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Example 1 with ApplicationTable

use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable 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();
        }
    }
}
Also used : StringKeyConverter(org.apache.hadoop.yarn.server.timelineservice.storage.common.StringKeyConverter) TimelineMetric(org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric) EnumSet(java.util.EnumSet) Set(java.util.Set) NavigableSet(java.util.NavigableSet) HashSet(java.util.HashSet) Configuration(org.apache.hadoop.conf.Configuration) NavigableMap(java.util.NavigableMap) HashMap(java.util.HashMap) TimelineReaderContext(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext) Result(org.apache.hadoop.hbase.client.Result) ApplicationTable(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) HashSet(java.util.HashSet) Connection(org.apache.hadoop.hbase.client.Connection) TimelineEntity(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity) TimelineDataToRetrieve(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineDataToRetrieve) ApplicationEntity(org.apache.hadoop.yarn.api.records.timelineservice.ApplicationEntity) ApplicationRowKey(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey) Get(org.apache.hadoop.hbase.client.Get) Map(java.util.Map) NavigableMap(java.util.NavigableMap) HashMap(java.util.HashMap) Test(org.junit.Test)

Example 2 with ApplicationTable

use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable in project hadoop by apache.

the class TestHBaseTimelineStorageApps method testWriteNullApplicationToHBase.

@Test
public void testWriteNullApplicationToHBase() 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("in fo M apK  ey1", "infoMapValue1");
    infoMap.put("infoMapKey2", 10);
    entity.addInfo(infoMap);
    te.addEntity(entity);
    HBaseTimelineWriterImpl hbi = null;
    try {
        Configuration c1 = util.getConfiguration();
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        hbi.start();
        String cluster = "cluster_check_null_application";
        String user = "user1check_null_application";
        //set the flow name to null
        String flow = null;
        String flowVersion = "AB7822C10F1111";
        long runid = 1002345678919L;
        hbi.write(cluster, user, flow, flowVersion, runid, appId, te);
        hbi.stop();
        // retrieve the row
        Scan scan = new Scan();
        scan.setStartRow(Bytes.toBytes(cluster));
        scan.setStopRow(Bytes.toBytes(cluster + "1"));
        Connection conn = ConnectionFactory.createConnection(c1);
        ResultScanner resultScanner = new ApplicationTable().getResultScanner(c1, conn, scan);
        assertTrue(resultScanner != null);
        // try to iterate over results
        int count = 0;
        for (Result rr = resultScanner.next(); rr != null; rr = resultScanner.next()) {
            count++;
        }
        // there should be no rows written
        // no exceptions thrown during write
        assertEquals(0, count);
    } finally {
        if (hbi != null) {
            hbi.stop();
            hbi.close();
        }
    }
}
Also used : ResultScanner(org.apache.hadoop.hbase.client.ResultScanner) Configuration(org.apache.hadoop.conf.Configuration) HashMap(java.util.HashMap) Connection(org.apache.hadoop.hbase.client.Connection) Result(org.apache.hadoop.hbase.client.Result) ApplicationTable(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) ApplicationEntity(org.apache.hadoop.yarn.api.records.timelineservice.ApplicationEntity) Scan(org.apache.hadoop.hbase.client.Scan) Test(org.junit.Test)

Example 3 with ApplicationTable

use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable in project hadoop by apache.

the class TestHBaseTimelineStorageApps method testEvents.

@Test
public void testEvents() throws IOException {
    TimelineEvent event = new TimelineEvent();
    String eventId = ApplicationMetricsConstants.CREATED_EVENT_TYPE;
    event.setId(eventId);
    Long expTs = 1436512802000L;
    event.setTimestamp(expTs);
    String expKey = "foo_event";
    Object expVal = "test";
    event.addInfo(expKey, expVal);
    final TimelineEntity entity = new ApplicationEntity();
    entity.setId(ApplicationId.newInstance(0, 1).toString());
    entity.addEvent(event);
    TimelineEntities entities = new TimelineEntities();
    entities.addEntity(entity);
    HBaseTimelineWriterImpl hbi = null;
    try {
        Configuration c1 = util.getConfiguration();
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        hbi.start();
        String cluster = "cluster_test_events";
        String user = "user2";
        String flow = "other_flow_name";
        String flowVersion = "1111F01C2287BA";
        long runid = 1009876543218L;
        String appName = "application_123465899910_1001";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, entities);
        hbi.stop();
        // retrieve the row
        ApplicationRowKey applicationRowKey = new ApplicationRowKey(cluster, user, flow, runid, appName);
        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);
        // check the row key
        byte[] row1 = result.getRow();
        assertTrue(isApplicationRowKeyCorrect(row1, cluster, user, flow, runid, appName));
        Map<EventColumnName, Object> eventsResult = ApplicationColumnPrefix.EVENT.readResults(result, new EventColumnNameConverter());
        // there should be only one event
        assertEquals(1, eventsResult.size());
        for (Map.Entry<EventColumnName, Object> e : eventsResult.entrySet()) {
            EventColumnName eventColumnName = e.getKey();
            // the qualifier is a compound key
            // hence match individual values
            assertEquals(eventId, eventColumnName.getId());
            assertEquals(expTs, eventColumnName.getTimestamp());
            assertEquals(expKey, eventColumnName.getInfoKey());
            Object value = e.getValue();
            // there should be only one timestamp and value
            assertEquals(expVal, value.toString());
        }
        // read the timeline entity using the reader this time
        TimelineEntity e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appName, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.ALL), null));
        TimelineEntity e2 = reader.getEntity(new TimelineReaderContext(cluster, user, null, null, appName, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.ALL), null));
        assertNotNull(e1);
        assertNotNull(e2);
        assertEquals(e1, e2);
        // check the events
        NavigableSet<TimelineEvent> events = e1.getEvents();
        // there should be only one event
        assertEquals(1, events.size());
        for (TimelineEvent e : events) {
            assertEquals(eventId, e.getId());
            assertEquals(expTs, Long.valueOf(e.getTimestamp()));
            Map<String, Object> info = e.getInfo();
            assertEquals(1, info.size());
            for (Map.Entry<String, Object> infoEntry : info.entrySet()) {
                assertEquals(expKey, infoEntry.getKey());
                assertEquals(expVal, infoEntry.getValue());
            }
        }
    } finally {
        if (hbi != null) {
            hbi.stop();
            hbi.close();
        }
    }
}
Also used : TimelineEvent(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent) Configuration(org.apache.hadoop.conf.Configuration) TimelineReaderContext(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext) EventColumnName(org.apache.hadoop.yarn.server.timelineservice.storage.common.EventColumnName) Result(org.apache.hadoop.hbase.client.Result) ApplicationTable(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) Connection(org.apache.hadoop.hbase.client.Connection) EventColumnNameConverter(org.apache.hadoop.yarn.server.timelineservice.storage.common.EventColumnNameConverter) TimelineEntity(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity) TimelineDataToRetrieve(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineDataToRetrieve) ApplicationEntity(org.apache.hadoop.yarn.api.records.timelineservice.ApplicationEntity) ApplicationRowKey(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey) Get(org.apache.hadoop.hbase.client.Get) Map(java.util.Map) NavigableMap(java.util.NavigableMap) HashMap(java.util.HashMap) Test(org.junit.Test)

Example 4 with ApplicationTable

use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable in project hadoop by apache.

the class TimelineSchemaCreator method createAllTables.

@VisibleForTesting
public static void createAllTables(Configuration hbaseConf, boolean skipExisting) throws IOException {
    Connection conn = null;
    try {
        conn = ConnectionFactory.createConnection(hbaseConf);
        Admin admin = conn.getAdmin();
        if (admin == null) {
            throw new IOException("Cannot create table since admin is null");
        }
        try {
            new EntityTable().createTable(admin, hbaseConf);
        } catch (IOException e) {
            if (skipExisting) {
                LOG.warn("Skip and continue on: " + e.getMessage());
            } else {
                throw e;
            }
        }
        try {
            new AppToFlowTable().createTable(admin, hbaseConf);
        } catch (IOException e) {
            if (skipExisting) {
                LOG.warn("Skip and continue on: " + e.getMessage());
            } else {
                throw e;
            }
        }
        try {
            new ApplicationTable().createTable(admin, hbaseConf);
        } catch (IOException e) {
            if (skipExisting) {
                LOG.warn("Skip and continue on: " + e.getMessage());
            } else {
                throw e;
            }
        }
        try {
            new FlowRunTable().createTable(admin, hbaseConf);
        } catch (IOException e) {
            if (skipExisting) {
                LOG.warn("Skip and continue on: " + e.getMessage());
            } else {
                throw e;
            }
        }
        try {
            new FlowActivityTable().createTable(admin, hbaseConf);
        } catch (IOException e) {
            if (skipExisting) {
                LOG.warn("Skip and continue on: " + e.getMessage());
            } else {
                throw e;
            }
        }
    } finally {
        if (conn != null) {
            conn.close();
        }
    }
}
Also used : EntityTable(org.apache.hadoop.yarn.server.timelineservice.storage.entity.EntityTable) FlowActivityTable(org.apache.hadoop.yarn.server.timelineservice.storage.flow.FlowActivityTable) AppToFlowTable(org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowTable) ApplicationTable(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable) FlowRunTable(org.apache.hadoop.yarn.server.timelineservice.storage.flow.FlowRunTable) Connection(org.apache.hadoop.hbase.client.Connection) IOException(java.io.IOException) Admin(org.apache.hadoop.hbase.client.Admin) VisibleForTesting(com.google.common.annotations.VisibleForTesting)

Example 5 with ApplicationTable

use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable in project hadoop by apache.

the class HBaseTimelineWriterImpl method serviceInit.

/**
   * initializes the hbase connection to write to the entity table.
   */
@Override
protected void serviceInit(Configuration conf) throws Exception {
    super.serviceInit(conf);
    Configuration hbaseConf = HBaseConfiguration.create(conf);
    conn = ConnectionFactory.createConnection(hbaseConf);
    entityTable = new EntityTable().getTableMutator(hbaseConf, conn);
    appToFlowTable = new AppToFlowTable().getTableMutator(hbaseConf, conn);
    applicationTable = new ApplicationTable().getTableMutator(hbaseConf, conn);
    flowRunTable = new FlowRunTable().getTableMutator(hbaseConf, conn);
    flowActivityTable = new FlowActivityTable().getTableMutator(hbaseConf, conn);
}
Also used : EntityTable(org.apache.hadoop.yarn.server.timelineservice.storage.entity.EntityTable) FlowActivityTable(org.apache.hadoop.yarn.server.timelineservice.storage.flow.FlowActivityTable) AppToFlowTable(org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowTable) ApplicationTable(org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable) FlowRunTable(org.apache.hadoop.yarn.server.timelineservice.storage.flow.FlowRunTable) Configuration(org.apache.hadoop.conf.Configuration) HBaseConfiguration(org.apache.hadoop.hbase.HBaseConfiguration)

Aggregations

ApplicationTable (org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable)5 Configuration (org.apache.hadoop.conf.Configuration)4 Connection (org.apache.hadoop.hbase.client.Connection)4 HashMap (java.util.HashMap)3 Result (org.apache.hadoop.hbase.client.Result)3 ApplicationEntity (org.apache.hadoop.yarn.api.records.timelineservice.ApplicationEntity)3 TimelineEntities (org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities)3 Test (org.junit.Test)3 Map (java.util.Map)2 NavigableMap (java.util.NavigableMap)2 Get (org.apache.hadoop.hbase.client.Get)2 TimelineEntity (org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity)2 TimelineDataToRetrieve (org.apache.hadoop.yarn.server.timelineservice.reader.TimelineDataToRetrieve)2 TimelineReaderContext (org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext)2 ApplicationRowKey (org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey)2 AppToFlowTable (org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowTable)2 EntityTable (org.apache.hadoop.yarn.server.timelineservice.storage.entity.EntityTable)2 FlowActivityTable (org.apache.hadoop.yarn.server.timelineservice.storage.flow.FlowActivityTable)2 FlowRunTable (org.apache.hadoop.yarn.server.timelineservice.storage.flow.FlowRunTable)2 VisibleForTesting (com.google.common.annotations.VisibleForTesting)1