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)

Filtering data with conditions

It is quite common to narrow down the result set by using a condition clause, such as LIMIT, WHERE, IN/NOT IN, and EXISTS/NOT EXISTS. The LIMIT keyword limits the specified number of rows returned randomly. Compared with LIMIT, WHERE is a more powerful and generic condition clause to limit the returned result set by expressions, functions, and nested queries as in the following examples:

> SELECT name FROM employee LIMIT 2;
+----------+
| name |
+----------+
| Lucy |
| Michael |
+----------+
2 rows selected (71.125 seconds)


> SELECT name, work_place FROM employee WHERE name = 'Michael';
+----------+------------------------+
| name | work_place |
+----------+------------------------+
| Michael | ["Montreal","Toronto"] |
+----------+------------------------+
1 row selected (38.107 seconds)

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