I've got two separate tables in sqlite called invoices and purchases and I am using the query below to retrieve the sum of all the invoices and purchases that related to project 7. The thing is the invoices have three records and the value returned in sql is correct, however the purchase equivalent is wrong as there is only one record, but the returned value is multiplied by three.
SELECT sum(invoice.invoice_net) As Sales, sum(purchase.total_order) As Purchases
FROM invoice
LEFT JOIN purchase
ON purchase.projectID=invoice.projectID
WHERE invoice.projectID=7
How can I join these two statements so I get the data returned correctly. I know individually they work fine. I've tried Union, but that puts the data into one column.
SELECT sum(invoice.invoice_net) As Sales
FROM invoice
WHERE projectID=7
SELECT sum(purchase.order_total) As Purchases
FROM purchase
WHERE projectID=7
One option is to sum the results using subqueries and then perform the outer join:
SELECT invoice.Sales, purchase.Purchases
FROM (
SELECT sum(invoice.invoice_net) As Sales, projectID
FROM invoice
GROUP BY projectID
) invoice LEFT JOIN (
SELECT sum(total_order) As Purchases, projectID
FROM purchase
GROUP BY projectID
) purchase ON purchase.projectID=invoice.projectID
WHERE invoice.projectID=7
Another option would be to use a correlated subquery:
SELECT sum(i.invoice_net) As Sales,
(SELECT sum(p.total_order)
FROM purchase p
WHERE p.projectID = i.projectID) As Purchases
FROM invoice i
WHERE i.projectID=7
Related
I can't figure out how to do a 3-table join with aggregate functions and a group by clause.
I have 3 tables:
Products
id
...
Sales
id
product_id
sale_price
...
Punches
id
punchable_id
punchable_type
...
I want to get all of the products data together with its total number of sales, views, (each row in punches table represents a view) and the total revenue from a product.
I have the following query:
#products = Product.joins("INNER JOIN sales ON sales.product_id = products.id INNER JOIN punches ON sales.product_id = punches.punchable_id AND punches.punchable_type = 'Product'").group("products.id").select("products.*, SUM(sales.sale_price) as revenue, COUNT(sales.id) as total_sales_count, COUNT(punches.id) as views").distinct
However, this is giving me the wrong data for the aggregate functions. The numbers are very high (I think it's summing and counting the rows a bunch of extra times).
When I do the Inner Join query with the products table and only one other table (either the punches or sales table), the data is fine. It blows up whenever I do the 2 joins in one query.
Does anyone know what's wrong with the above and how to properly write the query?
You should join to punches directly with products.id = punches.punchable_id ..etc not via sales.product_id
I have two tables, Sales and Returns. They have CustomerID, ProductCode, Name, SalesDate, SalesWeek, SalesAmount and ReturnsDate, ReturnsWeek, ReturnsAmount. What I really want to do is just join these tables and stack them on top of each other so the client has data in a single report for both sales and returns.
Sales and Returns dates are different but the product code, customer ID and Name can be same for a record in output table. For instance Customer A bought a product last month and returned it next month, so his record can appear in returns table.
To achieve this I have tried using union by selecting all columns between both tables but I am getting a mix of records for sales and returns with no consistency. All I want to do is see Nulls for Customers who have no business with Returns and vice versa. I was thinking Left Join in this case should work but it isn't working. So I am seeing mixed up data in all columns for Sales and Returns amounts. Attached is the picture that has two tables, the output I am seeing and the out put I want to see. Also I am performing Weekly aggregations for Sales and Returns amounts. What is the best and easiest way to achieve this ? I am sorry I may have not structured my question properly but the image might help #NewToSQL
Presumably, a customer can purchase a given product more than once. If so, a full join is the right solution, but you need a bit more logic to ensure non-duplication in the results:
select . . .
from (select s.*,
row_number() over (partition by product_code, customer_id order by (select NULL)) as seqnum
from sales s
) s full join
(select r.*,
row_number() over (partition by product_code, customer_id order by (select NULL)) as seqnum
from returns r
) r
on s.product_code = r.product_code and s.customer_id = r.customer_id;
I am leaving the name out, because I assume it is defined by the customer id.
You need to do a FULL JOIN sales table with returns table on those columns that you mentioned.
Something like :
SELECT *
FROM sales s
FULL JOIN returns r
ON s.product_code = r.product_code
AND s.customerid = r.customer_id
below are two tables customer information and second customer with their loan and repayment I want to join these two tables and retrieve the expected result in the picture, please note that in the second table one customer can have more than one loan and he/she can repay it in several installments that in the second table that it saved in many rows, I am expecting to join the two tables and retrieve clients who are still owed from the company.
I found the expected result as a good solution for this purpose but could not retrieve the expected result.
and if you have a good solution for my purpose rather than expected result please share.
example:-
I tried below query but it does not work, because the client id number 1 disbursed three times loan when it shows the tree times purpose it shows that total of the loan three times too
SELECT DISTINCT
CUSTOMER_AIB_INFO_TABLE.ID,
CUSTOMER_AIB_INFO_TABLE.NAME,
(
SELECT SUM (CUSTOMER_AIB_LOAN_TABLE.LOAN) AS "Total Loan"
FROM CUSTOMER_AIB_LOAN_TABLE
WHERE CUSTOMER_AIB_INFO_TABLE.ID = CUSTOMER_AIB_LOAN_TABLE.FK_ID
) AS "Loan",
(
SELECT SUM (CUSTOMER_AIB_LOAN_TABLE.REPAYMENT) FROM CUSTOMER_AIB_LOAN_TABLE
WHERE CUSTOMER_AIB_INFO_TABLE.ID = CUSTOMER_AIB_LOAN_TABLE.FK_ID
) AS Repayment ,
CUSTOMER_AIB_LOAN_TABLE.PURPOSE
FROM CUSTOMER_AIB_INFO_TABLE
INNER JOIN CUSTOMER_AIB_LOAN_TABLE
ON CUSTOMER_AIB_INFO_TABLE.ID = CUSTOMER_AIB_LOAN_TABLE.FK_ID
Instead of Subquery you could use a inner join on select table group by id
SELECT DISTINCT
CUSTOMER_AIB_INFO_TABLE.ID,
CUSTOMER_AIB_INFO_TABLE.NAME,
T.Total_Loan AS "Loan",
T.Total_Rep AS Repayment,
CUSTOMER_AIB_LOAN_TABLE.PURPOSE
FROM CUSTOMER_AIB_INFO_TABLE
INNER JOIN (
SELECT CUSTOMER_AIB_LOAN_TABLE.FK_ID as FK_ID,
SUM (CUSTOMER_AIB_LOAN_TABLE.LOAN) AS Total_Loan
, SUM (CUSTOMER_AIB_LOAN_TABLE.REPAYMENT) AS Total_Rep
FROM CUSTOMER_AIB_LOAN_TABLE
GROUP BY CUSTOMER_AIB_LOAN_TABLE.ID
) T on t.FK_ID = CUSTOMER_AIB_INFO_TABLE.ID
I have been trying to get this to work for a while now. I have 3 tables. First table has the Sales for customers which include the CustomerID, DateOfSales (Which always has the first of the month). The second table has the CustomerName, CustomerID. The third table has which customers buy what product lines. They are stored by CustomerID, ProductID.
I want to get a list (from one SQL hopefully) that has ALL the customers that are listed as buying a certain ProductID AND the maxDate from the Sales. I can get all of them IF there are sales for that customer. How the heck do I get ALL customers that buy the certain ProductID AND the maxDate from Sales or NULL if there is no sales found?
SalesList |CustomerList|WhoBuysWhat
----------|------------|-----------
maxDate |CustomerID |CustomerID
CustomerID| |ProductID=17
This is as close as I got. It gets all max dates but only if there have been sales. I want the CustomerID and a NULL for the maxDate if there were no sales recorded yet.
SELECT WhoBuysWhat.CustomerID, CustomerList.CustomerName,
Max(SalesList.MonthYear) AS MaxOfMonthYear FROM (CustomerList INNER
JOIN SalesList ON CustomerList.CustomerID = SalesList.CustomerID) INNER
JOIN WhoBuysWhat ON CustomerList.CustomerID = WhoBuysWhat.CustomerID
WHERE (((SalesList.ProductID)=17)) GROUP BY WhoBuysWhat.CustomerID,
CustomerList.CustomerName;
Is it possible or do I need to use multiple SQL statements? I know we should get something newer than Access 2002 but that is what they have.
You want LEFT JOINs:
SELECT cl.CustomerID, cl.CustomerName,
Max(sl.MonthYear) AS MaxOfMonthYear
FROM (CustomerList as cl LEFT JOIN
(SELECT sl.*
FROM SalesList sl
WHERE sl.ProductID = 17
) as sl
ON cl.CustomerID = sl.CustomerID
) LEFT JOIN
WhoBuysWhat wbw
ON cl.CustomerID = wbw.CustomerID
GROUP BY cl.CustomerID, cl.CustomerName;
I have one table 'Customers', with a key of customerid.
There is another table PaymentTotals which also has a customerid column. This table stores amounts paid by a customer (PaymentAmount) in a given week (weeknumber field). This implies that in the PaymentTotals table there may be several rows for any one customerid, the difference being the weeknumber for any of these rows.
I am trying to build a query in MSSQL that joins the two tables and will return for a given customerid the PaymentAmount for each different weeknumber.
It is not clear to me how to build this query. Any advice? Thanks.
SELECT *
FROM Customers C INNER JOIN PaymentTotals PT
ON C.customerid = PT.customerid
If you have multiple Payments made by one customer in a given week and want to get total by week you could do something like ....
SELECT C.customerid
,PT.WeekNumber
,SUM(PT.Payment_Column) AS TotalPayment
FROM Customers C INNER JOIN PaymentTotals PT
ON C.customerid = PT.customerid
GROUP BY C.customerid, PT.WeekNumber