#
# Example:
# map:{
#     # This means that String includes GreaterThan at MEMBER.MEMBER_ACCOUNT only
#     # and LessThan at PRODUCT.PRODUCT_NAME and PRODUCT.PRODUCT_HANDLE_CODE,
#     # and InScope for LONGVARCHAR(e.g. text type) is excluded.
#     ; String = map:{
#         ; GreaterThan = map:{ MEMBER = list:{ MEMBER_ACCOUNT } }
#         ; LessThan = map:{ PRODUCT = list:{ PRODUCT_NAME ; PRODUCT_HANDLE_CODE } }

create table DUMMY_MEMBER(
    MEMBER_ID INTEGER IDENTITY NOT NULL PRIMARY KEY,
    MEMBER_NAME VARCHAR(200) NOT NULL,
    MEMBER_ACCOUNT VARCHAR(50) NOT NULL,
    MEMBER_STATUS_CODE CHAR(3) NOT NULL,
    FORMALIZED_DATETIME DATETIME,
    BIRTHDATE DATE,
    REGISTER_DATETIME DATETIME NOT NULL,
    REGISTER_USER VARCHAR(200) NOT NULL,
    UPDATE_DATETIME DATETIME NOT NULL,
    UPDATE_USER VARCHAR(200) NOT NULL,
    VERSION_NO BIGINT NOT NULL

        // LDAP: cn=%s
        // AD: (&(objectClass=user)(sAMAccountName=%s))
        final String filter = String.format(accountFilter, ldapUser.getName());
        if (logger.isDebugEnabled()) {
            logger.debug("Account Filter: {}", filter);
        }
        final Set<String> subRoleSet = new HashSet<>();
        search(bindDn, filter, new String[] { fessConfig.getLdapMemberofAttribute() }, () -> ldapUser.getEnvironment(), result -> {

    public static final String LDAP_INITIAL_CONTEXT_FACTORY = "ldap.initial.context.factory";

    public static final String LDAP_ACCOUNT_FILTER = "ldap.account.filter";

    public static final String LDAP_GROUP_FILTER = "ldap.group.filter";

    public static final String LDAP_MEMBEROF_ATTRIBUTE = "ldap.memberof.attribute";

labels.search_result_sort_last_modified_asc=最終更新日時 (昇順)
labels.search_result_sort_last_modified_desc=最終更新日時 (降順)
labels.search_result_sort_click_count_asc=クリック数 (昇順)
labels.search_result_sort_click_count_desc=クリック数 (降順)
labels.search_result_sort_favorite_count_asc=お気に入り数 (昇順)
labels.search_result_sort_favorite_count_desc=お気に入り数 (降順)
labels.search_result_sort_multiple=複数
labels.search_result_size={0}バイト
labels.search_result_created=登録日時:

labels.searchlog_log_type_search_reqtimeavg_day=Request Time Avg. by Day
labels.searchlog_log_type_click_count=Click Count
labels.searchlog_log_type_favorite_count=Favorite Count
labels.searchlog_log_message=Message
labels.searchlog_requested_time=Time
labels.searchlog_value=Value
labels.searchlog_count=Count
labels.searchlog_configuration_details=Log Details
labels.searchlog_configuration_link_top=Search Log

    /** The key of the message: Click Count */
    public static final String LABELS_searchlog_log_type_click_count = "{labels.searchlog_log_type_click_count}";

    /** The key of the message: Favorite Count */
    public static final String LABELS_searchlog_log_type_favorite_count = "{labels.searchlog_log_type_favorite_count}";

    /** The key of the message: Message */

labels.search_result_sort_last_modified_desc=Letzte Änderung (absteigend)
labels.search_result_sort_click_count_asc=Klick-Anzahl (aufsteigend)
labels.search_result_sort_click_count_desc=Klick-Anzahl (absteigend)
labels.search_result_sort_favorite_count_asc=Favoriten-Anzahl (aufsteigend)
labels.search_result_sort_favorite_count_desc=Favoriten-Anzahl (absteigend)
labels.search_result_sort_multiple=Mehrere
labels.search_result_size={0} Bytes

data.offsets.popper = getClientRect(data.offsets.popper);\n\n  // compute center of the popper\n  const center = reference[side] + reference[len] / 2 - arrowElementSize / 2;\n\n  // Compute the sideValue using the updated popper offsets\n  // take popper margin in account because we don't have this info available\n  const css = getStyleComputedProperty(data.instance.popper);\n  const popperMarginSide = parseFloat(css[`margin${sideCapitalized}`], 10);\n  const popperBorderSide = parseFloat(css[`border${sideCapitalized}Width`],...

labels.search_result_sort_last_modified_desc	=	Dernière modification (décroissant)
labels.search_result_sort_click_count_asc	=	Clics (ascendant)
labels.search_result_sort_click_count_desc	=	Clics (descendant)
labels.search_result_sort_favorite_count_asc	=	Favori (croissant)
labels.search_result_sort_favorite_count_desc	=	Favori (décroissant)
labels.search_result_sort_multiple	=	Plusieurs
labels.search_result_size	=	{0} octets