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Apache Hive Essentials

You're reading from   Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Length 208 pages
Edition 1st Edition
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Author (1):
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Dayong Du Dayong Du
Author Profile Icon Dayong Du
Dayong Du
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Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive 2. Setting Up the Hive Environment FREE CHAPTER 3. Data Definition and Description 4. Data Selection and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools Index

Operators and functions


To further manipulate data, we can also use expressions, operators, and functions in Hive to transform data. The Hive wiki (https://cwiki.apache.org/confluence/display/Hive/LanguageManual+UDF) has offered specifications for each expression and function, so we do not want to repeat all of them here except a few important usages or tips in this chapter.

Hive has defined relational operators, arithmetic operators, logical operators, complex type constructors, and complex type operators. For relational, arithmetic, and logical operators, they are similar to standard operators in SQL/Java. We do not repeat them again in this chapter. For operators on a complex data type, we have already introduced them in the Understanding Hive data types section of Chapter 3, Data Definition and Description, as well as the example for a dynamic partition insert in this chapter.

The functions in Hive are categorized as follows:

  • Mathematical functions: These functions are mainly used to perform...

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