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  <title>badbao</title>
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  <subtitle>Ritchin&#39;s blog | badbao</subtitle>
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  <link href="https://github.com/thisisbadBao/"/>
  <updated>2022-04-27T07:47:59.882Z</updated>
  <id>https://github.com/thisisbadBao/</id>
  
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    <name>thisisbadBao</name>
    <email>thisisbadbao@gmail.com</email>
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  <entry>
    <title>独立游戏策划开发实录</title>
    <link href="https://github.com/thisisbadBao/2022/01/25/lsd/"/>
    <id>https://github.com/thisisbadBao/2022/01/25/lsd/</id>
    <published>2022-01-25T15:04:45.000Z</published>
    <updated>2022-04-27T07:47:59.882Z</updated>
    
    <content type="html"><![CDATA[<p>2022-1-25<br>其实已经开始一段时间了，想着可以记录一下过程。<br>先不说了，和朋友去玩 Pummel Party 了。</p><span id="more"></span><p>2022-2-17<br>最近回到学校了，理一下目前游戏的进度吧。目前美术素材已经比较齐了，不管是人物立绘还是 Q 版，动画也完成了一些，还有场景、武器，几乎已经是要啥有啥了；游戏策划的话世界观已经完善得差不多了，前段时间已经理出了一个比较合理的剧情发展时间线了，每个人物的故事线也留下很多发展的空间，后期还可以做很多工作，但目前就是聚焦在完成一个 demo 的剧情版本，大约 2-3 小时的游戏时长，因为生产力和时间都有限；感觉游戏现在的进度不是很快，最近在想怎么把剧情的对话写好，目前的策略是先不写具体对话的台词，而是将每段对话人物的言语意图和情感、这段对话要用的道具等等列出来，然后再去写台词，初次尝试确实没啥经验，但愿之后能在不断试错中找到一个比较好的出路，现在计划是在 2 月底之前完成对话脚本；游戏程序开发的目前都是瑾哥在进行，用的是他自己写的开源游戏引擎 Dorothy-SSR，现在已经完成了部分场景的搭建、人物的基本操作，还有一些 UI 界面，一直很佩服他为这个游戏所做的一切，应该是热爱吧。至于我的话也想尽快参与到开发中，但我好像一直没有迈出那一步，不知道自己是卡在哪一步了…加油吧。</p><p>2022-3-5<br>最近试着跟着 Dodothy-SSR 里的几个例子初步熟悉了一下引擎的使用，了解了 ECS 系统、相机、物理碰撞什么的，用 Yuescript 写起来很方便；然后试着用 xml 写了游戏内一个手机界面的 UI，就是把素材拼了起来，没有实际的交互，xml 里面也可以内嵌 Yue 和 Lua 的代码，最后是编译成 Lua 代码的。后期打算用 MVVM 架构来写 UI 和数据的逻辑，会更加方便；距离比赛最后提交日还有一个月多几天，接下来一个月尽量不摸鱼了。</p><p>2022-3-22<br>最近进度比较慢，主要在熟悉引擎的使用，因为没有像 unity 一样有一个可视化的编辑器（其实有），也没有 API 文档之类的，所以只能自己一步步摸索，主要方式是学习瑾哥用这个引擎开发的几个游戏例子，这几天熟悉了引擎的 ECS 系统，初步用下来确实写起来很方便清晰，通过一类属性把实体划分成一个个组，然后可以去监听带有指定属性的所有实体，比如可以监听所有带有“hp”属性的实体，当“hp”变化时做什么操作。昨天晚上试着用了一下引擎自带的粒子系统，实现了枪口火焰和子弹的效果，虽然效果还不是很好。<br><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220322173026.png" alt="iShot2022-03-22 17.15.35" style="zoom:50%;" /><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220322173034.png" alt="iShot2022-03-22 17.15.46" style="zoom:50%;" /></p><p>然后怪物也能正常收到子弹的伤害<br><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220322173119.png" alt="iShot2022-03-22 17.16.59"></p><p>写了一下小饕餮的一个简单 AI（其实是照着一个例子改了改），主要就是通过看监测范围内有没有敌人且是否面朝自己，然后就冲过去发动攻击</p><p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220322174137.png" alt="iShot2022-03-22 17.34.24" style="zoom:50%;" /><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220322174154.png" alt="iShot2022-03-22 17.34.56" style="zoom:50%;" /></p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220322174201.png" alt="iShot2022-03-22 17.19.16" style="zoom:50%;" /><hr><p>然后今天看到一个 shader 的教程非常不错，叫<a href="https://thebookofshaders.com/">The Book of Shader</a>，打算跟着上面的例子学着写写看，毕竟游戏里也需要大量美术效果需要 shader 写，而且这个教程用的 glsl 语言也正合 Dorothy 里用的 bgfx 支持的语法类似。</p><p>_gl_FragColor(Vec4)_<br>是 GLSL 的一个默认输出值这个全局变量可以用来<strong>输出</strong>所有像素的颜色，用的是 RGBA，我的理解就是这个东西会在<strong>每帧</strong>遍历屏幕上所有的像素点，然后将一个颜色告诉这个像素；</p><p><em>uniforms</em><br>这个是一种数据类型的定义，表示一个统一的输入值，GPU 的所有线程必须接收相同的数据，并且不能手动修改它，比如<code>uniform float u_time; </code>就表示时间，就是画面加载后的秒数；</p><p>_gl_FragCoord(Vec4)_<br>是一个默认的输入值，表示屏幕上每个像素的坐标，如果想让每个像素的颜色根据坐标变换就可以将坐标规范化后传入<code>gl_FragColor</code>里就可以了；（这里的规范化就是 x/width,y/height，把所有坐标映射到 0-1 之间，因为颜色通道的取值在 0.0 到 1.0 之间）</p><p><em>smoothstep(a,b,x)</em><br>x 小于 a 时返回 0，大于 b 时返回 1，的是 step 函数的升级版，原本 step 以一个值作为分界，而 smoothstep 用两个值作为分界，然后这两个值之间作平滑过渡。</p>]]></content>
    
    
    <summary type="html">&lt;p&gt;2022-1-25&lt;br&gt;其实已经开始一段时间了，想着可以记录一下过程。&lt;br&gt;先不说了，和朋友去玩 Pummel Party 了。&lt;/p&gt;</summary>
    
    
    
    
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    <category term="游戏" scheme="https://github.com/thisisbadBao/tags/%E6%B8%B8%E6%88%8F/"/>
    
  </entry>
  
  <entry>
    <title>2021年度总结</title>
    <link href="https://github.com/thisisbadBao/2021/12/31/2021-summary/"/>
    <id>https://github.com/thisisbadBao/2021/12/31/2021-summary/</id>
    <published>2021-12-31T14:29:57.000Z</published>
    <updated>2022-04-27T07:47:59.884Z</updated>
    
    <content type="html"><![CDATA[<blockquote><p>2021 过得有点快了，我总感觉我昨天还在玩合成大西瓜庆祝寒假开始，现在已经快要步入下一个寒假了，就趁考试周的摸鱼间隙试着写点简短的流水账总结。</p></blockquote><span id="more"></span><h2 id="一月"><a href="#一月" class="headerlink" title="一月"></a>一月</h2><blockquote><ol><li> 1.1 当天一个人绕着莫愁湖逛了一圈</li><li> 活着度过考试周</li><li> 在摸爬滚打下建了自己的博客，注册了人生中第一个域名</li></ol></blockquote><p>第一个月过得比较五味杂陈，大半个月都在纠结疫情和被压缩的考试周（该死的疫情），当时一个礼拜要考九门，其中有四五门难啃的课，我记得倒数第二门是《计算机组成原理》，前一天晚上我在 i++俱乐部的工位上<ruby> 复 <rp>(</rp><rt>自</rt><rp>)</rp> 习 <rp>(</rp><rt>学</rt><rp>)</rp> </ruby>到凌晨一点，然后直接睡在那里的折叠床上了，睡醒再看一会就去考试了，考完立马就去看下一门《离散数学》了。之前对考完那个晚上还是很期待的，但是那个晚上好像并没有很开心。不过第二天就很开心了，因为可以回家了。回家的话就记得我每天睡到中午，看看视频看看剧。</p><h2 id="二月"><a href="#二月" class="headerlink" title="二月"></a>二月</h2><blockquote><ol><li> 看完一部德剧《暗黑》</li><li> 去了一次好久都没去一直都很想去的欢乐谷</li><li> 换了新电脑</li></ol></blockquote><p>之前有跟爸妈说要换电脑，原本以为很难说服他们，但是他们居然很快就答应了，我也挺不好意思的，毕竟也是挺大一笔开销（不过我现在已经把这笔钱赚回来了嘿嘿），很感谢爸妈（不过也得承认有时候会觉得他们烦）。原本信誓旦旦在新电脑到了之后好好学编程知识，结果好像整个寒假就在刷剧和玩耍中度过了，和朋友在一起玩的日子总是快乐的，又短暂的，收拾收拾行李又该回学校了。</p><h2 id="三月"><a href="#三月" class="headerlink" title="三月"></a>三月</h2><blockquote><ol><li> 继幼儿园和爸爸去过动物园后再次去了动物园，南京红山动物园</li><li> 一天之内因为地图的不清楚和车技的原因开了六次长江隧道</li><li> 第一次坐了摩天轮（应该是第一次吧），然后在长江边散步</li><li> 剪了一个非常失败的短发</li></ol></blockquote><p>还好我这个月好好玩了一把，因为四月份几乎全月无休地在上课。冒险租了辆车就出去和朋友玩了，还是很开心的。去了红山动物园、南京眼、长江边，感受到了春天的美好，嗯。</p><h2 id="四月"><a href="#四月" class="headerlink" title="四月"></a>四月</h2><blockquote><ol><li> 清明假期回了趟乡下的家，陪奶奶在淀山湖边散步，翻看了很多老照片</li><li> 成了魔方社社长，用 1500 个魔方拼了一幅图</li><li> 一周七天都有课，做了很多的数电实验，转专业人哭了</li></ol></blockquote><p>突然成为社长，让全是课的四月更加充实了呢。不过现在看觉得当时好像也还好，就是课多了点，感觉自己的抗压能力是有在变强的（因为我有独特的摸鱼技巧）。这个月虽然还是欠了很多 ddl 没做，但是五一假期就可以回家啦，所以最后几天最重要的事情就是等放假。</p><h2 id="五月"><a href="#五月" class="headerlink" title="五月"></a>五月</h2><blockquote><ol><li> 和朋友去了烟花三月要下的扬州，很开心</li><li> 在宿舍吃了非非常常辣的小龙虾拌方便面</li><li> 开始学习前端，两天时间做了一个非常<ruby> 简 <rp>(</rp><rt>丑</rt><rp>)</rp> 单<rp>(</rp><rt>陋</rt><rp>)</rp> </ruby>的网页聊天室（其实是作业），和同学一起 coding 很快乐</li></ol></blockquote><p>那天早上骑着电瓶车，扬州的雨很舒服，我记得那几天吃了很多。回了学校就是赶那些永远也做不完的 ddl，其他的好像也没啥好说的，就是上课写作业睡觉，碌碌无为。噢噢对有一个得记一下，就是给法语老师做了一个简单的小视频，其实是作业啦，但我可没把它当作业看，还为最后一节课的 party 表演了魔方。</p><h2 id="六月"><a href="#六月" class="headerlink" title="六月"></a>六月</h2><blockquote><ol><li> 达成了在网吧写作业的成就</li><li> 喝了很多瓶热带风味冰红茶</li><li> 度过了应该是最后一个有超多考试的考试周</li></ol></blockquote><p>这个月的记忆有点模糊，记得我在考试周前一周还回了一次家，然后在北理哥们的视频下欢乐地度过了考试周。</p><h2 id="七月"><a href="#七月" class="headerlink" title="七月"></a>七月</h2><blockquote><ol><li> 在校体验了一个月暑期实训的 995 生活，喝了很多茶百道</li><li> 加入了一个独立游戏团队，希望自己能坚持做下去</li><li> 烦人的疫情让我半个月内做了八次核酸检测</li><li> 买了一个乒乓拍，和朋友们打球真有意思</li></ol></blockquote><p>先是趁着考完试的那几天回了趟家，记得肯德基的鸡块很烫，回校后开启一个月的暑校（为什么要有暑校，为什么为什么为什么？）暑校后半段南京有疫情了，然后又变成线上，那天在教室里和同学一起写代码赶 ddl 的时候被通知下个月提前开始大三的第一学期。</p><h2 id="八月"><a href="#八月" class="headerlink" title="八月"></a>八月</h2><blockquote><ol><li> 躺着睡着吃着外卖度过了一个月的宿舍网课</li><li> 比较迷茫，每天都在期待什么时候能放假回家</li><li> 回家后和朋友一起打游戏、打乒乓、吃烧烤</li></ol></blockquote><p>虽然是大三第一学期，但是几乎没有听课，上课时间不是在玩手机，就是在床上躺着。很焦虑，但是不知道在焦虑什么。秉着不想麻烦别人的奇怪原则自己一个人完成了社团的招新。回家之后火速和朋友冲向 kfc、乒乓馆，然后晚上一起玩俄罗斯方块。</p><h2 id="九月"><a href="#九月" class="headerlink" title="九月"></a>九月</h2><blockquote><ol><li> 回了自从高考之后就没有回去的高中，和 Sue 聊了一会儿天，然后回 CAD 社团兜了一圈，多了很多 3D 打印机，但还是那个感觉</li><li> 每天都和朋友一起玩拆弹猫，太好玩了</li><li> 晚上和朋友骑车三十公里去赏月，椒麻鸡和手抓羊肉饭很香</li><li> 收到了很多生日礼物，吃了好几次肥猫</li><li> 换了一副眼镜，烫了一次勉强满意的头</li></ol></blockquote><p>过于充实的九月，还是放假的日子最开心，这个月成了家附近一家汤包馆和烧烤店的常客；在一次小意外中了解到互相给朋友留下各自父母电话的重要性；看了《失控玩家》，感觉和自己正在策划的游戏有一点点相似。骑车那天晚上的路上上下下，哼着歌吹着风很惬意，就是那盘椒麻鸡的洋葱有点多了。上大学后难得赶上在家过生日，和爸妈出去一起吃饭，和朋友们聚了很多次，打了很多剧本杀和桌游。</p><h2 id="十月"><a href="#十月" class="headerlink" title="十月"></a>十月</h2><blockquote><ol><li> 一个人搬运 500 多个魔方来回奔波完成摆摊，认识了很多热爱魔方的新生</li><li> 学校解封后和舍友去了夜市，站在街边吃总是会更加好吃一点，所以吃了一口毛鸡蛋</li><li> 在宿舍买了一个小锅，自己偶尔做点吃的</li></ol></blockquote><p>回到学校还是上了两个礼拜的宿舍网课，so 还是没怎么听课；宿舍里多了一口锅和一个小冰箱；在和魔方社新生的交流中逐渐找到了初中时玩魔方的热情，魔友总是会有种神秘的力量。</p><h2 id="十一月"><a href="#十一月" class="headerlink" title="十一月"></a>十一月</h2><blockquote><ol><li> 去了在钟山脚下的海底世界，看了 IMAX 版的《沙丘》</li><li> 在学校食堂吃到了火锅，和同学聊得很开心</li><li> 买了自己的第一台微单相机，试着入门摄影</li><li> 拉了老友一起策划游戏剧情，非常快乐</li><li> 写了很多代码，做了好几个小项目</li><li> 突然发现自己好像可以经济独立了，希望以后也能保持</li></ol></blockquote><p>用宿舍的锅煮了水饺，学校超市的速冻水饺很难吃；因为帮《最强大脑》写了一个 3D 魔方的小程序而成为了录制人员之一，估计之后可以去录制现场瞅一眼。双十一的时候狠狠消费了一把，买了一把键盘、一件毛衣、一个包。这个月和同学约了很多次乒乓，每次打完就去食堂吃夜宵，然后谈天说地聊到食堂关门。在 i++窗子里装了两颗被秋风完全吹黄但是没掉叶子的银杏树，被美到了。学校食堂的火锅也还行，比外面便宜，量还比较多。买了一个 ps4 手柄，玩了一下午的《晶体管》，美术和配乐都很赞，寒假有时间继续玩。这个月吃了很多炒饭，最喜欢“酸豆角鸡蛋炒饭加个蛋在这吃”。</p><h2 id="十二月"><a href="#十二月" class="headerlink" title="十二月"></a>十二月</h2><blockquote><ol><li> 继 19 年末的徐州赛后终于参加了一场魔方比赛，拍了一个 6 秒很开心</li><li> 和同学一起喝了很多啤酒，去了一次 ktv，在外面吃了好几顿</li><li> 狂赶十几份课程报告和大作业，精神归西，只想多眯</li><li> 试图在三四天之内补完落下的课业顺带复习考试</li><li> 在 2021 年的倒数第二天以最快速度冲上栖霞山拍到了日落的尾巴</li></ol></blockquote><p>这个月好像有点浪，但我发现自己逐渐好像可以应付焦虑了，感觉可能是找到了自己以后的生活方向了。每次去魔方比赛总是会认识一些新魔友，并且见到很久没见的老魔友，只要在一起玩魔方，我们就能聊一整天。和同学一起赶 ddl 的日子还是痛并快乐的，一起挤在食堂的小沙发上，吃着 kfc。在临近考试的时候才发现自己这个学期好像根本就没有认真听过课，几乎每节课都在干自己想干的事，比如睡觉和写代码，所以到了考试前才知道自己完了，不过好在第一门是开卷考，第二门感觉也能比较轻松应对，所以复习也就划水过去了。第二门考完是 30 号中午，直接和同学冲出校门吃了今年最后一次疯四和三年没吃的章鱼小丸子，傍晚登上了一路都没有灯的栖霞山，在路上还遇到了野猪。跨年的晚上点了一个披萨在宿舍，写着年度总结。感觉今年的上半年是迷茫的，下半年是酣畅的，失去了一些，但得到了更多。</p><p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20220101170702.png" alt="iShot2022-01-01 17.05.17"></p>]]></content>
    
    
    <summary type="html">&lt;blockquote&gt;
&lt;p&gt;2021 过得有点快了，我总感觉我昨天还在玩合成大西瓜庆祝寒假开始，现在已经快要步入下一个寒假了，就趁考试周的摸鱼间隙试着写点简短的流水账总结。&lt;/p&gt;
&lt;/blockquote&gt;</summary>
    
    
    
    
    <category term="总结" scheme="https://github.com/thisisbadBao/tags/%E6%80%BB%E7%BB%93/"/>
    
    <category term="2021" scheme="https://github.com/thisisbadBao/tags/2021/"/>
    
  </entry>
  
  <entry>
    <title>数据库原理复习（考前救急专用）</title>
    <link href="https://github.com/thisisbadBao/2021/12/25/db_review/"/>
    <id>https://github.com/thisisbadBao/2021/12/25/db_review/</id>
    <published>2021-12-25T06:30:06.000Z</published>
    <updated>2022-04-27T07:47:59.882Z</updated>
    
    <content type="html"><![CDATA[<h1 id="Chapter-1-数据库系统引论"><a href="#Chapter-1-数据库系统引论" class="headerlink" title="Chapter 1 数据库系统引论"></a>Chapter 1 数据库系统引论</h1><h2 id="简介"><a href="#简介" class="headerlink" title="简介"></a>简介</h2><p>主要参考的是王能斌老师编写的《数据库系统教程》第二版上册，每个标题旁边是对应书上的页码。</p><p><del>可恶啊，这学期数据库没怎么听课，还有三天就期末考了，我能补回来吗？</del></p><span id="more"></span><h2 id="数据库基本概念-P2-5"><a href="#数据库基本概念-P2-5" class="headerlink" title="数据库基本概念 P2-5"></a>数据库基本概念 P2-5</h2><p>数据库：A very large, integrated collection of data.</p><p>DBMS：A software package designed to store and manage databases.</p><ul><li>文件系统 vs 数据库<ul><li>应用程序需要在主存和外存中存储大量数据</li><li>对不同的查询有专属的代码</li><li>确保数据不会因为多并发用户而产生不一致性</li><li>对于崩溃的恢复</li><li>安全和访问的控制</li></ul></li></ul><p>数据库系统特点：P6-7</p><h2 id="数据库三级模式与两级数据独立性-P-7-9"><a href="#数据库三级模式与两级数据独立性-P-7-9" class="headerlink" title="数据库三级模式与两级数据独立性 P 7-9"></a>数据库三级模式与两级数据独立性 P 7-9</h2><ul><li><p>数据(Data)：对事物描述的符号记录</p></li><li><p>数据模型(Data Model)：用来描述数据的一组概念和定义</p></li><li><p>数据模式(Data Schema)：对某一类数据的结构、联系和约束的描述</p></li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212857.png" alt="image-20211225162834379" style="zoom:30%;" /><ul><li>应用程序应该独立于数据是如何组织和存储的<ul><li>逻辑独立性：Protection from changes in <em>logical</em> structure of data.</li><li>物理独立性：Protection from changes in <em>physical</em> structure of data.</li></ul></li></ul><h2 id="数据库系统的组成与生命期-P10"><a href="#数据库系统的组成与生命期-P10" class="headerlink" title="数据库系统的组成与生命期 P10"></a>数据库系统的组成与生命期 P10</h2><ul><li>组成</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212905.png" alt="image-20211225162853588" style="zoom:30%;" /><ul><li>生命周期<ul><li>数据库系统规划</li><li>数据库设计</li><li>数据库建立</li><li>数据库运行、管理和维护</li><li>数据库的扩充和重构</li></ul></li></ul><h1 id="Chapter-2-数据模型"><a href="#Chapter-2-数据模型" class="headerlink" title="Chapter 2 数据模型"></a>Chapter 2 数据模型</h1><h2 id="层次数据模型-P12-17"><a href="#层次数据模型-P12-17" class="headerlink" title="层次数据模型 P12-17"></a>层次数据模型 P12-17</h2><ul><li>Basic idea:<ul><li>记录（record）和字段（field）</li><li>Parent-Child relationship</li><li>虚拟记录<ul><li>大量指针增加数据库开销，数据模式不够清晰、直观</li></ul></li></ul></li></ul><h2 id="网状数据模型-P17-21"><a href="#网状数据模型-P17-21" class="headerlink" title="网状数据模型 P17-21"></a>网状数据模型 P17-21</h2><ul><li>Basic idea:<ul><li>记录和数据项（data items）</li><li>系（set）</li></ul></li></ul><h2 id="关系数据模型（重划点）P21-25"><a href="#关系数据模型（重划点）P21-25" class="headerlink" title="关系数据模型（重划点）P21-25"></a>关系数据模型（重划点）P21-25</h2><ul><li><p>基本数据结构：表（或者说是一种关系），可以用严格的数学方法来研究。</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212910.png" alt="image-20211225192821308" style="zoom:30%;" /><ul><li>软连接：</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211226101209.png" alt="image-20211225193445171" style="zoom:50%;" /></li><li><p>关系</p><ul><li>相当于一个表（table），包含多个元组</li><li>关系 R 的 schema：$R=(A_{1}, A_{2},…,A_{n})$，其中 A 是属性名，n 为关系的目（degree）。</li></ul></li><li><p>键</p><ul><li>候选键（candidate key）可以<strong>由一个或多个属性</strong>构成，简称键。</li><li>至少一个候选键，选择一个作为<strong>主键（primarykey）</strong>，其他候选键为补键（alternate key）</li><li>超键（super key），至少包含一个键的属性组（{学号、出生年月}）</li><li>全键（all key），主键由所有属性构成</li><li>主属性和非主属性</li><li>外键（foreign key），一个逻辑指针，指向另一个表中的元组</li></ul></li><li><p>完整性约束：语意施加在数据上的限制（只有在数据库更新是检查完整性约束）</p><ul><li>域完整性约束：在域中</li><li>实体完整性约束：有不为空的主键</li><li>引用完整性约束：对应外键的元组相等或不存在</li><li>一般性完整性约束：所有约束</li></ul></li></ul><h2 id="关系代数（Realtional-Algebra）P25-29"><a href="#关系代数（Realtional-Algebra）P25-29" class="headerlink" title="关系代数（Realtional Algebra）P25-29"></a>关系代数（Realtional Algebra）P25-29</h2><ul><li><p>选择操作（selection）：选取某些行</p></li><li><p>投影操作（projection）：选取某些列（产生重复元组）</p></li><li><p>集合操作（cross-product）：并、差、交（要满足并兼容，目、域都相同）</p><ul><li>笛卡尔乘积（不必并兼容）：所有元组各种可能的组合</li></ul></li><li><p>连接操作（join operation）：只连接满足条件的，没有条件的话就是笛卡尔（如不说明，就是自然连接，会消除冗余的等连接）</p></li><li><p>除操作（division）：</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212917.png" alt="image-20211225203527970" style="zoom:50%;" /></li><li><p>外连接（outer join）：左，右，全</p><ul><li>与连接的区别在于外连接会保留非匹配元组，空缺部分填 NULL</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212921.png" alt="image-20211225203740154" style="zoom:30%;" /></li><li><p>外并（outer union）：不用并兼容，无属性的话补 NULL</p></li></ul><h2 id="关系演算（Relational-Calculus）P29-30"><a href="#关系演算（Relational-Calculus）P29-30" class="headerlink" title="关系演算（Relational Calculus）P29-30"></a>关系演算（Relational Calculus）P29-30</h2><ul><li>元组关系演算（Tuple Relational Calculus）<ul><li><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212925.png" alt="image-20211225205159410" style="zoom:50%;" /></li></ul></li><li>域关系演算（Domain Relational Calculus）<ul><li><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211225212928.png" alt="image-20211225205647752" style="zoom:30%;" /></li></ul></li></ul><h2 id="传统数据模型评价-P30-33"><a href="#传统数据模型评价-P30-33" class="headerlink" title="传统数据模型评价 P30-33"></a>传统数据模型评价 P30-33</h2><ul><li>层次、网状、关系数据模型都是传统数据模型<ul><li>适用于 OLTP(On-Line Transaction Processing)</li><li>以记录为基础，不能更好的面向用户和应用</li><li>不能用一种很自然的模式表达实体之间的关系</li><li>缺少语义信息</li><li>数据类型少，很难满足应用的需求</li></ul></li></ul><h2 id="ER-数据模型和面向对象数据模型-P33-44"><a href="#ER-数据模型和面向对象数据模型-P33-44" class="headerlink" title="ER 数据模型和面向对象数据模型 P33-44"></a>ER 数据模型和面向对象数据模型 P33-44</h2><ul><li><p>ER 实体：现实世界中可以和其他物体区分的物体，用一组<strong>属性</strong>来描述</p></li><li><p>实体集（Entity Set）：相似实体的集合（例子：所有员工）</p></li><li><p>ER 图 P37-39</p><ul><li>弱实体（不能单独存在）</li><li>特殊化和普遍化</li><li>聚集</li><li>范畴</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211226113603.png" alt="image-20211226113554168" style="zoom:50%;" /><p>（这部分应该不会考很多吧，我就先不看了）</p></li></ul><p><del>今天又摸了半天鱼，晚安</del></p><h1 id="Chapter-3-数据库语言-SQL"><a href="#Chapter-3-数据库语言-SQL" class="headerlink" title="Chapter 3 数据库语言 SQL"></a>Chapter 3 数据库语言 SQL</h1><h2 id="SQL-简介-P56-57"><a href="#SQL-简介-P56-57" class="headerlink" title="SQL 简介 P56-57"></a>SQL 简介 P56-57</h2><ul><li><p>Structured Query Language(or Standard Query Language)</p></li><li><p>一种非过程语言，用户不需要说明如何获取数据，而只用说需要什么数据</p></li><li><p>四个功能</p><ul><li>用来定义、删除或者改变数据模式（Data Definition Language）</li><li>用来取数据（Query language）<code>本章重点</code></li><li>用来插入、删除或者更新数据（Data Manipulation Language）<code>本章重点</code></li><li>用来控制用户访问数据的权限（Data Control Language）</li></ul></li><li><p>基本概念</p><ul><li>基表：数据显示地存在数据库中</li><li>视图：虚表</li></ul></li></ul><h2 id="查询语言"><a href="#查询语言" class="headerlink" title="查询语言"></a>查询语言</h2><h3 id="查询语句基本结构-P62-63"><a href="#查询语句基本结构-P62-63" class="headerlink" title="查询语句基本结构 P62-63"></a>查询语句基本结构 P62-63</h3><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">SELECT</span> <span class="token punctuation">[</span><span class="token keyword">DISTINCT</span><span class="token punctuation">]</span> target<span class="token operator">-</span>list  <span class="token comment">//DISTINCT，消除重复元组</span><span class="token keyword">FROM</span>   relation<span class="token operator">-</span>list   <span class="token comment">//关系列表</span><span class="token keyword">WHERE</span>   qualification    <span class="token comment">//条件</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span></span></code></pre><p><strong>执行顺序：</strong> FROM WHERE GROUP BY HAVING SELECT ORDER BY<em>（重要！）</em></p><h3 id="简单查询语句-P63-64"><a href="#简单查询语句-P63-64" class="headerlink" title="简单查询语句 P63-64"></a>简单查询语句 P63-64</h3><ul><li><p>后面的例子需要用到的表</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211231172433.png" alt="image-20211226170440441" style="zoom:35%;" /></li><li><p>范围变量（Range Variables）<code>AS</code></p><ul><li>就是给<code>FROM</code>后的表取别名</li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//正常写法</span><span class="token keyword">SELECT</span> sname<span class="token keyword">FROM</span> Sailors<span class="token punctuation">,</span> Reserves<span class="token keyword">WHERE</span> Sailors<span class="token punctuation">.</span>sid<span class="token operator">=</span>Reserves<span class="token punctuation">.</span>sid <span class="token operator">AND</span> bid<span class="token operator">=</span><span class="token number">103</span><span class="token comment">//取别名</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span> Reserves R<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid <span class="token operator">AND</span> bid<span class="token operator">=</span><span class="token number">103</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li>使用表达式 <code>=</code> <code>AS</code> <code>LIKE</code></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>age<span class="token punctuation">,</span> age1<span class="token operator">=</span>S<span class="token punctuation">.</span>age<span class="token operator">-</span><span class="token number">5</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token operator">*</span>S<span class="token punctuation">.</span>age <span class="token keyword">AS</span> age2  <span class="token comment">//AS和’=‘一样，</span><span class="token keyword">FROM</span> Sailors S<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sname <span class="token operator">LIKE</span> ‘B_<span class="token operator">%</span>B’ <span class="token comment">//'_'表示任意一个字符，'%'表示零个及以上个任意字符</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span></span></code></pre><h3 id="基于集合操作的查询语句-P69"><a href="#基于集合操作的查询语句-P69" class="headerlink" title="基于集合操作的查询语句 P69"></a>基于集合操作的查询语句 P69</h3><ul><li><p>用集合的并集和交集</p><ul><li><code>UNION</code> 相当于<code>OR</code></li><li><code>UNION ALL</code> 表示将所有元组并起来，包括那些重复项，<code>UNION</code>则会去除重复项</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找出预定过红船或绿船的水手</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sid<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span> Boats B<span class="token punctuation">,</span> Reserves R<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span>B<span class="token punctuation">.</span>bid <span class="token operator">AND</span> B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘red’<span class="token keyword">UNION</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sid<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span> Boats B<span class="token punctuation">,</span> Reserves R<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span>B<span class="token punctuation">.</span>bid <span class="token operator">AND</span> B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘green’<span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sid<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span>Boats B<span class="token punctuation">,</span>Reserves R<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span>B<span class="token punctuation">.</span>bid <span class="token operator">AND</span> <span class="token punctuation">(</span>B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘red’ <span class="token operator">OR</span> B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘green’<span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li><code>INTERSECT</code> 相当于 <code>AND</code></li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找出同时预定红船和绿船的水手</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sid<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span> Boats B<span class="token punctuation">,</span> Reserves R<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span>B<span class="token punctuation">.</span>bid <span class="token operator">AND</span> B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘red’<span class="token keyword">INTERSECT</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sid<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span> Boats B<span class="token punctuation">,</span> Reserves R<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span>B<span class="token punctuation">.</span>bidAND B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘green’<span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sid<span class="token keyword">FROM</span> Sailors S<span class="token punctuation">,</span> Boats B1<span class="token punctuation">,</span> Reserves R1<span class="token punctuation">,</span> Boats B2<span class="token punctuation">,</span> Reserves R2<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R1<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R1<span class="token punctuation">.</span>bid<span class="token operator">=</span>B1<span class="token punctuation">.</span>bid <span class="token operator">AND</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R2<span class="token punctuation">.</span>sid <span class="token operator">AND</span> R2<span class="token punctuation">.</span>bid<span class="token operator">=</span>B2<span class="token punctuation">.</span>bid <span class="token operator">AND</span> <span class="token punctuation">(</span>B1<span class="token punctuation">.</span>color<span class="token operator">=</span>‘red’ <span class="token operator">AND</span>B2<span class="token punctuation">.</span>color<span class="token operator">=</span>‘green’<span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h3 id="基于嵌套子查询的查询语句-P66-67"><a href="#基于嵌套子查询的查询语句-P66-67" class="headerlink" title="基于嵌套子查询的查询语句 P66-67"></a>基于嵌套子查询的查询语句 P66-67</h3><ul><li>Nested Queries<ul><li>就是在<code>FROM</code> <code>WHERE</code> <code>SELECT</code> 中也可以用 sql 查询 <code>IN</code> <code>NOT IN</code></li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//查找预定过103号船的水手，如果用`NOT IN`就表示没预定过103</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname<span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sid <span class="token operator">IN</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> R<span class="token punctuation">.</span>sid    <span class="token comment">//意思是这个值在选出来的表中</span><span class="token keyword">FROM</span> ReservesR  <span class="token keyword">WHERE</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span><span class="token number">103</span><span class="token punctuation">)</span><span class="token comment">// `(NOT)IN` 也可以用 `(NOT)EXISTS`代替，写法略有不同</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname<span class="token keyword">FROM</span> Sailors S<span class="token keyword">WHERE</span> <span class="token keyword">EXISTS</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token operator">*</span>     <span class="token comment">//意思应该是存在这样的元组</span><span class="token keyword">FROM</span> ReservesR   <span class="token keyword">WHERE</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span><span class="token number">103</span> <span class="token operator">AND</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid<span class="token punctuation">)</span><span class="token comment">//如果要查找只预定过一次103这艘船的水手名字呢？</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname<span class="token keyword">FROM</span> Sailors S<span class="token keyword">WHERE</span> <span class="token keyword">EXISTS</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token operator">*</span><span class="token keyword">FROM</span> Reserves R   <span class="token keyword">WHERE</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span><span class="token number">103</span> <span class="token operator">AND</span> S<span class="token punctuation">.</span>sid<span class="token operator">=</span>R<span class="token punctuation">.</span>sid<span class="token punctuation">)</span>   <span class="token operator">NOT</span> <span class="token keyword">EXISTS</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token operator">*</span>                 <span class="token keyword">FROM</span> Reserves R1<span class="token punctuation">,</span> Reserves R2<span class="token punctuation">)</span>                  <span class="token keyword">WHERE</span> <span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>                  <span class="token operator">AND</span> R1<span class="token punctuation">.</span><span class="token keyword">day</span> <span class="token operator">!=</span> R2<span class="token punctuation">.</span><span class="token keyword">day</span><span class="token comment">//查找只被一个水手预定过的船的bid</span><span class="token keyword">SELECT</span> bid<span class="token keyword">FROM</span> Reserves R1<span class="token keyword">WHERE</span> bid <span class="token operator">NOT</span> <span class="token operator">IN</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> bid          <span class="token comment">//被其他水手订过的船的bid</span><span class="token keyword">FROM</span> Reserves R2                  <span class="token keyword">WHERE</span> R2<span class="token punctuation">.</span>sid ¬<span class="token operator">=</span> R1<span class="token punctuation">.</span>sid<span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li><code>op ANY</code> <code>op ALL</code></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找到一个水手比至少一个叫Horatio的水手评分高的（只要比一个高就行）</span><span class="token keyword">SELECT</span> <span class="token operator">*</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>rating<span class="token operator">></span><span class="token keyword">ANY</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> S2<span class="token punctuation">.</span>rating<span class="token keyword">FROM</span> SailorsS2<span class="token keyword">WHERE</span> S2<span class="token punctuation">.</span>sname<span class="token operator">=</span>‘Horatio’<span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h3 id="除法与聚集函数计算-P66"><a href="#除法与聚集函数计算-P66" class="headerlink" title="除法与聚集函数计算 P66"></a>除法与聚集函数计算 P66</h3><ul><li>Division</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//查找那些预定过所有船的水手</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname <span class="token keyword">FROM</span> Sailors S<span class="token keyword">WHERE</span> <span class="token operator">NOT</span> <span class="token keyword">EXISTS</span>         <span class="token comment">//不存在没有预定的船</span>        <span class="token punctuation">(</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> B<span class="token punctuation">.</span>bid <span class="token keyword">FROM</span> Boats B<span class="token punctuation">)</span>          <span class="token keyword">EXCEPT</span>          <span class="token comment">//排除那些已经有人预定过的船的bid</span>         <span class="token punctuation">(</span><span class="token keyword">SELECT</span> R<span class="token punctuation">.</span>bid          <span class="token keyword">FROM</span> Reserves R          <span class="token keyword">WHERE</span> R<span class="token punctuation">.</span>sid<span class="token operator">=</span>S<span class="token punctuation">.</span>sid<span class="token punctuation">)</span><span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li>Aggregate Operators<ul><li>COUNTS(*)：统计找到的元组总数</li><li>COUNT([DISTINCT] A)：返回不重复的属性 A 的值有多少个</li><li>SUM([DISTINCT] A)：返回不重复的属性 A 的值总和</li><li>AVG([DISTINCT] A)：返回不重复的属性 A 的值平均值</li><li>MAX(A)：属性 A 所有值中的最大值</li><li>MIN(A)：属性 A 所有值中的最小值</li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">SELECT</span> <span class="token function">COUNT</span> <span class="token punctuation">(</span><span class="token operator">*</span><span class="token punctuation">)</span>   <span class="token comment">//所有的元组</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">SELECT</span> <span class="token function">AVG</span> <span class="token punctuation">(</span>S<span class="token punctuation">.</span>age<span class="token punctuation">)</span>   <span class="token comment">//评分为10的水手平均年龄</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>rating<span class="token operator">=</span><span class="token number">10</span><span class="token keyword">SELECT</span> <span class="token function">COUNT</span> <span class="token punctuation">(</span><span class="token keyword">DISTINCT</span> S<span class="token punctuation">.</span>rating<span class="token punctuation">)</span>   <span class="token comment">//叫Bob的有多少种评分</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>sname<span class="token operator">=</span>‘Bob’<span class="token keyword">SELECT</span> <span class="token function">AVG</span> <span class="token punctuation">(</span><span class="token keyword">DISTINCT</span> S<span class="token punctuation">.</span>age<span class="token punctuation">)</span>   <span class="token comment">//评分为10的有几种年龄</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>rating<span class="token operator">=</span><span class="token number">10</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname        <span class="token comment">//评分最高的水手名字</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>rating<span class="token operator">=</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">MAX</span><span class="token punctuation">(</span>S2<span class="token punctuation">.</span>rating<span class="token punctuation">)</span><span class="token keyword">FROM</span> SailorsS2<span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h3 id="分组聚集函数计算-P68-69"><a href="#分组聚集函数计算-P68-69" class="headerlink" title="分组聚集函数计算 P68-69"></a>分组聚集函数计算 P68-69</h3><ul><li><p>为什么分组</p><ul><li>例子：要找到每种评分中最年轻的水手（不知道有几种评分）</li></ul></li><li><p><code>GROUP BY</code> <code>HAVING </code> <em>通常会和聚集函数一起用</em></p><ul><li>按列的值分组，一样的分在一组</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">SELECT</span> <span class="token punctuation">[</span><span class="token keyword">DISTINCT</span><span class="token punctuation">]</span> target<span class="token operator">-</span>list<span class="token keyword">FROM</span> relation<span class="token operator">-</span>list<span class="token keyword">WHERE</span> qualification<span class="token keyword">GROUP</span> <span class="token keyword">BY</span> grouping<span class="token operator">-</span>list<span class="token keyword">HAVING</span> <span class="token keyword">group</span><span class="token operator">-</span>qualification  <span class="token comment">//属性必须是grouping-list的子集，不然语法报错</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li>例子：</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找到年龄大于18的最年轻水手的年纪，并且这个水手的评分必须至少还有一人和他一样</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>rating<span class="token punctuation">,</span> <span class="token function">MIN</span> <span class="token punctuation">(</span>S<span class="token punctuation">.</span>age<span class="token punctuation">)</span> <span class="token keyword">AS</span> minage  <span class="token comment">//SELECT最后执行</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>age <span class="token operator">>=</span> <span class="token number">18</span><span class="token keyword">GROUP</span> <span class="token keyword">BY</span> S<span class="token punctuation">.</span>rating<span class="token keyword">HAVING</span> <span class="token function">COUNT</span> <span class="token punctuation">(</span><span class="token operator">*</span><span class="token punctuation">)</span> <span class="token operator">></span> <span class="token number">1</span>  <span class="token comment">//HAVING COUNT (*) > 1 AND EVERY (S.age &lt;=60)表示组内水手必须满足所有人年龄小于60</span><span class="token comment">//找到每艘红船的预定数量</span><span class="token keyword">SELECT</span> B<span class="token punctuation">.</span>bid<span class="token punctuation">,</span> <span class="token function">COUNT</span> <span class="token punctuation">(</span><span class="token operator">*</span><span class="token punctuation">)</span> <span class="token keyword">AS</span> scount  <span class="token comment">//3. 再统计每组的数量</span><span class="token keyword">FROM</span> Boats B<span class="token punctuation">,</span>Reserves R<span class="token keyword">WHERE</span> R<span class="token punctuation">.</span>bid<span class="token operator">=</span>B<span class="token punctuation">.</span>bid <span class="token operator">AND</span> B<span class="token punctuation">.</span>color<span class="token operator">=</span>‘red’  <span class="token comment">//1. 先找到红船</span><span class="token keyword">GROUP</span> <span class="token keyword">BY</span> B<span class="token punctuation">.</span>bid  <span class="token comment">//2.然后分组</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li>聚集函数不能嵌套使用<ul><li>例子</li></ul></li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找到平均年龄最小的评分</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>rating<span class="token keyword">FROM</span> Sailors S<span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>age <span class="token operator">=</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">MIN</span> <span class="token punctuation">(</span><span class="token function">AVG</span> <span class="token punctuation">(</span>S2<span class="token punctuation">.</span>age<span class="token punctuation">)</span><span class="token punctuation">)</span>   <span class="token comment">//错误！！！</span><span class="token keyword">FROM</span> Sailors S2<span class="token punctuation">)</span><span class="token comment">//改正</span><span class="token keyword">SELECT</span> <span class="token keyword">Temp</span><span class="token punctuation">.</span>rating<span class="token keyword">FROM</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>rating<span class="token punctuation">,</span> <span class="token function">AVG</span> <span class="token punctuation">(</span>S<span class="token punctuation">.</span>age<span class="token punctuation">)</span> <span class="token keyword">AS</span> avgage  <span class="token comment">//2.再取每个组内的平均值</span><span class="token keyword">FROM</span> SailorsS<span class="token keyword">GROUP</span> <span class="token keyword">BY</span> S<span class="token punctuation">.</span>rating<span class="token punctuation">)</span> <span class="token keyword">AS</span> <span class="token keyword">Temp</span>    <span class="token comment">//1.先按评分分组</span><span class="token keyword">WHERE</span> <span class="token keyword">Temp</span><span class="token punctuation">.</span>avgage <span class="token operator">=</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">MIN</span> <span class="token punctuation">(</span><span class="token keyword">Temp</span><span class="token punctuation">.</span>avgage<span class="token punctuation">)</span>  <span class="token comment">//3.取平均值值最小的</span><span class="token keyword">FROM</span> <span class="token keyword">Temp</span><span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><p><del>fuck 今天是一点不想复习啊</del></p><h3 id="CAST-与-CASE-表达式"><a href="#CAST-与-CASE-表达式" class="headerlink" title="CAST 与 CASE 表达式"></a>CAST 与 CASE 表达式</h3><ul><li><p>CAST</p><blockquote><p>强制数据类型转换</p></blockquote></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">SELECT</span> name<span class="token punctuation">,</span> school<span class="token punctuation">,</span> CAST<span class="token punctuation">(</span><span class="token boolean">NULL</span> <span class="token keyword">AS</span> <span class="token keyword">Varchar</span><span class="token punctuation">(</span><span class="token number">20</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token keyword">FROM</span> Students<span aria-hidden="true" class="line-numbers-rows"><span></span><span></span></span></code></pre><ul><li><p>CASE</p><blockquote><p>跟在 SELECT 后面</p></blockquote></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//Officers (name, status, rank, title)</span><span class="token keyword">SELECT</span> name<span class="token punctuation">,</span> <span class="token keyword">CASE</span> <span class="token keyword">status</span>              <span class="token keyword">WHEN</span> <span class="token number">1</span> <span class="token keyword">THEN</span> ‘Active Duty’              <span class="token keyword">WHEN</span> <span class="token number">2</span> <span class="token keyword">THEN</span> ‘Reserve’              <span class="token keyword">WHEN</span> <span class="token number">3</span> <span class="token keyword">THEN</span> ‘Special Assignment’              <span class="token keyword">WHEN</span> <span class="token number">4</span> <span class="token keyword">THEN</span> ‘Retired’              <span class="token keyword">ELSE</span> ‘Unknown’              <span class="token keyword">END</span>            <span class="token keyword">AS</span> <span class="token keyword">status</span><span class="token keyword">FROM</span> Officers<span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h3 id="标量子查询"><a href="#标量子查询" class="headerlink" title="标量子查询"></a>标量子查询</h3><blockquote><p>dept(deptno, deptname, location)</p><p>emp(deptno, salary, bonus)</p></blockquote><ul><li>就是这个子查询只会返回一个元组</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找到那些平均奖金高于平均工资的部门</span><span class="token keyword">SELECT</span> d<span class="token punctuation">.</span>deptname<span class="token punctuation">,</span> d<span class="token punctuation">.</span>location<span class="token keyword">FROM</span> dept <span class="token keyword">AS</span> d<span class="token keyword">WHERE</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">avg</span><span class="token punctuation">(</span>bonus<span class="token punctuation">)</span>FORM emp<span class="token keyword">WHERE</span> deptno<span class="token operator">=</span>d<span class="token punctuation">.</span>deptno<span class="token punctuation">)</span><span class="token operator">></span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">avg</span><span class="token punctuation">(</span>salary<span class="token punctuation">)</span>FORM emp<span class="token keyword">WHERE</span> deptno<span class="token operator">=</span>d<span class="token punctuation">.</span>deptno<span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h3 id="表表达式与公共表表达式"><a href="#表表达式与公共表表达式" class="headerlink" title="表表达式与公共表表达式"></a>表表达式与公共表表达式</h3><ul><li>Table Expression<ul><li>就是说会返回一个表</li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql">找到那些总支出大于<span class="token number">200000</span>的部门们<span class="token keyword">SELECT</span> deptno<span class="token punctuation">,</span> totalpay<span class="token keyword">FROM</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> deptno<span class="token punctuation">,</span> <span class="token function">sum</span><span class="token punctuation">(</span>salay<span class="token punctuation">)</span><span class="token operator">+</span><span class="token function">sum</span><span class="token punctuation">(</span>bonus<span class="token punctuation">)</span> <span class="token keyword">AS</span> totalpay<span class="token keyword">FROM</span> emp<span class="token keyword">GROUP</span> <span class="token keyword">BY</span> deptno<span class="token punctuation">)</span> <span class="token keyword">AS</span> payroll <span class="token keyword">WHERE</span> totalpay<span class="token operator">></span><span class="token number">200000</span><span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li>Common Table Expression<ul><li>用<code>WITH</code>创建一个临时表相当于</li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找到总支出最大的部门</span><span class="token keyword">WITH</span> payroll <span class="token punctuation">(</span>deptno<span class="token punctuation">,</span> totalpay<span class="token punctuation">)</span> <span class="token keyword">AS</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> deptno<span class="token punctuation">,</span> <span class="token function">sum</span><span class="token punctuation">(</span>salary<span class="token punctuation">)</span><span class="token operator">+</span><span class="token function">sum</span><span class="token punctuation">(</span>bonus<span class="token punctuation">)</span>     <span class="token keyword">FROM</span> emp   <span class="token keyword">GROUP</span> <span class="token keyword">BY</span> deptno<span class="token punctuation">)</span><span class="token keyword">SELECT</span> deptno<span class="token keyword">FROM</span> payroll<span class="token keyword">WHERE</span> totalpay <span class="token operator">=</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">max</span><span class="token punctuation">(</span>totalpay<span class="token punctuation">)</span><span class="token keyword">FROM</span> payroll<span class="token punctuation">)</span><span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h3 id="递归子查询"><a href="#递归子查询" class="headerlink" title="递归子查询"></a>递归子查询</h3><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//找到所有上司是Hoover的员工，并且他们的薪水都高于100000</span><span class="token keyword">WITH</span> agents <span class="token punctuation">(</span>name<span class="token punctuation">,</span> salary<span class="token punctuation">)</span> <span class="token keyword">AS</span>  <span class="token punctuation">(</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> name<span class="token punctuation">,</span> salary     <span class="token comment">--initial query</span><span class="token keyword">FROM</span> FedEmp<span class="token keyword">WHERE</span> manager<span class="token operator">=</span>‘Hoover’<span class="token punctuation">)</span><span class="token keyword">UNION</span> <span class="token keyword">ALL</span> <span class="token punctuation">(</span><span class="token keyword">SELECT</span> f<span class="token punctuation">.</span>name<span class="token punctuation">,</span> f<span class="token punctuation">.</span>salary   <span class="token comment">--recursive query</span><span class="token keyword">FROM</span> agents <span class="token keyword">AS</span> a<span class="token punctuation">,</span> FedEmp <span class="token keyword">AS</span> f<span class="token keyword">WHERE</span> f<span class="token punctuation">.</span>manager <span class="token operator">=</span> a<span class="token punctuation">.</span>name<span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token keyword">SELECT</span> name                 <span class="token comment">--final query</span><span class="token keyword">FROM</span> agents<span class="token keyword">WHERE</span> salary<span class="token operator">></span><span class="token number">100000</span> <span class="token punctuation">;</span><span class="token comment">//一个比较复杂的例子</span><span class="token keyword">WITH</span> trips <span class="token punctuation">(</span>destination<span class="token punctuation">,</span> route<span class="token punctuation">,</span> nsegs<span class="token punctuation">,</span> totalcost<span class="token punctuation">)</span> <span class="token keyword">AS</span><span class="token punctuation">(</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> destination<span class="token punctuation">,</span> CAST<span class="token punctuation">(</span>destination <span class="token keyword">AS</span> <span class="token keyword">varchar</span><span class="token punctuation">(</span><span class="token number">20</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">,</span> cost<span class="token keyword">FROM</span> flights              <span class="token comment">--- initial query</span><span class="token keyword">WHERE</span> origin<span class="token operator">=</span>‘SFO’<span class="token punctuation">)</span>     <span class="token keyword">UNION</span> <span class="token keyword">ALL</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> f<span class="token punctuation">.</span>destination<span class="token punctuation">,</span> <span class="token comment">--- recursive query</span>       CAST<span class="token punctuation">(</span>t<span class="token punctuation">.</span>route<span class="token operator">||</span>’<span class="token punctuation">,</span>’<span class="token operator">||</span>f<span class="token punctuation">.</span>destination <span class="token keyword">AS</span> <span class="token keyword">varchar</span><span class="token punctuation">(</span><span class="token number">20</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span>t<span class="token punctuation">.</span>nsegs<span class="token operator">+</span><span class="token number">1</span><span class="token punctuation">,</span> t<span class="token punctuation">.</span>totalcost<span class="token operator">+</span>f<span class="token punctuation">.</span>cost  <span class="token keyword">FROM</span> trips t<span class="token punctuation">,</span> flights f       <span class="token keyword">WHERE</span> t<span class="token punctuation">.</span>destination<span class="token operator">=</span>f<span class="token punctuation">.</span>origin<span class="token operator">AND</span> f<span class="token punctuation">.</span>destination<span class="token operator">&lt;></span>’SFO’  <span class="token comment">--- stopping rule 1</span>       <span class="token operator">AND</span> f<span class="token punctuation">.</span>origin<span class="token operator">&lt;></span>’JFK’      <span class="token comment">--- stopping rule 2</span>       <span class="token operator">AND</span> t<span class="token punctuation">.</span>nsegs<span class="token operator">&lt;=</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">)</span>       <span class="token comment">--- stopping rule 3</span><span class="token keyword">SELECT</span> route<span class="token punctuation">,</span> totalcost       <span class="token comment">--- final query</span><span class="token keyword">FROM</span> trips<span class="token keyword">WHERE</span> destination<span class="token operator">=</span>‘JFK’ <span class="token operator">AND</span> totalcost<span class="token operator">=</span>   <span class="token comment">--- lowest cost rule</span> （<span class="token keyword">SELECT</span> <span class="token function">min</span><span class="token punctuation">(</span>totalcost<span class="token punctuation">)</span> <span class="token keyword">FROM</span> trips <span class="token keyword">WHERE</span> destination<span class="token operator">=</span><span class="token string">'JFK'</span><span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h2 id="数据操纵语言-P69-71"><a href="#数据操纵语言-P69-71" class="headerlink" title="数据操纵语言 P69-71"></a>数据操纵语言 P69-71</h2><ul><li><code>INSERT</code></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">INSERT</span> <span class="token keyword">INTO</span> EMPLOYEES <span class="token keyword">VALUES</span> <span class="token punctuation">(</span><span class="token string">'Smith'</span><span class="token punctuation">,</span> <span class="token string">'John'</span><span class="token punctuation">,</span> <span class="token string">'1980-06-10'</span><span class="token punctuation">,</span> <span class="token string">'Los Angles'</span><span class="token punctuation">,</span> <span class="token number">16</span><span class="token punctuation">,</span> <span class="token number">45000</span><span class="token punctuation">)</span><span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span></span></code></pre><ul><li><code>DELETE</code></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">DELETE</span> <span class="token keyword">FROM</span> Person <span class="token keyword">WHERE</span> LastName <span class="token operator">=</span> <span class="token string">'Rasmussen'</span> <span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span></span></code></pre><ul><li><code>UPDATE</code></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">UPDATE</span> Person <span class="token keyword">SET</span> Address <span class="token operator">=</span> <span class="token string">'Zhongshan 23'</span><span class="token punctuation">,</span> City <span class="token operator">=</span> <span class="token string">'Nanjing'</span> <span class="token keyword">WHERE</span> LastName <span class="token operator">=</span> <span class="token string">'Wilson'</span><span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span></span></code></pre><h2 id="关于视图-P72-75"><a href="#关于视图-P72-75" class="headerlink" title="关于视图 P72-75"></a>关于视图 P72-75</h2><ul><li><p>普通视图</p></li><li><p>临时视图和递归查询</p><h2 id="嵌入式-SQL-P75-79"><a href="#嵌入式-SQL-P75-79" class="headerlink" title="嵌入式 SQL P75-79"></a>嵌入式 SQL P75-79</h2></li><li><p>为了直接在其他编程语言中直接访问数据库</p></li><li><p>以<code>EXEC SQL</code>开头，<code>;</code>结尾</p></li><li><p>通过宿主变量（host variables）与程序交流，在 SQL 语句中宿主变量前面必须加<code>:</code>；只能是一般变量，不能是数组或者其他结构</p></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//定义宿主变量</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">BEGIN</span> <span class="token keyword">DECLARE</span> SECTION<span class="token punctuation">;</span> <span class="token keyword">char</span> SNO<span class="token punctuation">[</span><span class="token number">7</span><span class="token punctuation">]</span><span class="token punctuation">;</span><span class="token keyword">char</span> GIVENSNO<span class="token punctuation">[</span><span class="token number">7</span><span class="token punctuation">]</span><span class="token punctuation">;</span><span class="token keyword">char</span> CNO<span class="token punctuation">[</span><span class="token number">6</span><span class="token punctuation">]</span><span class="token punctuation">;</span><span class="token keyword">char</span> GIVENCNO<span class="token punctuation">[</span><span class="token number">6</span><span class="token punctuation">]</span><span class="token punctuation">;</span><span class="token keyword">float</span> GRADE<span class="token punctuation">;</span>short GRADEI<span class="token punctuation">;</span> <span class="token comment">/*indicator of GRADE，为负数则表示GRADE为NULL*/</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">END</span> <span class="token keyword">DECLARE</span> SECTION<span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li><p>特殊的宿主变量<code>SQLCA</code>,通常用<code>SQLCA.SQLCODE</code>来表示 SQL 执行结果</p><blockquote><p>&lt;0 表示出错且未执行</p><p>=0 表示正常</p><p>&gt;0 表示已执行，但有异常</p><p>=100 表示无数据可取，通常是数据取完了</p></blockquote></li><li><p><code>CONNECT</code></p></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">CONNECT</span> :uid IDENTIFIED <span class="token keyword">BY</span> :pwd<span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span></span></code></pre><ul><li>执行查询或者操作</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">INSERT</span> <span class="token keyword">INTO</span> SC<span class="token punctuation">(</span>SNO<span class="token punctuation">,</span>CNO<span class="token punctuation">,</span>GRADE<span class="token punctuation">)</span><span class="token keyword">VALUES</span><span class="token punctuation">(</span>:SNO<span class="token punctuation">,</span> :CNO<span class="token punctuation">,</span> :GRADE<span class="token punctuation">)</span><span class="token punctuation">;</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">SELECT</span> GRADE <span class="token keyword">INTO</span> :GRADE :GRADEI    <span class="token comment">//因为只能查到一个值，所以可以直接赋值</span> <span class="token keyword">FROM</span> SC <span class="token keyword">WHERE</span> SNO<span class="token operator">=</span>:GIVENSNO <span class="token operator">AND</span> CNO<span class="token operator">=</span>:GIVENCNO<span class="token punctuation">;</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li><code>CURSOR</code> 可以将多个查到的值放入数组</li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> INCLUDE SQLCA<span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">BEGIN</span> <span class="token keyword">DECLARE</span> SECTION<span class="token punctuation">;</span><span class="token keyword">char</span> sname<span class="token punctuation">[</span><span class="token number">20</span><span class="token punctuation">]</span><span class="token punctuation">;</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">END</span> <span class="token keyword">DECLARE</span> SECTION<span class="token punctuation">;</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">DECLARE</span> student<span class="token operator">-</span><span class="token keyword">cursor</span> <span class="token keyword">CURSOR</span> <span class="token keyword">FOR</span>   <span class="token comment">--Step1：声明游标</span>  <span class="token keyword">SELECT</span> S<span class="token punctuation">.</span>sname  <span class="token keyword">FROM</span> student S  <span class="token keyword">WHERE</span> S<span class="token punctuation">.</span>gpa<span class="token operator">></span><span class="token number">3.5</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">OPEN</span> student<span class="token operator">-</span><span class="token keyword">cursor</span><span class="token punctuation">;</span>              <span class="token comment">--Step2：打开游标</span><span class="token keyword">while</span><span class="token punctuation">(</span><span class="token boolean">TRUE</span><span class="token punctuation">)</span>&#123;  <span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">FETCH</span> C1 <span class="token keyword">INTO</span> :sname<span class="token punctuation">;</span>       <span class="token comment">--Step3: 读数据</span>  <span class="token keyword">if</span><span class="token punctuation">(</span>SQLCA<span class="token punctuation">.</span>SQLCODE<span class="token operator">=</span><span class="token operator">=</span><span class="token number">100</span><span class="token punctuation">)</span> <span class="token comment">--读完了</span>    <span class="token keyword">break</span><span class="token punctuation">;</span>  <span class="token keyword">if</span><span class="token punctuation">(</span>SQLCA<span class="token punctuation">.</span>SQLCODE<span class="token operator">&lt;</span><span class="token number">0</span><span class="token punctuation">)</span>    <span class="token comment">--出错了</span>    <span class="token keyword">break</span><span class="token punctuation">;</span>  <span class="token comment">/*  ...处理游标中所取的数据  */</span>  printf<span class="token punctuation">(</span><span class="token string">"%s\n"</span><span class="token punctuation">,</span> sname<span class="token punctuation">)</span><span class="token punctuation">;</span>&#125;<span class="token punctuation">;</span><span class="token keyword">EXEC</span> <span class="token keyword">SQL</span> <span class="token keyword">CLOSE</span> C1<span class="token punctuation">;</span>             <span class="token comment">--Step4：关闭游标</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h2 id="动态-SQL-与存储过程-P79-82"><a href="#动态-SQL-与存储过程-P79-82" class="headerlink" title="动态 SQL 与存储过程 P79-82"></a>动态 SQL 与存储过程 P79-82</h2><p><del>考到了就现学</del></p><h1 id="Chapter-4-数据库管理系统"><a href="#Chapter-4-数据库管理系统" class="headerlink" title="Chapter 4 数据库管理系统"></a>Chapter 4 数据库管理系统</h1><h2 id="DBMS-核心的模块结构-P88-90"><a href="#DBMS-核心的模块结构-P88-90" class="headerlink" title="DBMS 核心的模块结构 P88-90"></a>DBMS 核心的模块结构 P88-90</h2><p><img src="https://acupofair.github.io/posts/dbms/res/2021-12-05-12-41-46.png" alt="img"></p><ul><li>用户写的应用程序经过接口转为基础的数据库语言（SQL 等）</li><li>SQL 经过词法及语法分析产生语法树</li><li>之后检查用户是否有权访问语法树涉及的数据对象，若通过则继续执行，否则拒绝执行</li><li>授权检查通过后，进行语义分析与处理，对四种语言分别做不同处理（通常统称为查询处理），其中 QL 最复杂也最基本，存在多种存取路径选择问题（查询优化） 后就形成 SQL 语句执行</li><li>DLL： 存放 SQL 的动态链接库</li><li>并发控制： SQL 语句执行过程都有并发控制以防止多用户并发访问数据引起数据不一致</li><li>恢复机制：发生故障时，能使数据库恢复到最近的一致状态或先前的某个一致状态</li><li>DBMS 是操作系统之上的软件系统，是操作系统的用户,它对系统资源的调用需要请求操作系统为其服务，通过系统调用来实现</li></ul><blockquote><p>事务：DBMS 的执行单位 P89-90</p><p>ACID 准则</p></blockquote><h2 id="DBMS-进程结构"><a href="#DBMS-进程结构" class="headerlink" title="DBMS 进程结构"></a>DBMS 进程结构</h2><ul><li><p>单进程结构</p><ul><li>程进的一单个一是就后行运，起一在接连码代心核 和码代的序程用应把</li></ul></li><li><p>多进程结构</p><ul><li>一个应用对应一个 DBMS 进程</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211228090732.png" alt="image-20211227164149553" style="zoom:50%;" /><ul><li>一个应用对应一个 DBMS 的一个线程</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211228090758.png" alt="image-20211227164230234" style="zoom:30%;" /></li></ul><h2 id="数据库访问管理-P101-111"><a href="#数据库访问管理-P101-111" class="headerlink" title="数据库访问管理 P101-111"></a>数据库访问管理 P101-111</h2><ul><li>访问类型<ul><li>查询一个文件的全部或大部分记录(&gt;15%)</li><li>查询某一条特定记录</li><li>查询某些记录(&lt;15%)</li><li>范围查询</li><li>记录的更新</li></ul></li><li>文件管理<ul><li>堆文件<ul><li>记录按插入顺序存放，就像堆货物一样。物理地址不一定连续，逻辑地址连续。插入容易，查找难，只能顺序搜索，删除麻烦，一般不在物理上删除，只是打删除标志，以免引起大量记录转移。</li></ul></li><li>直接文件<ul><li>将记录某一属性（一般为主键）用散列函数映射成记录的地址。按散列键访问快，但不同散列键可能映射同一地址，且只对散列键到记录的访问有效，键映射空间固定，不变处理变长记录，用得少</li></ul></li><li>索引文件<ul><li>索引+堆文件/簇集</li><li>在记录的某一属性（组）上建立索引，索引项由索引键的值及其对应的记录的地址货地址集组成。</li><li>提高查询效率，增加索引维护开销，付出储存空间代价</li></ul></li></ul></li><li>索引<ul><li>B+树（最常用）</li><li>Clustering index（常用）</li><li>倒排文件</li><li>动态 hash</li><li>栅格结构文件</li></ul></li></ul><h2 id="查询优化"><a href="#查询优化" class="headerlink" title="查询优化"></a>查询优化</h2><ul><li><p>代数优化（粗糙的优化）</p><ul><li>对查询进行等效变化，以减少执行的开销</li><li>先一元操作，后二元操作，可以提取一些公共操作</li></ul></li><li><p>操作优化（优化的重点）</p><ul><li><p>合理选择存取路径</p></li><li><p>选择、投影、集合、连接、组合操作的优化</p></li><li><p>主要是连接操作的优化，因为开销最大</p><ul><li><p>嵌套循环法</p><ul><li>R 为外关系，共 bRb_R<em>b\</em>*R<em>条记录，S 为内关系，共 bSb_S</em>b**S<em>条记录,R 每次 I/O 取出的为缓冲块大小的元组个数，设有 nBn_B</em>n**B*个缓冲块,一块用于内关系缓冲，其余用于外关系缓冲,则共需访问物理块数,从公式可以看出要想减少 I/O 次数，应该让小关系作为内关系，因为它前面有个乘数。</li><li><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211227185636.png" alt="image-20211227185631856" style="zoom:50%;" /></li><li>为什么缓存块都给外缓冲？</li><li>因为，<strong>内关系的扫描次数取决于外关系分多少次取完，外关系每次取的越多，则内关系一次扫描所比较的元组也越多</strong>。而内关系每次扫描都要 I/O 整个表，而总的 I/O 次数中外关系的 I/O 次数是定值（它只用扫描一次），内关系的 I/O 次数只取决于其扫描次数 ↣\rightarrowtail↣ 其扫描次数只取决于外关系取的次数 ↣\rightarrowtail↣ 外关系取的次数取决于每次取多少，所以增大外缓冲能有效减小内关系扫描次数。</li></ul></li><li><p>利用索引或散列寻找匹配元组法</p></li><li><p>排序归并法</p></li><li><p>散列连接法</p></li></ul></li></ul></li></ul><h2 id="恢复机制"><a href="#恢复机制" class="headerlink" title="恢复机制"></a>恢复机制</h2><blockquote><p>减少可能出现的错误</p><p>从错误中恢复</p></blockquote><ul><li><p>周期性转储</p><ul><li><p>每隔一段时间将磁盘数据转储到磁带（不受系统故障影响）上</p><p>转储采用增量转储</p></li><li><p>只能恢复到最近一次备份</p></li></ul></li><li><p>备份+日志</p><ul><li>日志（Log）：记录上次备份以来所有数据库的改变<ul><li>前像（Before Image）<ul><li>事务更新时所涉及物理块更新前的映像；有前像可使数据库回到更新前状态，即撤销更新 undo,满足幂等性,就是无论 undo 几次都和 undo 一次的效果一样</li></ul></li><li>后像（A.I）<ul><li>事务更新时所涉及物理块更新后的映像；有后像即时更新数据丢失，仍可恢复到更新后状态，叫重做 redo,也满足幂等性</li></ul></li><li>事务状态：两种,commit 了，说明事务已成功执行(all)；事务失败，则要消除事务对数据库影响(nothing)，叫卷回(abort/rollback) 数据库失效时，可取出最近副本，再根据运行记录<ul><li>对已提交的事务<strong>用后像重做</strong>，叫<strong>向前恢复</strong></li><li>对未提交的事务<strong>用前像卷回</strong>，叫<strong>向后恢复</strong> 这样可使数据库恢复至最近的<strong>一致状态</strong></li></ul></li></ul></li></ul></li><li><p>数据结构</p><ul><li>Commit list ：所有已经提交的事物列表</li><li>Active list：当前在运行的、还没有提交的事物的标识符（TID）</li><li>Log</li></ul></li><li><p>提交规则</p><ul><li>A.I 必须在 commit 之前就写入硬盘</li></ul></li><li><p>日志提前规则</p><ul><li>若 A.I 在事务提交之前写入数据库，必须先把 B.I 先写入 Log</li></ul></li><li><p>幂等性</p><ul><li>redo 和 undo 做几次都效果一样</li></ul></li><li><p>三种更新策略</p><ul><li><p>A.I 在事务提交之前写入 DB：</p><ul><li>TID 写入 active list</li><li>B.I 写入日志[Log Ahead Rule]</li><li>A.I 写入 DB [Commit Rule]</li><li>TID 写入 commit list</li><li>在 active list 中删去 TID</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211227192056.png" alt="image-20211227191451676" style="zoom:50%;" /></li><li><p>A.I 在事务提交之后写入 DB： （流行的用法）</p><ul><li><p>TID 进入 active list</p></li><li><p>A.I 写入 log[Commit Rule]</p></li><li><p>TID 写入 commit list</p></li><li><p>A.I 写入 DB</p></li><li><p>在 active list 中删去 TID</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211227192103.png" alt="image-20211227191813497" style="zoom:50%;" /></li></ul></li><li><p>A.I 写入 DB 与 commit 并发进行：</p><ul><li><p>TID 进入 active list</p></li><li><p>A.I 和 B.I 写入 log[Two Rules]</p></li><li><p>A.I 写入 DB(partially done)</p></li><li><p>TID 写入 commit list</p></li><li><p>A.I 写入 DB(completed)</p></li><li><p>在 active list 中删去 TID</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211227192107.png" alt="image-20211227192047509" style="zoom:50%;" /></li></ul></li></ul></li></ul><h2 id="并发控制-P148-153"><a href="#并发控制-P148-153" class="headerlink" title="并发控制 P148-153"></a>并发控制 P148-153</h2><ul><li><p>并发的问题</p><ul><li>丢失更新（write-write conflict）</li><li>读脏数据（read-write conflict）</li><li>读值不可复现</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20211227192922.png" alt="image-20211227192917832" style="zoom:50%;" /></li></ul><h2 id="加锁协议"><a href="#加锁协议" class="headerlink" title="加锁协议"></a>加锁协议</h2><ul><li><p>2PL(two phase locking): 释放锁在所有加锁之后</p></li><li><p>well-formed:遵循先加锁，后操作</p></li><li><p>X 锁（排他性）</p><table><thead><tr><th>\</th><th>NL</th><th>X</th></tr></thead><tbody><tr><td>NL</td><td>Y</td><td>Y</td></tr><tr><td>X</td><td>Y</td><td>N</td></tr></tbody></table></li><li><p>(S,X)锁，S 用于读，X 用于写</p><table><thead><tr><th>\</th><th>NL</th><th>s</th><th>x</th></tr></thead><tbody><tr><td>NL</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>S</td><td>Y</td><td>Y</td><td>N</td></tr><tr><td>X</td><td>Y</td><td>N</td><td>N</td></tr></tbody></table></li><li><p>(S,U,X 锁)，S 用于读，U 锁一般先申请，然后去更新数据，在最后写入阶段再去申请 X 锁，X 用于写</p><table><thead><tr><th>\</th><th>NL</th><th>S</th><th>u</th><th>x</th></tr></thead><tbody><tr><td>NL</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>S</td><td>Y</td><td>N</td><td>Y</td><td>N</td></tr><tr><td>U</td><td>Y</td><td>Y</td><td>N</td><td>N</td></tr><tr><td>X</td><td>Y</td><td>N</td><td>N</td><td>N</td></tr></tbody></table></li></ul><h2 id="死锁与活锁-P156-159"><a href="#死锁与活锁-P156-159" class="headerlink" title="死锁与活锁 P156-159"></a>死锁与活锁 P156-159</h2><ul><li><p>死锁：循环等待，没有事务可以得到需要的资源来完成事务</p><ul><li><p>处理：预防&amp;解决</p></li><li><p>检测死锁：</p><ul><li>超时法：超过某一时限，则认为发生死锁</li><li>等待图法：出现回路则有死锁</li></ul></li><li><p>防止死锁</p><ul><li>与操作系统类似的方法</li><li>将数据对象按序编号，按序申请</li><li>当事务申请锁未获准时不是一律等待，而是让一些事务卷回重执(retry),以避免循环等待。为区别事务开始执行的先后，给他们一个随时间增长的时间标记 ts(time stamp)<ul><li>事务重执有两种策略<ul><li>死亡-等待 wait-die:年老的等年轻的事务,年轻的来了，则重执，一直到自己变得年老而等待</li><li>击伤-等待 wound-die:年轻的等年老的，年老的来了，把年轻的击败，年轻的重执时直接等待</li></ul></li></ul></li></ul></li></ul></li><li><p>活锁：别的事务一直占用资源，低优先级的一直拿不到资源</p><ul><li>处理：FIFO</li></ul></li></ul><h1 id="Chapter-5-数据库的安全与完整性约束"><a href="#Chapter-5-数据库的安全与完整性约束" class="headerlink" title="Chapter 5 数据库的安全与完整性约束"></a>Chapter 5 数据库的安全与完整性约束</h1><h2 id="数据库的安全"><a href="#数据库的安全" class="headerlink" title="数据库的安全"></a>数据库的安全</h2><ol><li>利用视图和查询修改</li><li>访问控制（对用户进行分类来给不同的权限 ）</li></ol><ul><li>普通用户</li><li>DBA</li><li>有资源特权的用户</li></ul><ol><li>用户标识和用户认证</li></ol><ul><li>通过 password 进行用户认证</li><li>特殊的物品，如钥匙. IC 卡等等</li></ul><ol><li>授权</li><li>Role 角色机制（通过该方法提高权限控制）</li><li>数据加密</li></ol><ul><li>加密后存储【密码学】，但是加密解密影响效率</li></ul><ol><li>审计追踪</li></ol><ul><li>结合数据库日志，可以在关注的对象上添加审计追踪，会记录该对象上进行的操作</li></ul><h2 id="完整性约束"><a href="#完整性约束" class="headerlink" title="完整性约束"></a>完整性约束</h2><blockquote><p>完整性约束就是规则，一张表内所有元组都要满足的条件就是完整性约束</p></blockquote><ul><li><p>完整性约束的分类</p><ul><li><p>静态约束</p><ul><li>固有约束：数据模型固有的约束，如关系属性应该是原子的,即第一范式</li><li>隐含约束：数据库表的模式定义里面的约束,一般用 DDL 语句说明，如：域约束、实体完整性约束、外键约束【引用完整性约束】</li><li>显式约束：书 p181,没解释清</li></ul></li><li><p>动态约束</p><ul><li>数据库在状态转换中要满足的约束叫做动态约束(可以和触发器联系)</li></ul></li></ul></li><li><p>完整性约束的说明</p><ul><li><p>用过程说明：把约束的说明和检验交给应用程序</p></li><li><p>用断言说明：断言指数据库状态必须满足的逻辑条件</p></li><li><p>在基表定义中加入<code>CHECK</code>子句约束</p></li><li><p>用触发子表示约束,下小节细讲</p></li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token keyword">CREATE</span> <span class="token keyword">TABLE</span> Sailors<span class="token punctuation">(</span>  sid <span class="token keyword">INTEGER</span><span class="token punctuation">,</span>  sname <span class="token keyword">CHAR</span><span class="token punctuation">(</span><span class="token number">10</span><span class="token punctuation">)</span><span class="token punctuation">,</span>  rating <span class="token keyword">INTEGER</span><span class="token punctuation">,</span>  age <span class="token keyword">REAL</span><span class="token punctuation">,</span>  <span class="token keyword">PRIMARY</span> <span class="token keyword">KEY</span><span class="token punctuation">(</span>sid<span class="token punctuation">)</span><span class="token punctuation">,</span>  <span class="token keyword">CHECK</span><span class="token punctuation">(</span>rating<span class="token operator">>=</span><span class="token number">1</span> <span class="token operator">AND</span> rating<span class="token operator">&lt;=</span><span class="token number">10</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">;</span><span class="token keyword">CREATE</span> <span class="token keyword">TABLE</span> Sailors <span class="token punctuation">(</span>sid <span class="token keyword">INTEGER</span><span class="token punctuation">,</span>sname <span class="token keyword">CHAR</span><span class="token punctuation">(</span><span class="token number">10</span><span class="token punctuation">)</span><span class="token punctuation">,</span>age <span class="token keyword">REAL</span><span class="token punctuation">,</span><span class="token keyword">PRIMARY</span> <span class="token keyword">KEY</span><span class="token punctuation">(</span>sid<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token keyword">CHECK</span><span class="token punctuation">(</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">COUNT</span><span class="token punctuation">(</span>S<span class="token punctuation">.</span>sid<span class="token punctuation">)</span> <span class="token keyword">FROM</span> Sailors S<span class="token punctuation">)</span><span class="token operator">+</span><span class="token punctuation">(</span><span class="token keyword">SELECT</span> <span class="token function">COUNT</span><span class="token punctuation">(</span>B<span class="token punctuation">.</span>bid<span class="token punctuation">)</span> <span class="token keyword">FROM</span> Boats B<span class="token punctuation">)</span><span class="token operator">&lt;</span><span class="token number">100</span><span class="token punctuation">)</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><h2 id="触发器"><a href="#触发器" class="headerlink" title="触发器"></a>触发器</h2><ul><li>主动数据库：能对数据库采取一些主动的动作。<ul><li>数据库的主动依赖于规则<ul><li>规则：ECA 规则，E 为事件、C 为条件、A 为动作。</li><li>即当事件 E 发生，且条件 C 满足时，采取 A 动作</li></ul></li></ul></li></ul><pre class="line-numbers language-sql" data-language="sql"><code class="language-sql"><span class="token comment">//在往水手表中插入水手时，若年龄小于18则插入年轻水手表</span><span class="token keyword">CREATE</span> <span class="token keyword">TRIGGER</span> youngSailorUpdate          <span class="token comment">--声明触发器</span><span class="token keyword">AFTER</span> <span class="token keyword">INSERT</span> <span class="token keyword">ON</span> SALORS                    <span class="token comment">--Event</span>REFERENCING NEW <span class="token keyword">TABLE</span> NewSailors          <span class="token comment">--对水手表新插入的元组看成一张表</span><span class="token keyword">FOR</span> EACH STATEMENT                        <span class="token comment">--触发行为</span><span class="token keyword">INSERT</span>  <span class="token keyword">INTO</span> YoungSailor<span class="token punctuation">(</span>sid<span class="token punctuation">,</span> name<span class="token punctuation">,</span> age<span class="token punctuation">,</span> rating<span class="token punctuation">)</span>  <span class="token keyword">SELECT</span> sid<span class="token punctuation">,</span> name<span class="token punctuation">,</span> age<span class="token punctuation">,</span> rating  <span class="token keyword">FROM</span> NewSailors N  <span class="token keyword">WHERE</span> N<span class="token punctuation">.</span>age <span class="token operator">&lt;=</span><span class="token number">18</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre><ul><li><p>触发器的执行策略</p><ul><li><p>立即执行【常用】</p><ul><li>当事件发生时立刻去检查条件是否满足</li></ul></li><li><p>延迟执行</p><ul><li>等事务要提交时执行</li></ul></li><li><p>分离执行</p><ul><li>把 ECA 规则中的动作单独作为一个事务，作为原来事务的衍生事务</li></ul></li></ul></li></ul><h1 id="Chapter-6-数据库设计"><a href="#Chapter-6-数据库设计" class="headerlink" title="Chapter 6 数据库设计"></a>Chapter 6 数据库设计</h1><h2 id="数据依赖"><a href="#数据依赖" class="headerlink" title="数据依赖"></a>数据依赖</h2><ul><li><p>函数依赖 FD</p><ul><li>一个属性的值可以决定其他属性的值</li></ul></li><li><p>多值依赖 MVD</p><ul><li>一个属性的值可以决定其他一组值</li></ul></li><li><p>连接依赖 JD</p><ul><li>the constraint of lossless join decomposition.</li></ul><h2 id="关系模式的规范化"><a href="#关系模式的规范化" class="headerlink" title="关系模式的规范化"></a>关系模式的规范化</h2></li><li><p>1NF 一范式</p><ul><li>关系的属性必须是原子的（意思应该就不能是对象或数组这种）</li></ul></li><li><p>2NF 二范式</p><ul><li><p>满足一范式</p></li><li><p>在属性之间没有部分的函数依赖</p></li><li><p>例子：</p><ul><li>S(S#, SNAME, AGE, ADDR, C#, GRADE) 不满足 2NF，因为知道 S#后后面三个值能就确定了</li><li>改正：S(S#, SNAME, AGE, ADDR)和 SC(S#, C#, GRADE)</li></ul></li><li><p>不满足 2 范式容易出现的问题：</p><ul><li>插入异常<ul><li>上例中，不能插入一个还未选课的学生的信息</li></ul></li><li>删除异常<ul><li>上例中，如果一个学生申请休学，把选过的课退了，那么他的信息也会被删除</li></ul></li><li>更新异常<ul><li>更新中难以保持数据的一致性，上例的设计有大量的数据冗余</li></ul></li></ul><h3 id="解决方法"><a href="#解决方法" class="headerlink" title="解决方法"></a>解决方法</h3><ul><li>设计时，一视一地。<ul><li>一张表只管一件事情</li></ul></li></ul></li></ul></li><li><p>3NF 三范式</p><ul><li>满足二范式</li><li>不存在属性对主键的传递依赖</li><li>例子 ：若属性由（职工编号、工资级别、工资）三个属性组成，其中（职工编号）为主键。</li><li>分析：工资取决于工资级别，取决于职工编号</li><li>上例不满足 3 范式的问题<ul><li>插入异常：当一个人的工资级别还没定的时候，他对应的工资也没有</li><li>删除异常：若只是删除一个员工的工资信息时，会把对应的工资级别信息也删除了</li><li>更新异常：数据内有大量的冗余</li></ul></li><li>解决方法<ul><li>设计时，一视一地。<ul><li>一张表只管一件事情</li></ul></li></ul></li></ul></li><li><p>4NF 四范式</p><ul><li>在满足三范式的前提下，消除多值依赖。</li></ul></li><li><p>5NF 五范式</p><ul><li><p>在满足四范式的前提下，消除连接依赖。</p><pre><code>## 数据库设计方法</code></pre></li></ul></li><li><p>面向过程的方法</p><ul><li>根据单位日常处理的流程，以过程为中心。<ul><li>好处<ul><li>在设计初期，能比较快的实现</li></ul></li><li>缺点<ul><li>没分析数据之间的关系，数据由冗余和矛盾，当流程进行改动时，会有很多问题</li></ul></li></ul></li></ul></li><li><p>面向对象的方法</p><ul><li><p>以数据为中心的方法</p></li><li><p>分析数据之间的关系，设计一些符合 3NF 的模式</p><h2 id="数据库设计流程"><a href="#数据库设计流程" class="headerlink" title="数据库设计流程"></a>数据库设计流程</h2></li></ul></li></ul><ul><li><p>需求分析，与用户交流确定需求</p></li><li><p>概念设计，分析数据之间的关系、实体及实体间的逻辑</p></li><li><p>逻辑设计，看采用的数据库系统，生成基表</p></li><li><p>物理设计，考虑数据在内存上到底如何存储</p><h2 id="各阶段主要工作"><a href="#各阶段主要工作" class="headerlink" title="各阶段主要工作"></a>各阶段主要工作</h2></li></ul><ul><li><p>需求分析</p><ul><li>数据字典<ul><li>把所有的基本数据元素都找出来<ul><li>解决问题：<ul><li>名字冲突：同名异意</li><li>概念冲突</li><li>域冲突</li><li>编码问题<ul><li>压缩信息</li><li>基本信息</li><li>实体识别</li></ul></li></ul></li></ul></li></ul></li></ul></li><li><p>概念设计</p><ul><li>用 ER 图抽象出实体</li><li>哪些数据项抽象成实体</li><li>实体间的联系</li><li>相关 ER 图工具</li></ul></li><li><p>逻辑设计</p><ul><li>把 ER 图表达的数据模型进行建表</li><li>表和属性的命名规则</li><li>逆规范化</li><li>定义视图</li><li>考虑遗留系统的表的设计</li></ul></li><li><p>物理设计</p><ul><li>根据 DBMS 特点对每个表的存储和索引情况进行权衡</li><li>分区设计</li></ul><h2 id="总结"><a href="#总结" class="headerlink" title="总结"></a>总结</h2></li></ul><ul><li>仅仅在结构上满足 3 范式是不够的</li><li>一事一地包括每项信息的唯一，要提取出问题的本质，识别本质上同一概念的信息项</li><li>对于表达类似信息、能合并尽量合并</li><li>考虑到效率、用途等因素、该分开的要分开</li><li>结合 DBMS 内部实现技术，合理设计索引和文件结构，为查询优化准备号存取路径</li><li>在结构规范化、减少数据冗余和提高数据库访问性能之间仔细权衡，适当折中</li></ul><p>（勉强整理完了）</p>]]></content>
    
    
    <summary type="html">&lt;h1 id=&quot;Chapter-1-数据库系统引论&quot;&gt;&lt;a href=&quot;#Chapter-1-数据库系统引论&quot; class=&quot;headerlink&quot; title=&quot;Chapter 1 数据库系统引论&quot;&gt;&lt;/a&gt;Chapter 1 数据库系统引论&lt;/h1&gt;&lt;h2 id=&quot;简介&quot;&gt;&lt;a href=&quot;#简介&quot; class=&quot;headerlink&quot; title=&quot;简介&quot;&gt;&lt;/a&gt;简介&lt;/h2&gt;&lt;p&gt;主要参考的是王能斌老师编写的《数据库系统教程》第二版上册，每个标题旁边是对应书上的页码。&lt;/p&gt;
&lt;p&gt;&lt;del&gt;可恶啊，这学期数据库没怎么听课，还有三天就期末考了，我能补回来吗？&lt;/del&gt;&lt;/p&gt;</summary>
    
    
    
    
    <category term="数据库" scheme="https://github.com/thisisbadBao/tags/%E6%95%B0%E6%8D%AE%E5%BA%93/"/>
    
    <category term="DBMS" scheme="https://github.com/thisisbadBao/tags/DBMS/"/>
    
    <category term="复习" scheme="https://github.com/thisisbadBao/tags/%E5%A4%8D%E4%B9%A0/"/>
    
  </entry>
  
  <entry>
    <title>读书(随缘)打卡贴</title>
    <link href="https://github.com/thisisbadBao/2021/03/05/reading_record/"/>
    <id>https://github.com/thisisbadBao/2021/03/05/reading_record/</id>
    <published>2021-03-05T12:47:43.000Z</published>
    <updated>2022-04-27T07:47:59.903Z</updated>
    
    <content type="html"><![CDATA[<p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20210305205857.jpeg" alt="Mr.pbh"></p><hr><span id="more"></span><ul><li>最近感觉得看点 <del>技术书</del> 书了，那就从这本 OSC 开始吧，正好最近也在上操作系统，但愿我能坚持看下去（至少看完大部分吧</li></ul><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20210305205003.png" alt="OSC" style="zoom:25%;" /><hr><h4 id="2021-3-5"><a href="#2021-3-5" class="headerlink" title="2021 3.5"></a>2021 3.5</h4><p>OSC 1.1&amp;1.2 打卡</p><hr><h3 id="3-10"><a href="#3-10" class="headerlink" title="3.10"></a>3.10</h3><p>OSC 1.3-1.8 打卡 感觉看英文书好难抓住重点啊</p><hr><h3 id="4-2"><a href="#4-2" class="headerlink" title="4.2"></a>4.2</h3><p>OSC 3.1-3.3 打卡</p><hr><h3 id="4-13"><a href="#4-13" class="headerlink" title="4.13"></a>4.13</h3><p>啊啊啊啊啊啊啊</p><hr><h3 id="4-25"><a href="#4-25" class="headerlink" title="4.25"></a>4.25</h3><p>OSC 3.4-3.7</p><hr><h3 id="4-26"><a href="#4-26" class="headerlink" title="4.26"></a>4.26</h3><p>OSC 4.1-4.8 5.1-5.4</p><hr><h3 id="4-27"><a href="#4-27" class="headerlink" title="4.27"></a>4.27</h3><p>6.1-6.8</p><hr><h3 id="8-13"><a href="#8-13" class="headerlink" title="8.13"></a>8.13</h3><p>osc 当时看到了十四章就没往后看了，其实也都是大概浏览一遍（应付考试）</p><p>最近在看《硅谷之火》，讲的是个人计算机发展史（一群人在车库里改变世界的故事），据说雷军就是看了这本之后有了创业的想法。</p>]]></content>
    
    
    <summary type="html">&lt;p&gt;&lt;img src=&quot;https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20210305205857.jpeg&quot; alt=&quot;Mr.pbh&quot;&gt;&lt;/p&gt;
&lt;hr&gt;</summary>
    
    
    
    
    <category term="打卡" scheme="https://github.com/thisisbadBao/tags/%E6%89%93%E5%8D%A1/"/>
    
    <category term="读书" scheme="https://github.com/thisisbadBao/tags/%E8%AF%BB%E4%B9%A6/"/>
    
  </entry>
  
  <entry>
    <title>日常记录贴</title>
    <link href="https://github.com/thisisbadBao/2021/03/04/daily_record/"/>
    <id>https://github.com/thisisbadBao/2021/03/04/daily_record/</id>
    <published>2021-03-04T04:59:33.000Z</published>
    <updated>2022-03-30T09:02:26.055Z</updated>
    
    <content type="html"><![CDATA[<hr><span id="more"></span><h3 id="2021"><a href="#2021" class="headerlink" title="2021"></a>2021</h3><h4 id="3-5"><a href="#3-5" class="headerlink" title="3.5"></a>3.5</h4><ul><li>课好多啊啊啊啊啊啊。</li></ul><hr><h4 id="3-6"><a href="#3-6" class="headerlink" title="3.6"></a>3.6</h4><p><a href="https://mp.weixin.qq.com/s?__biz=MzA3NDYwNzI0NA==&mid=2652734297&idx=1&sn=e2df6eb10b6ffb6f6f580e87c555db55&chksm=84941cbab3e395ac66538df6717cade97bf347b6f89f555d3d48cb92335b71c3b35d9826c656&mpshare=1&scene=23&srcid=0304HINS6BYX9zRzCzA5nIZj&sharer_sharetime=1614919941741&sharer_shareid=54d0f01b616faf8d8a582bc7779b9884%23rd">不可能永远都做对的，但要保持反思。</a></p><p>周日上一下午的课也太困了吧🥱</p><hr><h4 id="3-9"><a href="#3-9" class="headerlink" title="3.9"></a>3.9</h4><p>下午在床上看个剧，暗黑太绝了</p><hr><h4 id="3-10"><a href="#3-10" class="headerlink" title="3.10"></a>3.10</h4><p><a href="https://www.bilibili.com/video/BV1fb4y1X7pY?t=2">Insta360 GO2</a> 种草了种草了</p><hr><h4 id="3-20"><a href="#3-20" class="headerlink" title="3.20"></a>3.20</h4><p>今天突发奇想租了辆车  跨过长江去找了雅马哈 </p><p>然后去了红山森林动物园（一家没有动物表演的动物园）</p><p>以后去市区绝不开车，停车场找了半个小时</p><p>然后晚上去了南京眼</p><hr><h4 id="3-28"><a href="#3-28" class="headerlink" title="3.28"></a>3.28</h4><p>最近感觉一下子多了好多事啊</p><p>不过这个周末超开心的，有个sg来南京找我</p><p>又去了趟红山动物园和南京眼，还去看了长江</p><hr><h4 id="4-2"><a href="#4-2" class="headerlink" title="4.2"></a>4.2</h4><p>明天回家咯！</p><hr><h4 id="4-7"><a href="#4-7" class="headerlink" title="4.7"></a>4.7</h4><p>写作业写作业写作业！ 敲代码敲代码敲代码！ never tmr！</p><hr><h4 id="4-13"><a href="#4-13" class="headerlink" title="4.13"></a>4.13</h4><p>感觉今年的春天是一夜之间突然发生的。</p><hr><h4 id="4-22"><a href="#4-22" class="headerlink" title="4.22"></a>4.22</h4><p>才发现我已经连续上了17天课了，很好，坚持到12周，每个礼拜就可以休息一天啦（指周三）。</p><p>这周老师突然又加了个数电实验，写了十几页   预 习  报告</p><hr><h4 id="5-5"><a href="#5-5" class="headerlink" title="5.5"></a>5.5</h4><p>这三天去了扬州玩，吃了好多好多好多包子。</p><hr><h4 id="8-13"><a href="#8-13" class="headerlink" title="8.13"></a>8.13</h4><p>感觉这段时间的自己确实有点问题，整天胡思乱想些有的没的，经历了太多魔幻的事情，有那么一丢丢麻木。但是我还是好想回家啊，都八月了，别人暑假都快结束了，我的暑假还没开始就结束了，直接变成大三了。</p><hr><h4 id="12-25"><a href="#12-25" class="headerlink" title="12.25"></a>12.25</h4><p>这学期和上课沾边的事是一点没干，不过学了很多（？）</p><p>临近期末才发觉课业拉下太多，这几天努努力（叹气）</p><hr><h4 id="12-27"><a href="#12-27" class="headerlink" title="12.27"></a>12.27</h4><p>发现自己好像已经很久没有把一件事情做好了，不管是什么事情，要么半途而废，要么潦草地糊过去…感觉自己还是太浮躁了，什么都想做，但目前情况下什么都做不好。</p><h3 id="2022"><a href="#2022" class="headerlink" title="2022"></a>2022</h3><h4 id="1-10"><a href="#1-10" class="headerlink" title="1.10"></a>1.10</h4><p>Farewell buddy.</p><hr><h4 id="1-13"><a href="#1-13" class="headerlink" title="1.13"></a>1.13</h4><p>感觉自己最近消费欲望好重啊，刚花了小几千布置自己房间，现在又想自己装PC来打游戏，明明自己还没没赚什么大钱。</p><hr><h4 id="1-18"><a href="#1-18" class="headerlink" title="1.18"></a>1.18</h4><p>买了一台switch。</p><hr><h4 id="1-21"><a href="#1-21" class="headerlink" title="1.21"></a>1.21</h4><p>刚在洗澡的时候想了一下这一年要干啥，准确来说是这半年，其实就是立flag。</p><blockquote><ol><li>和伙伴一起完成一个独立游戏，顺便参加一些独立游戏比赛</li><li>准备面试，尽量拿到自己想要的实习offer</li><li>保持学习，开始做点简单的开源项目（最近稍微领略了一些开源的魅力）</li><li>多出去走走学学摄影，多玩玩游戏，多和朋友一起耍，多运动</li></ol></blockquote><p>有人说flag不能说出来才能实现，确实，我挺赞同这个说法，因为在说下flag的那个时候，更多的是那一刻自己很厉害的错觉，后面做不做是另外一回事。但我还是要为我这次立flag找点借口，第一我已经开始做了，第二这里肯定没多少人看得到或者说这个flag就是立给我自己看的。<br>So，just do what excites.</p><hr><h4 id="3-10-1"><a href="#3-10-1" class="headerlink" title="3.10"></a>3.10</h4><p>又到了一年几度感慨自己人生有多失败的时候了…</p><hr><h4 id="3-30"><a href="#3-30" class="headerlink" title="3.30"></a>3.30</h4><p>最近处于一种在做一件事的时候突然又来另一件事的无尽循环中，又开始焦虑了，一边担心自己的面试笔试，一边担心游戏开发的进度，两边都得投入精力，目前情况下哪边都不能放下……加油吧</p>]]></content>
    
    
    <summary type="html">&lt;hr&gt;</summary>
    
    
    
    
    <category term="日常" scheme="https://github.com/thisisbadBao/tags/%E6%97%A5%E5%B8%B8/"/>
    
    <category term="唠叨" scheme="https://github.com/thisisbadBao/tags/%E5%94%A0%E5%8F%A8/"/>
    
    <category term="想写啥就写啥" scheme="https://github.com/thisisbadBao/tags/%E6%83%B3%E5%86%99%E5%95%A5%E5%B0%B1%E5%86%99%E5%95%A5/"/>
    
  </entry>
  
  <entry>
    <title>Cinema4D初体验</title>
    <link href="https://github.com/thisisbadBao/2021/02/10/c4d_blog/"/>
    <id>https://github.com/thisisbadBao/2021/02/10/c4d_blog/</id>
    <published>2021-02-09T16:14:15.000Z</published>
    <updated>2022-04-27T07:47:59.845Z</updated>
    
    <content type="html"><![CDATA[<p>​ <img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/c4d.jpeg" alt="c4d"></p><ul><li><p>​ 最近在做一个 unity 的 VR 项目，需要一些 3D 模型，所以高中玩过三年 3D 打印的我自然是想着自己做啦（自信），其实是因为网上能找的好看的素材都太贵了… 以前有用过 3D 建模的软件，用的是 Autodesk 的 inventor，是比较容易上手的，当初其实也就学了个皮毛，会做一点简单的 3D 的模型；最近正好手头项目有这个需求，又有一个朋友找我做一个模型，加上前段时间又萌生了自己捣鼓一台 3D 打印机的想法，又看到好多人都用 c4d 做出了超级好看的模型，于是乎，想先学学看这个。</p><span id="more"></span><p>​ 虽然说以前会一点 3D 建模，但感觉这个软件还是得从零开始，前几天 B 站给我推了一个 c4d 的教程，看了之后发现还不错，<a href="https://www.bilibili.com/video/BV1ur4y1T72V?p=1">【Mo 公开课】C4D 基础课!</a> 这是链接 🔗，感觉是很良心的一份视频教程了，打算寒假里有时间就看一点学一点，开学之后也可能无限期拖下去（拖延症+懒癌晚期）。</p><hr><h4 id="2021-2-9"><a href="#2021-2-9" class="headerlink" title="2021 2.9"></a>2021 2.9</h4><p>​ 我在三天前下好了 c4d r23, 这几天囫囵吞枣地把教程前六集看了，主要想先把盆友的模型先搞定了。</p><p>​ 教程前几天除了介绍之外，教了一些最基本的操作，最后做了一个小桌子。感觉 c4d 的操作逻辑还是挺好理解的，据网上说是最容易上手的 3D 建模软件，用起来感觉好像也比之前高中用的 inventor 更加顺手一点。</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/desk.png" alt="desk" style="zoom:65%;" /><p>​</p><p>​ 然后就是帮朋友完成她的工程力学小模型</p><p>​ <img src="data:image/png;base64,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" alt="bridge"></p><p>​ 今天又偶然看到一个油管上的 c4d 大佬，<a href="https://www.youtube.com/watch?v=YPJyMG1J964&ab_channel=DanielDanielsson">( / ) C4D TUTORIAL | Infinite Blooming Flower!</a> 这个视频讲的是怎么做一朵无限生长的花，感觉还挺有意思，明天做做看。</p><p>晚安 💤 :p</p><hr><h4 id="2-13"><a href="#2-13" class="headerlink" title="2.13"></a>2.13</h4><p>过年宜咕咕咕 🐦</p><p>新年快乐</p><hr><h4 id="3-3"><a href="#3-3" class="headerlink" title="3.3"></a>3.3</h4><p>2 月的后半个月过的可太开心了。前几天回学校了，终于有点心思开始做了，其实这朵花之前稍微做了一点，现在又把它稍微完善了一下。</p><p>尽管是照着做的，很多操作也没怎么搞懂，但起码还是学到挺多东西，比如动画、材质什么的。</p><img src="https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/20210304204931.png" alt="iShot2021-03-04 20.49.15" style="zoom:50%;" /></li></ul><p>  ​</p>]]></content>
    
    
    <summary type="html">&lt;p&gt;​ &lt;img src=&quot;https://badbao-repo-1306509624.cos.ap-shanghai.myqcloud.com/c4d.jpeg&quot; alt=&quot;c4d&quot;&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;p&gt;​ 最近在做一个 unity 的 VR 项目，需要一些 3D 模型，所以高中玩过三年 3D 打印的我自然是想着自己做啦（自信），其实是因为网上能找的好看的素材都太贵了… 以前有用过 3D 建模的软件，用的是 Autodesk 的 inventor，是比较容易上手的，当初其实也就学了个皮毛，会做一点简单的 3D 的模型；最近正好手头项目有这个需求，又有一个朋友找我做一个模型，加上前段时间又萌生了自己捣鼓一台 3D 打印机的想法，又看到好多人都用 c4d 做出了超级好看的模型，于是乎，想先学学看这个。&lt;/p&gt;</summary>
    
    
    
    
    <category term="记录" scheme="https://github.com/thisisbadBao/tags/%E8%AE%B0%E5%BD%95/"/>
    
    <category term="c4d" scheme="https://github.com/thisisbadBao/tags/c4d/"/>
    
    <category term="新坑" scheme="https://github.com/thisisbadBao/tags/%E6%96%B0%E5%9D%91/"/>
    
    <category term="咕咕咕" scheme="https://github.com/thisisbadBao/tags/%E5%92%95%E5%92%95%E5%92%95/"/>
    
  </entry>
  
  <entry>
    <title>Hello World</title>
    <link href="https://github.com/thisisbadBao/2021/01/28/My-First-Blog/"/>
    <id>https://github.com/thisisbadBao/2021/01/28/My-First-Blog/</id>
    <published>2021-01-28T11:43:25.000Z</published>
    <updated>2021-02-10T02:58:53.792Z</updated>
    
    <content type="html"><![CDATA[<p>跟着教程把这个博客搭了起来，用的是hexo，部署在github上，花八块钱注册了个域名，起飞！</p><hr><p>日后再慢慢完善这个博客吧  先睡了    2021/1/30   0:15</p>]]></content>
    
    
      
      
    <summary type="html">&lt;p&gt;跟着教程把这个博客搭了起来，用的是hexo，部署在github上，花八块钱注册了个域名，起飞！&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;日后再慢慢完善这个博客吧  先睡了    2021/1/30   0:15&lt;/p&gt;
</summary>
      
    
    
    
    
    <category term="hexo" scheme="https://github.com/thisisbadBao/tags/hexo/"/>
    
    <category term="博客" scheme="https://github.com/thisisbadBao/tags/%E5%8D%9A%E5%AE%A2/"/>
    
    <category term="睡觉" scheme="https://github.com/thisisbadBao/tags/%E7%9D%A1%E8%A7%89/"/>
    
  </entry>
  
</feed>