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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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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

Partitioning a managed table


Managed tables can be partitioned using the PARTITIONED BY clause. In a managed table, if you delete a table, then the data of that table will also get deleted. Similarly, if you delete a partition, then the data of that partition will also get deleted.

How to do it…

Let's take an example of the customer table data and imagine that we have the data of different customers of different country. Now if we don't enable any partitioning, then by default, all data will go into one directory. Let's assume that data size is around 1 TB. Now if we query for customers belonging to India, then this query will be executed on entire data of 1 TB size and this query will take more time. By enabling partitioning this query, execution can be much faster. If we want to split the data on the country basis, then the following command can be used to create a table with the partitioned column country:

CREATE TABLE customer(id STRING, name STRING, gender STRING, state STRING) PARTITIONED...
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