ElasticSearch - 在一个查询中搜索分析和not_analyzed multi_field

本文介绍了ElasticSearch - 在一个查询中搜索分析和not_analyzed multi_field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 我有一个索引字段'properties.language'，值为'en sv'。该字段具有多字段映射，由两个字段组成，一个被分析（名称为language），另一个是not_analyzed（name'_exact'）。 我发出单个搜索查询，而不必同时查询properties.language和properties.language._exact？ 编辑： / p> 这是我的配置： 索引数据： $ _ $$$$ $ b_version：1，_score：1，_source：{properties：{language：en sv} } } 类型'user'的映射： / p> {user：{properties：{properties {properties：{language：{type ：multi_field，fields：{language：{type：string，analyzer：standard，index：已分析}，_exact：{type：string，index：not_analyzed } } } } } } } } 搜索查询： {query ：{filtered：{query：{match_all：{} }，filter：{ bool：{must：[{or：[{ term：{properties.language：en sv} }，{term：{properties.language._exact ：en sv} }] }] } } } } } 解决方案考虑索引语言字段使用Elasticsearch内置的多值字段（即。数组）： http://www.elasticsearch.org/guide/reference/映射/阵列类型/ 。如您所做，将 index 设置为 not_analyzed 。 索引数据时，而不是单个值'en sv'，而是转换为 ['en'，'sv'] ，而ES会照顾其余的。 对于查询，这使您可以执行以下操作来查找 en 和 sv ： { query：{filtered：{query：{match_all：{} }，filter ：{bool：{must：[{term：{properties.language：en} }，{term：{properties.language：sv} }] } } } } } 或者更好的是找到/ code>术语 c c c 中的 .elasticsearch.org / guide / reference / query-dsl / terms-query /rel =nofollow> http://www.elasticsearch.org/guide/reference/query-dsl/terms-query/ I have an indexed field 'properties.language' with the value 'en sv'. This field has a multi_field mapping that consists of two fields, one analyzed (name 'language'), and one that is not_analyzed (name '_exact').How do I issue a single search query without having to query both 'properties.language' and 'properties.language._exact'?Edit:Here is my configuration:Indexed data:{ "_index": "51ded0be98035", "_type": "user", "_id": "WUzwcwhTRbKur7J5ZY_hgA", "_version": 1, "_score": 1, "_source": { "properties": { "language":"en sv" } }}Mapping for type 'user':{ "user": { "properties": { "properties": { "properties": { "language": { "type": "multi_field", "fields": { "language": { "type": "string", "analyzer": "standard", "index": "analyzed" }, "_exact": { "type": "string", "index": "not_analyzed" } } } } } } }}Search query:{ "query": { "filtered": { "query": { "match_all": {} }, "filter": { "bool": { "must": [{ "or": [{ "term": { "properties.language": "en sv" } }, { "term": { "properties.language._exact": "en sv" } }] }] } } } }} 解决方案 Consider indexing the language field using Elasticsearch builtin multi-valued fields (ie. arrays) instead: http://www.elasticsearch.org/guide/reference/mapping/array-type/. As you currently do, set index to not_analyzed.When indexing your data, instead of a single value 'en sv', pass instead ['en', 'sv'], and ES will take care of the rest.For querying, this gives you the ability to do the following to find items with both en and sv:{ "query": { "filtered": { "query": { "match_all": {} }, "filter": { "bool": { "must": [{ "term": { "properties.language": "en" } }, { "term": { "properties.language": "sv" } }] } } } }}Or even better, find greater brevity/flexibility using the terms query/filter instead of term: http://www.elasticsearch.org/guide/reference/query-dsl/terms-query/ 这篇关于ElasticSearch - 在一个查询中搜索分析和not_analyzed multi_field的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！