Forum Discussion
Time between two stamps
Dear Data gods,
Currently I'm working on a report in which we can monitor our machines active times (might be a bit difficult to explain). And I want to put that in a table, to show the uptime / downtime per hour. My dataset is shaped as followed:
Datestamp = Date of the record
Machine ID = ID of the machine (unique)
Status = Online/Busy/Offline
starttime = timestamp of the start of a new status
endtime = timestamp of the end of a status (just before it changes to another status)
duration = second between start and endtime
Each time a machine changes status, it will upload a new row (of the previous status). So when a machine starts running at 08:00 AM but changes to busy at 09:24. It will upload a new record with:
1/1/2019, 141, Online, 08:00, 09:24, 5040
When putting this in a table/matrix it will show "1:24:00" at 08:00.
How can i get it to show
08:00 - "1:00:00"
09:00 - "0:24:00"
Your help is greatly appriciated!
Fix it with creating a new table and joining it with the current on. All in dax, see formula below :)
Might not be the fastest with creating a fer variables, I still need to learn how to do it, but it gets the job done perfectly!PresenceGrouping = VAR __datetable = GENERATESERIES( MROUND(MIN(PowerBI_Status[Starttime + Date])-1/24, "1:00"), NOW()+1/24, TIME(1,0,0)) VAR __datetable1 = ADDCOLUMNS(__datetable, "_endtime", [Value] + 1/24) VAR __table2 = FILTER( CROSSJOIN(__datetable1, PowerBI_Status), [_endtime] >= PowerBI_Status[Starttime + Date] && [Value] <= PowerBI_Status[Endtime + Date]) VAR __table3 = SELECTCOLUMNS(__table2, [columns here, to much to show]) RETURN ADDCOLUMNS(__table3, "Seconds", SWITCH( TRUE(), [PresenceStart] < [Start] && [PresenceEnd] > [end], 3600, [PresenceStart] < [Start] && [PresenceEnd] <= [end], DATEDIFF([Start], [PresenceEnd], SECOND), [PresenceStart] >= [Start] && [PresenceEnd] > [end], DATEDIFF([PresenceStart], [end], SECOND), DATEDIFF([PresenceStart], [PresenceEnd], SECOND) ) )
11 Replies
Anonymous - OK, I came up with something:
Measure = VAR __currentHour = HOUR(MAX('Table2'[Hour])) VAR __startHour = HOUR(MAX('Table1'[Start])) VAR __endHour = HOUR(MAX('Table1'[End])) VAR __table = GENERATESERIES(__startHour,__endHour,1) VAR __table1 = ADDCOLUMNS(__table,"__minutes", SWITCH(TRUE(), __startHour < __endHour && [Value] <> __endHour,60, __startHour < __endHour && [Value] = __endHour,MINUTE(MAX('Table1'[End])), MINUTE(MAX(Table1[Start])) ) ) RETURN MAXX(FILTER(__table1,[Value] = __currentHour),[__minutes])See Table1 and Table2, Page 1 of attached.
That is exactly what I'm looking for, but when using the code on my data (after changing the values to fit my dataset), it returns the following error:
mdxScript(model)(141,15) Calculation error in measure 'PowerBI_statusupdates'[Time Per Hour'] : The arguments in GenerateSeries function cannot be blank.
I'm using a Date -> Time hierachy in the matrix. From both a Date table and a Time table.
So when the user selects a machine(id), it will show all available dates within the range, with all hours beneath them.
when adding the date to your solution, it gives me the same errorSounds like you have some blanks in your Start and End times, you'll have to check for that and, if so, probably set the end hour to the start hour I imagine.
Hmm, I have a couple thoughts on this I had to do some similar things for a manufacturing company with similar data. This was the origin of my MTBF artcle. http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/339586
Also, it seems similar to time interval type of issues which I have some quick measures for.
https://community.powerbi.com/t5/Quick-Measures-Gallery/Open-Tickets/m-p/409364
https://community.powerbi.com/t5/Quick-Measures-Gallery/Periodic-Billing/m-p/409365I also remember having to do some really funky "shift" calculations to calculate when a machine was running on what shift for how long. I'll have to see if I can dig those up. our case, it seems fairly tricky because I would assume that if a machine started at 07:59 AM and ran until 04:25 PM that you would want 1 minute for 7 and 60 minutes for all of the intervening hours and then 25 minutes for 4 PM, correct?
Hi Greg_Deckler the Datanaut
Thank you! I will need some time to go through all the posts, but i will report back with the results.
Also, yes at you question. That would be the ideal situation to achieve. That way we can analyse peak times, instead of manually calculating the duration per machine over the hours etc.
Fix it with creating a new table and joining it with the current on. All in dax, see formula below :)
Might not be the fastest with creating a fer variables, I still need to learn how to do it, but it gets the job done perfectly!PresenceGrouping = VAR __datetable = GENERATESERIES( MROUND(MIN(PowerBI_Status[Starttime + Date])-1/24, "1:00"), NOW()+1/24, TIME(1,0,0)) VAR __datetable1 = ADDCOLUMNS(__datetable, "_endtime", [Value] + 1/24) VAR __table2 = FILTER( CROSSJOIN(__datetable1, PowerBI_Status), [_endtime] >= PowerBI_Status[Starttime + Date] && [Value] <= PowerBI_Status[Endtime + Date]) VAR __table3 = SELECTCOLUMNS(__table2, [columns here, to much to show]) RETURN ADDCOLUMNS(__table3, "Seconds", SWITCH( TRUE(), [PresenceStart] < [Start] && [PresenceEnd] > [end], 3600, [PresenceStart] < [Start] && [PresenceEnd] <= [end], DATEDIFF([Start], [PresenceEnd], SECOND), [PresenceStart] >= [Start] && [PresenceEnd] > [end], DATEDIFF([PresenceStart], [end], SECOND), DATEDIFF([PresenceStart], [PresenceEnd], SECOND) ) )
