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Amalia Hajarani
Amalia Hajarani

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Lokomotif: Use Case (2: Implementing Spring Boot: Scheduler Info)

Prerequisites:

  1. Java version of 17
  2. Zookeeper and Kafka. I'm following this post on how to run them at my windows 10 machine.
  3. Visual Studio Code Spring Intializr

And now, let's go into the cooking step:

Initialize Spring Boot Application

  1. Using Visual Studio Code, I clicked ctrl + shift + p altogether, choose Spring Initializr: Create Maven Project
    Image description

  2. Choose Spring Boot version of 3.0.12, I actually migrating my project from version 2.7.17 to 3.0.0.

  3. Choose **Java **as project language.

  4. Type your project's group id. For me, I choose com.tujuhsembilan.

  5. Type your artifact id, I choose scheduler.

  6. Choose Jar as the packaging type.

  7. Choose 17 for Java version.

  8. Add these dependency by searching them. (If you cannot find them in the search tab, you can add them manually later at pom.xml).

    <dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-quartz</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
    <dependency>
        <groupId>org.projectlombok</groupId>
        <artifactId>lombok</artifactId>
        <scope>annotationProcessor</scope>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-jpa</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka</artifactId>
        <version>3.0.0</version>
    </dependency>
    <dependency>
        <groupId>com.h2database</groupId>
        <artifactId>h2</artifactId>
        <scope>runtime</scope>
    </dependency>
    <dependency>
        <groupId>com.github.javafaker</groupId>
        <artifactId>javafaker</artifactId>
        <version>0.15</version>
    </dependency>
    <dependency>
        <groupId>org.modelmapper</groupId>
        <artifactId>modelmapper</artifactId>
        <version>3.0.0</version>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-hateoas</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-rest</artifactId>
    </dependency>
</dependencies>

  9. After the project initialized, I create few packages. I made these packages at the same level of Application.java (SchedulerApplication.java for me)

    * configuration
* controller
* job
* model
  - Dto
* repository
* service

Create configuration for application 

import org.modelmapper.ModelMapper;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.jpa.repository.config.EnableJpaAuditing;

import lombok.RequiredArgsConstructor;

@Configuration
@RequiredArgsConstructor(onConstructor = @__(@Autowired))
@EnableJpaAuditing
public class ApplicationConfig {

    @Bean
    public ModelMapper modelMapper() {
        return new ModelMapper();
    }
}
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  1. @Configuration annotation will let the application knows that there is configuration to add to the application.
  2. @RequiredArgsConstructor(onConstructor = @__(@Autowired)) will reduce the numbers of boilerplate code. It generates a contructor for this class configuration and take all final field as parameter, and as you might already know, @Autowired annotation is used to automatically inject dependencies.
  3. @EnableJpaAuditing annotation is going to make JPA's auditing feature enabled.

Update application.properties

You can find application.properties under resource package. It is usually empty, but since we are not going to create anything related to actual database, we will work with h2.

spring.datasource.url=jdbc:h2:mem:testdb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=password
spring.jpa.database-platform=org.hibernate.dialect.H2Dialect
spring.jpa.defer-datasource-initialization=true

spring.h2.console.enabled=true
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Create models and dto for random locomotive data

  1. Create class named Lokomotif.java inside model package

    import java.io.Serializable;

import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.EntityListeners;
import jakarta.persistence.Id;

import org.springframework.data.jpa.domain.support.AuditingEntityListener;

import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;

@Getter
@Setter
@Entity
@Builder
@NoArgsConstructor
@AllArgsConstructor
@EntityListeners(AuditingEntityListener.class)
public class Lokomotif implements Serializable {
    @Id
    private String kodeLoko;

    @Column
    private String namaLoko;

    @Column
    private String dimensiLoko;

    @Column
    private String status;

    @Column
    private String createdDate;

}

  2. Create a new class called LokomotifDto.java inside dto package

    import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;

@Data
@Builder
@NoArgsConstructor
@AllArgsConstructor
public class LokomotifDto {

    private String kodeLoko;
    private String namaLoko;
    private String dimensiLoko;
    private String status;
    private String createdDate;

}

Create repository to save generated random data into h2 database

  1. Create a new class inside repository package called LokomotifRepository.java

    import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.stereotype.Repository;

import com.tujuhsembilan.scheduler.model.Lokomotif;

@Repository
public interface LokomotifRepository extends JpaRepository<Lokomotif, String> {

}

Create controller to generate random locomotive data

  1. Create a new controller class called LokomotifController.java inside controller package. To save time in term of generating random data, I use a java random generator dependecy called JavaFaker.

    import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;

import org.modelmapper.ModelMapper;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.hateoas.RepresentationModel;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import com.github.javafaker.Faker;
import com.tujuhsembilan.scheduler.model.Lokomotif;
import com.tujuhsembilan.scheduler.model.dto.LokomotifDto;
import com.tujuhsembilan.scheduler.repository.LokomotifRepository;

import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;

@Slf4j
@RestController
@RequestMapping("api/v1/lokomotif")
@RequiredArgsConstructor(onConstructor = @__(@Autowired))
public class LokomotifController {

    private final ModelMapper modelMapper;

    private final LokomotifRepository lokomotifRepository;

    Faker faker = new Faker();

    @GetMapping("/create-data-lokomotif")
    public ResponseEntity<?> createLokomotifData() {
        LocalDateTime randomDate =  LocalDateTime.now();

        DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyyMMdd'T'HHmmss");

        String formattedDateTime = randomDate.format(formatter);

        Lokomotif lokomotif = Lokomotif.builder()
            .kodeLoko(faker.number().digits(5))
            .namaLoko(faker.address().country())
            .dimensiLoko(faker.number().digits(2))
            .status(faker.number().digits(1))
            .createdDate(formattedDateTime)
            .build();

        var savedModel = lokomotifRepository.save(lokomotif);

        var responseBodyDto = modelMapper.map(savedModel, LokomotifDto.class);

        log.info("Generated Random Lokomotif Data: {}", responseBodyDto);

        return ResponseEntity.status(HttpStatus.CREATED).body(RepresentationModel.of(responseBodyDto));

    }
}

Configure scheduler using spring quartz

  1. Update application.properties

    spring.datasource.url=jdbc:h2:mem:testdb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=password
spring.jpa.database-platform=org.hibernate.dialect.H2Dialect
spring.jpa.defer-datasource-initialization=true

spring.h2.console.enabled=true

spring.quartz.job-store-type=jdbc
spring.quartz.jdbc.initialize-schema=always

  2. In configuration package, add another class called QuartzConfig.java

    import org.quartz.JobDetail;
import org.quartz.Trigger;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.quartz.CronTriggerFactoryBean;
import org.springframework.scheduling.quartz.JobDetailFactoryBean;
import org.springframework.scheduling.quartz.SchedulerFactoryBean;
import org.springframework.scheduling.quartz.SpringBeanJobFactory;

import com.tujuhsembilan.scheduler.job.CreateDataJob;

@Configuration
public class QuartzConfig {

    // Job
    @Bean
    public JobDetailFactoryBean jobDetail() {
        JobDetailFactoryBean factory = new JobDetailFactoryBean();
        factory.setJobClass(CreateDataJob.class);
        factory.setDurability(true);
        return factory;
    }

    // Trigger
    @Bean
    public CronTriggerFactoryBean trigger(JobDetail job) {
        CronTriggerFactoryBean factory = new CronTriggerFactoryBean();
        factory.setJobDetail(job);
        factory.setCronExpression("0/10 * * * * ?"); // Every 10 seconds
        factory.setName("randomDataTrigger");
        factory.setGroup("randomDataGroup");
        return factory;
    }

    // Scheduler
    @Bean
    public SchedulerFactoryBean scheduler(Trigger trigger, JobDetail job, SpringBeanJobFactory springBeanJobFactory) {
        SchedulerFactoryBean factory = new SchedulerFactoryBean();
        factory.setJobDetails(job);
        factory.setTriggers(trigger);
        factory.setJobFactory(springBeanJobFactory);
        return factory;
    }

    @Bean
    public SpringBeanJobFactory springBeanJobFactory() {
        return new SpringBeanJobFactory();
    }

}

  3. Add new class at job package called CreateDataJob.java

    @Slf4j
@Component
@DisallowConcurrentExecution
public class CreateDataJob implements Job, ApplicationContextAware {

    @Autowired
    private LokomotifController lokomotifController;

    @Override
    public void setApplicationContext(org.springframework.context.ApplicationContext applicationContext) {
        lokomotifController = applicationContext.getBean(LokomotifController.class);
    }

    @Override
    public void execute(JobExecutionContext jobExecutionContext) {
        log.info("Job ** {} ** starting @ {}", jobExecutionContext.getJobDetail().getKey().getName(), jobExecutionContext.getFireTime());
        lokomotifController.createLokomotifData();
        log.info("Job ** {} ** completed.  Next job scheduled @ {}", jobExecutionContext.getJobDetail().getKey().getName(),jobExecutionContext.getNextFireTime());
    }

}

Configure Kafka Producer

  1. Update application.properties, it will be the final look of application.properties:

    spring.datasource.url=jdbc:h2:mem:testdb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=password
spring.jpa.database-platform=org.hibernate.dialect.H2Dialect
spring.jpa.defer-datasource-initialization=true

spring.h2.console.enabled=true

spring.quartz.job-store-type=jdbc
spring.quartz.jdbc.initialize-schema=always

spring.kafka.producer.bootstrap-servers=127.0.0.1:9092
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer

  2. In configuration package, add another class called KafkaTopicConfig.java. You have to remember the topic name since it will be used in kafka consumer service

    import org.apache.kafka.clients.admin.NewTopic;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.config.TopicBuilder;

@Configuration
public class KafkaTopicConfig {

    @Bean
    public NewTopic lokomotifDataTopic() {
        return TopicBuilder.name("lokomotifdata").build();
    }
}

  3. In service package, create new class called KafkaProducer.java

    import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.KafkaHeaders;
import org.springframework.messaging.Message;
import org.springframework.messaging.support.MessageBuilder;
import org.springframework.stereotype.Service;

import com.tujuhsembilan.scheduler.model.Lokomotif;

import lombok.extern.slf4j.Slf4j;

@Slf4j
@Service
public class KafkaProducer {

    private KafkaTemplate<String, Lokomotif> kafkaTemplate;

    public KafkaProducer(KafkaTemplate<String, Lokomotif> kafkaTemplate) {
        this.kafkaTemplate = kafkaTemplate;
    }

    public void sendMessage(Lokomotif lokomotifData) {
        log.info(String.format("Message sent: %s ", lokomotifData.toString()));
        Message<Lokomotif> message = MessageBuilder
            .withPayload(lokomotifData)
            .setHeader(KafkaHeaders.TOPIC, "lokomotifdata")
            .build();
        kafkaTemplate.send(message);
    }

}

  4. Finally, update the LokomotifController.java. This is the final look:

    import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;

import org.modelmapper.ModelMapper;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.hateoas.RepresentationModel;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import com.github.javafaker.Faker;
import com.tujuhsembilan.scheduler.model.Lokomotif;
import com.tujuhsembilan.scheduler.model.dto.LokomotifDto;
import com.tujuhsembilan.scheduler.repository.LokomotifRepository;
import com.tujuhsembilan.scheduler.service.KafkaProducer;

import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;

@Slf4j
@RestController
@RequestMapping("api/v1/lokomotif")
@RequiredArgsConstructor(onConstructor = @__(@Autowired))
public class LokomotifController {

    private final ModelMapper modelMapper;

    private final LokomotifRepository lokomotifRepository;

    private final KafkaProducer kafkaProducer;

    Faker faker = new Faker();

    @GetMapping("/create-data-lokomotif")
    public ResponseEntity<?> createLokomotifData() {
        LocalDateTime randomDate =  LocalDateTime.now();

        DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyyMMdd'T'HHmmss");

        String formattedDateTime = randomDate.format(formatter);

        Lokomotif lokomotif = Lokomotif.builder()
            .kodeLoko(faker.number().digits(5))
            .namaLoko(faker.address().country())
            .dimensiLoko(faker.number().digits(2))
            .status(faker.number().digits(1))
            .createdDate(formattedDateTime)
            .build();

        kafkaProducer.sendMessage(lokomotif);

        var savedModel = lokomotifRepository.save(lokomotif);

        var responseBodyDto = modelMapper.map(savedModel, LokomotifDto.class);

        log.info("Generated Random Lokomotif Data: {}", responseBodyDto);

        return ResponseEntity.status(HttpStatus.CREATED).body(RepresentationModel.of(responseBodyDto));

    }
}

Running the application

  1. Makesure zookeeper and kafka application is run.
  2. Since I'm using Visual Studio Code, I can just click run button from SchedulerApplication.java.
  3. The random data might not yet can be seen as a whole, but the log that we have can help to know either the application is work properly or not.

I think that's all for this service. The working code can be find at my github repository

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