Windows平台下安装ElasticSearch7.2并集成ik和拼音分词器

冷不防 2021-11-05 03:06 306阅读 0赞

###    ###

1.ElasticSearch的安装以及配置ik和pinyin分词器

>        自己选择自己需要的版本
> 
>        ElasticSearch下载地址：[https://www.elastic.co/cn/downloads/past-releases\#elasticsearch][https_www.elastic.co_cn_downloads_past-releases_elasticsearch]
> 
>        IK分词器下载地址 ：[https://github.com/medcl/elasticsearch-analysis-ik/releases][https_github.com_medcl_elasticsearch-analysis-ik_releases]
> 
>        pinyin分词器下载地址 ：[https://github.com/medcl/elasticsearch-analysis-pinyin/release][https_github.com_medcl_elasticsearch-analysis-pinyin_release]
> 
>        kabana下载地址 ： [https://www.elastic.co/cn/downloads/past-releases\#kibana][https_www.elastic.co_cn_downloads_past-releases_kibana]

接下来就是把ik和pinyin分词器配置到ElasticSearch中

>         首先把这两个压缩包解压一下
> 
>         复制到ElasticSearch目录下的plugins
> 
>         并且把这两个文件夹名改成ik和pinyin

已经配好的如下图所示

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 1][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 2][]

然后启动测试一下，是否成功加载这两个分词插件

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 3][]

可以看到ik和pinyin分词器已经成功加载了

直接把kabana解压，启动好之后测试一下这两个分词器是否有效果

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 4][]

看到这个说明kabana已经启动好了:localhost:5601访问测试一下

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 5][]

选择开发工具，为什么我是中文的？那是因为你没有配kibana.yml，7.x版本已经支持国际化了

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 6][]

IK有两种分词器，ik\_max\_word和ik\_smart

ik\_max\_word:最细粒度的进行分词

ik\_smart:最粗粒度的分词

废话不多说，直接测试

>  GET /\_analyze  
> \{  
>   "text": "中华人民共和国",  
>   "analyzer": "ik\_max\_word"  
> \}

返回值

> \{  
>   "tokens" : \[  
>     \{  
>       "token" : "中华人民共和国",  
>       "start\_offset" : 0,  
>       "end\_offset" : 7,  
>       "type" : "CN\_WORD",  
>       "position" : 0  
>     \},  
>     \{  
>       "token" : "中华人民",  
>       "start\_offset" : 0,  
>       "end\_offset" : 4,  
>       "type" : "CN\_WORD",  
>       "position" : 1  
>     \},  
>     \{  
>       "token" : "中华",  
>       "start\_offset" : 0,  
>       "end\_offset" : 2,  
>       "type" : "CN\_WORD",  
>       "position" : 2  
>     \},  
>     \{  
>       "token" : "华人",  
>       "start\_offset" : 1,  
>       "end\_offset" : 3,  
>       "type" : "CN\_WORD",  
>       "position" : 3  
>     \},  
>     \{  
>       "token" : "人民共和国",  
>       "start\_offset" : 2,  
>       "end\_offset" : 7,  
>       "type" : "CN\_WORD",  
>       "position" : 4  
>     \},  
>     \{  
>       "token" : "人民",  
>       "start\_offset" : 2,  
>       "end\_offset" : 4,  
>       "type" : "CN\_WORD",  
>       "position" : 5  
>     \},  
>     \{  
>       "token" : "共和国",  
>       "start\_offset" : 4,  
>       "end\_offset" : 7,  
>       "type" : "CN\_WORD",  
>       "position" : 6  
>     \},  
>     \{  
>       "token" : "共和",  
>       "start\_offset" : 4,  
>       "end\_offset" : 6,  
>       "type" : "CN\_WORD",  
>       "position" : 7  
>     \},  
>     \{  
>       "token" : "国",  
>       "start\_offset" : 6,  
>       "end\_offset" : 7,  
>       "type" : "CN\_CHAR",  
>       "position" : 8  
>     \}  
>   \]  
> \}

pinyin分词测试，pinyin只有pinyin一种分词器,

> GET /\_analyze  
> \{  
>   "text": "中华人民共和国",  
>   "analyzer": "pinyin"  
> \}

返回值

> \{  
>   "tokens" : \[  
>     \{  
>       "token" : "zhong",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 0  
>     \},  
>     \{  
>       "token" : "zhrmghg",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 0  
>     \},  
>     \{  
>       "token" : "hua",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 1  
>     \},  
>     \{  
>       "token" : "ren",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 2  
>     \},  
>     \{  
>       "token" : "min",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 3  
>     \},  
>     \{  
>       "token" : "gong",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 4  
>     \},  
>     \{  
>       "token" : "he",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 5  
>     \},  
>     \{  
>       "token" : "guo",  
>       "start\_offset" : 0,  
>       "end\_offset" : 0,  
>       "type" : "word",  
>       "position" : 6  
>     \}  
>   \]  
> \}

[https_www.elastic.co_cn_downloads_past-releases_elasticsearch]: https://www.elastic.co/cn/downloads/past-releases#elasticsearch
[https_github.com_medcl_elasticsearch-analysis-ik_releases]: https://github.com/medcl/elasticsearch-analysis-ik/releases
[https_github.com_medcl_elasticsearch-analysis-pinyin_release]: https://github.com/medcl/elasticsearch-analysis-pinyin/releases
[https_www.elastic.co_cn_downloads_past-releases_kibana]: https://www.elastic.co/cn/downloads/past-releases#kibana
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70]: /images/20211104/147410537c654a8c8f7fbd6c460397cb.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 1]: /images/20211104/4a3112e43d0f4d2188d294d4302ba230.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 2]: /images/20211104/9c4f1cb38cfd40c3bba7940ede03555d.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 3]: /images/20211104/361803bbd9984acf88d45d44c81532bf.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 4]: /images/20211104/c759c5ae5754442abc7747b74a94c188.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 5]: /images/20211104/53b493b1993f4c269502c476ec413939.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwOTcxNzUy_size_16_color_FFFFFF_t_70 6]: /images/20211104/a712b67538a2476c8f6da784c566fdf3.png