Using ADDCOLUMNS instead of SUMMARIZE

[Pedro503]

Hey guys,

I've a huge dataset and I must summarize some of its values into a calendar-like table in order to better perform calculations with my measures. In this file I've created a smaller one just to exemplify what I aim to do.

The table that's generated off the SUMMARIZE measure brings the correct result, as follows:

@Summarized_tbl = 
SUMMARIZE(F_Table,
			    d_Calendario[Date],
				"@count",	VAR MAXDATE = MAX(d_Calendario[Date])
							VAR MINDATE = MIN(d_Calendario[Date])
							VAR CALCULO = COUNTROWS(FILTER(ALL(F_Table),
														[start]	<= 	MAXDATE	&&
														[end]	>=	MINDATE))
							RETURN CALCULO)

 Date  |   @count

1/1/2018	5
1/2/2018	14
1/3/2018	19
1/4/2018	30
1/5/2018	37
1/6/2018	43
1/7/2018	51
1/8/2018	58
1/9/2018	67
1/10/2018	73
1/11/2018	84
1/12/2018	93
1/13/2018	96
1/14/2018	99
1/15/2018	108

However, in my real dataset I'm not able to build this table using SUMMARIZE due to performance issues (whenever I need to create a column or a measure it takes almost two minutes), so that's the reason why I'm trying to create this table using ADDCOLUMNS, which in turn brings the wrong result, as follows:

@AddC_tbl = 
ADDCOLUMNS(
            VALUES(d_Calendario[Date]),
			"@count",	VAR MAXDATE = MAX(d_Calendario[Date])
						VAR MINDATE = MIN(d_Calendario[Date])
						VAR CALCULO = CALCULATE(
                                                COUNTROWS(
                                                    FILTER(F_Table,
                                                                [start]	<= 	MAXDATE	&&
                                                                [end]	>=	MINDATE)))
						RETURN CALCULO)

 Date  |   @count

01/01/2018	5
02/01/2018	9
03/01/2018	6
04/01/2018	11
05/01/2018	7
06/01/2018	7
07/01/2018	9
08/01/2018	7
09/01/2018	9
10/01/2018	6
11/01/2018	11
12/01/2018	9
13/01/2018	3
14/01/2018	3
15/01/2018	9

This calculation is simply counting how many records started on the row context date, but what I want to do is to count how many records was active on each month, as follows:

Any thoughts on what I'm doing wrong about tha ADDCOLUMNS DAX measure previously shown?

[Mikelytics]

HI @Pedro503 ,

Can you maybe show the data model and sample data?

Because if I do not miss something then the following measure should bring the same result like the first measure and if it does then it also should be more performant.

@Summarized_tbl = 

SUMMARIZE(
   d_Calendario,
   d_Calendario[Date],
   "@count",	
   COUNTROWS(F_Table)
)

I come to this conclusion because you calculate a min and max on the same column which you use for your summarization and then you do another calculation using the min and max. Fomr my understanding you have a date table and a fact table with 1:n relation ship and you want the count of rows per date. If that is the case the measure above should do the job as well as should be more performant.

Or am I missing here something?

Best regards

Michael

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[Pedro503 · Accepted solution]

The solution was wrapping the MAX and MIN formulas into CALCULATE and on the filter inside the COUNTROWS put an ALL.

@AddC_tbl = 
ADDCOLUMNS(
            VALUES(d_Calendario[Date]),
			"@count",	VAR MAXDATE = CALCULATE(MAX(d_Calendario[Date]))
						VAR MINDATE = CALCULATE(MIN(d_Calendario[Date]))
						VAR CALCULO = CALCULATE(
                                                COUNTROWS(
                                                    FILTER(ALL(F_Table),
                                                                [start]	<= 	MAXDATE	&&
                                                                [end]	>=	MINDATE)))
						RETURN CALCULO)

[Pedro503]

Thanks for your response

Dont know what's happening, but I cant paste the link here (the second line contains the link). The file is on the second line. Actually what I aim to do is to count how many records exists on every month, not necessarily to just count the rows.

For instance, some Id started on 01/01/2018 and was active untill 10/01/2018. I wanna indicate that on every month from January to October this subscription was active.

Jan	1
Feb	1
Mar	1
Apr	1
May	1
Jun	1
Jul	1
Aug	1
Sep	1
Oct	1

To do so, I compute the following Dax measure:

COUNTROWS(
          FILTER(ALL(F_Table),
														                    
          [start] <= MAXDATE &&
														 
          [end]   >= MINDATE))

Do you know how to enhance its performance using ADDCOLUMNS?