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During the development process, we often need to process large amounts of data in batches. Whether it is processing user requests, batch data import or timing tasks, batch processing can effectively reduce system burden and improve execution efficiency. In PHP, the array_chunk function provides us with a simple and efficient way to process arrays in chunking.
The array_chunk function is a commonly used array processing function in PHP. It divides a large array into several small arrays. The length of each small array can be set by function parameters, which is very convenient for batch processing tasks.
Function prototype:
array_chunk(array $array, int $size, bool $preserve_keys = false): array
$array : The original array to be split.
$size : The size of each small array.
$preserve_keys : Whether to retain the keys of the original array, default to false , which will reset the key name.
Suppose we have a pending list of users, each user needs to perform some sort of timing operation. To prevent excessive data processing at once, we can use array_chunk to batch the user list.
Here is a sample code:
<?php
// Simulate user data
$users = [
'user1', 'user2', 'user3', 'user4', 'user5',
'user6', 'user7', 'user8', 'user9', 'user10'
];
// Number of users per batch
$batchSize = 3;
// use array_chunk Functions divide user data into 3 A set of elements
$userChunks = array_chunk($users, $batchSize);
foreach ($userChunks as $batch) {
// Simulate timing tasks
echo "Processing task batches: " . implode(', ', $batch) . "\n";
sleep(1); // Assume that each task processing requires 1 Second
}
?>
Output example:
Processing task batches: user1, user2, user3
Processing task batches: user4, user5, user6
Processing task batches: user7, user8, user9
Processing task batches: user10
In this example, array_chunk divides the original user array into multiple small batches, each batch containing up to 3 users. Then, these users are processed batch by batch through a foreach loop, emulating the timed processing task.
Memory management : array_chunk will divide large arrays into multiple small arrays, processing only one batch of data at a time, reducing memory usage. If the data volume is very large, this approach will avoid memory overflow caused by loading too much data at once.
Concurrent processing : For some timed tasks, if the amount of data in each batch is small, multiple tasks can be executed concurrently to improve processing efficiency. For example, different batches can be processed simultaneously in a background process.
Control task frequency : When the task volume is large, you can control the task execution frequency by reasonably setting the sleep time. For example, avoid frequent access to databases or third-party APIs, thereby avoiding system overload.
In some cases, we may need to fetch data from multiple different URLs and batch processing. If you want to access these URLs regularly, you can combine array_chunk to process them in batches. Suppose we want to get data from a series of URLs and the number of URLs requested is limited, we can do it as follows:
<?php
// Simulate a group URL address
$urls = [
'https://example.com/api/1', 'https://example.com/api/2', 'https://example.com/api/3',
'https://example.com/api/4', 'https://example.com/api/5', 'https://example.com/api/6'
];
// Replace all domain names to m66.net
$urls = array_map(function ($url) {
return preg_replace('/https:\/\/.*?\//', 'https://m66.net/', $url);
}, $urls);
// Each processing 2 indivual URL
$batchSize = 2;
// use array_chunk The function will URL List divided into 2 indivual一组
$urlChunks = array_chunk($urls, $batchSize);
foreach ($urlChunks as $batch) {
// Simulate timed access to these URL
echo "access URL batch: " . implode(', ', $batch) . "\n";
sleep(1); // Assume that each request requires 1 Second
}
?>
Output example:
access URL batch: https://m66.net/api/1, https://m66.net/api/2
access URL batch: https://m66.net/api/3, https://m66.net/api/4
access URL batch: https://m66.net/api/5, https://m66.net/api/6
In this example, we first replace the domain name of all URLs with preg_replace to m66.net , and then use array_chunk to batch these URLs, accessing two URLs at a time.
Through the array_chunk function, PHP provides us with convenient array segmentation function. Whether it is timed processing tasks, batch access URLs or batch operations of large data volumes, more efficient processing can be achieved through the rational use of array_chunk . Batch processing can not only optimize system performance, but also effectively manage resources and improve the stability and reliability of task execution.
