Examples with Parameters io.mantisrx.runtime.parameter.Parameters used on opensource projects

Example 6 with Parameters

use of io.mantisrx.runtime.parameter.Parameters in project mantis by Netflix.

the class KafkaSourceTest method testKafkaSourceSingleConsumerReadsAllMessagesInOrderFromSinglePartition.

@Test
public void testKafkaSourceSingleConsumerReadsAllMessagesInOrderFromSinglePartition() throws InterruptedException {
    String testTopic = "testTopic" + topicNum.incrementAndGet();
    int numPartitions = 1;
    kafkaServer.createTopic(testTopic, numPartitions);
    int numMessages = 10;
    for (int i = 0; i < numMessages; i++) {
        ProducerRecord<String, String> keyedMessage = new ProducerRecord<>(testTopic, "{\"messageNum\":" + i + "}");
        kafkaServer.sendMessages(keyedMessage);
    }
    KafkaSource kafkaSource = new KafkaSource(new NoopRegistry());
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.TOPIC, testTopic, KafkaSourceParameters.PREFIX + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest", KafkaSourceParameters.PREFIX + ConsumerConfig.GROUP_ID_CONFIG, "testKafkaConsumer-" + random.nextInt());
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    when(context.getWorkerInfo()).then((Answer<WorkerInfo>) invocation -> new WorkerInfo("testJobName", "testJobName-1", 1, 0, 1, MantisJobDurationType.Perpetual, "1.1.1.1"));
    when(context.getJobId()).then((Answer<String>) invocation -> "testJobName-1");
    Index index = new Index(0, 10);
    Observable<Observable<KafkaAckable>> sourceObs = kafkaSource.call(context, index);
    final CountDownLatch latch = new CountDownLatch(numMessages);
    final AtomicInteger counter = new AtomicInteger(0);
    sourceObs.flatMap(kafkaAckableObs -> kafkaAckableObs).map(kafkaAckable -> {
        Optional<Map<String, Object>> parsedEvent = kafkaAckable.getKafkaData().getParsedEvent();
        assertTrue(parsedEvent.isPresent());
        assertEquals(counter.getAndIncrement(), parsedEvent.get().get("messageNum"));
        LOGGER.info("got message on topic {} consumer Id {}", parsedEvent.get(), kafkaAckable.getKafkaData().getMantisKafkaConsumerId());
        kafkaAckable.ack();
        latch.countDown();
        return parsedEvent;
    }).subscribe();
    assertTrue("timed out waiting to get all messages from Kafka", latch.await(10, TimeUnit.SECONDS));
    kafkaServer.deleteTopic(testTopic);
}

Example 7 with Parameters

use of io.mantisrx.runtime.parameter.Parameters in project mantis by Netflix.

the class MantisKafkaProducerConfig method applyJobParamOverrides.

private static Map<String, Object> applyJobParamOverrides(Context context, Map<String, Object> parsedValues) {
    final Parameters parameters = context.getParameters();
    Map<String, Object> defaultProps = defaultProps();
    for (String key : configNames()) {
        Object value = parameters.get(KafkaSinkJobParameters.PREFIX + key, null);
        if (value != null) {
            LOGGER.info("job param override for key {} -> {}", key, value);
            parsedValues.put(key, value);
        }
    }
    final String bootstrapBrokers = (String) parameters.get(KafkaSinkJobParameters.PREFIX + ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, defaultProps.get(BOOTSTRAP_SERVERS_CONFIG));
    parsedValues.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapBrokers);
    final String clientId = (String) parameters.get(KafkaSinkJobParameters.PREFIX + ProducerConfig.CLIENT_ID_CONFIG, context.getJobId());
    parsedValues.put(ProducerConfig.CLIENT_ID_CONFIG, clientId);
    return parsedValues;
}

Example 8 with Parameters

use of io.mantisrx.runtime.parameter.Parameters in project mantis by Netflix.

the class WorkerExecutionOperationsNetworkStage method executeStage.

@SuppressWarnings({ "rawtypes", "unchecked" })
@Override
public void executeStage(final ExecutionDetails setup) {
    ExecuteStageRequest executionRequest = setup.getExecuteStageRequest().getRequest();
    // Initialize the schedulingInfo observable for current job and mark it shareable to be reused by anyone interested in this data.
    // Observable<JobSchedulingInfo> selfSchedulingInfo = mantisMasterApi.schedulingChanges(executionRequest.getJobId()).switchMap((e) -> Observable.just(e).repeatWhen(x -> x.delay(5 , TimeUnit.SECONDS))).subscribeOn(Schedulers.io()).share();
    Observable<JobSchedulingInfo> selfSchedulingInfo = mantisMasterApi.schedulingChanges(executionRequest.getJobId()).subscribeOn(Schedulers.io()).share();
    WorkerInfo workerInfo = generateWorkerInfo(executionRequest.getJobName(), executionRequest.getJobId(), executionRequest.getStage(), executionRequest.getWorkerIndex(), executionRequest.getWorkerNumber(), executionRequest.getDurationType(), "host", executionRequest.getWorkerPorts());
    final Observable<Integer> sourceStageTotalWorkersObs = createSourceStageTotalWorkersObservable(selfSchedulingInfo);
    RunningWorker.Builder rwBuilder = new RunningWorker.Builder().job(setup.getMantisJob()).schedulingInfo(executionRequest.getSchedulingInfo()).stageTotalWorkersObservable(sourceStageTotalWorkersObs).jobName(executionRequest.getJobName()).stageNum(executionRequest.getStage()).workerIndex(executionRequest.getWorkerIndex()).workerNum(executionRequest.getWorkerNumber()).totalStages(executionRequest.getTotalNumStages()).metricsPort(executionRequest.getMetricsPort()).ports(executionRequest.getPorts().iterator()).jobStatusObserver(setup.getStatus()).requestSubject(setup.getExecuteStageRequest().getRequestSubject()).workerInfo(workerInfo).vmTaskStatusObservable(vmTaskStatusObserver).hasJobMaster(executionRequest.getHasJobMaster()).jobId(executionRequest.getJobId());
    if (executionRequest.getStage() == 0) {
        rwBuilder = rwBuilder.stage(new JobMasterStageConfig("jobmasterconfig"));
    } else {
        rwBuilder = rwBuilder.stage((StageConfig) setup.getMantisJob().getStages().get(executionRequest.getStage() - 1));
    }
    final RunningWorker rw = rwBuilder.build();
    AtomicReference<SubscriptionStateHandler> subscriptionStateHandlerRef = new AtomicReference<>();
    if (rw.getStageNum() == rw.getTotalStagesNet()) {
        // set up subscription state handler only for sink (last) stage
        subscriptionStateHandlerRef.set(setupSubscriptionStateHandler(setup.getExecuteStageRequest().getRequest().getJobId(), mantisMasterApi, setup.getExecuteStageRequest().getRequest().getSubscriptionTimeoutSecs(), setup.getExecuteStageRequest().getRequest().getMinRuntimeSecs()));
    }
    logger.info("Running worker info: " + rw);
    rw.signalStartedInitiated();
    try {
        logger.info(">>>>>>>>>>>>>>>>Calling lifecycle.startup()");
        Lifecycle lifecycle = rw.getJob().getLifecycle();
        lifecycle.startup();
        ServiceLocator serviceLocator = lifecycle.getServiceLocator();
        if (lookupSpectatorRegistry) {
            try {
                final Registry spectatorRegistry = serviceLocator.service(Registry.class);
                SpectatorRegistryFactory.setRegistry(spectatorRegistry);
            } catch (Throwable t) {
                logger.error("failed to init spectator registry using service locator, falling back to {}", SpectatorRegistryFactory.getRegistry().getClass().getCanonicalName());
            }
        }
        // create job context
        Parameters parameters = ParameterUtils.createContextParameters(rw.getJob().getParameterDefinitions(), setup.getParameters());
        final Context context = generateContext(parameters, serviceLocator, workerInfo, MetricsRegistry.getInstance(), () -> {
            rw.signalCompleted();
            // wait for completion signal to go to the master and us getting killed. Upon timeout, exit.
            try {
                Thread.sleep(60000);
            } catch (InterruptedException ie) {
                logger.warn("Unexpected exception sleeping: " + ie.getMessage());
            }
            System.exit(0);
        }, createWorkerMapObservable(selfSchedulingInfo, executionRequest.getJobName(), executionRequest.getJobId(), executionRequest.getDurationType()));
        // context.setPrevStageCompletedObservable(createPrevStageCompletedObservable(selfSchedulingInfo, rw.getJobId(), rw.getStageNum()));
        rw.setContext(context);
        // setup heartbeats
        heartbeatRef.set(new Heartbeat(rw.getJobId(), rw.getStageNum(), rw.getWorkerIndex(), rw.getWorkerNum()));
        final double networkMbps = executionRequest.getSchedulingInfo().forStage(rw.getStageNum()).getMachineDefinition().getNetworkMbps();
        startSendingHeartbeats(rw.getJobStatus(), new WorkerId(executionRequest.getJobId(), executionRequest.getWorkerIndex(), executionRequest.getWorkerNumber()).getId(), networkMbps);
        // execute stage
        if (rw.getStageNum() == 0) {
            logger.info("JobId: " + rw.getJobId() + ", executing Job Master");
            final AutoScaleMetricsConfig autoScaleMetricsConfig = new AutoScaleMetricsConfig();
            // Temporary workaround to enable auto-scaling by custom metric in Job Master. This will be revisited to get the entire autoscaling config
            // for a job as a System parameter in the JobMaster
            final String autoScaleMetricString = (String) parameters.get(JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM, "");
            if (!Strings.isNullOrEmpty(autoScaleMetricString)) {
                final List<String> tokens = Splitter.on("::").omitEmptyStrings().trimResults().splitToList(autoScaleMetricString);
                if (tokens.size() == 3) {
                    final String metricGroup = tokens.get(0);
                    final String metricName = tokens.get(1);
                    final String algo = tokens.get(2);
                    try {
                        final AutoScaleMetricsConfig.AggregationAlgo aggregationAlgo = AutoScaleMetricsConfig.AggregationAlgo.valueOf(algo);
                        logger.info("registered UserDefined auto scale metric {}:{} algo {}", metricGroup, metricName, aggregationAlgo);
                        autoScaleMetricsConfig.addUserDefinedMetric(metricGroup, metricName, aggregationAlgo);
                    } catch (IllegalArgumentException e) {
                        final String errorMsg = String.format("ERROR: Invalid algorithm value %s for param %s (algo should be one of %s)", autoScaleMetricsConfig, JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM, Arrays.stream(AutoScaleMetricsConfig.AggregationAlgo.values()).map(a -> a.name()).collect(Collectors.toList()));
                        logger.error(errorMsg);
                        throw new RuntimeException(errorMsg);
                    }
                } else {
                    final String errorMsg = String.format("ERROR: Invalid value %s for param %s", autoScaleMetricString, JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM);
                    logger.error(errorMsg);
                    throw new RuntimeException(errorMsg);
                }
            } else {
                logger.info("param {} is null or empty", JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM);
            }
            final JobMasterService jobMasterService = new JobMasterService(rw.getJobId(), rw.getSchedulingInfo(), workerMetricsClient, autoScaleMetricsConfig, mantisMasterApi, rw.getContext(), rw.getOnCompleteCallback(), rw.getOnErrorCallback(), rw.getOnTerminateCallback());
            jobMasterService.start();
            signalStarted(rw, subscriptionStateHandlerRef);
            // block until worker terminates
            rw.waitUntilTerminate();
        } else if (rw.getStageNum() == 1 && rw.getTotalStagesNet() == 1) {
            logger.info("JobId: " + rw.getJobId() + ", single stage job, executing entire job");
            // single stage, execute entire job on this machine
            PortSelector portSelector = new PortSelector() {

                @Override
                public int acquirePort() {
                    return rw.getPorts().next();
                }
            };
            RxMetrics rxMetrics = new RxMetrics();
            StageExecutors.executeSingleStageJob(rw.getJob().getSource(), rw.getStage(), rw.getJob().getSink(), portSelector, rxMetrics, rw.getContext(), rw.getOnTerminateCallback(), rw.getWorkerIndex(), rw.getSourceStageTotalWorkersObservable(), onSinkSubscribe, onSinkUnsubscribe, rw.getOnCompleteCallback(), rw.getOnErrorCallback());
            signalStarted(rw, subscriptionStateHandlerRef);
            // block until worker terminates
            rw.waitUntilTerminate();
        } else {
            logger.info("JobId: " + rw.getJobId() + ", executing a multi-stage job, stage: " + rw.getStageNum());
            if (rw.getStageNum() == 1) {
                // execute source stage
                String remoteObservableName = rw.getJobId() + "_" + rw.getStageNum();
                StageSchedulingInfo currentStageSchedulingInfo = rw.getSchedulingInfo().forStage(1);
                WorkerPublisherRemoteObservable publisher = new WorkerPublisherRemoteObservable<>(rw.getPorts().next(), remoteObservableName, numWorkersAtStage(selfSchedulingInfo, rw.getJobId(), rw.getStageNum() + 1), rw.getJobName());
                StageExecutors.executeSource(rw.getWorkerIndex(), rw.getJob().getSource(), rw.getStage(), publisher, rw.getContext(), rw.getSourceStageTotalWorkersObservable());
                logger.info("JobId: " + rw.getJobId() + " stage: " + rw.getStageNum() + ", serving remote observable for source with name: " + remoteObservableName);
                RemoteRxServer server = publisher.getServer();
                RxMetrics rxMetrics = server.getMetrics();
                MetricsRegistry.getInstance().registerAndGet(rxMetrics.getCountersAndGauges());
                signalStarted(rw, subscriptionStateHandlerRef);
                logger.info("JobId: " + rw.getJobId() + " stage: " + rw.getStageNum() + ", blocking until source observable completes");
                server.blockUntilServerShutdown();
            } else {
                // execute intermediate stage or last stage plus sink
                executeNonSourceStage(selfSchedulingInfo, rw, subscriptionStateHandlerRef);
            }
        }
        logger.info("Calling lifecycle.shutdown()");
        lifecycle.shutdown();
    } catch (Throwable t) {
        rw.signalFailed(t);
        shutdownStage();
    }
}

Example 9 with Parameters

use of io.mantisrx.runtime.parameter.Parameters in project mantis by Netflix.

the class KafkaSourceTest method testKafkaSourceMultipleConsumersReadsAllMessagesFromMultiplePartitions.

@Test
public void testKafkaSourceMultipleConsumersReadsAllMessagesFromMultiplePartitions() throws InterruptedException {
    String testTopic = "testTopic" + topicNum.incrementAndGet();
    int numPartitions = 2;
    kafkaServer.createTopic(testTopic, numPartitions);
    int numMessages = 10;
    Set<Integer> outstandingMsgs = new ConcurrentSkipListSet<>();
    for (int i = 0; i < numMessages; i++) {
        ProducerRecord<String, String> keyedMessage = new ProducerRecord<>(testTopic, "{\"messageNum\":" + i + "}");
        kafkaServer.sendMessages(keyedMessage);
        outstandingMsgs.add(i);
    }
    KafkaSource kafkaSource = new KafkaSource(new NoopRegistry());
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.NUM_KAFKA_CONSUMER_PER_WORKER, 2, KafkaSourceParameters.TOPIC, testTopic, KafkaSourceParameters.PREFIX + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest", KafkaSourceParameters.PREFIX + ConsumerConfig.GROUP_ID_CONFIG, "testKafkaConsumer-" + random.nextInt());
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    when(context.getWorkerInfo()).then((Answer<WorkerInfo>) invocation -> new WorkerInfo("testJobName", "testJobName-1", 1, 0, 1, MantisJobDurationType.Perpetual, "1.1.1.1"));
    when(context.getJobId()).then((Answer<String>) invocation -> "testJobName-1");
    Index index = new Index(0, 10);
    Observable<Observable<KafkaAckable>> sourceObs = kafkaSource.call(context, index);
    final CountDownLatch latch = new CountDownLatch(numMessages);
    final Map<Integer, Integer> lastMessageNumByConsumerId = new ConcurrentHashMap<>();
    sourceObs.flatMap(kafkaAckableObs -> kafkaAckableObs).map(kafkaAckable -> {
        Optional<Map<String, Object>> parsedEvent = kafkaAckable.getKafkaData().getParsedEvent();
        assertTrue(parsedEvent.isPresent());
        Integer messageNum = (Integer) parsedEvent.get().get("messageNum");
        assertTrue(outstandingMsgs.contains(messageNum));
        outstandingMsgs.remove(messageNum);
        int mantisKafkaConsumerId = kafkaAckable.getKafkaData().getMantisKafkaConsumerId();
        lastMessageNumByConsumerId.putIfAbsent(mantisKafkaConsumerId, -1);
        // assert consumption of higher message numbers across consumer instances
        assertTrue(messageNum > lastMessageNumByConsumerId.get(mantisKafkaConsumerId));
        lastMessageNumByConsumerId.put(mantisKafkaConsumerId, messageNum);
        LOGGER.info("got message on topic {} consumer id {}", parsedEvent.get(), mantisKafkaConsumerId);
        kafkaAckable.ack();
        latch.countDown();
        return parsedEvent;
    }).doOnError(t -> {
        LOGGER.error("caught unexpected exception", t);
        fail("test failed due to unexpected error " + t.getMessage());
    }).subscribe();
    assertTrue("timed out waiting to get all messages from Kafka", latch.await(10, TimeUnit.SECONDS));
    assertEquals(0, outstandingMsgs.size());
    assertTrue(lastMessageNumByConsumerId.keySet().size() == 2);
    lastMessageNumByConsumerId.keySet().forEach(consumerId -> {
        assertTrue(lastMessageNumByConsumerId.get(consumerId) >= 0);
    });
    kafkaServer.deleteTopic(testTopic);
}

Example 10 with Parameters

use of io.mantisrx.runtime.parameter.Parameters in project mantis by Netflix.

the class MantisKafkaSourceConfigTest method testDefaultConsumerConfig.

@Test
public void testDefaultConsumerConfig() {
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.TOPIC, "testTopic");
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    MantisKafkaSourceConfig mantisKafkaSourceConfig = new MantisKafkaSourceConfig(context);
    assertEquals(MantisKafkaSourceConfig.DEFAULT_CONSUMER_POLL_TIMEOUT_MS, mantisKafkaSourceConfig.getConsumerPollTimeoutMs());
    assertEquals(CheckpointStrategyOptions.NONE, mantisKafkaSourceConfig.getCheckpointStrategy());
    assertEquals(MantisKafkaConsumerConfig.DEFAULT_CHECKPOINT_INTERVAL_MS, mantisKafkaSourceConfig.getCheckpointIntervalMs());
    assertEquals(MantisKafkaSourceConfig.DEFAULT_MAX_BYTES_IN_PROCESSING, mantisKafkaSourceConfig.getMaxBytesInProcessing());
    assertEquals(ParserType.SIMPLE_JSON.getPropName(), mantisKafkaSourceConfig.getMessageParserType());
    assertEquals(MantisKafkaSourceConfig.DEFAULT_NUM_KAFKA_CONSUMER_PER_WORKER, mantisKafkaSourceConfig.getNumConsumerInstances());
    assertEquals(MantisKafkaSourceConfig.DEFAULT_PARSE_MSG_IN_SOURCE, mantisKafkaSourceConfig.getParseMessageInSource());
    assertEquals(MantisKafkaSourceConfig.DEFAULT_RETRY_CHECKPOINT_CHECK_DELAY_MS, mantisKafkaSourceConfig.getRetryCheckpointCheckDelayMs());
    assertEquals(MantisKafkaSourceConfig.DEFAULT_ENABLE_STATIC_PARTITION_ASSIGN, mantisKafkaSourceConfig.getStaticPartitionAssignmentEnabled());
    assertEquals(Optional.empty(), mantisKafkaSourceConfig.getTopicPartitionCounts());
    assertEquals(Arrays.asList("testTopic"), mantisKafkaSourceConfig.getTopics());
}