Linux-Docker-Elasticsearch7~8安装

ゞ浴缸里的玫瑰 2023-10-02 20:32 21阅读 0赞

### ES7单机版 ###

#### 下载镜像(服务端) ####

docker pull elasticsearch:7.12.0

#### 创建文件和配置文件 ####

mkdir -p  /config/es   /data/es   /plugins/es

#### 授权 ####

chmod -R 777 /config/es   /data/es /plugins/es

#### 创建文件 ####

**elasticsearch.yml**

cluster.name: "my-elasticsearch"
    network.host: 0.0.0.0
    discovery.zen.minimum_master_nodes: 1
    http.cors.enabled: true
    http.cors.allow-origin: "*"

然后将elasticsearch.yml文件放入/config/es下面即可

#### 启动镜像 ####

docker run --name elasticsearch -p 9200:9200  -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms256m -Xmx512m" \
    -v  /config/es/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
    -v  /data/es:/usr/share/elasticsearch/data \
    -v  /plugins/es:/usr/share/elasticsearch/plugins -d elasticsearch:7.12.0

#### 安装elasticsearch-head(客户端). ####

docker pull mobz/elasticsearch-head:5

docker run -d --name es-head -p 9100:9100 docker.io/mobz/elasticsearch-head:5

> 然后访问 http://106.12.174.230:9100

#### 安装ik分词器 ####

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

直接下载当前文章对应的版本: https://github.com/medcl/elasticsearch-analysis-ik/releases/tag/v7.12.0

mkdir -p  /plugins/es/ik
    
    cd  /plugins/es/ik
    
    wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.12.0/elasticsearch-analysis-ik-7.12.0.zip
    
    unzip   elasticsearch-analysis-ik-7.12.0.zip
    
    rm -rf  elasticsearch-analysis-ik-7.12.0.zip

重启容器 `docker restart elasticsearch` ,然后查看日志`docker logs -f elasticsearch` 只要没报错,那么就可以了,我们测试分词器看看好使不

curl -H "Content-Type: application/json" -X POST -d '{
       "analyzer": "ik_smart"
      ,"text": "我是中国人，我热爱我的祖国"
    }' http://127.0.0.1:9200/_analyze

### ES7集群(先把单机版玩明白了在说) ###

停止和删除单机的es容器,`docker stop elasticsearch ,docekr rm elasticsearch`

> node.name: es-node1 集群中保证唯一  
> discovery.zen.minimum\_master\_nodes: 1 master节点有1个  
> network.publish\_host 本机ip  
> 不同服务器端口号可以一样,但是我们在同一台服务上部署ES集群那么端口是不能一样的,通过端口号区别不同的ES  
> http.port: 9200  
> transport.tcp.port: 9300

创建配置文件和数据文件目录

mkdir -p  /config/es1     /config/es2     /config/es3
    mkdir -p  /data/es1     /data/es2     /data/es3  
    chmod -R 777 /config/es*   /data/es*

节点1的elasticsearch.yml文件

cluster.name: elasticsearch-cluster
    node.name: es-node1
    network.publish_host: 106.12.174.220
    network.bind_host: 0.0.0.0
    http.port: 9200
    transport.tcp.port: 9300
    http.cors.enabled: true
    http.cors.allow-origin: "*"
    node.master: true
    node.data: true
    cluster.initial_master_nodes: ["es-node1"]
    discovery.zen.ping.unicast.hosts: ["106.12.174.220:9300","106.12.174.220:9301","106.12.174.220:9302"]
    discovery.zen.minimum_master_nodes: 2

然后将文件移动到 `/config/es1`下之后启动下面命令即可

docker run --name elasticsearch1 -p 9200:9200  -p 9300:9300  -e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
    -v  /config/es1/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
    -v  /data/es1:/usr/share/elasticsearch/data \
    -v  /plugins/es:/usr/share/elasticsearch/plugins -d elasticsearch:7.12.0

节点2的elasticsearch.yml文件

cluster.name: elasticsearch-cluster
    node.name: es-node2
    network.publish_host: 106.12.174.220
    network.bind_host: 0.0.0.0
    http.port: 9201
    transport.tcp.port: 9301
    http.cors.enabled: true
    http.cors.allow-origin: "*"
    node.master: true
    node.data: true
    cluster.initial_master_nodes: ["es-node1"]
    discovery.zen.ping.unicast.hosts: ["106.12.174.220:9300","106.12.174.220:9301","106.12.174.220:9302"]
    discovery.zen.minimum_master_nodes: 2

然后将文件移动到 `/config/es2`下之后启动下面命令即可

docker run --name elasticsearch2 -p 9201:9201  -p 9301:9301 -e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
    -v  /config/es2/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
    -v  /data/es2:/usr/share/elasticsearch/data \
    -v  /plugins/es:/usr/share/elasticsearch/plugins -d elasticsearch:7.12.0

节点3的elasticsearch.yml文件

cluster.name: elasticsearch-cluster
    node.name: es-node3
    network.publish_host: 106.12.174.220
    network.bind_host: 0.0.0.0
    http.port: 9202
    transport.tcp.port: 9302
    http.cors.enabled: true
    http.cors.allow-origin: "*"
    node.master: true
    node.data: true
    cluster.initial_master_nodes: ["es-node1"]
    discovery.zen.ping.unicast.hosts: ["106.12.174.220:9300","106.12.174.220:9301","106.12.174.220:9302"]
    discovery.zen.minimum_master_nodes: 2

然后将文件移动到 `/config/es3`下之后启动下面命令即可

docker run --name elasticsearch3 -p 9202:9202  -p 9302:9302  -e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
    -v  /config/es3/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
    -v  /data/es3:/usr/share/elasticsearch/data \
    -v  /plugins/es:/usr/share/elasticsearch/plugins -d elasticsearch:7.12.0

最终结果  
![在这里插入图片描述][1d4c3d3ccab34c66bb8930f0cc345797.png]

然后我们查看相关节点的情况

> curl http://127.0.0.1:9202/\_cat/nodes

![在这里插入图片描述][66f78358dd094e73a4b14e3d45179d54.png]  
![在这里插入图片描述][3fbbae7181d74ceda785f49a3ceb96c1.png]

### 安装Kibana8 ###

如果只是学习ES那么可以不安装Kibana,使用es-head足够了,想安装的也行按照下面操作即可

# 需要和es版本一致
    docker pull kibana:8.1.2

创建配置文件 `mkdir -p /config/kibana` 然后`vi kibana.yml`

server.host: "0.0.0.0"
    server.shutdownTimeout: "5s"
    elasticsearch.hosts: [ "http://106.12.174.220:9200" ]
    monitoring.ui.container.elasticsearch.enabled: true
    i18n.locale: "zh-CN"

运行kibana

docker run  -v /config/kibana/kibana.yml:/usr/share/kibana/config/kibana.yml --name kibana  -p 5601:5601 -d kibana:8.1.2

> 查看日志 docker logs kibana

如果是Kibana8之前的版本就无须下面这些操作直接就能访问控制台了  
![在这里插入图片描述][2805109068ca42cdb13b6c52db7435fa.png]  
然后我们在页面上访问`http://106.12.174.220/:5601/?code=313523`  
![在这里插入图片描述][70a49a5bb9b34739abb0e57ccda1d511.png]  
![在这里插入图片描述][91c51bb422764c2b9aac4ed48764e528.png]  
![在这里插入图片描述][345ba9ce03ab4afeb0bd073bb0efa7ac.png]

然后根据提示操作即可,之后在访问`http://106.12.174.220:5601` 就可以进入控制台里了  
![在这里插入图片描述][7970f21048484d23af43e0d430ec8855.png]

### 问题解决 ###

#### max virtual memory areas vm.max\_map\_count \[65530\] is too low, increase to at least \[262144\] ####

# 1.首先切换至root用户
    su - root
    
    # 2.编辑sysctl.conf文件
    vim /etc/sysctl.conf
    
    # 3.结尾添加配置
    vm.max_map_count=262144
    
    # 4.加载配置
    sysctl -p
    
    # 5.查看修改结果
    sysctl -a|grep vm.max_map_count

> This is forbidden and usually indicates an incorrect discovery or cluster bootstrapping configuration. Note that the cluster UUID persists across restarts and can only be changed by deleting the contents of the node’s data paths \[\] which will also remove any data held by this node.", 节点数据不一致导致的 ,先停止所有服务然后删除es的数据文件之后在从新启动就行了

rm  -rf  /data/es1/*   /data/es2/*   /data/es3/*

#### 安装ES8集群配置参数 ####

cluster.name: elasticsearch-cluster
    node.name: es-node1
    network.host: 0.0.0.0
    http.port: 9200
    transport.port: 9300
    node.roles: [ data,master ]
    cluster.initial_master_nodes: ["es-node1"]
    discovery.seed_hosts: ["106.12.174.220:9300","106.12.174.220:9301","106.12.174.220:9302"]
    http.cors.enabled: true   
    http.cors.allow-origin: "*"   
    http.cors.allow-headers: Authorization,X-Requested-With,Content-Length,Content-Type
    xpack.security.enabled: false
    xpack.security.enrollment.enabled: false
    xpack.security.http.ssl.enabled: false
    xpack.security.transport.ssl.enabled: false

注意: ik分词器插件要替换为ES8的

#### 解决es-head 7+之后查询不出来数据 ####

因为elasticsearch 7+之后增加了请求头严格校验的原因,解决办法先将vendor.js文件从容器里复制出来

mkdir -p /config/es-head
    docker cp es-head:/usr/src/app/_site/vendor.js /config/es-head/vendor.js
    vi  /config/es-head/vendor.js

然后删除es-head容器`docker stop es-head&&docker rm es-head` ,因为我们等会要绑定配置文件的需要修改启动的参数

然后修改`/config/es-head/vendor.js` 的内容

> 6886行  
> contentType: "application/x-www-form-urlencoded  
> 改成  
> contentType: “application/json;charset=UTF-8”

> 7573行  
> var inspectData = s.contentType === “application/x-www-form-urlencoded” &&  
> 改成  
> var inspectData = s.contentType === “application/json;charset=UTF-8” &&

> vi命令显示行号为`:set nu` 跳转到指定行为 `:行号`

然后从新创建容器,绑定外部的配置文件

docker run -v /config/es-head/vendor.js:/usr/src/app/_site/vendor.js -d --name es-head -p 9100:9100  docker.io/mobz/elasticsearch-head:5

![在这里插入图片描述][241d60d901ab468c8532f2a2d4413093.gif]

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[1d4c3d3ccab34c66bb8930f0cc345797.png]: https://img-blog.csdnimg.cn/1d4c3d3ccab34c66bb8930f0cc345797.png
[66f78358dd094e73a4b14e3d45179d54.png]: https://img-blog.csdnimg.cn/66f78358dd094e73a4b14e3d45179d54.png
[3fbbae7181d74ceda785f49a3ceb96c1.png]: https://img-blog.csdnimg.cn/3fbbae7181d74ceda785f49a3ceb96c1.png
[2805109068ca42cdb13b6c52db7435fa.png]: https://img-blog.csdnimg.cn/2805109068ca42cdb13b6c52db7435fa.png
[70a49a5bb9b34739abb0e57ccda1d511.png]: https://img-blog.csdnimg.cn/70a49a5bb9b34739abb0e57ccda1d511.png
[91c51bb422764c2b9aac4ed48764e528.png]: https://img-blog.csdnimg.cn/91c51bb422764c2b9aac4ed48764e528.png
[345ba9ce03ab4afeb0bd073bb0efa7ac.png]: https://img-blog.csdnimg.cn/345ba9ce03ab4afeb0bd073bb0efa7ac.png
[7970f21048484d23af43e0d430ec8855.png]: https://img-blog.csdnimg.cn/7970f21048484d23af43e0d430ec8855.png
[241d60d901ab468c8532f2a2d4413093.gif]: https://img-blog.csdnimg.cn/241d60d901ab468c8532f2a2d4413093.gif