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unkCandyd
Frequent Visitor

Converting SQL to DAX function lag by partition

Hello Community, 

 

I would like to know if possible to convert this sql query to dax query. 

 

here is the query: 

SELECT * ,
Lag(User, 1,'') OVER( PARTITION BY id
ORDER BY Date ASC) AS UserTarget
FROM table

 

my table is: 

iddateactivitytarget actusertargetuser
110-Octeatdrinkab
110-Novdrinksleepbc
112-Decsleepxxxxcxxxx
210-Octeatdinkab
210-Novdrinksleepbc
212-Decsleepxxxxxcxxxxx

 

1 ACCEPTED SOLUTION
CNENFRNL
Community Champion
Community Champion

UserTarget = 
MAXX(
    TOPN(
        1,
        FILTER(
            TBL,
            TBL[id] = EARLIER( TBL[id] )
                && TBL[date] > EARLIER( TBL[date] )
        ),
        TBL[date], ASC
    ),
    TBL[user]
)

CNENFRNL_0-1667301395200.png


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

View solution in original post

1 REPLY 1
CNENFRNL
Community Champion
Community Champion

UserTarget = 
MAXX(
    TOPN(
        1,
        FILTER(
            TBL,
            TBL[id] = EARLIER( TBL[id] )
                && TBL[date] > EARLIER( TBL[date] )
        ),
        TBL[date], ASC
    ),
    TBL[user]
)

CNENFRNL_0-1667301395200.png


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

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