Lookup Column Issue - List View Threshold exceeded - sharepoint-2010

We use Sharepoint Foundation 2010 and we have 2 Lists in a site. Those are:
Customers List.
Sale Invoices List.
Customers List has Title field as Unique & Indexed Column.
Sale Invoices List has a lookup column (i.e., Customer) from the Customers List (Title).
My issue is:
Customers List has just crossed 5000 items. When I try to add a List Item in Sale Invoices List (where I have Lookup Column from Customers List), it throws an error as given below:
Error Message:- This is a lookup column that displays data from another list that currently exceeds the List View Threshold defined by the administrator (5000). To add items to the current list, please ask the list owner to remove this column.
I have increased temporarily the List View Threshold Limit to 6000 Items. It’s working fine now.
Is there any solution to fix the issue without increasing the List Items Threshold Limit?
Thanks in Advance.

You should look into archiving list items. Another thing you can think about doing is creating different lists for different time periods so that you can avoid this List View Threshold and your list queries can be as fast as possible.
Check this out: http://referpages.com/wp/2012/04/101/

Related

How do I create SQL script to create a new column in the dataset and generating a subcategory on each item if it matches another table?

enter image description hereMy business task is to match our sales data with subcategories based on UPCs in our master spreadsheet. That way, we can make better data viz comparing product sales within each subcategory. What is the best way to approach this problem?
I have 4 year's worth sales data that carries product name, quantity sold, and main categories per line. It does not have subcategories. I oversee the data through Connected Sheets, generate a pivot table with desired outputs in the rows and columns, and then I built a FILTER function/VLOOKUP function in google sheets in order to search for a product subcategory based on its UPC. Since the data set is huge, I am running into some problems where it would not produce subcategory results if its a discontinued item or if there are duplicates in my master list of subcategories per product.
I think it would be more efficient if I created a table of our items from our master spreadsheet and downloaded that table into Bigquery so that I would have a subcategory matched to the UPC code. From there, I'd create a query to have a new column generated in the sales data to populate a subcategory IF the UPC code of the product on the line would match the UPC on the table I've added.
Does that make sense? How would I go about doing that? What would the SQL look like in order to perform such task?
I haven't started the task yet, still exploring options on BigQuery and/or Connected Sheets. Any help would be appreciated!

Bulk data filters in Tableau

Our organization is in e-commerce and users are looking to change a filter everyday with a different list of items, and none of the users will have their own license, just read-only access. The data is connected through Google Big Query, is there a way to have this bulk filter upload capability without the License owners having to touch the filter each time?
Example
Product ID is the filter
Monday: they have a list of 10,000 ID's they want to check sales for
Tuesday: They have a new list of 4,000 different ID's they want to check sales for.
Without clicking each ID each time, is there a way to just upload a list, csv, google sheet etc.
We thought users can upload a list of Product ids to Google sheets which can map to a BigQuery table. We can use it to join with the sales table and get the relevant data. However this becomes unmanageable when we have more than 1 user as users might step on to others data.
Any suggestions/recommendations are welcome. Our team is pretty new to Tableau as such. Let me know if any additional details are needed.
Have you tried changing the filter type to "Multi Values (custom list)" and then having the report user paste their list into the filter? See below:

Acess Report - Sum the Value of a Field If the value of another Field Matches Criteria

I have an Access Database and i'm trying to create a report that has me a bit stumped. Basically this report is going to display each employee's order processing performance based on a user specified date range, the report gives an itemized detail of each unique product on the order and it's price and Quantity.
Each Product has an 'Assembly Category' either 'DRFLUSH' or 'FRAME'.
In the summary of each Order i want to total the Quantities of each Assembly Category in a separate field.
Initially i rushed this report and have now found that the way i intended on completing this task is incorrect as the value given is only a Count of how many times an instance of each value 'DRFLUSH' or 'FRAME' occurs. I started with as follows: (Please ignore the bad practice with field naming i have taken this database on from a previous employee).
=Count(IIf([ASSEMBLY ITEM CATEGORY]="FRAME",1,Null))
And
=Count(IIf([ASSEMBLY ITEM CATEGORY]="DRFLUSH",1,Null))
However as previously stated this is wrong. I want the fields to sum the Quantity of each line item but only where the criteria is matched.
Any help is greatly appreciated, i'm sure this is a ridiculously simple task however i just cannot seem to wrap my head around it today.
Thanks
Alex
Sorted this by changing the statements to as follows:
=Count(IIf([ASSEMBLY ITEM CATEGORY]="FRAME",[QTY],Null))
=Count(IIf([ASSEMBLY ITEM CATEGORY]="DRFLUSH",[QTY],Null))

MS Access manual Auto incrementing field

Im building a system for my company to keep track of internal orders, inbetween our warehouses, we have material that goes out warehouse 1 to warehouse 2 and we kind of lose track of how much of "x" is in warehouse 1 and how much in warehouse 2, so i want to implement this access db where a user fills a form and says: order 1: 500 of "x" order 2: 300 of "y". then another user fills an exit form where he says 1 of "x" going out, so i would need the program to keep track of total order and how much as gone out to fill order 1 and so on...
My idea here is to have both an order number and an id number for each of "x" everytime someoneone assembles 1 "x" they fill the form and print a label directly from the access (i have this part working already) while keeping a record of when it was assembled, who verified and what was verified (it will work as a quality control also).
What i dont know is how to program the db so when it reaches 500 of "x", the id number for "x" starts again from 1
This is the one major issue with my program right now, i'm not experienced in access db's or vba, but im getting there with a tip and a trick from here and there, so, no need to be careful with the technical language, i will google it if i have to :p
EDIT:
The table structure goes as follows:
1 table as the main table where I record the check that is made for every product, where I include the model of the product, the said ID that I want to reset after a number of products checked, and a concatenated field that includes most of this information to generate a qr code.
Then there is a table for the Order Number, which is connected to a form to record each new order with a date/time field, the order number itself and the number of products. This number of products must then be called from the code that will count how many products have been checked to date and keep the order number field updated so we can keep track of the order.
Then there is another minor table just to get values for the form, the product models
Thank you for your answers ;)
See this MSDN Documentation
Unfortunately in Access, you cannot 'reset' an ID field, unless you move the records to a newly created table and use that table for every 500 records.
As for the user control and login form, I'm afraid those are separate questions that must be asked in a different thread.
To get you started:
You can set the RecordSource of a form to a table, and when users make entries, the data will be saved to the table. You can also use a form with controls (text boxes, comboboxes, etc.) and create a button that runs a query to insert these records into a table.
The login piece - you can encrypt the database with a password. That may/may not be sufficient.
I would suggest you change your schema, if possible. Something like the following:
Orders
OrderID (Autonumber)
ProductID (link to your Products table)
QuantityRequested
Deliverables
DeliverableID (Autonumber)
OrderID (link to your Orders table)
SequenceNumber: in the BeforeInsert event set this value equal to:
DCount("*", "Deliverables", "OrderID=" & Me.OrderID) + 1
I'm assuming that your form has a control named OrderID that is bound to the OrderID field of the Deliverables table.
The code uses the DCount() function to get the count of all the other deliverables that have already been created for this order. If this is the first deliverable, DCount() will return 0. It then adds 1 to this count to get the sequence number of the next deliverable.
If the new SequenceNumber is greater than the quantity requested, you could display a message saying that the order has been filled and cancel the creation of the Deliverable record.
This is just one approach and it is not a complete solution. I'm assuming that once assigned a sequence number a deliverable cannot be deleted. You might need to make allowances for deliverables that get lost or damaged. You could incorporate a status field to the Deliverable table to deal with this, but you would still need to make a decision about what to do with the SequenceNumber.

How to keep a list of 'used' data per user

I'm currently working on a project in MongoDB where I want to get a random sampling of new products from the DB. But my problem is not MongoDB specific, I think it's a general database question.
The scenario:
Let's say we have a collection (or table) of products. And we also have a collection (or table) of users. Every time a user logs in, they are presented with 10 products. These products are selected randomly from the collection/table. Easy enough, but the catch is that every time the user logs in, they must be presented with 10 products that they have NEVER SEEN BEFORE. The two obvious ways that I can think of solving this problem are:
Every user begins with their own private list of all products. Each time they get one of these products, the product is removed from their private list. The result is that the next time products are chosen from this previously trimmed list, it already contains only new items.
Every user has a private list of previously viewed products. When a user logs in, they select 10 random products from the master list, compare the id of each against their list of previously viewed products, and if the item appears on the previously viewed list, the application throws this one away selects a new one, and iterates until there are 10 new items, which it then adds to the previously viewed list for next time.
The problem with #1 is it seems like a tremendous waste. You would basically be duplicating the list data for n number of users. Also removing/adding new items to the system would be a nightmare since it would have to iterate through all users. #2 seems preferable, but it too has issues. You could end up making a lot of extra and unnecessary calls to the DB in order to guarantee 10 new products. As a user goes through more and more products, there are less new ones to choose from, so the chances of having to throw one away and get new one from the DB greatly increases.
Is there an alternative solution? My first and primary concern is performance. I will give up disk space in order to optimize performance.
Those 2 ways are a complete waste of both primary and secondary memory.
You want to show 2 never before seen products, but is this a real must?
If you have a lot of products 10 random ones have a high chance of being unique.
3 . You could list 10 random products, even though not as easy as in MySQL, still less complicated than 1 and 2.
If you don't care how random the sequence of id's is you could do this:
Create a single randomized table of just product id's and a sequential integer surrogate key column. Start each customer at a random point in the list on first login and cycle through the list ordered by that key. If you reach the end, start again from the top.
The customer record would contain a single value for the last product they saw (the surrogate from the randomized list, not the actual id). You'd then pull the next ten on login and do a single update to the customer. It wouldn't really be random, of course. But this kind of table-seed strategy is how a lot of simpler pseudo-random number generators work.
The only problem I see is if your product list grows more quickly than your users log in. Then they'd never see the portions of the list which appear before wherever they started. Even so, with a large list of products and very active users this should scale much better than storing everything they've seen. So if it doesn't matter that products appear in a set psuedo-random sequence, this might be a good fit for you.
Edit:
If you stored the first record they started with as well, you could still generate the list of all things seen. It would be everything between that value and last viewed.
How about doing this: crate a collection prodUser where you will have just the id of the product and the list of customersID, (who have seen these products) .
{
prodID : 1,
userID : []
}
when a customer logs in you find the 10 prodID which has not been assigned to that user
db.prodUser.find({
userID : {
$nin : [yourUser]
}
})
(For some reason $not is not working :-(. I do not have time to figure out why. If you will - plz let me know.). After showing the person his products - you can update his prodUser collection. To mitigate mongos inability to find random elements - you can insert elements randomly and just find first 10.
Everything should work really fast.