当前位置: 首页 > news >正文

es 聚合操作(二)

书接上文,示例数据在上一篇,这里就不展示了

一、Pipeline Aggregation

支持对聚合分析的结果,再次进行聚合分析。

Pipeline 的分析结果会输出到原结果中,根据位置的不同,分为两类:

  • Sibling - 结果和现有分析结果同级
    • Max,min,Avg & Sum Bucket
    • Stats,Extended Status Bucket
    • Percentiles Bucket
  • Parent -结果内嵌到现有的聚合分析结果之中
    • Derivative(求导)
    • Cumultive Sum(累计求和)
    • Moving Function(移动平均值 )

min_bucket 

在员工数最多的工种里,找出平均工资最低的工种

#在员工数最多的工种里,找出平均工资最低的工种
POST /employees/_search
{"size": 0, "aggs": {"jobs": {"terms": {"field": "job.keyword","size": 10},"aggs": {"avg_salary": {"avg": {"field": "salary"}}}},"min_salary_by_job": {"min_bucket": {"buckets_path": "jobs>avg_salary"}}}
}

结果: 

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 3,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Java Programmer","doc_count" : 7,"avg_salary" : {"value" : 25571.428571428572}},{"key" : "Javascript Programmer","doc_count" : 4,"avg_salary" : {"value" : 19250.0}},{"key" : "QA","doc_count" : 3,"avg_salary" : {"value" : 21000.0}},{"key" : "DBA","doc_count" : 2,"avg_salary" : {"value" : 25000.0}},{"key" : "Web Designer","doc_count" : 2,"avg_salary" : {"value" : 20000.0}},{"key" : "Dev Manager","doc_count" : 1,"avg_salary" : {"value" : 50000.0}},{"key" : "Product Manager","doc_count" : 1,"avg_salary" : {"value" : 35000.0}}]},"min_salary_by_job" : {"value" : 19250.0,"keys" : ["Javascript Programmer"]}}
}

可以看到上面所有工种 里面 最低薪资如下: 

  • min_salary_by_job 结果和 jobs 的聚合同级
  • min_bucket 求之前结果的最小值
  • 通过 bucket_path 关键字指定路径

stats_bucket

所有工种里面 薪资的统计数据

#所有工种里面 薪资的统计数据
POST /employees/_search
{"size": 0,"aggs": {"jobs": {"terms": {"field": "job.keyword","size": 10},"aggs": {"avg_salary": {"avg": {"field": "salary"}}}},"stats_salary_by_job": {"stats_bucket": {"buckets_path": "jobs>avg_salary"}}}
}

结果:

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 1,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Java Programmer","doc_count" : 7,"avg_salary" : {"value" : 25571.428571428572}},{"key" : "Javascript Programmer","doc_count" : 4,"avg_salary" : {"value" : 19250.0}},{"key" : "QA","doc_count" : 3,"avg_salary" : {"value" : 21000.0}},{"key" : "DBA","doc_count" : 2,"avg_salary" : {"value" : 25000.0}},{"key" : "Web Designer","doc_count" : 2,"avg_salary" : {"value" : 20000.0}},{"key" : "Dev Manager","doc_count" : 1,"avg_salary" : {"value" : 50000.0}},{"key" : "Product Manager","doc_count" : 1,"avg_salary" : {"value" : 35000.0}}]},"stats_salary_by_job" : {"count" : 7,"min" : 19250.0,"max" : 50000.0,"avg" : 27974.48979591837,"sum" : 195821.42857142858}}
}

可以看到薪资的统计值:

percentiles 

平均工资的百分位数

#平均工资的百分位数
POST /employees/_search
{"size": 0,"aggs": {"jobs": {"terms": {"field": "job.keyword","size": 10},"aggs": {"avg_salary": {"avg": {"field": "salary"}}}},"percentiles_salary_by_job": {"percentiles_bucket": {"buckets_path": "jobs>avg_salary"}}}
}

结果:

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 1,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Java Programmer","doc_count" : 7,"avg_salary" : {"value" : 25571.428571428572}},{"key" : "Javascript Programmer","doc_count" : 4,"avg_salary" : {"value" : 19250.0}},{"key" : "QA","doc_count" : 3,"avg_salary" : {"value" : 21000.0}},{"key" : "DBA","doc_count" : 2,"avg_salary" : {"value" : 25000.0}},{"key" : "Web Designer","doc_count" : 2,"avg_salary" : {"value" : 20000.0}},{"key" : "Dev Manager","doc_count" : 1,"avg_salary" : {"value" : 50000.0}},{"key" : "Product Manager","doc_count" : 1,"avg_salary" : {"value" : 35000.0}}]},"percentiles_salary_by_job" : {"values" : {"1.0" : 19250.0,"5.0" : 19250.0,"25.0" : 21000.0,"50.0" : 25000.0,"75.0" : 35000.0,"95.0" : 50000.0,"99.0" : 50000.0}}}
}

Cumulative_sum

累计求和

# 累计求和
POST /employees/_search
{"size": 0, "aggs": {"age": {"histogram": {"field": "age","min_doc_count": 0, "interval": 1},"aggs": {"avg_salary": {"avg": {"field": "salary"}},"cumulative_salary": {"cumulative_sum": {"buckets_path": "avg_salary"}}}}}
}
#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 1,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"age" : {"buckets" : [{"key" : 20.0,"doc_count" : 1,"avg_salary" : {"value" : 9000.0},"cumulative_salary" : {"value" : 9000.0}},{"key" : 21.0,"doc_count" : 1,"avg_salary" : {"value" : 16000.0},"cumulative_salary" : {"value" : 25000.0}},{"key" : 22.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 25000.0}},{"key" : 23.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 25000.0}},{"key" : 24.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 25000.0}},{"key" : 25.0,"doc_count" : 3,"avg_salary" : {"value" : 17333.333333333332},"cumulative_salary" : {"value" : 42333.33333333333}},{"key" : 26.0,"doc_count" : 1,"avg_salary" : {"value" : 22000.0},"cumulative_salary" : {"value" : 64333.33333333333}},{"key" : 27.0,"doc_count" : 2,"avg_salary" : {"value" : 20000.0},"cumulative_salary" : {"value" : 84333.33333333333}},{"key" : 28.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 84333.33333333333}},{"key" : 29.0,"doc_count" : 2,"avg_salary" : {"value" : 20000.0},"cumulative_salary" : {"value" : 104333.33333333333}},{"key" : 30.0,"doc_count" : 2,"avg_salary" : {"value" : 30000.0},"cumulative_salary" : {"value" : 134333.3333333333}},{"key" : 31.0,"doc_count" : 2,"avg_salary" : {"value" : 28500.0},"cumulative_salary" : {"value" : 162833.3333333333}},{"key" : 32.0,"doc_count" : 3,"avg_salary" : {"value" : 27333.333333333332},"cumulative_salary" : {"value" : 190166.66666666666}},{"key" : 33.0,"doc_count" : 1,"avg_salary" : {"value" : 28000.0},"cumulative_salary" : {"value" : 218166.66666666666}},{"key" : 34.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 218166.66666666666}},{"key" : 35.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 218166.66666666666}},{"key" : 36.0,"doc_count" : 1,"avg_salary" : {"value" : 38000.0},"cumulative_salary" : {"value" : 256166.66666666666}},{"key" : 37.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 256166.66666666666}},{"key" : 38.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 256166.66666666666}},{"key" : 39.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 256166.66666666666}},{"key" : 40.0,"doc_count" : 0,"avg_salary" : {"value" : null},"cumulative_salary" : {"value" : 256166.66666666666}},{"key" : 41.0,"doc_count" : 1,"avg_salary" : {"value" : 50000.0},"cumulative_salary" : {"value" : 306166.6666666666}}]}}
}

二、聚合的作用范围

默认情况下,es 会对 query 中所有范围进行聚合操作

也可以指定范围:

Filter

找到所有工种,并计算年龄大于35的平均薪资

#找到所有工种,并计算年龄大于35的平均薪资
POST /employees/_search
{"size": 0, "aggs": {"older_person": {"filter": {"range": {"age": {"gte": 35}}},"aggs": {"avg_salary": {"avg": {"field": "salary"}}}},"all_jobs": {"terms": {"field": "job.keyword"}}}
}

结果:

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 1,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"older_person" : {"doc_count" : 2,"avg_salary" : {"value" : 44000.0}},"all_jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Java Programmer","doc_count" : 7},{"key" : "Javascript Programmer","doc_count" : 4},{"key" : "QA","doc_count" : 3},{"key" : "DBA","doc_count" : 2},{"key" : "Web Designer","doc_count" : 2},{"key" : "Dev Manager","doc_count" : 1},{"key" : "Product Manager","doc_count" : 1}]}}
}

Post field

找到所有工种,并匹配符合条件的工种

POST /employees/_search
{"aggs": {"jobs": {"terms": {"field": "job.keyword","size": 10}}},"post_filter": {"match": {"job.keyword": "Dev Manager"}}
}

结果:

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 3,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 1,"relation" : "eq"},"max_score" : 1.0,"hits" : [{"_index" : "employees","_type" : "_doc","_id" : "2","_score" : 1.0,"_source" : {"name" : "Underwood","age" : 41,"job" : "Dev Manager","gender" : "male","salary" : 50000}}]},"aggregations" : {"jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Java Programmer","doc_count" : 7},{"key" : "Javascript Programmer","doc_count" : 4},{"key" : "QA","doc_count" : 3},{"key" : "DBA","doc_count" : 2},{"key" : "Web Designer","doc_count" : 2},{"key" : "Dev Manager","doc_count" : 1},{"key" : "Product Manager","doc_count" : 1}]}}
}

global 

默认基于 query 条件聚合,可以使用 global 进行全部数据聚合

POST employees/_search
{"size": 0,"query": {"range": {"age": {"gte": 40}}},"aggs": {"jobs": {"terms": {"field":"job.keyword"}},"all":{"global":{},"aggs":{"salary_avg":{"avg":{"field":"salary"}}}}}
}

可以看到 大于 40 的工种只有一个,但是平均薪资是计算的全部员工 

三、排序

指定order,按照count和key进行排序:

  • 默认情况,按照count降序排序
  • 指定size,就能返回相应的桶

找到所有工种,先以 Count 升序,如果 count 一样,然后再根据 key 降序 

POST /employees/_search
{"size": 0, "query": {"range": {"age": {"gte": 20}}},"aggs": {"jobs": {"terms": {"field": "job.keyword","order": [{"_count": "asc"},{"_key": "desc"}]}}}
}

根据平均薪资降序,并统计平均薪资

POST employees/_search
{"size": 0,"aggs": {"jobs": {"terms": {"field":"job.keyword","order":[  {"avg_salary":"desc"}]},"aggs": {"avg_salary": {"avg": {"field":"salary"}}}}}
}

结果:

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 3,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Dev Manager","doc_count" : 1,"avg_salary" : {"value" : 50000.0}},{"key" : "Product Manager","doc_count" : 1,"avg_salary" : {"value" : 35000.0}},{"key" : "Java Programmer","doc_count" : 7,"avg_salary" : {"value" : 25571.428571428572}},{"key" : "DBA","doc_count" : 2,"avg_salary" : {"value" : 25000.0}},{"key" : "QA","doc_count" : 3,"avg_salary" : {"value" : 21000.0}},{"key" : "Web Designer","doc_count" : 2,"avg_salary" : {"value" : 20000.0}},{"key" : "Javascript Programmer","doc_count" : 4,"avg_salary" : {"value" : 19250.0}}]}}
}

对工种分类,并根据最低薪资降序,并统计薪资

POST employees/_search
{"size": 0,"aggs": {"jobs": {"terms": {"field":"job.keyword","order":[  {"stats_salary.min":"desc"}]},"aggs": {"stats_salary": {"stats": {"field":"salary"}}}}}
}

结果:

#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{"took" : 2,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 20,"relation" : "eq"},"max_score" : null,"hits" : [ ]},"aggregations" : {"jobs" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : "Dev Manager","doc_count" : 1,"stats_salary" : {"count" : 1,"min" : 50000.0,"max" : 50000.0,"avg" : 50000.0,"sum" : 50000.0}},{"key" : "Product Manager","doc_count" : 1,"stats_salary" : {"count" : 1,"min" : 35000.0,"max" : 35000.0,"avg" : 35000.0,"sum" : 35000.0}},{"key" : "DBA","doc_count" : 2,"stats_salary" : {"count" : 2,"min" : 20000.0,"max" : 30000.0,"avg" : 25000.0,"sum" : 50000.0}},{"key" : "QA","doc_count" : 3,"stats_salary" : {"count" : 3,"min" : 18000.0,"max" : 25000.0,"avg" : 21000.0,"sum" : 63000.0}},{"key" : "Web Designer","doc_count" : 2,"stats_salary" : {"count" : 2,"min" : 18000.0,"max" : 22000.0,"avg" : 20000.0,"sum" : 40000.0}},{"key" : "Javascript Programmer","doc_count" : 4,"stats_salary" : {"count" : 4,"min" : 16000.0,"max" : 25000.0,"avg" : 19250.0,"sum" : 77000.0}},{"key" : "Java Programmer","doc_count" : 7,"stats_salary" : {"count" : 7,"min" : 9000.0,"max" : 38000.0,"avg" : 25571.428571428572,"sum" : 179000.0}}]}}
}

感谢观看!!!感兴趣的小伙伴可以关注收藏,持续更新中~~~ 

相关文章:

es 聚合操作(二)

书接上文,示例数据在上一篇,这里就不展示了 一、Pipeline Aggregation 支持对聚合分析的结果,再次进行聚合分析。 Pipeline 的分析结果会输出到原结果中,根据位置的不同,分为两类: Sibling - 结果和现有…...

【vue.js】文档解读【day 5】| ref模板引用

如果阅读有疑问的话,欢迎评论或私信!! 本人会很热心的阐述自己的想法!谢谢!!! 文章目录 模板引用前言访问模板引用模板引用与v-if、v-show的结合v-for中的模板引用函数模板引用 模板引用 前言 …...

算法简单小技巧

主页&#xff1a;xiaocr_blog 1.最小公倍数和最大公约数 #include<iostream> using namespace std; int main(){int a,b;cin>>a>>b;int r a%b;while (r!0){a b;b r;r a%b;}cout<<b<<endl;return 0 ; } #include<iostream> using nam…...

前端入职配置新电脑!!!

前端岗位入职第一天到底应该做些什么呢&#xff1f;又该怎样高效的认识、融入团队&#xff1f;并快速进入工作状态呢&#xff1f;这篇文章就来分享一下&#xff0c;希望对即将走向或初入前端职场的你&#xff0c;能够有所帮助。内含大量链接&#xff0c;欢迎点赞收藏&#xff0…...

Java面试题总结15之简述你对RPC,RMI的理解

RPC&#xff1a;在本地调用远程的函数&#xff0c;远程过程调用&#xff0c;可以跨语言实现&#xff0c;httpClient RMI&#xff1a;远程方法调用&#xff0c;Java中用于实现RPC的一种机制&#xff0c;RPC的Java版本是J2EE的网络调用机制&#xff0c;跨JVM调用对象的方法&…...

内网穿透利器 n2n 搭建指南

1. n2n 简介 上文实验分析了 FRP 和 Zerotier 的利弊&#xff0c;本文再介绍另一种内网穿透方案&#xff0c;n2n。 n2n 是 C/S 架构的内网穿透服务&#xff0c;不同于 FRP 的 反向代理&#xff0c;它的原理是类似 Zerotier 的先打孔&#xff0c;打孔失败再尝试转发。关于打孔本…...

phpcms头像上传漏洞引发的故事

目录 关键代码 第一次防御 第一次绕过 第二次防御 第二次绕过 第三次防御 第三次绕过 如何构造一个出错的压缩包 第四次防御 第四次绕过 本篇文章是参考某位大佬与开发人员对于文件包含漏洞的较量记录下的故事&#xff0c;因为要学习文件包含漏洞&#xff0c;就将大佬…...

二叉树|二叉树理论基础、二叉树的递归遍历

代码随想录 (programmercarl.com) 树和二叉树 1.树的基本概念 1.1树的定义 1.2树的逻辑表示方法 1.3树的基本术语 1.4树的性质 1.5树的基本运算 1.6树的存储结构 2.二叉树的概念和性质 2.1二叉树的定义 2.2二叉树的性质 2.3二叉树与树、森林之间的转换 3.二叉树的…...

JavaScript 语法-对象

对象 JavaScript 中的对象是一组键值对的集合&#xff0c;其中每个键都是字符串&#xff0c;每个值可以是任意类型。 对象是由一些属性和方法组成的集合&#xff0c;属性可以用来存储数据&#xff0c;方法可以用来操作数据。 属性和方法使用“.”来访问 // 创建一个对象 let …...

代码随想录阅读笔记-哈希表【四数之和】

题目 给定一个包含 n 个整数的数组 nums 和一个目标值 target&#xff0c;判断 nums 中是否存在四个元素 a&#xff0c;b&#xff0c;c 和 d &#xff0c;使得 a b c d 的值与 target 相等&#xff1f;找出所有满足条件且不重复的四元组。 注意&#xff1a;答案中不可以包…...

JVM学习——双亲委派机制

简而言之就是为了防止与Java固有全类名重复&#xff0c;而导致系统崩坏所设立的机制。 当类加载器接收到加载类的任务时&#xff0c;首先会向上请求&#xff0c;一直请求到引导类加载器&#xff0c;如果引导类加载器无法加载&#xff0c;就会逐层返回让类加载器自己执行&#…...

【Paper Reading】6.RLHF-V 提出用RLHF的1.4k的数据微调显著降低MLLM的虚幻问题

分类 内容 论文题目 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback 作者 作者团队&#xff1a;由来自清华大学和新加坡国立大学的研究者组成&#xff0c;包括Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Y…...

Aloudata 倾力打造,《Data Fabric 白皮书 2.0》正式发布

数字经济时代&#xff0c;越来越多企业开始寻求全新的数据管理范式&#xff0c;以更有效地管理、利用不断增长的数据资产。在此背景下&#xff0c;Data Fabric 的概念应运而生&#xff0c;被视为面向未来的数据管理解决方案。 距离第一版白皮书问世已经过去一年多时间&#xff…...

docker内部无法使用ping等网络工具解决方案

通常docker内部没有网络&#xff0c;所以我们先离线安装需要的依赖包&#xff0c;然后再使用sh脚本容器内部访问宿主机同网络端其他服务器ip,实现监测远程ip telnet包依赖于netbase包&#xff0c;但是netbase包没有安装。你需要先安装netbase包&#xff0c;然后再尝试安装teln…...

后端工程师快速使用vue和Element

文章目录 Vue1 Vue概述2 快速入门3 Vue指令3.1 v-bind和v-model3.2 v-on3.3 v-if和v-show3.4 v-for3.5 案例 4 生命周期 Element快速使用1 Element介绍2 快速入门3 当前页面中嵌套另一个页面案例代码案例截图 Vue 1 Vue概述 通过我们学习的htmlcssjs已经能够开发美观的页面了…...

自学rabbitmq入门到精通

交换机的fault &#xff08;发布与订阅模式&#xff09; 因为消息是由生产者发送给excahnge&#xff0c;exchange发送给队列&#xff0c; 然后由队列发送给消费者的。 展示使用图形化界面使用fanout模式。 创建交换机 然后创建三个队列&#xff0c;绑定对应的交换机&#xff…...

由浅到深认识C语言(13):共用体

该文章Github地址&#xff1a;https://github.com/AntonyCheng/c-notes 在此介绍一下作者开源的SpringBoot项目初始化模板&#xff08;Github仓库地址&#xff1a;https://github.com/AntonyCheng/spring-boot-init-template & CSDN文章地址&#xff1a;https://blog.csdn…...

python爬虫(9)之requests模块

1、获取动态加载的数据 1、在开发者工具中查看动态数据 找到csdn的门户的开发者工具后到这一页面。 2、加载代码 import requests headers {User-Agent:Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36…...

phpstudy自定义安装mysql8.3并启动

phpstudy自定义安装mysql8.3并启动 先去官网:https://dev.mysql.com/downloads/下载压缩包文件 然后按下面的图片一步一步操作 选择版本&#xff0c;选择第一个压缩包文件&#xff0c;下载 下载完成后&#xff0c;解压到phpstudy环境目录下&#xff0c;如下图 然后进入mysq…...

Netty 学习资料

Netty 学习资料 搜集了一下Java网络库Netty的学习资料&#xff0c;整理如下&#xff0c;有空花时间研究一下。 1、Netty学习手册 《尚硅谷 Netty 核心技术及源码剖析》课程学习手册 本课程不适合零基础的学员&#xff0c;需要掌握常用的设计模式和数据结构 掌握 Java 的面向对…...

Ubuntu系统下交叉编译openssl

一、参考资料 OpenSSL&&libcurl库的交叉编译 - hesetone - 博客园 二、准备工作 1. 编译环境 宿主机&#xff1a;Ubuntu 20.04.6 LTSHost&#xff1a;ARM32位交叉编译器&#xff1a;arm-linux-gnueabihf-gcc-11.1.0 2. 设置交叉编译工具链 在交叉编译之前&#x…...

C++.OpenGL (10/64)基础光照(Basic Lighting)

基础光照(Basic Lighting) 冯氏光照模型(Phong Lighting Model) #mermaid-svg-GLdskXwWINxNGHso {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-GLdskXwWINxNGHso .error-icon{fill:#552222;}#mermaid-svg-GLd…...

鱼香ros docker配置镜像报错:https://registry-1.docker.io/v2/

使用鱼香ros一件安装docker时的https://registry-1.docker.io/v2/问题 一键安装指令 wget http://fishros.com/install -O fishros && . fishros出现问题&#xff1a;docker pull 失败 网络不同&#xff0c;需要使用镜像源 按照如下步骤操作 sudo vi /etc/docker/dae…...

【论文阅读28】-CNN-BiLSTM-Attention-(2024)

本文把滑坡位移序列拆开、筛优质因子&#xff0c;再用 CNN-BiLSTM-Attention 来动态预测每个子序列&#xff0c;最后重构出总位移&#xff0c;预测效果超越传统模型。 文章目录 1 引言2 方法2.1 位移时间序列加性模型2.2 变分模态分解 (VMD) 具体步骤2.3.1 样本熵&#xff08;S…...

Device Mapper 机制

Device Mapper 机制详解 Device Mapper&#xff08;简称 DM&#xff09;是 Linux 内核中的一套通用块设备映射框架&#xff0c;为 LVM、加密磁盘、RAID 等提供底层支持。本文将详细介绍 Device Mapper 的原理、实现、内核配置、常用工具、操作测试流程&#xff0c;并配以详细的…...

uniapp 字符包含的相关方法

在uniapp中&#xff0c;如果你想检查一个字符串是否包含另一个子字符串&#xff0c;你可以使用JavaScript中的includes()方法或者indexOf()方法。这两种方法都可以达到目的&#xff0c;但它们在处理方式和返回值上有所不同。 使用includes()方法 includes()方法用于判断一个字…...

MinIO Docker 部署:仅开放一个端口

MinIO Docker 部署:仅开放一个端口 在实际的服务器部署中,出于安全和管理的考虑,我们可能只能开放一个端口。MinIO 是一个高性能的对象存储服务,支持 Docker 部署,但默认情况下它需要两个端口:一个是 API 端口(用于存储和访问数据),另一个是控制台端口(用于管理界面…...

嵌入式常见 CPU 架构

架构类型架构厂商芯片厂商典型芯片特点与应用场景PICRISC (8/16 位)MicrochipMicrochipPIC16F877A、PIC18F4550简化指令集&#xff0c;单周期执行&#xff1b;低功耗、CIP 独立外设&#xff1b;用于家电、小电机控制、安防面板等嵌入式场景8051CISC (8 位)Intel&#xff08;原始…...

ubuntu22.04有线网络无法连接,图标也没了

今天突然无法有线网络无法连接任何设备&#xff0c;并且图标都没了 错误案例 往上一顿搜索&#xff0c;试了很多博客都不行&#xff0c;比如 Ubuntu22.04右上角网络图标消失 最后解决的办法 下载网卡驱动&#xff0c;重新安装 操作步骤 查看自己网卡的型号 lspci | gre…...

Python网页自动化Selenium中文文档

1. 安装 1.1. 安装 Selenium Python bindings 提供了一个简单的API&#xff0c;让你使用Selenium WebDriver来编写功能/校验测试。 通过Selenium Python的API&#xff0c;你可以非常直观的使用Selenium WebDriver的所有功能。 Selenium Python bindings 使用非常简洁方便的A…...