在Spring批处理中使用FlatFileItemReader读取CSV文件,并使用@JoinColumn属性将实体映射到CSV字段,可以按照以下步骤进行:
以下是一个示例代码:
@Entity
public class MyEntity {
@Id
private Long id;
@JoinColumn("csv_field_1")
private String field1;
@JoinColumn("csv_field_2")
private int field2;
// 省略getter和setter方法
}
@Component
public class MyEntityFieldSetMapper implements FieldSetMapper<MyEntity> {
@Override
public MyEntity mapFieldSet(FieldSet fieldSet) throws BindException {
MyEntity entity = new MyEntity();
entity.setField1(fieldSet.readString("csv_field_1"));
entity.setField2(fieldSet.readInt("csv_field_2"));
return entity;
}
}
@Component
public class MyEntityLineMapper implements LineMapper<MyEntity> {
private DefaultLineMapper<MyEntity> delegate = new DefaultLineMapper<>();
public MyEntityLineMapper() {
delegate.setLineTokenizer(new DelimitedLineTokenizer(","));
delegate.setFieldSetMapper(new MyEntityFieldSetMapper());
}
@Override
public MyEntity mapLine(String line, int lineNumber) throws Exception {
return delegate.mapLine(line, lineNumber);
}
}
@Configuration
@EnableBatchProcessing
public class BatchConfig {
@Bean
public FlatFileItemReader<MyEntity> myEntityReader() {
FlatFileItemReader<MyEntity> reader = new FlatFileItemReader<>();
reader.setResource(new ClassPathResource("data.csv"));
reader.setLineMapper(new MyEntityLineMapper());
return reader;
}
// 其他配置...
@Autowired
private JobBuilderFactory jobBuilderFactory;
@Autowired
private StepBuilderFactory stepBuilderFactory;
@Autowired
private FlatFileItemReader<MyEntity> myEntityReader;
@Bean
public Step myStep() {
return stepBuilderFactory.get("myStep")
.<MyEntity, MyEntity>chunk(10)
.reader(myEntityReader)
.processor(myProcessor())
.writer(myWriter())
.build();
}
// 其他配置...
}
上述示例代码中,通过FlatFileItemReader读取名为"data.csv"的CSV文件。MyEntityFieldSetMapper将CSV字段映射到MyEntity对象的属性。MyEntityLineMapper将CSV文件中的一行数据映射为MyEntity对象。在BatchConfig中配置了批处理的步骤,并将FlatFileItemReader配置为读取器。
在实际使用中,你可以根据具体需求来调整和扩展代码。这里只是给出一个基本的示例供参考。
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