RAG on PostgreSQL: Load testing

We recommend running a loadtest for your expected number of users. You can use the locust tool with the locustfile.py in this sample or set up a loadtest with Azure Load Testing.

To use locust, first install the dev requirements that includes locust:

python -m pip install -r requirements-dev.txt

Or manually install locust:

python -m pip install locust

Then run the locust command, specifying the name of the User class to use from locustfile.py or using the default class. We've provided a ChatUser class that simulates a user asking questions and receiving answers.

locust

Open the locust UI at http://localhost:8089/, the URI displayed in the terminal.

Start a new test with the URI of your website, e.g. https://my-chat-app.containerapps.io. Do not end the URI with a slash. You can start by pointing at your localhost if you're concerned more about load on OpenAI than on Azure Container Apps and PostgreSQL Flexible Server.

For the number of users and spawn rate, we recommend starting with 20 users and 1 users/second. From there, you can keep increasing the number of users to simulate your expected load.

Here's an example loadtest for 20 users and a spawn rate of 1 per second:

After each test, check the local or App Service logs to see if there are any errors.

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