Github user hsaputra commented on a diff in the pull request:
https://github.com/apache/incubator-flink/pull/263#discussion_r21689646
--- Diff:
flink-scala/src/main/java/org/apache/flink/api/scala/operators/ScalaAggregateOperator.java
---
@@ -164,18 +160,8 @@ public ScalaAggregateOperator(Grouping<IN> input,
Aggregations function, int fie
}
genName.setLength(genName.length()-1);
- TypeSerializer<IN> serializer =
getInputType().createSerializer();
- TypeSerializerFactory<IN> serializerFactory;
- if (serializer.isStateful()) {
- serializerFactory = new
RuntimeStatefulSerializerFactory<IN>(
- serializer,
getInputType().getTypeClass());
- } else {
- serializerFactory = new
RuntimeStatelessSerializerFactory<IN>(
- serializer,
getInputType().getTypeClass());
- }
-
@SuppressWarnings("rawtypes")
- RichGroupReduceFunction<IN, IN> function = new
AggregatingUdf(serializerFactory, aggFunctions, fields);
+ RichGroupReduceFunction<IN, IN> function = new
AggregatingUdf((TupleSerializerBase) getInputType().createSerializer(),
aggFunctions, fields);
--- End diff --
Could we do explicit conversion from TypeSerializer to TupleSerializerBase
instead of hard casting?
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