Let us suppose the following table (e.g. a result of several inner join statements):
id | column_1 | column_2 ------------------------ 1 | 1 | 2 | 2 | 2 3 | | 3
Which you could for example get from the following statement:
select a.id, t1.column_1, t2.column_2 from a left join t1 on a.id = t1.id left join t2 on a.id = t2.id
Now, if i'd like to sum up t1.column_1 and t2.column_2 as follows
select a.id, t1.column_1, t2.column_2, (t1.column_1 + t2.column_2) as cumulated from a left join t1 on a.id = t1.id left join t2 on a.id = t2.id
The reslut will look as follows:
id | column_1 | column_2 | cumulated ------------------------------------ 1 | 1 | NULL | NULL 2 | 2 | 2 | 4 3 | NULL | 3 | NULL
My question basically is: is there a way to typecast NULL into 0 in order to do some math?
I have tried CONVERT(t1.column_1, SIGNED)
and CAST(t1.column_1 as SIGNED)
, but a NULL
stays a NULL
.
UPDATE [table] SET [column]=0 WHERE [column] IS NULL; Null Values can be replaced in SQL by using UPDATE, SET, and WHERE to search a column in a table for nulls and replace them. In the example above it replaces them with 0. Cleaning data is important for analytics because messy data can lead to incorrect analysis.
Conceptually, NULL means “a missing unknown value” and it is treated somewhat differently from other values. Because the result of any arithmetic comparison with NULL is also NULL , you cannot obtain any meaningful results from such comparisons. In MySQL, 0 or NULL means false and anything else means true.
But the short answer is: yes, int columns can have NULL values.
Use IFNULL(column, 0)
to convert the column value to zero.
Alternatively, the COALESCE function will do the same thing: COALESCE(column, 0)
, except
COALESCE
is ANSI-compliant, IFNULL
is notCOALESCE
takes an arbitrary number of columns/values and will return the first non-null value passed to it.If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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