IK word breaker

1、IK There are two kinds of word segmentation modes in word segmentation ：ik_max_word and ik_smart Pattern .

        【1】ik_max_word ( Commonly used ) Will do the most fine-grained text splitting

POST _analyze
{
  "analyzer": "ik_max_word",
  "text": " Beijing Changchun bridge subway station "
}

        

         【2】ik_smart Will do the most coarse-grained resolution

 

POST _analyze
{
  "analyzer": "ik_smart",
  "text": " Beijing Changchun bridge subway station "
}

        

2、 Extended dictionary use

          Extended words are words that don't want to be separated , Let them form a group , For example, Changchun bridge

        1、 Custom extended Thesaurus

        Enter into config/analysis-ik（ Plug in installation mode ） or /usr/elasticsearch/plugins/analysis-ik/config/ Add a user-defined dictionary under the directory

        vi cc_ext_dict.dic Input ： Changchun bridge

        

         2、 Add a custom extended dictionary file to IKAnalyzer.cfg.xml Configuration in progress

                vi IKAnalyzer.cfg.xml

                

        3、 restart es

                /usr/elasticsearch/bin/elasticsearch

3、 Disable dictionary use

        Stop words are frequently used in text , But it doesn't have much impact on semantics , For example, Chinese “ Of 、 Oh 、 了 、 Well ” etc. , These words are called stop words . It is often filtered out and not indexed

        1、 Custom stop Thesaurus

         Enter into config/analysis-ik（ Plug in installation mode ） or /usr/elasticsearch/plugins/analysis-ik/config/ Add a user-defined dictionary under the directory

        vi cc_stop_dict.dic Input   Of 、 Oh 、 了 、 Well

        

        2、 Add to IKAnalyzer.cfg.xml Configuration in progress

        

        3、 restart es

                /usr/elasticsearch/bin/elasticsearch

 4、 Synonyms use

        Words with the same meaning , When searching, you should also find out , such as “ Steamed bread ” and “ Steamed bread ”, This situation is called synonym query

        Be careful ： Extension words and stop words are used in indexing , Synonyms are the time of retrieval

        1、 establish synonym.txt

                vi synonym.txt  Enter synonyms

                

        2、 restart es

                /usr/elasticsearch/bin/elasticsearch

        3、 Use is to specify synonym.text

                The prefix path is ：/usr/elasticsearch/config/ 

                analysis: Create a directory for yourself

                

PUT /cc003
{
  "settings": {
    "analysis": {
      "filter": {
        "word_sync": {
          "type": "synonym",
          "synonyms_path": "analysis/synonym.txt"
        }
      },
      "analyzer": {
        "ik_sync_max_word": {
          "filter": [
            "word_sync"
          ],
          "type": "custom",
          "tokenizer": "ik_max_word"
        },"ik_sync_smart": {
          "filter": [
            "word_sync"
          ],
          "type": "custom",
          "tokenizer": "ik_smart"
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "analyzer": "ik_sync_max_word",
        "search_analyzer": "ik_sync_max_word"
      }
    }
  }
}

        4、 Add content

POST /cc003/_doc/1
{
  "name":" What do you call steamed bread "
}

        5、 Inquire about

POST /cc003/_doc/_search
{
  "query":{
    "match":{
      "name": " Steamed bread "
    }
  }
}