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SpringBoot应用整合并使用Docker安装ELK实现日志收集


前言

ELK即Elasticsearch、Logstash、Kibana,组合起来可以搭建线上日志系统,本文主要讲解使用ELK来收集SpringBoot应用产生的日志。

ELK中各个服务的作用

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。

1.根据SpringBoot版本查看对应的ES、LogStash、Kibana版本

(1) SpringBoot使用 spring-boot-dependencies方式 依赖es

    <!-- springboot版本-->     <dependency>  <groupId>org.springframework.boot</groupId>  <artifactId>spring-boot-starter-data-elasticsearch</artifactId>  <version>${spring-boot.version}</version>     </dependency>

(2)SpringBoot使用 spring-boot-starter-parent 方式 依赖es

    <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId>    </dependency>

(3) 刷新maven后可以看到当前项目对应的SpringBoot版本
在这里插入图片描述

2.使用Docker Compose 搭建ELK环境

(1) 根据项目依赖的版本pull对应的版本,注意 ELK版本必须完全一致

docker pull elasticsearch:7.12.1docker pull logstash:7.12.1docker pull kibana:7.12.1

(2) 创建一个存放logstash配置的目录并上传配置文件

创建配置文件存放目录

mkdir /mydata/elk/logstashmkdir /mydata/elk/esmkdir /mydata/elk/kibanacd /mydata/elk/logstashvim logstash-springboot.conf

logstash-springboot.conf文件内容

input {  tcp {    mode => "server"    host => "0.0.0.0"    port => 4560    codec => json_lines    type => "debug"  }  tcp {    mode => "server"    host => "0.0.0.0"    port => 4561    codec => json_lines    type => "error"  }  tcp {    mode => "server"    host => "0.0.0.0"    port => 4562    codec => json_lines    type => "business"  }  tcp {    mode => "server"    host => "0.0.0.0"    port => 4563    codec => json_lines    type => "record"  }}filter{  if [type] == "record" {    mutate {      remove_field => "port"      remove_field => "host"      remove_field => "@version"    }    json {      source => "message"      remove_field => ["message"]    }  }}output {  elasticsearch {    hosts => "es:9200"    index => "soboot-%{type}-%{+YYYY.MM.dd}"  }}

(3)使用docker-compose.yml脚本启动ELK服务

cd /mydata/elkvim docker-compose.yml

docker-compose.yml内容

version: '3'services:  elasticsearch:    image: elasticsearch:7.12.1    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/elk/es/plugins:/usr/share/elasticsearch/plugins #插件文件挂载      - /mydata/elk/es/data:/usr/share/elasticsearch/data #数据文件挂载    ports:      - 9200:9200      - 9300:9300  kibana:    image: kibana:7.12.1    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:7.12.1    container_name: logstash    volumes:      - /mydata/elk/logstash/logstash-springboot.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      - 4561:4561      - 4562:4562      - 4563:4563

(4) 执行docker-compose命令运行elk

docker-compose up -d

注意:Elasticsearch启动可能需要好几分钟,要耐心等待。
SpringBoot应用整合并使用Docker安装ELK实现日志收集
(5)启动完成后 在logstash中安装json_lines插件

# 进入logstash容器docker exec -it logstash /bin/bash# 进入bin目录cd /bin/# 安装插件logstash-plugin install logstash-codec-json_lines# 退出容器exit# 重启logstash服务docker restart logstash

(6) 访问kibana

注意:关闭防火墙或配置安全组

访问地址:http://服务器IP:5601

在这里插入图片描述

3.SpringBoot应用集成ELK

(1) 在pom.xml中添加logstash-logback-encoder依赖

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

(2) 添加配置文件logback-spring.xml让logback的日志输出到logstash

注意appender节点下的destination需要改成你自己的logstash服务地址,比如:10.12.13.14:4560

logback-spring.xml 内容

<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE configuration><configuration>    <!--引用默认日志配置-->    <include resource="org/springframework/boot/logging/logback/defaults.xml"/>    <!--使用默认的控制台日志输出实现-->    <include resource="org/springframework/boot/logging/logback/console-appender.xml"/>    <!--应用名称-->    <springProperty scope="context" name="APP_NAME" source="spring.application.name" defaultValue="springBoot"/>    <!--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}"/>-->    <!--LogStash访问host-->    <springProperty name="LOG_STASH_HOST" scope="context" source="logstash.host" defaultValue="10.12.13.14"/>    <!--DEBUG日志输出到文件-->    <appender name="FILE_DEBUG"class="ch.qos.logback.core.rolling.RollingFileAppender"> <!--输出DEBUG以上级别日志--> <filter class="ch.qos.logback.classic.filter.ThresholdFilter">     <level>DEBUG</level> </filter> <encoder>     <!--设置为默认的文件日志格式-->     <pattern>${FILE_LOG_PATTERN}</pattern>     <charset>UTF-8</charset> </encoder> <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">     <!--设置文件命名格式-->     <fileNamePattern>${LOG_FILE_PATH}/debug/${APP_NAME}-%d{yyyy-MM-dd}-%i.log</fileNamePattern>     <!--设置日志文件大小,超过就重新生成文件,默认10M-->     <maxFileSize>${LOG_FILE_MAX_SIZE:-10MB}</maxFileSize>     <!--日志文件保留天数,默认30-->     <maxHistory>${LOG_FILE_MAX_HISTORY:-30}</maxHistory> </rollingPolicy>    </appender>    <!--ERROR日志输出到文件-->    <appender name="FILE_ERROR"class="ch.qos.logback.core.rolling.RollingFileAppender"> <!--只输出ERROR级别的日志--> <filter class="ch.qos.logback.classic.filter.LevelFilter">     <level>ERROR</level>     <onMatch>ACCEPT</onMatch>     <onMismatch>DENY</onMismatch> </filter> <encoder>     <!--设置为默认的文件日志格式-->     <pattern>${FILE_LOG_PATTERN}</pattern>     <charset>UTF-8</charset> </encoder> <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">     <!--设置文件命名格式-->     <fileNamePattern>${LOG_FILE_PATH}/error/${APP_NAME}-%d{yyyy-MM-dd}-%i.log</fileNamePattern>     <!--设置日志文件大小,超过就重新生成文件,默认10M-->     <maxFileSize>${LOG_FILE_MAX_SIZE:-10MB}</maxFileSize>     <!--日志文件保留天数,默认30-->     <maxHistory>${LOG_FILE_MAX_HISTORY:-30}</maxHistory> </rollingPolicy>    </appender>    <!-- 控制台异步实时输出 -->    <appender name="ASYNC_CONSOLE_APPENDER" class="ch.qos.logback.classic.AsyncAppender"> <!-- 不丢失日志.默认的,如果队列的80%已满,则会丢弃TRACT、DEBUG、INFO级别的日志 --> <discardingThreshold>0</discardingThreshold> <!-- 更改默认的队列的深度,该值会影响性能.默认值为256 --> <queueSize>256</queueSize> <!-- 添加附加的appender,最多只能添加一个 --> <appender-ref ref="FILE_DEBUG"/>    </appender>    <!--DEBUG日志输出到LogStash-->    <appender name="LOG_STASH_DEBUG" class="net.logstash.logback.appender.LogstashTcpSocketAppender"> <filter class="ch.qos.logback.classic.filter.ThresholdFilter">     <level>DEBUG</level> </filter> <destination>${LOG_STASH_HOST}:4560</destination> <encoder charset="UTF-8" class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">     <providers>  <timestamp>      <timeZone>Asia/Shanghai</timeZone>  </timestamp>  <!--自定义日志输出格式-->  <pattern>      <pattern>   {   "project": "soboot",   "level": "%level",   "service": "${APP_NAME:-}",   "pid": "${PID:-}",   "thread": "%thread",   "class": "%logger",   "message": "%message",   "stack_trace": "%exception{20}"   }      </pattern>  </pattern>     </providers> </encoder>    </appender>    <!--ERROR日志输出到LogStash-->    <appender name="LOG_STASH_ERROR" class="net.logstash.logback.appender.LogstashTcpSocketAppender"> <filter class="ch.qos.logback.classic.filter.LevelFilter">     <level>ERROR</level>     <onMatch>ACCEPT</onMatch>     <onMismatch>DENY</onMismatch> </filter> <destination>${LOG_STASH_HOST}:4561</destination> <encoder charset="UTF-8" class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">     <providers>  <timestamp>      <timeZone>Asia/Shanghai</timeZone>  </timestamp>  <!--自定义日志输出格式-->  <pattern>      <pattern>   {   "project": "soboot",   "level": "%level",   "service": "${APP_NAME:-}",   "pid": "${PID:-}",   "thread": "%thread",   "class": "%logger",   "message": "%message",   "stack_trace": "%exception{20}"   }      </pattern>  </pattern>     </providers> </encoder>    </appender>    <!--业务日志输出到LogStash-->    <appender name="LOG_STASH_BUSINESS" class="net.logstash.logback.appender.LogstashTcpSocketAppender"> <destination>${LOG_STASH_HOST}:4562</destination> <encoder charset="UTF-8" class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">     <providers>  <timestamp>      <timeZone>Asia/Shanghai</timeZone>  </timestamp>  <!--自定义日志输出格式-->  <pattern>      <pattern>   {   "project": "soboot",   "level": "%level",   "service": "${APP_NAME:-}",   "pid": "${PID:-}",   "thread": "%thread",   "class": "%logger",   "message": "%message",   "stack_trace": "%exception{20}"   }      </pattern>  </pattern>     </providers> </encoder>    </appender>    <!--接口访问记录日志输出到LogStash-->    <appender name="LOG_STASH_RECORD" class="net.logstash.logback.appender.LogstashTcpSocketAppender"> <destination>${LOG_STASH_HOST}:4563</destination> <encoder charset="UTF-8" class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">     <providers>  <timestamp>      <timeZone>Asia/Shanghai</timeZone>  </timestamp>  <!--自定义日志输出格式-->  <pattern>      <pattern>   {   "project": "soboot",   "level": "%level",   "service": "${APP_NAME:-}",   "class": "%logger",   "message": "%message"   }      </pattern>  </pattern>     </providers> </encoder>    </appender>    <!--控制框架输出日志-->    <logger name="org.slf4j" level="INFO"/>    <logger name="springfox" level="INFO"/>    <logger name="io.swagger" level="INFO"/>    <logger name="org.springframework" level="INFO"/>    <logger name="org.hibernate.validator" level="INFO"/>    <root level="DEBUG"> <appender-ref ref="CONSOLE"/> <appender-ref ref="FILE_DEBUG"/> <appender-ref ref="FILE_ERROR"/> <appender-ref ref="LOG_STASH_RECORD"/> <appender-ref ref="LOG_STASH_DEBUG"/> <appender-ref ref="LOG_STASH_ERROR"/>    </root>    <logger name="com.soboot.common.log.aspect.WebLogAspect" level="DEBUG"> <appender-ref ref="LOG_STASH_RECORD"/>    </logger>    <logger name="com.soboot" level="DEBUG"> <appender-ref ref="LOG_STASH_BUSINESS"/>    </logger></configuration>

(3)编写统一日志处理切面

WebLog.java内容

package com.soboot.common.log.domain;import lombok.Data;import lombok.EqualsAndHashCode;/** * Controller层的日志封装类 * Created by liu on 2022/03/15. * @author liuy */@Data@EqualsAndHashCode(callSuper = false)public class WebLog {    /**     * 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;    /**     * 返回结果     */    private Object result;}

WebLogAspect.java 内容

package com.soboot.common.log.aspect;import cn.hutool.core.util.StrUtil;import cn.hutool.core.util.URLUtil;import cn.hutool.json.JSONUtil;import com.soboot.common.log.domain.WebLog;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; /** * 统一日志处理切面 * Created by liu on 2022/03/15. * @author liuy */@Aspect@Component@Order(1)public class WebLogAspect {    private static final Logger LOGGER = LoggerFactory.getLogger(WebLogAspect.class);    @Pointcut("execution(public * com.soboot.controller.*.*(..))||execution(public * com.soboot.*.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.setUsername(request.getRemoteUser()); 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<>(); 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(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; }    }}

(4) 添加es、logstash yml配置
yml配置

spring:   data:    elasticsearch:      repositories: enabled: true  elasticsearch:    rest:      # es部署的服务器IP:9200      uris: 10.12.13.14:9200logging:  level:    root: info    com.soboot: debuglogstash:  # logstash部署的服务器IP  host: 10.12.13.14

(5) 运行Springboot应用 并在查看kibana日志
SpringBoot应用整合并使用Docker安装ELK实现日志收集
创建index pattern
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分别创建这四种索引对应不同的日志级别

在这里插入图片描述
点击Next step后
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4. 查看收集日志

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故意在接口中制造错误后在error中查看
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5. 总结

搭建了ELK日志收集系统之后,我们如果要查看SpringBoot应用的日志信息,就不需要查看日志文件了,直接在Kibana中查看即可。