It's nice to find such a useful site with genius members. I have been trying to find a solution for this SQLITE problem for a while now. Google didn't help me, except in finding this website. The SQL query works fine on the MSAccess version of the same database.
Here's my SQ开发者_运维百科L statement - which didn't work for me.
SELECT Invoices.InvoiceNumber, Invoices.Quantity,Invoices.Code, Invoices.Price,Invoices.Discount, Invoices.InvoiceGrandTotal, Employees.EmployeeName, Customers.CustomerName, Invoices.DateOfInvoice, [price]*[Quantity] AS Total, Customers.Address, Products.Description,Products.Unit
FROM Products
INNER JOIN (
(
( Invoices INNER JOIN InvoiceDetails
ON Invoices.InvoiceNumber = InvoiceDetails.InvoiceNumber
) INNER JOIN Customers
ON Invoices.CustomerID = Customers.CustomerID
) INNER JOIN Employees
ON Invoices.UserID = Employees.EmployeeID
) ON Products.Code = InvoiceDetails.Code
WHERE (((InvoiceDetails.InvoiceNumber)='10111'));
The error message is: "Cannot compile Select-Statement: no such column: Invoices.InvoiceNumber
"
That usually just means that you mis-spelled the column name ... check your Invoices table and make sure the column is InvoiceNumber and not "Invoice_Number" or something similar ...
Also, a much simpler version of this query would look something like this .. without all the strange nesting:
SELECT
Invoices.InvoiceNumber,
Invoices.Quantity,
Invoices.Code,
Invoices.Price,
Invoices.Discount,
Invoices.InvoiceGrandTotal,
Employees.EmployeeName,
Customers.CustomerName,
Invoices.DateOfInvoice,
[price]*[Quantity] AS Total,
Customers.Address,
Products.Description,
Products.Unit
FROM
Invoices
JOIN Employees
ON Employees.EmployeeID = Invoices.UserID
JOIN Customers
ON Customers.CustomerID = Invoices.CustomerID
JOIN InvoiceDetails
ON InvoiceDetails.InvoiceNumber = Invoices.InvoiceNumber
JOIN Products
ON Products.Code = InvoiceDetails.Code
WHERE
InvoiceDetails.InvoiceNumber = '10111'
I think the issue might be with case sensitivity. Unless I'm mistaken, MS Access field names are not case sensitive. Check the offending column name for the correct casing in you SQLITE table definition.
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