I need to join multiple tables, select counts from different tables and group by one column in one query. This is how I would do this separately:
select c.CommunityName, SUM(case when m.ListKey = c.ListKey then 1 else 0 end) as Posts
from Community c with(NOLOCK)
join messages_ m with(NOLOCK)
on c.ListKey = m.ListKey
group by c.CommunityName
select c.CommunityName, SUM(case when b.CommunityKey = c.CommunityKey then 1 else 0 end) as Blogs
from Community c with(NOLOCK)
join Blog b with(NOLOCK)
on c.CommunityKey = b.CommunityKey
group by c.CommunityName
select c.CommunityName, SUM(case when ce.CommunityKey = c.CommunityKey then 1 else 0 end) as Events
from Community c with(NOLOCK)
join CalendarEvent ce with(NOLOCK)
on c.CommunityKey = ce.CommunityKey
where ce.StartDateTime >= GETDATE()
group by c.CommunityName
or simply
select c.CommunityName, COUNT(*)
from Community c with(NOLOCK)
join messages_ m with(NOLOCK)
on c.ListKey = m.ListKey
group by c.CommunityName
select c.CommunityName, COUNT(*)
from Community c with(NOLOCK)
join Blog b with(NOLOCK)
on c.CommunityKey = b.CommunityKey
group by c.CommunityName
select c.CommunityName, COUNT(*)
from Community c with(NOLOCK)
join CalendarEvent ce with(NOLOCK)
on c.CommunityKey = ce.CommunityKey
where ce.StartDateTime >= GETDATE()
group by c.CommunityName
There are more tables, some that require additional joins... Can someone please help?
If I understand your question correctly, you are looking for community name along with the counts such as posts, blogs, event etc..
As your queries count individually, add dummy columns in the SELECT for the other counts and then in the end UNION them and get the SUM.
SELECT CommunityName , SUM(MessageCount), SUM(BlogCount), SUM(EventCount)
FROM (
SELECT c.CommunityName CommunityName , COUNT(*) MessageCount, 0 BlogCount, 0 EventCount
FROM Community c with(NOLOCK)
JOIN messages_ m with(NOLOCK)
ON c.ListKey = m.ListKey
GROUP BY c.CommunityName
UNION
SELECT c.CommunityName, 0, COUNT(*), 0
FROM Community c with(NOLOCK)
JOIN Blog b with(NOLOCK)
ON c.CommunityKey = b.CommunityKey
GROUP BY c.CommunityName
UNION
SELECT c.CommunityName, 0, 0, COUNT(*)
FROM Community c with(NOLOCK)
JOIN CalendarEvent ce with(NOLOCK)
ON c.CommunityKey = ce.CommunityKey
WHERE ce.StartDateTime >= GETDATE()
GROUP BY c.CommunityName
) CountsTable
GROUP BY CountsTable.CommunityName
CountsTable will look like
| COMMUNITYNAME | MESSAGECOUNT | BLOGCOUNT | EVENTCOUNT |
|---------------|--------------|-----------|------------|
| Name | 10 | 0 | 0 |
| Name | 0 | 20 | 0 |
| Name | 0 | 0 | 30 |
So, you can GROUP BY name and sum up the counts to get your result
| COMMUNITYNAME | MESSAGECOUNT | BLOGCOUNT | EVENTCOUNT |
|---------------|--------------|-----------|------------|
| Name | 10 | 20 | 30 |
Have you thought about using LEFT JOIN to connect your tables? Then you can check for NULLs and sum up the non-NULL values.
SELECT
c.CommunityName,
SUM(case when m.ListKey IS NOT NULL then 1 else 0 end) as Posts,
SUM(case when b.CommunityKey IS NOT NULL then 1 else 0 end) as Blogs,
SUM(case when ce.CommunityKey IS NOT NULL then 1 else 0 end) as Events
FROM
Community c WITH(NOLOCK)
LEFT JOIN
messages_ m WITH(NOLOCK)
ON c.ListKey = m.ListKey
LEFT JOIN
Blog b WITH(NOLOCK)
ON c.CommunityKey = b.CommunityKey
LEFT JOIN
CalendarEvent ce WITH(NOLOCK)
ON c.CommunityKey = ce.CommunityKey
WHERE
ce.StartDateTime >= GETDATE()
GROUP BY
c.CommunityName
Related
apologies for the question name I was unsure how to describe this problem :
take the following CTE
WITH cte_form_answers AS (
SELECT fa.id
, MAX(CASE WHEN fa.question = 'contact' THEN fa.answer END) AS ContactMethod
FROM formanswers fa
GROUP BY fa.id)
SELECT * FROM cte_form_answers
id | ContactMethod
0 | Mobile
1 | Landline
and the following table
SELECT id, ContactMethod, Contact from contacts
id | ContactMethod | Contact
0 | Mobile | xxxx-xxx-xxx
0 | Email | xxx#email.com
1 | Landline | xxxx-xxxx-xxx
1 | Mobile | xxx-xxx-xxxx
I'm attempting to join using the contatMethod from my within my CTE onto the contact table
My own attempt has been :
WITH cte_form_answers AS (SELECT fa.id
, MAX(CASE WHEN fa.question = 'contact' THEN fa.answer END) AS ContactMethod
FROM formanswers fa
LEFT JOIN contacts c
ON c.id = fa.id
AND c.ContactMethod = ( SELECT fa1.id, MAX(CASE WHEN fa1.question = 'contact' THEN fa1.answer END)
FROM formanswers fa1 GROUP BY fa1.ID
GROUP BY fa.id)
which results in an error SQL Error [42601]: ERROR: subquery must return only one column Position: 722
Can someone guide me how to perform this correctly?
just to note the contact table is a slowly changing dimension so it has an end_date column which I also filter in the join but I feel that is of no consquence for this question.
You need to join in another scope that where you are aggregating. For example:
WITH cte_form_answers AS (
SELECT fa.id,
MAX(fa.answer) FILTER(WHERE fa.question = 'contact') AS ContactMethod
FROM formanswers fa
GROUP BY fa.id
)
SELECT *
FROM cte_form_answers a
LEFT JOIN contacts c ON c.id = fa.id AND c.ContactMethod = a.ContactMethod
Or using another CTE if you prefer:
WITH
cte_form_answers AS (
SELECT fa.id,
MAX(fa.answer) FILTER(WHERE fa.question = 'contact') AS ContactMethod
FROM formanswers fa
GROUP BY fa.id
),
cte_form_contact AS (
SELECT *
FROM cte_form_answers a
LEFT JOIN contacts c ON c.id = fa.id AND c.ContactMethod = a.ContactMethod
)
SELECT * FROM cte_form_contact
I have the following code that looks at the SalesVol of different products and groups it by transaction_week
SELECT a.transaction_week,
SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (62,236,501,52)
GROUP BY a.transaction_week
ORDER BY a.transaction_week
| tw | SalesVol |
| 1 | 4768 |
| 2 | 4567 |
| 3 | 4354 |
| 4 | 4678 |
I want to be able to have multiple subqueries where I change the series numbers for example.
SELECT a.transaction_week,
(SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (62,236,501,52)) as personal care
(SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (37,202,203,456)) as white goods
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
GROUP BY a.transaction_week
ORDER BY a.transaction_week
I can't get the subqueries at work as it is giving me the overall sum value and not grouping it by transaction_week
Instead of using subqueries, add series to the condition of the CASE statements:
SELECT a.transaction_week,
sum(CASE WHEN series IN (62,236,501,52) AND record_type IN (6,37,13)
THEN quantity ELSE 0 END) as personal_care,
sum(CASE WHEN series IN (37,202,203,456) AND record_type IN (6,37,13)
THEN quantity ELSE 0 END) as white_goods
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
GROUP BY a.transaction_week
ORDER BY a.transaction_week;
You just miss the a.transaction_week in you subquery. The JOIN in outer query is unneccessary.
SELECT a.transaction_week,
(
SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a2
LEFT JOIN table 2 b ON b.Date = a2.transaction_date
LEFT JOIN table 3 c ON c.sku = a2.product
WHERE series in (62,236,501,52) AND a2.transaction_week = a.transaction_week
) as personal care,
(
SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a 2
LEFT JOIN table 2 b ON b.Date = a2.transaction_date
LEFT JOIN table 3 c ON c.sku = a2.product
WHERE series in (37,202,203,456) AND a2.transaction_week = a.transaction_week
) as white goods
FROM table 1 a
GROUP BY a.transaction_week
ORDER BY a.transaction_week
Try this it would work fast as well as up to your requirement:
SELECT a.transaction_week ,
whitegoods.SalesVol AS 'White Goods' ,
personalcare.SalesVol1 AS 'Personal Care'
FROM table1 a
LEFT JOIN table2 b ON b.[Date] = a.transaction_date
LEFT JOIN table3 c ON c.sku = a.product
CROSS APPLY ( SELECT SUM(CASE WHEN record_type IN ( 6, 37, 13 )
THEN quantity
ELSE 0
END) AS SalesVol
FROM table1 a2
WHERE b.[Date] = a2.transaction_date
AND c.sku = a2.product
AND series IN ( 37, 202, 203, 456 )
AND a2.transaction_week = a.transaction_week
) whitegoods
CROSS APPLY ( SELECT SUM(CASE WHEN record_type IN ( 6, 37, 13 )
THEN quantity
ELSE 0
END) AS SalesVol1
FROM table1 a2
WHERE b.[Date] = a2.transaction_date
AND c.sku = a2.product
AND series IN ( 62, 236, 501, 52 )
AND a2.transaction_week = a.transaction_week
) personalcare
GROUP BY a.transaction_week
ORDER BY a.transaction_week
You should use the UNION operator. Please refer to the query below:
select a.transaction_week, SalesVol from
(SELECT a.transaction_week as transaction_week,
SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (62,236,501,52)
UNION
SELECT a.transaction_week as transaction_week,
SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (37,202,203,456)
) AS tbl1
GROUP BY tbl1.transaction_week
ORDER BY tbl1.transaction_week
I have a table structure like:
Table = contact
Name Emailaddress ID
Bill bill#abc.com 1
James james#abc.com 2
Gill gill#abc.com 3
Table = contactrole
ContactID Role
1 11
1 12
1 13
2 11
2 12
3 12
I want to select the Name and Email address from the first table where the person has Role 12 but not 11 or 13. In this example it should return only Gill.
I believe I need a nested SELECT but having difficulty in doing this. I did the below but obviously it isn't working and returning everything.
SELECT c.Name, c.Emailaddress FROM contact c
WHERE (SELECT count(*) FROM contactrole cr
c.ID = cr.ContactID
AND cr.Role NOT IN (11, 13)
AND cr.Role IN (12)) > 0
You can use a combination of EXISTS and NOT EXISTS
SELECT *
FROM contact c
WHERE
EXISTS(SELECT 1 FROM contactrole cr WHERE cr.ContactID = c.ID AND cr.Role = 12)
AND NOT EXISTS(SELECT 1 FROM contactrole cr WHERE cr.ContactID = c.ID AND cr.Role IN(11, 13))
Another option is to use GROUP BY and HAVING:
SELECT c.*
FROM contact c
INNER JOIN contactrole cr
ON cr.ContactID = c.ID
GROUP BY
c.ID, c.Name, c.Emailaddress
HAVING
SUM(CASE WHEN cr.Role = 12 THEN 1 ELSE 0 END) > 0
AND SUM(CASE WHEN cr.Role IN(11, 13) THEN 1 ELSE 0 END) = 0
Use conditional aggregation in Having clause to filter the records
Try this
SELECT c.NAME,
c.emailaddress
FROM contact c
WHERE id IN (SELECT contactid
FROM contactrole
GROUP BY contactid
HAVING Count(CASE WHEN role = 12 THEN 1 END) > 1
AND Count(CASE WHEN role in (11,13) THEN 1 END) = 0)
If you have only 11,12,13 in role then use can use this
SELECT c.NAME,
c.emailaddress
FROM contact c
WHERE id IN (SELECT contactid
FROM contactrole
GROUP BY contactid
HAVING Count(CASE WHEN role = 12 THEN 1 END) = count(*)
You can do this using JOINs:
SELECT c.*
FROM CONTACT c
INNER JOIN CONTACTROLE cr12
ON cr12.CONTACTID = c.ID AND
cr12.ROLE = 12
LEFT OUTER JOIN CONTACTROLE cr11
ON cr11.CONTACTID = c.ID AND
cr11.ROLE = 11
LEFT OUTER JOIN CONTRACTROLE cr13
ON cr13.CONTACTID = c.ID AND
cr13.ROLE = 13
WHERE cr11.ROLE IS NULL AND
cr13.ROLE IS NULL
The INNER JOIN CONTACTROLE cr12 requires that role 12 exist for the given contact ID; the LEFT OUTER JOIN CONTACTROLE cr11 and LEFT OUTER JOIN CONTRACTROLE cr13 check to see if roles 11 and 13 might exist for the given contact ID; and the WHERE clause verifies that neither roles 11 or 13 exist.
Best of luck.
My problem is similar in a way to this one, yet different enough in my understanding.
I have three tables:
Units ([UnitID] int, [UnitParentID] int)
Students ([StudentID] int, [UnitID] int)
Events ([EventID] int, [EventTypeID] int, [StudentID] int)
Students belong to units, units are stacked in a hierarchy (tree form - one parent per child), and each student can have events of different types.
I need to sum up the number of events of each type per user, then aggregate for all users in a unit, then aggregate through hierarchy until I reach the mother of all units.
The result should be something like this:
My tools are SQL Server 2008 and Report Builder 3.
I put up a SQL fiddle with sample data for fun.
Use this query:
;WITH CTE(Id, ParentId, cLevel, Title, ord) AS (
SELECT
u.UnitID, u.UnitParentID, 1,
CAST('Unit ' + CAST(ROW_NUMBER() OVER (ORDER BY u.UnitID) AS varchar(3)) AS varchar(max)),
CAST(RIGHT('000' + CAST(ROW_NUMBER() OVER (ORDER BY u.UnitID) AS varchar(3)), 3) AS varchar(max))
FROM
dbo.Units u
WHERE
u.UnitParentID IS NULL
UNION ALL
SELECT
u.UnitID, u.UnitParentID, c.cLevel + 1,
c.Title + '.' + CAST(ROW_NUMBER() OVER (PARTITION BY c.cLevel ORDER BY c.Id) AS varchar(3)),
c.ord + RIGHT('000' + CAST(ROW_NUMBER() OVER (ORDER BY u.UnitID) AS varchar(3)), 3)
FROM
dbo.Units u
JOIN
CTE c ON c.Id = u.UnitParentID
WHERE
u.UnitParentID IS NOT NULL
), Units AS (
SELECT
u.Id, u.ParentId, u.cLevel, u.Title, u.ord,
SUM(CASE WHEN e.EventTypeId = 1 THEN 1 ELSE 0 END) AS EventA,
SUM(CASE WHEN e.EventTypeId = 2 THEN 1 ELSE 0 END) AS EventB,
SUM(CASE WHEN e.EventTypeId = 3 THEN 1 ELSE 0 END) AS EventC,
SUM(CASE WHEN e.EventTypeId = 4 THEN 1 ELSE 0 END) AS EventD
FROM
CTE u
LEFT JOIN
dbo.Students s ON u.Id = s.UnitId
LEFT JOIN
dbo.[Events] e ON s.StudentId = e.StudentId
GROUP BY
u.Id, u.ParentId, u.cLevel, u.Title, u.ord
), addStudents AS (
SELECT *
FROM Units
UNION ALL
SELECT
s.StudentId, u.Id, u.cLevel + 1,
'Student ' + CAST(s.StudentId AS varchar(3)),
u.ord + RIGHT('000' + CAST(s.StudentId AS varchar(3)), 0),
SUM(CASE WHEN e.EventTypeId = 1 THEN 1 ELSE 0 END),
SUM(CASE WHEN e.EventTypeId = 2 THEN 1 ELSE 0 END),
SUM(CASE WHEN e.EventTypeId = 3 THEN 1 ELSE 0 END),
SUM(CASE WHEN e.EventTypeId = 4 THEN 1 ELSE 0 END)
FROM Units u
JOIN
dbo.Students s ON u.Id = s.UnitId
LEFT JOIN
dbo.[Events] e ON s.StudentId = e.StudentId
GROUP BY
s.StudentID, u.ID, u.cLevel, u.ord
)
SELECT --TOP(10)
REPLICATE(' ', cLevel) + Title As Title,
EventA, EventB, EventC, EventD
FROM
addStudents
ORDER BY
ord
For this:
Title | EventA | EventB | EventC | EventD
-----------------+--------+---------+--------+--------
Unit 1 | 0 | 1 | 0 | 0
Student 6 | 0 | 1 | 0 | 0
Unit 1.1 | 0 | 0 | 0 | 1
Student 21 | 0 | 0 | 0 | 1
Student 33 | 0 | 0 | 0 | 0
Unit 1.1.1 | 0 | 0 | 0 | 0
Student 23 | 0 | 0 | 0 | 0
Unit 1.1.1.1 | 3 | 2 | 3 | 0
Student 10 | 0 | 0 | 0 | 0
Student 17 | 1 | 0 | 0 | 0
...
SQL Fiddle Demo
Do you need also the hierarchy to be sorted / visualized? At least this will calculate the sums, but the order of the data is pretty random :)
;with CTE as (
select S.StudentId as UnitID, S.UnitId as UnitParentID,
S.StudentID, 'Student' as Type
from Students S
union all
select U.UnitId, U.UnitParentId,
CTE.StudentId as StudentID, 'Unit ' as Type
from
Units U
join CTE
on U.UnitId = CTE.UnitParentId
)
select C.Type + ' ' + convert(varchar, C.UnitId),
sum(case when EventTypeId = 1 then 1 else 0 end) as E1,
sum(case when EventTypeId = 2 then 1 else 0 end) as E2,
sum(case when EventTypeId = 3 then 1 else 0 end) as E3,
sum(case when EventTypeId = 4 then 1 else 0 end) as E4
from
CTE C
left outer join events E on C.StudentId = E.StudentId
group by
C.Type, C.UnitId
SQL Fiddle
If you need also the hierarchy to be in order, you'll probably have add few extra CTEs to get the numbering from top down with something like #shA.t did. This gathers the hierarchy separately for each student, so it's not really possible to add the level numbers in a simple way.
I have two tables as below:
Invoice
InvId | Amount | Name
-----------------------
1 | 50 | John
2 | 30 | Mike
3 | 20 | John
Detail
MetalType| Weight | InvId
-------------------------
Gold | 2 | 2
Silver | 4 | 3
Silver | 3 | 3
Gold | 5 | 1
I would like to have the following output, but my query will only provide the total for silver and gold for John. How can I build a query that will also include the total invoice amount for John.
Total Invoice Amount For John = 70
Total Silver Weight = 7
total Gold Weith = 5
SELECT
SUM(IFF(D.MetalType=”Gold”, D.Weight, 0)) AS TotGold,
SUM((IFF(D.MetalType=”Silver”, D.Weight, 0)) AS TotSilver
FROM Invoice I INNER JOIN Detail D ON I.InvId = D.InvId WHERE I.Name = “John”
Try this:
For Sql-Server:
SELECT
SUM(TotalAmount) AS TotalAmount,
SUM(TotGold) AS TotGold,
SUM(TotSilver) AS TotSilver
FROM(
SELECT
SUM (I.Amount) OVER (Partition by D.Invid) AS TotalAmount,
SUM(CASE WHEN D.MetalType='Gold' THEN D.Weight ELSE 0 END) AS TotGold,
SUM(CASE WHEN D.MetalType='Silver' THEN D.Weight ELSE 0 END) AS TotSilver
FROM Invoice I INNER JOIN Detail D ON I.InvId = D.InvId
WHERE I.Name = 'John'
GROUP BY D.InvId, I.Amount) n
Here is an SQL Fiddle - now it kills the duplicate detail and counts it only once.
EDITED for Access:
SELECT
n.Name,
MAX(TotalAmount),
SUM(TotGold) AS TotGold,
SUM(TotSilver) AS TotSilver
FROM(
SELECT
I.Name,
SUM(CASE WHEN D.MetalType='Gold' THEN D.Weight ELSE 0 END) AS TotGold,
SUM(CASE WHEN D.MetalType='Silver' THEN D.Weight ELSE 0 END) AS TotSilver
FROM Invoice I
INNER JOIN Detail D ON I.InvId = D.InvId
GROUP BY I.Name, D.InvId, I.Amount) n
INNER JOIN (
SELECT
I.Name, SUM (I.Amount) AS TotalAmount
FROM Invoice I
GROUP BY I.Name) m ON m.Name = n.Name
GROUP BY n.Name
Try with this:
With tbl3 (Amt,Gold,Silver)
as
(
SELECT
SUM (I.Amount) OVER (Partition by D.Invid) AS TotalAmount,
SUM(CASE WHEN D.MetalType='Gold' THEN D.Weight ELSE 0 END) AS TotGold,
SUM(CASE WHEN D.MetalType='Silver' THEN D.Weight ELSE 0 END) AS TotSilver
FROM Invoice I Right JOIN Detail D ON I.InvId = D.InvId
WHERE I.Name = 'John' Group by D.InvId, I.Amount
)
Select SUM(Amt) as Total_Invoice_Amount_For_John,
SUM(Gold) as Total_Silver_Weight,
SUM(Silver) as Total_Gold_Width from tbl3
SQL Fiddle
I havent tried out the other queries already posted and they might already be suitable for what you want but here's my take on it :-
SELECT X.NAME, X.METALTYPE, X.WEIGHT, Y.TOTAL
FROM
(SELECT NAME, METALTYPE, SUM(Weight) AS WEIGHT
FROM INVOICE i
INNER JOIN DETAIL d ON i.InvId = d.InvId
GROUP BY NAME, METALTYPE) X
INNER JOIN
(SELECT SUM(AMOUNT) AS Total, NAME
FROM INVOICE
GROUP BY NAME)Y
ON X.NAME = Y.NAME
ORDER BY NAME, TOTAL, METALTYPE
select name, sum(Amount) as 'total invoice',sum(Gold) as 'Gold',sum(Silver) as Silver from(
select aa.Name,aa.Amount,
sum(case when bb.MetalType='Gold' then bb.Weight else 0 end) as 'Gold',
sum(case when bb.MetalType='Silver' then bb.Weight else 0 end) as 'Silver'
from a aa left outer join b bb on aa.InvID=bb.InvID group by aa.InvID) as c group by c.name