1 安裝elasticsearch-analysis-ik中文分詞器
ik介紹：ik是一款中文的分詞插件，支持自定義詞庫。
1.1 下載ik分詞器
下載地址：https://github.com/medcl/elasticsearch-analysis-ik/releases
下載指定版本的分詞器（zip版本）
1.2 解壓ik分詞器
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
[es@bigdata1 plugins]$ cd /home/es/[es@bigdata1 ~]$ lselasticsearch-6.2.2 jdk1.8.0_161 kibana-6.2.2-linux-x86_64.tar.gzelasticsearch-6.2.2.tar.gz jdk-8u161-linux-x64.tar.gz logstash-6.2.2.tar.gzelasticsearch-analysis-ik-6.2.2.zip kibana-6.2.2-linux-x86_64[es@bigdata1 ~]$ unzip elasticsearch-analysis-ik-6.2.2.zip archive: elasticsearch-analysis-ik-6.2.2.zip creating: elasticsearch/ inflating: elasticsearch/elasticsearch-analysis-ik-6.2.2.jar inflating: elasticsearch/httpclient-4.5.2.jar inflating: elasticsearch/httpcore-4.4.4.jar inflating: elasticsearch/commons-logging-1.2.jar inflating: elasticsearch/commons-codec-1.9.jar inflating: elasticsearch/plugin-descriptor.properties creating: elasticsearch/config/ inflating: elasticsearch/config/extra_single_word_full.dic inflating: elasticsearch/config/quantifier.dic inflating: elasticsearch/config/ikanalyzer.cfg.xml inflating: elasticsearch/config/main.dic inflating: elasticsearch/config/extra_single_word_low_freq.dic inflating: elasticsearch/config/extra_stopword.dic inflating: elasticsearch/config/preposition.dic inflating: elasticsearch/config/extra_main.dic inflating: elasticsearch/config/extra_single_word.dic inflating: elasticsearch/config/suffix.dic inflating: elasticsearch/config/surname.dic inflating: elasticsearch/config/stopword.dic [es@bigdata1 ~]$ lselasticsearch elasticsearch-analysis-ik-6.2.2.zip kibana-6.2.2-linux-x86_64elasticsearch-6.2.2 jdk1.8.0_161 kibana-6.2.2-linux-x86_64.tar.gzelasticsearch-6.2.2.tar.gz jdk-8u161-linux-x64.tar.gz logstash-6.2.2.tar.gz[es@bigdata1 ~]$ mv elasticsearch/* ./elasticsearch-6.2.2/plugins/ik/[es@bigdata1 ~]$ vim ./elasticsearch-6.2.2/config/elasticsearch.yml |
1.3 重新啟動elasticsearch服務
ps -ef | grep elasticsearch
然后kill掉相關的進程。
然后按照18.8的方式啟動elasticsearch進程
1.4 然后執行以下命令
|
1
2
3
4
5
|
get _analyze { "analyzer":"ik_smart", "text":"2018年5月全球編程語言排行榜"} |
運行結果是：
{
"tokens": [
{
"token": "2018年",
"start_offset": 0,
"end_offset": 5,
"type": "type_cquan",
"position": 0
},
{
"token": "5月",
"start_offset": 5,
"end_offset": 7,
"type": "type_cquan",
"position": 1
},
{
"token": "全球",
"start_offset": 7,
"end_offset": 9,
"type": "cn_word",
"position": 2
},
{
"token": "編程",
"start_offset": 9,
"end_offset": 11,
"type": "cn_word",
"position": 3
},
{
"token": "語言",
"start_offset": 11,
"end_offset": 13,
"type": "cn_word",
"position": 4
},
{
"token": "排行榜",
"start_offset": 13,
"end_offset": 16,
"type": "cn_word",
"position": 5
}
]
}
kibana的效果圖
總結
以上就是這篇文章的全部內容了，希望本文的內容對大家的學習或者工作具有一定的參考學習價值，謝謝大家對服務器之家的支持。如果你想了解更多相關內容請查看下面相關鏈接
原文鏈接：https://blog.csdn.net/tototuzuoquan/article/details/80782476
