Examples with MesosWorkerStore org.apache.flink.mesos.runtime.clusterframework.store.MesosWorkerStore used on opensource projects

Example 1 with MesosWorkerStore

use of org.apache.flink.mesos.runtime.clusterframework.store.MesosWorkerStore in project flink by apache.

the class MesosApplicationMasterRunner method runPrivileged.

// ------------------------------------------------------------------------
//  Core work method
// ------------------------------------------------------------------------
/**
	 * The main work method, must run as a privileged action.
	 *
	 * @return The return code for the Java process.
	 */
protected int runPrivileged(Configuration config, Configuration dynamicProperties) {
    ActorSystem actorSystem = null;
    WebMonitor webMonitor = null;
    MesosArtifactServer artifactServer = null;
    ScheduledExecutorService futureExecutor = null;
    ExecutorService ioExecutor = null;
    MesosServices mesosServices = null;
    try {
        // ------- (1) load and parse / validate all configurations -------
        // Note that we use the "appMasterHostname" given by the system, to make sure
        // we use the hostnames consistently throughout akka.
        // for akka "localhost" and "localhost.localdomain" are different actors.
        final String appMasterHostname = InetAddress.getLocalHost().getHostName();
        // Mesos configuration
        final MesosConfiguration mesosConfig = createMesosConfig(config, appMasterHostname);
        // JM configuration
        int numberProcessors = Hardware.getNumberCPUCores();
        futureExecutor = Executors.newScheduledThreadPool(numberProcessors, new ExecutorThreadFactory("mesos-jobmanager-future"));
        ioExecutor = Executors.newFixedThreadPool(numberProcessors, new ExecutorThreadFactory("mesos-jobmanager-io"));
        mesosServices = MesosServicesUtils.createMesosServices(config);
        // TM configuration
        final MesosTaskManagerParameters taskManagerParameters = MesosTaskManagerParameters.create(config);
        LOG.info("TaskManagers will be created with {} task slots", taskManagerParameters.containeredParameters().numSlots());
        LOG.info("TaskManagers will be started with container size {} MB, JVM heap size {} MB, " + "JVM direct memory limit {} MB, {} cpus", taskManagerParameters.containeredParameters().taskManagerTotalMemoryMB(), taskManagerParameters.containeredParameters().taskManagerHeapSizeMB(), taskManagerParameters.containeredParameters().taskManagerDirectMemoryLimitMB(), taskManagerParameters.cpus());
        // JM endpoint, which should be explicitly configured based on acquired net resources
        final int listeningPort = config.getInteger(ConfigConstants.JOB_MANAGER_IPC_PORT_KEY, ConfigConstants.DEFAULT_JOB_MANAGER_IPC_PORT);
        checkState(listeningPort >= 0 && listeningPort <= 65536, "Config parameter \"" + ConfigConstants.JOB_MANAGER_IPC_PORT_KEY + "\" is invalid, it must be between 0 and 65536");
        // ----------------- (2) start the actor system -------------------
        // try to start the actor system, JobManager and JobManager actor system
        // using the configured address and ports
        actorSystem = BootstrapTools.startActorSystem(config, appMasterHostname, listeningPort, LOG);
        Address address = AkkaUtils.getAddress(actorSystem);
        final String akkaHostname = address.host().get();
        final int akkaPort = (Integer) address.port().get();
        LOG.info("Actor system bound to hostname {}.", akkaHostname);
        // try to start the artifact server
        LOG.debug("Starting Artifact Server");
        final int artifactServerPort = config.getInteger(ConfigConstants.MESOS_ARTIFACT_SERVER_PORT_KEY, ConfigConstants.DEFAULT_MESOS_ARTIFACT_SERVER_PORT);
        final String artifactServerPrefix = UUID.randomUUID().toString();
        artifactServer = new MesosArtifactServer(artifactServerPrefix, akkaHostname, artifactServerPort, config);
        // ----------------- (3) Generate the configuration for the TaskManagers -------------------
        // generate a container spec which conveys the artifacts/vars needed to launch a TM
        ContainerSpecification taskManagerContainerSpec = new ContainerSpecification();
        // propagate the AM dynamic configuration to the TM
        taskManagerContainerSpec.getDynamicConfiguration().addAll(dynamicProperties);
        // propagate newly-generated configuration elements
        final Configuration taskManagerConfig = BootstrapTools.generateTaskManagerConfiguration(new Configuration(), akkaHostname, akkaPort, taskManagerParameters.containeredParameters().numSlots(), TASKMANAGER_REGISTRATION_TIMEOUT);
        taskManagerContainerSpec.getDynamicConfiguration().addAll(taskManagerConfig);
        // apply the overlays
        applyOverlays(config, taskManagerContainerSpec);
        // configure the artifact server to serve the specified artifacts
        configureArtifactServer(artifactServer, taskManagerContainerSpec);
        // ----------------- (4) start the actors -------------------
        // 1) JobManager & Archive (in non-HA case, the leader service takes this)
        // 2) Web Monitor (we need its port to register)
        // 3) Resource Master for Mesos
        // 4) Process reapers for the JobManager and Resource Master
        // 1: the JobManager
        LOG.debug("Starting JobManager actor");
        // we start the JobManager with its standard name
        ActorRef jobManager = JobManager.startJobManagerActors(config, actorSystem, futureExecutor, ioExecutor, new scala.Some<>(JobManager.JOB_MANAGER_NAME()), scala.Option.<String>empty(), getJobManagerClass(), getArchivistClass())._1();
        // 2: the web monitor
        LOG.debug("Starting Web Frontend");
        webMonitor = BootstrapTools.startWebMonitorIfConfigured(config, actorSystem, jobManager, LOG);
        if (webMonitor != null) {
            final URL webMonitorURL = new URL("http", appMasterHostname, webMonitor.getServerPort(), "/");
            mesosConfig.frameworkInfo().setWebuiUrl(webMonitorURL.toExternalForm());
        }
        // 3: Flink's Mesos ResourceManager
        LOG.debug("Starting Mesos Flink Resource Manager");
        // create the worker store to persist task information across restarts
        MesosWorkerStore workerStore = mesosServices.createMesosWorkerStore(config, ioExecutor);
        // we need the leader retrieval service here to be informed of new
        // leader session IDs, even though there can be only one leader ever
        LeaderRetrievalService leaderRetriever = LeaderRetrievalUtils.createLeaderRetrievalService(config, jobManager);
        Props resourceMasterProps = MesosFlinkResourceManager.createActorProps(getResourceManagerClass(), config, mesosConfig, workerStore, leaderRetriever, taskManagerParameters, taskManagerContainerSpec, artifactServer, LOG);
        ActorRef resourceMaster = actorSystem.actorOf(resourceMasterProps, "Mesos_Resource_Master");
        // 4: Process reapers
        // The process reapers ensure that upon unexpected actor death, the process exits
        // and does not stay lingering around unresponsive
        LOG.debug("Starting process reapers for JobManager");
        actorSystem.actorOf(Props.create(ProcessReaper.class, resourceMaster, LOG, ACTOR_DIED_EXIT_CODE), "Mesos_Resource_Master_Process_Reaper");
        actorSystem.actorOf(Props.create(ProcessReaper.class, jobManager, LOG, ACTOR_DIED_EXIT_CODE), "JobManager_Process_Reaper");
    } catch (Throwable t) {
        // make sure that everything whatever ends up in the log
        LOG.error("Mesos JobManager initialization failed", t);
        if (webMonitor != null) {
            try {
                webMonitor.stop();
            } catch (Throwable ignored) {
                LOG.warn("Failed to stop the web frontend", ignored);
            }
        }
        if (artifactServer != null) {
            try {
                artifactServer.stop();
            } catch (Throwable ignored) {
                LOG.error("Failed to stop the artifact server", ignored);
            }
        }
        if (actorSystem != null) {
            try {
                actorSystem.shutdown();
            } catch (Throwable tt) {
                LOG.error("Error shutting down actor system", tt);
            }
        }
        if (futureExecutor != null) {
            try {
                futureExecutor.shutdownNow();
            } catch (Throwable tt) {
                LOG.error("Error shutting down future executor", tt);
            }
        }
        if (ioExecutor != null) {
            try {
                ioExecutor.shutdownNow();
            } catch (Throwable tt) {
                LOG.error("Error shutting down io executor", tt);
            }
        }
        if (mesosServices != null) {
            try {
                mesosServices.close(false);
            } catch (Throwable tt) {
                LOG.error("Error closing the mesos services.", tt);
            }
        }
        return INIT_ERROR_EXIT_CODE;
    }
    // everything started, we can wait until all is done or the process is killed
    LOG.info("Mesos JobManager started");
    // wait until everything is done
    actorSystem.awaitTermination();
    // if we get here, everything work out jolly all right, and we even exited smoothly
    if (webMonitor != null) {
        try {
            webMonitor.stop();
        } catch (Throwable t) {
            LOG.error("Failed to stop the web frontend", t);
        }
    }
    try {
        artifactServer.stop();
    } catch (Throwable t) {
        LOG.error("Failed to stop the artifact server", t);
    }
    org.apache.flink.runtime.concurrent.Executors.gracefulShutdown(AkkaUtils.getTimeout(config).toMillis(), TimeUnit.MILLISECONDS, futureExecutor, ioExecutor);
    try {
        mesosServices.close(true);
    } catch (Throwable t) {
        LOG.error("Failed to clean up and close MesosServices.", t);
    }
    return 0;
}