Book Image

Hadoop Real-World Solutions Cookbook - Second Edition

By : Tanmay Deshpande
Book Image

Hadoop Real-World Solutions Cookbook - Second Edition

By: Tanmay Deshpande

Overview of this book

Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization. Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book. This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business.
Table of Contents (18 chapters)
Hadoop Real-World Solutions Cookbook Second Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
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...