我通过一个简单的方面记录方法输入和输出参数。
package com.mk.cache;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import java.util.Arrays;
@Aspect
@Component
public class LoggingAspect {
@Around("within(@com.mk.cache.LoggedIO *) && execution(* *(..))")
public Object logAroundPublicMethod(ProceedingJoinPoint joinPoint) throws Throwable {
String wrappedClassName = joinPoint.getSignature().getDeclaringTypeName();
Logger LOGGER = LoggerFactory.getLogger(wrappedClassName);
String methodName = joinPoint.getSignature().getName();
LOGGER.info("LOG by AOP - invoking {}({})", methodName, Arrays.toString(joinPoint.getArgs()));
Object result = joinPoint.proceed();
LOGGER.info("LOG by AOP - result of {}={}", methodName, result);
return result;
}
}
由此注释附加。
package com.mk.cache;
public @interface LoggedIO {
}
我使用这种机制来记录这样的方法的输入和输出(注意@LoggedIO):
package com.mk.cache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
@Service
@LoggedIO
public class CachedService {
private static final Logger LOGGER = LoggerFactory.getLogger(CachedService.class);
@Cacheable("myCacheGet")
public int getInt(int input) {
LOGGER.info("Doing real work");
return input;
}
}
我也使用Spring Cache。这是示例应用程序。
package com.mk.cache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.CommandLineRunner;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cache.annotation.EnableCaching;
@SpringBootApplication
@EnableCaching
public class CacheApplication implements CommandLineRunner {
private static final Logger LOGGER = LoggerFactory.getLogger(CacheApplication.class);
public static void main(String[] args) {
SpringApplication.run(CacheApplication.class, args);
}
@Autowired
private CachedService cachedService;
@Override
public void run(String... args) throws Exception {
LOGGER.info("cachedService.getInt(1)={}", cachedService.getInt(1));
LOGGER.info("cachedService.getInt(1)={}", cachedService.getInt(1));
}
}
输出如下:
LOG by AOP - invoking getInt([1])
Doing real work
LOG by AOP - result of getInt=1
cachedService.getInt(1)=1
cachedService.getInt(1)=1
我的问题是,当我第二次调用LOGGER.info("cachedService.getInt(1)={}", cachedService.getInt(1));
时,会使用缓存的值,但不会记录输入和输出参数,因为缓存是第一个包装器。是否有可能以某种方式将LoggingAspect配置为第一个包装器,因此我将能够同时使用AOP日志记录和两个Spring Cache?
答案 0 :(得分:4)
只需实现spring Ordered接口,并在getOrder()方法中返回1。
@Aspect
@Component
public class LoggingAspect implements Ordered {
@Around("within(@com.mk.cache.LoggedIO *) && execution(* *(..))")
public Object logAroundPublicMethod(ProceedingJoinPoint joinPoint) throws Throwable {
String wrappedClassName = joinPoint.getSignature().getDeclaringTypeName();
Logger LOGGER = LoggerFactory.getLogger(wrappedClassName);
String methodName = joinPoint.getSignature().getName();
LOGGER.info("LOG by AOP - invoking {}({})", methodName, Arrays.toString(joinPoint.getArgs()));
Object result = joinPoint.proceed();
LOGGER.info("LOG by AOP - result of {}={}", methodName, result);
return result;
}
@Override
public int getOrder() {
return 1;
}
}
了解更多here。第11.2.7章