Hadoop Operations and Cluster Management Cookbook
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Hadoop Operations and Cluster Management Cookbook

Hadoop Operations and Cluster Management Cookbook

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About the Book

Solve specific problems using individual self-contained code recipes, or work through the book to develop your capabilities. This book is packed with easy-to-follow code and commands used for illustration, which makes your learning curve easy and quick.If you are a Hadoop cluster system administrator with Unix/Linux system management experience and you are looking to get a good grounding in how to set up and manage a Hadoop cluster, then this book is for you. It's assumed that you will have some experience in Unix/Linux command line already, as well as being familiar with network communication basics.

Table of Contents:
Table of Contents Preface Chapter 1: Big Data and Hadoop Chapter 2: Preparing for Hadoop Installation Chapter 3: Configuring a Hadoop Cluster Chapter 4: Managing a Hadoop Cluster Chapter 5: Hardening a Hadoop Cluster Chapter 6: Monitoring a Hadoop Cluster Chapter 7: Tuning a Hadoop Cluster for Best Performance Chapter 8: Building a Hadoop Cluster with Amazon EC2 and S3 Index Preface Up Chapter 1: Big Data and Hadoop Introduction Defining a Big Data problem Building a Hadoop-based Big Data platform Choosing from Hadoop alternatives Up Chapter 2: Preparing for Hadoop Installation Introduction Choosing hardware for cluster nodes Designing the cluster network Configuring the cluster administrator machine Creating the kickstart file and boot media Installing the Linux operating system Installing Java and other tools Configuring SSH Up Chapter 3: Configuring a Hadoop Cluster Introduction Choosing a Hadoop version Configuring Hadoop in pseudo-distributed mode Configuring Hadoop in fully-distributed mode Validating Hadoop installation Configuring ZooKeeper Installing HBase Installing Hive Installing Pig Installing Mahout Up Chapter 4: Managing a Hadoop Cluster Introduction Managing the HDFS cluster Configuring SecondaryNameNode Managing the MapReduce cluster Managing TaskTracker Decommissioning DataNode Replacing a slave node Managing MapReduce jobs Checking job history from the web UI Importing data to HDFS Manipulating files on HDFS Configuring the HDFS quota Configuring CapacityScheduler Configuring Fair Scheduler Configuring Hadoop daemon logging Configuring Hadoop audit logging Upgrading Hadoop Up Chapter 5: Hardening a Hadoop Cluster Introduction Configuring service-level authentication Configuring job authorization with ACL Securing a Hadoop cluster with Kerberos Configuring web UI authentication Recovering from NameNode failure Configuring NameNode high availability Configuring HDFS federation Up Chapter 6: Monitoring a Hadoop Cluster Introduction Monitoring a Hadoop cluster with JMX Monitoring a Hadoop cluster with Ganglia Monitoring a Hadoop cluster with Nagios Monitoring a Hadoop cluster with Ambari Monitoring a Hadoop cluster with Chukwa Up Chapter 7: Tuning a Hadoop Cluster for Best Performance Introduction Benchmarking and profiling a Hadoop cluster Analyzing job history with Rumen Benchmarking a Hadoop cluster with GridMix Using Hadoop Vaidya to identify performance problems Balancing data blocks for a Hadoop cluster Choosing a proper block size Using compression for input and output Configuring speculative execution Setting proper number of map and reduce slots for the TaskTracker Tuning the JobTracker configuration Tuning the TaskTracker configuration Tuning shuffle, merge, and sort parameters Configuring memory for a Hadoop cluster Setting proper number of parallel copies Tuning JVM parameters Configuring JVM Reuse Configuring the reducer initialization time Up Chapter 8: Building a Hadoop Cluster with Amazon EC2 and S3 Introduction Registering with Amazon Web Services (AWS) Managing AWS security credentials Preparing a local machine for EC2 connection Creating an Amazon Machine Image (AMI) Using S3 to host data Configuring a Hadoop cluster with the new AMI


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Product Details
  • ISBN-13: 9781782165163
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • ISBN-10: 1782165169
  • Height: 235 mm
  • No of Pages: 368
  • Width: 191 mm


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