Calculating a time duration since a previous timestamp, without calculated columns

[NonprofitWizard]

Hi there.

This is my first post - which I'm writing after struggling for many hours to write an efficient measure 🙃. I am a BI developer for a Warehouse, and my task is to calculate the number of seconds that elapse since a previous pallet was loaded to a truck. So how many seconds passed since the last time a user performed a loading transaction.

I was able to accomplish this in Excel by adding calculated columns in excel, but I want to avoid calculated columns for this if I can because my data has many other function types other than Loading, millions of rows, plus I would need to have a consultant add them to the model sadly. That calculated column looked like this:

=CALCULATE(MAX(Table[date_time]), FILTER(Table, EARLIER(Table[pallet_id]) = Table[pallet_id] && EARLIER(Table[date_time]) > Table[date_time]), Table[function] = "Load")

Below is a few minutes of transaction data to show what I'm lookin at. One complication is as you can see, when a pallet is scanned, every sku on the same pallet gets it's own row, with mostly the same date_time stamp.

My goal is to be able to have a table of pallet_id's, and the number of seconds that passed. Does anyone have any suggestions how I could calculate this measure in an efficent manner?

date_time function user  truck# pallet_id sku

5:58:26 AM	Load	1092	10	101	a
5:58:26 AM	Load	1092	10	101	b
5:58:26 AM	Load	1092	10	101	c
5:58:26 AM	Load	1092	10	101	d
5:58:26 AM	Load	1092	10	101	e
5:58:26 AM	Load	1092	10	101	f
6:01:55 AM	Load	1092	10	102	a
6:01:55 AM	Load	1092	10	102	b
6:01:55 AM	Load	1092	10	102	c
6:01:55 AM	Load	1092	10	102	d
6:02:01 AM	Load	1092	9	103	a
6:02:01 AM	Load	1092	9	103	b
6:02:01 AM	Load	1092	9	103	c
6:02:01 AM	Load	1092	9	103	d
6:02:01 AM	Load	1092	9	103	e
6:02:16 AM	Load	1092	9	104	a
6:02:16 AM	Load	1092	9	104	b
6:02:16 AM	Load	1092	9	104	c
6:02:16 AM	Load	1092	9	104	d
6:02:16 AM	Load	1092	9	104	e
6:02:16 AM	Load	1092	9	104	f

[tamerj1 · Accepted solution]

@NonprofitWizard 

This calculation will be done for each user separately?

[NonprofitWizard · Accepted solution]

Thanks for your response @Anonymous . This isn't what I'm looking for.

See the images of my desired result + calculated Column. I want to get to this without any calculated columns, just a measure:

The measure I used is simply 

Seconds Between Loads = DATEDIFF(MAX(Table1[Last Pallet Loaded]), MAX(Table1[date_time]),SECOND)

[Anonymous]

Hi  @NonprofitWizard ,

Please refer to my pbix file to see if it helps you.

Create  a measure.

Measure =
VAR _min =
    CALCULATE (
        MIN ( 'Table'[date_time] ),
        FILTER (
            ALL ( 'Table' ),
            'Table'[user] = SELECTEDVALUE ( 'Table'[user] )
                && 'Table'[sku] = SELECTEDVALUE ( 'Table'[sku] )
        )
    )
VAR _next =
    CALCULATE (
        MAX ( 'Table'[date_time] ),
        FILTER (
            ALL ( 'Table' ),
            'Table'[rankx]
                = SELECTEDVALUE ( 'Table'[rankx] ) - 1
                && 'Table'[sku] = SELECTEDVALUE ( 'Table'[sku] )
        )
    )
VAR _now =
    MAX ( 'Table'[date_time] )
RETURN
    IF ( MAX ( 'Table'[date_time] ) = _min, 0, DATEDIFF ( _next, _now, SECOND ) )

If I have misunderstood your meaning, please provide y more details with your desired output.

Best Regards
Community Support Team _ Polly

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[NonprofitWizard · Accepted solution]

Thanks for your response @Anonymous . This isn't what I'm looking for.

See the images of my desired result + calculated Column. I want to get to this without any calculated columns, just a measure:

The measure I used is simply 

Seconds Between Loads = DATEDIFF(MAX(Table1[Last Pallet Loaded]), MAX(Table1[date_time]),SECOND)

[NonprofitWizard]

This wasn't the solution, not sure why it's labeled that way

[tamerj1 · Accepted solution]

Hi @NonprofitWizard 
Somehow I missed to answer this query. Aplogies for that.

Here is a sample file with the proposed solution https://we.tl/t-Rc90TG1vUz

Measure Tamer = 
SUMX (
    SUMMARIZE ( 'Table', 'Table'[user], 'Table'[pallet_id] ),
    CALCULATE (
        VAR CurrentPallet =
            SELECTEDVALUE ( 'Table'[pallet_id] )
        VAR CurrentUserTable =
            CALCULATETABLE ( 'Table', ALLEXCEPT ( 'Table', 'Table'[user] ) )
        VAR PreviousPalletsTable =
            FILTER ( CurrentUserTable, 'Table'[pallet_id] < CurrentPallet )
        VAR PreviousPallet = MAXX ( PreviousPalletsTable, 'Table'[pallet_id] )
        VAR PreviousPalletRecord = 
            FILTER ( PreviousPalletsTable, 'Table'[pallet_id] = PreviousPallet )
        VAR CurrentPalletStart =
            MIN ( 'Table'[date_time] )
        VAR PreviousPalletEnd =
            MAXX ( PreviousPalletRecord, 'Table'[date_time] )
        RETURN
            DATEDIFF ( PreviousPalletEnd, CurrentPalletStart, SECOND )
    )
)

[NonprofitWizard]

Okay this works in my simulation - but why does my actual model run out of resources after 5 minutes of calculating😑. The entire facts table only has 4.2 million records, about 10% of which are Load records.

Maybe I need to message the consultant and figure out what's up.

I'm going to mark this as a solution for others even though it doesn't work for me. Thank you so much...

[tamerj1]

Hi @NonprofitWizard 

would you please present the expected result let's say for pallet "a"?

[NonprofitWizard]

Apoligies, I'm not sure the best way to format the tables... pallet_id's are actually labeled 101 - 104 in my examples, a-f are for the sku.

Like this:

Pallet_ID        Seconds Since Last Load

102	209
103	6
104	15

Note how in the sample data, pallet_id 104 was loaded at 6:02:16 AM, while pallet_id 103 was the most recent pallet loaded 6:02:01 AM. These seconds that elapsed between the pallets was 15.

For pallet 101 there is no value because it was the first pallet loaded.

[tamerj1 · Accepted solution]

@NonprofitWizard 

This calculation will be done for each user separately?

[NonprofitWizard]

That's correct, time between each users transactions is probably the most important data I want to see. Then I'd eventually want to also display time between each consectuve pallet by truck#, etc.

This is what I have in a pivot table using the calculated columns:

Date	user_id	truck_#	Pallet Tag	Load Duration (Seconds)
#######	1092	10	111
			112	223
			113	6
			114	209
	5028	9	201
			202	95
			203	27