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Apache Hive Essentials

You're reading from   Apache Hive Essentials Essential techniques to help you process, and get unique insights from, big data

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Length 210 pages
Edition 2nd 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 FREE CHAPTER 2. Setting Up the Hive Environment 3. Data Definition and Description 4. Data Correlation and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools 11. Other Books You May Enjoy

User-defined functions

User-defined functions provide a way to use the user's own application/business logic for processing column values during an HQL query. For example, a user-defined function could perform feature cleaning with an external machine learning library, authenticate user access from other services, merge several values into one or many, perform special data encoding or encryption, and other operations that are outside the scope of the regular HQL operators and functions. Hive defines the following three types of user-defined functions, which are extensible:

  • UDF: It stands for User-Defined Function, which operates row-wise and outputs one result for one row, such as most built-in mathematics and string functions.
  • UDAF: It stands for User-Defined Aggregating Function, which operates row-wise or group-wise and outputs one row for the whole table or one row for...
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