jdupes is a program for identifying and taking actions upon duplicate files.
A WORD OF WARNING: jdupes IS NOT a drop-in compatible replacement for
fdupes! Do not blindly replace fdupes with jdupes in scripts and expect
everything to work the same way. Option availability and meanings differ
between the two programs. For example, the
-I switch in jdupes means
"isolate" and blocks intra-argument matching, while in fdupes it means
"immediately delete files during scanning without prompting the user."
Please consider financially supporting continued developemnt of jdupes:
Why use jdupes instead of the original fdupes or other duplicate finders?
The biggest reason is raw speed. In testing on various data sets, jdupes is over 7 times faster than fdupes-1.51 on average.
jdupes provides a native Windows port. Most duplicate scanners built on Linux and other UNIX-like systems do not compile for Windows out-of-the-box and even if they do, they don't support Unicode and other Windows-specific quirks and features.
jdupes is generally stable. All releases of jdupes are compared against a known working reference versions of fdupes or jdupes to be certain that output does not change. You get the benefits of an aggressive development process without putting your data at increased risk.
Code in jdupes is written with data loss avoidance as the highest priority. If a choice must be made between being aggressive or careful, the careful way is always chosen.
jdupes includes features that are not always found elsewhere. Examples of
such features include block-level data deduplication and control over
which file is kept when a match set is automatically deleted. jdupes is
not afraid of dropping features of low value; a prime example is the
switch which outputs all matches in a set on one line, a feature which was
found to be useless in real-world tests and therefore thrown out.
While jdupes maintains some degree of compatibility with fdupes from which it was originally derived, there is no guarantee that it will continue to maintain such compatibility in the future. However, compatibility will be retained between minor versions, i.e. jdupes-1.6 and jdupes-1.6.1 should not have any significant differences in results with identical command lines.
If the program eats your dog or sets fire to your lawn, the authors cannot be held responsible. If you notice a bug, please report it.
What jdupes is not: a similar (but not identical) file finding tool
Please note that jdupes ONLY works on 100% exact matches. It does not have any sort of "similarity" matching, nor does it know anything about any specific file formats such as images or sounds. Something as simple as a change in embedded metadata such as the ID3 tags in an MP3 file or the EXIF information in a JPEG image will not change the sound or image presented to the user when opened, but technically it makes the file no longer identical to the original.
Plenty of excellent tools already exist to "fuzzy match" specific file types using knowledge of their file formats to help. There are no plans to add this type of matching to jdupes.
There are some match options available in jdupes that enable dangerous file
matching based on partial or likely but not 100% certain matching. These
are considered expert options for special situations and are clearly and
loudly documented as being dangerous. The
-T options are notable
examples, and the extreme danger of the
-T option is safeguarded by a
requirement to specify it twice so it can't be used accidentally.
How can I do stuff with jdupes that isn't supported by jdupes?
The standard output format of jdupes is extremely simple. Match sets are presented with one file path per line, and match sets are separated by a blank line. This is easy to process with fairly simple shell scripts. You can find example shell scripts in the "example scripts" directory in the jdupes source code. The main example script, "example.sh", is easy to modify to take basic actions on each file in a match set. These scripts are used by piping the standard jdupes output to them:
jdupes dir1 dir2 dir3 | example.sh scriptparameters
Usage: jdupes [options] DIRECTORY...
Duplicate file sets will be printed by default unless a different action option is specified (delete, summarize, link, dedupe, etc.)
-@ --loud output annoying low-level debug info while running -0 --printnull output nulls instead of CR/LF (like 'find -print0') -1 --one-file-system do not match files on different filesystems/devices -A --nohidden exclude hidden files from consideration -B --dedupe Send matches to filesystem for block-level deduplication -C --chunksize=# override I/O chunk size (min 4096, max 16777216) -d --delete prompt user for files to preserve and delete all others; important: under particular circumstances, data may be lost when using this option together with -s or --symlinks, or when specifying a particular directory more than once; refer to the documentation for additional information -D --debug output debug statistics after completion -f --omitfirst omit the first file in each set of matches -h --help display this help message -H --hardlinks treat any linked files as duplicate files. Normally linked files are treated as non-duplicates for safety -i --reverse reverse (invert) the match sort order -I --isolate files in the same specified directory won't match -j --json produce JSON (machine-readable) output -K --skiphash skip full file hashing (may be faster; 100% safe) -l --linksoft make relative symlinks for duplicates w/o prompting -L --linkhard hard link all duplicate files without prompting Windows allows a maximum of 1023 hard links per file -m --summarize summarize dupe information -M --printwithsummary will print matches and --summarize at the end -N --noprompt together with --delete, preserve the first file in each set of duplicates and delete the rest without prompting the user -o --order=BY select sort order for output, linking and deleting; by -O --paramorder Parameter order is more important than selected -O sort mtime (BY=time) or filename (BY=name, the default) -p --permissions don't consider files with different owner/group or permission bits as duplicates -P --print=type print extra info (partial, early, fullhash) -q --quiet hide progress indicator -Q --quick skip byte-by-byte duplicate verification. WARNING: this may delete non-duplicates! Read the manual first! -r --recurse for every directory, process its subdirectories too -R --recurse: for each directory given after this option follow subdirectories encountered within (note the ':' at the end of the option, manpage for more details) -s --symlinks follow symlinks -S --size show size of duplicate files -t --nochangecheck disable security check for file changes (aka TOCTTOU) -T --partial-only match based on partial hashes only. WARNING: EXTREMELY DANGEROUS paired with destructive actions! -T must be specified twice to work. Read the manual! -v --version display jdupes version and license information -x --xsize=SIZE exclude files of size < SIZE bytes from consideration --xsize=+SIZE '+' specified before SIZE, exclude size > SIZE -X --extfilter=spec:x filter files based on specified criteria specs: size+-= Filters are cumulative: -X spec:ab -X spec:cd -X --exclude=spec:info exclude files based on specified criteria specs: size+-= Exclusions are cumulative: -X dir:abc -X dir:efg -z --zeromatch consider zero-length files to be duplicates -Z --softabort If the user aborts (i.e. CTRL-C) act on matches so far You can send SIGUSR1 to the program to toggle this
For sizes, K/M/G/T/P/E[B|iB] suffixes can be used (case-insensitive)
-nochangecheck option disables file change checks during/after
scanning. This opens a security vulnerability that is called a TOCTTOU (time
of check to time of use) vulnerability. The program normally runs checks
immediately before scanning or taking action upon a file to see if the file
has changed in some way since it was last checked. With this option enabled,
the program will not run any of these checks, making the algorithm slightly
faster, but also increasing the risk that the program scans a file, the file
is changed after the scan, and the program still acts like the file was in
its previous state. This is particularly dangerous when considering actions
such as linking and deleting. In the most extreme case, a file could be
deleted during scanning but match other files prior to that deletion; if the
file is the first in the list of duplicates and auto-delete is used, all of
the remaining matched files will be deleted as well. This option was added
due to user reports of some filesystems (particularly network filesystems)
changing the reported file information inappropriately, rendering the entire
program unusable on such filesystems.
--noempty option was removed for safety. Matching zero-length files as
duplicates now requires explicit use of the
--zeromatch option instead.
Duplicate files are listed together in groups with each file displayed on a separate line. The groups are then separated from each other by blank lines.
--symlinks option will treat symlinked files as regular files, but
direct symlinks will be treated as if they are hard linked files and the
-H/--hardlinks option will apply to them in the same manner.
--delete, care should be taken to insure against accidental
data loss. While no information will be immediately lost, using this option
--symlink can lead to confusing information being
presented to the user when prompted for files to preserve. Specifically, a
user could accidentally preserve a symlink while deleting the file it points
to. A similar problem arises when specifying a particular directory more
than once. All files within that directory will be listed as their own
duplicates, leading to data loss should a user preserve a file without its
"duplicate" (the file itself!)
--one-file-system prevents matches that cross filesystems, but a
more relaxed form of this option may be added that allows cross-matching for
all filesystems that each parameter is present on.
--softabort used to be
--hardabort in jdupes prior to v1.5 and had the
opposite behavior. Defaulting to taking action on abort is probably not what
most users would expect. The decision to invert rather than reassign to a
different option was made because this feature was still fairly new at the
time of the change.
On non-Windows platforms that support SIGUSR1, you can toggle the state of
-Z option by sending a SIGUSR1 to the program. This is handy if you want
to abort jdupes, didn't specify
-Z, and changed your mind and don't want to
lose all the work that was done so far. Just do '
killall -USR1 jdupes' and
you wll be able to abort with
-Z. This works in reverse: if you want to
-Z from happening, a SIGUSR1 will toggle it back off. That's a lot
less useful because you can just stop and kill the program to get the same
effect, but it's there if you want it for some reason. Sending the signal
twice while the program is stopped will behave as if it was only sent once,
as per normal POSIX signal behavior.
--paramorder option allows the user greater control over what
appears in the first position of a match set, specifically for keeping the
option from deleting all but one file in a set in a seemingly random way. All
directories specified on the command line will be used as the sorting order
of result sets first, followed by the sorting algorithm set by the
--order option. This means that the order of all match pairs for a single
directory specification will retain the old sorting behavior even if this
option is specified.
When used together with options
--symlink, a user could accidentally
preserve a symlink while deleting the file it points to.
--quick option only reads each file once, hashes it, and performs
comparisons based solely on the hashes. There is a small but significant risk
of a hash collision which is the purpose of the failsafe byte-for-byte
comparison that this option explicitly bypasses. Do not use it on ANY data
set for which any amount of data loss is unacceptable. You have been warned!
--partial-only option produces results based on a hash of the first
block of file data in each file, ignoring everything else in the file.
Partial hash checks have always been an important exclusion step in the
jdupes algorithm, usually hashing the first 4096 bytes of data and allowing
files that are different at the start to be rejected early. In certain
scenarios it may be a useful heuristic for a user to see that a set of files
has the same size and the same starting data, even if the remaining data does
not match; one example of this would be comparing files with data blocks that
are damaged or missing such as an incomplete file transfer or checking a data
recovery against known-good copies to see what damaged data can be deleted in
favor of restoring the known-good copy. This option is meant to be used with
informational actions and can result in EXTREME DATA LOSS if used with
options that delete files, create hard links, or perform other destructive
actions on data based on the matching output. Because of the potential for
massive data destruction, this option MUST BE SPECIFIED TWICE to take effect
and will error out if it is only specified once.
--isolate option attempts to block matches that are contained in
the same specified directory parameter on the command line. Due to the
underlying nature of the jdupes algorithm, a lot of matches will be
blocked by this option that probably should not be. This code could use
--chunksize option overrides the size of the I/O "chunk" used for all
file operations. Larger numbers will increase the amount of data read at
once from each file and may improve performance when scanning lots of files
that are larger than the default chunk size by reducing "thrashing" of the
hard disk heads. Smaller numbers may increase algorithm speed depending on
the characteristics of your CPU but will usually increase I/O and system
call overhead as well. The nubmer also directly affects memory usage: I/O
chunk size is used for at least three allocations in the program, so using
a chunk size of 16777216 (16 MiB) will require 48 MiB of RAM. The default
is usually between 32768 and 65536 which results in the fastest raw speed
of the algorithm and generally good all-around performance. Feel free to
experiment with the number on your data set and report your experiences
(preferably with benchmarks and info on your data set.)
Hard and soft (symbolic) linking status symbols and behavior
A set of arrows are used in file linking to show what action was taken on each link candidate. These arrows are as follows:
----> File was hard linked to the first file in the duplicate chain
-@@-> File was symlinked to the first file in the chain
-==-> Already a hard link to the first file in the chain
-//-> File linking failed due to an error during the linking process
If your data set has linked files and you do not use
-H to always consider
them as duplicates, you may still see linked files appear together in match
sets. This is caused by a separate file that matches with linked files
independently and is the correct behavior. See notes below on the "triangle
problem" in jdupes for technical details.
Microsoft Windows platform-specific notes
Windows has a hard limit of 1024 hard links per file. There is no way to change this. The documentation for CreateHardLink() states: "The maximum number of hard links that can be created with this function is 1023 per file. If more than 1023 links are created for a file, an error results." (The number is actually 1024, but they're ignoring the first file.)
The current jdupes algorithm's "triangle problem"
Pairs of files are excluded individually based on how the two files compare.
For example, if
--hardlinks is not specified then two files which are hard
linked will not match one another for duplicate scanning purposes. The
problem with only examining files in pairs is that certain circumstances
will lead to the exclusion being overridden.
Let's say we have three files with identical contents:
a/file1 a/file2 a/file3
a/file1 is linked to
a/file3. Here's how
jdupes a/ sees them:
Are 'a/file1' and 'a/file2' matches? Yes [point a/file1->duplicates to a/file2] Are 'a/file1' and 'a/file3' matches? No (hard linked already, `-H` off) Are 'a/file2' and 'a/file3' matches? Yes [point a/file2->duplicates to a/file3]
Now you have the following duplicate list:
a/file1->duplicates ==> a/file2->duplicates ==> a/file3
The solution is to split match sets into multiple sets, but doing this will also remove the guarantee that files will only ever appear in one match set and could result in data loss if handled improperly. In the future, options for "greedy" and "sparse" may be introduced to switch between allowing triangle matches to be in the same set vs. splitting sets after matching finishes without the "only ever appears once" guarantee.
Does jdupes meet the "Good Practice when Deleting Duplicates" by rmlint?
Yes. If you've not read this list of cautions, it is available at http://rmlint.readthedocs.io/en/latest/cautions.html
Here's a breakdown of how jdupes addresses each of the items listed.
"Backup your data"/"Measure twice, cut once"
These guidelines are for the user of duplicate scanning software, not the software itself. Back up your files regularly. Use jdupes to print a list of what is found as duplicated and check that list very carefully before automatically deleting the files.
"Beware of unusual filename characters"
The only character that poses a concern in jdupes is a newline
that is only a problem because the duplicate set printer uses them to
separate file names. Actions taken by jdupes are not parsed like a
command line, so spaces and other weird characters in names aren't a
problem. Escaping the names properly if acting on the printed output is a
problem for the user's shell script or other external program.
"Consider safe removal options"
This is also an exercise for the user.
jdupes tracks each directory traversed by dev:inode pair to avoid adding the contents of the same directory twice. This prevents the user from being able to register all of their files twice by duplicating an entry on the command line. Symlinked directories are only followed if they weren't already followed earlier. Files are renamed to a temporary name before any linking is done and if the link operation fails they are renamed back to the original name.
jdupes uses jodyhash for file data hashing. This hash is extremely fast with a low collision rate, but it still encounters collisions as any hash function will ("secure" or otherwise) due to the pigeonhole principle. This is why jdupes performs a full-file verification before declaring a match. It's slower than matching by hash only, but the pigeonhole principle puts all data sets larger than the hash at risk of collision, meaning a false duplicate detection and data loss. The slower completion time is not as important as data integrity. Checking for a match based on hashes alone is irresponsible, and using secure hashes like MD5 or the SHA families is orders of magnitude slower than jodyhash while still suffering from the risk brought about by the pigeonholing. An example of this problem is as follows: if you have 365 days in a year and 366 people, the chance of having at least two birthdays on the same day is guaranteed; likewise, even though SHA512 is a 512-bit (64-byte) wide hash, there are guaranteed to be at least 256 pairs of data streams that causes a collision once any of the data streams being hashed for comparison is 65 bytes (520 bits) or larger.
"Unusual Characters Robustness"
jdupes does not protect the user from putting ASCII control characters in their file names; they will mangle the output if printed, but they can still be operated upon by the actions (delete, link, etc.) in jdupes.
"Seek Thrash Robustness"
jdupes uses an I/O chunk size that is optimized for reading as much as possible from disk at once to take advantage of high sequential read speeds in traditional rotating media drives while balancing against the significantly higher rate of CPU cache misses triggered by an excessively large I/O buffer size. Enlarging the I/O buffer further may allow for lots of large files to be read with less head seeking, but the CPU cache misses slow the algorithm down and memory usage increases to hold these large buffers. jdupes is benchmarked periodically to make sure that the chosen I/O chunk size is the best compromise for a wide variety of data sets.
"Memory Usage Robustness"
This is a very subjective concern considering that even a cell phone in someone's pocket has at least 1GB of RAM, however it still applies in the embedded device world where 32MB of RAM might be all that you can have. Even when processing a data set with over a million files, jdupes memory usage (tested on Linux x86_64 with -O3 optimization) doesn't exceed 2GB. A low memory mode can be chosen at compile time to reduce overall memory usage with a small performance penalty.
For all jdupes inquiries, contact Jody Bruchon email@example.com Please DO NOT contact Adrian Lopez about issues with jdupes.
Legal information and software license
jdupes is Copyright (C) 2015-2020 by Jody Bruchon firstname.lastname@example.org Derived from the original 'fdupes' 1.51 (C) 1999-2014 by Adrian Lopez Includes other code libraries which are (C) 2015-2020 by Jody Bruchon
The MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.