Examples with RestServer org.apache.kafka.connect.runtime.rest.RestServer used on opensource projects

Example 1 with RestServer

use of org.apache.kafka.connect.runtime.rest.RestServer in project apache-kafka-on-k8s by banzaicloud.

the class ConnectStandalone method main.

public static void main(String[] args) throws Exception {
    if (args.length < 2) {
        log.info("Usage: ConnectStandalone worker.properties connector1.properties [connector2.properties ...]");
        Exit.exit(1);
    }
    try {
        Time time = Time.SYSTEM;
        log.info("Kafka Connect standalone worker initializing ...");
        long initStart = time.hiResClockMs();
        WorkerInfo initInfo = new WorkerInfo();
        initInfo.logAll();
        String workerPropsFile = args[0];
        Map<String, String> workerProps = !workerPropsFile.isEmpty() ? Utils.propsToStringMap(Utils.loadProps(workerPropsFile)) : Collections.<String, String>emptyMap();
        log.info("Scanning for plugin classes. This might take a moment ...");
        Plugins plugins = new Plugins(workerProps);
        plugins.compareAndSwapWithDelegatingLoader();
        StandaloneConfig config = new StandaloneConfig(workerProps);
        String kafkaClusterId = ConnectUtils.lookupKafkaClusterId(config);
        log.debug("Kafka cluster ID: {}", kafkaClusterId);
        RestServer rest = new RestServer(config);
        URI advertisedUrl = rest.advertisedUrl();
        String workerId = advertisedUrl.getHost() + ":" + advertisedUrl.getPort();
        Worker worker = new Worker(workerId, time, plugins, config, new FileOffsetBackingStore());
        Herder herder = new StandaloneHerder(worker, kafkaClusterId);
        final Connect connect = new Connect(herder, rest);
        log.info("Kafka Connect standalone worker initialization took {}ms", time.hiResClockMs() - initStart);
        try {
            connect.start();
            for (final String connectorPropsFile : Arrays.copyOfRange(args, 1, args.length)) {
                Map<String, String> connectorProps = Utils.propsToStringMap(Utils.loadProps(connectorPropsFile));
                FutureCallback<Herder.Created<ConnectorInfo>> cb = new FutureCallback<>(new Callback<Herder.Created<ConnectorInfo>>() {

                    @Override
                    public void onCompletion(Throwable error, Herder.Created<ConnectorInfo> info) {
                        if (error != null)
                            log.error("Failed to create job for {}", connectorPropsFile);
                        else
                            log.info("Created connector {}", info.result().name());
                    }
                });
                herder.putConnectorConfig(connectorProps.get(ConnectorConfig.NAME_CONFIG), connectorProps, false, cb);
                cb.get();
            }
        } catch (Throwable t) {
            log.error("Stopping after connector error", t);
            connect.stop();
            Exit.exit(3);
        }
        // Shutdown will be triggered by Ctrl-C or via HTTP shutdown request
        connect.awaitStop();
    } catch (Throwable t) {
        log.error("Stopping due to error", t);
        Exit.exit(2);
    }
}

Example 2 with RestServer

use of org.apache.kafka.connect.runtime.rest.RestServer in project kafka by apache.

the class ConnectStandalone method main.

public static void main(String[] args) {
    if (args.length < 2 || Arrays.asList(args).contains("--help")) {
        log.info("Usage: ConnectStandalone worker.properties connector1.properties [connector2.properties ...]");
        Exit.exit(1);
    }
    try {
        Time time = Time.SYSTEM;
        log.info("Kafka Connect standalone worker initializing ...");
        long initStart = time.hiResClockMs();
        WorkerInfo initInfo = new WorkerInfo();
        initInfo.logAll();
        String workerPropsFile = args[0];
        Map<String, String> workerProps = !workerPropsFile.isEmpty() ? Utils.propsToStringMap(Utils.loadProps(workerPropsFile)) : Collections.emptyMap();
        log.info("Scanning for plugin classes. This might take a moment ...");
        Plugins plugins = new Plugins(workerProps);
        plugins.compareAndSwapWithDelegatingLoader();
        StandaloneConfig config = new StandaloneConfig(workerProps);
        String kafkaClusterId = ConnectUtils.lookupKafkaClusterId(config);
        log.debug("Kafka cluster ID: {}", kafkaClusterId);
        RestServer rest = new RestServer(config);
        rest.initializeServer();
        URI advertisedUrl = rest.advertisedUrl();
        String workerId = advertisedUrl.getHost() + ":" + advertisedUrl.getPort();
        ConnectorClientConfigOverridePolicy connectorClientConfigOverridePolicy = plugins.newPlugin(config.getString(WorkerConfig.CONNECTOR_CLIENT_POLICY_CLASS_CONFIG), config, ConnectorClientConfigOverridePolicy.class);
        Worker worker = new Worker(workerId, time, plugins, config, new FileOffsetBackingStore(), connectorClientConfigOverridePolicy);
        Herder herder = new StandaloneHerder(worker, kafkaClusterId, connectorClientConfigOverridePolicy);
        final Connect connect = new Connect(herder, rest);
        log.info("Kafka Connect standalone worker initialization took {}ms", time.hiResClockMs() - initStart);
        try {
            connect.start();
            for (final String connectorPropsFile : Arrays.copyOfRange(args, 1, args.length)) {
                Map<String, String> connectorProps = Utils.propsToStringMap(Utils.loadProps(connectorPropsFile));
                FutureCallback<Herder.Created<ConnectorInfo>> cb = new FutureCallback<>((error, info) -> {
                    if (error != null)
                        log.error("Failed to create job for {}", connectorPropsFile);
                    else
                        log.info("Created connector {}", info.result().name());
                });
                herder.putConnectorConfig(connectorProps.get(ConnectorConfig.NAME_CONFIG), connectorProps, false, cb);
                cb.get();
            }
        } catch (Throwable t) {
            log.error("Stopping after connector error", t);
            connect.stop();
            Exit.exit(3);
        }
        // Shutdown will be triggered by Ctrl-C or via HTTP shutdown request
        connect.awaitStop();
    } catch (Throwable t) {
        log.error("Stopping due to error", t);
        Exit.exit(2);
    }
}

Example 3 with RestServer

use of org.apache.kafka.connect.runtime.rest.RestServer in project apache-kafka-on-k8s by banzaicloud.

the class ConnectDistributed method main.

public static void main(String[] args) throws Exception {
    if (args.length < 1) {
        log.info("Usage: ConnectDistributed worker.properties");
        Exit.exit(1);
    }
    try {
        Time time = Time.SYSTEM;
        log.info("Kafka Connect distributed worker initializing ...");
        long initStart = time.hiResClockMs();
        WorkerInfo initInfo = new WorkerInfo();
        initInfo.logAll();
        String workerPropsFile = args[0];
        Map<String, String> workerProps = !workerPropsFile.isEmpty() ? Utils.propsToStringMap(Utils.loadProps(workerPropsFile)) : Collections.<String, String>emptyMap();
        log.info("Scanning for plugin classes. This might take a moment ...");
        Plugins plugins = new Plugins(workerProps);
        plugins.compareAndSwapWithDelegatingLoader();
        DistributedConfig config = new DistributedConfig(workerProps);
        String kafkaClusterId = ConnectUtils.lookupKafkaClusterId(config);
        log.debug("Kafka cluster ID: {}", kafkaClusterId);
        RestServer rest = new RestServer(config);
        URI advertisedUrl = rest.advertisedUrl();
        String workerId = advertisedUrl.getHost() + ":" + advertisedUrl.getPort();
        KafkaOffsetBackingStore offsetBackingStore = new KafkaOffsetBackingStore();
        offsetBackingStore.configure(config);
        Worker worker = new Worker(workerId, time, plugins, config, offsetBackingStore);
        Converter internalValueConverter = worker.getInternalValueConverter();
        StatusBackingStore statusBackingStore = new KafkaStatusBackingStore(time, internalValueConverter);
        statusBackingStore.configure(config);
        ConfigBackingStore configBackingStore = new KafkaConfigBackingStore(internalValueConverter, config);
        DistributedHerder herder = new DistributedHerder(config, time, worker, kafkaClusterId, statusBackingStore, configBackingStore, advertisedUrl.toString());
        final Connect connect = new Connect(herder, rest);
        log.info("Kafka Connect distributed worker initialization took {}ms", time.hiResClockMs() - initStart);
        try {
            connect.start();
        } catch (Exception e) {
            log.error("Failed to start Connect", e);
            connect.stop();
            Exit.exit(3);
        }
        // Shutdown will be triggered by Ctrl-C or via HTTP shutdown request
        connect.awaitStop();
    } catch (Throwable t) {
        log.error("Stopping due to error", t);
        Exit.exit(2);
    }
}

Example 4 with RestServer

use of org.apache.kafka.connect.runtime.rest.RestServer in project kafka by apache.

the class ConnectDistributed method startConnect.

public Connect startConnect(Map<String, String> workerProps) {
    log.info("Scanning for plugin classes. This might take a moment ...");
    Plugins plugins = new Plugins(workerProps);
    plugins.compareAndSwapWithDelegatingLoader();
    DistributedConfig config = new DistributedConfig(workerProps);
    String kafkaClusterId = ConnectUtils.lookupKafkaClusterId(config);
    log.debug("Kafka cluster ID: {}", kafkaClusterId);
    RestServer rest = new RestServer(config);
    rest.initializeServer();
    URI advertisedUrl = rest.advertisedUrl();
    String workerId = advertisedUrl.getHost() + ":" + advertisedUrl.getPort();
    // Create the admin client to be shared by all backing stores.
    Map<String, Object> adminProps = new HashMap<>(config.originals());
    ConnectUtils.addMetricsContextProperties(adminProps, config, kafkaClusterId);
    SharedTopicAdmin sharedAdmin = new SharedTopicAdmin(adminProps);
    KafkaOffsetBackingStore offsetBackingStore = new KafkaOffsetBackingStore(sharedAdmin);
    offsetBackingStore.configure(config);
    ConnectorClientConfigOverridePolicy connectorClientConfigOverridePolicy = plugins.newPlugin(config.getString(WorkerConfig.CONNECTOR_CLIENT_POLICY_CLASS_CONFIG), config, ConnectorClientConfigOverridePolicy.class);
    Worker worker = new Worker(workerId, time, plugins, config, offsetBackingStore, connectorClientConfigOverridePolicy);
    WorkerConfigTransformer configTransformer = worker.configTransformer();
    Converter internalValueConverter = worker.getInternalValueConverter();
    StatusBackingStore statusBackingStore = new KafkaStatusBackingStore(time, internalValueConverter, sharedAdmin);
    statusBackingStore.configure(config);
    ConfigBackingStore configBackingStore = new KafkaConfigBackingStore(internalValueConverter, config, configTransformer, sharedAdmin);
    // Pass the shared admin to the distributed herder as an additional AutoCloseable object that should be closed when the
    // herder is stopped. This is easier than having to track and own the lifecycle ourselves.
    DistributedHerder herder = new DistributedHerder(config, time, worker, kafkaClusterId, statusBackingStore, configBackingStore, advertisedUrl.toString(), connectorClientConfigOverridePolicy, sharedAdmin);
    final Connect connect = new Connect(herder, rest);
    log.info("Kafka Connect distributed worker initialization took {}ms", time.hiResClockMs() - initStart);
    try {
        connect.start();
    } catch (Exception e) {
        log.error("Failed to start Connect", e);
        connect.stop();
        Exit.exit(3);
    }
    return connect;
}