Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
a = select org from policy where policy = 123
then
b = select accno from policy where org in a
then
select org from policy where acc in b
i want to apply this logic in dax how can i get this
the performance should also be good
ok. what have you tried and where are you stuck?
I have tried it like this, its working but the performance impact is huge. I need it much quicker.
selectcolumns(filter(policy,policy[org] in (
selectcolumns(filter(policy,policy[account] in (
selectcolumns(filter(policy,policy[org] in (selectcolumns(filter(policy,policy[number]=123),"org",policy[org]))),"account",policy[account]))),"org",policy[org]))),"policy",policy[policy])
you can implement this easier via REMOVEFILTERS. It's a standard "filtering up" pattern.
Please provide sample data that fully covers your issue.
Please show the expected outcome based on the sample data you provided.
| account | org | pol |
| x | a | 789 |
| z | b | 456 |
| y | aa | 123 |
| z | aa | 101 |
| yz | c | 110 |
| y | d | 111 |
suppose this is my dataset, It should check from right to left.
1. for pol= 123 i am fetching all the org such as "aa" & "ab" as you can see.
2. Now based on org in (aa) i am fetching all accounts and the result will be y & z
2. Now based on account y & z it should fetch all the pol. such as 456,123,101,111. this is my final result i want.
How is pol 123 linked to org ab ?
apologies thats a mistake ive corrected now.
Org Pols =
var o = [ org]
var a = CALCULATETABLE(SUMMARIZE('Table',[account]),ALLSELECTED(),'Table'[ org]=o)
var b = CALCULATETABLE(SUMMARIZE('Table',[pol]),ALLSELECTED(),a)
return CONCATENATEX(b,[pol],",")
Org Pols is a calculated column
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 |
|---|---|
| 51 | |
| 37 | |
| 35 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 70 | |
| 64 | |
| 39 | |
| 33 | |
| 23 |