Provided by: duperemove_0.11.2-3build2_amd64 
NAME
duperemove - Find duplicate extents and print them to stdout
SYNOPSIS
duperemove [options] files...
DESCRIPTION
duperemove is a simple tool for finding duplicated extents and submitting them for
deduplication. When given a list of files it will hash the contents of their extents and
compare those hashes to each other, finding and categorizing extents that match each
other. When given the -d option, duperemove will submit those extents for deduplication
using the Linux kernel extent-same ioctl.
duperemove can store the hashes it computes in a hashfile. If given an existing hashfile,
duperemove will only compute hashes for those files which have changed since the last run.
Thus you can run duperemove repeatedly on your data as it changes, without having to re-
checksum unchanged data. For more on hashfiles see the --hashfile option below as well as
the Examples section.
duperemove can also take input from the fdupes program, see the --fdupes option below.
GENERAL
Duperemove has two major modes of operation one of which is a subset of the other.
Readonly / Non-deduplicating Mode
When run without -d (the default) duperemove will print out one or more tables of matching
extents it has determined would be ideal candidates for deduplication. As a result,
readonly mode is useful for seeing what duperemove might do when run with -d.
Generally, duperemove does not concern itself with the underlying representation of the
extents it processes. Some of them could be compressed, undergoing I/O, or even have
already been deduplicated. In dedupe mode, the kernel handles those details and therefore
we try not to replicate that work.
Deduping Mode
This functions similarly to readonly mode with the exception that the duplicated extents
found in our "read, hash, and compare" step will actually be submitted for deduplication.
Extents that have already been deduped will be skipped. An estimate of the total data
deduplicated will be printed after the operation is complete. This estimate is calculated
by comparing the total amount of shared bytes in each file before and after the dedupe.
OPTIONS
files can refer to a list of regular files and directories or be a hyphen (-) to read them
from standard input. If a directory is specified, all regular files within it will also
be scanned. Duperemove can also be told to recursively scan directories with the '-r'
switch.
-r Enable recursive dir traversal.
-d De-dupe the results - only works on btrfs and xfs.
-A Opens files readonly when deduping. Primarily for use by privileged users on
readonly snapshots.
-h Print numbers in human-readable format.
-q Quiet mode. Duperemove will only print errors and a short summary of any dedupe.
--hashfile=hashfile
Use a file for storage of hashes instead of memory. This option drastically reduces
the memory footprint of duperemove and is recommended when your data set is more
than a few files large. Hashfiles are also reusable, allowing you to further
reduce the amount of hashing done on subsequent dedupe runs.
If hashfile does not exist it will be created. If it exists, duperemove will check
the file paths stored inside of it for changes. Files which have changed will be
rescanned and their updated hashes will be written to the hashfile. Deleted files
will be removed from the hashfile.
New files are only added to the hashfile if they are discoverable via the files
argument. For that reason you probably want to provide the same files list and -r
arguments on each run of duperemove. The file discovery algorithm is efficient and
will only visit each file once, even if it is already in the hashfile.
Adding a new path to a hashfile is as simple as adding it to the files argument.
When deduping from a hashfile, duperemove will avoid deduping files which have not
changed since the last dedupe.
-L Print all files in the hashfile and exit. Requires the --hashfile option. Will
print additional information about each file when run with -v.
-R [file]
Remove file from the db and exit. Can be specified multiple times. Duperemove will
read the list from standard input if a hyphen (-) is provided. Requires the
--hashfile option.
Note: If you are piping filenames from another duperemove instance it is advisable
to do so into a temporary file first as running duperemove simultaneously on the
same hashfile may corrupt that hashfile.
--fdupes
Run in fdupes mode. With this option you can pipe the output of fdupes to
duperemove to dedupe any duplicate files found. When receiving a file list in this
manner, duperemove will skip the hashing phase.
-v Be verbose.
--skip-zeroes
Read data blocks and skip any zeroed blocks, useful for speedup duperemove, but can
prevent deduplication of zeroed files.
-b size
Use the specified block size for reading file extents. Defaults to 128K.
--io-threads=N
Use N threads for I/O. This is used by the file hashing and dedupe stages. Default
is automatically detected based on number of host cpus.
--cpu-threads=N
Use N threads for CPU bound tasks. This is used by the duplicate extent finding
stage. Default is automatically detected based on number of host cpus.
Note: Hyperthreading can adversely affect performance of the extent finding stage.
If duperemove detects an Intel CPU with hyperthreading it will use half the number
of cores reported by the system for cpu bound tasks.
--dedupe-options=options
Comma separated list of options which alter how we dedupe. Prepend 'no' to an
option in order to turn it off.
[no]partial
Duperemove can often find more dedupe by comparing portions of extents to
each other. This can be a lengthy, CPU intensive task so it is turned off by
default.
The code behind this option is under active development and as a result the
semantics of the partial argument may change.
[no]same
Defaults to off. Allow dedupe of extents within the same file.
[no]fiemap
Defaults to on. Duperemove uses the fiemap ioctl during the dedupe stage to
optimize out already deduped extents as well as to provide an estimate of
the space saved after dedupe operations are complete.
Unfortunately, some versions of Btrfs exhibit extremely poor performance in
fiemap as the number of references on a file extent goes up. If you are
experiencing the dedupe phase slowing down or 'locking up' this option may
give you a significant amount of performance back.
Note: This does not turn off all usage of fiemap, to disable fiemap during
the file scan stage, you will also want to use the --lookup-extents=no
option.
[no]block
Deprecated.
--help Prints help text.
--lookup-extents=[yes|no]
Defaults to yes. Allows duperemove to skip checksumming some blocks by checking
their extent state.
--read-hashes=hashfile
This option is primarily for testing. See the --hashfile option if you want to use
hashfiles.
Read hashes from a hashfile. A file list is not required with this option. Dedupe
can be done if duperemove is run from the same base directory as is stored in the
hash file (basically duperemove has to be able to find the files).
--write-hashes=hashfile
This option is primarily for testing. See the --hashfile option if you want to use
hashfiles.
Write hashes to a hashfile. These can be read in at a later date and deduped from.
--debug
Print debug messages, forces -v if selected.
--hash-threads=N
Deprecated, see --io-threads above.
--hash=alg
You can choose between murmur3 and xxhash. The default is murmur3 as it is very
fast and can generate 128 bit digests for a very small chance of collision. Xxhash
may be faster but generates only 64 bit digests. Both hashes are fast enough that
the default should work well for the overwhelming majority of users.
--exclude=PATTERN
You an exclude certain files and folders from the deduplication process. This might
be benefical for skipping subvolume snapshot mounts, for instance. You need to
provide full path for exclusion. For example providing just a file name with a
wildcard i.e duperemove --exclude file-* won't ever match because internally
duperemove works with absolute paths. Another thing to keep in mind is that shells
usually expand glob pattern so the passed in pattern ought to also be quoted.
Taking everything into consideration the correct way to pass an exclusion pattern
is duperemove --exclude "/path/to/dir/file*" /path/to/dir
EXAMPLES
Simple Usage
Dedupe the files in directory /foo, recurse into all subdirectories. You only want to use
this for small data sets.
duperemove -dr /foo
Use duperemove with fdupes to dedupe identical files below directory foo.
fdupes -r /foo | duperemove --fdupes
Using Hashfiles
Duperemove can optionally store the hashes it calculates in a hashfile. Hashfiles have two
primary advantages - memory usage and re-usability. When using a hashfile, duperemove will
stream computed hashes to it, instead of main memory.
If Duperemove is run with an existing hashfile, it will only scan those files which have
changed since the last time the hashfile was updated. The files argument controls which
directories duperemove will scan for newly added files. In the simplest usage, you rerun
duperemove with the same parameters and it will only scan changed or newly added files -
see the first example below.
Dedupe the files in directory foo, storing hashes in foo.hash. We can run this command
multiple times and duperemove will only checksum and dedupe changed or newly added files.
duperemove -dr --hashfile=foo.hash foo/
Don't scan for new files, only update changed or deleted files, then dedupe.
duperemove -dr --hashfile=foo.hash
Add directory bar to our hashfile and discover any files that were recently added to foo.
duperemove -dr --hashfile=foo.hash foo/ bar/
List the files tracked by foo.hash.
duperemove -L --hashfile=foo.hash
FAQ
Is there an upper limit to the amount of data duperemove can process?
Duperemove v0.11 is fast at reading and cataloging data. Dedupe runs will be memory
limited unless the '--hashfile' option is used. '--hashfile' allows duperemove to
temporarily store duplicated hashes to disk, thus removing the large memory overhead and
allowing for a far larger amount of data to be scanned and deduped. Realistically though
you will be limited by the speed of your disks and cpu. In those situations where
resources are limited you may have success by breaking up the input data set into smaller
pieces.
When using a hashfile, duperemove will only store duplicate hashes in memory. During
normal operation then the hash tree will make up the largest portion of duperemove memory
usage. As of Duperemove v0.11 hash entries are 88 bytes in size. If you know the number of
duplicate blocks in your data set you can get a rough approximation of memory usage by
multiplying with the hash entry size.
Actual performance numbers are dependent on hardware - up to date testing information is
kept on the duperemove wiki (see below for the link).
How large of a hashfile will duperemove create?
Hashfiles are essentially sqlite3 database files with several tables, the largest of which
are the files and extents tables. Each extents table entry is about 72 bytes though that
may grow as features are added. The size of a files table entry depends on the file path
but a good estimate is around 270 bytes per file. The number of extents in a data set is
directly proportional to file fragmentation level.
If you know the total number of extents and files in your data set then you can calculate
the hashfile size as:
Hashfile Size = Num Hashes X 72 + Num Files X 270
Using a real world example of 1TB (8388608 128K blocks) of data over 1000 files:
8388608 * 72 + 270 * 1000 = 755244720 or about 720MB for 1TB spread over 1000 files.
Note that none of this takes database overhead into account.
Is is safe to interrupt the program (Ctrl-C)?
Yes, Duperemove uses a transactional database engine and organizes db changes to take
advantage of those features. The result is that you should be able to ctrl-c the program
at any point and re-run without experiencing corruption of your hashfile.
I got two identical files, why are they not deduped?
Duperemove by default works on extent granularity. What this means is if there are two
files which are logically identical (have the same content) but are laid out on disk with
different extent structure they won't be deduped. For example if 2 files are 128k each and
their content are identical but one of them consists of a single 128k extent and the other
of 2 x 64k extents then they won't be deduped. This behavior is dependent on the current
implementation and is subject to change as duperemove is being improved.
How can I find out my space savings after a dedupe?
Duperemove will print out an estimate of the saved space after a dedupe operation for you.
You can get a more accurate picture by running 'btrfs fi df' before and after each
duperemove run.
Be careful about using the 'df' tool on btrfs - it is common for space reporting to be
'behind' while delayed updates get processed, so an immediate df after deduping might not
show any savings.
Why is the total deduped data report an estimate?
At the moment duperemove can detect that some underlying extents are shared with other
files, but it can not resolve which files those extents are shared with.
Imagine duperemove is examing a series of files and it notes a shared data region in one
of them. That data could be shared with a file outside of the series. Since duperemove
can't resolve that information it will account the shared data against our dedupe
operation while in reality, the kernel might deduplicate it further for us.
Why are my files showing dedupe but my disk space is not shrinking?
This is a little complicated, but it comes down to a feature in Btrfs called _bookending_.
The Btrfs wiki explains this in detail: http://en.wikipedia.org/wiki/Btrfs#Extents.
Essentially though, the underlying representation of an extent in Btrfs can not be split
(with small exception). So sometimes we can end up in a situation where a file extent gets
partially deduped (and the extents marked as shared) but the underlying extent item is not
freed or truncated.
Is duperemove safe for my data?
Yes. To be specific, duperemove does not deduplicate the data itself. It simply finds
candidates for dedupe and submits them to the Linux kernel extent-same ioctl. In order to
ensure data integrity, the kernel locks out other access to the file and does a byte-by-
byte compare before proceeding with the dedupe.
What is the cost of deduplication?
Deduplication will lead to increased fragmentation. The blocksize chosen can have an
effect on this. Larger blocksizes will fragment less but may not save you as much space.
Conversely, smaller block sizes may save more space at the cost of increased
fragmentation.
NOTES
Deduplication is currently only supported by the btrfs and xfs filesystem.
The Duperemove project page can be found at https://github.com/markfasheh/duperemove
There is also a wiki at https://github.com/markfasheh/duperemove/wiki
SEE ALSO
hashstats(8) filesystems(5) btrfs(8) xfs(8) fdupes(1)