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https://issues.apache.org/jira/browse/FLINK-6783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16052793#comment-16052793
]
ASF GitHub Bot commented on FLINK-6783:
---------------------------------------
Github user dawidwys closed the pull request at:
https://github.com/apache/flink/pull/4089
> 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, 1.4.0
>
>
> 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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