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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
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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 bucket map join


In this recipe, you will learn how to use a bucket map join in Hive.

A bucket map join is used when the tables are large and all the tables used in the join are bucketed on the join columns. In this type of join, one table should have buckets in multiples of the number of buckets in another table. For example, if one table has 2 buckets then the other table must have either 2 buckets or a multiple of 2 buckets (2, 4, 6, and so on). If the preceding condition is satisfied then the joining can be done at the mapper side only, otherwise a normal inner join is performed. This means that only the required buckets are fetched on the mapper side and not the complete table. That is, only the matching buckets of all small tables are replicated onto each mapper. Doing this, the efficiency of the query is improved drastically. In a bucket map join, data is not sorted.

Hive does not support a bucket map join by default. The following property needs to be set to true for the query...

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