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DataScope06
Helper I
Helper I

LookupValue matching multiple columns error

I am having issues finding the correct value when matching two text values between tables.

 

My data model has two tables. The first table is sales_items. The second table is returned_items. I want to match on the order_id and the sku columns. Then find the price for the returned items. The price is found in the sales_items table. There is also a quantity_returned column in the returned_items table. My goal is to add a column to the returned_items table with the price from the sales_items table for each returned sku. This must be matched by the order_id because a sku's price can fluctuate.

 

My issue: An order can have multiple sku's, but only one of those skus might be returned by the customer. But I am unable to get a correct match between the order_id AND the purchased-returned skus. There is an active relationship between the sales_items[order_id] and returned_items[order_id]. I have an inactive relationship between sales_items[sku] and returned_item[sku].

 

Using the below code with LOOKUPVALUE, I get an error that says, "A table of multiple values was supplied where a single value was expected."

 

 

 

Returns Sum = LOOKUPVALUE(sales_order_item[price],sales_item[order_id],'Returned_items'[order_id], sales_item[sku],'Returned_items'[sku])

 

 

 

When I use the below code with the CALCULATE function, then the price for the first sku for the matching order_id is returned, regardless if it matches the sku in the returned_items table.

 

 

 

Returns Sum2 = CALCULATE(
    max(
        sales_item[price])
        FILTER(sales_order_item,
        Sales_item[order_id] = Returned_items[order_id] &&
         sales_order_item[sku] = 'Returned_items'[sku]
        )
        
)

 

 

Here are example tables:

Sales_items

order_idskupriceQuantity_ordered
112310.001
112415.001
112510.001
22345.001
233520.001
312310.002
455525.003
422210.001

 

returned_items

order_idskuquantity_returned
11231
11241
23351
31231
45553
42221
1 ACCEPTED SOLUTION
DataInsights
Super User
Super User

@DataScope06,

 

Here are two solutions. A relationship between the tables is not required.

 

1. Calculated column in table Returned_items:

 

Price = 
LOOKUPVALUE ( Sales_items[price], Sales_items[order_id], Returned_items[order_id], Sales_items[sku], Returned_items[sku] )

 

2. Calculated column in table Returned_items using a composite key. The composite key "order_id-sku" can be created in Power Query or DAX.

 

Price (composite key) = 
LOOKUPVALUE ( Sales_items[price], Sales_items[order_id-sku], Returned_items[order_id-sku] )

 

DataInsights_0-1674132508453.png

 





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View solution in original post

2 REPLIES 2
DataInsights
Super User
Super User

@DataScope06,

 

Here are two solutions. A relationship between the tables is not required.

 

1. Calculated column in table Returned_items:

 

Price = 
LOOKUPVALUE ( Sales_items[price], Sales_items[order_id], Returned_items[order_id], Sales_items[sku], Returned_items[sku] )

 

2. Calculated column in table Returned_items using a composite key. The composite key "order_id-sku" can be created in Power Query or DAX.

 

Price (composite key) = 
LOOKUPVALUE ( Sales_items[price], Sales_items[order_id-sku], Returned_items[order_id-sku] )

 

DataInsights_0-1674132508453.png

 





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




@DataInsights Your solution using LOOKUPVALUE ended up working. Which was the same function I had been trying to use. In my original post I had a typo that I went back and edited. The typo was just in this post though, not my workbook.

 

My real issue was my dataset did in fact have duplicate records. I was unaware that was possible in the database I pulled the data from. Hence the error stating, "A table of multiple values was supplied where a single value was expected."

Anyone who finds this question should verify their datasets do not have duplicate records if they see the table with multiple values error.

 

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