Request concurrency control and resource optimization skills in PHP Huawei Cloud API interface docking

PHP Request concurrency control and resource optimization skills in connecting to Huawei Cloud API interface

When using PHP to connect to Huawei Cloud API interface, request concurrency control and resource optimization are very important. Properly controlling the number of concurrent requests and the maximum number of connections, as well as optimizing resource utilization, can significantly improve system performance and stability. Next, this article introduces some practical tips and sample code.

1. Request concurrency control

1. Multi-threaded request control

When making API requests, we can use multi-threading to improve processing efficiency . Use PHP's curl_multi_* function to control multi-threaded concurrent requests.

The following is a simple sample code that demonstrates how to use curl_multi_* functions for multi-thread request control. Suppose we need to request three API interfaces with different URLs:

<?php
// 待请求的URL列表
$urls = [
    "https://api.example.com/api1",
    "https://api.example.com/api2",
    "https://api.example.com/api3",
];

// 初始化curl
$handles = [];
$mh = curl_multi_init();

// 创建并添加curl句柄
foreach ($urls as $i => $url) {
    $handles[$i] = curl_init();
    curl_setopt($handles[$i], CURLOPT_URL, $url);
    curl_setopt($handles[$i], CURLOPT_RETURNTRANSFER, 1);
    curl_multi_add_handle($mh, $handles[$i]);
}

// 执行并发请求
$running = null;
do {
    curl_multi_exec($mh, $running);
} while ($running > 0);

// 获取请求结果
$results = [];
foreach ($handles as $i => $handle) {
    $results[$i] = curl_multi_getcontent($handle);
    curl_multi_remove_handle($mh, $handle);
    curl_close($handle);
}

// 关闭curl
curl_multi_close($mh);

// 处理并输出结果
foreach ($results as $i => $result) {
    echo "Request URL: " . $urls[$i] . ", Result: " . $result . "
";
}
?>

2. Request number control

When making API requests, we usually need to limit the number of requests per second or per minute. Number of requests to prevent request overload from causing performance degradation or being banned by the API provider. We can use PHP's timer to control the frequency of interface requests.

The following is a sample code that demonstrates how to use a timer to limit the number of requests allowed per second:

<?php
// 允许的请求次数和时间间隔
$maxRequests = 10; // 每秒允许的最大请求数量
$maxTime = 1; // 时间间隔（秒）

// 当前请求次数
$requestCount = 0;

// 请求开始时间
$requestStartTime = microtime(true);

// 模拟发送10次请求
for ($i = 1; $i <= 10; $i++) {
    usleep(100000); // 模拟请求的耗时

    // 计算请求间隔时间
    $requestEndTime = microtime(true);
    $requestInterval = $requestEndTime - $requestStartTime;

    // 如果请求次数超过限制或时间间隔超过限制，则等待剩余时间
    if ($requestCount >= $maxRequests || $requestInterval >= $maxTime) {
        $sleepTime = max(($maxTime - $requestInterval) * 1000000, 0); // 将剩余时间转换成微秒数
        usleep($sleepTime);
        $requestCount = 0;
        $requestStartTime = microtime(true);
    }

    // 发送API请求
    echo "Send request " . $i . "
";

    $requestCount++;
}

?>

2. Resource optimization tips

1. Cache

Caching is a common resource optimization technique that can reduce repeated API requests and improve system performance. In PHP, we can use various caching mechanisms, such as Redis, Memcached, file caching, etc.

The following is a sample code that demonstrates how to use Redis as a cache to optimize API requests:

<?php
// 获取Redis连接
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

// 定义需要缓存的API请求URL
$apiUrl = "https://api.example.com/api1";

// 检查Redis缓存是否存在
if ($redis->exists($apiUrl)) {
    // 获取缓存数据
    $apiData = $redis->get($apiUrl);
    echo "Get data from cache: " . $apiData . "
";
} else {
    // 发送API请求
    $apiData = file_get_contents($apiUrl);

    // 将API请求结果存入Redis缓存，并设置过期时间
    $redis->set($apiUrl, $apiData);
    $redis->expire($apiUrl, 60); // 设置缓存过期时间为60秒

    echo "Get data from API: " . $apiData . "
";
}

// 关闭Redis连接
$redis->close();
?>

2. Data batch processing

When a large amount needs to be processed When working with data, batch processing is an effective resource optimization technique. By processing multiple pieces of data at one time, the number of API requests can be reduced and system performance improved.

The following is a sample code that demonstrates how to use batch processing to reduce API requests:

<?php
// 定义批量处理的数据
$data = [
    ["name" => "Tom", "age" => 18],
    ["name" => "Jerry", "age" => 20],
    ["name" => "Alice", "age" => 22],
];

// 将数据转换成JSON格式
$jsonData = json_encode($data);

// 发送API请求
$apiUrl = "https://api.example.com/api1";
$apiData = file_get_contents($apiUrl, false, stream_context_create([
    'http' => [
        'method' => 'POST',
        'header' => 'Content-type: application/json',
        'content' => $jsonData
    ]
]));

// 处理API请求结果
$result = json_decode($apiData, true);
foreach ($result as $item) {
    echo "Name: " . $item["name"] . ", Age: " . $item["age"] . "
";
}
?>

Summary

When PHP is connected to the Huawei Cloud API interface, concurrent requests can be reasonably controlled The number and maximum number of connections, as well as optimal resource utilization, are critical to system performance and stability. This article introduces some practical tips and sample code, hoping to help you in actual development. By properly applying these techniques, the processing efficiency of API requests can be optimized and the performance and stability of the system can be improved.

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