dawidwys commented on a change in pull request #8357:
URL: https://github.com/apache/flink/pull/8357#discussion_r459579778
##########
File path:
flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java
##########
@@ -1837,8 +1837,8 @@ private boolean isValidPojoField(Field f, Class<?> clazz,
ArrayList<Type> typeHi
if (parameterizedType != null) {
getTypeHierarchy(typeHierarchy, parameterizedType,
Object.class);
}
- // create a type hierarchy, if the incoming only contains the
most bottom one or none.
- else if (typeHierarchy.size() <= 1) {
+ // create a type hierarchy, for fields types extraction
Review comment:
I would use this opportunity to simplify the code a bit. Actually the
`clazz` and ` parameterizedType` are very tightly coupled and one originiates
from the other. I think we could simplify the method slightly if we removed the
`parameterizedType` parameter. Than the beginning of this method could like
this:
```
protected <OUT, IN1, IN2> TypeInformation<OUT> analyzePojo(
Type type,
List<Type> typeHierarchy,
TypeInformation<IN1> in1Type,
TypeInformation<IN2> in2Type) {
Class<OUT> clazz = typeToClass(type);
if (!Modifier.isPublic(clazz.getModifiers())) {
LOG.info("Class " + clazz.getName() + " is not public
so it cannot be used as a POJO type " +
"and must be processed as GenericType. Please
read the Flink documentation " +
"on \"Data Types & Serialization\" for details
of the effect on performance.");
return new GenericTypeInfo<OUT>(clazz);
}
// add the hierarchy of the POJO
getTypeHierarchy(typeHierarchy, type, Object.class);
...
```
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