* <li>{@link #QUERY_FREQ} - The query frequency field.</li>
 * <li>{@link #DOC_FREQ} - The document frequency field.</li>
 * <li>{@link #USER_BOOST} - The user boost field.</li>
 * <li>{@link #KINDS} - The kinds field.</li>
 * <li>{@link #TIMESTAMP} - The timestamp field.</li>
 * <li>{@link #TAGS} - The tags field.</li>
 * <li>{@link #ROLES} - The roles field.</li>
 * <li>{@link #FIELDS} - The fields field.</li>

    public static final String ELEVATE_WORD_BOOST = "boost";
    /** Key for elevate word reading. */
    public static final String ELEVATE_WORD_READING = "reading";
    /** Key for elevate word fields. */
    public static final String ELEVATE_WORD_FIELDS = "fields";
    /** Key for elevate word tags. */
    public static final String ELEVATE_WORD_TAGS = "tags";
    /** Key for elevate word roles. */

    /**
     * Field name for ID.
     */
    public static final String ID = "id";

    /**
     * Field name for transformer name.
     */
    public static final String TRANSFORMER_NAME = "transformerName";

    /**
     * Field name for data.
     */
    public static final String DATA = "data";

    /**
     * Field name for encoding.
     */

     * @param role The role.
     */
    public void addRole(final String role) {
        roles.add(role);
    }

    /**
     * Adds a field to filter by.
     * @param field The field name.
     */
    public void addField(final String field) {
        fields.add(field);
    }

    /**
     * Adds a kind to filter by.
     * @param kind The kind.
     */
    public void addKind(final String kind) {

 * </ul>
 *
 * <p>Fields:
 * <ul>
 * <li>{@link #logger} - Logger instance.
 * <li>{@link #client} - OpenSearch client.
 * <li>{@link #index} - Index name.
 * <li>{@link #settings} - Suggest settings.
 * <li>{@link #supportedFields} - Supported fields for suggestions.
 * <li>{@link #tagFieldNames} - Tag field names.
 * <li>{@link #roleFieldName} - Role field name.

      }
    }
  ],
  "properties": {
    "@timestamp": {
      "type": "date",
      "format": "epoch_millis"
    },
    "docFreq": {
      "type": "long"
    },
    "fields": {
      "type": "keyword"
    },
    "kinds": {
      "type": "keyword"
    },
    "queryFreq": {
      "type": "long"
    },
    "roles": {
      "type": "keyword"
    },
    "languages": {

 * String normalizedText = chain.normalize("input text", "field", "en");
 * </pre>
 *
 * <p>Methods:</p>
 * <ul>
 *   <li>{@link #normalize(String, String, String...)} - Applies all added normalizers to the input text.</li>
 *   <li>{@link #add(Normalizer)} - Adds a new normalizer to the chain.</li>
 * </ul>
 *
 * <p>Fields:</p>
 * <ul>

                    if (limitOfDocumentSize > 0) {
                        long size = 0;
                        for (final String field : supportedFields) {
                            final Object value = source.get(field);
                            if (value != null) {
                                size += value.toString().length();
                            }
                        }

     * @param key the field name to match against
     * @param regex the regular expression pattern
     */
    public void addRule(final String key, final String regex) {
        regexMap.put(key, Pattern.compile(regex));
    }

    /**
     * Adds a compiled regular expression rule for the specified field.
     * @param key the field name to match against

        return analyzerSettingsIndexName;
    }

    /**
     * Returns the name of the reading analyzer for a given field and language.
     * @param field The field name.
     * @param lang The language.
     * @return The reading analyzer name.
     */
    public String getReadingAnalyzerName(final String field, final String lang) {