Guillaume Nodet <******@****.***> 1725988727 +0200

        return processResponse(searchResponseOpt);
    }

    /**
     * Processes the OpenSearch response and converts it to a SearchResult.
     *
     * @param searchResponseOpt the optional search response from OpenSearch
     * @return the processed search result
     */
    protected SearchResult processResponse(final OptionalEntity<SearchResponse> searchResponseOpt) {

Elas tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem executar tarefas em segundo plano em vários processos e, especialmente, em vários servidores.

    protected String defaultField = null;

    /**
     * Constructs a new QueryContext with the specified query string.
     * Processes special query prefixes (allinurl:, allintitle:) and initializes
     * request-scoped attributes for highlighting and field logging.
     * @param queryString The query string to process.
     * @param isQuery Whether this is a search query (enables highlighting and logging).
     */
    @SuppressWarnings("unchecked")

   *
   * @param file the file to read
   * @param processor the object to which the bytes of the file are passed.
   * @return the result of the byte processor
   * @throws IOException if an I/O error occurs
   * @deprecated Prefer {@code asByteSource(file).read(processor)}.
   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asByteSource(file).read(processor)",
      imports = "com.google.common.io.Files")

        /** Indicates that a URL was prepared for crawling. */
        PREPARED,
        /** Indicates that a URL redirect was encountered. */
        REDIRECTED,
        /** Indicates that a URL was processed completely. */
        PROCESSED
    }

process-ram.drawio.svg...

This is still true.

So, to be able to have **multiple processes** at the same time, there has to be a **single process listening on a port** that then transmits the communication to each worker process in some way.

### Memory per Process { #memory-per-process }

  /** Number of bytes to be filled before process() invocation(s). */
  private final int bufferSize;

  /** Number of bytes processed per process() invocation. */
  private final int chunkSize;

  /**
   * Constructor for use by subclasses. This hasher instance will process chunks of the specified
   * size.
   *
   * @param chunkSize the number of bytes available per {@link #process(ByteBuffer)} invocation;
   *     must be at least 4

        gradlew --> daemon
        tapi --> daemon
        
        worker["Worker process"]
        daemon --> worker

        worker2["Worker process"]
        daemon --> worker2

        worker3["Worker process"]
        daemon --> worker3
    
```

These are all Java processes. Each process has a corresponding "runtime".
All source code in Gradle is written to target one or more of these runtimes.