I am looking for the best way to build a query which would hide the record (row) in the event that three field values (in three different columns) would be null. The code below is giving me a syntax run time error message of 3075. Also, I am not sure if it is causing a problem but the code below is executed from a main form and impacting the subform frmStaticDataSkills02.
sql_get = "SELECT [tblCompetency02].[HighLevelObjective], [tblCompetency04].[Self], [tblCompetency04].[SelfSpecialLanguage], [tblCompetency04].[SelfChecklist], [tblCompetency04].[Team], [tblCompetency04].[TeamSpecialLanguage], [tblCompetency04].[TeamChecklist], [tblCompetency04].[Organisation], [tblCompetency04].[OrganisationSpecialLanguage], [tblCompetency04].[OrganisationChecklist], [tblCompetency02].[Competency] FROM [tblCompetency04] INNER JOIN [tblCompetency02] ON [tblCompetency04].[HighLevelObjective] = [tblCompetency02].[ID] WHERE ([tblcompetency04].[self]<>"" or [tblcompetency04].[team]<>"" or [tblcompetency04].[organisation]<>"")"
Form_frmStaticDataSkills02.Form.RecordSource = sql_get
In a general sense, in a table of N columns, you can explicitly count the number of NULL columns in a table and then add them up and compare the count of nulls to 3 in a where predicate:
SELECT *
FROM MyTable x
WHERE
((IIF(x.COL1 IS NULL, 1 , 0) +
IIF(x.COL2 IS NULL, 1 , 0) +
IIF(x.COL3 IS NULL, 1 , 0) +
IIF(x.COL4 IS NULL, 1 , 0))) <> 3;
(Obviously, keep adding IIF statements for all N columns of the table
This will return the data if not all three columns are NULL:
where not (col1 is null and col2 is null and col3 is null)
This is the same after applying algebra of logic: return the row if any of the three rows is NOT NULL
where col1 is not null or col2 is not null or col3 is not null)
End your query with:
WHERE [column_1] IS NOT NULL AND [column_2] IS NOT NULL AND [column_3] IS NOT NULL
You can do that in your where clause by specifying that all 3 fields should not be NULL, the result set that is returned will not have records where all 3 fields are NULL.
SELECT *
FROM tablename
WHERE
field1 IS NOT NULL AND
field2 IS NOT NULL AND
field3 IS NOT NULL
If you do not want to have rows returned where any one of the columns has null values you would use OR. For example:
SELECT *
FROM tablename
WHERE
field1 IS NOT NULL OR
field2 IS NOT NULL OR
field3 IS NOT NULL
Related
I have table like below:
I want result like even one column is null or empty string those records should not be display.
I want results like below:
select * from WHERE col1 IS NOT NULL AND col2 IS NOT NULL AND col3 IS NOT NULL AND col4 IS NOT NULL AND col5 IS NOT NULL....AND col9 IS NOT NULL
If you wanted an efficient way to do this, then one method would be a persistent computed column:
alter table t
add numNulls as ( (case when col1 is null then 1 else 0 end) +
(case when col2 is null then 1 else 0 end) +
(case when col3 is null then 1 else 0 end) +
. . .
) persisted;
You can index this column:
create index t_numNulls on t(numNulls);
And then you can use this in the select:
select t.*
from t
where num_nulls = 0;
That said, I suspect that your real problem is the data model. I am guessing that those 90 columns are really an "array" -- that is, all the same entity. These should be implemented as separate rows in a junction table.
I want to filter the table without the row c
column 1
column 2
a
100
b
200
c
50
null
200
Desired output
column 1
column 2
a
100
b
200
null
200
I tried
select *
from table
where column1 <> 'c'
But since I can compare with null, I'm getting the wrong output. How do I deal with this?
You need to handle the null as follows:
select * from table where column1 <> 'c' or column1 is null
Or you can use the coalesce function as follows:
select * from table where coalesce(column1,'cc') <> 'c'
Coalesce will replace the null value in column1 with the value provided as the second argument. I have used the value which is not equal to 'c' so records with column1 as null will pass this condition
ANSI SQL, DISTINCT predicate.
select *
from table
where column1 is distinct from 'c'
However, not supported by all dbms products.
I have a sql code with filter conditions as below
Select * from TABLE A
Where Col1<>0
and(col2 is not null or col3 is not null)
Please explain why i do not see any records in the output when a record has NULL on both col2 and col3.
How is this is evaluated??
Null check for Col1 should be the first in condition. if Col1 is null then checking null with a value e.g. Col1 = 0 or Col1 <> 0 will always return false. Below an alternate way to deal with nulls in Col1.
Select * from TABLE A
Where isnull(Col1, 0) <> 0
and col2 is not null
Here is the query
select col1
from table
col1 contains these category values:
A
B
C
NULL
How can I rename null category to D?
If you want to make the change permanent
UPDATE table
SET col1 = 'D'
WHERE col1 IS NULL
From then on you can simply query with ...
SELECT col1
FROM table
... to get the desired result.
If there is more than one row having a NULL in col1, you need to filter by a unique key, preferably by the primary key (which every table should have by the way). Let's say you have a table like
id (PK) col1
--- ----
1 'A'
2 'B'
3 'C'
4 NULL
5 NULL
then you can fix it with
UPDATE table SET col1 = 'D' WHERE id = 4;
UPDATE table SET col1 = 'E' WHERE id = 5;
unless you can calculate the new value from another column, e.g.:
UPDATE table
SET col1 = UPPER(LEFT(name, 1))
Try this : ISNULL( ) function is used to replace NULL value with another value
select isnull(col1,'D') as col1
from table
SQL Server uses ISNULL().
SELECT ISNULL(value_to_check, use_this_instead_if_valuetocheck_is_null)
For your code:
select ISNULL(col1, 'D') AS col_name
from table
However, this will happen across the board for this column. You can't use this to make a sequence, like D then E then F. Any NULL value you come across in this column will change to D.
I am trying to do :
SELECT *
FROM table
WHERE column IN (SELECT col FROM table2 WHERE col2 = value )
but I want to check if the second request doesn't return a null array.
How is that possible?
Thanks in advance
Simply add a NOT NULL check in the subquery to omit the null values returned.
SELECT * FROM table WHERE column IN
(SELECT col FROM table2 WHERE col2 = value AND col IS NOT NULL);