Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Using MySQL for Hive metastore


The preceding configuration is the embedded mode configuration, which is not production ready and should not be used.

Now, we will enable the metastore to connect to an external MySQL database and scale to multiple connections. This will be the local metastore mode.

The assumption here is that the readers know the basics of MySQL user management and can assign grants.

How to do it…

  1. Clean up the old databases by either dropping from Hive or simply cleaning the warehouse location. Note: this should never be done in production. This is shown in the following screenshot:

  2. Now, firstly, we need to install the MySQL server on any node in the cluster or outside the Hadoop cluster. In our case, we will install it on the master node master1.cyrus.com:

    # yum install mysql-server –y
    # /etc/init.d/mysqld start
    # chkconfigmysql on
  3. Make sure that the firewall on the master node allows the connection to port 3306 from the Edge node in the cluster. It is better to allow it to connect...