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Hadoop Real-World Solutions Cookbook - Second Edition

You're reading from  Hadoop Real-World Solutions Cookbook - Second Edition

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Pages 290 pages
Edition 2nd Edition
Languages
Author (1):
Tanmay Deshpande Tanmay Deshpande
Profile icon Tanmay Deshpande

Table of Contents (18) Chapters

Hadoop Real-World Solutions Cookbook Second Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Getting Started with Hadoop 2.X Exploring HDFS Mastering Map Reduce Programs Data Analysis Using Hive, Pig, and Hbase Advanced Data Analysis Using Hive Data Import/Export Using Sqoop and Flume Automation of Hadoop Tasks Using Oozie Machine Learning and Predictive Analytics Using Mahout and R Integration with Apache Spark Hadoop Use Cases Index

Importing data into HDFS from Mainframes


Mainframes is one of the most used datasets in financial domain for quite a long time. Sqoop supports importing datasets from Mainframes into HDFS. This is an important recipe for those who are looking to migrate from Mainframes to Hadoop base systems.

Getting ready

To perform this recipe, you should have a Hadoop cluster running with you as well as the latest version of Sqoop installed on it. Here I am using Sqoop 1.4.6. We would also need a MySQL database to be present in the network. Installing Sqoop is easy by downloading Sqoop tar ball and setting it in the system path.

How to do it...

Sqoop provides a tool called import-mainframe, using which, we can connect to a certain mainframe host and select the dataset to be imported. The following command connects to a mainframe host with the provided credentials and then imports the mentioned dataset into the HDFS target directory:

 sqoop import-mainframe --connnect <mainframes-host> \
--dataset <...
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