Book Image

Hadoop Essentials

By : Shiva Achari
Book Image

Hadoop Essentials

By: Shiva Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (15 chapters)
Hadoop Essentials
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
3
Pillars of Hadoop – HDFS, MapReduce, and YARN
Index

Compaction


In HBase, the MemStore in Regions creates many HFiles for a Column Family. This large number of files will require more time to read and hence, can impact the read performance. To improve the performance, HBase performs compaction to merge files in order to reduce their number and to keep the data manageable. The compaction process identifies the StoreFiles to merge by running an algorithm which is called compaction policy. There are two types of compactions: minor compactions and major compactions.

The Compaction policy

Compaction policy is the algorithm which can be used to select the StoreFiles for merging. Two policies are possible and the available ones are ExploringCompactionPolicy and RatioBasedCompactionPolicy. To set the policy algorithm, we have to set the value of the property hbase.hstore.defaultengine.compactionpolicy.class of hbase-site.xml. RatioBasedCompactionPolicy was available as the default policy prior to HBase 0.96 and is still available. ExploringCompactionPolicy...