How to configure memory leak detection on Linux systems using Valgrind

王林
Release: 2023-07-04 14:53:22
Original
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Configuration method of using Valgrind for memory leak detection on Linux systems

Introduction:
Memory leaks are one of the common problems in the software development process. It often causes programs to slow down or even crash. In order to discover and solve these problems in time, developers need tools to detect memory leaks. Under Linux systems, a widely used tool is Valgrind. This article will introduce how to configure and use Valgrind to detect memory leaks, and demonstrate the specific operation process through code examples.

Step 1: Install Valgrind
Installing Valgrind on a Linux system is very simple. We can install Valgrind directly through package management tools such as apt or yum. On Ubuntu, you can install it with the following command:

sudo apt-get install valgrind
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Step 2: Write a code example
To demonstrate the use of Valgrind, we write a simple C program. The function of the program is to create an integer array, and the memory occupied by the array is not released before the end of the program. The following is a code example:

#include <stdio.h>
#include <stdlib.h>

void create_array(int length) {
    int* array = malloc(length * sizeof(int));
    for (int i = 0; i < length; i++) {
        array[i] = i + 1;
    }
}

int main() {
    create_array(100);
    return 0;
}
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In this example, we use malloc in the create_array function to allocate a memory, but the memory is not released before the end of the program.

Step 3: Use Valgrind for memory leak detection
Run the Valgrind command in the terminal to detect memory leaks. The following is the basic syntax of the Valgrind command:

valgrind [选项] [待检测的程序及参数]
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Run Valgrind through the following command and detect our code example:

valgrind --leak-check=full ./a.out
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In the above command, "--leak-check=full" means proceed For complete memory leak detection, "./a.out" means running the executable file named "a.out" in the current directory.

Step 4: Analyze the output results of Valgrind
Valgrind will output detailed memory leak detection results. The following is the output of Valgrind for our code example:

==18708== Memcheck, a memory error detector
==18708== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al.
==18708== Using Valgrind-3.13.0 and LibVEX; rerun with -h for copyright info
==18708== Command: ./a.out
==18708== 
==18708== 
==18708== HEAP SUMMARY:
==18708==     in use at exit: 400 bytes in 1 blocks
==18708==   total heap usage: 1 allocs, 0 frees, 400 bytes allocated
==18708== 
==18708== 400 bytes in 1 blocks are definitely lost in loss record 1 of 1
==18708==    at 0x4C2AB80: malloc (in /usr/lib/valgrind/vgpreload_memcheck-amd64-linux.so)
==18708==    by 0x40059D: create_array (main.c:6)
==18708==    by 0x4005A8: main (main.c:11)
==18708== 
==18708== LEAK SUMMARY:
==18708==    definitely lost: 400 bytes in 1 blocks
==18708==    indirectly lost: 0 bytes in 0 blocks
==18708==      possibly lost: 0 bytes in 0 blocks
==18708==    still reachable: 0 bytes in 0 blocks
==18708==         suppressed: 0 bytes in 0 blocks
==18708== 
==18708== For counts of detected and suppressed errors, rerun with: -v
==18708== ERROR SUMMARY: 1 errors from 1 contexts (suppressed: 0 from 0)
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The output of Valgrind contains the following important information:

  • HEAP SUMMARY: used to illustrate memory usage. In this example, 400 bytes of memory are still in use when the program exits, and only one memory allocation has been made.
  • LEAK SUMMARY: Used to summarize memory leak situations. In this example, 400 bytes of memory are not freed at the end of the code example.
  • ERROR SUMMARY: used to display a summary of the error message. In this example, Valgrind detected an error.

Conclusion:
Valgrind is a powerful tool that can help us promptly discover and solve memory related problems such as memory leaks. This article describes how to install, configure, and use Valgrind for memory leak detection on a Linux system and illustrates it with a simple code example. Hopefully this content will help developers better manage memory and debug.

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