前言
上一章Spring boot2.0 实现日志集成的方法(2)主要讲解了将日志信息根据类别输出到不同的文件中，实际开发中我们需要通过日志来监控用户的操作行为、请求的耗时情况，针对耗时久的请求进行性能分析，提升系统性能。
具体实现
采用的Spring Aop切面技术来实现控用户的操作行为、请求的耗时情况。
定义日志注解
@Target({ ElementType.METHOD })
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface LogAnnotation
{
// 模块
String model() default "";
// 功能
String func() default "";
//描述
String desc() default "";
}定义日志切面
@Aspect
@Component
public class LogAspect
{
//请求监控日志，输出到不同日志文件
public static Log logger = LogManager.getLogger("request-access");
@Pointcut("@annotation(com.test.aspect.LogAnnotation)")
private void logPoinCut()
{
}
@Before(value = "logPoinCut()")
public void doBefore(JoinPoint joinPoint)
{
String requestId =TraceIdUtil.getTraceId();
logger.info("Start invoke requestID:[{}]",requestId);
}
@Around(value = "logPoinCut()")
public Object doAround(ProceedingJoinPoint jp) throws Throwable
{
String requestId =TraceIdUtil.getTraceId();
logger.info("Enter request start requestId :[{}]",requestId);
ServletRequestAttributes attributes = (ServletRequestAttributes) RequestContextHolder
.getRequestAttributes();
HttpServletRequest request = attributes.getRequest();
MethodSignature signature = (MethodSignature) jp.getSignature();
Method method = signature.getMethod();
long startTime= System.currentTimeMillis();
OperationLog operationLog = new OperationLog();
LogAnnotation logAnnotation = method.getAnnotation(LogAnnotation.class);
if (logAnnotation != null)
{
String model = logAnnotation.model();
String func = logAnnotation.func();
String desc = logAnnotation.desc();
operationLog.setModel(model);
operationLog.setFunc(func);
operationLog.setDesc(desc);
}
String className = jp.getTarget().getClass().getName();
String methodName = jp.getSignature().getName();
String uri = request.getRequestURI();
String ip = IpUtil.getIpAddr(request);
operationLog.setClassName(className);
operationLog.setMethodName(methodName);
operationLog.setIp(ip);
operationLog.setUri(uri);
StringBuilder param = new StringBuilder();
Object[] args = jp.getArgs();
Object arg = null;
for (int i = 0, j = args.length; i < j; i++)
{
arg = args[i];
param.append(" ")
.append(arg == null ? null : args[i].toString());
if (i != (j - 1))
{
param.append(",").append("\n");
}
}
operationLog.setParam(param.toString());
operationLog.setCreateDate(new Date());
long endTime=System.currentTimeMillis()-startTime;
//可以通过配置设置异常调用请求时间
long costTime=3;
operationLog.setCostTime(endTime);
String logStr = JSON.toJSONString(operationLog);
//将异常请求数据插入数据库
if(endTime>costTime){
//saveOpetionLog(operationLog);
}
logger.info("invoke finish message:{}",logStr);
Object obj = jp.proceed();
return obj;
}
@AfterReturning(pointcut = "logPoinCut()")
public void doAfterReturning(JoinPoint joinPoint)
{
String requestId=TraceIdUtil.getTraceId();
logger.info("End invoke request ID [{}]",requestId);
}
}基本使用
@LogAnnotation(model="用户管理",func="查询用户信息",desc="根据用户名称")
@GetMapping("getUserByName")
public Result getUserByName(@RequestParam String name)
{
logger.info("getUserByName paramter name:[{}]",name);
return Result.success(userService.getUserByName(name));
}输出信息
{
"className": "com.test.controller.UserController",
"costTime": 19,
"createDate": "2022/03/11 15:20:30",
"createUser": "xx",
"ip": "172.18.188.111",
"methodName": "getUserByName",
"param": " zhangsan",
"uri": "/user/getUserByName",
"model":"用户管理",
"func":"查询用户信息",
"desc":"根据用户名称",
"version": 0
}对于一些敏感的信息需要进行加密处理。针对异常的请求进行分析和性能优化。
总结
上述日志信息虽然记录的比较详细，但是缺少了请求的来源，尤其是跨服务之间的调用，则无法进行追踪。链路追踪可以采用Spring Boot +logbck+MDC来实现。
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