lrzip
Swift
lrzip | Swift | |
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6 | 1 | |
595 | 2,559 | |
- | 0.4% | |
3.7 | 9.1 | |
23 days ago | 5 days ago | |
C | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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lrzip
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How to Get Your Backup to Half of Its Size – ZSTD Support in XtraBackup
lrzip
Long Range ZIP or LZMA RZIP
https://github.com/ckolivas/lrzip
"A compression utility that excels at compressing large files (usually > 10-50 MB). Larger files and/or more free RAM means that the utility will be able to more effectively compress your files (ie: faster / smaller size), especially if the filesize(s) exceed 100 MB. You can either choose to optimise for speed (fast compression / decompression) or size, but not both."
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File compression
7zip and XZ are almost always the best in any comparison. (They use the same algorithm.) Occasionally something new comes allong that may be bettyer, but it fades away... Like lrzip. https://lkml.org/lkml/2011/6/4/23 https://github.com/ckolivas/lrzip
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If we found a way to reverse a hashing function, would that make them ultra-compression algorithms?
For example lrzip has an intense "dupe hunting" mode and takes days for large content, but does compress very well once it's done (and expansion is fast). I use it on long term storage backups and disk images and junk. Completely incompatible with streaming, unlike chunk-based like gzip or deflate or etc, although unpacking can stream such as searching or verifying a tarfile archive. But the original source has to be file-based so seeking for the hunting can work across the entire file-as-a-block.
- Lrzip – Long Range Zip or LZMA RZIP
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Ask HN: How would you store 10PB of data for your startup today?
Best I know of for that is something like lrzip still, but even then it's probably not state of the art. https://github.com/ckolivas/lrzip
It'll also take a hell of a long time to do the compression and decompression. It'd probably be better to do some kind of chunking and deduplication instead of compression itself simply because I don't think you're ever going to have enough ram to store any kind of dictionary that would effectively handle so much data. You'd also not want to have to re-read and reconstruct that dictionary to get at some random image too.
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Encrypted Backup Shootout
There's also lrzip for large files: https://github.com/ckolivas/lrzip
Swift
What are some alternatives?
bupstash - Easy and efficient encrypted backups.
minio - The Object Store for AI Data Infrastructure
rdedup - Data deduplication engine, supporting optional compression and public key encryption.
GlusterFS - Gluster Filesystem : Build your distributed storage in minutes
duplicity - mirror of duplicity: https://code.launchpad.net/duplicity
ownCloud - :cloud: ownCloud web server core (Files, DAV, etc.)
LeoFS - The LeoFS Storage System
Go IPFS - IPFS implementation in Go [Moved to: https://github.com/ipfs/kubo]
BorgBackup - Deduplicating archiver with compression and authenticated encryption.
Nextcloud - ☁️ Nextcloud server, a safe home for all your data
ParlAI - A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Nimbus