DockerCompose部署es和kibana

DockerCompose文件

version: '3.1'
services:
  elasticsearch:
    image: elasticsearch:7.13.3
    container_name: elasticsearch
    privileged: true
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      - ES_JAVA_OPTS=-Xms128m -Xmx1024m #设置使用jvm内存大小
      - cluster.name=elasticsearch  #设置集群名称
      - discovery.type=single-node  #以单一节点模式启动
      - bootstrap.memory_lock=true
      - http.cors.enabled=true
      - http.cors.allow-origin=*
      - TZ=Asia/Shanghai
    deploy:
      resources:
        limits:
          cpus: "2"
          memory: 1000M
        reservations:
          memory: 200M
    ulimits:
      memlock:
        soft: -1
        hard: -1

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新建文件夹

/data/docker/es/plugins
/data/docker/es/data
/data/docker/es/logs
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把es的内部文件拷贝出来

docker cp elasticsearch:/usr/share/elasticsearch/plugins /opt/docker/data/es/plugins

docker cp elasticsearch:/usr/share/elasticsearch/data /opt/docker/data/es/data

docker cp elasticsearch:/usr/share/elasticsearch/logs /opt/docker/data/es/logs
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然后停止容器

删除容器

重新运行yml文件

version: '3.1'
services:
  elasticsearch:
    image: elasticsearch:7.13.3
    container_name: elasticsearch
    privileged: true
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      - ES_JAVA_OPTS=-Xms128m -Xmx1024m #设置使用jvm内存大小
      - cluster.name=elasticsearch  #设置集群名称
      - discovery.type=single-node  #以单一节点模式启动
      - bootstrap.memory_lock=true
      - http.cors.enabled=true
      - http.cors.allow-origin=*
      - TZ=Asia/Shanghai
    volumes:
      - /opt/docker/data/es/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /opt/docker/data/es/data:/usr/share/elasticsearch/data #数据文件挂载
      - /opt/docker/data/es/logs:/user/share/elasticsearch/logs
    deploy:
      resources:
        limits:
          cpus: "2"
          memory: 1000M
        reservations:
          memory: 200M
    ulimits:
      memlock:
        soft: -1
        hard: -1
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部署成功访问

http://服务器id:9200/

kibana 的yml文件