Postgres scales … when you do this!
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- Опубликовано: 12 июл 2024
- Partitioning Tables can greatly improve the efficiency of your Postgres queries by drastically reducing the size of the result set being processed. In this video, Jon Meyers demonstrates how to refactor a giant multi-tenant table into much smaller, individual partitions.
🐘 Partitioning tables: supabase.com/docs/guides/data...
Table partitioning in Postgres is a powerful database feature that allows large tables to be divided into smaller, more manageable pieces called partitions. Each partition can be accessed and managed independently, improving query performance and simplifying maintenance. Partitions can be created based on various criteria, such as range, list, or hash, enabling efficient organization of data. By filtering queries to search within specific partitions, database operations become faster and more efficient. This technique is particularly useful for handling large datasets, optimizing resource usage, and enhancing overall database performance.
00:00 When you need Table Partitions
02:19 Creating a Partitioned Table by List of values
03:39 Creating Partitions for each unique value
04:42 Querying partitioned tables
06:21 Maintaining partitions as data changes
08:36 Querying across multiple partitions
09:18 Combining Indexes with Partitioned Tables
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I hope this series never ends.
Yes! Please do a video on partitioning a table with no down time. This recent Postgres series of content has been a goldmine of knowledge that’s either hidden in the docs, or locked in somebody’s head somewhere because they got the experience but never shared it.
It’s worth bearing in mind that it’s not feasible for Supabase to document or teach us about all of these features. They are not Supabase features; they are PostgreSQL features, and PostgreSQL has been around for decades. It’s all documented on the PostgreSQL site, with thousands of tutorials all over the Internet.
Please make a video showing how to use pg_partman, every SaaS app would use partitioning if it’s automated.
you're an underated content creator have learnt a ton about relational dbs from your vids!
table partitioning in postgres is a superpower! handy for datawarehouses too.
The MANGOS LOL
Very helpful! Thank you
Amazing 🔥 I like Supabase 🔥🔥
Absolutely brilliant video! So helpful! Definitely going to do this in my Supabase project and am so keen to check out Partman (video on that please!)
And would love to see how to do it without downtime too!
When would you recommend to use either index or partition?
Another great video by the way 😉
Yes… please do a video on partitions and spend a little time explaining how we would use the api call in the likes of Flutterflow.
How do you update in live your partitions when you have new data (in your people table for example here)?
and what about the referenced tables? do they also get automatically partitioned or not
Postgres 1
Supabase 0