Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconBig Databreadcumb forward arrow iconTop 10 Hadoop Commands [With Usages]

Top 10 Hadoop Commands [With Usages]

Last updated:
12th Apr, 2024
Views
Read Time
8 Mins
share image icon
In this article
Chevron in toc
View All
Top 10 Hadoop Commands [With Usages]

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. Before diving into Hadoop command 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.

Ads of upGrad blog

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.

Explore Our Software Development Free Courses

Source

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.

Explore our Popular Software Engineering Courses

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

In-Demand Software Development Skills

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.

Read our Popular Articles related to Software Development

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.

Hadoop Developer Salary Insights

Salary Based on Location

CityAverage Annual Salary
Bangalore₹8 Lakhs
New Delhi₹7 Lakhs
Mumbai₹8.2 Lakhs
Hyderabad₹7.8 Lakhs
Pune₹7.9 Lakhs
Chennai₹8.1 Lakhs
Kolkata₹7.5 Lakhs

Salary Based on Experience

Experience(Years)Average Annual Salary
0-2₹4.5 Lakhs
3₹6 Lakhs
4₹7.4 Lakhs
5₹8.5 Lakhs
6₹9.9 Lakhs

Salary Based on Company Type

Company TypeAverage Annual Salary
Forbes Global 2000₹10.7 Lakhs
Public₹10.6 Lakhs
Fortune India 500₹9.3 Lakhs
MNCs₹ 5.8 Lakhs – ₹ 7.4 Lakhs
Startups₹ 6.3 Lakhs – ₹ 8.1 Lakhs

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.

Ads of upGrad blog

Program Highlights:

  • Learning relevant languages and tools
  • Learning advanced concepts of Distributed Programming, Big Data Platforms, Database, Algorithms, and Web Mining
  • An accredited certificate from IIIT Bangalore
  • Placement assistance to get absorbed in top MNCs
  • 1:1 mentorship to track your progress & assisting you at every point
  • Working on Live projects and assignments

Eligibility: Math/Software Engineering/Statistics/Analytics background

Check our other Software Engineering Courses at upGrad.

Profile

Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.
Get Free Consultation

Selectcaret down icon
Select Area of interestcaret down icon
Select Work Experiencecaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Big Data Course

Frequently Asked Questions (FAQs)

1Where is Hadoop used?

Hadoop is a Java-based framework, and it is an open-source framework. It is used for storing and processing Big Data. Hadoop is used in the security and law enforcement industry to prevent terrorist attacks, and in the detection and prevention of cyberattacks. The technology’s most important uses are in customer’s requirement understanding. Credit card companies determine their exact consumer base with the technology. Hadoop is used to develop the country, state, and cities by analysing data. It is also used in the trading field to work without human interaction. Another most common reason why the uses of Hadoop are important is that it is also used in the business processes. It has optimised the performance of the companies in many ways.

2What is the future and scope of Hadoop?

With the rise of the Big Data world, there arose a need for flawless systems that can process, store, and retrieve such rising Big Data. The traditional databases are not capable enough of fastly processing vast data. Hadoop has come out like a light in the world of Big Data analytics. It has a bright future. As per the Forbes report, the Big Data market will reach heights in the coming years. There will be a need for more Hadoop developers to deal with Big data challenges. Several IT firms are adopting Hadoop technology for their research, increasing the demand for Hadoop professionals.

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

There are various job profiles for a person with skills in Hadoop. Some of them are that of a Hadoop Administrator, who sets up a Hadoop cluster and monitors it with monitoring tools, a Hadoop Architect, who plans and designs the Big Data Hadoop architecture, a Big Data Analyst, who analyses Big Data for evaluating the company’s technical performance and a Hadoop developer, whose main task is to develop Hadoop technologies using Java and other scripting languages.

Explore Free Courses

Suggested Blogs

Characteristics of Big Data: Types &#038; 5V&#8217;s
6509
Introduction The world around is changing rapidly, we live a data-driven age now. Data is everywhere, from your social media comments, posts, and lik
Read More

by Rohit Sharma

04 Mar 2024

50 Must Know Big Data Interview Questions and Answers 2024: For Freshers &#038; Experienced
7647
Introduction The demand for potential candidates is increasing rapidly in the big data technologies field. There are plenty of opportunities in this
Read More

by Mohit Soni

What is Big Data &#8211; Characteristics, Types, Benefits &#038; Examples
186288
Lately the term ‘Big Data’ has been under the limelight, but not many people know what is big data. Businesses, governmental institutions, HCPs (Healt
Read More

by Abhinav Rai

18 Feb 2024

Cassandra vs MongoDB: Difference Between Cassandra &#038; MongoDB [2023]
5488
Introduction Cassandra and MongoDB are among the most famous NoSQL databases used by large to small enterprises and can be relied upon for scalabilit
Read More

by Rohit Sharma

31 Jan 2024

13 Ultimate Big Data Project Ideas &#038; Topics for Beginners [2024]
100938
Big Data Project Ideas Big Data is an exciting subject. It helps you find patterns and results you wouldn’t have noticed otherwise. This skill
Read More

by upGrad

16 Jan 2024

Be A Big Data Analyst – Skills, Salary &#038; Job Description
899814
In an era dominated by Big Data, one cannot imagine that the skill set and expertise of traditional Data Analysts are enough to handle the complexitie
Read More

by upGrad

16 Dec 2023

12 Exciting Hadoop Project Ideas &#038; Topics For Beginners [2024]
21087
Hadoop Project Ideas & Topics Today, big data technologies power diverse sectors, from banking and finance, IT and telecommunication, to manufact
Read More

by Rohit Sharma

29 Nov 2023

Top 10 Exciting Data Engineering Projects &#038; Ideas For Beginners [2024]
40375
Data engineering is an exciting and rapidly growing field that focuses on building, maintaining, and improving the systems that collect, store, proces
Read More

by Rohit Sharma

21 Sep 2023

Big Data Architects Salary in India: For Freshers &#038; Experienced [2024]
899223
Big Data – the name indicates voluminous data, which can be both structured and unstructured. Many companies collect, curate, and store data, but how
Read More

by Rohit Sharma

04 Sep 2023

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon