Book Image

Apache Hive Essentials - Second Edition

Book Image

Apache Hive Essentials - Second Edition

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)

Extensibility Considerations

Although Hive has provided many built-in functions, in special use cases, users may need power beyond what's provided. In this case, we can extend Hive's functionality in three main areas:

  • User-defined function (UDF): This provides a way to extend functionalities with an external function (mainly written in Java) that can be evaluated in HQL
  • HPL/SQL: This provides procedure-language-programming support to HQL
  • Streaming: This plugs a user's own customized programs in to the data streaming
  • SerDe: This stands for serialization and deserialization and provides a way to serialize or deserialize data with the customized file format

In this chapter, we'll talk about each of them in more detail.