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

Inserting data into HBase


In this recipe, we will insert data into HBase and see how it is stored. The syntax for import data is not similar to SQL, as there are no select or insert statements. To insert data, we use put and scan for select.

Getting ready

Before going through the recipe in this section, make sure you have completed the previous recipe, Setting up multi-node HBase cluster.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and switch to the user hadoop.

  2. Connect to the HBase shell using the hbase shell command. You can connect to the shell in interactive mode or script it.

  3. Create a table as shown in the following screenshot:

  4. Insert data using the commands shown in the following screenshot:

  5. You can list the tables and scan a table, as shown in the following screenshot:

  6. Commands can be passed in non-interactive mode, as shown in the following screenshot:

    $ echo "scan 'test'" | hbase shell
    $ echo "put 'test', 'r3', 'cf:3', 'val3'" | hbase shell
    
  7. We can use the...