1、HDFS File System Shell
Overview
- appendToFile
- cat
- checksum
- chgrp
- chmod
- chown
- copyFromLocal
- copyToLocal
- count
- cp
- createSnapshot
- deleteSnapshot
- df
- du
- dus
- expunge
- find
- get
- getfacl
- getfattr
- getmerge
- help
- ls
- lsr
- mkdir
- moveFromLocal
- moveToLocal
- mv
- put
- renameSnapshot
- rm
- rmdir
- rmr
- setfacl
- setfattr
- setrep
- stat
- tail
- test
- text
- touchz
- truncate
- usage
Overview
The File System (FS) shell includes various shell-like commands that directly interact with the Hadoop Distributed File System (HDFS) as well as other file systems that Hadoop supports, such as Local FS, HFTP FS, S3 FS, and others. The FS shell is invoked by:
bin/hadoop fs <args>
All FS shell commands take path URIs as arguments. The URI format is scheme://authority/path. For HDFS the scheme is hdfs, and for the Local FS the scheme is file. The scheme and authority are optional. If not specified, the default scheme specified in the configuration is used. An HDFS file or directory such as /parent/child can be specified as hdfs://namenodehost/parent/child or simply as /parent/child (given that your configuration is set to point to hdfs://namenodehost).
Most of the commands in FS shell behave like corresponding Unix commands. Differences are described with each of the commands. Error information is sent to stderr and the output is sent to stdout.
If HDFS is being used, hdfs dfs is a synonym. See the Commands Manual for generic shell options.
- appendToFile
Usage: hadoop fs -appendToFile
Append single src, or multiple srcs from local file system to the destination file system. Also reads input from stdin and appends to destination file system.
hadoop fs -appendToFile localfile /user/hadoop/hadoopfile
hadoop fs -appendToFile localfile1 localfile2 /user/hadoop/hadoopfile
hadoop fs -appendToFile localfile hdfs://nn.example.com/hadoop/hadoopfile
hadoop fs -appendToFile - hdfs://nn.example.com/hadoop/hadoopfile Reads the input from stdin.
Exit Code:
Returns 0 on success and 1 on error.
- cat
Usage: hadoop fs -cat URI [URI ...]
Copies source paths to stdout.
Example:
hadoop fs -cat hdfs://nn1.example.com/file1 hdfs://nn2.example.com/file2
hadoop fs -cat file:///file3 /user/hadoop/file4
Exit Code:
Returns 0 on success and -1 on error.
- checksum
Usage: hadoop fs -checksum URI
Returns the checksum information of a file.
Example:
hadoop fs -checksum hdfs://nn1.example.com/file1
hadoop fs -checksum file:///etc/hosts
- chgrp
Usage: hadoop fs -chgrp [-R] GROUP URI [URI ...]
Change group association of files. The user must be the owner of files, or else a super-user. Additional information is in the Permissions Guide.
Options
The -R option will make the change recursively through the directory structure.
- chmod
Usage: hadoop fs -chmod [-R]
Change the permissions of files. With -R, make the change recursively through the directory structure. The user must be the owner of the file, or else a super-user. Additional information is in the Permissions Guide.
Options
The -R option will make the change recursively through the directory structure.
- chown
Usage: hadoop fs -chown [-R] [OWNER][:[GROUP]] URI [URI ]
Change the owner of files. The user must be a super-user. Additional information is in the Permissions Guide.
Options
The -R option will make the change recursively through the directory structure.
- copyFromLocal
Usage: hadoop fs -copyFromLocal
Similar to put command, except that the source is restricted to a local file reference.
Options:
The -f option will overwrite the destination if it already exists. copyToLocal
Usage: hadoop fs -copyToLocal [-ignorecrc] [-crc] URI
Similar to get command, except that the destination is restricted to a local file reference.
- count
Usage: hadoop fs -count [-q] [-h] [-v]
Count the number of directories, files and bytes under the paths that match the specified file pattern. The output columns with -count are: DIR_COUNT, FILE_COUNT, CONTENT_SIZE, PATHNAME
The output columns with -count -q are: QUOTA, REMAINING_QUATA, SPACE_QUOTA, REMAINING_SPACE_QUOTA, DIR_COUNT, FILE_COUNT, CONTENT_SIZE, PATHNAME
The -h option shows sizes in human readable format.
The -v option displays a header line.
Example:
hadoop fs -count hdfs://nn1.example.com/file1 hdfs://nn2.example.com/file2
hadoop fs -count -q hdfs://nn1.example.com/file1
hadoop fs -count -q -h hdfs://nn1.example.com/file1
hdfs dfs -count -q -h -v hdfs://nn1.example.com/file1
Exit Code:
Returns 0 on success and -1 on error.
- cp
Usage: hadoop fs -cp [-f] [-p | -p[topax]] URI [URI ...]
Copy files from source to destination. This command allows multiple sources as well in which case the destination must be a directory.
‘raw.’ namespace extended attributes are preserved if (1) the source and destination filesystems support them (HDFS only), and (2) all source and destination pathnames are in the /.reserved/raw hierarchy. Determination of whether raw. namespace xattrs are preserved is independent of the -p (preserve) flag.
Options:
The -f option will overwrite the destination if it already exists.
The -p option will preserve file attributes [topx] (timestamps, ownership, permission, ACL, XAttr). If -p is specified with no arg, then preserves timestamps, ownership, permission. If -pa is specified, then preserves permission also because ACL is a super-set of permission. Determination of whether raw namespace extended attributes are preserved is independent of the -p flag.
Example:
hadoop fs -cp /user/hadoop/file1 /user/hadoop/file2
hadoop fs -cp /user/hadoop/file1 /user/hadoop/file2 /user/hadoop/dir
Exit Code:
Returns 0 on success and -1 on error.
- createSnapshot
See HDFS Snapshots Guide.
- deleteSnapshot
See HDFS Snapshots Guide.
- df
Usage: hadoop fs -df [-h] URI [URI ...]
Displays free space.
Options:
The -h option will format file sizes in a “human-readable” fashion (e.g 64.0m instead of 67108864)
Example:
hadoop dfs -df /user/hadoop/dir1
- du
Usage: hadoop fs -du [-s] [-h] URI [URI ...]
Displays sizes of files and directories contained in the given directory or the length of a file in case its just a file.
Options:
The -s option will result in an aggregate summary of file lengths being displayed, rather than the individual files.
The -h option will format file sizes in a “human-readable” fashion (e.g 64.0m instead of 67108864)
Example:
hadoop fs -du /user/hadoop/dir1 /user/hadoop/file1 hdfs://nn.example.com/user/hadoop/dir1
Exit Code: Returns 0 on success and -1 on error.
- dus
Usage: hadoop fs -dus
Displays a summary of file lengths.
Note: This command is deprecated. Instead use hadoop fs -du -s.
- expunge
Usage: hadoop fs -expunge
Empty the Trash. Refer to the HDFS Architecture Guide for more information on the Trash feature.
- find
Usage: hadoop fs -find
Finds all files that match the specified expression and applies selected actions to them. If no path is specified then defaults to the current working directory. If no expression is specified then defaults to -print.
The following primary expressions are recognised:
-name pattern
-iname pattern
Evaluates as true if the basename of the file matches the pattern using standard file system globbing. If -iname is used then the match is case insensitive.
-print
-print0Always
evaluates to true. Causes the current pathname to be written to standard output. If the -print0 expression is used then an ASCII NULL character is appended.
The following operators are recognised:
expression -a expression
expression -and expression
expression expression
Logical AND operator for joining two expressions. Returns true if both child expressions return true. Implied by the juxtaposition of two expressions and so does not need to be explicitly specified. The second expression will not be applied if the first fails.
Example:
hadoop fs -find / -name test -print
Exit Code:
Returns 0 on success and -1 on error.
- get
Usage: hadoop fs -get [-ignorecrc] [-crc]
Copy files to the local file system. Files that fail the CRC check may be copied with the -ignorecrc option. Files and CRCs may be copied using the -crc option.
Example:
hadoop fs -get /user/hadoop/file localfile
hadoop fs -get hdfs://nn.example.com/user/hadoop/file localfile
Exit Code:
Returns 0 on success and -1 on error.
- getfacl
Usage: hadoop fs -getfacl [-R]
Displays the Access Control Lists (ACLs) of files and directories. If a directory has a default ACL, then getfacl also displays the default ACL.
Options:
-R: List the ACLs of all files and directories recursively.
path: File or directory to list.
Examples:
hadoop fs -getfacl /file
hadoop fs -getfacl -R /dir
Exit Code:
Returns 0 on success and non-zero on error.
- getfattr
Usage: hadoop fs -getfattr [-R] -n name | -d [-e en]
Displays the extended attribute names and values (if any) for a file or directory.
Options:
- -R: Recursively list the attributes for all files and directories.
- -n name: Dump the named extended attribute value.
- -d: Dump all extended attribute values associated with pathname.
- -e encoding: Encode values after retrieving them. Valid encodings are “text”, “hex”, and “base64”. Values encoded as text strings are enclosed in double quotes ("), and values encoded as hexadecimal and base64 are prefixed with 0x and 0s, respectively.
- path: The file or directory.
Examples:
hadoop fs -getfattr -d /file
hadoop fs -getfattr -R -n user.myAttr /dir
Exit Code:
Returns 0 on success and non-zero on error.
- getmerge
Usage: hadoop fs -getmerge [-nl]
Takes a source directory and a destination file as input and concatenates files in src into the destination local file. Optionally -nl can be set to enable adding a newline character (LF) at the end of each file.
Examples:
hadoop fs -getmerge -nl /src /opt/output.txt
hadoop fs -getmerge -nl /src/file1.txt /src/file2.txt /output.txt
Exit Code:
Returns 0 on success and non-zero on error.
- help
Usage: hadoop fs -help
Return usage output.
- ls
Usage: hadoop fs -ls [-d] [-h] [-R]
Options:
- -d: Directories are listed as plain files.
- -h: Format file sizes in a human-readable fashion (eg 64.0m instead of 67108864).
- -R: Recursively list subdirectories encountered.
For a file ls returns stat on the file with the following format:
permissions number_of_replicas userid groupid filesize modification_date modification_time filename
For a directory it returns list of its direct children as in Unix. A directory is listed as:
permissions userid groupid modification_date modification_time dirname
Files within a directory are order by filename by default.
Example:
hadoop fs -ls /user/hadoop/file1
Exit Code:
Returns 0 on success and -1 on error.
- lsr
Usage: hadoop fs -lsr
Recursive version of ls.
Note: This command is deprecated. Instead use hadoop fs -ls -R
- mkdir
Usage: hadoop fs -mkdir [-p]
Takes path uri’s as argument and creates directories.
Options:
The -p option behavior is much like Unix mkdir -p, creating parent directories along the path.
Example:
hadoop fs -mkdir /user/hadoop/dir1 /user/hadoop/dir2
hadoop fs -mkdir hdfs://nn1.example.com/user/hadoop/dir hdfs://nn2.example.com/user/hadoop/dir
Exit Code:
Returns 0 on success and -1 on error.
- moveFromLocal
Usage: hadoop fs -moveFromLocal
Similar to put command, except that the source localsrc is deleted after it’s copied.
- moveToLocal
Usage: hadoop fs -moveToLocal [-crc]
Displays a “Not implemented yet” message.
- mv
Usage: hadoop fs -mv URI [URI ...]
Moves files from source to destination. This command allows multiple sources as well in which case the destination needs to be a directory. Moving files across file systems is not permitted.
Example:
hadoop fs -mv /user/hadoop/file1 /user/hadoop/file2
hadoop fs -mv hdfs://nn.example.com/file1 hdfs://nn.example.com/file2 hdfs://nn.example.com/file3 hdfs://nn.example.com/dir1
Exit Code:
Returns 0 on success and -1 on error.
- put
Usage: hadoop fs -put
Copy single src, or multiple srcs from local file system to the destination file system. Also reads input from stdin and writes to destination file system.
hadoop fs -put localfile /user/hadoop/hadoopfile
hadoop fs -put localfile1 localfile2 /user/hadoop/hadoopdir
hadoop fs -put localfile hdfs://nn.example.com/hadoop/hadoopfile
hadoop fs -put - hdfs://nn.example.com/hadoop/hadoopfile Reads the input from stdin.
Exit Code:
Returns 0 on success and -1 on error.
- renameSnapshot
See HDFS Snapshots Guide.
- rm
Usage: hadoop fs -rm [-f] [-r |-R] [-skipTrash] URI [URI ...]
Delete files specified as args.
Options:
The -f option will not display a diagnostic message or modify the exit status to reflect an error if the file does not exist.
The -R option deletes the directory and any content under it recursively.
The -r option is equivalent to -R.
The -skipTrash option will bypass trash, if enabled, and delete the specified file(s) immediately. This can be useful when it is necessary to delete files from an over-quota directory.
Example:
hadoop fs -rm hdfs://nn.example.com/file /user/hadoop/emptydir
Exit Code:
Returns 0 on success and -1 on error.
- rmdir
Usage: hadoop fs -rmdir [--ignore-fail-on-non-empty] URI [URI ...]
Delete a directory.
Options:
--ignore-fail-on-non-empty: When using wildcards, do not fail if a directory still contains files. Example:
hadoop fs -rmdir /user/hadoop/emptydirrmr
Usage: hadoop fs -rmr [-skipTrash] URI [URI ...]
Recursive version of delete.
Note: This command is deprecated. Instead use hadoop fs -rm -r
- setfacl
Usage: hadoop fs -setfacl [-R] [-b |-k -m |-x
Sets Access Control Lists (ACLs) of files and directories.
Options:
-b: Remove all but the base ACL entries. The entries for user, group and others are retained for compatibility with permission bits.
-k: Remove the default ACL.
-R: Apply operations to all files and directories recursively.
-m: Modify ACL. New entries are added to the ACL, and existing entries are retained.
-x: Remove specified ACL entries. Other ACL entries are retained.
--set: Fully replace the ACL, discarding all existing entries. The acl_spec must include entries for user, group, and others for compatibility with permission bits.
acl_spec: Comma separated list of ACL entries.
path: File or directory to modify.
Examples:
hadoop fs -setfacl -m user:hadoop:rw- /file
hadoop fs -setfacl -x user:hadoop /file
hadoop fs -setfacl -b /file
hadoop fs -setfacl -k /dir
hadoop fs -setfacl --set
user::rw-,user:hadoop:rw-,group::r--,other::r-- /file
hadoop fs -setfacl -R -m user:hadoop:r-x /dir
hadoop fs -setfacl -m default:user:hadoop:r-x /dir
Exit Code:
Returns 0 on success and non-zero on error.
- setfattr
Usage: hadoop fs -setfattr -n name [-v value] | -x name
Sets an extended attribute name and value for a file or directory.
Options:
-b: Remove all but the base ACL entries. The entries for user, group and others are retained for compatibility with permission bits.
-n name: The extended attribute name.
-v value: The extended attribute value. There are three different encoding methods for the value. If the argument is enclosed in double quotes, then the value is the string inside the quotes. If the argument is prefixed with 0x or 0X, then it is taken as a hexadecimal number. If the argument begins with 0s or 0S, then it is taken as a base64 encoding.
-x name: Remove the extended attribute.
path: The file or directory.
Examples:
hadoop fs -setfattr -n user.myAttr -v myValue /file
hadoop fs -setfattr -n user.noValue /file
hadoop fs -setfattr -x user.myAttr /file
Exit Code:
Returns 0 on success and non-zero on error.
- setrep
Usage: hadoop fs -setrep [-R] [-w]
Changes the replication factor of a file. If path is a directory then the command recursively changes the replication factor of all files under the directory tree rooted at path.
Options:
The -w flag requests that the command wait for the replication to complete. This can potentially take a very long time.
The -R flag is accepted for backwards compatibility. It has no effect.
Example:
hadoop fs -setrep -w 3 /user/hadoop/dir1
Exit Code:
Returns 0 on success and -1 on error.
- stat
Usage: hadoop fs -stat [format]
Print statistics about the file/directory at
Example:
hadoop fs -stat "%F %u:%g %b %y %n" /file
Exit Code: Returns 0 on success and -1 on error.
- tail
Usage: hadoop fs -tail [-f] URI
Displays last kilobyte of the file to stdout.
Options:
The -f option will output appended data as the file grows, as in Unix.
Example:
hadoop fs -tail pathname
Exit Code: Returns 0 on success and -1 on error.
- test
Usage: hadoop fs -test -[defsz] URI
Options:
-d: f the path is a directory, return 0.
-e: if the path exists, return 0.
-f: if the path is a file, return 0.
-s: if the path is not empty, return 0.
-z: if the file is zero length, return 0.
Example:
hadoop fs -test -e filename
- text
Usage: hadoop fs -text
Takes a source file and outputs the file in text format. The allowed formats are zip and TextRecordInputStream.
- touchz
Usage: hadoop fs -touchz URI [URI ...]
Create a file of zero length.
Example:
hadoop fs -touchz pathname
Exit Code: Returns 0 on success and -1 on error.
- truncate
Usage: hadoop fs -truncate [-w]
Truncate all files that match the specified file pattern to the specified length.
Options:
The -w flag requests that the command waits for block recovery to complete, if necessary. Without -w flag the file may remain unclosed for some time while the recovery is in progress. During this time file cannot be reopened for append.
Example:
hadoop fs -truncate 55 /user/hadoop/file1 /user/hadoop/file2
hadoop fs -truncate -w 127 hdfs://nn1.example.com/user/hadoop/file1
usage
Usage: hadoop fs -usage command
Return the help for an individual command.
原文可参考Apache官方网站： http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsQuotaAdminGuide.html
2、HDFS fsck命令
在HDFS中，提供了fsck命令，用于检查HDFS上文件和目录的健康状态、获取文件的block信息和位置信息等。 fsck命令必须由HDFS超级用户来执行，普通用户无权限。
1. [hadoop@dev ~]$ hdfs fsck
2. Usage: DFSck [-list-corruptfileblocks | [-move | -delete | -openforwrite] [-files [-blocks [-locations | -racks]]]]
3. start checking from this path
4. -move move corrupted files to /lost+found
5. -delete delete corrupted files
6. -files print out files being checked
7. -openforwrite print out files opened for write
8. -includeSnapshots include snapshot data if the given path indicates a snapshottable directory or there are snapshottable directories under it
9. -list-corruptfileblocks print out list of missing blocks and files they belong to
10. -blocks print out block report
11. -locations print out locations for every block
12. -racks print out network topology for data-node locations
下面介绍每一个选项的含义及用法。
（1）查看文件中损坏的块（-list-corruptfileblocks）
1. [hadoop@dev ~]$ hdfs fsck /hivedata/warehouse/liuxiaowen.db/lxw_product_names/ -list-corruptfileblocks
2. The filesystem under path '/hivedata/warehouse/liuxiaowen.db/lxw_product_names/' has 0 CORRUPT files
（2）将损坏的文件移动至/lost+found目录（-move）
1. [hadoop@dev ~]$ hdfs fsck /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00168 -move
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00168 at Thu Aug 13 09:36:35 CST 2015
3. .Status: HEALTHY
4. Total size: 13497058 B
5. Total dirs: 0
6. Total files: 1
7. Total symlinks: 0
8. Total blocks (validated): 1 (avg. block size 13497058 B)
9. Minimally replicated blocks: 1 (100.0 %)
10. Over-replicated blocks: 0 (0.0 %)
11. Under-replicated blocks: 0 (0.0 %)
12. Mis-replicated blocks: 0 (0.0 %)
13. Default replication factor: 2
14. Average block replication: 2.0
15. Corrupt blocks: 0
16. Missing replicas: 0 (0.0 %)
17. Number of data-nodes: 15
18. Number of racks: 1
19. FSCK ended at Thu Aug 13 09:36:35 CST 2015 in 1 milliseconds
20.
21.
22. The filesystem under path '/hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00168' is HEALTHY
（3）删除损坏的文件（-delete）
1. [hadoop@dev ~]$ hdfs fsck /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00168 -delete
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00168 at Thu Aug 13 09:37:58 CST 2015
3. .Status: HEALTHY
4. Total size: 13497058 B
5. Total dirs: 0
6. Total files: 1
7. Total symlinks: 0
8. Total blocks (validated): 1 (avg. block size 13497058 B)
9. Minimally replicated blocks: 1 (100.0 %)
10. Over-replicated blocks: 0 (0.0 %)
11. Under-replicated blocks: 0 (0.0 %)
12. Mis-replicated blocks: 0 (0.0 %)
13. Default replication factor: 2
14. Average block replication: 2.0
15. Corrupt blocks: 0
16. Missing replicas: 0 (0.0 %)
17. Number of data-nodes: 15
18. Number of racks: 1
19. FSCK ended at Thu Aug 13 09:37:58 CST 2015 in 1 milliseconds
20.
21.
22. The filesystem under path '/hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00168' is HEALTHY
（4）检查并列出所有文件状态（-files）
1. [hadoop@dev ~]$ hdfs fsck /hivedata/warehouse/liuxiaowen.db/lxw_product_names/ -files
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /hivedata/warehouse/liuxiaowen.db/lxw_product_names/ at Thu Aug 13 09:39:38 CST 2015
3. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/ dir
4. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/_SUCCESS 0 bytes, 0 block(s): OK
5. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00000 13583807 bytes, 1 block(s): OK
6. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00001 13577427 bytes, 1 block(s): OK
7. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00002 13588601 bytes, 1 block(s): OK
8. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00003 13479213 bytes, 1 block(s): OK
9. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00004 13497012 bytes, 1 block(s): OK
10. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00005 13557451 bytes, 1 block(s): OK
11. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00006 13580267 bytes, 1 block(s): OK
12. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00007 13486035 bytes, 1 block(s): OK
13. /hivedata/warehouse/liuxiaowen.db/lxw_product_names/part-00008 13481498 bytes, 1 block(s): OK
14. ...
（5）检查并打印正在被打开执行写操作的文件（-openforwrite）
1. [hadoop@dev ~]$ hdfs fsck /hivedata/warehouse/liuxiaowen.db/lxw_product_names/ -openforwrite
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /hivedata/warehouse/liuxiaowen.db/lxw_product_names/ at Thu Aug 13 09:41:28 CST 2015
3. ....................................................................................................
4. ....................................................................................................
5. .Status: HEALTHY
6. Total size: 2704782548 B
7. Total dirs: 1
8. Total files: 201
9. Total symlinks: 0
10. Total blocks (validated): 200 (avg. block size 13523912 B)
11. Minimally replicated blocks: 200 (100.0 %)
12. Over-replicated blocks: 0 (0.0 %)
13. Under-replicated blocks: 0 (0.0 %)
14. Mis-replicated blocks: 0 (0.0 %)
15. Default replication factor: 2
16. Average block replication: 2.0
17. Corrupt blocks: 0
18. Missing replicas: 0 (0.0 %)
19. Number of data-nodes: 15
20. Number of racks: 1
21. FSCK ended at Thu Aug 13 09:41:28 CST 2015 in 10 milliseconds
22.
23. The filesystem under path '/hivedata/warehouse/liuxiaowen.db/lxw_product_names/' is HEALTHY
（6）打印文件的Block报告（-blocks） 需要和-files一起使用。
1. [hadoop@dev ~]$ hdfs fsck /logs/site/2015-08-08/lxw1234.log -files -blocks
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /logs/site/2015-08-08/lxw1234.log at Thu Aug 13 09:45:59 CST 2015
3. /logs/site/2015-08-08/lxw1234.log 7408754725 bytes, 56 block(s): OK
4. 0. BP-1034052771-172.16.212.130-1405595752491:blk_1075892982_2152381 len=134217728 repl=2
5. 1. BP-1034052771-172.16.212.130-1405595752491:blk_1075892983_2152382 len=134217728 repl=2
6. 2. BP-1034052771-172.16.212.130-1405595752491:blk_1075892984_2152383 len=134217728 repl=2
7. 3. BP-1034052771-172.16.212.130-1405595752491:blk_1075892985_2152384 len=134217728 repl=2
8. 4. BP-1034052771-172.16.212.130-1405595752491:blk_1075892997_2152396 len=134217728 repl=2
9. 5. BP-1034052771-172.16.212.130-1405595752491:blk_1075892998_2152397 len=134217728 repl=2
10. 6. BP-1034052771-172.16.212.130-1405595752491:blk_1075892999_2152398 len=134217728 repl=2
11. 7. BP-1034052771-172.16.212.130-1405595752491:blk_1075893000_2152399 len=134217728 repl=2
12. 8. BP-1034052771-172.16.212.130-1405595752491:blk_1075893001_2152400 len=134217728 repl=2
13. 9. BP-1034052771-172.16.212.130-1405595752491:blk_1075893002_2152401 len=134217728 repl=2
14. 10. BP-1034052771-172.16.212.130-1405595752491:blk_1075893003_2152402 len=134217728 repl=2
15. 11. BP-1034052771-172.16.212.130-1405595752491:blk_1075893004_2152403 len=134217728 repl=2
16. 12. BP-1034052771-172.16.212.130-1405595752491:blk_1075893005_2152404 len=134217728 repl=2
17. 13. BP-1034052771-172.16.212.130-1405595752491:blk_1075893006_2152405 len=134217728 repl=2
18. 14. BP-1034052771-172.16.212.130-1405595752491:blk_1075893007_2152406 len=134217728 repl=2
19. ...
其中，/logs/site/2015-08-08/lxw1234.log 7408754725 bytes, 56 block(s): 表示文件的总大小和block数；
0.BP-1034052771-172.16.212.130-1405595752491:blk_1075892982_2152381 len=134217728 repl=2
1.BP-1034052771-172.16.212.130-1405595752491:blk_1075892983_2152382 len=134217728 repl=2
2.BP-1034052771-172.16.212.130-1405595752491:blk_1075892984_2152383 len=134217728 repl=2
前面的0. 1. 2.代表该文件的block索引，56的文件块，就从0-55;
BP-1034052771-172.16.212.130-1405595752491:blk_1075892982_2152381表示block id；
len=134217728 表示该文件块大小；
repl=2 表示该文件块副本数；
（7）打印文件块的位置信息（-locations）需要和-files -blocks一起使用。
1. [hadoop@dev ~]$ hdfs fsck /logs/site/2015-08-08/lxw1234.log -files -blocks -locations
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /logs/site/2015-08-08/lxw1234.log at Thu Aug 13 09:45:59 CST 2015
3. /logs/site/2015-08-08/lxw1234.log 7408754725 bytes, 56 block(s): OK
4. 0. BP-1034052771-172.16.212.130-1405595752491:blk_1075892982_2152381 len=134217728 repl=2 [172.16.212.139:50010, 172.16.212.135:50010]
5. 1. BP-1034052771-172.16.212.130-1405595752491:blk_1075892983_2152382 len=134217728 repl=2 [172.16.212.140:50010, 172.16.212.133:50010]
6. 2. BP-1034052771-172.16.212.130-1405595752491:blk_1075892984_2152383 len=134217728 repl=2 [172.16.212.136:50010, 172.16.212.141:50010]
7. 3. BP-1034052771-172.16.212.130-1405595752491:blk_1075892985_2152384 len=134217728 repl=2 [172.16.212.133:50010, 172.16.212.135:50010]
8. 4. BP-1034052771-172.16.212.130-1405595752491:blk_1075892997_2152396 len=134217728 repl=2 [172.16.212.142:50010, 172.16.212.139:50010]
9. 5. BP-1034052771-172.16.212.130-1405595752491:blk_1075892998_2152397 len=134217728 repl=2 [172.16.212.133:50010, 172.16.212.139:50010]
10. 6. BP-1034052771-172.16.212.130-1405595752491:blk_1075892999_2152398 len=134217728 repl=2 [172.16.212.141:50010, 172.16.212.135:50010]
11. 7. BP-1034052771-172.16.212.130-1405595752491:blk_1075893000_2152399 len=134217728 repl=2 [172.16.212.144:50010, 172.16.212.142:50010]
12. 8. BP-1034052771-172.16.212.130-1405595752491:blk_1075893001_2152400 len=134217728 repl=2 [172.16.212.133:50010, 172.16.212.138:50010]
13. 9. BP-1034052771-172.16.212.130-1405595752491:blk_1075893002_2152401 len=134217728 repl=2 [172.16.212.140:50010, 172.16.212.134:50010]
14. ...
和打印出的文件块信息相比，多了一个文件块的位置信息：[172.16.212.139:50010, 172.16.212.135:50010]
（8）打印文件块位置所在的机架信息（-racks）
1. [hadoop@dev ~]$ hdfs fsck /logs/site/2015-08-08/lxw1234.log -files -blocks -locations -racks
2. FSCK started by hadoop (auth:SIMPLE) from /172.16.212.17 for path /logs/site/2015-08-08/lxw1234.log at Thu Aug 13 09:45:59 CST 2015
3. /logs/site/2015-08-08/lxw1234.log 7408754725 bytes, 56 block(s): OK
4. 0. BP-1034052771-172.16.212.130-1405595752491:blk_1075892982_2152381 len=134217728 repl=2 [/default-rack/172.16.212.139:50010, /default-rack/172.16.212.135:50010]
5. 1. BP-1034052771-172.16.212.130-1405595752491:blk_1075892983_2152382 len=134217728 repl=2 [/default-rack/172.16.212.140:50010, /default-rack/172.16.212.133:50010]
6. 2. BP-1034052771-172.16.212.130-1405595752491:blk_1075892984_2152383 len=134217728 repl=2 [/default-rack/172.16.212.136:50010, /default-rack/172.16.212.141:50010]
7. 3. BP-1034052771-172.16.212.130-1405595752491:blk_1075892985_2152384 len=134217728 repl=2 [/default-rack/172.16.212.133:50010, /default-rack/172.16.212.135:50010]
8. 4. BP-1034052771-172.16.212.130-1405595752491:blk_1075892997_2152396 len=134217728 repl=2 [/default-rack/172.16.212.142:50010, /default-rack/172.16.212.139:50010]
9. 5. BP-1034052771-172.16.212.130-1405595752491:blk_1075892998_2152397 len=134217728 repl=2 [/default-rack/172.16.212.133:50010, /default-rack/172.16.212.139:50010]
10. ...
和前面打印出的信息相比，多了机架信息： [/default-rack/172.16.212.139:50010, /default-rack/172.16.212.135:50010]