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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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Authors (3):
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Hanish Bansal Hanish Bansal
Author Profile Icon Hanish Bansal
Hanish Bansal
Saurabh Chauhan Saurabh Chauhan
Author Profile Icon Saurabh Chauhan
Saurabh Chauhan
Shrey Mehrotra Shrey Mehrotra
Author Profile Icon Shrey Mehrotra
Shrey Mehrotra
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Toc

Table of Contents (19) Chapters Close

Apache Hive Cookbook
Credits
About the Authors
About the Reviewer
www.PacktPub.com
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

Bucketing


Bucketing is a technique that allows you to decompose your data into more manageable parts, that is, fix the number of buckets. Usually, partitioning provides a way of segregating the data of a Hive table into multiple files or directories. Partitioning is used to increase the performance of queries, but the partitioning technique is efficient only if there is a limited number of partitions. Partitioning doesn't perform well if there is a large number of partitions; for example, we are doing partitioning on a column that has large number of unique values, then there will be a large number of partitions.

To overcome the problem of partitioning, Hive provides the concept of bucketing. In bucketing, we specify the fixed number of buckets in which entire data is to be decomposed. Bucketing concept is based on the hashing principle, where same type of keys are always sent to the same bucket.

In bucketing, records with the same bucketed columns will always go to the same bucket. When data...

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