Examples with DruidMonitorSchedulerConfig org.apache.druid.server.metrics.DruidMonitorSchedulerConfig used on opensource projects

Example 16 with DruidMonitorSchedulerConfig

use of org.apache.druid.server.metrics.DruidMonitorSchedulerConfig in project druid by apache.

the class KafkaSupervisorTest method testNoInitialStateWithAutoscaler.

@Test
public void testNoInitialStateWithAutoscaler() throws Exception {
    KafkaIndexTaskClientFactory taskClientFactory = new KafkaIndexTaskClientFactory(null, null) {

        @Override
        public KafkaIndexTaskClient build(TaskInfoProvider taskInfoProvider, String dataSource, int numThreads, Duration httpTimeout, long numRetries) {
            Assert.assertEquals(TEST_CHAT_THREADS, numThreads);
            Assert.assertEquals(TEST_HTTP_TIMEOUT.toStandardDuration(), httpTimeout);
            Assert.assertEquals(TEST_CHAT_RETRIES, numRetries);
            return taskClient;
        }
    };
    HashMap<String, Object> autoScalerConfig = new HashMap<>();
    autoScalerConfig.put("enableTaskAutoScaler", true);
    autoScalerConfig.put("lagCollectionIntervalMillis", 500);
    autoScalerConfig.put("lagCollectionRangeMillis", 500);
    autoScalerConfig.put("scaleOutThreshold", 0);
    autoScalerConfig.put("triggerScaleOutFractionThreshold", 0.0);
    autoScalerConfig.put("scaleInThreshold", 1000000);
    autoScalerConfig.put("triggerScaleInFractionThreshold", 0.8);
    autoScalerConfig.put("scaleActionStartDelayMillis", 0);
    autoScalerConfig.put("scaleActionPeriodMillis", 100);
    autoScalerConfig.put("taskCountMax", 2);
    autoScalerConfig.put("taskCountMin", 1);
    autoScalerConfig.put("scaleInStep", 1);
    autoScalerConfig.put("scaleOutStep", 2);
    autoScalerConfig.put("minTriggerScaleActionFrequencyMillis", 1200000);
    final Map<String, Object> consumerProperties = KafkaConsumerConfigs.getConsumerProperties();
    consumerProperties.put("myCustomKey", "myCustomValue");
    consumerProperties.put("bootstrap.servers", kafkaHost);
    KafkaSupervisorIOConfig kafkaSupervisorIOConfig = new KafkaSupervisorIOConfig(topic, INPUT_FORMAT, 1, 1, new Period("PT1H"), consumerProperties, OBJECT_MAPPER.convertValue(autoScalerConfig, LagBasedAutoScalerConfig.class), KafkaSupervisorIOConfig.DEFAULT_POLL_TIMEOUT_MILLIS, new Period("P1D"), new Period("PT30S"), true, new Period("PT30M"), null, null, null);
    final KafkaSupervisorTuningConfig tuningConfigOri = new KafkaSupervisorTuningConfig(null, 1000, null, null, 50000, null, new Period("P1Y"), new File("/test"), null, null, null, false, null, false, null, numThreads, TEST_CHAT_THREADS, TEST_CHAT_RETRIES, TEST_HTTP_TIMEOUT, TEST_SHUTDOWN_TIMEOUT, null, null, null, null, null);
    EasyMock.expect(ingestionSchema.getIOConfig()).andReturn(kafkaSupervisorIOConfig).anyTimes();
    EasyMock.expect(ingestionSchema.getDataSchema()).andReturn(dataSchema).anyTimes();
    EasyMock.expect(ingestionSchema.getTuningConfig()).andReturn(tuningConfigOri).anyTimes();
    EasyMock.replay(ingestionSchema);
    SeekableStreamSupervisorSpec testableSupervisorSpec = new KafkaSupervisorSpec(ingestionSchema, dataSchema, tuningConfigOri, kafkaSupervisorIOConfig, null, false, taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new NoopServiceEmitter(), new DruidMonitorSchedulerConfig(), rowIngestionMetersFactory, new SupervisorStateManagerConfig());
    supervisor = new TestableKafkaSupervisor(taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, (KafkaSupervisorSpec) testableSupervisorSpec, rowIngestionMetersFactory);
    SupervisorTaskAutoScaler autoscaler = testableSupervisorSpec.createAutoscaler(supervisor);
    final KafkaSupervisorTuningConfig tuningConfig = supervisor.getTuningConfig();
    addSomeEvents(1);
    Capture<KafkaIndexTask> captured = Capture.newInstance();
    EasyMock.expect(taskMaster.getTaskQueue()).andReturn(Optional.of(taskQueue)).anyTimes();
    EasyMock.expect(taskMaster.getTaskRunner()).andReturn(Optional.of(taskRunner)).anyTimes();
    EasyMock.expect(taskMaster.getSupervisorManager()).andReturn(Optional.absent()).anyTimes();
    EasyMock.expect(taskStorage.getActiveTasksByDatasource(DATASOURCE)).andReturn(ImmutableList.of()).anyTimes();
    EasyMock.expect(indexerMetadataStorageCoordinator.retrieveDataSourceMetadata(DATASOURCE)).andReturn(new KafkaDataSourceMetadata(null)).anyTimes();
    EasyMock.expect(taskQueue.add(EasyMock.capture(captured))).andReturn(true);
    taskRunner.registerListener(EasyMock.anyObject(TaskRunnerListener.class), EasyMock.anyObject(Executor.class));
    replayAll();
    supervisor.start();
    int taskCountBeforeScale = supervisor.getIoConfig().getTaskCount();
    Assert.assertEquals(1, taskCountBeforeScale);
    autoscaler.start();
    supervisor.runInternal();
    Thread.sleep(1 * 1000);
    verifyAll();
    int taskCountAfterScale = supervisor.getIoConfig().getTaskCount();
    Assert.assertEquals(2, taskCountAfterScale);
    KafkaIndexTask task = captured.getValue();
    Assert.assertEquals(KafkaSupervisorTest.dataSchema, task.getDataSchema());
    Assert.assertEquals(tuningConfig.convertToTaskTuningConfig(), task.getTuningConfig());
    KafkaIndexTaskIOConfig taskConfig = task.getIOConfig();
    Assert.assertEquals(kafkaHost, taskConfig.getConsumerProperties().get("bootstrap.servers"));
    Assert.assertEquals("myCustomValue", taskConfig.getConsumerProperties().get("myCustomKey"));
    Assert.assertEquals("sequenceName-0", taskConfig.getBaseSequenceName());
    Assert.assertTrue("isUseTransaction", taskConfig.isUseTransaction());
    Assert.assertFalse("minimumMessageTime", taskConfig.getMinimumMessageTime().isPresent());
    Assert.assertFalse("maximumMessageTime", taskConfig.getMaximumMessageTime().isPresent());
    Assert.assertEquals(topic, taskConfig.getStartSequenceNumbers().getStream());
    Assert.assertEquals(0L, (long) taskConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().get(0));
    Assert.assertEquals(0L, (long) taskConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().get(1));
    Assert.assertEquals(0L, (long) taskConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().get(2));
    Assert.assertEquals(topic, taskConfig.getEndSequenceNumbers().getStream());
    Assert.assertEquals(Long.MAX_VALUE, (long) taskConfig.getEndSequenceNumbers().getPartitionSequenceNumberMap().get(0));
    Assert.assertEquals(Long.MAX_VALUE, (long) taskConfig.getEndSequenceNumbers().getPartitionSequenceNumberMap().get(1));
    Assert.assertEquals(Long.MAX_VALUE, (long) taskConfig.getEndSequenceNumbers().getPartitionSequenceNumberMap().get(2));
    autoscaler.reset();
    autoscaler.stop();
}

Example 17 with DruidMonitorSchedulerConfig

use of org.apache.druid.server.metrics.DruidMonitorSchedulerConfig in project druid by apache.

the class KafkaSupervisorTest method getTestableSupervisor.

private TestableKafkaSupervisor getTestableSupervisor(int replicas, int taskCount, boolean useEarliestOffset, boolean resetOffsetAutomatically, String duration, Period lateMessageRejectionPeriod, Period earlyMessageRejectionPeriod, boolean suspended, String kafkaHost) {
    final Map<String, Object> consumerProperties = KafkaConsumerConfigs.getConsumerProperties();
    consumerProperties.put("myCustomKey", "myCustomValue");
    consumerProperties.put("bootstrap.servers", kafkaHost);
    KafkaSupervisorIOConfig kafkaSupervisorIOConfig = new KafkaSupervisorIOConfig(topic, INPUT_FORMAT, replicas, taskCount, new Period(duration), consumerProperties, null, KafkaSupervisorIOConfig.DEFAULT_POLL_TIMEOUT_MILLIS, new Period("P1D"), new Period("PT30S"), useEarliestOffset, new Period("PT30M"), lateMessageRejectionPeriod, earlyMessageRejectionPeriod, null);
    KafkaIndexTaskClientFactory taskClientFactory = new KafkaIndexTaskClientFactory(null, null) {

        @Override
        public KafkaIndexTaskClient build(TaskInfoProvider taskInfoProvider, String dataSource, int numThreads, Duration httpTimeout, long numRetries) {
            Assert.assertEquals(TEST_CHAT_THREADS, numThreads);
            Assert.assertEquals(TEST_HTTP_TIMEOUT.toStandardDuration(), httpTimeout);
            Assert.assertEquals(TEST_CHAT_RETRIES, numRetries);
            return taskClient;
        }
    };
    final KafkaSupervisorTuningConfig tuningConfig = new KafkaSupervisorTuningConfig(null, 1000, null, null, 50000, null, new Period("P1Y"), new File("/test"), null, null, null, false, null, resetOffsetAutomatically, null, numThreads, TEST_CHAT_THREADS, TEST_CHAT_RETRIES, TEST_HTTP_TIMEOUT, TEST_SHUTDOWN_TIMEOUT, null, null, null, null, 10);
    return new TestableKafkaSupervisor(taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new KafkaSupervisorSpec(null, dataSchema, tuningConfig, kafkaSupervisorIOConfig, null, suspended, taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new NoopServiceEmitter(), new DruidMonitorSchedulerConfig(), rowIngestionMetersFactory, new SupervisorStateManagerConfig()), rowIngestionMetersFactory);
}

Example 18 with DruidMonitorSchedulerConfig

use of org.apache.druid.server.metrics.DruidMonitorSchedulerConfig in project druid by apache.

the class KinesisSupervisorTest method getTestableSupervisor.

private TestableKinesisSupervisor getTestableSupervisor(int replicas, int taskCount, boolean useEarliestOffset, boolean resetOffsetAutomatically, String duration, Period lateMessageRejectionPeriod, Period earlyMessageRejectionPeriod, boolean suspended) {
    KinesisSupervisorIOConfig kinesisSupervisorIOConfig = new KinesisSupervisorIOConfig(STREAM, INPUT_FORMAT, "awsEndpoint", null, replicas, taskCount, new Period(duration), new Period("P1D"), new Period("PT30S"), useEarliestOffset, new Period("PT30M"), lateMessageRejectionPeriod, earlyMessageRejectionPeriod, null, null, null, null, null, null, false);
    KinesisIndexTaskClientFactory taskClientFactory = new KinesisIndexTaskClientFactory(null, null) {

        @Override
        public KinesisIndexTaskClient build(TaskInfoProvider taskInfoProvider, String dataSource, int numThreads, Duration httpTimeout, long numRetries) {
            Assert.assertEquals(TEST_CHAT_THREADS, numThreads);
            Assert.assertEquals(TEST_HTTP_TIMEOUT.toStandardDuration(), httpTimeout);
            Assert.assertEquals(TEST_CHAT_RETRIES, numRetries);
            return taskClient;
        }
    };
    final KinesisSupervisorTuningConfig tuningConfig = new KinesisSupervisorTuningConfig(null, 1000, null, null, 50000, null, new Period("P1Y"), new File("/test"), null, null, null, false, null, resetOffsetAutomatically, null, null, numThreads, TEST_CHAT_THREADS, TEST_CHAT_RETRIES, TEST_HTTP_TIMEOUT, TEST_SHUTDOWN_TIMEOUT, null, null, null, 5000, null, null, null, null, null, null, null, null, null);
    return new TestableKinesisSupervisor(taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new KinesisSupervisorSpec(null, dataSchema, tuningConfig, kinesisSupervisorIOConfig, null, suspended, taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new NoopServiceEmitter(), new DruidMonitorSchedulerConfig(), rowIngestionMetersFactory, null, new SupervisorStateManagerConfig()), rowIngestionMetersFactory);
}

Example 19 with DruidMonitorSchedulerConfig

use of org.apache.druid.server.metrics.DruidMonitorSchedulerConfig in project druid by apache.

the class KinesisSupervisorTest method getSupervisor.

/**
 * Use for tests where you don't want generateSequenceName to be overridden out
 */
private KinesisSupervisor getSupervisor(int replicas, int taskCount, boolean useEarliestOffset, String duration, Period lateMessageRejectionPeriod, Period earlyMessageRejectionPeriod, boolean suspended, Integer recordsPerFetch, Integer fetchDelayMillis, DataSchema dataSchema, KinesisSupervisorTuningConfig tuningConfig) {
    KinesisSupervisorIOConfig kinesisSupervisorIOConfig = new KinesisSupervisorIOConfig(STREAM, INPUT_FORMAT, "awsEndpoint", null, replicas, taskCount, new Period(duration), new Period("P1D"), new Period("PT30S"), useEarliestOffset, new Period("PT30M"), lateMessageRejectionPeriod, earlyMessageRejectionPeriod, null, recordsPerFetch, fetchDelayMillis, null, null, null, false);
    KinesisIndexTaskClientFactory taskClientFactory = new KinesisIndexTaskClientFactory(null, null) {

        @Override
        public KinesisIndexTaskClient build(TaskInfoProvider taskInfoProvider, String dataSource, int numThreads, Duration httpTimeout, long numRetries) {
            Assert.assertEquals(TEST_CHAT_THREADS, numThreads);
            Assert.assertEquals(TEST_HTTP_TIMEOUT.toStandardDuration(), httpTimeout);
            Assert.assertEquals(TEST_CHAT_RETRIES, numRetries);
            return taskClient;
        }
    };
    return new KinesisSupervisor(taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new KinesisSupervisorSpec(null, dataSchema, tuningConfig, kinesisSupervisorIOConfig, null, suspended, taskStorage, taskMaster, indexerMetadataStorageCoordinator, taskClientFactory, OBJECT_MAPPER, new NoopServiceEmitter(), new DruidMonitorSchedulerConfig(), rowIngestionMetersFactory, null, supervisorConfig), rowIngestionMetersFactory, null);
}

Example 20 with DruidMonitorSchedulerConfig

use of org.apache.druid.server.metrics.DruidMonitorSchedulerConfig in project druid by apache.

the class KinesisSupervisorTest method testRecordSupplier.

@Test
public void testRecordSupplier() {
    KinesisSupervisorIOConfig kinesisSupervisorIOConfig = new KinesisSupervisorIOConfig(STREAM, INPUT_FORMAT, "awsEndpoint", null, 1, 1, new Period("PT30M"), new Period("P1D"), new Period("PT30S"), false, new Period("PT30M"), null, null, null, 100, 1000, null, null, null, false);
    KinesisIndexTaskClientFactory clientFactory = new KinesisIndexTaskClientFactory(null, OBJECT_MAPPER);
    KinesisSupervisor supervisor = new KinesisSupervisor(taskStorage, taskMaster, indexerMetadataStorageCoordinator, clientFactory, OBJECT_MAPPER, new KinesisSupervisorSpec(null, dataSchema, tuningConfig, kinesisSupervisorIOConfig, null, false, taskStorage, taskMaster, indexerMetadataStorageCoordinator, clientFactory, OBJECT_MAPPER, new NoopServiceEmitter(), new DruidMonitorSchedulerConfig(), rowIngestionMetersFactory, null, new SupervisorStateManagerConfig()), rowIngestionMetersFactory, null);
    KinesisRecordSupplier supplier = (KinesisRecordSupplier) supervisor.setupRecordSupplier();
    Assert.assertNotNull(supplier);
    Assert.assertEquals(0, supplier.bufferSize());
    Assert.assertEquals(Collections.emptySet(), supplier.getAssignment());
    // background fetch should not be enabled for supervisor supplier
    supplier.start();
    Assert.assertFalse(supplier.isBackgroundFetchRunning());
}