Docker安装部署ELK 整合Springboot实现日志收集
下载docker镜像
docker pull elasticsearch:7.6.2
docker pull logstash:7.6.2
docker pull kibana:7.6.2
创建好挂载配置文件的目录
mkdir /root/data/elk && cd /root/data/elk
mkdir elasticsearch
mkdir logstash
创建文件logstash-springboot.conf上传到挂载目录logstash中
logstash-springboot.conf文件内容
input {
tcp {
mode => "server"
host => "0.0.0.0"
port => "4560"
codec => json_lines
}
}
output {
#stdout {
# codec => rubydebug
#}
elasticsearch {
hosts => ["es:9200"]
index => "springboot-logstash-%{[appname]}-%{+YYYY.MM.dd}"
#user => "elastic"
#password => "changeme"
}
}
使用docker-compose.yml脚本启动ELK服务
docker-compose.yml文件内容
version: '3'
services:
elasticsearch:
image: elasticsearch:7.6.2
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/data/elk/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
- /root/data/elk/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
# - F:\dev\elk\elasticsearch\x-pack-6.2.4.zip:/usr/share/elasticsearch/templ/x-pack-6.2.4.zip
ports:
- 9200:9200
kibana:
image: kibana:7.6.2
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://localhost:9200" #设置访问elasticsearch的地址
ports:
- 5601:5601
logstash:
image: logstash:7.6.2
container_name: logstash
volumes:
- /root/data/elk/logstash/logstash-springboot.conf:/usr/share/logstash/pipeline/logstash.conf #挂载logstash的配置文件
- /root/data/elk/logstash/logstash.yml:/usr/share/logstash/config/logstash.yml
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
上传到服务器临时目录然后进入该目录运行
docker-compose up -d
运行成功后需要安装插件
安装Elasticsearch中文分词 (可选)
需要安装中文分词器IKAnalyzer,并重新启动。
docker exec -it elasticsearch /bin/bash
#此命令需要在容器中运行
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.6.2/elasticsearch-analysis-ik-7.6.2.zip
docker restart elasticsearch
安装logstash中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
到此为止ELK已经安装部署成功了,接下来就是与Springboot整合
项目中添加logstash依赖
<!--集成logstash-->
<dependency>
<groupId>net.logstash.logback</groupId>
<artifactId>logstash-logback-encoder</artifactId>
<version>5.3</version>
</dependency>
注意:这里版本号要是5.3,我测试过4.8,没有报任何错!但是logstash无法转发到elasticsearch,真是让人龟头大。
在resources目录下创建logback-spring.xml
logback-spring.xml文件内容
<?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="yzcrm-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">
<destination>localhost:4560</destination>
<encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder" >
<customFields>{"appname": "admin"}</customFields>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="CONSOLE"/>
<appender-ref ref="FILE"/>
<appender-ref ref="LOGSTASH"/>
</root>
</configuration>
配置没问题的话,直接可以运行你的项目了!
访问kibana查看日志
localhost:5601