Hadoop 2.x Administration Cookbook
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.
|Course Length||10 hours 26 minutes|
|Date Of Publication||25 May 2017|
|Initiating Namenode saveNamespace|
|Using HDFS Image Viewer|
|Fetching parameters which are in-effect|
|Configuring HDFS and YARN logs|
|Backing up and recovering Namenode|
|Configuring Secondary Namenode|
|Promoting Secondary Namenode to Primary|
|Namenode roll edits – online mode|
|Namenode roll edits – offline mode|
|Datanode recovery – disk full|
|Configuring NFS gateway to serve HDFS|
|Recovering deleted files|