If you need to return all rows that don’t contain any numbers, the following might help.
Strictly speaking, numbers can be represented by words and other symbols, but for this article “number” simply means “numerical digit”. So we’re finding values that don’t contain any numerical digits.
Example
Suppose we have a table called Products
with the following data in its ProductName
column:
SELECT ProductName
FROM Products;
Result:
+-------------------------------------+ | ProductName | +-------------------------------------+ | Left handed screwdriver | | Right handed screwdriver | | Long Weight (blue) | | Long Weight (green) | | Smash 2000 Sledge Hammer | | Chainsaw (Includes 5 spare fingers) | | Straw Dog Box | | Bottomless Coffee Mugs (4 Pack) | +-------------------------------------+
This column contains character data, but some rows contain numbers within that character data (even though they’re not stored as a numeric type).
We can use the following query to return just those rows that don’t contain any numerical digits:
SELECT ProductName
FROM Products
WHERE ProductName NOT REGEXP '[0-9]+';
Result:
+--------------------------+ | ProductName | +--------------------------+ | Left handed screwdriver | | Right handed screwdriver | | Long Weight (blue) | | Long Weight (green) | | Straw Dog Box | +--------------------------+
As expected, only those rows that don’t contain numbers are returned.
Here we used MySQL’s NOT REGEX
function to find all rows that matched a pattern. The pattern encompasses all numerical digits from 0
to 9
, plus any other character.
This could also be written like this:
SELECT ProductName
FROM Products
WHERE NOT (ProductName REGEXP '[0-9]+');
Result:
+--------------------------+ | ProductName | +--------------------------+ | Left handed screwdriver | | Right handed screwdriver | | Long Weight (blue) | | Long Weight (green) | | Straw Dog Box | +--------------------------+