运行 Drupal 基准测试的 PHP 比应有的速度慢
最初,我将其发布在 ServerFault 上...但也许这更多是一个 PHP 语言问题。
我有一台运行频率为 2.5GHz 的双至强四核 L5420 服务器。我一直在优化我的服务器,并遇到了最后的瓶颈:PHP。
我非常简单的 PHP 脚本:
./test.php
<?php print_r(posix_getpwuid(posix_getuid()));
我的不那么科学,因为他们不注意线程锁定,但科学足够给我一个-合理的多线程请求每秒结果脚本:
./benchmark-php
#!/bin/bash
if [ -z $1 ]; then
LIMIT=10
else
LIMIT=$1
fi
if [ -z $2 ]; then
SCRIPT="index.php"
else
SCRIPT=$2
fi
START=$(date +%s.%N)
COUNT=0
while (( $COUNT < $LIMIT ))
do
php $SCRIPT > /dev/null
COUNT=$(echo "$COUNT + 1" | bc)
done
END=$(date +%s.%N)
DIFF=$(echo "$END - $START" | bc)
REQS_PER_SEC=$(echo "scale=2; $COUNT / $DIFF" | bc)
echo $REQS_PER_SEC
./really-benchmark-php
#!/bin/bash
if [ -z $1 ]; then
LIMIT=10
else
LIMIT=$1
fi
if [ -z $2 ]; then
THREADS=16
else
THREADS=$2
fi
if [ -z $3 ]; then
SCRIPT="index.php"
else
SCRIPT=$3
fi
PIDS=""
echo '' > results
for thread in `seq 1 $THREADS`; do
./benchmark-php $LIMIT $SCRIPT >> results &
PIDS="$PIDS $!"
done
for PID in $PIDS; do
wait $PID
done
RESULTS=`cat results`
MATH="0"
for RESULT in $RESULTS; do
MATH="$MATH + $RESULT"
done
echo "$MATH" | bc
运行结果 ./really-benchmark-php 100 8 test.php 每秒约 137 个请求。
在由 sqlite 或 mysql 驱动的 Drupal 实例上运行相同的脚本会返回 ~1.5 req/s。
我已经安装了 APC 和 mem_cache,并且我已经验证它们正在默认运行。 (是的,APC 的enable_cli 也打开了。)有人知道“让 PHP 执行得更快”这个神奇的开关吗?
我有一个替代配置设置(FPM/FastCGI),可以为 MySQL Drupal 安装提供约 140 个请求/秒的服务...如果 PHP 本身甚至无法从命令行提供 2 个请求/秒的服务,那怎么可能?
ab
工具的结果对我来说也一样低:
静态页面:ab -n 1000 -c 100 http://xxxx/
每秒请求数:683.71
test php :ab -n 100 -c 5 http://xxxx/每秒请求数:41.38
drupal-mysql:ab -n 100 -c 10 http://xxxx/drupal/ 每秒请求数:0.24
drupal-sqlite:ab -n 100 -c 10 http://xxxx/drupal-test/
每秒请求数:4.92
Originally, I posted this on ServerFault... but perhaps it is more of a PHP lingual question.
I have a server with Dual Xeon Quad Core L5420 running at 2.5GHz. I've been optimizing my server, and have come to my final bottleneck: PHP.
My very simple PHP script:
./test.php
<?php print_r(posix_getpwuid(posix_getuid()));
My not-so-scientific-because-they-don't-pay-attention-to-thread-locking-but-scientific-enough-to-give-me-a-reasonable-multithreaded-requests-per-second-result scripts:
./benchmark-php
#!/bin/bash
if [ -z $1 ]; then
LIMIT=10
else
LIMIT=$1
fi
if [ -z $2 ]; then
SCRIPT="index.php"
else
SCRIPT=$2
fi
START=$(date +%s.%N)
COUNT=0
while (( $COUNT < $LIMIT ))
do
php $SCRIPT > /dev/null
COUNT=$(echo "$COUNT + 1" | bc)
done
END=$(date +%s.%N)
DIFF=$(echo "$END - $START" | bc)
REQS_PER_SEC=$(echo "scale=2; $COUNT / $DIFF" | bc)
echo $REQS_PER_SEC
./really-benchmark-php
#!/bin/bash
if [ -z $1 ]; then
LIMIT=10
else
LIMIT=$1
fi
if [ -z $2 ]; then
THREADS=16
else
THREADS=$2
fi
if [ -z $3 ]; then
SCRIPT="index.php"
else
SCRIPT=$3
fi
PIDS=""
echo '' > results
for thread in `seq 1 $THREADS`; do
./benchmark-php $LIMIT $SCRIPT >> results &
PIDS="$PIDS $!"
done
for PID in $PIDS; do
wait $PID
done
RESULTS=`cat results`
MATH="0"
for RESULT in $RESULTS; do
MATH="$MATH + $RESULT"
done
echo "$MATH" | bc
The result of running ./really-benchmark-php 100 8 test.php
is ~137 requests per second.
Running the same script on a sqlite or mysql powered instance of Drupal returns ~1.5 req/s.
I have APC and mem_cache both installed, and I have verified that they're running on defaults. (Yes, APC's enable_cli is on, also.) Does someone know the magic "make PHP execute faster" switch?
I have an alternative configuration setup (FPM/FastCGI) that serves ~140 req/s of the MySQL Drupal install... how could that be possible if PHP itself can't even serve 2 req/s from the command line?
The result of the ab
tool feel just as low to me:
static page: ab -n 1000 -c 100 http://x.x.x.x/
Requests per second: 683.71
test php: ab -n 100 -c 5 http://x.x.x.x/
Requests per second: 41.38
drupal-mysql: ab -n 100 -c 10 http://x.x.x.x/drupal/
Requests per second: 0.24
drupal-sqlite: ab -n 100 -c 10 http://x.x.x.x/drupal-test/
Requests per second: 4.92
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Drupal Core(未优化、未缓存、没有 APC 对于性能/每秒页面浏览量来说非常糟糕)。
长话短说。使用 Varnish 或其他一些反向代理缓存。
总体而言,非常令人印象深刻。我每秒可以处理的页面请求量增加了 167407.84%。
这是性能上的差异,
这是我帖子中的一些相关片段,显示了不同的数字。
测试 1(获取起始基准)
运行 apache 基准
ab -k -n 100 -c 100 -g step1.txt http://example.com/how-it-works
好的,所以这个请求完全杀死了我的服务器。
参见下图。
因此,我决定减少请求,以便找出每秒的沼泽标准请求。我处理了 100 个请求,并发级别为 2。
结果是这样的:
Test 2 APC Enabled
然后我重复了测试,但启用了 APC。
正如您所看到的,这显然更好。但仍然糟糕。每秒 1 个请求!?哈哈。那太可怕了。
测试 3 - 启用 Drupal 核心缓存
然后我启用了 Drupal 核心缓存...并重复了 apache 基准测试
ab -k -n 100 -c 5 -g test2-c5-k.txt http://example.com/工作原理
所以现在我每秒收到 4 个请求。这明显更好,但总体来说还是很糟糕。
最后一步,添加反向代理缓存应用程序。我想看到什么?实际上我不在乎,任何必须优于每秒 4 个请求。如果我能达到每秒 300 个左右的请求,那么我会很高兴。任何接近 1000 个请求的请求我都会欣喜若狂。
这就是我最终得到的结果:
总体而言,令人印象深刻。我每秒可以处理的页面请求量增加了 167407.84% 百分比。
另外,我将每个请求的页面加载时间从 1978 毫秒减少到 1.17 毫秒(同时),总体速度提升了……很多。速度下降99.94%。哎哟。
Drupal Core (unoptimized, uncached, without APC is terrible for performance/page views per second).
Long story short. Use Varnish or some other reverse proxy cache.
Overall, pretty impressive. I managed a percentage increase of 167407.84% in the amount of page requests I could handle per second.
Here is the difference in performance and
Here is some relevant snippets from my post that shows the different numbers.
Test 1 (Get the Starting Benchmark)
Run an apache benchmark
ab -k -n 100 -c 100 -g step1.txt http://example.com/how-it-works
Okay, so this request totally killed my server.
See the graph below.
So then I decided to reduce the Requests in order to just figure out the bog standard requests per second. I went with 100 requests, with a level of 2 concurrency.
And came out with this:
Test 2 APC Enabled
I then repeated the test but with APC enabled.
As you can see, this is visibly better. But still awful. 1 request per second!? lol. That is horrendous.
Test 3 - Enable Drupal Core Caching
I then enabled Drupal Core Caching... and repeated the apache benchmark
ab -k -n 100 -c 5 -g test2-c5-k.txt http://example.com/how-it-works
So now I ended up with 4 requests per second. Which is significantly better but still generally sucks.
The final step, add a reverse proxy cache application into the mix. What do I want to see?.. I actually don’t care, anything must be better than 4 requests per second. If I can get it to around 300 requests per second, then I will be pleased. Anything close to 1000 requests I’ll be ecstatic.
This is what I ended up with:
Overall, pretty impressive. I managed a percentage increase of 167407.84% in the amount of page requests I could handle per second.
And additional I reduced the page loading time per request from 1978ms to 1.17ms (concurrently) which is a overall speed gain of … a lot. A speed decrease of 99.94%. Ouch.