1.term查询 { " query " : { " term " : { " title " : " crime " } }} 1.1.指定权重 { " query " : { " term " : { " title " : { " value " : " crime " , " boost " : 10.0 } } }} 1.2.多term查询查询tags中包含novel或book { " query " :
1.term查询
{ "query": { "term": { "title": "crime" } } }
1.1.指定权重
{ "query": { "term": { "title": { "value":"crime", "boost":10.0 } } } }
1.2.多term查询查询tags中包含novel或book
{ "query": { "terms": { "tags": ["novel","book"] } } }
2.常用词查询
2.1.cutoff_frequency查询低于这个概率的词将
{ "query": { "common": { "title":{ "query":"crime and punishment", "cutoff_frequency":0.001 } } } }
2.2.match查询( 不支持lucene查询语法,分词后再查询 )
查询title包含crime或and或punishment的文档
{ "query": { "match": { "title": "crime and punishment" } } }
2.3.operator操作符
要求and或者or匹配文本的分词
{ "query": { "match": { "title": { "query":"crime and punishment", "operator":"and" } } } }
2.4.短语查询
{ "query": { "match_phrase": { "title": { "query":"crime punishment", "slop":1 } } } }
2.5.前缀查询
对查询关键词的最后一个词条做前缀匹配
{ "query": { "match_phrase_prefix": { "title": { "query":"crime punish", "slop":1, "max_expansions":20 } } } }
2.6.multi_match( 针对多个字段查询 )
{ "query": { "multi_match": { "query":"crime heller", "fields":["title","author"] } } }
3.query_string查询( 支持lucene的查询语法 )
3.1复合语法查询
title字段包含crime,且权重为10,也要包含punishment,但是otitle不包含cat,同事author字段包含Fyodor和dostoevsky。
{ "query": { "query_string": { "query":"title:crime^10 +title:punishment -otitle:cat +author:(+Fyodor +dostoevsky)", "default_field":"title" } } }
3.2.针对多字段查询
use_dis_max使用最大分查询,max指对于给定的关键词,只有最高分才会包括在最后的文档的评分中,而不是所有包含该词条的所有字段分数之和。
{ "query": { "query_string": { "query":"crime heller", "fields":["title","author"], "use_dis_max":true } } }
3.3.simple_query_string查询
解析出错时不抛异常,丢弃查询无效的部分
{ "query": { "simple_query_string": { "query":"title:crime^10 +title:punishment -otitle:cat +author:(+Fyodor +dostoevsky)", "default_operator":"or" } } }
3.4.标识符查询
{ "query": { "ids": { "type":"book", "values":["1","2","3"] } } }
3.4.前缀查询
前缀匹配给定的关键词
{ "query": { "prefix": { "title":"cri" } } }
指定权重
{ "query": { "prefix": { "title":{ "value":"cri", "boost":3.0 } } } }
3.5.fuzzy模糊查询
使用编辑距离的模糊查询,计算量较大,但是对用户拼写错的场景比较有用
{ "query": { "fuzzy": { "title":"crme" } } }
指定最小相似度偏差
{ "query": { "fuzzy": { "title":{ "value":"crme", "min_similarity":1 } } } }
3.6.通配符查询
支持*和?等通配符
{ "query": { "wildcard": { "title": "cr?me" } } }
3.7.范围查询
只能针对单个字段,可以是数值型的,也可以是基于字符串的。
{ "query": { "range": { "year": { "gte" :1890, "lte":1900 } } } }
3.8.正则表达式查询
查询性能取决于正则表达式
{ "query": { "regexp": { "title": { "value" :"cr.m[ae]", "boost":10.0 } } } }
4.布尔查询( 组合查询 )
{ "query": { "bool": { "must": { "term": { "title": "crime" } }, "should": { "range": { "year": { "from": 1900, "to": 2000 } } }, "must_not": { "term": { "otitle": "nothing" } } } } }