Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hello,
I have got 2 tables with different columns, but wto columns are same, date and customerID. I would like to do distinctcount to count all customerIDs from these two tables.
As shown in the picture, correct result I am expecting is 4.
Any suggestions? Thx
Solved! Go to Solution.
Hi @mstefancik,
You could try this:
First calculate a new table having the values of CustomerID from Table1 and Table2
Table = UNION (VALUES( 'Table1'[CustomerID] ), VALUES (Table2[CustomerID] ) )
And then create a measure that counts the distinct values in the new table
Distinct Customers = DISTINCTCOUNT('Table'[CustomerID])
Hi @mstefancik,
In addition, you can also use "Append Queries" feature in Query Editor to append Table2 to Table1. The new table looks like below:
Then create a measure to return the count of distinct values:
If you have any question, please feel free to ask.
Best Regards,
Qiuyun Yu
Hi @mstefancik,
You could try this:
First calculate a new table having the values of CustomerID from Table1 and Table2
Table = UNION (VALUES( 'Table1'[CustomerID] ), VALUES (Table2[CustomerID] ) )
And then create a measure that counts the distinct values in the new table
Distinct Customers = DISTINCTCOUNT('Table'[CustomerID])
An alternative solution could be to select the distinct values into you table and then just create a count of the rows in your new table - I would suspect this approach to be faster, but you really need to test this.
Table:
Table = DISTINCT( UNION (VALUES( 'Table1'[CustomerID] ); VALUES (Table2[CustomerID] ) ) )
Measure:
Distinct Customers = COUNTROWS('Table')
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 44 | |
| 43 | |
| 38 | |
| 18 | |
| 16 |
| User | Count |
|---|---|
| 67 | |
| 63 | |
| 30 | |
| 30 | |
| 23 |