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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
Tools
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security 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:
    How to do it...
  4. Insert data using the commands shown in the following screenshot:
    How to do it...
  5. You can list the tables and scan a table, as shown in the following screenshot:
    How to do it...
  6. Commands can be passed in non-interactive mode, as shown in the following screenshot:
    $ echo "scan 'test'" | hbase shell
    $ echo "put 'test', 'r3',...
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