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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
Languages
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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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 numeric data types


Hive supports a set of data types that can be used for table columns, expression values, and function arguments, and return values.

In the following table, primitive numeric data types are listed with sizes and examples:

Data Type

Size

Example

TINYINT

1-byte signed integer

50

SMALLINT

2-byte signed integer

20,000

INT

4-byte signed integer

1,000

BIGINT

8-byte signed integer

50,000

FLOAT

4-byte single-precision floating point

400.50

DOUBLE

8-byte double-precision floating point

20,000.50

DECIMAL

17-byte precision up to 38 digits

DECIMAL(20,2)

By default, all integral literals are treated as the INT values until they cross the range of INT values. If some integral literal crosses the range of the INT value, then it is treated as the BIGINT value. There is a mechanism of postfix, which is used to specify an integral literal as TINYINT, SMALLINT, and BIGINT.

To specify an integral literal as TINYINT, the postfix Y is used. For example, you can specify...

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Programming languages
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