}

    /**
     * Indexes documents from an array of maps.
     * @param documents The documents to index.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse indexFromDocument(final Map<String, Object>[] documents) {
        final long start = System.currentTimeMillis();
        try {
            final Stream<Map<String, Object>> stream = Stream.of(documents);
            if (parallel) {

 * reader.setScrollSize(1000); // Set the scroll size
 * reader.setLimitOfDocumentSize(1024 * 1024); // Limit document size to 1MB
 * reader.setQuery(QueryBuilders.termQuery("field", "value")); // Set a query
 *
 * Map<String, Object> document;
 * while ((document = reader.read()) != null) {
 *     // Process the document
 *     System.out.println(document);
 * }
 *
 * reader.close(); // Close the reader to release resources
 * }
 * </pre>
 */

 */
package org.codelibs.fess.suggest.index.contents.document;

import java.io.Closeable;
import java.util.Map;

/**
 * Interface for reading documents and extracting their contents into a map.
 * Implementations of this interface should provide the logic for reading
 * documents and converting them into a key-value structure.
 *

 * This class contains information about the number of suggest documents,
 * the number of input documents, any errors that occurred during the operation,
 * and the time taken to complete the operation.
 */
public class SuggestIndexResponse implements Response {
    /** The number of suggest documents. */
    protected final int numberOfSuggestDocs;
    /** The number of input documents. */
    protected final int numberOfInputDocs;

    /**
     * Deletes documents from the specified index based on the given query.
     *
     * @param client the OpenSearch client to use for the operation
     * @param settings the suggest settings to apply
     * @param index the name of the index from which documents will be deleted
     * @param queryBuilder the query that defines which documents to delete

    }

    /**
     * Extracts text from embedded documents in the PDF.
     * @param document the PDF document
     * @param writer the writer to append extracted text to
     */
    protected void extractEmbeddedDocuments(final PDDocument document, final StringWriter writer) {
        final PDDocumentNameDictionary namesDictionary = new PDDocumentNameDictionary(document.getDocumentCatalog());

```

## Advanced Usage

### Index from Existing Documents

```java
import org.codelibs.fess.suggest.index.contents.document.ESSourceReader;

// Index suggestions from existing Elasticsearch documents
DocumentReader reader = new ESSourceReader(
    client,
    suggester.settings(),
    "content-index",        // source index
    "document"             // document type
);

suggester.indexer()

        }
    }

    /**
     * Checks if a document exists in the OpenSearch index for the given session ID and URL.
     *
     * @param sessionId The session ID of the document.
     * @param url The URL of the document.
     * @return true if the document exists, false otherwise.
     * @throws OpenSearchAccessException if the existence check fails.
     */

- **SMB/CIFS**: Windows network shares
- **Storage**: Cloud storage systems (MinIO, S3-compatible)

### Content Formats

#### Office Documents
- Microsoft Office (Word, Excel, PowerPoint)
- OpenOffice/LibreOffice documents
- RTF, WordPerfect

#### PDFs and Images
- PDF documents (text and metadata extraction)
- Images (JPEG, PNG, GIF, TIFF, BMP)
- Image metadata (EXIF, IPTC, XMP)

#### Archives and Compressed Files

 * as well as the alt and title attributes.
 * </p>
 * <p>
 * The class uses {@link DOMParser} to parse HTML documents and {@link XPathAPI} to execute XPath queries.
 * It also provides methods to add custom features and properties to the {@link DOMParser}.
 * </p>
 * <p>