pev2 VS supabase

This runs in about 250ms. Let's have a look at the explain plan to understand it better. To visualise it, I am using the excellent visualisation tool from Dalibo.

The PEV2 is open source and give you a good visualization. I never used this pgmustard to compare.

https://explain.dalibo.com/

Visualize Your Plan: Visit explain.dalibo.com and paste the generated plan text and query. Then, hit Submit. The tool will generate a visualization of your query plan. Here's an example of the visualization for the fifth attempt version of the query from this post. It shows the different types of scans that were used and how the data gets combined. The duration of each operation is also shown:

You can download the whole analyzer as a simple html file and use it this way. No need to obfuscate or sanitize anything at all.

https://github.com/dalibo/pev2

You might be interested in sites like https://explain.dalibo.com/ which make the output a bit nicer to read. I use these quite often to quickly identify bottlenecks.

PostgreSQL Query Plan Analyzer and Visualizer

I didn’t know about pev2, interesting, checking it now. Did you integrate the component yourself or are you using this hosted page by them: https://explain.dalibo.com/?

IMO it‘s important to get started with indexing. Grab your most frequently used queries and run an EXPLAIN ANALYZE to identify the problems. This tool might help you to understand your execution plans. Once you identified your problems, you can build indexes and check again. Then you should regularly check if your indexes are used.

Sign up for SupaBase: Head over to SupaBase and sign up. Create a new workspace and project with your preferred names.

Setting up Supabase Create a new Supabase project, and get the connection string for the database from settings > database.

Supabase (start for free)

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

Supabase will be used for storing article data in the database and the cover image of the article in storage. Chakra UI will be used to provide style to the elements. By using both, we can build the blog with ease.

For AutoRepurpose, I opted for Supabase as the backbone of the backend. It has reliably supported Penelope AI, which garnered over 15k users in 2022 without any issues.

Semantic search demo

1. Create a new Supabase project: Visit Supabase and create a new project.

Supabase positions itself as the "open source Firebase alternative." It was founded in 2020 and is a developer-friendly serverless database platform that supports over 20 frameworks, including popular tools like Next.js, React, Nuxt, Svelte, Flutter, and Vue.

You can find the full application code as a Python Poetry project on GitHub.