Using Kafka With JUnit
The Spring Kafka project provides a way to use Kafka in tests by providing an embedded version of Kafka that is easily set up and torn down.
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Join For FreeOne of the neat features that the Spring Kafka project provides, apart from an easier-to-use abstraction over raw Kafka Producer and Consumer, is a way to use Kafka in tests. It does this by providing an embedded version of Kafka that can be set up and torn down very easily.
All that a project needs in order to include this support is the spring-kafka-test module for a Gradle build in the following way (as seen here):
1testCompile "org.springframework.kafka:spring-kafka-test:1.1.2.BUILD-SNAPSHOT"
(Note that I am using a snapshot version of the project as this has support for Kafka 0.10+.)
With this dependency in place, an embedded Kafka can be spun up in a test using the @ClassRule of JUnit:
@ClassRule public static KafkaEmbedded embeddedKafka = new KafkaEmbedded(
2, true, 2, "messages");
This would start up a Kafka Cluster with two brokers with a topic called "messages" using two partitions. The class rule would make sure that a Kafka cluster is spun up before the tests are run and then shut down at the end of it.
Here is how a sample how it looks with a raw Kafka producer and consumer using an embedded Kafka cluster. The embedded Kafka can be used for retrieving the properties required by the Kafka producer and consumer:
Map<String, Object> senderProps = KafkaTestUtils.producerProps(embeddedKafka);
KafkaProducer<Integer, String> producer = newKafkaProducer<>(senderProps);
producer.send(newProducerRecord<>("messages", 0, 0, "message0")).get();
producer.send(newProducerRecord<>("messages", 0, 1, "message1")).get();
producer.send(newProducerRecord<>("messages", 1, 2, "message2")).get();
producer.send(newProducerRecord<>("messages", 1, 3, "message3")).get();
Map<String, Object> consumerProps =
KafkaTestUtils.consumerProps("sampleRawConsumer", "false", embeddedKafka);
consumerProps.put("auto.offset.reset", "earliest");
finalCountDownLatch latch = newCountDownLatch(4);
ExecutorService executorService = Executors.newSingleThreadExecutor();
executorService.execute(() -> {
KafkaConsumer<Integer, String> kafkaConsumer = newKafkaConsumer<>(consumerProps);
kafkaConsumer.subscribe(Collections.singletonList("messages"));
try{
while(true) {
ConsumerRecords<Integer, String> records = kafkaConsumer.poll(100); for(ConsumerRecord<Integer, String> record : records) { LOGGER.info("consuming from topic = {}, partition = {}, offset = {}, key = {}, value = {}", record.topic(), record.partition(), record.offset(), record.key(), record.value()); latch.countDown(); } } } finally{ kafkaConsumer.close(); }});
assertThat(latch.await(90, TimeUnit.SECONDS)).isTrue();
A little more comprehensive test is available here.
Published at DZone with permission of Biju Kunjummen, DZone MVB. See the original article here.
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