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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
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Tools
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Authors (3):
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Hanish Bansal Hanish Bansal
Author Profile Icon Hanish Bansal
Hanish Bansal
Saurabh Chauhan Saurabh Chauhan
Author Profile Icon Saurabh Chauhan
Saurabh Chauhan
Shrey Mehrotra Shrey Mehrotra
Author Profile Icon Shrey Mehrotra
Shrey Mehrotra
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Toc

Table of Contents (14) Chapters Close

Preface 1. Developing Hive FREE CHAPTER 2. Services in Hive 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Using miscellaneous data types


Hive supports two miscellaneous data types: Boolean and Binary:

Boolean accepts true or false values.

Binary is a sequence of bytes. It is similar to the VARBINARY data type found in many relational databases. If a field is declared as the binary type, then it is stored within a record, not separately like BLOBs. The binary data type is used when a record has hundreds of columns, and the user is just interested in a few columns and doesn't bother about an exact type information of other columns. In such cases, a user can define the type of those columns as binary, so Hive will not try to interpret those columns. It is used to include the arbitrary types in record, and Hive doesn't attempt to parse them as numbers, strings, and so on.

How to do it…

The following is the example in order to use the Boolean data types in Hive:

CREATE TABLE example (id INT, status BOOLEAN, description STRING);

The preceding statement creates a table, example, with the status as the Boolean...

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Tech Concepts
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Programming languages
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