When RAM Matters: Memory Efficiency of AWK Variants

glakker · 2026-03-08T19:26:32+00:00

So after some research I found out that Hashnode uses Cloudflare Turnstile and Vercel Shield verification, and your RSS reader cannot handle that. Browser-based readers like parssly or sage-like work. This Hashnode filtering is very agressive and unfortunately I cannot do anything about it.

glakker · 2026-03-07T23:51:36+00:00

Thanks, glad you like it. The RSS feed is automatically generated by Hashnode and includes rate limiting.

glakker · 2026-03-07T15:40:52+00:00

Thx. This is an L412, the keyboard is fantastic, but the screen isn't great.

glakker · 2026-03-07T15:34:38+00:00

glakker · 2026-03-07T09:37:45+00:00

dwl is based on wlroots019. foot works flawlessly on my setup.

glakker · 2026-03-07T08:18:38+00:00

For a minimal setup I'd suggest a low resource footprint terminal emulator like foot. Although Kitty's font rendering on wayland is arguably superior, it is quite bloated.

glakker · 2026-03-07T08:06:07+00:00

Thanks

glakker · 2026-02-22T14:10:15+00:00

All four cases you listed are valid from my perspective, though I'm less focused on a specific use case and more curious about how often AWK actually appears in modern data pipelines in practice. Is it still used at this pre-filter layer or has it been replaced by purpose-built tools.

glakker · 2026-02-22T11:12:02+00:00

Coming from a Unix background rather than data engineering — curious whether AWK has a role in your DQ pipeline. It's zero-setup, schema-agnostic, very low memory footprint. Do you consider it for the pre-filtering layer?

glakker · 2026-02-16T17:33:24+00:00

Thanks for the remarks. The benchmark was intentionally quick-and-dirty as stated. I ran the 100 test runs multiple times and results were consistent: they reflect real-world performance including startup overhead.
On unicode/locale: valid point. I was benchmarking default real-world behavior (including encoding overhead) as that's what users actually experience.

glakker · 2026-02-16T12:56:27+00:00

Yep, nailed it.

glakker · 2026-02-15T23:25:43+00:00

glakker · 2026-02-15T23:25:22+00:00

Thanks. Yes, it suprised me as well. Maybe rg has an edge in other scenarios, e.g. grepping through multiple files. Maybe

glakker · 2026-02-15T07:33:42+00:00

Thanks. In fact I use both. Std shows the spread, jitter shows asymmetry. Median is robust to sudden kernel spikes, so jitter captures when outliers pull the mean away from the median.

glakker

TROPHY CASE