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imagepile: a disk image block-level de-duplication tool (C) 2014-2023 by Jody Bruchon <firstname.lastname@example.org> ------------------------------------------------------- Any sufficiently sophisticated computer service department knows the value of disk imaging. The ability to take a snapshot of a working system has been an invaluable tool for decades. Unfortunately, disk images take up a lot of disk space--even if they are compressed. Disk images containing lots of identical data (i.e. two disk images containing the same operating system version) tend to result in massive amounts of unnecessarily duplicated data. This is okay if there are only a few images and if those images are relatively small, but there are many situations where more than "a few" images may be necessary. Taking snapshots of multiple computers in a small business that are mostly identical while serving different purposes and using different software is one such situation; maintaining "bare" and "full" images that contain just an OS and the OS plus a standard set of installed programs is another. 'imagepile' solves the problem of massively duplicated data between raw disk images. When you add an image to the "image pile," this program checks them block-by-block against all of the blocks previously stored there, including previous blocks from the same image. If the blocks are identical, no new data is stored in the pile to store that block. This can result in staggering disk space savings because the only data that can expand the image pile database is unique data, and many disk images tend to have large amounts of repeated blocks throughout. Image data is stored in three separate files: * A database "imagepile.ddb" stores all of the raw data blocks, * A hash index "imagepile.hdb" stores the hashes for data blocks, and * Various "*.ipil" files store the DB block offsets that make up the image. 'imagepile' operates on blocks that are 4,096 bytes (4 KiB) in size by default. This number was chosen because Advanced Format hard drives and most modern filesystems (NTFS and practically every Linux filesystem) are all oriented around physical and logical blocks of this size or a multiple of this size. Because of the fact that Windows prior to Windows Vista would partition drives in such a way as to be compatible with ancient C/H/S drive geometry standards and those modes of partitioning frequently would cause an entire drive's first partition to start on a sector boundary indivisible by 4,096 bytes, imagepile supports the addition of image data with an offset that will artificially pad the input data to align it correctly. The hash index is not necessary for the sole purpose of reading image data out of the image database (though it is mandatory for adding more data). To build, first get libjodycode and build it beside the imagepile directory (if you have ./imagepile/ then build in ./libjodycode/) and then build imagepile this way: make USE_NEARBY_JC=1 static_jc
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