Spring-boot+Spring-batch+hibernate+Quartz简单批量读文件写数据用例

好的，我可以为您提供一个简单的批量读文件写数据的例子。首先，您需要使用Spring Boot和Spring Batch框架来处理数据。 接下来，您可以使用Hibernate框架来访问数据库，并使用Quartz框架来调度任务。

下面是一个简单的代码示例，用于批量读取CSV文件并将数据写入数据库中：

1.首先，您需要在您的Spring Boot项目中添加以下依赖：

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-batch</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-quartz</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>

<dependency>
    <groupId>com.opencsv</groupId>
    <artifactId>opencsv</artifactId>
    <version>4.3</version>
</dependency>

2.创建一个CSV文件读取器：

public class CsvItemReader extends FlatFileItemReader<Person> {

    public CsvItemReader(String filePath) {
        setResource(new FileSystemResource(filePath));
        setLineMapper(new DefaultLineMapper<Person>() {{
            setLineTokenizer(new DelimitedLineTokenizer() {{
                setNames(new String[]{"firstName", "lastName", "email"});
            }});
            setFieldSetMapper(new BeanWrapperFieldSetMapper<Person>() {{
                setTargetType(Person.class);
            }});
        }});
    }
}

3.创建一个Person实体类：

@Entity
@Table(name = "person")
public class Person {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    private String firstName;

    private String lastName;

    private String email;

    // getters and setters
}

4.创建一个Person写入器：

public class PersonItemWriter implements ItemWriter<Person> {

    @Autowired
    private PersonRepository personRepository;

    @Override
    public void write(List<? extends Person> persons) throws Exception {
        personRepository.saveAll(persons);
    }
}

5.创建一个Job配置类：

@Configuration
@EnableBatchProcessing
public class BatchConfiguration {

    @Autowired
    private JobBuilderFactory jobBuilderFactory;

    @Autowired
    private StepBuilderFactory stepBuilderFactory;

    @Autowired
    private DataSource dataSource;

    @Autowired
    private PersonItemWriter personItemWriter;

    @Bean
    public Job readCsvFileJob() {
        return jobBuilderFactory.get("readCsvFileJob")
                .incrementer(new RunIdIncrementer())
                .start(readCsvFileStep())
                .build();
    }

    @Bean
    public Step readCsvFileStep() {
        return stepBuilderFactory.get("readCsvFileStep")
                .<Person, Person>chunk(10)
                .reader(new CsvItemReader("data.csv"))
                .processor(new PersonItemProcessor())
                .writer(personItemWriter)
                .build();
    }

    @Bean
    public JobDetail jobDetail() {
        return JobBuilder.newJob().ofType(QuartzJobLauncher.class)
                .storeDurably()
                .withIdentity(JobKey.jobKey("job1"))
                .build();
    }

    @Bean
    public Trigger trigger(JobDetail jobDetail) {
        return TriggerBuilder.newTrigger()
                .forJob(jobDetail)
                .withIdentity(TriggerKey.triggerKey("trigger1"))
                .withSchedule(SimpleScheduleBuilder.simpleSchedule().withIntervalInSeconds(15).repeatForever())
                .build();
    }

    @Bean
    public SchedulerFactoryBean schedulerFactoryBean(Trigger trigger, JobDetail jobDetail) {
        SchedulerFactoryBean factory = new SchedulerFactoryBean();
        factory.setTriggers(trigger);
        factory.setJobDetails(jobDetail);
        return factory;
    }

    @Bean
    public JobLauncher jobLauncher(JobRepository jobRepository) throws Exception {
        SimpleJobLauncher jobLauncher = new SimpleJobLauncher();
        jobLauncher.setJobRepository(jobRepository);
        jobLauncher.afterPropertiesSet();
        return jobLauncher;
    }

    @Bean
    public JobRepository jobRepository(DataSource dataSource, PlatformTransactionManager transactionManager) throws Exception {
        JobRepositoryFactoryBean jobRepositoryFactoryBean = new JobRepositoryFactoryBean();
        jobRepositoryFactoryBean.setDataSource(dataSource);
        jobRepositoryFactoryBean.setTransactionManager(transactionManager);
        jobRepositoryFactoryBean.setDatabaseType("mysql");
        return jobRepositoryFactoryBean.getObject();
    }

    @Bean
    public PlatformTransactionManager transactionManager(DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }
}

6.创建一个Person处理器：

public class PersonItemProcessor implements ItemProcessor<Person, Person> {

    @Override
    public Person process(Person person) throws Exception {
        // perform any data processing here
        return person;
    }
}

7.创建一个Person仓库：

public interface PersonRepository extends JpaRepository<Person, Long> {
}

8.最后，您可以创建一个CSV文件（例如data.csv），并将其放在项目根目录下。CSV文件应具有以下格式：

firstName,lastName,email
John,Doe,john.doe@example.com
Jane,Doe,jane.doe@example.com

然后，您可以运行应用程序，并启动Quartz调度程序。这将读取CSV文件中的数据，并将其写入数据库中。

希望这可以帮助您入门Spring Boot，Spring Batch，Hibernate和Quartz。