The following example demonstrates how to chunk objects using the Standard PHP Library (SPL). SPL provides a convenient way to manage collections of objects. Here, we utilize `ArrayObject` and `SplFixedArray` to chunk objects effectively.
<?php // Create an ArrayObject of items $items = new ArrayObject([ (object) ['id' => 1, 'name' => 'Item 1'], (object) ['id' => 2, 'name' => 'Item 2'], (object) ['id' => 3, 'name' => 'Item 3'], (object) ['id' => 4, 'name' => 'Item 4'], (object) ['id' => 5, 'name' => 'Item 5'], (object) ['id' => 6, 'name' => 'Item 6'] ]); // Define the chunk size $chunkSize = 2; $chunks = new SplFixedArray(ceil($items->count() / $chunkSize)); // Split items into chunks for ($i = 0; $i < $items->count(); $i += $chunkSize) { $chunks[$i / $chunkSize] = $items->slice($i, $chunkSize); } // Display the chunks foreach ($chunks as $chunk) { echo "<div class='chunk'>"; foreach ($chunk as $item) { echo "<p>ID: {$item->id}, Name: {$item->name}</p>"; } echo "</div>"; } ?>
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?