Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi all,
I am new to power BI.
I am trying to calculate the daily open pieces.
I am able to do this in excel, but when copieng to PBI I get a cyclic dependency.
Pieces requested = sum of all open pieces on a certain requested dispatch date
Pieces Shipped = sum of all pieces shipped on a certain loaded dispatch date
Backlog Formula = first row // =B3-D3 and from there on =C4-D4
Pieces requested +Backlog = first row // =B3 and from there on =B4+E3
I have tried working with offset, but only get a cyclic dependency.
Is there a solution doing it in this logic?
Much appreciate your help.
BR
Solved! Go to Solution.
Hi @Jaed ,
For this you need to create two different measures:
Pieces Requested + Backlog =
VAR temptable =
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Date] < MAX ( 'Table'[Date] ) )
RETURN
SUM ( 'Table'[Pieces Requested] )
+ SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
Backlog =
VAR temptable =
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Date] <= MAX ( 'Table'[Date] ) )
RETURN
SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
If you want to have this based on a column redo the formulas to:
Backlog Column =
VAR temptable =
FILTER ( 'Table', 'Table'[Date] <= EARLIER( 'Table'[Date] ) )
RETURN
SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
Pieces Requested + Backlog Column =
VAR temptable =
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Date] < EARLIER( 'Table'[Date] ) )
RETURN
'Table'[Pieces Requested]
+ SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @Jaed ,
For this you need to create two different measures:
Pieces Requested + Backlog =
VAR temptable =
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Date] < MAX ( 'Table'[Date] ) )
RETURN
SUM ( 'Table'[Pieces Requested] )
+ SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
Backlog =
VAR temptable =
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Date] <= MAX ( 'Table'[Date] ) )
RETURN
SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
If you want to have this based on a column redo the formulas to:
Backlog Column =
VAR temptable =
FILTER ( 'Table', 'Table'[Date] <= EARLIER( 'Table'[Date] ) )
RETURN
SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
Pieces Requested + Backlog Column =
VAR temptable =
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Date] < EARLIER( 'Table'[Date] ) )
RETURN
'Table'[Pieces Requested]
+ SUMX ( temptable, 'Table'[Pieces Requested] - 'Table'[Pieces Shiped] )
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsThank you very much 🙂
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 38 | |
| 36 | |
| 33 | |
| 31 | |
| 28 |
| User | Count |
|---|---|
| 129 | |
| 88 | |
| 79 | |
| 68 | |
| 63 |