## Репликация — процессы и память { #replication-processes-and-memory }

В приложении FastAPI, используя серверную программу (например, команду `fastapi`, которая запускает Uvicorn), запуск в **одном процессе** уже позволяет обслуживать нескольких клиентов одновременно.

Но во многих случаях вы захотите одновременно запустить несколько процессов‑воркеров.

### Несколько процессов — Воркеры { #multiple-processes-workers }

            ((HttpsURLConnection) connection).setSSLSocketFactory(sslSocketFactory);
        }
        return connection;
    }

    /**
     * Executes the request and processes the response.
     *
     * @param actionListener the action listener for handling the response
     * @param exceptionListener the exception listener for handling exceptions
     */

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

### Contenedores con Múltiples Procesos y Casos Especiales { #containers-with-multiple-processes-and-special-cases }

Por supuesto, hay **casos especiales** donde podrías querer tener **un contenedor** con varios **worker processes de Uvicorn** dentro.

En esos casos, puedes usar la opción de línea de comandos `--workers` para establecer el número de workers que deseas ejecutar:

    protected AccessResult<?> createAccessResult(final ResponseData responseData, final ResultData resultData) {
        return super.createAccessResult(responseData, ingest(responseData, resultData));
    }

    /**
     * Processes the result data through all available ingesters.
     * Each ingester can transform and enrich the data before it is indexed.
     *
     * @param responseData the response data from the crawled resource

import org.codelibs.fess.Constants;
import org.codelibs.fess.exception.QueryParseException;
import org.lastaflute.web.util.LaRequestUtil;

import jakarta.annotation.PostConstruct;

/**
 * A query parser that processes search queries and converts them to Lucene Query objects.
 * This class provides a flexible architecture using a chain of filters to process and transform
 * queries before they are parsed by the underlying Lucene query parser.
 *

playsql    : Directory for ReplaceSchema task
schema     : Directory for files of schema info
- - - - - - - - - -/

The files, _project.bat, _project.sh, build.properties
are for internal processes of DBFlute tasks so basically

        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        fessConfig.getApiCorsAllowOriginList().forEach(s -> factory.add(s, this));
    }

    /**
     * Processes the CORS request by adding standard CORS headers to the response.
     * Headers include allowed origin, methods, headers, max age, and credentials setting.
     *
     * @param origin the origin of the request

            override fun beforeSuite(suite: TestDescriptor) {
                if (suite.parent == null) {
                    forEachJavaProcess { pid, _ ->
                        // processes that exist before the test suite execution should
                        // not trigger a warning
                        daemonPids += pid
                    }
                }
            }

 * </ul>
 *
 * <p>The main components are:</p>
 * <ul>
 *   <li>{@link org.apache.maven.api.cli.Invoker} - Base interface for executing Maven tools</li>
 *   <li>{@link org.apache.maven.api.cli.Parser} - Processes command-line arguments into invoker requests</li>
 *   <li>{@link org.apache.maven.api.cli.Options} - Represents Maven configuration options</li>