Struggling with excess HTTP requests from UI components. Any suggestions on how to streamline this?

Imagine a scenario where we have a complex javascript client application with numerous UI components/widgets, each with its own endpoint to fetch data.

Upon loading the page, these components will trigger multiple http requests to different endpoints.

It is evident that heavy client-side architecture leads to an increase in the number of http requests compared to traditional server-side rendering of UI elements.

For example:

  • Widget A requests resource A
  • Widget B requests resource B

To minimize http requests, we could potentially have:

  • A parent widget requesting an endpoint that returns {resource A, resource B}
  • The parent widget then distributes the data to Widget A and Widget B accordingly

This approach involves grouping related widgets based on business logic for efficiency.

However, not all scenarios can be structured this way. Even if they can, how can we maintain code modularity? Are there any established design patterns for optimizing performance in large javascript applications? It's possible I may be overthinking without concrete data at hand. What are your thoughts?

Answer №1

To begin with, I suggest developing a JavaScript library specifically for clients to manage data fetching and sending, ensuring that all widgets utilize this unified API.

By centralizing the flow of data between widgets in one location, you can effectively optimize and group your data management processes.

Answer №2

A potential solution that comes to mind involves consolidating AJAX requests on the client side through a centralized Javascript interface controlled by you. This approach, while not reducing data transfer, can minimize the number of HTTP requests made.

Instead of triggering an individual HTTP request for each UI action, you could implement a system where multiple requests within a brief timespan are batched together and sent as a single HTTP request (taking care to apply this strategy selectively for server-bound requests).

To handle these batches efficiently, consider setting up a dedicated "batched" endpoint on the server to process the grouped requests simultaneously, resulting in a consolidated response back to the originating sources.

It's important to note that this method is most effective when all requests have similar processing times, preventing delays caused by one lengthy request holding up the entire batch. Implementing a blacklist or similar mechanism may help address such scenarios.

Additionally, prioritize servicing requests based on urgency to optimize overall performance.

Answer №3

It seems like you're looking for a centralized queue system to handle all data requests. Instead of each widget making individual requests, they can queue up specific requests. Then, a single piece of code can analyze the queued requests and optimize them by combining multiple data requests into one.

This design pattern allows for modular widgets while efficiently managing request optimization in a shared code library.

The technical implementation involves creating a function to add requests to the queue. This function would need details such as the endpoint, callback function for when the data is available, and a description of the request. Each widget would then use this common function to make its data requests.

Upon adding a request to the queue, a setTimeout() is set for 0ms (if not already set). Once the current thread of execution finishes, the setTimeout() triggers, allowing the code to examine the queue. Requests to the same endpoint can be combined into a single request, which is then sent out. Upon receiving the data, it is divided accordingly and the respective widget's callback is executed.

In addition, this layer could also include caching functionality to store frequently accessed data for improved performance.

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