Closed nanne-aben closed 1 year ago
This PR allows us to do:
( transform_to_schema( df_a.join( df_b, person.id == job.id, ), PersonWithJob, { PersonWithJob.id: person.id, }, ).show() )
Previously, this would have resulted in an ambiguous column exception, and you'd have to run .drop(job.id) to resolve it. This resolves it in a more intuitive way.
.drop(job.id)
This PR allows us to do:
Previously, this would have resulted in an ambiguous column exception, and you'd have to run
.drop(job.id)
to resolve it. This resolves it in a more intuitive way.