当我迭代 Java bean 时,我将 Univocity CSV 解析器与例程一起使用。有没有办法验证 CSV 标头?当我编辑 CSV 并添加无效标头时,它只是插入给定的 bean null 而没有任何错误。
型号类:
public class Customer {
@Format(formats ="yyyy-MM-dd")
@Parsed(field="C_DAY")
private Date day;
@Parsed(field="C_ID")
private Long id;
@Parsed(field="C_TYPE")
private String type;
@Format(formats ="yyyy-MM-dd")
@Parsed(field="C_ORIGIN_DATE")
private Date originDate;
@Format(formats ="yyyy-MM-dd")
@Parsed(field="C_REL_DATE")
private Date relDate;
@Parsed(field="C_LEGAL_ID")
private String legalId;
@Parsed(field="C_NAME")
private String name;}
解析器:
@Autowired
private CustomerDAO dao;
public void parse(File file) throws IOException, SQLException, CustomerValidationException, ParseException {
CsvParserSettings parserSettings = new CsvParserSettings();
parserSettings.getFormat().setLineSeparator("\n");
parserSettings.setHeaderExtractionEnabled(false);
CsvRoutines routines = new CsvRoutines(parserSettings);
List<Customer> customers = new ArrayList<>();
java.util.Date stamp = getTimestamp(file);
dao.checkTimestampDate(stamp);
for (Customer customer : routines.iterate(Customer.class, file, "UTF-8")) {
validateFileDateWithFileName(stamp, customer.getDay());
validateCustomer(customer);
customers.add(customer);
}
dao.save(customers);
}