Layanan dengan Apache Kafka dan pengujian

Ketika layanan diintegrasikan menggunakan Kafka, akan sangat mudah menggunakan REST API sebagai cara universal dan standar untuk bertukar pesan. Dengan meningkatnya jumlah layanan, kompleksitas komunikasi meningkat. Pengujian integrasi dapat dan harus digunakan untuk pengendalian. Library seperti testcontainers atau EmbeddedServer sangat bagus dalam membantu mengatur pengujian semacam ini. Ada banyak contoh untuk mikronaut , Spring Boot , dll. Tetapi contoh ini menghilangkan beberapa detail yang mencegah kode berjalan pertama kali. Artikel ini memberikan contoh dengan deskripsi mendetail dan tautan ke kode.







Contoh



Untuk kesederhanaan, Anda dapat menerima REST API tersebut.







/ run - metode POST. Menginisialisasi permintaan untuk saluran komunikasi. Menerima data dan mengembalikan kunci permintaan.

/ run / {key} / status - metode GET. Menurut kunci, mengembalikan status permintaan. Dapat mengambil nilai berikut: UNKNOWN, RUNNING, DONE.

/ run / {key} - metode GET. Mengembalikan hasil kueri dengan kunci.







API serupa diterapkan secara langsung , meskipun untuk tugas yang berbeda.







Penerapan



Akan digunakan: mikronaut, Spring Boot.







mikronaut



Pengontrol untuk API.







import io.micronaut.http.annotation.Body;
import io.micronaut.http.annotation.Controller;
import io.micronaut.http.annotation.Get;
import io.micronaut.http.annotation.Post;
import io.reactivex.Maybe;
import io.reactivex.schedulers.Schedulers;

import javax.inject.Inject;
import java.util.UUID;

@Controller("/runs")
public class RunController {
    @Inject
    RunClient runClient;

    @Inject
    RunCache runCache;

    @Post
    public String runs(@Body String body) {
        String key = UUID.randomUUID().toString();
        runCache.statuses.put(key, RunStatus.RUNNING);
        runCache.responses.put(key, "");
        runClient.sendRun(key, new Run(key, RunType.REQUEST, "", body));
        return key;
    }

    @Get("/{key}/status")
    public Maybe<RunStatus> getRunStatus(String key) {
        return Maybe.just(key)
                .subscribeOn(Schedulers.io())
                .map(it -> runCache.statuses.getOrDefault(it, RunStatus.UNKNOWN));
    }

    @Get("/{key}")
    public Maybe<String> getRunResponse(String key) {
        return Maybe.just(key)
                .subscribeOn(Schedulers.io())
                .map(it -> runCache.responses.getOrDefault(it, ""));
    }
}
      
      





Mengirim pesan ke kafka.







import io.micronaut.configuration.kafka.annotation.*;
import io.micronaut.messaging.annotation.Body;

@KafkaClient
public interface RunClient {
    @Topic("runs")
    void sendRun(@KafkaKey String key, @Body Run run);
}
      
      





Menerima pesan dari kafka.







import io.micronaut.configuration.kafka.annotation.*;
import io.micronaut.messaging.annotation.Body;

import javax.inject.Inject;

@KafkaListener(offsetReset = OffsetReset.EARLIEST)
public class RunListener {
    @Inject
    RunCalculator runCalculator;

    @Topic("runs")
    public void receive(@KafkaKey String key, @Body Run run) {
        runCalculator.run(key, run);
    }
}
      
      





Pesan diproses di RunCalculator. Untuk pengujian, implementasi khusus digunakan di mana penerusan pesan terjadi.







import io.micronaut.context.annotation.Replaces;

import javax.inject.Inject;
import javax.inject.Singleton;
import java.util.UUID;

@Replaces(RunCalculatorImpl.class)
@Singleton
public class RunCalculatorWithWork implements RunCalculator {
    @Inject
    RunClient runClient;

    @Inject
    RunCache runCache;

    @Override
    public void run(String key, Run run) {
        if (RunType.REQUEST.equals(run.getType())) {
            String runKey = run.getKey();
            String newKey = UUID.randomUUID().toString();
            String runBody = run.getBody();
            runClient.sendRun(newKey, new Run(newKey, RunType.RESPONSE, runKey, runBody + "_calculated"));
        } else if (RunType.RESPONSE.equals(run.getType())) {
            runCache.statuses.replace(run.getResponseKey(), RunStatus.DONE);
            runCache.responses.replace(run.getResponseKey(), run.getBody());
        }
    }
}
      
      





Uji.







import io.micronaut.http.HttpRequest;
import io.micronaut.http.client.HttpClient;

import static org.junit.jupiter.api.Assertions.assertEquals;

public abstract class RunBase {
    void run(HttpClient client) {
        String key = client.toBlocking().retrieve(HttpRequest.POST("/runs", "body"));
        RunStatus runStatus = RunStatus.UNKNOWN;
        while (runStatus != RunStatus.DONE) {
            runStatus = client.toBlocking().retrieve(HttpRequest.GET("/runs/" + key + "/status"), RunStatus.class);
            try {
                Thread.sleep(500);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
        String response = client.toBlocking().retrieve(HttpRequest.GET("/runs/" + key), String.class);
        assertEquals("body_calculated", response);
    }
}
      
      





Untuk menggunakan EmbeddedServer yang Anda butuhkan.







Hubungkan perpustakaan:







testImplementation("org.apache.kafka:kafka-clients:2.6.0:test")
testImplementation("org.apache.kafka:kafka_2.12:2.6.0")
testImplementation("org.apache.kafka:kafka_2.12:2.6.0:test")
      
      





Tesnya mungkin terlihat seperti ini.







import io.micronaut.context.ApplicationContext;
import io.micronaut.http.client.HttpClient;
import io.micronaut.runtime.server.EmbeddedServer;
import org.junit.jupiter.api.Test;

import java.util.HashMap;
import java.util.Map;

public class RunKeTest extends RunBase {
    @Test
    void test() {
        Map<String, Object> properties = new HashMap<>();
        properties.put("kafka.bootstrap.servers", "localhost:9092");
        properties.put("kafka.embedded.enabled", "true");
        try (EmbeddedServer embeddedServer = ApplicationContext.run(EmbeddedServer.class, properties)) {
            ApplicationContext applicationContext = embeddedServer.getApplicationContext();
            HttpClient client = applicationContext.createBean(HttpClient.class, embeddedServer.getURI());

            run(client);
        }
    }
}
      
      





Untuk menggunakan testcontainers yang Anda butuhkan.







Hubungkan perpustakaan:







implementation("org.testcontainers:kafka:1.14.3")
      
      





Tesnya mungkin terlihat seperti ini.







import io.micronaut.context.ApplicationContext;
import io.micronaut.http.client.HttpClient;
import io.micronaut.runtime.server.EmbeddedServer;

import org.junit.jupiter.api.Test;

import org.testcontainers.containers.KafkaContainer;
import org.testcontainers.utility.DockerImageName;

import java.util.HashMap;
import java.util.Map;

public class RunTcTest extends RunBase {

    @Test
    public void test() {
        try (KafkaContainer kafka = new KafkaContainer(DockerImageName.parse("confluentinc/cp-kafka:5.5.3"))) {
            kafka.start();
            Map<String, Object> properties = new HashMap<>();
            properties.put("kafka.bootstrap.servers", kafka.getBootstrapServers());
            try (EmbeddedServer embeddedServer = ApplicationContext.run(EmbeddedServer.class, properties)) {
                ApplicationContext applicationContext = embeddedServer.getApplicationContext();
                HttpClient client = applicationContext.createBean(HttpClient.class, embeddedServer.getURI());

                run(client);
            }
        }
    }
}
      
      





Spring Boot



API.







import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.UUID;

@RestController
@RequestMapping("/runs")
public class RunController {
    @Autowired
    private RunClient runClient;

    @Autowired
    private RunCache runCache;

    @PostMapping()
    public String runs(@RequestBody String body) {
        String key = UUID.randomUUID().toString();
        runCache.statuses.put(key, RunStatus.RUNNING);
        runCache.responses.put(key, "");
        runClient.sendRun(key, new Run(key, RunType.REQUEST, "", body));
        return key;
    }

    @GetMapping("/{key}/status")
    public RunStatus getRunStatus(@PathVariable String key) {
        return runCache.statuses.getOrDefault(key, RunStatus.UNKNOWN);
    }

    @GetMapping("/{key}")
    public String getRunResponse(@PathVariable String key) {
        return runCache.responses.getOrDefault(key, "");
    }
}
      
      





kafka.







import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;

@Component
public class RunClient {
    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    @Autowired
    private ObjectMapper objectMapper;

    public void sendRun(String key, Run run) {
        String data = "";
        try {
            data = objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(run);
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        }
        kafkaTemplate.send("runs", key, data);
    }
}
      
      





kafka.







import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

@Component
public class RunListener {
    @Autowired
    private ObjectMapper objectMapper;

    @Autowired
    private RunCalculator runCalculator;

    @KafkaListener(topics = "runs", groupId = "m-group")
    public void receive(ConsumerRecord<?, ?> consumerRecord) {
        String key = consumerRecord.key().toString();
        Run run = null;
        try {
            run = objectMapper.readValue(consumerRecord.value().toString(), Run.class);
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        }
        runCalculator.run(key, run);
    }
}
      
      





RunCalculator. , .







import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

import java.util.UUID;

@Component
public class RunCalculatorWithWork implements RunCalculator {
    @Autowired
    RunClient runClient;

    @Autowired
    RunCache runCache;

    @Override
    public void run(String key, Run run) {
        if (RunType.REQUEST.equals(run.getType())) {
            String runKey = run.getKey();
            String newKey = UUID.randomUUID().toString();
            String runBody = run.getBody();
            runClient.sendRun(newKey, new Run(newKey, RunType.RESPONSE, runKey, runBody + "_calculated"));
        } else if (RunType.RESPONSE.equals(run.getType())) {
            runCache.statuses.replace(run.getResponseKey(), RunStatus.DONE);
            runCache.responses.replace(run.getResponseKey(), run.getBody());
        }
    }
}
      
      





.







import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.http.MediaType;
import org.springframework.test.web.servlet.MockMvc;
import org.springframework.test.web.servlet.MvcResult;
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.status;

public abstract class RunBase {
    void run(MockMvc mockMvc, ObjectMapper objectMapper) throws Exception {
        MvcResult keyResult = mockMvc.perform(MockMvcRequestBuilders.post("/runs")
                .content("body")
                .contentType(MediaType.APPLICATION_JSON)
                .accept(MediaType.APPLICATION_JSON))
                .andExpect(status().isOk())
                .andReturn();

        String key = keyResult.getResponse().getContentAsString();
        RunStatus runStatus = RunStatus.UNKNOWN;
        while (runStatus != RunStatus.DONE) {
            MvcResult statusResult = mockMvc.perform(MockMvcRequestBuilders.get("/runs/" + key + "/status")
                    .contentType(MediaType.APPLICATION_JSON)
                    .accept(MediaType.APPLICATION_JSON))
                    .andExpect(status().isOk())
                    .andReturn();
            runStatus = objectMapper.readValue(statusResult.getResponse().getContentAsString(), RunStatus.class);
            try {
                Thread.sleep(500);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
        String response = mockMvc.perform(MockMvcRequestBuilders.get("/runs/" + key)
                .contentType(MediaType.APPLICATION_JSON)
                .accept(MediaType.APPLICATION_JSON))
                .andExpect(status().isOk())
                .andReturn().getResponse().getContentAsString();
        assertEquals("body_calculated", response);
    }
}
      
      





EmbeddedServer .







:







<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
    <version>2.5.10.RELEASE</version>
</dependency>

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka-test</artifactId>
    <version>2.5.10.RELEASE</version>
    <scope>test</scope>
</dependency>
      
      





.







import com.fasterxml.jackson.databind.ObjectMapper;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.context.TestConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Import;
import org.springframework.kafka.test.context.EmbeddedKafka;
import org.springframework.test.web.servlet.MockMvc;

@AutoConfigureMockMvc
@SpringBootTest
@EmbeddedKafka(partitions = 1, brokerProperties = {"listeners=PLAINTEXT://localhost:9092", "port=9092"})
@Import(RunKeTest.RunKeTestConfiguration.class)
public class RunKeTest extends RunBase {
    @Autowired
    private MockMvc mockMvc;

    @Autowired
    private ObjectMapper objectMapper;

    @Test
    void test() throws Exception {
        run(mockMvc, objectMapper);
    }

    @TestConfiguration
    static class RunKeTestConfiguration {
        @Autowired
        private RunCache runCache;

        @Autowired
        private RunClient runClient;

        @Bean
        public RunCalculator runCalculator() {
            RunCalculatorWithWork runCalculatorWithWork = new RunCalculatorWithWork();
            runCalculatorWithWork.runCache = runCache;
            runCalculatorWithWork.runClient = runClient;
            return runCalculatorWithWork;
        }
    }
}
      
      





testcontainers .







:







<dependency>
    <groupId>org.testcontainers</groupId>
    <artifactId>kafka</artifactId>
    <version>1.14.3</version>
    <scope>test</scope>
</dependency>
      
      





.







import com.fasterxml.jackson.databind.ObjectMapper;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.junit.ClassRule;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.context.TestConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Import;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.core.*;
import org.springframework.test.web.servlet.MockMvc;
import org.testcontainers.containers.KafkaContainer;
import org.testcontainers.utility.DockerImageName;

import java.util.HashMap;
import java.util.Map;

@AutoConfigureMockMvc
@SpringBootTest
@Import(RunTcTest.RunTcTestConfiguration.class)
public class RunTcTest extends RunBase {
    @ClassRule
    public static KafkaContainer kafka = new KafkaContainer(DockerImageName.parse("confluentinc/cp-kafka:5.5.3"));

    static {
        kafka.start();
    }

    @Autowired
    private MockMvc mockMvc;

    @Autowired
    private ObjectMapper objectMapper;

    @Test
    void test() throws Exception {
        run(mockMvc, objectMapper);
    }

    @TestConfiguration
    static class RunTcTestConfiguration {
        @Autowired
        private RunCache runCache;

        @Autowired
        private RunClient runClient;

        @Bean
        ConcurrentKafkaListenerContainerFactory<Integer, String> kafkaListenerContainerFactory() {
            ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
            factory.setConsumerFactory(consumerFactory());
            return factory;
        }

        @Bean
        public ConsumerFactory<Integer, String> consumerFactory() {
            return new DefaultKafkaConsumerFactory<>(consumerConfigs());
        }

        @Bean
        public Map<String, Object> consumerConfigs() {
            Map<String, Object> props = new HashMap<>();
            props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, kafka.getBootstrapServers());
            props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
            props.put(ConsumerConfig.GROUP_ID_CONFIG, "m-group");
            props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
            props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
            return props;
        }

        @Bean
        public ProducerFactory<String, String> producerFactory() {
            Map<String, Object> configProps = new HashMap<>();
            configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafka.getBootstrapServers());
            configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            return new DefaultKafkaProducerFactory<>(configProps);
        }

        @Bean
        public KafkaTemplate<String, String> kafkaTemplate() {
            return new KafkaTemplate<>(producerFactory());
        }

        @Bean
        public RunCalculator runCalculator() {
            RunCalculatorWithWork runCalculatorWithWork = new RunCalculatorWithWork();
            runCalculatorWithWork.runCache = runCache;
            runCalculatorWithWork.runClient = runClient;
            return runCalculatorWithWork;
        }
    }
}
      
      





kafka. :







kafka.start();
      
      





kafka .







application.yml
      
      





spring:
  kafka:
    consumer:
      auto-offset-reset: earliest
      
      







micronaut







Spring Boot







PART 1: TESTING KAFKA MICROSERVICES WITH MICRONAUT







Testing Kafka and Spring Boot







Micronaut Kafka







Spring for Apache Kafka








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