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A surprising? lesson in the speed of languages

Scenario: I had the need for a small tool that would parse logfiles of approximately 6 million lines. To each line apply two regexps to extract a few values, and using two separate dictionaries/hashmaps (choose your poison wrt terminology) calculate how many times each capture group int he regexp shows up.

All in all, this is not going to be a very performance critical run, as it will only parse about 4 times these 6 million lines per day, so even at worst case we're talking less than 100M regexp matches per day. Piece of cake for any language. And since it's a weekend and I don't have any time when I have to deliver this finished script, I set out to prove to myself that python is going to be fast enough for this.

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Conferences

I speak at and organize conferences around Open Source in general and PostgreSQL in particular.

Upcoming

SCaLE 2023
Mar 9-12, 2023
Pasadena, CA, USA
Nordic PGDay 2023
Mar 21, 2023
Stockholm, Sweden
pgday.Paris 2023
Mar 23, 2023
Paris, France
PGCon 2023
May 30-Jun 2, 2023
Ottawa, Canada
PGConf.EU 2023
Dec 12-15, 2023
Prague, Czechia

Past

FOSDEM 2023
Feb 2-5, 2023
Brussels, Belgium
PGConf.EU 2022
Oct 25-28, 2022
Berlin, Germany
PGConf.NYC 2022
Sep 22-23, 2022
New York, USA
Swiss PGDay 2022
Jul 1, 2022
Rapperswil, Switzerland
pgCon 2022
May 24-27, 2022
Online, Online
More past conferences