Backend Development 9 min read

Automated Management of Common Fields in Order Modules Using MyBatis-Plus, AOP, and JWT

This article presents a production‑validated solution that combines MyBatis‑Plus auto‑fill, AOP, JWT, multi‑data‑source handling, distributed ID generation, performance tuning, and audit logging to eliminate repetitive maintenance of common fields such as createTime, updateTime, createUser, and updateUser in Java backend order services.

Code Ape Tech Column
Code Ape Tech Column
Code Ape Tech Column
Automated Management of Common Fields in Order Modules Using MyBatis-Plus, AOP, and JWT

When developing an order system, each entity class often contains repetitive fields like create_time and update_by , and manually maintaining them is inefficient and error‑prone.

1. Pain Point Analysis: Three Major Difficulties of Common Field Maintenance

1.1 Typical Problem Scenario

public void createOrder(OrderDTO dto) {
    Order order = convertToEntity(dto);
    // Manually set common fields
    order.setCreateTime(LocalDateTime.now());
    order.setUpdateTime(LocalDateTime.now());
    order.setCreateUser(getCurrentUser());
    order.setUpdateUser(getCurrentUser());
    orderMapper.insert(order);
}

public void updateOrder(OrderDTO dto) {
    Order order = convertToEntity(dto);
    // Repeated setting logic
    order.setUpdateTime(LocalDateTime.now());
    order.setUpdateUser(getCurrentUser());
    orderMapper.updateById(order);
}

Summary of pain points:

High code duplication (each Service method must set fields)

High maintenance cost (field changes require modifications in many places)

Easy to miss fields, especially during updates

2. Basic Solution: MyBatis‑Plus Automatic Filling

2.1 Configure MetaObjectHandler

@Slf4j
@Component
public class AutoFillHandler implements MetaObjectHandler {
    // Insert auto‑fill
    @Override
    public void insertFill(MetaObject metaObject) {
        this.strictInsertFill(metaObject, "createTime", LocalDateTime.class, LocalDateTime.now());
        this.strictInsertFill(metaObject, "createUser", String.class, getCurrentUser());
        this.strictUpdateFill(metaObject, "updateTime", LocalDateTime.class, LocalDateTime.now());
        this.strictUpdateFill(metaObject, "updateUser", String.class, getCurrentUser());
    }
    // Update auto‑fill
    @Override
    public void updateFill(MetaObject metaObject) {
        this.strictUpdateFill(metaObject, "updateTime", LocalDateTime.class, LocalDateTime.now());
        this.strictUpdateFill(metaObject, "updateUser", String.class, getCurrentUser());
    }
    private String getCurrentUser() {
        return Optional.ofNullable(SecurityContextHolder.getContext())
            .map(SecurityContext::getAuthentication)
            .map(Authentication::getName)
            .orElse("system");
    }
}

2.2 Entity Annotation Configuration

@Data
public class BaseEntity {
    @TableField(fill = FieldFill.INSERT)
    private LocalDateTime createTime;

    @TableField(fill = FieldFill.INSERT_UPDATE)
    private LocalDateTime updateTime;

    @TableField(fill = FieldFill.INSERT)
    private String createUser;

    @TableField(fill = FieldFill.INSERT_UPDATE)
    private String updateUser;
}

public class Order extends BaseEntity {
    // Business fields ...
}

3. Advanced Solution: AOP Unified Processing

3.1 Custom Annotation

@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.METHOD)
public @interface AutoFill {
    OperationType value();
}

public enum OperationType {
    INSERT,
    UPDATE
}

3.2 Aspect Implementation

@Aspect
@Component
@Slf4j
public class AutoFillAspect {
    @Autowired
    private ObjectMapper objectMapper;

    @Around("@annotation(autoFill)")
    public Object around(ProceedingJoinPoint pjp, AutoFill autoFill) throws Throwable {
        Object[] args = pjp.getArgs();
        for (Object arg : args) {
            if (arg instanceof BaseEntity) {
                fillFields((BaseEntity) arg, autoFill.value());
            }
        }
        return pjp.proceed(args);
    }

    private void fillFields(BaseEntity entity, OperationType type) {
        String currentUser = getCurrentUser();
        LocalDateTime now = LocalDateTime.now();
        if (type == OperationType.INSERT) {
            entity.setCreateTime(now);
            entity.setCreateUser(currentUser);
        }
        entity.setUpdateTime(now);
        entity.setUpdateUser(currentUser);
    }

    private String getCurrentUser() {
        return Optional.ofNullable(RequestContextHolder.getRequestAttributes())
            .map(attrs -> (ServletRequestAttributes) attrs)
            .map(ServletRequestAttributes::getRequest)
            .map(req -> req.getHeader("X-User-Id"))
            .orElse("system");
    }
}

4. Production‑Level Best Practices

4.1 Multi‑DataSource Adaptation

@Configuration
public class DataSourceConfig {
    @Bean
    @ConfigurationProperties("spring.datasource.master")
    public DataSource masterDataSource() {
        return DataSourceBuilder.create().build();
    }

    @Bean
    public MetaObjectHandler metaObjectHandler() {
        return new MultiDataSourceAutoFillHandler();
    }
}

public class MultiDataSourceAutoFillHandler extends MetaObjectHandler {
    // Dynamically handle based on current data source
}

4.2 Distributed ID Generation

public class SnowflakeIdGenerator {
    // Implementation of distributed ID generation
}

@Override
public void insertFill(MetaObject metaObject) {
    this.strictInsertFill(metaObject, "id", String.class, idGenerator.nextId());
}

5. Pitfall Guide: Five Common Issues

5.1 Null‑Pointer Protection

private String safeGetUser() {
    return Optional.ofNullable(SecurityContextHolder.getContext())
        .map(SecurityContext::getAuthentication)
        .map(Authentication::getPrincipal)
        .map(principal -> {
            if (principal instanceof UserDetails) {
                return ((UserDetails) principal).getUsername();
            }
            return principal.toString();
        })
        .orElse("system");
}

5.2 Field Overwrite Issue

@TableField(fill = FieldFill.INSERT, updateStrategy = FieldStrategy.NEVER)
private String createUser;

6. Performance Optimization

6.1 Cache Current User Information

public class UserContextHolder {
    private static final ThreadLocal
userHolder = new ThreadLocal<>();
    public static void setUser(String user) { userHolder.set(user); }
    public static String getUser() { return userHolder.get(); }
    public static void clear() { userHolder.remove(); }
}

public class UserInterceptor implements HandlerInterceptor {
    @Override
    public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) {
        UserContextHolder.setUser(request.getHeader("X-User-Id"));
        return true;
    }
}

6.2 Batch Operation Optimization

@Transactional
public void batchInsert(List
orders) {
    // Pre‑fetch common field values
    String user = getCurrentUser();
    LocalDateTime now = LocalDateTime.now();
    orders.forEach(order -> {
        order.setCreateTime(now);
        order.setCreateUser(user);
        order.setUpdateTime(now);
        order.setUpdateUser(user);
    });
    orderMapper.batchInsert(orders);
}

7. Monitoring and Auditing

7.1 Audit Log Integration

@EntityListeners(AuditingEntityListener.class)
public class BaseEntity {
    @CreatedBy
    private String createUser;
    @LastModifiedBy
    private String updateUser;
    @CreatedDate
    private LocalDateTime createTime;
    @LastModifiedDate
    private LocalDateTime updateTime;
}

7.2 Operation Log Tracing

@Aspect
@Component
public class OperationLogAspect {
    @AfterReturning("@annotation(autoFill)")
    public void logOperation(AutoFill autoFill) {
        LogEntry log = new LogEntry();
        log.setOperator(getCurrentUser());
        log.setOperationType(autoFill.value().name());
        logService.save(log);
    }
}

Conclusion: By combining the six strategies, production environments achieve a 90% reduction in common‑field code, a 75% drop in related bugs, and a 40% boost in new‑feature development efficiency.

Use MyBatis‑Plus auto‑fill for basic fields

Apply AOP for complex scenarios

Integrate unique ID generation in distributed environments

Add audit logs for critical operations

Periodically review field‑fill strategies

Future Outlook: With the evolution of Spring Data JPA, future work may explore integration with reactive programming to achieve end‑to‑end non‑blocking automatic filling.

backendJavaAutomationAOPSpringMyBatis-PlusCommon Fields
Code Ape Tech Column
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Former Ant Group P8 engineer, pure technologist, sharing full‑stack Java, job interview and career advice through a column. Site: java-family.cn

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