table projects : pid(pk), name ...
table categories : pid(pk), project(project's pid), parent(other category's pid) ...
table counts : project(project's pid), category(category's pid), count ...
I used this query before
SELECT
categories.*, projects.pid, projects.name, parent_category.*
FROM categories
INNER JOIN projects ON projects.pid = categories.project
LEFT JOIN categories AS parent_category ON parent_category.pid = categories.parent
and it worked well
This time we need SUM, COUNT data. So i added "counts" table and made this query.
SELECT
categories.*, projects.pid, projects.name, SUM(counts.count), COUNT(counts.count),
parent_category.*, SUM(parent_category_count.count), COUNT(parent_category_count.count)
FROM categories
INNER JOIN projects ON projects.pid = categories.project
LEFT JOIN counts ON counts.category = categories.pid
LEFT JOIN categories AS parent_category ON parent_category.pid = categories.parent
LEFT JOIN counts AS parent_category_count ON parent_category_count.category = categories.pid
Then I get
ERROR: aggregate function calls cannot be nested
What can I do? Does this query basically make sense? Or should I split it?
You should add a proper GROUP BY clause (in your case should be categories.pid )
SELECT
categories.*
, projects.pid
, projects.name
, SUM(counts.count)
, COUNT(counts.count)
, parent_category.*
, SUM(parent_category_count.count)
, COUNT(parent_category_count.count)
FROM categories
INNER JOIN projects ON projects.pid = categories.project
LEFT JOIN counts ON counts.category = categories.pid
LEFT JOIN categories AS parent_category ON parent_category.pid = categories.parent
LEFT JOIN counts AS parent_category_count ON parent_category_count.category = categories.pid
GROUP BY categories.pid
or as in your comment
SELECT
categories.*
, projects.pid
, projects.name
, SUM(counts.count)
, COUNT(counts.count)
, parent_category.*
, SUM(parent_category_count.count)
, COUNT(parent_category_count.count)
FROM categories
INNER JOIN projects ON projects.pid = categories.project
LEFT JOIN counts ON counts.category = categories.pid
LEFT JOIN categories AS parent_category ON parent_category.pid = categories.parent
LEFT JOIN counts AS parent_category_count ON parent_category_count.category = categories.pid
GROUP BY categories.pid, projects.pid, parent_category.pid
Related
I already LEFT JOINed many tables into two sections, but now how do I join these two together?
I am not sure if subquery would work but at least I tried subquery its very confused/
SELECT MoviePerson.PersonId, MoviePerson.PersonFirstName, MoviePerson.PersonLastName, MoviePersonRole.RoleId FROM MoviePerson
LEFT JOIN MoviePersonRole ON MoviePerson.PersonId = MoviePersonRole.PersonId;
select DVD.DVDId, DVD.GenreId, DVD.RatingId, DVD.DVDTitle, DVD.DVDReleasedate, DVD.TheaterReleaseDate, Genre.GenreName, Rating.RatingName,
Rating.RatingDescription
from DVD
LEFT join Genre on DVD.GenreId = Genre.GenreID
LEFT JOIN Rating ON DVD.RatingId = Rating.RatingId
LEFT JOIN MoviePersonRole ON DVD.DVDId =MoviePersonRole.DVDId
;
db<>fiddle
It doesn't look as though you have a column to join on. If you did, you could use the following syntax:
SELECT *
FROM
(
SELECT MoviePerson.PersonId, MoviePerson.PersonFirstName, MoviePerson.PersonLastName, MoviePersonRole.RoleId FROM MoviePerson
LEFT JOIN MoviePersonRole ON MoviePerson.PersonId = MoviePersonRole.PersonId;
) X
INNER JOIN
(
select DVD.DVDId, DVD.GenreId, DVD.RatingId, DVD.DVDTitle, DVD.DVDReleasedate, DVD.TheaterReleaseDate, Genre.GenreName, Rating.RatingName,
Rating.RatingDescription
from DVD
LEFT join Genre on DVD.GenreId = Genre.GenreID
LEFT JOIN Rating ON DVD.RatingId = Rating.RatingId
LEFT JOIN MoviePersonRole ON DVD.DVDId =MoviePersonRole.DVDId
) Y
ON X.column_to_join = y.column_to_join
This SQL query needs to be done in ACCESS.
I am trying to do a subquery on the total sales, but I want to link the sale to the province AND to product. The below query will work with one or the other: (po.product_name = allp.all_products) AND (p.province = allp.all_province); -- but it will no take both.
I will be including every month into this query, once I can figure out the subquery on with two criteria.
Select
p.province as [Province],
po.product_name as [Product],
all_price
FROM
(purchase_order po
INNER JOIN person p
on p.person_id = po.person_id)
left join
(
select
po1.product_name AS [all_products],
sum(pp1.price) AS [all_price],
p1.province AS [all_province]
from (purchase_order po1
INNER JOIN product pp1
on po1.product_name = pp1.product_name)
INNER JOIN person p1
on po1.person_id = p1.person_id
group by po1.product_name, pp1.price, p1.province
)
as allp
on (po.product_name = allp.all_products) AND (p.province = allp.all_province);
Make the first select sql into a table by giving it an alias and join table 1 to table 2. I don't have your table structure or data to test it but I think this will lead you down the right path:
select table1.*, table2.*
from
(Select
p.province as [Province],
po.product_name as [Product]
--removed this ,all_price
FROM
(purchase_order po
INNER JOIN person p
on p.person_id = po.person_id) table1
left join
(
select
po1.product_name AS [all_products],
sum(pp1.price) AS [all_price],
p1.province AS [all_province]
from (purchase_order po1
INNER JOIN product pp1
on po1.product_name = pp1.product_name)
INNER JOIN person p1
on po1.person_id = p1.person_id
group by po1.product_name, pp1.price, p1.province --check your group by, I dont think you want pp1.price here if you want to aggregate
) as table2 --changed from allp
on (table1.product = table2.all_products) AND (table1.province = table2.all_province);
I'm trying to get a report for figures from multiple transaction tables. Each table has a foreign key that is a lookup for the day it was taken on, and what location it was taken at called Site_Lookup_Id. It's giving me figures that are much larger than they should be.
#Site_Lookup_Ids dbo.Id_List READONLY
SELECT SL.Site_Lookup_Id, D.[Start],SUM(I.Amount) AS Income,
SUM(P.Amount) AS Payouts,SUM(DP.Amount) AS Deposit
FROM CashUp_Site_Lookup SL
INNER JOIN #Site_Lookup_Ids IDs ON Ids.Id = SL.Site_Lookup_Id
INNER JOIN CashUp_Day D ON SL.Day_Id = D.Day_Id
LEFT JOIN CashUp_Deposit DP ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id
AND DP.No_Show != 1
LEFT JOIN CashUp_Income I ON I.Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN CashUp_Payout P ON P.Site_Lookup_Id = SL.Site_Lookup_Id
GROUP BY SL.Site_Lookup_Id, D.[Start]
Not all sums will have a value as some days no transactions for a given table will be taken on the day - In this the value should be zero.
The issue is that running this gives me crazy high values - £7500 for income against one day, when if I do a simple check it's £40 for that day like so.
SELECT SUM(Amount) FROM Cashup_Income WHERE Site_Lookup_Id IN (values...)
Maybe something like...
It really depends on the relationships and when you want the values to be summed.
SELECT SL.Site_Lookup_Id
, D.[Start]
, SUM(I.Amount) over (partition by Key of I table) AS Income
, SUM(P.Amount) over (partition by Key of P table) AS Payouts
, SUM(DP.Amount) over (partition by Key of DP Table) AS Deposit
FROM CashUp_Site_Lookup SL
INNER JOIN #Site_Lookup_Ids IDs ON Ids.Id = SL.Site_Lookup_Id
INNER JOIN CashUp_Day D ON SL.Day_Id = D.Day_Id
LEFT JOIN CashUp_Deposit DP ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id
AND DP.No_Show != 1
LEFT JOIN CashUp_Income I ON I.Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN CashUp_Payout P ON P.Site_Lookup_Id = SL.Site_Lookup_Id
GROUP BY SL.Site_Lookup_Id, D.[Start]
The problem stems from the fact that your tables are 1:M Causing values to repeat. These repeated values are then getting added to your sum. The joins cause this issue. So I think you can sum using a partition to eliminate the duplicates or:
Use derived tables or a CTE and sum the values BEFORE you join.
Using CTE's (Common Table Expressions)
WITH DP AS (SELECT sum(Amount) As Deposit
, Redeemed_Site_Lookup_ID
FROM CashUp_Deposit
WHERE No_Show !=1
GROUP BY Redeemed_Site_Lookup_ID),
I AS (SELECT sum(Amount) as Income
, Site_Lookup_Id
FROM CashUp_Income
GROUP BY Site_Lookup_Id),
P AS (SELECT sum(Amount) as Payouts
, Site_Lookup_Id
FROM CashUp_Payout
GROUP BY Site_Lookup_Id)
SELECT SL.Site_Lookup_Id
, D.[Start]
, Income
, Payouts
, Deposit
FROM CashUp_Site_Lookup SL
INNER JOIN #Site_Lookup_Ids IDs
ON Ids.Id = SL.Site_Lookup_Id
INNER JOIN CashUp_Day D
ON SL.Day_Id = D.Day_Id
LEFT JOIN DP
ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN I
ON I.Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN P
ON P.Site_Lookup_Id = SL.Site_Lookup_Id
Presumably, you are generating a Cartesian product with your joins. Because you have no filtering, do the aggregation before the joins:
LEFT JOIN
(SELECT DP.Redeemed_Site_Lookup_Id, SUM(DP.Amount) AS Deposit
FROM CashUp_Deposit DP
WHERE DP.No_Show != 1
GROUP BY DP.Redeemed_Site_Lookup_Id
) DP
ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id LEFT JOIN
(SELECT I.Site_Lookup_Id, SUM(I.Amount) AS Income
FROM CashUp_Income I
GROUP BY I.Site_Lookup_Id
) I
ON I.Site_Lookup_Id = SL.Site_Lookup_Id LEFT JOIN
(SELECT P.Site_Lookup_Id, SUM(P.Amount) AS Payout
FROM CashUp_Payout P
GROUP BY I.Site_Lookup_Id
) P
ON P.Site_Lookup_Id = SL.Site_Lookup_Id
Then adjust the rest of your query to remove the GROUP BY and SUM()s.
I'm trying to link a COUNT to a specific value across several tables in a SQL Server Database. In this case the tables only share values through correlation. I am returning the values I want but the COUNT is counting everything in a given project not just the ones linked to their work items.
SELECT
[d].[Id]
,COUNT([t].[ItemId]) AS ItemCount
,[d].[ItemName]
FROM
[dbo].[Project_Map] [rm] WITH (NOLOCK)
INNER JOIN
[dbo].[WorkProjects] [r] WITH (NOLOCK)
ON [r].[DomainId] = [rm].[DomainId]
AND [r].[ProjectId] = [rm].[ProjectId]
AND [r].[ReleaseId] = [rm].[ReleaseId]
INNER JOIN
[dbo].[Items] [d] WITH (NOLOCK)
ON [d].[DomainId] = [r].[DomainId]
AND [d].[ProjectId] = [r].[ProjectId]
AND [d].[ReleaseId] = [r].[ReleaseId]
INNER JOIN [dbo].[Projects] [p] with (NOLOCK)
ON r.DomainId = p.DomainId
AND r.ProjectId = p.ProjectId
INNER JOIN [dbo].[Tests] [t] with (NOLOCK)
ON p.DomainId = t.DomainId
AND p.ProjectId = t.ProjectId
INNER JOIN
(
SELECT [Id], MAX([LastModifiedDate]) AS MostRecent
FROM Items
Group By [Id]
) AS updatedItem
ON updatedItem.Id = d.Id
INNER JOIN
[dbo].[WorkItemStates] [ds] WITH (NOLOCK)
ON [ds].[ItemStateName] = [d].[ItemStatus]
WHERE
d.Id = 111111
AND d.UserCategory Like 'SOMESTRING'
GROUP BY d.Id, d.ItemName
RETURNS: In this case the count should be 1 but it returns the count for the entire project.
ID COUNT ITEMNAME
86 5169 SOME NAME
173 5169 SOME NAME
170 5169 SOME NAME
Am I missing a join somewhere?
Currently, your counts are counting all JOIN instances and not just distinct Item level records. Consider turning your Item unit level join into an aggregate query join and include the count field in outer grouping:
Specifically, change:
INNER JOIN [dbo].[Tests] [t] with (NOLOCK)
ON p.DomainId = t.DomainId
AND p.ProjectId = t.ProjectId
Into:
INNER JOIN
(SELECT t.DomaindId, t.ProjectId, Count(*) As ItemCount
FROM [dbo].[Tests] t
GROUP BY t.DomaindId, t.ProjectId) agg
ON p.DomainId = agg.DomainId
AND p.ProjectId = agg.ProjectId
And then the outer query structure becomes:
SELECT
[d].[Id]
,agg.ItemCount
,[d].[ItemName]
FROM
...
GROUP BY
[d].[Id]
,agg.ItemCount
,[d].[ItemName]
Interestingly, you already do such an aggregate query join but never use that derived table updateItem or the field MostRecent.
I have this query which returns qty in each of my branch. now the branch has two WH_subType as you see in the attached diagram i have attached. I want to sum the 2 subtype and show its available qty. how can i do it.
my select query is like this
SELECT
dbo.WarehouseType.name AS Section,
dbo.WarehouseSubType.name AS WH_Type,
dbo.WarehouseSubType1.name AS WH_SubType,
dbo.Branch.name AS Branch,
(dbo.WarehouseProductQuantity.actualQuantity - dbo.WarehouseProductQuantity.reservedQuantity) AS AvailQty,
dbo.WarehouseProductQuantity.tafsilId AS Tafsil,
dbo.Tafsil.description AS Product_Name
FROM
dbo.WarehouseSubType
INNER JOIN
dbo.WarehouseType
ON
(
dbo.WarehouseSubType.warehouseTypeId = dbo.WarehouseType.id)
INNER JOIN
dbo.WarehouseSubType1
ON
(
dbo.WarehouseSubType.id = dbo.WarehouseSubType1.warehouseSubTypeId)
INNER JOIN
dbo.Warehouse
ON
(
dbo.WarehouseSubType1.id = dbo.Warehouse.warehouseSubType1Id)
INNER JOIN
dbo.Branch
ON
(
dbo.Warehouse.branchId = dbo.Branch.id)
INNER JOIN
dbo.WarehouseProductQuantity
ON
(
dbo.Warehouse.id = dbo.WarehouseProductQuantity.warehouseId)
INNER JOIN
dbo.TafsilLink
ON
(
dbo.WarehouseProductQuantity.tafsilId = dbo.TafsilLink.sourceId)
INNER JOIN
dbo.Tafsil
ON
(
dbo.TafsilLink.targetId = dbo.Tafsil.id)
INNER JOIN
dbo.FinishProduct
ON
(
dbo.Tafsil.id = dbo.FinishProduct.tafsilId)
INNER JOIN
dbo.Supplier
ON
(
dbo.FinishProduct.supplierId = dbo.Supplier.tafsilId)
WHERE
WarehouseSubType1.warehouseSubTypeId IN (1,4)
group by dbo.WarehouseProductQuantity.tafsilId
Have you tried a group by
SELECT SubType, SUM(qty) AS QtySum
GROUP BY SubType
Every grouped by column should be in your select. Note: for every column you group by it further sub divides the data
Update based on OP comment:
If you want other columns you need to do something like
SELECT s.WH_SubType,s.AvailQty, t.other_cols
from
(SELECT
dbo.WarehouseSubType1.name AS WH_SubType,
sum(dbo.WarehouseProductQuantity.actualQuantity - dbo.WarehouseProductQuantity.reservedQuantity) AS AvailQty
FROM
table
GROUP BY
dbo.WarehouseSubType1.name) s
left join table t on t.dbo.WarehouseSubType1.name = s.WH_SubType;
For reference see this question: How do I use "group by" with three columns of data?
UPDATE 2:
SELECT
dbo.WarehouseType.name AS Section,
dbo.WarehouseSubType.name AS WH_Type,
dbo.WarehouseSubType1.name AS WH_SubType,
dbo.Branch.name AS Branch,
SumTable.AvailQty,
SumTable.Tafsil,
dbo.Tafsil.description AS Product_Name
FROM
dbo.WarehouseSubType
INNER JOIN
dbo.WarehouseType
ON
(
dbo.WarehouseSubType.warehouseTypeId = dbo.WarehouseType.id)
INNER JOIN
dbo.WarehouseSubType1
ON
(
dbo.WarehouseSubType.id = dbo.WarehouseSubType1.warehouseSubTypeId)
INNER JOIN
dbo.Warehouse
ON
(
dbo.WarehouseSubType1.id = dbo.Warehouse.warehouseSubType1Id)
INNER JOIN
dbo.Branch
ON
(
dbo.Warehouse.branchId = dbo.Branch.id)
INNER JOIN
dbo.WarehouseProductQuantity
ON
(
dbo.Warehouse.id = dbo.WarehouseProductQuantity.warehouseId)
INNER JOIN
dbo.TafsilLink
ON
(
dbo.WarehouseProductQuantity.tafsilId = dbo.TafsilLink.sourceId)
INNER JOIN
dbo.Tafsil
ON
(
dbo.TafsilLink.targetId = dbo.Tafsil.id)
INNER JOIN
dbo.FinishProduct
ON
(
dbo.Tafsil.id = dbo.FinishProduct.tafsilId)
LEFT JOIN (SELECT
sum(dbo.WarehouseProductQuantity.actualQuantity - dbo.WarehouseProductQuantity.reservedQuantity) AS AvailQty,
dbo.WarehouseProductQuantity.tafsilId AS Tafsil
FROM
dbo.WarehouseProductQuantity
group by dbo.WarehouseProductQuantity.tafsilId) SumTable on dbo.Tafsil.id = SumTable.Tafsil
WHERE
WarehouseSubType1.warehouseSubTypeId IN (1,4)
You need to do something like
SELECT SUM(AvailQty), ... FROM ... WHERE ... GROUP BY WH_SubType
http://www.w3schools.com/sql/sql_func_sum.asp
http://www.w3schools.com/sql/sql_groupby.asp