PHP Linux script tuning tips: ways to improve performance

PHP Linux script tuning skills: Methods to improve performance require specific code examples

Introduction:
In development and operation and maintenance, we often encounter When it is necessary to optimize and improve performance. For Linux scripts developed using PHP, optimization is extremely critical. This article will introduce some PHP Linux script tuning techniques and methods, and give specific code examples to help readers better understand and apply them.

1. Use appropriate data structures
Choosing appropriate data structures can greatly improve the running efficiency of the script. Commonly used data structures include arrays and hash tables. By rationally using these data structures, we can optimize the running efficiency of the script.

Sample code:

//Use array as cache
$cache = [];

function getData($key)
{

global $cache;

// 先从缓存中查找数据
if(isset($cache[$key])) {
    return $cache[$key];
}

// 如果缓存中不存在，则从数据库中获取数据
$data = fetchDataFromDatabase($key);

// 存入缓存
$cache[$key] = $data;

return $data;

}

// Use hash table to store data
$data = [

'key1' => 'value1',
'key2' => 'value2',
// ...

];

function getData($key)
{

global $data;

// 直接通过键获取数据
if(isset($data[$key])) {
    return $data[$key];
}

return null;

}

2. Use cache
For some calculation-intensive operations or frequently accessed interfaces, we can use cache to avoid repeated calculations or repeated queries to the database, thereby improving script performance. This can be achieved using caching tools such as Redis and Memcached.

Sample code:

// Using Redis cache
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

function getData($key)
{

global $redis;

// 先从缓存中获取数据
$data = $redis->get($key);

if($data !== null) {
    return $data;
}

// 如果缓存中不存在，则从数据库中获取数据
$data = fetchDataFromDatabase($key);

// 存入缓存
$redis->set($key, $data);

return $data;

}

3. Use multi-process or multi-thread
For some long-time operations, We can use multi-process or multi-threading to improve the concurrency performance of the script. By decomposing the task into multiple subtasks and processing them in parallel, the execution time of the script can be greatly shortened.

Sample code:

//Use multiple processes
$processes = 4; //Set the number of processes

for ($i = 0; $i < $processes; $i ) {

$pid = pcntl_fork();

if ($pid < 0) {
    exit("fork failed");
} elseif ($pid == 0) {
    // 子进程处理任务
    processTask($i);

    exit();
} else {
    // 父进程继续创建子进程
    continue;
}

}

// Wait for the child process to end
while (pcntl_waitpid(0, $status) != -1) {

$status = pcntl_wexitstatus($status);
// 处理子进程执行结果
// ...

}

//Use multi-threading
$threads = 4; //Set the number of threads

for ($i = 0; $i < $threads; $i ) {

$thread = new Thread("processTask", $i);
$thread->start();

}

// Wait for the thread to end
foreach ($threads as $thread) {

$thread->join();

}

Summary:
The above are several methods and techniques for optimizing the performance of PHP Linux scripts, and specific code examples are provided. In actual development and operation and maintenance, we need to choose the appropriate optimization method according to the actual situation. Through reasonable data structure selection, use of cache, and multi-process/multi-threading, we can improve the performance of the script and improve the throughput and response speed of the system.

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