1. 根据经纬度查询
(1) geo_bounding_box: 查询geo_point值落在某个矩形范围内的文档
get /hotel/_search
{"query":{"geo_bounding_box": {"location":{"top_left":{"lat":33.01,"lon":35.36},"bottom_right":{"lat":37.2,"lon":31.36}}}}
}
2 相关性算分
复合查询：将简单查询进行组合，实现更复杂的搜索逻辑，例如：function score: 算分函数查询，可以控制文档相关性算分，控制文档排名，例如百度竞价
使用，function score query,修改文档的相关性算分，根据新得到的算分排序。
get /hotel/_search
{"query":{"function_score": {"query":{"match": {"brand": "四季"}},"functions": [{//过来条件，符合条件的文档才会被重新算分"filter":{"term": {"id": "3"}},//算分函数"weight": 8}],//加权模式"boost_mode": "multiply"}}
}
(1) "query":{"match": {"brand": "四季"}}：原始查询条件，搜索文档并根据相关性打分.
(2) "filter":{"term": { "id": "3"}}：过滤条件，符合条件的文档才会被重新算分
(3) "weight":10, 算分函数，算分函数的结果称为function score,将来会与query score运算，得到新算分，常见的算分函数有：weight: 给一个常量值，作为函数结果field_value_factor: 用文档中的某个字段值作为结果random_score: 随机生成一个值，作为函数结果script_score: 自定义计算公式，公式结果作为函数结果
(4) "boost_mode": "multiply"，加权模式，定义function score与query score的运算方式，例如：multiply（默认值，表示两者相乘）
{"took" : 6,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 1,"relation" : "eq"},"max_score" : 9.631783,"hits" : [{"_index" : "hotel","_type" : "_doc","_id" : "3","_score" : 9.631783,"_source" : {"address" : "洪武北路1号","brand" : "四季","business" : "新街口商圈","city" : "南京市玄武区","id" : 3,"location" : "33.35,131.36","name" : "四季","pic" : "http://www.bai.com/images/7.png","price" : 489,"score" : 8,"starName" : "3星"}}]}
}
