Detailed analysis of sample codes for performance comparison of golang, python, php, c++, c, java, and Nodejs-PHP Tutorial-php.cn

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When I was working in PHP/C++/Go/Py, I suddenly had the idea to make a simple comparison of the performance of the recent mainstream programming languages . As for how to compare, I still have to use the magical Fibonacci algorithm. Maybe it’s more commonly used or fun.

Okay, talk is cheap, show me your code! Open your Mac, click on Clion and start coding!

1. Why is Go the first one? Because I am using it personally recently and I feel very good.

package main
import "fmt"
func main(){
  fmt.Println(fibonacci(34))
}
func fibonacci(i int) int{
  if(i<2){
    return i;
  }
  return fibonacci(i-2) + fibonacci(i-1);
}

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Let’s take a look with Go1.7 first:

The code is as follows:

qiangjian@localhost:/works/learnCPP$ go version && time go build  fib.go  && time ./fibgo version go1.7.5 darwin/amd64
real    0m0.206suser    0m0.165ssys     0m0.059s
real    0m0.052suser    0m0.045ssys     0m0.004s

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Then, take a look at 1.8:

The code is as follows:

qiangjian@localhost:/works/learnCPP$ go18 version && time go18 build  fib.go  && time ./fibgo version go1.8 darwin/amd64
real    0m0.204suser    0m0.153ssys     0m0.062s
real    0m0.051suser    0m0.045ssys     0m0.003s

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It feels like There is no difference, but the official 1.8 has been optimized and improved by 20% in aspects such as GC and Compile. Maybe this demo is too simple.

2. Python has been very popular recently, so let’s compare it

def fibonacci(i):
  if i<2:
    return i
  return fibonacci(i-2) + fibonacci(i-1)
 
print(fibonacci(34))

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Let’s take a look at python2.7 first

qiangjian@localhost:/works/learnCPP$ python2 -V && time python2 ./fib.py 
Python 2.7.13
5702887

real 0m2.651s
user 0m2.594s
sys 0m0.027s

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Then comes Py 3.5

qiangjian@localhost:/works/learnCPP$ python3 -V && time python3 ./fib.py 
Python 3.5.1

real  0m3.110s
user  0m2.982s
sys   0m0.026s

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The biggest problem of Py can be seen at a glance: the more you upgrade, the slower it becomes, and the terrible thing is a lot of syntax It is not compatible, but it is good for writing algorithms and small programs. For other times, forget it and use Go.

3. PHP, I use it a lot for my work, so I have to compare it.

<?php
function fibonacci($i){
  if($i<2) return $i;
  return fibonacci($i-2) + fibonacci($i-1);
}
echo fibonacci(34);

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Since I mainly use php5.4 for my work, so The first wave:

qiangjian@localhost:/works/learnCPP$ php54 -v && time php54 fib.php 
PHP 5.4.43 (cli) (built: Dec 21 2016 12:01:59) 
Copyright (c) 1997-2014 The PHP Group
Zend Engine v2.4.0, Copyright (c) 1998-2014 Zend Technologies
real  0m2.288s
user  0m2.248s
sys   0m0.021s

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The test environment is 5.6, so the next wave is:

qiangjian@localhost:/works/learnCPP$ php -v && time php fib.php 
PHP 5.6.28 (cli) (built: Dec 6 2016 12:38:54) 
Copyright (c) 1997-2016 The PHP Group
Zend Engine v2.6.0, Copyright (c) 1998-2016 Zend Technologies
real  0m2.307s
user  0m2.278s
sys   0m0.017s

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New projects, myself Everything you play is php7, please see:

qiangjian@localhost:/works/learnCPP$ php -v && time php fib.php
PHP 7.1.2 (cli) (built: Feb 17 2017 10:52:17) ( NTS )
Copyright (c) 1997-2017 The PHP Group
Zend Engine v3.1.0, Copyright (c) 1998-2017 Zend Technologies
5702887
real  0m0.815s
user  0m0.780s
sys   0m0.015s

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I feel that php7 and 5 are completely different, not the same thing at all, and the progress has been too great, so I rely on this Thumbs up Brother Bird! I suggest you use php7 more.

4.C++ is my favorite theoretical basis. Of course, I am talking about C++11/14, not the old antique c99 etc.

#include <iostream>
 
constexpr int fibonacci(const int i){
  if(i<2) return i;
  return fibonacci(i-2) + fibonacci(i-1);
}
 
int main() {
  fibonacci(34);
  return 0;
}

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First use g++ 6.2 without optimization to see:

qiangjian@localhost:/works/learnCPP$ time g++-6 -o a.bin main.cpp && time ./a.bin 

real  0m0.378s
user  0m0.254s
sys   0m0.104s

real  0m0.050s
user  0m0.043s
sys   0m0.002s

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After adding optimization -O2,

qiangjian@localhost:/works/learnCPP$ time g++-6 -O2 -o a.bin main.cpp && time ./a.bin 

real  0m0.874s
user  0m0.344s
sys   0m0.180s

real  0m0.034s
user  0m0.019s
sys   0m0.004s

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The effect is still very obvious, and the running time is only half of the former.

5. C also wrote

#include <stdio.h>
 
int fibonacci(int i){
  if(i<2) return i;
  return fibonacci(i-2) + fibonacci(i-1);
}
int main(){
  printf("%d",fibonacci(34));
}

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without optimization:

qiangjian@localhost:/works/learnCPP$ time gcc-6 -o c.bin fib.c && time ./c.bin 

real  0m0.341s
user  0m0.063s
sys   0m0.101s
real  0m0.049s
user  0m0.044s
sys   0m0.002s

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added -O2 optimization:

qiangjian@localhost:/works/learnCPP$ time gcc-6 -O2 -o c.bin fib.c && time ./c.bin 

real  0m0.143s
user  0m0.065s
sys   0m0.034s
real  0m0.034s
user  0m0.028s
sys   0m0.002s

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is the same as C++14. After optimization, the speed is significantly improved, twice as fast.

6.Java is what I least want to write. Although it is very popular, it feels too bloated

class Fib{
  public  static void main(String[] args){
    System.out.println(fibonacci(34));
 
  }
 
  static int fibonacci( int i){
    if(i<2) return i;
    return fibonacci(i-2) + fibonacci(i-1);
  }
}

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The result of compiling and running is:

qiangjian@localhost:/works/learnCPP$ java -version && time javac Fib.java && time java Fib 
java version "1.8.0_25"
Java(TM) SE Runtime Environment (build 1.8.0_25-b17)
Java HotSpot(TM) 64-Bit Server VM (build 25.25-b02, mixed mode)

real  0m0.952s
user  0m1.302s
sys   0m0.144s

real  0m0.150s
user  0m0.123s
sys   0m0.025s

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The performance is okay, but the Compile time is too low compared to c++/go.

7. Of course, the last one to appear is javascript, which has always been popular. No, to be precise, it is Nodejs (this thing has nothing to do with java)

function fibonacci(i){
  if(i<2) return i;
  return fibonacci(i-2) + fibonacci(i-1);
}
console.log(fibonacci(34))

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Result:

qiangjian@localhost:/works/learnCPP$ node -v && time node fib.js 
v6.10.0

real  0m0.332s
user  0m0.161s
sys   0m0.062s

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The result is still shocking. It only takes TMD 0.3s, and the total is less than 0.5s, almost It's close to Java, but the advantages of code volume and maintainability are really thanks to Google, Chromium's V8 son, and the open source community.

If Nodejs really runs stably, it may not really be able to unify the "program world". Of course, I'm just talking, don't take it too seriously.

Let’s take a picture:

Detailed analysis of sample codes for performance comparison of golang, python, php, c++, c, java, and Nodejs

##Summary:

I feel that each language has different uses, and performance is just a single indicator. I What I value more is: readability, maintainability, portability, robustness, scalability, and then performance. Moreover, modern hardware is becoming more and more powerful. Mobile phones often have 8G, CPUs have caught up with the CPUs of PCs 5 years ago, and SSDs are becoming more popular... I am more optimistic about Golang/php/python, and also pay attention to modern C++, such as 14 and 17. As for rust,

swift, java, scala, forget it, this mainly depends on personal needs, Related to the company’s technology stack. Ha ha! Let’s write this much first!

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