压测脚本中创建了一个 PyDict
,分别读写 PHP
代码和 Python
代码执行 1000万次
。
PHP 版本
:PHP 8.2.3 (cli) (built: Mar 17 2023 15:06:57) (NTS)
Python 版本
:Python 3.11.5
- 操作系统:
Ubuntu 20.04
GCC 版本
:gcc version 9.4.0 (Ubuntu 9.4.0-1ubuntu1~20.04.2)
请注意此测试需要构造一个
1000
万元素的HashTable
,需要至少2G
以上内存空间才可以运行
<?php
$dict = new PyDict();
const COUNT = 10000000;
$n = COUNT;
$s = microtime(true);
while ($n--) {
$dict['key-' . $n] = $n * 3;
}
echo 'dict set: ' . round(microtime(true) - $s, 6) . ' seconds' . PHP_EOL;
$c = 0;
$n = COUNT;
$s = microtime(true);
while ($n--) {
$c += $dict['key-' . $n];
}
echo 'dict get: ' . round(microtime(true) - $s, 6) . ' seconds' . PHP_EOL;
import time
my_dict = {}
COUNT = 10000000
n = COUNT
start_time = time.time()
for i in range(n):
my_dict["key-" + str(i)] = i * 3
elapsed_time = time.time() - start_time
print(f"dict set: {elapsed_time:.6f} seconds")
n = COUNT
total = 0
start_time_get = time.time()
for i in range(n):
total += my_dict["key-" + str(i)]
elapsed_time_get = time.time() - start_time_get
print(f"dict get: {elapsed_time_get:.6f} seconds")
<?php
ini_set('memory_limit', '2G');
$dict = [];
const COUNT = 10000000;
$n = COUNT;
$s = microtime(true);
while ($n--) {
$dict['key-' . $n] = $n * 3;
}
echo 'array set: ' . round(microtime(true) - $s, 6) . ' seconds' . PHP_EOL;
$c = 0;
$n = COUNT;
$s = microtime(true);
while ($n--) {
$c += $dict['key-' . $n];
}
echo 'array get: ' . round(microtime(true) - $s, 6) . ' seconds' . PHP_EOL;
(base) htf@swoole-12:~/workspace/python-php/docs/benchmark$ php dict.php
dict set: 4.663758 seconds
dict get: 3.980076 seconds
(base) htf@swoole-12:~/workspace/python-php/docs/benchmark$ php array.php
array set: 1.578963 seconds
array get: 0.831129 seconds
(base) htf@swoole-12:~/workspace/python-php/docs/benchmark$ python dict.py
dict set: 5.321664 seconds
dict get: 4.969081 seconds
(base) htf@swoole-12:~/workspace/python-php/docs/benchmark$
以 Python
测试为基准:
脚本名称 | Set | Get |
---|---|---|
dict.php | 114% | 125% |
array.php | 337% | 599% |
phpy
以PHP
代码写入PyDict
的性能比原生Python
高14%
,读取性能高25%
PHP
写入PHP Array
的性能比Python 写入 Dict
高237%
,读取高出了近500%