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From GitBox <...@apache.org>
Subject [GitHub] [flink] StefanRRichter commented on a change in pull request #7896: [WIP] [FLINK-9007] [kinesis] Add Kinesis e2e test
Date Wed, 06 Mar 2019 10:28:45 GMT
StefanRRichter commented on a change in pull request #7896: [WIP] [FLINK-9007] [kinesis] Add
Kinesis e2e test
URL: https://github.com/apache/flink/pull/7896#discussion_r262879930
 
 

 ##########
 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) {
+			if (results.size() == messages.length) {
 
 Review comment:
   Why not `&&`-connect this with the condition of the loop?

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