Examples with Stage org.apache.hadoop.hive.ql.parse.repl.metric.event.Stage used on opensource projects

Example 6 with Stage

use of org.apache.hadoop.hive.ql.parse.repl.metric.event.Stage in project hive by apache.

the class TestReplicationMetricSink method testSuccessBootstrapDumpMetrics.

@Test
public void testSuccessBootstrapDumpMetrics() throws Exception {
    ReplicationMetricCollector bootstrapDumpMetricCollector = new BootstrapDumpMetricCollector("testAcidTablesReplLoadBootstrapIncr_1592205875387", "hdfs://localhost:65158/tmp/org_apache_hadoop_hive_ql_parse_TestReplicationScenarios_245261428230295" + "/hrepl0/dGVzdGFjaWR0YWJsZXNyZXBsbG9hZGJvb3RzdHJhcGluY3JfMTU5MjIwNTg3NTM4Nw==/0/hive", conf);
    Map<String, Long> metricMap = new HashMap<>();
    metricMap.put(ReplUtils.MetricName.TABLES.name(), (long) 10);
    metricMap.put(ReplUtils.MetricName.FUNCTIONS.name(), (long) 1);
    bootstrapDumpMetricCollector.reportStageStart("dump", metricMap);
    bootstrapDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.TABLES.name(), 1);
    bootstrapDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.TABLES.name(), 2);
    bootstrapDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.FUNCTIONS.name(), 1);
    bootstrapDumpMetricCollector.reportStageEnd("dump", Status.SUCCESS, 10, new SnapshotUtils.ReplSnapshotCount(), new ReplStatsTracker(0));
    bootstrapDumpMetricCollector.reportEnd(Status.SUCCESS);
    Metadata expectedMetadata = new Metadata("testAcidTablesReplLoadBootstrapIncr_1592205875387", Metadata.ReplicationType.BOOTSTRAP, "dummyDir");
    expectedMetadata.setLastReplId(10);
    Progress expectedProgress = new Progress();
    expectedProgress.setStatus(Status.SUCCESS);
    Stage dumpStage = new Stage("dump", Status.SUCCESS, 0);
    dumpStage.setEndTime(0);
    Metric expectedTableMetric = new Metric(ReplUtils.MetricName.TABLES.name(), 10);
    expectedTableMetric.setCurrentCount(3);
    Metric expectedFuncMetric = new Metric(ReplUtils.MetricName.FUNCTIONS.name(), 1);
    expectedFuncMetric.setCurrentCount(1);
    dumpStage.addMetric(expectedTableMetric);
    dumpStage.addMetric(expectedFuncMetric);
    expectedProgress.addStage(dumpStage);
    ReplicationMetric expectedMetric = new ReplicationMetric(1, "repl", 0, expectedMetadata);
    expectedMetric.setProgress(expectedProgress);
    Thread.sleep(1000 * 20);
    GetReplicationMetricsRequest metricsRequest = new GetReplicationMetricsRequest();
    metricsRequest.setPolicy("repl");
    ReplicationMetricList actualReplicationMetrics = Hive.get(conf).getMSC().getReplicationMetrics(metricsRequest);
    ReplicationMetrics actualThriftMetric = actualReplicationMetrics.getReplicationMetricList().get(0);
    ObjectMapper mapper = new ObjectMapper();
    ReplicationMetric actualMetric = new ReplicationMetric(actualThriftMetric.getScheduledExecutionId(), actualThriftMetric.getPolicy(), actualThriftMetric.getDumpExecutionId(), mapper.readValue(actualThriftMetric.getMetadata(), Metadata.class));
    actualMetric.setMessageFormat(actualThriftMetric.getMessageFormat());
    ProgressMapper progressMapper = mapper.readValue(deSerialize(actualThriftMetric.getProgress()), ProgressMapper.class);
    Progress progress = new Progress();
    progress.setStatus(progressMapper.getStatus());
    for (StageMapper stageMapper : progressMapper.getStages()) {
        Stage stage = new Stage();
        stage.setName(stageMapper.getName());
        stage.setStatus(stageMapper.getStatus());
        stage.setStartTime(stageMapper.getStartTime());
        stage.setEndTime(stageMapper.getEndTime());
        for (Metric metric : stageMapper.getMetrics()) {
            stage.addMetric(metric);
        }
        progress.addStage(stage);
    }
    actualMetric.setProgress(progress);
    checkSuccess(actualMetric, expectedMetric, "dump", Arrays.asList(ReplUtils.MetricName.TABLES.name(), ReplUtils.MetricName.FUNCTIONS.name()));
    // Incremental
    conf.set(Constants.SCHEDULED_QUERY_EXECUTIONID, "2");
    ReplicationMetricCollector incrementDumpMetricCollector = new IncrementalDumpMetricCollector("testAcidTablesReplLoadBootstrapIncr_1592205875387", "hdfs://localhost:65158/tmp/org_apache_hadoop_hive_ql_parse_TestReplicationScenarios_245261428230295" + "/hrepl0/dGVzdGFjaWR0YWJsZXNyZXBsbG9hZGJvb3RzdHJhcGluY3JfMTU5MjIwNTg3NTM4Nw==/0/hive", conf);
    metricMap = new HashMap<>();
    metricMap.put(ReplUtils.MetricName.EVENTS.name(), (long) 10);
    incrementDumpMetricCollector.reportStageStart("dump", metricMap);
    incrementDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.EVENTS.name(), 10);
    incrementDumpMetricCollector.reportStageEnd("dump", Status.SUCCESS, 10, new SnapshotUtils.ReplSnapshotCount(), new ReplStatsTracker(0));
    incrementDumpMetricCollector.reportEnd(Status.SUCCESS);
    expectedMetadata = new Metadata("testAcidTablesReplLoadBootstrapIncr_1592205875387", Metadata.ReplicationType.INCREMENTAL, "dummyDir");
    expectedMetadata.setLastReplId(10);
    expectedProgress = new Progress();
    expectedProgress.setStatus(Status.SUCCESS);
    dumpStage = new Stage("dump", Status.SUCCESS, 0);
    dumpStage.setEndTime(0);
    Metric expectedEventsMetric = new Metric(ReplUtils.MetricName.EVENTS.name(), 10);
    expectedEventsMetric.setCurrentCount(10);
    dumpStage.addMetric(expectedEventsMetric);
    expectedProgress.addStage(dumpStage);
    expectedMetric = new ReplicationMetric(2, "repl", 0, expectedMetadata);
    expectedMetric.setProgress(expectedProgress);
    Thread.sleep(1000 * 20);
    metricsRequest = new GetReplicationMetricsRequest();
    metricsRequest.setPolicy("repl");
    actualReplicationMetrics = Hive.get(conf).getMSC().getReplicationMetrics(metricsRequest);
    Assert.assertEquals(2, actualReplicationMetrics.getReplicationMetricListSize());
    actualThriftMetric = actualReplicationMetrics.getReplicationMetricList().get(0);
    mapper = new ObjectMapper();
    actualMetric = new ReplicationMetric(actualThriftMetric.getScheduledExecutionId(), actualThriftMetric.getPolicy(), actualThriftMetric.getDumpExecutionId(), mapper.readValue(actualThriftMetric.getMetadata(), Metadata.class));
    actualMetric.setMessageFormat(actualThriftMetric.getMessageFormat());
    progressMapper = mapper.readValue(deSerialize(actualThriftMetric.getProgress()), ProgressMapper.class);
    progress = new Progress();
    progress.setStatus(progressMapper.getStatus());
    for (StageMapper stageMapper : progressMapper.getStages()) {
        Stage stage = new Stage();
        stage.setName(stageMapper.getName());
        stage.setStatus(stageMapper.getStatus());
        stage.setStartTime(stageMapper.getStartTime());
        stage.setEndTime(stageMapper.getEndTime());
        for (Metric metric : stageMapper.getMetrics()) {
            stage.addMetric(metric);
        }
        progress.addStage(stage);
    }
    actualMetric.setProgress(progress);
    checkSuccessIncremental(actualMetric, expectedMetric, "dump", Arrays.asList(ReplUtils.MetricName.EVENTS.name()));
    // Failover Metrics Sink
    Mockito.when(fmd.getFailoverEventId()).thenReturn(100L);
    Mockito.when(fmd.getFilePath()).thenReturn("hdfs://localhost:65158/tmp/org_apache_hadoop_hive_ql_parse_TestReplicationScenarios_245261428230295" + "/hrepl0/dGVzdGFjaWR0YWJsZXNyZXBsbG9hZGJvb3RzdHJhcGluY3JfMTU5MjIwNTg3NTM4Nw==/0/hive/");
    conf.set(Constants.SCHEDULED_QUERY_EXECUTIONID, "3");
    String stagingDir = "hdfs://localhost:65158/tmp/org_apache_hadoop_hive_ql_parse_TestReplicationScenarios_245261428230295" + "/hrepl0/dGVzdGFjaWR0YWJsZXNyZXBsbG9hZGJvb3RzdHJhcGluY3JfMTU5MjIwNTg3NTM4Nw==/0/hive/";
    ReplicationMetricCollector failoverDumpMetricCollector = new IncrementalDumpMetricCollector("testAcidTablesReplLoadBootstrapIncr_1592205875387", stagingDir, conf);
    metricMap = new HashMap<String, Long>() {

        {
            put(ReplUtils.MetricName.EVENTS.name(), (long) 10);
        }
    };
    failoverDumpMetricCollector.reportFailoverStart("dump", metricMap, fmd);
    failoverDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.EVENTS.name(), 10);
    failoverDumpMetricCollector.reportStageEnd("dump", Status.SUCCESS, 10, new SnapshotUtils.ReplSnapshotCount(), new ReplStatsTracker(0));
    failoverDumpMetricCollector.reportEnd(Status.FAILOVER_READY);
    expectedMetadata = new Metadata("testAcidTablesReplLoadBootstrapIncr_1592205875387", Metadata.ReplicationType.INCREMENTAL, "dummyDir");
    expectedMetadata.setLastReplId(10);
    expectedMetadata.setFailoverEventId(100);
    expectedMetadata.setFailoverMetadataLoc(stagingDir + FailoverMetaData.FAILOVER_METADATA);
    expectedProgress = new Progress();
    expectedProgress.setStatus(Status.FAILOVER_READY);
    dumpStage = new Stage("dump", Status.SUCCESS, 0);
    dumpStage.setEndTime(0);
    expectedEventsMetric = new Metric(ReplUtils.MetricName.EVENTS.name(), 10);
    expectedEventsMetric.setCurrentCount(10);
    dumpStage.addMetric(expectedEventsMetric);
    expectedProgress.addStage(dumpStage);
    expectedMetric = new ReplicationMetric(3, "repl", 0, expectedMetadata);
    expectedMetric.setProgress(expectedProgress);
    Thread.sleep(1000 * 20);
    metricsRequest = new GetReplicationMetricsRequest();
    metricsRequest.setPolicy("repl");
    actualReplicationMetrics = Hive.get(conf).getMSC().getReplicationMetrics(metricsRequest);
    Assert.assertEquals(3, actualReplicationMetrics.getReplicationMetricListSize());
    actualThriftMetric = actualReplicationMetrics.getReplicationMetricList().get(0);
    mapper = new ObjectMapper();
    actualMetric = new ReplicationMetric(actualThriftMetric.getScheduledExecutionId(), actualThriftMetric.getPolicy(), actualThriftMetric.getDumpExecutionId(), mapper.readValue(actualThriftMetric.getMetadata(), Metadata.class));
    actualMetric.setMessageFormat(actualThriftMetric.getMessageFormat());
    progressMapper = mapper.readValue(deSerialize(actualThriftMetric.getProgress()), ProgressMapper.class);
    progress = new Progress();
    progress.setStatus(progressMapper.getStatus());
    for (StageMapper stageMapper : progressMapper.getStages()) {
        Stage stage = new Stage();
        stage.setName(stageMapper.getName());
        stage.setStatus(stageMapper.getStatus());
        stage.setStartTime(stageMapper.getStartTime());
        stage.setEndTime(stageMapper.getEndTime());
        for (Metric metric : stageMapper.getMetrics()) {
            stage.addMetric(metric);
        }
        progress.addStage(stage);
    }
    actualMetric.setProgress(progress);
    checkSuccessIncremental(actualMetric, expectedMetric, "dump", Arrays.asList(ReplUtils.MetricName.EVENTS.name()));
}

Example 7 with Stage

use of org.apache.hadoop.hive.ql.parse.repl.metric.event.Stage in project hive by apache.

the class TestReplicationMetricCollector method testSuccessIncrDumpMetrics.

@Test
public void testSuccessIncrDumpMetrics() throws Exception {
    ReplicationMetricCollector incrDumpMetricCollector = new IncrementalDumpMetricCollector("db", "dummyDir", conf);
    Map<String, Long> metricMap = new HashMap<>();
    metricMap.put(ReplUtils.MetricName.TABLES.name(), (long) 10);
    metricMap.put(ReplUtils.MetricName.FUNCTIONS.name(), (long) 1);
    incrDumpMetricCollector.reportStageStart("dump", metricMap);
    incrDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.TABLES.name(), 1);
    List<ReplicationMetric> actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    incrDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.TABLES.name(), 2);
    incrDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.FUNCTIONS.name(), 1);
    actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    incrDumpMetricCollector.reportStageEnd("dump", Status.SUCCESS, 10, new SnapshotUtils.ReplSnapshotCount(), new ReplStatsTracker(0));
    incrDumpMetricCollector.reportEnd(Status.SUCCESS);
    actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    Metadata expectedMetadata = new Metadata("db", Metadata.ReplicationType.INCREMENTAL, "dummyDir");
    expectedMetadata.setLastReplId(10);
    Progress expectedProgress = new Progress();
    expectedProgress.setStatus(Status.SUCCESS);
    Stage dumpStage = new Stage("dump", Status.SUCCESS, 0);
    dumpStage.setEndTime(0);
    Metric expectedTableMetric = new Metric(ReplUtils.MetricName.TABLES.name(), 10);
    expectedTableMetric.setCurrentCount(3);
    Metric expectedFuncMetric = new Metric(ReplUtils.MetricName.FUNCTIONS.name(), 1);
    expectedFuncMetric.setCurrentCount(1);
    dumpStage.addMetric(expectedTableMetric);
    dumpStage.addMetric(expectedFuncMetric);
    expectedProgress.addStage(dumpStage);
    ReplicationMetric expectedMetric = new ReplicationMetric(1, "repl", 0, expectedMetadata);
    expectedMetric.setProgress(expectedProgress);
    checkSuccess(actualMetrics.get(0), expectedMetric, "dump", Arrays.asList(ReplUtils.MetricName.TABLES.name(), ReplUtils.MetricName.FUNCTIONS.name()));
}

Example 8 with Stage

use of org.apache.hadoop.hive.ql.parse.repl.metric.event.Stage in project hive by apache.

the class TestReplicationMetricCollector method testSuccessBootstrapLoadMetrics.

@Test
public void testSuccessBootstrapLoadMetrics() throws Exception {
    ReplicationMetricCollector bootstrapLoadMetricCollector = new BootstrapLoadMetricCollector("db", "dummyDir", 1, conf);
    Map<String, Long> metricMap = new HashMap<>();
    metricMap.put(ReplUtils.MetricName.TABLES.name(), (long) 10);
    metricMap.put(ReplUtils.MetricName.FUNCTIONS.name(), (long) 1);
    bootstrapLoadMetricCollector.reportStageStart("dump", metricMap);
    bootstrapLoadMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.TABLES.name(), 1);
    List<ReplicationMetric> actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    bootstrapLoadMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.TABLES.name(), 2);
    bootstrapLoadMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.FUNCTIONS.name(), 1);
    actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    bootstrapLoadMetricCollector.reportStageEnd("dump", Status.SUCCESS, 10, new SnapshotUtils.ReplSnapshotCount(), new ReplStatsTracker(0));
    bootstrapLoadMetricCollector.reportEnd(Status.SUCCESS);
    actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    Metadata expectedMetadata = new Metadata("db", Metadata.ReplicationType.BOOTSTRAP, "dummyDir");
    expectedMetadata.setLastReplId(10);
    Progress expectedProgress = new Progress();
    expectedProgress.setStatus(Status.SUCCESS);
    Stage dumpStage = new Stage("dump", Status.SUCCESS, 0);
    dumpStage.setEndTime(0);
    Metric expectedTableMetric = new Metric(ReplUtils.MetricName.TABLES.name(), 10);
    expectedTableMetric.setCurrentCount(3);
    Metric expectedFuncMetric = new Metric(ReplUtils.MetricName.FUNCTIONS.name(), 1);
    expectedFuncMetric.setCurrentCount(1);
    dumpStage.addMetric(expectedTableMetric);
    dumpStage.addMetric(expectedFuncMetric);
    expectedProgress.addStage(dumpStage);
    ReplicationMetric expectedMetric = new ReplicationMetric(1, "repl", 1, expectedMetadata);
    expectedMetric.setProgress(expectedProgress);
    checkSuccess(actualMetrics.get(0), expectedMetric, "dump", Arrays.asList(ReplUtils.MetricName.TABLES.name(), ReplUtils.MetricName.FUNCTIONS.name()));
}

Example 9 with Stage

use of org.apache.hadoop.hive.ql.parse.repl.metric.event.Stage in project hive by apache.

the class TestReplicationMetricCollector method testFailoverReadyDumpMetrics.

@Test
public void testFailoverReadyDumpMetrics() throws Exception {
    ReplicationMetricCollector incrDumpMetricCollector = new IncrementalDumpMetricCollector("db", "dummyDir", conf);
    Map<String, Long> metricMap = new HashMap<>();
    metricMap.put(ReplUtils.MetricName.EVENTS.name(), (long) 10);
    incrDumpMetricCollector.reportFailoverStart("dump", metricMap, fmd);
    incrDumpMetricCollector.reportStageProgress("dump", ReplUtils.MetricName.EVENTS.name(), 2);
    List<ReplicationMetric> actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    incrDumpMetricCollector.reportStageEnd("dump", Status.SUCCESS, 10, new SnapshotUtils.ReplSnapshotCount(), new ReplStatsTracker(0));
    incrDumpMetricCollector.reportEnd(Status.FAILOVER_READY);
    actualMetrics = MetricCollector.getInstance().getMetrics();
    Assert.assertEquals(1, actualMetrics.size());
    Metadata expectedMetadata = new Metadata("db", Metadata.ReplicationType.INCREMENTAL, "dummyDir");
    expectedMetadata.setLastReplId(10);
    expectedMetadata.setFailoverEventId(10);
    expectedMetadata.setFailoverMetadataLoc("dummyDir");
    Progress expectedProgress = new Progress();
    expectedProgress.setStatus(Status.FAILOVER_READY);
    Stage dumpStage = new Stage("dump", Status.SUCCESS, 0);
    dumpStage.setEndTime(0);
    Metric expectedEventMetric = new Metric(ReplUtils.MetricName.EVENTS.name(), 10);
    expectedEventMetric.setCurrentCount(2);
    dumpStage.addMetric(expectedEventMetric);
    expectedProgress.addStage(dumpStage);
    ReplicationMetric expectedMetric = new ReplicationMetric(1, "repl", 0, expectedMetadata);
    expectedMetric.setProgress(expectedProgress);
    checkSuccess(actualMetrics.get(0), expectedMetric, "dump", Arrays.asList(ReplUtils.MetricName.EVENTS.name()));
}

Example 10 with Stage

use of org.apache.hadoop.hive.ql.parse.repl.metric.event.Stage in project hive by apache.

the class TestReplicationScenarios method testIncrementalStatisticsMetrics.

@Test
public void testIncrementalStatisticsMetrics() throws Throwable {
    isMetricsEnabledForTests(true);
    ReplLoadWork.setMbeansParamsForTesting(true, false);
    MetricCollector collector = MetricCollector.getInstance();
    String testName = "testIncrementalStatisticsMetrics";
    String dbName = createDB(testName, driver);
    String replDbName = dbName + "_dupe";
    String nameStri = "Hadoop:" + "service=HiveServer2" + "," + "name=" + "Database-" + replDbName + " Policy-pol";
    // Do a bootstrap dump & load
    Tuple bootstrapDump = bootstrapLoadAndVerify(dbName, replDbName);
    ReplLoadWork.setMbeansParamsForTesting(true, true);
    // 10 create table
    for (int i = 0; i < 10; i++) {
        run("CREATE TABLE " + dbName + ".ptned" + i + "(a string) partitioned by (b int) STORED AS TEXTFILE", driver);
        for (int j = 0; j < 5; j++) {
            // Create 5 partitoins per table.
            run("ALTER TABLE " + dbName + ".ptned" + i + " ADD PARTITION(b=" + j + ")", driver);
        }
    }
    verifyRun("SHOW PARTITIONS " + dbName + ".ptned1", new String[] { "b=0", "b=1", "b=2", "b=3", "b=4" }, driver);
    // Do an incremental load & verify the metrics.
    Tuple incrementalDump = incrementalLoadAndVerify(dbName, replDbName);
    String[] events = new String[] { "[[Event Name: EVENT_CREATE_TABLE; " + "Total Number: 10;", "[[Event Name: EVENT_ADD_PARTITION; Total Number: 50;" };
    Iterator<ReplicationMetric> itr = collector.getMetrics().iterator();
    while (itr.hasNext()) {
        ReplicationMetric elem = itr.next();
        assertEquals(Metadata.ReplicationType.INCREMENTAL, elem.getMetadata().getReplicationType());
        List<Stage> stages = elem.getProgress().getStages();
        assertTrue(stages.size() != 0);
        for (Stage stage : stages) {
            for (String event : events) {
                assertTrue(stage.getReplStats(), stage.getReplStats().contains(event));
            }
        }
    }
    verifyMBeanStatistics(testName, replDbName, nameStri, events, incrementalDump);
    // Do some drop table/drop partition & rename table operations.
    for (int i = 0; i < 3; i++) {
        // Drop 3 tables
        run("DROP TABLE " + dbName + ".ptned" + i, driver);
    }
    for (int i = 3; i < 6; i++) {
        // Rename 3 tables
        run("ALTER TABLE " + dbName + ".ptned" + i + " RENAME TO " + dbName + ".ptned" + i + "_renamed", driver);
    }
    for (int i = 6; i < 10; i++) {
        // Drop partitions from 4 tables
        run("ALTER TABLE " + dbName + ".ptned" + i + " DROP PARTITION(b=1)", driver);
    }
    for (int i = 10; i < 12; i++) {
        // Create 2 tables
        run("CREATE TABLE " + dbName + ".ptned" + i + "(a string) partitioned by (b int) STORED AS TEXTFILE", driver);
    }
    incrementalDump = incrementalLoadAndVerify(dbName, replDbName);
    events = new String[] { "[[Event Name: EVENT_CREATE_TABLE; " + "Total Number: 2;", "[[Event Name: EVENT_DROP_TABLE; " + "Total Number: 3;", "[[Event Name: EVENT_RENAME_TABLE; " + "Total Number: 3;", "[[Event Name: EVENT_DROP_PARTITION; Total Number: 4;" };
    itr = collector.getMetrics().iterator();
    while (itr.hasNext()) {
        ReplicationMetric elem = itr.next();
        assertEquals(Metadata.ReplicationType.INCREMENTAL, elem.getMetadata().getReplicationType());
        List<Stage> stages = elem.getProgress().getStages();
        assertTrue(stages.size() != 0);
        for (Stage stage : stages) {
            for (String event : events) {
                assertTrue(stage.getReplStats(), stage.getReplStats().contains(event));
            }
        }
    }
    verifyMBeanStatistics(testName, replDbName, nameStri, events, incrementalDump);
    // Clean up the test setup.
    ReplLoadWork.setMbeansParamsForTesting(false, false);
    MBeans.unregister(ObjectName.getInstance(nameStri));
}