Spring Batch是一个轻量级的批处理框架,用于大规模处理数据。它提供了丰富的功能和灵活性,能够处理各种数据源和大规模数据处理需求。下面是使用Spring Batch解析CSV文件并在Spring Boot控制台上打印的步骤:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-batch</artifactId>
</dependency>
@Configuration
@EnableBatchProcessing
public class CsvFileParsingJobConfig {
@Autowired
private JobBuilderFactory jobBuilderFactory;
@Autowired
private StepBuilderFactory stepBuilderFactory;
@Bean
public ItemReader<String> csvFileReader() {
FlatFileItemReader<String> reader = new FlatFileItemReader<>();
reader.setResource(new ClassPathResource("data.csv"));
reader.setLineMapper(new PassThroughLineMapper());
return reader;
}
@Bean
public ItemProcessor<String, String> csvFileProcessor() {
return new ItemProcessor<String, String>() {
@Override
public String process(String item) throws Exception {
return item;
}
};
}
@Bean
public ItemWriter<String> csvFileWriter() {
return new ItemWriter<String>() {
@Override
public void write(List<? extends String> items) throws Exception {
for (String item : items) {
System.out.println(item);
}
}
};
}
@Bean
public Step csvFileParsingStep(ItemReader<String> reader, ItemProcessor<String, String> processor, ItemWriter<String> writer) {
return stepBuilderFactory.get("csvFileParsingStep")
.<String, String>chunk(10)
.reader(reader)
.processor(processor)
.writer(writer)
.build();
}
@Bean
public Job csvFileParsingJob(Step csvFileParsingStep) {
return jobBuilderFactory.get("csvFileParsingJob")
.start(csvFileParsingStep)
.build();
}
}
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@EnableBatchProcessing
注解,以启用Spring Batch功能。这样,使用Spring Batch解析CSV文件并在Spring Boot控制台上打印的任务就完成了。
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