Provided by: duperemove_0.11.1-3_amd64
duperemove - Find duplicate extents and print them to stdout
duperemove [options] files...
duperemove is a simple tool for finding duplicated extents and submitting them for deduplication. When given a list of files it will hash their contents on a block by block basis 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.
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. The output could also be used by some other software to submit the extents for deduplication at a later time. It is important to note that this mode will not print out all instances of matching extents, just those it would consider for deduplication. 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. 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.
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 (experimental). -A Opens files readonly when deduping; currently requires root privileges (and is enabled by default for root). Allows use on readonly snapshots or when the file might be open for exec. -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. Raising the block size will consume less memory but may miss some duplicate blocks. Conversely, lowering the blocksize consumes more memory and may find more duplicate blocks. The default blocksize of 128K was chosen with these parameters in mind. --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]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 Defaults to off. Dedupe by block - don't optimize our data into extents before dedupe. Generally this is undesirable as it will greatly increase the total number of dedupe requests. There is also a larger potential for file fragmentation. --help Prints help text. --lookup-extents=[yes|no] Defaults to no. Allows duperemove to skip checksumming some blocks by checking their extent state. -x Don't cross filesystem boundaries, this is the default behavior since duperemove v0.11. The option is kept for backwards compatibility. --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.
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
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 hashes tables. Each hashes table entry is under 90 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. If you know the total number of blocks and files in your data set then you can calculate the hashfile size as: Hashfile Size = Num Hashes X 90 + Num Files X 270 Using a real world example of 1TB (8388608 128K blocks) of data over 1000 files: 8388608 * 90 + 270 * 1000 = 755244720 or about 720MB for 1TB spread over 1000 files. 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. 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.
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
hashstats(8) filesystems(5) btrfs(8) xfs(8) fdupes(1)