric.Type.SINGLE_VALUE, metric.getType());
            assertTrue(metric.getId().equals("MAP_SLOT_MILLIS") || metric.getId().equals("MEM_USAGE"));
            assertEquals(1, metric.getValues().size());
            if (metric.getId().equals("MAP_SLOT_MILLIS")) {
                assertTrue(metric.getValues().containsKey(ts - 20000));
                assertEquals(metricValues.get(ts - 20000), metric.getValues().get(ts - 20000));
            }
            if (metric.getId().equals("MEM_USAGE")) {
                assertTrue(metric.getValues().containsKey(aggTs - 120000));
                assertEquals(aggMetricValues.get(aggTs - 120000), metric.getValues().get(aggTs - 120000));
            }
        }
    } finally {
        if (hbi != null) {
            hbi.stop();
            hbi.close();
        }
    }
}