MySQL comparison with null value

I have a column called CODE in a MySQL table which can be NULL. Say I have some rows with CODE='C' which I want to ignore in my select result set. I can have either CODE=NULL or CODE!='C' in my result set.

The following query does not return a row with CODE as NULL:

SELECT * from TABLE where CODE!='C'

But this query works as expected and I know it is the right way to do it.

SELECT * from TABLE where CODE IS NULL OR CODE!='C'

My question is why does having only CODE!='C' does not return rows where CODE=NULL? Definitely 'C' is not NULL. We are comparing no value to a character here. Can someone throw some light as why it doesn't work that way?

In MySQL, NULL is considered as a 'missing, unknown value', as opposed to no value. Take a look at this MySQL Reference on NULL.

Any arithmetic comparison with NULL does not return true or false, but returns NULL instead., So, NULL != 'C' returns NULL, as opposed to returning true.

Any arithmetic comparison with 'NULL' will return false. To check this in SQL:

SELECT IF(NULL=123,'true','false') 

To check NULL values we need to use IS NULL & IS NOT NULL operator.

Based on my tests and the documentation here: http://dev.mysql.com/doc/refman/5.0/en/comparison-operators.html

You can compare null and get a boolean result using <=>
NOTE: it looks like NOT EQ operator, but it's EQ operator

For example:

select x <=> y; 
or
select @x <=> @y;

This also compares string vs null, string vs string, etc.

In SQL, the NULL value is a special value, not comparable with any other one. The result of a direct comparison with a NULL is always NULL, although (unfortunately) you may find FALSE in some implementation.

To test a null value you should use IS NULL and IS NOT NULL.

SELECT * 
FROM `table_name` 
WHERE IFNULL(`column_name` != 'C', TRUE)

select * from user where application_id='1223333344' and name is null;

The specified problem can also appear in joins and the above answers aren't particularly helpful. The way I prefer to do it is by coalescing to otherwise impossible value. For example, this

   select foo from bar
     inner join baz on bar.x = baz.y

won't work if bar.x and baz.y are both nulls (join won't bring results). The workaround is to use e.g.

   select foo from bar
     inner join baz on coalesce(bar.x, -1) = coalesce(baz.y, -1)

where -1 is "impossible" value meaning it can never appear in the data set.

I use:

SELECT * from TABLE where NOT(CODE <=> 'C')