Replicate LAG T-SQL function logic

[Anonymous]

Hello, 

I was hoping to get an answer to this problem both in DAX and M. 

I am trying to replicate LAG T-SQL function below and return number of days since the last order

SELECT
  CustomerID
, SalesOrderID
, CAST(OrderDate as DATE) AS OrderDate
, DATEDIFF(d,LAG(OrderDate) OVER (PARTITION BY CustomerID ORDER BY SalesOrderID), OrderDate) as DaysSinceLastOrder
FROM Sales.SalesOrderHeader;

We are trying to get here is the number of days since the last order.

e.g. 7/22/2005 to 7/22/2007 is 730 days and 

7/22/2007 to 11/4/2007 is 105 days 

CustomerID	SalesOrderID	OrderDate	DaysSinceLastOrder
11000	43793	7/22/2005	NULL
11000	51522	7/22/2007	730
11000	57418	11/4/2007	105
11001	43767	7/18/2005	NULL
11001	51493	7/20/2007	732
11001	72773	6/12/2008	328
11002	43736	7/10/2005	NULL
11002	51238	7/4/2007	724
11002	53237	8/27/2007	54
11003	43701	7/1/2005	NULL
11003	51315	7/9/2007	738
11003	57783	11/11/2007	125
11004	43810	7/26/2005	NULL
11004	51595	7/26/2007	730
11004	57293	11/2/2007	99

I started putting together a DAX code but it returns total number of days which for the exaple above for the 3 row instead of 105 return  835 (730+105). 

Spoiler

  = DATEDIFF(
        CALCULATE(MIN(LAGfunction[OrderDate]), ALLEXCEPT(LAGfunction, LAGfunction[CustomerID]) ),
        CALCULATE(MAX(LAGfunction[OrderDate]), ALLEXCEPT(LAGfunction,  LAGfunction[CustomerID], LAGfunction[SalesOrderID]) ),
        DAY 
    )

Thank you

[v-lili6-msft · Accepted solution]

hi, @Anonymous

    After my research, you can do these follow my steps as below:

Step1:

use rankx function to add a group rank column

group rank = RANKX(FILTER(LAGfunction,LAGfunction[CustomerID]=EARLIER(LAGfunction[CustomerID])),LAGfunction[SalesOrderID],,ASC)

Step2:

use eralier function to add the result column

Column = DATEDIFF(CALCULATE(MAX(LAGfunction[OrderDate]),FILTER(LAGfunction,LAGfunction[CustomerID]=EARLIER(LAGfunction[CustomerID])&&LAGfunction[group rank]=EARLIER(LAGfunction[group rank])-1)),LAGfunction[OrderDate],DAY)

Result:

here is pbix, please try it.

https://www.dropbox.com/s/8ivwqgzxqmk7byg/Replicate%20LAG%20T-SQL%20function%20logic.pbix?dl=0

Best Regards,

Lin

[Ashish_Mathur · Accepted solution]

Hi,

Try this calculated column formula

=if(ISBLANK(CALCULATE(MAX(Data[OrderDate]),FILTER(Data,Data[CustomerID]=EARLIER(Data[CustomerID])&&Data[OrderDate]<EARLIER(Data[OrderDate])))),BLANK(),[OrderDate]-CALCULATE(MAX(Data[OrderDate]),FILTER(Data,Data[CustomerID]=EARLIER(Data[CustomerID])&&Data[OrderDate]<EARLIER(Data[OrderDate]))))

Hope this helps.

[v-lili6-msft · Accepted solution]

hi, @Anonymous

    After my research, you can do these follow my steps as below:

Step1:

use rankx function to add a group rank column

group rank = RANKX(FILTER(LAGfunction,LAGfunction[CustomerID]=EARLIER(LAGfunction[CustomerID])),LAGfunction[SalesOrderID],,ASC)

Step2:

use eralier function to add the result column

Column = DATEDIFF(CALCULATE(MAX(LAGfunction[OrderDate]),FILTER(LAGfunction,LAGfunction[CustomerID]=EARLIER(LAGfunction[CustomerID])&&LAGfunction[group rank]=EARLIER(LAGfunction[group rank])-1)),LAGfunction[OrderDate],DAY)

Result:

here is pbix, please try it.

https://www.dropbox.com/s/8ivwqgzxqmk7byg/Replicate%20LAG%20T-SQL%20function%20logic.pbix?dl=0

Best Regards,

Lin