ZLib VS zstd

A fix has been checked into the upstream git repo: https://github.com/madler/zlib/pull/843 but a release has not yet been made including it.

So the real issue here is that the lack of tree validation before the tree construction, I believe. I'm surprised that this check was not yet implemented (I actually checked libwebp to make sure that I was missing one). Given this blind spot, an automated test based on the domain knowledge is likely useless to catch this bug.

[1] https://github.com/madler/zlib/blob/master/examples/enough.c

In the source code of the Node.js opensource project, lib folder contains JavaScript code, mostly wrappers over C++ and function definitions. On the contrary, src folder contains C++ implementations of the functions, which pulls dependencies from the V8 project, the libuv project, the zlib project, the llhttp project, and many more - which are all placed at the deps folder.

Seeing the text in red got me thinking for a moment, "wow, didn't realize pirates had such love for an open-source compression library"

cd "${srcdir}/zlib-$pkgver/contrib/minizip" make install DESTDIR="${pkgdir}" install -D -m644 "${srcdir}/zlib-$pkgver/LICENSE" "${pkgdir}/usr/share/licenses/minizip/LICENSE" # https://github.com/madler/zlib/pull/229 rm "${pkgdir}/usr/include/minizip/crypt.h"

Of course, you may get different results with another dataset.

gzip (zlib -6) [ratio=32%] [compr=35Mo/s] [dec=407Mo/s]

zstd (zstd -2) [ratio=32%] [compr=356Mo/s] [dec=1067Mo/s]

NB1: The default for zstd is -3, but the table only had -2. The difference is probably small. The range is 1-22 for zstd and 1-9 for gzip.

NB2: The default program for gzip (at least with Debian) is the executable from zlib. With my workflows, libdeflate-gzip iscompatible and noticably faster.

NB3: This benchmark is 2 years old. The latest releases of zstd are much better, see https://github.com/facebook/zstd/releases

For a high compression, according to this benchmark xz can do slightly better, if you're willing to pay a 10× penalty on decompression.

xz -9 [ratio=23%] [compr=2.6Mo/s] [dec=88Mo/s]

zstd -9 [ratio=23%] [compr=2.6Mo/s] [dec=88Mo/s]

Compression, synchronization and backup systems often use rolling hash to implement "content-defined chunking", an effective form of deduplication.

In optimized implementations, Rabin-Karp is likely to be the bottleneck. See for instance https://github.com/facebook/zstd/pull/2483 which replaces a Rabin-Karp variant by a >2x faster Gear-Hashing.

Get the data https://publicdistst.blob.core.windows.net/data/root.tar.zst magnet:?xt=urn:btih:84931cd80409ba6331f2fcfbe64ba64d4381aec5&dn=root.tar.zst How to extract https://github.com/facebook/zstd Linux (debian): `sudo apt install zstd` ``` tar -I 'zstd -d -T0' -xvf root.tar.zst ```

I've done that experiment with zstd before.

https://github.com/facebook/zstd/blob/dev/programs/zstd.1.md...

Not sure about brotli though.

If you want this functionality in zstd itself, check this out: https://github.com/facebook/zstd/pull/2349

The story says : "ZSTD 1.5.5 is released with a corruption fix found at Google"