Book Image

Hadoop Operations and Cluster Management Cookbook

By : Shumin Guo
Book Image

Hadoop Operations and Cluster Management Cookbook

By: Shumin Guo

Overview of this book

<p>We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers of a large number of commodity machines, solves this problem in an elegant way!</p> <p>Hadoop Operations and Cluster Management Cookbook is a practical and hands-on guide for designing and managing a Hadoop cluster. It will help you understand how Hadoop works and guide you through cluster management tasks.</p> <p>This book explains real-world, big data problems and the features of Hadoop that enables it to handle such problems. It breaks down the mystery of a Hadoop cluster and will guide you through a number of clear, practical recipes that will help you to manage a Hadoop cluster.</p> <p>We will start by installing and configuring a Hadoop cluster, while explaining hardware selection and networking considerations. We will also cover the topic of securing a Hadoop cluster with Kerberos, configuring cluster high availability and monitoring a cluster. And if you want to know how to build a Hadoop cluster on the Amazon EC2 cloud, then this is a book for you.</p>
Table of Contents (15 chapters)
Hadoop Operations and Cluster Management Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Configuring the HDFS quota


In a multiuser environment, quota can enforce the fair share of computing resources. HDFS supports quota for users and directories. In this recipe, we will list steps to configure the HDFS quota.

Getting ready

We assume that the Hadoop cluster has been configured properly and all the daemons are running without any issues.

How to do it...

Perform the following steps to manage an HDFS quota:

  1. Set the name quota on the home directory with the following command:

    hadoop dfsadmin -setQuota 20 /usr/hduser
    

    This command will set name quota on the home directory to 20, which means at most 20 files, including directories, can be created under the home directory.

    If we reach the quota, an error message similar to the following will be given:

    put: org.apache.hadoop.hdfs.protocol.NSQuotaExceededException: The NameSpace quota (directories and files) of directory /user/hduser is exceeded: quota=20 file count=141
    
  2. Set the space quota of the current user's home directory to be 100000000...