From a5c7ecd471792e898b111f036ab318741df04d94 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 17:04:49 +0800 Subject: [PATCH 01/34] Add new file --- Assignment5.md | 265 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 265 insertions(+) create mode 100644 Assignment5.md diff --git a/Assignment5.md b/Assignment5.md new file mode 100644 index 0000000..ef3d0e2 --- /dev/null +++ b/Assignment5.md @@ -0,0 +1,265 @@ +# Assignment 4 指南 + +## `******注意,实验结束请立即删除云主机和数据库,节省费用******` + +## `******注意2,实验未结束且短期内不会继续实验,也请删除云主机和数据库。下次实验时重新创建******` + + + +## 实验内容 + +- 创建MySQL数据库实例并登录: `实验步骤 一)` +- 创建数据库表:`实验步骤 二)` +- 使用Wordpress和MySQL创建个人博客: `实验步骤 三)` + +## 实验要求(仔细看) + +- 完成所有步骤,并在实验报告([模板下载](file/assignment4/学号-实验四.docx))中完成穿插在本指南中的作业1~作业4(只需要截图)。实验报告转成“学号-实验四.pdf”,并上传至http://113.31.104.68:3389/index.htm +- 实验报告上传deadline: `11月6日` + +## 使用产品 + +云数据库UDB、云主机uhost、私有网络vpc、基础网络unet + +## 需要权限 + +云数据库UDB、云主机uhost、基础网络unet + + +## 基础知识(本实验详细知识会在数据库系统课程中学习,这里我们仅简单熟悉一下相关操作,你也可以去Google上Baidu一下相关知识 :ghost: :ghost: :ghost:) + + +`数据库:` 又称数据管理系统,是计算机系统中数据存储和访问的一种有组织的集合,通常作为独立的模块为应用程序提供数据读写支持。经典的(关系型)数据库系统如Oracle Database,Microsoft SQL Server,IBM Db2,以及开源数据库如MySQL,PostgreSQL等。 + +`云数据库:` 云数据库是基于云计算技术的高可用、高性能的数据库托管服务,能够在几十秒内完成数据库部署、设置、操作和扩展,简化了数据库运维工作,有利于用户专注于应用程序研发及业务的发展。 + +`分布式数据库:` 分布式数据库是用计算机网络将物理上分散的多个数据库单元连接起来组成的一个逻辑上统一的数据库。互联网经济时代业务存储的数据量增多和访问量增大,都构成对单机数据库的挑战,为提高吞吐量和降低单机数据库scale up的成本问题,分布式数据应运而生。 + + +## 实验步骤 + +### 一)创建MySQL云数据库实例并登录 + +#### 1)在产品中选择云数据库UDB + + + + +#### 2)让我们看看在UCloud上可以创建哪些数据库 :blush: + + + + +> `MySQL:` 原本是一个开源关系型数据库管理系统,原开发者为瑞典的MySQL AB公司,该公司于2008年被Sun收购,后Sun公司于2009年被Oracle收购,MySQL成为Oracle旗下产品。与此同时,MySQL原作者Michael Widenius fork了开源MySQL项目,创建了MariaDB,继续保持在GNU GPL下开源。 + +> `MongoDB:` 面向文档的非关系型(NoSQL)数据库管理系统,使用类JSON的文档存储数据。 MongoDB由MongoDB Inc.开发。 + +> `PostgreSQL:` 或称Postgres,开源数据库管理系统,强调extensibility,可以同时用作关系型数据库,时序数据数据库和数据仓库的解决方案。 + +> `SQL Server:` 微软开发的关系型数据库管理系统,最早由微软和Sybase合作开发,从SQL Server 6.0版开始,由微软独立开发。 + + +#### 3)以上知识看看就好,没啥用处 :stuck_out_tongue_winking_eye: 还是让我们创建一个MySQL数据库玩玩吧 :smirk: + + + + + + + + + + + + +#### 4)登录数据库 + +##### 方法一:通过phpMyAdmin网页登录 + + + + + + + + + + + + +## `**************作业1:请将通过phpMyAdmin登录数据库的主页截图,并插入实验报告***************` + + +##### 方法二:通过云主机MySQL客户端,使用ip和端口登录(还记得怎么创建云主机吗 :dog:) + +a)在云主机上安装MySQL客户端(root登录不需要加sudo) +``` +sudo yum -y install mysql +``` + + + + +b)登录刚刚创建的数据库。其中,h表示host,即数据库的ip地址;P表示端口,数据库使用默认端口可省略;u表示登录数据库的username;p表示该username的登录密码 +``` +mysql -h$IP -P$Port -u$User -p$Password +``` + + + + +## `**************作业2:请将通过MySQL客户端登录数据库的画面截图(包含命令),并插入实验报告***************` + + +### 二)创建用户数据库,并建表(注:之前说的数据库是指数据库系统,这里说的数据库是指真正存储数据的逻辑库) + +#### 1)创建一个airport数据库 + + + + + + + + +#### 2)让我们创建数据表shops和flights + + + + + + + + + + + + + +#### 3)在表中插入一些数据。在刚才建表的窗口执行以下SQL语句。 +``` +INSERT INTO shops +VALUES +(1,'StarBucks','T1-203','2020-03-01'), +(2,'7-Eleven','T2-311','2020-05-22'), +(3,'Apple Store','T1-215','2020-06-14'), +(4,'Huawei Mobile','T3-222','2020-10-28'); +``` + +``` +INSERT INTO flights +VALUES +('MU567','China Eastern','Shanghai','Singapore','2020-03-01 14:20','A52'), +('CA7209','Air China','Shanghai','San Francisco','2020-05-22 13:45','B12'), +('JL872','JAPAN AIRLINES','Shanghai','Tokyo','2020-09-15 09:00','A33'); +``` + +> 看到类似如下页面,说明插入成功! + + + + + +#### 4)看看我们的表中现在有什么吧 :yum: +``` +SELECT * FROM shops; +``` + +``` +SELECT * FROM flights; +``` + + +## `**************作业3:请将执行 SELECT * FROM flights 语句后的页面截图,并插入实验报告***************` + + +### 三)使用Wordpress和MySQL数据库创建个人博客 + +> WordPress是一个以PHP和MySQL为平台的自由开源的博客软件和内容管理系统。WordPress具有插件架构和模板系统。截至2018年4月,排名前1000万的网站中超过30.6%使用WordPress。WordPress是最受欢迎的网站内容管理系统。全球有大约30%的网站(7亿5000个)都是使用WordPress架设网站的。(来源:[Wikipedia](https://zh.wikipedia.org/wiki/WordPress)) + +#### 1)启动docker服务,并从公共库pull wordpress的镜像 +``` +sudo docker pull wordpress +``` +> root账户不需要加sudo,普通账户使用sudo权限操作docker前,需将username加入到docker组,例如 `sudo usermod -aG docker luxuesong` + +> 忘记如何安装启动docker的同学请参考[实验二](http://106.75.225.141/xuesong/cloud-computing-course/blob/master/Assignment2.md)。 + +> 你也可以登录ucloud镜像库并下载wordpress镜像,速度会快很多 + +``` +sudo docker pull cloud_computing/wordpress +``` + + + + + +#### 2)运行wordpress的docker镜像,并将container的80和433端口暴露给云主机 +``` +sudo docker run --rm -d -p 80:80 -p 443:443 --name myWordpress -e WORDPRESS_DB_HOST=10.23.243.194:3306 -e WORDPRESS_DB_USER=root -e WORDPRESS_DB_PASSWORD=mysql123 wordpress +``` + +> 回顾docker run语法,--rm container停止运行时自动删除,-d 以Detached模式运行container,-p 80:80 将container的80端口映射到云主机的80端口,--name为container取名(myWordpress),最后一个wordpress是镜像名。 + +> 这里遇到一个新的option -e,表示设置container的环境变量。因为我们要让wordpress网站连接MySQL数据库,所以要为container设置数据库相关的环境变量。 + +> WORDPRESS_DB_HOST是要连接的数据库ip和端口,WORDPRESS_DB_USER是数据库登录名,WORDPRESS_DB_PASSWORD是登陆密码,请设置为你的数据库信息。 + + + + + +#### 3)个人博客已经运行,快去看看吧,http://你的云主机ip地址 + +> 首次登录需要配置一下 + + + + + + + + +> 登录后进入dashboard,可以对你的博客网站进行定制。点击左上角你设定的网站名,可以进入博客主页(哇。。。界面属实有点拉垮)。 + + + + + + + + + +> 让我们换个主题场景,点击左上角dashboard,进入Appearance->Themes,选择Twenty Seventeen,并点击Activate,重新进入博客看看 + + + + + + + + +#### 4)让我们回过头看看数据库里面的变化 + + + + + +> wordpress自动创建了一个数据库,并添加了若干数据表,存储博客网站的数据 + +#### 5)最后,让我们写一个简单的博客吧 + + + + + + + + + + + + + +## `**************作业4:请任意写一个博客并发布(除了“什么是云计算”),截图博客并插入实验报告***************` From 7fbe955f27042f6f7e13cd287c3d47368d9109ce Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 17:23:47 +0800 Subject: [PATCH 02/34] Update Assignment5.md --- Assignment5.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index ef3d0e2..f329097 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -1,8 +1,8 @@ -# Assignment 4 指南 +# Assignment 5 指南 -## `******注意,实验结束请立即删除云主机和数据库,节省费用******` +## `******注意,实验结束请立即删除云主机和数据仓库,节省费用******` -## `******注意2,实验未结束且短期内不会继续实验,也请删除云主机和数据库。下次实验时重新创建******` +## `******注意2,实验未结束且短期内不会继续实验,也请删除云主机和数据仓库。下次实验时重新创建******` @@ -17,21 +17,21 @@ - 完成所有步骤,并在实验报告([模板下载](file/assignment4/学号-实验四.docx))中完成穿插在本指南中的作业1~作业4(只需要截图)。实验报告转成“学号-实验四.pdf”,并上传至http://113.31.104.68:3389/index.htm - 实验报告上传deadline: `11月6日` -## 使用产品 +## 使用UCloud产品 -云数据库UDB、云主机uhost、私有网络vpc、基础网络unet +云数据仓库UDW、云主机uhost、私有网络vpc、基础网络unet ## 需要权限 -云数据库UDB、云主机uhost、基础网络unet +云数据仓库UDW、云主机uhost、基础网络unet -## 基础知识(本实验详细知识会在数据库系统课程中学习,这里我们仅简单熟悉一下相关操作,你也可以去Google上Baidu一下相关知识 :ghost: :ghost: :ghost:) +## 基础知识(本实验详细知识会在数据仓库相关课程中学习,这里我们仅简单熟悉一下相关操作,你也可以去Google上Baidu一下相关知识 :ghost: :ghost: :ghost:) -`数据库:` 又称数据管理系统,是计算机系统中数据存储和访问的一种有组织的集合,通常作为独立的模块为应用程序提供数据读写支持。经典的(关系型)数据库系统如Oracle Database,Microsoft SQL Server,IBM Db2,以及开源数据库如MySQL,PostgreSQL等。 +`数据仓库:` 数据仓库,或data warehouse(缩写DW),是用于报告和数据分析的数据管理系统。传统的关系型数据库(如实验四中的MySQL)主要应用于基本的、日常的事务处理(transaction processing),例如银行交易,淘宝购物,订购车票等。而数据仓库系统主要应用于生产数据的整理和分析,通过扩展数据分析和可视化等工具,支持业务决策,例如流量分析、用户画像、统计建模等。 -`云数据库:` 云数据库是基于云计算技术的高可用、高性能的数据库托管服务,能够在几十秒内完成数据库部署、设置、操作和扩展,简化了数据库运维工作,有利于用户专注于应用程序研发及业务的发展。 +`:` 云数据库是基于云计算技术的高可用、高性能的数据库托管服务,能够在几十秒内完成数据库部署、设置、操作和扩展,简化了数据库运维工作,有利于用户专注于应用程序研发及业务的发展。 `分布式数据库:` 分布式数据库是用计算机网络将物理上分散的多个数据库单元连接起来组成的一个逻辑上统一的数据库。互联网经济时代业务存储的数据量增多和访问量增大,都构成对单机数据库的挑战,为提高吞吐量和降低单机数据库scale up的成本问题,分布式数据应运而生。 From 5b4e1bcf5f09549bfd461fa0748db0714b18278e Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 19:07:06 +0800 Subject: [PATCH 03/34] Update Assignment5.md --- Assignment5.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index f329097..a291296 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -29,12 +29,15 @@ ## 基础知识(本实验详细知识会在数据仓库相关课程中学习,这里我们仅简单熟悉一下相关操作,你也可以去Google上Baidu一下相关知识 :ghost: :ghost: :ghost:) -`数据仓库:` 数据仓库,或data warehouse(缩写DW),是用于报告和数据分析的数据管理系统。传统的关系型数据库(如实验四中的MySQL)主要应用于基本的、日常的事务处理(transaction processing),例如银行交易,淘宝购物,订购车票等。而数据仓库系统主要应用于生产数据的整理和分析,通过扩展数据分析和可视化等工具,支持业务决策,例如流量分析、用户画像、统计建模等。 +`数据仓库:` data warehouse(缩写DW),是用于报告和数据分析的数据管理系统。 -`:` 云数据库是基于云计算技术的高可用、高性能的数据库托管服务,能够在几十秒内完成数据库部署、设置、操作和扩展,简化了数据库运维工作,有利于用户专注于应用程序研发及业务的发展。 +`和SQL数据库的区别:` 传统的关系型数据库(如实验四中的MySQL)主要应用于基本的、日常的事务处理(Transaction Processing),例如银行交易,淘宝购物,订购车票等。而数据仓库系统主要应用于生产数据的整理和分析(Analytical Processing),通过扩展数据分析和可视化等工具,支持业务决策,例如流量分析、用户画像、统计建模等。 -`分布式数据库:` 分布式数据库是用计算机网络将物理上分散的多个数据库单元连接起来组成的一个逻辑上统一的数据库。互联网经济时代业务存储的数据量增多和访问量增大,都构成对单机数据库的挑战,为提高吞吐量和降低单机数据库scale up的成本问题,分布式数据应运而生。 +举个简单例子,淘宝前端(网页端、app端)每天的交易事务,都是用关系型数据库支持的。而每天的交易数据,会定时导入到后端的数据仓库(俗称ETL,Extract, Transform, Load),并根据特定业务逻辑重新整理,从而方便后端各个团队分析数据和做出业务决策。 +`UDW云数据仓库:` 是UCloud的DW产品,基于开源软件Greenplum(底层为PostgreSQL数据库)开发的大规模并发、完全托管的PB级数据仓库服务。支持MADlib、PostGIS等扩展工具,可以方便地支持机器学习、空间地理位置应用等数据分析任务。 + +好了,闲话少说,我们开始创建一个UDW玩玩。:ghost: :ghost: :ghost: ## 实验步骤 From 92208a047ba5d0b9ea4fbeba363099e0a63ca7b6 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 19:18:06 +0800 Subject: [PATCH 04/34] Add new directory --- img/assignment5/.gitkeep | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 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zBvYqKk{yjY)v@Hr$Vi{{p91A}kuGrIKC?SBgJYS^Q2mE zF27c|z4a#HBk1=bx@EKmuzt-!U+OJL3;Ew2n5OikC%(RFv`SH1zlk=PC~7kfQS;W- zh+Ayy#mW4eNDeU_&eF=scgp7 z_+c9W29cB5f>%*Bo3Wu%>Xc!C=z@|YrR{#Hk;EznH(xxiF0bM*`oaA6^k#So`r-Id z4z`HRZ#jsoen)l)78w*=FjH>Uo_nU5#ob@9eOzkrtb`Vi&wAn9z@l7y4xf;^Fe(B)u6VSCP#Ba_8N>l62L^v`&E#H20?kNQM5 z0~&_c!QLdKFwC;HJvsoKr0E0=CqXU-~r=+6U%C|sA$@hpF+vH8mPVSz8e^{|9cm*|Bs_!Ho_^@Bzf zu085>OUwAE3Fj$pQA4{{4j6Dq`V*bM!u+0v=h`mqt7mJ7h}_TCpwXxW_gaLUTxFgI cUi@dL0P!aIMHuTn)hsIbPkrZqzWzJ*Ux>7p82|tP literal 0 HcmV?d00001 From 3b5903a2e34bdc423458f698eb2265242830e600 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 21:06:18 +0800 Subject: [PATCH 16/34] Update Assignment5.md --- Assignment5.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index 0d14a17..df84ecd 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -134,15 +134,14 @@ conn = psycopg2.connect(database="dev", user="username", password="password", ho cur = conn.cursor() cur.execute("SELECT id, name, address, salary from COMPANY order by id") rows = cur.fetchall() -print ("ID\tNAME\tADDRESS\tSALARY") +print ("ID NAME ADDRESS SALARY") for row in rows: print (row[0], "\t", row[1], "\t", row[2], "\t", row[3]) conn.close() ``` - - + From 93eb2806a618a585f539e9b61f32446a45133d6b Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 21:11:45 +0800 Subject: [PATCH 17/34] Update Assignment5.md --- Assignment5.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index df84ecd..f23f877 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -10,7 +10,7 @@ - 创建Greenplum数据仓库实例: `实验步骤 一)` - 登录数据仓库:`实验步骤 二)` -- 练习建表、查找、删表等基本操作:`实验步骤 三)` +- 练习建表、插入、查找等基本操作:`实验步骤 三)` - 使用MADlib完成简单的机器学习任务: `实验步骤 四)` ## 实验要求(仔细看) @@ -94,7 +94,7 @@ pip3 install --user psycopg2 -##### 1.2)quit()退出python3命令行,让我们运行几个Python代码来实现建表,插值,查询等操作。 +##### 1.2)quit()退出python3命令行,让我们运行几个Python代码来实现建表,插入,查询等操作。 > 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b/Assignment5.md index f23f877..186f649 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -9,9 +9,8 @@ ## 实验内容 - 创建Greenplum数据仓库实例: `实验步骤 一)` -- 登录数据仓库:`实验步骤 二)` -- 练习建表、插入、查找等基本操作:`实验步骤 三)` -- 使用MADlib完成简单的机器学习任务: `实验步骤 四)` +- 登录数据仓库,并练习建表、插入、查找等基本操作:`实验步骤 二)` +- 使用MADlib完成简单的机器学习任务: `实验步骤 三)` ## 实验要求(仔细看) @@ -78,6 +77,57 @@ ### 二)登录数据仓库。Greenplum数据仓库的登录有很多方式,比如用PostgreSQL客户端登录,用Greenplum客户端登录,用JDBC(在Java中使用)或者ODBC(在C/C++中使用)访问,用psycopg2(在Python中使用)访问。本实验我们完成PostgreSQL客户端和psycopg2两种方式。其余方式同学们以后可以自行尝试。 #### 1)使用PostgreSQL客户端登录。创建一个最低配置的Centos云主机,选择按流量计费,20M带宽,云主机按小时付费。登录以后运行以下命令,安装PostgreSQL客户端psql。 +``` +sudo yum install postgresql.x86_64 -y +``` + +##### 1.1)安装完毕后运行以下命令登录数据仓库。将相关参数替换成你的数据仓库参数。登录后将看到如下界面(我们已经在dev库中)。 +``` +psql -h hostIP –U username -d database -p port +``` + + + + +## `**************作业1:请将登录命令和登录成功界面截图,并插入实验报告***************` + +##### 1.2)让我们运行几个SQL代码来实现建表,插入,查询等操作。 +> 复制以下sql代码,并在psql中运行(注意要包含最后的分号) +``` +CREATE TABLE regression ( + id int, + y int, + x1 int, + x2 int +); +``` + +> 运行后我们看到如下notice,提示建表时没有使用`DISTRIBUTED BY`语句,因此Greenplum默认使用id作为分布键。这是因为greenplum是一个分布式数仓,数据会分布在不同的节点上,因此建表的时候要用`DISTRIBUTED BY`语句说明按照哪一个属性(即所谓“分布键”)对数据进行划分。由于我们没有指定,系统默认使用了第一列作为分布键。 + + + + + + +> 接着让我们在regression表中插入一些值 +``` +INSERT INTO regression VALUES + (1, 5, 2, 3), + (2, 10, 7, 2), + (3, 6, 4, 1), + (4, 8, 3, 4); +``` + +> 让我们查询一下regression表中的数据。你应该看到如下输出。 +``` +SELECT * FROM regression; +``` + + + + + +## `**************作业2:请将regression表的查询命令和输出结果截图,并插入实验报告***************` #### 2)使用`Python`+`psycopg2`访问。很多时候我们需要在程序中访问数据仓库,比如用Python读取DW中的数据,然后进一步操作。我们可以通过使用`psycopg2`来实现访问。运行以下命令安装`psycopg2`package。 @@ -89,12 +139,12 @@ sudo yum install gcc -y pip3 install --user psycopg2 ``` -##### 1.1)安装完毕后运行python3,然后import psycopg2,若没有报错,则说明psycopg2安装成功。 +##### 2.1)安装完毕后运行python3,然后import psycopg2,若没有报错,则说明psycopg2安装成功。 -##### 1.2)quit()退出python3命令行,让我们运行几个Python代码来实现建表,插入,查询等操作。 +##### 2.2)quit()退出python3命令行,让我们运行几个Python代码来实现建表,插入,查询等操作。 > 建立createTable.py文件,并复制如下代码。其中username,password,hostIP,port都要替换成你的数据仓库参数。 ``` @@ -141,6 +191,7 @@ conn.close() ``` > 你应该会看到如下输出。 + @@ -148,192 +199,33 @@ conn.close() ## `**************作业3:请将运行selectTable.py的命令和输出结果截图,并插入实验报告***************` -##### 方法一:通过phpMyAdmin网页登录 - - - - - - - - - - - - -## `**************作业1:请将通过phpMyAdmin登录数据库的主页截图,并插入实验报告***************` - - -##### 方法二:通过云主机MySQL客户端,使用ip和端口登录(还记得怎么创建云主机吗 :dog:) - -a)在云主机上安装MySQL客户端(root登录不需要加sudo) -``` -sudo yum -y install mysql -``` - - - - -b)登录刚刚创建的数据库。其中,h表示host,即数据库的ip地址;P表示端口,数据库使用默认端口可省略;u表示登录数据库的username;p表示该username的登录密码 -``` -mysql -h$IP -P$Port -u$User -p$Password -``` - - - - -## `**************作业2:请将通过MySQL客户端登录数据库的画面截图(包含命令),并插入实验报告***************` - - -### 二)创建用户数据库,并建表(注:之前说的数据库是指数据库系统,这里说的数据库是指真正存储数据的逻辑库) - -#### 1)创建一个airport数据库 - - - - - - - - -#### 2)让我们创建数据表shops和flights - - - - - - - - - - - +### 三)使用MADlib完成简单的机器学习任务(线性回归) +#### 1)前面我们说过,在Greenplum中使用MADlib插件可以直接在DW中建立机器学习模型。这里我们用二)中的regression表跑一下线性回归算法。请使用psql或者psycopg2登录数仓,并运行如下命令。 -#### 3)在表中插入一些数据。在刚才建表的窗口执行以下SQL语句。 ``` -INSERT INTO shops -VALUES -(1,'StarBucks','T1-203','2020-03-01'), -(2,'7-Eleven','T2-311','2020-05-22'), -(3,'Apple Store','T1-215','2020-06-14'), -(4,'Huawei Mobile','T3-222','2020-10-28'); +SELECT madlib.linregr_train ( + 'regression', -- source table + 'regression_model', -- output model table + 'y', -- dependent variable + 'ARRAY[1, x1, x2]' -- independent variables +); ``` -``` -INSERT INTO flights -VALUES -('MU567','China Eastern','Shanghai','Singapore','2020-03-01 14:20','A52'), -('CA7209','Air China','Shanghai','San Francisco','2020-05-22 13:45','B12'), -('JL872','JAPAN AIRLINES','Shanghai','Tokyo','2020-09-15 09:00','A33'); -``` +> 这里我们看到使用了MADlib的线性回归模型linregr_train来对regression表中的数据进行训练,模型输入变量为x1, x2以及偏置项,输出变量为y。训练好的模型保存在regression_model表中。 -> 看到类似如下页面,说明插入成功! - - - - - -#### 4)看看我们的表中现在有什么吧 :yum: -``` -SELECT * FROM shops; -``` +> 让我们看下模型表中有什么 ``` -SELECT * FROM flights; +SELECT * FROM regression_model; ``` +> 可能输出比较乱,你可以运行以下命令,让表的结果竖起来。 -## `**************作业3:请将执行 SELECT * FROM flights 语句后的页面截图,并插入实验报告***************` - - -### 三)使用Wordpress和MySQL数据库创建个人博客 - -> WordPress是一个以PHP和MySQL为平台的自由开源的博客软件和内容管理系统。WordPress具有插件架构和模板系统。截至2018年4月,排名前1000万的网站中超过30.6%使用WordPress。WordPress是最受欢迎的网站内容管理系统。全球有大约30%的网站(7亿5000个)都是使用WordPress架设网站的。(来源:[Wikipedia](https://zh.wikipedia.org/wiki/WordPress)) - -#### 1)启动docker服务,并从公共库pull wordpress的镜像 ``` -sudo docker pull wordpress -``` -> root账户不需要加sudo,普通账户使用sudo权限操作docker前,需将username加入到docker组,例如 `sudo usermod -aG docker luxuesong` - -> 忘记如何安装启动docker的同学请参考[实验二](http://106.75.225.141/xuesong/cloud-computing-course/blob/master/Assignment2.md)。 - -> 你也可以登录ucloud镜像库并下载wordpress镜像,速度会快很多 - +\x +SELECT * FROM regression_model; ``` -sudo docker pull cloud_computing/wordpress -``` - - - - - -#### 2)运行wordpress的docker镜像,并将container的80和433端口暴露给云主机 -``` -sudo docker run --rm -d -p 80:80 -p 443:443 --name myWordpress -e WORDPRESS_DB_HOST=10.23.243.194:3306 -e WORDPRESS_DB_USER=root -e WORDPRESS_DB_PASSWORD=mysql123 wordpress -``` - -> 回顾docker run语法,--rm container停止运行时自动删除,-d 以Detached模式运行container,-p 80:80 将container的80端口映射到云主机的80端口,--name为container取名(myWordpress),最后一个wordpress是镜像名。 - -> 这里遇到一个新的option -e,表示设置container的环境变量。因为我们要让wordpress网站连接MySQL数据库,所以要为container设置数据库相关的环境变量。 - -> WORDPRESS_DB_HOST是要连接的数据库ip和端口,WORDPRESS_DB_USER是数据库登录名,WORDPRESS_DB_PASSWORD是登陆密码,请设置为你的数据库信息。 - - - - - -#### 3)个人博客已经运行,快去看看吧,http://你的云主机ip地址 - -> 首次登录需要配置一下 - - - - - - - - -> 登录后进入dashboard,可以对你的博客网站进行定制。点击左上角你设定的网站名,可以进入博客主页(哇。。。界面属实有点拉垮)。 - - - - - - - - - -> 让我们换个主题场景,点击左上角dashboard,进入Appearance->Themes,选择Twenty Seventeen,并点击Activate,重新进入博客看看 - - - - - - - - -#### 4)让我们回过头看看数据库里面的变化 - - - - - -> wordpress自动创建了一个数据库,并添加了若干数据表,存储博客网站的数据 - -#### 5)最后,让我们写一个简单的博客吧 - - - - - - - - - - - - +> 这样是不是顺眼多了 :bowtie: :bowtie: :bowtie: 我们看到了线性回归模型的参数以及标准差,p-value等指标的值 ## 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G$NnFqxz>OH literal 0 HcmV?d00001 From cb3a9fc2fe9c465f4d96add019210715dc9ba2e6 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 22:04:20 +0800 Subject: [PATCH 23/34] Update Assignment5.md --- Assignment5.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/Assignment5.md b/Assignment5.md index 186f649..ae74dd5 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -226,6 +226,11 @@ SELECT * FROM regression_model; \x SELECT * FROM regression_model; ``` -> 这样是不是顺眼多了 :bowtie: :bowtie: :bowtie: 我们看到了线性回归模型的参数以及标准差,p-value等指标的值 +> 这样是不是顺眼多了 :ghost: :ghost: :ghost: 我们看到了线性回归模型的参数以及标准差,p-value等指标的值 + + + + + ## `**************作业4:请任意写一个博客并发布(除了“什么是云计算”),截图博客并插入实验报告***************` From eb7c7e9566494265c7a80325aede862d26123af5 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 22:11:20 +0800 Subject: [PATCH 24/34] Update Assignment5.md --- Assignment5.md | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/Assignment5.md b/Assignment5.md index ae74dd5..4065bff 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -214,7 +214,7 @@ SELECT madlib.linregr_train ( > 这里我们看到使用了MADlib的线性回归模型linregr_train来对regression表中的数据进行训练,模型输入变量为x1, x2以及偏置项,输出变量为y。训练好的模型保存在regression_model表中。 -> 让我们看下模型表中有什么 +### 2)让我们看下模型表中有什么,运行以下命令 ``` SELECT * FROM regression_model; @@ -224,6 +224,7 @@ SELECT * FROM regression_model; ``` \x + SELECT * FROM regression_model; ``` > 这样是不是顺眼多了 :ghost: :ghost: :ghost: 我们看到了线性回归模型的参数以及标准差,p-value等指标的值 @@ -232,5 +233,18 @@ SELECT * FROM regression_model; +### 3)最后让我们用这个模型去做预测。我们直接在训练集上进行预测。 +``` +\x + +SELECT regression.*, + madlib.linregr_predict ( ARRAY[1, x1, x2], m.coef ) as predict, + y as observation +FROM regression, regression_model m; +``` + + + + ## `**************作业4:请任意写一个博客并发布(除了“什么是云计算”),截图博客并插入实验报告***************` From 61e63be9483f32ad4594ed87ac1f510437acaef2 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 22:11:32 +0800 Subject: [PATCH 25/34] Upload New File --- 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--- a/Assignment5.md +++ b/Assignment5.md @@ -127,7 +127,9 @@ SELECT * FROM regression; -## `**************作业2:请将regression表的查询命令和输出结果截图,并插入实验报告***************` +##### 1.3)运行\q退出psql客户端。 + +## `**************作业2:请将regression表的查询命令、输出结果和退出psql以后的界面截图,并插入实验报告***************` #### 2)使用`Python`+`psycopg2`访问。很多时候我们需要在程序中访问数据仓库,比如用Python读取DW中的数据,然后进一步操作。我们可以通过使用`psycopg2`来实现访问。运行以下命令安装`psycopg2`package。 @@ -233,7 +235,7 @@ SELECT * FROM regression_model; -### 3)最后让我们用这个模型去做预测。我们直接在训练集上进行预测。 +### 3)最后让我们用这个模型去做预测。我们直接在训练集上进行预测。你会看到如下输出,其中predict是预测结果,observation是原始的y值。 ``` \x @@ -247,4 +249,6 @@ FROM regression, regression_model m; -## `**************作业4:请任意写一个博客并发布(除了“什么是云计算”),截图博客并插入实验报告***************` +### 4)运行\q退出psql客户端。 + +## `**************作业4:请把预测结果和退出psql以后的界面截图,并插入实验报告***************` From 0d2fa24a0e8026f4b55723775bbc2592e7e910b2 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 22:20:56 +0800 Subject: [PATCH 29/34] Update Assignment5.md --- Assignment5.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index 7422328..9c4ad46 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -129,7 +129,7 @@ SELECT * FROM regression; ##### 1.3)运行\q退出psql客户端。 -## `**************作业2:请将regression表的查询命令、输出结果和退出psql以后的界面截图,并插入实验报告***************` +## `**************作业2:请如上图一样将regression表的查询命令、输出结果和退出psql以后的界面截图,并插入实验报告***************` #### 2)使用`Python`+`psycopg2`访问。很多时候我们需要在程序中访问数据仓库,比如用Python读取DW中的数据,然后进一步操作。我们可以通过使用`psycopg2`来实现访问。运行以下命令安装`psycopg2`package。 @@ -251,4 +251,4 @@ FROM regression, regression_model m; ### 4)运行\q退出psql客户端。 -## `**************作业4:请把预测结果和退出psql以后的界面截图,并插入实验报告***************` +## `**************作业4:请如上图一样把预测结果和退出psql以后的界面一起截图,并插入实验报告***************` From 69cb79866a5d592e48feb496e2d99e33f4893f4f Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 22:22:27 +0800 Subject: [PATCH 30/34] Delete ass5-psgselect.jpg --- img/assignment5/ass5-psgselect.jpg | Bin 22881 -> 0 bytes 1 file 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+0800 Subject: [PATCH 12/34] Update Assignment5.md --- Assignment5.md | 38 ++++++++++++++++++++++---------------- 1 file changed, 22 insertions(+), 16 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index a291296..2e882e4 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -35,38 +35,44 @@ 举个简单例子,淘宝前端(网页端、app端)每天的交易事务,都是用关系型数据库支持的。而每天的交易数据,会定时导入到后端的数据仓库(俗称ETL,Extract, Transform, Load),并根据特定业务逻辑重新整理,从而方便后端各个团队分析数据和做出业务决策。 + + + + + `UDW云数据仓库:` 是UCloud的DW产品,基于开源软件Greenplum(底层为PostgreSQL数据库)开发的大规模并发、完全托管的PB级数据仓库服务。支持MADlib、PostGIS等扩展工具,可以方便地支持机器学习、空间地理位置应用等数据分析任务。 -好了,闲话少说,我们开始创建一个UDW玩玩。:ghost: :ghost: :ghost: +闲话少说,我们开始创建一个UDW玩玩。:ghost: :ghost: :ghost: ## 实验步骤 -### 一)创建MySQL云数据库实例并登录 +### 一)创建Greenplum数据仓库实例并登录 -#### 1)在产品中选择云数据库UDB +#### 1)在产品中选择云数据仓库UDW,然后点击新建数据仓库 - + -#### 2)让我们看看在UCloud上可以创建哪些数据库 :blush: +#### 2)使用默认配置,2个节点。将子网改成"DefaultNetwork",记住DB名称,端口,管理员用户名,设置管理员密码。选择按时付费,立即购买。 - + -> `MySQL:` 原本是一个开源关系型数据库管理系统,原开发者为瑞典的MySQL AB公司,该公司于2008年被Sun收购,后Sun公司于2009年被Oracle收购,MySQL成为Oracle旗下产品。与此同时,MySQL原作者Michael Widenius fork了开源MySQL项目,创建了MariaDB,继续保持在GNU GPL下开源。 - -> `MongoDB:` 面向文档的非关系型(NoSQL)数据库管理系统,使用类JSON的文档存储数据。 MongoDB由MongoDB Inc.开发。 - -> `PostgreSQL:` 或称Postgres,开源数据库管理系统,强调extensibility,可以同时用作关系型数据库,时序数据数据库和数据仓库的解决方案。 - -> `SQL Server:` 微软开发的关系型数据库管理系统,最早由微软和Sybase合作开发,从SQL Server 6.0版开始,由微软独立开发。 + + + + + + -#### 3)以上知识看看就好,没啥用处 :stuck_out_tongue_winking_eye: 还是让我们创建一个MySQL数据库玩玩吧 :smirk: +#### 3)支付之后,数仓创建时间从几分钟到十几分钟不等,等状态显示“运行中”,则创建完毕。记住数仓的IP地址。 - + +#### 4)登录数据仓库。Greenplum数据仓库的登录有很多方式,比如用PostgreSQL客户端登录,用Greenplum客户端登录,用JDBC(在Java中使用)或者ODBC(在C/C++中使用)访问,用psycopg2(在Python中使用)访问。本实验我们完成PostgreSQL客户端和psycopg2两种方式。其余方式同学们以后可以自行尝试。 + @@ -75,7 +81,7 @@ -#### 4)登录数据库 + ##### 方法一:通过phpMyAdmin网页登录 From 4124b9e9cd24f060282540f5e606f770e831a239 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 20:25:12 +0800 Subject: [PATCH 13/34] Upload New File --- img/assignment5/ass5-pylog.jpg | Bin 0 -> 41710 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+++++++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 70 insertions(+), 6 deletions(-) diff --git a/Assignment5.md b/Assignment5.md index 2e882e4..0d14a17 100644 --- a/Assignment5.md +++ b/Assignment5.md @@ -8,9 +8,10 @@ ## 实验内容 -- 创建MySQL数据库实例并登录: `实验步骤 一)` -- 创建数据库表:`实验步骤 二)` -- 使用Wordpress和MySQL创建个人博客: `实验步骤 三)` +- 创建Greenplum数据仓库实例: `实验步骤 一)` +- 登录数据仓库:`实验步骤 二)` +- 练习建表、查找、删表等基本操作:`实验步骤 三)` +- 使用MADlib完成简单的机器学习任务: `实验步骤 四)` ## 实验要求(仔细看) @@ -42,11 +43,14 @@ `UDW云数据仓库:` 是UCloud的DW产品,基于开源软件Greenplum(底层为PostgreSQL数据库)开发的大规模并发、完全托管的PB级数据仓库服务。支持MADlib、PostGIS等扩展工具,可以方便地支持机器学习、空间地理位置应用等数据分析任务。 +`MADlib:` MADlib提供了一套基于SQL的机器学习、数据挖掘和统计算法,可以在数据库引擎内大规模运行。在Greenplum中安装了MADlib插件以后,可以直接在数据仓库内进行复杂计算和数据建模等工作。 + + 闲话少说,我们开始创建一个UDW玩玩。:ghost: :ghost: :ghost: ## 实验步骤 -### 一)创建Greenplum数据仓库实例并登录 +### 一)创建Greenplum数据仓库实例 #### 1)在产品中选择云数据仓库UDW,然后点击新建数据仓库 @@ -71,12 +75,72 @@ -#### 4)登录数据仓库。Greenplum数据仓库的登录有很多方式,比如用PostgreSQL客户端登录,用Greenplum客户端登录,用JDBC(在Java中使用)或者ODBC(在C/C++中使用)访问,用psycopg2(在Python中使用)访问。本实验我们完成PostgreSQL客户端和psycopg2两种方式。其余方式同学们以后可以自行尝试。 +### 二)登录数据仓库。Greenplum数据仓库的登录有很多方式,比如用PostgreSQL客户端登录,用Greenplum客户端登录,用JDBC(在Java中使用)或者ODBC(在C/C++中使用)访问,用psycopg2(在Python中使用)访问。本实验我们完成PostgreSQL客户端和psycopg2两种方式。其余方式同学们以后可以自行尝试。 + +#### 1)使用PostgreSQL客户端登录。创建一个最低配置的Centos云主机,选择按流量计费,20M带宽,云主机按小时付费。登录以后运行以下命令,安装PostgreSQL客户端psql。 + +#### 2)使用`Python`+`psycopg2`访问。很多时候我们需要在程序中访问数据仓库,比如用Python读取DW中的数据,然后进一步操作。我们可以通过使用`psycopg2`来实现访问。运行以下命令安装`psycopg2`package。 +``` +sudo yum install python3-devel -y +sudo yum install postgresql-libs -y +sudo yum install postgresql-devel -y +sudo yum install gcc -y +pip3 install --user psycopg2 +``` + +##### 1.1)安装完毕后运行python3,然后import psycopg2,若没有报错,则说明psycopg2安装成功。 - + +##### 1.2)quit()退出python3命令行,让我们运行几个Python代码来实现建表,插值,查询等操作。 + +> 建立createTable.py文件,并复制如下代码。其中username,password,hostIP,port都要替换成你的数据仓库参数。 +``` +import psycopg2 +conn = psycopg2.connect(database="dev", user="username", password="password", host="hostIP", port="port") +cur = conn.cursor() +cur.execute('CREATE TABLE COMPANY (ID INT PRIMARY KEY NOT NULL,\ + NAME TEXT NOT NULL,\ + AGE INT NOT NULL,\ + ADDRESS CHAR(10),\ + SALARY REAL);') +conn.commit() +conn.close() +``` + +> 运行createTable.py,如果没有报错,则说明建表成功。 +``` +python3 createTable.py +``` + +> 向COMPANY表中添加一些记录。建立insertTable.py文件,复制如下代码并运行。 +``` +import psycopg2 +conn = psycopg2.connect(database="dev", user="username", password="password", host="hostIP", port="port") +cur = conn.cursor() +cur.execute("INSERT INTO COMPANY VALUES (1, 'Paul', 32, 'California', 20000.00 )"); +cur.execute("INSERT INTO COMPANY VALUES (2, 'Allen', 25, 'Texas', 15000.00 )"); +cur.execute("INSERT INTO COMPANY VALUES (3, 'Eric', 35, 'Florida', 25000.00 )"); +conn.commit() +conn.close() +``` + +> 让我们查询一下刚刚建的表。建立selectTable.py文件,复制如下代码并运行。 +``` +import psycopg2 +conn = psycopg2.connect(database="dev", user="username", password="password", host="hostIP", port="port") +cur = conn.cursor() +cur.execute("SELECT id, name, address, salary from COMPANY order by id") +rows = cur.fetchall() +print ("ID\tNAME\tADDRESS\tSALARY") +for row in rows: + print (row[0], "\t", row[1], "\t", row[2], "\t", row[3]) +conn.close() +``` + + From ffda35ba3a78d476bd4e37d27d83116857f3b5b2 Mon Sep 17 00:00:00 2001 From: xuesong Date: Thu, 5 Nov 2020 21:05:58 +0800 Subject: [PATCH 15/34] Upload New File --- img/assignment5/ass5-pyselect.jpg | Bin 0 -> 31550 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 img/assignment5/ass5-pyselect.jpg diff --git a/img/assignment5/ass5-pyselect.jpg b/img/assignment5/ass5-pyselect.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0d093252ecdd44f2f4b973ce336b168a9d4006cc GIT binary patch literal 31550 zcmb@t2UJtt(=UAJT{;LzuTrIV5S1oksM3iD2%+~HKv8-V5KvH1K#&?iAoNHVkzOLb zBb@{V0)%km^M4=T_kL@AYu)dzZ(yJOV=`y5XP;eW&m1m)TrL50cXjl200II4(8K=# 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