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How to Calculate CPU Usage of a Process by PID in Linux Using C
This article explains how to programmatically calculate the CPU usage percentage for a given process ID in Linux using the C programming language. It covers reading data from the /proc file system, sampling CPU times, and applying the calculation formula, with code examples and best practices for system monitoring.
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Deep Dive into Invoking Linux Shell Commands from Java: From Runtime.exec to ProcessBuilder
This article provides a comprehensive analysis of two core methods for executing Linux Shell commands in Java programs. By examining the limitations of the Runtime.exec method, particularly its incompatibility with redirections and pipes, the focus is on the correct implementation using Shell interpreters like bash or csh with the -c parameter. Additionally, as a supplement, the use of the ProcessBuilder class is introduced, offering more flexible command construction and output handling. Through code examples and in-depth technical analysis, the article helps developers understand how to safely and efficiently integrate Shell command execution in Java, avoid common pitfalls, and optimize cross-platform compatibility.
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Reliable Methods to Confirm RedHat Enterprise Linux Version
This article explores accurate methods for confirming the operating system version in RedHat Enterprise Linux (RHEL) systems. By analyzing the workings of common commands such as
/etc/redhat-releaseandlsb_release -a, it explains how version information may change due to system updates. The discussion includes the advantages ofrpm -qia '*release*'as a supplementary tool, helping users avoid misunderstandings from relying on single files and ensuring application compatibility. -
Three Methods to Execute External Programs in C on Linux: From system() to fork-execve
This article comprehensively explores three core methods for executing external programs in C on Linux systems. It begins with the simplest system() function, covering its usage scenarios and status checking techniques. It then analyzes security vulnerabilities of system() and presents the safer fork() and execve() combination, detailing parameter passing and process control. Finally, it discusses combining fork() with system() for asynchronous execution. Through code examples and comparative analysis, the article helps developers choose appropriate methods based on security requirements, control needs, and platform compatibility.
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Understanding modprobe vs insmod: Resolving 'Module not found' Errors in Linux Kernel Modules
This article explores the difference between modprobe and insmod commands in Linux, focusing on the common 'Module not found' error. It explains why modprobe fails when loading modules from local paths and provides solutions to properly install modules for modprobe usage. Through comparison and practice, it enhances developers' understanding of kernel module loading mechanisms.
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A Comprehensive Guide to Displaying Running Python Processes on Linux
This article provides a detailed guide on how to display running Python processes on Linux systems, focusing on the use of the ps command and its integration with Python programming. It explains the core concepts, offers code examples, and discusses alternative methods for process management.
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Developing C# Applications on Linux: Tools, Environment, and Cross-Platform Compatibility Analysis
This paper provides an in-depth exploration of technical solutions for developing C# applications on Linux systems, particularly Ubuntu. It focuses on analyzing the Mono project and its associated toolchain configuration and usage. The article details the installation and functionality of the MonoDevelop integrated development environment, compares characteristics of different .NET implementations (Mono and .NET Core), and systematically evaluates the runtime compatibility of C# applications developed on Linux when running on Windows systems. Through practical code examples and technical analysis, it offers comprehensive guidance for cross-platform C# development.
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Effective Methods for Safely Removing Directories and Their Contents in Unix/Linux
This article discusses best practices for deleting all files and subdirectories within a directory in Unix-like systems, focusing on safety and efficiency. It highlights the recommended approach of moving up a level and using the rm command with proper arguments, supplemented by alternative methods such as find and bash expansions. The article provides detailed analysis and standardized code examples, and reminds users of safety considerations.
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Complete Guide to Displaying GUI Message Boxes from Bash Scripts in Linux
This article provides an in-depth exploration of various methods to display GUI message boxes from Bash scripts in Linux systems. It focuses on Zenity as the primary GTK dialog tool available in default Ubuntu installations, detailing its basic usage, advanced features, and practical application scenarios. The article also compares characteristics and suitable environments of other tools like notify-send, xmessage, and kdialog, with comprehensive code examples demonstrating integration into real scripts. Additionally, it discusses differences in cross-desktop environment compatibility, feature richness, and installation requirements, offering developers comprehensive references for selecting appropriate solutions.
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Comprehensive Guide to Extracting IP Addresses Using Regex in Linux Shell
This article provides an in-depth exploration of various methods for extracting IP addresses using regular expressions in Linux Shell environments. By analyzing different grep command options and regex patterns, it details technical implementations ranging from simple matching to precise IP address validation. Through concrete code examples, the article step-by-step explains how to handle situations where IP addresses appear at different positions in file lines, and compares the advantages and disadvantages of different approaches. Additionally, it discusses strategies for handling edge cases and improving matching accuracy, offering practical command-line tool usage guidance for system administrators and developers.
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Comparative Analysis of nohup and Ampersand in Linux Process Management
This article provides an in-depth examination of the fundamental differences between the nohup command and the ampersand symbol in Linux process management. By analyzing the SIGHUP signal handling mechanism, it explains why nohup prevents process termination upon terminal closure, while the ampersand alone does not offer this protection. The paper includes practical code examples and signal processing principles to offer robust solutions for background process execution.
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Native Implementation of Linux Watch Command Functionality on macOS
This paper comprehensively explores various technical solutions for emulating the Linux watch command on macOS systems. Through in-depth analysis of core methods including shell loops, script encapsulation, and output optimization, it details how to achieve command periodic execution and result monitoring without installing additional software. The article provides concrete code examples, compares the advantages and disadvantages of different implementation approaches, and offers practical performance optimization recommendations, delivering a complete automation monitoring solution for macOS users.
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Comprehensive Guide to Setting Linux Environment Variables with Ansible
This article provides an in-depth exploration of various methods for setting Linux environment variables using Ansible, covering both task-level temporary variables and system-level permanent configurations. Through analysis of best practices and common pitfalls, it presents solutions based on the lineinfile module for permanent variable setup and the environment keyword application at task, block, and playbook levels. With detailed code examples, the article explains variable scoping, persistence mechanisms, and practical deployment scenarios to help readers master flexible and reliable environment management strategies.
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Forcing Docker to Use linux/amd64 Platform by Default on macOS: A Comprehensive Solution
This article addresses platform compatibility issues when using Docker on macOS with Apple Silicon chips, detailing the solution of setting the DOCKER_DEFAULT_PLATFORM environment variable to enforce linux/amd64 platform usage. It analyzes the principles of multi-architecture image auto-selection, provides various configuration methods including command line, configuration files, and Docker Compose, and illustrates practical applications through real-world cases involving TensorFlow and other compatibility challenges.
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Automated Email Sending with Linux Shell Scripts
This technical article provides a comprehensive guide to implementing automated email sending using Shell scripts in Linux environments. Focusing on the core mail command, the article details script construction for process monitoring scenarios, including parameter configuration, command syntax, and execution workflows. Advanced topics cover error handling, security considerations, and performance optimization, offering practical solutions for system administrators and developers.
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Running Windows Containers on Linux: Limitations and Cross-Platform Solutions
This technical paper examines the fundamental limitations preventing Windows containers from running directly on Linux hosts and explores Docker Desktop's virtualization-based approach to cross-platform container execution. For .NET Framework 4.6.2 applications requiring containerization, we present comprehensive migration strategies including .NET Core adoption, .NET Standard implementation, and Windows container deployment options. The paper includes detailed code examples and discusses networking challenges in mixed-OS container environments.
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Methods for Finding JAVA_HOME Directory in Linux Systems and Configuration Practices
This article provides an in-depth exploration of various methods to locate the JAVA_HOME directory in Linux systems, including direct environment variable queries, command-line tools for Java installation path identification, and Java runtime system property retrieval. Combining Q&A data with practical case studies, the paper offers detailed analysis of application scenarios, advantages and disadvantages, and implementation principles for each method, along with comprehensive configuration practice guidelines.
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Complete Guide to Running Python Scripts as Services or Daemons in Linux
This article provides a comprehensive analysis of various methods to convert Python scripts into continuously running services or daemons in Linux systems. It focuses on comparing two main approaches: using cron scheduled tasks and Python self-daemonization, detailing their implementation principles, advantages, disadvantages, and applicable scenarios. Through technical comparisons, it offers practical guidance for developers to choose the most suitable background execution solution.
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Understanding and Handling errno Error Codes in Linux Systems
This article provides an in-depth exploration of the errno error code handling mechanism in Linux systems, focusing on the usage of strerror() and perror() functions. Through practical code examples, it demonstrates how to retrieve and display error information, and discusses the application scenarios of the thread-safe variant strerror_r(). By analyzing specific cases of system call failures, the article offers comprehensive error handling solutions for C language developers.
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Profiling C++ Code on Linux: Principles and Practices of Stack Sampling Technology
This article provides an in-depth exploration of core methods for profiling C++ code performance in Linux environments, focusing on stack sampling-based performance analysis techniques. Through detailed explanations of manual interrupt sampling and statistical probability analysis principles, combined with Bayesian statistical methods, it demonstrates how to accurately identify performance bottlenecks. The article also compares traditional profiling tools like gprof, Valgrind, and perf, offering complete code examples and practical guidance to help developers systematically master key performance optimization technologies.