* Get the value for the key 'crawler.document.max.site.length'. <br>
     * The value is, e.g. 100 <br>
     * comment: Maximum length of site name in documents.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCrawlerDocumentMaxSiteLength();

    /**
     * Get the value for the key 'crawler.document.max.site.length' as {@link Integer}. <br>

                    .maxExpansions(fessConfig.getQueryBoostFuzzyContentExpansionsAsInteger()));
        }
        return defaultQuery;
    }

    /**
     * Converts a site field query to a prefix query for site filtering.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param termQuery the term query to convert
     * @param boost the boost value to apply

  // PEM files for root certificates of Comodo and Entrust. These two CAs are sufficient to view
  // https://publicobject.com (Comodo) and https://squareup.com (Entrust). But they aren't
  // sufficient to connect to most HTTPS sites including https://godaddy.com and https://visa.com.
  // Typically developers will need to get a PEM file from their organization's TLS administrator.

                "{\"term\":{\"url\":{\"value\":\"aaa\",\"boost\":1.0}}}", //
                "url:aaa");
        assertQueryBuilder(PrefixQueryBuilder.class, //
                "{\"prefix\":{\"site\":{\"value\":\"aaa\",\"boost\":1.0}}}", //
                "site:aaa");

        assertQueryBuilder("{\"timestamp\":{\"order\":\"asc\"}}", "sort:timestamp");

    // Test with various field names
    public void test_convertFuzzyQuery_withVariousFields() {
        QueryContext context = new QueryContext("test", false);
        String[] fields = { "title", "content", "url", "site", "host", "mimetype" };

        for (String field : fields) {
            Term term = new Term(field, "fuzzy");
            FuzzyQuery fuzzyQuery = new FuzzyQuery(term);

        }
        buf.append(segment);
        return buf.toString();
    }

    /**
     * Gets the site path for display purposes.
     * Extracts and formats the site path from document URL.
     *
     * @param docMap the document data map
     * @return the formatted site path
     */
    public Object getSitePath(final Map<String, Object> docMap) {

  ).int()
    .default(DEFAULT_TIMEOUT)

  val followRedirects: Boolean by option("-L", "--location").help("Follow redirects").flag()

  val allowInsecure: Boolean by option("-k", "--insecure").help("Allow connections to SSL sites without certs").flag()

  val showHeaders: Boolean by option("-i", "--include").help("Include protocol headers in the output").flag()

  val showHttp2Frames: Boolean by option("--frames").help("Log HTTP/2 frames to STDERR").flag()

<h2>검색방법</h2>
<dl>
	<dt>필드 지정 검색</dt>
	<dd>
		필드 이름 뒤에 콜론 :에 지정된 모든 필드에서 검색 할 수 있습니다.
		예를 들어, 문서의 title 필드에서 Fess가 포함 된 문서를 검색하려면 다음과 같이 입력합니다.
		<pre>title:Fess</pre>
		기본으로 사용 가능한 필드는 url, host, site, title content,
		content_length, last_modified 및 mimetype입니다.
		설정에서 지정하는 필드는 변경할 수 있습니다.
	</dd>
	<dt>정렬</dt>
	<dd>
		sort 연산자는 지정된 필드 이름으로 문서를 정렬합니다.
		sort 연산자의 사용 방법은 sort:&lt;field&gt;.&lt;order&gt;입니다.

      },
      "label": {
        "type": "keyword"
      },
      "virtual_host": {
        "type": "keyword"
      },
      "segment": {
        "type": "keyword"
      },
      "site": {
        "type": "keyword"
      },
      "title": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",

            @Override
            public String getIndexFieldHost() {
                return "host";
            }

            @Override
            public String getIndexFieldSite() {
                return "site";
            }

            @Override
            public String getIndexFieldLastModified() {
                return "last_modified";
            }

            @Override