Join on existing aggregate query to pivot result without id - sql

Question

On a Sql-Server instance, I have three tables:
ActionItem
Id
Name
1
Fish
2
Gravy
3
Pants
ActionData
Id
ActionId
Group
Field
Value
1
1
1
1
100
2
1
1
2
200
3
1
1
3
300
4
1
1
4
NULL
5
1
1
5
NULL
6
1
2
6
"Some Text"
7
2
1
1
50
8
2
1
2
60
9
2
1
3
70
Costing
Id
ActionId
Break
Cost
1
1
Normal
11.3
2
1
Sub
54
3
1
Premium
0.4
4
3
Normal
22
5
3
Premium
0.67
I have a query that sums the cost for each ActionItem:
select
ai.Id,
ai.Name,
sum(c.Cost)
from ActionItem ai
left join Costing c on ai.Id = c.ActionId
group by
ai.Id,
ai.Name
Nice and straight-forward:
Id
Name
(No column name)
1
Fish
65.7
2
Gravy
NULL
3
Pants
22.67
I created a pivot too:
select * from
(select [ActionId], [Group], [Field], [Value] from ActionData) src
pivot (max([Value]) for [ActionId] in ([1],[2],[3],[4])) ppp
Which gets me data in the right format:
Group
Field
1
2
3
4
1
1
100
50
NULL
NULL
1
2
200
60
NULL
NULL
1
3
300
70
NULL
NULL
1
4
NULL
NULL
NULL
NULL
1
5
NULL
NULL
NULL
NULL
2
6
"Some Text"
NULL
NULL
NULL
But I cannot join these two queries together because that PIVOT doesn't contain the ActionId ... even though I use Select * from - how can I get the ActionId col to show on my pivoted data, so I can join it to the rest of my original query?
I could not get sqlfiddle.com to work for MS SQL SERVER today but here are create and inserts if anyone's interested:
CREATE TABLE ActionItem
([Id] int, [Name] varchar(5));
INSERT INTO ActionItem
([Id], [Name])
VALUES
(1, 'Fish'),
(2, 'Gravy'),
(3, 'Pants');
CREATE TABLE ActionData
([Id] int, [ActionId] int, [Group] int, [Field] int, [Value] varchar(11));
INSERT INTO ActionData
([Id], [ActionId], [Group], [Field], [Value])
VALUES
(1, 1, 1, 1, '100'),
(2, 1, 1, 2, '200'),
(3, 1, 1, 3, '300'),
(4, 1, 1, 4, NULL),
(5, 1, 1, 5, NULL),
(6, 1, 2, 6, '"Some Text"'),
(7, 2, 1, 1, '50'),
(8, 2, 1, 2, '60'),
(9, 2, 1, 3, '70')
;
CREATE TABLE Costing (
[Id] int,
[ActionId] int,
[Break] VARCHAR(9),
[Cost] FLOAT);
INSERT INTO Costing
([Id], [ActionId], [Break], [Cost])
VALUES
('1', '1', 'Normal', '11.3'),
('2', '1', 'Sub', '54'),
('3', '1', 'Premium', '0.4'),
('4', '3', 'Normal', '22'),
('5', '3', 'Premium', '0.67');

Answer 1

Not sure what output you expect.
But here's an attempt to join the two queries in 1 pivot.
select pvt.*
from
(
select d.ActionId, ai.Name
--, d.[Group]
, cast(d.[Field] as varchar(30)) as [Col]
, try_cast(d.[Value] as float) as [Value]
from ActionData d
left join ActionItem ai on ai.Id = d.ActionId
where isnumeric(d.[Value]) = 1
union all
select c.ActionId, ai.Name
--, 1 as [Group]
, c.[Break] as [Col]
, sum(c.Cost) as TotalCost
from Costing c
left join ActionItem ai
on ai.Id = c.ActionId
group by c.ActionId, ai.Name, c.[Break]
) src
pivot (
max([Value])
for [Col] in ([1],[2],[3],[4],[Normal],[Premium],[Sub])
) pvt
GO
ActionId | Name | 1 | 2 | 3 | 4 | Normal | Premium | Sub
-------: | :---- | ---: | ---: | ---: | ---: | -----: | ------: | ---:
1 | Fish | 100 | 200 | 300 | null | 11.3 | 0.4 | 54
2 | Gravy | 50 | 60 | 70 | null | null | null | null
3 | Pants | null | null | null | null | 22 | 0.67 | null
db<>fiddle here