centos7安装docker、docker-compose、es7.3.0、kibana7.3.0

一、安装docker

1.更新yum包

sudo yum update

2.卸载旧版本(如果安装过旧版本的话)

sudo yum remove docker docker-common docker-selinux docker-engine

3.安装需要的软件包, yum-util 提供yum-config-manager功能,另外两个是devicemapper驱动依赖的

sudo yum install -y yum-utils device-mapper-persistent-data lvm2

4.设置yum源

sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo

5.安装docker-ce

sudo yum install docker-ce

6.启动并加入开机启动

sudo systemctl start docker sudo systemctl enable docker

7.验证安装

sudo docker version

二、安装docker-compose

1. 安装指定版本(替换1.23.2为自己需要安装的版本)

https://github.com/docker/compose/releases/ 上查看可用版本即安装命令。

curl -L https://github.com/docker/compose/releases/download/1.25.4/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose

2. 执行命令,赋权

sudo chmod +x /usr/local/bin/docker-compose

3.验证安装

docker-compose version

三、docker安装elasticsearch、kibana

1. 拉取指定版本elasticsearch镜像文件

docker pull elasticsearch:7.3.0

2. 拉取指定版本kibana镜像文件

docker pull kibana:7.3.0

3.验证镜像

docker images

四、docker-compose启动elasticsearch、kibana

1. 在linux的root根目录(随你心意)创建app目录,并在app目录下创建一下目录结构

/app/

-docker-compose.yml docker-compose的启动文件

-es/ elastic的配置文件目录

---es.yml es的启动文件

---data/ 存放es数据

---logs/ 存放es日志

---plugins/ 存放es插件

-------ik/ ik分词插件

-kibana/ kibana的配置文件目录

---kibana.yml kibana的启动文件

1.1 下载ik分支插件,解压到/app/es/plugins/ik/目录下

elasticsearch-analysis-ik-7.3.0.zip

unzip elasticsearch-analysis-ik-7.3.0.zip

2. 配置文件

2.1 es.yml

cluster.name: my-elasticsearch

node.name: master

node.master: true

node.data: true

bootstrap.memory_lock: false

network.host: 0.0.0.0

discovery.zen.ping.unicast.hosts: ["192.168.125.5:9200"]

discovery.zen.minimum_master_nodes: 1

http.cors.enabled: true

http.cors.allow-origin: "*"

cluster.initial_master_nodes:
- master

2.2 kibana.yml

2.3 docker-compose.yml

version: "2"
services:
elastic:
image: elasticsearch:7.3.0
container_name: es
environment:
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
volumes:
- /etc/localtime:/etc/localtime
- /app/es/data:/usr/share/elasticsearch/data
- /app/es/logs:/usr/share/elasticsearch/logs
- /app/es/plugins/ik:/usr/share/elasticsearch/plugins/ik
- /app/es/es.yml:/usr/share/elasticsearch/config/elasticsearch.yml
ports:
- 9200:9200
- 9300:9300

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Kibana[Docker Compose](https://my.oschina.net/gentlelions?q=Docker Compose)CentOSDockerElasticSearch

3 月,跳不动了?>>> centos7安装docker、docker-compose、es7.3.0、kibana7.3.0

一、安装docker

1.更新yum包

sudo yum update

2.卸载旧版本(如果安装过旧版本的话)

sudo yum remove docker docker-common docker-selinux docker-engine

3.安装需要的软件包, yum-util 提供yum-config-manager功能,另外两个是devicemapper驱动依赖的

sudo yum install -y yum-utils device-mapper-persistent-data lvm2

4.设置yum源

sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo

5.安装docker-ce

sudo yum install docker-ce

6.启动并加入开机启动

sudo systemctl start docker

sudo systemctl enable docker

7.验证安装

sudo docker version

二、安装docker-compose

1. 安装指定版本(替换1.23.2为自己需要安装的版本)

https://github.com/docker/compose/releases/ 上查找可用版本,并执行相关命令

sudo curl -L https://github.com/docker/compose/releases/download/1.25.4/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose

sudo chmod +x /usr/local/bin/docker-compose

sudo curl -L "https://github.com/docker/compose/releases/download/1.23.2/docker-compose-\((uname -s)-\)(uname -m)" -o /usr/local/bin/docker-compose

2. 执行命令,赋权

sudo chmod +x /usr/local/bin/docker-compose

3.验证安装

docker-compose version

三、docker安装elasticsearch、kibana

1. 拉取指定版本elasticsearch镜像文件

docker pull elasticsearch:7.3.0

2. 拉取指定版本kibana镜像文件

docker pull kibana:7.3.0

3.验证镜像

docker images

四、docker-compose启动elasticsearch、kibana

1. 在linux的root根目录(随你心意)创建app目录,并在app目录下创建一下目录结构

/app/

-docker-compose.yml docker-compose的启动文件

-es/ elastic的配置文件目录

---es.yml es的启动文件

---data/ 存放es数据

---logs/ 存放es日志

---plugins/ 存放es插件

-------ik/ ik分词插件

-kibana/ kibana的配置文件目录

---kibana.yml kibana的启动文件

1.1 下载ik分支插件,解压到/app/es/plugins/ik/目录下

elasticsearch-analysis-ik-7.3.0.zip

unzip elasticsearch-analysis-ik-7.3.0.zip

2. 配置文件

2.1 es.yml

cluster.name: my-elasticsearch

node.name: master

node.master: true

node.data: true

bootstrap.memory_lock: false

network.host: 0.0.0.0

discovery.zen.ping.unicast.hosts: ["192.168.125.5:9200"]

discovery.zen.minimum_master_nodes: 1

http.cors.enabled: true

http.cors.allow-origin: "*"

cluster.initial_master_nodes:
- master

2.2 kibana.yml

2.3 docker-compose.yml

version: "2"
services:
elastic:
image: elasticsearch:7.3.0
container_name: es
environment:
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
volumes:
- /etc/localtime:/etc/localtime
- /app/es/data:/usr/share/elasticsearch/data
- /app/es/logs:/usr/share/elasticsearch/logs
- /app/es/plugins/ik:/usr/share/elasticsearch/plugins/ik
- /app/es/es.yml:/usr/share/elasticsearch/config/elasticsearch.yml
ports:
- 9200:9200
- 9300:9300

3.启动docker-compose

docker-compose up -d

4.停止docker-compose

docker-compose down

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