Elasticsearch的开源中文分词器 IK Analysis.zip

IK中文分词器在Elasticsearch上的使用。原生IK中文分词是从文件系统中读取词典，es-ik本身可扩展成从不同的源读取词典。目前提供从sqlite3数据库中读取。es-ik-plugin-sqlite3使用方法： 1. 在elasticsearch.yml中设置你的sqlite3词典的位置：ik_analysis_db_path: /opt/ik/dictionary.db 我提供了默认的词典：https://github.com/zacker330/es-ik-sqlite3-dictionary 2. 安装（目前是1.0.1版本）./bin/plugin -i ik-analysis -u https://github.com/zacker330/es-ik-plugin-sqlite3-release/raw/master/es-ik-sqlite3-1.0.1.zip 3. 现在可以测试了：     1. 创建index curl -X PUT -H "Cache-Control: no-cache" -d '{     "settings":{         "index":{             "number_of_shards":1,             "number_of_replicas": 1         }     } }' 'http://localhost:9200/songs/'      2. 创建map: curl -X PUT -H "Cache-Control: no-cache" -d '{         "song": {             "_source": {"enabled": true},             "_all": {                 "indexAnalyzer": "ik_analysis",                 "searchAnalyzer": "ik_analysis",                 "term_vector": "no",                 "store": "true"             },             "properties":{                 "title":{                     "type": "string",                     "store": "yes",                     "indexAnalyzer": "ik_analysis",                     "searchAnalyzer": "ik_analysis",                     "include_in_all": "true"                 }             }         } }     ' 'http://localhost:9200/songs/_mapping/song'       3.curl -X POST  -d '林夕为我们作词' 'http://localhost:9200/songs/_analyze?analyzer=ik_analysis' response: {"tokens":[{"token":"林夕","start_offset":0,"end_offset":2,"type":"CN_WORD","position":1},{"token":"作词","start_offset":5,"end_offset":7,"type":"CN_WORD","position":2}]} 标签：中文分词  分词插件