Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.
Hello, please can you help to find order duration based on starting and finishing time example like in column duration.
Order id | From | To | Duration |
0 | 23:00 | 23:03 | |
1306993 | 23:03 | 23:03 | |
1306993 | 23:03 | 23:06 | |
1306993 | 23:22 | 23:33 | |
1306993 | 23:33 | 23:33 | |
1306993 | 23:34 | 23:35 | |
1306993 | 23:35 | 23:37 | |
1306993 | 23:38 | 23:39 | |
1306993 | 23:42 | 23:43 | |
1306993 | 23:43 | 23:43 | 00:40 |
0 | 23:43 | 23:44 | |
1305300 | 23:44 | 23:45 | |
1305300 | 23:45 | 23:46 | |
1305300 | 23:47 | 23:47 | |
1305300 | 23:48 | 23:49 | |
1305300 | 23:54 | 23:54 | |
1305300 | 23:54 | 23:55 | |
1305300 | 23:56 | 23:59 | |
1305300 | 23:59 | 00:00 | |
1305300 | 00:00 | 00:01 | |
1305300 | 00:02 | 00:03 | |
1305300 | 00:03 | 00:03 | |
1305300 | 00:04 | 00:04 | |
1305300 | 00:04 | 00:07 | |
1305300 | 00:07 | 00:07 | |
1305300 | 00:07 | 00:08 | |
1305300 | 00:08 | 00:09 | 00:25 |
0 | 00:09 | 00:10 | |
1307012 | 00:53 | 00:54 | |
1307012 | 00:54 | 00:55 | |
1307012 | 00:56 | 00:58 | |
1307012 | 01:02 | 01:05 | 00:12 |
0 | 01:05 | 01:05 | |
1307031 | 01:05 | 01:05 | |
1307031 | 01:06 | 01:06 | |
1307031 | 01:11 | 01:11 | |
1307031 | 01:13 | 01:14 | |
1307031 | 01:19 | 01:42 | |
1307031 | 01:44 | 01:45 | |
1307031 | 01:45 | 01:46 | |
1307031 | 01:46 | 01:46 | 00:41 |
Hi @Wirestat
Please try
Duration (Minutes) =
SUMX (
VALUES ( 'Table'[Order ID] ),
VAR CurrentIDTable =
CALCULATETABLE ( 'Table', ALLEXCEPT ( 'Table', 'Table'[Order ID] ) )
VAR FirstStart =
MINX ( CurrentIDTable, 'Table'[From] )
VAR LastEnd =
MAXX ( CurrentIDTable, 'Table'[To] )
RETURN
DATEDIFF ( FirstStart, LastEnd, MINUTE )
)
Hi @Wirestat ,
Here are the steps you can follow:
1. . In Power Query -- Create Indices for the two tables -- Add Column – Index Column – From 1.
2. Create calculated column.
Rank =
RANKX(
FILTER(ALL('Table'),'Table'[Order id]=EARLIER('Table'[Order id])),[Index],,ASC)
Flag =
VAR _mindate =
MINX (
FILTER (
ALL ( 'Table' ),
'Table'[Order id] = EARLIER ( 'Table'[Order id] )
&& 'Table'[Rank]
= MINX (
FILTER ( ALL ( 'Table' ), 'Table'[Order id] = EARLIER ( 'Table'[Order id] ) ),
[Rank]
)
),
[From]
)
VAR _maxdate =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Order id] = EARLIER ( 'Table'[Order id] )
&& 'Table'[Rank]
= MAXX (
FILTER ( ALL ( 'Table' ), 'Table'[Order id] = EARLIER ( 'Table'[Order id] ) ),
[Rank]
)
),
[To]
)
VAR _datediff =
DATEDIFF ( _mindate, _maxdate, MINUTE )
RETURN
IF (
'Table'[Order id] = 0,
BLANK (),
IF (
VALUE ( LEFT ( _mindate, FIND ( ":", _mindate ) - 1 ) )
< VALUE ( LEFT ( _maxdate, FIND ( ":", _maxdate ) - 1 ) ),
_datediff + 24 * 60,
_datediff
)
)
Time =
var _hour=
QUOTIENT('Table'[Flag],60)
var _minute=
MOD('Table'[Flag],60)
return
IF(
[Flag]=BLANK(),BLANK(),
IF(
'Table'[Rank]=
MAXX(FILTER(ALL('Table'),'Table'[Order id]=EARLIER('Table'[Order id])),[Rank]),
TIME(
_hour,_minute,0),BLANK()))
3. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Check out the November 2023 Power BI update to learn about new features.