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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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Toc

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

Loading data from a local machine to HDFS


In this recipe, we are going to load data from a local machine's disk to HDFS.

Getting ready

To perform this recipe, you should have an already Hadoop running cluster.

How to do it...

Performing this recipe is as simple as copying data from one folder to another. There are a couple of ways to copy data from the local machine to HDFS.

  • Using the copyFromLocal command

    • To copy the file on HDFS, let's first create a directory on HDFS and then copy the file. Here are the commands to do this:

      hadoop fs -mkdir /mydir1
      hadoop fs -copyFromLocal /usr/local/hadoop/LICENSE.txt /mydir1
      
  • Using the put command

    • We will first create the directory, and then put the local file in HDFS:

      hadoop fs -mkdir /mydir2
      hadoop fs -put /usr/local/hadoop/LICENSE.txt /mydir2
      

You can validate that the files have been copied to the correct folders by listing the files:

hadoop fs -ls /mydir1
hadoop fs -ls /mydir2

How it works...

When you use HDFS copyFromLocal or the put command, the following...

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