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Apache Hive Essentials. - Second Edition

You're reading from Apache Hive Essentials. - Second Edition

Product type Book

Published in Jun 2018

Publisher Packt

ISBN-13 9781788995092

Pages 210 pages

Edition 2nd Edition

Languages

Concepts

Author (1):

Dayong Du

Table of Contents (12) Chapters

Preface

1. Overview of Big Data and Hive

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

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Functions

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

Hive has defined relational operators, arithmetic operators, logical operators, complex type operators, and complex type constructors. For relational, arithmetic, and logical operators, they are similar to standard operators in SQL/Java. For operators on a complex data type, we have already introduced them in the Understanding Hive data types Section in Chapter 3, Data Definition and Description, as well as the example of inserting data into dynamic partitions earlier in this chapter. Functions in HQL are categorized as follows...

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Authors (1)

Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.

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