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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 2. Services in Hive FREE CHAPTER 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 a map-side join


In this recipe, you will learn how to use a map-side joins in Hive.

While joining multiple tables in Hive, there comes a scenario where one of the tables is small in terms of rows while another is large. In order to produce the result in an efficient manner, Hive uses map-side joins. In map-side joins, the smaller table is cached in the memory while the large table is streamed through mappers. By doing so, Hive completes the joining at the mapper side only, thereby removing the reducer job. By doing so, performance is improved tremendously.

How to do it…

There are two ways of using map-side joins in Hive.

One is to use the /*+ MAPJOIN(<table_name>)*/ hint just after the select keyword. table_name has to be the table that is smaller in size. This is the old way of using map-side joins.

The other way of using a map-side join is to set the following property to true and then run a join query:

set hive.auto.convert.join=true;

Follow these steps to use a map-side join in...

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