elasticsearch-查询
使用如下语句创建一个名字为：user_document，别名为user的索引
PUT：http://localhost:9200/user_document
{
"settings" : {
"number_of_shards" : 1,
"number_of_replicas" : 0
},
"mappings" : {
"user_1" : {
"properties" : {
"Identity" :
{
"type" : "string",
"index" : "not_analyzed"
},
"Name" :
{
"type" : "string"
},
"Age" :
{
"type" : "integer"
},
"Birthday" :
{
"format": "dateOptionalTime",
"type": "date"
},
"Sex" :
{
"type" : "boolean"
}
}
}
},
"aliases" : {
"user" : {}
}
}
并新增10条测试数据
1、Match All 查询
GET _search
{
"query":
{
"match_all": {}
}
}
匹配索引中的全部文档，默认得分为1.0
2、Match 查询
GET _search
{
"query":
{
"match":
{
"Name":"陈楚生"
}
}
}
结果
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1.8677558,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 1.8677558,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcPTKOpxK9K1OdHXH",
"_score": 0.6856395,
"_source": {
"Identity": "360501199001016212",
"Name": "陈楚河",
"Age": 40,
"Birthday": "1978-05-09T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcnK7OpxK9K1OdHXL",
"_score": 0.14631948,
"_source": {
"Identity": "360501199001016214",
"Name": "陈乔恩",
"Age": 36,
"Birthday": "1980-05-09T14:12:12",
"Sex": false
}
}
]
}
}
Match查询字符串时，会将文本内容分词并做Or操作
3、Multi Match 查询
GET _search
{
"query":
{
"multi_match": {
"query": "陈楚生",
"fields": ["Name","Identity"]
}
}
}
同Match查询，但是可以同时查多个字段
4、Query String 查询
GET _search
{
"query":
{
"query_string": {
"default_field": "Name",
"query": "陈楚生"
}
}
}
结果
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1.8677558,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 1.8677558,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcPTKOpxK9K1OdHXH",
"_score": 0.6856395,
"_source": {
"Identity": "360501199001016212",
"Name": "陈楚河",
"Age": 40,
"Birthday": "1978-05-09T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcnK7OpxK9K1OdHXL",
"_score": 0.14631948,
"_source": {
"Identity": "360501199001016214",
"Name": "陈乔恩",
"Age": 36,
"Birthday": "1980-05-09T14:12:12",
"Sex": false
}
}
]
}
}
分词查询，也可以想同时查询多个字段
5、Term 查询
GET _search
{
"query":
{
"term": {
"Identity": {
"value": "360501199001016210",
"boost": 2
}
}
}
}
结果
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 2.5040774,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 2.5040774,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
}
]
}
}
Term查询一般用来做精确查询，即查询关键字需要和被查询字段值完全一致才会被查询出来。
所以如果当被查询的字段是一个String类型时，该类型需要被显示标记为not_analyzed，
否则字段内容会先被分词器分成许多个词条，导致term查询不出结果。
可以使用Match 或Query_String查询会被分词的字段。
6、Terms 查询
GET _search
{
"query":
{
"terms": {
"Age": [
35,30
]
}
}
}
结果
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0.8853251,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 0.8853251,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDc4xqOpxK9K1OdHXN",
"_score": 0.8853251,
"_source": {
"Identity": "360501199001016214",
"Name": "唐嫣",
"Age": 30,
"Birthday": "1986-05-09T14:12:12",
"Sex": true
}
}
]
}
}
查询一个值数组范围内的所有文档
7、Range 查询
GET _search
{
"query":
{
"range": {
"Age": {
"from": 25,
"to": 35
}
}
}
}
结果
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 1,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDch_LOpxK9K1OdHXK",
"_score": 1,
"_source": {
"Identity": "360501199001016214",
"Name": "赵默笙",
"Age": 28,
"Birthday": "1988-05-09T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDc4xqOpxK9K1OdHXN",
"_score": 1,
"_source": {
"Identity": "360501199001016214",
"Name": "唐嫣",
"Age": 30,
"Birthday": "1986-05-09T14:12:12",
"Sex": true
}
}
]
}
}
范围查询
8、filter 过滤器
GET _search
{
"query": {
"filtered": {
"query": {
"bool": {
"should": [
{
"bool": {
"must":
{
"query_string": {
"default_field": "Name",
"query": "陈楚生"
}
},
"must_not":
{
"term": {
"Age": {
"value": 40
}
}
}
}
},
{
"bool": {
"should":
{
"term": {
"Identity": {
"value": "360501199001016211"
}
}
}
}
}
]
}
},
"filter": {
"range": {
"Age": {
"from": 30,
"to": 35
}
}
}
}
}
}
结果
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.7757143,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 0.7757143,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
}
]
}
}
filter过滤器只会用于过滤文档，不会影响文档的得分情况
9、Constant Score 查询
GET _search
{
"query": {
"constant_score": {
"filter": {
"query": {
"query_string": {
"default_field": "Name",
"query": "陈楚生"
}
}
},
"boost": 1.2
}
}
}
结果
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 1,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcPTKOpxK9K1OdHXH",
"_score": 1,
"_source": {
"Identity": "360501199001016212",
"Name": "陈楚河",
"Age": 40,
"Birthday": "1978-05-09T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcnK7OpxK9K1OdHXL",
"_score": 1,
"_source": {
"Identity": "360501199001016214",
"Name": "陈乔恩",
"Age": 36,
"Birthday": "1980-05-09T14:12:12",
"Sex": false
}
}
]
}
}
该查询出来的文档得分是一个恒定的分数1
10、Bool 查询
GET _search
{
"query": {
"bool": {
"should": [
{
"bool": {
"must": [
{
"query_string": {
"default_field": "Name",
"query": "陈楚生"
}
}
],
"must_not": [
{
"term": {
"Age": {
"value": 40
}
}
}
]
}
},
{
"bool": {
"should": [
{
"term": {
"Identity": {
"value": "360501199001016211"
}
}
}
]
}
}
]
}
}
}
结果
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0.7757143,
"hits": [
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDbtj0OpxK9K1OdHXF",
"_score": 0.7757143,
"_source": {
"Identity": "360501199001016210",
"Name": "陈楚生",
"Age": 35,
"Birthday": "1981-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcHILOpxK9K1OdHXG",
"_score": 0.6971515,
"_source": {
"Identity": "360501199001016211",
"Name": "何家劲",
"Age": 52,
"Birthday": "1964-07-25T14:12:12",
"Sex": false
}
},
{
"_index": "user_document",
"_type": "user_1",
"_id": "AVYDcnK7OpxK9K1OdHXL",
"_score": 0.060769252,
"_source": {
"Identity": "360501199001016214",
"Name": "陈乔恩",
"Age": 36,
"Birthday": "1980-05-09T14:12:12",
"Sex": false
}
}
]
}
}
bool 查询用于组合不同的查询条件，其中可以有以下参数：must、must_not、should、filter
must：相当于and，Must中的查询条件最终会做一个and操作
must_not：对每一个查询子句做取反操作。
should：相当于or，should中的所有的子句做or操作。
elasticsearch-查询的更多相关文章
- elasticsearch 查询（match和term）
elasticsearch 查询(match和term) es中的查询请求有两种方式,一种是简易版的查询,另外一种是使用JSON完整的请求体,叫做结构化查询(DSL). 由于DSL查询更为直观也更为简 ...
- Func<T,T>应用之Elasticsearch查询语句构造器的开发
前言 之前项目中做Elasticsearch相关开发的时候,虽然借助了第三方的组件PlainElastic.Net,但是由于当时不熟悉用法,而选择了自己拼接查询语句.例如: string queryG ...
- ElasticSearch查询 第五篇：布尔查询
布尔查询是最常用的组合查询,不仅将多个查询条件组合在一起,并且将查询的结果和结果的评分组合在一起.当查询条件是多个表达式的组合时,布尔查询非常有用,实际上,布尔查询把多个子查询组合(combine)成 ...
- 利用kibana插件对Elasticsearch查询
利用kibana插件对Elasticsearch查询 Elasticsearch是功能非常强大的搜索引擎,使用它的目的就是为了快速的查询到需要的数据. 查询分类: 基本查询:使用Elasticsear ...
- ElasticSearch查询 第四篇：匹配查询（Match）
<ElasticSearch查询>目录导航: ElasticSearch查询 第一篇:搜索API ElasticSearch查询 第二篇:文档更新 ElasticSearch查询 第三篇: ...
- elasticsearch查询语句总结
query 和 filter 的区别请看:https://www.cnblogs.com/bainianminguo/articles/10396956.html Filter DSL term 过 ...
- （转载）elasticsearch 查询（match和term）
原文地址:https://www.cnblogs.com/yjf512/p/4897294.html elasticsearch 查询(match和term) es中的查询请求有两种方式,一种是简易版 ...
- ElasticSearch查询 第三篇：词条查询
<ElasticSearch查询>目录导航: ElasticSearch查询 第一篇:搜索API ElasticSearch查询 第二篇:文档更新 ElasticSearch查询 第三篇: ...
- ElasticSearch查询 第二篇：文档更新
<ElasticSearch查询>目录导航: ElasticSearch查询 第一篇:搜索API ElasticSearch查询 第二篇:文档更新 ElasticSearch查询 第三篇: ...
- ElasticSearch查询 第一篇：搜索API
<ElasticSearch查询>目录导航: ElasticSearch查询 第一篇:搜索API ElasticSearch查询 第二篇:文档更新 ElasticSearch查询 第三篇: ...
随机推荐
- IOS系列swift语言之课时七
这下需要掌握的就是类型转换,类的构造器,判断类型,异常,异常的处理,defer,范型,约束加速刷代码 import Foundation /* 类型转换 1.利用类的构造器进行转换 2.系统可能提供一 ...
- Java中的值传递和引用传递
这几天一直再纠结这个问题,今天看了这篇文章有点思路了,这跟C++里函数参数为引用.指针还是有很大区别. 当一个对象被当作参数传递到一个方法后,此方法可改变这个对象的属性,并可返回变化后的结果,那么这里 ...
- REST 风格的api
REST即表述性状态传递,是设计风格不是标准.REST架构风格有以下6个约束: 1. 客户-服务器(Client-Server):通信只能由客户端单方面发起,表现为请求-响应形式. 2.无状态:通信的 ...
- 初学c# -- 学习笔记（五） winfrom自定义滚动条
找了些例子,要么庞大.要么搞个安装组件什么的,我要求能用就行了.实在找例子修改麻烦,就做了一个.其实实现挺简单,就是panel或图片什么的跟着鼠标走就行了. 这里panel自己可以加背景图或直接搞个图 ...
- Redis(三)节省内部空间优化
总体原则:key的名称不易过长,剩下的所有 能用纯数字表示的尽量用 Redis的每一个键值都是用一个redisObject结构体表示的结构体中有: 键值的类型(string/list/hash/ ...
- openssl和Java的keytool证书相关的命令总结
Java的keytool keytool -genkey -alias myserver -keyalg RSA -keysize -keystore oauth-server.keystore -v ...
- [字符编码]Invalid byte 1 of 1-byte UTF-8 sequence终极解决方案
今天在eclipse中编写pom.xml文件时,注释中的中文被eclipse识别到错误:Invalid byte 1 of 1-byte UTF-8 sequence,曾多次遇到该问题,问题的根源是: ...
- Android两个子线程之间通信
Android中,相信主线程和子线程之间的通信大家都不陌生了吧.在一次面试经历中被问到了两个子线程之间是如何进行通信的.哎呦!这可蒙住我了.后来回家研究了下,分享给大家. 其实android中线程通信 ...
- 说一说line-height
line-height这个样式相信大家一定不会陌生,我们经常用它来让文本上下居中,这样做一般不出出现什么问题,但是如果对这个属性不是很熟悉的话,可能会踩到一些坑,今天亲自去试验了一下,并总结了一下li ...
- 解决mac升级后，出现的 xcrun: error: invalid active developer path, missing xcrun 错误
最近升级了mac系统,然后接着写代码就出问题了. 报错信息如下: xcrun: error: invalid active developer path (/Library/Developer/Com ...