Artwork

Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Postgres with many data (froscon2025)

1:00:47
 
Share
 

Manage episode 500686039 series 2475293
Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Picking up the topic of previous talks about using PostgreSQL to store many data, very many data, and absurdly many data, this talk wants to talk about the problems and challenges that one might experience when trying to shove all the data into PostgreSQL. Many things that are simple with small amounts of data can become headache-inducing. As data grows even a simple 'select count(*)' can be unpleasantly slow. Taking a naive backup could easily take more than a day, and restoring such a backup is similarly time-consuming. We will explore the limits of where PostgreSQL can go, the limits imposed by physics, hardware, and software, and ideas how we can go beyond those limitations. We'll also look at some performance problems and the many strategies we have to mitigate them. Hopefully this talk will give you the confidence that PostgreSQL can grow with your data, and show you some of the options you have to improve performance when your data just keeps growing and growing. Licensed to the public under http://creativecommons.org/licenses/by/4.0 about this event: https://programm.froscon.org/2025/events/3326.html
  continue reading

1905 episodes

Artwork
iconShare
 
Manage episode 500686039 series 2475293
Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Picking up the topic of previous talks about using PostgreSQL to store many data, very many data, and absurdly many data, this talk wants to talk about the problems and challenges that one might experience when trying to shove all the data into PostgreSQL. Many things that are simple with small amounts of data can become headache-inducing. As data grows even a simple 'select count(*)' can be unpleasantly slow. Taking a naive backup could easily take more than a day, and restoring such a backup is similarly time-consuming. We will explore the limits of where PostgreSQL can go, the limits imposed by physics, hardware, and software, and ideas how we can go beyond those limitations. We'll also look at some performance problems and the many strategies we have to mitigate them. Hopefully this talk will give you the confidence that PostgreSQL can grow with your data, and show you some of the options you have to improve performance when your data just keeps growing and growing. Licensed to the public under http://creativecommons.org/licenses/by/4.0 about this event: https://programm.froscon.org/2025/events/3326.html
  continue reading

1905 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play