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Xz

Xzgrep is twice as fast with dash versus bash

Hacker News

Xzgrep is twice as fast with dash versus bash

In the CentOS world, a shell script written by "Charles Levert" has been extended as the compressed grep for (gzip/bzip2/xz) as /bin/(zgrep/bzgrep/xzgrep); variants of this script are bundled in their respective packages. The dash shell, available in EPEL for CentOS, appears to specifically speed up xzgrep considerably when altered from #!/bin/sh to #!/bin/dash. In my testing on a 32-bit platform under xargs, a search of 14k files of 20M total size runs in half the time. Do others see this performance increase? Is this another tangible benefit for Debian/Ubuntu moving the system shell from bash to their Almquist shell derivative?

Visit productView on Hacker NewsOct 17, 2022
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

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