[
https://issues.apache.org/jira/browse/FLINK-6783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16053680#comment-16053680
]
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_r122657181
--- Diff:
flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractionUtils.java
---
@@ -161,6 +164,77 @@ public static LambdaExecutable
checkAndExtractLambda(Function function) throws T
}
/**
+ * Extracts type from given index from lambda. It supports nested types.
+ *
+ * @param exec lambda function to extract the type from
+ * @param lambdaTypeArgumentIndices position of type to extract in type
hierarchy
+ * @param paramLen count of total parameters of the lambda (including
closure parameters)
+ * @param baseParametersLen count of lambda interface parameters
(without closure parameters)
+ * @return extracted type
+ */
+ public static Type extractTypeFromLambda(
+ LambdaExecutable exec,
+ int[] lambdaTypeArgumentIndices,
+ int paramLen,
+ int baseParametersLen) {
+ Type output = exec.getParameterTypes()[paramLen -
baseParametersLen + lambdaTypeArgumentIndices[0]];
+ for (int i = 1; i < lambdaTypeArgumentIndices.length; i++) {
+ output = extractTypeArgument(output,
lambdaTypeArgumentIndices[i]);
+ }
+ return output;
+ }
+
+ /**
+ * * This method extracts the n-th type argument from the given type.
An InvalidTypesException
+ * is thrown if the type does not have any type arguments or if the
index exceeds the number
+ * of type arguments.
+ *
+ * @param t Type to extract the type arguments from
+ * @param index Index of the type argument to extract
+ * @return The extracted type argument
+ * @throws InvalidTypesException if the given type does not have any
type arguments or if the
+ * index exceeds the number of type arguments.
+ */
+ public static Type extractTypeArgument(Type t, int index) throws
InvalidTypesException {
+ if (t instanceof ParameterizedType) {
+ Type[] actualTypeArguments = ((ParameterizedType)
t).getActualTypeArguments();
+
+ if (index < 0 || index >= actualTypeArguments.length) {
+ throw new InvalidTypesException("Cannot extract
the type argument with index " +
+
index + " because the type has only " +
actualTypeArguments.length +
+
" type arguments.");
+ } else {
+ return actualTypeArguments[index];
+ }
+ } else {
+ throw new InvalidTypesException("The given type " + t +
" is not a parameterized type.");
+ }
+ }
+
+ /**
+ * Extracts a Single Abstract Method (SAM) as defined in Java
Specification (4.3.2. The Class Object,
+ * 9.8 Functional Interfaces, 9.4.3 Interface Method Body) from given
class.
+ *
+ * @param baseClass
+ * @throws InvalidTypesException if the given class does not implement
+ * @return
+ */
+ public static Method getSingleAbstractMethod(Class<?> baseClass) {
+ Method sam = null;
+ for (Method method : baseClass.getMethods()) {
+ if (Modifier.isAbstract(method.getModifiers())) {
+ if (sam == null) {
+ sam = method;
+ } else {
+ throw new InvalidTypesException(
+ "Given class: " + baseClass + "
is not a FunctionalInterface. It does not have a SAM.");
--- End diff --
@tedyu You are right. I've created a PR with a fix. Could you have a look?
#4140
> 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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