Home Java javaTutorial JSch Command Hang-Up: How to Avoid Deadlock When Reading Large Output?

JSch Command Hang-Up: How to Avoid Deadlock When Reading Large Output?

Oct 28, 2024 pm 12:42 PM

  JSch Command Hang-Up:  How to Avoid Deadlock When Reading Large Output?

JSch Command Output Hang-up: A Case Study

When executing commands through JSch, you may encounter situations where the code appears to hang while attempting to read from the input stream of the ChannelExec. To resolve this, it's crucial to ensure continuous reading from the output while monitoring the command's status.

Consider the following code snippet:

<code class="java">while ((numRead = reader.read(buf)) != -1) {
    // ...
}</code>
Copy after login

If the command produces a significant amount of output, it can fill the output buffer, causing the command to stall while waiting for the buffer to be consumed. This can lead to a deadlock scenario.

To address this issue, you should read both standard output and standard error continuously, monitoring the command status. This ensures that the output buffer remains empty, allowing the command to complete without interruptions.

<code class="java">while (true) {
    // Read from standard output
    while (in.available() > 0) { // Replace reader with in and err for error handling
        // ...
    }
    // Read from standard error
    while (err.available() > 0) { // Replace reader with in and err for error handling
        // ...
    }
    if (channel.isClosed()) {
        // ...
    }
    try { 
      Thread.sleep(1000);
    } catch (Exception ee) {
    }
}</code>
Copy after login

By continuously reading from the output and error streams and periodically checking the channel status, you can prevent hang-ups and ensure that commands complete successfully.

The above is the detailed content of JSch Command Hang-Up: How to Avoid Deadlock When Reading Large Output?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Top 4 JavaScript Frameworks in 2025: React, Angular, Vue, Svelte Top 4 JavaScript Frameworks in 2025: React, Angular, Vue, Svelte Mar 07, 2025 pm 06:09 PM

This article analyzes the top four JavaScript frameworks (React, Angular, Vue, Svelte) in 2025, comparing their performance, scalability, and future prospects. While all remain dominant due to strong communities and ecosystems, their relative popul

Spring Boot SnakeYAML 2.0 CVE-2022-1471 Issue Fixed Spring Boot SnakeYAML 2.0 CVE-2022-1471 Issue Fixed Mar 07, 2025 pm 05:52 PM

This article addresses the CVE-2022-1471 vulnerability in SnakeYAML, a critical flaw allowing remote code execution. It details how upgrading Spring Boot applications to SnakeYAML 1.33 or later mitigates this risk, emphasizing that dependency updat

Node.js 20: Key Performance Boosts and New Features Node.js 20: Key Performance Boosts and New Features Mar 07, 2025 pm 06:12 PM

Node.js 20 significantly enhances performance via V8 engine improvements, notably faster garbage collection and I/O. New features include better WebAssembly support and refined debugging tools, boosting developer productivity and application speed.

How do I implement multi-level caching in Java applications using libraries like Caffeine or Guava Cache? How do I implement multi-level caching in Java applications using libraries like Caffeine or Guava Cache? Mar 17, 2025 pm 05:44 PM

The article discusses implementing multi-level caching in Java using Caffeine and Guava Cache to enhance application performance. It covers setup, integration, and performance benefits, along with configuration and eviction policy management best pra

How does Java's classloading mechanism work, including different classloaders and their delegation models? How does Java's classloading mechanism work, including different classloaders and their delegation models? Mar 17, 2025 pm 05:35 PM

Java's classloading involves loading, linking, and initializing classes using a hierarchical system with Bootstrap, Extension, and Application classloaders. The parent delegation model ensures core classes are loaded first, affecting custom class loa

How to Share Data Between Steps in Cucumber How to Share Data Between Steps in Cucumber Mar 07, 2025 pm 05:55 PM

This article explores methods for sharing data between Cucumber steps, comparing scenario context, global variables, argument passing, and data structures. It emphasizes best practices for maintainability, including concise context use, descriptive

How can I implement functional programming techniques in Java? How can I implement functional programming techniques in Java? Mar 11, 2025 pm 05:51 PM

This article explores integrating functional programming into Java using lambda expressions, Streams API, method references, and Optional. It highlights benefits like improved code readability and maintainability through conciseness and immutability

Iceberg: The Future of Data Lake Tables Iceberg: The Future of Data Lake Tables Mar 07, 2025 pm 06:31 PM

Iceberg, an open table format for large analytical datasets, improves data lake performance and scalability. It addresses limitations of Parquet/ORC through internal metadata management, enabling efficient schema evolution, time travel, concurrent w

See all articles