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)

Data Aggregation and Sampling

This chapter is about how to aggregate and sample data in HQL. It first covers the use of several aggregate functions, enhanced aggregate functions, and window functions working with a GROUP BY, PARTITION BY statement. Then, it introduces the different ways of sampling data. In this chapter, we will cover the following topics:
  • Basic aggregation
  • Enhanced aggregation
  • Aggregation condition
  • Window functions
  • Sampling