Book Image

Apache Hadoop 3 Quick Start Guide

By : Hrishikesh Vijay Karambelkar
Book Image

Apache Hadoop 3 Quick Start Guide

By: Hrishikesh Vijay Karambelkar

Overview of this book

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.
Table of Contents (10 chapters)

Understanding YARN architecture

YARN separates the role of Job Tracker into two separate entities. A Resource Manager is a central authority and is responsible for allocation and management of cluster resources, and an application master to manage the life cycle of applications that are running on the cluster. The following diagram depicts YARN architecture and the flow of requests-response:

YARN provides the basic units of applications such as memory, CPU, and GPU. The units of an application are utilized by containers. All containers are managed by respective Node Managers running on the Hadoop cluster. The Application master (AM) negotiates with the Resource Manager (RM) for container availability along with the resource manager. The AM container is initialized by client through resource manager as shown in step 2. Once AM is initialized, it demands container availability...