ik分词器使用
#1 github下载相应版本 https://github.com/medcl/elasticsearch-analysis-ik/releases?after=v7.5.2 # 2 解压到es的plugin目录下 # 3 重启es # ik_max_word 和 ik_smart 什么区别? ik_max_word: 会将文本做最细粒度的拆分,比如会将“中华人民共和国国歌”拆分为“中华人民共和国,中华人民,中华,华人,人民共和国,人民,人,民,共和国,共和,和,国国,国歌”,会穷尽各种可能的组合,适合 Term Query; ik_smart: 会做最粗粒度的拆分,比如会将“中华人民共和国国歌”拆分为“中华人民共和国,国歌”,适合 Phrase 查询。 PUT books { "mappings": { "properties":{ "title":{ "type":"text", "analyzer": "ik_max_word" }, "price":{ "type":"integer" }, "addr":{ "type":"keyword" }, "company":{ "properties":{ "name":{"type":"text"}, "company_addr":{"type":"text"}, "employee_count":{"type":"integer"} } }, "publish_date":{"type":"date","format":"yyy-MM-dd"} } } } PUT books/_doc/1 { "title":"大头儿子小偷爸爸", "price":100, "addr":"北京天安门", "company":{ "name":"我爱北京天安门", "company_addr":"我的家在东北松花江傻姑娘", "employee_count":10 }, "publish_date":"2019-08-19" } PUT books/_doc/2 { "title":"白雪公主和十个小矮人", "price":"99", "addr":"黑暗森里", "company":{ "name":"我的家乡在上海", "company_addr":"朋友一生一起走", "employee_count":10 }, "publish_date":"2018-05-19" } GET books/_mapping GET _analyze { "analyzer": "ik_max_word", "text": "白雪公主和十个小矮人" } GET books/_search { "query": { "match": { "title": "十" } } } PUT books2 { "mappings": { "properties":{ "title":{ "type":"text", "analyzer": "ik_smart" }, "price":{ "type":"integer" }, "addr":{ "type":"keyword" }, "company":{ "properties":{ "name":{"type":"text"}, "company_addr":{"type":"text"}, "employee_count":{"type":"integer"} } }, "publish_date":{"type":"date","format":"yyy-MM-dd"} } } } PUT books2/_doc/1 { "title":"大头儿子小偷爸爸", "price":100, "addr":"北京天安门", "company":{ "name":"我爱北京天安门", "company_addr":"我的家在东北松花江傻姑娘", "employee_count":10 }, "publish_date":"2019-08-19" } PUT books2/_doc/2 { "title":"白雪公主和十个小矮人", "price":"99", "addr":"黑暗森里", "company":{ "name":"我的家乡在上海", "company_addr":"朋友一生一起走", "employee_count":10 }, "publish_date":"2018-05-19" } GET _analyze { "analyzer": "ik_smart", "text": "白雪公主和十个小矮人" } GET books2/_search { "query": { "match": { "title": "十个" } } }