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Anonymous
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## Dax expression for multiple tables columns passing as a filter in calculate measure.

I have few tables - Date, Store, Item , product tables

From Date Table - Date(YEAR), Date(Month)
From Store Table - Store(RUName)

From Item Table - Item(itemName)
From Product Table - Product(ProductName)
And Now I have one Measure ie., [SP]

I am trying to retrieve the [SP] data with all above filter values

Can I get some logic, how I can pass all those filters in DAX

1 ACCEPTED SOLUTION
Community Support

Hi  @Anonymous ,

I think there should be a data table with [Year], [Month] or [YearMonth]/[Date],[RUName],[ItemName],[ProductName] and [Value] columns in it. Measure [SP] is based on [Value] column in data table.

So, if you create relationships as amitchandak mentioned, you can filter [SP] measure by slicer or filter by columns in these four tables.

Relationship Sample should looks like as below. These four tables are Dim tables.

Date[YearMonth]/[Date] - Data[YearMonth]/[Date]
Store[RUName] - Data[RUName]

Item[itemName] - Data[itemName]
Product[ProductName] - Data[ProductName]

If Date table and Data table only has [Year] and [Month] instead of [YearMonth] or [Date]. There could only be one active relationship. So you can try USERELATIONSHIO function in DAX.

``````SP =
CALCULATE (
SUM ( 'Data'[Value] ),
USERELATIONSHIP ( 'Date'[Month], 'Data'[Month] )
)``````

If there are no relationships between your Data table and these four Dimtables, you can try this code.

``````SP =
VAR _SELECTYEAR =
VALUES ( 'Date'[Year] )
VAR _SELECTMONTH =
VALUES ( 'Date'[Month] )
VAR _SELECTRUName =
VALUES ( 'Store'[RUName] )
VAR _SELECTItemName =
VALUES ( 'Item'[itemName] )
VAR _SELECTProductName =
VALUES ( 'Product'[ProductName] )
RETURN
CALCULATE (
SUM ( 'Data'[Value] ),
FILTER (
'Data',
'Data'[Year]
IN _SELECTYEAR
&& 'Data'[Month]
IN _SELECTMONTH
&& 'Data'[RUName]
IN _SELECTRUName
&& 'Data'[itemName]
IN _SELECTItemName
&& 'Data'[ProductName] IN _SELECTProductName
)
)``````

Then you can filter [SP] by slicers or filters from columns in these four dimtables as well.

Best Regards,
Rico Zhou

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

2 REPLIES 2
Community Support

Hi  @Anonymous ,

I think there should be a data table with [Year], [Month] or [YearMonth]/[Date],[RUName],[ItemName],[ProductName] and [Value] columns in it. Measure [SP] is based on [Value] column in data table.

So, if you create relationships as amitchandak mentioned, you can filter [SP] measure by slicer or filter by columns in these four tables.

Relationship Sample should looks like as below. These four tables are Dim tables.

Date[YearMonth]/[Date] - Data[YearMonth]/[Date]
Store[RUName] - Data[RUName]

Item[itemName] - Data[itemName]
Product[ProductName] - Data[ProductName]

If Date table and Data table only has [Year] and [Month] instead of [YearMonth] or [Date]. There could only be one active relationship. So you can try USERELATIONSHIO function in DAX.

``````SP =
CALCULATE (
SUM ( 'Data'[Value] ),
USERELATIONSHIP ( 'Date'[Month], 'Data'[Month] )
)``````

If there are no relationships between your Data table and these four Dimtables, you can try this code.

``````SP =
VAR _SELECTYEAR =
VALUES ( 'Date'[Year] )
VAR _SELECTMONTH =
VALUES ( 'Date'[Month] )
VAR _SELECTRUName =
VALUES ( 'Store'[RUName] )
VAR _SELECTItemName =
VALUES ( 'Item'[itemName] )
VAR _SELECTProductName =
VALUES ( 'Product'[ProductName] )
RETURN
CALCULATE (
SUM ( 'Data'[Value] ),
FILTER (
'Data',
'Data'[Year]
IN _SELECTYEAR
&& 'Data'[Month]
IN _SELECTMONTH
&& 'Data'[RUName]
IN _SELECTRUName
&& 'Data'[itemName]
IN _SELECTItemName
&& 'Data'[ProductName] IN _SELECTProductName
)
)``````

Then you can filter [SP] by slicers or filters from columns in these four dimtables as well.

Best Regards,
Rico Zhou

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Super User

@Anonymous , if the table which has the base columns [SP] is joined with these tables/dimensions. And these dimensions are fitting that table (on the many side in on to many, and have bi-direction join in case of many to many). Then slicer should automatically filter the measure

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