My query looks like:
SELECT *
FROM table
WHERE t1.id_status_notatka_1 = ANY (selected_type)
AND t1.id_status_notatka_2 = ANY (selected_place)
here I would like to add CASE WHEN
so my query is:
SELECT *
FROM table
WHERE t1.id_status_notatka_1 = ANY (selected_type)
AND t1.id_status_notatka_2 = ANY (selected_place)
AND CASE
WHEN t2.id_bank = 12 THEN t1.id_status_notatka_4 = ANY (selected_effect)
END
but it doesn't work. The syntax is good but it fails in searching for anything. So my question is - how use CASE WHEN in WHERE clause. Short example: if a=0 then add some condition to WHERE (AND condition), if it's not then don't add (AND condition)
No need for CASE EXPRESSION , simply use OR with parenthesis :
AND (t2.id_bank <> 12 OR t1.id_status_notatka_4 = ANY (selected_effect))
For those looking to use a CASE in the WHERE clause, in the above adding an else true condition in the case block should allow the query to work as expected. In the OP, the case will resolve as NULL, which will result in the WHERE clause effectively selecting WHERE ... AND NULL, which will always fail.
SELECT *
FROM table
WHERE t1.id_status_notatka_1 = ANY (selected_type)
AND t1.id_status_notatka_2 = ANY (selected_place)
AND CASE
WHEN t2.id_bank = 12 THEN t1.id_status_notatka_4 = ANY (selected_effect)
ELSE true
END
The accepted answer works, but I'd like to share input for those who are looking for a different answer. Thanks to sagi, I've come up with the following query, but I'd like to give a test case as well.
Let us assume this is the structure of our table
tbl
id | type | status
-----------------------
1 | Student | t
2 | Employee | f
3 | Employee | t
4 | Student | f
and we want to select all Student rows, that have Status = 't', however, We also like to retrieve all Employee rows regardless of its Status.
if we perform SELECT * FROM tbl WHERE type = 'Student' AND status = 't' we would only get the following result, we won't be able to fetch Employees
tbl
id | type | status
-----------------------
1 | Student | t
and performing SELECT * FROM tbl WHERE Status = 't' we would only get the following result, we got an Employee Row on the result but there are Employee Rows that were not included on the result set, one could argue that performing IN might work, however, it will give the same result set. SELECT * FROM tbl WHERE type IN('Student', 'Employee') AND status = 't'
tbl
id | type | status
-----------------------
1 | Student | t
3 | Employee | t
remember, we want to retrieve all Employee rows regardless of its Status, to do that we perform the query
SELECT * FROM tbl WHERE (type = 'Student' AND status = 't') OR (type = 'Employee')
result will be
table
id | type | status
-----------------------
1 | Student | t
2 | Employee | f
3 | Employee | t
Related
I have a database with a lot of columns with pass, fail, blank indicators
I want to create a function to count each type of value and create a table from the counts. The structure I am thinking is something like
| Value | x | y | z |
|-------|------------------|-------------------|---|---|---|---|---|---|---|
| pass | count if x=pass | count if y=pass | count if z=pass | | | | | | |
| fail | count if x=fail | count if y=fail |count if z=fail | | | | | | |
| blank | count if x=blank | count if y=blank | count if z=blank | | | | | | |
| total | count(x) | count(y) | count (z) | | | | | | |
where x,y,z are columns from another table.
I don't know which could be the best approach for this
thank you all in advance
I tried this structure but it shows syntax error
CREATE FUNCTION Countif (columnx nvarchar(20),value_compare nvarchar(10))
RETURNS Count_column_x AS
BEGIN
IF columnx=value_compare
count(columnx)
END
RETURN
END
Also, I don't know how to add each count to the actual table I am trying to create
Conditional counting (or any conditional aggregation) can often be done inline by placing a CASE expression inside the aggregate function that conditionally returns the value to be aggregated or a NULL to skip.
An example would be COUNT(CASE WHEN SelectMe = 1 THEN 1 END). Here the aggregated value is 1 (which could be any non-null value for COUNT(). (For other aggregate functions, a more meaningful value would be provided.) The implicit ELSE returns a NULL which is not counted.
For you problem, I believe the first thing to do is to UNPIVOT your data, placing the column name and values side-by-side. You can then group by value and use conditional aggregation as described above to calculate your results. After a few more details to add (1) a totals row using WITH ROLLUP, (2) a CASE statement to adjust the labels for the blank and total rows, and (3) some ORDER BY tricks to get the results right and we are done.
The results may be something like:
SELECT
CASE
WHEN GROUPING(U.Value) = 1 THEN 'Total'
WHEN U.Value = '' THEN 'Blank'
ELSE U.Value
END AS Value,
COUNT(CASE WHEN U.Col = 'x' THEN 1 END) AS x,
COUNT(CASE WHEN U.Col = 'y' THEN 1 END) AS y
FROM #Data D
UNPIVOT (
Value
FOR Col IN (x, y)
) AS U
GROUP BY U.Value WITH ROLLUP
ORDER BY
GROUPING(U.Value),
CASE U.Value WHEN 'Pass' THEN 1 WHEN 'Fail' THEN 2 WHEN '' THEN 3 ELSE 4 END,
U.VALUE
Sample data:
x
y
Pass
Pass
Pass
Fail
Pass
Fail
Sample results:
Value
x
y
Pass
3
1
Fail
1
1
Blank
0
2
Total
4
4
See this db<>fiddle for a working example.
I think you don't need a generic solution like a function with value as parameter.
Perhaps, you could create a view grouping your data and after call this view filtering by your value.
Your view body would be something like that
select value, count(*) as Total
from table_name
group by value
Feel free to explain your situation better so I could help you.
You can do this by grouping by the status column.
select status, count(*) as total
from some_table
group by status
Rather than making a whole new table, consider using a view. This is a query that looks like a table.
create view status_counts as
select status, count(*) as total
from some_table
group by status
You can then select total from status_counts where status = 'pass' or the like and it will run the query.
You can also create a "materialized view". This is like a view, but the results are written to a real table. SQL Server is special in that it will keep this table up to date for you.
create materialized view status_counts with distribution(hash(status))
select status, count(*) as total
from some_table
group by status
You'd do this for performance reasons on a large table which does not update very often.
I have a Table that has 5 columns
First you can see that im german. But second you see that much of the data only differs in the category and value.
I now want to find all the Datasets that have category 1 and value 1
It should give me this table
I now whant to find in the initial TableA all the entrys that match Name, Date and City BUT only if all 3 of them for every dataset match AND the category is now 2 instead of 1 AND the Value is 0.
So for the Table A it should come out as:
I hope i didnt do any mistakes. In the example and it is clear what i try.
I know for the WHERE Statement there is an IN clause that basically checks if the value is inside a list of values. But i dont know how to use this to check for 3 Values. Because when i just do 3 Lists checks it would also give me every entry that is a combination of my 3 lists regardles of which row the actual value comes from.
So instead of checking if value Name[0] And City[0] And Date[0] can be found i need to avoid that a value is found that is like Name[0] City[4] and Date[12] (Number in brackets stands for the row number).
The code i would have thought of:
Select*
FROM tablea
WHERE
(SELECT name, date, city
FROM tablea
WHERE tablea.Category=1 AND tablea.Value=0) as tableafiltered
WHERE tablea in tableafiltered
Thats what i thought would maybe work. But im pretty sure it wouldnt work. Because im trying to match 3 Columns. And the in in the where statement is only valid for one column right?
The first dataset that you describe can be a subquery and you can join it to the table:
select t.*
from tablea t inner join (
select distinct name, date, city
from tablea
where category = 1 and value = 1
) d on d.name = t.name and d.date = t.date and d.city = t.city
where t.category = 2 and t.value = 0
Another way of doing it is with EXISTS:
select t.*
from tablea t
where t.category = 2 and t.value = 0
and exists (
select 1
from tablea
where name = t.name and date = t.date and city = t.city and category = 1 and value = 1
)
See the demo.
Results:
> name | date | city | category | value
> :----- | :--------- | :------ | -------: | ----:
> Albert | 01.01.2000 | Berlin | 2 | 0
> Albert | 01.01.2000 | Hamburg | 2 | 0
One way to do this would be to create two selects, one for category=1, value=1, and one for the 2,0 combination. Then you can inner join the two tables in one row, then ensure the other two columns matches by where table1.column1=table2.column1 and table2.column2=table1.column2. You can choose the columns any way you like, that's why I give this generic form.
I have 2 tables A and B. I need to update a column in table A for all userid's based on the count of records that userid has in another table based on defined rules. If count of records in another table is 3 and is required for that userID, then mark IsCorrect as 1 else 0, if count is 2 and required is 5 then IsCorrect as 0 For e.g. Below is what I am trying to achieve
Table A
UserID | Required | IsCorrect
----------------------------------
1 | SO;GO;PE | 1
2 | SO;GO;PE;PR | 0
3 | SO;GO;PE | 1
Table B
UserID | PPName
-----------------------
1 | SO
1 | GO
1 | PE
2 | SO
2 | GO
3 | SO
3 | GO
3 | PE
I tried using Update in table joining another table, but cannot up with one. Also, do not want to use cursors, because of its overhead. I know I will have to create a stored Procedure for it for the rules, but how to pass the userID's to it without cursor is what am i am looking for.
This is an update for my earlier question. Thanks for the help.
Here's a solution for PostgreSQL:
update TableA
set IsCorrect =
case when
string_to_array(Required, ';') <#
(select array_agg(PPName)
from TableB
where TableA.UserID = TableB.UserID)
then 1
else 0
end;
You can also see it live on SQL Fiddle.
use sub-query and aggregate function and then case when for conditional update
update TableA A
set A.IsCorrect= case when T.cnt>=3 then 1 else 0 end
inner join
(
select B.UserID ,count(*) as cnt from TableB as B
group by UserID
) as T
on A.userid=T.UserID
Title is confusing I know, I'm just not sure how to word this. Anyway let me describe with a table:
| key | column b | column c |
|-----|----------|----------|
| a | 13 | 2 |
| a | 14 | 2 |
| a | 15 | 1 |
| b | 16 | 2 |
| b | 17 | 2 |
I'd like to select all keys where column c doesn't equal 1, so the select will result in returning only key 'b'
To clarify, my result set should not contain keys that have a row where column c is set to 1. Therefore I'd like a sql query that would return the keys that satisfy the previous statement.
To make my question as clear as possible. From the table above, what I want returned by some sql statement is a result set containing [{b}] based on the fact that key 'a' has at least one row where column c is equal to 1 whereas key 'b' does not have any rows that contain 1 in column c.
SELECT t.[Key]
FROM TableName t
WHERE NOT EXISTS (SELECT 1
FROM TableName
WHERE t.[key] = [key]
AND ColumnC = 1)
GROUP BY t.[Key]
SELECT KEY
FROM WhateverYourTableNameIs
WHERE c <> '1'
I would do this using group by and aggregation:
select [key]
from table t
group by [key]
having sum(case when c = 1 then 1 else 0 end) = 0;
The having clause counts the number of rows that have c = 1. The = 0 says that there are no such rows for a given key.
Elaboration based on other comments:
You asked for ALL keys where column c doesn't equal 1. That is exactly what the query I suggested will give you. The other part of your question so the SELECT will result in returning only key 'b', is ambiguous. The question as asked will give you results from columns A and B. There is nothing in your question to limit the result set. You either need an additional condition to your WHERE clause, or your question is inherently unanswerable.
i have a little problem with an Access query ( dont ask me why but i cannot use a true SGBD but Access )
i have a huge table with like 920k records
i have to loop through all those data and grab the ref that occur more than 5 time on the same date
table = myTable
--------------------------------------------------------------
| id | ref | date | C_ERR_ANO |
--------------------------------------------|-----------------
| 1 | A12345678 | 2012/02/24 | A 4565 |
| 2 | D52245708 | 2011/05/02 | E 5246 |
| ... | ......... | ..../../.. | . .... |
--------------------------------------------------------------
so to resume it a bit, i have like 900000+ records
there is duplicates on the SAME DATE ( oh by the way there is another collumn i forgot to add that have C_ERR_ANO as name)
so i have to loop through all those row, grab each ref based on date AND errorNumber
and if there is MORE than 5 time with the same errorNumber i have to grab them and display it in the result
i ended up using this query:
SELECT DISTINCT Centre.REFERENCE, Centre.DATESE, Centre.C_ERR_ANO
FROM Centre INNER JOIN (SELECT
Centre.[REFERENCE],
COUNT(*) AS `toto`,
Centre.DATESE
FROM Centre
GROUP BY REFERENCE
HAVING COUNT(*) > 5) AS Centre_1
ON Centre.REFERENCE = Centre_1.REFERENCE
AND Centre.DATESE <> Centre_1.DATESE;
but this query isent good
i tried then
SELECT DATESE, REFERENCE, C_ERR_ANO, COUNT(REFERENCE) AS TOTAL
FROM (
SELECT *
FROM Centre
WHERE (((Centre.[REFERENCE]) NOT IN (SELECT [REFERENCE]
FROM [Centre] AS Tmp
GROUP BY [REFERENCE],[DATESE],[C_ERR_ANO]
HAVING Count(*)>1 AND [DATESE] = [Centre].[DATESE]
AND [C_ERR_ANO] = [Centre].[C_ERR_ANO]
AND [LIBELLE] = [Centre].[LIBELLE])))
ORDER BY Centre.[REFERENCE], Centre.[DATESE], Centre.[C_ERR_ANO])
GROUP BY REFERENCE, DATESE, C_ERR_ANO
still , not working
i'm struggeling
Your group by clause needs to include all of the items in your select. Why not use:
select Centre.DATESE, Centre.C_ERR_ANO, Count (*)
Group by Centre.DATESE, Centre.C_ERR_ANO
HAVING COUNT (*) > 5
If you need other fields then you can add them, as long as you ensure the same fields appear in the select as the group by.
No idea what is going on with the formatting here!