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Logback 在 Spring Boot 中配置 access

Logback 在 Spring Boot 中配置 access

作者: mecury | 来源:发表于2019-01-15 21:35 被阅读16次

    本文不介绍细节,只是将实际应用中的日志配置,在这里做个记录,方便自己大家学习借鉴

    服务中的日志配置一直都是开发中比较重要的部分。先看下我认为的日志分类:

    • access访问日志
      调用接口的时候,对于每一个调用都记录一下访问日志。方便后面的请求追踪
    • 常规日志:代码中的日志,就是我们在代码中打印的各种日志
    • 性能日志:性能日志是为了方便优化代码,监控性能的日志。在我所在的公司记录了三种有关于性能的日志
      • controller性能日志
        记录在Controller层次的放温暖耗时信息
      • service性能日志
        记录调用Service方法中的访问耗时信息
      • dao性能日志
        记录dao层访问数据库的耗时信息

    下面介绍两种实现日志记录的方式:

    • 第一种:Spring Sleuth + Logback
      • 借助于 Spring Cloud 组件 Spring sleuth 实现分布式服务追踪,使用 Logback 定制日志格式,
      • 这种方式这里主要是配置了 常规日志access日志。性能日志我不知道能不能配置,不知道能实现不?这里就不说了
    • 第二种:AOP + Inteceptor + Logback
      • 使用拦截器拦截请求,打印 access日志, 目的是为了生成能够追踪常规日志的 traceId
      • 使用 AOP 监控 controllerservicedao 层中的方法,提取性能日志需要的时间内信息

    1. Spring Sleuth + Logback 实现

    Spring SleuthSpring Cloud 提供的分布式服务追踪框架,使用这个框架可以很方便的打印日志。通过 traceIdspanId 还可以在分布式服务中方便追踪请求.

    Spring boot 版本:

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.0.1.RELEASE</version>
        <relativePath/>
    </parent>
    

    依赖 jar 包:

    <dependency>
        <groupId>net.rakugakibox.spring.boot</groupId>
        <artifactId>logback-access-spring-boot-starter</artifactId>
        <version>2.7.1</version>
    </dependency>
    
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-sleuth</artifactId>
        <version>2.0.0.RELEASE</version>
    </dependency>
    

    logback 配置:

    环境变量配置:
    SpringBoot自动映射了一些值到 Logback。如:

    logging.path --> LOG_PATH
    logging.file --> LOG_FILE
    
    spring.application.name=tp-forum-api
    # Log
    logging.path: ${LOG_PATH:${LOG_TEMP:logs}}
    logging.file=${logging.path}/app.log
    
    • logback-spring.xml
    <?xml version="1.0" encoding="UTF-8"?>
    <configuration>
    
        <!--添加配置文件-->
        <include resource="org/springframework/boot/logging/logback/defaults.xml" />
        <include resource="org/springframework/boot/logging/logback/console-appender.xml" />
    
        <!--获取 spring 配置中的 key 为 spring.application.name 的 value 值-->
        <springProperty scope="context" name="applicationName" source="spring.application.name"/>
    
        <!--property 用于定义变量。log 在日志中输出位置-->
        <property name="LOG_FILE" value="${LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/spring.log}"/>
    
        <!--appender打印配置-->
        <!--RollingFileAppender:每天输出到一个新的日志文件-->
        <!--TimeBasedRollingPolicy:根据时间进行滚动。设置日志总大小为1G,时间只保存30天内的日志-->
        <appender name="APP-LOG" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <file>${LOG_FILE}</file>
            <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
                <!-- daily rollover -->
                <fileNamePattern>${LOG_FILE}.%d{yyyy-MM-dd}.log</fileNamePattern>
                <!-- keep 30 days' worth of history capped at 3GB total size -->
                <maxHistory>30</maxHistory>
                <totalSizeCap>1GB</totalSizeCap>
            </rollingPolicy>
    
            <encoder>
                <!--date | level | application name, traceId, SpanId, SpanExport | thread | logger | %F.%M:%L |msg -->
                <!-- :- 表示前面不存在,就显示 - -->
                <pattern>[%date{ISO8601}]|%-5level|[${applicationName},%X{X-B3-TraceId:-},%X{X-B3-SpanId:-}%X{X-Span-Export:-}]|[%thread]|%logger{0}|%F.%M:%L|%msg%n</pattern>
            </encoder>
        </appender>
    
    
        <!--日志打印 logger-->
        <logger name="org.springframework.web" level="INFO"/>
    
        <!--根 logger,没有指定logger时的默认值-->
        <root level="INFO">
            <appender-ref ref="APP-LOG" />
        </root>
    </configuration>
    

    按照下面的配置,常规日志打印出来的格式应该如下:
    对应的格式是:

    data | level | application name, traceId, SpanId, SpanExport | thread | logger | %F.%M:%L |msg 
    
    [2019-01-15 19:44:44,608]|WARN |[tp-forum-api,903df707120b2927,903df707120b2927,false]|[http-nio-8080-exec-1]|HelloWrold|HelloWrold.java.hello:21|This is a warn message
    [2019-01-15 19:44:44,609]|INFO |[tp-forum-api,903df707120b2927,903df707120b2927,false]|[http-nio-8080-exec-1]|HelloWrold|HelloWrold.java.hello:22|This is a info message
    [2019-01-15 19:44:44,609]|ERROR|[tp-forum-api,903df707120b2927,903df707120b2927,false]|[http-nio-8080-exec-1]|HelloWrold|HelloWrold.java.hello:23|This is a error message
    
    • logback-access-spring.xml
    <configuration>
      <!-- always a good activate OnConsoleStatusListener -->
      <!-- 监听Logback状态变化,立即输出到控制台 -->
      <statusListener class="ch.qos.logback.core.status.OnConsoleStatusListener" />
      
      <!-- properties 配置 -->
      <springProperty scope="context" name="applicationName" source="spring.application.name"/>
    
      <!--配置的目录-->
      <property name="ACCESS_LOG_FILE" value="${ACCESS_LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/access.log}"/>
      
      <!--appender规则-->
      <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <file>${ACCESS_LOG_FILE}</file>
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
          <fileNamePattern>${ACCESS_LOG_FILE}.%d{yyyy-MM-dd}.log.zip</fileNamePattern>
        </rollingPolicy>
    
        <encoder>
          <pattern>[%t{ISO8601}]|[${applicationName},%i{X-B3-TraceId},%i{X-B3-SpanId:-},%i{X-Span-Export:-}]|%A|%h|%i{X-Real-IP}|%u|"%r"|%s|%b|%D|"%i{Referer}"|"%i{User-Agent}"</pattern>
        </encoder>
      </appender>
    
      <appender-ref ref="FILE" />
    </configuration>
    

    下面是打印的情况:
    可以看出 TraceIdSpanId 没有打印出来,猜测是因为access日志打印的时候,还没有生成该Id。因此没有好的方法让access日志与常规代码日志对应起来,所以后来没有采用该方法。

    [2019-01-15 19:44:44,640]|[tp-forum-api,-,-,-]|10.2.202.203|0:0:0:0:0:0:0:1|-|-|"GET /hello HTTP/1.1"|200|5|96|"-"|"PostmanRuntime/7.4.0"
    

    AOP + Inteceptor + Logback

    • 环境配置
    <parent>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-parent</artifactId>
      <version>2.0.1.RELEASE</version>
      <relativePath />
    </parent>
    
    • 依赖 jar
    <dependency>
      <groupId>org.perf4j</groupId>
      <artifactId>perf4j</artifactId>
      <version>0.9.16</version>
    </dependency>
    
    <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-aop</artifactId>
      <version>2.1.1.RELEASE</version>
    </dependency>
    
    • logback-spring.xml
    <?xml version="1.0" encoding="UTF-8"?>
    <configuration>
    
        <!--常量。定义文件的输出位置-->
        <property name="log.dir" value="logs"/>
        <!--日志最大的历史 30 天-->
        <property name="maxHistory" value="30"/>
    
        <!--添加配置文件-->
        <include resource="org/springframework/boot/logging/logback/defaults.xml"/>
        <include resource="org/springframework/boot/logging/logback/console-appender.xml"/>
    
        <!--添加Logger范围内的全局变量-->
        <springProperty scope="context" name="applicationName" source="spring.application.name"/>
        <!--文件存放的位置。':' 代表前面不存在就取后面的-->
        <!--LOG_FILE 对应配置文件中 logging.file LOG_PATH 对应 logging.path -->
        <property name="LOG_FILE"
                  value="${LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/spring.log}"/>
    
        <!-- 默认定义,输出到文件 LOG_FILE -->
        <appender name="app" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <file>${LOG_FILE}</file>
            <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
                <!-- daily rollover -->
                <fileNamePattern>${LOG_FILE}.%d{yyyy-MM-dd}.log</fileNamePattern>
                <!-- keep 30 days' worth of history capped at 3GB total size -->
                <maxHistory>30</maxHistory>
                <totalSizeCap>1GB</totalSizeCap>
            </rollingPolicy>
            <encoder>
                <pattern>
                    [%d{yyyy-MM-dd-HH:mm:ss}]|%-5level|%X{X-B3-TraceId:-}|[%thread]|%logger{36}.%M:%L| %msg%n
                </pattern>
            </encoder>
        </appender>
    
        <!-- 输出到 Console 控制台 -->
        <appender name="STDOUT_CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
            <Target>System.out</Target>
            <encoder>
                <pattern>%d{yyyy-MM-dd HH:mm:ss} %-40.40c [%5.5thread] %-5p - %m%n</pattern>
            </encoder>
        </appender>
    
    
        <!--定义 access 日志的地址-->
        <property name="ACCESS_LOG_FILE"
                  value="${ACCESS_LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/access/access.log}"/>
    
        <!-- 定义 access 访问日志,输出到 ACCESS_LOG_FILE -->
        <appender name="accesslog" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <file>${ACCESS_LOG_FILE}</file>
            <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
                <fileNamePattern>${ACCESS_LOG_FILE}.%d{yyyy-MM-dd}.log</fileNamePattern>
                <maxHistory>30</maxHistory>
                <totalSizeCap>1GB</totalSizeCap>
            </rollingPolicy>
            <encoder>
                <pattern>
                    %d{yyyy-MM-dd-HH:mm:ss} %m %n
                </pattern>
            </encoder>
        </appender>
    
        <!-- service 性能日志 -->
        <appender name="statFileAppender_service"
                  class="ch.qos.logback.core.rolling.RollingFileAppender">
            <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
                <FileNamePattern>${log.dir}/perf_service/perfStats.log.%d{yyyy-MM-dd}.log
                </FileNamePattern>
                <maxHistory>${maxHistory}</maxHistory>
            </rollingPolicy>
            <layout class="ch.qos.logback.classic.PatternLayout">
                <Pattern>
                    %d{yyyy-MM-dd HH:mm:ss} %-5level %logger{36} - %msg%n
                </Pattern>
            </layout>
        </appender>
    
        <!-- controller 性能日志 -->
        <appender name="statFileAppender" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
                <FileNamePattern>${log.dir}/perf/perfStats.log.%d{yyyy-MM-dd}.log</FileNamePattern>
                <maxHistory>${maxHistory}</maxHistory>
            </rollingPolicy>
            <layout class="ch.qos.logback.classic.PatternLayout">
                <Pattern>
                    %d{yyyy-MM-dd HH:mm:ss} %-5level %logger{36} - %msg%n
                </Pattern>
            </layout>
        </appender>
    
    
        <!--DAO 性能日志-->
        <appender name="statFileAppender_dao"
                  class="ch.qos.logback.core.rolling.RollingFileAppender">
            <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
                <FileNamePattern>${log.dir}/perf_dao/perfStats.log.%d{yyyy-MM-dd}.log
                </FileNamePattern>
                <maxHistory>${maxHistory}</maxHistory>
            </rollingPolicy>
            <layout class="ch.qos.logback.classic.PatternLayout">
                <Pattern>
                    %d{yyyy-MM-dd HH:mm:ss} %-5level %logger{36} - %msg%n
                </Pattern>
            </layout>
        </appender>
    
        <!--配置周期汇总-->
        <!--service-->
        <appender name="CoalescingStatistics_Service"
                  class="org.perf4j.logback.AsyncCoalescingStatisticsAppender">
            <!-- TimeSlice配置多少时间间隔去做一次汇总写入文件中 -->
            <timeSlice>10000</timeSlice>
            <appender-ref ref="statFileAppender_service"/>
        </appender>
    
        <!--Controller-->
        <appender name="CoalescingStatistics"
                  class="org.perf4j.logback.AsyncCoalescingStatisticsAppender">
            <!-- TimeSlice配置多少时间间隔去做一次汇总写入文件中 默认值是 30000 ms -->
            <timeSlice>10000</timeSlice>
            <appender-ref ref="statFileAppender"/>
        </appender>
    
        <!--DAO-->
        <appender name="CoalescingStatistics_dao"
                  class="org.perf4j.logback.AsyncCoalescingStatisticsAppender">
            <!-- TimeSlice配置多少时间间隔去做一次汇总写入文件中 默认值是 30000 ms -->
            <timeSlice>10000</timeSlice>
            <appender-ref ref="statFileAppender_dao"/>
        </appender>
    
        <!-- access performance logger -->
        <logger name="access_log" additivity="false">
            <level value="info"/>
            <appender-ref ref="accesslog"/>
        </logger>
    
        <!-- Service performance logger -->
        <logger name="service.perf.logger" level="info" additivity="false">
            <appender-ref ref="CoalescingStatistics_Service"/>
        </logger>
    
        <!-- Controller performance logger -->
        <logger name="org.perf4j.TimingLogger" level="info" additivity="false">
            <appender-ref ref="CoalescingStatistics"/>
        </logger>
    
        <!-- dao performance log -->
        <logger name="dao.perf.logger" level="info" additivity="false">
            <appender-ref ref="CoalescingStatistics_dao"/>
        </logger>
    
        <!-- org.springframework包下日志-->
        <logger name="org.springframework" level="info" additivity="true">
            <appender-ref ref="app"/>
            <appender-ref ref="STDOUT_CONSOLE"/>
        </logger>
    
        <!-- 根 logger。默认 logger -->
        <root level="info">
            <appender-ref ref="STDOUT_CONSOLE"/>
            <appender-ref ref="app"/>
        </root>
    
        <!-- org.springframework.web 包下日志-->
        <logger name="org.springframework.web" level="info"/>
    
    </configuration>
    

    完成上面的配置,应该是只能打印出常规日志。性能日志与access日志还不能打印出来。
    为了打印出性能,日志需要结合上面的配置 logger 与 监听文件的AOP切面,来提取响应时间.

    • 配置性能日志的切面:

    service 的性能日志切面:

    @Aspect
    @Component
    public class Perf4jLogAspectService {
    
      //与 logback-spring.xml 中的 name 保持一致
      private static final String STOP_WATCH_LOGGER_NAME = "service.perf.logger";
      private static final Log STOP_WATCH_LOGGER = LogFactory.getLog(STOP_WATCH_LOGGER_NAME);
    
      //环绕监听 service文件下的方法调用
      @Around("execution(public * com.renren.truckerpathapi.service..*.*(..))")
      public Object logPer4jLogs(ProceedingJoinPoint point) throws Throwable {
    
        String className = point.getSignature().getDeclaringTypeName();
        String methodName = point.getSignature().getName();
    
        String name = className + "." + methodName;
        StopWatch stopwatch = new CommonsLogStopWatch(STOP_WATCH_LOGGER);
    
        final Object returnValue = point.proceed();
    
        stopwatch.stop(name);
    
        return returnValue;
      }
    }
    

    controllerdao 层的类似:

    @Aspect
    @Component
    public class Perf4jLogAspectController {
    
      private static final String STOP_WATCH_LOGGER_NAME = "org.perf4j.TimingLogger";
      private static final Log STOP_WATCH_LOGGER = LogFactory.getLog(STOP_WATCH_LOGGER_NAME);
    
      @Around("execution(public * com.renren.truckerpathapi.controller..*.*(..))")
      public Object logPer4jLogs(ProceedingJoinPoint point) throws Throwable {
        String className = point.getSignature().getDeclaringTypeName();
        String methodName = point.getSignature().getName();
    
        String name = className + "." + methodName;
        StopWatch stopwatch = new CommonsLogStopWatch(STOP_WATCH_LOGGER);
    
        final Object returnValue = point.proceed();
    
        stopwatch.stop(name);
    
        return returnValue;
      }
    
    }
    
    @Component
    @Aspect
    public class Perf4jLogAspectDao {
    
      private static final String STOP_WATCH_LOGGER_NAME = "dao.perf.logger";
      private static final Log STOP_WATCH_LOGGER = LogFactory.getLog(STOP_WATCH_LOGGER_NAME);
    
      @Around("execution(public * com.renren.truckerpathapi.dao..*.*(..))")
      public Object logPer4jLogs(ProceedingJoinPoint point) throws Throwable {
        String className = point.getSignature().getDeclaringTypeName();
        String methodName = point.getSignature().getName();
    
        String name = className + "." + methodName;
        StopWatch stopwatch = new CommonsLogStopWatch(STOP_WATCH_LOGGER);
    
        final Object returnValue = point.proceed();
    
        stopwatch.stop(name);
    
        return returnValue;
      }
    }
    

    对于access日志,还记得上面所说的问题吗?Spring Sleuthaccess 中不能生成 traceId的问题。
    这里采用的处理方式,是自己添加一个请求拦截器,在请求返回时进行拦截(无论成功失败,请求都是会返回的),调用 logback-spring.xml 中配置的 logger 进行打印。实现如下:

    • AccessLogInterceptor.java
    @Component
    public class AccessLogInterceptor implements HandlerInterceptor {
    
      @Autowired
      private GetUserByTokenService getUserByTokenService;
    
    
      private static final Log LOGGER = LogFactory.getLog(AccessLogInterceptor.class);
      private static final Log ACCESS_LOG = LogFactory.getLog("access_log");
    
      private static final String SEPARATOR = "|";
      private static final String EMPTY_STR = "";
    
      @Override
      public boolean preHandle(HttpServletRequest request, HttpServletResponse response,
                               Object handler) {
        return true;
      }
    
      @Override
      public void postHandle(HttpServletRequest request, HttpServletResponse response, Object handler, ModelAndView modelAndView) {
    
      }
    
      @Override
      public void afterCompletion(HttpServletRequest request, HttpServletResponse response,
                                  Object handler, Exception ex) {
        //domain & uri & refer
        String domain = request.getServerName();
        String uri = request.getRequestURI();
        String refer = request.getHeader("Referer");
        final String token = request.getHeader("x-auth-token");
        final String installation_ID = request.getHeader("Installation-ID");
    
        final Users loginUser = getUserByTokenService.getUserByToken(token);
    
        //traceId
        String traceId = request.getHeader("X-B3-TraceId");
        if (StringUtils.isEmpty(traceId)) {
          traceId = UUID.randomUUID().toString();
        }
        MDC.put("X-B3-TraceId", traceId);
    
        String remoteIp = getRemoteAddr(request);
        String userId = loginUser == null ? installation_ID : String.valueOf(loginUser.getId());
        String userName = loginUser == null ? "" :
          loginUser.getFirstName() + " " + loginUser.getLastName();
        String userAgent = request.getHeader("User-Agent");
        Map<String, String> paramPair = getRequestParamValueMap(request);
    
        printAccesslog(traceId, remoteIp, userId, userName, domain, uri, refer, userAgent, paramPair);
      }
    
      //打印access log
      private void printAccesslog(String traceId, String remoteIp, String userId, String userName,
                                  String domain, String uri, String refer,
                                  String userAgent, Map<String, String> paramPair) {
    
        StringBuilder sb = new StringBuilder();
    
        long timestamp = System.currentTimeMillis();
        sb.append(SEPARATOR).append(timestamp);
        sb.append(SEPARATOR).append(remoteIp);
        sb.append(SEPARATOR).append(userId);
        sb.append(SEPARATOR).append(userName);
        //RequestId用于定位access log与业务log
        sb.append(SEPARATOR).append(traceId);
        sb.append(SEPARATOR).append(domain);
        sb.append(SEPARATOR).append(uri);
        sb.append(SEPARATOR).append(refer);
        sb.append(SEPARATOR).append(userAgent);
        //将参数map打印成json格式,利于统计分析
        sb.append(SEPARATOR).append(JsonUtils.toJson(paramPair));
    
        ACCESS_LOG.info(sb.toString());
      }
    
      private String getRemoteAddr(HttpServletRequest request) {
        if (LOGGER.isDebugEnabled()) {// 打印所有日志
          LOGGER.debug("X-Forwarded-For:" + request.getHeader
            ("X-Forwarded-For") +
            "\tProxy-Client-IP:" + request.getHeader("Proxy-Client-IP") +
            "\t:WL-Proxy-Client-IP:" +
            request.getHeader("WL-Proxy-Client-IP") + "\tRemoteAddr:" + request
            .getRemoteAddr());
        }
        String ip;
        @SuppressWarnings("unchecked")
        Enumeration<String> xffs = request.getHeaders("X-Forwarded-For");
        if (xffs.hasMoreElements()) {
          String xff = xffs.nextElement();
          ip = resolveClientIPFromXFF(xff);
          if (isValidIP(ip)) {
            return ip;
          }
        }
        ip = request.getHeader("Proxy-Client-IP");
        if (isValidIP(ip)) {
          return ip;
        }
        ip = request.getHeader("WL-Proxy-Client-IP");
        if (isValidIP(ip)) {
          return ip;
        }
        return request.getRemoteAddr();
      }
    
      /**
       * 从X-Forwarded-For头部中获取客户端的真实IP。 X-Forwarded-For并不是RFC定义的标准HTTP请求Header
       * ,可以参考http://en.wikipedia.org/wiki/X-Forwarded-For
       *
       * @param xff X-Forwarded-For头部的值
       * @return 如果能够解析到client IP,则返回表示该IP的字符串,否则返回null
       */
      private String resolveClientIPFromXFF(String xff) {
        if (xff == null || xff.isEmpty()) {
          return null;
        }
        String[] ss = xff.split(",");
        for (int i = ss.length - 1; i >= 0; i--) {// x-forward-for链反向遍历
          String ip = ss[i].trim();
          if (isValidIP(ip)) {
            return ip;
          }
        }
    
        return null;
      }
    
      private static final Pattern ipPattern = Pattern.compile("([0-9]{1,3}\\.){3}[0-9]{1,3}");
    
      private boolean isValidIP(String ip) {
        if (ip == null || ip.isEmpty() || "unknown".equalsIgnoreCase(ip)) {
          return false;
        }
        return ipPattern.matcher(ip).matches();
      }
    
      private Map<String, String> getRequestParamValueMap(HttpServletRequest request) {
        Map<String,String> param2value = new HashMap<>();
        Enumeration e = request.getParameterNames();
        String param;
    
        while(e.hasMoreElements()) {
          param = (String)e.nextElement();
          if(param != null) {
            String value = request.getParameter(param);
            if(value != null) {
              param2value.put(param, value);
            }
          }
        }
    
        return param2value;
      }
    }
    
    

    最后,需要应用这个拦截器:

    @Configuration
    @EnableWebMvc
    public class ApiWebMvcConfig implements WebMvcConfigurer {
    
      @Bean
      public HandlerInterceptor getAccessLogInterceptor(){
        return new AccessLogInterceptor();
      }
    
      @Override
      public void addInterceptors(InterceptorRegistry registry) {
        registry.addInterceptor(getAccessLogInterceptor()).addPathPatterns("/**");
      }
    }
    

    总结:

    以上,就是我这里实践的添加日志的两种的方式。现在公司项目使用的是第二种添加方式,毕竟打印的日志全一点。

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