tweise commented on a change in pull request #7896: [FLINK-9007] [kinesis] [e2e] Add Kinesis end-to-end test URL: https://github.com/apache/flink/pull/7896#discussion_r264055102
########## File path: flink-end-to-end-tests/flink-streaming-kinesis-test/src/main/java/org/apache/flink/streaming/kinesis/test/KinesisExample.java ########## @@ -0,0 +1,156 @@ +/* + * 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.kinesis.test; + +import org.apache.flink.api.java.utils.ParameterTool; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.connectors.kinesis.FlinkKinesisConsumer; +import org.apache.flink.streaming.connectors.kinesis.FlinkKinesisProducer; +import org.apache.flink.streaming.connectors.kinesis.config.ConsumerConfigConstants; +import org.apache.flink.streaming.kafka.test.base.CustomWatermarkExtractor; +import org.apache.flink.streaming.kafka.test.base.KafkaEvent; +import org.apache.flink.streaming.kafka.test.base.KafkaEventSchema; +import org.apache.flink.streaming.kafka.test.base.KafkaExampleUtil; +import org.apache.flink.streaming.kafka.test.base.RollingAdditionMapper; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.net.URL; +import java.util.List; +import java.util.Properties; +import java.util.concurrent.atomic.AtomicReference; + +/** + * A simple example that shows how to read from and write to Kinesis. This will read String messages + * from the input topic, parse them into a POJO type {@link KafkaEvent}, group by some key, and finally + * perform a rolling addition on each key for which the results are written back to another topic. + * + * <p>This example also demonstrates using a watermark assigner to generate per-partition + * watermarks directly in the Flink Kinesis consumer. For demonstration purposes, it is assumed that + * the String messages formatted as a (word,frequency,timestamp) tuple. + * + * <p>Example usage: + * --input-topic test-input --output-topic test-output --bootstrap.servers localhost:9092 --zookeeper.connect localhost:2181 --group.id myconsumer + */ +public class KinesisExample { + private static final Logger LOG = LoggerFactory.getLogger(KinesisExample.class); + + /** + * Interface to the pubsub system for this test. + */ + interface PubsubClient { + void createTopic(String topic, int partitions, Properties props) throws Exception; + + void sendMessage(String topic, String msg); + + List<String> readAllMessages(String streamName) throws Exception; + } + + public static void main(String[] args) throws Exception { + LOG.info("System properties: {}", System.getProperties()); + // parse input arguments + final ParameterTool parameterTool = ParameterTool.fromArgs(args); + StreamExecutionEnvironment env = KafkaExampleUtil.prepareExecutionEnv(parameterTool); + + String inputStream = parameterTool.getRequired("input-stream"); + String outputStream = parameterTool.getRequired("output-stream"); + + PubsubClient pubsub = new KinesisPubsubClient(parameterTool.getProperties()); + pubsub.createTopic(inputStream, 2, parameterTool.getProperties()); + pubsub.createTopic(outputStream, 2, parameterTool.getProperties()); + + FlinkKinesisConsumer<KafkaEvent> consumer = new FlinkKinesisConsumer<>( + inputStream, + new KafkaEventSchema(), + parameterTool.getProperties()); + consumer.setPeriodicWatermarkAssigner(new CustomWatermarkExtractor()); + + DataStream<KafkaEvent> input = env + .addSource(consumer) + .keyBy("word") + .map(new RollingAdditionMapper()); + + Properties producerProperties = new Properties(parameterTool.getProperties()); + // needs region event when URL is specified + producerProperties.put(ConsumerConfigConstants.AWS_REGION, "us-east-1"); + + // KPL does not recognize endpoint URL.. + String kinesisUrl = producerProperties.getProperty(ConsumerConfigConstants.AWS_ENDPOINT); + if (kinesisUrl != null) { + URL url = new URL(kinesisUrl); + producerProperties.put("KinesisEndpoint", url.getHost()); + producerProperties.put("KinesisPort", Integer.toString(url.getPort())); + producerProperties.put("VerifyCertificate", "false"); + } + + FlinkKinesisProducer<KafkaEvent> producer = new FlinkKinesisProducer<>( + new KafkaEventSchema(), + producerProperties); + producer.setDefaultStream(outputStream); + producer.setDefaultPartition("fakePartition"); + + input.addSink(producer); + + final AtomicReference<Exception> caughtException = new AtomicReference<>(); + + // job and following test logic need to run in parallel + Thread executeThread = + new Thread( + () -> { + try { + env.execute(); + LOG.info("executed program"); + } catch (Exception e) { + caughtException.set(e); + } + }); + executeThread.start(); + + // generate input + String[] messages = { "elephant,5,45218", "squirrel,12,46213", "bee,3,51348", "squirrel,22,52444", "bee,10,53412", "elephant,9,54867" }; + for (String msg : messages) { + pubsub.sendMessage(inputStream, msg); + } + LOG.info("generated records"); + + long timeoutMillis = System.currentTimeMillis() + 30_000; + List<String> results = pubsub.readAllMessages(outputStream); + while (System.currentTimeMillis() < timeoutMillis) { Review comment: Thanks for the suggestion, code also looks much cleaner using `Deadline`. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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