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

Kafka Storm integration

Now we will create a Storm topology that will consume messages from the Kafka topic new_topic and aggregate words into sentences.

The complete message flow is shown as follows:

We have already seen KafkaSampleProducer, which produces words into the Kafka broker. Now we will create a Storm topology that will read those words from Kafka to aggregate them into sentences. For this, we will have one KafkaSpout in the application that will read the messages from Kafka and two bolts, WordBolt that receive words from KafkaSpout and then aggregate them into sentences, which are then passed onto the SentenceBolt, which simply prints them on the output stream. We will be running this topology in a local mode.

Follow the steps to create the Storm topology:

  1. Create a new Maven project with groupId as com.stormadvance and artifactId as kafka-storm-topology.
  2. Add the following dependencies for Kafka-Storm and Storm in the pom.xml file: