use of org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger in project flink by apache.
the class WindowTranslationTest method testAggregateWithProcessWindowFunctionProcessingTime.
@Test
public void testAggregateWithProcessWindowFunctionProcessingTime() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);
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(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).aggregate(new DummyAggregationFunction(), new TestProcessWindowFunction());
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 ProcessingTimeTrigger);
Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Aggregations