elasticsearch 深入 —— Top Hits Aggregation
Top Hits Aggregation
top_hits指标聚合器跟踪正在聚合的最相关文档。 此聚合器旨在用作子聚合器,以便可以按桶聚合最匹配的文档。
top_hits聚合器可以有效地用于通过桶聚合器按特定字段对结果集进行分组。 一个或多个存储桶聚合器确定结果集被切入的属性。
选项
from- 要获取的第一个结果的偏移量。size- 每个桶返回的最大匹配匹配数的最大数量。默认情况下,返回前三个匹配的匹配。sort- 如何对最匹配的匹配进行排序。默认情况下,命中按主查询的分数排序。
Supported per hit features 每个匹配功能支持
top_hits聚合返回常规搜索命中,因为可以支持许多每个命中功能:
- Highlighting
- Explain
- Named filters and queries
- Source filtering
- Stored fields
- Script fields
- Doc value fields
- Include versions
实例
下面来看看具体的例子,就知道怎么回事了,使用起来很简单。
- 先准备索引和数据,这里以菜谱为例,name:菜谱名,type 为菜系,rating 为用户的累积平均评分
PUT recipes
POST /recipes/type/_mapping
{
"properties": {
"name":{
"type": "text"
},
"rating":{
"type": "float"
},"type":{
"type": "keyword"
}
}
}
/recipes/_bulk
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"清蒸鱼头","rating":1,"type":"湘菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"剁椒鱼头","rating":2,"type":"湘菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"红烧鲫鱼","rating":3,"type":"湘菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"鲫鱼汤(辣)","rating":3,"type":"湘菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"鲫鱼汤(微辣)","rating":4,"type":"湘菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"鲫鱼汤(变态辣)","rating":5,"type":"湘菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"广式鲫鱼汤","rating":5,"type":"粤菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"鱼香肉丝","rating":2,"type":"川菜"}
{ "index": { "_index": "recipes", "_type": "type"}}
{"name":"奶油鲍鱼汤","rating":2,"type":"西菜"}
- 现在我们看看普通的查询效果是怎么样的,搜索关键字带“鱼”的菜,返回3条数据
POST recipes/type/_search
{
"query": {"match": {
"name": "鱼"
}},"size": 3
}
全是湘菜,我的天,最近上火不想吃辣,这个第一页的结果对我来说就是垃圾,如下:
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 9,
"max_score": 0.26742277,
"hits": [
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHYF_OA-dG63Txsd",
"_score": 0.26742277,
"_source": {
"name": "鲫鱼汤(变态辣)",
"rating": 5,
"type": "湘菜"
}
},
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHXO_OA-dG63Txsa",
"_score": 0.19100356,
"_source": {
"name": "红烧鲫鱼",
"rating": 3,
"type": "湘菜"
}
},
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHWy_OA-dG63TxsZ",
"_score": 0.19100356,
"_source": {
"name": "剁椒鱼头",
"rating": 2,
"type": "湘菜"
}
}
]
}
}
- 我们再看看,这次我想加个评分排序,大家都喜欢的是那些,看看有没有喜欢吃的,执行查询:
POST recipes/type/_search
{
"query": {"match": {
"name": "鱼"
}},"sort": [
{
"rating": {
"order": "desc"
}
}
],"size": 3
}
结果稍微好点了,不过3个里面2个是湘菜,还是有点不合适,结果如下:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 9,
"max_score": null,
"hits": [
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHYF_OA-dG63Txsd",
"_score": null,
"_source": {
"name": "鲫鱼汤(变态辣)",
"rating": 5,
"type": "湘菜"
},
"sort": [
5
]
},
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHYW_OA-dG63Txse",
"_score": null,
"_source": {
"name": "广式鲫鱼汤",
"rating": 5,
"type": "粤菜"
},
"sort": [
5
]
},
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHX7_OA-dG63Txsc",
"_score": null,
"_source": {
"name": "鲫鱼汤(微辣)",
"rating": 4,
"type": "湘菜"
},
"sort": [
4
]
}
]
}
}
- 现在我知道了,我要看看其他菜系,这家不是还有西餐、广东菜等各种菜系的么,来来,帮我每个菜系来一个菜看看,换 terms agg 先得到唯一的 term 的 bucket,再组合 top_hits agg,返回按评分排序的第一个 top hits,有点复杂,没关系,看下面的查询就知道了:
GET recipes/type/_search
{
"query": {
"match": {
"name": "鱼"
}
},
"sort": [
{
"rating": {
"order": "desc"
}
}
],"aggs": {
"type": {
"terms": {
"field": "type",
"size": 10
},"aggs": {
"rated": {
"top_hits": {
"sort": [{
"rating": {"order": "desc"}
}],
"size": 1
}
}
}
}
},
"size": 0,
"from": 0
}
看下面的结果,虽然 json 结构有点复杂,不过总算是我们想要的结果了,湘菜、粤菜、川菜、西菜都出来了,每样一个,不重样:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 9,
"max_score": 0,
"hits": []
},
"aggregations": {
"type": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "湘菜",
"doc_count": 6,
"rated": {
"hits": {
"total": 6,
"max_score": null,
"hits": [
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHYF_OA-dG63Txsd",
"_score": null,
"_source": {
"name": "鲫鱼汤(变态辣)",
"rating": 5,
"type": "湘菜"
},
"sort": [
5
]
}
]
}
}
},
{
"key": "川菜",
"doc_count": 1,
"rated": {
"hits": {
"total": 1,
"max_score": null,
"hits": [
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHYr_OA-dG63Txsf",
"_score": null,
"_source": {
"name": "鱼香肉丝",
"rating": 2,
"type": "川菜"
},
"sort": [
2
]
}
]
}
}
},
{
"key": "粤菜",
"doc_count": 1,
"rated": {
"hits": {
"total": 1,
"max_score": null,
"hits": [
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHYW_OA-dG63Txse",
"_score": null,
"_source": {
"name": "广式鲫鱼汤",
"rating": 5,
"type": "粤菜"
},
"sort": [
5
]
}
]
}
}
},
{
"key": "西菜",
"doc_count": 1,
"rated": {
"hits": {
"total": 1,
"max_score": null,
"hits": [
{
"_index": "recipes",
"_type": "type",
"_id": "AVoESHY3_OA-dG63Txsg",
"_score": null,
"_source": {
"name": "奶油鲍鱼汤",
"rating": 2,
"type": "西菜"
},
"sort": [
2
]
}
]
}
}
}
]
}
}
}
elasticsearch 深入 —— Top Hits Aggregation的更多相关文章
- Elasticsearch:significant terms aggregation
在本文中,我们将重点关注significant terms和significant text聚合.这些聚合旨在搜索数据集中有趣和/或不寻常的术语,这些术语可以告诉您有关数据的隐藏属性的更多信息.此功能 ...
- elasticsearch in docker/ and aggregation,,performance tune ;throughout
Docker环境中Elasticsearch的安装 ]https://wenchao.ren/archives/category/elasticsearch/page/2 [ElasticSearch ...
- elasticsearch 基础 —— Inner hits
Inner hits The parent-join and nested 功能允许返回具有不同范围匹配的文档.在父/子案例中,基于子文档中的匹配返回父文档,或者基于父文档中的匹配返回子文档.在嵌套的 ...
- Elasticsearch:top_hits aggregation
top_hits指标聚合器跟踪要聚合的最相关文档. 该聚合器旨在用作子聚合器,以便可以按存储分区汇总最匹配的文档. top_hits聚合器可以有效地用于通过存储桶聚合器按某些字段对结果集进行分组. 一 ...
- Elasticsearch入门篇
推荐博客: 阮一峰大神:http://www.ruanyifeng.com/blog/2017/08/elasticsearch.html ElasticSearch 权威指南(中文版):https: ...
- Elasticsearch 2.3.3 JAVA api说明文档
原文地址:https://www.blog-china.cn/template\documentHtml\1484101683485.html 翻译作者:@青山常在人不老 加入翻译:cdcnsuper ...
- Elasticsearch基本用法(1)--原生操作
2.2.创建索引 2.2.1.语法 创建索引的请求格式: 请求方式:PUT 请求路径:/索引库名 请求参数:json格式: { "settings": { "number ...
- Elasticsearch操作索引
目录 操作索引 1. 基本概念 2. 创建索引 2.1 语法 2.2查看索引设置 2.3.删除索引 2.4 映射配置 2.5 新增数据 2.6 修改数据 2.7 删除数据 3. 查询 3.1 基本查询 ...
- Elasticsearch7.X 入门学习第九课笔记-----聚合分析Aggregation
原文:Elasticsearch7.X 入门学习第九课笔记-----聚合分析Aggregation 版权声明:本文为博主原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接和本声明. ...
随机推荐
- ps:建立规则选区
在前面的内容中,我们初步接触了色彩调整工具中的“色相/饱和度”工具[CTRL U],现在我们可以很容易地改变图像的色相.将如下左图的色相改为-100,形成如下中图的效果.但是这样做有一个局限,那就是只 ...
- GNU linker script,ld script,GNU链接脚本
https://blog.csdn.net/itxiebo/article/details/50937412 https://blog.csdn.net/itxiebo/article/details ...
- hadoop中的一些术语介绍
1.MR作业是客户端执行的一个工作单元:包括输入数据,MR的程序和配置信息. Hadoop将作业分成若干个任务task来执行,分为两种任务:map和reduce任务.这些任务运行在集群的节点上,并通过 ...
- JDK1.8 红黑树
序言 当在10亿数据中只需要进行10几次比较就能查找到目标时,不禁感叹编程之魅力!人类之伟大呀! —— 学红黑树有感. 红黑树的应用 红黑树的应用比较广泛,主要是用它来存储有序的数据,它的时间复杂度是 ...
- Intellij IDEA中如何给main方法赋args
Intellij IDEA中如何给main方法赋args 程序: package com.otherExample; /** * Created by 谭雪娇 on 2017/3/29. */publ ...
- php面试专题---16、MySQL创建高性能索引考点
php面试专题---16.MySQL创建高性能索引考点 一.总结 一句话总结: 注意:只写精品 1.索引的基础? 类似书籍的目录:索引类似于书籍的目录,要想找到一本书的某个特定主题,需要先查找书的目录 ...
- 小程序的开发框架MINA及小程序的启动机制
MINA框架分三个部分 视图层(View):有很多页面,每个页面有wxml和wxss组成的,视图结构和展现样式 逻辑层(App Service):处理事物逻辑的地方以及数据交互的服务中心 系统层(Na ...
- STM32 实现内部Flash的读写(HAL库版)
Flash 中文名字叫闪存,是一种长寿命的非易失性(断电数据不丢失)的存储器.可以对称为块的存储器单元块进行擦写和再编程,在进行写入操作之前必须先执行擦除.一个Nand Flash由多个块(Block ...
- ucenter 验证码看不到的解决办法
ucenter 验证码看不到的解决办法,很简单,很实用,本人亲试成功~http://www.jinyuanbao.cn 把images /fonts /en 的ttf 刪除可以了!
- canvas绘制验证码
css样式: <style> body{ text-align: center; } canvas{ background:#ddd; } </style> body中添加标签 ...