### Containers with Multiple Processes and Special Cases { #containers-with-multiple-processes-and-special-cases }

Of course, there are **special cases** where you could want to have **a container** with several **Uvicorn worker processes** inside.

In those cases, you can use the `--workers` command line option to set the number of workers that you want to run:

     * Continuously processes crawled documents from the data service, transforms them,
     * and updates the search index until crawling is finished and all documents are processed.
     *
     * <p>The method performs the following operations in a loop:
     * <ul>
     * <li>Retrieves access results from the data service</li>
     * <li>Processes each document through transformers</li>

     * @param {number} options.progressLength - Number of characters displayed as progress bar.
     * @param {string} options.progressChar – Character to use for progress bar, defaults to █.
	 * @param {number} options.progressPercent - Max percent of progress.
     * @param {string} options.cursor – Character to use for cursor, defaults to ▋.

 * bytes in length.
 *
 * The cache stores its data in a directory on the filesystem. This directory must be exclusive to
 * the cache; the cache may delete or overwrite files from its directory. It is an error for
 * multiple processes to use the same cache directory at the same time.
 *
 * This cache limits the number of bytes that it will store on the filesystem. When the number of

}

// newProgressMessage - creates new Progress Message. S3 periodically sends this message, if requested.
// It contains information about the progress of a query that has started but has not yet completed.
//
// Header specification:
// Progress messages contain three headers, as follows:
// https://docs.aws.amazon.com/AmazonS3/latest/API/images/s3select-frame-diagram-progress.png
//
// Payload specification:

* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

     */
    DISCONNECTED(0),

    /**
     * Connection establishment in progress
     */
    CONNECTING(1),

    /**
     * Authentication in progress
     */
    AUTHENTICATING(2),

    /**
     * Channel is established and ready for use
     */
    ESTABLISHED(3),

    /**
     * Channel binding in progress
     */
    BINDING(4),

    /**
     * Channel is actively transferring data

		rcfg:         replicationConfig{Config: &configs[0]},
		expectedSync: false,
	},
	{ // 4. existing object replication enabled, versioning enabled; no reset in progress
		name: "existing object replication enabled, versioning enabled; no reset in progress",
		info: ObjectInfo{
			Size:              100,
			ReplicationStatus: replication.Completed,
			VersionID:         "a3348c34-c352-4498-82f0-1098e8b34df9",
		},

     *
     * @return the ingest factory instance
     */
    protected IngestFactory getIngestFactory() {
        return ComponentUtil.getIngestFactory();
    }

    /**
     * Processes a result data object for web/file crawling.
     * Default implementation returns the target unchanged.
     *
     * @param target the result data to process
     * @param responseData the response data from crawling

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**