安装elasticsearch-analysis-ik中文分词器的步骤讲解

飞奔的炮台

今天小编就为大家分享一篇关于安装elasticsearch-analysis-ik中文分词器的步骤讲解，小编觉得内容挺不错的，现在分享给大家，具有很好的参考价值，需要的朋友一起跟随小编来看看吧
1 安装elasticsearch-analysis-ik中文分词器
ik介绍：ik是一款中文的分词插件，支持自定义词库。
1.1 下载ik分词器
下载地址：https://github.com/medcl/elasticsearch-analysis-ik/releases
下载指定版本的分词器（zip版本）
1.2 解压ik分词器

[es@bigdata1 plugins]$ cd /home/es/
[es@bigdata1 ~]$ ls
elasticsearch-6.2.2     jdk1.8.0_161    kibana-6.2.2-linux-x86_64.tar.gz
elasticsearch-6.2.2.tar.gz    jdk-8u161-linux-x64.tar.gz logstash-6.2.2.tar.gz
elasticsearch-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 ~]$ ls
elasticsearch    elasticsearch-analysis-ik-6.2.2.zip kibana-6.2.2-linux-x86_64
elasticsearch-6.2.2   jdk1.8.0_161       kibana-6.2.2-linux-x86_64.tar.gz
elasticsearch-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 重新启动elasticsearch服务

ps -ef | grep elasticsearch
然后kill掉相关的进程。
然后按照18.8的方式启动elasticsearch进程

1.4 然后执行以下命令

get _analyze 
{ 
 "analyzer":"ik_smart", 
 "text":"2018年5月全球编程语言排行榜"
}

运行结果是：

{
  "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": "编程",
    "start_offset": 9,
    "end_offset": 11,
    "type": "cn_word",
    "position": 3
  },
  {
    "token": "语言",
    "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的效果图

总结
以上就是这篇文章的全部内容了，希望本文的内容对大家的学习或者工作具有一定的参考学习价值，谢谢大家对CodeAE代码之家的支持。如果你想了解更多相关内容请查看下面相关链接
原文链接：https://blog.csdn.net/tototuzuoquan/article/details/80782476