* into a ResultData object, and for retrieving the binary data from an AccessResultData object.
 * It extends the AbstractTransformer class.
 *
 * <p>
 * This transformer extracts the binary content from the response body of a web resource,
 * stores it as a byte array in the ResultData, and provides a method to retrieve this data
 * as a ByteArrayInputStream.
 * </p>
 *
 * <p>

 * <li>{@link #ANALYZER_SETTINGS_CONTENTS_ANALYZER} - The contents analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_CONTENTS_READING_ANALYZER} - The contents reading analyzer settings field.</li>
 * </ul>
 *
 * This class cannot be instantiated.
 */
public final class FieldNames {
    /** The unique identifier field. */
    public static final String ID = "_id";
    /** The text content field. */

```

## 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()

import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.fess.crawler.service.impl.OpenSearchDataService;
import org.lastaflute.di.core.SingletonLaContainer;
import org.opensearch.core.xcontent.ToXContent;
import org.opensearch.core.xcontent.XContentBuilder;

/**
 * OpenSearchAccessResult is an implementation of {@link AccessResult} for OpenSearch.
 *
 * @author shinsuke
 *
 */

        ElevateWord elevateWord2 =
                new ElevateWord("hoge", 2.0f, Collections.singletonList("hoge"), Collections.singletonList("content"), null, null);
        ElevateWord elevateWord3 =
                new ElevateWord("fuga", 2.0f, Collections.singletonList("fuga"), Collections.singletonList("content"), null, null);

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

import java.util.List;
import java.util.Map;

import org.codelibs.fess.suggest.analysis.SuggestAnalyzer;
import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.entity.SuggestItem;
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;
import org.codelibs.fess.suggest.normalizer.Normalizer;

/**

    }

    /**
     * Gets the output content from the converted file.
     *
     * @param outputFile the converted output file
     * @param outExt the output file extension
     * @return the extracted text content
     * @throws ExtractException if an error occurs while reading the file
     */
    protected String getOutputContent(final File outputFile, final String outExt) {

        String extention;
        String content;
        if (File.separator.equals("/")) {
            // Unix
            extention = ".sh";
            content = "#!/bin/bash\nsleep " + sleep + ";cp $1 $2";
        } else {
            // Windows
            extention = ".bat";
            content = "ping localhost -n " + sleep + "\r\ncopy %1 %2";
        }
        File file;

        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;
        String field = "content";
        String lang = "en";

 * This extractor can extract text content from files within LHA archives
 * by using appropriate extractors for each contained file type.
 *
 * @author shinsuke
 */
public class LhaExtractor extends AbstractExtractor {
    /** Logger for this class. */
    private static final Logger logger = LogManager.getLogger(LhaExtractor.class);

    /** Maximum content size for extraction. -1 means no limit. */