Github user liancheng commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz I agree that always moving all partitioned columns to the end of
the schema is more consistent and intuitive. However, users may have
ordinal-dependent code like this:
```scala
df.rdd.map { case Row(name: String, age: Int) =>
...
}
```
If we silently change the column order, these applications may break.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
