Book Image

Hadoop Real-World Solutions Cookbook - Second Edition

By : Tanmay Deshpande
Book Image

Hadoop Real-World Solutions Cookbook - Second Edition

By: Tanmay Deshpande

Overview of this book

Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization. Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book. This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business.
Table of Contents (18 chapters)
Hadoop Real-World Solutions Cookbook Second Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Index

Processing XML data in Hive using XML SerDe


XML has been one of the most important data structures and has been used for quite a long time for data transfers and storage. Parsing XML data and then processing it is always a tricky task as parsing XML is one of the most costliest operations. Hive does not have any built-in support for XML data processing, but many organizations and individuals have made open source contributions to XML SerDe.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Hive installed on it. Here, I am using Hive 1.2.1. Apart from Hive, we also need XML SerDe.

There are various XML SerDe that have been made available by open source developers. Out of these, XML SerDe at https://github.com/dvasilen/Hive-XML-SerDe is well developed and quite useful. So, we can download the jar from http://search.maven.org/remotecontent?filepath=com/ibm/spss/hive/serde2/xml/hivexmlserde/1.0.5.3/hivexmlserde-1.0.5.3.jar.

How to do...