Concurrent requests are crucial in array paging, and double locking provides a way to handle it: use global variables to store the current page and the size of each page. Obtains a mutex lock to prevent simultaneous access to a shared resource. Calculate the total number of records, the total number of pages and check whether the current page is out of range. Calculate the offset and use array_slice() to get the paginated data. Returns the paged data after releasing the mutex lock.
Handling of concurrent requests in PHP array paging
Concurrent requests refer to coming from multiple browsers or users at the same time end request. In array paging, handling concurrent requests is important because it prevents data inconsistencies when multiple users access the same page.
Scheme: Double Locking
Double locking is a commonly used concurrency control technique that ensures that only one thread can access shared resources at the same time. In array paging, we can use double locking to handle concurrent requests:
$currentPage = 1; // 当前页 $pageSize = 10; // 每页大小 $array = []; // 要分页的数组 // 双重锁定 function getPaginatedData() { global $currentPage, $pageSize, $array; $lock = new Mutex(); $lock->lock(); // 获得锁 $totalRecords = count($array); $totalPages = ceil($totalRecords / $pageSize); if ($currentPage > $totalPages) { $currentPage = $totalPages; } $offset = ($currentPage - 1) * $pageSize; $paginatedArray = array_slice($array, $offset, $pageSize); $lock->unlock(); // 释放锁 return $paginatedArray; }
Practical case
Suppose we have an array containing 100 elements and want The page displays 10 elements. Now, two users are requesting data for page 3 at the same time.
If double locking is not used, two users may access the array at the same time, resulting in data inconsistency. However, with double locking, only one user can access the array at the same time, thus ensuring data integrity.
Conclusion
Double locking is an effective solution for handling concurrent requests in PHP array pagination. It ensures that only one thread can access shared resources at the same time, thus preventing data inconsistency.
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