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Example 86 with TimelineEntity

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

the class TestHBaseStorageFlowRun method testFilterFlowRunsByCreatedTime.

@Test
public void testFilterFlowRunsByCreatedTime() throws Exception {
    String cluster = "cluster2";
    String user = "user2";
    String flow = "flow_name2";
    TimelineEntities te = new TimelineEntities();
    TimelineEntity entityApp1 = TestFlowDataGenerator.getEntityMetricsApp1(System.currentTimeMillis());
    entityApp1.setCreatedTime(1425016501000L);
    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());
        entityApp2.setCreatedTime(1425016502000L);
        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();
        Set<TimelineEntity> entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, 1425016501000L, 1425016502001L, null, null, null, null, null, null), new TimelineDataToRetrieve());
        assertEquals(2, entities.size());
        for (TimelineEntity entity : entities) {
            if (!entity.getId().equals("user2@flow_name2/1002345678918") && !entity.getId().equals("user2@flow_name2/1002345678919")) {
                fail("Entities with flow runs 1002345678918 and 1002345678919" + "should be present.");
            }
        }
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, 1425016501050L, null, null, null, null, null, null, null), new TimelineDataToRetrieve());
        assertEquals(1, entities.size());
        for (TimelineEntity entity : entities) {
            if (!entity.getId().equals("user2@flow_name2/1002345678918")) {
                fail("Entity with flow run 1002345678918 should be present.");
            }
        }
        entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, null, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(null, null, 1425016501050L, null, null, null, null, null, null), new TimelineDataToRetrieve());
        assertEquals(1, entities.size());
        for (TimelineEntity entity : entities) {
            if (!entity.getId().equals("user2@flow_name2/1002345678919")) {
                fail("Entity with flow run 1002345678919 should be present.");
            }
        }
    } finally {
        if (hbr != null) {
            hbr.close();
        }
    }
}
Also used : HBaseTimelineReaderImpl(org.apache.hadoop.yarn.server.timelineservice.storage.HBaseTimelineReaderImpl) Configuration(org.apache.hadoop.conf.Configuration) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) TimelineReaderContext(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext) TimelineEntityFilters(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineEntityFilters) TimelineEntity(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity) TimelineDataToRetrieve(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineDataToRetrieve) HBaseTimelineWriterImpl(org.apache.hadoop.yarn.server.timelineservice.storage.HBaseTimelineWriterImpl) Test(org.junit.Test)

Example 87 with TimelineEntity

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

the class TestHBaseStorageFlowRun method testWriteFlowRunFlush.

@Test
public void testWriteFlowRunFlush() throws Exception {
    String cluster = "atestFlushFlowRun_cluster1";
    String user = "atestFlushFlowRun__user1";
    String flow = "atestFlushFlowRun_flow_name";
    String flowVersion = "AF1021C19F1351";
    long runid = 1449526652000L;
    int start = 10;
    int count = 20000;
    int appIdSuffix = 1;
    HBaseTimelineWriterImpl hbi = null;
    long insertTs = 1449796654827L - count;
    long minTS = insertTs + 1;
    long startTs = insertTs;
    Configuration c1 = util.getConfiguration();
    TimelineEntities te1 = null;
    TimelineEntity entityApp1 = null;
    TimelineEntity entityApp2 = null;
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        for (int i = start; i < count; i++) {
            String appName = "application_1060350000000_" + appIdSuffix;
            insertTs++;
            te1 = new TimelineEntities();
            entityApp1 = TestFlowDataGenerator.getMinFlushEntity(insertTs);
            te1.addEntity(entityApp1);
            entityApp2 = TestFlowDataGenerator.getMaxFlushEntity(insertTs);
            te1.addEntity(entityApp2);
            hbi.write(cluster, user, flow, flowVersion, runid, appName, te1);
            Thread.sleep(1);
            appName = "application_1001199480000_7" + appIdSuffix;
            insertTs++;
            appIdSuffix++;
            te1 = new TimelineEntities();
            entityApp1 = TestFlowDataGenerator.getMinFlushEntity(insertTs);
            te1.addEntity(entityApp1);
            entityApp2 = TestFlowDataGenerator.getMaxFlushEntity(insertTs);
            te1.addEntity(entityApp2);
            hbi.write(cluster, user, flow, flowVersion, runid, appName, te1);
            if (i % 1000 == 0) {
                hbi.flush();
                checkMinMaxFlush(c1, minTS, startTs, count, cluster, user, flow, runid, false);
            }
        }
    } finally {
        if (hbi != null) {
            hbi.flush();
            hbi.close();
        }
        checkMinMaxFlush(c1, minTS, startTs, count, cluster, user, flow, runid, true);
    }
}
Also used : Configuration(org.apache.hadoop.conf.Configuration) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) TimelineEntity(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity) HBaseTimelineWriterImpl(org.apache.hadoop.yarn.server.timelineservice.storage.HBaseTimelineWriterImpl) Test(org.junit.Test)

Example 88 with TimelineEntity

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

the class TestHBaseStorageFlowRun method testWriteFlowRunMinMax.

/**
   * Writes 4 timeline entities belonging to one flow run through the
   * {@link HBaseTimelineWriterImpl}
   *
   * Checks the flow run table contents
   *
   * The first entity has a created event, metrics and a finish event.
   *
   * The second entity has a created event and this is the entity with smallest
   * start time. This should be the start time for the flow run.
   *
   * The third entity has a finish event and this is the entity with the max end
   * time. This should be the end time for the flow run.
   *
   * The fourth entity has a created event which has a start time that is
   * greater than min start time.
   *
   */
@Test
public void testWriteFlowRunMinMax() throws Exception {
    TimelineEntities te = new TimelineEntities();
    te.addEntity(TestFlowDataGenerator.getEntity1());
    HBaseTimelineWriterImpl hbi = null;
    Configuration c1 = util.getConfiguration();
    String cluster = "testWriteFlowRunMinMaxToHBase_cluster1";
    String user = "testWriteFlowRunMinMaxToHBase_user1";
    String flow = "testing_flowRun_flow_name";
    String flowVersion = "CF7022C10F1354";
    long runid = 1002345678919L;
    String appName = "application_100000000000_1111";
    long minStartTs = 1425026900000L;
    long greaterStartTs = 30000000000000L;
    long endTs = 1439750690000L;
    TimelineEntity entityMinStartTime = TestFlowDataGenerator.getEntityMinStartTime(minStartTs);
    try {
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        // write another entity with the right min start time
        te = new TimelineEntities();
        te.addEntity(entityMinStartTime);
        appName = "application_100000000000_3333";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        // writer another entity for max end time
        TimelineEntity entityMaxEndTime = TestFlowDataGenerator.getEntityMaxEndTime(endTs);
        te = new TimelineEntities();
        te.addEntity(entityMaxEndTime);
        appName = "application_100000000000_4444";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        // writer another entity with greater start time
        TimelineEntity entityGreaterStartTime = TestFlowDataGenerator.getEntityGreaterStartTime(greaterStartTs);
        te = new TimelineEntities();
        te.addEntity(entityGreaterStartTime);
        appName = "application_1000000000000000_2222";
        hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
        // flush everything to hbase
        hbi.flush();
    } finally {
        if (hbi != null) {
            hbi.close();
        }
    }
    Connection conn = ConnectionFactory.createConnection(c1);
    // check in flow run table
    Table table1 = conn.getTable(TableName.valueOf(FlowRunTable.DEFAULT_TABLE_NAME));
    // scan the table and see that we get back the right min and max
    // timestamps
    byte[] startRow = new FlowRunRowKey(cluster, user, flow, runid).getRowKey();
    Get g = new Get(startRow);
    g.addColumn(FlowRunColumnFamily.INFO.getBytes(), FlowRunColumn.MIN_START_TIME.getColumnQualifierBytes());
    g.addColumn(FlowRunColumnFamily.INFO.getBytes(), FlowRunColumn.MAX_END_TIME.getColumnQualifierBytes());
    Result r1 = table1.get(g);
    assertNotNull(r1);
    assertTrue(!r1.isEmpty());
    Map<byte[], byte[]> values = r1.getFamilyMap(FlowRunColumnFamily.INFO.getBytes());
    assertEquals(2, r1.size());
    long starttime = Bytes.toLong(values.get(FlowRunColumn.MIN_START_TIME.getColumnQualifierBytes()));
    assertEquals(minStartTs, starttime);
    assertEquals(endTs, Bytes.toLong(values.get(FlowRunColumn.MAX_END_TIME.getColumnQualifierBytes())));
    // use the timeline reader to verify data
    HBaseTimelineReaderImpl hbr = null;
    try {
        hbr = new HBaseTimelineReaderImpl();
        hbr.init(c1);
        hbr.start();
        // get the flow run entity
        TimelineEntity entity = hbr.getEntity(new TimelineReaderContext(cluster, user, flow, runid, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineDataToRetrieve());
        assertTrue(TimelineEntityType.YARN_FLOW_RUN.matches(entity.getType()));
        FlowRunEntity flowRun = (FlowRunEntity) entity;
        assertEquals(minStartTs, flowRun.getStartTime());
        assertEquals(endTs, flowRun.getMaxEndTime());
    } finally {
        if (hbr != null) {
            hbr.close();
        }
    }
}
Also used : EntityTable(org.apache.hadoop.yarn.server.timelineservice.storage.entity.EntityTable) Table(org.apache.hadoop.hbase.client.Table) Configuration(org.apache.hadoop.conf.Configuration) TimelineReaderContext(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext) 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) HBaseTimelineWriterImpl(org.apache.hadoop.yarn.server.timelineservice.storage.HBaseTimelineWriterImpl) Result(org.apache.hadoop.hbase.client.Result) HBaseTimelineReaderImpl(org.apache.hadoop.yarn.server.timelineservice.storage.HBaseTimelineReaderImpl) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) Get(org.apache.hadoop.hbase.client.Get) FlowRunEntity(org.apache.hadoop.yarn.api.records.timelineservice.FlowRunEntity) Test(org.junit.Test)

Example 89 with TimelineEntity

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

the class TestHBaseTimelineStorageApps method testFilterAppsByCreatedTime.

@Test
public void testFilterAppsByCreatedTime() throws Exception {
    Set<TimelineEntity> entities = reader.getEntities(new TimelineReaderContext("cluster1", "user1", "some_flow_name", 1002345678919L, null, TimelineEntityType.YARN_APPLICATION.toString(), null), new TimelineEntityFilters(null, 1425016502000L, 1425016502040L, null, null, null, null, null, null), new TimelineDataToRetrieve());
    assertEquals(3, entities.size());
    for (TimelineEntity entity : entities) {
        if (!entity.getId().equals("application_1111111111_2222") && !entity.getId().equals("application_1111111111_3333") && !entity.getId().equals("application_1111111111_4444")) {
            Assert.fail("Entities with ids' application_1111111111_2222, " + "application_1111111111_3333 and application_1111111111_4444" + " should be present");
        }
    }
    entities = reader.getEntities(new TimelineReaderContext("cluster1", "user1", "some_flow_name", 1002345678919L, null, TimelineEntityType.YARN_APPLICATION.toString(), null), new TimelineEntityFilters(null, 1425016502015L, null, null, null, null, null, null, null), new TimelineDataToRetrieve());
    assertEquals(2, entities.size());
    for (TimelineEntity entity : entities) {
        if (!entity.getId().equals("application_1111111111_3333") && !entity.getId().equals("application_1111111111_4444")) {
            Assert.fail("Apps with ids' application_1111111111_3333 and" + " application_1111111111_4444 should be present");
        }
    }
    entities = reader.getEntities(new TimelineReaderContext("cluster1", "user1", "some_flow_name", 1002345678919L, null, TimelineEntityType.YARN_APPLICATION.toString(), null), new TimelineEntityFilters(null, null, 1425016502015L, null, null, null, null, null, null), new TimelineDataToRetrieve());
    assertEquals(1, entities.size());
    for (TimelineEntity entity : entities) {
        if (!entity.getId().equals("application_1111111111_2222")) {
            Assert.fail("App with id application_1111111111_2222 should" + " be present");
        }
    }
}
Also used : TimelineReaderContext(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext) TimelineEntityFilters(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineEntityFilters) TimelineEntity(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity) TimelineDataToRetrieve(org.apache.hadoop.yarn.server.timelineservice.reader.TimelineDataToRetrieve) Test(org.junit.Test)

Example 90 with TimelineEntity

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

the class TestHBaseTimelineStorageApps method testNonIntegralMetricValues.

@Test
public void testNonIntegralMetricValues() throws IOException {
    TimelineEntities teApp = new TimelineEntities();
    ApplicationEntity entityApp = new ApplicationEntity();
    String appId = "application_1000178881110_2002";
    entityApp.setId(appId);
    entityApp.setCreatedTime(1425016501000L);
    // add metrics with floating point values
    Set<TimelineMetric> metricsApp = new HashSet<>();
    TimelineMetric mApp = new TimelineMetric();
    mApp.setId("MAP_SLOT_MILLIS");
    Map<Long, Number> metricAppValues = new HashMap<Long, Number>();
    long ts = System.currentTimeMillis();
    metricAppValues.put(ts - 20, 10.5);
    metricAppValues.put(ts - 10, 20.5);
    mApp.setType(Type.TIME_SERIES);
    mApp.setValues(metricAppValues);
    metricsApp.add(mApp);
    entityApp.addMetrics(metricsApp);
    teApp.addEntity(entityApp);
    TimelineEntities teEntity = new TimelineEntities();
    TimelineEntity entity = new TimelineEntity();
    entity.setId("hello");
    entity.setType("world");
    entity.setCreatedTime(1425016501000L);
    // add metrics with floating point values
    Set<TimelineMetric> metricsEntity = new HashSet<>();
    TimelineMetric mEntity = new TimelineMetric();
    mEntity.setId("MAP_SLOT_MILLIS");
    mEntity.addValue(ts - 20, 10.5);
    metricsEntity.add(mEntity);
    entity.addMetrics(metricsEntity);
    teEntity.addEntity(entity);
    HBaseTimelineWriterImpl hbi = null;
    try {
        Configuration c1 = util.getConfiguration();
        hbi = new HBaseTimelineWriterImpl();
        hbi.init(c1);
        hbi.start();
        // Writing application entity.
        try {
            hbi.write("c1", "u1", "f1", "v1", 1002345678919L, appId, teApp);
            Assert.fail("Expected an exception as metric values are non integral");
        } catch (IOException e) {
        }
        // Writing generic entity.
        try {
            hbi.write("c1", "u1", "f1", "v1", 1002345678919L, appId, teEntity);
            Assert.fail("Expected an exception as metric values are non integral");
        } catch (IOException e) {
        }
        hbi.stop();
    } finally {
        if (hbi != null) {
            hbi.stop();
            hbi.close();
        }
    }
}
Also used : TimelineMetric(org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric) Configuration(org.apache.hadoop.conf.Configuration) HashMap(java.util.HashMap) IOException(java.io.IOException) TimelineEntity(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity) TimelineEntities(org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities) ApplicationEntity(org.apache.hadoop.yarn.api.records.timelineservice.ApplicationEntity) HashSet(java.util.HashSet) Test(org.junit.Test)

Aggregations

TimelineEntity (org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity)155 Test (org.junit.Test)98 TimelineDataToRetrieve (org.apache.hadoop.yarn.server.timelineservice.reader.TimelineDataToRetrieve)54 TimelineReaderContext (org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext)54 TimelineEntityFilters (org.apache.hadoop.yarn.server.timelineservice.reader.TimelineEntityFilters)46 HashSet (java.util.HashSet)37 Client (com.sun.jersey.api.client.Client)36 ClientResponse (com.sun.jersey.api.client.ClientResponse)36 URI (java.net.URI)36 TimelineMetric (org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric)33 Set (java.util.Set)32 TimelineEntities (org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities)27 TimelineEvent (org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent)26 TimelineFilterList (org.apache.hadoop.yarn.server.timelineservice.reader.filter.TimelineFilterList)26 HashMap (java.util.HashMap)23 Configuration (org.apache.hadoop.conf.Configuration)21 GenericType (com.sun.jersey.api.client.GenericType)14 HBaseTimelineWriterImpl (org.apache.hadoop.yarn.server.timelineservice.storage.HBaseTimelineWriterImpl)12 TimelinePrefixFilter (org.apache.hadoop.yarn.server.timelineservice.reader.filter.TimelinePrefixFilter)10 UserGroupInformation (org.apache.hadoop.security.UserGroupInformation)9