I used it a couple times to merge chunks of gzipped CSV together, you know, like "cat 2024-Jan.csv.gz 2024-Feb.csv.gz 2024-Mar.csv.gz > 2024-Q1.csv.gz". Of course, it only works when there is no column headers.
Sadly, the authors hard coded the expected headers so it’s not fully gzip compatible (you can’t add your own arbitrary headers). For example, I wanted to add a chunk hash and optional encryption by adding my own header elements. But as the original tooling all expects a fixed header, it can’t be done in the existing format.
But overall it is easily indexed and makes reading compressed data pretty easy.
So, there you go - a practical use for a gzip party trick!
I don't think many people use that last property or are even aware of it, which is a shame. I wrote a tool (bamrescue) to easily recover data from uncorrupted blocks of corrupted BAM files while dropping the corrupted blocks and it works great, but I'd be surprised if such tools were frequently used.
I’ve had to do similar things in the past and it’s a great side-feature of the format. It’s a horrible feeling when you find a corrupted FASTQ file that was compressed with normal gzip. At least with bgzip corrupted files, you can find and start recovery from the next block.
I was motivated some years ago to try recovering from these errors [1] when I was handling a DEFLATE compressed JSON file, where there seemed to be a single corrupted byte every dozen or so bytes in the stream. It looked like something you could recover from. If you output decompressed bytes as the stream was parsed, you could clearly see a prefix of the original JSON being recovered up to the first corruption.
In that case the decompressed payload was plaintext, but even with a binary format, something like kaitai-struct might give you an invalid offset to work from.
For these localized corruptions, it's possible to just bruteforce one or two bytes along this range, and reliably fix the DEFLATE stream. Not really doable once we are talking about a sequence of four or more corrupted bytes.
[0] https://numpy.org/doc/stable/reference/generated/numpy.savez...
Considering the big thing with TAR is that you can also concatenate it together (the format is quite literally just file header + content ad infinitum; it was designed for tape storage - it's also the best concatenation format if you need to send an absolute truckloads of files to a different computer/drive since the tar utility doesn't need to index anything beforehand), making gzip also capable of doing the same logic but with compression seems like a logical followthrough.
This hasn't ever been practically useful, but it means you can trivially create a 19-layer gzip file containing more prayer strips than there are atoms in the universe, providing a theological superweapon. All you need to do is write it to a USB-stick, then drop the USB-stick in a river, and you will instantly cause a heavenly crisis of hyperinflation.