Head插件安装

1. Head插件简介
ElasticSearch-head是一个H5编写的ElasticSearch集群操作和管理工具，可以对集群进行傻瓜式操作。

• 显示集群的拓扑,并且能够执行索引和节点级别操作
• 搜索接口能够查询集群中原始json或表格格式的检索数据
• 能够快速访问并显示集群的状态
• 有一个输入窗口,允许任意调用RESTful API。这个接口包含几个选项,可以组合在一起以产生有趣的结果;
• 5.0版本之前可以通过plugin名安装，5.0之后可以独立运行。

2. Head插件安装
（1）安装NodeJS

[root@cyj ~]# yum install -y nodejs

（2）安装npm

[root@cyj~]#  npm install -g cnpm --registry=https://registry.npm.taobao.org

（3）使用npm安装grunt

[root@cyj~]# npm install -g grunt
npm WARN deprecated coffee-script@1.10.0: CoffeeScript on NPM has moved to "coffeescript" (no hyphen)
npm WARN gentlyRm not removing /usr/bin/grunt as it wasn't installed by /usr/lib/node_modules/grunt
/usr/bin/grunt -> /usr/lib/node_modules/grunt/bin/grunt
/usr/lib
└── grunt@1.0.1 
[root@cyj ~]# 
[root@cyj ~]# npm install -g grunt-cli --registry=https://registry.npm.taobao.org --no-proxy
/usr/bin/grunt -> /usr/lib/node_modules/grunt-cli/bin/grunt
/usr/lib
└─┬ grunt-cli@1.2.0 
  ├─┬ findup-sync@0.3.0 
  │ └─┬ glob@5.0.15 
  │   ├─┬ inflight@1.0.6 
  │   │ └── wrappy@1.0.2 
  │   ├── inherits@2.0.3 
  │   ├─┬ minimatch@3.0.4 
  │   │ └─┬ brace-expansion@1.1.8 
  │   │   ├── balanced-match@1.0.0 
  │   │   └── concat-map@0.0.1 
  │   ├── once@1.4.0 
  │   └── path-is-absolute@1.0.1 
  ├── grunt-known-options@1.1.0 
  ├─┬ nopt@3.0.6 
  │ └── abbrev@1.1.1 
  └── resolve@1.1.7 
[root@cyj ~]#  

（4）版本确认

[es@cyj ~]$ node -v
v6.12.0
[es@cyj ~]$ npm -v
3.10.10
[es@cyj ~]$ grunt -version
grunt-cli v1.2.0
[es@cyj ~]$

（5）下载head插件源码

[es@cyj ~]$ git clone git://github.com/mobz/elasticsearch-head.git
[es@cyj ~]$ cd elasticsearch-head
[es@cyj ~]$ npm install
[es@cyj ~]$ npm run start

3. 配置elasticsearch
（1）配置 ElasticSearch，使得HTTP对外提供服务

[es@cyj elasticsearch-6.4.2]$ vi config/elasticsearch.yml

添加如下内容

# 增加新的参数，这样head插件可以访问es。设置参数的时候:后面要有空格
http.cors.enabled: true
http.cors.allow-origin: "*"

Kibana插件

(1) 下载kibana插件
https://www.elastic.co/downloads/kibana

注意，ElasticSearch版本是6.4.2，kibana的版本必须对应，所以，此处下载kibana-6.4.2-linux-x86_64.tar.gz

[es@cyj ~]$ wget https://artifacts.elastic.co/downloads/kibana/kibana-6.4.2-linux-x86_64.tar.gz
--2018-01-06 04:30:47--  https://artifacts.elastic.co/downloads/kibana/kibana-6.4.2-linux-x86_64.tar.gz
Resolving artifacts.elastic.co (artifacts.elastic.co)... 184.73.156.41, 54.235.82.130, 184.72.218.26, ...
Connecting to artifacts.elastic.co (artifacts.elastic.co)|184.73.156.41|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 65947685 (63M) [application/x-gzip]
Saving to: ‘kibana-6.1.1-linux-x86_64.tar.gz’

100%[============================================================================================>] 65,947,685   190KB/s   in 16m 34s
2018-01-06 04:47:24 (64.8 KB/s) - ‘kibana-6.4.2-linux-x86_64.tar.gz’ saved [65947685/65947685]
[es@node1 ~]$ 

(2) 解压

[es@cyj ~]$ tar -zxvf kibana-6.4.2-linux-x86_64.tar.gz
[es@node1 ~]$ cd kibana-6.4.2-linux-x86_64
[es@node1 kibana-6.4.2-linux-x86_64]$

(3) 修改配置
修改kibana配置文件kibana.yml
需要修改的主要有三处

#设置kibana监听的端口
server.port: 5601
#设置kibana的地址
server.host: xxxx.xxxx.xxxx.xxxx
#设置elastcisearch的地址端口
elasticsearch.url: "http://xxxx.xxxx.xxxx.xxxx:9200"

(4) 启动kibana

[root@cyj kibana-6.4.2-linux-x86_64]# ./bin/kibana

(5) 浏览器访问http://xxxx.xxxx.xxxx.xxxx:5601

IK分词器插件

(1) 源码
https://github.com/medcl/elasticsearch-analysis-ik

(2) releases
https://github.com/medcl/elasticsearch-analysis-ik/releases
请下载对应elasticsearch版本的ik分词器

(3) 安装插件

[root@cyj elasticsearch]# ./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.4.1/elasticsearch-analysis-ik-6.4.1.zip
[root@cyj elasticsearch]# ll plugins/
total 4
drwxr-xr-x 2 root root 4096 Sep 20 17:16 analysis-ik
[root@cyj elasticsearch]#

(4) 测试IK中文分词器的基本功能

• ik_smart
  其中pretty本意”漂亮的”，表示以美观的形式打印出JSON格式响应。

GET _analyze?pretty
{
  "analyzer": "ik_smart",
  "text":"安徽省长江流域"
}

分词结果:

{
  "tokens": [
    {
      "token": "安徽省",
      "start_offset": 0,
      "end_offset": 3,
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "长江流域",
      "start_offset": 3,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 1
    }
  ]
}

• ik_max_word

GET _analyze?pretty
{
  "analyzer": "ik_max_word",
  "text": "安徽省长江流域"
}

分词结果：

{
  "tokens": [
    {
      "token": "安徽省",
      "start_offset": 0,
      "end_offset": 3,
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "安徽",
      "start_offset": 0,
      "end_offset": 2,
      "type": "CN_WORD",
      "position": 1
    },
    {
      "token": "省长",
      "start_offset": 2,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 2
    },
    {
      "token": "长江流域",
      "start_offset": 3,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 3
    },
    {
      "token": "长江",
      "start_offset": 3,
      "end_offset": 5,
      "type": "CN_WORD",
      "position": 4
    },
    {
      "token": "江流",
      "start_offset": 4,
      "end_offset": 6,
      "type": "CN_WORD",
      "position": 5
    },
    {
      "token": "流域",
      "start_offset": 5,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 6
    }
  ]
}