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Sergey Nuyanzin commented on FLINK-8255: ---------------------------------------- A little bit research shows that it is something related to class Hierarchy: RowTypeInfo, TupleTypeInfoBase, TupleTypeInfo. Both RowTypeInfo and TupleTypeInfo are ancent of TupleTypeInfoBase. At the same time in e.g. org.apache.flink.streaming.util.typeutils.FieldAccessorFactory there are some checks with casting {code:java} ... else if (typeInfo.isTupleType()) { TupleTypeInfoBase tupleTypeInfo = (TupleTypeInfoBase) typeInfo; ...{code} As RowTypeInfo and TupleTypeInfo are in parallel hierarchy branches => casting will fail for RowTypeInfo. At the same time it looks like there is nothing special related to TupleTypeInfo => casting to TupleTypeInfoBase is enough. Based on finding usages of FieldAccessorFactory's methods with specified casting there could be added 2 more test-case which are also fails with the similar ClastCastException {code:java} final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); TypeInformation[] types = new TypeInformation[]{Types.INT, Types.INT}; String[] fieldNames = new String[]{"id", "value"}; RowTypeInfo rowTypeInfo = new RowTypeInfo(types, fieldNames); UnsortedGrouping groupDs = env.fromCollection(Collections.singleton(new Row(2)), rowTypeInfo).groupBy(0); groupDs.maxBy(1); {code} and one more almost the same however with .minBy in the last line one of the possible fixes: usage casting to TupleTypeInfoBase rther than to TupleTypeInfo (I'm not sure that changing hierarchy could be an option). such fix for the mentioned 3 cases is available here https://github.com/apache/flink/compare/master...snuyanzin:FLINK-8255_Key_expressions_on_named_row_types_do_not_work at the same time it looks like there still could be issues, e.g. org.apache.flink.api.java.DataSet#minBy org.apache.flink.api.java.DataSet#maxBy org.apache.flink.streaming.util.typeutils.FieldAccessor.RecursiveTupleFieldAccessor#RecursiveTupleFieldAccessor also have such casting however at the moment I do not have any idea about test where it could fail > Key expressions on named row types do not work > ---------------------------------------------- > > Key: FLINK-8255 > URL: https://issues.apache.org/jira/browse/FLINK-8255 > Project: Flink > Issue Type: Bug > Components: DataSet API, DataStream API > Affects Versions: 1.4.0, 1.5.0 > Reporter: Timo Walther > Priority: Major > > The following program fails with a {{ClassCastException}}. It seems that key > expressions and rows are not tested well. We should add more tests for them. > {code} > final StreamExecutionEnvironment env = > StreamExecutionEnvironment.getExecutionEnvironment(); > TypeInformation[] types = new TypeInformation[] {Types.INT, Types.INT}; > String[] fieldNames = new String[]{"id", "value"}; > RowTypeInfo rowTypeInfo = new RowTypeInfo(types, fieldNames); > env.fromCollection(Collections.singleton(new Row(2)), rowTypeInfo) > .keyBy("id").sum("value").print(); > env.execute("Streaming WordCount"); > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)