The NULL value can be surprising until you
          get used to it. Conceptually, NULL means
          “a missing unknown value” and it is treated
          somewhat differently from other values. To test for
          NULL, you cannot use the arithmetic
          comparison operators such as =,
          <, or <>. To
          demonstrate this for yourself, try the following query:
        
mysql> SELECT 1 = NULL, 1 <> NULL, 1 < NULL, 1 > NULL;
+----------+-----------+----------+----------+
| 1 = NULL | 1 <> NULL | 1 < NULL | 1 > NULL |
+----------+-----------+----------+----------+
|     NULL |      NULL |     NULL |     NULL |
+----------+-----------+----------+----------+
          Clearly you get no meaningful results from these comparisons.
          Use the IS NULL and
          IS NOT NULL operators instead:
        
mysql> SELECT 1 IS NULL, 1 IS NOT NULL;
+-----------+---------------+
| 1 IS NULL | 1 IS NOT NULL |
+-----------+---------------+
|         0 |             1 |
+-----------+---------------+
          In MySQL, 0 or NULL
          means false and anything else means true. The default truth
          value from a boolean operation is 1.
        
          This special treatment of NULL is why, in
          the previous section, it was necessary to determine which
          animals are no longer alive using death IS NOT
          NULL instead of death <>
          NULL.
        
          Two NULL values are regarded as equal in a
          GROUP BY.
        
          When doing an ORDER BY,
          NULL values are presented first if you do
          ORDER BY ... ASC and last if you do
          ORDER BY ... DESC.
        
          A common error when working with NULL is to
          assume that it is not possible to insert a zero or an empty
          string into a column defined as NOT NULL,
          but this is not the case. These are in fact values, whereas
          NULL means “not having a
          value.” You can test this easily enough by using
          IS [NOT] NULL as shown:
        
mysql> SELECT 0 IS NULL, 0 IS NOT NULL, '' IS NULL, '' IS NOT NULL;
+-----------+---------------+------------+----------------+
| 0 IS NULL | 0 IS NOT NULL | '' IS NULL | '' IS NOT NULL |
+-----------+---------------+------------+----------------+
|         0 |             1 |          0 |              1 |
+-----------+---------------+------------+----------------+
          Thus it is entirely possible to insert a zero or empty string
          into a NOT NULL column, as these are in
          fact NOT NULL. See
          Section C.5.5.3, “Problems with NULL Values”.