diff --git a/README.md b/README.md index 381b61a2238..f8e670983e3 100755 --- a/README.md +++ b/README.md @@ -1,10 +1,7 @@ -👉 [阿里云双11服务器新人优惠,2核2g ,一年仅需58元!数量有限!速抢](https://www.aliyun.com/minisite/goods?taskPkg=1111ydsrwb&pkgSid=1532&recordId=959605&userCode=hf47liqn) +👏 重大更新!!!重磅! -👉 如果你不知道该学习什么的话,请看 [Java 学习线路图是怎样的?]( https://zhuanlan.zhihu.com/p/379041500) (原创不易,欢迎点赞,精简版学习路线正在路上),这是 2021 最新最完善的 Java 学习路线!另外,[我的朋友整理了一份消息队列常见面试题,需要的小伙伴可以点击领取!](http://mp.weixin.qq.com/s?__biz=Mzg2OTA0Njk0OA==&mid=100025985&idx=1&sn=681af486050fabbeea27fa1c3bec5d65&chksm=4ea1e94a79d6605c72f280b5268100c6e96c6ab1dc9a0178b33e25a72ff5f4eac3dcb56fa44f#rd)。 - -👉 推荐 [在线阅读](https://snailclimb.gitee.io/javaguide) (Github 访问速度比较慢可能会导致部分图片无法刷新出来) - -👉 书单已经被移动到 [awesome-cs](https://github.com/CodingDocs/awesome-cs) 这个仓库。 +- JavaGuide 在线阅读版(新版,推荐👍):https://javaguide.cn/ +- JavaGuide 在线阅读版(老版):https://snailclimb.gitee.io/javaguide/#/ 👉 [朋友开源的面试八股文系列](https://github.com/csguide-dabai/interview-guide)。 diff --git a/docs/.vuepress/config.js b/docs/.vuepress/config.js index 9d7ecc79bec..b9ce3f6d372 100644 --- a/docs/.vuepress/config.js +++ b/docs/.vuepress/config.js @@ -20,11 +20,22 @@ module.exports = config({ "script", { src: "https://cdn.jsdelivr.net/npm/@babel/standalone/babel.min.js" }, ], + // 添加百度统计 + [ + "script",{}, + `var _hmt = _hmt || []; + (function() { + var hm = document.createElement("script"); + hm.src = "https://hm.baidu.com/hm.js?5dd2e8c97962d57b7b8fea1737c01743"; + var s = document.getElementsByTagName("script")[0]; + s.parentNode.insertBefore(hm, s); + })();` + ] ], themeConfig: { logo: "/logo.png", - hostname: "https://vuepress-theme-hope-demo.mrhope.site", + hostname: "https://javaguide.cn/", author: "Guide哥", repo: "https://github.com/Snailclimb/JavaGuide", nav: [ @@ -70,7 +81,7 @@ module.exports = config({ icon: "git", prefix: "git/", collapsable: false, - children: ["git", "github小技巧"] + children: ["git-intro", "github技巧"] }, { title: "Docker", diff --git a/docs/about-the-author/readme.md b/docs/about-the-author/readme.md index 1f1e00a57c5..cdf185586d7 100644 --- a/docs/about-the-author/readme.md +++ b/docs/about-the-author/readme.md @@ -23,7 +23,7 @@ - **对于 Java 初学者来说:** 本文档倾向于给你提供一个比较详细的学习路径,让你对于 Java 整体的知识体系有一个初步认识。另外,本文的一些文章也是你学习和复习 Java 知识不错的实践; - **对于非 Java 初学者来说:** 本文档更适合回顾知识,准备面试,搞清面试应该把重心放在那些问题上。要搞清楚这个道理:提前知道那些面试常见,不是为了背下来应付面试,而是为了让你可以更有针对的学习重点。 -## 如何看到 JavaGuide 的 star 数量很多? +## 如何看待 JavaGuide 的 star 数量很多? [JavaGuide](https://github.com/Snailclimb) 目前已经是 Java 领域 star 数量最多的几个项目之一,登顶过很多次 Github Trending。 @@ -43,10 +43,10 @@ ![](https://my-blog-to-use.oss-cn-beijing.aliyuncs.com/2020-8/1d38ea3b-da2a-41df-9ac4-087356e9b5b4-20200802185910087.png) -## 为什么自称 Guide 哥? +## 为什么自称 Guide哥? -可能是因为我的项目名字叫做 JavaGudie ,所以导致有很多人称呼我为 **Gudie哥**。 +可能是因为我的项目名字叫做 JavaGudie ,所以导致有很多人称呼我为 **Guide哥**。 -后面,为了读者更方便称呼,我就将自己的笔名改成了 **Gudie哥**。 +后面,为了读者更方便称呼,我就将自己的笔名改成了 **Guide哥**。 我早期写文章用的笔名是 SnailClimb 。很多人不知道这个名字是啥意思,给大家拆解一下就清楚了。SnailClimb=Snail(蜗牛)+Climb(攀登)。我从小就非常喜欢听周杰伦的歌曲,特别是他的《蜗牛》🐌 这首歌曲,另外,当年我高考发挥的算是比较失常,上了大学之后还算是比较“奋青”,所以,我就给自己起的笔名叫做 SnailClimb ,寓意自己要不断向上攀登,哈哈 diff --git "a/docs/cs-basics/network/\350\260\242\345\270\214\344\273\201\350\200\201\345\270\210\347\232\204\343\200\212\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234\343\200\213\345\206\205\345\256\271\346\200\273\347\273\223.md" "b/docs/cs-basics/network/\350\260\242\345\270\214\344\273\201\350\200\201\345\270\210\347\232\204\343\200\212\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234\343\200\213\345\206\205\345\256\271\346\200\273\347\273\223.md" index d40776d58b9..df0b07537fd 100644 --- "a/docs/cs-basics/network/\350\260\242\345\270\214\344\273\201\350\200\201\345\270\210\347\232\204\343\200\212\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234\343\200\213\345\206\205\345\256\271\346\200\273\347\273\223.md" +++ "b/docs/cs-basics/network/\350\260\242\345\270\214\344\273\201\350\200\201\345\270\210\347\232\204\343\200\212\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234\343\200\213\345\206\205\345\256\271\346\200\273\347\273\223.md" @@ -141,19 +141,19 @@ tag: 1. **物理层的主要任务就是确定与传输媒体接口有关的一些特性,如机械特性,电气特性,功能特性,过程特性。** 2. 一个数据通信系统可划分为三大部分,即源系统,传输系统,目的系统。源系统包括源点(或源站,信源)和发送器,目的系统包括接收器和终点。 -3. **通信的目的是传送消息。如话音,文字,图像等都是消息,数据是运送消息的实体。信号则是数据的电器或电磁的表现。** +3. **通信的目的是传送消息。如话音,文字,图像等都是消息,数据是运送消息的实体。信号则是数据的电气或电磁的表现。** 4. 根据信号中代表消息的参数的取值方式不同,信号可分为模拟信号(或连续信号)和数字信号(或离散信号)。在使用时间域(简称时域)的波形表示数字信号时,代表不同离散数值的基本波形称为码元。 5. 根据双方信息交互的方式,通信可划分为单向通信(或单工通信),双向交替通信(或半双工通信),双向同时通信(全双工通信)。 6. 来自信源的信号称为基带信号。信号要在信道上传输就要经过调制。调制有基带调制和带通调制之分。最基本的带通调制方法有调幅,调频和调相。还有更复杂的调制方法,如正交振幅调制。 7. 要提高数据在信道上的传递速率,可以使用更好的传输媒体,或使用先进的调制技术。但数据传输速率不可能任意被提高。 8. 传输媒体可分为两大类,即导引型传输媒体(双绞线,同轴电缆,光纤)和非导引型传输媒体(无线,红外,大气激光)。 -9. 了有效利用光纤资源,在光纤干线和用户之间广泛使用无源光网络 PON。无源光网络无需配备电源,其长期运营成本和管理成本都很低。最流行的无源光网络是以太网无源光网络 EPON 和吉比特无源光网络 GPON。 +9. 为了有效利用光纤资源,在光纤干线和用户之间广泛使用无源光网络 PON。无源光网络无需配备电源,其长期运营成本和管理成本都很低。最流行的无源光网络是以太网无源光网络 EPON 和吉比特无源光网络 GPON。 ### 2.3. 补充 #### 2.3.1. 物理层主要做啥? -物理层主要做的事情就是 **透明地传送比特流**。也可以将物理层的主要任务描述为确定与传输媒体的接口的一些特性,即:机械特性(接口所用接线器的一些物理属性如形状尺寸),电气特性(接口电缆的各条线上出现的电压的范围),功能特性(某条线上出现的某一电平的电压的意义),过程特性(对于不同功能能的各种可能事件的出现顺序)。 +物理层主要做的事情就是 **透明地传送比特流**。也可以将物理层的主要任务描述为确定与传输媒体的接口的一些特性,即:机械特性(接口所用接线器的一些物理属性如形状和尺寸),电气特性(接口电缆的各条线上出现的电压的范围),功能特性(某条线上出现的某一电平的电压的意义),过程特性(对于不同功能的各种可能事件的出现顺序)。 **物理层考虑的是怎样才能在连接各种计算机的传输媒体上传输数据比特流,而不是指具体的传输媒体。** 现有的计算机网络中的硬件设备和传输媒体的种类非常繁多,而且通信手段也有许多不同的方式。物理层的作用正是尽可能地屏蔽掉这些传输媒体和通信手段的差异,使物理层上面的数据链路层感觉不到这些差异,这样就可以使数据链路层只考虑完成本层的协议和服务,而不必考虑网络的具体传输媒体和通信手段是什么。 @@ -167,7 +167,7 @@ tag: #### 2.3.3. 几种常用的宽带接入技术,主要是 ADSL 和 FTTx -用户到互联网的宽带接入方法有非对称数字用户线 ADSL(用数字技术对现有的模拟电话线进行改造,而不需要重新布线。ASDL 的快速版本是甚高速数字用户线 VDSL。),光纤同轴混合网 HFC(是在目前覆盖范围很广的有线电视网的基础上开发的一种居民宽带接入网)和 FTTx(即光纤到······)。 +用户到互联网的宽带接入方法有非对称数字用户线 ADSL(用数字技术对现有的模拟电话线进行改造,而不需要重新布线。ADSL 的快速版本是甚高速数字用户线 VDSL。),光纤同轴混合网 HFC(是在目前覆盖范围很广的有线电视网的基础上开发的一种居民宽带接入网)和 FTTx(即光纤到······)。 ## 3. 数据链路层(Data Link Layer) @@ -183,7 +183,7 @@ tag: 6. **误码率 BER(Bit Error Rate )** :在一段时间内,传输错误的比特占所传输比特总数的比率。 7. **PPP(Point-to-Point Protocol )** :点对点协议。即用户计算机和 ISP 进行通信时所使用的数据链路层协议。以下是 PPP 帧的示意图: ![PPP](https://img-blog.csdnimg.cn/img_convert/298dbdeb16f98cec02c3954d8d95c1d6.png) -8. **MAC 地址(Media Access Control 或者 Medium Access Control)** :意译为媒体访问控制,或称为物理地址、硬件地址,用来定义网络设备的位置。在 OSI 模型中,第三层网络层负责 IP 地址,第二层数据链路层则负责 MAC 地址。因此一个主机会有一个 MAC 地址,而每个网络位置会有一个专属于它的 IP 地址 。地址是识别某个系统的重要标识符,“名字指出我们所要寻找的资源,地址指出资源所在的地方,路由告诉我们如何到达该处。 +8. **MAC 地址(Media Access Control 或者 Medium Access Control)** :意译为媒体访问控制,或称为物理地址、硬件地址,用来定义网络设备的位置。在 OSI 模型中,第三层网络层负责 IP 地址,第二层数据链路层则负责 MAC 地址。因此一个主机会有一个 MAC 地址,而每个网络位置会有一个专属于它的 IP 地址 。地址是识别某个系统的重要标识符,“名字指出我们所要寻找的资源,地址指出资源所在的地方,路由告诉我们如何到达该处。” ![ARP (Address Resolution Protocol) explained](https://img-blog.csdnimg.cn/img_convert/002b2e6e45d66e805008fafc310afef0.png) @@ -192,7 +192,7 @@ tag: ### 3.2. 重要知识点总结 -1. 链路是从一个结点到相邻节点的一段物理链路,数据链路则在链路的基础上增加了一些必要的硬件(如网络适配器)和软件(如协议的实现) +1. 链路是从一个结点到相邻结点的一段物理链路,数据链路则在链路的基础上增加了一些必要的硬件(如网络适配器)和软件(如协议的实现) 2. 数据链路层使用的主要是**点对点信道**和**广播信道**两种。 3. 数据链路层传输的协议数据单元是帧。数据链路层的三个基本问题是:**封装成帧**,**透明传输**和**差错检测** 4. **循环冗余检验 CRC** 是一种检错方法,而帧检验序列 FCS 是添加在数据后面的冗余码 @@ -201,7 +201,7 @@ tag: 7. **局域网的优点是:具有广播功能,从一个站点可方便地访问全网;便于系统的扩展和逐渐演变;提高了系统的可靠性,可用性和生存性。** 8. 计算机与外接局域网通信需要通过通信适配器(或网络适配器),它又称为网络接口卡或网卡。**计算器的硬件地址就在适配器的 ROM 中**。 9. 以太网采用的无连接的工作方式,对发送的数据帧不进行编号,也不要求对方发回确认。目的站收到有差错帧就把它丢掉,其他什么也不做 -10. 以太网采用的协议是具有冲突检测的**载波监听多点接入 CSMA/CD**。协议的特点是:**发送前先监听,边发送边监听,一旦发现总线上出现了碰撞,就立即停止发送。然后按照退避算法等待一段随机时间后再次发送。** 因此,每一个站点在自己发送数据之后的一小段时间内,存在这遭遇碰撞的可能性。以太网上的各站点平等的争用以太网信道 +10. 以太网采用的协议是具有冲突检测的**载波监听多点接入 CSMA/CD**。协议的特点是:**发送前先监听,边发送边监听,一旦发现总线上出现了碰撞,就立即停止发送。然后按照退避算法等待一段随机时间后再次发送。** 因此,每一个站点在自己发送数据之后的一小段时间内,存在着遭遇碰撞的可能性。以太网上的各站点平等地争用以太网信道 11. 以太网的适配器具有过滤功能,它只接收单播帧,广播帧和多播帧。 12. 使用集线器可以在物理层扩展以太网(扩展后的以太网仍然是一个网络) @@ -233,9 +233,9 @@ tag: 2. 在互联网的交付有两种,一是在本网络直接交付不用经过路由器,另一种是和其他网络的间接交付,至少经过一个路由器,但最后一次一定是直接交付 3. 分类的 IP 地址由网络号字段(指明网络)和主机号字段(指明主机)组成。网络号字段最前面的类别指明 IP 地址的类别。IP 地址是一种分等级的地址结构。IP 地址管理机构分配 IP 地址时只分配网络号,主机号由得到该网络号的单位自行分配。路由器根据目的主机所连接的网络号来转发分组。一个路由器至少连接到两个网络,所以一个路由器至少应当有两个不同的 IP 地址 4. IP 数据报分为首部和数据两部分。首部的前一部分是固定长度,共 20 字节,是所有 IP 数据包必须具有的(源地址,目的地址,总长度等重要地段都固定在首部)。一些长度可变的可选字段固定在首部的后面。IP 首部中的生存时间给出了 IP 数据报在互联网中所能经过的最大路由器数。可防止 IP 数据报在互联网中无限制的兜圈子。 -5. **地址解析协议 ARP 把 IP 地址解析为硬件地址。ARP 的高速缓存可以大大减少网络上的通信量。因为这样可以使主机下次再与同样地址的主机通信时,可以直接从高速缓存中找到所需要的硬件地址而不需要再去广播方式发送 ARP 请求分组** -6. 无分类域间路由选择 CIDR 是解决目前 IP 地址紧缺的一个好办法。CIDR 记法把 IP 地址后面加上斜线“/”,然后写上前缀所所占的位数。前缀(或网络前缀用来指明网络),前缀后面的部分是后缀,用来指明主机。CIDR 把前缀都相同的连续的 IP 地址组成一个“CIDR 地址块”,IP 地址分配都以 CIDR 地址块为单位。 -7. 网际控制报文协议是 IP 层的协议。ICMP 报文作为 IP 数据报的数据,加上首部后组成 IP 数据报发送出去。使用 ICMP 数据报并不是为了实现可靠传输。ICMP 允许主机或路由器报告差错情况和提供有关异常情况的报告。ICMP 报文的种类有两种 ICMP 差错报告报文和 ICMP 询问报文。 +5. **地址解析协议 ARP 把 IP 地址解析为硬件地址。ARP 的高速缓存可以大大减少网络上的通信量。因为这样可以使主机下次再与同样地址的主机通信时,可以直接从高速缓存中找到所需要的硬件地址而不需要再去以广播方式发送 ARP 请求分组** +6. 无分类域间路由选择 CIDR 是解决目前 IP 地址紧缺的一个好办法。CIDR 记法在 IP 地址后面加上斜线“/”,然后写上前缀所占的位数。前缀(或网络前缀)用来指明网络,前缀后面的部分是后缀,用来指明主机。CIDR 把前缀都相同的连续的 IP 地址组成一个“CIDR 地址块”,IP 地址分配都以 CIDR 地址块为单位。 +7. 网际控制报文协议是 IP 层的协议。ICMP 报文作为 IP 数据报的数据,加上首部后组成 IP 数据报发送出去。使用 ICMP 数据报并不是为了实现可靠传输。ICMP 允许主机或路由器报告差错情况和提供有关异常情况的报告。ICMP 报文的种类有两种,即 ICMP 差错报告报文和 ICMP 询问报文。 8. **要解决 IP 地址耗尽的问题,最根本的办法是采用具有更大地址空间的新版本 IP 协议-IPv6。** IPv6 所带来的变化有 ① 更大的地址空间(采用 128 位地址)② 灵活的首部格式 ③ 改进的选项 ④ 支持即插即用 ⑤ 支持资源的预分配 ⑥IPv6 的首部改为 8 字节对齐。 9. **虚拟专用网络 VPN 利用公用的互联网作为本机构专用网之间的通信载体。VPN 内使用互联网的专用地址。一个 VPN 至少要有一个路由器具有合法的全球 IP 地址,这样才能和本系统的另一个 VPN 通过互联网进行通信。所有通过互联网传送的数据都需要加密。** 10. MPLS 的特点是:① 支持面向连接的服务质量 ② 支持流量工程,平衡网络负载 ③ 有效的支持虚拟专用网 VPN。MPLS 在入口节点给每一个 IP 数据报打上固定长度的“标记”,然后根据标记在第二层(链路层)用硬件进行转发(在标记交换路由器中进行标记交换),因而转发速率大大加快。 @@ -248,13 +248,13 @@ tag: 1. **进程(process)** :指计算机中正在运行的程序实体。 2. **应用进程互相通信** :一台主机的进程和另一台主机中的一个进程交换数据的过程(另外注意通信真正的端点不是主机而是主机中的进程,也就是说端到端的通信是应用进程之间的通信)。 -3. **传输层的复用与分用** :复用指发送方不同的进程都可以通过统一个运输层协议传送数据。分用指接收方的运输层在剥去报文的首部后能把这些数据正确的交付到目的应用进程。 +3. **传输层的复用与分用** :复用指发送方不同的进程都可以通过同一个运输层协议传送数据。分用指接收方的运输层在剥去报文的首部后能把这些数据正确的交付到目的应用进程。 4. **TCP(Transmission Control Protocol)** :传输控制协议。 5. **UDP(User Datagram Protocol)** :用户数据报协议。 ![TCP和UDP](https://img-blog.csdnimg.cn/img_convert/2bd5bf90676c338864807ade87b7bdea.png) -6. **端口(port)** :端口的目的是为了确认对方机器是那个进程在于自己进行交互,比如 MSN 和 QQ 的端口不同,如果没有端口就可能出现 QQ 进程和 MSN 交互错误。端口又称协议端口号。 +6. **端口(port)** :端口的目的是为了确认对方机器的哪个进程在与自己进行交互,比如 MSN 和 QQ 的端口不同,如果没有端口就可能出现 QQ 进程和 MSN 交互错误。端口又称协议端口号。 7. **停止等待协议(stop-and-wait)** :指发送方每发送完一个分组就停止发送,等待对方确认,在收到确认之后在发送下一个分组。 8. **流量控制** : 就是让发送方的发送速率不要太快,既要让接收方来得及接收,也不要使网络发生拥塞。 9. **拥塞控制** :防止过多的数据注入到网络中,这样可以使网络中的路由器或链路不致过载。拥塞控制所要做的都有一个前提,就是网络能够承受现有的网络负荷。 @@ -264,16 +264,16 @@ tag: 1. **运输层提供应用进程之间的逻辑通信,也就是说,运输层之间的通信并不是真正在两个运输层之间直接传输数据。运输层向应用层屏蔽了下面网络的细节(如网络拓补,所采用的路由选择协议等),它使应用进程之间看起来好像两个运输层实体之间有一条端到端的逻辑通信信道。** 2. **网络层为主机提供逻辑通信,而运输层为应用进程之间提供端到端的逻辑通信。** 3. 运输层的两个重要协议是用户数据报协议 UDP 和传输控制协议 TCP。按照 OSI 的术语,两个对等运输实体在通信时传送的数据单位叫做运输协议数据单元 TPDU(Transport Protocol Data Unit)。但在 TCP/IP 体系中,则根据所使用的协议是 TCP 或 UDP,分别称之为 TCP 报文段或 UDP 用户数据报。 -4. **UDP 在传送数据之前不需要先建立连接,远地主机在收到 UDP 报文后,不需要给出任何确认。虽然 UDP 不提供可靠交付,但在某些情况下 UDP 确是一种最有效的工作方式。 TCP 提供面向连接的服务。在传送数据之前必须先建立连接,数据传送结束后要释放连接。TCP 不提供广播或多播服务。由于 TCP 要提供可靠的,面向连接的传输服务,这一难以避免增加了许多开销,如确认,流量控制,计时器以及连接管理等。这不仅使协议数据单元的首部增大很多,还要占用许多处理机资源。** -5. 硬件端口是不同硬件设备进行交互的接口,而软件端口是应用层各种协议进程与运输实体进行层间交互的一种地址。UDP 和 TCP 的首部格式中都有源端口和目的端口这两个重要字段。当运输层收到 IP 层交上来的运输层报文时,就能够 根据其首部中的目的端口号把数据交付应用层的目的应用层。(两个进程之间进行通信不光要知道对方 IP 地址而且要知道对方的端口号(为了找到对方计算机中的应用进程)) +4. **UDP 在传送数据之前不需要先建立连接,远地主机在收到 UDP 报文后,不需要给出任何确认。虽然 UDP 不提供可靠交付,但在某些情况下 UDP 确是一种最有效的工作方式。 TCP 提供面向连接的服务。在传送数据之前必须先建立连接,数据传送结束后要释放连接。TCP 不提供广播或多播服务。由于 TCP 要提供可靠的,面向连接的传输服务,难以避免地增加了许多开销,如确认,流量控制,计时器以及连接管理等。这不仅使协议数据单元的首部增大很多,还要占用许多处理机资源。** +5. 硬件端口是不同硬件设备进行交互的接口,而软件端口是应用层各种协议进程与运输实体进行层间交互的一种地址。UDP 和 TCP 的首部格式中都有源端口和目的端口这两个重要字段。当运输层收到 IP 层交上来的运输层报文时,就能够根据其首部中的目的端口号把数据交付应用层的目的应用层。(两个进程之间进行通信不光要知道对方 IP 地址而且要知道对方的端口号(为了找到对方计算机中的应用进程)) 6. 运输层用一个 16 位端口号标志一个端口。端口号只有本地意义,它只是为了标志计算机应用层中的各个进程在和运输层交互时的层间接口。在互联网的不同计算机中,相同的端口号是没有关联的。协议端口号简称端口。虽然通信的终点是应用进程,但只要把所发送的报文交到目的主机的某个合适端口,剩下的工作(最后交付目的进程)就由 TCP 和 UDP 来完成。 -7. 运输层的端口号分为服务器端使用的端口号(0~1023 指派给熟知端口,1024~49151 是登记端口号)和客户端暂时使用的端口号(49152~65535) +7. 运输层的端口号分为服务器端使用的端口号(0˜1023 指派给熟知端口,1024˜49151 是登记端口号)和客户端暂时使用的端口号(49152˜65535) 8. **UDP 的主要特点是 ① 无连接 ② 尽最大努力交付 ③ 面向报文 ④ 无拥塞控制 ⑤ 支持一对一,一对多,多对一和多对多的交互通信 ⑥ 首部开销小(只有四个字段:源端口,目的端口,长度和检验和)** 9. **TCP 的主要特点是 ① 面向连接 ② 每一条 TCP 连接只能是一对一的 ③ 提供可靠交付 ④ 提供全双工通信 ⑤ 面向字节流** -10. **TCP 用主机的 IP 地址加上主机上的端口号作为 TCP 连接的端点。这样的端点就叫做套接字(socket)或插口。套接字用(IP 地址:端口号)来表示。每一条 TCP 连接唯一被通信两端的两个端点所确定。** +10. **TCP 用主机的 IP 地址加上主机上的端口号作为 TCP 连接的端点。这样的端点就叫做套接字(socket)或插口。套接字用(IP 地址:端口号)来表示。每一条 TCP 连接唯一地被通信两端的两个端点所确定。** 11. 停止等待协议是为了实现可靠传输的,它的基本原理就是每发完一个分组就停止发送,等待对方确认。在收到确认后再发下一个分组。 12. 为了提高传输效率,发送方可以不使用低效率的停止等待协议,而是采用流水线传输。流水线传输就是发送方可连续发送多个分组,不必每发完一个分组就停下来等待对方确认。这样可使信道上一直有数据不间断的在传送。这种传输方式可以明显提高信道利用率。 -13. 停止等待协议中超时重传是指只要超过一段时间仍然没有收到确认,就重传前面发送过的分组(认为刚才发送过的分组丢失了)。因此每发送完一个分组需要设置一个超时计时器,其重转时间应比数据在分组传输的平均往返时间更长一些。这种自动重传方式常称为自动重传请求 ARQ。另外在停止等待协议中若收到重复分组,就丢弃该分组,但同时还要发送确认。连续 ARQ 协议可提高信道利用率。发送维持一个发送窗口,凡位于发送窗口内的分组可连续发送出去,而不需要等待对方确认。接收方一般采用累积确认,对按序到达的最后一个分组发送确认,表明到这个分组位置的所有分组都已经正确收到了。 +13. 停止等待协议中超时重传是指只要超过一段时间仍然没有收到确认,就重传前面发送过的分组(认为刚才发送过的分组丢失了)。因此每发送完一个分组需要设置一个超时计时器,其重传时间应比数据在分组传输的平均往返时间更长一些。这种自动重传方式常称为自动重传请求 ARQ。另外在停止等待协议中若收到重复分组,就丢弃该分组,但同时还要发送确认。连续 ARQ 协议可提高信道利用率。发送维持一个发送窗口,凡位于发送窗口内的分组可连续发送出去,而不需要等待对方确认。接收方一般采用累积确认,对按序到达的最后一个分组发送确认,表明到这个分组位置的所有分组都已经正确收到了。 14. TCP 报文段的前 20 个字节是固定的,后面有 4n 字节是根据需要增加的选项。因此,TCP 首部的最小长度是 20 字节。 15. **TCP 使用滑动窗口机制。发送窗口里面的序号表示允许发送的序号。发送窗口后沿的后面部分表示已发送且已收到确认,而发送窗口前沿的前面部分表示不允许发送。发送窗口后沿的变化情况有两种可能,即不动(没有收到新的确认)和前移(收到了新的确认)。发送窗口的前沿通常是不断向前移动的。一般来说,我们总是希望数据传输更快一些。但如果发送方把数据发送的过快,接收方就可能来不及接收,这就会造成数据的丢失。所谓流量控制就是让发送方的发送速率不要太快,要让接收方来得及接收。** 16. 在某段时间,若对网络中某一资源的需求超过了该资源所能提供的可用部分,网络的性能就要变坏。这种情况就叫拥塞。拥塞控制就是为了防止过多的数据注入到网络中,这样就可以使网络中的路由器或链路不致过载。拥塞控制所要做的都有一个前提,就是网络能够承受现有的网络负荷。拥塞控制是一个全局性的过程,涉及到所有的主机,所有的路由器,以及与降低网络传输性能有关的所有因素。相反,流量控制往往是点对点通信量的控制,是个端到端的问题。流量控制所要做到的就是抑制发送端发送数据的速率,以便使接收端来得及接收。 @@ -305,7 +305,7 @@ tag:

https://www.seobility.net/en/wiki/HTTP_headers

-2. **文件传输协议(FTP)** :FTP 是 File TransferProtocol(文件传输协议)的英文简称,而中文简称为“文传协议”。用于 Internet 上的控制文件的双向传输。同时,它也是一个应用程序(Application)。基于不同的操作系统有不同的 FTP 应用程序,而所有这些应用程序都遵守同一种协议以传输文件。在 FTP 的使用当中,用户经常遇到两个概念:"下载"(Download)和"上传"(Upload)。 "下载"文件就是从远程主机拷贝文件至自己的计算机上;"上传"文件就是将文件从自己的计算机中拷贝至远程主机上。用 Internet 语言来说,用户可通过客户机程序向(从)远程主机上传(下载)文件。 +2. **文件传输协议(FTP)** :FTP 是 File Transfer Protocol(文件传输协议)的英文简称,而中文简称为“文传协议”。用于 Internet 上的控制文件的双向传输。同时,它也是一个应用程序(Application)。基于不同的操作系统有不同的 FTP 应用程序,而所有这些应用程序都遵守同一种协议以传输文件。在 FTP 的使用当中,用户经常遇到两个概念:"下载"(Download)和"上传"(Upload)。 "下载"文件就是从远程主机拷贝文件至自己的计算机上;"上传"文件就是将文件从自己的计算机中拷贝至远程主机上。用 Internet 语言来说,用户可通过客户机程序向(从)远程主机上传(下载)文件。 ![FTP工作过程](https://img-blog.csdnimg.cn/img_convert/3f1abf8adba4aa317eca69c489e3db23.png) @@ -340,7 +340,7 @@ HTTP 协议的本质就是一种浏览器与服务器之间约定好的通信格 ### 6.2. 重要知识点总结 -1. 文件传输协议(FTP)使用 TCP 可靠的运输服务。FTP 使用客户服务器方式。一个 FTP 服务器进程可以同时为多个用户提供服务。在进进行文件传输时,FTP 的客户和服务器之间要先建立两个并行的 TCP 连接:控制连接和数据连接。实际用于传输文件的是数据连接。 +1. 文件传输协议(FTP)使用 TCP 可靠的运输服务。FTP 使用客户服务器方式。一个 FTP 服务器进程可以同时为多个用户提供服务。在进行文件传输时,FTP 的客户和服务器之间要先建立两个并行的 TCP 连接:控制连接和数据连接。实际用于传输文件的是数据连接。 2. 万维网客户程序与服务器之间进行交互使用的协议是超文本传输协议 HTTP。HTTP 使用 TCP 连接进行可靠传输。但 HTTP 本身是无连接、无状态的。HTTP/1.1 协议使用了持续连接(分为非流水线方式和流水线方式) 3. 电子邮件把邮件发送到收件人使用的邮件服务器,并放在其中的收件人邮箱中,收件人可随时上网到自己使用的邮件服务器读取,相当于电子邮箱。 4. 一个电子邮件系统有三个重要组成构件:用户代理、邮件服务器、邮件协议(包括邮件发送协议,如 SMTP,和邮件读取协议,如 POP3 和 IMAP)。用户代理和邮件服务器都要运行这些协议。 diff --git a/docs/database/redis/images/redis-all/redis-list.drawio b/docs/database/redis/images/redis-all/redis-list.drawio new file mode 100644 index 00000000000..afa767154b7 --- /dev/null +++ b/docs/database/redis/images/redis-all/redis-list.drawio @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git a/docs/database/redis/images/redis-all/redis-list.png b/docs/database/redis/images/redis-all/redis-list.png new file mode 100644 index 00000000000..4fb4e36cb49 Binary files /dev/null and b/docs/database/redis/images/redis-all/redis-list.png differ diff --git a/docs/database/redis/images/redis-all/redis-rollBack.png b/docs/database/redis/images/redis-all/redis-rollBack.png new file mode 100644 index 00000000000..91f7f46d66d Binary files /dev/null and b/docs/database/redis/images/redis-all/redis-rollBack.png differ diff --git a/docs/database/redis/images/redis-all/redis-vs-memcached.png b/docs/database/redis/images/redis-all/redis-vs-memcached.png new file mode 100644 index 00000000000..23844d67e6f Binary files /dev/null and b/docs/database/redis/images/redis-all/redis-vs-memcached.png differ diff --git a/docs/database/redis/images/redis-all/redis4.0-more-thread.png b/docs/database/redis/images/redis-all/redis4.0-more-thread.png new file mode 100644 index 00000000000..e7e19e52e17 Binary files /dev/null and b/docs/database/redis/images/redis-all/redis4.0-more-thread.png differ diff --git "a/docs/database/redis/images/redis-all/redis\344\272\213\344\273\266\345\244\204\347\220\206\345\231\250.png" "b/docs/database/redis/images/redis-all/redis\344\272\213\344\273\266\345\244\204\347\220\206\345\231\250.png" new file mode 100644 index 00000000000..fc280fffaba Binary files /dev/null and "b/docs/database/redis/images/redis-all/redis\344\272\213\344\273\266\345\244\204\347\220\206\345\231\250.png" differ diff --git "a/docs/database/redis/images/redis-all/redis\344\272\213\345\212\241.png" "b/docs/database/redis/images/redis-all/redis\344\272\213\345\212\241.png" new file mode 100644 index 00000000000..eb0c404cafd Binary files /dev/null and "b/docs/database/redis/images/redis-all/redis\344\272\213\345\212\241.png" differ diff --git "a/docs/database/redis/images/redis-all/redis\350\277\207\346\234\237\346\227\266\351\227\264.png" "b/docs/database/redis/images/redis-all/redis\350\277\207\346\234\237\346\227\266\351\227\264.png" new file mode 100644 index 00000000000..27df6ead8e4 Binary files /dev/null and "b/docs/database/redis/images/redis-all/redis\350\277\207\346\234\237\346\227\266\351\227\264.png" differ diff --git a/docs/database/redis/images/redis-all/try-redis.png b/docs/database/redis/images/redis-all/try-redis.png new file mode 100644 index 00000000000..cd21a6518e4 Binary files /dev/null and b/docs/database/redis/images/redis-all/try-redis.png differ diff --git a/docs/database/redis/images/redis-all/what-is-redis.png b/docs/database/redis/images/redis-all/what-is-redis.png new file mode 100644 index 00000000000..913881ac6cf Binary files /dev/null and b/docs/database/redis/images/redis-all/what-is-redis.png differ diff --git "a/docs/database/redis/images/redis-all/\344\275\277\347\224\250\347\274\223\345\255\230\344\271\213\345\220\216.png" "b/docs/database/redis/images/redis-all/\344\275\277\347\224\250\347\274\223\345\255\230\344\271\213\345\220\216.png" new file mode 100644 index 00000000000..2c73bd90276 Binary files /dev/null and "b/docs/database/redis/images/redis-all/\344\275\277\347\224\250\347\274\223\345\255\230\344\271\213\345\220\216.png" differ diff --git "a/docs/database/redis/images/redis-all/\345\212\240\345\205\245\345\270\203\351\232\206\350\277\207\346\273\244\345\231\250\345\220\216\347\232\204\347\274\223\345\255\230\345\244\204\347\220\206\346\265\201\347\250\213.png" "b/docs/database/redis/images/redis-all/\345\212\240\345\205\245\345\270\203\351\232\206\350\277\207\346\273\244\345\231\250\345\220\216\347\232\204\347\274\223\345\255\230\345\244\204\347\220\206\346\265\201\347\250\213.png" new file mode 100644 index 00000000000..a2c2ed6906f Binary files /dev/null and "b/docs/database/redis/images/redis-all/\345\212\240\345\205\245\345\270\203\351\232\206\350\277\207\346\273\244\345\231\250\345\220\216\347\232\204\347\274\223\345\255\230\345\244\204\347\220\206\346\265\201\347\250\213.png" differ diff --git "a/docs/database/redis/images/redis-all/\345\215\225\344\275\223\346\236\266\346\236\204.png" "b/docs/database/redis/images/redis-all/\345\215\225\344\275\223\346\236\266\346\236\204.png" new file mode 100644 index 00000000000..648a404af8c Binary files /dev/null and "b/docs/database/redis/images/redis-all/\345\215\225\344\275\223\346\236\266\346\236\204.png" differ diff --git "a/docs/database/redis/images/redis-all/\347\274\223\345\255\230\347\232\204\345\244\204\347\220\206\346\265\201\347\250\213.png" "b/docs/database/redis/images/redis-all/\347\274\223\345\255\230\347\232\204\345\244\204\347\220\206\346\265\201\347\250\213.png" new file mode 100644 index 00000000000..11860ae1f02 Binary files /dev/null and "b/docs/database/redis/images/redis-all/\347\274\223\345\255\230\347\232\204\345\244\204\347\220\206\346\265\201\347\250\213.png" differ diff --git "a/docs/database/redis/images/redis-all/\347\274\223\345\255\230\347\251\277\351\200\217\346\203\205\345\206\265.png" "b/docs/database/redis/images/redis-all/\347\274\223\345\255\230\347\251\277\351\200\217\346\203\205\345\206\265.png" new file mode 100644 index 00000000000..e7298c15ed6 Binary files /dev/null and "b/docs/database/redis/images/redis-all/\347\274\223\345\255\230\347\251\277\351\200\217\346\203\205\345\206\265.png" differ diff --git "a/docs/database/redis/images/redis-all/\351\233\206\344\270\255\345\274\217\347\274\223\345\255\230\346\236\266\346\236\204.png" "b/docs/database/redis/images/redis-all/\351\233\206\344\270\255\345\274\217\347\274\223\345\255\230\346\236\266\346\236\204.png" new file mode 100644 index 00000000000..5aff414baa4 Binary files /dev/null and "b/docs/database/redis/images/redis-all/\351\233\206\344\270\255\345\274\217\347\274\223\345\255\230\346\236\266\346\236\204.png" differ diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-read.drawio" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-read.drawio" new file mode 100644 index 00000000000..bc4c6d0cca7 --- /dev/null +++ "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-read.drawio" @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-read.png" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-read.png" new file mode 100644 index 00000000000..f8b9589d6d7 Binary files /dev/null and "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-read.png" differ diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-write.drawio" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-write.drawio" new file mode 100644 index 00000000000..6fddf10f064 --- /dev/null +++ "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-write.drawio" @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-write.png" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-write.png" new file mode 100644 index 00000000000..c976cc99b91 Binary files /dev/null and "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/cache-aside-write.png" differ diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/read-through.drawio" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/read-through.drawio" new file mode 100644 index 00000000000..7f7bfd71641 --- /dev/null +++ "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/read-through.drawio" @@ -0,0 +1 @@ +7LzXsuvIkiX4NWk281Bt0AAfobXWeGmDIrTW+PoG9sm8om7eriqbqp6xnj6CBAMI6R7Ll3s4+RtMdyc/x2OpDlne/gYB2fkbzPwGQeAHhp+3t+T6VfIBgF8FxVxlvz/01wK7uvPfC/94bKuyfPm7B9dhaNdq/PvCdOj7PF3/riye5+H4+8e+Q/v3vY5xkf9DgZ3G7T+W+lW2lr9KCQj/a7mQV0X5R88g9vl1p4v/ePj3mSxlnA3H3xTB7G8wPQ/D+uuqO+m8fRfvj3X5VY/7J3f/MrA579d/T4WzDRMIJQJbnjPYAxINz4F/AX9vZo/b7fcZ/wZh7dMgtYxx/w57vX5fC2za3rFS6dAO828w+dyci+T/Qp8mnp7p5/XvLv/v9xqmfha9X//lG3dVe/2q9rQVd+PPTRhGnvcun+fqyJ8ly+d/uPmXNv/hzri+A8zn6vsfqFTkw1xU8X+gxlp1jwpCQJ8f75yH7l2Yf3ftZV2GvvjnFX4f/9+u1fKzDd6VAvH/ho7nv7r7SyLv7X6Yu7j9y+02X9d8/pdHcmn1dPlnj6z5uf5L3FZF/+t2m3/Xv79Z9dmPRr13gb/p++fmOsf98n2a/KPxPv/LA8cwZ3/f9z9Uz/J0mOO1Gvo/qZ9Vy9jGv6tI1bfV39z7tkO8/m2dP5TxuSp+f//R2uSPAvC//caivxHPP+I3Fvvtw/1Goi9OxGmZ/8Zyv1H0bwT969PTCYv8RhG/kczvFwTzVn4+foj34kP/Rj4X+G8f6jcKeZsj2Le5t90/Sj7YbxTA/HUc878e2bMzkz8p+7XN/iiG/m7HQe+iPeVHWa25/azsW3w8QPuUlWvXPp/A5/LVit+R82e92jjJWypOm2Ietj6jf+3Xpz2Y+/nzl57+Fjz+AIJ8fjr9m6LfwYTPhy5f5+t55C/Y/juw/Y7sGPr75+OvOPmXZ8q/wUji97L4d2gu/tL0X9HrufgdwP4czAzGbWuBvwoWAn2apCccYf7lT7DslwqQ9I9c6d8++E/JI338dx34kFK8x/xrZf5EdG8t5hU/++gE8Db1R61fNV7dgH8U688F9zdCWtZ5aPI/ZPGjxI/kqrb9V0W/700mfSTzgCFMvRKpHoNE/n6jq7Ls7eZPteJH4Pm7SP8TRfij83+lNu/nv9EV6ufvf46uwDD839C/0xYE/0dtgYA/0RboP0FbMtZsP+1/j+a9S5j/nq81UdR/pi3/Worvso3/ZK5/oRxx8sfjwD9ZqX+6LBD891sIxv5kC0F/sigg8p+wKn9OCP7tVXmIzPheVt0Pd/qLgiqvthnDUv3CdyYZ1nXo/qd49P358ydKvg6vNsfL+IvTfavzVWrqp0vyj1Lgj5LnOovX+LEPvz5C3PhaXLryKN06AJkvBvL5o9luybrFc6W+L4xIk+HzTq++jOXPhbsCLWt6FhJsUEZ/7d8gCgIdYcctGzEnBdMiG4gt2koHcDSvqKsw2d04vmRFlw/0RLNKxbZ7u1BHF/aOqAHN5soooAFmOCyb+JkPaOwfPFjxhz2+2P/8y3+9LcRzQX3ufteJ6OcmBcJ78LzhO/G8Rujns29fdF8I9P70jBTZNk2btH7yiMXLznu9nZxYbE7WmFVKDmxja0heuaQt6U8DlKXSvMmgVKKU7QSwpi2KqrqyqEMttG2RSbK2E0vaT7GmZiTulA1pn2KUrOXAFrYjipSeHbj5U4xE8Uo1bEE7imjp6ZGYRWP6108xy1Y0wyiW7h4J2TQmD+FRXJJs8xQ7gqkDSESyi837eBhTIttcNOn0qQ6Ib3HO+7MZUSLZXBfr9CoPiBLLLdtbbFFiURwX4LQqf0gSS60b5A8mJT3FwAkwq86blMKW7QbxhU1JalGw6KNJ9FssvJPmTZuU1KVk0Ztaadr6t9eCBx7bTBWxnVTBSIzytujGzbr93uzmV8dx9Ht99odKcjGy2x6FLfgns+1MzLuZrjn92YLUvH0v52N+O8Jd5eTRSs7uukp951UlSKvY9XQ3Os83NfLc83ZQTwJixmLfDp4+wUjJgbj+PvUooqMt8T6dY8Rb8m3Zrc5nw3PK8795/ltKMyIdlrjnca6BfSqsseeB0hBKZfBgVnue/zyFTmK6zNMeXYc6OaKSSN+EfqpTQI053H6j0wMB1HIybY3O8G6IenMxtzSSsMsQBWbvvZbvHbYSqyW0pXZGYNIUdqQNbO9hYpp8xhbOnn7A8CPnbQ17fVSElPQO8LKI6BIE8Jt9t2mY7zEAXLbbfTTw6hDUiu3ge1EngutIiDRxgOnCP2jaX5GefJLqqkexOAEinKHpK+cdJqOrMeEdgefSSEwfnwq/sVK0F7HcuadJt8TBo0tnnxOvc7epaavGWlEi2e1brQQL2d/OeLpU390nP1MOPqJMqUkdAo/qCIhRvzAi5v2d88/VvJmodLNmM9GBYAaEMUN00DJfyqY+wIxZTbPzJ+RIYgkobrsLBsjrfEK8C4GKxDhZi9VlokQslfeKrK2ro6T5nCQ+SVhjEHLjyCtitQ0KJ6monepzX1lvNIiDmunb7Gkj1X4BwzVNaAhbbcooREz4mrzyZ8XT9/Btq1cfXnC59+qyPjNm4jYhlcscE3N0cA+qQ9YNTwLaFBu3Fx7oOd+Gtfu3ygCSPV5yq7hNW3OBzkTiLkH4SEd7X2zwLbdYzwRo1enurTUsD/BVuYmTtI/Tdi5Y7lFoh6/qDEnZ97Zqo2psx4snrHTCA8Gm7OmcXdiXZ5+HfL8ZoquznktLVEoMvhPEQ3YNJ9VXU1zsCKYNe7bfA7F9sF5zCOSocYGy8gitjBibBrkyXvK+E/Rg1/G1zknj8TqVjevuwHl0+bV+dAbHQ1LZVNAAJs8qWF1S+2F6gixvPbUvKYfh2GekeXpuwoqW1quvKCttY+kenv0MGkZvm1ZWLu18fZT5m3Fyfnr3wzrDlHjHHu4CZLbolIVNhjqAj7C8ATi2cyQTBiqeTFplnAa85r4KZn7EWyzNdaB1WxKIDUsXn2cNR2nS4mIe0GgfK9OYIVxrIghKE6SYzySMuL5n1HjsPUdTWRAP0QNu7AULNi69+7nprdu2MoQLgvfxLm3TuB64WNxEnAGhll9feGKdUqOithCtEoph+kvXUx1b6uk6yS8DJDRLIWKR8Fy2obXzBhpTVyc4Iym0hXrjP+P3V6ne2QGL39E0oepQaKU2fQZHkKqoum/TX1FuDNRia6UVgsoZsxLhhCTXfH7+rLE1Z/fJt9DTrkQPAVHP3tfhMxfMTV0zWsBeTtTPtr7ArUlWClRjpLTsbWOkbNv6EEchCWKF67xDZaGVHidO2V8tFwr/s9bAwy5IK7padommvR3MRxW+5nkqc6O7iiSw17fqBVF7MMxdUjx5POXHQCBZMJdlzbZAKgEBwdIhUDgHgMDvUhImfCWrF9Mm6UA8RdbQ5OEmUuIUhQ0fF7vuo0M2r5OF9tSXxH3sv8icHOwqbcnYjk7XF748DaWIvgzvxiyMmphhYRDfDy/mnvdjxC6MG+TjNTSUWmAiqITms9O54cVkTK5q4+FTC8TDdMvHcPudwBl7uOj2oMnZEqpTEFfvuUwZEVHu1/7OKOV3rxonyykwLO2ScbbQwFr7EyESEV8sr0GrEsbSeVpFNwumEqijFHxU6tMCjZHt1j5vnWHJ7HlbBvPMpz2pPE/CDrWU2pBRY9p0+6OyUyRG/ZT6vTcN9QRBXTYD1sj629SDpOEutoMRVumc5S1ygdGWV+yybrhHpwV27Yc1TbMRJcYDY6HCxxJNoXB6tI+qgqB0aMs2WjuXKZrTIG+vPSv3wdSgjG5hi0m+QdVIu6goONdA0LY2IYdFAuHTjJ0F8Jm8b5wIzcDiWFRq9hieiCNOmntAEyj1DKlDLl+jFrQTJtlc8DLxI7HQKaVCtThRxF4C2rpwHgE391rezxgqFd4iuUuG8PtisPzsPHJyhA7R7QomkEPmEeXhC98SaENqr6KNAhl9yaLU1Iazkac8xu5d+bw6Za/1D77xRblTYisTVY9vjerfPXm8dHBZH10CRhmdV9SxVUlht+hZ5FZjtTiDPycCCp8Amd625ssIMneJyGxMl1qCSvI+qj4aj0iPu5FX9hPd7Ij28wOx2YK8urTE5Uvo8lCx22Yi1tBkgBZ52aFQXuao9GA5L5wCrbShtA8eqMHjD0OUk8mOZIARHiLp8/HFk5agtzrZXn4jRT2zUobVPBDBba5Hl3iq00z10cbZLS69bXefuFJerNuGMJ9tM19D2/WBGeWcrsD0BLZg2yTwY0KSSsYDrDXHBLPzGBLJeqNKe51sdhkuhh/ePVTypjH3NskampceC0Rik6XoL1WX7JLAoRCPKV3o3qXEJbB57WGjKNoo3yiat9o2V1eGKMXEdoUvv5gKEbEfmh/vOj9OpAeCXFFaXnbTbshx1sG2DrxaaX/EPjORaX6u+aRN5e1jmqVS0PtDNstr+Aw77sn4YaLmKYGw2HFQcL2uGLqwaW4yiLQBc2VNiKbFlxa9ozrjDKxIEf9IaAgEOtiUUfrpKMbEPixhXgGYLqaXsDhKSS9cqKtdnGtfxuYHOvf1dsWj29BYyM7v2mL6yzTCVx7IyZ1HZYaIThxhm4hcm/LQKIyD+e4GEG4xi8ea+cFmOPGtZHrMGEeJ0mISLSVArj+3iBUgLxmluBkbjsZuzBPNsathDbj3B+1r6p+BIrnqu5GQpQrBhETuBbG+HTHDaxhkxj7Iog/KGTI0KgyhJMN0x3FAo/lFYKaHafQayoI/VCDk3cYMKLtia/i++OssJwDw7t2rm8tk7AqEuRcbrVLCH+YoON3gmmkJVMoqlDpzXh+jZmlXSld+abbBxZGvGKjzMKaFhddSyTau+ZVJ8aUrjrzFrj5wmfHKEXJEKv/y0amItyE+zxCPGXUzU2NZ3Vzs0NLywaMI24rFSdFelr+7n6YzG1SgoUN+GFb9OnFp5UDvtqgex8ssBXPrH2jgEfVhtA8tfX03PS6VJlftqret3QdF9Y6gb4PhMLtZ9+sRiCmbUywSrUx7OSJe9q/+igc8WKy9ts77HNWUSKDKIj6rZQs7Riqp1QjYaqGog0VkmP1dkdtPHPBx1rq8fzUv/+6eWPEUh23iO+7X9XjAh3qWVa8U+PrMUrkTj5F6pjtR5rmCJSXJpPCKHoIeaX5sNvIkLOybialhn/UZgK3aNiceNxR6DVswx2jBdk7Uuzaq4DO0lheDoMLKiFrnfqKxCCMdrsYac48+0kAETqM+bCoSxKUP9Lq+2771z4axTAt2600NtFKkV+qSb6rOWcvdlRSY9CJsVwWehjHHR//x5cLgXspTu8eqHSfDS+zHnlIZtM99bo8MbvdTtWaGXS9q6QDA609zKd59vqr/8WmRwnHbdnLz6OQ7tw5SBamV/b5N+C/asW0jHeukV7OaP76UPuiZh+AY4dmA6K4v/N/wmUClRHzs3C+bbwyzs61b4ccbFKK4bHrATjo3BZkxzKHdAikqb7ytOpD2pJdsncrN5WzrtNLi1dB9upPJ3Pt9GlHq3oukPms7rXOBVj43y7mToWbDQtba2a5ftKcG9N2d1z0a1ucrgR8/0I1XlJ1Mf+njj0An9aUPFtIyx6t8Q/uwC1OKuMfzCMvevY0tym1Ri6M5y/UFl3pd853TeDdmCnshLb7+pFFkhNfx9ynHowd09IdJb4FezXNTbGbV1PMY/GKkEdy/hOF72I2uT7+ea+4Hyv3H5X10mILLiGalzPTHj/9gq+TxxgZmUrGbqHpyfQLmnmV00uWLJa17uGF/C++rho6Fo3ixOSLJFl7LUItJS7xz05AFtE+rdKyUNrWneVTPkZxHX1n8vE5rSGmdAXhSkAoo/1IJer5F5PG8aDZS48c59EyggbKEYNPA/Uzd47ZSmlpxcJs5UNw3uPiA91L1N5UVbftQJkucb7X+JkszNWBU5jA1G4fEDRISb8e5aCo2xTb2oq7ZVEYA/ZhlHUOXdzQA5Jc26eZ72ogARkPviJoxgD64lAirYW0g++N39dztKKyJkpA913rfPFYdLRWFWfGBMhrA/n6q8o0NsWlMRSUC+MV8ykABZNYWdrCJ5xhpozNtXxI4t99IFr3xWN4xskTQxk9vAGzYZaw6qP54l34lOLgx8+Agmutjg+NraYqc8zb7cZHaK8p71vERD9bw0xqJ5dUdYXVqG/U3adR7CSUK6ySL13TeCW7QWSqU7AnZ5wMiEjd/SyXcbT8Qrg9tUXVFkWUpGVx5pp4fei3umiWnqAweGETYh4hgwevBvoBTKjO4YA3444lbNMb+6IS6zM6z2Ripig0GRimmo0kFdR1cYDJMIRUx1xrCo1kSkXT7BmwxSaGVfHeZ2Vez7dPSL4uzJMzhF/XjNCpNqWEfT+06hkl6i87l9WXj0t1syE3Bw2xGeDvTehgHL127NUWYSygT9aO82b6QNHCdZ71ubeahLtVH5ZVK51Gwxo1+XywAY14pn4KQGJfh+vfTxvcz7xfgxcQRDV7Guy3NsrNBuoTaKZP7ZS5BsW2vtIySMyQxdnPYwnoNTPfMFZFYOtoHV8zLW1okKAfO033aX3v1s0ZBhvVI11s79EHXx0hA+9gfZXvp0WMoHhekzbpTFEwgc2VDJUZ8GHC9X5bH4feZ4mrtezxldHzNAqRFjvuO9d6q9qWn6ouEGAJOiZtLVb5GPLBXr03CVEMxWPN82CTKlCet11zGnCHjXT42+/tKSofU2X2dBSWSFsFVjEP3IDIdhOiCGkFPWOTgRGyHz2x0uKkXp5KF0QAl4LQkKjlkN+KIPDoYrRfcJAmKdpQzZGS+aQ9XegMnAE8kVZ6k4WlT/ex2n+NOqpE1sqseqIdfTfCYGKyNcrI96Ux9eT4L5GhV4ZrQF7BfkPSGBfV+DwNt8FGB1hMXDFJxXT9xB48koced1RuW7yRy0hu1GNZ5rS4nu+tpe7Cx2NUixm/JF4EB1/bbLVTGkC/X2uRHewlcM3tRTfiDuWXXEYuKdtxnKb1MfV5J3QHgUFO/IRtPGElTHFz+0s9wf5FDq6uglvFltV77z7HslvbpqNJ9J1K9fgKljtaJpvISSXKooJ9oac/yuICoxgrmCc67tiJW+43vFCv4T7RObZOTK0cvEh+2ubaWa9/ewaAW8KWMXSggcOPaDyy4qUUjDzsJvjpEiskCoQ+7LBbstYlbn0AcaVXCNcm+WhDsKGnHEE/d+rS0FDjrD0G5n7l2hzZ1kxuikfYdfMT9IU5JaqjbO5NmZ75ps7tSDycsT2ivYVL5LIwbEC+F7hgxK2esh+F4EXW9NfbTbC4lUJxnHK2Qqx0sMPbdNHnLK5THiiclMd1xb0mw8625Fv3JQeEHkVs2i2BjQGSt1/dAM4fH2BOdbeuuI6X2AoO1/QXCcWZdExc2UdJk1VrWW5KE7weFrarVvuphimlKUk3smaN2WuyeCZ1mNo8N4XsxzDWwTN+4C+MQtn3Qx2PHXJBHBJnj36BsDvMKVr4yD7IXWMYWeIP4S/3MjLvpn+AqOdnCgNbC57EnsgulA9nn3oelemhEM2oHk9yarJ4Z3bhU2RBs9HdLXgNop/MrknqyIyl35+7rMcSXdMTImEhkWNDdiOE3lmO7nzSbWgJDJ9MiF6R08+RaJ/oWNlb1HTK5oDo2hvEYouTEjam+iwXYRSvyNr9kWQTTvigKyKwU5cq1lEfwGl13C3wo7lxGP0wEQLStd/F3NNi92B7lj1qjPg7FaNG8xlTpIies2JAEKzRSzkupcdFYJo+gY52xf2qNHD0eh/Ex03TtXSCXnRkzXrnD1OSoACIEqXJXFluM+BwpQa1O9xy6DdhnG5A3NsV1sUSDx+3gk/hlJlP88rsXblZENleGjZe56abJGA8TIrpH/hTPm3OGbpqpAjo28Yd0pyfP8QoLmFSjaNSKHrc9GzwSkXI7MORgma7kL9vXIlky+jBuZzSu5YbNUC0iQMaxi2BgyeaVIEY71VgDO3ggwNb5BUiHo8v3u6cTdQiaDyKSJRM8bvzGFZlWHfxXiAj7IelcMY4kRGuUVrwCfjzg+HlMYtdWYo7ycBqPlRsv31A6p02JjJSsuNwAnSOHsQpacLFRLENHthrB0wEWeo2oqVG7W6ZSq+v2wU5SqSpktk/z5KyPA0Ge9yk5NW1GUazaSeZkIsX3VkkHMcNzIB68zoomSitOmSlqq3KPpf1EZtiihF+g32VApBTgtgF83WPQG6Tl7DdOiSWEXs6ESFcIOCnE+vIDOnTn1NhkfH3Fz26ZapQtcn85b1QtAOJADzzQIxFabXedTpc5Q3Lk3TLdVBCSKKZUeH/o7uEc384cHL4VCmVXYqdILDPBi5/4CTZlaKN2F8e6ue+qflBdAZfYj/l8d8jzCJKguWcr07SmroD2L6kFH5Clku/zoiffAMbEUATZhtXT/TydyLRtUXIpZw9mqyKlZcPRN6ywzCJKPuT6PJ4dBZOPH5Wln6/fElHx8MMopJxXeINli/LyejT4T6VBlFh2ItF7AhGQfFykjEC/vgeEBe2JEcLZb6Xi6VHf8v2nilpIUqMO5PiCBvj26X+/xPhUYt2K9sgQAWMieU/iti3d5/itYlJyoy70+F3fczLBN4LPU8F9z9o80sVB7O0vUbZ3++6zfOk/FVJ5/GrH05sQGAE4fvmQbWzeJ92XCWBvb7OwvwT2qfKeksmFnmJrrh0GwYBhznwq75cjz6XvqSppu55uySgdiuJ7qvtnCQP/0wP4fzuL4Pr7VIB/83T8PyNn4E9Px7E/yTDBfxJC4L8mDP1/Mxfkz7I97N8H+Se5hP8PJfZHggPyR9rH38gMB/8XZnlA/+9neaDQv8ry+LNEKeTP9Bj7r9Ljf8eq/G+b5eEAzV+zPDLsgCyr5xiwOijPYYOWPj9HOFHFDs01a28XBy2qK5uv1Tiqc8LDYatCzRps/fqQmEzvoVbR5ui7nLC8/K9TlVcme4b/BKWiFo7g7+PHnxCOg879+In3GPX3dhTdyR7kurIhmdXhYauHEloqyxGZVVGKRR5mcKI8yTqnlpNsWjIHo4lCh2zrQ0ocieZ0bWZu1iAptWfu2PWf6UtLSQk5WqK0VBR5UqEgK5oqy/pIVxjqQVDsZRoamsU0KXYXK6a4L3SiT9OoLnRusVIHaUWVrH5u5nj6IAmYOyfRrEKRXM9VzKMSIaVmyBP7AljS0hoxxCHVUJ8+hCsV9LG0qaKobhaw0E4oxId6oZsyu+bbcenU8UGczEE60kFAb1yKpBPRtOAtzN8+3sllFs0yFMVt0sDcqkFaasPceeAXBf1MjhZ0sEQrrig2p0RbUTHTx06GVW2kf0zugjxo7O14Hdv75eniG5ImfjhDCcwf5T3p3hoVz87ASOHvGzKUPvsMGa/wzoGWmiIOagF+g/7OymaSB6J3DzoTAXIdJUvU4yOAIfAGUnkN5xe+ucz5C302zExscGiPyO3ysUvhZ6yfy83egEaL2OkZr7UrdjTTU7obN89UMScszYhGIZxg3ARpMHuz9yoZKVj9ZtpPpDACCg2VgQhJXfui2B7amAjta7JtipvsbGcDnZRH0bYJTVqgYDtYFajZ7Tb/dgA712GUoCGdZ+7UZeg0ZmTDQTRmk7zs3G8kM+fiIBgchB2EYxYM4PoJi3ef3l4ppbzFVMmOnSti5VkuFhEcr4t9yIGXGwGKNEqKXOlyp48htagJSWLaIJJ12TNed0EJ1NIm34g/ZyOESn6Mad4Oj7fhipcQzFqxwkZnzGQkDdyAFguTdzyRnSELFoOOkEsuHUiK/cuTehdxJN/RHd/5IwDF0n4DcEJQJDZtpMT8jhI4g8ln/9dpNqoAKBqw/KUs4ighQEZpOoASh0CoksgODc6ObG6XTYE9zsh34waIPKLPj6haEf5qIkUW5v3TFhXrYqFkZO1IGelJESu+UNDkClqGzwPYw3FBxTajt/I2NXyJmzcXyoRUnzNDtXOVSCwkILWkiqfIqs0xfRSNow9mfg/MLE0iBQM7YZpu6NNbJCyf1IebBWPm5JLWjg1pmiUiUp8OSL+coC5OXd9JVrnzGsQg8yhCbCvWqN8X8c3Nr4Mavt7wiPP5uAJOjFis20Ypi8R36Qwv3l34fOTydJe32CcaMIuACQLvYImWtQ7XtCA4UPJ6ZzhiyXmTZGQ8GulerLrzEe5iW8K+flpi42MtsvcanVM1KW0Sq2MsPQCSlvQr/YEjabY8H0ORx0p6z8KcaifNy6I7e/owHbGm3ba5spsJN3244iSTd8az9rgN+NiXdvW5aspHE2zeTtoJIdaPvM1TA5/+puEbBhb1JTWdcVG4tpmLnZrDCLfQ4bQZqBUKTsWiyXGz3OnC/vqo3Xe0h9RtPgoldNvI6jwjR86ngux6ZADIVcAtmlbWJzmpNt7Q5uCTecshjHcN235OfsWKi2cS7HGARiNm8tY45rVeL0YcLF7SlSBUiADJ7G1pumbMwsmF4jHBZmCmxbWo8KnTzNCBBEUhX3OQ+QeMHe0l2eQSfm2y4cN2btprDgKqV44wfcbgM4VE5LRdtHw9B9oqAGV20Wg6gIdEGeWd/5gbtQT7mncaLvCjmlZOxBSYUb7MT+6rnyAzTIh0ytbm908vq11ukL0obgvMsgTlKlAra/5rpmYbGa176tufU4Bvd5EG/cbvE7f4XlnTLeJsadTBEee4bR5vaO/eWB0aDWTjjqh0ir5DV+2+OZAgrp6UUvuuYDQmRMupuWvzM2etfp6rEXWvbUK0Gk5lUowmOeKDOiz/k7hEETWrLv5VA5D5AdoqCDo5cL92BqqyzhM3rdN4cn2h8s2M+KwAsLjXjT/zQx2NIXFnK9xUmCCg76FTpL5CPVPiyX++vUuT8pYwG7kqnzfrwzT7TxXOmdawDllpGfbtxCiCCIYMTuHmILmzyTEWPRxioTVr9qWbtb0wKVh+HUj7FDSxGptC9ituF+1jgKWqO5D3GEA8QUluu2Iy31tfaevOzveyRFHF/fEMw1tONJa9itgI7SN5Tz/NcwAb12F1shag96B382MapcXgKoWqLnXijZWtpEgugfJ0bKOZ2pCyLmZ2BqXObJoT6cekXDSFlL0ZSZdQWdBxmCMiUSFlL5IYjgFHhawW85NbLfIGQLFINjom7V78UXCxdbv3FKkBMTsSTZoEQdrxei8EbdddlIDQvMjwhL7g7a8meRs2VIQfl9zjuo8d57RDKbFjBIIcwz2L5QCXqRmEei1QonShZ7LZBfLOSF15Y4qy618NsLAD8TWyGXpV7z3EKnaMV1/8FyimBQBeb1WXWGfVCjkhNt4jOAetvqh43owh8nK1x5ZOizRNLW/4VEaAzZFFeML39M0nXWdtAExrKC9+gHfmI/IIcprZfJjYJ8/FfAxq0rt9m5ZUUvJ59bNA1/4q+w7J4p0ssAtjyI1zEgbu5vieAsyoA8nakYWGASaAhLwJueBPwFbEjRfFlzewocvHjJvoFxPs15//BlM1sjucYInUy1UwvpO9chTprM+bUOi+/NAuKTJ9Kc3lgwYsiOJRvAQFO77cHn7hRP1GZxMUSSTlytCu+Hx0RsoGm2lLTkIbJ6czbF/SC4FhomnrTei4N8hnn4eTUAYtsJUJla5YV3mfaDVC4waIRGw17w5HsfvpVBV92hZeiGAbf91SK/jM9oNWOuKIwz+3fjZuZ4tSYp9qoy1vIBOhaK72bsjZKmPBwppQ/VdBrQf4xs8HZSHz2QMO/ZU/gxFngPpmF3iOWdjNWZfu9SBw3+7q4eK6w9Udme6oEfqeec7o87J+KHYhKxlcbyFaQ6l7z9yTZ/P6OGZpZQu0n76VhsFC2V71K4dTbg3PzFUylKrvHj5UjHHjAX2lA4VUXBY7BTLhh40cPYSiPdTRlwBJd+dQvtyPmLDVQxitRdPokm9HMl8ValaOdy88q5kI1H3K6jdtrNYOTx3+pGxdBRqPglsc5ErC2W9tVZFuGN7feHBcESnwwFcqWtJptFuv8T24DGmThMNhEGLFIn0ro28KDQP1w91b+NgWnYlFoNr4WfqpSM0K55HX2e80Fm7Njv3xtcSEWYIbaqzwpYRhiT7smCrCr1kqjfJGtfKjdUcsuOxs5AAgYJZ++X7ZwBG727INnch5c6Jq+h78GuZhnLWJ3TbBEbpv+OE1i3EsEfWhekNTgWJLJzbljklGbCLxX9OptIBPsjLVc0mRaS770pzcr5sRuRHKOwYfWfZyzA9AV/Uzo4/CHKkHP1J+pxJJxiggoJTqwuShPhO275WwomlPfChS4YVZIOKRps/e6zBN95EU7gpGIhWWLRM7EmNXQjIV52XJEsN7BUJdFAMuNiUpjkbFFY+7HdFUvYeXB/+GUDukOWf6jYyNLmR+59Kjj0AgYpG6B6zkGGJoa43ALjFnPDoNakTaBSqTtK7oDht3vFX4ySNqeLDjVuVrbbgBqdA3OOWb0lv/4exXOjz4K7HZog0EU3HmG2k0PTu4vH42zs+LFgYr39LiBB5P6Q0RbwbAYyJb9EwaT/He31p5WJk52xvT6bTGYmaWwXhoVm4kxBLU5mmD0jCf6QgiNZ7NPVoHG7QRv/HdaEkv6LG37EDNvlNszGAgD6j7tky9WcXxtn6nOH9XM1MrteTUxqIJ8raWtkGUhcUnd91Es0xmBhgN1uw03V/EyyD5UvUdhYOHMKjzeqjLixTPZyZMY41SahMoSgYtAkYc63Glrh7VHTYBKTE0Kz6O7Lfc2JwFDJ4dRwhUCyWN54dOcN0X5nuFYhvyW5VU2D62XRwxn8ukWPtE16UdbpMC9ZhGExTTEk/lv/AIjcV0YKQccgDy0wshTqL3ziJ0wK7LwdopjWksjzmJmov+WMI2XToEHgsHByGNmFSEhfUM2hW7RcmPc2dH1PbunGRqZB9UCFdKGd9qzYVoNhmpKSwSya4YLZmd9tw8BXCbd/5MNMIs1DRZPPCWwVHcstffG1iUKAMm3bZc3lsq9TJZ+jq68DVQsyPrUIzkvAfLzv/0UUsmpU4p1ONmHJCB9BPgFFK7tq8rClcB4pFHkI/TDb4s5KC9N57xEJ5oXxsJzxH5PIW4th6kIGEKi1GeW6TTFiF/LYHma+91jz6e+MZKXE18NFlLnZJt8lhCHvoXfoVNmr4eud9ljiwGwpWsI26UZdAoOBNmytAdc6PUYNeuI1H+2RjE8eZuc5rCbROvjX6QigcJsHE7UZCLwYisxdsiH4g01KTuaGR7MkMcguOMfoFOPfSOpqOD49WNPqscnOAK9sUFQJa5WqoTrP0qjUDrcfLZAH+di4VsBXseY9PA4lBUyRdpqvlo9Ul4FvPB4epC9Zp6WeZOImElipL6mMqqVM0TOmjfv2sRpgqRzV/K5D178s1aoVDNbSyFu2yXM1lsrjynu6mSVcf0YOXQa0YUg0sSaMks84WDr1iUpKH5Q7vXgzoeVbcWIc/n9xsk/EN18k9wMTxsT3T4Hgww2etcZr5+bKIL7+dCSsoirSVYvdQ1uqkCvmOs/QKsMzIfv4CNaxzWiMpIaXCo90s9DSvLZi0gXjLN5f4KXHuGmec1MvcIWDBIwjFokZDKG4nneKk9Sv8OflKTDoF2BB6q8YTi+0asFAJZHs+uqqTMRJUOhJFO7TDerSmF5ULHXLtidorS8T6mTsjDRMo3yrGhRqQ1SakXRTr2Bg6x4g1SUynB2vI9gS+NGGhqstNp8tkS6lzWz+HVnZF9K4ctrXnGwCRTXdbutcfMaefXa01/QybFtevNQZUq9wdSTAnS9Wh9/X7PL+dxaqRURdEhSS3PZa7aAItmrllSvurcJ8UQ7YdyU/BNWINsTvGgzqon1PE66wRRWyPZHVhytHqqv+7IcpS0ujabn/G6jj/sj4vW6y5ZK+cWs9409O52m30sho0y4SlAdEodyfapYxOhtapFJiwudfDhqE/HmuSWizzMvBrAydl8iwfytFkL8o4mX62qWq7RikbAzcr3xo/NQmQESlHutqdFk/yb6KEkavl49DHU0pacoPUbarJYIS8hmE0M1wwfjpQpso7T/Rgi4ntqIou+mYyZqQ4PKXxcYpVYaBONG/TNQZ6F9HtuYf+wLlIqcFQDYMQhIgp4/MtvZFIRlNi+5xu8DxnPUKqv2KAF+CByQWW7jXqVnlJ3cBngxVerRU1QpZog+lXCzVZ4++h5s6RLr64zBUtNmpjFQMSsIrMTgR3DWlBTkJgKu86/rupEVDBepd1Kiq5jdmGfGeLU9C5lxeu2buJ5sekJyiRwDIbBpUjd7U0XBjgwb9hitjRI17MKSqtLSCcsSRzgVLqhEiaajHc8pMkVfHha34yh5yz3y7vM19y9u9LBcGT98PHPTp01v499/4nKkDXdPXNjC/vxdAqmzu09OSzu9aC+oC7OtN3fGVUK3pufR/m6+ZPMck1NYC09oVgkq/rG5gT6ouU8QgBzbFkK3rw7eq4EKuV+uE7RP4bTaQ9MnNnZ0i39hhcwxc6ceMk6/r2J+jwOGXUjsbxhg+2NabX3YPUhU6ITm1e0XEYjnUaCLZlbu6iFJU9en1GZM1iZH0+npJkPcRAsxJW5we/irMNBKCFJAdv9DECqNpU2xUQoLw5IUJ8zVNlF/34pw1mGcTwOvKcbryhopj4NQ3FNkYofv8NqbmiUaeKR30MP2EY4qHArfxyq4KqO1Dtm6fMNXFbEa564MqyPf2AYWtnQfuMInKzujid3Q1BfExe5d6HDb6ZCF3C5AH7MyrQK74OR4K1KZx6Xm1kXev977gqIg9joDe2zQ2yLsetnz1nnewwLp9qFKrM4CGyeQhMwvyO0TcSMo6boLkr6YHNh32rJxMXi1+WWPrpyR1JNF3ZZY+1sNbO2wmdShdKZnrluXp+5Zsjoqy4qGF+gMWgsQmL2RxR5V7GOgGl6gb7HMvenCTQc71EbTBIQ8WtHi2H6dyq9/mby7DsGwl0Kzl8CvSFbHLGsRGPVZPZ2MBObQnpxAI7PjiE/21AI+7cWi3IbJHlkbYte+rS4ulJRnW/R3Q1IZChZy3qvvS5f5VRfIzVRsWx2DPhQQlE/OFb6wKgCU6SzD5W803UjFltcVIwTBZaQ6e2qpaztJn2z+P3eJjiWwZhn951fX2vmZ2V6aWJGDm8M9JIsnUOfC25Fp2cybxhSIulwtoFmZkW/V1ubStNSl0PXJuUpMIuI4gRHrmyXUBfWT5XgzTAywDEiGxm/fTrNK1cimof/vbsNjimhq1ZiWUiHMy2wY5UQKCYAz9yPokk54NX92S9uS7yn1ZU96gbNWjxqZbNNJ8qU0RbBKksn2oxwA8sRiUJ4IcbOiaVF4NpKrjwR3puEnoFYVMe4HHu8lJf1ibpKNHcWFyhbZ8TbJKdchs6ZNcj3a0YRTk0i2XbYqXMErkMu5Bwu29sS+2ZXWbzitiJP05LIeOq17R3NyjMaoQUR+9d51tA29xsD3G6qE4ItgTf+xTov31ieg2ZwxJEWabvjWTovCvQyfc9Y0FxT6kmUycdn4bw2xbjDUhulRYBNH97zFrfwfO8egvfsYQtqG8EquiD/Txv/rI032qNKxElyGTONP+kDJCVZLsrOjVQUxU8CwX8ghwD6J+e2/6Ecgj89e/0v+4Y98ic5BNhvH/Q3Cvj5ZRHmN5J9kwko8s0q+N83meDfL7o/kgk+/yC6P/t5kf+yVII/Edz/6lSCf0H/HakE4J+qM/pfpM7w/49TCSz6b34wIkeOr2cFwo32a1JV3RcgXTc4CmkSBx/G4bv4pPyHFV3Hmr4ycz3OBV3thRhTtjZUVFysAu0VQGjZs09dpFWpAjwAwUNJiJu4FtZrjJkEAMDoNNLGtfYx2/BjQyEoh/M8O1HYeAlZs0Mzip74vX9TB/p2GYzcB2IanEjS9vU0QIayKfItZ5IFRIEmQpIySVELcxWkqZDCwL5ZrFRAslecJjszVc+8R1vWrKhGOJJ9f4gAzhmPNV3SZtO4dpRbNimS2Bp+RpCBZEkM6Cq3cwmKlCRDg0vwTaIEZop/Q+b7Z0DqYdL6CPLTk/hw7Ic5Xg+6WizY/bAbWr6/IkbVA/Z+YaIbpzCPvXoKppAxqdkEN914TyDRqL5xDNN79csM1p6S1ei86xS3oBw2dhBFkKo24yGSkpwdUVKD+Qw5RUUidVio7xfPOJH9aqW4Di6l8t3h04f4fr+RC6TIIkXGXdiAVrmrXhPMrFhkjeG268cr6yMgZYbUaEvXScOCtEUfN9kZTUiVV9/TAAFIHo/8IW4v88ez5mM4wK3r4Fa6PknZZrK1LZn3oVTV56hOPiOeA2tZq9LRa3Lm5EAiyUSYYQnc/M3wP0FJ0DfqpLjoUCAP3sDaMnlLfYqmdaiqWJ12OeT09XYp7M8zI87QPNVBIo4kCz61LzWHwXzaGJGhhFpxoU8ZxN27voS0fPmzivtxeg9g/JzHZg+RC8lx9104iVTjLeB50aM9ctsyCC30WVL7ZdEsqAwKzpU62WqUJece7t6MyimHJ2Aw6PVqKRDfc45BcXskQroFhaTqYTB+FmHHyMqR7z3P1XksNpUjBYnbASvDkW6ln3MRfnRPHEAzYKghaE+djLSyQ4ectav2rn1On4KbCDUaGeSFPHk5uc8dCFyKLcEOWTWAfUgfUBxU08VgSmD0nqwkZkAFK75BxPCNpVPbwI+J/ibTXqG+gLlGBdplZwJj0o3gJKtfm979YLY1AGRJVvGmFzOEyp3QzW431k1lw6AEKdfPYQ4TFkZxY0FHqJ1WG99Jcq5sZULbpQjBcKKEjwNtRnS+XjibTPmvjUSL2K9wTJ8sQqkOey291EXdd2sT67nvxAkU+5qGaDx+cBIFgx054zEaoiTOul78TAbwVlLVy5lT5FVwLIw6Cv4bAnQII+9x6hFr4qXWPJ7t7/kUZpxdMmII4al5OZ9o4vjbR00+NrYVQJTDLHvE9M546/sF3/N6A1YhCnxXZTB9fX6GXMwwWCjqhWChwXuFTJtv0Bk/vIJt2feXH/TZ8wqeMdGTCOlrnGCZPrmQKgA9/fDkoiTqVTzqRtK04I8NMZwyvafoaeJPe2chVVQPUix3FauDtS8mLzRnf8xBiai3dZU8YtJI6as0aYg5l5AE3q8KwD2GufpMcK/ngrPMhAZFBI8DqM684/jMUJjheEX3xVfLgzyNMIHnm6GwuhvdefHq90nbXmgkBHmUyhdV8hLWrl9EZR04iiJexGOAZo6IIuSEChnq8HxuLciiVLqgs8HDK+c6c11q/nqYLXGfyw3Y3+8Lz33ALaU680Q6Cs6MA3yw9UACFVlZVNEexSA3KPrSLMQq59PvKRCjO7QSKVVhx4xQ1CUdU0noNyp5kTJ9ldziTAI6e1csVbMHznpwR7RlbFgOmiUXWeGoIjxvAd0bZgyuiepMAS+AffQJMS1IbtXi3ZGUhoJ80aOawhwKuPv8ynNpURYIG5qKLBuRQ7xeUbt0O5+030wAzgSeTi9tPB87whUToYt4rV/wwnSlTdvM5/s6pnurjbnG9Yh5cAn1KBh4eVLYY6Wblw5tU48BSi3AS5XIHHtZojTSASBtT9jhTVFm52Myr0dG4aefitt1ZTkmwX6qMG3Fp0NpOsAC8pm7EBPg1Go7tAGvsVvD70AfKIosTyHq8DKTOAU1RXmhb+FEOdb93vkAwzhim7Ltok2LlWf06xkxpTUie8FMDtPvm1aAeqQvKqPYfGWOdIo3nCQs3/OCFQzvVUZkA7d4CZPz2k8nJ0xiWj3SpOzp3TThrjcyKdFddtQo5+lk52ScG9h6yyltRVpkOhR8C4dDKn3fw+/teCwV2s6jS9nMFpfVnf18J90E+zF7ULE7MfAWDqYK+nwBBJPrjL6SxdlXULEn+RYjUPrrHm9TaUZRFPoOLckW6D1kcNjTQchT7glaQ90HoVtQ6xnkS+eRJT44CK+iIV3DQuZRiwRWxmrtylKV7Jkq/24scvxyaXSDRciSowF+rCNQZINax8zm3jNf4XDuziUrErVETdFPG1GOiiaOmDlsQhnJlaSHQgChcBo0Za7fMJ7XUAgpuxxb8tVjNvLFn4OJBTco0VrHbQZypM2SjaOcSm9muIn0FQ2/2wDCFJK5yKrkTQTJ+NuiXP0UI7Y8kij1fm0B6T27dd6vBjCVvoNltaseTVqMQFbae1xvjukU2VhYF6+Jn2AC+An4PZtmYqlWaWWaBPcZf/GyxUsCt1p9cceBYyV3Xpi9yqtKF9/flAm+vby9Ya+GWrpzVFza3zblkVVkshaKb9MdbClZ1jUnNxp30mVWxI/d1YqDJ1/c8eG5SUj2kXf8CXXQJv3X7k6eMhGVJX236OrN63ysJb/4zOQML1FRv4YwVBV2r4C92SLTcNd1xK1KOQiq3yuOhkj2nn+iXrTSdljwZjNYbCceciwDcI1casA0IaPeuIjuGGlTGh7eQv59+K6Mqe/PTj0WdTVFk5vNB8He7yYou5/3kC1J6io/pGmVyyhxUfA9I5pA3PokXmGSsdcz0JhsiTfPjNvZnaY/xA55OthwcJBTHBK6hym6iY9Sc5HJbEgDu8hpbwdEKe7DwvqQiMAlDKCK0pgEedlsHDwIdCjHF5ZOnQm/TBwS7KNluZbom9tjft+gnxlDWEFGFJO6ZAzeh8B9YMW6BQ9eU5lkzk1pdfsFu/fUVBRWK4bB3goCUMdmUqUbcilDKZoaMj1RnygUtywK3Sxru9L8hmTl1Ucsb/FqCY2fXTtLg2zKZ0OspFhwBfjYtPDK7ZI16TOuBnKJFMm8VDJcPZfkxbZBMp5U7WkymYevhEZt0qLnqVQleapQDhQrb93DKObOOQCyonzHdIv/09c/6SsGKFTI2Ey2PNuhL3eilIItxh4S8tIX2/t/tHdlTW4iSfjXzOsGiPuR+xIgQJxv3Ie4BRLw65dSt8dju2fXEePdCe86ol9oJQJlVX2ZWV9W5gUTffTxSseFjhhXYLB9zMz08E7VE9r1ruPY5VuRPYbtTIVnJX48LO8CdwjN6bnE+yBtagRrEwDFaaIXc7cuNiP3HTsTy7v9sx27CymIO2yKKPB+vi2Dz2zcQ1GVqapMFTmh7O2R90F6tb0beeC64t9i+LpZ4g152yjPJ+WKJ6HAo+msv2zRPHG+rIMc2XEN7tn5ubxJvv0BHy6UsuSwSarsOa/0VEersq61QkMi8qdLPp7xQPn91bSYuzyqNcB9O219MrJSScn853QhnY1FwzJTJm+ZOSzQhSrPz4gQ0tdrXZeR/0CIDhBXGraAFzUAHmkXA3Msi1L8jIbP4iajZXh9VmsdNrnLWSCXiblgrFyY6E1p85q0LjFc1Ah1+CW5mMQbETDbKDD0gMUNTxleZSeX/AyxPC9S8uEzXcERVwaGl+VwR1q0FiqXHuTM8rAWqzPv5m8+wJryyRjdm/oEJDy5zW50blTFyBFqPDMrFagwse+SwgKHydV2bcdKBs2Ym5By7hHU8Rg1lzW33lIph5/ZbAWOF1zavNtUGZh7rwE+Kb9WeYo/LOPA6TJySyGtdd0zNfkJuFfBOzUbDYrAeEVM6pLUdbfV6AYcZAr5Qnz3TH7fnNuwa3FUTryKC2M6g0pbYId+bBquTbO+rf359GikaU+4KjnXIACJA66wBfVeexCj0DsnbFVzbs/tHR3cnOcesTMOKWbqR0yzHqZTo8fZn3asWoPehU+i3IoIMdOiqdG7H+GI3iYKc4qmcyghOjLBxAWpH48cED0KZviDL82FtjdiEJfugdjshuzEtIa3J6+A0kMsKch7t4ijc3gfO0/bcb+VYA6WRrsWTFUeb0jqpnNrwETkkNzt2JiPbblw7uPr+XhqKVNtVVi5uM6gCzlq9e0rmKeV5uzdJsyv5M1aNR9BrkE06/2yBYw8uiRbGzGEN/B0s2qsnm1NxNY5CavEuisV30C5tJN3XbIc0wAn+t05HOxy9tT7APScHZ6QMfnqzUOJyiu2ejEmKQEkeqDXIl2rfgoyyXxvPeLCQLjFFsTqvq8vBW+Z49pgBWlDV9HQpSkoOH7TJkATvQo2g1gIYaF1UkoRKEn2aZetBCM4BdxWtd6EH56nH9Cy7Jnmq1CP7b04EccIp0/xOrXPyXMboOjJhgw6YR250Pf5gFFACOtjEd9a0TBEd8GSxfEro565yqMupl8rT8LfGBtPAzbA53OekHDarZs3esqlVu+8Rdcr7wWnfTXRVRFI9qpfrEaETq5EIqIQs0mZzDn89mOO2dXQkpAbD3d0SBfEKP79onWIhc4XfKe9yzGdTleIulw1CL4H6p1pLQ3iNA3G8/0Gs5FKsHLXoHSSUutqobhWS1tWCcQsd8kVOpxNY78ThvU0yH1/bI0b1ehjOlyd3TQ6rdd5Vxb5IL8JE1hVmG8Q3PiKIS1jOlTD49q5eEbbMwCI6Hdy6FxvmDIu043PaaFh6ZSUas9h3uI+H38dDhg2jMalPmwmzT8tFIStBnz1exUerw2UmYdEdEaNtriz9yrSvdkj0nbHkP7AUcS6xjZwsAiMQag6OBlXB9YBdSxFSHlRd6TQngN+zJO7WRyzfLjwx/KXMnxZj1C/muNAdLi2iFWjtSngEutuA4UYCFazhFEuJ5jigyobJ1eeW12s836DCbDLWuIpTdrOGXfIVi40RYxEdLGrWSzr5nG50H3lkFPDh8rrBKp2btAlJikyAKW6urNHYmWsPMVwJAj9CN1jYEvgFZRcdZCtBIkwNci7hIToRByus1aluWhm+gbs5m5Jm9pkiBunDUSndFX1z52g9HQ3FyY48Lz1tZjHu6SGrPxQ/2mPew/HMyxHUwtjBEGcuF7iS/kMZwQEdt+g/YGo2LDkWHqKs3G4Ri1rKYOfQ1jSwleGpO+9HV0tEtqLlGcvwhAeq2aXofVMBRxuwVTnPxm+YMKwSeA0ZXqaEdiH4oW7bVytEqHRxCsmvFhozbKfZmCIC7Ua2mMNZ6Y7pWizm4xsFZ7Ai7EZGUGHrk16OnELErGP0ShoRc7YQ/aIFikFLFF1ljhzUY/AE8w+xqAWoqNvtKqyVZNLAf6WFiAFSMaBswCHeJarT3oYF3DdFXW41Pdo2c+9Sg0ZLSjO0wd7r7FVQNEIP2RW3vftlQ3yoO3Qm6HDJ616DtYlzhqnOGv1jUjxkbnFkHaYxGyOU7a4pwb3GM8zYx9a9valZ0TuUSqgOobK6/yxFD3OOuZdrAxVYOr0mTdHiLyuL7lajcuIwmw4vmrzRpqZQVRGIdtE0uxHHF5stHwBWMZbSOJNEbzk68pEy0ofy/fh1wPIY+wJ45YM+uH7zEd0v+6uaZDemtBypds9NkN9uopQbdi8gKHlYbWL+UFCaihtbROXhQHMXSCBKiEF6tIsbTAmAnyJGjrFdcuENVFXk/bg78N81ZVbA2MBKT86sEOrUAtpjDJdsDcZhcU2vzk0y2GprPvWatIyAw+6NmnDk6Z/8K70IIg9uZJswZr5eWLGTQMBOJMWTyvZLFAFJY+ff5WkRP+EEfpTkhL59tDsx6wO/J8iKYkPSMo3ShJ99UFAQUOE/11u8vtH7BM3CX9w0Bkn/ovsJPHNcGRpkX364f00l33Rd1HDf/7vV4r7LHPuAZv2GsE6m+ftXZ3RMvdfju/bM8GDviA6P+gVcO+XKcn+PY84R1ORzf9C7k/GYcqaaK4eX77HD1fyt3P+51Iy/J1KPv2dSqb+DiUfqpw2H9x/LOT3y+CPn3Hr+5e/XW3vV3/DCvirg/N+66WvuvkPVQq+SCwgvsapt7d6v+fzANPTFG1/EBuAwP17n4J/3bLqa+mvW8x8KQ82qV/P/zzXftfHX+gL8lFxhF8tsX61xPrpW2Kd/vHbpwZYX7S8+rDTFf0biYK2R7TwG8X93jDry55aP3Pvqw/ys74/Dwv/jjQs/AOH/Ue0vvoYtD5Kw/oFWr9A66cHLeQfL7A6MOeVG/sN7Byf/j8hD/I19HzUMuwHQQ/YBfu9Pembe/W5ySvC/xM= \ No newline at end of file diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/read-through.png" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/read-through.png" new file mode 100644 index 00000000000..f8f457c7490 Binary files /dev/null and "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/read-through.png" differ diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/write-through.drawio" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/write-through.drawio" new file mode 100644 index 00000000000..7626c8d1f50 --- /dev/null +++ "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/write-through.drawio" @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git "a/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/write-through.png" "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/write-through.png" new file mode 100644 index 00000000000..ecdbd6d2c2e Binary files /dev/null and "b/docs/database/redis/images/\347\274\223\345\255\230\350\257\273\345\206\231\347\255\226\347\225\245/write-through.png" differ diff --git "a/docs/java/tips/locate-performance-problems/\346\211\213\346\212\212\346\211\213\346\225\231\344\275\240\345\256\232\344\275\215\345\270\270\350\247\201Java\346\200\247\350\203\275\351\227\256\351\242\230.md" "b/docs/java/tips/locate-performance-problems/\346\211\213\346\212\212\346\211\213\346\225\231\344\275\240\345\256\232\344\275\215\345\270\270\350\247\201Java\346\200\247\350\203\275\351\227\256\351\242\230.md" index 247a0b7d17d..7856d542333 100644 --- "a/docs/java/tips/locate-performance-problems/\346\211\213\346\212\212\346\211\213\346\225\231\344\275\240\345\256\232\344\275\215\345\270\270\350\247\201Java\346\200\247\350\203\275\351\227\256\351\242\230.md" +++ "b/docs/java/tips/locate-performance-problems/\346\211\213\346\212\212\346\211\213\346\225\231\344\275\240\345\256\232\344\275\215\345\270\270\350\247\201Java\346\200\247\350\203\275\351\227\256\351\242\230.md" @@ -326,7 +326,7 @@ procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu----- **sy=86**,说明内核态占用了 86%的 CPU,这里明显就是做上下文切换工作了。 -我们通过`top`命令以及`top -Hp pid`查看进程和线程 CPU 情况,发现 Java 线程 CPU 占满了,但是线程 CPU 使用情况很平均,没有某一个线程把 CPU 吃满的情况。 +我们通过`top`命令以及`top -Hp pid`查看进程和线程 CPU 情况,发现 Java 进程 CPU 占满了,但是线程 CPU 使用情况很平均,没有某一个线程把 CPU 吃满的情况。 ``` PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND diff --git a/docs/tools/docker/docker.md b/docs/tools/docker/docker.md index 604b5ce8326..26e0c636274 100644 --- a/docs/tools/docker/docker.md +++ b/docs/tools/docker/docker.md @@ -38,7 +38,7 @@ **容器:** -![容器](https://my-blog-to-use.oss-cn-beijing.aliyuncs.com/2019-7/容器图解.png) +![](https://guide-blog-images.oss-cn-shenzhen.aliyuncs.com/javaguide/image-20211110104003678.png) 通过上面这三张抽象图,我们可以大概通过类比概括出: **容器虚拟化的是操作系统而不是硬件,容器之间是共享同一套操作系统资源的。虚拟机技术是虚拟出一套硬件后,在其上运行一个完整操作系统。因此容器的隔离级别会稍低一些。** @@ -48,8 +48,6 @@ ## 二 再来谈谈 Docker 的一些概念 -![Docker的一些概念](https://user-gold-cdn.xitu.io/2018/6/18/16410734eb1ed373?w=1566&h=696&f=png&s=294564) - ### 2.1 什么是 Docker? 说实话关于 Docker 是什么并太好说,下面我通过四点向你说明 Docker 到底是个什么东西。 @@ -59,8 +57,6 @@ - **Docker 能够自动执行重复性任务,例如搭建和配置开发环境,从而解放了开发人员以便他们专注在真正重要的事情上:构建杰出的软件。** - **用户可以方便地创建和使用容器,把自己的应用放入容器。容器还可以进行版本管理、复制、分享、修改,就像管理普通的代码一样。** -![什么是Docker](https://user-gold-cdn.xitu.io/2018/6/18/16411c3946dda762?w=971&h=629&f=jpeg&s=56655) - ### 2.2 Docker 思想 - **集装箱** @@ -94,11 +90,11 @@ 传统虚拟机技术是虚拟出一套硬件后,在其上运行一个完整操作系统,在该系统上再运行所需应用进程;而容器内的应用进程直接运行于宿主的内核,容器内没有自己的内核,而且也没有进行硬件虚拟。因此容器要比传统虚拟机更为轻便。 -![容器 VS 虚拟机](https://user-gold-cdn.xitu.io/2018/6/17/1640cb4abec9e902?w=1086&h=406&f=png&s=70264) +![](https://guide-blog-images.oss-cn-shenzhen.aliyuncs.com/javaguide/2e2b95eebf60b6d03f6c1476f4d7c697.png) ### 3.2 容器与虚拟机总结 -![容器与虚拟机 (VM) 总结](https://user-gold-cdn.xitu.io/2018/6/18/16410aa3b89ae481?w=801&h=206&f=png&s=37241) +![](https://guide-blog-images.oss-cn-shenzhen.aliyuncs.com/javaguide/4ef8691d67eb1eb53217099d0a691eb5.png) - **容器是一个应用层抽象,用于将代码和依赖资源打包在一起。** **多个容器可以在同一台机器上运行,共享操作系统内核,但各自作为独立的进程在用户空间中运行** 。与虚拟机相比, **容器占用的空间较少**(容器镜像大小通常只有几十兆),**瞬间就能完成启动** 。 @@ -110,7 +106,7 @@ 就我而言,对于两者无所谓谁会取代谁,而是两者可以和谐共存。 -![两者是可以共存的](https://user-gold-cdn.xitu.io/2018/6/17/1640cca26fc38f9e) +![](https://guide-blog-images.oss-cn-shenzhen.aliyuncs.com/javaguide/056c87751b9dd7b56f4264240fe96d00.png) --- @@ -244,7 +240,7 @@ docker rmi f6509bac4980 # 或者 docker rmi mysql 如果你搜索 Docker 官网,会发现如下的字样:**“Docker - Build, Ship, and Run Any App, Anywhere”**。那么 Build, Ship, and Run 到底是在干什么呢? -![build ship run](https://user-gold-cdn.xitu.io/2018/6/18/16411c521e79bd82?w=486&h=255&f=png&s=185903) +![](https://img-blog.csdnimg.cn/2419919953764fc690c929d3844f7011.png) - **Build(构建镜像)** : 镜像就像是集装箱包括文件以及运行环境等等资源。 - **Ship(运输镜像)** :主机和仓库间运输,这里的仓库就像是超级码头一样。 diff --git "a/docs/tools/docker/docker\344\273\216\345\205\245\351\227\250\345\210\260\345\256\236\346\210\230.md" "b/docs/tools/docker/docker\344\273\216\345\205\245\351\227\250\345\210\260\345\256\236\346\210\230.md" index 0dd5565094c..5348b4a510f 100644 --- "a/docs/tools/docker/docker\344\273\216\345\205\245\351\227\250\345\210\260\345\256\236\346\210\230.md" +++ "b/docs/tools/docker/docker\344\273\216\345\205\245\351\227\250\345\210\260\345\256\236\346\210\230.md" @@ -13,7 +13,7 @@ 官网地址:https://www.docker.com/ 。 -![什么是Docker](https://user-gold-cdn.xitu.io/2018/6/18/16411c3946dda762?w=971&h=629&f=jpeg&s=56655) +![认识容器](https://my-blog-to-use.oss-cn-beijing.aliyuncs.com/2019-7/container.png) ### 为什么要用 Docker? diff --git a/docs/tools/git/git.md b/docs/tools/git/git-intro.md similarity index 100% rename from docs/tools/git/git.md rename to docs/tools/git/git-intro.md diff --git a/docs/tools/readme.md b/docs/tools/readme.md index 69c3dfe3368..258557b4412 100644 --- a/docs/tools/readme.md +++ b/docs/tools/readme.md @@ -4,4 +4,16 @@ icon: tool # 常用开发工具总结 +## 数据库 + +- [CHINER: 干掉 PowerDesigner,这个国产数据库建模工具很强!](./database/CHINER.md) +- [DBeaver:开源数据库管理工具。](./database/DBeaver.md) +- [screw:一键生成数据库文档,堪称数据库界的Swagger](./database/screw.md) + +## Git + +- [Git 入门](./git/git-intro.md) +- [Github 小技巧](./git/git-intro.md) + +## Docker