Springboot全文链路id,并ELK搭建部署整合全文链路id

1.docker-compose.yaml部署

version: '3'
services:elasticsearch:image: elasticsearch:7.13.2container_name: elasticsearchenvironment:- "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/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载- /mydata/elk/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载ports:- 9200:9200- 9300:9300kibana:image: kibana:7.13.2container_name: kibanalinks:- 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:- 5601:5601logstash:image: logstash:7.13.2container_name: logstashvolumes:- /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

创建目录 mkdir /mydata/elk/logstash

进入 cd /mydata/elk/logstash

创造文件,可以创建多个索引。

logstash-springboot.conf

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

为es设置权限

chmod 777 /mydata/elk/elasticsearch

启动

docker-compose up -d

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

访问地址：http://192.168.3.101:5601

SpringBoot应用集成Logstash

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>

并且设置拦截器,定义唯一得请求id

package com.hjt.filter;import lombok.extern.slf4j.Slf4j;
import org.slf4j.MDC;
import org.springframework.stereotype.Component;
import org.springframework.web.filter.OncePerRequestFilter;import javax.servlet.FilterChain;
import javax.servlet.ServletException;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.util.UUID;@Component
@Slf4j
public class TraceFilter extends OncePerRequestFilter {@Overrideprotected void doFilterInternal(HttpServletRequest httpServletRequest, HttpServletResponse httpServletResponse, FilterChain filterChain) throws ServletException, IOException {// "traceId" 正常来说这个应该是前端传给后端得 这个只是作为后端demo得演示String requestNo = httpServletRequest.getHeader("request_no");log.info("-----输出：requesetNo,{}",requestNo);System.out.println("输出："+requestNo);MDC.put("traceid", getTraceId());filterChain.doFilter(httpServletRequest, httpServletResponse);}private String getTraceId() {long timestamp = System.currentTimeMillis();UUID uuid = UUID.randomUUID();String uniqueId = timestamp + uuid.toString().replace("-", "");return uniqueId;}
}

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，比如我的是：192.168.3.101:4560 。

<?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="demo-spring-boot-elk"/><!--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>${APP_NAME}</contextName><!-- 日志最大的历史 30天 --><property name="maxHistory" value="30" /><property name="maxFileSize" value="100MB" /><!-- ConsoleAppender 控制台输出日志 --><appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender"><filter class="ch.qos.logback.classic.filter.ThresholdFilter"><!-- Minimum logging level to be presented in the console logs --><level>INFO</level></filter><!-- 对日志进行格式化 --><encoder><pattern>%date{yyyy-MM-dd HH:mm:ss} | %X{traceid} | %highlight(%5p) | %green(%thread) | %boldMagenta(%logger) | %msg%n</pattern></encoder></appender><!-- INFO级别日志 --><!-- 滚动记录文件，先将日志记录到指定文件，当符合某个条件时，将日志记录到其他文件 RollingFileAppender --><appender name="FILE"class="ch.qos.logback.core.rolling.RollingFileAppender"><filter class="ch.qos.logback.classic.filter.ThresholdFilter"><!-- Minimum logging level to be presented in the console logs --><level>INFO</level></filter><!-- 最常用的滚动策略，它根据时间来制定滚动策略.既负责滚动也负责出发滚动 --><rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy"><!--日志输出位置 可相对、和绝对路径 --><fileNamePattern>log/app.%d{yyyy-MM-dd}.%i.log</fileNamePattern><!-- 可选节点，控制保留的归档文件的最大数量，超出数量就删除旧文件假设设置每个月滚动，且<maxHistory>是6， 则只保存最近6个月的文件，删除之前的旧文件。注意，删除旧文件是，那些为了归档而创建的目录也会被删除 --><maxHistory>${maxHistory}</maxHistory><timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP"><maxFileSize>${maxFileSize}</maxFileSize></timeBasedFileNamingAndTriggeringPolicy></rollingPolicy><!-- 按照固定窗口模式生成日志文件，当文件大于20MB时，生成新的日志文件。窗口大小是1到3，当保存了3个归档文件后，将覆盖最早的日志。<rollingPolicy class="ch.qos.logback.core.rolling.FixedWindowRollingPolicy"><fileNamePattern>${log_dir}/%d{yyyy-MM-dd}/.log.zip</fileNamePattern> <minIndex>1</minIndex><maxIndex>3</maxIndex> </rollingPolicy> --><!-- 查看当前活动文件的大小，如果超过指定大小会告知RollingFileAppender 触发当前活动文件滚动 <triggeringPolicyclass="ch.qos.logback.core.rolling.SizeBasedTriggeringPolicy"> <maxFileSize>5MB</maxFileSize></triggeringPolicy> --><encoder><pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger - %msg%n</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>hjt-code:4560</destination><encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/></appender><logger name="java.sql.PreparedStatement" value="DEBUG" /><logger name="java.sql.Connection" value="DEBUG" /><logger name="java.sql.Statement" value="DEBUG" /><logger name="com.ibatis" value="DEBUG" /><logger name="com.ibatis.common.jdbc.SimpleDataSource" value="DEBUG" /><logger name="com.ibatis.common.jdbc.ScriptRunner" level="DEBUG" /><logger name="com.ibatis.sqlmap.engine.impl.SqlMapClientDelegate"value="DEBUG" /><logger name="com.apache.ibatis" level="TRACE" /><root level="INFO"><appender-ref ref="STDOUT"/><appender-ref ref="LOGSTASH"/><appender-ref ref="FILE"/></root>
</configuration>

常见的日志级别

运行Springboot应用

kibana中配置

回头看看我们索引的配置

注意，APP_NAME要和logstash.conf配置的索引名称一致。

创建成功

2.Kibana设置中文

进入容器

docker exec -it kibana /bin/bash

进入config目录，修改kibana.yml配置

增加配置文件

i18n.locale: "zh-CN"

保存退出，并重启容器。

3.多服务处理模式：

如果存在多个服务同时往同一个logstash中存放日志信息，可以采用两种方式进行实现

在同一个logstash-logs.conf文件中，配置多个input及output，比如：

input {tcp {mode => "server"host => "0.0.0.0"port => 4560codec => json_lines}}
output {elasticsearch {hosts => "es:9200"index => "demo-spring-book-elk-%{+YYYY.MM.dd}"}
}input {tcp {mode => "server"host => "0.0.0.0"port => 4561codec => json_lines}}
output {elasticsearch {hosts => "es:9200"index => "demo-gateway-%{+YYYY.MM.dd}"}
}

代码地址

https://github.com/hongjiatao/spring-boot-anyDemo