In case you missed the announcement: The Alteryx One Fall Release is here! Learn more about the new features and capabilities here
ACT NOW: The Alteryx team will be retiring support for Community account recovery and Community email-change requests after December 31, 2025. Set up your security questions now so you can recover your account anytime, just log out and back in to get started. Learn more here
Start Free Trial

Alteryx Designer Desktop Discussions

Find answers, ask questions, and share expertise about Alteryx Designer Desktop and Intelligence Suite.

How to iteratively join

Aliceyyy98
5 - Atom

Hi,

 

I would like to join in Dataset B to Dataset A, the two datasets have common columns 1,2,3,4,5,6. However, I would like to:

1. Join by 1,2,3,4,5,6

2. For the unjoined, join by 1,2,3,4,5

3. For the unjoined, join by 1,2,3,4

.........

6. For the unjoined, join by 1

 

Is there a way to do this efficiently without having to add in 6 join tools to the workflow?

 

Thank you!

3 REPLIES 3
AkimasaKajitani
17 - Castor
17 - Castor

Hi @Aliceyyy98 

 

The most simple way is to add the 6 Join tools.

 

But it is able to use Batch macro and to need to rewrite the inner XML of Join tool.

I don't recommend to do because it is too complex.

 

However I tried it. Please refer the sample workflow. I think it will work well.

 

 

clmc9601
13 - Pulsar
13 - Pulsar

Thanks, @AkimasaKajitani! This solved my use case, too 😁

AkimasaKajitani
17 - Castor
17 - Castor

Hi @clmc9601 ,

 

I'm glad I could help!

 

 

Labels
Top Solution Authors