py The URLs to the photos taken on Mars should be printed one by one, while phone number philippines other information about the job should be displayed in the terminal window where the worker is running, not the one where your code is running. RQ worker output To verify that this function does not cause a hang, try adding print statements before and after the loop, and executing ordinary function calls instead of enqueuing them: Python Copy the code print('Before') for i in range(10): get_mars_photo(990 + i) # q.
enqueue(get_mars_photo, 990 + i) print('After') Each URL that points to a photo will then be printed, followed by the "After" message. If you go back to the original code, but keep the print statements, you'll see the messages print almost immediately as the code that makes the HTTP requests is processed in your other terminal window. RQ workers can do a lot of things, so it's worth reading the documentation to learn more. RQ also comes with a bunch of utilities to help you understand jobs better , including a command-line interface that makes it easy to requeue failed jobs .
Here's an example: Bash Copy the code # This command will requeue all jobs in myqueue's failed job registry rq requeue --queue myqueue -u redis://localhost:6379 --all To infinity and beyond The code snippets we've used here are just short examples of what you can do with RQ, but I hope that by reading this post and the RQ documentation, you'll see how easy it is to add RQ to your other projects. Now that you know how to run functions like we did above, adding RQ to your Flask or Django app will be as simple as writing a few lines of code where needed! If you want to be able to schedule tasks, you can also use RQ Scheduler.