Python Wrapper for Jerasure
Project description
pyjerasure
Python Wrapper library for libjerasure
Only basic encoding/decoding methods are implemented.
Usage
In this example we have blocks of data that we would like to protect against data loss.
data = [
b"hello",
b"world",
b"data-123",
b"data-0123456789A",
]
First we import the library and setup our matrix.
There are multiple matrix types available which can be shown with Matrix.TYPES
import pyjerasure
matrix_type = "rs_r6"
k = 4 # Number of data blocks
m = 2 # Number of coding blocks. This is also the maximum number of blocks that can be lost.
w = 8 # Word Size
matrix = pyjerasure.Matrix(matrix_type, k, m, w)
Next we encode our data using the matrix. This adds redundant coding blocks to our data.
coded_data = pyjerasure.encode_from_blocks(matrix, data)
print(coded_data)
# Outputs:
#
# [b'hello\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
# b'world\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
# b'data-123\x00\x00\x00\x00\x00\x00\x00\x00',
# b'data-0123456789A',
# b'\x1f\n\x1e\x00\x0b\x01\x03\x013456789A',
# b'\x0c\r\xc2\x02fY]A\x85\xbd\xb5\xad\xa5\xdd\xd52']
#
Notice how some of our data has been padded with zeroed bytes.
This is necessary for encoding our data.
The *_from_blocks
method automatically pads data to the correct length.
Now we're going to simulate a loss of data by deleting 'm' blocks.
missing = [1, 3]
for i in missing:
coded_data[i] = b""
print(coded_data)
# Outputs:
#
# [b'hello\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
# b'',
# b'data-123\x00\x00\x00\x00\x00\x00\x00\x00',
# b'',
# b'\x1f\n\x1e\x00\x0b\x01\x03\x013456789A',
# b'\x0c\r\xc2\x02fY]A\x85\xbd\xb5\xad\xa5\xdd\xd52']
#
Recovering the data can be done if we know the indexes of the missing blocks.
restored = pyjerasure.decode_from_blocks(matrix, coded_data, missing)
print(restored)
# Outputs:
#
# [b'hello\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
# b'world\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
# b'data-123\x00\x00\x00\x00\x00\x00\x00\x00',
# b'data-0123456789A',
# b'\x1f\n\x1e\x00\x0b\x01\x03\x013456789A',
# b'\x0c\r\xc2\x02fY]A\x85\xbd\xb5\xad\xa5\xdd\xd52']
#
Blocks can be encoded and decoded as a byte string using the *_from_bytes
methods.
Each block needs to be padded in respect to the longest block. The align_size
method returns the appropriate size for each block.
The Matrix.align_block
method pads each block.
matrix_type = "cauchy"
matrix = pyjerasure.Matrix(matrix_type, k, m, w)
size = max([len(block) for block in data])
padded = [matrix.align_block(block, size) for block in data]
padded_data = b"".join(padded)
encoded = pyjerasure.encode_from_bytes(matrix, padded_data, size)
print(encoded)
# Outputs:
#
# b'hello\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00
# world\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00
# data-123\x00\x00\x00\x00\x00\x00\x00\x00
# data-0123456789A
# M\x8a\xea\x01+\xb0\xdem\x0f]\xfa\x0e\xa9\xaa\r\x15
# 2\x89\xef\x01RP\xe3\x8d\xc5\rJ\x83\xc4\x0eIW'
#
block_size = len(encoded) // (matrix.k + matrix.m)
erased = bytearray(encoded)
erased[:block_size * 2] = bytes(block_size * 2) # Erase first two blocks.
erased = bytes(erased)
print(erased)
# Outputs:
#
# b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00
# \x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00
# data-123\x00\x00\x00\x00\x00\x00\x00\x00
# data-0123456789A
# M\x8a\xea\x01+\xb0\xdem\x0f]\xfa\x0e\xa9\xaa\r\x15
# 2\x89\xef\x01RP\xe3\x8d\xc5\rJ\x83\xc4\x0eIW'
#
erasures = [0, 1]
restored = pyjerasure.decode_from_bytes(matrix, erased, erasures, size)
print(restored)
# Outputs:
#
# b'hello\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00
# world\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00
# data-123\x00\x00\x00\x00\x00\x00\x00\x00
# data-0123456789A
# M\x8a\xea\x01+\xb0\xdem\x0f]\xfa\x0e\xa9\xaa\r\x15
# 2\x89\xef\x01RP\xe3\x8d\xc5\rJ\x83\xc4\x0eIW'
#
Installing
Using pip
pip install pyjerasure
From Source
Installing from source requires libjerasure-dev
to be installed.
In addition, cython
may need to be installed as well.
pip install cython
python setup.py install build_ext
Original License
Copyright (c) 2013, James S. Plank and Kevin Greenan All rights reserved.
Jerasure - A C/C++ Library for a Variety of Reed-Solomon and RAID-6 Erasure Coding Techniques
Revision 2.0: Galois Field backend now links to GF-Complete
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
-
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
-
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
-
Neither the name of the University of Tennessee nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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