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);
Related
I am trying to create one single query that will give me a distinct count for both the ActivityID and the CommentID. My query in MS Access looks like this:
SELECT
tbl_Category.Category, Count(tbl_Activity.ActivityID) AS CountOfActivityID,
Count(tbl_Comments.CommentID) AS CountOfCommentID
FROM tbl_Category LEFT JOIN
(tbl_Activity LEFT JOIN tbl_Comments ON
tbl_Activity.ActivityID = tbl_Comments.ActivityID) ON
tbl_Category.CategoryID = tbl_Activity.CategoryID
WHERE
(((tbl_Activity.UnitID)=5) AND ((tbl_Comments.PeriodID)=1))
GROUP BY
tbl_Category.Category;
I know the answer must somehow include SELECT DISTINCT but am not able to get it to work. Do I need to create multiple subqueries?
This is really painful in MS Access. I think the following does what you want to do:
SELECT ac.Category, ac.num_activities, aco.num_comments
FROM (SELECT ca.category, COUNT(*) as num_activities
FROM (SELECT DISTINCT c.Category, a.ActivityID
FROM (tbl_Category as c INNER JOIN
tbl_Activity as a
ON c.CategoryID = a.CategoryID
) INNER JOIN
tbl_Comments as co
ON a.ActivityID = co.ActivityID
WHERE a.UnitID = 5 AND co.PeriodID = 1
) as caa
GROUP BY ca.category
) as ca LEFT JOIN
(SELECT c.Category, COUNT(*) as num_comments
FROM (SELECT DISTINCT c.Category, co.CommentId
FROM (tbl_Category as c INNER JOIN
tbl_Activity as a
ON c.CategoryID = a.CategoryID
) INNER JOIN
tbl_Comments as co
ON a.ActivityID = co.ActivityID
WHERE a.UnitID = 5 AND co.PeriodID = 1
) as aco
GROUP BY c.Category
) as aco
ON aco.CommentId = ac.CommentId
Note that your LEFT JOINs are superfluous because the WHERE clause turns them into INNER JOINs. This adjusts the logic for that purpose. The filtering is also very tricky, because it uses both tables, requiring that both subqueries have both JOINs.
You can use DISTINCT:
SELECT
tbl_Category.Category, Count(DISTINCT tbl_Activity.ActivityID) AS CountOfActivityID,
Count(DISTINCT tbl_Comments.CommentID) AS CountOfCommentID
FROM tbl_Category LEFT JOIN
(tbl_Activity LEFT JOIN tbl_Comments ON
tbl_Activity.ActivityID = tbl_Comments.ActivityID) ON
tbl_Category.CategoryID = tbl_Activity.CategoryID
WHERE
(((tbl_Activity.UnitID)=5) AND ((tbl_Comments.PeriodID)=1))
GROUP BY
tbl_Category.Category;
I am trying to get a list of our users from our database along with the number of people from the same cohort as them - which in this case is defined as being from the same medical school at the same time.
medical_school_id is stored in the doctor_record table
graduation_dt is stored in the doctor_record table as well.
I have managed to write this query out using a subquery which does a select statement counting the number of others for each row but this takes forever. My logic is telling me that I ought to run a simple GROUP BY query once first and then somehow JOIN the medical_school_id on to that.
The group by query is as follows
select count(ca.id) , cdr.medical_school_id, cdr.graduation_dt
from account ca
LEFT JOIN doctor cd on ca.id = cd.account_id
LEFT JOIN doctor_record cdr on cd.gmc_number = cdr.gmc_number
GROUP BY cdr.medical_school_id, cdr.graduation_dt
The long select query is
select a.id, a.email , dr.medical_school_id,
(select count(ba.id) from account ba
LEFT JOIN doctor bd on ba.id = bd.account_id
LEFT JOIN doctor_record bdr on bd.gmc_number = bdr.gmc_number
WHERE bdr.medical_school_id = dr.medical_school_id AND bdr.graduation_dt = dr.graduation_dt) AS med_count,
from account a
LEFT JOIN doctor d on a.id = d.account_id
LEFT JOIN doctor_record dr on d.gmc_number = dr.gmc_number
If you could push me in the right direction that would be amazing
I think you just want window functions:
select a.id, a.email, dr.medical_school_id, dr.graduation_dt,
count(*) over (partition by dr.medical_school_id, dr.graduation_dt) as cohort_size
from account a left join
doctor d
on a.id = d.account_id left join
doctor_record dr
on d.gmc_number = dr.gmc_number;
Using your same code for group by:
SELECT * FROM (
(
SELECT acc.[id]
, acc.[email]
FROM
account acc
LEFT JOIN
doctor doc
ON
acc.id = doc.account_id
LEFT JOIN
doctor_record doc_rec
ON
doc.gmc_number = doc_rec.gmc_number
) label
LEFT JOIN
(
SELECT count(acco.id)
, doc_reco.medical_school_id
, doc_reco.graduation_dt
FROM
account acco
LEFT JOIN
doctor doct
ON
acco.id = doct.account_id
LEFT JOIN
doctor_record doc_reco
ON
doct.gmc_number = doc_reco.gmc_number
GROUP BY
doc_reco.medical_school_id,
doc_reco.graduation_dt
) count
ON
count.[medical_school_id]=label.[medical_school_id]
AND
count.[graduation_dt]=label.[graduation_date]
)
how about something like this?
select a.doctor_id
, count(*) - 1
from doctor_record a
left join doctor_record b on a.medical_school_id = b.medical_school_id
and a.graduation_dt = b.graduation_dt
group by a.doctor_id
Subtract 1 from the count so that you're not counting the doctor in the "other folks in same cohort" number
I'm defining "same cohort" as "same medical school & graduation date".
I'm unclear on what GMC number is and how it is related. Is it something to do with cohort?
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 the following requisites for a query:
Needs to ordered on a inner joined table (see from_products_products below),
Allow duplicates names on from_products_products
It cannot return duplicates records on the origin table (distinct on products.id).
The following query will eliminate the duplicate names, which is not desired, as I had to put a distinct on from_products_products.name because of the use in order by:
SELECT DISTINCT ON (from_products_products.name, products.id) "products".* FROM "products"
INNER JOIN "suppliers_plugin_source_products" ON "suppliers_plugin_source_products"."to_product_id" = "products"."id"
INNER JOIN "products" "from_products_products" ON "from_products_products"."id" = "suppliers_plugin_source_products"."from_product_id"
INNER JOIN "suppliers_plugin_source_products" "sources_from_products_products_join" ON "sources_from_products_products_join"."to_product_id" = "products"."id"
INNER JOIN "suppliers_plugin_suppliers" ON "suppliers_plugin_suppliers"."id" = "sources_from_products_products_join"."supplier_id"
WHERE "products"."profile_id" = 45781 AND (("products"."type" IN ('SuppliersPlugin::DistributedProduct') OR "products"."type" IS NULL)) AND (products.archived <> true)
ORDER BY from_products_products.name ASC, products.id
Using GROUP BY has the same effect and also don't remove duplicates;
The original query that gives duplicate products when the INNER JOIN doesn't match any product:
SELECT "products".* FROM "products"
INNER JOIN "suppliers_plugin_source_products" ON "suppliers_plugin_source_products"."to_product_id" = "products"."id"
INNER JOIN "products" "from_products_products" ON "from_products_products"."id" = "suppliers_plugin_source_products"."from_product_id"
INNER JOIN "suppliers_plugin_source_products" "sources_from_products_products_join" ON "sources_from_products_products_join"."to_product_id" = "products"."id"
INNER JOIN "suppliers_plugin_suppliers" ON "suppliers_plugin_suppliers"."id" = "sources_from_products_products_join"."supplier_id"
WHERE "products"."profile_id" = 45781 AND (("products"."type" IN ('SuppliersPlugin::DistributedProduct') OR "products"."type" IS NULL)) AND (products.archived <> true)
ORDER BY from_products_products.name ASC
So, how to overcome this on PostgreSQL?
PS: This is part of open-source software Noosfero-ecosol
Does this do what you want?
with t as (
SELECT DISTINCT ON (products.id) "products".*,
from_products_products.name as from_products_name
FROM "products"
INNER JOIN "suppliers_plugin_source_products" ON "suppliers_plugin_source_products"."to_product_id" = "products"."id"
INNER JOIN "products" "from_products_products" ON "from_products_products"."id" = "suppliers_plugin_source_products"."from_product_id"
INNER JOIN "suppliers_plugin_source_products" "sources_from_products_products_join" ON "sources_from_products_products_join"."to_product_id" = "products"."id"
INNER JOIN "suppliers_plugin_suppliers" ON "suppliers_plugin_suppliers"."id" = "sources_from_products_products_join"."supplier_id"
WHERE "products"."profile_id" = 45781 AND (("products"."type" IN ('SuppliersPlugin::DistributedProduct') OR "products"."type" IS NULL)) AND (products.archived <> true)
ORDER BY products.id
)
select t.*
from t
order by from_products_name
It seems to meet your requirements.
EDIT:
If the above does what you want, I can think of five options:
The above using a CTE.
Basically the same logic, using a subquery.
Using window functions, which is structurally very similar.
Using group by.
Using a where clause for the filtering logic.
Here is the group by method:
SELECT "products".*,
MIN(from_products_products.name) as from_products_name
FROM "products"
INNER JOIN "suppliers_plugin_source_products" ON "suppliers_plugin_source_products"."to_product_id" = "products"."id"
INNER JOIN "products" "from_products_products" ON "from_products_products"."id" = "suppliers_plugin_source_products"."from_product_id"
INNER JOIN "suppliers_plugin_source_products" "sources_from_products_products_join" ON "sources_from_products_products_join"."to_product_id" = "products"."id"
INNER JOIN "suppliers_plugin_suppliers" ON "suppliers_plugin_suppliers"."id" = "sources_from_products_products_join"."supplier_id"
WHERE "products"."profile_id" = 45781 AND (("products"."type" IN ('SuppliersPlugin::DistributedProduct') OR "products"."type" IS NULL)) AND (products.archived <> true)
GROUP BY products.id
ORDER BY from_products_name;
This form depends on products.id being declared as a primary key. Alternatively, you can put all the columns from that table in the group by.
Rewriting (simplifying the aliases) yields:
SELECT p1.*
FROM products p1
INNER JOIN suppliers_plugin_source_products spsp
ON spsp.to_product_id = p1.id
INNER JOIN products p2
ON p2.id = spsp.from_product_id
INNER JOIN suppliers_plugin_source_products spsp2
ON spsp2.to_product_id = p1.id -- <<-- Huh?
INNER JOIN suppliers_plugin_suppliers sps
ON sps.id = spsp2.supplier_id
WHERE p1.profile_id = 45781
AND (p1."type" IN ('SuppliersPlugin::DistributedProduct') OR p1."type" IS NULL)
AND p1.archived <> true
ORDER BY p2.name ASC -- <<-- Huh?
;
The outer query only refers to the product tables p1 and p2.
Assuming that JOINing the "suppliers_plugin_source_products" table twice was unintentional, this can be reduced to:
SELECT p1.*
FROM products p1
JOIN products p2
ON EXISTS (
SELECT * FROM suppliers_plugin_source_products spsp
-- the next line might not be necessary ...
INNER JOIN suppliers_plugin_suppliers sps ON sps.id = spsp.supplier_id
WHERE spsp.to_product_id = p1.id
AND spsp.from_product_id = p2.id
)
WHERE p1.profile_id = 45781
AND (p1."type" IN ('SuppliersPlugin::DistributedProduct') OR p1."type" IS NULL)
AND p1.archived <> true
ORDER BY p2.name ASC
;
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