dockercompose_yaml_0">编写 docker-compose yaml
version: 'v3'
services:elasticsearch-node1:image: elasticsearch:7.17.24container_name: 'elasticsearch-node1'ports:- "9200:9200"- "9300:9300"environment:- node.name=elasticsearch-node1- cluster.name=my-es-cluster- discovery.seed_hosts=elasticsearch-node2,elasticsearch-node3- cluster.initial_master_nodes=elasticsearch-node1,elasticsearch-node2,elasticsearch-node3- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"ulimits:memlock:soft: -1hard: -1networks:- custom-eselasticsearch-node2:image: elasticsearch:7.17.24container_name: elasticsearch-node2ports:- "9201:9200"- "9301:9300"environment:- node.name=elasticsearch-node2- cluster.name=my-es-cluster- discovery.seed_hosts=elasticsearch-node1,elasticsearch-node3- cluster.initial_master_nodes=elasticsearch-node1,elasticsearch-node2,elasticsearch-node3- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"ulimits:memlock:soft: -1hard: -1networks:- custom-eselasticsearch-node3:image: elasticsearch:7.17.24container_name: elasticsearch-node3ports:- "9202:9200"- "9302:9300"environment:- node.name=elasticsearch-node3- cluster.name=my-es-cluster- discovery.seed_hosts=elasticsearch-node1,elasticsearch-node2- cluster.initial_master_nodes=elasticsearch-node1,elasticsearch-node2,elasticsearch-node3- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"ulimits:memlock:soft: -1hard: -1networks:- custom-esmy-es-cluster-kibana:container_name: my-es-cluster-kibanaimage: kibana:7.17.24ports:- "5601:5601"environment:- ELASTICSEARCH_HOSTS=http://elasticsearch-node1:9200networks:- custom-esdepends_on:- elasticsearch-node1- elasticsearch-node2- elasticsearch-node3
networks:custom-es:driver: bridge
编写 docker-compose 然后在命令行启动这个 docker-compose
dockercompose_79">启动 docker-compose
docker-compose -f docker-compose.yml -d up
这个命令可以在后台启动一个compose，里面包含 es3个节点的集群+kibana
然后在 chrome 中查询当前的集群信息
分别是
# 查询节点信息
curl http://127.0.0.1:9200/_cat/nodes
# 访问 kibana
curl http://127.0.0.1:5601
当我们输入以后可以看到这样的街面就可以正常使用 es 和 kibana 了
