My thoughts and experiments.

© 2019. Dmitry Dolgov All rights reserved.

Compare incomparable: PostgreSQL vs Mysql vs Mongodb

As such, there’s really no “standard” benchmark that will inform you about the best technology to use for your application. Only your requirements, your data, and your infrastructure can tell you what you need to know.

NoSql is everywhere and we can’t escape from it (although I can’t say we want to escape). Let’s leave the question about reasons outside this text, and just note one thing - this trend isn’t related only to new or existing NoSql solutions. It has another side, namely the schema-less data support in traditional relational databases. It’s amazing how many possibilities hiding at the edge of the relational model and everything else. But of course there is a balance that you should find for your specific data. It can’t be easy, first of all because it’s required to compare incomparable things, e.g. performance of a NoSql solution and traditional database. Here in this post I’ll make such attempt and show the comparison of jsonb in PostgreSQL, json in Mysql and bson in Mongodb.

Gentoo and Lenovo u430p - the sad story

Finally, I decided to replace my old laptop, and my chose fell on the Lenovo u430p. As I understand now, it was not a good idea in case of Gentoo =) Actually, I was surprised, how many nerves you can lose only because of the adaptation of you hardware to your requirements. And here is the shortlist of what you shouldn’t forget, if you want to do the same more easily.

Use an exception instead of the NaN

This is a small notice about a very useful trick. I often have to deal with computations, because the CFD is the part of my activity. And one of the annoying problem in this kind of research is when after many hours of computations you got a Not A Number result, caused by a stupid mistake. It would be nice, if a computation was interrupted by the NaN.

From bash to fish

I’m doing a small revolution in my environment from time to time. I think “hey, a cool stuff”, take a deep breath and doing something new. And this is story about my migration from the bash to the fish shell.

Let’s see, what says the official tutorial:

fish is a fully-equipped command line shell (like bash or zsh) that is smart and user-friendly. fish supports powerful features like syntax highlighting, autosuggestions, and tab completions that just work, with nothing to learn or configure. If you want to make your command line more productive, more useful, and more fun, without learning a bunch of arcane syntax and configuration options, then fish might be just what you’re looking for!

And this is almost true =) But there is another concrete reason, why I like fish shell:

  • Search by history (as an autocomplete by tab)
  • More intuitive and clean configuration files
  • Vim mode support