From 0fbb8dae749caeaa785136f1285d417f58b9cb06 Mon Sep 17 00:00:00 2001 From: ilixiaocui Date: Fri, 3 Mar 2023 17:13:13 +0800 Subject: [PATCH] doc: add space manage of curvefs with volume backend Signed-off-by: ilixiaocui --- ...72\351\227\264\347\256\241\347\220\206.md" | 144 ++++++++++++++++++ docs/images/deallocate-space-process.png | Bin 0 -> 89517 bytes docs/images/volume-space.png | Bin 0 -> 33334 bytes 3 files changed, 144 insertions(+) create mode 100644 "docs/cn/Curve\346\226\207\344\273\266\347\263\273\347\273\237Volume\345\220\216\347\253\257\347\251\272\351\227\264\347\256\241\347\220\206.md" create mode 100644 docs/images/deallocate-space-process.png create mode 100644 docs/images/volume-space.png diff --git "a/docs/cn/Curve\346\226\207\344\273\266\347\263\273\347\273\237Volume\345\220\216\347\253\257\347\251\272\351\227\264\347\256\241\347\220\206.md" "b/docs/cn/Curve\346\226\207\344\273\266\347\263\273\347\273\237Volume\345\220\216\347\253\257\347\251\272\351\227\264\347\256\241\347\220\206.md" new file mode 100644 index 0000000000..6c474e5640 --- /dev/null +++ "b/docs/cn/Curve\346\226\207\344\273\266\347\263\273\347\273\237Volume\345\220\216\347\253\257\347\251\272\351\227\264\347\256\241\347\220\206.md" @@ -0,0 +1,144 @@ + +# Curve文件系统Volume后端空间管理 + +## 背景 + +Curve文件系统使用Curve块存储作为后端,空间管理相关的文档有:[curvefs_volume_space_design](https://github.com/opencurve/curve/blob/master/docs/cn/curvefs_volume_space_design.md) 和 [curvefs_volume_space_deallocate](https://github.com/opencurve/curve/blob/master/docs/cn/curvefs_volume_space_deallocate.md)。 + +当前空间回收功能还有缺失,尤其是异常情况下的处理没有给出比较好的方案。本文主要梳理下空间回收整体内容、对异常部分的方案进行调研和设计,并对需要进行的开发任务进行拆分。 + +首先总体介绍一下当前对接Curve块存储(Volume)作为后端的管理策略。 + +![](../images/volume-space.png) + +1. 文件系统上的一个文件和```Volume```空间上的映射关系。 + + - 一个文件```File```占用的地址空间可以用多个不等长的```VolumeExtent``` 表示 + - ```VolumeExtent``` 包含了 ```{fsOffset, volumeOffset, length, isused}``` 信息 + - 根据这些信息可以知道文件数据片段在 ```Volume``` 上的位置信息 + +2. ```Volume```的空间管理。 + + - ```Volume```的空间有多个等长的 ```BlockGoup```组成 + - 每个 ```BlockGroup``` 的头部空间使用bitmap记录当前 ```BlockGroup``` 指定粒度的分配情况 + - ```BlockGroup``` 包含的信息 ```{offset, size, used, available, blocksize, bitmap, owner}``` + - 根据这些信息,可以知道 ```Volume``` 的空间当前被使用的情况。 + - **空间分配:** 文件写入数据的时候需要分配空间 + - **空间回收:** + + - 触发条件1文件删除。在Curve文件系统中,```inode``` 的 ```nlink``` 为0,可以被后台异步清理 + - 触发条件2文件系统删除。在Curve文件系统中,文件系统和 ```volume```的关系是一对一的,文件系统删除需要删除对应的 ```Volume``` + - 触发条件3Truncate。需要清理新的 ```length``` 以外的空间,当前先不解决 + +## 空间回收 + +### 方案介绍 + +Curve文件系统中: +- **文件的写入需要分配空间**,因此 ```Client``` 需要对 ```BlockGroup``` 进行操作以分配空间。 +- **文件的删除需要清理空间**,元数据是在 ```Metaserver``` 管理的,因此 ```Metaserver``` 需要对 ```BlockGroup``` 进行操作以回收空间。 + +当前空间回收流程如下: + +1. ```Client``` 收到用户删除文件的请求 (空间回收的触发条件1)并处理 + + - 如果配置了回收站,则把文件放到回收站中(相当于rename的操作) + - 如果没有配置回收站,则直接调用删除Inode的请求 + +2. ```Metaserver``` 处理用户删除文件的请求 + + - 如果是配置了回收站,文件进入回收站(延迟删除),等待超时时间后递交给空间回收模块 + - 如果没有配置回收站,直接递交给空间回收模块 + +3. ```Metaserver``` 进行空间回收。遍历 inode 中的 ```VolumeExtent``` + + - 获取 ```VolumeExtent``` 对应的 ```Volume``` 空间的 ```BlockGroup``` + - 清理对应 ```BlockGroup``` 上的 bitmap信息 + - 更新 Inode + +以下为空间回收的流程图,其中红色表示已经开发完成;绿色表示逻辑完成单元测试未完成;蓝色表示单元测试和逻辑都未完成。 + +![](../images/deallocate-space-process.png) + +### 细节说明 + +#### 1. metaserver重启这种异常处理 + +**问题**: 在上述流程中,对于 ```VolumeExtent``` 的删除, 先清理对应 ```BlockGroup``` 的 ```bitmap```, 再更新 Inode. 这两个步骤分别是在 CurveBS 和 Metaserver上操作的,如果 ```bitmap``` 清理完成之后 Metaserver 异常,Metaserver重启后,如何处理中断更新的 Inode? + +**解决方法**:清理之前标记 Inode 为 ```deleting``` 状态,清理完成标记为 ```done```. 重启后 ```deleting``` 状态的 Inode 空间不再被处理 + +优点:不考虑两个操作之间的事务类型的方案,这种方式很简单;认为 Metaserver 重启不是一个常态操作 + +缺点: 被中断的 Inode 剩余空间无法在空间回收流程中被清理,后续需要通过 fscheck 等其他方式回收 + +#### 2. 清理效率问题 + +**问题**:```BlockGroup``` 会被多个 Client 和 Metaserver 同时挣抢。各端获取和释放权限的策略是什么? + +**解决方法1**:各端持有 ```BlockGroup``` 超时释放的策略。 + +具体说明: +各端持有 ```BlockGroup``` 设置一个超时时间,超时归还。其他端可以尝试申请。 + +优点: +- 简单易实现 + +缺点: +- 对分配的影响。由于持有的 ```BlockGroup``` 频繁更换,会导致一个文件的数据分布在数个 ```BlockGroup``` 上, 回收所要集齐的 ```BlockGroup``` 更多了。 +- 回收效率未知。尤其是当文件数据非常巨大的时候,如果未获取 ```BlockGroup``` 直接跳过,那么在处理过程中正好能获得对应 ```BlockGroup``` 的概率是未知且不可控的。如果一直等待某个 ```BlockGroup``` 的释放,要完成一个 Inode 空间的回收耗时也会很长,因为 ``` BlockGroup``` 会释放后会遭到其他 Client 和 Metaserver 的争抢。 + +**解决方法2**:通知对应的 ```BlockGroup``` 持有方进行处理。 + +具体说明: +Metaserver 确定需要清理的 ```BlockGroup```, 通知持有它的 ```BlockGroup``` 端去清理对应的 bitmap. + +优点:可以精准通知,对 ```BlockGroup``` 的竞争小很多 +缺点: +- 因为需要通知其他服务器操作,那么在通知过程中的异常怎么处理。比如重复收到清理消息的问题。要保证清理操作的幂等需要额外比较复杂的方案 +- 上述两个方法可以做到的是遇到可以回收的空间即可清理,在文件量超级大的情况下,这种无差别的清理不能保证清理效率,只能看当前遍历的 Inode 的可回收空间的大小 + +**解决方法3**:先做统计再做清理 + +具体说明: + +- Metaserver 遍历需要清理 Inode,统计出 ```BlockGroup``` 各自需要清理的空间大小 +- Metaserver 将该信息汇总上报给 MDS 汇总,然后对 ```BlockGroup``` 需要回收的空间进行排序,可以根据可回收空间的大小,依次向 ```Client``` 端收回权限,下放给 ```Metaserver```做清理 + +这里需要解决的一个问题是:在 MetaServer 上的信息汇总如何记录? + +- 如果用这样一个结构 ```map>``` 来记录 ```BlockGroup``` 和 InodeId 的对应关系。假设后端空间为 1PB 大小,BlockGroup 大小为 64MB,则 BlockGroup的个数为 1PB/64MB=16384,如果一个 Metaserver 上待删除的 InodeId 为 5000w,则大概估计上述结构体需要占用的空间为 (64Byte*16384)+16384*(5000w/16384)*64Byt≈3GB. +相比较于 Metaserver 本身允许占用的内存空间来说 ```storage.max_memory_quota_bytes```(默认30GB), 这个数据量占用的空间还算可以接受。但是对这个 map 的访问时间应该会很大。如果数据规模继续增大, 这部分数据存在内存里显然是不合适的。 + +- 对这个结果进行持久化。待处理的 inode 集合{inode_wait_to_delete} + - 每次从 {inode_wait_to_delete} 取 n 个 Inode 进行处理 + - 在内存中更新 ```BlockGroup``` 可删除空间 + - 持久化 ```BlockGroup``` 和 Inode 的对应关系(可以直接以 ```BlockGroup``` 作为文件名,Inode append到文件中, 或者直接作为key-value来存储,一个64MB的 ```BlockGroup``, 最多包含的 Indoe 的个数: 64MB/4K=16384, 占用空间大小最多为:16384*64Byte=1MB) + - **这个过程如何同步到三个节点上以保证leader挂掉之后新的leader可以继续进行处理?** 为了保证这个过程中的一致性, {inode_wait_to_delete} , BlockGroup 对应的 Inode 这两个信息的持久化需要走一致性协议。为了恢复的一致性,这两个持久化最好都在rocksdb中。 + +优点: +- 可以清楚的知道需要清理的空间,可以优先回收占用更满的空间,回收效率是三个方法中最高的 +- 极大的减少了对 ```BlockGroup``` 的争抢 + +缺点: +- 在要删除的文件数量特别大的情况下,Metaserver 端对需要清理空间大小统计可能会很慢,可以选择阶段性的结果上报。 + + +#### 3. 已有实现问题 + +当前数据清模块为: [trash](https://github.com/opencurve/curve/blob/87664bd392f3a74c6d126333ebd37088f87f0c58/curvefs/src/metaserver/trash.h#L92), 这个名字是有歧义的,后面会变更为 ```InodeSpaceDeallocate```. + +现在的实现中,任务需要通过 [Add](https://github.com/opencurve/curve/blob/87664bd392f3a74c6d126333ebd37088f87f0c58/curvefs/src/metaserver/trash.h#L101) 接口加入,并且不持久化。当任务中断时,需要依赖 Metaserver 重启遍历一遍 Inode 来恢复任务。 + +**这里存在的问题是:** Metaserver 重启进行过优化,为了加速重启,现在是通过 snapshot + wal 回放的方式来重建 rocksdb 数据库,已经不会全量重放了。所以当前这种方式,会导致中断的任务不再被加载处理。 + +**解决方法:** 数据清理模块持久化需要处理的InodeId + +具体说明:在 Inode 的 nlink 被更新之前加入到数据清理模块,数据清理模块将对应的 InodeId 持久化。异常情况下 nlink 未更新,InodeId 已被持久化,清理模块在扫描的时候判断一下即可。 + +优点: +- 不需要全部遍历所有的 InodeId, 清理效率会大大提高 + +缺点: +- 三副本上需要同步这一信息,因此 InodeId 的持久化需要通过一致性协议,在删除的文件数量很大的情况下,会有比较大的时间开销 + diff --git a/docs/images/deallocate-space-process.png b/docs/images/deallocate-space-process.png new file mode 100644 index 0000000000000000000000000000000000000000..d3228c324205d408b82da9b70e67178af44df680 GIT binary patch literal 89517 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