f2fs系列 之三:目录结构

网友投稿 273 2022-10-14

f2fs系列 之三:目录结构

文件系统除了需要记录一个文件有哪些数据块之外,还需要记录一个目录有哪些文件,提供通过文件名索引到文件的手段。在f2fs中,这些都是通过f2fs directory 相关的数据结构去组织的。

f2fs的目录结构

了解了f2fs的目录结构,才能理解f2fs如何索引文件的。其中关键是掌握下面几个概念: directory entry,bucket,directroy block.

directory entry

每个目录entry包括hash/ino/len/type四个成员,占用11bytes。每个entry代表一个子目录、符号链接或者普通文件。

A directory entry occupies 11 bytes, which consists of the following attributes. - hash hash value of the file name - ino inode number - len the length of file name - type file type such as directory, symlink, etc

directory block

专门存储directory entry的block叫做diretory block。

A dentry block consists of 214 dentry slots and file names. Therein a bitmap is used to represent whether each dentry is valid or not. A dentry block occupies 4KB with the following composition. Dentry Block(4 K) = bitmap (27 bytes) + reserved (3 bytes) + dentries(11 * 214 bytes) + file name (8 * 214 bytes) +--------+----------+----------+------------+ | bitmap | reserved | dentries | file names | +--------+----------+----------+------------+ [Dentry Block: 4KB] . . . . . . +------+------+-----+------+ | hash | ino | len | type | +------+------+-----+------+ [Dentry Structure: 11 bytes]

bucket

一个bucket 根据它的目录深度,可以有2个、4个、8个... dentry block。

[Bucket] +--------------------------------+ |dentry block 1 | dentry block 2 | +--------------------------------+ The number of blocks and buckets are determined by, # of blocks in level #n = | `- 4, Otherwise ,- 2^(n + dir_level), | if n + dir_level < MAX_DIR_HASH_DEPTH / 2,

索引方法

不同深度的目录具有不同数量的bucket。

of buckets in level #n = | `- 2^((MAX_DIR_HASH_DEPTH / 2) - 1), Otherwise ,- 2, if n < MAX_DIR_HASH_DEPTH / 2, F2FS implements multi-level hash tables for directory structure. Each level has a hash table with dedicated number of hash buckets as shown below. Note that "A(2B)" means a bucket includes 2 data blocks. ---------------------- A : bucket B : block N : MAX_DIR_HASH_DEPTH ---------------------- | level #1 | A(2B) - A(2B) | level #2 | A(2B) - A(2B) - A(2B) - A(2B) . | . . . . level #N/2 | A(2B) - A(2B) - A(2B) - A(2B) - A(2B) - ... - A(2B) . | . . . . level #N | A(4B) - A(4B) - A(4B) - A(4B) - A(4B) - ... - A(4B) When F2FS finds a file name in a directory, at first a hash value of the file name is calculated. Then, F2FS scans the hash table in level #0 to find the dentry consisting of the file name and its inode number. If not found, F2FS scans the next hash table in level #1. In this way, F2FS scans hash tables in each levels incrementally from 1 to N. In each levels F2FS needs to scan only one bucket determined by the following equation, which shows O(log(# of files)) complexity. bucket number to scan in level #n = (hash value) % (# of buckets in level #n) In the case of file creation, F2FS finds empty consecutive slots that cover the file name. F2FS searches the empty slots in the hash tables of whole levels from 1 to N in the same way as the lookup operation. The following figure shows an example of two cases holding children. --------------> Dir <-------------- | | child child child - child [hole] - child child - child - child [hole] - [hole] - child Case 1: Case 2: Number of children = 6, Number of children = 3, File size = 7 File size = 7

inode number和file name如何关联

计算出hash 值之后,根据 inode 去读对应的block:这里除了比较hash值之外,还会比较file name,所以可以避免hash冲突。

hash 函数在 hash.c 里面: fs/f2fs/hash.c

f2fs_dentry_block: /* 4KB-sized directory entry block */ struct f2fs_dentry_block { /* validity bitmap for directory entries in each block */ __u8 dentry_bitmap[SIZE_OF_DENTRY_BITMAP]; __u8 reserved[SIZE_OF_RESERVED]; struct f2fs_dir_entry dentry[NR_DENTRY_IN_BLOCK]; __u8 filename[NR_DENTRY_IN_BLOCK][F2FS_SLOT_LEN]; } __packed;

具体的hash比较过程如下:

struct f2fs_dir_entry *f2fs_find_target_dentry(struct fscrypt_name *fname, f2fs_hash_t namehash, int *max_slots, struct f2fs_dentry_ptr *d) { struct f2fs_dir_entry *de; unsigned long bit_pos = 0; int max_len = 0; if (max_slots) *max_slots = 0; while (bit_pos < d->max) { if (!test_bit_le(bit_pos, d->bitmap)) { bit_pos++; max_len++; continue; } de = &d->dentry[bit_pos]; if (unlikely(!de->name_len)) { bit_pos++; continue; } if (**de->hash_code == namehash && fscrypt_match_name(fname, d->filename[bit_pos], le16_to_cpu(de->name_len)))** goto found; if (max_slots && max_len > *max_slots) *max_slots = max_len; max_len = 0; bit_pos += GET_DENTRY_SLOTS(le16_to_cpu(de->name_len)); }

上面函数的被调用链如下:called in find_in_block()called in find_in_level() called in __f2fs_find_entry()called by f2fs_add_regular_entry()由此看见,添加一个entry的时候就会根据dentry filename计算hash,如果找到已经存在的并且文件名相同,就说明它真的已经存在。

版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。

上一篇:AWS 通过成本分配标签来查看账单
下一篇:Java8新特性Optional类处理空值判断回避空指针异常应用
相关文章

 发表评论

暂时没有评论,来抢沙发吧~