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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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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 the built-in User Defined Table Function (UDTF)


Normal functions take one row as input and provide one row as transformed output. On the other side, built-in table-generating functions take one row as input and produce multiple output rows.

How to do it…

The built-in table-generating functions could be used directly in the query. The following are some examples of the table-generating functions available in Hive:

Function Name

Return Type

Description

explode(ARRAY)

N rows

It will return n of rows where n is the size of an array. This function represents each element of an array as a row.

explode(MAP)

N rows

It will return n number of rows where n is the size of a map. This function represents each key-value element of the map as a row containing two columns: one for key and another for value.

inline(ARRAY<STRUCT[,STRUCT]>)

 

It is used to explode an array of struct elements into a table.

json_tuple(jsonStr, k1, k2, ...)

tuple

It is used to extract a set of keys from...

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