Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
I have a table (the table name is "Tickets") that has 53,000 ticket #s. On this table, the ticket #s are all unique. I have another table (the table name is "Ticket History") that includes ticket #s and multiple rows of that ticket # that document all the history of the ticket (change of team or change of assignee, etc.). The data may consist of 4 rows for, example, for ticket # 126748, because it was assigned to 4 different teams. This ticket history table is extremely large, well over 2 million rows.
What I am trying to do is create a third table that if the "Ticket History" table contains any of the ticket #s from the "Tickets" table, to show all of the rows where that ticket # displays. Here is an example:
How would I go about doing this using DAX to create a third table? The "Tickets" and "Ticket History" tables do not have have the same amount of columns, if that makes a difference and there is no relationship between the tables.
Solved! Go to Solution.
Hi @bballjoe12 ,
You mean remove all rows from Tickets History table where thicket numbers have not appeared in Ticket Number table?
This dax code:
Combined Tables = FILTER('Ticket History',[Ticket Numbers] in VALUES(Tickets[Ticket Numbers]))
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @bballjoe12 ,
You mean remove all rows from Tickets History table where thicket numbers have not appeared in Ticket Number table?
This dax code:
Combined Tables = FILTER('Ticket History',[Ticket Numbers] in VALUES(Tickets[Ticket Numbers]))
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@bballjoe12 , In power query you can use merge.
https://radacad.com/append-vs-merge-in-power-bi-and-power-query
and in Dax you can try natural inner join
https://www.sqlbi.com/articles/from-sql-to-dax-joining-tables/
I tried the innerjoin route and got this error message:
'No common join columns detected. The join function 'NATURALLEFTOUTERJOIN' requires at-least one common join column.'
Check out the July 2025 Power BI update to learn about new features.
User | Count |
---|---|
23 | |
8 | |
7 | |
6 | |
6 |
User | Count |
---|---|
28 | |
12 | |
10 | |
10 | |
6 |