搭建自己的搜索引擎——oh-my-search使用

搭建自己的搜索引擎——oh-my-search使用

使用elasticsearch和search-ui搭建自己的搜索引擎，快速查找资源和文件。如果对代码感兴趣，相关代码已在github上开源，欢迎fork代码。

搭建elasticsearch

先搭建eleasticsearch再搭建kibana

搭建elasticsearch

mkdir elasticsarch
cd elasticsarch
mkdir -p /es/plugins
mkdir -p /es/data
mkdir -p /es/logs
mkdir -p /es/config
vim docker-compose.yml

编辑docker-compose.yml文件，内容如下：

version: '3'
services:elasticsearch:image: elasticsearch:8.9.0container_name: elasticsearchprivileged: trueenvironment:- "cluster.name=elasticsearch" #设置集群名称为elasticsearch- "discovery.type=single-node" #以单一节点模式启动- "ES_JAVA_OPTS=-Xms512m -Xmx1096m" #设置使用jvm内存大小- bootstrap.memory_lock=truevolumes:- ./es/plugins:/usr/share/elasticsearch/plugins #插件文件挂载- ./es/data:/usr/share/elasticsearch/data:rw #数据文件挂载- ./es/logs:/usr/share/elasticsearch/logs:rw- ./es/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.ymlports:- 9200:9200- 9300:9300deploy:resources:limits:cpus: "2"memory: 1000Mreservations:memory: 200M

其中./es/config/elasticsearch.yml的内容如下，可按需修改：

cluster.name: "elasticsearch"
network.host: 0.0.0.0

• 启动elasticsearch

配置完成后，启动elasticsearch。

docker-compose --compatibility up -d

同时进入elasticsearch容器内部，修改密码。

# 进入容器内部
docker exec -it elasticsearch bash
# 修改密码
elasticsearch@4c37fcfb6f13:~$ ls
LICENSE.txt  NOTICE.txt  README.asciidoc  bin  config  data  jdk  lib  logs  modules  plugins
elasticsearch@4c37fcfb6f13:~$ bin/elasticsearch-reset-password --username elastic -i
bin/elasticsearch-reset-password --username kibana -i

搭建kibana

mkdir kibana
cd kibana
vim docker-compose.yml

docker-compose.yml的内容如下：

version: '3'
services:kibana:image: kibana:8.9.0container_name: kibanavolumes:- ./kibana.yml:/usr/share/kibana/config/kibana.ymlports:- 5601:5601deploy:resources:limits:cpus: "1"memory: 1000Mreservations:memory: 200M

kibana.yml的文件内容如下，可按需修改：

elasticsearch.hosts: http://elasticsearch:9200
elasticsearch.username: kibana
elasticsearch.password: kibana
server.host: "0.0.0.0"
server.name: kibana
xpack.monitoring.ui.container.elasticsearch.enabled: true
i18n.locale: zh-CN

启动kibana，

docker-compose --compatibility up -d

同时搭建eleasticsearch和kibana

• 使用docker-compose启动elasticsearch

编辑docker-compose.yml文件，内容如下：

version: '3'
services:elasticsearch:image: elasticsearch:8.9.0container_name: elasticsearchprivileged: trueenvironment:- "cluster.name=elasticsearch" #设置集群名称为elasticsearch- "discovery.type=single-node" #以单一节点模式启动- "ES_JAVA_OPTS=-Xms512m -Xmx1096m" #设置使用jvm内存大小- bootstrap.memory_lock=truevolumes:- ./es/plugins:/usr/local/dockercompose/elasticsearch/plugins #插件文件挂载- ./es/data:/usr/local/dockercompose/elasticsearch/data:rw #数据文件挂载- ./es/logs:/usr/local/dockercompose/elasticsearch/logs:rwports:- 9200:9200- 9300:9300deploy:resources:limits:cpus: "2"memory: 1000Mreservations:memory: 200Mkibana:image: kibana:8.9.0container_name: kibanadepends_on:- elasticsearch #kibana在elasticsearch启动之后再启动volumes:- ./es/config/kibana:/usr/share/kibana/config/kibana.yamlports:- 5601:5601

其中kibana.yaml的内容如下：

elasticsearch.hosts: http://elasticsearch:9200
server.host: "0.0.0.0"
server.name: kibana
xpack.monitoring.ui.container.elasticsearch.enabled: true
i18n.locale: zh-CN

• 进入elasticsearch终端，修改elasticsearch密码

# 进入容器内部
docker exec -it elasticsearch bash
# 修改密码
elasticsearch@4c37fcfb6f13:~$ ls
LICENSE.txt  NOTICE.txt  README.asciidoc  bin  config  data  jdk  lib  logs  modules  plugins
elasticsearch@4c37fcfb6f13:~$ bin/elasticsearch-reset-password --username elastic -i
WARNING: Owner of file [/usr/share/elasticsearch/config/users] used to be [root], but now is [elasticsearch]
WARNING: Owner of file [/usr/share/elasticsearch/config/users_roles] used to be [root], but now is [elasticsearch]
This tool will reset the password of the [elastic] user.
You will be prompted to enter the password.
Please confirm that you would like to continue [y/N]yEnter password for [elastic]: 
Re-enter password for [elastic]: 
Password for the [elastic] user successfully reset.
elasticsearch@4c37fcfb6f13:~$

• 生成kibana的token

# 重启容器然后进入容器内部生成kibana的token
docker exec -it elasticsearch bash
elasticsearch@4c37fcfb6f13:~$ bin/elasticsearch-create-enrollment-token -s kibana

• 获取kibana验证码

# 在浏览器打开http://ip:5601,粘贴kibana的token，然后进入kibana容器内部获取验证码
sudo docker exec -it kibana bash       
kibana@fce2ab8aec1e:~$ ls
LICENSE.txt  NOTICE.txt  README.txt  bin  config  data  logs  node  node_modules  package.json  packages  plugins  src  x-pack
kibana@fce2ab8aec1e:~$ bin/kibana-verification-code 
Your verification code is:  042 943 

搭建search-ui

• 创建search-ui项目

npm install -g  create-react-app
# 创建名为doc_index的项目
create-react-app doc_index --use-npm
cd doc_index
npm install --save @elastic/react-search-ui @elastic/search-ui-app-search-connector @elastic/search-ui-elasticsearch-connector

• 启动search-ui项目

npm start

• 创建api_key

登录kibana，进入到/app/management/security/api_keys/，创建一个api_key并记录api_key.

• 创建索引

登录kibana的dev_tools创建和设置索引：

# 创建索引
PUT /doc_index# 设置索引属性
PUT /doc_index/_mapping
{"properties":{"title":{"type":"text","fields":{"suggest": {"type": "search_as_you_type"}}},"category":{"type":"text"},"url":{"type":"text"}}
}# 设置查询返回的最大条数
PUT /doc_index/_settings
{"index" : {"max_result_window": 500000}
}

• 导入数据

# 插入单条数据
POST /doc_index/_bulk
{"index":{}}
{"title":"test","category":"test","url":"http://localhost:3000"}## 批量插入
POST /doc_index/_bulk
{"index":{}}
{"title":"test2","category":"test","url":"http://localhost:3001"}
{"index":{}}
{"title":"dir","category":"test","url":"http://localhost:3002"}
{"index":{}}
{"title":"ddssd","category":"test","url":"http://localhost:3003"}
{"index":{}}
{"title":"测试","category":"test","url":"http://localhost:3004"}

当然也可以用命令行插入，如使用curl命令：

curl --username username:password -H "Content-Type: application/json" -XPOST  192.168.56.130:9200/bank/account/_bulk?pretty --data-binary "@test.json"

其中–username指定elasticsearch的用户名和密码，test.json的内容如下：

{"index":{}}
{"title":"test2","category":"test","url":"http://localhost:3001"}
{"index":{}}
{"title":"dir","category":"test","url":"http://localhost:3002"}
{"index":{}}
{"title":"ddssd","category":"test","url":"http://localhost:3003"}
{"index":{}}
{"title":"测试","category":"test","url":"http://localhost:3004"}

完整数据插入命令如下：

PUT /doc_index/_mapping
{"properties":{"title":{"type":"text","fields":{"suggest": {"type": "search_as_you_type"}}},"category":{"type":"text"},"url":{"type":"text"}}
}PUT /doc_index/_settings
{"index" : {"max_result_window": 500000}
}GET /doc_index/_searchPOST /doc_index/_bulk
{"index":{}}
{"title":"test2","category":"test","url":"http://localhost:3001"}
{"index":{}}
{"title":"dir","category":"test","url":"http://localhost:3002"}
{"index":{}}
{"title":"ddssd","category":"test","url":"http://localhost:3003"}
{"index":{}}
{"title":"测试","category":"test","url":"http://localhost:3004"}

完善search-ui

search-ui下载下来之后，还没有绑定数据，此时还需要修改app.js来进行适配。

app.js需更改成：

// Step #1, import statements
import React from "react";
// 这里需要注意app和网页的接口名称不一样
import ElasticsearchAPIConnector from "@elastic/search-ui-elasticsearch-connector";
import {PagingInfo,ResultsPerPage,Paging,SearchProvider,Results,SearchBox,Sorting
} from "@elastic/react-search-ui";
import { Layout } from "@elastic/react-search-ui-views";
import "@elastic/react-search-ui-views/lib/styles/styles.css";// Step #2, The connector
const connector = new ElasticsearchAPIConnector({host: "http://elasticsearch:9200", // elasticsearch的地址apiKey: "WjUxNVpZc0JTb3pYN2J6cEdqRHQ6R3Y0all0R1dTai1LSjhqMGc5THFVdw==", // elasticsearch 的登录秘钥，在kibana上生成index: "doc_index" // 要访问的索引的地址
});// Step #3: Configuration options
const configurationOptions = {searchQuery: {search_fields: {title: {weight: 3},url: {},category: {}},result_fields: {title: {snippet: {}},url: {snippet: {}},category: {snippet: {}}}},apiConnector: connector,alwaysSearchOnInitialLoad: true
};// step4 show result 
export default function App() {return (<SearchProvider config={configurationOptions}><div className="App"><Layoutheader={<SearchBox />}// 要展示的标题和标题对应的连接bodyContent={<Results titleField="title" urlField="url" />}bodyHeader={<><PagingInfo /><ResultsPerPage /></>}bodyFooter={<Paging />}/></div></SearchProvider>);
}

还可以修改一下public下面的title标签，修改成自己的项目标签。如：

<title>doc_index</title>