Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Loading data in HDFS


It is important to make sure that the cluster is working fine and the user can perform file operations on the cluster.

Getting ready

Log in to any of the nodes in the cluster. It's best to use the edge node, as stated in Chapter 1, Hadoop Architecture and Deployment, and switch to user hadoop.

Create a simple text file named file1.txt using any of your favorite text editors, and write some content in it.

How to do it...

  1. Connect to the client1.cluster1.com edge node and switch to the hadoop user.

  2. Copy the file1.txt file to HDFS, as shown in the following screenshot:

  3. The user can check for the status of a file, as shown in the following screenshot:

  4. The user can make sure that the file exists and its type is correct, as shown in the following screenshot. The user can execute the commands to see the sub options:

    $ hadoop fs (and hit enter to see the options)
    

How it works...

Steps 2 and 3 create a simple text file on the local filesystem and then copy it to HDFS to make sure that...