doColumn("createdTime");
        }

        public void columnSortOrder() {
            doColumn("sortOrder");
        }

        public void columnTerm() {
            doColumn("term");
        }

        public void columnUpdatedBy() {
            doColumn("updatedBy");
        }

        public void columnUpdatedTime() {
            doColumn("updatedTime");
        }

            doColumn("createdTime");
        }

        public void columnQueries() {
            doColumn("queries");
        }

        public void columnTerm() {
            doColumn("term");
        }

        public void columnUpdatedBy() {
            doColumn("updatedBy");
        }

        public void columnUpdatedTime() {
            doColumn("updatedTime");
        }

        RenderDataUtil.register(data, "relatedQueryItems", relatedQueryService.getRelatedQueryList(relatedQueryPager)); // page navi

        // restore from pager
        copyBeanToBean(relatedQueryPager, form, op -> op.include("term", "queries"));
    }

    // ===================================================================================
    //                                                                        Edit Execute

 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text
 * normalization process, including setting initial buffer capacity, maximum term sizes,
 * duplicate term removal, and custom space characters.
 *
 * <p>Example usage:
 * <pre>{@code
 * Reader reader = new StringReader("Example text to normalize.");
 * String normalizedText = TextUtil.normalizeText(reader)

* Sie können Metadaten aus der hochgeladenen Datei auslesen.
* Es hat eine <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">dateiartige</a> `async`hrone Schnittstelle.

    }

    private static String parse(String rule, Set<String> dup) {
        String[] values = CSVUtil.parse(rule);
        if (dup.add(values[0]) == false) {
            throw new IllegalArgumentException("Found duplicate term [" + values[0] + "] in user dictionary.");
        }
        return rule;
    }

    public static UserDictionary getUserDictionary(Environment env, Settings settings) {

* "스풀 파일"을 사용합니다.
    *  최대 크기 제한까지만 메모리에 저장되며, 이를 초과하는 경우 디스크에 저장됩니다.
* 따라서 이미지, 동영상, 큰 이진코드와 같은 대용량 파일들을 많은 메모리를 소모하지 않고 처리하기에 적합합니다.
* 업로드 된 파일의 메타데이터를 얻을 수 있습니다.
* <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a>  `async` 인터페이스를 갖고 있습니다.

	xnet "github.com/minio/pkg/v3/net"
	"golang.org/x/term"
)

// serverDebugLog will enable debug printing
var (
	serverDebugLog     = env.Get("_MINIO_SERVER_DEBUG", config.EnableOff) == config.EnableOn
	currentReleaseTime time.Time
	orchestrated       = IsKubernetes() || IsDocker()
)

func init() {
	if !term.IsTerminal(int(os.Stdout.Fd())) || !term.IsTerminal(int(os.Stderr.Fd())) {
		color.TurnOff()
	}

         * The decoded name of the field.
         */
        protected String name;

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */

   * currently skipping MediumTests on Android, and we skip them by not making them present at
   * runtime at all. I could just make _this_ test a MediumTest, but then it wouldn't run on
   * Android.... The right long-term fix is probably to get MediumTests running under Android by
   * default and then suppress them strategically as needed.
   */
  public static final class ConcretePackageSanityTests extends AbstractPackageSanityTests {}