[
https://issues.apache.org/jira/browse/FLINK-6783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16040940#comment-16040940
]
ASF GitHub Bot commented on FLINK-6783:
---------------------------------------
Github user dawidwys commented on a diff in the pull request:
https://github.com/apache/flink/pull/4039#discussion_r120558300
--- Diff:
flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java
---
@@ -354,49 +479,21 @@ private static void registerFactory(Type t, Class<?
extends TypeInfoFactory> fac
/**
* Returns the unary operator's return type.
*
- * @param function Function to extract the return type from
- * @param baseClass Base class of the function
- * @param hasIterable True if the first function parameter is an
iterable, otherwise false
- * @param hasCollector True if the function has an additional collector
parameter, otherwise false
- * @param inType Type of the input elements (In case of an iterable, it
is the element type)
- * @param functionName Function name
- * @param allowMissing Can the type information be missing
- * @param <IN> Input type
- * @param <OUT> Output type
- * @return TypeInformation of the return type of the function
- */
- @SuppressWarnings("unchecked")
- @PublicEvolving
- public static <IN, OUT> TypeInformation<OUT> getUnaryOperatorReturnType(
- Function function,
- Class<?> baseClass,
- boolean hasIterable,
- boolean hasCollector,
- TypeInformation<IN> inType,
- String functionName,
- boolean allowMissing) {
-
- return getUnaryOperatorReturnType(
- function,
- baseClass,
- hasIterable ? 0 : -1,
- hasCollector ? 0 : -1,
- inType,
- functionName,
- allowMissing);
- }
-
- /**
- * Returns the unary operator's return type.
+ * <p><b>NOTE:</b> lambda type indices allows extraction of Type from
lambdas. To extract input type <b>IN</b>
--- End diff --
done
> Wrongly extracted TypeInformations for WindowedStream::aggregate
> ----------------------------------------------------------------
>
> Key: FLINK-6783
> URL: https://issues.apache.org/jira/browse/FLINK-6783
> Project: Flink
> Issue Type: Bug
> Components: Core, DataStream API
> Affects Versions: 1.3.0, 1.3.1
> Reporter: Dawid Wysakowicz
> Assignee: Dawid Wysakowicz
> Priority: Blocker
> Labels: flink-rel-1.3.1-blockers
> Fix For: 1.3.1
>
>
> The following test fails because of wrongly acquired output type for
> {{AggregateFunction}}:
> {code}
> @Test
> public void testAggregateWithWindowFunctionDifferentResultTypes() throws
> Exception {
> StreamExecutionEnvironment env =
> StreamExecutionEnvironment.getExecutionEnvironment();
> DataStream<Tuple2<String, Integer>> source =
> env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
> DataStream<Tuple3<String, String, Integer>> window = source
> .keyBy(new TupleKeySelector())
> .window(TumblingEventTimeWindows.of(Time.of(1,
> TimeUnit.SECONDS)))
> .aggregate(new AggregateFunction<Tuple2<String, Integer>,
> Tuple2<String, Integer>, String>() {
> @Override
> public Tuple2<String, Integer> createAccumulator() {
> return Tuple2.of("", 0);
> }
> @Override
> public void add(
> Tuple2<String, Integer> value, Tuple2<String,
> Integer> accumulator) {
> }
> @Override
> public String getResult(Tuple2<String, Integer>
> accumulator) {
> return accumulator.f0;
> }
> @Override
> public Tuple2<String, Integer> merge(
> Tuple2<String, Integer> a, Tuple2<String,
> Integer> b) {
> return Tuple2.of("", 0);
> }
> }, new WindowFunction<String, Tuple3<String, String, Integer>,
> String, TimeWindow>() {
> @Override
> public void apply(
> String s,
> TimeWindow window,
> Iterable<String> input,
> Collector<Tuple3<String, String, Integer>> out)
> throws Exception {
> out.collect(Tuple3.of("", "", 0));
> }
> });
> OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String,
> Integer>> transform =
> (OneInputTransformation<Tuple2<String, Integer>, Tuple3<String,
> String, Integer>>) window.getTransformation();
> OneInputStreamOperator<Tuple2<String, Integer>, Tuple3<String, String,
> Integer>> operator = transform.getOperator();
> Assert.assertTrue(operator instanceof WindowOperator);
> WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?> winOperator =
> (WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?>)
> operator;
> Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
> Assert.assertTrue(winOperator.getWindowAssigner() instanceof
> TumblingEventTimeWindows);
> Assert.assertTrue(winOperator.getStateDescriptor() instanceof
> AggregatingStateDescriptor);
> processElementAndEnsureOutput(
> operator, winOperator.getKeySelector(),
> BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
> }
> {code}
> The test results in
> {code}
> org.apache.flink.api.common.functions.InvalidTypesException: Input mismatch:
> Tuple type expected.
> at
> org.apache.flink.api.java.typeutils.TypeExtractor.validateInputType(TypeExtractor.java:1157)
> at
> org.apache.flink.api.java.typeutils.TypeExtractor.getUnaryOperatorReturnType(TypeExtractor.java:451)
> at
> org.apache.flink.streaming.api.datastream.WindowedStream.aggregate(WindowedStream.java:855)
> at
> org.apache.flink.streaming.runtime.operators.windowing.WindowTranslationTest.testAggregateWithWindowFunctionDifferentResultTypes(WindowTranslationTest.java:702)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
> at
> org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
> at
> org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
> at
> org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
> at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
> at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
> at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
> at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
> at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
> at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
> at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
> at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
> at
> com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
> at
> com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:51)
> at
> com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:242)
> at
> com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)
> Caused by: org.apache.flink.api.common.functions.InvalidTypesException: Tuple
> type expected.
> at
> org.apache.flink.api.java.typeutils.TypeExtractor.validateInfo(TypeExtractor.java:1204)
> at
> org.apache.flink.api.java.typeutils.TypeExtractor.validateInputType(TypeExtractor.java:1154)
> ... 25 more
> {code}
> I tracked down the issue and the reason is wrongly handled
> {{outputTypeArgumentIndex}} in {{TypeExtractor::getUnaryOperatorReturnType}}.
> My proposition is to remove/deprecate version of
> {{TypeExtractor::getUnaryOperatorReturnType}} that accepts {{hasIterable}}
> and {{hasCollector}} as parameters and move all invocations to explicitly
> passing index of output type (after fixing {{outputTypeArgumentIndex}}
> handling in line {{TypeExtractor:455}}.
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