Book Image

Apache Hive Essentials. - Second Edition

By : Dayong Du
Book Image

Apache Hive Essentials. - Second Edition

By: Dayong Du

Overview of this book

In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems
Table of Contents (12 chapters)

Summary

In this chapter, we introduced four main areas to extend Hive's functionalities. We also covered three kinds of user-defined functions as well as their coding templates and deployment steps to guide the coding and deployment process. Then, we introduced HPL/SQL, which adds procedure-language programming to HQL. In addition, we talked about streaming to plug in your own code, which does not have to be Java code. At the end of this chapter, we discussed the available SerDe to parse different formats of data files when reading or writing data. After going through this chapter, you should be able to write basic UDFs and HPL/SQL, plug code into streams, and use available SerDe in Hive.

In the next chapter, we'll talk about security considerations.