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Hadoop Real-World Solutions Cookbook- Second Edition

You're reading from   Hadoop Real-World Solutions Cookbook- Second Edition Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Length 290 pages
Edition 2nd Edition
Tools
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Hadoop 2.X FREE CHAPTER 2. Exploring HDFS 3. Mastering Map Reduce Programs 4. Data Analysis Using Hive, Pig, and Hbase 5. Advanced Data Analysis Using Hive 6. Data Import/Export Using Sqoop and Flume 7. Automation of Hadoop Tasks Using Oozie 8. Machine Learning and Predictive Analytics Using Mahout and R 9. Integration with Apache Spark 10. Hadoop Use Cases Index

Exporting data from HDFS to RDBMS


In the previous recipe, we spoke about how to import data from MySQL to HDFS. Now it is time to see how to export data from HDFS to RDBMS using Sqoop. Generally, this is required when you want to keep processed data in RDBMS to be used by some reporting tools.

Getting ready

To perform this recipe, you should have a Hadoop cluster running with you as well as the latest version of Sqoop installed on it. Here I am using Sqoop 1.4.6. We would also need the MySQL database to be present in the network. Installing Sqoop is easy; by downloading Sqoop tar ball and setting it in system path. As we are going to import data from MySQL, we would also need to download MySQL connector. Based on your MySQL version, download the right connector jar and copy it into the lib directory of Sqoop installation.

How to do it...

In the previous recipe, we imported data from MySQL into HDFS. Now we are going to export this data back to some different MySQL table.

  1. To do this, first we...

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