{
    "properties": {
      "term": {
        "type": "keyword"
      },
      "queries": {
        "type": "keyword"
      },
      "virtualHost": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      }
    }

		"*" is a multiple character wildcard search.
		<pre>Fess*</pre>
		or
		<pre>Fe?s</pre>
	</dd>
	<dt>Range</dt>
	<dd>
		Range Queries allow one to match documents whose field(s) values are
		between the lower and upper bound specified by the Range Query. Range
		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values

      "related_query" : {
        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "queries" : {
            "type" : "keyword"
          },
          "term" : {
            "type" : "keyword"
          },
          "updatedBy" : {
            "type" : "keyword"
          },

import org.opensearch.search.aggregations.Aggregations;
import org.opensearch.search.fetch.subphase.highlight.HighlightField;

/**
 * Default implementation of RankFusionSearcher that performs standard OpenSearch queries.
 * This searcher handles query execution, response processing, and document highlighting.
 */
public class DefaultSearcher extends RankFusionSearcher {

    /** Logger for this class. */

    /** The total number of words in the suggest index. */
    public Long totalWordsNum;

    /** The number of words from documents. */
    public Long documentWordsNum;

    /** The number of words from search queries. */
    public Long queryWordsNum;

     */
    public FacetQueryView() {
        // Default constructor
    }

    /**
     * Initializes the facet query view with default file type queries.
     * This method is called after dependency injection to set up file type facets
     * and register all queries with the FacetInfo component.
     */
    @PostConstruct
    public void init() {

    // Request and Field Constants
    // ============================================================

    /** Request attribute key for storing queries. */
    public static final String REQUEST_QUERIES = "fess.Queries";

    /** Request attribute key for storing highlight queries. */
    public static final String HIGHLIGHT_QUERIES = "fess.HighlightQueries";

    /** Request attribute key for storing field logs. */

     */
    public String id;

    /**
     * Search term for the related query.
     */
    public String term;

    /**
     * Related queries string containing associated search queries.
     */
    public String queries;

    /**
     * User who created the related query entry.
     */
    public String createdBy;

    /**
     * Timestamp when the related query was created.
     */

import org.opensearch.index.query.QueryBuilder;

import jakarta.annotation.PostConstruct;

/**
 * Query processor component that handles query filters and commands.
 * This class provides a pipeline for processing Lucene queries by applying
 * a chain of filters and executing registered query commands.
 *
 * <p>The processor maintains a map of query commands indexed by query class names

        // PhraseQueryCommand returns DefaultQueryBuilder which wraps either Bool or DisMax
        assertTrue(result instanceof DefaultQueryBuilder);
        // The boost is applied internally to the wrapped queries, not necessarily to the DefaultQueryBuilder itself
    }

    public void test_execute_withBooleanQuery() {
        // Test executing BoostQuery with a BooleanQuery inside