常规操作elasticSearch分词和安装分词器
分词：
POST _analyze
{
"analyzer": "standard",
"text": "Today is what sunny."
}
{
"tokens" : [
{
"token" : "today",
"start_offset" : 0,
"end_offset" : 5,
"type" : "",
"position" : 0
},
{
"token" : "is",
"start_offset" : 6,
"end_offset" : 8,
"type" : "",
"position" : 1
},
{
"token" : "what",
"start_offset" : 9,
"end_offset" : 13,
"type" : "",
"position" : 2
},
{
"token" : "sunny",
"start_offset" : 14,
"end_offset" : 19,
"type" : "",
"position" : 3
}
]
}
默认分词器针对英文：
POST _analyze
{
"analyzer": "standard",
"text": "我是中国人."
}
如下：中文词语没有分出
{
"tokens" : [
{
"token" : "我",
"start_offset" : 0,
"end_offset" : 1,
"type" : "",
"position" : 0
},
{
"token" : "是",
"start_offset" : 1,
"end_offset" : 2,
"type" : "",
"position" : 1
},
{
"token" : "中",
"start_offset" : 2,
"end_offset" : 3,
"type" : "",
"position" : 2
},
{
"token" : "国",
"start_offset" : 3,
"end_offset" : 4,
"type" : "",
"position" : 3
},
{
"token" : "人",
"start_offset" : 4,
"end_offset" : 5,
"type" : "",
"position" : 4
}
]
}
借助插件：ik分词器
下载ik分词器：
https://github.com/medcl/elasticsearch-analysis-ik/releases
下载zip文件后，解压，放置elasticsearch 目录下的plugins的文件中
把这个文件夹 授权
chmod -R 777 ik
进入容器（如果你是docker安装的es的话，非docker安装的直接跟着下一步走）
ik分词器是个插件哦 我们检查ik的安装情况：
找到 elasticsearch-plugin ：docker容器安装的此文件位置在：
/usr/share/elasticsearch/bin/elasticsearch-plugin
操作：
执行：elasticsearch-plugin 得到： Option Description ------ ----------- -h, --help show help -s, --silent show minimal output -v, --verbose show verbose output ERROR: Missing command [root@6a850788e223 bin]# elasticsearch-plugin -h A tool for managing installed elasticsearch plugins 查阅帮助文档： elasticsearch-plugin -h ommands -------- list - Lists installed elasticsearch plugins install - Install a plugin remove - removes a plugin from Elasticsearch 执行查看插件列表： [root@6a850788e223 bin]# elasticsearch-plugin list ik 通过运行结果得知：安装成功
安装完毕后，重启服务
测试ik分词器：
智能分词：POST _analyze
{
"analyzer": "ik_smart",
"text": "我是中国人."
}
结果：
{
"tokens" : [
{
"token" : "我",
"start_offset" : 0,
"end_offset" : 1,
"type" : "CN_CHAR",
"position" : 0
},
{
"token" : "是",
"start_offset" : 1,
"end_offset" : 2,
"type" : "CN_CHAR",
"position" : 1
},
{
"token" : "中国人",
"start_offset" : 2,
"end_offset" : 5,
"type" : "CN_WORD",
"position" : 2
}
]
}
最大单词组合：
POST _analyze
{
"analyzer": "ik_max_word",
"text": "我是中国人."
}
结果：
{
"tokens" : [
{
"token" : "我",
"start_offset" : 0,
"end_offset" : 1,
"type" : "CN_CHAR",
"position" : 0
},
{
"token" : "是",
"start_offset" : 1,
"end_offset" : 2,
"type" : "CN_CHAR",
"position" : 1
},
{
"token" : "中国人",
"start_offset" : 2,
"end_offset" : 5,
"type" : "CN_WORD",
"position" : 2
},
{
"token" : "中国",
"start_offset" : 2,
"end_offset" : 4,
"type" : "CN_WORD",
"position" : 3
},
{
"token" : "国人",
"start_offset" : 3,
"end_offset" : 5,
"type" : "CN_WORD",
"position" : 4
}
]
}
创建自定义分词：
附录：搞一个Nginx服务
docker run -p 80:80 --name nginx -d nginx:1.10 docker container cp nginx:/etc/nginx /mydata/nginx/conf docker stop nginx ：docker rm $ContainerId docker run -p 80:80 --name nginx1.10 -v /mydata/nginx1.10/html:/usr/share/nginx/html -v /mydata/nginx1.10/logs:/var/log/nginx -v /mydata/nginx1.10/conf:/etc/nginx -d nginx:1.10
在nginx服务目录 模拟放置分词资源
/mydata/nginx1.10/html/es [root@bogon es]# ls fenci.txt 赵一 钱二 孙三 李四
ik分词器的配置：
elasticsearch的plugins的ik目录中： config
[root@bogon ik]# pwd /mydata/elasticsearch/plugins/ik [root@bogon ik]# ls commons-codec-1.9.jar config httpclient-4.5.2.jar plugin-descriptor.properties commons-logging-1.2.jar elasticsearch-analysis-ik-7.4.2.jar httpcore-4.4.4.jar plugin-security.policy [root@bogon ik]# cd config/ [root@bogon config]# ls extra_main.dic extra_single_word_full.dic extra_stopword.dic main.dic quantifier.dic suffix.dic extra_single_word.dic extra_single_word_low_freq.dic IKAnalyzer.cfg.xml preposition.dic stopword.dic surname.dic 编辑配置文件： vim IKAnalyzer.cfg.xml
配置文件源文件：
IK Analyzer 扩展配置
修改远程配置分词：
IK Analyzer 扩展配置 http://192.168.31.125/es/fenci.txt
修改完毕保存 重启elasticSearch
[root@bogon config]# docker restart elasticsearch elasticsearch
测试ik分词器自定义分词：
POST _analyze
{
"analyzer": "ik_max_word",
"text": "赵一钱二孙三李四."
}
结果：
{
"tokens" : [
{
"token" : "赵一",
"start_offset" : 0,
"end_offset" : 2,
"type" : "CN_WORD",
"position" : 0
},
{
"token" : "一钱",
"start_offset" : 1,
"end_offset" : 3,
"type" : "CN_WORD",
"position" : 1
},
{
"token" : "一",
"start_offset" : 1,
"end_offset" : 2,
"type" : "TYPE_CNUM",
"position" : 2
},
{
"token" : "钱二",
"start_offset" : 2,
"end_offset" : 4,
"type" : "CN_WORD",
"position" : 3
},
{
"token" : "钱",
"start_offset" : 2,
"end_offset" : 3,
"type" : "COUNT",
"position" : 4
},
{
"token" : "二",
"start_offset" : 3,
"end_offset" : 4,
"type" : "TYPE_CNUM",
"position" : 5
},
{
"token" : "孙三",
"start_offset" : 4,
"end_offset" : 6,
"type" : "CN_WORD",
"position" : 6
},
{
"token" : "三",
"start_offset" : 5,
"end_offset" : 6,
"type" : "TYPE_CNUM",
"position" : 7
},
{
"token" : "李四",
"start_offset" : 6,
"end_offset" : 8,
"type" : "CN_WORD",
"position" : 8
},
{
"token" : "四",
"start_offset" : 7,
"end_offset" : 8,
"type" : "TYPE_CNUM",
"position" : 9
}
]
}
