Illegal mix of collations for operation 'like' while searching with Ignited-Datatables

Question

I have successfully implemented Ignited-Datatables. However, while searching with database when typing \"non-latin\" characters like \"İ,ş,ğ,..\"

POST http://v

Answer 1

I met a similar error when LIKE was applied to the DateTime column.
So now, instead of using simple date_col LIKE '2019%' I use CAST(date_col AS CHAR) LIKE '2019%'.

The solution was found on the official MySQL bugs website.

Answer 2

I figured out the problem. It seems it is DATETIME fields that causes the problem.

.. ue.last_login '%ayşenur%' 

gives error for Illegal mix of collations for operation 'like'. When I remove LIKE partials DATETIME fields, there are no error any more. I hope this helps.

Answer 3

Try the following:

u.id_user LIKE '%Ä°%' OR ... OR ... '%Ä°%' COLLATE utf8_bin

Refer to MySQL Unicode Character Sets

Also you can refer to MySQL _bin and binary Collations for more information on utf8_bin:

Nonbinary strings (as stored in the CHAR, VARCHAR, and TEXT data types) have a character set and collation. A given character set can have several collations, each of which defines a particular sorting and comparison order for the characters in the set. One of these is the binary collation for the character set, indicated by a _bin suffix in the collation name. For example, latin1 and utf8 have binary collations named latin1_bin and utf8_bin.

Answer 4

i know that this is far too late, but, here my workaround.

SELECT * FROM (SELECT DATE_FORMAT(some_date,'%d/%m/%Y') AS some_date FROM some_table)tb1
WHERE some_date LIKE '% $some_variable %'

datetime/date column gives error for Illegal mix of collations for operation 'like', therefore, by converting it, as another table entity, previous column type will be replace with varchar type.

also, make sure to convert any column before convert it to temporary table, to make matching process more easier.

Answer 5

The question is a little bit old. Finally I find a solution change "LIKE " TO "LIKE binary "