ElassticSearch、分词器的安装流程

喜欢ヅ旅行 2024-03-16 23:43 10阅读 0赞

### 1、ElassticSearch的安装 ###

### 1.1 下载ElassticSearch ###

*  查询

> docker search elasticsearch

![1aa75b5c0bae43fa9e9270171ee67b01.png][]

*  下载镜像

> docker pull elasticsearch

![8475aab5eb444ce7b00ee690bef68c97.png][]

*  查看下载ElassticSearch版本

![c7019df4108a43e9bafd6f1160e69393.png][]

### 1.2 挂载文件夹 ###

创建挂载文件夹

*  创建elasticsearch文件夹，并在下面创建子文件夹data，config和plugins

> \[root@localhost software\]\# mkdir -p elasticsearch/data  
> \[root@localhost software\]\# mkdir -p elasticsearch/config  
> \[root@localhost elasticsearch\]\# mkdir -p elasticsearch/plugins

*  修改文件夹的访问权限

> chmod 777 elasticsearch/\*\*

![a98a7f5dfaef40828c20029032c145ce.png][]

*  添加 elasticsearch.yml文件

> \[root@localhost config\]\# touch elasticsearch.yml  
> \[root@localhost config\]\# chmod 777 elasticsearch.yml

*  修改elasticsearch.yml的内容

> http.host: 0.0.0.0  
> http.cors.enabled: true  
> http.cors.allow-origin: "\*"

### 1.3 配置环境 ###

*  调整max\_map\_count的数值

> sysctl -w vm.max\_map\_count=262144

*  sysctl -w vm.max\_map\_count=262144

![303e2c395572495da4006c76e41bef4b.png][]

### 1.4 创建运行容器 ###

> docker run -itd \\  
> \--name es \\  
> \--privileged \\  
> \-p 9200:9200 \\  
> \-p 9300:9300 \\  
> \-e "discovery.type=single-node" \\  
> \-e ES\_JAVA\_OPTS="-Xms1g -Xmx1g" \\  
> \-v /usr/local/software/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \\  
> \-v /usr/local/software/elasticsearch/data:/usr/share/elasticsearch/data \\  
> \-v /usr/local/software/elasticsearch/plugins:/usr/share/elasticsearch/plugins \\  
> elasticsearch:7.17.7

![1ecd4a72e5734341aba492ba25d860a9.png][]

![367cd90351a24804860684d228ace5b1.png][]

### 1.5 修改ES内存大小 ###

*  进入容器内的config文件夹

![95c38d48ac4c42b5a02fb9535b8c8005.png][]

*  修改jvm.options默认内存大小

![b4f5fc9a4d414c1cabb4ff9a7ec19474.png][] ![670b40017245495d8368dce3e0aa04be.png][]

*  退出重启容器

### 1.6 开放端口 ###

> \[root@localhost config\]\# firewall-cmd --zone=public --add-port=9200/tcp --permanent  
> success  
> \[root@localhost config\]\# firewall-cmd --zone=public --add-port=9300/tcp --permanent  
> success  
> \[root@localhost config\]\# firewall-cmd --reload  
> success

![0c350054ddb946539c514fa94a67e5d1.png][]

### 1.7 测试 ###

![8fbbb1a2cd0a4d9da59f69a0450c91ad.png][]

## 2、Kibana的安装 ##

### 2.1 下载镜像 ###

> \[root@localhost config\]\# docker pull kibana:7.17.7

### ![b5840ca29cd04da7ab8f9b118d4fe454.png][] ###

### 2.2 创建运行容器 ###

红色部分需要根据ip地址和ES容器的端口号修改

> docker run -itd --name kibana -e "ELASTICSEARCH\_HOSTS=http://192.168.121.130:9200" -p 5601:5601 kibana:7.17.7

### 2.3 开放端口 ###

> \[root@localhost config\]\# firewall-cmd --zone=public --add-port=5601/tcp --permanent  
> success  
> \[root@localhost config\]\# firewall-cmd --reload  
> success

### 2.4 测试 ###

ip地址+Kibana的端口号

### ![122658a3ea3949c29ee248dc52624205.png][] ###

![6367bd6b0ed04be2ba0ab077a48326f4.png][]

## 3、分词器IK Analysis for Elasticsearch ##

### 3.1 下载分词器 ###

下载地址：[https://github.com/medcl/elasticsearch-analysis-ik/releases?page=2][https_github.com_medcl_elasticsearch-analysis-ik_releases_page_2]

![232d2bb1e94947668ea0f9d065c2cfa8.png][]

### 3.2 上传分词器 ###

*  创建elasticsearch-analysis-ik文件夹

> \[root@localhost software\]\# mkdir elasticsearch-analysis-ik

*  上传下载的分词器到elasticsearch-analysis-ik文件夹
 *  进入ES容器中，在文件夹plugins下创建ik子文件夹

![38f722ef9cbb4a42950c591862d772e8.png][]

*  将分词器压缩包复制到容器的ik文件夹中

> \[root@localhost elasticsearch-analysis-ik\]\# docker cp elasticsearch-analysis-ik-7.17.7.zip es:/usr/share/elasticsearch/plugins/ik

### 3.3 解压分词器 ###

*  进入ES容器中，在文件夹plugins下ik子文件夹下解压压缩包

> root@6fa12b7a6ddb:/usr/share/elasticsearch/plugins/ik\# unzip elasticsearch-analysis-ik-7.17.7.zip

![c5d4979c1f27417f9ebd64cbe101ec1a.png][]

*  删除压缩包并重启容器

> root@6fa12b7a6ddb:/usr/share/elasticsearch/plugins/ik\# rm -rf elasticsearch-analysis-ik-7.17.7.zip
> 
> sroot@6fa12b7a6ddb:/usr/share/elasticsearch/plugins\# exit  
> exit  
> \[root@localhost elasticsearch-analysis-ik\]\# docker restart es

### 3.4 测试 ###

![14c552fb883ae059866150e874015ea1.png][]

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[https_github.com_medcl_elasticsearch-analysis-ik_releases_page_2]: https://github.com/medcl/elasticsearch-analysis-ik/releases?page=2
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