Book Image

Mastering Apache Storm

By : Ankit Jain
Book Image

Mastering Apache Storm

By: Ankit Jain

Overview of this book

Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You’ll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we’ll introduce you to Trident and you’ll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm. With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.
Table of Contents (19 chapters)
Title Page
About the Author
About the Reviewers
Customer Feedback

Chapter 9. Storm and Hadoop Integration

So far, we have seen how Storm can be used for developing real-time stream processing applications. In general, these real-time applications are seldom used in isolation; they are more often than not used in combination with other batch processing operations.

The most common platform for developing batch jobs is Apache Hadoop. In this chapter, we will see how applications built with Apache Storm can be deployed over existing Hadoop clusters with the help of a Storm-YARN framework for optimized use and management of resources. We will also cover how we can write the process data into HDFS by creating an HDFS bolt in Storm.

In this chapter, we will cover the following topics:

  • Overview of Apache Hadoop and its various components
  • Setting up a Hadoop cluster
  • Write Storm topology to persist data into HDFS
  • Overview of Storm-YARN
  • Deploying Storm-YARN on Hadoop
  • Running a storm application on Storm-YARN.