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Overhaul documentation part #1

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Detect and handle uncompressed PDF files using libbsc.
Force binary/text data detection for tar archives.
Get rid of unnecessary CLI option.
Add full pipeline mode check when archiving.
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Moinak Ghosh 2013-12-30 23:24:37 +05:30
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README.md
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@ -6,31 +6,32 @@ Use is subject to license terms.
moinakg (_at) gma1l _dot com.
Comments, suggestions, code, rants etc are welcome.
Pcompress is a utility to do compression and decompression in parallel by
splitting input data into chunks. It has a modular structure and includes
support for multiple algorithms like LZMA, Bzip2, PPMD, etc, with SKEIN/
SHA checksums for data integrity. It can also do Lempel-Ziv pre-compression
(derived from libbsc) to improve compression ratios across the board. SSE
optimizations for the bundled LZMA are included. It also implements
Variable Block Deduplication and Delta Compression features based on a
Semi-Rabin Fingerprinting scheme. Delta Compression is done via the widely
popular bsdiff algorithm. Similarity is detected using a technique based
on MinHashing. When doing Dedupe it attempts to merge adjacent non-
duplicate block index entries into a single larger entry to reduce metadata.
In addition to all these it can internally split chunks at rabin boundaries
to help Dedupe and compression.
Pcompress is an archiver that also does compression and decompression in
parallel by splitting input data into chunks. It has a modular structure
and includes support for multiple algorithms like LZMA, Bzip2, PPMD, etc,
with SKEIN/SHA checksums for data integrity. Compression algorithms are
selected based on the file type to maximize compression gains using a file
and data anaylis based adaptive technique. It also includes various data
transformation filters to improve compression.
It also implements Variable Block Deduplication and Delta Compression
features based on a Polynomial Fingerprinting scheme. Delta Compression
is done via the widely popular bsdiff algorithm. Similarity is detected
using a technique based on MinHashing. Deduplication metadata is also
compressed to reduce overheads. In addition to all these it can internally
split chunks at file and rabin boundaries to help Dedupe and compression.
It has low metadata overhead and overlaps I/O and compression to achieve
maximum parallelism. It also bundles a simple slab allocator to speed
repeated allocation of similar chunks. It can work in pipe mode, reading
from stdin and writing to stdout. It also provides adaptive compression
modes in which data analysis heuristics are used to identify near-optimal
algorithms per chunk. Finally it supports 14 compression levels to allow
for ultra compression parameters in some algorithms.
from stdin and writing to stdout. SIMD vector optimizations using the x86
SSE instruction set are used to speed up various operations. Finally it
supports 14 compression levels to allow for ultra compression parameters
in some algorithms.
Pcompress also supports encryption via AES and uses Scrypt from Tarsnap
for Password Based Key generation. A unique key is generated per session
even if the same password is used and HMAC is used to do authentication.
Pcompress also supports encryption via AES, Salsa20 and uses Scrypt from
Tarsnap for Password Based Key generation. A unique key is generated per
session even if the same password is used and HMAC is used to do authentication.
Links of Interest
=================
@ -49,59 +50,229 @@ http://moinakg.wordpress.com/2013/06/11/architecture-for-a-deduplicated-archival
http://moinakg.wordpress.com/2013/06/15/architecture-for-a-deduplicated-archival-store-part-2/
Usage
=====
Standard Usage
==============
Standard usage consists of a few common options to control basic behavior. A variety of
parameters including global deduplication are automatically set based on the compression
level.
To compress a file:
pcompress -c <algorithm> [-l <compress level>] [-s <chunk size>] <file> [<target file>]
Archiving
---------
pcompress -a [-v] [-l <compress level>] [-s <chunk size>] [-c <algorithm>]
[<file1> <directory1> <file2> ...] [-t <number>] [-S <chunk checksum>]
<archive filename or '-'>
Where <algorithm> can be the folowing:
lzfx - Very fast and small algorithm based on LZF.
lz4 - Ultra fast, high-throughput algorithm reaching RAM B/W at level1.
zlib - The base Zlib format compression (not Gzip).
lzma - The LZMA (Lempel-Ziv Markov) algorithm from 7Zip.
lzmaMt - Multithreaded version of LZMA. This is a faster version but
uses more memory for the dictionary. Thread count is balanced
between chunk processing threads and algorithm threads.
bzip2 - Bzip2 Algorithm from libbzip2.
ppmd - The PPMd algorithm excellent for textual data. PPMd requires
at least 64MB X core-count more memory than the other modes.
Archives a given set of files and/or directories into a compressed PAX archive. The
PAX datastream is encoded into a custom format compressed file that can only be
handled by Pcompress.
libbsc - A Block Sorting Compressor using the Burrows Wheeler Transform
like Bzip2 but runs faster and gives better compression than
Bzip2 (See: libbsc.com).
-a Enables archive mode where pathnames specified in the command line are
archived using LibArchive and then compressed.
adapt - Adaptive mode where ppmd or bzip2 will be used per chunk,
depending on heuristics. If at least 50% of the input data is
7-bit text then PPMd will be used otherwise Bzip2.
adapt2 - Adaptive mode which includes ppmd and lzma. If at least 80% of
the input data is 7-bit text then PPMd will be used otherwise
LZMA. It has significantly more memory usage than adapt.
none - No compression. This is only meaningful with -D and -E so Dedupe
can be done for post-processing with an external utility.
-l <compress level>
Select a compression level from 1 (least compression, fastest) to 14
(ultra compression, slow). Default: 6
<chunk_size> - This can be in bytes or can use the following suffixes:
g - Gigabyte, m - Megabyte, k - Kilobyte.
Larger chunks produce better compression at the cost of memory.
In case of Global Deduplication (see below) this chunk size is
just a hint and may get automatically adjusted.
<compress_level> - Can be a number from 0 meaning minimum and 14 meaning
maximum compression.
<target file> - Optional argument specifying the destination compressed
file. The '.pz' extension is appended. If this is '-' then
compressed output goes to stdout. If this argument is omitted then
source filename is used with the extension '.pz' appended.
-s <chunk size>
Archive data is split into chunks that are processed in parallel. This value
specifies the maximum chunk size. Blocks may be smaller than this. Values
can be in bytes or <number><suffix> format where suffix can be k - KB, m - MB,
g - GB. Default: 8m
Larger chunks can produce better compression at the cost of memory.
To decompress a file compressed using above command:
pcompress -d <compressed file> <target file>
<compressed file> can be '-' to indicate reading from stdin while write goes
to <target file>
-c <algorithm>
Specifies the compression algorithm to use. Default algorithm when archiving
is adapt2 (Second Adaptive Mode). This is the ideal mode for archiving giving
best compression gains. However adapt (Adaptive Mode) can be used which is a
little faster but give lower compression gains.
Other algorithms can be used if all the files are of the same known type. For
example ppmd (slow) or libbsc (fast) can be used if all the files only have
ASCII text. See section "Compression Algorithms" for details.
To operate as a full pipe, read from stdin and write to stdout:
pcompress -p ...
-v Enables verbose mode where each file/directory is printed as it is processed.
Attempt Rabin fingerprinting based deduplication on a per-chunk basis:
-t <number>
Sets the number of threads that Pcompress can use. Pcompress automatically
uses thread count = core count. However with larger chunk size (-s option)
and/or ultra compression levels, large amounts of memory can be used. In this
case thread count can be reduced to reduce memory consumption.
-S <chunk checksum>
Specify then chunk checksum to use. Default: BLAKE256. The following checksums
are available:
CRC64 - Extremely Fast 64-bit CRC from LZMA SDK.
SHA256 - SHA512/256 version of Intel's optimized (SSE,AVX) SHA2 for x86.
SHA512 - SHA512 version of Intel's optimized (SSE,AVX) SHA2 for x86.
KECCAK256 - Official 256-bit NIST SHA3 optimized implementation.
KECCAK512 - Official 512-bit NIST SHA3 optimized implementation.
BLAKE256 - Very fast 256-bit BLAKE2, derived from the NIST SHA3
runner-up BLAKE.
BLAKE512 - Very fast 256-bit BLAKE2, derived from the NIST SHA3
runner-up BLAKE.
The fastest checksum is the BLAKE2 family.
<archive filename>
Pathname of the resulting archive. A '.pz' extension is automatically added
if not already present. This can also be specified as '-' in order to send
the compressed archive stream to stdout.
Single File Compression
-----------------------
pcompress -c <algorithm> [-l <compress level>] [-s <chunk size>] [-p] [<file>]
[-t <number>] [-S <chunk checksum>] [<target file or '-'>]
Takes a single file as input and produces a compressed file. Archiving is not performed.
This can also work as compression pipeline.
-c <algorithm>
See above. Also see section "Compression Algorithms" for details.
-l <compress level>
-s <chunk size>
-t <number>
-S <chunk checksum>
See above.
Note: In singe file compression mode with adapt2 or adapt algorithm, larger
chunks may not produce better compression. Smaller chunks can result
in better data analysis here.
-p Make Pcompress work in full pipeline mode. Data is ingested via stdin
compressed and output via stdout. No filenames are used.
<target file>
Pathname of the compressed file to be created. This can be '-' to send the
compressed data to stdout.
Decompression and Archive extraction
------------------------------------
pcompress -d <compressed file or '-'> [-m] [-K] [<target file or directory>]
-m Enable restoring *all* permissions, ACLs, Extended Attributes etc.
Equivalent to the '-p' option in tar. Ownership is only extracted if run as
root user.
-K Do not overwrite newer files.
-m and -K are only meaningful if the compressed file is an archive. For single file
compressed mode these options are ignored.
<compressed file>
Specifies the compressed file or archive. This can be '-' to indicate reading
from stdin while write goes to <target file>
<target file or directory>
This can be a filename or a directory depending on how the archive was created.
If single file compression was used then this can be the name of the target
file that will hold the uncompressed data.
If this is omitted then an output file is created by appending '.out' to the
compressed filename.
If Archiving was done then this should be the name of a directory into which
extracted files are restored. The directory is created if it does not exist.
If this is omitted the files are extracted into the current directory.
Compression Algorithms
======================
lzfx - Fast, average compression. At high compression levels this can be faster
than LZ4.
Effective Levels: 1 - 5
lz4 - Very Fast, sometimes better compression than LZFX.
Effective Levels: 1 - 3
zlib - Fast, better compression.
Effective Levels: 1 - 9
bzip2 - Slow, much better compression than Zlib.
Effective Levels: 1 - 9
lzma - Very slow. Extreme compression. Recommended: Use lzmaMt variant mentioned
below.
Effective Levels: 1 - 14
Till level 9 it is standard LZMA parameters. Levels 10 - 12 use
more memory and higher match iterations so are slower. Levels
13 and 14 use larger dictionaries upto 256MB and really suck up
RAM. Use these levels only if you have at the minimum 4GB RAM on
your system.
lzmaMt - This is the multithreaded variant of lzma and typically runs faster.
However in a few cases this can produce slightly lesser compression
gain.
PPMD - Slow. Extreme compression for Text, average compression for binary.
In addition PPMD decompression time is also high for large chunks.
This requires lots of RAM similar to LZMA. PPMd requires
at least 64MB X core-count more memory than the other modes.
Effective Levels: 1 - 14.
Adapt - Synthetic mode with text/binary detection. For pure text data PPMD is
used otherwise Bzip2 is selected per chunk.
Effective Levels: 1 - 14
Adapt2 - Slower synthetic mode. For pure text data PPMD is otherwise LZMA is
applied. Can give very good compression ratio when splitting file
into multiple chunks.
Effective Levels: 1 - 14
Since both LZMA and PPMD are used together memory requirements are
large especially if you are also using extreme levels above 10. For
example with 100MB chunks, Level 14, 2 threads and with or without
dedupe, it uses upto 2.5GB physical RAM (RSS).
none - No compression. This is only meaningful with -G or -D. So Dedupe
can be done for post-processing with an external utility.
Enabled features based on Compression Level
===========================================
1 to 3 - No features, just compression and archiving, if needed.
4 - Global Deduplication with avg block size of 8KB.
5 - Global Dedup block size 8KB, Adaptive Delta Encoding.
6 to 8 - Global Dedup block size reduced to 4KB, Adaptive Delta Encoding.
9 - Global Dedup block size reduced to 2KB, Adaptive Delta Encoding, Dispack.
10 - Global Dedup block size 2KB, Adaptive Delta Encoding with extra rounds, Dispack,
LZP Preprocessing
10 - 14 - Global Dedup block size 2KB, Adaptive Delta Encoding with extra rounds, Dispack,
LZP Preprocessing, PackJPG filter for Jpegs.
Encryption
==========
Pcompress supports encryption and authentication in both archive and single-file
compresion modes. Encryption options are discussed below.
NOTE: When using pipe-mode via -p the only way to provide a password is to use '-w'.
See below.
-e <ALGO>
Encrypt chunks using the given encryption algorithm. The algo parameter
can be one of AES or SALSA20. Both are used in CTR stream encryption
mode.
The password can be prompted from the user or read from a file. Unique
keys are generated every time pcompress is run even when giving the same
password. Of course enough info is stored in the compresse file so that
the key used for the file can be re-created given the correct password.
Default key length if 256 bits but can be reduced to 128 bits using the
'-k' option.
The Scrypt algorithm from Tarsnap is used
(See: http://www.tarsnap.com/scrypt.html) for generating keys from
passwords. The CTR mode AES mechanism from Tarsnap is also utilized.
-w <pathname>
Provide a file which contains the encryption password. This file must
be readable and writable since it is zeroed out after the password is
read.
-k <key length>
Specify the key length. Can be 16 for 128 bit keys or 32 for 256 bit
keys. Default value is 32 for 256 bit keys.
Advanced usage
==============
A variety of advanced options are provided if one wishes fine grained control
as opposed to automatic settings. If advanced options are used then auto-setting
of parameters get disabled. The various advanced options are discussed below.
Attempt Polynomial fingerprinting based deduplication on a per-chunk basis:
pcompress -D ...
Perform Delta Encoding in addition to Identical Dedup:
@ -114,233 +285,143 @@ Usage
effect greater final compression ratio at the cost of
higher processing overhead.
Number of threads can optionally be specified: -t <1 - 256 count>
Other flags:
'-L' - Enable LZP pre-compression. This improves compression ratio of all
algorithms with some extra CPU and very low RAM overhead. Using
delta encoding in conjunction with this may not always be beneficial.
However Adaptive Delta Encoding is beneficial along with this.
-L Enable LZP pre-compression. This improves compression ratio of all
algorithms with some extra CPU and very low RAM overhead. Using
delta encoding in conjunction with this may not always be beneficial.
However Adaptive Delta Encoding is beneficial along with this.
'-P' - Enable Adaptive Delta Encoding. It can improve compresion ratio further
for data containing tables of numerical values especially if those are
in an arithmetic series. In this implementation basic Delta Encoding is
combined with Run-Length encoding and Matrix transpose
NOTE - Both -L and -P can be used together to give maximum benefit on most
datasets.
-P Enable Adaptive Delta Encoding. It can improve compresion ratio further
for data containing tables of numerical values especially if those are
in an arithmetic series. In this implementation basic Delta Encoding is
combined with Run-Length encoding and Matrix transpose
NOTE - Both -L and -P can be used together to give maximum benefit on most
datasets.
'-S' <cksum>
- Specify chunk checksum to use:
-F Perform Fixed Block Deduplication. This is faster than fingerprinting
based content-aware deduplication in some cases. However this is mostly
usable for disk dumps especially virtual machine images. This generally
gives lower dedupe ratio than content-aware dedupe (-D) and does not
support delta compression.
CRC64 - Extremely Fast 64-bit CRC from LZMA SDK.
SHA256 - SHA512/256 version of Intel's optimized (SSE,AVX) SHA2 for x86.
SHA512 - SHA512 version of Intel's optimized (SSE,AVX) SHA2 for x86.
KECCAK256 - Official 256-bit NIST SHA3 optimized implementation.
KECCAK512 - Official 512-bit NIST SHA3 optimized implementation.
BLAKE256 - Very fast 256-bit BLAKE2, derived from the NIST SHA3
runner-up BLAKE.
BLAKE512 - Very fast 256-bit BLAKE2, derived from the NIST SHA3
runner-up BLAKE.
'-F' - Perform Fixed Block Deduplication. This is faster than fingerprinting
based content-aware deduplication in some cases. However this is mostly
usable for disk dumps especially virtual machine images. This generally
gives lower dedupe ratio than content-aware dedupe (-D) and does not
support delta compression.
'-B' <0..5>
- Specify an average Dedupe block size. 0 - 2K, 1 - 4K, 2 - 8K ... 5 - 64K.
Default deduplication block size is 4KB for Global Deduplication and 2KB
otherwise.
'-B' 0
- This uses blocks as small as 2KB for deduplication. This option can be
used for datasets of a few GBs to a few hundred TBs in size depending on
available RAM.
-B <0..5>
Specify an average Dedupe block size. 0 - 2K, 1 - 4K, 2 - 8K ... 5 - 64K.
Default deduplication block size is 4KB for Global Deduplication and 2KB
otherwise.
-B 0
This uses blocks as small as 2KB for deduplication. This option can be
used for datasets of a few GBs to a few hundred TBs in size depending on
available RAM.
Caveats:
In some cases like LZMA with extreme compression levels and with '-L' and
'-P' preprocessing enabled, this can result in lower compression as compared
to using '-B 1'.
For fast compression algorithms like LZ4 and Zlib this should always benefit.
However please test on your sample data with your desired compression
algorithm to verify the results.
-M Display memory allocator statistics.
-C Display compression statistics.
'-M' - Display memory allocator statistics
'-C' - Display compression statistics
Global Deduplication
--------------------
-G This flag enables Global Deduplication. This makes pcompress maintain an
in-memory index to lookup cryptographic block hashes for duplicates. Once
a duplicate is found it is replaced with a reference to the original block.
This allows detecting and eliminating duplicate blocks across the entire
dataset. In contrast using only '-D' or '-F' flags does deduplication only
within the chunk but uses less memory and is much faster than Global Dedupe.
Global Deduplication:
'-G' - This flag enables Global Deduplication. This makes pcompress maintain an
in-memory index to lookup cryptographic block hashes for duplicates. Once
a duplicate is found it is replaced with a reference to the original block.
This allows detecting and eliminating duplicate blocks across the entire
dataset. In contrast using only '-D' or '-F' flags does deduplication only
within the chunk but uses less memory and is much faster than Global Dedupe.
The '-G' flag can be combined with either '-D' or '-F' flags to indicate
rabin chunking or fixed chunking respectively. If these flags are not
specified then the default is to assume rabin chunking via '-D'.
All other Dedupe flags have the same meanings in this context.
The '-G' flag can be combined with either '-D' or '-F' flags to indicate
rabin chunking or fixed chunking respectively. If these flags are not
specified then the default is to assume rabin chunking via '-D'.
All other Dedupe flags have the same meanings in this context.
Delta Encoding is not supported with Global Deduplication at this time. The
in-memory hashtable index can use upto 75% of free RAM depending on the size
of the dataset. In Pipe mode the index will always use 75% of free RAM since
the dataset size is not known. This is the simple full block index mode. If
the available RAM is not enough to hold all block checksums then older block
entries are discarded automatically from the matching hash slots.
Delta Encoding is not supported with Global Deduplication at this time. The
in-memory hashtable index can use upto 75% of free RAM depending on the size
of the dataset. In Pipe mode the index will always use 75% of free RAM since
the dataset size is not known. This is the simple full block index mode. If
the available RAM is not enough to hold all block checksums then older block
entries are discarded automatically from the matching hash slots.
If pipe mode is not used and the given dataset is a file then Pcompress
checks whether the index size will exceed three times of 75% of the available
free RAM. In such a case it automatically switches to a Segmented Deduplication
mode. Here data is first split into blocks as above. Then upto 2048 blocks are
grouped together to form a larger segment. The individual block hashes for a
segment are stored on a tempfile on disk. A few min-values hashes are then
computed from the block hashes of the segment which are then loaded into the
index. These hashes are used to detect segments that are approximately similar
to each other. Once found the block hashes of the matching segments are loaded
from the temp file and actual deduplication is performed. This allows the
in-memory index size to be approximately 0.0025% of the total dataset size and
requires very few disk reads for every 2048 blocks processed.
If pipe mode is not used and the given dataset is a file then Pcompress
checks whether the index size will exceed three times of 75% of the available
free RAM. In such a case it automatically switches to a Segmented Deduplication
mode. Here data is first split into blocks as above. Then upto 2048 blocks are
grouped together to form a larger segment. The individual block hashes for a
segment are stored on a tempfile on disk. A few min-values hashes are then
computed from the block hashes of the segment which are then loaded into the
index. These hashes are used to detect segments that are approximately similar
to each other. Once found the block hashes of the matching segments are loaded
from the temp file and actual deduplication is performed. This allows the
in-memory index size to be approximately 0.0025% of the total dataset size and
requires very few disk reads for every 2048 blocks processed.
In pipe mode Global Deduplication always uses a segmented similarity based
index. It allows efficient network transfer of large data.
Encryption flags:
'-e <ALGO>'
Encrypt chunks using the given encryption algorithm. The algo parameter
can be one of AES or SALSA20. Both are used in CTR stream encryption
mode.
The password can be prompted from the user or read from a file. Unique
keys are generated every time pcompress is run even when giving the same
password. Of course enough info is stored in the compresse file so that
the key used for the file can be re-created given the correct password.
Default key length if 256 bits but can be reduced to 128 bits using the
'-k' option.
The Scrypt algorithm from Tarsnap is used
(See: http://www.tarsnap.com/scrypt.html) for generating keys from
passwords. The CTR mode AES mechanism from Tarsnap is also utilized.
'-w <pathname>'
Provide a file which contains the encryption password. This file must
be readable and writable since it is zeroed out after the password is
read.
'-k <key length>'
Specify the key length. Can be 16 for 128 bit keys or 32 for 256 bit
keys. Default value is 32 for 256 bit keys.
NOTE: When using pipe-mode via -p the only way to provide a password is to use '-w'.
In pipe mode Global Deduplication always uses a segmented similarity based
index. It allows efficient network transfer of large data.
Environment Variables
=====================
Set ALLOCATOR_BYPASS=1 in the environment to avoid using the the built-in
allocator. Due to the the way it rounds up an allocation request to the nearest
slab the built-in allocator can allocate extra unused memory. In addition you
may want to use a different allocator in your environment.
Set ALLOCATOR_BYPASS=1 in the environment to avoid using the the built-in
allocator. Due to the the way it rounds up an allocation request to the nearest
slab the built-in allocator can allocate extra unused memory. In addition you
may want to use a different allocator in your environment.
The variable PCOMPRESS_INDEX_MEM can be set to limit memory used by the Global
Deduplication Index. The number specified is in multiples of a megabyte.
The variable PCOMPRESS_INDEX_MEM can be set to limit memory used by the Global
Deduplication Index. The number specified is in multiples of a megabyte.
The variable PCOMPRESS_CACHE_DIR can point to a directory where some temporary
files relating to the Global Deduplication process can be stored. This for example
can be a directory on a Solid State Drive to speed up Global Deduplication. The
space used in this directory is proportional to the size of the dataset being
processed and is slightly more than 8KB for every 1MB of data.
The variable PCOMPRESS_CACHE_DIR can point to a directory where some temporary
files relating to the Global Deduplication process can be stored. This for example
can be a directory on a Solid State Drive to speed up Global Deduplication. The
space used in this directory is proportional to the size of the dataset being
processed and is slightly more than 8KB for every 1MB of data.
The default checksum used for block hashes during Global Deduplication is SHA256.
However this can be changed by setting the PCOMPRESS_CHUNK_HASH_GLOBAL environment
variable. The list of allowed checksums for this is:
The default checksum used for block hashes during Global Deduplication is SHA256.
However this can be changed by setting the PCOMPRESS_CHUNK_HASH_GLOBAL environment
variable. The list of allowed checksums for this is:
SHA256 , SHA512
KECCAK256, KECCAK512
BLAKE256 , BLAKE512
SKEIN256 , SKEIN512
SHA256 , SHA512
KECCAK256, KECCAK512
BLAKE256 , BLAKE512
SKEIN256 , SKEIN512
Even though SKEIN is not supported as a chunk checksum (not deemed necessary
because BLAKE2 is available) it can be used as a dedupe block checksum. One may
ask why? The reasoning is we depend on hashes to find duplicate blocks. Now SHA256
is the default because it is known to be robust and unbroken till date. Proven as
yet in the field. However one may want a faster alternative so we have choices
from the NIST SHA3 finalists in the form of SKEIN and BLAKE which are neck to
neck with SKEIN getting an edge. SKEIN and BLAKE have seen extensive cryptanalysis
in the intervening years and are unbroken with only marginal theoretical issues
determined. BLAKE2 is a derivative of BLAKE and is tremendously fast but has not
seen much specific cryptanalysis as yet, even though it is not new but just a
performance optimized derivate. So cryptanalysis that applies to BLAKE should
also apply and justify BLAKE2. However the paranoid may well trust SKEIN a bit
more than BLAKE2 and SKEIN while not being as fast as BLAKE2 is still a lot faster
than SHA2.
Even though SKEIN is not supported as a chunk checksum (not deemed necessary
because BLAKE2 is available) it can be used as a dedupe block checksum. One may
ask why? The reasoning is we depend on hashes to find duplicate blocks. Now SHA256
is the default because it is known to be robust and unbroken till date. Proven as
yet in the field. However one may want a faster alternative so we have choices
from the NIST SHA3 finalists in the form of SKEIN and BLAKE which are neck to
neck with SKEIN getting an edge. SKEIN and BLAKE have seen extensive cryptanalysis
in the intervening years and are unbroken with only marginal theoretical issues
determined. BLAKE2 is a derivative of BLAKE and is tremendously fast but has not
seen much specific cryptanalysis as yet, even though it is not new but just a
performance optimized derivate. So cryptanalysis that applies to BLAKE should
also apply and justify BLAKE2. However the paranoid may well trust SKEIN a bit
more than BLAKE2 and SKEIN while not being as fast as BLAKE2 is still a lot faster
than SHA2.
Examples
========
Simple compress "file.tar" using zlib(gzip) algorithm. Default chunk or per-thread
Archive contents of directory /usr/include into usr.pz. Default chunk or per-thread
segment size is 8MB and default compression level is 6.
pcompress -a /usr/include usr
Archive the given listr of files into file.pz and max compresion level and all features
enabled. A maximum chunk size of 20MB is used. Also use verbose mode which lists each
file as it is processed.
pcompress -a -v -l14 -s20m file1 file2 file3 file
Simple compress "file.tar" using zlib(gzip) algorithm. Default chunk or per-thread
segment size is 8MB and default compression level is 6. Output file created will be
file.tar.pz
pcompress -c zlib file.tar
Compress "file.tar" using bzip2 level 6, 64MB chunk size and use 4 threads. In
addition perform identity deduplication and delta compression prior to compression.
Simple compress "file.tar" using zlib(gzip) algorithm with output file file.compressed.pz
pcompress -D -E -c bzip2 -l6 -s64m -t4 file.tar
Compress "file.tar" using zlib and also perform Global Deduplication. Default block
size used for deduplication is 4KB. Also redirect the compressed output to stdout and
send it to a compressed file at a different path.
pcompress -c zlib file.tar file.compressed
pcompress -G -c zlib -l9 -s10m file.tar - > /path/to/compress_file.tar.pz
Perform the same as above but this time use a deduplication block size of 8KB.
Compress "file.tar" using Zlib and per-thread chunk or segment size of 10MB and
Compression level 9. Compressed output is sent to stdout using '-' which is then
redirected to a file.
pcompress -G -c zlib -l9 -B2 -s10m file.tar - > /path/to/compress_file.tar.pz
Compress "file.tar" using extreme compression mode of LZMA and a chunk size of
of 1GB. Allow pcompress to detect the number of CPU cores and use as many threads.
pcompress -c lzma -l14 -s1g file.tar
Compress "file.tar" using lz4 at max compression with LZ-Prediction pre-processing
and encryption enabled. Chunksize is 100M:
pcompress -c lz4 -l3 -e -L -s100m file.tar
Compression Algorithms
======================
LZFX - Ultra Fast, average compression. This algorithm is the fastest overall.
Levels: 1 - 5
LZ4 - Very Fast, better compression than LZFX.
Levels: 1 - 3
Zlib - Fast, better compression.
Levels: 1 - 9
Bzip2 - Slow, much better compression than Zlib.
Levels: 1 - 9
LZMA - Very slow. Extreme compression.
Levels: 1 - 14
Till level 9 it is standard LZMA parameters. Levels 10 - 12 use
more memory and higher match iterations so are slower. Levels
13 and 14 use larger dictionaries upto 256MB and really suck up
RAM. Use these levels only if you have at the minimum 4GB RAM on
your system.
PPMD - Slow. Extreme compression for Text, average compression for binary.
In addition PPMD decompression time is also high for large chunks.
This requires lots of RAM similar to LZMA.
Levels: 1 - 14.
Adapt - Synthetic mode with text/binary detection. For pure text data PPMD is
used otherwise Bzip2 is selected per chunk.
Levels: 1 - 14
Adapt2 - Slower synthetic mode. For pure text data PPMD is otherwise LZMA is
applied. Can give very good compression ratio when splitting file
into multiple chunks.
Levels: 1 - 14
Since both LZMA and PPMD are used together memory requirements are
large especially if you are also using extreme levels above 10. For
example with 100MB chunks, Level 14, 2 threads and with or without
dedupe, it uses upto 2.5GB physical RAM (RSS).
pcompress -c zlib -l9 -s10m file.tar - > /path/to/compress_file.tar.pz
It is possible for a single chunk to span the entire file if enough RAM is
available. However for adaptive modes to be effective for large files, especially
@ -349,46 +430,46 @@ algorithm can be selected for textual and binary portions.
Pre-Processing Algorithms
=========================
As can be seen above a multitude of pre-processing algorithms are available that
provide further compression effectiveness beyond what the usual compression
algorithms can achieve by themselves. These are summarized below:
As can be seen above a multitude of pre-processing algorithms are available that
provide further compression effectiveness beyond what the usual compression
algorithms can achieve by themselves. These are summarized below:
1) Deduplication : Per-Chunk (or per-segment) deduplication based on Rabin
fingerprinting.
1) Deduplication : Per-Chunk (or per-segment) deduplication based on Rabin
fingerprinting.
2) Delta Compression : A similarity based (minhash) comparison of Rabin blocks. Two
blocks at least 60% similar with each other are diffed using
bsdiff.
2) Delta Compression : A similarity based (minhash) comparison of Rabin blocks.
Two blocks at least 60% similar with each other are diffed
using bsdiff.
3) LZP : LZ Prediction is a variant of LZ77 that replaces repeating
runs of text with shorter codes.
3) LZP : LZ Prediction is a variant of LZ77 that replaces repeating
runs of text with shorter codes.
4) Adaptive Delta : This is a simple form of Delta Encoding where arithmetic
progressions are detected in the data stream and collapsed
via Run-Length encoding.
4) Adaptive Delta : This is a simple form of Delta Encoding where arithmetic
progressions are detected in the data stream and
collapsed via Run-Length encoding.
4) Matrix Transpose : This is used automatically in Delta Encoding and Deduplication.
This attempts to transpose columnar repeating sequences of
bytes into row-wise sequences so that compression algorithms
can work better.
4) Matrix Transpose : This is used automatically in Delta Encoding and
Deduplication. This attempts to transpose columnar
repeating sequences of bytes into row-wise sequences so
that compression algorithms can work better.
Memory Usage
============
As can be seen from above memory usage can vary greatly based on compression/
pre-processing algorithms and chunk size. A variety of configurations are possible
depending on resource availability in the system.
As can be seen from above memory usage can vary greatly based on compression/
pre-processing algorithms and chunk size. A variety of configurations are possible
depending on resource availability in the system.
The minimum possible meaningful settings while still giving about 50% compression
ratio and very high speed is with the LZFX algorithm with 1MB chunk size and 2
threads:
The minimum possible meaningful settings while still giving about 50% compression
ratio and very high speed is with the LZFX algorithm with 1MB chunk size and 2
threads:
pcompress -c lzfx -l2 -s1m -t2 <file>
This uses about 6MB of physical RAM (RSS). Earlier versions of the utility before
the 0.9 release comsumed much more memory. This was improved in the later versions.
When using Linux the virtual memory consumption may appear to be very high but it
is just address space usage rather than actual RAM and should be ignored. It is only
the RSS that matters. This is a result of the memory arena mechanism in Glibc that
improves malloc() performance for multi-threaded applications.
This uses about 6MB of physical RAM (RSS). Earlier versions of the utility before
the 0.9 release comsumed much more memory. This was improved in the later versions.
When using Linux the virtual memory consumption may appear to be very high but it
is just address space usage rather than actual RAM and should be ignored. It is only
the RSS that matters. This is a result of the memory arena mechanism in Glibc that
improves malloc() performance for multi-threaded applications.

26
adaptive_compress.c
View file

@ -230,8 +230,9 @@ adapt_compress(void *src, uint64_t srclen, void *dst,
struct adapt_data *adat = (struct adapt_data *)(data);
uchar_t *src1 = (uchar_t *)src;
int rv = 0, bsc_type = 0;
int stype = PC_SUBTYPE(btype);
if (btype == TYPE_UNKNOWN) {
if (btype == TYPE_UNKNOWN || stype == TYPE_ARCHIVE_TAR) {
uint64_t i, tot8b, tag1, tag2, tag3;
double tagcnt, pct_tag;
uchar_t cur_byte, prev_byte;
@ -267,6 +268,29 @@ adapt_compress(void *src, uint64_t srclen, void *dst,
tagcnt > (double)srclen * 0.001)
btype |= TYPE_MARKUP;
}
} else if (stype == TYPE_PDF) {
uint64_t i, tot8b;
uchar_t cur_byte;
/*
* For PDF files we need to check for uncompressed PDFs. Those are compressed
* using Libbsc.
*/
tot8b = 0;
for (i = 0; i < srclen; i++) {
cur_byte = src1[i];
tot8b += (cur_byte & 0x80);
}
tot8b /= 0x80;
if (adat->adapt_mode == 2 && tot8b > FORTY_PCT(srclen)) {
btype = TYPE_BINARY;
} else if (adat->adapt_mode == 1 && tot8b > FIFTY_PCT(srclen)) {
btype = TYPE_BINARY;
} else {
btype = TYPE_TEXT|TYPE_MARKUP;
}
}
/*

1
archive/pc_arc_filter.h
View file

@ -46,6 +46,7 @@ struct filter_info {
struct archive_entry *entry;
int fd;
int compressing, block_size;
int *type_ptr;
};
struct filter_flags {

25
archive/pc_archive.c
View file

@ -842,7 +842,7 @@ setup_extractor(pc_ctx_t *pctx)
}
static ssize_t
process_by_filter(int fd, int typ, struct archive *target_arc,
process_by_filter(int fd, int *typ, struct archive *target_arc,
struct archive *source_arc, struct archive_entry *entry, int cmp)
{
struct filter_info fi;
@ -854,10 +854,11 @@ process_by_filter(int fd, int typ, struct archive *target_arc,
fi.fd = fd;
fi.compressing = cmp;
fi.block_size = AW_BLOCK_SIZE;
wrtn = (*(typetab[(typ >> 3)].filter_func))(&fi, typetab[(typ >> 3)].filter_private);
fi.type_ptr = typ;
wrtn = (*(typetab[(*typ >> 3)].filter_func))(&fi, typetab[(*typ >> 3)].filter_private);
if (wrtn == FILTER_RETURN_ERROR) {
log_msg(LOG_ERR, 0, "Error invoking filter module: %s",
typetab[(typ >> 3)].filter_name);
typetab[(*typ >> 3)].filter_name);
}
return (wrtn);
}
@ -890,7 +891,8 @@ copy_file_data(pc_ctx_t *pctx, struct archive *arc, struct archive_entry *entry,
if (typetab[(typ >> 3)].filter_func != NULL) {
int64_t rv;
rv = process_by_filter(fd, typ, arc, NULL, entry, 1);
pctx->ctype = typ;
rv = process_by_filter(fd, &(pctx->ctype), arc, NULL, entry, 1);
if (rv == FILTER_RETURN_ERROR) {
close(fd);
return (-1);
@ -934,7 +936,7 @@ do_map:
int64_t rv;
munmap(mapbuf, len);
rv = process_by_filter(fd, typ, arc, NULL, entry, 1);
rv = process_by_filter(fd, &(pctx->ctype), arc, NULL, entry, 1);
if (rv == FILTER_RETURN_ERROR) {
return (-1);
} else if (rv == FILTER_RETURN_SKIP) {
@ -1149,7 +1151,7 @@ copy_data_out(struct archive *ar, struct archive *aw, struct archive_entry *entr
if (typetab[(typ >> 3)].filter_func != NULL) {
int64_t rv;
rv = process_by_filter(-1, typ, aw, ar, entry, 0);
rv = process_by_filter(-1, &typ, aw, ar, entry, 0);
if (rv == FILTER_RETURN_ERROR) {
archive_set_error(ar, archive_errno(aw),
"%s", archive_error_string(aw));
@ -1231,7 +1233,8 @@ extractor_thread_func(void *dat) {
* Extract all security attributes if we are root.
*/
if (pctx->force_archive_perms || geteuid() == 0) {
flags |= ARCHIVE_EXTRACT_OWNER;
if (geteuid() == 0)
flags |= ARCHIVE_EXTRACT_OWNER;
flags |= ARCHIVE_EXTRACT_PERM;
flags |= ARCHIVE_EXTRACT_ACL;
flags |= ARCHIVE_EXTRACT_XATTR;
@ -1475,17 +1478,21 @@ out:
* Detect a few file types from looking at magic signatures.
* NOTE: Jpeg files must be detected via '.jpg' or '.jpeg' (case-insensitive)
* extensions. Do not add Jpeg header detection here. it will break
* context based PackJPG processing. Jpeg files not have proper
* context based PackJPG processing. Jpeg files not having proper
* extension must not be processed via PackJPG.
*/
static int
detect_type_by_data(uchar_t *buf, size_t len)
{
// At least a few bytes.
if (len < 16) return (TYPE_UNKNOWN);
if (len < 512) return (TYPE_UNKNOWN);
if (memcmp(buf, "!<arch>\n", 8) == 0)
return (TYPE_BINARY|TYPE_ARCHIVE_AR);
if (memcmp(&buf[257], "ustar\0", 6) == 0 || memcmp(&buf[257], "ustar\040\040\0", 8) == 0)
return (TYPE_BINARY|TYPE_ARCHIVE_TAR);
if (memcmp(buf, "%PDF-", 5) == 0)
return (TYPE_BINARY|TYPE_PDF);
if (U32_P(buf) == ELFINT) { // Regular ELF, check for 32/64-bit, core dump
if (*(buf + 16) != 4) {
if (*(buf + 4) == 2) {

11
pcompress.c
View file

@ -2832,7 +2832,7 @@ init_pc_context(pc_ctx_t *pctx, int argc, char *argv[])
ff.enable_packjpg = 0;
pthread_mutex_lock(&opt_parse);
while ((opt = getopt(argc, argv, "dc:s:l:pt:MCDGEe:w:LPS:B:Fk:avnmK")) != -1) {
while ((opt = getopt(argc, argv, "dc:s:l:pt:MCDGEe:w:LPS:B:Fk:avmK")) != -1) {
int ovr;
int64_t chunksize;
@ -2982,10 +2982,6 @@ init_pc_context(pc_ctx_t *pctx, int argc, char *argv[])
pctx->verbose = 1;
break;
case 'n':
pctx->enable_archive_sort = -1;
break;
case 'm':
pctx->force_archive_perms = 1;
break;
@ -3023,6 +3019,11 @@ init_pc_context(pc_ctx_t *pctx, int argc, char *argv[])
return (1);
}
if (pctx->archive_mode && pctx->pipe_mode) {
log_msg(LOG_ERR, 0, "Full pipeline mode is meaningless with archiver.");
return (1);
}
/*
* Default compression algorithm during archiving is Adaptive2.
*/

2
pcompress.h
View file

@ -236,7 +236,7 @@ typedef struct pc_ctx {
uchar_t *arc_buf;
uint64_t arc_buf_size, arc_buf_pos;
int arc_closed, arc_writing;
uchar_t btype, ctype;
int btype, ctype;
int min_chunk;
int enable_packjpg;

6
utils/utils.h
View file

@ -246,7 +246,7 @@ typedef enum {
/*
* Sub-types.
*/
#define NUM_SUB_TYPES 26
#define NUM_SUB_TYPES 28
TYPE_EXE32 = 8,
TYPE_JPEG = 16,
TYPE_MARKUP = 24,
@ -272,7 +272,9 @@ typedef enum {
TYPE_AUDIO_COMPRESSED = 184,
TYPE_EXE64 = 192,
TYPE_BMP = 200,
TYPE_TIFF = 208
TYPE_TIFF = 208,
TYPE_PDF = 216,
TYPE_ARCHIVE_TAR = 224
} data_type_t;
/*