ElasticSearch安装ik分词器

1、查看es版本

        直接请求9200端口可以查到基本信息

2、获取插件

https://github.com/medcl/elasticsearch-analysis-ik/releases

下载对应版本的插件zip文件

3、安装

        在es安装目录中bin二进制文件目录中执行安装命令

./elasticsearch-plugin install file:///home/manshow/elasticsearch-analysis-ik-8.7.0.zip 

   

 4、重启es

systemctl restart elasticsearch

 5、验证

    建立一个测试索引：

curl -XPUT http://localhost:9200/test

普通分词器： 

curl -H "Content-Type: application/json" -XPOST  'http://localhost:9200/test/_analyze?pretty' -d '{"text":"我们都练习了两年半，是真ikun"}'
 
返回：
{
  "tokens" : [
    {
      "token" : "我",
      "start_offset" : 0,
      "end_offset" : 1,
      "type" : "<IDEOGRAPHIC>",
      "position" : 0
    },
    {
      "token" : "们",
      "start_offset" : 1,
      "end_offset" : 2,
      "type" : "<IDEOGRAPHIC>",
      "position" : 1
    },
    {
      "token" : "都",
      "start_offset" : 2,
      "end_offset" : 3,
      "type" : "<IDEOGRAPHIC>",
      "position" : 2
    },
    {
      "token" : "练",
      "start_offset" : 3,
      "end_offset" : 4,
      "type" : "<IDEOGRAPHIC>",
      "position" : 3
    },
    {
      "token" : "习",
      "start_offset" : 4,
      "end_offset" : 5,
      "type" : "<IDEOGRAPHIC>",
      "position" : 4
    },
    {
      "token" : "了",
      "start_offset" : 5,
      "end_offset" : 6,
      "type" : "<IDEOGRAPHIC>",
      "position" : 5
    },
    {
      "token" : "两",
      "start_offset" : 6,
      "end_offset" : 7,
      "type" : "<IDEOGRAPHIC>",
      "position" : 6
    },
    {
      "token" : "年",
      "start_offset" : 7,
      "end_offset" : 8,
      "type" : "<IDEOGRAPHIC>",
      "position" : 7
    },
    {
      "token" : "半",
      "start_offset" : 8,
      "end_offset" : 9,
      "type" : "<IDEOGRAPHIC>",
      "position" : 8
    },
    {
      "token" : "是",
      "start_offset" : 10,
      "end_offset" : 11,
      "type" : "<IDEOGRAPHIC>",
      "position" : 9
    },
    {
      "token" : "真",
      "start_offset" : 11,
      "end_offset" : 12,
      "type" : "<IDEOGRAPHIC>",
      "position" : 10
    },
    {
      "token" : "ikun",
      "start_offset" : 12,
      "end_offset" : 16,
      "type" : "<ALPHANUM>",
      "position" : 11
    }
  ]
}

ik分词器

curl -H "Content-Type: application/json" -XPOST  'http://localhost:9200/test/_analyze?pretty' -d '{"text":"我们都练习了两年半，是真ikun","tokenizer":"ik_max_word"}'
 
返回：
{
  "tokens" : [
    {
      "token" : "我们",
      "start_offset" : 0,
      "end_offset" : 2,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "都",
      "start_offset" : 2,
      "end_offset" : 3,
      "type" : "CN_CHAR",
      "position" : 1
    },
    {
      "token" : "练习",
      "start_offset" : 3,
      "end_offset" : 5,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "了",
      "start_offset" : 5,
      "end_offset" : 6,
      "type" : "CN_CHAR",
      "position" : 3
    },
    {
      "token" : "两年",
      "start_offset" : 6,
      "end_offset" : 8,
      "type" : "CN_WORD",
      "position" : 4
    },
    {
      "token" : "两",
      "start_offset" : 6,
      "end_offset" : 7,
      "type" : "COUNT",
      "position" : 5
    },
    {
      "token" : "年半",
      "start_offset" : 7,
      "end_offset" : 9,
      "type" : "CN_WORD",
      "position" : 6
    },
    {
      "token" : "是",
      "start_offset" : 10,
      "end_offset" : 11,
      "type" : "CN_CHAR",
      "position" : 7
    },
    {
      "token" : "真",
      "start_offset" : 11,
      "end_offset" : 12,
      "type" : "CN_CHAR",
      "position" : 8
    },
    {
      "token" : "ikun",
      "start_offset" : 12,
      "end_offset" : 16,
      "type" : "ENGLISH",
      "position" : 9
    }
  ]
}

6、使用IK分词器创建索引格式

PUT请求		http://localhost:9200/books
 
请求参数如下（注意是json格式的参数）
{
    "mappings":{							#定义mappings属性，替换创建索引时对应的mappings属性	
        "properties":{						#定义索引中包含的属性设置
            "id":{							#设置索引中包含id属性
                "type":"keyword"			#当前属性可以被直接搜索
            },
            "name":{						#设置索引中包含name属性
                "type":"text",              #当前属性是文本信息，参与分词  
                "analyzer":"ik_max_word",   #使用IK分词器进行分词             
                "copy_to":"all"				#分词结果拷贝到all属性中
            },
            "type":{
                "type":"keyword"
            },
            "description":{
                "type":"text",	                
                "analyzer":"ik_max_word",                
                "copy_to":"all"
            },
            "all":{							#定义属性，用来描述多个字段的分词结果集合，当前属性可以参与查询
                "type":"text",	                
                "analyzer":"ik_max_word"
            }
        }
    }
}