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

Sqoop 1 architecture


Sqoop1 architecture is a client-side tool, which is tightly coupled with the Hadoop cluster. A Sqoop command initiated by the client fetches the metadata of the tables, columns, and data types, according to the connectors and drivers interfaces. The import or export is translated to a Map-only Job program to load the data in parallel between the databases and Hadoop. Clients should have the appropriate connector and driver for the execution of the process.

The Sqoop architecture is shown in the following figure:

Limitation of Sqoop 1

Few limitations that were realized after a wide adaptation of Sqoop 1 for data ingestion led to Sqoop 2, which were:

  • Connectors have to support the serialization format, otherwise Sqoop cannot transfer data in that format and connectors have to be JDBC drivers. Some database vendors do not provide it.

  • Not easy to configure and install.

  • Monitoring and debugging is difficult.

  • Security concerns as Sqoop 1 requires root access to install and configure...