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ASF GitHub Bot commented on FLINK-4391: --------------------------------------- Github user tillrohrmann commented on a diff in the pull request: https://github.com/apache/flink/pull/2629#discussion_r88857479 --- Diff: flink-streaming-java/src/test/java/org/apache/flink/streaming/api/operators/async/AsyncCollectorBufferTest.java --- @@ -0,0 +1,277 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.streaming.api.operators.async; + +import org.apache.flink.streaming.api.datastream.AsyncDataStream; +import org.apache.flink.streaming.api.functions.async.AsyncFunction; +import org.apache.flink.streaming.api.operators.AbstractStreamOperator; +import org.apache.flink.streaming.api.operators.Output; +import org.apache.flink.streaming.api.operators.TimestampedCollector; +import org.apache.flink.streaming.api.watermark.Watermark; +import org.apache.flink.streaming.runtime.streamrecord.LatencyMarker; +import org.apache.flink.streaming.runtime.streamrecord.StreamElement; +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; +import org.mockito.internal.util.reflection.Whitebox; + +import java.io.IOException; +import java.lang.reflect.Constructor; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.Iterator; +import java.util.List; +import java.util.Map; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; + +/** + * Tests for {@link AsyncCollectorBuffer}. These test that: + * + * <ul> + * <li>Add a new item into the buffer</li> + * <li>Ordered mode processing</li> + * <li>Unordered mode processing</li> + * <li>Error handling</li> + * </ul> + */ +public class AsyncCollectorBufferTest { + private AsyncFunction<Integer, Integer> function; + + private AsyncWaitOperator<Integer, Integer> operator; + + private AsyncCollectorBuffer<Integer, Integer> buffer; + + private Output<StreamRecord<Integer>> output; + + private TimestampedCollector<Integer> collector; + + private Object lock = new Object(); + + @Before + public void setUp() throws Exception { + function = new AsyncFunction<Integer, Integer>() { + @Override + public void asyncInvoke(Integer input, AsyncCollector<Integer, Integer> collector) throws Exception { + + } + }; + + operator = new AsyncWaitOperator<>(function); + Class<?>[] classes = AbstractStreamOperator.class.getDeclaredClasses(); + Class<?> latencyClass = null; + for (Class<?> c : classes) { + if (c.getName().indexOf("LatencyGauge") != -1) { + latencyClass = c; + } + } + + Constructor<?> explicitConstructor = latencyClass.getDeclaredConstructors()[0]; + explicitConstructor.setAccessible(true); + Whitebox.setInternalState(operator, "latencyGauge", explicitConstructor.newInstance(10)); + + output = new FakedOutput(new ArrayList<Long>()); + collector =new TimestampedCollector(output); + + Whitebox.setInternalState(operator, "output", output); --- End diff -- Then you could also change the history size of the latency gauge. > Provide support for asynchronous operations over streams > -------------------------------------------------------- > > Key: FLINK-4391 > URL: https://issues.apache.org/jira/browse/FLINK-4391 > Project: Flink > Issue Type: New Feature > Components: DataStream API > Reporter: Jamie Grier > Assignee: david.wang > > Many Flink users need to do asynchronous processing driven by data from a > DataStream. The classic example would be joining against an external > database in order to enrich a stream with extra information. > It would be nice to add general support for this type of operation in the > Flink API. Ideally this could simply take the form of a new operator that > manages async operations, keeps so many of them in flight, and then emits > results to downstream operators as the async operations complete. -- This message was sent by Atlassian JIRA (v6.3.4#6332)