This document provides a comprehensive guide to the data update functionality within our Mobile SDK. Whether you are a developer looking to integrate real-time data updates into your application or simply want to understand how our SDK handles data synchronization, you're in the right place.

Overview

The Mobile SDK's data update API allows you to listen for changes in your data and react accordingly. This is particularly useful for applications that require real-time updates, such as chat applications, social media, or any other platform that relies on timely data.

Key Features

  • Real-time Updates: Push updates to your application as data changes.
  • Efficient Synchronization: Minimize data transfer and improve performance.
  • Customizable Callbacks: Handle data updates based on your application's needs.

Usage

To use the data update API, you need to initialize the SDK and subscribe to the data updates. Here's a basic example:

// Initialize the SDK
initializeSDK();

// Subscribe to data updates
subscribeToDataUpdates((data) => {
  // Handle data update
  console.log('Data updated:', data);
});

Data Update Types

The data update API supports several types of updates, including:

  • Create: New data items have been added.
  • Update: Existing data items have been modified.
  • Delete: Data items have been removed.

Example: Handling Create Updates

When a new item is created, you might want to add it to your UI. Here's how you can handle this:

subscribeToDataUpdates((data) => {
  if (data.type === 'create') {
    addItemToUI(data.item);
  }
});

Performance Considerations

To ensure optimal performance, especially when dealing with large datasets or high-frequency updates, consider the following:

  • Batch Updates: Group updates and process them in batches.
  • Throttling: Limit the frequency of update callbacks to avoid overwhelming your application.

Further Reading

For more detailed information and advanced usage scenarios, please refer to our Mobile SDK Developer Guide.


Data Flow Diagram

Understanding how data flows through the system is crucial for developing efficient and responsive applications.