normalizing accented characters in MySQL queries

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-上瘾入骨i
-上瘾入骨i 2020-12-03 17:33

I\'d like to be able to do queries that normalize accented characters, so that for example:

é, è, and ê

are all treated as \'e\', in querie

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  • 2020-12-03 17:34

    I have implemented a strtr php function/tr unix command in MySQL you can get the source here

    You can use as:

    SELECT tr(name, 'áäèëî', 'aaeei') FROM persons
    

    or to strip some characters

    SELECT tr(name, 'áäèëî', null) FROM persons
    
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  • 2020-12-03 17:36

    The reason for the error is not the table but the characterset of your input, i.e. the 'rené' in your query. The behaviour depends on the character_set_connection variable:

    The character set used for literals that do not have a character set introducer and for number-to-string conversion.

    Using the MySQL Client, change it using SET NAMES:

    A SET NAMES 'charset_name' statement is equivalent to these three statements:

    SET character_set_client = charset_name;
    SET character_set_results = charset_name;
    SET character_set_connection = charset_name;
    

    (from http://dev.mysql.com/doc/refman/5.5/en/charset-connection.html)

    Example output:

    mysql> set names latin1;
    Query OK, 0 rows affected (0.00 sec)
    
    mysql> select * from User where username = 'rené' collate utf8_general_ci;
    ERROR 1253 (42000): COLLATION 'utf8_general_ci' is not valid for CHARACTER SET 'latin1'
    
    mysql> set names utf8;
    Query OK, 0 rows affected (0.00 sec)
    
    mysql> select * from User where username = 'rené' collate utf8_general_ci;
    Empty set (0.00 sec)
    

    Altenatively, use can explicitly set the character set using a 'character set introducer':

    mysql> set names latin1;
    Query OK, 0 rows affected (0.00 sec)
    
    mysql> select * from User where username = _utf8'rené' collate utf8_general_ci;
    Empty set (0.00 sec)
    

    I know this question is pretty old but since Google led me here for a related question, I though it still deserves an answer :)

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  • 2020-12-03 17:39
    $normalized = iconv('UTF-8', 'ASCII//TRANSLIT', $string);
    

    is a perfect php solution, but in mysql? CONVERT?

    in mysql

    SELECT 'Álvaro José' as accented, (CONVERT ('Álvaro José' USING ascii)) as notaccented
    

    Produce:

    Álvaro José     ?lvaro Jos?
    

    The accented words is not converted to no accented words, it is not equivalent a translit of iconv.

    RegExp don't work with UTF-8.

    Not any solution.

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  • 2020-12-03 17:58

    I'd suggest that you save the normalized versions to your table in addition with the real username. Changing the encoding on the fly can be expensive, and you have to do the conversion again for every row on every search.

    If you're using PHP, you can use iconv() to handle the conversion:

    $username = 'rené';
    $normalized = iconv('UTF-8', 'ASCII//TRANSLIT', $string);
    

    Then you'd just save both versions and use the normalized version for searching and normal username for display. Comparing and selecting will be alot faster from the normalized column, provided that you normalize the search string also:

    $search = mysql_real_escape_string(iconv('UTF-8', 'ASCII//TRANSLIT', $_GET['search']));
    mysql_query("SELECT * FROM User WHERE normalized LIKE '%".$search."%'");
    

    Of course this method might not be viable if you have several columns that need normalizations, but in your specific case this might work allright.

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  • 2020-12-03 18:01

    Does a search using English characters return results with foreign characters? I wrote the following script to compare collations in MySQL 5.7 (Should also work for MariaDB 10.2+):

            $db->query('CREATE TABLE IF NOT EXISTS test (name varchar(20))
             Engine=InnoDB character set utf8mb4 collate utf8mb4_unicode_520_ci');
    
            $db->query('CREATE TABLE IF NOT EXISTS test2 (name varchar(20))
             Engine=InnoDB character set utf8mb4 collate utf8mb4_unicode_ci');
    
            $db->query("insert into test values('Łove 520')");
            $db->query("insert into test2 values('Łove 520')");
    
            $types = ['utf8mb4_unicode_520_ci', 'utf8mb4_unicode_ci'];
            $tables = ['test' => 'utf8mb4_unicode_520_ci', 'test2' => 'utf8mb4_unicode_ci'];
            foreach($types as $n)
            {
                foreach($tables as $ta => $tc)
                {
                    $db->query("SET NAMES 'utf8mb4' COLLATE '$n'");
                    $res = $db->query("Select * from $ta where name like 'Love%'"); // Ł equal
                    echo "\ntable $ta($tc), names($n): ".$res->fetchColumn(0);
                }
            }
    

    Here are the results:

    table test(utf8mb4_unicode_520_ci), names(utf8mb4_unicode_520_ci): Łove 520
    table test2(utf8mb4_unicode_ci), names(utf8mb4_unicode_520_ci):
    table test(utf8mb4_unicode_520_ci), names(utf8mb4_unicode_ci): Łove 520
    table test2(utf8mb4_unicode_ci), names(utf8mb4_unicode_ci):
    

    (Note: I ran the script from the command line, so it appears as ┼üove 520 instead of Łove 520)

    It appears that L == Ł when the table collation is utf8mb4_unicode_520_ci, regardless of the connection collation. However, it is not equivalent if you only use utf8mb4_unicode_ci.

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