Re: Does MySQL have fuzzy matching or no?
From: Luuk <luuk_at_invalid.lan>
Date: Fri, 15 Dec 2017 21:20:26 +0100
Message-ID: <5a342e8b$0$10065$e4fe514c_at_news.xs4all.nl>
>
> As in
> SELECT * FROM table
> WHERE field1 SOUNDS LIKE 'doop';
>
+------+
3 rows in set (0.00 sec)
`test` varchar(20) DEFAULT NULL,
FULLTEXT KEY `t` (`test`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 |
Date: Fri, 15 Dec 2017 21:20:26 +0100
Message-ID: <5a342e8b$0$10065$e4fe514c_at_news.xs4all.nl>
[Quoted] On 15-12-17 18:46, Lew Pitcher wrote:
> Lew Pitcher wrote:
>
>> bit-naughty_at_hotmail.com wrote: >> >>> I want to know - if there is a string, say, "poop" in a field in a table, >>> and I want to match it against the string "doop", and have the search >>> return successful - can I? How, please? >> >> If you are looking at strings that might sound similar if pronounced, then >> you could use the SOUNDEX() function to match to a pre-determined value, >> or the SOUNDS LIKE operator (which is, effectively, SOUNDEX(a) = >> SOUNDEX(b) ) to match to something else. >> SELECT * FROM table >> WHERE field1 SOUNDS LIKE field2 ;
>
> As in
> SELECT * FROM table
> WHERE field1 SOUNDS LIKE 'doop';
>
[Quoted] What am i missing?
[root_at_test]> select * from test15;
+------+
| test |
+------+
| doop | | pood | | poop |
+------+
3 rows in set (0.00 sec)
[root_at_test]> select * from test15 where test sounds like 'doop';
+------+
| test |
+------+
| doop |
+------+
1 row in set (0.00 sec)
[root_at_test]> show create table test15;
+--------+-----------------------------------------------------------------------------------------------------------------------------+ | Table | Create Table | +--------+-----------------------------------------------------------------------------------------------------------------------------+| test15 | CREATE TABLE `test15` (
`test` varchar(20) DEFAULT NULL,
FULLTEXT KEY `t` (`test`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 |
+--------+-----------------------------------------------------------------------------------------------------------------------------+1 row in set (0.00 sec) Received on Fri Dec 15 2017 - 21:20:26 CET