}

    }

    /**
     * Processes a list of access results and converts them into indexable documents.
     * Each access result is transformed into a document map and added to the document list.
     *
     * @param docList the document list to add processed documents to
     * @param accessResultList the list to track processed access results for cleanup

```

## 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()

        // Execute commit
        indexUpdateCallback.commit();

        // Verify documents were sent
        assertEquals(1, indexingHelper.sendDocumentsCalled);
        assertEquals(0, indexUpdateCallback.docList.size());
    }

    public void test_commit_withEmptyCache() {
        // Execute commit with no documents
        indexUpdateCallback.commit();

        // Verify no indexing happened

    public void test_execute_success() {
        String result = updateLabelJob.execute();
        assertNotNull(result);
        assertTrue(result.contains("3 docs")); // 3 documents processed
        assertFalse(result.contains("exception"));
    }

    // Test execute() method with query builder
    public void test_execute_withQueryBuilder() {

- **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

    }

    public void test_builder_withDocuments() {
        // Test builder with adding documents
        Map<String, Object> doc1 = new HashMap<>();
        doc1.put("id", "1");
        doc1.put("title", "Document 1");

        Map<String, Object> doc2 = new HashMap<>();
        doc2.put("id", "2");
        doc2.put("title", "Document 2");

        List<Map<String, Object>> documents = new ArrayList<>();
        for (int i = 11; i <= 20; i++) {
            Map<String, Object> doc = new HashMap<>();
            doc.put("id", String.valueOf(i));
            doc.put("title", "Document " + i);
            doc.put("score", 1.0 - (i * 0.01));
            documents.add(doc);
        }
        searchRenderData.setDocumentItems(documents);

        }
        return count;
    }

    /**
     * Deletes documents in an index matching a query.
     *
     * @param index        the index name
     * @param queryBuilder the query to match documents for deletion
     * @return the number of documents deleted
     */
    public long deleteByQuery(final String index, final QueryBuilder queryBuilder) {

            @Override
            public void commit() {
                documentsBeforeCommit.set(docCount);
                commitCount.incrementAndGet();
            }
        };

        // Store some documents
        DataStoreParams params = new DataStoreParams();
        Map<String, Object> data = new HashMap<>();

        callback.store(params, data);
        callback.store(params, data);

import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

/**
 * Query command for match all documents query.
 */
public class MatchAllQueryCommand extends QueryCommand {

    /**
     * Default constructor.
     */
    public MatchAllQueryCommand() {
        super();
    }