elasticsearch-analysis-ik

elasticsearch-analysis-ik


一、elasticsearch-analysis-ik的安装与配置
下载插件elasticsearch-analysis-ik并安装

源码地址：
https://github.com/medcl/elasticsearch-analysis-ik


在ES的配置文件config/elasticsearch.yml中增加ik的配置，在最后增加：
index:  
  analysis:                     
    analyzer:        
      ik:  
          alias: [ik_analyzer]  
          type: org.elasticsearch.index.analysis.IkAnalyzerProvider  
      ik_max_word:  
          type: ik  
          use_smart: false  
      ik_smart:  
          type: ik  
          use_smart: true  

或
index.analysis.analyzer.ik.type : “ik” 

二、词库的配置
IKAnalyzer.cfg.xml的位置可能在如下目录
{conf}/analysis-ik/config/IKAnalyzer.cfg.xml 
{plugins}/elasticsearch-analysis-ik-*/config/IKAnalyzer.cfg.xml


按照如下说明修改：
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
    <comment>IK Analyzer 扩展配置</comment>
    <!--用户可以在这里配置自己的扩展字典 -->
    <entry key="ext_dict">custom/mydict.dic;custom/single_word_low_freq.dic</entry>
     <!--用户可以在这里配置自己的扩展停止词字典-->
    <entry key="ext_stopwords">custom/ext_stopword.dic</entry>
    <!--用户可以在这里配置远程扩展字典 -->
    <entry key="remote_ext_dict">location</entry>
    <!--用户可以在这里配置远程扩展停止词字典-->
    <entry key="remote_ext_stopwords">http://xxx.com/xxx.dic</entry>
</properties>


三、使用

curl -XPOST http://localhost:9200/index/fulltext/_mapping -d'
{
    "fulltext": {
             "_all": {
            "analyzer": "ik_max_word",
            "search_analyzer": "ik_max_word",
            "term_vector": "no",
            "store": "false"
        },
        "properties": {
            "content": {
                "type": "text",
                "analyzer": "ik_max_word",
                "search_analyzer": "ik_max_word",
                "include_in_all": "true",
                "boost": 8
            }
        }
    }
}'


查询
curl -XPOST http://localhost:9200/index/fulltext/_search  -d'
{
    "query" : { "match" : { "content" : "中国" }},
    "highlight" : {
        "pre_tags" : ["<tag1>", "<tag2>"],
        "post_tags" : ["</tag1>", "</tag2>"],
        "fields" : {
            "content" : {}
        }
    }
}
'