自己记录docker和ES集群

LINUX 安装docker 和ES完全详细过程。

(https://blog.csdn.net/weixin_45844208/article/details/140521002)

安装的docker版本为 26.1.0

https://download.docker.com/linux/static/stable/x86_64/

安装的docker-compose的版本为：2.28.1

https://github.com/docker/compose/releases/download

https://github.com/docker/compose/releases/download/v2.27.1/docker-compose-linux-x86_64

1:上传到服务器然后解压

sudo tar -zxvf docker-26.1.4-x86_64.tgz

2:给权限

sudo chmod 755 -R docker

3:复制到环境变量目录

sudo cp docker/* /usr/bin/

4:配置创建docker服务配置文件docker.service

sudo vim /etc/systemd/system/docker.service

添加如下内容

[Unit]

Description=Docker Application Container Engine

Documentation=https://docs.docker.com

After=network-online.target firewalld.service

Wants=network-online.target

[Service]

Type=notify

ExecStart=/usr/bin/dockerd

ExecReload=/bin/kill -s HUP $MAINPID

TimeoutSec=0

RestartSec=2

ExecStartPost=/usr/sbin/iptables -P FORWARD ACCEPT

Restart=always

TimeoutStartSec=0

LimitNOFILE=infinity

LimitNPROC=infinity

LimitCORE=infinity

Delegate=yes

KillMode=process

StartLimitBurst=3

StartLimitInterval=60s

[Install]

WantedBy=multi-user.target

5:# 赋予docker服务配置文件docker.service执行权限

sudo chmod +x /etc/systemd/system/docker.service

6:docker服务相关命令

加载systemctl配置

sudo systemctl daemon-reload

启用docker服务开机自启动

sudo systemctl enable docker.service

启动docker服务

sudo systemctl start docker

检查docker服务状态

sudo systemctl status docker

查看安装的docker版本

sudo docker -v

查看更改自定义后的docker服务信息

sudo docker info

二：安装docker-compose

复制docker-compose到/usr/local/bin/目录下

sudo cp -f docker-compose-linux-x86_64.v2.28.1 /usr/local/bin/docker-compose

赋予docker-compose可执行权限

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

查看docker-compose版本

sudo docker-compose -v

三：安装部署ES集群

本次安装的ES版本为7.17.25

-1:本次为离线安装，首先需要在有线电脑下载镜像

docker pull docker.elastic.co/elasticsearch/elasticsearch:7.17.25

0:将镜像打包然后上传到服务器

docker save docker.elastic.co/elasticsearch/elasticsearch:7.17.25 -o elasticsearch-7.17.25.tar

0.1：然后在服务器上通过docker加载这个镜像

docker load -i elasticsearch-7.17.25.tar

0.2然后通过docker就可以看大这个镜像了

[root@a_pnw_nginx03 ~]# docker images

REPOSITORY TAG IMAGE ID CREATED SIZE

docker.elastic.co/elasticsearch/elasticsearch 7.17.25 2574569e84a1 5 weeks ago 634MB

创建Docker网络
为了让集群中的各个节点可以互相通信，我们需要先创建一个Docker网络：

docker network create es-network

2编写：docker-compose.yml 内容如下

注意：下面image 的内容就是上面展示镜像REPOSITORY的名字

services:

es01:

image: "docker.elastic.co/elasticsearch/elasticsearch:7.17.25"

container_name: es01

ports:

"9200:9200"
"9300:9300"

environment:

node.name: es01

discovery.seed_hosts: es01,es02,10.189.131.82:9300,10.189.131.82:9301

cluster.initial_master_nodes: es01,es02,10.189.131.82:9300,10.189.131.82:9301

cluster.name: myescluster

http.cors.enabled: true

http.cors.allow-origin: "*"
ES_JAVA_OPTS: -Xms512m -Xmx512m
xpack.security.enabled: true
ELASTIC_PASSWORD: QAZ2@wsx
volumes:

"/usr/local/es_cluster/node_1/data:/usr/share/elasticsearch/data"
"/usr/local/es_cluster/node_1/logs:/usr/share/elasticsearch/logs"
"/usr/local/es_cluster/node_1/plugins:/usr/share/elasticsearch/plugins"
networks:
es-network
ulimits:
memlock:
soft: -1
hard: -1
es02:
image: "docker.elastic.co/elasticsearch/elasticsearch:7.17.25"
container_name: es02
ports:
"9201:9200"
"9301:9300"
environment:
node.name: es02
discovery.seed_hosts: es01,es02,10.189.131.82:9300,10.189.131.82:9301
cluster.initial_master_nodes: es01,es02,10.189.131.82:9300,10.189.131.82:9301
cluster.name: myescluster
http.cors.enabled: true
http.cors.allow-origin: "* "

ES_JAVA_OPTS: -Xms512m -Xmx512m

xpack.security.enabled: true

ELASTIC_PASSWORD: QAZ2@wsx

volumes:

"/usr/local/es_cluster/node_2/data:/usr/share/elasticsearch/data"
"/usr/local/es_cluster/node_2/logs:/usr/share/elasticsearch/logs"
"/usr/local/es_cluster/node_2/plugins:/usr/share/elasticsearch/plugins"

networks:

es-network

ulimits:

memlock:

soft: -1

hard: -1

networks:

es-network:

driver: bridge

3:服务器创建挂载目录

mkdir -p /usr/local/es_cluster/node_1/data

mkdir -p /usr/local/es_cluster/node_1/logs

mkdir -p /usr/local/es_cluster/node_1/plugins/ik

mkdir -p /usr/local/es_cluster/node_2/data

mkdir -p /usr/local/es_cluster/node_2/logs

mkdir -p /usr/local/es_cluster/node_2/plugins/ik

并给予执行权限

sudo chmod +x /usr/local/es_cluster/

4:下载中文分词器

https://github.com/medcl/elasticsearch-analysis-ik/releases

在这个链接找对应版本的分词器版本。没有就下载当前版本最高的

然后注意如果分词版本和ES版本不一致需要将分词版本改为一致

分词下载后需要解压到映射目录

执行

unzip /wls/pansky/elasticsearch-analysis-ik-7.17.6.zip -d /usr/local/es_cluster/node_1/plugins/ik

unzip /wls/pansky/elasticsearch-analysis-ik-7.17.6.zip -d /usr/local/es_cluster/node_2/plugins/ik

然后修改版本号

cd /usr/local/es_cluster/node_1/plugins/ik

vim plugin-descriptor.properties

修改两处地方哦。

改为和ES版本一致的版本号

5:然后在服务新建一个目录单独存放ES的docker-compose.yml

用户名不可以自己定义是系统默认的 elastic

然后执行：docker-compose up -d

就可以启动成功。

通过 docker ps -a 查看启动情况

如果报错可以通过 docker-compose up 查看错误原因。

或者 docker logs 服务名字查看日志

docker-compose down

curl -u elastic:QAZ2@wsx -X GET "http://10.190.131.81:9200/_cat/nodes?v"