I wrote a stored procedure that join three tables to fetch province title from it's table. This is my code:
BEGIN
select TbProvince.title, count(TbProvince.title) as cnt
from TbProvince
where TbProvince.provinceId IN (select TbCustomerUser.provinceId
from TbCustomerUser INNER JOIN
TbDeals
on TbCustomerUser.UserId = TbDeals.sellerUserID
where TbDeals.buyerUserID = 1
)
group by TbProvince.title
end
Description: I have three tables for deals, customers and provinces. I want to retrieve province title and the count of that for customers that were sellers.
The above code have no problem, but only return 1 as a count. The number of customers is more than one.
Can anybody help me solve my problem?
Your query is filtering the rows of TbProvince and then aggregating that table -- and only that table.
Instead, you want to join the tables together to count the customers not the provinces. The query is much simpler to write and read if you use table aliases:
select p.Title, count(*)
from TbCustomerUser cu join
TbDeals d
on cu.UserId = d.sellerUserID join
TbProvince p
on p.provinceId = cu.provinceId
where d.buyerUserID = 1
group by p.Title;
You have to perform the JOIN with customer table. If you use semi join (expressed by IN construct in your case) then you avoid duplicates that are expected in your case.
SELECT TbProvince.title,
COUNT(TbProvince.title) AS cnt
FROM TbProvince
JOIN TbCustomerUser ON TbProvince.provinceId = TbCustomerUser.provinceId
JOIN TbDeals ON TbCustomerUser.UserId = TbDeals.sellerUserID
WHERE TbDeals.buyerUserID = 1
GROUP BY TbProvince.title;
It should be as simple as:
You won't need the subselect. Just join all three tables and you'll receive your desired result.
SELECT TbProvince.title,
count(TbProvince.title) as cnt
FROM TbProvince
INNER JOIN TbCustomerUser
ON TbProvince.provinceId = TbCustomerUser.provinceId
INNER JOIN TbDeals
ON TbCustomerUser.UserId = TbDeals.sellerUserID
AND TbDeals.buyerUserID = 1
GROUP BY TbProvince.title
Why did your solution not work?
You subselect will return a "list" of provinceIDs from TbCustomerUser combinated with TbDeals with your restriction TbDeals.buyerUserID = 1.
The outer select will now return all rows from TbProvince IN this list.
But it's not returning a row for each Customer who had a deal.
That's why you have to JOIN all three tables at once.
Related
I'm trying to get the record count from multiple tables, like this.
Select count(*)
From
(
Select Hist.Common_Name,
Veg.ID,
EDSH.ID
From Hist_Event_View as Hist
Inner Join Vegtables as Veg
ON Hist.Common_Name = Veg.ID
INNER JOIN Final as Final
ON Hist.Common_Name = Final.ID) as Sub
The problem is that ID is being used multiple times, so SQL Server can't resolve which ID is coming from which table in the outer query, I think. How can I handle this issue?
Your assumption is correct, the duplicate ID's are the problem. You can handle this by giving the ID's an alias in the subquery:
Select count(*)
From
(
Select Hist.Common_Name,
Veg.ID as Veg_ID,
EDSH.ID as EDSH_ID
From Hist_Event_View as Hist
Inner Join Vegtables as Veg
ON Hist.Common_Name = Veg.ID
INNER JOIN Final as Final
ON Hist.Common_Name = Final.ID) as Sub
I think this could be fixed by using an alias
https://www.w3schools.com/sql/sql_alias.asp
But why do you need an outer select?
Why not just write:
Select count(*)
From Hist_Event_View as Hist
Inner Join Vegtables as Veg
ON Hist.Common_Name = Veg.ID
INNER JOIN Final as Final
ON Hist.Common_Name = Final.ID
I am struggling with taking a Count() from one table and dividing it by a correlating number from a different table in Microsoft SQL Server.
Here is a fictional example of what I'm trying to do
Lets say I have a table of orders. One column in there is states.
I have a second table that has a column for states, and second column for each states population.
I'd like to find the order per population for each sate, but I have struggled to get my query right.
Here is what I have so far:
SELECT Orders.State, Count(*)/
(SELECT StatePopulations.Population FROM Orders INNER JOIN StatePopulations
on Orders.State = StatePopulations.State
WHERE Orders.state = StatePopulations.State )
FROM Orders INNER JOIN StatePopulations
ON Orders.state = StatePopulations.State
GROUP BY Orders.state
So far I'm contending with an error that says my sub query is returning multiple results for each state, but I'm newer to SQL and don't know how to overcome it.
If you really want a correlated sub-query, then this should do it...
(You don't need to join both table in either the inner or outer query, the correlation in the inner query's where clause does the 'join'.)
SELECT
Orders.state,
COUNT(*) / (SELECT population FROM StatePopulation WHERE state = Orders.state)
FROM
Orders
GROUP BY
Orders.state
Personally, I'd just join them and use MAX()...
SELECT
Orders.state,
COUNT(*) / MAX(StatePopulation.population)
FROM
Orders
INNER JOIN
StatePopulation
StatePopulation.state = Orders.state
GROUP BY
Orders.state
Or aggregate your orders before you join...
SELECT
Orders.state,
Orders.order_count / StatePopulation.population
FROM
(
SELECT
Orders.state,
COUNT(*) AS order_count
FROM
Orders
GROUP BY
Orders.state
)
Orders
INNER JOIN
StatePopulation
StatePopulation.state = Orders.state
(Please forgive typos and smelling pistakes, I'm doing this on a phone.)
SELECT f_name,l_name,teachers.first_name,teachers.t_id,p_id,paid_amount,family_id,date,sum(payments.paid_amount)
FROM payments
LEFT JOIN family ON family.id = payments.family_id
LEFT JOIN teachers ON family.teacher_id = teachers.t_id
How can I get the selected columns fully and the sum column separately?
because that sum function makes all the selected result one row
SELECT f_name,l_name,teachers.first_name,teachers.t_id,p_id,paid_amount,family_id,date
FROM payments
LEFT JOIN family ON family.id = payments.family_id
LEFT JOIN teachers ON family.teacher_id = teachers.t_id
This query is working fine without the sum column
You didn't tell the database, which column to use for aggregating the data. Don't know which database you are using, but some complain, that there is no GROUP BY statement in the SQL text.
Please try with the following query:
SELECT f_name,l_name,teachers.first_name,teachers.t_id,p_id,paid_amount,family_id,date,sum(payments.paid_amount)
FROM payments
LEFT JOIN family ON family.id = payments.family_id
LEFT JOIN teachers ON family.teacher_id = teachers.t_id
GROUP BY f_name,l_name,teachers.first_name,teachers.t_id,p_id,paid_amount,family_id,date
GROUP BY tells the database, which are the key columns in the aggregation.
If you want all the payments, use a subquery or join:
SELECT f_name, l_name, t.first_name, t.t_id, p.p_id, p.paid_amount, p.family_id, date,
(select sum(p.paid_amount) from payments) as all_paid
FROM payments p LEFT JOIN
family f
ON f.id = p.family_id LEFT JOIN
teachers t
ON f.teacher_id = tetchers.t_id;
SELECT f_name,l_name,t.first_name,t.t_id,p_id,paid_amount,family_id,date,sum(p.paid_amount)
FROM payments p,family f,teachers t where f.id = p.family_id and f.teacher_id = t.t_id
Group by f_name,l_name,teachers.first_name,teachers.t_id,p_id,paid_amount,family_id
You can add date column also in Group by expression based on your requirement. Example:
f_name,l_name,teachers.first_name,teachers.t_id,p_id,paid_amount,family_id,date
Query:
SELECT i1.*
FROM (SELECT store_id,
transaction_fid
FROM transactions i
inner join (SELECT prod_id
FROM products
WHERE category = '802') p
ON i.prod_id = p.prod_id
WHERE i.date_id = '10-SEP-16') i1
inner join transactions i2
ON i1.store_id = i2.store_id
AND i1.transaction_fid = i2.transaction_fid
In the above query, I'm trying to get transactions that have items that belong to the category '802'
The inner query matches each line from transactions where prod_id is a prod_id of an item in category 802.
The outer query then takes the store_id and transaction_fid and joins them back to the transaction table to get all other items in the matched transactions.
My question is - do i need to filter the outer query to be in the same date range as the inner query, or does it not matter in terms of efficiency/how long the query takes to run?
Is there a better way to achieve what I'm trying to do?
based on your table names and join types the query should something like :
select i1.store_id,i1.transaction_fid
from transactions i1
inner join products p
on i1.prod_id = p.prod_id
where p.category = '802'
and i1.date_id = '10-SEP-16'
Simple as this?
SELECT tr.*
FROM transactions AS tr
INNER JOIN products AS p ON p.prod_id=tr.prod_id
WHERE i.date_id = {d'2016-09-10'}
AND pr.category='802' --really string value? If int-value better as naked number
Btw: You really should avoid date/time value as culture depending string literals!
I have 2 tables AP and INV where both have the columns [PROJECT] and [Value].
I want a query to return something like this :
PROJECT | SUM_AP | SUM_INV
I came up with the code below but it's returning the wrong results ( sum is wrong ).
SELECT AP.[PROJECT],
SUM(AP.Value) AS SUM_AP,
SUM(INV.Value) AS SUM_INV
FROM AP INNER JOIN INV ON (AP.[PROJECT] =INV.[PROJECT])
WHERE AP.[PROJECT] = 'XXXXX'
GROUP BY AP.[PROJECT]
The results from your query are wrong because the values you are trying to summarize are being grouped, which causes duplicate values to be included in the SUM.
You could solve it with a couple of sub-selects:
SELECT
AP1.[PROJECT],
(SELECT SUM(AP2.Value) FROM AP AS AP2 WHERE AP2.PROJECT = AP1.PROJECT) AS SUM_AP,
(SELECT SUM(INV2.Value) FROM INV AS INV2 WHERE INV2.PROJECT = AP1.PROJECT) AS SUM_INV
FROM AP AS AP1
INNER JOIN INV AS INV1
ON (AP1.[PROJECT] =INV1.[PROJECT])
WHERE AP1.[PROJECT] = 'XXXXX'
GROUP BY AP1.[PROJECT]
If you have N rows in AP with a given project ID, and M rows in INV with that ID, then the join between the two tables on the project ID will have a total of N*M rows for that project, because the same row in AP will be repeated for every row in INV that has that project ID, and vice versa. Hence why your counts are most likely off (because it's counting the same row in a given table multiple times due to repetition from the join).
Instead, you might want to try doing a join between the results of two subqueries, one which groups the first table by project ID and does that its sum, and the second which groups the other table by project ID and does that sum - then joining once you only have 1 row with sum for each project ID.
If PROJECT is the parent table, you should select FROM the project table, and do a left outer join on the two child tables:
SELECT PROJECT.PROJECT_ID, SUM(AP.Value) AS SUM_AP, SUM(INV.Value) AS SUM_INV
FROM PROJECT
LEFT OUTER JOIN AP ON (AP.[PROJECT] = PROJECT.[PROJECT_ID])
LEFT OUTER JOIN INV ON (INV.[PROJECT] = PROJECT.[PROJECT_ID])
WHERE PROJECT.[PROJECT_ID] = 'XXXXX'
GROUP BY PROJECT.[PROJECT_ID]
You could separate the two sum calculations. One way I can think of is to move the inventory calculation to a subquery, like:
SELECT
AP.[PROJECT]
, SUM(AP.Value) AS SUM_AP
, SummedInv as SUM_INV
FROM AP
LEFT JOIN (
SELECT PROJECT, SUM(Value) AS SUM_INV
FROM INV
GROUP BY PROJECT
) SummedInv ON SummedInv.Project = AP.Project
GROUP BY AP.PROJECT, SummedInv.SUM_INV
Because the SummedInv subquery is grouped on project, it's safe to group on SummedInv.SUM_INV in the outer query as well.
how about this query :
select SUM(gpCutBody.actualQty) as cutQty , SUM(gpSewBody.quantity) as sewQty
from jobOrder
inner join gpCutHead on gpCutHead.joNum = jobOrder.joNum
inner join gpSewHead on gpSewHead.joNum = jobOrder.joNum
inner join gpCutBody on gpCutBody.gpCutID = gpCutHead.gpCutID
inner join gpSewBody on gpSewBody.gpSewID = gpSewHead.gpSewID
where jobOrder.joNum = '36'
here is the link to the ERD: http://dl.dropbox.com/u/18794525/AUG%207%20DUMP%20STAN.png
Try:
SELECT AP.[PROJECT] AS PROJECT, SUM(AP.[Value]) AS SUM_AP, SUM(INV.[Value]) AS SUM_INV
FROM AP, INV
WHERE AP.[PROJECT] = INV.[PROJECT]
AND AP.[PROJECT] = 'XXXXX'
GROUP BY AP.[PROJECT]