When you want to replace a possibly null column with something else, use IsNull.
SELECT ISNULL(myColumn, 0 ) FROM myTable
This will put a 0 in myColumn if it is null in the first place.
Answer from phadaphunk on Stack OverflowWhen you want to replace a possibly null column with something else, use IsNull.
SELECT ISNULL(myColumn, 0 ) FROM myTable
This will put a 0 in myColumn if it is null in the first place.
You can use both of these methods but there are differences:
SELECT ISNULL(col1, 0 ) FROM table1
SELECT COALESCE(col1, 0 ) FROM table1
Comparing COALESCE() and ISNULL():
The ISNULL function and the COALESCE expression have a similar purpose but can behave differently.
Because ISNULL is a function, it is evaluated only once. As described above, the input values for the COALESCE expression can be evaluated multiple times.
Data type determination of the resulting expression is different. ISNULL uses the data type of the first parameter, COALESCE follows the CASE expression rules and returns the data type of value with the highest precedence.
The NULLability of the result expression is different for ISNULL and COALESCE. The ISNULL return value is always considered NOT NULLable (assuming the return value is a non-nullable one) whereas COALESCE with non-null parameters is considered to be NULL. So the expressions ISNULL(NULL, 1) and COALESCE(NULL, 1) although equivalent have different nullability values. This makes a difference if you are using these expressions in computed columns, creating key constraints or making the return value of a scalar UDF deterministic so that it can be indexed as shown in the following example.
-- This statement fails because the PRIMARY KEY cannot accept NULL values -- and the nullability of the COALESCE expression for col2 -- evaluates to NULL.
CREATE TABLE #Demo
(
col1 integer NULL,
col2 AS COALESCE(col1, 0) PRIMARY KEY,
col3 AS ISNULL(col1, 0)
);
-- This statement succeeds because the nullability of the -- ISNULL function evaluates AS NOT NULL.
CREATE TABLE #Demo
(
col1 integer NULL,
col2 AS COALESCE(col1, 0),
col3 AS ISNULL(col1, 0) PRIMARY KEY
);
Validations for ISNULL and COALESCE are also different. For example, a NULL value for ISNULL is converted to int whereas for COALESCE, you must provide a data type.
ISNULL takes only 2 parameters whereas COALESCE takes a variable number of parameters.
if you need to know more here is the full document from msdn.
Hello,
This is my query
SELECT ordertype, status, sum (COUNT (printdate)) over (), date(char(1900000+requestdate)), businessunit FROM Casepallet WHERE date(char(1900000+requestdate)) IN (current date, current date + 1 days) AND business unit=' SCS' AND ordertype!='T1' AND status = 'X' group by ordertype, business unit, request date, status, printdate order by printdate desc limit 1
Sometimes the sum/count of printdate returns nothing, it's null. If it's null I want it to return 0.
I tried doing it like this: COALESCE (sum (COUNT (printdate)) over (), 0), but it doesn't work, it still returns null.
Can anyone guide me here on where I go wrong?
Videos
As many here have said, the best approach is ISNULL(), however if you want an easy way to generate all those ISNULL()'s use the following code:
SELECT 'ISNULL([' + COLUMN_NAME + '], ' +
CASE
WHEN DATA_TYPE = 'bit' THEN '0'
WHEN DATA_TYPE = 'int' THEN '0'
WHEN DATA_TYPE = 'decimal' THEN '0'
WHEN DATA_TYPE = 'date' THEN '''1/1/1900'''
WHEN DATA_TYPE = 'datetime' THEN '''1/1/1900'''
WHEN DATA_TYPE = 'uniqueidentifier' THEN '00000000-0000-0000-0000-000000000000'
ELSE '''''' -- everything else get's an empty string
END + ') AS [' + COLUMN_NAME + '],'
FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = 'TableName'
This will make the tedious job a whole lot easier, you then just have to edit the output to account for the various field types (int, varchar, dates, etc)
Edit: accounting for various datatypes with default values..
You have two options really
ISNULL(yourColumn,0) AS columnName
or to actually fix the issue and change all the NULL data to 0
UPDATE table
SET column = 0
WHERE
column IS NULL -- remember "column = NULL" always equates to NULL!
When you do this dont forget the WHERE or everything will end up being 0!
You can use the COALESCE function to automatically return null values as 0. Syntax is as shown below:
SELECT COALESCE(total_amount, 0) from #Temp1
The coalesce() is the best solution when there are multiple columns [and]/[or] values and you want the first one. However, looking at books on-line, the query optimize converts it to a case statement.
MSDN excerpt
The COALESCE expression is a syntactic shortcut for the CASE expression.
That is, the code COALESCE(expression1,...n) is rewritten by the query optimizer as the following CASE expression:
CASE
WHEN (expression1 IS NOT NULL) THEN expression1
WHEN (expression2 IS NOT NULL) THEN expression2
...
ELSE expressionN
END
With that said, why not a simple ISNULL()? Less code = better solution?
Here is a complete code snippet.
-- drop the test table
drop table #temp1
go
-- create test table
create table #temp1
(
issue varchar(100) NOT NULL,
total_amount int NULL
);
go
-- create test data
insert into #temp1 values
('No nulls here', 12),
('I am a null', NULL);
go
-- isnull works fine
select
isnull(total_amount, 0) as total_amount
from #temp1
Last but not least, how are you getting null values into a NOT NULL column?
I had to change the table definition so that I could setup the test case. When I try to alter the table to NOT NULL, it fails since it does a nullability check.
-- this alter fails
alter table #temp1 alter column total_amount int NOT NULL
You can use the ISNULL function.
Here is how you will use the function (for SQL Server).
ISNULL(columnName, 0)
I would like to replace the total value to 0 when it is null
This is an impossible situation because:
The COUNT function always returns an integer. The result cannot be NULL!
As for coalescing an expression to a certain default in case it is NULL there are functions that do this in all major databases (ex.: COALESCE, NVL, ISNULL, IFNULL). The typical use is
FUNCTION_NAME(ExpressionThatMayBeNULL, DefaultWhenNull)
For specifics you should consult you database manufacturers documentation (you can find it online).
Yes, by using COALESCE.
SELECT COALESCE(null_column, 0) AS null_column FROM whatever;
COALESCE goes through the list of values you give it, and returns the first non-null value.
I am adding this answer because no one mentioned IFNULL function
You can use IFNULL
SELECT IFNULL(column_name, 0) FROM table_name;
IFNULL will return column's value (if it has something other than NULL) otherwise second parameter passed (in this case 0).
I have 2 datasets, one is called Company Locations, with the columns Company ID and Location, and the second is called Company Headcount, with the columns Company ID and Headcount.
SELECT *
FROM company_locations AS cl
LEFT JOIN company_headcounts AS ch
ON cl.company_id = ch.company_id;I am joining these 2 datasets, and there are empty values under Headcount because Company Locations has company IDs that donโt appear in Company Headcount.
How can I replace these empty values with 0s instead?