If I have a table of data as such
name | type | count
test | blue | 6
test2 | red | 3
test | red | 4
How can I query it such that I get a table:
name | num_red | num_blue
test | 4 | 6
test2 | 3 | 0
I can of course select count(*) where type=blue etc but I can't think of how to count multiple types within one query like this.
Thanks!
You can use CASE in you select clause.
SELECT name,
SUM(CASE WHEN type = 'red' THEN "count" ELSE 0 END) numred,
SUM(CASE WHEN type = 'blue' THEN "count" ELSE 0 END) numblue
FROM tableName
GROUP BY name
SQLFiddle Demo
Related
I'm trying to count non null row in a column but it's counting all the rows and and count the rows in a column that has string "1".
I was able to count the rows in a column that has string "1" for the 1st column but on the 2nd one, it's count the "0" too.
I've seen some articles here but it didn't resolved the issue.
SELECT NAME as Agent_Name, COUNT(case when Thumbs_Up= 1 then 1 else null end) as Thumbs_Up,
COUNT(case when No_Solution_Found =1 then 1 else null end) as No_Solution,
COUNT(case when Save is null then 0 else 1 end) as Total_Saves,
FROM table
GROUP BY NAME
Table:
Name | Thumbs_up | No_Solution_Found | Save
Jonathan | 1 | 0 | Saved
Mike | 0 | 1 | Null
Peter | 1 | 0 | Null
Mike | 1 | 0 | Saved
Peter | 0 | 1 | Saved
Mike | 1 | 0 | Saved
Peter | 0 | 1 | Saved
Expected results:
Name | Thumbs_up | No_Solution | Total_Save
Jonathan | 1 | 0 | 1
Mike | 2 | 1 | 2
Peter | 1 | 2 | 2
Try with SUM instead of COUNT
SELECT NAME as Agent_Name,
SUM(case when Thumbs_Up = 1 then 1 else 0 end) as Thumbs_Up,
SUM(case when No_Solution_Found =1 then 1 else 0 end) as No_Solution,
SUM(case when Save is null then 0 else 1 end) as Total_Saves,
FROM table
GROUP BY NAME
Since only the Save column has NULLs, I assume that's the column you have the problem with.
In your query you wrote:
COUNT(case when Save is null then 0 else 1 end) as Total_Saves,
That is, you're replacing NULL by 0, which is a non null value and therefore is counted.
You presumable wanted to just write:
COUNT(Save) as Total_Saves
(And BTW, there is a comma after as Total_Saves in your query, that doesn't belong there, as no other column expression follows.)
Try the following query-:
Select
Name,
sum(Thumbs_up),
sum(No_Solution_Found),
count(case when [Save] is not null then 1 else null end) as Total_save
from TABLE
group by Name
SQL Server 2014
Let's assume I have a report that displays an ID and VALUE from different tables
| ID | VALUE |
|----|-------|
1 | 1 | 1 |
2 | 1 | 0 |
3 | 1 | 1 |
4 | 2 | 0 |
5 | 2 | 0 |
My goal is to display this table with grouped IDs and VALUEs. My rule to grouping VALUEs would be "If VALUE contains atleast one '1' then display '1' otherwise display '0'".
My current SQL is (simplified)
SELECT
TABLE_A.ID,
CASE
WHEN TABLE_B.VALUE = 1 OR TABLE_C.VALUE NOT IN (0,1,2,3)
THEN 1
ELSE 0
END AS VALUE
FROM TABLE_A, TABLE_B, TABLE_C
GROUP BY
TABLE_A.ID
(CASE
WHEN TABLE_B.VALUE = 1 OR TABLE_C.VALUE NOT IN (0,1,2,3)
THEN 1
ELSE 0
END)
The output is following
| ID | VALUE |
|----|-------|
1 | 1 | 1 |
2 | 1 | 0 |
3 | 2 | 0 |
Which is half way to the output I want
| ID | VALUE |
|----|-------|
1 | 1 | 1 |
2 | 2 | 0 |
So my Question is: How do I extend my current SQL (or change it completely) to get my desired output?
If you are having only 0 and 1 as distinct values in FOREIGN_VALUE column then using max() function as mentioned by HoneyBadger in the comment will fulfill your requirement.
SELECT
ID,
MAX(FOREIGN_VALUE) AS VALUE
FROM (SELECT
ID,
CASE WHEN FOREIGN_VALUE = 1
THEN 1
ELSE 0
END AS FOREIGN_VALUE
FROM TABLE,
FOREIGN_TABLE)
GROUP BY
ID;
Assuming value is always 0 or 1, you can do:
select id, max(value) as value
from t
group by id;
If value can take on other values:
select id,
max(case when value = 1 then 1 else 0 end) as value
from t
group by id;
I have a table which has the following entries
ID | column | value
------------------------
1 | status | DONE
2 | status | FAILED
1 | progress | Green
2 | progress | Red
i want the output as
ID | DONE | FAILED | GREEN | RED
1 | 1 | 0 | 1 | 0
2 | 0 | 1 | 0 | 1
Please let me know the query. I have tried pivot but not getting the results.
Here is a standard pivot query solution which does not use SQL Server's built in PIVOT capability:
SELECT ID,
SUM(CASE WHEN value = 'DONE' THEN 1 ELSE 0 END) AS DONE,
SUM(CASE WHEN value = 'FAILED' THEN 1 ELSE 0 END) AS FAILED,
SUM(CASE WHEN value = 'Green' THEN 1 ELSE 0 END) AS GREEN,
SUM(CASE WHEN value = 'Red' THEN 1 ELSE 0 END) AS RED
FROM yourTable
GROUP BY ID
SELECT *
FROM atable
PIVOT (
COUNT(column)
FOR value in ([DONE], [FAILED], [GREEN], [RED])
) p
I'd like to do a query for every GroupID (which always come in pairs) in which both entries have a value of 1 for HasData.
|GroupID | HasData |
|--------|---------|
| 1 | 1 |
| 1 | 1 |
| 2 | 0 |
| 2 | 1 |
| 3 | 0 |
| 3 | 0 |
| 4 | 1 |
| 4 | 1 |
So the result would be:
1
4
here's what I'm trying, but I can't seem to get it right. Whenever I do a GROUP BY on the GroupID then I only have access to that in the selector
SELECT GroupID
FROM Table
GROUP BY GroupID, HasData
HAVING SUM(HasData) = 2
But I get the following error message because HasData is acutally a bit:
Operand data type bit is invalid for sum operator.
Can I do a count of two where both records are true?
just exclude those group ID's that have a record where HasData = 0.
select distinct a.groupID
from table1 a
where not exists(select * from table1 b where b.HasData = 0 and b.groupID = a.groupID)
You can use the having clause to check that all values are 1:
select GroupId
from table
group by GroupId
having sum(cast(HasData as int)) = 2
That is, simply remove the HasData column from the group by columns and then check on it.
One more option
SELECT GroupID
FROM table
WHERE HasData <> 0
GROUP BY GroupID
HAVING COUNT(*) > 1
I am looking for a way to pivot the following results...
ID | Group_Level | Group_Values
1 | Division | Value 1
2 | Department | Value 2
3 | Class | Value 3
Into the following structure....
ID | Division | Department | Class
1 | Value 1 | Value 2 | Value 3
2 | Value 1 | Value 2 | Value 3
The number of columns is fixed (it will always be division/department/class). The query is intended for Sybase... have been unable to figure out how to achieve this sort of pivoting yet. Any advice?
The classic way to pivot to a fixed number of columns is like this:
select id,
max (case when group_level = 'Division' then Group_Values else null end) Division,
max (case when group_level = 'Department' then Group_Values else null end) Department,
max (case when group_level = 'Class' then Group_Values else null end) Class
from
YourTable
group by id
You need some key to define the set of 3 rows. Then, you just self JOIN
So for data like this...
ID | GroupID | Group_Level | Group_Values
1 | 1 | Division | Value 1
2 | 1 | Department | Value 2
3 | 1 | Class | Value 3
4 | 2 | Division | Value 1
5 | 2 | Department | Value 2
6 | 2 | Class | Value 3
you'd have
SELECT
Div.GroupID, Div.Group_Values, Dept.Group_Values, Cl.Group_Values
FROM
MyTable Div
JOIN
MyTable Dept ON Div.GroupID = Dept.GroupID
JOIN
MyTable Cl ON Div.GroupID = Cl.GroupID
WHERE
Div.Group_Level = 'Division'
AND
Dept.Group_Level = 'Department'
AND
Cl.Group_Level = 'Class'