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Example 1 with WorkerMetricsClient

use of io.mantisrx.server.worker.client.WorkerMetricsClient 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();
    }
}
Also used : Strings(io.mantisrx.shaded.com.google.common.base.Strings) Arrays(java.util.Arrays) MantisJobDurationType(io.mantisrx.runtime.MantisJobDurationType) MantisJobState(io.mantisrx.runtime.MantisJobState) LoggerFactory(org.slf4j.LoggerFactory) StageSchedulingInfo(io.mantisrx.runtime.descriptor.StageSchedulingInfo) JobMasterStageConfig(io.mantisrx.server.worker.jobmaster.JobMasterStageConfig) Lifecycle(io.mantisrx.runtime.lifecycle.Lifecycle) WorkerConsumer(io.mantisrx.runtime.executor.WorkerConsumer) ServiceRegistry(io.mantisrx.server.core.ServiceRegistry) JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM(io.mantisrx.runtime.parameter.ParameterUtils.JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM) WorkerPorts(io.mantisrx.common.WorkerPorts) ParameterUtils(io.mantisrx.runtime.parameter.ParameterUtils) Map(java.util.Map) Schedulers(rx.schedulers.Schedulers) VirtualMachineTaskStatus(io.mantisrx.server.worker.mesos.VirtualMachineTaskStatus) RxMetrics(io.reactivex.mantis.remote.observable.RxMetrics) Status(io.mantisrx.server.core.Status) StageExecutors(io.mantisrx.runtime.executor.StageExecutors) ScheduledThreadPoolExecutor(java.util.concurrent.ScheduledThreadPoolExecutor) WorkerAssignments(io.mantisrx.server.core.WorkerAssignments) Observer(rx.Observer) Collectors(java.util.stream.Collectors) JobMasterService(io.mantisrx.server.worker.jobmaster.JobMasterService) WorkerConsumerRemoteObservable(io.mantisrx.runtime.executor.WorkerConsumerRemoteObservable) CountDownLatch(java.util.concurrent.CountDownLatch) WorkerId(io.mantisrx.server.core.domain.WorkerId) List(java.util.List) ToDeltaEndpointInjector(io.reactivex.mantis.remote.observable.ToDeltaEndpointInjector) Action0(rx.functions.Action0) BehaviorSubject(rx.subjects.BehaviorSubject) Splitter(io.mantisrx.shaded.com.google.common.base.Splitter) Optional(java.util.Optional) WorkerMap(io.mantisrx.runtime.WorkerMap) PortSelector(io.mantisrx.runtime.executor.PortSelector) WorkerPublisherRemoteObservable(io.mantisrx.runtime.executor.WorkerPublisherRemoteObservable) StageConfig(io.mantisrx.runtime.StageConfig) MantisMasterClientApi(io.mantisrx.server.master.client.MantisMasterClientApi) MetricsRegistry(io.mantisrx.common.metrics.MetricsRegistry) AtomicBoolean(java.util.concurrent.atomic.AtomicBoolean) Parameters(io.mantisrx.runtime.parameter.Parameters) HashMap(java.util.HashMap) AtomicReference(java.util.concurrent.atomic.AtomicReference) Observable(rx.Observable) Func1(rx.functions.Func1) WorkerMetricsClient(io.mantisrx.server.worker.client.WorkerMetricsClient) LinkedList(java.util.LinkedList) RemoteRxServer(io.reactivex.mantis.remote.observable.RemoteRxServer) AutoScaleMetricsConfig(io.mantisrx.server.worker.jobmaster.AutoScaleMetricsConfig) JobSchedulingInfo(io.mantisrx.server.core.JobSchedulingInfo) Logger(org.slf4j.Logger) Iterator(java.util.Iterator) Endpoint(io.mantisrx.common.network.Endpoint) TYPE(io.mantisrx.server.core.Status.TYPE) Context(io.mantisrx.runtime.Context) StatusPayloads(io.mantisrx.server.core.StatusPayloads) TimeUnit(java.util.concurrent.TimeUnit) ServiceLocator(io.mantisrx.runtime.lifecycle.ServiceLocator) ExecuteStageRequest(io.mantisrx.server.core.ExecuteStageRequest) Registry(com.netflix.spectator.api.Registry) WorkerConfiguration(io.mantisrx.server.worker.config.WorkerConfiguration) SpectatorRegistryFactory(io.mantisrx.common.metrics.spectator.SpectatorRegistryFactory) WorkerInfo(io.mantisrx.runtime.WorkerInfo) WorkerHost(io.mantisrx.server.core.WorkerHost) WorkerPublisherRemoteObservable(io.mantisrx.runtime.executor.WorkerPublisherRemoteObservable) WorkerInfo(io.mantisrx.runtime.WorkerInfo) ExecuteStageRequest(io.mantisrx.server.core.ExecuteStageRequest) RxMetrics(io.reactivex.mantis.remote.observable.RxMetrics) AutoScaleMetricsConfig(io.mantisrx.server.worker.jobmaster.AutoScaleMetricsConfig) Context(io.mantisrx.runtime.Context) Parameters(io.mantisrx.runtime.parameter.Parameters) JobMasterService(io.mantisrx.server.worker.jobmaster.JobMasterService) PortSelector(io.mantisrx.runtime.executor.PortSelector) JobSchedulingInfo(io.mantisrx.server.core.JobSchedulingInfo) Lifecycle(io.mantisrx.runtime.lifecycle.Lifecycle) JobMasterStageConfig(io.mantisrx.server.worker.jobmaster.JobMasterStageConfig) AtomicReference(java.util.concurrent.atomic.AtomicReference) ServiceRegistry(io.mantisrx.server.core.ServiceRegistry) MetricsRegistry(io.mantisrx.common.metrics.MetricsRegistry) Registry(com.netflix.spectator.api.Registry) WorkerId(io.mantisrx.server.core.domain.WorkerId) RemoteRxServer(io.reactivex.mantis.remote.observable.RemoteRxServer) JobMasterStageConfig(io.mantisrx.server.worker.jobmaster.JobMasterStageConfig) StageConfig(io.mantisrx.runtime.StageConfig) ServiceLocator(io.mantisrx.runtime.lifecycle.ServiceLocator) StageSchedulingInfo(io.mantisrx.runtime.descriptor.StageSchedulingInfo)

Example 2 with WorkerMetricsClient

use of io.mantisrx.server.worker.client.WorkerMetricsClient in project mantis by Netflix.

the class SampleClient method main.

public static void main(String[] args) {
    objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
    try {
        Args.parse(SampleClient.class, args);
    } catch (IllegalArgumentException e) {
        Args.usage(SampleClient.class);
        System.exit(1);
    }
    System.out.println("propfile=" + propFile);
    Properties properties = new Properties();
    try (InputStream inputStream = new FileInputStream(propFile)) {
        properties.load(inputStream);
    } catch (IOException e) {
        e.printStackTrace();
    }
    final WorkerMetricsClient mantisClient = new WorkerMetricsClient(properties);
    try {
        switch(cmd) {
            case "metrics":
                if (jobId == null || jobId.isEmpty()) {
                    logger.error("Must provide jobId to connect to its metrics sink");
                } else {
                    Thread thread = new Thread() {

                        @Override
                        public void run() {
                            getMetricsData(mantisClient, jobId);
                        }
                    };
                    thread.start();
                }
                break;
            default:
                logger.error("Unknown command " + cmd);
                break;
        }
    } catch (Throwable t) {
        t.printStackTrace();
    }
}
Also used : FileInputStream(java.io.FileInputStream) InputStream(java.io.InputStream) WorkerMetricsClient(io.mantisrx.server.worker.client.WorkerMetricsClient) IOException(java.io.IOException) Properties(java.util.Properties) FileInputStream(java.io.FileInputStream)

Example 3 with WorkerMetricsClient

use of io.mantisrx.server.worker.client.WorkerMetricsClient in project mantis by Netflix.

the class SampleClient method getMetricsData.

private static void getMetricsData(WorkerMetricsClient mantisClient, final String localJobId) {
    final CountDownLatch startLatch = new CountDownLatch(1);
    final CountDownLatch finishLatch = new CountDownLatch(1);
    final MetricsClient metricsClient = mantisClient.getMetricsClientByJobId(localJobId, new SseWorkerConnectionFunction(true, new Action1<Throwable>() {

        @Override
        public void call(Throwable throwable) {
            logger.error("Sink connection error: " + throwable.getMessage());
            try {
                Thread.sleep(500);
            } catch (InterruptedException ie) {
                logger.error("Interrupted waiting for retrying connection");
            }
        }
    }), null);
    logger.info("Getting results observable for job {}", localJobId);
    Observable<MantisServerSentEvent> resultsObservable = Observable.merge(metricsClient.getResults());
    logger.info("Subscribing to it");
    final AtomicReference<Subscription> ref = new AtomicReference<>(null);
    final Thread t = new Thread() {

        @Override
        public void run() {
            try {
                startLatch.await();
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            try {
                sleep(300000);
            } catch (InterruptedException ie) {
            }
            logger.info("Closing client conx");
            try {
                ref.get().unsubscribe();
                finishLatch.countDown();
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    };
    t.setDaemon(true);
    final Subscription s = resultsObservable.doOnCompleted(new Action0() {

        @Override
        public void call() {
            finishLatch.countDown();
        }
    }).subscribe(new Action1<MantisServerSentEvent>() {

        @Override
        public void call(MantisServerSentEvent event) {
            if (startLatch.getCount() > 0) {
                startLatch.countDown();
            }
            logger.info("{} Got SSE: {}", localJobId, event.getEventAsString());
        }
    });
    ref.set(s);
    t.start();
    logger.info("SUBSCRIBED to job metrics changes");
    try {
        finishLatch.await();
        logger.info("Sink observable completed");
    } catch (InterruptedException e) {
        logger.error("thread interrupted", e);
    }
}
Also used : Action0(rx.functions.Action0) Action1(rx.functions.Action1) AtomicReference(java.util.concurrent.atomic.AtomicReference) CountDownLatch(java.util.concurrent.CountDownLatch) IOException(java.io.IOException) MetricsClient(io.mantisrx.server.worker.client.MetricsClient) WorkerMetricsClient(io.mantisrx.server.worker.client.WorkerMetricsClient) MantisServerSentEvent(io.mantisrx.common.MantisServerSentEvent) SseWorkerConnectionFunction(io.mantisrx.server.worker.client.SseWorkerConnectionFunction) Subscription(rx.Subscription)

Aggregations

WorkerMetricsClient (io.mantisrx.server.worker.client.WorkerMetricsClient)3 Registry (com.netflix.spectator.api.Registry)1 MantisServerSentEvent (io.mantisrx.common.MantisServerSentEvent)1 WorkerPorts (io.mantisrx.common.WorkerPorts)1 MetricsRegistry (io.mantisrx.common.metrics.MetricsRegistry)1 SpectatorRegistryFactory (io.mantisrx.common.metrics.spectator.SpectatorRegistryFactory)1 Endpoint (io.mantisrx.common.network.Endpoint)1 Context (io.mantisrx.runtime.Context)1 MantisJobDurationType (io.mantisrx.runtime.MantisJobDurationType)1 MantisJobState (io.mantisrx.runtime.MantisJobState)1 StageConfig (io.mantisrx.runtime.StageConfig)1 WorkerInfo (io.mantisrx.runtime.WorkerInfo)1 WorkerMap (io.mantisrx.runtime.WorkerMap)1 StageSchedulingInfo (io.mantisrx.runtime.descriptor.StageSchedulingInfo)1 PortSelector (io.mantisrx.runtime.executor.PortSelector)1 StageExecutors (io.mantisrx.runtime.executor.StageExecutors)1 WorkerConsumer (io.mantisrx.runtime.executor.WorkerConsumer)1 WorkerConsumerRemoteObservable (io.mantisrx.runtime.executor.WorkerConsumerRemoteObservable)1 WorkerPublisherRemoteObservable (io.mantisrx.runtime.executor.WorkerPublisherRemoteObservable)1 Lifecycle (io.mantisrx.runtime.lifecycle.Lifecycle)1