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JasonPunyon

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Why is the total number of questions on Stack Overflow shrinking lately?

meta.stackoverflow.com
4 points·by JasonPunyon·w zeszłym roku·0 comments

Stack Overflow has stopped publishing data dumps to the Internet Archive

meta.stackexchange.com
101 points·by JasonPunyon·2 lata temu·17 comments

Farey Numbers and Linked Lists

jasonpunyon.com
7 points·by JasonPunyon·2 lata temu·4 comments

SEqlite – Minimal Stack Exchange Data Dump in SQLite Format

seqlite.puny.engineering
28 points·by JasonPunyon·2 lata temu·11 comments

SEqlite: Minimal Stack Exchange Data Dump in SQLite Format

archive.org
30 points·by JasonPunyon·2 lata temu·1 comments

comments

JasonPunyon
·w zeszłym roku·discuss
Thanks for taking it for a spin! I'm working on why this is slow now.
JasonPunyon
·2 lata temu·discuss
You may remember a carbon copy of this event from a year ago. https://meta.stackexchange.com/questions/389922/june-2023-da...

Discussion from then https://news.ycombinator.com/item?id=36257523
JasonPunyon
·2 lata temu·discuss
If anyone wants their data back in a way they can use it, it's right here https://seqlite.puny.engineering

And I'd be remiss if I didn't point out that their trade dress is MIT licensed. https://stackoverflow.design

Have fun.
JasonPunyon
·2 lata temu·discuss
Thanks so much, that’s really kind.
JasonPunyon
·2 lata temu·discuss
Good catch! Fix going up now.
JasonPunyon
·2 lata temu·discuss
Nice post!

Yep, my process is similar. It goes...

  - decompress (users|posts)  
  - split into batches of 10,000  
  - xsltproc the batch into sql statements  
  - pipe the batches of statements into sqlite in parallel using flocks for coordination
On my M1 Max it takes about 40 minutes for the whole network. Then I compress each database with brotli which takes about 5 hours.
JasonPunyon
·2 lata temu·discuss
This site is on a Cloudflare R2 bucket because (and only because) they have free egress. While not datacenter sized some of these files are large. Just opening up your credit card to 10 cents a gigabyte will be a bad time anywhere else.