pev2 VS svgomg

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.

Another web-based SVG tool I use regularly is https://jakearchibald.github.io/svgomg/, an extremely configurable optimizer.

Im assuming if you click on the red dot you get to see the names. Try to get a svg without the names. Get it through SVGOMG https://jakearchibald.github.io/svgomg/ and then make a component out of it. Add click listener to the dots and voila

SVG Optimizer

SVGOMG for optimizing SVG

Use https://jakearchibald.github.io/svgomg/ to strip out all the unnecessary data.

I came here to say the same thing.

Somebody recently pointed me at a nice online GUI for svgo, so you can try it for yourself without installing anything: https://jakearchibald.github.io/svgomg/

Use what ever you to create it the run it through https://jakearchibald.github.io/svgomg/