gbloisi-openaire opened a new pull request, #42327:
URL: https://github.com/apache/spark/pull/42327
### What changes were proposed in this pull request?
This PR fixes a regression introduced in Spark 3.4.x where Encoders.bean
is no longer able to process nested beans having type arguments. For example:
```
class A<T> {
T value;
// value getter and setter
}
class B {
A<String> stringHolder;
// stringHolder getter and setter
}
Encoders.bean(B.class); // throws "SparkUnsupportedOperationException:
[ENCODER_NOT_FOUND]..."
```
### Why are the changes needed?
JavaTypeInference.encoderFor main match does not manage ParameterizedType
and TypeVariable cases. I think this is a regression introduced after getting
rid of usage of guava TypeToken.
In this PR I'm leveraging commons lang3 TypeUtils functionalities to solve
ParameterizedType type arguments
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Existing tests have been extended to check correct encoding of a nested bean
having type arguments.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
