我们有一个MySQL InnoDB表,其中有一个文本字段COLLATE utf8mb4_unicode_ci。我需要搜索包含任何表情符号的行。我已经搜索了很多SO问题,但人们似乎有一个他们正在搜索的表情符号列表。我实际上正在寻找一个解决方案,将找到任何表情符号。Herearesome没有帮助的帖子。This one似乎最接近于实际提供我正在寻找的东西,但OP实际上并没有发布他的搜索代码。谢谢!
COLLATE utf8mb4_unicode_ci
i2loujxw1#
我遇到过这样的情况,数据库从一台服务器迁移到另一台服务器导致emoji消失。因此,我必须找到原始表中包含高utf8(emoji)字符的所有行。此查询按预期工作:
SELECT field FROM `table` WHERE HEX(field) RLIKE "^(..)*F.";
在做任何事情之前,检查你是否在你的数据库,表和连接上使用utf8mb4:
SHOW VARIABLES WHERE Variable_name LIKE 'character\_set\_%' OR Variable_name LIKE 'collation%'; +--------------------------+--------------------+ | Variable_name | Value | +--------------------------+--------------------+ | character_set_client | utf8mb4 | | character_set_connection | utf8mb4 | | character_set_database | utf8mb4 | | character_set_filesystem | binary | | character_set_results | utf8mb4 | | character_set_server | utf8mb4 | | character_set_system | utf8 | | collation_connection | utf8mb4_unicode_ci | | collation_database | utf8mb4_unicode_ci | | collation_server | utf8mb4_unicode_ci | +--------------------------+--------------------+
gkl3eglg2#
这可能工作吗?直接在mysql中使用mysqlUDF存储库中的lib_mysqludf_preg库来处理PCRE正则表达式[\x{23}\x{2A}\x{30}-\x{39}\x{A9}\x{AE}\x{203C}\x{2049}\x{2122}\x{2139}\x{2194}-\x{2199}\x{21A9}-\x{21AA}\x{231A}-\x{231B}\x{2328}\x{23CF}\x{23E9}-\x{23F3}\x{23F8}-\x{23FA}\x{24C2}\x{25AA}-\x{25AB}\x{25B6}\x{25C0}\x{25FB}-\x{25FE}\x{2600}-\x{2604}\x{260E}\x{2611}\x{2614}-\x{2615}\x{2618}\x{261D}\x{2620}\x{2622}-\x{2623}\x{2626}\x{262A}\x{262E}-\x{262F}\x{2638}-\x{263A}\x{2640}\x{2642}\x{2648}-\x{2653}\x{2660}\x{2663}\x{2665}-\x{2666}\x{2668}\x{267B}\x{267F}\x{2692}-\x{2697}\x{2699}\x{269B}-\x{269C}\x{26A0}-\x{26A1}\x{26AA}-\x{26AB}\x{26B0}-\x{26B1}\x{26BD}-\x{26BE}\x{26C4}-\x{26C5}\x{26C8}\x{26CE}-\x{26CF}\x{26D1}\x{26D3}-\x{26D4}\x{26E9}-\x{26EA}\x{26F0}-\x{26F5}\x{26F7}-\x{26FA}\x{26FD}\x{2702}\x{2705}\x{2708}-\x{270D}\x{270F}\x{2712}\x{2714}\x{2716}\x{271D}\x{2721}\x{2728}\x{2733}-\x{2734}\x{2744}\x{2747}\x{274C}\x{274E}\x{2753}-\x{2755}\x{2757}\x{2763}-\x{2764}\x{2795}-\x{2797}\x{27A1}\x{27B0}\x{27BF}\x{2934}-\x{2935}\x{2B05}-\x{2B07}\x{2B1B}-\x{2B1C}\x{2B50}\x{2B55}\x{3030}\x{303D}\x{3297}\x{3299}\x{1F004}\x{1F0CF}\x{1F170}-\x{1F171}\x{1F17E}-\x{1F17F}\x{1F18E}\x{1F191}-\x{1F19A}\x{1F1E6}-\x{1F1FF}\x{1F201}-\x{1F202}\x{1F21A}\x{1F22F}\x{1F232}-\x{1F23A}\x{1F250}-\x{1F251}\x{1F300}-\x{1F321}\x{1F324}-\x{1F393}\x{1F396}-\x{1F397}\x{1F399}-\x{1F39B}\x{1F39E}-\x{1F3F0}\x{1F3F3}-\x{1F3F5}\x{1F3F7}-\x{1F4FD}\x{1F4FF}-\x{1F53D}\x{1F549}-\x{1F54E}\x{1F550}-\x{1F567}\x{1F56F}-\x{1F570}\x{1F573}-\x{1F57A}\x{1F587}\x{1F58A}-\x{1F58D}\x{1F590}\x{1F595}-\x{1F596}\x{1F5A4}-\x{1F5A5}\x{1F5A8}\x{1F5B1}-\x{1F5B2}\x{1F5BC}\x{1F5C2}-\x{1F5C4}\x{1F5D1}-\x{1F5D3}\x{1F5DC}-\x{1F5DE}\x{1F5E1}\x{1F5E3}\x{1F5E8}\x{1F5EF}\x{1F5F3}\x{1F5FA}-\x{1F64F}\x{1F680}-\x{1F6C5}\x{1F6CB}-\x{1F6D2}\x{1F6E0}-\x{1F6E5}\x{1F6E9}\x{1F6EB}-\x{1F6EC}\x{1F6F0}\x{1F6F3}-\x{1F6F6}\x{1F910}-\x{1F91E}\x{1F920}-\x{1F927}\x{1F930}\x{1F933}-\x{1F93A}\x{1F93C}-\x{1F93E}\x{1F940}-\x{1F945}\x{1F947}-\x{1F94B}\x{1F950}-\x{1F95E}\x{1F980}-\x{1F991}\x{1F9C0}]
[\x{23}\x{2A}\x{30}-\x{39}\x{A9}\x{AE}\x{203C}\x{2049}\x{2122}\x{2139}\x{2194}-\x{2199}\x{21A9}-\x{21AA}\x{231A}-\x{231B}\x{2328}\x{23CF}\x{23E9}-\x{23F3}\x{23F8}-\x{23FA}\x{24C2}\x{25AA}-\x{25AB}\x{25B6}\x{25C0}\x{25FB}-\x{25FE}\x{2600}-\x{2604}\x{260E}\x{2611}\x{2614}-\x{2615}\x{2618}\x{261D}\x{2620}\x{2622}-\x{2623}\x{2626}\x{262A}\x{262E}-\x{262F}\x{2638}-\x{263A}\x{2640}\x{2642}\x{2648}-\x{2653}\x{2660}\x{2663}\x{2665}-\x{2666}\x{2668}\x{267B}\x{267F}\x{2692}-\x{2697}\x{2699}\x{269B}-\x{269C}\x{26A0}-\x{26A1}\x{26AA}-\x{26AB}\x{26B0}-\x{26B1}\x{26BD}-\x{26BE}\x{26C4}-\x{26C5}\x{26C8}\x{26CE}-\x{26CF}\x{26D1}\x{26D3}-\x{26D4}\x{26E9}-\x{26EA}\x{26F0}-\x{26F5}\x{26F7}-\x{26FA}\x{26FD}\x{2702}\x{2705}\x{2708}-\x{270D}\x{270F}\x{2712}\x{2714}\x{2716}\x{271D}\x{2721}\x{2728}\x{2733}-\x{2734}\x{2744}\x{2747}\x{274C}\x{274E}\x{2753}-\x{2755}\x{2757}\x{2763}-\x{2764}\x{2795}-\x{2797}\x{27A1}\x{27B0}\x{27BF}\x{2934}-\x{2935}\x{2B05}-\x{2B07}\x{2B1B}-\x{2B1C}\x{2B50}\x{2B55}\x{3030}\x{303D}\x{3297}\x{3299}\x{1F004}\x{1F0CF}\x{1F170}-\x{1F171}\x{1F17E}-\x{1F17F}\x{1F18E}\x{1F191}-\x{1F19A}\x{1F1E6}-\x{1F1FF}\x{1F201}-\x{1F202}\x{1F21A}\x{1F22F}\x{1F232}-\x{1F23A}\x{1F250}-\x{1F251}\x{1F300}-\x{1F321}\x{1F324}-\x{1F393}\x{1F396}-\x{1F397}\x{1F399}-\x{1F39B}\x{1F39E}-\x{1F3F0}\x{1F3F3}-\x{1F3F5}\x{1F3F7}-\x{1F4FD}\x{1F4FF}-\x{1F53D}\x{1F549}-\x{1F54E}\x{1F550}-\x{1F567}\x{1F56F}-\x{1F570}\x{1F573}-\x{1F57A}\x{1F587}\x{1F58A}-\x{1F58D}\x{1F590}\x{1F595}-\x{1F596}\x{1F5A4}-\x{1F5A5}\x{1F5A8}\x{1F5B1}-\x{1F5B2}\x{1F5BC}\x{1F5C2}-\x{1F5C4}\x{1F5D1}-\x{1F5D3}\x{1F5DC}-\x{1F5DE}\x{1F5E1}\x{1F5E3}\x{1F5E8}\x{1F5EF}\x{1F5F3}\x{1F5FA}-\x{1F64F}\x{1F680}-\x{1F6C5}\x{1F6CB}-\x{1F6D2}\x{1F6E0}-\x{1F6E5}\x{1F6E9}\x{1F6EB}-\x{1F6EC}\x{1F6F0}\x{1F6F3}-\x{1F6F6}\x{1F910}-\x{1F91E}\x{1F920}-\x{1F927}\x{1F930}\x{1F933}-\x{1F93A}\x{1F93C}-\x{1F93E}\x{1F940}-\x{1F945}\x{1F947}-\x{1F94B}\x{1F950}-\x{1F95E}\x{1F980}-\x{1F991}\x{1F9C0}]
vybvopom3#
我找到了它的特定正则表达式
WHERE your_column REGEXP '[\\x{1F000}-\\x{1FFFF}]';
w80xi6nr4#
在我看来,最简单的方法是创建一个包含所有emoji代码的表,然后通过like条件连接到您的表。我在这里分享如何在mysql上插入emotis:
like
create table emojis ( e varchar(100) COLLATE utf8mb4_unicode_ci ); insert into emojis values ( _utf8mb4 0xF09F9881 COLLATE utf8mb4_unicode_ci), ( _utf8mb4 '😂' );
最后的查询应该如下所示:
select distinct yt.id from your_table yt inner join emojis e on yt.some_column like '%' + e.e + '%'
4条答案
按热度按时间i2loujxw1#
我遇到过这样的情况,数据库从一台服务器迁移到另一台服务器导致emoji消失。因此,我必须找到原始表中包含高utf8(emoji)字符的所有行。
此查询按预期工作:
在做任何事情之前,检查你是否在你的数据库,表和连接上使用utf8mb4:
gkl3eglg2#
这可能工作吗?
直接在mysql中使用mysqlUDF存储库中的lib_mysqludf_preg库来处理PCRE正则表达式
[\x{23}\x{2A}\x{30}-\x{39}\x{A9}\x{AE}\x{203C}\x{2049}\x{2122}\x{2139}\x{2194}-\x{2199}\x{21A9}-\x{21AA}\x{231A}-\x{231B}\x{2328}\x{23CF}\x{23E9}-\x{23F3}\x{23F8}-\x{23FA}\x{24C2}\x{25AA}-\x{25AB}\x{25B6}\x{25C0}\x{25FB}-\x{25FE}\x{2600}-\x{2604}\x{260E}\x{2611}\x{2614}-\x{2615}\x{2618}\x{261D}\x{2620}\x{2622}-\x{2623}\x{2626}\x{262A}\x{262E}-\x{262F}\x{2638}-\x{263A}\x{2640}\x{2642}\x{2648}-\x{2653}\x{2660}\x{2663}\x{2665}-\x{2666}\x{2668}\x{267B}\x{267F}\x{2692}-\x{2697}\x{2699}\x{269B}-\x{269C}\x{26A0}-\x{26A1}\x{26AA}-\x{26AB}\x{26B0}-\x{26B1}\x{26BD}-\x{26BE}\x{26C4}-\x{26C5}\x{26C8}\x{26CE}-\x{26CF}\x{26D1}\x{26D3}-\x{26D4}\x{26E9}-\x{26EA}\x{26F0}-\x{26F5}\x{26F7}-\x{26FA}\x{26FD}\x{2702}\x{2705}\x{2708}-\x{270D}\x{270F}\x{2712}\x{2714}\x{2716}\x{271D}\x{2721}\x{2728}\x{2733}-\x{2734}\x{2744}\x{2747}\x{274C}\x{274E}\x{2753}-\x{2755}\x{2757}\x{2763}-\x{2764}\x{2795}-\x{2797}\x{27A1}\x{27B0}\x{27BF}\x{2934}-\x{2935}\x{2B05}-\x{2B07}\x{2B1B}-\x{2B1C}\x{2B50}\x{2B55}\x{3030}\x{303D}\x{3297}\x{3299}\x{1F004}\x{1F0CF}\x{1F170}-\x{1F171}\x{1F17E}-\x{1F17F}\x{1F18E}\x{1F191}-\x{1F19A}\x{1F1E6}-\x{1F1FF}\x{1F201}-\x{1F202}\x{1F21A}\x{1F22F}\x{1F232}-\x{1F23A}\x{1F250}-\x{1F251}\x{1F300}-\x{1F321}\x{1F324}-\x{1F393}\x{1F396}-\x{1F397}\x{1F399}-\x{1F39B}\x{1F39E}-\x{1F3F0}\x{1F3F3}-\x{1F3F5}\x{1F3F7}-\x{1F4FD}\x{1F4FF}-\x{1F53D}\x{1F549}-\x{1F54E}\x{1F550}-\x{1F567}\x{1F56F}-\x{1F570}\x{1F573}-\x{1F57A}\x{1F587}\x{1F58A}-\x{1F58D}\x{1F590}\x{1F595}-\x{1F596}\x{1F5A4}-\x{1F5A5}\x{1F5A8}\x{1F5B1}-\x{1F5B2}\x{1F5BC}\x{1F5C2}-\x{1F5C4}\x{1F5D1}-\x{1F5D3}\x{1F5DC}-\x{1F5DE}\x{1F5E1}\x{1F5E3}\x{1F5E8}\x{1F5EF}\x{1F5F3}\x{1F5FA}-\x{1F64F}\x{1F680}-\x{1F6C5}\x{1F6CB}-\x{1F6D2}\x{1F6E0}-\x{1F6E5}\x{1F6E9}\x{1F6EB}-\x{1F6EC}\x{1F6F0}\x{1F6F3}-\x{1F6F6}\x{1F910}-\x{1F91E}\x{1F920}-\x{1F927}\x{1F930}\x{1F933}-\x{1F93A}\x{1F93C}-\x{1F93E}\x{1F940}-\x{1F945}\x{1F947}-\x{1F94B}\x{1F950}-\x{1F95E}\x{1F980}-\x{1F991}\x{1F9C0}]
vybvopom3#
我找到了它的特定正则表达式
w80xi6nr4#
在我看来,最简单的方法是创建一个包含所有emoji代码的表,然后通过
like
条件连接到您的表。我在这里分享如何在mysql上插入emotis:
最后的查询应该如下所示: