Pagination is a technique used to divide a large set of data into smaller, more manageable parts, which makes it easier to navigate through the information. In PHP, you can paginate objects such as database records, arrays, or any collections of data. Below is a simple example of how to implement pagination in PHP.
<?php
// Sample data (e.g., from a database).
$items = range(1, 100); // Array with 100 items
$itemsPerPage = 10; // Number of items to show per page
$totalItems = count($items); // Total number of items
$totalPages = ceil($totalItems / $itemsPerPage); // Total number of pages
// Get the current page from the query string, default to 1
$currentPage = isset($_GET['page']) ? (int)$_GET['page'] : 1;
$currentPage = max(1, min($currentPage, $totalPages)); // Ensure current page is valid
// Calculate the offset for the query
$offset = ($currentPage - 1) * $itemsPerPage;
// Get the items for the current page
$currentItems = array_slice($items, $offset, $itemsPerPage);
// Display current items
foreach ($currentItems as $item) {
echo "Item $item <br>";
}
// Display pagination links
for ($page = 1; $page <= $totalPages; $page++) {
echo '<a href="?page=' . $page . '>Page ' . $page . '</a> ';
}
?>
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?