Calculate in a table with different cells - SQL Server / T-SQL - sql

Question

I have in my database (SQL Server 2008 R2) a table like this:
ID......Team...........Name......Age
102 Barcelona Mike 15
103 Barcelona Peter 10
104 Barcelona Jacke 10
105 Barcelona Jonas 10
106 Real Madrid Michael 20
107 Real Madrid Terry 26
108 Chelsea James 26
109 Chelsea Arthur 23
110 Chelsea Spence 22
How can I loop the field 'Team' and know that, there are records like Barcelona, Real Madrid and Chelsea.
After that I want to calculate the sum of the team player of each team.
For Barcelona: -> 10 + 10 + 10 + 15 = 45
For Real Madrid: -> 20 + 26 = 46
For Chelsea: -> 26 + 23 + 22 = 71
Fill each result in a separate variable.
The whole calculation should be done in a stored procedure.
The second thing, if I have a table like this:
ID......Team...........Name......HeaderGoal......FreeKickGoal
104 Barcelona Mike 2 1
105 Barcelona Peter 1 0
106 Real Madrid Michael 0 1
107 Real Madrid Terry 0 1
108 Chelsea James 0 0
109 Chelsea Arthur 2 3
110 Chelsea Spence 4 0
How can I loop the field 'Team' and know that, there are records like Barcelona, Real Madrid and Chelsea.
After that I want to calculate the sum of all Goals of each team with the goal type HeaderGoal and FreeKickGoal.
Example for
-> Barcelona: 2+1+1 = 4
-> Real Madrid: 1+1 = 2
-> Chelsea: 2 + 3 + 4 = 9
Fill each result in a separate variable.
The whole calculation should be done in a stored procedure.
I hope you can help me!
BK_

Answer 1

If I understood your question correctly it looks like what you want are aggregates for each group, something that is easily accomplished with the GROUP BY clause.
For the first query you would use:
SELECT team, SUM(age) AS 'Sum of the team'
FROM table
GROUP BY team
This will give this result:
Team Sum of the team
-------------------- ---------------
Barcelona 45
Chelsea 71
Real Madrid 46
and for the second:
SELECT team, SUM(headergoal + freekickgoal) AS 'Sum of goals'
FROM table
GROUP BY team
which will give this result:
Team Sum of goals
-------------------- ------------
Barcelona 4
Chelsea 9
Real Madrid 2
In your example data you list the desired result for the first part for Chelsea as 45 but I guess that is just a typo as you omitted one of Chelseas rows in the calculation?
As for turning it into a stored procedure I can just tell you that it's easy and refer you to the documentation as I won't do all the work for you...
Edit: added merge intoas a response to a comment:
To insert the result of the second query into an existing table you can use either a simple INSERT statement like this:
INSERT table_with_team_and_goals
SELECT team, SUM(headergoal + freekickgoal)
FROM table
GROUP BY team
or MERGE INTO which might be better if you intend to run the query many times (the target table will then be updated if the team already exist in it):
MERGE INTO table_with_team_and_goals AS target
USING (SELECT Team, SUM(headergoal + freekickgoal) AS goals FROM table_with_goals GROUP BY team) AS source
ON target.team=source.team
WHEN MATCHED THEN
UPDATE SET goals = source.goals
WHEN NOT MATCHED THEN
INSERT (Team, Goals)
VALUES (source.team, source.goals);

Answer 2

SELECT TEAM , Name, COUNT(TEAM) As GoalsPerTeam, COUNT(NAME) As GoalPerPlayer
FROM TABLE
GROUP BY TEAM , Name
This query will give you tolal goals scored by per player and per team .

Answer 3

-- Sum age by team
SELECT Team, SUM(Age) SumAge
FROM
(
SELECT Id, Team, Name, Age FROM
(
VALUES
(102, 'Barcelona' , 'Mike' , 15),
(103, 'Barcelona' , 'Peter' , 10),
(104, 'Barcelona' , 'Jacke' , 10),
(105, 'Barcelona' , 'Jonas' , 10),
(106, 'Real Madrid', 'Michael', 20),
(107, 'Real Madrid', 'Terry' , 26),
(108, 'Chelsea' , 'James' , 26),
(109, 'Chelsea' , 'Arthur' , 23),
(110, 'Chelsea' , 'Spence' , 22)
) AS X(Id, Team, Name, Age)
) X
GROUP BY Team
-- Sum goals by team
SELECT Team, SUM(HeaderGoal + FreeKickGoal) Goals
FROM
(
SELECT Id, Team, Name, HeaderGoal, FreeKickGoal FROM
(
VALUES
(104, 'Barcelona' , 'Mike' , 2, 1),
(105, 'Barcelona' , 'Peter' , 1, 0),
(106, 'Real Madrid', 'Michael', 0, 1),
(107, 'Real Madrid', 'Terry' , 0, 1),
(108, 'Chelsea' , 'James' , 0, 0),
(109, 'Chelsea' , 'Arthur' , 2, 3),
(110, 'Chelsea' , 'Spence' , 4, 0)
) AS X(Id, Team, Name, HeaderGoal, FreeKickGoal)
) X
GROUP BY Team