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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

Data type conversions


Similar to Java, Hive supports both implicit type conversion and explicit type conversion.

Primitive type conversion from a narrow to a wider type is known as implicit conversion. However, the reverse conversion is not allowed. All the integral numeric types, FLOAT, and STRING can be implicitly converted to DOUBLE, and TINYINT, SMALLINT, and INT can all be converted to FLOAT. BOOLEAN types cannot be converted to any other type. In the Apache Hive wiki, there is a data type cross table describing the allowed implicit conversion between every two types in Hive and this can be found at https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Types.

Explicit type conversion is using the CAST function with the CAST(value AS TYPE) syntax. For example, CAST('100' AS INT) will convert the string 100 to the integer value 100. If the cast fails, such as CAST('INT' AS INT), the function returns NULL. In addition, the BINARY type can only cast to STRING, then cast from STRING...

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