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

 *       normalization, contents, and contents reading) for a specific field.</li>
 * </ul>
 *
 * @see SuggestAnalyzer
 * @see FieldAnalyzerMapping
 */
public class AnalyzerSettings {
    /** Analyzer name for reading. */
    public static final String READING_ANALYZER = "reading_analyzer";
    /** Analyzer name for reading term. */

{
    "properties": {
      "term": {
        "type": "keyword"
      },
      "content": {
        "type": "keyword"
      },
      "virtualHost": {
        "type": "keyword"
      },
      "sortOrder": {
        "type": "integer"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },

     *
     * @return the maximum alphanumeric term size
     */
    protected int getMaxAlphanumTermSize() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        return fessConfig.getCrawlerDocumentMaxAlphanumTermSizeAsInteger();
    }

    /**
     * Gets the maximum size for symbol terms from configuration.
     *
     * @return the maximum symbol term size
     */

a":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[],\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"search-term-rank","uiStateJSON":"{\"vis\":{\"params\":{\"sort\":{\"columnIndex\":null,\"direction\":null}}}}","version":1,"visState":"{\"title\":\"search-term-rank\",\"type\":\"table\",\"params\":{\"perPage\":10,\"showPartialRows\":false,\"showMetricsAtAllLevels\":false,\"sort\":{\"columnIndex\":null,\"direction\":null},\"showTotal...

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

labels.related_content_content=Content
labels.related_content_list_term=Term
labels.related_content_term=Term
labels.related_content_title_details=Related Content
labels.related_query_configuration=Related Query
labels.related_query_list_term=Term
labels.related_query_queries=Queries
labels.related_query_term=Term
labels.related_query_title_details=Related Query
labels.crud_button_create=Create

        int matchCount = 0;
        for (int i = 0; i < tokens.size(); i++) {
            final String term = tokens.get(i).getTerm();
            final String reading = readingTokens.get(i).getTerm();
            switch (term) {
            case "fess":
                matchCount++;
                assertEquals("fess", reading);
                break;
            case "検索":

* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.
* It has a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` interface.

* Você pode receber metadados do arquivo enviado.
* Ele tem uma <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> interface `assíncrona`.