MySQL select fields containing leading or trailing

2019-04-03 15:57发布

I can use the MySQL TRIM() method to cleanup fields containing leading or trailing whitespace with an UPDATE like so:

UPDATE Foo SET field = TRIM(field);

I would like to actually see the fields this will impact before this is run. I tried this but returns 0 results:

SELECT * FROM Foo WHERE field != TRIM(field);

Seems like this should work but it does not.

Anyone have a solution? Also, curious why this does not work...

标签: mysql sql trim
3条回答
Bombasti
2楼-- · 2019-04-03 16:15

As documented under The CHAR and VARCHAR Types:

All MySQL collations are of type PADSPACE. This means that all CHAR and VARCHAR values in MySQL are compared without regard to any trailing spaces.

In the definition of the LIKE operator, the manual states:

In particular, trailing spaces are significant, which is not true for CHAR or VARCHAR comparisons performed with the = operator:

As mentioned in this answer:

This behavior is specified in SQL-92 and SQL:2008. For the purposes of comparison, the shorter string is padded to the length of the longer string.

From the draft (8.2 <comparison predicate>):

If the length in characters of X is not equal to the length in characters of Y, then the shorter string is effectively replaced, for the purposes of comparison, with a copy of itself that has been extended to the length of the longer string by concatenation on the right of one or more pad characters, where the pad character is chosen based on CS. If CS has the NO PAD characteristic, then the pad character is an implementation-dependent character different from any character in the character set of X and Y that collates less than any string under CS. Otherwise, the pad character is a <space>.

One solution:

SELECT * FROM Foo WHERE CHAR_LENGTH(field) != CHAR_LENGTH(TRIM(field))
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唯我独甜
3楼-- · 2019-04-03 16:33

Here is an example with RegEx

SELECT *
FROM 
    `foo`
WHERE 
   (name EGEXP '(^[[:space:]]|[[:space:]]$)')
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beautiful°
4楼-- · 2019-04-03 16:34
SELECT *
FROM 
    `foo`
WHERE 
   (name LIKE ' %')
OR 
   (name LIKE '% ')
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