Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreGet certified in Microsoft Fabric—for free! For a limited time, get a free DP-600 exam voucher to use by the end of 2024. Register now
Hi all,
I have 2 tables like this :
Table 1
Ord_Number | Status |
10 | D |
20 | D |
30 | D |
Table 2
Ord_Number | Status |
40 | U |
50 | U |
and I have Table 3 have so many numbers including some values from table 1 & 2 like this:
Table 3
Ord_Number | Status |
10 | D |
15 | D |
20 | D |
45 | U |
50 | U |
So what i'm trying to do to show all the data who matched in table 1 and 2 like this:
Table 3
Ord_Number | Status |
10 | D |
20 | D |
50 | U |
Thanks all
Solved! Go to Solution.
Hi @Zilver ,
You could create a table to union table1 and table2 's column, then create relationship between table3, then use not blank in filter, which will work.
Or you also could use measure to achieve this goal(don't create relationship between new table and table 3). You could refer to my sample for details.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Zilver ,
You could create a table to union table1 and table2 's column, then create relationship between table3, then use not blank in filter, which will work.
Or you also could use measure to achieve this goal(don't create relationship between new table and table 3). You could refer to my sample for details.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Table 3, the last one is common of 1 and 2. But one and two had nothing common.
But refer
https://radacad.com/append-vs-merge-in-power-bi-and-power-query
Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution.
In case it does not help, please provide additional information and mark me with @
Thanks. My Recent Blogs -Decoding Direct Query - Time Intelligence, Winner Coloring on MAP, HR Analytics, Power BI Working with Non-Standard TimeAnd Comparing Data Across Date Ranges
Connect on Linkedin
So far what I did is I create table 3 and I put table 1&2 in (filter on this page) and I select filter type : basic filtering "select all" for both table. and ofc I create relationship between them as (many to one)(both).
and didn't work 😞
please if someone could help me how to fix that I really appreciate it.
What is the logic to achieve this table
Table 3
Ord_Number | Status |
10 | D |
20 | D |
50 | U |
I do have the same problem. In my specific case I use names instead of numbers. Imagine data since 2019 from my team. In all this team some people left the team. I have a table with EVERYONE since 2019 and another with only the ones that are in the team right now. I want to use my second table to filter he first one so only the values of the second will appear.
So in resume. The first table as thousand of rows and columns. And the second one only has the names that I wat to "filter".
Names | Age | ID | etc | etc | etc |
Mike | 74 | 1325 | etc | etc | etc |
Freddy | 26 | 1326 | etc | etc | etc |
Carl | 99 | 7653 | etc | etc | etc |
Mark | 34 | 1746 | etc | etc | etc |
John | 57 | 9816 | etc | etc | etc |
Mary | 86 | 2749 | etc | etc | etc |
Amitchandak | 30 | 5472 | etc | etc | etc |
Names |
John |
Mary |
Mark |
Amitchandak |
My final result should look like this
Name | Age | ID | etc | etc | etc |
Mary | 86 | 2749 | etc | etc | etc |
Mark | 34 | 1746 | etc | etc | etc |
Amitchandak | 30 | 5472 | etc | etc | etc |
John | 57 | 9816 | etc | etc | etc |
Also , this should be displayed in a bar chart
Hope it helps
Starting December 3, join live sessions with database experts and the Fabric product team to learn just how easy it is to get started.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early Bird pricing ends December 9th.
User | Count |
---|---|
87 | |
84 | |
82 | |
67 | |
49 |
User | Count |
---|---|
135 | |
111 | |
100 | |
65 | |
62 |