带有多个过滤器的ElasticSearch

本文介绍了带有多个过滤器的ElasticSearch的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我正在尝试建立一个查询，该查询将找到所有用户文档(docType = user)，然后根据许多过滤器对其进行过滤.例如位置，性别，年龄等.这些过滤器是根据我正在构建的搜索功能上的用户输入来添加/删除的.

I am trying to build a query that will find all user documents (docType = user) and then filter them based on many filters. Such as location, gender, age, etc. The filters are added / removed based on user input on the search function I'm building.

以下未返回任何结果:

{ "query": { "filtered": { "query": { "match_all": {} }, "filter": { "and": { "filters": [ { "term": { "doc.docType": "user" } }, { "term": { "doc.data.profile.location" : "CA" } } ] } } } } }

以下返回结果:

{ "query": { "filtered": { "query": { "field": { "doc.data.profile.location" : "CA" } }, "filter": { "and": { "filters": [ { "term": { "doc.docType": "user" } } ] } } } } }

后者虽然返回结果，但从长远来看是行不通的，因为我可能想添加一个针对年龄，性别等的额外过滤器，而且我似乎无法添加多个字段.如果我删除位置过滤器，则第一个查询有效.

The latter, although returning results, isn't going to work in the long run as I may want to include an extra filter for age, gender, etc and I can't seem to add multiple fields. The first query works if I remove the filter for location.

推荐答案

布尔过滤器允许您链接多个 MUST ， SHOULD 和 SHOULD_NOT请求一起.允许您将其构造为一个查询.

The bool filter allows you to chain multiple MUST, SHOULD and SHOULD_NOT requests together. Allowing for you to construct this into one query.