View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All

Top 10 Hadoop Commands [With Usages]

By Rohit Sharma

Updated on Mar 07, 2025 | 8 min read | 13.3k views

Share:

In this era, with huge chunks of data, it becomes essential to deal with them. The data springing from organizations with growing customers is way larger than any traditional data management tool can store. It leaves us with the question of managing larger sets of data, which could range from gigabytes to petabytes, without using a single large computer or traditional data management tool.

This is where the Apache Hadoop framework grabs the spotlight. Designed for distributed storage and parallel processing, Hadoop provides a reliable and scalable way to manage big data across multiple nodes. It efficiently handles tasks such as data ingestion, storage, retrieval, and analysis. The framework operates using a range of Hadoop commands, allowing users to interact with the Hadoop ecosystem, manage files in HDFS, execute MapReduce jobs, and control cluster operations.

Before diving into Hadoop commands implementation, let’s briefly comprehend the Hadoop framework and its importance.

What is Hadoop?

Hadoop is commonly used by major business organizations to solve various problems, from storing large GBs (Gigabytes) of data every day to computing operations on the data.

Traditionally defined as an open-source software framework used to store data and processing applications, Hadoop stands out quite heavily from the majority of traditional data management tools. It improves the computing power and extends the data storage limit by adding a few nodes in the framework, making it highly scalable. Besides, your data and application processes are protected against various hardware failures.

Hadoop follows a master-slave architecture to distribute and store data using MapReduce and HDFS. As depicted in the figure below, the architecture is tailored in a defined manner to perform data management operations using four primary nodes, namely Name, Data, Master, and Slave. The core components of Hadoop are built directly on top of the framework. Other components integrate directly with the segments.

To efficiently manage, process, and interact with Hadoop’s ecosystem, various Hadoop commands are used. These commands allow users to handle file operations in HDFS, execute MapReduce jobs, and manage the cluster seamlessly. Whether it's storing data, retrieving files, or monitoring system performance, Hadoop commands play a crucial role in simplifying these tasks.

background

Liverpool John Moores University

MS in Data Science

Dual Credentials

Master's Degree18 Months
View Program

Placement Assistance

Certification8-8.5 Months
View Program

Hadoop Commands

Major features of the Hadoop framework show a coherent nature, and it becomes more user-friendly when it comes to managing big data with learning Hadoop Commands. Below are some convenient Hadoop Commands that allow performing various operations, such as management and HDFS clusters file processing. This list of commands is frequently required to achieve certain process outcomes.

1. Hadoop Touchz

hadoop fs -touchz /directory/filename

This command allows the user to create a new file in the HDFS cluster. The “directory” in the command refers to the directory name where the user wishes to create the new file, and the “filename” signifies the name of the new file which will be created upon the completion of the command.

2. Hadoop Test Command 

hadoop fs -test -[defsz] <path>

This particular command fulfills the purpose of testing the existence of a file in the HDFS cluster. The characters from “[defsz]” in the command have to be modified as needed. Here is a brief description of these characters:

  • d -> Checks if it is a directory or not
  • e -> Checks if it is a path or not
  • f -> Checks if it is a file or not
  • s -> Checks if it is an empty path or not
  • r -> Checks the path existence and read permission
  • w -> Checks the path existence and write permission
  • z -> Checks the file size

3. Hadoop Text Command

hadoop fs -text <src>

The text command is particularly useful to display the allocated zip file in text format. It operates by processing source files and providing its content into a plain decoded text format.

4. Hadoop Find Command

hadoop fs -find <path> … <expression>

This command is generally used for the purpose to search for files in the HDFS cluster. It scans the given expression in the command with all the files in the cluster, and displays the files that match the defined expression.

Read: Top Hadoop Tools

5. Hadoop Getmerge Command

hadoop fs -getmerge <src> <localdest>

Getmerge command allows merging one or multiple files in a designated directory on the HDFS filesystem cluster. It accumulates the files into one single file located in the local filesystem. The “src” and “localdest” represents the meaning of source-destination and local destination.

6. Hadoop Count Command

hadoop fs -count [options] <path>

As obvious as its name, the Hadoop count command counts the number of files and bytes in a given directory. There are various options available that modify the output as per the requirement. These are as follows:

  • q -> quota shows the limit on the total number of names and usage of space
  • u -> displays only quota and usage
  • h -> gives the size of a file
  • v -> displays header

7. Hadoop AppendToFile Command

hadoop fs -appendToFile <localsrc> <dest>

It allows the user to append the content of one or many files into a single file on the specified destination file in the HDFS filesystem cluster. On execution of this command, the given source files are appended into the destination source as per the given filename in the command.

8. Hadoop ls Command

hadoop fs -ls /path

The ls command in Hadoop shows the list of files/contents in a specified directory, i.e., path. On adding “R” before /path, the output will show details of the content, such as names, size, owner, and so on for each file specified in the given directory.

9. Hadoop mkdir Command

hadoop fs -mkdir /path/directory_name

This command’s unique feature is the creation of a directory in the HDFS filesystem cluster if the directory does not exist. Besides, if the specified directory is present, then the output message will show an error signifying the directory’s existence.

10. Hadoop chmod Command

hadoop fs -chmod [-R] <mode> <path>

This command is used when there is a need to change the permissions to accessing a particular file. On giving the chmod command, the permission of the specified file is changed. However, it is important to remember that the permission will be modified when the file owner executes this command.

Also Read: Impala Hadoop Tutorial

Conclusion

Beginning with the important issue of data storage faced by the major organizations in today’s world, this article discussed the solution for limited data storage by introducing Hadoop and its impact on carrying out data management operations by using Hadoop commands. For beginners in Hadoop, an overview of the framework is described along with its components and architecture.

After reading this article, one can easily feel confident about their knowledge in the aspect of the Hadoop framework and its applied commands. upGrad’s Exclusive PG Certification in Big Data: upGrad offers an industry-specific 7.5 months program for PG Certification in Big Data where you will organize, analyze, and interpret Big Data with IIIT-Bangalore.

Designed carefully for working professionals, it will help the students gain practical knowledge and foster their entry into Big Data roles.

Frequently Asked Questions (FAQs)

1. Where is Hadoop used?

2. What is the future and scope of Hadoop?

3. What are the job profiles that fall for the person having relevant skills in Hadoop?

4. What are the 4 main components of Hadoop?

5. What is the cat command in HDFS?

6. What are the 4 modules of Hadoop?

7. What is the cd command in HDFS?

8. What is the command in HDFS?

9. What is the cd command in full?

10. How do you copy files in HDFS?

11. How do you remove a directory in HDFS?

Rohit Sharma

694 articles published

Get Free Consultation

+91

By submitting, I accept the T&C and
Privacy Policy

Start Your Career in Data Science Today

Top Resources

Recommended Programs

IIIT Bangalore logo
bestseller

The International Institute of Information Technology, Bangalore

Executive Diploma in Data Science & AI

Placement Assistance

Executive PG Program

12 Months

View Program
Liverpool John Moores University Logo
bestseller

Liverpool John Moores University

MS in Data Science

Dual Credentials

Master's Degree

18 Months

View Program
upGrad Logo

Certification

3 Months

View Program