OK, I have the worst VB class in the world. The friggin textbook has you do programming projects but the stupid book doesn't even explain everything required for the project. Oh yeah, the professor for the class doesn't help worth a crap (online schooling).
So needless to say, I have been struggling with the class for a very VERY LONG TIME...
Well, here's my request:
Here is visual representation of what is required
Now, I have been fighting this thing for MANY MANY hours and would like some tips and advice on how to get this stupid thing done. I usually get more specific when it comes to posting in this website except this time, it seems like I have a problem with EVERYTHING!!!
Here is the instructions:
"The database Microland.accdb is maintained by the Microland Computer Warehouse, a mail-order computer-supply company. The tables below show data in the three tables in the database. The table Customers identifies each customer by an ID number and gives, in addition to the name and address, the total amount of purchases during the current year prior to today. The table Inventory identifies each product in stock by an ID number and gives, in addition to its description and price (per unit), the quantity in stock at the beginning of the day. The table Orders gives the orders received today. Assume that it is now the end of the day. Write a Visual Basic program that uses the three tables to do the following two tasks:
Display in a listbox the items that are out of stock and those that must be reordered to satisfy today’s orders.
Display in a listbox bills for all customers who ordered during the day. Each bill should show the customer’s name, address, items ordered (with costs), and total cost of the order.
So, if any of you VB geniuses would like to tell me how to do some of this stuff, that would be absolutely awesome. Any kind of help will definitely make a difference for me.
(I'm assuming it's VB.NET) Here's some pointers on the bigger picture, you'll need Google to fill-in the details:
1) Establish a connection to your Access database using ADO.NET. Maybe do this in code or use the data tools in Visual Studio?
2) Write a query (in Access or plain SQL) to find the count of the distinct stock items that have been purchased today and subtract that from the count of the items in stock at the beginning of the day. Select the items where the count is zero or less.
You can use the visual builder in Access and save the query object, referring to this query object in code. Or you can copy the SQL generated by Access and use this with ADO.NET command objects.
3) Show the results of this query in a listbox. Either step through the DataReader adding items to listbox in code, or investigate databinding to your datasource.
4) Write another query that shows the data requested in step 2 in your question and then list those results in another listbox.
Try to get a little further with it and then respond with progress and further issues.
Related
I'm working on a DB that consists mostly of two tables. One with our stock of memorial markers, and the other where I keep a running list of ongoing and completed orders.
When I change an ongoing order in the Orders table to completed I would like to have one of the corresponding memorial markers deducted from that size category in the stock table.
I've mostly been building this using the form designer and wizards but I am comfortable with coding, though I'm not super familiar with SQL. Some pointers in the right direction should to get me going should help. I've been searching around but keep getting results for other things.
Thanks for your time
I am trying to create a report that displays 3 different numbers for each of my projects.
Contract Hours - Stored in projects table, 1 to 1 relationship
Worked Hours - Stored in linked table that will be updated using an external website reporting feature that will contain only data for the dates that are to be displayed in the report, one to many relationship needs to be a sum
Allocated Hours - Stored in a table in my database called allocations and contains data for all dates, one to many relationship needs to be summed.
Right now i have it set up in a way that the user has to type the data range for the report every time it is run, however the date range only actually applies to the Allocation data because the worked hours data comes filtered and the contract data is one to one.
What I would like to do is set up a query that can see the domain of the worked hours and apply it as a date criteria for the allocated hours.
I have attempted to use max and min values of the Worked hours and tried to get creative but I'm actually not even sure if this is possible because I cannot see any simple solution (although I know it should be possible and fairly simple)
Any help, suggestions, or recommendations are appreciated.
I'm very new to Microsoft Access and I've run into a bit of a conundrum. I'm building a basic Access database that can help my Dad use past invoices to quote future jobs. I really only have two objects I'm working with. An invoice Table that hold all the costs that we paid for specific metals in 2013 and a Form I'm making that pulls information from that table. In my basic table I have a Currency field called PPLB(Price Per Pound). Now throughout the year we sometimes buy the same metal multiple times and if you know anything about metal, you know that the amount of metal you purchase sometimes affects the price that you pay. So in my Quoting Form I have a Query that looks like this->
SELECT DISTINCTROW Avg(MAT_QuickBookInvoices_2013.PPLB) AS [Avg Of PPLB]
FROM MAT_QuickBookInvoices_2013
GROUP BY MAT_QuickBookInvoices_2013.Material, MAT_QuickBookInvoices_2013.[Material Subtype], MAT_QuickBookInvoices_2013.Spec, MAT_QuickBookInvoices_2013.Shape, MAT_QuickBookInvoices_2013.Sizes
HAVING (((MAT_QuickBookInvoices_2013.Material)=[Forms]![MAT_QuoteTable]![Mat_CB]) AND ((MAT_QuickBookInvoices_2013.[Material Subtype])=[forms]![MAT_QuoteTable]![SubType_CB]) AND ((MAT_QuickBookInvoices_2013.Spec)=[forms]![MAT_QuoteTable]![Spec_CB]) AND ((MAT_QuickBookInvoices_2013.Shape)=[forms]![MAT_QuoteTable]![Shape_CB]) AND ((MAT_QuickBookInvoices_2013.Sizes)=[forms]![MAT_QuoteTable]![Size_CB]));
I know that's long but what it's doing is grouping the different type of metals into their most common grouping using Combo Boxes in the Quote Form and then finding the average price for that group. So now the problem. When I run the query it pulls up the correct price but when it transfers to the combo box it rounds price to the nearest whole dollar. How can I change or correct this? I've tried changing and formatting the source table as a double instead of currency and this hasn't helped. Any hints at all would be appreciated.
On the Property sheet for your comboBox, set the Formay property to Fixed. Then. immediately underneath that, set the number of decimals to 2 or 3 or whatever. That should do it.
Cheers -
I am very new to BO webintelligence.
I am doing a very simple query, retrieve Sales Amount for dates between 2012 and 2013. Just for this simple query when I run it, my BO crashes or gets stuck on "please wait" window. Why is this happening? If I select like 3 or 4 days like between Jan 1st 2012 and Jan 4th 2012, it runs fine. Is there anything from my end that I am doing wrong? This is in production mode.
I also wanted to point out that I have tried limiting my data set for specific region etc.
Too many unknowns to successfully assist. I presume this is webi 3.1.x or 4.1.x and I presume that the Sales Amount is a measure and that your query includes a date which does not include a time component. If you only have these two objects in your results pane and have the region in your conditions then pulling something like [Date] and sum([Sales Amt]) should not take long to execute. As previous poster suggests, try to execute the sql in a tool like SQL*Developer or Management Studio or however the source database / OLAP is stored.
Even though you've limited the data to a "region" this may be too much data. Try selecting a smaller result set of 100 rows or changing the option for "retrieve duplicate rows" on the query panel.
If possible, post the query from your report using generic object names?
I have a table that has ordernumber, cancelled date and reason.
Reason field is varchar(255) field and it was written by many different sales rep and really hard to group by the reason category I need to generate a report to categorize cancelation reasons. What is the best way to analyse the reasons with TSQL?
Sample of reasons entered by sales rep
cust already has this order going out
cust can not hold for item Called to cancel order
cust doesn't want to pay for shipping
wife ordered same item from different vendor, sent email
cst made a duplicate order, sent email
cst can't hold
Cust doesn't want to go through verification process so is cancelling order
doesn't ant to hold for Bo
doesn't want
Cust called to cancel the order He can no longer get the product he wants
cnt hld
will not comply with export req
cant' hold
Custs request
Cust will not hold for BO
per. cust. request.
BTW I have SQL Server 2005.
part of your problem is that this these aren't truly reason codes. sounds like an issue with your schema to me. if there aren't predefined reason codes to reference and you're allowing free text entry for each reason, then there's really no way to do this directly, outside of pulling distinct reasons back, which is probably not going to be very useful.
just an idea, can you add another column to the table, even if it's in a temp or test environment and then give the business users the ability to assign a code (e.g. 1 for mis-ships, 2 for duplicate orders, 3 for wrong item etc.) to each order cancellation. then perform the analysis on that.
i assume that's what they're expecting from you, but i don't know that i see any better way. you could always perform the analysis yourself if you have the authority/knowledge but this might be painful if you have a ton of cancellations.
edit- i see now that you've tagged this with regex... it would be possible to setup specified keywords to pull out the entries, but there'd have to be some tolerance built in and still manual analysis afterwards for items which don't fall into any specified category due to misspellings etc. /edit
+1 to #jmatthews, you really need to have reason codes that are selected and then possibly allow free-form entry for the full reason.
If this isn't an option you can look into text clustering. Don't expect that to be fast or easy though, it's still an open research topic and is related to both AI and machine learning.
Look at Term Lookup in SSIS, here is an article to read.