Position actuelle: Accueil> Derniers articles> Comment dépanner les goulots d'étranglement des performances lors de l'utilisation de la fonction COSH de PHP pour le calcul de la boucle? Quelles sont les suggestions d'optimisation?

Comment dépanner les goulots d'étranglement des performances lors de l'utilisation de la fonction COSH de PHP pour le calcul de la boucle? Quelles sont les suggestions d'optimisation?

gitbox 2025-06-12

在进行数值计算密集型操作时 , 即使是诸如Cosh ()这样的标准数学函数 , 也可能成为性能瓶颈的来源。 Cosh ()是 Php 中计算双曲余弦的内置函数 , 广泛用于物理模拟、金融建模或其他科学计算中。当它在循环中被频繁调用时 , 就有可能出现性能下降的问题。

本文将以Cosh ()函数为例 , 分析在 Php 中如何排查性能瓶颈 , 并给出相应的优化建议。

一、性能瓶颈排查方法

1. 使用 MicroTime () 精准测量耗时

最基础的方式是使用Microme (vrai)对循环进行包裹 , ::

 <span><span><span class="hljs-meta"><?php</span></span><span>
</span><span><span class="hljs-variable">$start</span></span><span> = </span><span><span class="hljs-title function_ invoke__">microtime</span></span><span>(</span><span><span class="hljs-literal">true</span></span><span>);

</span><span><span class="hljs-keyword">for</span></span><span> (</span><span><span class="hljs-variable">$i</span></span><span> = </span><span><span class="hljs-number">0</span></span><span>; </span><span><span class="hljs-variable">$i</span></span><span> < </span><span><span class="hljs-number">1000000</span></span><span>; </span><span><span class="hljs-variable">$i</span></span><span>++) {
    </span><span><span class="hljs-variable">$result</span></span><span> = </span><span><span class="hljs-title function_ invoke__">cosh</span></span><span>(</span><span><span class="hljs-variable">$i</span></span><span> * </span><span><span class="hljs-number">0.0001</span></span><span>);
}

</span><span><span class="hljs-variable">$end</span></span><span> = </span><span><span class="hljs-title function_ invoke__">microtime</span></span><span>(</span><span><span class="hljs-literal">true</span></span><span>);
</span><span><span class="hljs-keyword">echo</span></span><span> </span><span><span class="hljs-string">"&#25191;&#34892;&#26102;&#38388;: "</span></span><span> . (</span><span><span class="hljs-variable">$end</span></span><span> - </span><span><span class="hljs-variable">$start</span></span><span>) . </span><span><span class="hljs-string">" &#31186;"</span></span><span>;
</span><span><span class="hljs-meta">?></span></span><span>
</span></span>

通过这种方式可以初步判断是否Cosh ()函数成为了主要的性能消耗源。

2. 使用 xdebug + webgrind 可视化分析

Xdebug 是 php 的强大调试和性能分析工具 , 通过它配合 webgrind 或 qcachegrind , 可以详细分析函数调用的耗时。

安装完 xdebug 后 , : :

 <span><span><span class="hljs-attr">xdebug.mode</span></span><span>=profile
</span><span><span class="hljs-attr">xdebug.output_dir</span></span><span>=</span><span><span class="hljs-string">"/tmp"</span></span><span>
</span></span>

运行目标脚本后 , 会生成.Cachegrind文件 , 然后通过 webgrind 打开分析 , 查看Cosh ()函数在整个调用栈中所占时间比例。

更多信息可以参考 : https://gitbox.net/docs/php-xdebug-profiler-usage

3. 分析内存占用与 CPU 使用情况

如果你运行的是长时间执行的 Php 脚本 (如 CLI 任务) , 可以使用TOPHTOP等命令实时查看 PHP 进程的 CPU 和内存使用状况。也可以在脚本中使用Memory_get_usage ()进行内存快照记录。

二、优化建议

1. 减少不必要的Cosh ()调用

如果COSH ()函数的参数是重复的或可以被缓存 , 可以使用数组缓存其结果 , ::

 <span><span><span class="hljs-meta"><?php</span></span><span>
</span><span><span class="hljs-variable">$cache</span></span><span> = [];
</span><span><span class="hljs-keyword">for</span></span><span> (</span><span><span class="hljs-variable">$i</span></span><span> = </span><span><span class="hljs-number">0</span></span><span>; </span><span><span class="hljs-variable">$i</span></span><span> < </span><span><span class="hljs-number">1000000</span></span><span>; </span><span><span class="hljs-variable">$i</span></span><span>++) {
    </span><span><span class="hljs-variable">$arg</span></span><span> = </span><span><span class="hljs-variable">$i</span></span><span> * </span><span><span class="hljs-number">0.0001</span></span><span>;
    </span><span><span class="hljs-keyword">if</span></span><span> (!</span><span><span class="hljs-keyword">isset</span></span><span>(</span><span><span class="hljs-variable">$cache</span></span><span>[</span><span><span class="hljs-variable">$arg</span></span><span>])) {
        </span><span><span class="hljs-variable">$cache</span></span><span>[</span><span><span class="hljs-variable">$arg</span></span><span>] = </span><span><span class="hljs-title function_ invoke__">cosh</span></span><span>(</span><span><span class="hljs-variable">$arg</span></span><span>);
    }
    </span><span><span class="hljs-variable">$result</span></span><span> = </span><span><span class="hljs-variable">$cache</span></span><span>[</span><span><span class="hljs-variable">$arg</span></span><span>];
}
</span><span><span class="hljs-meta">?></span></span><span>
</span></span>

2. 精简精度 , 换用近似算法

对于一些应用场景 , 特别是图形渲染或实时性要求较高的系统 , 可以考虑用双曲余弦的泰勒级数近似实现来替代内置函数。

 <span><span><span class="hljs-meta"><?php</span></span><span>
</span><span><span class="hljs-function"><span class="hljs-keyword">function</span></span></span><span> </span><span><span class="hljs-title">cosh_approx</span></span><span>(</span><span><span class="hljs-params"><span class="hljs-variable">$x</span></span></span><span>, </span><span><span class="hljs-variable">$terms</span></span><span> = </span><span><span class="hljs-number">5</span></span><span>) {
    </span><span><span class="hljs-variable">$sum</span></span><span> = </span><span><span class="hljs-number">0</span></span><span>;
    </span><span><span class="hljs-keyword">for</span></span><span> (</span><span><span class="hljs-variable">$n</span></span><span> = </span><span><span class="hljs-number">0</span></span><span>; </span><span><span class="hljs-variable">$n</span></span><span> < </span><span><span class="hljs-variable">$terms</span></span><span>; </span><span><span class="hljs-variable">$n</span></span><span>++) {
        </span><span><span class="hljs-variable">$sum</span></span><span> += </span><span><span class="hljs-title function_ invoke__">pow</span></span><span>(</span><span><span class="hljs-variable">$x</span></span><span>, </span><span><span class="hljs-number">2</span></span><span> * </span><span><span class="hljs-variable">$n</span></span><span>) / </span><span><span class="hljs-title function_ invoke__">gmp_intval</span></span><span>(</span><span><span class="hljs-title function_ invoke__">gmp_fact</span></span><span>(</span><span><span class="hljs-number">2</span></span><span> * </span><span><span class="hljs-variable">$n</span></span><span>));
    }
    </span><span><span class="hljs-keyword">return</span></span><span> </span><span><span class="hljs-variable">$sum</span></span><span>;
}
</span></span>

注意这种方式适用于参数范围较小的情形 , 且结果精度需评估。

3. 使用多进程或多线程处理

在 CLI 环境中 , 如果要并行处理大量数据 , 可以使用PCNTL_FORK ()或者Parallèle扩展进行任务并发 , : :

 <span><span><span class="hljs-meta"><?php</span></span><span>
</span><span><span class="hljs-variable">$processes</span></span><span> = </span><span><span class="hljs-number">4</span></span><span>;
</span><span><span class="hljs-variable">$segment</span></span><span> = </span><span><span class="hljs-number">250000</span></span><span>;

</span><span><span class="hljs-keyword">for</span></span><span> (</span><span><span class="hljs-variable">$i</span></span><span> = </span><span><span class="hljs-number">0</span></span><span>; </span><span><span class="hljs-variable">$i</span></span><span> < </span><span><span class="hljs-variable">$processes</span></span><span>; </span><span><span class="hljs-variable">$i</span></span><span>++) {
    </span><span><span class="hljs-variable">$pid</span></span><span> = </span><span><span class="hljs-title function_ invoke__">pcntl_fork</span></span><span>();
    </span><span><span class="hljs-keyword">if</span></span><span> (</span><span><span class="hljs-variable">$pid</span></span><span> === </span><span><span class="hljs-number">0</span></span><span>) {
        </span><span><span class="hljs-keyword">for</span></span><span> (</span><span><span class="hljs-variable">$j</span></span><span> = </span><span><span class="hljs-variable">$i</span></span><span> * </span><span><span class="hljs-variable">$segment</span></span><span>; </span><span><span class="hljs-variable">$j</span></span><span> < (</span><span><span class="hljs-variable">$i</span></span><span> + </span><span><span class="hljs-number">1</span></span><span>) * </span><span><span class="hljs-variable">$segment</span></span><span>; </span><span><span class="hljs-variable">$j</span></span><span>++) {
            </span><span><span class="hljs-variable">$result</span></span><span> = </span><span><span class="hljs-title function_ invoke__">cosh</span></span><span>(</span><span><span class="hljs-variable">$j</span></span><span> * </span><span><span class="hljs-number">0.0001</span></span><span>);
        }
        </span><span><span class="hljs-keyword">exit</span></span><span>;
    }
}
</span><span><span class="hljs-keyword">while</span></span><span> (</span><span><span class="hljs-title function_ invoke__">pcntl_waitpid</span></span><span>(</span><span><span class="hljs-number">0</span></span><span>, </span><span><span class="hljs-variable">$status</span></span><span>) !== -</span><span><span class="hljs-number">1</span></span><span>);
</span><span><span class="hljs-meta">?></span></span><span>
</span></span>

4. 考虑调用更高效的 C 扩展或通过 FFI

对于极限性能需求 , 可以考虑将部分计算用 C 编写为扩展模块 , 或使用 PHP 7.4+ 的 Ffi 功能 , 调用外部的高性能数学库。

更多示例详见https://gitbox.net/articles/php-ffi-performance-math

三、结语

虽然 Php 并非为高性能科学计算设计 , 但通过合理的优化策略 , 仍然可以在某些场景下发挥其潜力。在使用如Cosh ()这类数学函数进行大规模循环计算时 , 务必借助性能分析工具找出瓶颈 , 并采用缓存、并行处理或本地扩展等方式加以优化。这样既能提升运行效率 , 又能保持代码的可维护性与稳定性。