Hadoop Handler

An interactive, cross-platform command-line tool suite designed to automate the installation, configuration, verification, and management of Apache Hadoop 3.4.2 Single-Node clusters on Linux, macOS, and Windows.

Developed by Aditya Pidurkar (@itsadityap).

Installation & Usage

Method 1: Install via Pip / PyPI (Recommended)

Install the global CLI directly using Python and pip:

pip install hadoop-handler

Launch the interactive control panel from anywhere:

hadoop-handler

You can also run subcommands and flags directly:

# Check version and help
hadoop-handler --version
hadoop-handler --help

# Direct subcommands
hadoop-handler verify                 # Verify Hadoop, Java, and running daemons
hadoop-handler start                  # Start HDFS and YARN daemons
hadoop-handler stop                   # Stop services
hadoop-handler restart                # Restart cluster daemons
hadoop-handler diagnose               # Check and repair dependencies
hadoop-handler install                # Run automated installation with smooth progress
hadoop-handler delete                 # Wipe and uninstall cluster
hadoop-handler service enable         # Register cluster as systemd user service
hadoop-handler service status         # Check systemd service status
hadoop-handler update                 # In-place self update via git or pip
hadoop-handler --install-completion   # Install shell autocompletion (bash, zsh, fish, powershell)

Method 2: Unix One-Liner (Linux & macOS)

Run this command from any terminal:

curl -fsSL https://adityapidurkar.in/install.sh | sh

(This clones the repository to ~/.hadoop-handler, sets up execution permissions, and registers the command globally).

Method 3: Windows PowerShell One-Liner

Open a PowerShell terminal as Administrator and run:

irm https://adityapidurkar.in/install.ps1 | iex

Method 4: Manual Clone (Linux & macOS)

git clone https://github.com/itsadityapidurkar/hadoop-handler.git
cd hadoop-handler
chmod +x setup.sh
./setup.sh

Features & Menu Overview

• Arrow-Key Navigation (TUI Menu): Navigate menu items effortlessly with Up / Down arrow keys, Vim keys (j / k), direct numbers (0-9), or Enter to select.
• Live Visual Status Badges: Instant status display at the top of the menu:
  • Hadoop: [Installed (3.4.2)] or [Not Installed]
  • Java: [OpenJDK 21] or [Missing]
  • Services: [5/5 Daemons Running] or [Stopped]
• Smooth Download Progress Bar: Live, single-line progress indicator with byte counter, download rate (MB/s), and ETA calculation.
• Desktop Notifications: Native desktop alerts via notify-send (Linux), Notification Center (macOS), or Toast (Windows) when downloads and cluster tasks complete.
• System Service Integration (systemd / launchd): Manage Hadoop daemons via systemctl --user on Linux or launchd on macOS so services can run automatically on boot.
• Shell Autocompletion: Native autocompletion support for bash, zsh, fish, and powershell.
• One-Command Self-Update: Run hadoop-handler update to automatically pull updates from PyPI or git repositories.
• Version Update Banner: Non-intrusive cached checks alerting you when a newer version is available.
• Diagnose / Auto-Repair: Scans for missing utilities (curl, tar, rsync, OpenJDK 21, sshd) and safely installs them using your native package manager (apt, dnf, yum, pacman, brew).
• Idempotent Installation: Secure downloads, SSH keypair generation, firewall port configuration, and safe NameNode formatting without wiping existing HDFS data blocks.

Windows Daemon Management

On Windows, open a Command Prompt (CMD) as Administrator and run:

• Start HDFS: start-dfs.cmd
• Start YARN: start-yarn.cmd
• Stop services: stop-all.cmd or close the daemon windows.

Repository Structure

• hadoop_handler/: The core Python package with cross-platform CLI runner and templates.
  • cli.py: Platform-aware launcher for Linux, macOS, and Windows.
  • scripts/: Embedded shell scripts (hadoop-handler, install.ps1).
  • configs/: Pre-configured XML templates (core-site.xml, hdfs-site.xml, mapred-site.xml, yarn-site.xml, workers).
• pyproject.toml: Modern PEP 517/621 build configuration for PyPI.
• setup.sh: Global setup script for Unix systems.
• install.sh: One-liner bootstrap script for Unix systems.
• install.ps1: Native PowerShell installer for Windows.
• configs/: Fallback cluster templates.

Roadmap / Upcoming Features (TODO)

• Arrow-Key Navigation (TUI Menu): Interactive navigation with live cluster status badges.
• Smooth Download Progress Bar: Single-line progress bar with transfer rate and ETA.
• Desktop Notifications: Native desktop alerts for task completion.
• System Service Integration: Manage cluster via systemd user units on Linux or launchd on macOS.
• Shell Autocompletion: Subcommand autocompletion for Bash, Zsh, Fish, and PowerShell.
• One-Command Self-Update: In-place CLI updates (hadoop-handler update) and update check banner.
• Multiple Hadoop Version Support: Side-by-side installations of multiple Hadoop versions (e.g. 3.3.6, 3.4.1, 3.4.2) with instant switching (hadoop-handler use <version>).
• Cross-Compatibility Checker: Automated verification of Hadoop and Java runtime matrix to prevent JVM reflection crashes.
• In-Place Upgrades & Downgrades: Upgrade or downgrade Hadoop versions seamlessly while preserving XML configurations and existing HDFS data blocks.

License

Licensed under the Apache License 2.0.