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
- Python数据库备份脚本
Python数据库备份脚本 #!/usr/bin/env python # author: liudong # -*- coding: utf-8 -*- # filename: db_bak.py ...
- 数字信号处理--FFT与蝶形算法
在数字信号处理中常常需要用到离散傅立叶变换(DFT),以获取信号的频域特征.尽管传统的DFT算法能够获取信号频域特征,但是算法计算量大,耗时长,不利于计算机实时对信号进行处理.因此至DFT被发现以来, ...
- select 标签的两种方式（以动态插入为例）
标准形式: html <select id="sorte_piceid_copy" name="tea" style="display:none ...
- 删除表空间的时候遇到的问题：ORA-02429: 无法删除用于强制唯一/主键的索引
今天打算删除orcale数据库中无用的表空间,发现报错,查资料删除,写个过程留着备用.1.drop tablespace dldata INCLUDING CONTENTS CASCADE CONST ...
- mvc Razor 视图中找不到 ViewBag的定义
在Razor 视图中,我们有时会看到 ViewBag.Title 下会划一个红线,当鼠标放上去的时候会提示这样的一个错误: 找不到编译动态表达式所需的一种或多种类型,是否缺少引用? 但在项目启动运行时 ...
- Java基础之OOP
1. 类(类型)于对象 (1)面向过程的开发于面向对象开发的区别: 面向过程更重视流程化以及功能的开发,简单点来讲,就是按照固定的模式一步步按部就班的进行,最终达成一个功能的实现.这种模式叫做面向过程 ...
- 用shell在一个文件后面的每一行追加数据
在shell分析log的时候,需要将数据过滤后转为csv的格式: 要在分析好的数据后面追加逗号: sed 's/$/&,/g' no2.log > ccc.log 结果保存在ccc.lo ...
- spring 自动扫描、注册的类是否可以定义构造函数
答案是肯定的. 方法如下: @Service public class SimpleMovieLister { private MovieFinder movieFinder; @Autowired ...
- linux 正则表达式与文件格式化处理
此文涉及命令:grep.sed.awk.printf.diff.cmp.patch. 概念: 什么是正则表示法 简单的说,正则表示法就是处理字符串的方法,他是以行为单位来进行字符串的处理行为, 正则表 ...
- git入门操作命令(转载)
以下为git环境搭建: 先建用户-->建组-->用户添加到组 新建项目,命名空间选择组 项目建完后,会分配远端地址. 然后本地配置好远端地址后,提交代码. 设置用户,邮箱 git ...