We already have many of the climate solutions we need. But scaling them is hard. The Green Blueprint is a show about the people who are architecting the clean economy. Every other week, host Lara Pierpoint profiles the founders, investors, and organizational leaders who are solving complex challenges in the quest to build climate technologies fast.
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Postgres with many data (froscon2025)
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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
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1905 episodes
MP4•Episode home
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
…
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1905 episodes
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