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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-6783) Wrongly extracted TypeInformations for WindowedStream::aggregate
Date Tue, 06 Jun 2017 15:56:20 GMT

    [ https://issues.apache.org/jira/browse/FLINK-6783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16039143#comment-16039143
] 

ASF GitHub Bot commented on FLINK-6783:
---------------------------------------

Github user twalthr commented on a diff in the pull request:

    https://github.com/apache/flink/pull/4039#discussion_r120397389
  
    --- Diff: flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java
---
    @@ -227,9 +237,19 @@ public StreamExecutionEnvironment getExecutionEnvironment() {
     	public <R> SingleOutputStreamOperator<R> flatMap(
     			CoFlatMapFunction<IN1, IN2, R> coFlatMapper) {
     
    -		TypeInformation<R> outTypeInfo = TypeExtractor.getBinaryOperatorReturnType(coFlatMapper,
    -				CoFlatMapFunction.class, false, true, getType1(), getType2(),
    -				Utils.getCallLocationName(), true);
    +		TypeInformation<R> outTypeInfo = TypeExtractor.getBinaryOperatorReturnType(
    +			coFlatMapper,
    +			CoFlatMapFunction.class,
    +			0,
    +			1,
    +			2,
    +			new int[]{0},
    --- End diff --
    
    No lambda.


> 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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