Hadoop Job Commands

roshan
6:12:19 PM
Welcome to our comprehensive guide on Hadoop commands! If you're diving into the world of big data analytics and processing, understanding Hadoop commands is essential. Hadoop, an open-source framework, revolutionized the way we handle massive datasets, enabling efficient storage, processing, and analysis.

In this article, we'll walk you through the fundamental aspects of Hadoop commands, providing you with the knowledge and tools to navigate through this powerful ecosystem. Whether you're a beginner or a seasoned professional, this guide will help you harness the full potential of Hadoop and optimize your big data operations.

From basic commands that allow you to interact with Hadoop's Distributed File System (HDFS) to advanced techniques for managing clusters and executing complex tasks, we've got you covered. We'll delve into command line tutorials, offer practical examples, and provide a comprehensive reference for your convenience.

By mastering Hadoop commands, you'll gain the ability to manipulate and control your data effectively, empowering you to uncover valuable insights and make informed business decisions. Whether you're an analyst, a developer, or an IT professional, the knowledge of Hadoop commands will prove invaluable in today's data-driven world.

Stay tuned as we explore the intricacies of Hadoop commands, guiding you towards proficiency and efficiency in managing your big data projects. Let's dive in and unlock the full potential of Hadoop together!

hadoop Commands




Command
Description
hadoop job -submit <job-file>
Submit the job
hadoop job -status <job-id>
Print job status completion percentage
hadoop job -list all
List all jobs
hadoop job -list-active-trackers
List all available TaskTrackers
hadoop job -set-priority <job-id> <priority>
Set priority for a job. Valid priorities: VERY_HIGH, HIGH, NORMAL, LOW, VERY_LOW
hadoop job -kill-task <task-id>
Kill a task
hadoop job -history
Display job history including job details, failed and killed jobs