From 91fbe9d388e70e7529aca06ffc323738e72e90d8 Mon Sep 17 00:00:00 2001 From: "zeyu.wu" Date: Tue, 19 Mar 2024 08:58:42 +0800 Subject: [PATCH] update doc --- wuzeyu/assets/image-20240319084431818.png | Bin 0 -> 85235 bytes wuzeyu/assets/image-20240319084457750.png | Bin 0 -> 54673 bytes wuzeyu/assets/image-20240319084530818.png | Bin 0 -> 62620 bytes wuzeyu/assets/image-20240319084555277.png | Bin 0 -> 58963 bytes wuzeyu/assets/image-20240319084620873.png | Bin 0 -> 56871 bytes wuzeyu/assets/image-20240319084806284.png | Bin 0 -> 41214 bytes wuzeyu/assets/image-20240319085234938.png | Bin 0 -> 102250 bytes wuzeyu/assets/image-20240319085318758.png | Bin 0 -> 216563 bytes wuzeyu/assets/image-20240319085454629.png | Bin 0 -> 68719 bytes wuzeyu/assets/image-20240319085520642.png | Bin 0 -> 40151 bytes wuzeyu/zstorage_pool_introduction.md | 81 +++++++++++----------- 11 files changed, 40 insertions(+), 41 deletions(-) create mode 100644 wuzeyu/assets/image-20240319084431818.png create mode 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+image-20240319084457750 @@ -42,7 +42,7 @@ zs pool add pool01 8 3rep 1024GB my_rule1 回到重构之前的状态,假如现在OSD5发生故障,原始raft模式是这样处理故障变更的:生成第四个副本rep_a4用于替换故障,rep_a4复制完成之后从成员中删除故障副本rep_a3。你会发现实际上和上面的加盘重构的变更方式是一样的,不同的是PG在故障处理过程中处于2副本的降级状态。 -image-20240318100021591 +image-20240319084530818 @@ -50,51 +50,51 @@ zs pool add pool01 8 3rep 1024GB my_rule1 如果rep_a4正在同步数据的过程中rep_a2再发生故障,显然4个成员里面有2个故障,无法基于majority选出leader,只能通过人工干预的方式才能恢复正常,并且有可能发生少量数据丢失的情况。 -image-20240318100109581 +image-20240319084555277 但是实际客户环境中两个OSD接连发生故障的概率是存在的,e.g.:等待或正在处理第一个OSD故障的数小时时间内发生第二个OSD故障 。 -如何保证在这种情况下集群依然可以继续提供服务?Zstorage废除了原始raft模式,设计了普通模式存储池,它在连续连个副本发生故障的情况下依然可以继续提供服务。 +如何保证在这种情况下集群依然可以继续提供服务?Zstorage废除了原始raft模式,设计了标准模式存储池,它在连续连个副本发生故障的情况下依然可以继续提供服务。 -## normal存储池 +## 标准存储池 -在原始raft模式存储池中,对故障的处理是将受到影响的PG副本进行3 -> 4 -> 3这样的变更,而在普通模式下我们直接删除故障的副本。 +在原始raft模式存储池中,对故障的处理是将受到影响的PG副本进行3 -> 4 -> 3这样的变更,而在标准模式下我们直接删除故障的副本。 raft在收到2副本视图之后执行成员配置变更,变更完成之后就可以运行在2副本的状态下了,这个时候即使第二个OSD发生故障,通过同样删除故障副本的方式可以让raft运行在单副本配置下。 -### normal存储池的故障处理 +### 标准存储池的故障处理 一个连续两个OSD故障的副本变更方式: -image-20240318100133140 +image-20240319084620873 -normla模式下所有支持的变更方式: +标准模式下所有支持的变更方式: image-20240318100158304 -normal模式下故障与故障恢复的副本变更流程: +标准模式下故障与故障恢复的副本变更流程: -image-20240318101810086 +image-20240319084806284 -### normal存储池的问题以及改善 +### 标准存储池的问题以及改善 为了保证在删除副本的过程中不丢数据 e.g.:故障两个OSD副本数量3->2->1,日志的commit必须等到3个副本都写成功之后才能执行,所以在保证数据可靠性的同时带来了一定写时延的上升,同时因为raft需要等待管控面下发删除之后的视图来进行成员变更,所以在这期间无法选出leader,会有短暂hung io现象。相比之下原始raft写时延低,因为3个副本中只要其中任何2副本写成功,就可以commit,然后给客户端回复写操作成功。 两种模式简单的对比如下: -| | 原始Raft | 普通模式 | +| | 原始Raft | 标准模式 | | ------ | ----------------------------------------------------------- | ------------------------------- | | 写时延 | 优 | 差 | | 可靠性 | 中 | **高** | @@ -102,9 +102,9 @@ normal模式下故障与故障恢复的副本变更流程: -普通模式解决了两个副本连续故障情况下带来的可靠性问题,在可用性方面有点不尽人意。 +标准模式解决了两个副本连续故障情况下带来的可靠性问题,在可用性方面有点不尽人意。 -为了解决这个问题,Zstorage设计了另外一种模式称之为性能模式(perf)。 +为了解决这个问题,Zstorage设计了另外一种模式称之为raft模式。 @@ -112,11 +112,11 @@ normal模式下故障与故障恢复的副本变更流程: -## perf存储池 +## raft模式存储池 -Perf模式相比普通模式具有更高可用性和更低IO时延,又比原始raft具有更好的可靠性,相对于普通模式变动在以下两点: +raft模式相比标准模式具有更高可用性和更低IO时延,又比原始raft具有更好的可靠性,相对于标准模式变动在以下两点: - 必须利用majority提交,这样才能降低写时延,同时也能在故障时候利用majority提交来解决hung io问题 @@ -124,22 +124,21 @@ Perf模式相比普通模式具有更高可用性和更低IO时延,又比原 -### perf存储池的故障处理 +### raft模式存储池的故障处理 +image-20240319085234938 -image-20240318100435489 +由于增加了一个logger角色以及logger替换故障副本的逻辑,相比标准模式的故障处理,raft模式的变更状态会更多: -由于增加了一个logger角色以及logger替换故障副本的逻辑,相比普通模式的故障处理,perf模式的变更状态会更多: +image-20240319085318758 -image-20240318100355834 +### raft模式存储池对比 -### perf模式存储池对比 - -| | 原始Raft | 普通模式 | 增强模式(perf) | +| | 原始Raft | 标准模式 | raft模式 | | ------ | -------- | -------- | ---------------- | | 写时延 | 优 | 差 | **优** | | 可靠性 | 中 | 高 | 中 | @@ -151,7 +150,7 @@ Perf模式相比普通模式具有更高可用性和更低IO时延,又比原 -## perf2存储池 +## raft两副本存储池 - 两副本模式基于原始raft,即大多数选举来进行改进,可用性方面没有影响。 @@ -160,17 +159,17 @@ Perf模式相比普通模式具有更高可用性和更低IO时延,又比原 -### perf2存储池的故障处理 +### raft两副本存储池的故障处理 一个单副本故障的变更: -image-20240318100528202 +image-20240319085454629 -perf2模式下故障与故障恢复的副本变更流程: +raft两副本模式下故障与故障恢复的副本变更流程: -image-20240318103119125 +image-20240319085520642 @@ -178,15 +177,15 @@ perf2模式下故障与故障恢复的副本变更流程: -### perf2模式存储池对比 +### raft两副本模式存储池对比 以下汇总了这几个存储池模式的对比: -| | 原始Raft | 普通模式 | 性能模式(perf) | 性能模式(perf2) | -| -------- | -------- | -------- | ---------------- | ----------------- | -| 写时延 | 低 | 高 | 低 | 低 | -| 可靠性 | 中 | 高 | 中 | 低 | -| 可用性 | 低 | 低 | 高 | 高 | -| 空间占用 | 中 | 中 | 中 | **低**,2倍冗余 | \ No newline at end of file +| | 原始Raft | 标准模式 | raft模式 | raft两副本模式 | +| -------- | -------- | -------- | -------- | --------------- | +| 写时延 | 低 | 高 | 低 | 低 | +| 可靠性 | 中 | 高 | 中 | 低 | +| 可用性 | 低 | 低 | 高 | 高 | +| 空间占用 | 中 | 中 | 中 | **低**,2倍冗余 | \ No newline at end of file -- Gitee