From 1cc60626a34241e3f6433120b1fade6eed794896 Mon Sep 17 00:00:00 2001 From: gongweibao Date: Mon, 8 May 2017 10:09:06 +0800 Subject: [PATCH] modify by comments --- doc/design/file_mananger/README.md | 84 +++++++++--------- .../file_mananger/src/filemanager.graffle | Bin 3819 -> 3442 bytes doc/design/file_mananger/src/filemanager.png | Bin 57379 -> 54827 bytes 3 files changed, 44 insertions(+), 40 deletions(-) diff --git a/doc/design/file_mananger/README.md b/doc/design/file_mananger/README.md index ea267e64d4c..00ca6db1725 100644 --- a/doc/design/file_mananger/README.md +++ b/doc/design/file_mananger/README.md @@ -1,11 +1,20 @@ -# Desgin doc: FileManager -## Objetive -在本文档中,我们设计说明了用户上传、下载、管理自己在PaddlePaddle Cloud上的文件所涉及到的模块和流程 +# FileManager设计文档 +## 名词解释 +- PFS:是Paddle cloud File System的简称。与之相对的是Local File System。 +- FileServer:接收用户管理文件命令的服务端 +- FileManger:用户管理自己自己在PFS文件上的系统称为FileManager +- CephFS:是个POSIX 兼容的文件系统,它使用 Ceph 存储集群来存储数据. +- Chunk:逻辑划分文件的一个单位,用于文件分块上传或者下载。 +- Ingress:Layer 7 Load Balancer + +## 目标 +在本文档中,我们设计说明了用户上传、下载、管理自己在PaddlePaddle Cloud上的文件所涉及到的模块和流程。架构图如下所示: -## Module -### PFS Client + + +## PFS Client - 提供用户管理Cloud文件的命令 - 用Golang写,可以跨平台执行 @@ -14,66 +23,61 @@ ### Ingress - 在kubernets中运行 -- 做Http转发、负载均衡 +- 做HTTP转发、负载均衡 - 注意配置session保持,以便来自一个用户的访问可以定向到一个固定的机器上,减少冲突写的机会。 -### FileServer +## FileServer 功能说明: -- gorpc写的HttpServer +- goRPC写的HTTPServer - 响应外部的REST API的请求 -- 在kubernets中运行 +- 在kubernetes中运行 - [RESTAPI](./RESTAPI.md)接口 -## 解释 -### 为什么有chunk的抽象: -用户文件可能是比较大的,上传到Cloud或者下载到本地的时间可能比较长,而且在传输的过程中也可能出现网络不稳定的情况。为了应对以上的问题,我们提出了chunk的概念,一个chunk由所在的文件偏移、数据、数据长度及校验值组成。文件数据内容的上传和下载都是都过chunk的操作来实现的。由于chunk比较小(默认256K),完成一个传输动作的transaction的时间也比较短,不容易出错。 +## 文件传输 +### 文件权限 +- 每一个用户在Cloud注册后可以申请分配用户空间,系统默认会在CephFS上分配一个固定大小(比如初始10G)的、有所有权限的volume,对用户而言就是自己的`home`目录。用户彼此之间的数据是隔离的、无法访问的。用户的空间大小第一期也不允许扩大。 +- 公共数据集合放到一个单独的volume下,对所有外部用户只读。由于其被读取的可能比较频繁,需要提高其备份数,防止成为热点文件。 + +### 用户认证 +身份的认证来自于用户或者程序是否有crt标识身份,以及是否有可信的CA确认这个身份证是否有效。我们这里描述的crt涉及到两个部分,一个是Client端程序访问FileServer的crt,不妨称之为Client crt;另外一个是FileServer访问CephFS的crt,不妨称之为CephFS crt。 + +- Client和FileServer相互认证的办法 +`cloud.paddlepaddle.org`需要有自己的CA,FileServer和注册用户也要为其生成各自的私钥(key)、crt。这样用户把CA、自己的key和crt下载到本地后,Client程序可以用之和FileServer可以做相互的认证。 + +- CephFS验证FileServer的身份的方法 + CephFS crt只有一个,也就是admin crt,拥有所有volume的读写权限。 FileServer从Client crt提取Client的身份(username),限制其可以操作的volume。 + +### 分块文件上传 +用户文件可能是比较大的,上传到Cloud或者下载到本地的时间可能比较长,而且在传输的过程中也可能出现网络不稳定的情况。为了应对以上的问题,我们提出了chunk的概念,一个chunk由所在的文件偏移、数据、数据长度及校验值组成。文件数据内容的上传和下载都是都过chunk的操作来实现的。由于chunk比较小(默认256K),完成一个传输动作完成的时间也比较短,不容易出错。 一个典型的chunk如下所示: ``` type Chunk struct { - filePos int64 - checkSum uint32 + fileOffset int64 + checksum uint32 len uint32 data []byte } ``` -### 关于文件权限 -- 每一个用户在Cloud注册后可以申请分配用户空间,系统默认会在CephFS上分配一个固定大小(比如初始10G)的、有所有权限的volume,对用户而言就是自己的`home`目录。用户彼此之间的数据是隔离的、无法访问的。用户的空间大小第一期也不允许扩大。 -- 公共数据集合放到一个单独的volume下,对所有外部用户只读。由于其被读取的可能比较频繁,需要提高其备份数,防止成为热点文件。 - -### 关于认证 -> 通信各方都需要有各自的身份证。一个公司可以自签名一个CA身份证,并 且用它来给每个雇员以及每个程序签署身份证。这样,只要每台电脑上都预先安 装好公司自己的CA身份证,就可以用这个身份证验证每个雇员和程序的身份了。 这是目前很多公司的常用做法 - -身份的认证来自于用户或者程序是否有crt标识身份,以及是否有可信的CA确认这个身份证是否有效。我们这里描述的crt涉及到两个部分,一个是Client端程序访问FileServer的crt,不妨称之为Client crt;另外一个是FileServer访问CephFS的crt,不妨称之为CephFS crt。 - -- Client和FileServer相互认证的办法 -`cloud.paddlepaddle.org`需要有自己的CA,FileServer和注册用户也要为其生成各自的私钥(key)、crt。这样用户把CA、自己的key和crt下载到本地后,Client程序可以用之和FileServer可以做相互的认证 - -- CephFS验证FileServer的身份的两种方法 - - 第一种:每一个用户都有自己单独的访问CephFS crt。 - 用户访问其空间时,由FileServer读取它然后才可以在CephFS上完成操作。 - - 第二种:CephFS crt只有一个,也就是admin crt,拥有所有volume的读写权限。 - FileServer从Client crt提取Client的身份(username),限制其可以操作的volume。 我们选择这种。 - -### 关于文件传输 -文件传输的的关键在于需要Client端对比src和dst的文件chunks的checkSum是否保持一致,不一致的由Client Get或者Post chunk完成。藉由上述的方法完成断点的数据传输。 upload文件时,由于一个文件可以是多个FileServer可写的,存在冲突的机会,需要Client端在Post最后一个chunk的时候检查dest文件的MD5值是否和本地文件一致。 +### 文件传输的优化 +文件传输的的关键在于需要Client端对比source和destination的文件chunks的checkSum是否保持一致,不一致的由Client Get或者Post chunk完成。藉由上述的方法完成断点的数据传输。 upload文件时,由于一个文件可以是多个FileServer可写的,存在冲突的机会,需要Client端在Post最后一个chunk的时候检查dest文件的MD5值是否和本地文件一致。 - 优化的方法: - dst文件不存在时,可以没有Get的过程,只有Post。 - - 文件的chunks信息可以做cache,不用每次启动传输都去读和计算。这个由于比较复杂,第一期暂时不做。 - 小的技巧: - 可以用[Fallocate](https://golang.org/pkg/syscall/#Fallocate)生成sparse文件,让dst和src文件保持相同的大小。不同位置的chunk可以同时写入。 -### 关于框架 -准备拿出一点时间测试一下用[swagger-api](https://github.com/swagger-api/swagger-codegen)生成Client和FileServer的框架部分。如果框架生成好用,我们的精力就可以更多的放到逻辑本身上。 + +## 框架生成 +用[swagger-api](https://github.com/swagger-api/swagger-codegen)生成Client和FileServer的框架部分,以便我们可以把更多的精力放到逻辑本身上。 ## 参考文档 -- [Do you see tls?](https://github.com/k8sp/tls/blob/master/README.md) -- [s3](http://docs.aws.amazon.com/cli/latest/reference/s3/) -- linux man document +- [TLS complete guide](https://github.com/k8sp/tls/blob/master/README.md) +- [aws.s3](http://docs.aws.amazon.com/cli/latest/reference/s3/) +- [linux man document](https://linux.die.net/man/) diff --git 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