場景
在本機中使用docker-compose.yml的配置文件方式運行Elasticsearch。方便本地使用Elasticsearch來開發。
步驟
這裏假設本機已經安裝好了,docker環境。並且對docker-compose中的yml配置文件語法有一定的瞭解。
docker-compose.yml
version: '2.2'
services:
cerebro:
image: lmenezes/cerebro:0.8.5
container_name: cerebro
ports:
- "9000:9000"
command:
- -Dhosts.0.host=http://es01:9200
networks:
- elastic
es01:
image: docker.elastic.co/elasticsearch/elasticsearch:7.6.1
container_name: es01
environment:
- node.name=es01
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es02,es03
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data01:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- elastic
es02:
image: docker.elastic.co/elasticsearch/elasticsearch:7.6.1
container_name: es02
environment:
- node.name=es02
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es01,es03
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data02:/usr/share/elasticsearch/data
ports:
- 9201:9201
networks:
- elastic
es03:
image: docker.elastic.co/elasticsearch/elasticsearch:7.6.1
container_name: es03
environment:
- node.name=es03
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es01,es02
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data03:/usr/share/elasticsearch/data
ports:
- 9202:9202
networks:
- elastic
kib01:
image: docker.elastic.co/kibana/kibana:7.6.1
container_name: kib01
ports:
- 5601:5601
environment:
- I18N_LOCALE=zh-CN
- XPACK_GRAPH_ENABLED=true
- XPACK_MONITORING_KIBANA_COLLECTION_ENABLED=true
- ELASTICSEARCH_URL=http://es01:9200
- ELASTICSEARCH_HOSTS=http://es01:9200
networks:
- elastic
volumes:
data01:
driver: local
data02:
driver: local
data03:
driver: local
networks:
elastic:
driver: bridge
使用docker-compose up
命令運行即可。
kibana驗證
打開如下頁面:
http://localhost:5601/
具體效果如下:
這裏已經出現來中文漢化效果
cerebro驗證
打開如下連接:
http://localhost:9000/