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PJ Van Aeken commented on FLINK-2023: ------------------------------------- So this works, I'm just not entirely sure this is what you meant : I extended the java Gelly API with a method like the one below so I can explicitely pass all TypeInformation: public <NV> Graph<K, NV, EV> mapVertices(final MapFunction<Vertex<K, VV>, NV> mapper, TypeInformation<K> keyType, TypeInformation<NV> valueType, TypeInformation<Vertex<K, NV>> returnType) { DataSet<Vertex<K, NV>> mappedVertices = vertices.map( new MapFunction<Vertex<K, VV>, Vertex<K, NV>>() { public Vertex<K, NV> map(Vertex<K, VV> value) throws Exception { return new Vertex<K, NV>(value.f0, mapper.map(value)); } }).returns(returnType); return new Graph<K, NV, EV>(mappedVertices, this.edges, this.context); } I then call this method in the Scala API like this : new Graph[K, NV, EV](jgraph.mapVertices[NV]( mapper, createTypeInformation[K], createTypeInformation[NV], createTypeInformation[Vertex[K, NV]] )) > TypeExtractor does not work for (some) Scala Classes > ---------------------------------------------------- > > Key: FLINK-2023 > URL: https://issues.apache.org/jira/browse/FLINK-2023 > Project: Flink > Issue Type: Bug > Components: Type Serialization System > Reporter: Aljoscha Krettek > > [~vanaepi] discovered some problems while working on the Scala Gelly API > where, for example, a Scala MapFunction can not be correctly analyzed by the > type extractor. For example, generic types will not be correctly detected. -- This message was sent by Atlassian JIRA (v6.3.4#6332)