Elasticsearch下安装IK中文分词器

Stanley Sun

发布于 2019-09-23 15:21:15

5650

发布于 2019-09-23 15:21:15

文章被收录于专栏：思考是一种快乐

环境：elasticsearch版本是5.5.2，其所在目录为/usr/local/elasticsearch-5.5.2

下载

curl -L -O https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v5.5.2/elasticsearch-analysis-ik-5.5.2.zip

解压到 /usr/local/elasticsearch-5.5.2/plugins/ , 目录结构如下

├── plugins
│   └── elasticsearch-analysis-ik
│       ├── commons-codec-1.9.jar
│       ├── commons-logging-1.2.jar
│       ├── config
│       │   ├── extra_main.dic
│       │   ├── extra_single_word.dic
│       │   ├── extra_single_word_full.dic
│       │   ├── extra_single_word_low_freq.dic
│       │   ├── extra_stopword.dic
│       │   ├── IKAnalyzer.cfg.xml
│       │   ├── main.dic
│       │   ├── preposition.dic
│       │   ├── quantifier.dic
│       │   ├── stopword.dic
│       │   ├── suffix.dic
│       │   └── surname.dic
│       ├── elasticsearch-analysis-ik-5.5.2.jar
│       ├── httpclient-4.5.2.jar
│       ├── httpcore-4.4.4.jar
│       └── plugin-descriptor.properties

重启 elasticsearch
测试

分别用下面两种方式检查一下分词效果

ik_max_word分词法

GET _analyze
{
  "analyzer":"ik_max_word",
  "text":"中华人民共和国国歌"
}

结果

{
  "tokens": [
    {
      "token": "中华人民共和国",
      "start_offset": 0,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "中华人民",
      "start_offset": 0,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 1
    },
    {
      "token": "中华",
      "start_offset": 0,
      "end_offset": 2,
      "type": "CN_WORD",
      "position": 2
    },
    {
      "token": "华人",
      "start_offset": 1,
      "end_offset": 3,
      "type": "CN_WORD",
      "position": 3
    },
    {
      "token": "人民共和国",
      "start_offset": 2,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 4
    },
    {
      "token": "人民",
      "start_offset": 2,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 5
    },
    {
      "token": "共和国",
      "start_offset": 4,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 6
    },
    {
      "token": "共和",
      "start_offset": 4,
      "end_offset": 6,
      "type": "CN_WORD",
      "position": 7
    },
    {
      "token": "国",
      "start_offset": 6,
      "end_offset": 7,
      "type": "CN_CHAR",
      "position": 8
    },
    {
      "token": "国歌",
      "start_offset": 7,
      "end_offset": 9,
      "type": "CN_WORD",
      "position": 9
    }
  ]
}

智能分词法

GET _analyze
{
  "analyzer":"ik_smart",
  "text":"中华人民共和国国歌"
}

结果

{
  "tokens": [
    {
      "token": "中华人民共和国",
      "start_offset": 0,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "国歌",
      "start_offset": 7,
      "end_offset": 9,
      "type": "CN_WORD",
      "position": 1
    }
  ]
}

修改 Mapping中text类型的字段定义

...
"title": {
          "type": "text",
          "analyzer": "ik_max_word",
          "search_analyzer": "ik_max_word",
          "include_in_all": "true"
        },
...