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How to Ensure a Responsive UI When Processing Large Arrays?

Mary-Kate Olsen
Mary-Kate OlsenOriginal
2024-11-04 10:59:30811browse

How to Ensure a Responsive UI When Processing Large Arrays?

Asynchronous Iteration for Unresponsive UI Operations

When iterating over large arrays and performing lengthy operations that can impede user interaction, it becomes crucial to adopt strategies that maintain the responsiveness of the user interface. This guide explores two approaches to achieve this, both with and without web workers.

Non-WebWorker Solution

For operations involving DOM manipulation or other state-dependent tasks, using web workers is impractical. The recommended approach is to break down the work into smaller chunks and execute them asynchronously using a timer. This allows the browser to process events and update the UI between each chunk, preventing interruptions in user input and display updates.

The code below demonstrates this technique:

<code class="javascript">function processLargeArray(array) {
    // Process 100 items per chunk
    var chunkSize = 100;
    var index = 0;
    function doChunk() {
        for (var i = 0; i < chunkSize && index < array.length; i++) {
            // Process array[index] here
            ++index;
        }
        if (index < array.length) {
            // Schedule next async chunk
            setTimeout(doChunk, 1);
        }
    }    
    doChunk();    
}

processLargeArray(veryLargeArray);</code>

You can extend the above code to a generic function that accepts a callback, similar to the forEach() method:

<code class="javascript">function processLargeArrayAsync(array, fn, chunkSize, context) {
    context = context || window;
    chunkSize = chunkSize || 100;
    var index = 0;
    function doChunk() {
        for (var i = 0; i < chunkSize && index < array.length; i++) {
            // Callback called with args (value, index, array)
            fn.call(context, array[index], index, array);
            ++index;
        }
        if (index < array.length) {
            // Schedule next async chunk
            setTimeout(doChunk, 1);
        }
    }    
    doChunk();    
}

processLargeArrayAsync(veryLargeArray, myCallback, 100);</code>

For finer control over the async execution, you can specify a maximum time limit per chunk instead of a fixed chunk size:

<code class="javascript">function processLargeArrayAsync(array, fn, maxTimePerChunk, context) {
    context = context || window;
    maxTimePerChunk = maxTimePerChunk || 200;
    var index = 0;

    function now() {
        return new Date().getTime();
    }

    function doChunk() {
        var startTime = now();
        while (index < array.length && (now() - startTime) <= maxTimePerChunk) {
            // Callback called with args (value, index, array)
            fn.call(context, array[index], index, array);
            ++index;
        }
        if (index < array.length) {
            // Schedule next async chunk
            setTimeout(doChunk, 1);
        }
    }    
    doChunk();    
}

processLargeArrayAsync(veryLargeArray, myCallback);</code>

WebWorker Solution

If your loop code doesn't interact with the DOM or other browser state, you can leverage web workers to execute the operations in a separate thread. Web workers run independently and communicate results back to the main thread via postMessage. This approach ensures that the UI thread remains responsive while the heavy computations take place in the background. However, note that you'll need to move the code that runs in the web worker to a separate script file.

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