linux下用docker部署es和kibana（一）

在linux下用docker部署es和kibana
1、在某个文件夹下创建docker-compose.yml文件，并把以下内容copy进去

version: '3'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.6.0
    container_name: elasticsearch
    environment:
      - discovery.type=single-node  #单节点
      - ES_JAVA_OPTS=-Xms512m -Xmx512m   # 设置ES内存大小为512MB，我的服务器内存不大，所以设置512m
    ports:
      - "9200:9200"
    networks:
      - elastic

  kibana:
    image: docker.elastic.co/kibana/kibana:7.6.0
    container_name: kibana
    ports:
      - "5601:5601"
    networks:
      - elastic

networks:
  elastic:
    driver: bridge

2、然后用docker-compose up 启动服务
3、在启动过程中，发现es没有启动起来 于是如下命令查看日志，最后发现是内存不够，所以杀掉了一些其他不必要的进程释放内存

docker logs elasticsearch

4、查看可用内存命令

free -h

5、重新用后台启动

docker-compose up -d

6、启动成功后，用如下命令检查,看到es和kibana都是running状态

docker-compose ps

7、用命令行来访问es是否正常启动起来，windows环境下打开dos窗口，执行以下命令,或者直接在linux系统里面执行如下命令，看到如下返回内容即是启动成功

curl -X GET ip:9200

访问es响应的内容

{
  "name" : "e088ac539fa7",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "AwOxpCU0QViXu1QEp5g3ew",
  "version" : {
    "number" : "7.6.0",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "7f634e9f44834fbc12724506cc1da681b0c3b1e3",
    "build_date" : "2020-02-06T00:09:00.449973Z",
    "build_snapshot" : false,
    "lucene_version" : "8.4.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

8、在浏览器端输入 http://ip:5601/app/kibana#/home 访问es