Examples with LeaderRetriever org.apache.flink.runtime.webmonitor.retriever.LeaderRetriever used on opensource projects

Example 1 with LeaderRetriever

use of org.apache.flink.runtime.webmonitor.retriever.LeaderRetriever in project flink by apache.

the class MiniCluster method start.

/**
 * Starts the mini cluster, based on the configured properties.
 *
 * @throws Exception This method passes on any exception that occurs during the startup of the
 *     mini cluster.
 */
public void start() throws Exception {
    synchronized (lock) {
        checkState(!running, "MiniCluster is already running");
        LOG.info("Starting Flink Mini Cluster");
        LOG.debug("Using configuration {}", miniClusterConfiguration);
        final Configuration configuration = miniClusterConfiguration.getConfiguration();
        final boolean useSingleRpcService = miniClusterConfiguration.getRpcServiceSharing() == RpcServiceSharing.SHARED;
        try {
            workingDirectory = WorkingDirectory.create(ClusterEntrypointUtils.generateWorkingDirectoryFile(configuration, Optional.empty(), "minicluster_" + ResourceID.generate()));
            initializeIOFormatClasses(configuration);
            rpcSystem = rpcSystemSupplier.get();
            LOG.info("Starting Metrics Registry");
            metricRegistry = createMetricRegistry(configuration, rpcSystem.deref().getMaximumMessageSizeInBytes(configuration));
            // bring up all the RPC services
            LOG.info("Starting RPC Service(s)");
            final RpcServiceFactory dispatcherResourceManagerComponentRpcServiceFactory;
            final RpcService metricQueryServiceRpcService;
            if (useSingleRpcService) {
                // we always need the 'commonRpcService' for auxiliary calls
                commonRpcService = createLocalRpcService(configuration, rpcSystem.deref());
                final CommonRpcServiceFactory commonRpcServiceFactory = new CommonRpcServiceFactory(commonRpcService);
                taskManagerRpcServiceFactory = commonRpcServiceFactory;
                dispatcherResourceManagerComponentRpcServiceFactory = commonRpcServiceFactory;
                metricQueryServiceRpcService = MetricUtils.startLocalMetricsRpcService(configuration, rpcSystem.deref());
            } else {
                // start a new service per component, possibly with custom bind addresses
                final String jobManagerExternalAddress = miniClusterConfiguration.getJobManagerExternalAddress();
                final String taskManagerExternalAddress = miniClusterConfiguration.getTaskManagerExternalAddress();
                final String jobManagerExternalPortRange = miniClusterConfiguration.getJobManagerExternalPortRange();
                final String taskManagerExternalPortRange = miniClusterConfiguration.getTaskManagerExternalPortRange();
                final String jobManagerBindAddress = miniClusterConfiguration.getJobManagerBindAddress();
                final String taskManagerBindAddress = miniClusterConfiguration.getTaskManagerBindAddress();
                dispatcherResourceManagerComponentRpcServiceFactory = new DedicatedRpcServiceFactory(configuration, jobManagerExternalAddress, jobManagerExternalPortRange, jobManagerBindAddress, rpcSystem.deref());
                taskManagerRpcServiceFactory = new DedicatedRpcServiceFactory(configuration, taskManagerExternalAddress, taskManagerExternalPortRange, taskManagerBindAddress, rpcSystem.deref());
                // we always need the 'commonRpcService' for auxiliary calls
                // bind to the JobManager address with port 0
                commonRpcService = createRemoteRpcService(configuration, jobManagerBindAddress, 0, rpcSystem.deref());
                metricQueryServiceRpcService = MetricUtils.startRemoteMetricsRpcService(configuration, commonRpcService.getAddress(), null, rpcSystem.deref());
            }
            metricRegistry.startQueryService(metricQueryServiceRpcService, null);
            processMetricGroup = MetricUtils.instantiateProcessMetricGroup(metricRegistry, RpcUtils.getHostname(commonRpcService), ConfigurationUtils.getSystemResourceMetricsProbingInterval(configuration));
            ioExecutor = Executors.newFixedThreadPool(ClusterEntrypointUtils.getPoolSize(configuration), new ExecutorThreadFactory("mini-cluster-io"));
            haServices = createHighAvailabilityServices(configuration, ioExecutor);
            blobServer = BlobUtils.createBlobServer(configuration, Reference.borrowed(workingDirectory.getBlobStorageDirectory()), haServices.createBlobStore());
            blobServer.start();
            heartbeatServices = HeartbeatServices.fromConfiguration(configuration);
            blobCacheService = BlobUtils.createBlobCacheService(configuration, Reference.borrowed(workingDirectory.getBlobStorageDirectory()), haServices.createBlobStore(), new InetSocketAddress(InetAddress.getLocalHost(), blobServer.getPort()));
            startTaskManagers();
            MetricQueryServiceRetriever metricQueryServiceRetriever = new RpcMetricQueryServiceRetriever(metricRegistry.getMetricQueryServiceRpcService());
            setupDispatcherResourceManagerComponents(configuration, dispatcherResourceManagerComponentRpcServiceFactory, metricQueryServiceRetriever);
            resourceManagerLeaderRetriever = haServices.getResourceManagerLeaderRetriever();
            dispatcherLeaderRetriever = haServices.getDispatcherLeaderRetriever();
            clusterRestEndpointLeaderRetrievalService = haServices.getClusterRestEndpointLeaderRetriever();
            dispatcherGatewayRetriever = new RpcGatewayRetriever<>(commonRpcService, DispatcherGateway.class, DispatcherId::fromUuid, new ExponentialBackoffRetryStrategy(21, Duration.ofMillis(5L), Duration.ofMillis(20L)));
            resourceManagerGatewayRetriever = new RpcGatewayRetriever<>(commonRpcService, ResourceManagerGateway.class, ResourceManagerId::fromUuid, new ExponentialBackoffRetryStrategy(21, Duration.ofMillis(5L), Duration.ofMillis(20L)));
            webMonitorLeaderRetriever = new LeaderRetriever();
            resourceManagerLeaderRetriever.start(resourceManagerGatewayRetriever);
            dispatcherLeaderRetriever.start(dispatcherGatewayRetriever);
            clusterRestEndpointLeaderRetrievalService.start(webMonitorLeaderRetriever);
        } catch (Exception e) {
            // cleanup everything
            try {
                close();
            } catch (Exception ee) {
                e.addSuppressed(ee);
            }
            throw e;
        }
        // create a new termination future
        terminationFuture = new CompletableFuture<>();
        // now officially mark this as running
        running = true;
        LOG.info("Flink Mini Cluster started successfully");
    }
}