Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
Need a help for calculating sum of the job elapsed time, here the data between the jobs are overlapped(means few jobs started in parallel).
Please help.
Here is the sample data.
From JOB_ID : 14 to 20 , the Start time and End Time are slightly overlapped ; and the JOB_ID 17 covers the overall period between(14 to 20)
Batch_Date | JOB_ID | PRCS_START_TIME | PRCS_END_TIME |
2023-01-13 | 1 | 2023-01-13 11:36:34 | 2023-01-13 11:37:18 |
2023-01-13 | 2 | 2023-01-13 11:37:34 | 2023-01-13 11:39:34 |
2023-01-13 | 3 | 2023-01-13 11:39:53 | 2023-01-13 11:44:20 |
2023-01-13 | 4 | 2023-01-13 11:41:03 | 2023-01-13 11:41:34 |
2023-01-13 | 5 | 2023-01-13 11:41:51 | 2023-01-13 11:43:30 |
2023-01-13 | 6 | 2023-01-13 11:44:36 | 2023-01-13 11:45:41 |
2023-01-13 | 7 | 2023-01-13 11:45:57 | 2023-01-13 11:47:25 |
2023-01-13 | 8 | 2023-01-13 11:47:04 | 2023-01-13 11:47:40 |
2023-01-13 | 9 | 2023-01-13 11:47:04 | 2023-01-13 11:47:40 |
2023-01-13 | 10 | 2023-01-13 11:47:04 | 2023-01-13 11:47:41 |
2023-01-13 | 11 | 2023-01-13 11:47:04 | 2023-01-13 11:47:41 |
2023-01-13 | 12 | 2023-01-13 11:47:04 | 2023-01-13 11:47:41 |
2023-01-13 | 13 | 2023-01-13 11:47:05 | 2023-01-13 11:47:42 |
2023-01-13 | 14 | 2023-01-13 11:47:41 | 2023-01-13 11:49:01 |
2023-01-13 | 15 | 2023-01-13 11:47:44 | 2023-01-13 11:48:20 |
2023-01-13 | 16 | 2023-01-13 11:47:58 | 2023-01-13 11:49:30 |
2023-01-13 | 17 | 2023-01-13 11:47:58 | 2023-01-13 11:50:12 |
2023-01-13 | 18 | 2023-01-13 11:48:00 | 2023-01-13 11:49:52 |
2023-01-13 | 19 | 2023-01-13 11:48:00 | 2023-01-13 11:49:36 |
2023-01-13 | 20 | 2023-01-13 11:48:00 | 2023-01-13 11:49:36 |
Excepted output:
Total Elapsed Time for the below group : 2.14 minutes
2023-01-13 11:47:41 | 2023-01-13 11:49:01 |
2023-01-13 11:47:44 | 2023-01-13 11:48:20 |
2023-01-13 11:47:58 | 2023-01-13 11:49:30 |
2023-01-13 11:47:58 | 2023-01-13 11:50:12 |
2023-01-13 11:48:00 | 2023-01-13 11:49:52 |
2023-01-13 11:48:00 | 2023-01-13 11:49:36 |
2023-01-13 11:48:00 | 2023-01-13 11:49:36 |
Hi @Maximus ,
You can create a calculated column as below to get it, please find the details in the attachment.
Column =
VAR _count =
CALCULATE (
DISTINCTCOUNT ( 'Table'[PRCS_END_TIME] ),
FILTER (
'Table',
'Table'[Batch_Date] = EARLIER ( 'Table'[Batch_Date] )
&& 'Table'[PRCS_START_TIME] = EARLIER ( 'Table'[PRCS_START_TIME] )
)
)
VAR _nendtime =
CALCULATE (
MAX ( 'Table'[PRCS_END_TIME] ),
FILTER (
'Table',
'Table'[Batch_Date] = EARLIER ( 'Table'[Batch_Date] )
&& 'Table'[PRCS_START_TIME] = EARLIER ( 'Table'[PRCS_START_TIME] )
)
)
VAR _Seconds =
DATEDIFF ( 'Table'[PRCS_START_TIME], _nendtime, SECOND )
VAR _Minutes =
INT ( DIVIDE ( _Seconds, 60 ) )
VAR _RemainingSeconds =
MOD ( _Seconds, 60 )
VAR _Hours =
INT ( DIVIDE ( _Minutes, 60 ) )
VAR _RemainingMinutes =
MOD ( _Minutes, 60 )
RETURN
IF (
_count > 1
&& 'Table'[PRCS_END_TIME] = _nendtime,
FORMAT ( _Hours, "00" ) & ":"
& FORMAT ( _RemainingMinutes, "00" ) & ":"
& FORMAT ( _RemainingSeconds, "00" ),
BLANK ()
)
Best Regards
User | Count |
---|---|
23 | |
11 | |
8 | |
6 | |
6 |
User | Count |
---|---|
25 | |
12 | |
11 | |
7 | |
6 |