"mappings" : {
      "job_log" : {
        "properties" : {
          "endTime" : {
            "type" : "long"
          },
          "jobName" : {
            "type" : "keyword"
          },
          "jobStatus" : {
            "type" : "keyword"
          },
          "lastUpdated" : {
            "type" : "long"
          },
          "scriptData" : {
            "type" : "keyword"
          },

    @Required
    public String jobName;

    /**
     * The execution status of the job.
     * This is a required field indicating success, failure, or running status.
     */
    @Required
    public String jobStatus;

    /**
     * The target or scope of the job execution.
     * This is a required field describing what the job operated on.
     */
    @Required
    public String target;

    /**

            doColumn("endTime");
        }

        public void columnJobName() {
            doColumn("jobName");
        }

        public void columnJobStatus() {
            doColumn("jobStatus");
        }

        public void columnLastUpdated() {
            doColumn("lastUpdated");
        }

        public void columnScriptData() {
            doColumn("scriptData");
        }

                                    <tr>
                                        <th><la:message key="labels.joblog_jobStatus"/></th>
                                        <td>${f:h(jobStatus)}<la:hidden property="jobStatus"/></td>
                                    </tr>
                                    <tr>
                                        <th><la:message key="labels.joblog_target"/></th>

    # o isTableNameCamelCase: (NotRequired - Default false)
    #  Is the table name camel case?
    #  Basically you don't need this if the style of table name is like 'FOO_STATUS'.
    #    [true]
    #      The table name is camel case.
    #      e.g. If the table name is 'OrderDetail', the class name is 'OrderDetail'.
    #
    #    [false]

            result.setEndTime(DfTypeUtil.toLong(source.get("endTime")));
            result.setJobName(DfTypeUtil.toString(source.get("jobName")));
            result.setJobStatus(DfTypeUtil.toString(source.get("jobStatus")));
            result.setLastUpdated(DfTypeUtil.toLong(source.get("lastUpdated")));
            result.setScriptData(DfTypeUtil.toString(source.get("scriptData")));

labels.allLanguages=All Languages
labels.dictId=Dictionary ID
labels.docId=Document ID
labels.endTime=End Time
labels.hq=hq
labels.inputs=Inputs
labels.jobLogging=Logging
labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=Language
labels.outputs=Outputs
labels.pos=Part-of-speech
labels.purgeJobLogDay=Delete old job logs
labels.purgeUserInfoDay=Delete old user logs

labels.webApiJson=JSON響應
labels.webConfigName=Web爬網配置名稱
labels.allLanguages=所有語言
labels.dictId=字典ID
labels.docId=文檔ID
labels.endTime=結束時間
labels.hq=hq
labels.inputs=輸入
labels.jobLogging=日誌記錄
labels.jobName=名稱
labels.jobStatus=狀態
labels.labelTypeIds=標籤
labels.lang=語言
labels.outputs=輸出
labels.pos=詞性
labels.purgeJobLogDay=刪除以前的作業日誌
labels.purgeUserInfoDay=刪除以前的使用者日誌
labels.reading=讀音
labels.roleTypeIds=角色ID

labels.allLanguages=Все языки
labels.dictId=ID словаря
labels.docId=ID документа
labels.endTime=Время окончания
labels.hq=hq
labels.inputs=Входы
labels.jobLogging=Ведение журнала
labels.jobName=Имя
labels.jobStatus=Статус
labels.labelTypeIds=Метки
labels.lang=Язык
labels.outputs=Выходы
labels.pos=Часть речи
labels.purgeJobLogDay=Удалить старые журналы заданий
labels.purgeUserInfoDay=Удалить старые журналы пользователей

labels.allLanguages=Toutes les langues
labels.dictId=ID du dictionnaire
labels.docId=ID du document
labels.endTime=Heure de fin
labels.hq=hq
labels.inputs=Entrées
labels.jobLogging=Journalisation
labels.jobName=Nom
labels.jobStatus=Statut
labels.labelTypeIds=Étiquettes
labels.lang=Langue
labels.outputs=Sorties
labels.pos=Partie du discours
labels.purgeJobLogDay=Supprimer les anciens journaux de tâches