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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
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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 complex data types


In addition to primitive data types, Hive also supports a few complex data types: Struct, MAP, and Array. Complex data types are also known as collection data types. Most relational databases don't support such data types.

Complex data types can be built from primitive data types:

  • STRUCT: The struct data type in Hive is analogous to the STRUCT in C programming language. It is a record type that holds a set of named fields that can be of any primitive data types. Fields in the STRUCT type are accessed using the DOT (.) notation.

    Syntax: STRUCT<col_name : data_type [COMMENT col_comment], ...>

    For example, if a column address is of the type STRUCT {city STRING; state STRING}, then the city field can be referenced using address.city.

  • MAP: The map data type contains key-value pairs. In Map, elements are accessed using the keys. For example, if a column name is of type Map: 'firstname' -> 'john' and 'lastname' -> 'roy', then the last name can be accessed using the...

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