ElasticSearch第二篇:安装插件

ElasticSearch插件安装一：ElasticSearch-head
ElasticSearch插件安装二：kibana
ElasticSearch插件安装三：安装IK分词插件

ElasticSearch插件安装一：ElasticSearch-head

第一步：在github中搜索ElasticSearch-head

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https://github.com/mobz/elasticsearch-head
根据里面的步骤一步步安装ElasticSearch-head

git clone git://github.com/mobz/elasticsearch-head.git
cd elasticsearch-head
npm install
npm run start
open http://localhost:9100/

其中，本地环境出现了一个问题：

[@cici:elasticsearch-head (master)]$ node -v
dyld: Library not loaded: /usr/local/opt/icu4c/lib/libicui18n.60.dylib
  Referenced from: /usr/local/bin/node
  Reason: image not found
Abort trap: 6

重新安装：brew install node

Error: node 8.9.2 is already installed
To upgrade to 12.9.1, run `brew upgrade node`.

再执行：brew upgrade node
等待了好几分钟！！！

接着报了这个错！！！

[@cici:~ (master)]$ npm install
npm WARN saveError ENOENT: no such file or directory, open '/Users/cici/package.json'
npm WARN enoent ENOENT: no such file or directory, open '/Users/cici/package.json'
npm WARN cici No description
npm WARN cici No repository field.
npm WARN cici No README data
npm WARN cici No license field.

up to date in 1.828s
found 0 vulnerabilities

执行：npm init 成功

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web界面可以看到，状态显示未连接
因为es 和 head 属于两个进程。它们直接的访问需要跨域
elasticsearch.yml 在 6.8.2版本 /usr/local/Cellar/elasticsearch/6.8.2/libexec/config文件夹下
添加如下配置：

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执行elasticsearch ／elasticsearch-head 启动,

启动elasticsearch报错：

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全局安装：
npm install -g xl_close_port

关闭某一个端口 （ 9100 ）：
[@cici:~ (master)]$ xl_close_port -p 9100
关闭端口 9100 成功！

再次重启：npm run start

此时，在插件中可以看到es里建的索引：

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ElasticSearch插件安装二：kibana

安装：brew install kibana
启动kibana：kibana
查看信息：brew info kibana

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一：Kibaba 中的dev Tools 中导入数据

PUT /megacorp/employee/1
{
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        25,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music" ]
}
PUT /megacorp/employee/2
{
    "first_name" : "cici",
    "last_name" :  "xiao",
    "age" :        24,
    "about" :      "I love to running",
    "interests": [ "coding", "music" ]
}

GET /megacorp/employee/1
GET /megacorp/employee/2

可以通过es搜索的到。这样成功实现了Kibana和es的交互