实战 | Java 知识体系

# 实战

# 1. SpringBoot

# ELK配置文件

logback-spring.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE configuration>
<configuration>
    <include resource="org/springframework/boot/logging/logback/defaults.xml"/>
    <include resource="org/springframework/boot/logging/logback/console-appender.xml"/>
    <!--应用名称-->
    <property name="APP_NAME" value="mall-admin"/>
    <!--日志文件保存路径-->
    <property name="LOG_FILE_PATH" value="${LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/logs}"/>
    <contextName>${APP_NAME}</contextName>
    <!--每天记录日志到文件appender-->
    <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <fileNamePattern>${LOG_FILE_PATH}/${APP_NAME}-%d{yyyy-MM-dd}.log</fileNamePattern>
            <maxHistory>30</maxHistory>
        </rollingPolicy>
        <encoder>
            <pattern>${FILE_LOG_PATTERN}</pattern>
        </encoder>
    </appender>
    <!--输出到logstash的appender-->
    <appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
        <!--可以访问的logstash日志收集端口-->
        <destination>127.0.0.1:4560</destination>
        <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/>
    </appender>
    <root>
        <appender-ref ref="CONSOLE"/>
        <appender-ref ref="FILE"/>
        <appender-ref ref="LOGSTASH"/>
    </root>
</configuration>

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# Controller切面增强日志

LogAspect：通过对controller创建切面，获取REST相关参数并打印日志，使其发送至ELK

@Aspect
@Component
public class LogAspect {

    private final Logger logger = LoggerFactory.getLogger(LogAspect.class);

    @Pointcut(
            "execution(public * com.feida.facilitymanagementservice.controller..*.*(..))") // 切入点描述 这个是controller包的切入点
    public void controllerLog() {} // 签名，可以理解成这个切入点的一个名称

    @Around("controllerLog()")
    public Object doAround(ProceedingJoinPoint joinPoint) throws Throwable {
        long startTime = System.currentTimeMillis();
        // 获取当前请求对象
        ServletRequestAttributes attributes =
                (ServletRequestAttributes) RequestContextHolder.getRequestAttributes();
        HttpServletRequest request = attributes.getRequest();
        // 记录请求信息
        ReqRspLog webLog = new ReqRspLog();
        Object result = joinPoint.proceed();
        Signature signature = joinPoint.getSignature();
        MethodSignature methodSignature = (MethodSignature) signature;
        Method method = methodSignature.getMethod();

        long endTime = System.currentTimeMillis();
        String urlStr = request.getRequestURL().toString();
        webLog.setBasePath(StrUtil.removeSuffix(urlStr, URLUtil.url(urlStr).getPath()));
        webLog.setIp(request.getRemoteUser());
        webLog.setMethod(request.getMethod());
        webLog.setParameter(getParameter(method, joinPoint.getArgs()));
        webLog.setResult(result);
        webLog.setSpendTime((int) (endTime - startTime));
        webLog.setStartTime(startTime);
        webLog.setUri(request.getRequestURI());
        webLog.setUrl(request.getRequestURL().toString());
        logger.info("{}", JSONObject.toJSONString(webLog));
        return result;
    }

    /** 根据方法和传入的参数获取请求参数 */
    private Object getParameter(Method method, Object[] args) {
        List<Object> argList = new ArrayList<>();
        Parameter[] parameters = method.getParameters();
        for (int i = 0; i < parameters.length; i++) {
            // 将RequestBody注解修饰的参数作为请求参数
            RequestBody requestBody = parameters[i].getAnnotation(RequestBody.class);
            if (requestBody != null) {
                argList.add(args[i]);
            }
            // 将RequestParam注解修饰的参数作为请求参数
            RequestParam requestParam = parameters[i].getAnnotation(RequestParam.class);
            if (requestParam != null) {
                Map<String, Object> map = new HashMap<>();
                String key = parameters[i].getName();
                if (!StringUtils.isEmpty(requestParam.value())) {
                    key = requestParam.value();
                }
                map.put(key, args[i]);
                argList.add(map);
            }
        }
        if (argList.size() == 0) {
            return null;
        } else if (argList.size() == 1) {
            return argList.get(0);
        } else {
            return argList;
        }
    }
}

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ReqRspLog

package com.feida.facilitymanagementservice.config;

import lombok.Data;

@Data
public class ReqRspLog {
    /**
     * 操作描述
     */
    private String description;

    /**
     * 操作用户
     */
    private String username;

    /**
     * 操作时间
     */
    private Long startTime;

    /**
     * 消耗时间
     */
    private Integer spendTime;

    /**
     * 根路径
     */
    private String basePath;

    /**
     * URI
     */
    private String uri;

    /**
     * URL
     */
    private String url;

    /**
     * 请求类型
     */
    private String method;

    /**
     * IP地址
     */
    private String ip;

    /**
     * 请求参数
     */
    private Object parameter;

    /**
     * 请求返回的结果
     */
    private Object result;

    //省略了getter,setter方法
}

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# 2. Docker部署ELK

# ELK及docker配置文件

创建相关文件

mkdir -p /root/docker
cd /root/docker
mkdir elk_stanrd
cd elk_stanrd
mkdir logstash
cd logstash
vim logstash.conf

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logstash.conf

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
  }
}

output {
  elasticsearch {
    hosts => "es:9200"
    index => "logstash-service-%{+YYYY.MM.dd}"
  }
}

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cd ../
vim docker-compose.yml

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docker-compose.yml：注意路径需要与创建的一致，windows采用类似/D/Download/env/docker/elk/logstash/logstash.conf的配置格式

version: '3'
services:
  elasticsearch:
    image: elasticsearch:6.4.0
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch" #设置集群名称为elasticsearch
      - "discovery.type=single-node" #以单一节点模式启动
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m" #设置使用jvm内存大小
    volumes:
      - /root/docker/elk_stanrd/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /root/docker/elk_stanrd/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
    ports:
      - 9200:9200
      - 9300:9300
  kibana:
    image: kibana:6.4.0
    container_name: kibana
    links:
      - elasticsearch:es #可以用es这个域名访问elasticsearch服务
    depends_on:
      - elasticsearch #kibana在elasticsearch启动之后再启动
    environment:
      - "elasticsearch.hosts=http://es:9200" #设置访问elasticsearch的地址
    ports:
      - 5601:5601
  logstash:
    image: logstash:6.4.0
    container_name: logstash
    volumes:
      - /root/docker/elk_stanrd/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf #挂载logstash的配置文件
    depends_on:
      - elasticsearch #kibana在elasticsearch启动之后再启动
    links:
      - elasticsearch:es #可以用es这个域名访问elasticsearch服务
    ports:
      - 4560:4560

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# 启动ELK

docker-compose up -d

# 访问ELK

http://localhost:5601/

在这里插入图片描述

# 参考

*SpringBoot整合ELK (opens new window)

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