Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
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
Hi guys
This probably a simple question but hope you can shed some light. I have a table from web api call which has over 80,000 rows plus keeps on increasing week by week. Now, I need to an another table with the same number of rows. Currently, I use the below to create series and manually increase each week or increase one off to 90,000.
Solved! Go to Solution.
Hi @Sankzpower ,
Just add the following code refering to the first table:
Table 2 = GENERATESERIES(1, COUNTROWS('Table'))
Should work as expected.
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @Sankzpower ,
Just add the following code refering to the first table:
Table 2 = GENERATESERIES(1, COUNTROWS('Table'))
Should work as expected.
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi I'm using version 2.105.664.0 but this makes an error which says "The expression refers to multiple columns. Multiple columns cannot be converted to a scalar value".
My DAX is this.
Measured Table = SELECTCOLUMNS(FILTER('MyTable', 'MyTable'[MyColumn] <> BLANK()),
"Column1", [Column1],
"Column2", [Column2],
"Column3", GENERATESERIES(1, COUNTROWS(FILTER('MyTable', 'MyTable'[MyColumn] <> BLANK()))))
Hi @Anonymous ,
Be aware that the calculation it was given was for a table, you are using a metric and metrics only return a single value so in this case you are trying to return a table, that is why it's giving you the scalar value error.
What is the result you want to achieve in this?is it a table?
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsIf 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 |
|---|---|
| 53 | |
| 45 | |
| 44 | |
| 20 | |
| 19 |
| User | Count |
|---|---|
| 73 | |
| 71 | |
| 34 | |
| 33 | |
| 31 |