| Tool | Time | CPU Efficiency | Notes | |------|------|----------------|-------| | gzip -9 (single-threaded) | 28 min | 100% (1 core) | Slowest | | pigz (parallel gzip) | 4 min | ~800% (8 cores) | Good | | zstd -T16 (single file) | 2.5 min | ~1200% | Best for one huge file | | | 2.2 min | ~1500% | Best for many files |
If you find yourself compressing thousands of files on a multi-core server and zstd -T0 still feels slow due to filesystem or threading overhead, zsthost (or a similar task-parallel wrapper) might be the missing piece in your performance puzzle. This piece is an explanatory overview. For exact syntax and availability, always consult the documentation provided with your specific zsthost implementation. zsthost
# Compress all .log files in /var/log using 4 workers zsthost -w 4 -i /var/log/*.log -o /backup/logs/ tar -c /data | zsthost -w 8 -o archive.tar.zst Decompress a multi-chunk zsthost archive zsthost -d -i archive.zst -o restored/ | Tool | Time | CPU Efficiency |
In the world of high-performance computing, big data analytics, and cloud storage, efficiency is paramount. One of the unsung heroes of this ecosystem is a command-line utility called zsthost . While not a household name, zsthost plays a critical role in parallel, high-speed compression and decompression using the popular Zstandard (zstd) algorithm. # Compress all