} catch (final Exception e) {
            throw new SuggesterException("Failed to execute request: " + getClass().getSimpleName(), e);
        }
        return deferred.promise();
    }

    /**
     * Processes the request.
     * @param client The OpenSearch client.
     * @param deferred The Deferred object to resolve or reject the response.
     */
    protected abstract void processRequest(Client client, Deferred<T> deferred);

### 여러 프로세스 - 예시 { #multiple-processes-an-example }

이 예시에서는 **Manager Process**가 두 개의 **Worker Processes**를 시작하고 제어합니다.

이 Manager Process는 아마 IP의 **포트**에서 리스닝하는 역할을 합니다. 그리고 모든 통신을 워커 프로세스로 전달합니다.

워커 프로세스들이 실제로 애플리케이션을 실행하며, **요청**을 받아 **응답**을 반환하는 주요 연산을 수행하고, RAM에 변수로 로드한 모든 내용을 담습니다.

<img src="/img/deployment/concepts/process-ram.drawio.svg">

        }

        /**
         * Executes the crawling thread.
         * Sets the running flag, processes the data store, and ensures
         * proper cleanup regardless of success or failure.
         */
        @Override
        public void run() {
            running = true;
            try {
                process();
            } finally {
                running = false;
                finished = true;

            } catch (Exception e) {
                log.error("Error during witness unregistration", e);
            }
        });
    }

    /**
     * Processes a received witness notification.
     *
     * @param notification the notification to process
     */
    public void processNotification(WitnessNotification notification) {

        return sval;
    }

    /**
     * Advances to the next token.
     *
     * @return The type of the token.
     */
    public int nextToken() {
        initVal();
        if (processEOF()) {
            return ttype;
        }
        if (processWhitespace()) {
            return ttype;
        }
        if (processWord()) {
            return ttype;
        }

import java.net.HttpURLConnection.HTTP_UNAVAILABLE
import java.util.concurrent.BlockingQueue
import java.util.concurrent.LinkedBlockingQueue
import java.util.logging.Logger

/**
 * Default dispatcher that processes a script of responses. Populate the script by calling
 * [enqueue].
 */
public open class QueueDispatcher : Dispatcher() {
  protected val responseQueue: BlockingQueue<MockResponse> = LinkedBlockingQueue()

fi

OBJ_NAME=$(./mc ls myminio1/test-bucket --json | jq '.key' | sed 's/"//g')
if [[ ${OBJ_NAME} != "hosts" ]]; then
	echo "BUG: Expected object: hosts, Found: ${BKT_NAME}"
	exit 1
fi

# Finally kill running processes
pkill minio

        try {
            jobHelper.setJobRuntime(runtime);
            process(runtime);
        } finally {
            jobHelper.setJobRuntime(null);
        }
    }

    /**
     * Processes the job.
     * @param runtime The job runtime.
     */
    protected void process(final LaJobRuntime runtime) {
        if (!runtime.getParameterMap().containsKey(Constants.SCHEDULED_JOB)) {

         * The stream is automatically closed after the function is applied.
         *
         * @param <R> The type of the result returned by the function.
         * @param stream A function that processes the stream and produces a result.
         * @return The result produced by applying the function to the stream.
         */
        public <R> R get(final Function<Stream<T>, R> stream) {

C'est l'idée de base. Mais vous voudrez probablement vous occuper de certaines choses supplémentaires, comme :

* Sécurité - HTTPS
* Exécution au démarrage
* Redémarrages
* Réplication (le nombre de processus en cours d'exécution)
* Mémoire
* Étapes précédant le démarrage