TL;DR This is playbook for «Stream Processing like you have never seen before» talk Full source code is available Table 1. Revisions history Version Date Comments v1.1
11/05/2019
Updated version, presented at NYC Cloud Native meetup
v1.0
09/05/2019
Initial revision, presented at DC Spring Meetup
Spring Kafka Application Getting started Go to https://start.spring.io and generate project using «Spring for Apache Kafka», «Spring for Apache Kafka Streams», «Lombok», «Cloud Streams»
Add dependencies build.gradle buildscript { repositories { jcenter() } dependencies { classpath 'com.commercehub.gradle.plugin:gradle-avro-plugin:0.15.1' } } repositories { jcenter() maven { url 'http://packages.confluent.io/maven' } } dependencies { implementation 'org.apache.avro:avro:1.8.2' implementation 'org.apache.kafka:kafka-streams:2.2.0' implementation 'io.confluent:kafka-streams-avro-serde:5.2.0' } apply plugin: 'com.commercehub.gradle.plugin.avro' apply plugin: 'idea' Add Avro schemas Place avro schema files in src/main/avro
movie.avsc { "namespace": "io.confluent.demo", "type": "record", "name": "Movie", "fields": [ { "name": "movie_id", "type": "long" }, { "name": "title", "type": "string" }, { "name": "release_year", "type": "int" }, { "name": "country", "type": "string" }, { "name": "genres", "type": { "type": "array", "items": "string" } }, { "name": "actors", "type": { "type": "array", "items": "string" } }, { "name": "directors", "type": { "type": "array", "items": "string" } }, { "name": "composers", "type": { "type": "array", "items": "string" } }, { "name": "screenwriters", "type": { "type": "array", "items": "string" } }, { "name": "cinematographer", "type": "string" }, { "name": "production_companies", "type": { "type": "array", "items": "string" } } ] } Add ratings schema rating.avsc { "namespace": "io.confluent.demo", "type": "record", "name": "Rating", "fields": [ { "name": "movie_id", "type": "long" }, { "name": "rating", "type": "double" } ] } Add Parser KafkaApplication class Parser { private static List<String> parseArray(String text) { return Collections.list(new StringTokenizer(text, "|")).stream() .map(token -> (String) token) .collect(Collectors.toList()); } public static Movie parseMovie(String text) { String[] tokens = text.split("\\:\\:"); String id = tokens[0]; String title = tokens[1]; String releaseYear = tokens[2]; String country = tokens[4]; String genres = tokens[7]; String actors = tokens[8]; String directors = tokens[9]; String composers = tokens[10]; String screenwriters = tokens[11]; String cinematographer = tokens[12]; String productionCompanies = ""; if (tokens.length > 13) { productionCompanies = tokens[13]; } Movie movie = new Movie(); movie.setMovieId(Long.parseLong(id)); movie.setTitle(title); movie.setReleaseYear(Integer.parseInt(releaseYear)); movie.setCountry(country); movie.setGenres(Parser.parseArray(genres)); movie.setActors(Parser.parseArray(actors)); movie.setDirectors(Parser.parseArray(directors)); movie.setComposers(Parser.parseArray(composers)); movie.setScreenwriters(Parser.parseArray(screenwriters)); movie.setCinematographer(cinematographer); movie.setProductionCompanies(Parser.parseArray(productionCompanies)); return movie; } } Add Producer class KafkaApplication.java @Log4j2 @Component @RequiredArgsConstructor class Producer { private static final String MOVIES_TOPIC = "movies"; private static final String RATINGS_TOPIC = "ratings"; private final KafkaTemplate kafkaTemplate; @Value(value = "classpath:movies.dat") private Resource moviesFile; @EventListener(ApplicationStartedEvent.class) public void process() throws InterruptedException { try (Stream<String> stream = Files.lines(Paths.get(moviesFile.getURI()))) { stream.forEach(s -> { Movie movie = Parser.parseMovie(s); log.info("sending " + movie.getMovieId() + " for movie " + movie.toString() + " to " + MOVIES_TOPIC); kafkaTemplate.send(MOVIES_TOPIC, movie.getMovieId(), movie); }); } catch (IOException e) { e.printStackTrace(); } Random ran = new Random(); while (true) { int movieId = ran.nextInt(920) + 1; int rating = 5 + ran.nextInt(6); Rating rat = new Rating((long) movieId, (double) rating); log.info(rat.toString()); Thread.sleep(1_000); this.kafkaTemplate.send(RATINGS_TOPIC, rat.getMovieId(), rat); } } } Create topics KafkaApplication.java @SpringBootApplication public class KafkaApplication { public static void main(String[] args) { SpringApplication.run(KafkaApplication.class, args); } @Bean NewTopic ratingsTopic() { return new NewTopic(Producer.MOVIES_TOPIC, 1, (short) 1); } @Bean NewTopic moviesTopic() { return new NewTopic(Producer.RATINGS_TOPIC, 1, (short) 1); } } Test locally terminal confluent local destroy confluent local start schema-registry kafka-topics --list --bootstrap-server localhost:9092 confluent local consume movies -- --value-format avro --from-beginning confluent local consume ratings -- --value-format avro ...