SpringBoot项目ELK搭建（基于Docker，DockerCompose， Centos7）

logstash配置

elasticsearch配置

Docker Compose安装

SpringBoot集成logstash

ELK个服务的作用

Elasticsearch:用于存储收集到的日志信息；

Logstash:用于收集日志，SpringBoot应用整合了Logstash以后会把日志发送给Logstash,Logstash再把日志转发给Elasticsearch；

Kibana:通过Web端的可视化界面来查看日志。

下载镜像

docker pull elasticsearch:6.4.0
docker pull logstash:6.4.0
docker pull kibana:6.4.0

logstash配置

mkdir /mydata/logstash

在该目录下创建logstash.conf配置文件，内容如下

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
  }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "springboot-logstash-%{+YYYY.MM.dd}"
  }
}

elasticsearch配置

需要设置系统内核参数，否则会因为内存不足无法启动

# 改变设置
sysctl -w vm.max_map_count=262144
# 使之立即生效
sysctl -p

需要创建 /mydata/elasticsearch/data 目录并设置权限，否则会因为无权限访问而启动失败。

# 创建目录
mkdir /mydata/elasticsearch/data/
# 创建并改变该目录权限
chmod 777 /mydata/elasticsearch/data

Docker Compose安装

下载Dokcer Compose

curl -L https://get.daocloud.io/docker/compose/releases/download/1.24.0/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose

修改改文件的权限为可执行

chmod +x /usr/local/bin/docker-compose

查看是否已经安装成功

docker-compose --version

使用docker-compose.yml启动ELK服务（首先创建该文件，文件放在哪都行，运行时下面 #加注释要删除）

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:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /mydata/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:
      - /mydata/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

到docker-compose.yml目录下执行

docker-compose -f docker-compose.yml up -d

开启端口防火墙的访问，这里只写了5601端口，还有9200，9300，4560端口

firewall-cmd --zone=public --add-port=5601/tcp --permanent
firewall-cmd --reload

SpringBoot集成logstash

在pom中添加依赖

<!--集成logstash-->
<dependency>
    <groupId>net.logstash.logback</groupId>
    <artifactId>logstash-logback-encoder</artifactId>
    <version>5.3</version>
</dependency>

在resources下添加logback-spring.xml，让logback的日志输出到logstash，内容如下:

<?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>localhost:4560</destination>
        <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/>
    </appender>
    <root level="INFO">
        <appender-ref ref="CONSOLE"/>
        <appender-ref ref="FILE"/>
        <appender-ref ref="LOGSTASH"/>
    </root>
</configuration>

编写切面日志收集类

package com.histor.demo.component;

import cn.hutool.core.util.StrUtil;
import cn.hutool.core.util.URLUtil;
import cn.hutool.json.JSONUtil;
import io.swagger.annotations.ApiOperation;
import net.logstash.logback.marker.Markers;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.Signature;
import org.aspectj.lang.annotation.*;
import org.aspectj.lang.reflect.MethodSignature;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.core.annotation.Order;
import org.springframework.stereotype.Component;
import org.springframework.util.StringUtils;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;

import javax.servlet.http.HttpServletRequest;
import java.lang.reflect.Method;
import java.lang.reflect.Parameter;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

/**
 * @Desc: 切面日志收集类
 */



@Aspect
@Component
@Order(2)
public class WebLogAspect {
    private static final Logger LOGGER = LoggerFactory.getLogger(WebLogAspect.class);

    @Pointcut("execution(public * com.histor.demo.controller.*.*(..))")
    public void webLog() {
    }

    @Before("webLog()")
    public void doBefore(JoinPoint joinPoint) throws Throwable {
    }

    @AfterReturning(value = "webLog()", returning = "ret")
    public void doAfterReturning(Object ret) throws Throwable {
    }

    @Around("webLog()")
    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(通过Logstash传入Elasticsearch)
        WebLog webLog = new WebLog();
        Object result = joinPoint.proceed();
        Signature signature = joinPoint.getSignature();
        MethodSignature methodSignature = (MethodSignature) signature;
        Method method = methodSignature.getMethod();
        if (method.isAnnotationPresent(ApiOperation.class)) {
            ApiOperation log = method.getAnnotation(ApiOperation.class);
            webLog.setDescription(log.value());
        }
        long endTime = System.currentTimeMillis();
        String urlStr = request.getRequestURL().toString();
        webLog.setBasePath(StrUtil.removeSuffix(urlStr, URLUtil.url(urlStr).getPath()));
        webLog.setIp(request.getRemoteAddr());
        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());
        Map<String,Object> logMap = new HashMap<>(5);
        logMap.put("url",webLog.getUrl());
        logMap.put("method",webLog.getMethod());
        logMap.put("parameter",webLog.getParameter());
        logMap.put("spendTime",webLog.getSpendTime());
        logMap.put("description",webLog.getDescription());
        //LOGGER.info("{}", JSONUtil.parse(webLog));
        LOGGER.info(Markers.appendEntries(logMap), JSONUtil.parse(webLog).toString());
        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;
        }
    }

}

启动应用访问ip+5601端口

SpringBoot项目ELK搭建（基于Docker，DockerCompose， Centos7）

这里是springboot项目使用DockerCompose启动的配置文件

version: '3'
services:
  mysql:
    image: mysql:5.7
    container_name: mysql
    command: mysqld --character-set-server=utf8 --collation-server=utf8_general_ci
    restart: always
    environment:
      MYSQL_ROOT_PASSWORD: 123456
    ports:
      - 3306:3306
    volumes:
      - /mydata/mysql/data:/var/lib/mysql
      - /mydata/mysql/conf:/etc/mysql/conf.d
      - /mydata/mysql/log:/var/log/mysql
  redis:
    image: redis:5
    container_name: redis
    command: redis-server --appendonly yes
    volumes:
      - /mydata/redis/data:/data
    ports:
      - 6379:6379
  rabbitmq:
    image: rabbitmq:3.7.15
    container_name: rabbitmq
    volumes:
      - /mydata/rabbitmq/data:/var/lib/rabbitmq
      - /mydata/rabbitmq/log:/var/log/rabbitmq
    ports:
      - 5672:5672
      - 15672:15672
  elasticsearch:
    image: elasticsearch:6.4.0
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch"
      - "discovery.type=single-node"
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
      - 9300:9300
  kibana:
    image: kibana:6.4.0
    container_name: kibana
    links:
      - elasticsearch:es
    depends_on:
      - elasticsearch
    environment:
      - "elasticsearch.hosts=http://es:9200"
    ports:
      - 5601:5601
  logstash:
    image: logstash:6.4.0
    container_name: logstash
    volumes:
      - /mydata/logstash/logstash-springboot.conf:/usr/share/logstash/pipeline/logstash.conf
    depends_on:
      - elasticsearch
    links:
      - elasticsearch:es
    ports:
      - 4560:4560
  mongo:
    image: mongo:4.2.5
    container_name: mongo
    volumes:
      - /mydata/mongo/db:/data/db
    ports:
      - 27017:27017

SpringBoot项目ELK搭建（基于Docker，DockerCompose， Centos7）

logstash配置

elasticsearch配置

Docker Compose安装

SpringBoot集成logstash

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