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Discover how to parse large network responses in small batches using `Volley` in Android, enhancing user experience and performance.
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Efficiently Handling Large Network Responses in Android with Volley

Creating a seamless user experience in Android applications often hinges on how data is fetched and processed. This is particularly true when dealing with large datasets. In this post, we’ll explore a common problem faced by developers using the Volley library for network requests: how to efficiently parse large network responses in manageable chunks to enhance user experience.

The Problem

While utilizing Volley's capabilities for making network requests, you may find that parsing a large JSON response can be time-consuming. In cases where you receive hundreds of rows of data, the delay in processing can lead to freezes or unresponsive interfaces, negatively affecting user experience.

Scenario

Let's say you have implemented the following methods in your Volley request:

[[See Video to Reveal this Text or Code Snippet]]

The challenge arises when the parsing process takes several seconds to complete before presenting any data to the user. This is not ideal, especially when you want users to interact with the UI as the data is being processed.

The Solution: Parsing in Small Batches

To resolve this issue, we can implement a batch processing strategy right within the parseNetworkResponse method. The goal is to parse and display a subset of the data (for instance, 50 rows) as quickly as possible, while the remaining data continues to be processed in the background.

Implementation Steps

Here’s how to achieve this efficient parsing:

Initialize a temporary storage for parsed data.

Monitor the size of the parsed data.

Trigger a response delivery when a specified batch size is reached.

Code Example

Below is a sample implementation to illustrate this approach:

[[See Video to Reveal this Text or Code Snippet]]

How It Works

The above snippet checks if 50 rows have been parsed. If so, it prepares a new SectionData object.

The parsed rows are added to this object and the current list sectionData is cleared for the next batch.

Using lifecycleScope.launch, the deliverResponse is called in a coroutine, ensuring it’s safe to use within the Android lifecycle, avoiding memory leaks or crashes.

Conclusion

By implementing batch parsing, developers can significantly enhance the performance and user experience of their applications. Although the solution provided is effective, it’s always a good idea to evaluate and optimize further as data sizes and network conditions change.

Based on the workaround we've shared, you can improve your app's responsiveness while reaping the benefits of using Volley for network requests. If you encounter specific challenges with your implementation, feel free to explore other strategies or optimizations.

Happy coding!