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Hadoop Real-World Solutions Cookbook - Second Edition

You're reading from  Hadoop Real-World Solutions Cookbook - Second Edition

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Pages 290 pages
Edition 2nd Edition
Languages
Author (1):
Tanmay Deshpande Tanmay Deshpande
Profile icon Tanmay Deshpande

Table of Contents (18) Chapters

Hadoop Real-World Solutions Cookbook Second Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Getting Started with Hadoop 2.X Exploring HDFS Mastering Map Reduce Programs Data Analysis Using Hive, Pig, and Hbase Advanced Data Analysis Using Hive Data Import/Export Using Sqoop and Flume Automation of Hadoop Tasks Using Oozie Machine Learning and Predictive Analytics Using Mahout and R Integration with Apache Spark Hadoop Use Cases Index

Storing and processing Hive data in the ORC file format


I'm sure that most of the time, you would have created Hive tables and stored data in a text format; in this recipe, we are going to store data in RC files.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Hive installed on it. Here, I am going to use Hive 1.2.1.

How to do it...

Hive 1.2.1 supports different types of files, which help process data in a fast manner. In this recipe, we are going to use RC files to store data in Hive. To store data in RC files, we first need to create a Hive table that stores this data in a textual format. We will use the same table that we created in the first recipe.

Creating a table to store RCFILE is very easy, as shown here:

create table employee_rc(
id int, name string)
row format delimited
fields terminated by '|'
stored as RCFILE;

To insert data into the table from our text table, we need to execute the following query, which would start the...

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