1.安装docker-composer
2.创建docker-compose.yml文件
version: '3.8'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.15.1
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:
- /usr/local/docker/dockercompose/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件目录
- /usr/local/docker/dockercompose/elasticsearch/data:/usr/share/elasticsearch/data
ports:
- 9200:9200
- 9300:9300
kibana:
image: kibana:7.14.2
container_name: kibana
volumes:
- /usr/local/docker/dockercompose/kibana/kibana.yml:/usr/share/kibana/config/kibana.yml#挂载配置文件,系统文件:容器内文件
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:7.14.2
container_name: logstash
volumes:
- /usr/local/docker/dockercompose/logstash/logstash.conf:/usr/share/logstash/config/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
3.启动Docker-Compose
在docker-compose.yml同目录下执行
docker-compose up -d
![](https://img.haomeiwen.com/i9410089/25400b55521fb9ca.png)
4 查看
docker ps
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