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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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Toc

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

Migrating data from MySQL to HBase using Sqoop

In this recipe, we will cover how to migrate data from MySQL to HBase. This could be a very common use case in any organization that has been using RDMS and wants to move to HBase.

An important thing to understand here is that the intent of migration is not a replacement for the traditional RDBMS system, but to complement it.

To do this operation we will be using Sqoop to import data from RDBMS to Hadoop. The destination could be the HDFS filesystem, Hive, or HBase.

Getting ready

Before going through the recipe, you must have completed the Hive metastore using MySQL recipe in Chapter 7, Data Ingestion and Workflow, and the Setting up multi-node HBase cluster recipe. Make sure the services for HBase, YARN, and HDFS are running as shown in the following screenshot:

Getting ready

How to do it...

  1. Connect to the edge1.cyrus.com edge node and switch to the user hadoop.
  2. Although you can do these steps on any node, all clients are installed on the edge nodes.
  3. Firstly, we...
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