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

Hive metastore database


In this recipe, we will look at the MySQL database that is used as a metastore database. It is important to understand how the Hive-managed tables are depicted by metadata, and how the metadata database is queried to find the location of tables and their partitions.

Getting ready

For this recipe, you must have completed the Partitioning and Bucketing in Hive recipe and have a basic understanding of MySQL commands and SQL query syntax.

How to do it...

  1. Connect to the MySQL server from any node in the cluster using the following command:

    $ mysql –u hadoop –h master1.cyrus.com -p
    
  2. The username and password can be found in the hive-site.xml file.

  3. Switch to the Hive metastore database, which in our case is hive_db. There are many tables in the databases that together constitute metadata for the tables.

  4. The VERSION table stores information about the schema version, as shown in the following screenshot:

  5. The TBLS table stores information about the tables, as shown in the following...