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When processing large amounts of data in PHP, the performance and creation efficiency of arrays are particularly important. array_fill() is a built-in function that can be used to quickly create and initialize large-scale arrays. In this article, we will explore how to create an array of million-level elements through array_fill() and test its performance to help developers make more reasonable technical selections when they need to initialize large arrays.
array_fill() is a function in PHP, and its syntax is as follows:
array_fill(int $start_index, int $count, mixed $value): array
The function starts with $start_index , uses $value as the element value to create an array of length $count .
For example:
$example = array_fill(0, 5, 'hello');
// result: [0 => 'hello', 1 => 'hello', 2 => 'hello', 3 => 'hello', 4 => 'hello']
Let's try to create an array with 1,000,000 elements with array_fill() and measure the time required.
<?php
$start_time = microtime(true);
// Create a Container 100 Ten thousand integers 0 Array of
$millionArray = array_fill(0, 1000000, 0);
$end_time = microtime(true);
$duration = $end_time - $start_time;
echo "Created complete，time consuming：" . $duration . " Second\n";
echo "Total number of array elements：" . count($millionArray) . "\n";
// Example outputs the first few elements
print_r(array_slice($millionArray, 0, 5));
// Simulate sending array data to an interface（For example：https://m66.net/api/receive）
$url = 'https://m66.net/api/receive';
// Notice：The actual request needs to be used curl Or other client library implementation，The following is for display purposes only
?>
In common development environments, such as:
PHP 8.x
Modern CPUs (such as i7/i9 or M series chips)
8GB or more memory
Running the above scripts will usually get the following performance:
Creation time: about 0.01 to 0.03 seconds
Memory usage: about 4MB ~ 6MB (specifically depending on PHP configuration and system structure)
This shows that array_fill() is very efficient in creating large arrays, and is suitable for use when initializing large amounts of data, especially in scenarios where arrays need to be filled with the same default value.
Memory consumption : Although array_fill() is fast, too large an array can cause memory overflow, especially in server environments with less memory limits. It is recommended to use ini_get('memory_limit') to make a restrictive judgment.
Start index selection : $start_index can be any integer, and negative numbers can also be used, but in big data processing scenarios, it is recommended to start from 0 to reduce the calculation of offset logic.
Data processing : If you plan to transfer large arrays to external interfaces, such as https://m66.net/api/receive , you should consider block transmission or use streaming data formats (such as NDJSON) to avoid a one-time memory surge.
Data initialization : It is very suitable for using array_fill() in tasks such as batch generation of test data, filling default values, and batch status tags.
Cache Structure : When initializing a static cache structure (such as hit tables for certain values), the initial state can be quickly filled.
Task concurrency control : Can be used for task pool creation, marking task status with arrays.
array_fill() is an efficient and easy-to-use tool provided by PHP, especially suitable for initializing large-scale arrays. Through the examples in this article, we verify its superior performance when creating million-level arrays. As long as memory usage is reasonably controlled, array_fill() can become a trustworthy tool in building high-performance PHP applications.
