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Elasticsearch集群容器化部署

时间:2020-01-15 21:15:11      阅读:264      评论:0      收藏:0      [点我收藏+]

基本配置示例

节点ip: 10.160.76.10,10.160.76.11,10.160.76.12
节点配置: 内存64GB,硬盘200G,CPU16核
Elasticsearch版本: 7.5.1

部署Elasticsearch节点

# esnode1: 10.160.76.10
docker run -d --name esnode01     -v /disk01/es/data:/usr/share/elasticsearch/data     --ulimit memlock=-1:-1     --ulimit nofile=65535:65535     --ulimit nproc=4096:4096     -p 9200:9200     -p 9300:9300     -e node.name=esnode01     -e node.data=true     -e node.master=true     -e transport.port=9300     -e network.publish_host=10.160.76.10:9300     -e discovery.seed_hosts=10.160.76.10:9300,10.160.76.11:9300,10.160.76.12:9300     -e cluster.initial_master_nodes=esnode01,esnode02,esnode03     -e cluster.name=es-docker-cluster     -e bootstrap.memory_lock=true     -e "ES_JAVA_OPTS=-Xms31g -Xmx31g"     -e http.cors.enabled=true     -e http.cors.allow-origin=*     --restart=always     dockerhub.nie.netease.com/zhangbin05/elasticsearch:7.5.1
# esnode2: 10.160.76.11
docker run -d --name esnode02     -v /disk01/es/data:/usr/share/elasticsearch/data     --ulimit memlock=-1:-1     --ulimit nofile=65535:65535     --ulimit nproc=4096:4096     -p 9200:9200     -p 9300:9300     -e node.name=esnode02     -e node.data=true     -e node.master=true     -e transport.port=9300     -e network.publish_host=10.160.76.11:9300     -e discovery.seed_hosts=10.160.76.10:9300,10.160.76.11:9300,10.160.76.12:9300     -e cluster.initial_master_nodes=esnode01,esnode02,esnode03     -e cluster.name=es-docker-cluster     -e bootstrap.memory_lock=true     -e "ES_JAVA_OPTS=-Xms31g -Xmx31g"     -e http.cors.enabled=true     -e http.cors.allow-origin=*     --restart=always     dockerhub.nie.netease.com/zhangbin05/elasticsearch:7.5.1
# esnode3: 10.160.76.12
docker run -d --name esnode03     -v /disk01/es/data:/usr/share/elasticsearch/data     --ulimit memlock=-1:-1     --ulimit nofile=65535:65535     --ulimit nproc=4096:4096     -p 9200:9200     -p 9300:9300     -e node.name=esnode03     -e node.data=true     -e node.master=true     -e transport.port=9300     -e network.publish_host=10.160.76.12:9300     -e discovery.seed_hosts=10.160.76.10:9300,10.160.76.11:9300,10.160.76.12:9300     -e cluster.initial_master_nodes=esnode01,esnode02,esnode03     -e cluster.name=es-docker-cluster     -e bootstrap.memory_lock=true     -e "ES_JAVA_OPTS=-Xms31g -Xmx31g"     -e http.cors.enabled=true     -e http.cors.allow-origin=*     --restart=always     dockerhub.nie.netease.com/zhangbin05/elasticsearch:7.5.1

部署Kibana

# run kibana 在服务器10.160.76.10
docker run -d --name kibana     -p 5601:5601     -v /disk01/kibana/kibana.yml:/usr/share/kibana/config/kibana.yml     --restart=always     dockerhub.nie.netease.com/zhangbin05/kibana:7.5.1
# kibana.yml
server.host: "0.0.0.0"
elasticsearch.hosts: [ "http://10.160.76.10:9200","http://10.160.76.11:9200","http://10.160.76.12:9200"]

Kibana访问地址: http://10.160.76.10:5601

Elasticsearch restful api: https://www.elastic.co/guide/en/elasticsearch/reference/current/rest-apis.html

Elasticsearch集群容器化部署

原文:https://www.cnblogs.com/battlescars/p/es_deploy.html

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