1,699 reads

How to Create Simple Multi-Stacks Test With Testcontainers

by Arie Pratama SutionoJune 29th, 2020

Too Long; Didn't Read

Testcontainers is a lightweight library that “wraps” docker and connect to test frameworks, such as Junit and Spock. It is modular, as you can see in their maven repositories. This means, you can import only the necessary stacks that matter to you. Using Tescontainers will make this even shorter in Intellij IDEA. It will enable us to use multiple tech stacks in one test class. For instance, you need to test a Kafka consumer that does insert to a Mysql instance, we can define both services in the same class.

Coin Mentioned

featured image - How to Create Simple Multi-Stacks Test With Testcontainers

Back-end engineering nowadays may require the integration of multiple services. It is painful for engineers to install many services in their local development environment. Docker has provided an easier way to do this, but it will still require some scripting outside our code. It also has not exactly had a perfect solution if we wanted to test smaller functions or classes instead of the whole service. This problem has been addressed by Testcontainers [].

This article will give you an understanding of what is Testcontainers, why should you use Testcontainers, and finally how to use it. While this article will only be based on experience on Java programming language, Testcontainers does has support for other programming languages, like go [] and node-js [].

What is Testcontainers

Testcontainers is a lightweight library that “wrap” docker and connect to test frameworks, such as Junit and Spock. It is also modular, as you can see in . This means, you can import only the necessary stacks that matter to you.

Why Should You Use Testcontainers

Testcontainers will definitely make software engineer life simpler! Docker and Docker Compose have made deploying service in local development and production environments simpler. They are like lightweight virtual machine, thus whatever you do in your current environment will not affect services contained in docker environment. However you will need to tell docker run the service outside of your currently opened IDE. Using Tescontainers will make this even shorter. You can use ctrl + F10 directly in Intellij IDEA.Another interesting aspect that makes Testcontainers shines is, it will create disposable instances. It means you can write your test with assumption that each test can be executed independently. You probably do not want to retain whatever inserted into your PostgreSQL database in one test. Retaining that test records may cause another test failing. This causing your tests having a bug. Wait! are you testing so that your main codes are bug-free??

Testcontainers will enable us to use multiple tech stacks in one test class. For instance, you need to test a Kafka consumer that does insert to a Mysql instance. We can define both services in the same class!

How to use Testcontainers

Testcontainers is best to be used in an integration test, although it can run within Junit runtime. Typically you wanted to run one unit test class in a few hundreds milliseconds. Running many instances of Testcontainers in a unit tests will result in a significantly slow unit test, and you do not want to run ~ 20s per unit test.

It Takes Few Lines

Let say you wanted to use Kafka, you can easily define your Kafka instance in your test file as

public class JavaKafkaTest {
    @Rule
    public KafkaContainer kafka;

    @Before
    public void setUp() throws Exception {
        kafka = new KafkaContainer("5.4.2");
        kafka.start();
    }
}

This code will download Confluent platform’s docker image file with version

5.4.2

(Kafka version

2.5.0

) and start the docker, all in few lines of codes.

Kafka is coupled with zookeeper, however, by default it has been handled by Testcontainers. If you wish to use your own zookeeper for some reason, then luckily there’s an option for it.

Full Example: Producing Messages and Consuming with Kafka Streams

I have shown you a little on how to make a

KafkaContainer

instance, now I will demonstrate full class.

public class JavaKafkaTest {

    @Rule
    public KafkaContainer kafka;

    @Before
    public void setUp() throws Exception {
        kafka = new KafkaContainer("5.4.2");
        kafka.start();
        Properties adminProperties = new Properties();
        adminProperties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafka.getBootstrapServers());
        AdminClient adminClient = KafkaAdminClient.create(adminProperties);
        adminClient.createTopics(
            Stream.of("plaintext-input")
                .map(n -> new NewTopic(n, 1, (short) 1))
                .collect(Collectors.toList())
        ).all().get();
    }

    @Test
    public void testKafkaTestcontainer() throws InterruptedException {
        prepareSeedMessages();
        final Topology topology = prepareKafkaTopology();
        final KafkaStreams streams = new KafkaStreams(topology, consumerProps());
        streams.start();
        Thread.sleep(5000);


    }

    private void prepareSeedMessages() {
        KafkaProducer producer = new KafkaProducer(producerProps());
        producer.send(new ProducerRecord("plaintext-input", "this is sparta"));
        producer.send(new ProducerRecord("plaintext-input", "this is sparta"));
        producer.send(new ProducerRecord("plaintext-input", "this is sparta"));
        producer.close();
    }

    private Topology prepareKafkaTopology() {

        final StreamsBuilder streamsBuilder = new StreamsBuilder();
        streamsBuilder
            .<String, String>stream("plaintext-input")
            .peek((k, v) -> {
                Logger log = Logger.getLogger(Thread.currentThread().getName());
                log.info(String.format("receive message from plaintext-input : %s", v));
            })
            .flatMapValues(v -> Arrays.asList(v.split("\\W+")))
            .peek((k, v) -> {
                Logger log = Logger.getLogger(Thread.currentThread().getName());
                log.info(String.format("receive message from count : %s", v));
            })
            .groupBy((k, v) -> v)
            .count();

        return streamsBuilder.build();
    }

    private Properties consumerProps() {
        Properties consumerProps = new Properties();
        consumerProps.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
        consumerProps.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
        consumerProps.put(StreamsConfig.APPLICATION_ID_CONFIG, "sample-app");
        consumerProps.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, kafka.getBootstrapServers());
        return consumerProps;
    }

    private Properties producerProps() {
        Properties producerProperties = new Properties();
        producerProperties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafka.getBootstrapServers());
        producerProperties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        producerProperties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        return producerProperties;
    }

    @After
    public void tearDown() {
        kafka.stop();
    }

}

setUp

method, all the necessary components are prepared.

KafkaContainer

must be started, before other calls. Remember

@Before

will be executed for every test method, so that will make our tests immutable.

But on the other hand, this will made the container go up and down between the test method.

Function

testKafkaContainer

is the runnable part. This is where you do stuff and assert all the things you need. This example demonstrates complete publish and subscribe in a single method.

prepareSeedMessages

procedure will populate the Kafka queue with three strings. I set the standard, required attributes: key serializer, value serializer, application id, and bootstrap server. It is important that when setting the producer’s properties, I took a bootstrap server from Kafka container instance, instead of hard-coding it by yourself.

We then prepare for creating a Kafka stream’s topology. Topology is basically a directed acyclic graph (DAG) that defines the sequence of processing [4]. I will use a "necessary" word count topology example.

Here, I have defined to take the input from the topic “plaintext-input”. I used peek to execute a logging procedure and return what that procedure received. Then,

flatMapValues

will break each token by whitespaces. I then can group by each word and do count.

Finally, I used

tearDown

method to stop the Kafka container. This method will destroy the container and delete all the data inside this container.

If we have multiple tests in one class, it will be better if we move start and stop method to

@BeforeClass

and

@AfterClass

. Using

@Before

and

@After

like this example will results in container created and destroyed along every single test method execution. It will make running this test class very long. Instead we can declare construct once for each test class.

Conclusion

Here I have explained briefly that Testcontainers is a library that encapsulates docker and makes it runnable along with the testing library. I have also laid out some reasons to use Testcontainers: directly run in your IDE and run your tests independently. Lastly, I have gives an example of using Kafka in Testcontainers.