You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Dawid Wysakowicz (JIRA)" <ji...@apache.org> on 2017/05/31 12:38:12 UTC
[jira] [Created] (FLINK-6783) Wrongly extracted TypeInformations
for WindowedStream::aggregate
Dawid Wysakowicz created FLINK-6783:
---------------------------------------
Summary: Wrongly extracted TypeInformations for WindowedStream::aggregate
Key: FLINK-6783
URL: https://issues.apache.org/jira/browse/FLINK-6783
Project: Flink
Issue Type: Bug
Components: DataStream API, Type Serialization System
Affects Versions: 1.3.0
Reporter: Dawid Wysakowicz
Assignee: Dawid Wysakowicz
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}}.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)