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I have 2 date fields from 2 different tables. I want to find the date difference between the date fields. So, I created a measure as follows:
Measure = DATEDIFF ( SELECTEDVALUE ( 'Table 1'[Start_date] ), SELECTEDVALUE ( 'Table 2'[End_date] ), DAY )
This is not working for the huge amount of data, its only loading . If I want to create a column, what is the dax for it. What is the solution for this?
Solved! Go to Solution.
Hi @Anonymous ,
You can try this calculate column :
Hi @Anonymous ,
First you should create relationship between two tables:
1:1 relationship:
For 1:1 relationship you can use this calculate column in 1 site:
Column = DATEDIFF(Table1[Start Date],RELATED(Table2[End Date]),DAY)
1:* relationship:
For 1:* relationship, you can use this calculate column in 1 site:
Column = DATEDIFF(MAXX(RELATEDTABLE(Table3),'Table3'[Start Date]),Table2[End Date],DAY)
Or you can use another calculate column in * site:
Column = DATEDIFF(Table3[Start Date],RELATED(Table2[End Date]),DAY)
Here is the demo , please try it:
1:1 table relationship, please refer table1 and table2, 1:* table relationship, please refer table2 and table3
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hi,
In my scenario, the relationship between the dimension table and fact table is 'many-to-many' . Could I know what is the solution for it?
Hi @Anonymous ,
You can try this calculate column :
Excellent solution. Thank you. !!!
Wow, thank you so much. It works
Scenario 1:
Table 1:
ID | F_Nol_ dt | Recovery_dt |
1 | 11-Feb-2020 | 11-Feb-2020 |
Table 2:
ID | Closing_dt |
1 | 14-Feb-2020 |
In above scenario, if I calculate the date difference using the Dax
Date_diff = DATEDIFF(Table1[Recovery_dt],MAXX(RELATEDTABLE(Table2),Table2[Closing_dt]),DAY)
I am getting a correct value of date difference in a many to many relationship.
Output:
ID | F_Nol_ dt | Closing_dt | Date_diff |
1 | 11-Feb-2020 | 11-Feb-2020 | 3 |
Scenario 2:
Table 3:
ID | F_Nol_ dt | Recovery_dt |
1 | 11-Feb-2020 | 11-Feb-2020 |
1 | 11-Feb-2020 | 12-Feb_2020 |
Table 4:
ID | Closing_dt |
1 | 14-Feb-2020 |
2 | 19-Feb-2020 |
In above scenario, if I calculate the date difference using the Dax
Date_diff = DATEDIFF(Table3[Recovery_dt],MAXX(RELATEDTABLE(Table4),Table4[Closing_dt]),DAY)
I am not getting a correct value of date difference in a many to many relationship.
Output:
ID | F_Nol_ dt | Closing_dt | Date_diff |
1 | 11-Feb-2020 | 11-Feb-2020 | 6 |
If you just want the number of days, then you can just subtract the two dates from one another and multiply by 1.0. Are the two tables related to one another and is it 1:1 or 1:many or ? Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
Can you explain a little better how the data model is structured? Are the two tables linked through a relationship? Are they dimensions to another table?
If they are linked through a relationship you can create a column like:
Datediff(Table1[Start_date],RELATED(Table2[End_date]),DAY)
Then SUM the result column in a measure and display it in a chart
If they are dimensions to another table you have to use a related also on the first table to retrieve the value from both tables.
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