# 拉取镜像
docker pull mysql:5.7
# 启动镜像
docker run -p 3306:3306 --name mysql -v /data/mysql/log:/var/log/mysql -v /data/mysql/data:/var/lib/mysql -v /data/mysql/conf:/etc/mysql -e MYSQL_ROOT_PASSWORD=123456 -d mysql:5.7# 配置MySQL
vim /data/mysql/conf/my.cnf[client]
default-character-set=utf8
[mysql]
default-character-set=utf8
[mysqld]
init_connect='SET collation_connection = utf8_unicode_ci'
init_connect='SET NAMES utf8'
character-set-server=utf8
collation-server=utf8_unicode_ci
skip-character-set-client-handshake
skip-name-resolve
# 重启MySQL
docker restart mysql# 建表
DROP TABLE IF EXISTS `sys_log`;
CREATE TABLE `sys_log`  (`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '日志主键',`title` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '' COMMENT '模块标题',`business_type` int(2) NULL DEFAULT 0 COMMENT '业务类型（0其它 1新增 2修改 3删除）',`method` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '' COMMENT '方法名称',`request_method` varchar(10) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '' COMMENT '请求方式',`oper_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '' COMMENT '操作人员',`oper_url` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '' COMMENT '请求URL',`oper_ip` varchar(128) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '' COMMENT '主机地址',`oper_time` datetime(0) NULL DEFAULT NULL COMMENT '操作时间',PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1585197503834284034 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '操作日志记录' ROW_FORMAT = Dynamic;SET FOREIGN_KEY_CHECKS = 1;# ELK搭建准备
# elasticsearch挂载
mkdir -p /data/elk/elasticsearch/{config,plugins,data,logs}
# 赋权
chmod 777 /data/elk/elasticsearch/{config,plugins,data,logs}# kibana挂载
mkdir -p /data/elk/kibana/config# logstash挂载
mkdir -p /data/elk/logstash/config
# 赋权
chmod 777 /data/elk/logstash/config# 配置elasticsearch
vim /data/elk/elasticsearch/config/elasticsearch.ymlhttp.host: 0.0.0.0
xpack.security.enabled: false# 配置kibana
vim /data/elk/kibana/config/kibana.ymlserver.host: 0.0.0.0
elasticsearch.hosts: [ "http://192.168.5.11:9200" ]# 配置logstash
vim /data/elk/logstash/config/logstash.ymlhttp.host: 0.0.0.0
xpack.monitoring.elasticsearch.hosts: [ "http://192.168.5.11:9200" ]# 创建日志文件
touch /data/elk/logstash/config/log
chmod 777 /data/elk/logstash/config/log# 自行下载mysql-connector-java-8.0.28.jar 放到/data/elk/logstash/config/
# 配置logstash文件
vim /data/elk/logstash/config/logstash.conf
input {stdin {}jdbc {jdbc_connection_string => "jdbc:mysql://192.168.5.11:3306/test?useUnicode=true&characterEncoding=utf8&serverTimezone=UTC"jdbc_user => "root"jdbc_password => "123456"jdbc_driver_library => "/usr/share/logstash/config/mysql-connector-java-8.0.28.jar"jdbc_driver_class => "com.mysql.jdbc.Driver"jdbc_paging_enabled => "true"jdbc_page_size => "300000"statement => "SELECT id, title, business_type, method, request_method, oper_name, oper_url, oper_ip, oper_time FROM sys_log"schedule => "*/1 * * * *"use_column_value => falsetracking_column_type => "timestamp"tracking_column => "oper_time"record_last_run => truejdbc_default_timezone => "Asia/Shanghai"last_run_metadata_path => "/usr/share/logstash/config/log"}
}output {elasticsearch {hosts => ["192.168.5.11:9200"]index => "sys_log"document_id => "%{id}"}stdout {codec => json_lines}
}# 配置流水线
vim /data/elk/logstash/config/pipelines.yml- pipeline.id: sys_logpath.config: "/usr/share/logstash/config/logstash.conf"# 编辑dockerCompose一键搭建
vim docker-compose.ymlversion: '3'
services:elasticsearch:image: elasticsearch:7.17.7container_name: elasticsearchports:- "9200:9200"- "9300:9300"environment:- cluster.name=elasticsearch- discovery.type=single-node- "ES_JAVA_OPTS=-Xms64m -Xmx512m"volumes:- /data/elk/elasticsearch/plugins:/usr/share/elasticsearch/plugins- /data/elk/elasticsearch/data:/usr/share/elasticsearch/data- /data/elk/elasticsearch/logs:/usr/share/elasticsearch/logskibana:image: kibana:7.17.7container_name: kibanaports:- "5601:5601"depends_on:- elasticsearchenvironment:I18N_LOCALE: zh-CNvolumes:- /data/elk/kibana/config/kibana.yml:/usr/share/kibana/config/kibana.ymllogstash:image: logstash:7.17.7container_name: logstashports:- "5044:5044"volumes:- /data/elk/logstash/config:/usr/share/logstash/configdepends_on:- elasticsearch# docker-compose.yml文件下执行	  
docker-compose up -d  # 测试访问Kibana
http://192.168.5.11:5601/app/home#/# 安装完之后，单个启动使用
# 启动elasticsearch
docker run --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx512m" -v /data/elk/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v /data/elk/elasticsearch/data:/usr/share/elasticsearch/data -v  /data/elk/elasticsearch/plugins:/usr/share/elasticsearch/plugins -d elasticsearch:7.17.7
# 启动kibana
docker run --name kibana -e ELASTICSEARCH_HOSTS=http://192.168.5.11:9200 -p 5601:5601 -d kibana:7.17.7
# 启动logstash
docker run --name logstash -p 5044:5044 -v /data/elk/logstash/config:/usr/share/logstash/config -d logstash:7.17.7

在Kibana上创建索引，然后再数据库的sys_log表中添加测试数据。将会自动同步到ES中去

# 创建与数据库表一样的索引结构
PUT /sys_log
{"settings": {"number_of_shards": 1,"number_of_replicas": 0,"index": {"max_result_window": 100000000}},"mappings": {"dynamic": "strict","properties": {"@timestamp": {"type": "date"},"@version": {"type": "text","fields": {"keyword": {"type": "keyword","ignore_above": 256}}},"business_type": {"type": "integer"},"title": {"type": "text"},"method": {"type": "text"},"request_method": {"type": "text"},"oper_name": {"type": "text"},"oper_url": {"type": "text"},"oper_ip": {"type": "text"},"oper_time": {"type": "date"},"id": {"type": "long"}}}
}# 查询索引
GET /sys_log/_search
{"query": {"match_all": {}}
}