Actually I tried to run a is null SQL Statement on a SAP HANA Database using the SAP HANA Studio. This does not work because SQLScript has no is not null or is null function. My statement looks like:
Select *
From MSEG
Where KDAUF is null
Unfortunately it does not work. Does anybody know an alternative approach which is practicable using SAP HANA SQLScript? On the internet I found a hint to either use NULLIF or COALESCE. But I neither know how to use this function nor to adapt it to a working WHERE condition.
NULLIF ( expression , expression )
Returns the same type as the first expression.
NULLIF returns the first expression if the two expressions are not equal. If the expressions are equal, NULLIF returns a null value of the type of the first expression
WHERE IFNULL(KDAUF , comparison value) I never use this one
The other is coalesce where if the first vaLue is null, the second VALUE is returned:
WHERE VALUEa = COALESCE(KDAUF,valuea)
here, if kdaUf Is null, coalesce will will return valuea, the default if the first value is null. Since valuea = valuea, the where clause will be true, which is just another way of validating that KDAUF IS NULL
Try to use it this way
Select * from MSEG Where KDAUF **NE** ''
Related
I need write select script that checks if column is null then shows "is null" value, when column is not null then shows "is not null" value in output. But I should use only nvl, decode or coalesce functions. Using another functionalities is not allowed.
Decode is quite simple:
select decode(column_name, null, 'is null',
'is not null'
) as result
from your_table
I don't see why (or how) should NVL and coalesce be involved here, their purpose is different. Maybe you could use them, but - that would be unnecessarily complicated.
Why doesn't the following code work in SQL
SELECT *
FROM DATA
WHERE VALUE != NULL;
we can not Compare null value with = We Special operator to compare null
value in sql
IS OPERATOR
SELECT *
FROM DATA
WHERE VALUE is not NULL;
Null is not any Value.Sql consider Null as Unknown/absence of data.
The condition you written is not in proper format.
If you want to select not null values from your table then you can use the following command
select *from table name where column name IS NOT NULL
If should work if you replace "!=" with "IS NOT".
Because a NULL value indicates an absence of data, it doesn't make sense to compare something with a value to it with an equals operator.
You can make your SELECT statement work by setting ANSI_NULLS OFF
SET ANSI_NULLS OFF
before running the statement. You can get further information here:
https://msdn.microsoft.com/en-us/library/ms188048.aspx
Null does not contain any value. Null is neither zero nor any value.
So we can't compare it using comparision operators.
Instead of using '=', you should use 'IS' keyword.
SELECT * FROM DATA WHERE VALUE IS NOT NULL;
The code will not work in SQL because it is not possible to test for NULL values with the following operators =, <, or <>. It is not possible to compare NULL and 0 as they are not equivalent.
You can test for NULL values using the IS NULL and IS NOT NULL operators instead.
SELECT *
FROM DATA
WHERE VALUE IS NOT NULL
http://www.w3schools.com/sql/sql_null_values.asp
Is this the best way to select default value from the table if selecting value is 0 or null?
DECLARE #value INT = 15
DECLARE #defaultValue INT = 12
SELECT IIF(ISNULL(#value,0) = 0, #defaultValue, #value)
Specify "best". Since IIF works only in SQL-Server i'd use CASE which is ANSI SQL standard and works in every(?) rdbms:
SELECT CASE WHEN ISNULL(#value,0) = 0 THEN #defaultValue ELSE #value END
Actually IIF is even translated to CASE:
IIF is a shorthand way for writing a CASE expression ...
The fact that IIF is translated into CASE also has an impact on other
aspects of the behavior of this function....
But the same is true for ISNULL which is also a SQL-Server function and could be replaced by COALECSE.
By the way, if you use ISNULL or COALESCE in a WHERE-clause, it prevents the query optimizer from using an index. So then you should prefer:
SELECT ...
FROM dbo.TableName
WHERE #value IS NOT NULL AND #value <> #value
However, i prefer ISNULL over COALESCE since the latter has an issue if it contains a sub-query. It is executed twice whereas ISNULL executes it once. Actually COALESCE is also translated into CASE. You can read about that issue here.
You can use the COALESCE. It evaluates the arguments in order and returns the current value of the first expression that initially does not evaluate to NULL. It is used for this purpose to get the first not null value.
SELECT COALESCE(#value,#defaultValue)
But keep in mind,
If all arguments are NULL, COALESCE returns NULL. At least one of the
null values must be a typed NULL.
You can also use the ISNULL but there is difference between both of them that is as listed below,
Comparing COALESCE and ISNULL
1) 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.
2) 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.
3) 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.
If you are planning to use the sub queries in the expression to check for the NULL then you better of using the ISNULL as COALESCE will evaluate same query multiple times.
It can be a lot of arguments what is the best way and what it not, but
for me it is slightly more readable when using case syntax:
select case when #value is null then #defaultValue else #value end
You can use CASE statement.
SELECT CASE WHEN #value IS NULL THEN #defaultValue ELSE #value END
Or COALESCE expression
SELECT COALESCE(#value,#defaultValue)
This question already has answers here:
Using ISNULL vs using COALESCE for checking a specific condition?
(9 answers)
Closed 9 years ago.
What are the practical differences between COALESCE() and ISNULL(,'')?
When avoiding NULL values in SQL concatenations, which one is the best to be used?
Thanks!
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.
> USE tempdb;
> GO
> -- 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.
Source: BOL
The main difference is, that COALESCE is ANSI-Standard, so you will also find it in other RDBMSs, the other difference is you can give a whole list of values to be checked to COALESCE whereas to ISNULL you can only pass one.
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.
COALESCE basically translates to CASE expression and ISNULL is a built-in implemented in the database engine.
MSDN
COALESCE() can have multiple inputs and it will evaluate in order until one of them is not null such as COALESCE(Col1, Col2, Col3, 'N/A'). It's recommended to use this by MS instead of ISNULL()
ISNULL() can only have one input, however it's been shown to be slightly faster than COALESCE.
In SQL or T-SQL how can I go through a table and set fields that are NULL to empty strings if the type is textual and 0 if the fields are integer types.
Thanks for any help, I do not even know where to begin.
Well if it's just one table use a basic update query:
UPDATE MyTable
SET NumericColumn = ISNULL(NumericColumn,0),
StringColumn= ISNULL(StringColumn,'')
What you're suggesting would only work as a "one off".
If you always want those fields to be populated going forward you can set a default value on the table.
You can use IsNull function in T-SQL,
Syntax :
ISNULL ( check_expression , replacement_value )
The function coalesce( expression_1 , expression_2 , ... ) is also useful in this context.
It evaluates the specified expressions from left to right and returns the value of the first expression that evaluates to a value other than null, or null if all the specified expressions evaluate to null.
This can be useful, especially in conjunction with left joins and table rotations.