Handling concurrent requests in DjangoDiscover how Django manages multiple simultaneous requests

Handling multiple requests in a web application can be a challenging task, especially when the server needs to perform complex operations like making API requests and executing database queries. In this post, we will explore how Django can effectively manage simultaneous requests.

    
        group_name_status = {'name': '', 'status':''}

        def tokem_update(access_token):
            try:
                # Code for updating access token
            except:
                return False

        def nema_status(request):
            if request.method == 'POST':
                try:
                    # Code for handling group status based on group ID
                except:
                    messages.error(request, "Something went wrong. Try again.")
            else:
                messages.error(request, "Something went wrong. Try again.")
            return redirect('nema:view_nema')

        def get_group_name(request):
            global group_name_status
            return JsonResponse(group_name_status, status=200)
        
    

Request ajax and django URL simultaneously:


        document.querySelectorAll('.nema-status-group').forEach(item => item.addEventListener('submit', e => {
            for(let i = 0; i < 5000; i++){
                setTimeout(get_table_name, i * 1000)
            }
        });
        
        function get_table_name(){
            // AJAX code to fetch and update group status
        }
    

Answer №1

The duty of managing requests falls on the WSGI server and the HTTP server, not Django itself. Typically, each request is processed in its own thread, which is terminated once the request is fulfilled. The server's ability to handle multiple requests at once depends on factors such as the average load per request, the server's available cores and memory, and whether the database server is hosted on the same server or a separate one.

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